2025-06-05T23:12:35.5518567Z Current runner version: '2.325.0' 2025-06-05T23:12:35.5525020Z Runner name: 'i-011b798db4ef69415' 2025-06-05T23:12:35.5526246Z Machine name: 'ip-10-0-46-184' 2025-06-05T23:12:35.5529007Z ##[group]GITHUB_TOKEN Permissions 2025-06-05T23:12:35.5531313Z Contents: read 2025-06-05T23:12:35.5531839Z Metadata: read 2025-06-05T23:12:35.5532458Z ##[endgroup] 2025-06-05T23:12:35.5535023Z Secret source: Actions 2025-06-05T23:12:35.5535791Z Prepare workflow directory 2025-06-05T23:12:35.6106426Z Prepare all required actions 2025-06-05T23:12:35.6149357Z Getting action download info 2025-06-05T23:12:35.8863789Z Download action repository 'actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683' (SHA:11bd71901bbe5b1630ceea73d27597364c9af683) 2025-06-05T23:12:36.1514041Z Download action repository 'pytorch/pytorch@9c1bc9ce4684de96db025292610c0664d3d55345' (SHA:9c1bc9ce4684de96db025292610c0664d3d55345) 2025-06-05T23:12:48.8732644Z Download action repository 'actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-06-05T23:12:49.1902896Z Download action repository 'pmeier/pytest-results-action@a2c1430e2bddadbad9f49a6f9b879f062c6b19b1' (SHA:a2c1430e2bddadbad9f49a6f9b879f062c6b19b1) 2025-06-05T23:12:49.2920078Z Download action repository 'actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-06-05T23:12:49.6886311Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-06-05T23:12:49.9296533Z Getting action download info 2025-06-05T23:12:50.0313656Z Download action repository 'pytorch/pytorch@main' (SHA:fa705f791249c5eee912096f1d7ac7b2d5b60e8c) 2025-06-05T23:13:03.1342970Z Complete job name: test-llama-runner-qnn-linux (fp32, qnn_16a16w, qnn) / linux-job 2025-06-05T23:13:03.1865910Z A job started hook has been configured by the self-hosted runner administrator 2025-06-05T23:13:03.1971588Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2025-06-05T23:13:03.1981320Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-06-05T23:13:03.1981989Z ##[endgroup] 2025-06-05T23:13:04.6366755Z Runner Type: linux.2xlarge 2025-06-05T23:13:04.6367524Z Instance Type: c5.2xlarge 2025-06-05T23:13:04.6367982Z AMI Name: unknown 2025-06-05T23:13:04.6393477Z AMI ID: ami-071226ecf16aa7d96 2025-06-05T23:13:10.3355319Z ##[group]Run set -euxo pipefail 2025-06-05T23:13:10.3355770Z set -euxo pipefail 2025-06-05T23:13:10.3356076Z if [[ "${NO_SUDO}" == "false" ]]; then 2025-06-05T23:13:10.3356461Z  echo "::group::Cleanup with-sudo debug output" 2025-06-05T23:13:10.3356835Z  sudo rm -rfv "${GITHUB_WORKSPACE}" 2025-06-05T23:13:10.3357154Z else 2025-06-05T23:13:10.3357409Z  echo "::group::Cleanup no-sudo debug output" 2025-06-05T23:13:10.3357769Z  rm -rfv "${GITHUB_WORKSPACE}" 2025-06-05T23:13:10.3358049Z fi 2025-06-05T23:13:10.3358272Z  2025-06-05T23:13:10.3358484Z mkdir -p "${GITHUB_WORKSPACE}" 2025-06-05T23:13:10.3358806Z echo "::endgroup::" 2025-06-05T23:13:10.3367408Z shell: /usr/bin/bash -e {0} 2025-06-05T23:13:10.3367703Z env: 2025-06-05T23:13:10.3367973Z DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk 2025-06-05T23:13:10.3368377Z REPOSITORY: pytorch/executorch 2025-06-05T23:13:10.3368718Z PR_NUMBER: 2025-06-05T23:13:10.3371909Z 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}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./install_requirements.sh --use-pt-pinned-commit PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh # Setup executorch PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}" # Install requirements for export_llama PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh # Test llama2 PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}" 2025-06-05T23:13:10.3375664Z NO_SUDO: false 2025-06-05T23:13:10.3375879Z ##[endgroup] 2025-06-05T23:13:10.3405450Z + [[ false == \f\a\l\s\e ]] 2025-06-05T23:13:10.3416163Z + echo '::group::Cleanup with-sudo debug output' 2025-06-05T23:13:10.3422792Z ##[group]Cleanup with-sudo debug output 2025-06-05T23:13:10.4519046Z + sudo rm -rfv /home/ec2-user/actions-runner/_work/executorch/executorch 2025-06-05T23:13:10.4519699Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch' 2025-06-05T23:13:10.4535431Z + mkdir -p /home/ec2-user/actions-runner/_work/executorch/executorch 2025-06-05T23:13:10.4546293Z + echo ::endgroup:: 2025-06-05T23:13:10.4547064Z ##[endgroup] 2025-06-05T23:13:10.4659009Z ##[group]Run actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 2025-06-05T23:13:10.4659508Z with: 2025-06-05T23:13:10.4659733Z repository: pytorch/test-infra 2025-06-05T23:13:10.4660027Z path: test-infra 2025-06-05T23:13:10.4660250Z submodules: recursive 2025-06-05T23:13:10.4660847Z token: *** 2025-06-05T23:13:10.4661066Z ssh-strict: true 2025-06-05T23:13:10.4661278Z ssh-user: git 2025-06-05T23:13:10.4661513Z persist-credentials: true 2025-06-05T23:13:10.4661758Z clean: true 2025-06-05T23:13:10.4661996Z sparse-checkout-cone-mode: true 2025-06-05T23:13:10.4662269Z fetch-depth: 1 2025-06-05T23:13:10.4662489Z fetch-tags: false 2025-06-05T23:13:10.4662719Z show-progress: true 2025-06-05T23:13:10.4662936Z lfs: false 2025-06-05T23:13:10.4663154Z set-safe-directory: true 2025-06-05T23:13:10.4663392Z env: 2025-06-05T23:13:10.4663636Z DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk 2025-06-05T23:13:10.4663974Z REPOSITORY: pytorch/executorch 2025-06-05T23:13:10.4664299Z PR_NUMBER: 2025-06-05T23:13:10.4667471Z SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") conda activate "${CONDA_ENV}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./install_requirements.sh --use-pt-pinned-commit PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh # Setup executorch PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}" # Install requirements for export_llama PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh # Test llama2 PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}" 2025-06-05T23:13:10.4670872Z ##[endgroup] 2025-06-05T23:13:10.5832262Z Syncing repository: pytorch/test-infra 2025-06-05T23:13:10.5833143Z ##[group]Getting Git version info 2025-06-05T23:13:10.5833680Z Working directory is '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra' 2025-06-05T23:13:10.5834404Z [command]/usr/bin/git version 2025-06-05T23:13:10.5834667Z git version 2.47.1 2025-06-05T23:13:10.5842613Z ##[endgroup] 2025-06-05T23:13:10.5855181Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/d655ec68-c05f-404a-9712-daa44b5ad422' before making global git config changes 2025-06-05T23:13:10.5860171Z Adding repository directory to the temporary git global config as a safe directory 2025-06-05T23:13:10.5861114Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/executorch/executorch/test-infra 2025-06-05T23:13:10.5888180Z ##[group]Initializing the repository 2025-06-05T23:13:10.5892750Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/executorch/executorch/test-infra 2025-06-05T23:13:10.5921229Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-06-05T23:13:10.5921858Z hint: is subject to change. To configure the initial branch name to use in all 2025-06-05T23:13:10.5922691Z hint: of your new repositories, which will suppress this warning, call: 2025-06-05T23:13:10.5923098Z hint: 2025-06-05T23:13:10.5923378Z hint: git config --global init.defaultBranch 2025-06-05T23:13:10.5923719Z hint: 2025-06-05T23:13:10.5924041Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-06-05T23:13:10.5924584Z hint: 'development'. The just-created branch can be renamed via this command: 2025-06-05T23:13:10.5925009Z hint: 2025-06-05T23:13:10.5925221Z hint: git branch -m 2025-06-05T23:13:10.5925802Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/.git/ 2025-06-05T23:13:10.5931057Z [command]/usr/bin/git remote add origin https://github.com/pytorch/test-infra 2025-06-05T23:13:10.5956321Z ##[endgroup] 2025-06-05T23:13:10.5956941Z ##[group]Disabling automatic garbage collection 2025-06-05T23:13:10.5960564Z [command]/usr/bin/git config --local gc.auto 0 2025-06-05T23:13:10.5984315Z ##[endgroup] 2025-06-05T23:13:10.5984702Z ##[group]Setting up auth 2025-06-05T23:13:10.5990441Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-06-05T23:13:10.6017337Z [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' || :" 2025-06-05T23:13:10.6290817Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-06-05T23:13:10.6317190Z [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' || :" 2025-06-05T23:13:10.6572340Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-06-05T23:13:10.6613457Z ##[endgroup] 2025-06-05T23:13:10.6614234Z ##[group]Determining the default branch 2025-06-05T23:13:10.6617365Z Retrieving the default branch name 2025-06-05T23:13:10.8460237Z Default branch 'main' 2025-06-05T23:13:10.8460924Z ##[endgroup] 2025-06-05T23:13:10.8461348Z ##[group]Fetching the repository 2025-06-05T23:13:10.8468842Z [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 2025-06-05T23:13:11.1659795Z From https://github.com/pytorch/test-infra 2025-06-05T23:13:11.1660246Z * [new branch] main -> origin/main 2025-06-05T23:13:11.1679652Z ##[endgroup] 2025-06-05T23:13:11.1680215Z ##[group]Determining the checkout info 2025-06-05T23:13:11.1681597Z ##[endgroup] 2025-06-05T23:13:11.1686097Z [command]/usr/bin/git sparse-checkout disable 2025-06-05T23:13:11.1716999Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-06-05T23:13:11.1739840Z ##[group]Checking out the ref 2025-06-05T23:13:11.1743578Z [command]/usr/bin/git checkout --progress --force -B main refs/remotes/origin/main 2025-06-05T23:13:11.2574536Z Switched to a new branch 'main' 2025-06-05T23:13:11.2575219Z branch 'main' set up to track 'origin/main'. 2025-06-05T23:13:11.2581546Z ##[endgroup] 2025-06-05T23:13:11.2582095Z ##[group]Setting up auth for fetching submodules 2025-06-05T23:13:11.2587241Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-06-05T23:13:11.2627940Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-06-05T23:13:11.2654615Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-06-05T23:13:11.2682272Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-06-05T23:13:11.2705294Z ##[endgroup] 2025-06-05T23:13:11.2705971Z ##[group]Fetching submodules 2025-06-05T23:13:11.2709071Z [command]/usr/bin/git submodule sync --recursive 2025-06-05T23:13:11.2966994Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --depth=1 --recursive 2025-06-05T23:13:11.3222696Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0 2025-06-05T23:13:11.3470213Z ##[endgroup] 2025-06-05T23:13:11.3470941Z ##[group]Persisting credentials for submodules 2025-06-05T23:13:11.3476283Z [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' || :" 2025-06-05T23:13:11.3726982Z [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" 2025-06-05T23:13:11.3981150Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:' 2025-06-05T23:13:11.4232138Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-06-05T23:13:11.4480662Z ##[endgroup] 2025-06-05T23:13:11.4513237Z [command]/usr/bin/git log -1 --format=%H 2025-06-05T23:13:11.4534569Z 714db9db22f90727b389d5ecb5a2dc16cd27d00c 2025-06-05T23:13:11.4712132Z Prepare all required actions 2025-06-05T23:13:11.4712680Z Getting action download info 2025-06-05T23:13:11.5567253Z Download action repository 'pytorch/test-infra@main' (SHA:714db9db22f90727b389d5ecb5a2dc16cd27d00c) 2025-06-05T23:13:12.9730576Z Getting action download info 2025-06-05T23:13:13.0805702Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-06-05T23:13:13.2294648Z ##[group]Run ./test-infra/.github/actions/setup-linux 2025-06-05T23:13:13.2295004Z env: 2025-06-05T23:13:13.2295243Z DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk 2025-06-05T23:13:13.2295595Z REPOSITORY: pytorch/executorch 2025-06-05T23:13:13.2295872Z PR_NUMBER: 2025-06-05T23:13:13.2299017Z 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}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./install_requirements.sh --use-pt-pinned-commit PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh # Setup executorch PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}" # Install requirements for export_llama PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh # Test llama2 PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}" 2025-06-05T23:13:13.2302178Z ##[endgroup] 2025-06-05T23:13:13.2386745Z ##[group]Run set -euo pipefail 2025-06-05T23:13:13.2387104Z set -euo pipefail 2025-06-05T23:13:13.2387390Z function get_ec2_metadata() { 2025-06-05T23:13:13.2387742Z  # Pulled from instance metadata endpoint for EC2 2025-06-05T23:13:13.2388389Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-06-05T23:13:13.2388931Z  category=$1 2025-06-05T23:13:13.2389802Z  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}" 2025-06-05T23:13:13.2390699Z } 2025-06-05T23:13:13.2391039Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-06-05T23:13:13.2391452Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-06-05T23:13:13.2391901Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-06-05T23:13:13.2392306Z echo "system info $(uname -a)" 2025-06-05T23:13:13.2398369Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-06-05T23:13:13.2398737Z env: 2025-06-05T23:13:13.2398979Z DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk 2025-06-05T23:13:13.2399331Z REPOSITORY: pytorch/executorch 2025-06-05T23:13:13.2399592Z PR_NUMBER: 2025-06-05T23:13:13.2402710Z SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") conda activate "${CONDA_ENV}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./install_requirements.sh --use-pt-pinned-commit PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh # Setup executorch PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}" # Install requirements for export_llama PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh # Test llama2 PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}" 2025-06-05T23:13:13.2405874Z ##[endgroup] 2025-06-05T23:13:13.2531173Z ami-id: ami-071226ecf16aa7d96 2025-06-05T23:13:13.2621487Z instance-id: i-011b798db4ef69415 2025-06-05T23:13:13.2710252Z instance-type: c5.2xlarge 2025-06-05T23:13:13.2720096Z system info Linux ip-10-0-46-184.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 2025-06-05T23:13:13.2757019Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-06-05T23:13:13.2757956Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-06-05T23:13:13.2763950Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-06-05T23:13:13.2764319Z env: 2025-06-05T23:13:13.2764564Z DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk 2025-06-05T23:13:13.2764939Z REPOSITORY: pytorch/executorch 2025-06-05T23:13:13.2765209Z PR_NUMBER: 2025-06-05T23:13:13.2768331Z 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}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./install_requirements.sh --use-pt-pinned-commit PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh # Setup executorch PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}" # Install requirements for export_llama PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh # Test llama2 PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}" 2025-06-05T23:13:13.2771532Z ##[endgroup] 2025-06-05T23:13:13.2846181Z ##[group]Run if systemctl is-active --quiet docker; then 2025-06-05T23:13:13.2846622Z if systemctl is-active --quiet docker; then 2025-06-05T23:13:13.2846981Z  echo "Docker daemon is running..."; 2025-06-05T23:13:13.2847309Z else 2025-06-05T23:13:13.2847634Z  echo "Starting docker deamon..." && sudo systemctl start docker; 2025-06-05T23:13:13.2848053Z fi 2025-06-05T23:13:13.2853815Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-06-05T23:13:13.2854186Z env: 2025-06-05T23:13:13.2854445Z DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk 2025-06-05T23:13:13.2854782Z REPOSITORY: pytorch/executorch 2025-06-05T23:13:13.2855055Z PR_NUMBER: 2025-06-05T23:13:13.2858157Z SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") conda activate "${CONDA_ENV}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./install_requirements.sh --use-pt-pinned-commit PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh # Setup executorch PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}" # Install requirements for export_llama PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh # Test llama2 PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}" 2025-06-05T23:13:13.2861534Z ##[endgroup] 2025-06-05T23:13:13.2934518Z Docker daemon is running... 2025-06-05T23:13:13.2963742Z ##[group]Run AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\") 2025-06-05T23:13:13.2964381Z AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\") 2025-06-05T23:13:13.2964895Z retry () { "$@" || (sleep 1 && "$@") || (sleep 2 && "$@") } 2025-06-05T23:13:13.2965500Z retry aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ 2025-06-05T23:13:13.2966210Z  --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" 2025-06-05T23:13:13.2973131Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-06-05T23:13:13.2973516Z env: 2025-06-05T23:13:13.2973757Z DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk 2025-06-05T23:13:13.2974106Z REPOSITORY: pytorch/executorch 2025-06-05T23:13:13.2974368Z PR_NUMBER: 2025-06-05T23:13:13.2977465Z 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}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./install_requirements.sh --use-pt-pinned-commit PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh # Setup executorch PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}" # Install requirements for export_llama PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh # Test llama2 PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}" 2025-06-05T23:13:13.2980655Z AWS_RETRY_MODE: standard 2025-06-05T23:13:13.2980912Z AWS_MAX_ATTEMPTS: 5 2025-06-05T23:13:13.2981143Z AWS_DEFAULT_REGION: us-east-1 2025-06-05T23:13:13.2981404Z ##[endgroup] 2025-06-05T23:13:14.3650392Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-06-05T23:13:14.3651011Z Configure a credential helper to remove this warning. See 2025-06-05T23:13:14.3651821Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-06-05T23:13:14.3652491Z 2025-06-05T23:13:14.3652630Z Login Succeeded 2025-06-05T23:13:14.3697440Z ##[group]Run env | grep '^GITHUB' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}" 2025-06-05T23:13:14.3698057Z env | grep '^GITHUB' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}" 2025-06-05T23:13:14.3698545Z env | grep '^CI' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}" 2025-06-05T23:13:14.3704549Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-06-05T23:13:14.3704904Z env: 2025-06-05T23:13:14.3705158Z DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk 2025-06-05T23:13:14.3705496Z REPOSITORY: pytorch/executorch 2025-06-05T23:13:14.3705775Z PR_NUMBER: 2025-06-05T23:13:14.3708893Z SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") conda activate "${CONDA_ENV}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./install_requirements.sh --use-pt-pinned-commit PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh # Setup executorch PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}" # Install requirements for export_llama PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh # Test llama2 PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}" 2025-06-05T23:13:14.3712384Z ##[endgroup] 2025-06-05T23:13:14.3804083Z ##[group]Run RUNNER_ARTIFACT_DIR="${RUNNER_TEMP}/artifacts" 2025-06-05T23:13:14.3804554Z RUNNER_ARTIFACT_DIR="${RUNNER_TEMP}/artifacts" 2025-06-05T23:13:14.3804940Z sudo rm -rf "${RUNNER_ARTIFACT_DIR}" 2025-06-05T23:13:14.3805271Z mkdir -p "${RUNNER_ARTIFACT_DIR}" 2025-06-05T23:13:14.3805708Z echo "RUNNER_ARTIFACT_DIR=${RUNNER_ARTIFACT_DIR}" >> "${GITHUB_ENV}" 2025-06-05T23:13:14.3806113Z  2025-06-05T23:13:14.3806406Z RUNNER_TEST_RESULTS_DIR="${RUNNER_TEMP}/test-results" 2025-06-05T23:13:14.3806818Z sudo rm -rf "${RUNNER_TEST_RESULTS_DIR}" 2025-06-05T23:13:14.3807179Z mkdir -p "${RUNNER_TEST_RESULTS_DIR}" 2025-06-05T23:13:14.3807644Z echo "RUNNER_TEST_RESULTS_DIR=${RUNNER_TEST_RESULTS_DIR}" >> "${GITHUB_ENV}" 2025-06-05T23:13:14.3808217Z  2025-06-05T23:13:14.3808456Z RUNNER_DOCS_DIR="${RUNNER_TEMP}/docs" 2025-06-05T23:13:14.3808782Z sudo rm -rf "${RUNNER_DOCS_DIR}" 2025-06-05T23:13:14.3809105Z mkdir -p "${RUNNER_DOCS_DIR}" 2025-06-05T23:13:14.3809489Z echo "RUNNER_DOCS_DIR=${RUNNER_DOCS_DIR}" >> "${GITHUB_ENV}" 2025-06-05T23:13:14.3814996Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-06-05T23:13:14.3815350Z env: 2025-06-05T23:13:14.3815602Z DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk 2025-06-05T23:13:14.3815950Z REPOSITORY: pytorch/executorch 2025-06-05T23:13:14.3816209Z PR_NUMBER: 2025-06-05T23:13:14.3819296Z 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}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./install_requirements.sh --use-pt-pinned-commit PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh # Setup executorch PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}" # Install requirements for export_llama PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh # Test llama2 PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}" 2025-06-05T23:13:14.3822453Z ##[endgroup] 2025-06-05T23:13:14.9784634Z ##[group]Run needs=0 2025-06-05T23:13:14.9785027Z needs=0 2025-06-05T23:13:14.9785488Z if lspci -v | grep -e 'controller.*NVIDIA' >/dev/null 2>/dev/null; then 2025-06-05T23:13:14.9786001Z  needs=1 2025-06-05T23:13:14.9786326Z fi 2025-06-05T23:13:14.9786617Z echo "does=${needs}" >> $GITHUB_OUTPUT 2025-06-05T23:13:14.9792942Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-06-05T23:13:14.9793371Z env: 2025-06-05T23:13:14.9793789Z DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk 2025-06-05T23:13:14.9794212Z REPOSITORY: pytorch/executorch 2025-06-05T23:13:14.9794583Z PR_NUMBER: 2025-06-05T23:13:14.9797784Z SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") conda activate "${CONDA_ENV}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./install_requirements.sh --use-pt-pinned-commit PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh # Setup executorch PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}" # Install requirements for export_llama PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh # Test llama2 PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}" 2025-06-05T23:13:14.9801377Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-06-05T23:13:14.9802063Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-06-05T23:13:14.9802667Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-06-05T23:13:14.9803160Z ##[endgroup] 2025-06-05T23:13:15.0073367Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-06-05T23:13:15.0073942Z # ignore expansion of "docker ps -q" since it could be empty 2025-06-05T23:13:15.0074358Z # shellcheck disable=SC2046 2025-06-05T23:13:15.0074667Z docker stop $(docker ps -q) || true 2025-06-05T23:13:15.0075018Z # Prune all of the docker images 2025-06-05T23:13:15.0075321Z docker system prune -af 2025-06-05T23:13:15.0080881Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-06-05T23:13:15.0081241Z env: 2025-06-05T23:13:15.0081650Z DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk 2025-06-05T23:13:15.0081999Z REPOSITORY: pytorch/executorch 2025-06-05T23:13:15.0082280Z PR_NUMBER: 2025-06-05T23:13:15.0085510Z SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") conda activate "${CONDA_ENV}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./install_requirements.sh --use-pt-pinned-commit PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh # Setup executorch PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}" # Install requirements for export_llama PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh # Test llama2 PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}" 2025-06-05T23:13:15.0088838Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-06-05T23:13:15.0089402Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-06-05T23:13:15.0089940Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-06-05T23:13:15.0090320Z ##[endgroup] 2025-06-05T23:13:15.0327304Z "docker stop" requires at least 1 argument. 2025-06-05T23:13:15.0328133Z See 'docker stop --help'. 2025-06-05T23:13:15.0328645Z 2025-06-05T23:13:15.0328980Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-06-05T23:13:15.0329265Z 2025-06-05T23:13:15.0329378Z Stop one or more running containers 2025-06-05T23:13:15.0629068Z Total reclaimed space: 0B 2025-06-05T23:13:15.0703648Z ##[group]Run ./test-infra/.github/actions/setup-ssh 2025-06-05T23:13:15.0704049Z with: 2025-06-05T23:13:15.0704744Z github-secret: *** 2025-06-05T23:13:15.0705414Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-06-05T23:13:15.0706300Z activate-with-label: false 2025-06-05T23:13:15.0706557Z label: with-ssh 2025-06-05T23:13:15.0706795Z remove-existing-keys: true 2025-06-05T23:13:15.0707053Z fail-silently: true 2025-06-05T23:13:15.0707284Z env: 2025-06-05T23:13:15.0707519Z DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk 2025-06-05T23:13:15.0707875Z REPOSITORY: pytorch/executorch 2025-06-05T23:13:15.0708155Z PR_NUMBER: 2025-06-05T23:13:15.0711368Z SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") conda activate "${CONDA_ENV}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./install_requirements.sh --use-pt-pinned-commit PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh # Setup executorch PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}" # Install requirements for export_llama PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh # Test llama2 PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}" 2025-06-05T23:13:15.0714877Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-06-05T23:13:15.0715462Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-06-05T23:13:15.0715989Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-06-05T23:13:15.0716378Z ##[endgroup] 2025-06-05T23:13:15.1786473Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-06-05T23:13:15.1787837Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-06-05T23:13:15.1907606Z ##[group]Run actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 2025-06-05T23:13:15.1908033Z with: 2025-06-05T23:13:15.1908253Z repository: pytorch/executorch 2025-06-05T23:13:15.1908552Z ref: bd572346e4f196b36aaa03a1645d12b1618fe88b 2025-06-05T23:13:15.1908877Z path: pytorch/executorch 2025-06-05T23:13:15.1909133Z fetch-depth: 1 2025-06-05T23:13:15.1909342Z submodules: recursive 2025-06-05T23:13:15.1909718Z token: *** 2025-06-05T23:13:15.1909912Z ssh-strict: true 2025-06-05T23:13:15.1910131Z ssh-user: git 2025-06-05T23:13:15.1910348Z persist-credentials: true 2025-06-05T23:13:15.1910608Z clean: true 2025-06-05T23:13:15.1910977Z sparse-checkout-cone-mode: true 2025-06-05T23:13:15.1911249Z fetch-tags: false 2025-06-05T23:13:15.1911480Z show-progress: true 2025-06-05T23:13:15.1911700Z lfs: false 2025-06-05T23:13:15.1911935Z set-safe-directory: true 2025-06-05T23:13:15.1912169Z env: 2025-06-05T23:13:15.1912459Z DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk 2025-06-05T23:13:15.1912796Z REPOSITORY: pytorch/executorch 2025-06-05T23:13:15.1913064Z PR_NUMBER: 2025-06-05T23:13:15.1916148Z 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}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./install_requirements.sh --use-pt-pinned-commit PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh # Setup executorch PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}" # Install requirements for export_llama PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh # Test llama2 PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}" 2025-06-05T23:13:15.1919443Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-06-05T23:13:15.1920005Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-06-05T23:13:15.1920546Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-06-05T23:13:15.1920912Z ##[endgroup] 2025-06-05T23:13:15.2880401Z Syncing repository: pytorch/executorch 2025-06-05T23:13:15.2888901Z ##[group]Getting Git version info 2025-06-05T23:13:15.2889467Z Working directory is '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch' 2025-06-05T23:13:15.2915442Z [command]/usr/bin/git version 2025-06-05T23:13:15.2952199Z git version 2.47.1 2025-06-05T23:13:15.2975713Z ##[endgroup] 2025-06-05T23:13:15.2987854Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/8778d3f2-bf7a-4c86-9a31-0995ce5f9cc9' before making global git config changes 2025-06-05T23:13:15.2988977Z Adding repository directory to the temporary git global config as a safe directory 2025-06-05T23:13:15.2993229Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch 2025-06-05T23:13:15.3019380Z ##[group]Initializing the repository 2025-06-05T23:13:15.3023926Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch 2025-06-05T23:13:15.3052305Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-06-05T23:13:15.3052983Z hint: is subject to change. To configure the initial branch name to use in all 2025-06-05T23:13:15.3053547Z hint: of your new repositories, which will suppress this warning, call: 2025-06-05T23:13:15.3053967Z hint: 2025-06-05T23:13:15.3054240Z hint: git config --global init.defaultBranch 2025-06-05T23:13:15.3054717Z hint: 2025-06-05T23:13:15.3055253Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-06-05T23:13:15.3055844Z hint: 'development'. The just-created branch can be renamed via this command: 2025-06-05T23:13:15.3056491Z hint: 2025-06-05T23:13:15.3056709Z hint: git branch -m 2025-06-05T23:13:15.3057353Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/ 2025-06-05T23:13:15.3062344Z [command]/usr/bin/git remote add origin https://github.com/pytorch/executorch 2025-06-05T23:13:15.3086762Z ##[endgroup] 2025-06-05T23:13:15.3087194Z ##[group]Disabling automatic garbage collection 2025-06-05T23:13:15.3090659Z [command]/usr/bin/git config --local gc.auto 0 2025-06-05T23:13:15.3114430Z ##[endgroup] 2025-06-05T23:13:15.3114802Z ##[group]Setting up auth 2025-06-05T23:13:15.3120249Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-06-05T23:13:15.3144190Z [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' || :" 2025-06-05T23:13:15.3396393Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-06-05T23:13:15.3421421Z [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' || :" 2025-06-05T23:13:15.3674716Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-06-05T23:13:15.3714925Z ##[endgroup] 2025-06-05T23:13:15.3715452Z ##[group]Fetching the repository 2025-06-05T23:13:15.3722693Z [command]/usr/bin/git -c protocol.version=2 fetch --no-tags --prune --no-recurse-submodules --depth=1 origin bd572346e4f196b36aaa03a1645d12b1618fe88b 2025-06-05T23:13:16.8498509Z From https://github.com/pytorch/executorch 2025-06-05T23:13:16.8499002Z * branch bd572346e4f196b36aaa03a1645d12b1618fe88b -> FETCH_HEAD 2025-06-05T23:13:16.8517311Z ##[endgroup] 2025-06-05T23:13:16.8518066Z ##[group]Determining the checkout info 2025-06-05T23:13:16.8520720Z ##[endgroup] 2025-06-05T23:13:16.8525569Z [command]/usr/bin/git sparse-checkout disable 2025-06-05T23:13:16.8566071Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-06-05T23:13:16.8589615Z ##[group]Checking out the ref 2025-06-05T23:13:16.8593833Z [command]/usr/bin/git checkout --progress --force bd572346e4f196b36aaa03a1645d12b1618fe88b 2025-06-05T23:13:17.3517717Z Note: switching to 'bd572346e4f196b36aaa03a1645d12b1618fe88b'. 2025-06-05T23:13:17.3518208Z 2025-06-05T23:13:17.3518598Z You are in 'detached HEAD' state. You can look around, make experimental 2025-06-05T23:13:17.3519623Z changes and commit them, and you can discard any commits you make in this 2025-06-05T23:13:17.3520647Z state without impacting any branches by switching back to a branch. 2025-06-05T23:13:17.3521250Z 2025-06-05T23:13:17.3521881Z If you want to create a new branch to retain commits you create, you may 2025-06-05T23:13:17.3522786Z do so (now or later) by using -c with the switch command. Example: 2025-06-05T23:13:17.3523280Z 2025-06-05T23:13:17.3523458Z git switch -c 2025-06-05T23:13:17.3523797Z 2025-06-05T23:13:17.3523965Z Or undo this operation with: 2025-06-05T23:13:17.3524231Z 2025-06-05T23:13:17.3524375Z git switch - 2025-06-05T23:13:17.3524593Z 2025-06-05T23:13:17.3524987Z Turn off this advice by setting config variable advice.detachedHead to false 2025-06-05T23:13:17.3525596Z 2025-06-05T23:13:17.3526015Z HEAD is now at bd57234 Qualcomm AI Engine Direct - QAIRT Visualizer Engagement (#10873) 2025-06-05T23:13:17.3545803Z ##[endgroup] 2025-06-05T23:13:17.3546232Z ##[group]Setting up auth for fetching submodules 2025-06-05T23:13:17.3551169Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-06-05T23:13:17.3588455Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-06-05T23:13:17.3612958Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-06-05T23:13:17.3637832Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-06-05T23:13:17.3658344Z ##[endgroup] 2025-06-05T23:13:17.3658852Z ##[group]Fetching submodules 2025-06-05T23:13:17.3661876Z [command]/usr/bin/git submodule sync --recursive 2025-06-05T23:13:17.3921592Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --depth=1 --recursive 2025-06-05T23:13:17.4170702Z 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' 2025-06-05T23:13:17.4174275Z 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' 2025-06-05T23:13:17.4176993Z Submodule 'backends/cadence/utils/FACTO' (https://github.com/pytorch-labs/FACTO.git) registered for path 'backends/cadence/utils/FACTO' 2025-06-05T23:13:17.4179665Z Submodule 'backends/vulkan/third-party/Vulkan-Headers' (https://github.com/KhronosGroup/Vulkan-Headers) registered for path 'backends/vulkan/third-party/Vulkan-Headers' 2025-06-05T23:13:17.4183053Z Submodule 'backends/vulkan/third-party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'backends/vulkan/third-party/VulkanMemoryAllocator' 2025-06-05T23:13:17.4186093Z Submodule 'backends/vulkan/third-party/volk' (https://github.com/zeux/volk) registered for path 'backends/vulkan/third-party/volk' 2025-06-05T23:13:17.4189587Z Submodule 'backends/xnnpack/third-party/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'backends/xnnpack/third-party/FP16' 2025-06-05T23:13:17.4194087Z Submodule 'backends/xnnpack/third-party/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'backends/xnnpack/third-party/FXdiv' 2025-06-05T23:13:17.4198216Z Submodule 'backends/xnnpack/third-party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'backends/xnnpack/third-party/XNNPACK' 2025-06-05T23:13:17.4202426Z Submodule 'backends/xnnpack/third-party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'backends/xnnpack/third-party/cpuinfo' 2025-06-05T23:13:17.4207031Z Submodule 'backends/xnnpack/third-party/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'backends/xnnpack/third-party/pthreadpool' 2025-06-05T23:13:17.4211181Z Submodule 'extension/llm/tokenizers' (https://github.com/pytorch-labs/tokenizers.git) registered for path 'extension/llm/tokenizers' 2025-06-05T23:13:17.4215730Z Submodule 'kernels/optimized/third-party/eigen' (https://gitlab.com/libeigen/eigen.git) registered for path 'kernels/optimized/third-party/eigen' 2025-06-05T23:13:17.4220066Z Submodule 'shim' (https://github.com/facebook/buck2-shims-meta) registered for path 'shim' 2025-06-05T23:13:17.4224482Z Submodule 'third-party/ao' (https://github.com/pytorch/ao.git) registered for path 'third-party/ao' 2025-06-05T23:13:17.4229999Z Submodule 'third-party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third-party/flatbuffers' 2025-06-05T23:13:17.4236289Z Submodule 'third-party/flatcc' (https://github.com/dvidelabs/flatcc.git) registered for path 'third-party/flatcc' 2025-06-05T23:13:17.4241024Z Submodule 'third-party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third-party/gflags' 2025-06-05T23:13:17.4246041Z Submodule 'third-party/googletest' (https://github.com/google/googletest.git) registered for path 'third-party/googletest' 2025-06-05T23:13:17.4250895Z Submodule 'third-party/ios-cmake' (https://github.com/leetal/ios-cmake) registered for path 'third-party/ios-cmake' 2025-06-05T23:13:17.4256062Z Submodule 'third-party/json' (https://github.com/nlohmann/json.git) registered for path 'third-party/json' 2025-06-05T23:13:17.4261625Z Submodule 'third-party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third-party/pocketfft' 2025-06-05T23:13:17.4266711Z Submodule 'third-party/prelude' (https://github.com/facebook/buck2-prelude.git) registered for path 'third-party/prelude' 2025-06-05T23:13:17.4272166Z Submodule 'third-party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third-party/pybind11' 2025-06-05T23:13:17.4300705Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/arm/third-party/ethos-u-core-driver'... 2025-06-05T23:13:18.2371706Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/arm/third-party/serialization_lib'... 2025-06-05T23:13:18.9400695Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/cadence/utils/FACTO'... 2025-06-05T23:13:19.1876181Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/vulkan/third-party/Vulkan-Headers'... 2025-06-05T23:13:19.5974251Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/vulkan/third-party/VulkanMemoryAllocator'... 2025-06-05T23:13:19.8626182Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/vulkan/third-party/volk'... 2025-06-05T23:13:20.1307011Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/xnnpack/third-party/FP16'... 2025-06-05T23:13:20.3432545Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/xnnpack/third-party/FXdiv'... 2025-06-05T23:13:20.5391605Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/xnnpack/third-party/XNNPACK'... 2025-06-05T23:13:21.2648031Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/xnnpack/third-party/cpuinfo'... 2025-06-05T23:13:21.6913796Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/xnnpack/third-party/pthreadpool'... 2025-06-05T23:13:21.9197779Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/extension/llm/tokenizers'... 2025-06-05T23:13:22.3348658Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/kernels/optimized/third-party/eigen'... 2025-06-05T23:13:23.1404828Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/shim'... 2025-06-05T23:13:23.4200127Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/ao'... 2025-06-05T23:13:23.8143928Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/flatbuffers'... 2025-06-05T23:13:24.1609173Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/flatcc'... 2025-06-05T23:13:24.4455974Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/gflags'... 2025-06-05T23:13:24.7266713Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/googletest'... 2025-06-05T23:13:25.0698967Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/ios-cmake'... 2025-06-05T23:13:25.2902128Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/json'... 2025-06-05T23:13:25.7269597Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/pocketfft'... 2025-06-05T23:13:25.9640338Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/prelude'... 2025-06-05T23:13:26.3569379Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/pybind11'... 2025-06-05T23:13:27.9176968Z From https://git.gitlab.arm.com/artificial-intelligence/ethos-u/ethos-u-core-driver 2025-06-05T23:13:27.9177639Z * branch 7bf44c54527e718b99d588ce520cf2f96343adb1 -> FETCH_HEAD 2025-06-05T23:13:27.9284862Z Submodule path 'backends/arm/third-party/ethos-u-core-driver': checked out '7bf44c54527e718b99d588ce520cf2f96343adb1' 2025-06-05T23:13:29.2718808Z From https://git.gitlab.arm.com/tosa/tosa-serialization 2025-06-05T23:13:29.2719380Z * branch 187af0d41fe75d08d2a7ec84c1b4d24b9b641ed2 -> FETCH_HEAD 2025-06-05T23:13:29.2824939Z Submodule path 'backends/arm/third-party/serialization_lib': checked out '187af0d41fe75d08d2a7ec84c1b4d24b9b641ed2' 2025-06-05T23:13:29.2839928Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'backends/arm/third-party/serialization_lib/third_party/flatbuffers' 2025-06-05T23:13:29.2864993Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers'... 2025-06-05T23:13:31.5232385Z From https://github.com/google/flatbuffers 2025-06-05T23:13:31.5232878Z * branch 0100f6a5779831fa7a651e4b67ef389a8752bd9b -> FETCH_HEAD 2025-06-05T23:13:31.6253927Z Submodule path 'backends/arm/third-party/serialization_lib/third_party/flatbuffers': checked out '0100f6a5779831fa7a651e4b67ef389a8752bd9b' 2025-06-05T23:13:32.3096251Z From https://github.com/pytorch-labs/FACTO 2025-06-05T23:13:32.3096790Z * branch 1db37fc79d0d59638cbb794fa49d878aafc24461 -> FETCH_HEAD 2025-06-05T23:13:32.3170525Z Submodule path 'backends/cadence/utils/FACTO': checked out '1db37fc79d0d59638cbb794fa49d878aafc24461' 2025-06-05T23:13:33.1044104Z From https://github.com/KhronosGroup/Vulkan-Headers 2025-06-05T23:13:33.1044612Z * branch 0c5928795a66e93f65e5e68a36d8daa79a209dc2 -> FETCH_HEAD 2025-06-05T23:13:33.1537873Z Submodule path 'backends/vulkan/third-party/Vulkan-Headers': checked out '0c5928795a66e93f65e5e68a36d8daa79a209dc2' 2025-06-05T23:13:33.9079891Z From https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator 2025-06-05T23:13:33.9080506Z * branch a6bfc237255a6bac1513f7c1ebde6d8aed6b5191 -> FETCH_HEAD 2025-06-05T23:13:33.9392215Z Submodule path 'backends/vulkan/third-party/VulkanMemoryAllocator': checked out 'a6bfc237255a6bac1513f7c1ebde6d8aed6b5191' 2025-06-05T23:13:34.4843184Z From https://github.com/zeux/volk 2025-06-05T23:13:34.4843909Z * branch b3bc21e584f97400b6884cb2a541a56c6a5ddba3 -> FETCH_HEAD 2025-06-05T23:13:34.4914324Z Submodule path 'backends/vulkan/third-party/volk': checked out 'b3bc21e584f97400b6884cb2a541a56c6a5ddba3' 2025-06-05T23:13:34.9389862Z From https://github.com/Maratyszcza/FP16 2025-06-05T23:13:34.9390432Z * branch 4dfe081cf6bcd15db339cf2680b9281b8451eeb3 -> FETCH_HEAD 2025-06-05T23:13:34.9473319Z Submodule path 'backends/xnnpack/third-party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-06-05T23:13:35.3545926Z From https://github.com/Maratyszcza/FXdiv 2025-06-05T23:13:35.3546435Z * branch b408327ac2a15ec3e43352421954f5b1967701d1 -> FETCH_HEAD 2025-06-05T23:13:35.3601899Z Submodule path 'backends/xnnpack/third-party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-06-05T23:13:36.9274451Z From https://github.com/google/XNNPACK 2025-06-05T23:13:36.9275358Z * branch 4ea82e595b36106653175dcb04b2aa532660d0d8 -> FETCH_HEAD 2025-06-05T23:13:37.5146432Z Submodule path 'backends/xnnpack/third-party/XNNPACK': checked out '4ea82e595b36106653175dcb04b2aa532660d0d8' 2025-06-05T23:13:38.1032916Z From https://github.com/pytorch/cpuinfo 2025-06-05T23:13:38.1033409Z * branch c61fe919607bbc534d7a5a5707bdd7041e72c5ff -> FETCH_HEAD 2025-06-05T23:13:38.2060534Z Submodule path 'backends/xnnpack/third-party/cpuinfo': checked out 'c61fe919607bbc534d7a5a5707bdd7041e72c5ff' 2025-06-05T23:13:38.7197432Z From https://github.com/Maratyszcza/pthreadpool 2025-06-05T23:13:38.7198740Z * branch 4fe0e1e183925bf8cfa6aae24237e724a96479b8 -> FETCH_HEAD 2025-06-05T23:13:38.7276868Z Submodule path 'backends/xnnpack/third-party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8' 2025-06-05T23:13:39.1670320Z From https://github.com/pytorch-labs/tokenizers 2025-06-05T23:13:39.1670886Z * branch fc5962cd9e08019c5df6667eba3377e7d76441f7 -> FETCH_HEAD 2025-06-05T23:13:39.1913450Z Submodule path 'extension/llm/tokenizers': checked out 'fc5962cd9e08019c5df6667eba3377e7d76441f7' 2025-06-05T23:13:39.1929050Z Submodule 'third-party/abseil-cpp' (https://github.com/abseil/abseil-cpp.git) registered for path 'extension/llm/tokenizers/third-party/abseil-cpp' 2025-06-05T23:13:39.1931381Z Submodule 'third-party/json' (https://github.com/nlohmann/json.git) registered for path 'extension/llm/tokenizers/third-party/json' 2025-06-05T23:13:39.1934121Z Submodule 'third-party/pcre2' (https://github.com/PCRE2Project/pcre2.git) registered for path 'extension/llm/tokenizers/third-party/pcre2' 2025-06-05T23:13:39.1936557Z Submodule 'third-party/re2' (https://github.com/google/re2.git) registered for path 'extension/llm/tokenizers/third-party/re2' 2025-06-05T23:13:39.1939254Z Submodule 'third-party/sentencepiece' (https://github.com/google/sentencepiece.git) registered for path 'extension/llm/tokenizers/third-party/sentencepiece' 2025-06-05T23:13:39.1964489Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/extension/llm/tokenizers/third-party/abseil-cpp'... 2025-06-05T23:13:39.5194829Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/extension/llm/tokenizers/third-party/json'... 2025-06-05T23:13:39.8712472Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/extension/llm/tokenizers/third-party/pcre2'... 2025-06-05T23:13:40.2233166Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/extension/llm/tokenizers/third-party/re2'... 2025-06-05T23:13:40.5256368Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/extension/llm/tokenizers/third-party/sentencepiece'... 2025-06-05T23:13:41.8127399Z From https://github.com/abseil/abseil-cpp 2025-06-05T23:13:41.8127877Z * branch 7d96b2e93d9a84530748b68abd2f97595c51ecf4 -> FETCH_HEAD 2025-06-05T23:13:41.9080848Z Submodule path 'extension/llm/tokenizers/third-party/abseil-cpp': checked out '7d96b2e93d9a84530748b68abd2f97595c51ecf4' 2025-06-05T23:13:42.5933920Z From https://github.com/nlohmann/json 2025-06-05T23:13:42.5934415Z * branch e6cafa573aac6ed9227f752a5371c0b3f436307d -> FETCH_HEAD 2025-06-05T23:13:42.6859394Z Submodule path 'extension/llm/tokenizers/third-party/json': checked out 'e6cafa573aac6ed9227f752a5371c0b3f436307d' 2025-06-05T23:13:43.2715148Z From https://github.com/PCRE2Project/pcre2 2025-06-05T23:13:43.2715660Z * branch 2e03e323339ab692640626f02f8d8d6f95bff9c6 -> FETCH_HEAD 2025-06-05T23:13:43.3432180Z Submodule path 'extension/llm/tokenizers/third-party/pcre2': checked out '2e03e323339ab692640626f02f8d8d6f95bff9c6' 2025-06-05T23:13:43.3448497Z Submodule 'deps/sljit' (https://github.com/zherczeg/sljit.git) registered for path 'extension/llm/tokenizers/third-party/pcre2/deps/sljit' 2025-06-05T23:13:43.3475466Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/extension/llm/tokenizers/third-party/pcre2/deps/sljit'... 2025-06-05T23:13:44.2310812Z From https://github.com/zherczeg/sljit 2025-06-05T23:13:44.2311382Z * branch 98802d939be3f0ccc2c538d611ec4c728564e8cf -> FETCH_HEAD 2025-06-05T23:13:44.2498093Z Submodule path 'extension/llm/tokenizers/third-party/pcre2/deps/sljit': checked out '98802d939be3f0ccc2c538d611ec4c728564e8cf' 2025-06-05T23:13:44.7874313Z From https://github.com/google/re2 2025-06-05T23:13:44.7876057Z * branch 6dcd83d60f7944926bfd308cc13979fc53dd69ca -> FETCH_HEAD 2025-06-05T23:13:44.8036518Z Submodule path 'extension/llm/tokenizers/third-party/re2': checked out '6dcd83d60f7944926bfd308cc13979fc53dd69ca' 2025-06-05T23:13:45.4335374Z From https://github.com/google/sentencepiece 2025-06-05T23:13:45.4335857Z * branch d8f741853847553169444afc12c00f4bbff3e9ce -> FETCH_HEAD 2025-06-05T23:13:45.5627981Z Submodule path 'extension/llm/tokenizers/third-party/sentencepiece': checked out 'd8f741853847553169444afc12c00f4bbff3e9ce' 2025-06-05T23:13:48.2505164Z From https://gitlab.com/libeigen/eigen 2025-06-05T23:13:48.2505991Z * branch a39ade4ccf99df845ec85c580fbbb324f71952fa -> FETCH_HEAD 2025-06-05T23:13:48.3730616Z Submodule path 'kernels/optimized/third-party/eigen': checked out 'a39ade4ccf99df845ec85c580fbbb324f71952fa' 2025-06-05T23:13:48.9957624Z From https://github.com/facebook/buck2-shims-meta 2025-06-05T23:13:48.9958133Z * branch cf6a954aae4bee7b4515e13475878460115027d1 -> FETCH_HEAD 2025-06-05T23:13:49.0158823Z Submodule path 'shim': checked out 'cf6a954aae4bee7b4515e13475878460115027d1' 2025-06-05T23:13:49.6093369Z From https://github.com/pytorch/ao 2025-06-05T23:13:49.6093887Z * branch bc68b11f1bf77be38721ca7dd2c477aeb5e6626e -> FETCH_HEAD 2025-06-05T23:13:49.7019312Z Submodule path 'third-party/ao': checked out 'bc68b11f1bf77be38721ca7dd2c477aeb5e6626e' 2025-06-05T23:13:49.7037149Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass) registered for path 'third-party/ao/third_party/cutlass' 2025-06-05T23:13:49.7062518Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/ao/third_party/cutlass'... 2025-06-05T23:13:51.5667698Z From https://github.com/NVIDIA/cutlass 2025-06-05T23:13:51.5668240Z * branch ad7b2f5e84fcfa124cb02b91d5bd26d238c0459e -> FETCH_HEAD 2025-06-05T23:13:52.1186869Z Submodule path 'third-party/ao/third_party/cutlass': checked out 'ad7b2f5e84fcfa124cb02b91d5bd26d238c0459e' 2025-06-05T23:13:52.8145644Z From https://github.com/google/flatbuffers 2025-06-05T23:13:52.8146170Z * branch 595bf0007ab1929570c7671f091313c8fc20644e -> FETCH_HEAD 2025-06-05T23:13:52.9160158Z Submodule path 'third-party/flatbuffers': checked out '595bf0007ab1929570c7671f091313c8fc20644e' 2025-06-05T23:13:53.4910416Z From https://github.com/dvidelabs/flatcc 2025-06-05T23:13:53.4910995Z * branch 896db54787e8b730a6be482c69324751f3f5f117 -> FETCH_HEAD 2025-06-05T23:13:53.5194565Z Submodule path 'third-party/flatcc': checked out '896db54787e8b730a6be482c69324751f3f5f117' 2025-06-05T23:13:54.0173429Z From https://github.com/gflags/gflags 2025-06-05T23:13:54.0173955Z * branch a738fdf9338412f83ab3f26f31ac11ed3f3ec4bd -> FETCH_HEAD 2025-06-05T23:13:54.0255695Z Submodule path 'third-party/gflags': checked out 'a738fdf9338412f83ab3f26f31ac11ed3f3ec4bd' 2025-06-05T23:13:54.7136283Z From https://github.com/google/googletest 2025-06-05T23:13:54.7136810Z * branch e2239ee6043f73722e7aa812a459f54a28552929 -> FETCH_HEAD 2025-06-05T23:13:54.7480107Z Submodule path 'third-party/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2025-06-05T23:13:55.2511160Z From https://github.com/leetal/ios-cmake 2025-06-05T23:13:55.2511743Z * branch 06465b27698424cf4a04a5ca4904d50a3c966c45 -> FETCH_HEAD 2025-06-05T23:13:55.2580492Z Submodule path 'third-party/ios-cmake': checked out '06465b27698424cf4a04a5ca4904d50a3c966c45' 2025-06-05T23:13:55.7861486Z From https://github.com/nlohmann/json 2025-06-05T23:13:55.7861961Z * branch ac0133ea89a8fd730a9cc9649c5226a9995dc3e1 -> FETCH_HEAD 2025-06-05T23:13:55.8764485Z Submodule path 'third-party/json': checked out 'ac0133ea89a8fd730a9cc9649c5226a9995dc3e1' 2025-06-05T23:13:55.8916503Z Submodule path 'third-party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa' 2025-06-05T23:13:56.5972979Z From https://github.com/facebook/buck2-prelude 2025-06-05T23:13:56.5973541Z * branch 48c249f8c7b99ff501d6e857754760315072b306 -> FETCH_HEAD 2025-06-05T23:13:56.7335332Z Submodule path 'third-party/prelude': checked out '48c249f8c7b99ff501d6e857754760315072b306' 2025-06-05T23:13:57.4353235Z From https://github.com/pybind/pybind11 2025-06-05T23:13:57.4353757Z * branch a2e59f0e7065404b44dfe92a28aca47ba1378dc4 -> FETCH_HEAD 2025-06-05T23:13:57.4633328Z Submodule path 'third-party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-06-05T23:13:57.4666461Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0 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2025-06-05T23:13:57.5404580Z Entering 'extension/llm/tokenizers' 2025-06-05T23:13:57.5441456Z Entering 'extension/llm/tokenizers/third-party/abseil-cpp' 2025-06-05T23:13:57.5481705Z Entering 'extension/llm/tokenizers/third-party/json' 2025-06-05T23:13:57.5521537Z Entering 'extension/llm/tokenizers/third-party/pcre2' 2025-06-05T23:13:57.5560386Z Entering 'extension/llm/tokenizers/third-party/pcre2/deps/sljit' 2025-06-05T23:13:57.5600567Z Entering 'extension/llm/tokenizers/third-party/re2' 2025-06-05T23:13:57.5638714Z Entering 'extension/llm/tokenizers/third-party/sentencepiece' 2025-06-05T23:13:57.5680051Z Entering 'kernels/optimized/third-party/eigen' 2025-06-05T23:13:57.5720513Z Entering 'shim' 2025-06-05T23:13:57.5758971Z Entering 'third-party/ao' 2025-06-05T23:13:57.5797761Z Entering 'third-party/ao/third_party/cutlass' 2025-06-05T23:13:57.5846215Z Entering 'third-party/flatbuffers' 2025-06-05T23:13:57.5886861Z Entering 'third-party/flatcc' 2025-06-05T23:13:57.5924843Z Entering 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'extension/llm/tokenizers/third-party/abseil-cpp' 2025-06-05T23:13:58.3257465Z Entering 'extension/llm/tokenizers/third-party/json' 2025-06-05T23:13:58.3299609Z Entering 'extension/llm/tokenizers/third-party/pcre2' 2025-06-05T23:13:58.3338728Z Entering 'extension/llm/tokenizers/third-party/pcre2/deps/sljit' 2025-06-05T23:13:58.3381467Z Entering 'extension/llm/tokenizers/third-party/re2' 2025-06-05T23:13:58.3420608Z Entering 'extension/llm/tokenizers/third-party/sentencepiece' 2025-06-05T23:13:58.3461041Z Entering 'kernels/optimized/third-party/eigen' 2025-06-05T23:13:58.3502877Z Entering 'shim' 2025-06-05T23:13:58.3542325Z Entering 'third-party/ao' 2025-06-05T23:13:58.3582710Z Entering 'third-party/ao/third_party/cutlass' 2025-06-05T23:13:58.3632619Z Entering 'third-party/flatbuffers' 2025-06-05T23:13:58.3675619Z Entering 'third-party/flatcc' 2025-06-05T23:13:58.3715424Z Entering 'third-party/gflags' 2025-06-05T23:13:58.3754517Z Entering 'third-party/googletest' 2025-06-05T23:13:58.3794021Z Entering 'third-party/ios-cmake' 2025-06-05T23:13:58.3832741Z Entering 'third-party/json' 2025-06-05T23:13:58.3872058Z Entering 'third-party/pocketfft' 2025-06-05T23:13:58.3911238Z Entering 'third-party/prelude' 2025-06-05T23:13:58.3952343Z Entering 'third-party/pybind11' 2025-06-05T23:13:58.4001715Z ##[endgroup] 2025-06-05T23:13:58.4034247Z [command]/usr/bin/git log -1 --format=%H 2025-06-05T23:13:58.4053372Z bd572346e4f196b36aaa03a1645d12b1618fe88b 2025-06-05T23:13:58.4264720Z Prepare all required actions 2025-06-05T23:13:58.4265395Z Getting action download info 2025-06-05T23:13:58.5245592Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-06-05T23:13:58.7422237Z ##[group]Run ./test-infra/.github/actions/calculate-docker-image 2025-06-05T23:13:58.7422637Z with: 2025-06-05T23:13:58.7422892Z docker-image-name: executorch-ubuntu-22.04-qnn-sdk 2025-06-05T23:13:58.7423264Z docker-build-dir: .ci/docker 2025-06-05T23:13:58.7423544Z working-directory: pytorch/executorch 2025-06-05T23:13:58.7423867Z docker-build-script: ./build.sh 2025-06-05T23:13:58.7424234Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-06-05T23:13:58.7424623Z force-push: false 2025-06-05T23:13:58.7424827Z env: 2025-06-05T23:13:58.7425068Z DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk 2025-06-05T23:13:58.7425411Z REPOSITORY: pytorch/executorch 2025-06-05T23:13:58.7425669Z PR_NUMBER: 2025-06-05T23:13:58.7428833Z 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 "${CONDA_ENV}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./install_requirements.sh --use-pt-pinned-commit PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh # Setup executorch PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}" # Install requirements for export_llama PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh # Test llama2 PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}" 2025-06-05T23:13:58.7432252Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-06-05T23:13:58.7432816Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-06-05T23:13:58.7433351Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-06-05T23:13:58.7433719Z ##[endgroup] 2025-06-05T23:13:58.7462195Z ##[group]Run set -ex 2025-06-05T23:13:58.7462510Z set -ex 2025-06-05T23:13:58.7462714Z  2025-06-05T23:13:58.7463100Z # If the docker build directory or the build script doesn't exist, the action will 2025-06-05T23:13:58.7463753Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-06-05T23:13:58.7464295Z # job could then download the pre-built image as usual 2025-06-05T23:13:58.7464842Z if [[ ! -d "${DOCKER_BUILD_DIR}" ]] || [[ ! -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]]; then 2025-06-05T23:13:58.7465331Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-06-05T23:13:58.7465775Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-06-05T23:13:58.7466175Z  2025-06-05T23:13:58.7466515Z  echo "There is no Docker build script in ${REPO_NAME} repo, skipping..." 2025-06-05T23:13:58.7466956Z  exit 0 2025-06-05T23:13:58.7467157Z else 2025-06-05T23:13:58.7467404Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-06-05T23:13:58.7467705Z fi 2025-06-05T23:13:58.7467903Z  2025-06-05T23:13:58.7468218Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-06-05T23:13:58.7468803Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-06-05T23:13:58.7469317Z  # use it as it is, but first let's extract the tag 2025-06-05T23:13:58.7469771Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-06-05T23:13:58.7470262Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-06-05T23:13:58.7470817Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-06-05T23:13:58.7471392Z else 2025-06-05T23:13:58.7471647Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-06-05T23:13:58.7472103Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-06-05T23:13:58.7472482Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-06-05T23:13:58.7473012Z  fi 2025-06-05T23:13:58.7473450Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-06-05T23:13:58.7474034Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-06-05T23:13:58.7474662Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-06-05T23:13:58.7475351Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-06-05T23:13:58.7475755Z fi 2025-06-05T23:13:58.7481506Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-06-05T23:13:58.7481865Z env: 2025-06-05T23:13:58.7482128Z DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk 2025-06-05T23:13:58.7482470Z REPOSITORY: pytorch/executorch 2025-06-05T23:13:58.7482751Z PR_NUMBER: 2025-06-05T23:13:58.7485834Z SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") conda activate "${CONDA_ENV}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./install_requirements.sh --use-pt-pinned-commit PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh # Setup executorch PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}" # Install requirements for export_llama PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh # Test llama2 PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}" 2025-06-05T23:13:58.7489133Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-06-05T23:13:58.7489699Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-06-05T23:13:58.7490238Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-06-05T23:13:58.7490623Z REPO_NAME: executorch 2025-06-05T23:13:58.7490913Z DOCKER_IMAGE_NAME: executorch-ubuntu-22.04-qnn-sdk 2025-06-05T23:13:58.7491268Z DOCKER_BUILD_DIR: .ci/docker 2025-06-05T23:13:58.7491535Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-06-05T23:13:58.7491904Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-06-05T23:13:58.7492275Z CUSTOM_TAG_PREFIX: 2025-06-05T23:13:58.7492508Z ##[endgroup] 2025-06-05T23:13:58.7518052Z + [[ ! -d .ci/docker ]] 2025-06-05T23:13:58.7518328Z + [[ ! -f .ci/docker/./build.sh ]] 2025-06-05T23:13:58.7518609Z + echo skip=false 2025-06-05T23:13:58.7519257Z + [[ executorch-ubuntu-22.04-qnn-sdk == *\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* ]] 2025-06-05T23:13:58.7519838Z + [[ executorch-ubuntu-22.04-qnn-sdk == *:* ]] 2025-06-05T23:13:58.7522583Z ++ git rev-parse HEAD:.ci/docker 2025-06-05T23:13:58.7537752Z + DOCKER_TAG=6019efcb31bb9f8cd1203f7a1f1de7a1a0e0ecaa 2025-06-05T23:13:58.7538248Z + echo docker-tag=6019efcb31bb9f8cd1203f7a1f1de7a1a0e0ecaa 2025-06-05T23:13:58.7539082Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-qnn-sdk:6019efcb31bb9f8cd1203f7a1f1de7a1a0e0ecaa 2025-06-05T23:13:58.7540291Z + echo custom-tag-prefix= 2025-06-05T23:13:58.7576927Z ##[group]Run set +e 2025-06-05T23:13:58.7577264Z set +e 2025-06-05T23:13:58.7577490Z set -x 2025-06-05T23:13:58.7577689Z  2025-06-05T23:13:58.7577892Z login() { 2025-06-05T23:13:58.7578350Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-06-05T23:13:58.7578863Z } 2025-06-05T23:13:58.7579201Z  2025-06-05T23:13:58.7579403Z retry () { 2025-06-05T23:13:58.7579763Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-06-05T23:13:58.7580061Z } 2025-06-05T23:13:58.7580260Z  2025-06-05T23:13:58.7580477Z retry login "${DOCKER_REGISTRY}" 2025-06-05T23:13:58.7580776Z  2025-06-05T23:13:58.7580974Z START_TIME=$(date +%s) 2025-06-05T23:13:58.7581258Z # Wait up to 120 minutes 2025-06-05T23:13:58.7581600Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-06-05T23:13:58.7582081Z  # Check if image already exists, if it does then skip building it 2025-06-05T23:13:58.7582562Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-06-05T23:13:58.7582903Z  exit 0 2025-06-05T23:13:58.7583125Z  fi 2025-06-05T23:13:58.7583315Z  2025-06-05T23:13:58.7583691Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-06-05T23:13:58.7584324Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-06-05T23:13:58.7584978Z  # latter, it will wait for the Docker images to become available before continuing 2025-06-05T23:13:58.7585487Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-06-05T23:13:58.7585863Z  # It's a Docker build job, let's build the image 2025-06-05T23:13:58.7586203Z  break 2025-06-05T23:13:58.7586417Z  else 2025-06-05T23:13:58.7586741Z  # It's a regular build job, wait for the image to become available 2025-06-05T23:13:58.7587128Z  sleep 300 2025-06-05T23:13:58.7587362Z  fi 2025-06-05T23:13:58.7587572Z done 2025-06-05T23:13:58.7587762Z  2025-06-05T23:13:58.7588097Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-06-05T23:13:58.7588640Z # be empty. The default action would be to continue rebuild the image 2025-06-05T23:13:58.7589136Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-06-05T23:13:58.7589565Z  # if we're on the base branch then use the parent commit 2025-06-05T23:13:58.7589949Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-06-05T23:13:58.7590250Z else 2025-06-05T23:13:58.7590549Z  # otherwise we're on a PR, so use the most recent base commit 2025-06-05T23:13:58.7591100Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-06-05T23:13:58.7591434Z fi 2025-06-05T23:13:58.7591639Z  2025-06-05T23:13:58.7591847Z if [[ -z "${MERGE_BASE}" ]]; then 2025-06-05T23:13:58.7592197Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-06-05T23:13:58.7592508Z  2025-06-05T23:13:58.7592959Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-06-05T23:13:58.7593554Z  exit 0 2025-06-05T23:13:58.7593805Z fi 2025-06-05T23:13:58.7594011Z  2025-06-05T23:13:58.7594302Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-06-05T23:13:58.7594974Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-06-05T23:13:58.7595589Z  exit 1 2025-06-05T23:13:58.7595807Z fi 2025-06-05T23:13:58.7595992Z  2025-06-05T23:13:58.7596340Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-06-05T23:13:58.7596967Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-06-05T23:13:58.7597543Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-06-05T23:13:58.7598209Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-06-05T23:13:58.7599047Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-06-05T23:13:58.7599567Z fi 2025-06-05T23:13:58.7599758Z  2025-06-05T23:13:58.7600009Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-06-05T23:13:58.7605764Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-06-05T23:13:58.7606147Z env: 2025-06-05T23:13:58.7606783Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-qnn-sdk:6019efcb31bb9f8cd1203f7a1f1de7a1a0e0ecaa 2025-06-05T23:13:58.7607545Z REPOSITORY: pytorch/executorch 2025-06-05T23:13:58.7607828Z PR_NUMBER: 2025-06-05T23:13:58.7610943Z SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") conda activate "${CONDA_ENV}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./install_requirements.sh --use-pt-pinned-commit PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh # Setup executorch PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}" # Install requirements for export_llama PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh # Test llama2 PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}" 2025-06-05T23:13:58.7614249Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-06-05T23:13:58.7614831Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-06-05T23:13:58.7615376Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-06-05T23:13:58.7615763Z DOCKER_BUILD_DIR: .ci/docker 2025-06-05T23:13:58.7616101Z BASE_REVISION: bd572346e4f196b36aaa03a1645d12b1618fe88b 2025-06-05T23:13:58.7616504Z DOCKER_TAG: 6019efcb31bb9f8cd1203f7a1f1de7a1a0e0ecaa 2025-06-05T23:13:58.7616949Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-06-05T23:13:58.7617326Z DOCKER_PUSH: 2025-06-05T23:13:58.7617550Z ##[endgroup] 2025-06-05T23:13:58.7640713Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-06-05T23:13:58.7641133Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-06-05T23:13:58.7643271Z + aws ecr get-login-password --region us-east-1 2025-06-05T23:13:58.7644585Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-06-05T23:13:59.3221460Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-06-05T23:13:59.3222064Z Configure a credential helper to remove this warning. See 2025-06-05T23:13:59.3222644Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-06-05T23:13:59.3223107Z 2025-06-05T23:13:59.3223308Z Login Succeeded 2025-06-05T23:13:59.3237036Z ++ date +%s 2025-06-05T23:13:59.3245379Z + START_TIME=1749165239 2025-06-05T23:13:59.3248688Z ++ date +%s 2025-06-05T23:13:59.3256801Z + [[ 1749158039 -lt 1749165239 ]] 2025-06-05T23:13:59.3257642Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-qnn-sdk:6019efcb31bb9f8cd1203f7a1f1de7a1a0e0ecaa 2025-06-05T23:13:59.5423832Z { 2025-06-05T23:13:59.5424224Z "schemaVersion": 2, 2025-06-05T23:13:59.5424842Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-06-05T23:13:59.5425341Z "config": { 2025-06-05T23:13:59.5425673Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-06-05T23:13:59.5426056Z "size": 15106, 2025-06-05T23:13:59.5426458Z "digest": "sha256:1db6031c5a19f41579dd393b449a8fa85c2e949e96f78b1202be29e201459087" 2025-06-05T23:13:59.5426922Z }, 2025-06-05T23:13:59.5427098Z "layers": [ 2025-06-05T23:13:59.5427298Z { 2025-06-05T23:13:59.5427601Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-06-05T23:13:59.5428260Z "size": 30438509, 2025-06-05T23:13:59.5428667Z "digest": "sha256:f557aa5ee22480ee9e1af0a094ce5174a8c3d83e1aa20dc8482e4e387546e0c3" 2025-06-05T23:13:59.5429250Z }, 2025-06-05T23:13:59.5429419Z { 2025-06-05T23:13:59.5429733Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-06-05T23:13:59.5430122Z "size": 631, 2025-06-05T23:13:59.5430517Z "digest": "sha256:53b460f20fa277f78e0346f07eca1d411d0d3c597c8d64ff88be2593c3ff02da" 2025-06-05T23:13:59.5431048Z }, 2025-06-05T23:13:59.5431217Z { 2025-06-05T23:13:59.5431528Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-06-05T23:13:59.5431919Z "size": 150105280, 2025-06-05T23:13:59.5432340Z "digest": 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"sha256:e269d1739d753c3be22ebc4dc91645e7481b4466e9671d84fe85f222e0af9f8b" 2025-06-05T23:13:59.5492583Z } 2025-06-05T23:13:59.5492767Z ] 2025-06-05T23:13:59.5492938Z } 2025-06-05T23:13:59.5544113Z ##[group]Run set -eux 2025-06-05T23:13:59.5544393Z set -eux 2025-06-05T23:13:59.5545252Z 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 2025-06-05T23:13:59.5551726Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-06-05T23:13:59.5552100Z env: 2025-06-05T23:13:59.5552341Z DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk 2025-06-05T23:13:59.5552802Z REPOSITORY: pytorch/executorch 2025-06-05T23:13:59.5553065Z PR_NUMBER: 2025-06-05T23:13:59.5556245Z 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}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./install_requirements.sh --use-pt-pinned-commit PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh # Setup executorch PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}" # Install requirements for export_llama PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh # Test llama2 PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}" 2025-06-05T23:13:59.5559551Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-06-05T23:13:59.5560128Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-06-05T23:13:59.5560659Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-06-05T23:13:59.5561038Z ##[endgroup] 2025-06-05T23:13:59.5588018Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-06-05T23:13:59.5588796Z + jq --raw-output .SecretString 2025-06-05T23:13:59.5589251Z + jq -r .docker_hub_readonly_token 2025-06-05T23:13:59.5591361Z + docker login --username pytorchbot --password-stdin 2025-06-05T23:14:00.1574324Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-06-05T23:14:00.1574938Z Configure a credential helper to remove this warning. See 2025-06-05T23:14:00.1575602Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-06-05T23:14:00.1576028Z 2025-06-05T23:14:00.1576119Z Login Succeeded 2025-06-05T23:14:00.1654386Z Prepare all required actions 2025-06-05T23:14:00.1695994Z ##[group]Run ./test-infra/.github/actions/pull-docker-image 2025-06-05T23:14:00.1696390Z with: 2025-06-05T23:14:00.1697041Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-qnn-sdk:6019efcb31bb9f8cd1203f7a1f1de7a1a0e0ecaa 2025-06-05T23:14:00.1697864Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-06-05T23:14:00.1698248Z env: 2025-06-05T23:14:00.1698483Z DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk 2025-06-05T23:14:00.1698841Z REPOSITORY: pytorch/executorch 2025-06-05T23:14:00.1699109Z PR_NUMBER: 2025-06-05T23:14:00.1702274Z SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") conda activate "${CONDA_ENV}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./install_requirements.sh --use-pt-pinned-commit PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh # Setup executorch PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}" # Install requirements for export_llama PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh # Test llama2 PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}" 2025-06-05T23:14:00.1705575Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-06-05T23:14:00.1706140Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-06-05T23:14:00.1706685Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-06-05T23:14:00.1707053Z ##[endgroup] 2025-06-05T23:14:00.1731066Z ##[group]Run set -x 2025-06-05T23:14:00.1731335Z set -x 2025-06-05T23:14:00.1731554Z set +e 2025-06-05T23:14:00.1731764Z  2025-06-05T23:14:00.1731967Z login() { 2025-06-05T23:14:00.1732411Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-06-05T23:14:00.1733044Z } 2025-06-05T23:14:00.1733241Z  2025-06-05T23:14:00.1733424Z retry () { 2025-06-05T23:14:00.1733685Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-06-05T23:14:00.1733976Z } 2025-06-05T23:14:00.1734176Z  2025-06-05T23:14:00.1734383Z retry login "${DOCKER_REGISTRY}" 2025-06-05T23:14:00.1734676Z  2025-06-05T23:14:00.1735132Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-06-05T23:14:00.1735778Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-06-05T23:14:00.1736135Z  2025-06-05T23:14:00.1736318Z set -e 2025-06-05T23:14:00.1736644Z # ignore output since only exit code is used for conditional 2025-06-05T23:14:00.1737106Z # only pull docker image if it's not available locally 2025-06-05T23:14:00.1737631Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-06-05T23:14:00.1738111Z  retry docker pull "${DOCKER_IMAGE}" 2025-06-05T23:14:00.1738416Z fi 2025-06-05T23:14:00.1744049Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-06-05T23:14:00.1744418Z env: 2025-06-05T23:14:00.1745069Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-qnn-sdk:6019efcb31bb9f8cd1203f7a1f1de7a1a0e0ecaa 2025-06-05T23:14:00.1745800Z REPOSITORY: pytorch/executorch 2025-06-05T23:14:00.1746082Z PR_NUMBER: 2025-06-05T23:14:00.1749335Z SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") conda activate "${CONDA_ENV}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./install_requirements.sh --use-pt-pinned-commit PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh # Setup executorch PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}" # Install requirements for export_llama PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh # Test llama2 PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}" 2025-06-05T23:14:00.1752763Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-06-05T23:14:00.1753334Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-06-05T23:14:00.1753869Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-06-05T23:14:00.1754334Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-06-05T23:14:00.1754712Z ##[endgroup] 2025-06-05T23:14:00.1778463Z + set +e 2025-06-05T23:14:00.1778966Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-06-05T23:14:00.1779597Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-06-05T23:14:00.1781819Z + aws ecr get-login-password --region us-east-1 2025-06-05T23:14:00.1782974Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-06-05T23:14:00.7241740Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-06-05T23:14:00.7242365Z Configure a credential helper to remove this warning. See 2025-06-05T23:14:00.7243045Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-06-05T23:14:00.7243425Z 2025-06-05T23:14:00.7243535Z Login Succeeded 2025-06-05T23:14:00.7257399Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-qnn-sdk:6019efcb31bb9f8cd1203f7a1f1de7a1a0e0ecaa 2025-06-05T23:14:00.7258286Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-06-05T23:14:00.9335577Z + IMAGE_SIZE=7601.8407192230225 2025-06-05T23:14:00.9335968Z Compressed size of image in MB: 7601.8407192230225 2025-06-05T23:14:00.9336666Z + echo 'Compressed size of image in MB: 7601.8407192230225' 2025-06-05T23:14:00.9337036Z + set -e 2025-06-05T23:14:00.9337747Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-qnn-sdk:6019efcb31bb9f8cd1203f7a1f1de7a1a0e0ecaa 2025-06-05T23:14:00.9451862Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-qnn-sdk:6019efcb31bb9f8cd1203f7a1f1de7a1a0e0ecaa 2025-06-05T23:14:00.9453078Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-qnn-sdk:6019efcb31bb9f8cd1203f7a1f1de7a1a0e0ecaa 2025-06-05T23:14:01.1917061Z 6019efcb31bb9f8cd1203f7a1f1de7a1a0e0ecaa: Pulling from executorch/executorch-ubuntu-22.04-qnn-sdk 2025-06-05T23:14:01.1918226Z f557aa5ee224: Pulling fs layer 2025-06-05T23:14:01.1918742Z 53b460f20fa2: Pulling fs layer 2025-06-05T23:14:01.1919244Z 9c0222e3bd96: Pulling fs layer 2025-06-05T23:14:01.1919734Z c30fec91d711: Pulling fs layer 2025-06-05T23:14:01.1920119Z 2137fe3d6c8b: Pulling fs layer 2025-06-05T23:14:01.1920385Z 3993b97cc01a: Pulling fs layer 2025-06-05T23:14:01.1920647Z 6e964dcfe8cd: Pulling fs layer 2025-06-05T23:14:01.1920921Z 59140483a9d7: Pulling fs layer 2025-06-05T23:14:01.1921174Z 442b52cf2c65: Pulling fs layer 2025-06-05T23:14:01.1921439Z 81817e7913a3: Pulling fs layer 2025-06-05T23:14:01.1921691Z fa3705fea326: Pulling fs layer 2025-06-05T23:14:01.1921958Z 8a647cebb32f: Pulling fs layer 2025-06-05T23:14:01.1922203Z 2137fe3d6c8b: Waiting 2025-06-05T23:14:01.1922447Z 7b2f37adad32: Pulling fs layer 2025-06-05T23:14:01.1922715Z 5c08f897efe5: Pulling fs layer 2025-06-05T23:14:01.1922968Z c906c3b73c9a: Pulling fs layer 2025-06-05T23:14:01.1923223Z 3993b97cc01a: Waiting 2025-06-05T23:14:01.1923435Z 59140483a9d7: Waiting 2025-06-05T23:14:01.1923889Z 6e964dcfe8cd: Waiting 2025-06-05T23:14:01.1924127Z fb297e4a7f96: Pulling fs layer 2025-06-05T23:14:01.1924391Z 442b52cf2c65: Waiting 2025-06-05T23:14:01.1924618Z ef88320afe39: Pulling fs layer 2025-06-05T23:14:01.1924896Z c81ceab1dc29: Pulling fs layer 2025-06-05T23:14:01.1925161Z b7a0ba8fe68b: Pulling fs layer 2025-06-05T23:14:01.1925425Z fa3705fea326: Waiting 2025-06-05T23:14:01.1925654Z 81817e7913a3: Waiting 2025-06-05T23:14:01.1925864Z 8a647cebb32f: Waiting 2025-06-05T23:14:01.1926102Z c71f810ba4d6: Pulling fs layer 2025-06-05T23:14:01.1926345Z 5c08f897efe5: Waiting 2025-06-05T23:14:01.1926581Z a4b29879ad48: Pulling fs layer 2025-06-05T23:14:01.1926831Z 0f670d2c149d: Pulling fs layer 2025-06-05T23:14:01.1927095Z 315188b3b5fd: Pulling fs layer 2025-06-05T23:14:01.1927335Z 7b2f37adad32: Waiting 2025-06-05T23:14:01.1927561Z c906c3b73c9a: Waiting 2025-06-05T23:14:01.1927772Z fb297e4a7f96: Waiting 2025-06-05T23:14:01.1928004Z 5f6470ba9790: Pulling fs layer 2025-06-05T23:14:01.1928321Z ef88320afe39: Waiting 2025-06-05T23:14:01.1928656Z a2057a0a9541: Pulling fs layer 2025-06-05T23:14:01.1928954Z 9b45fc6abe7a: Pulling fs layer 2025-06-05T23:14:01.1929221Z c30fec91d711: Waiting 2025-06-05T23:14:01.1929466Z dc71e2d5671e: Pulling fs layer 2025-06-05T23:14:01.1929711Z c81ceab1dc29: Waiting 2025-06-05T23:14:01.1929938Z 5f6470ba9790: Waiting 2025-06-05T23:14:01.1930156Z 1767d7f283e8: Pulling fs layer 2025-06-05T23:14:01.1930450Z 4f4fb700ef54: Pulling fs layer 2025-06-05T23:14:01.1930693Z c71f810ba4d6: Waiting 2025-06-05T23:14:01.1930920Z a4b29879ad48: Waiting 2025-06-05T23:14:01.1931143Z 0f670d2c149d: Waiting 2025-06-05T23:14:01.1931590Z a6c04087a6b9: Pulling fs layer 2025-06-05T23:14:01.1931946Z 31d099d02998: Pulling fs layer 2025-06-05T23:14:01.1932191Z 315188b3b5fd: Waiting 2025-06-05T23:14:01.1932418Z dc71e2d5671e: Waiting 2025-06-05T23:14:01.1932630Z a2057a0a9541: Waiting 2025-06-05T23:14:01.1932888Z 9b45fc6abe7a: Waiting 2025-06-05T23:14:01.1933111Z e269d1739d75: Pulling fs layer 2025-06-05T23:14:01.1933373Z 31d099d02998: Waiting 2025-06-05T23:14:01.1933626Z e269d1739d75: Waiting 2025-06-05T23:14:01.1933869Z 1767d7f283e8: Waiting 2025-06-05T23:14:01.2797252Z 53b460f20fa2: Verifying Checksum 2025-06-05T23:14:01.2798407Z 53b460f20fa2: Download complete 2025-06-05T23:14:01.4055194Z c30fec91d711: Verifying Checksum 2025-06-05T23:14:01.4055913Z c30fec91d711: Download complete 2025-06-05T23:14:01.5456419Z f557aa5ee224: Download complete 2025-06-05T23:14:01.6363229Z 3993b97cc01a: Download complete 2025-06-05T23:14:01.6699969Z 2137fe3d6c8b: Verifying Checksum 2025-06-05T23:14:01.6700493Z 2137fe3d6c8b: Download complete 2025-06-05T23:14:01.7711461Z 59140483a9d7: Verifying Checksum 2025-06-05T23:14:01.7712029Z 59140483a9d7: Download complete 2025-06-05T23:14:01.8514108Z 442b52cf2c65: Download complete 2025-06-05T23:14:01.9206001Z 81817e7913a3: Download complete 2025-06-05T23:14:02.3268714Z fa3705fea326: Verifying Checksum 2025-06-05T23:14:02.3269157Z fa3705fea326: Download complete 2025-06-05T23:14:02.4686101Z 8a647cebb32f: Verifying Checksum 2025-06-05T23:14:02.4686485Z 8a647cebb32f: Download complete 2025-06-05T23:14:02.4855950Z f557aa5ee224: Pull complete 2025-06-05T23:14:02.5101329Z 53b460f20fa2: Pull complete 2025-06-05T23:14:02.7497807Z 9c0222e3bd96: Verifying Checksum 2025-06-05T23:14:02.7498556Z 9c0222e3bd96: Download complete 2025-06-05T23:14:02.8542690Z 5c08f897efe5: Download complete 2025-06-05T23:14:02.9261137Z c906c3b73c9a: Download complete 2025-06-05T23:14:02.9974770Z fb297e4a7f96: Verifying Checksum 2025-06-05T23:14:02.9975256Z fb297e4a7f96: Download complete 2025-06-05T23:14:03.0197934Z 6e964dcfe8cd: Verifying Checksum 2025-06-05T23:14:03.0198490Z 6e964dcfe8cd: Download complete 2025-06-05T23:14:03.1017291Z c81ceab1dc29: Verifying Checksum 2025-06-05T23:14:03.1017860Z c81ceab1dc29: Download complete 2025-06-05T23:14:03.1990176Z b7a0ba8fe68b: Verifying Checksum 2025-06-05T23:14:03.1991005Z b7a0ba8fe68b: Download complete 2025-06-05T23:14:03.2969085Z c71f810ba4d6: Download complete 2025-06-05T23:14:03.3644781Z a4b29879ad48: Verifying Checksum 2025-06-05T23:14:03.3645357Z a4b29879ad48: Download complete 2025-06-05T23:14:03.8231906Z ef88320afe39: Verifying Checksum 2025-06-05T23:14:03.8232502Z ef88320afe39: Download complete 2025-06-05T23:14:03.9038149Z 315188b3b5fd: Verifying Checksum 2025-06-05T23:14:03.9038719Z 315188b3b5fd: Download complete 2025-06-05T23:14:05.0768851Z 7b2f37adad32: Verifying Checksum 2025-06-05T23:14:05.0769452Z 7b2f37adad32: Download complete 2025-06-05T23:14:05.1737207Z a2057a0a9541: Verifying Checksum 2025-06-05T23:14:05.1737768Z a2057a0a9541: Download complete 2025-06-05T23:14:06.2849635Z 5f6470ba9790: Verifying Checksum 2025-06-05T23:14:06.2850185Z 5f6470ba9790: Download complete 2025-06-05T23:14:06.3961168Z dc71e2d5671e: Verifying Checksum 2025-06-05T23:14:06.3961737Z dc71e2d5671e: Download complete 2025-06-05T23:14:06.4733127Z 1767d7f283e8: Download complete 2025-06-05T23:14:06.4805639Z 4f4fb700ef54: Verifying Checksum 2025-06-05T23:14:06.4806261Z 4f4fb700ef54: Download complete 2025-06-05T23:14:06.5747760Z a6c04087a6b9: Download complete 2025-06-05T23:14:06.6726820Z 31d099d02998: Download complete 2025-06-05T23:14:06.7614062Z e269d1739d75: Verifying Checksum 2025-06-05T23:14:06.7614491Z e269d1739d75: Download complete 2025-06-05T23:14:06.7878596Z 9c0222e3bd96: Pull complete 2025-06-05T23:14:06.9675055Z c30fec91d711: Pull complete 2025-06-05T23:14:07.0705747Z 9b45fc6abe7a: Verifying Checksum 2025-06-05T23:14:07.0706219Z 9b45fc6abe7a: Download complete 2025-06-05T23:14:07.3762708Z 2137fe3d6c8b: Pull complete 2025-06-05T23:14:07.5693894Z 3993b97cc01a: Pull complete 2025-06-05T23:14:10.2358136Z 6e964dcfe8cd: Pull complete 2025-06-05T23:14:10.4181371Z 59140483a9d7: Pull complete 2025-06-05T23:14:10.6025926Z 442b52cf2c65: Pull complete 2025-06-05T23:14:10.8078162Z 81817e7913a3: Pull complete 2025-06-05T23:14:11.4742215Z fa3705fea326: Pull complete 2025-06-05T23:14:11.6320732Z 8a647cebb32f: Pull complete 2025-06-05T23:14:21.1765399Z 7b2f37adad32: Pull complete 2025-06-05T23:14:21.2916629Z 5c08f897efe5: Pull complete 2025-06-05T23:14:21.4425181Z c906c3b73c9a: Pull complete 2025-06-05T23:14:21.5490717Z fb297e4a7f96: Pull complete 2025-06-05T23:14:25.2406503Z ef88320afe39: Pull complete 2025-06-05T23:14:25.4614604Z c81ceab1dc29: Pull complete 2025-06-05T23:14:25.6829126Z b7a0ba8fe68b: Pull complete 2025-06-05T23:14:25.8989178Z c71f810ba4d6: Pull complete 2025-06-05T23:14:26.1175151Z a4b29879ad48: Pull complete 2025-06-05T23:15:11.9950571Z 0f670d2c149d: Verifying Checksum 2025-06-05T23:15:11.9950980Z 0f670d2c149d: Download complete 2025-06-05T23:16:27.8541939Z 0f670d2c149d: Pull complete 2025-06-05T23:16:28.1437804Z 315188b3b5fd: Pull complete 2025-06-05T23:16:35.7220473Z 5f6470ba9790: Pull complete 2025-06-05T23:16:35.9799053Z a2057a0a9541: Pull complete 2025-06-05T23:16:44.9786649Z 9b45fc6abe7a: Pull complete 2025-06-05T23:16:45.1988435Z dc71e2d5671e: Pull complete 2025-06-05T23:16:45.5098624Z 1767d7f283e8: Pull complete 2025-06-05T23:16:45.6096696Z 4f4fb700ef54: Pull complete 2025-06-05T23:16:45.8185921Z a6c04087a6b9: Pull complete 2025-06-05T23:16:46.0371196Z 31d099d02998: Pull complete 2025-06-05T23:16:46.4785092Z e269d1739d75: Pull complete 2025-06-05T23:16:46.6726143Z Digest: sha256:a598771deb521efdcb258eacf60b9a9115e34a47e0ec6e3b41bd6a49ffb3adce 2025-06-05T23:16:46.7728770Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-qnn-sdk:6019efcb31bb9f8cd1203f7a1f1de7a1a0e0ecaa 2025-06-05T23:16:46.8270460Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-qnn-sdk:6019efcb31bb9f8cd1203f7a1f1de7a1a0e0ecaa 2025-06-05T23:16:46.8312256Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-06-05T23:16:46.8313205Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-06-05T23:16:46.8322759Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-06-05T23:16:46.8323134Z env: 2025-06-05T23:16:46.8323381Z DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk 2025-06-05T23:16:46.8323735Z REPOSITORY: pytorch/executorch 2025-06-05T23:16:46.8324015Z PR_NUMBER: 2025-06-05T23:16:46.8327172Z 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}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./install_requirements.sh --use-pt-pinned-commit PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh # Setup executorch PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}" # Install requirements for export_llama PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh # Test llama2 PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}" 2025-06-05T23:16:46.8330484Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-06-05T23:16:46.8331054Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-06-05T23:16:46.8331599Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-06-05T23:16:46.8331968Z ##[endgroup] 2025-06-05T23:16:46.8605294Z ##[group]Run set -ex 2025-06-05T23:16:46.8605590Z set -ex 2025-06-05T23:16:46.8605797Z { 2025-06-05T23:16:46.8606020Z  echo "#!/usr/bin/env bash"; 2025-06-05T23:16:46.8606321Z  echo "set -eou pipefail"; 2025-06-05T23:16:46.8606632Z  # shellcheck disable=SC2016 2025-06-05T23:16:46.8606964Z  echo 'eval "$(conda shell.bash hook)"'; 2025-06-05T23:16:46.8607281Z  echo "set -x"; 2025-06-05T23:16:46.8607540Z  echo "${SCRIPT}"; 2025-06-05T23:16:46.8607808Z } > "${RUNNER_TEMP}/exec_script" 2025-06-05T23:16:46.8608138Z chmod +x "${RUNNER_TEMP}/exec_script" 2025-06-05T23:16:46.8608839Z python3 "/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/.github/scripts/run_with_env_secrets.py" "" 2025-06-05T23:16:46.8615352Z shell: /usr/bin/bash -e {0} 2025-06-05T23:16:46.8615607Z env: 2025-06-05T23:16:46.8616298Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-qnn-sdk:6019efcb31bb9f8cd1203f7a1f1de7a1a0e0ecaa 2025-06-05T23:16:46.8617035Z REPOSITORY: pytorch/executorch 2025-06-05T23:16:46.8617317Z PR_NUMBER: 2025-06-05T23:16:46.8620429Z SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") conda activate "${CONDA_ENV}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./install_requirements.sh --use-pt-pinned-commit PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh # Setup executorch PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}" # Install requirements for export_llama PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh # Test llama2 PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}" 2025-06-05T23:16:46.8623870Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-06-05T23:16:46.8624452Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-06-05T23:16:46.8624978Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-06-05T23:16:46.8625719Z ALL_SECRETS: { "github_token": "***" } 2025-06-05T23:16:46.8626012Z ##[endgroup] 2025-06-05T23:16:46.8650054Z + echo '#!/usr/bin/env bash' 2025-06-05T23:16:46.8650531Z + echo 'set -eou pipefail' 2025-06-05T23:16:46.8650912Z + echo 'eval "$(conda shell.bash hook)"' 2025-06-05T23:16:46.8651366Z + echo 'set -x' 2025-06-05T23:16:46.8651982Z + echo '# The generic Linux job chooses to use base env, not the one setup by the image 2025-06-05T23:16:46.8652809Z CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") 2025-06-05T23:16:46.8653451Z conda activate "${CONDA_ENV}" 2025-06-05T23:16:46.8653637Z 2025-06-05T23:16:46.8653753Z BUILD_TOOL="cmake" 2025-06-05T23:16:46.8653963Z DTYPE=fp32 2025-06-05T23:16:46.8654164Z MODE=qnn 2025-06-05T23:16:46.8654362Z PT2E_QUANTIZE=qnn_16a16w 2025-06-05T23:16:46.8654523Z 2025-06-05T23:16:46.8654679Z ./install_requirements.sh --use-pt-pinned-commit 2025-06-05T23:16:46.8655105Z PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh 2025-06-05T23:16:46.8655578Z PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh 2025-06-05T23:16:46.8655856Z 2025-06-05T23:16:46.8655941Z # Setup executorch 2025-06-05T23:16:46.8656353Z PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}" 2025-06-05T23:16:46.8656860Z # Install requirements for export_llama 2025-06-05T23:16:46.8657299Z PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh 2025-06-05T23:16:46.8657747Z # Test llama2 2025-06-05T23:16:46.8658587Z PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}" 2025-06-05T23:16:46.8659360Z ' 2025-06-05T23:16:46.8659647Z + chmod +x /home/ec2-user/actions-runner/_work/_temp/exec_script 2025-06-05T23:16:46.8662069Z + python3 /home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/.github/scripts/run_with_env_secrets.py '' 2025-06-05T23:17:04.4203940Z Running command: 2025-06-05T23:17:04.4209979Z 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_15475023371" `# 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_94ad2290-c07c-46e6-a811-65e0fb17e8d7":"/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_94ad2290-c07c-46e6-a811-65e0fb17e8d7" -w /pytorch/executorch "308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-qnn-sdk:6019efcb31bb9f8cd1203f7a1f1de7a1a0e0ecaa" 2025-06-05T23:17:04.4216052Z 2025-06-05T23:17:04.4216384Z a8280cb0a26005c37ba648a77af857edf25c549cd5190e03bd8d57bebd1d944d 2025-06-05T23:17:04.4217133Z Running command: docker exec -t a8280cb0a26005c37ba648a77af857edf25c549cd5190e03bd8d57bebd1d944d /exec 2025-06-05T23:17:04.4217692Z ++ conda env list --json 2025-06-05T23:17:04.4217939Z ++ local cmd=env 2025-06-05T23:17:04.4218158Z ++ case "$cmd" in 2025-06-05T23:17:04.4218378Z ++ __conda_exe env list --json 2025-06-05T23:17:04.4218653Z ++ jq -r '.envs | .[-1]' 2025-06-05T23:17:04.4218903Z ++ /opt/conda/bin/conda env list --json 2025-06-05T23:17:04.4219217Z + CONDA_ENV=/opt/conda/envs/py_3.10 2025-06-05T23:17:04.4219511Z + conda activate /opt/conda/envs/py_3.10 2025-06-05T23:17:04.4219810Z + local cmd=activate 2025-06-05T23:17:04.4220026Z + case "$cmd" in 2025-06-05T23:17:04.4220288Z + __conda_activate activate /opt/conda/envs/py_3.10 2025-06-05T23:17:04.4220663Z + '[' -n '' ']' 2025-06-05T23:17:04.4220862Z + local ask_conda 2025-06-05T23:17:04.4221084Z ++ PS1='(base) ' 2025-06-05T23:17:04.4221372Z ++ __conda_exe shell.posix activate /opt/conda/envs/py_3.10 2025-06-05T23:17:04.4221861Z ++ /opt/conda/bin/conda shell.posix activate /opt/conda/envs/py_3.10 2025-06-05T23:17:04.4222266Z + ask_conda='PS1='\''(py_3.10) '\'' 2025-06-05T23:17:04.4223125Z 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'\'' 2025-06-05T23:17:04.4224094Z export CONDA_PREFIX='\''/opt/conda/envs/py_3.10'\'' 2025-06-05T23:17:04.4224432Z export CONDA_SHLVL='\''2'\'' 2025-06-05T23:17:04.4224715Z export CONDA_DEFAULT_ENV='\''py_3.10'\'' 2025-06-05T23:17:04.4225040Z export CONDA_PROMPT_MODIFIER='\''(py_3.10) '\'' 2025-06-05T23:17:04.4225385Z export CONDA_PREFIX_1='\''/opt/conda'\'' 2025-06-05T23:17:04.4225706Z export CONDA_EXE='\''/opt/conda/bin/conda'\'' 2025-06-05T23:17:04.4226018Z export _CE_M='\'''\'' 2025-06-05T23:17:04.4226257Z export _CE_CONDA='\'''\'' 2025-06-05T23:17:04.4226751Z export CONDA_PYTHON_EXE='\''/opt/conda/bin/python'\''' 2025-06-05T23:17:04.4227116Z + eval 'PS1='\''(py_3.10) '\'' 2025-06-05T23:17:04.4227935Z 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'\'' 2025-06-05T23:17:04.4228836Z export CONDA_PREFIX='\''/opt/conda/envs/py_3.10'\'' 2025-06-05T23:17:04.4229166Z export CONDA_SHLVL='\''2'\'' 2025-06-05T23:17:04.4229450Z export CONDA_DEFAULT_ENV='\''py_3.10'\'' 2025-06-05T23:17:04.4229775Z export CONDA_PROMPT_MODIFIER='\''(py_3.10) '\'' 2025-06-05T23:17:04.4230117Z export CONDA_PREFIX_1='\''/opt/conda'\'' 2025-06-05T23:17:04.4230449Z export CONDA_EXE='\''/opt/conda/bin/conda'\'' 2025-06-05T23:17:04.4230750Z export _CE_M='\'''\'' 2025-06-05T23:17:04.4231141Z export _CE_CONDA='\'''\'' 2025-06-05T23:17:04.4231444Z export CONDA_PYTHON_EXE='\''/opt/conda/bin/python'\''' 2025-06-05T23:17:04.4231789Z ++ PS1='(py_3.10) ' 2025-06-05T23:17:04.4232558Z ++ 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 2025-06-05T23:17:04.4233911Z ++ 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 2025-06-05T23:17:04.4234753Z ++ export CONDA_PREFIX=/opt/conda/envs/py_3.10 2025-06-05T23:17:04.4235080Z ++ CONDA_PREFIX=/opt/conda/envs/py_3.10 2025-06-05T23:17:04.4235378Z ++ export CONDA_SHLVL=2 2025-06-05T23:17:04.4235598Z ++ CONDA_SHLVL=2 2025-06-05T23:17:04.4235834Z ++ export CONDA_DEFAULT_ENV=py_3.10 2025-06-05T23:17:04.4236113Z ++ CONDA_DEFAULT_ENV=py_3.10 2025-06-05T23:17:04.4236405Z ++ export 'CONDA_PROMPT_MODIFIER=(py_3.10) ' 2025-06-05T23:17:04.4236721Z ++ CONDA_PROMPT_MODIFIER='(py_3.10) ' 2025-06-05T23:17:04.4237096Z ++ export CONDA_PREFIX_1=/opt/conda 2025-06-05T23:17:04.4237390Z ++ CONDA_PREFIX_1=/opt/conda 2025-06-05T23:17:04.4237664Z ++ export CONDA_EXE=/opt/conda/bin/conda 2025-06-05T23:17:04.4237976Z ++ CONDA_EXE=/opt/conda/bin/conda 2025-06-05T23:17:04.4238238Z ++ export _CE_M= 2025-06-05T23:17:04.4238456Z ++ _CE_M= 2025-06-05T23:17:04.4238644Z ++ export _CE_CONDA= 2025-06-05T23:17:04.4238863Z ++ _CE_CONDA= 2025-06-05T23:17:04.4239099Z ++ export CONDA_PYTHON_EXE=/opt/conda/bin/python 2025-06-05T23:17:04.4251988Z ++ CONDA_PYTHON_EXE=/opt/conda/bin/python 2025-06-05T23:17:04.4252320Z + __conda_hashr 2025-06-05T23:17:04.4252547Z + '[' -n '' ']' 2025-06-05T23:17:04.4252747Z + '[' -n '' ']' 2025-06-05T23:17:04.4252959Z + hash -r 2025-06-05T23:17:04.4253158Z + BUILD_TOOL=cmake 2025-06-05T23:17:04.4253367Z + DTYPE=fp32 2025-06-05T23:17:04.4253572Z + MODE=qnn 2025-06-05T23:17:04.4253773Z + PT2E_QUANTIZE=qnn_16a16w 2025-06-05T23:17:04.4254108Z + ./install_requirements.sh --use-pt-pinned-commit 2025-06-05T23:17:04.4254674Z Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/nightly/cpu 2025-06-05T23:17:04.4255491Z Requirement already satisfied: torch in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (2.8.0a0+git5616fa4) 2025-06-05T23:17:04.4256384Z Requirement already satisfied: torchvision in /var/lib/ci-user/.local/lib/python3.10/site-packages (0.22.0a0+966da7e) 2025-06-05T23:17:04.4257293Z Requirement already satisfied: torchaudio in /var/lib/ci-user/.local/lib/python3.10/site-packages (2.6.0a0+1a8f621) 2025-06-05T23:17:04.4258011Z Collecting timm==1.0.7 (from -r requirements-examples.txt (line 3)) 2025-06-05T23:17:04.4258495Z Downloading timm-1.0.7-py3-none-any.whl.metadata (47 kB) 2025-06-05T23:17:04.4259330Z 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) 2025-06-05T23:17:04.4260214Z Collecting torchtune>=0.6.1 (from -r requirements-examples.txt (line 5)) 2025-06-05T23:17:04.4260772Z Downloading torchtune-0.6.1-py3-none-any.whl.metadata (24 kB) 2025-06-05T23:17:04.4261809Z 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) 2025-06-05T23:17:04.4262708Z Collecting cmake<4.0.0,>=3.19 (from -r requirements-dev.txt (line 1)) 2025-06-05T23:17:04.4263458Z Downloading cmake-3.31.6-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (6.3 kB) 2025-06-05T23:17:04.4264384Z 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) 2025-06-05T23:17:04.4265492Z 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) 2025-06-05T23:17:04.4266643Z 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) 2025-06-05T23:17:04.4267843Z 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) 2025-06-05T23:17:04.4268947Z 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) 2025-06-05T23:17:04.4270059Z 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) 2025-06-05T23:17:04.4271331Z 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) 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eta -:--:-- 2025-06-05T23:17:10.0766492Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 42.3/42.3 MB 216.0 MB/s eta 0:00:00 2025-06-05T23:17:10.0767265Z [?25hDownloading hf_transfer-0.1.9-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.6 MB) 2025-06-05T23:17:10.0768019Z [?25l ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/3.6 MB ? eta -:--:-- 2025-06-05T23:17:10.0768681Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.6/3.6 MB 179.1 MB/s eta 0:00:00 2025-06-05T23:17:10.0769268Z [?25hDownloading kagglehub-0.3.12-py3-none-any.whl (67 kB) 2025-06-05T23:17:10.0770003Z 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) 2025-06-05T23:17:10.0770878Z Downloading tiktoken-0.9.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.2 MB) 2025-06-05T23:17:10.0771624Z [?25l ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/1.2 MB ? eta -:--:-- 2025-06-05T23:17:10.0772366Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.2/1.2 MB 109.2 MB/s eta 0:00:00 2025-06-05T23:17:10.0773268Z [?25hBuilding wheels for collected packages: antlr4-python3-runtime 2025-06-05T23:17:10.0775951Z  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 2025-06-05T23:17:10.0778223Z  Building wheel for antlr4-python3-runtime (setup.py) ... [?25l- done 2025-06-05T23:17:10.0779425Z [?25h Created wheel for antlr4-python3-runtime: filename=antlr4_python3_runtime-4.9.3-py3-none-any.whl size=144590 sha256=b636dc83c91b3d81c4a1c396e10aeb8389f8175f673eed7fb56ec2a86586b5f7 2025-06-05T23:17:10.0780630Z Stored in directory: /var/lib/ci-user/.cache/pip/wheels/8e/0c/ef/6e1004d7898c3e61c08b70be9a80232ee72e7c55c9a9bffa33 2025-06-05T23:17:10.0781289Z Successfully built antlr4-python3-runtime 2025-06-05T23:17:10.0782793Z 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 2025-06-05T23:17:10.0784343Z [?25l 2025-06-05T23:17:10.0784817Z  ━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  3/27 [pycryptodomex] 2025-06-05T23:17:10.0785445Z  ━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  3/27 [pycryptodomex] 2025-06-05T23:17:10.0786065Z  ━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  4/27 [pyarrow] 2025-06-05T23:17:10.0786734Z  ━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  4/27 [pyarrow] 2025-06-05T23:17:19.6071792Z  ━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  4/27 [pyarrow] 2025-06-05T23:17:19.6073205Z  ━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  4/27 [pyarrow] 2025-06-05T23:17:19.6074318Z  ━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  4/27 [pyarrow] 2025-06-05T23:17:19.6075540Z  ━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  4/27 [pyarrow] 2025-06-05T23:17:19.6076651Z  ━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  5/27 [psutil] 2025-06-05T23:17:19.6077745Z  ━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  7/27 [omegaconf] 2025-06-05T23:17:19.6078542Z  Attempting uninstall: fsspec 2025-06-05T23:17:19.6079365Z ━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  7/27 [omegaconf] 2025-06-05T23:17:19.6080237Z  Found existing installation: fsspec 2025.5.1 2025-06-05T23:17:19.6081182Z ━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  7/27 [omegaconf] 2025-06-05T23:17:19.6082032Z  Uninstalling fsspec-2025.5.1: 2025-06-05T23:17:19.6082980Z ━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  7/27 [omegaconf] 2025-06-05T23:17:19.6083920Z  Successfully uninstalled fsspec-2025.5.1 2025-06-05T23:17:19.6085317Z ━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  7/27 [omegaconf] 2025-06-05T23:17:19.6086444Z  ━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━ 10/27 [fsspec] 2025-06-05T23:17:19.6087530Z  ━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━ 13/27 [cmake] 2025-06-05T23:17:19.6088633Z  ━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━ 13/27 [cmake] 2025-06-05T23:17:19.6089712Z  ━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━ 13/27 [cmake] 2025-06-05T23:17:19.6090832Z  ━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━ 13/27 [cmake] 2025-06-05T23:17:19.6091882Z  ━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━ 13/27 [cmake] 2025-06-05T23:17:19.6093139Z  ━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━ 13/27 [cmake] 2025-06-05T23:17:19.6094252Z  ━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━ 13/27 [cmake] 2025-06-05T23:17:19.6095328Z  ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 15/27 [aiohappyeyeballs] 2025-06-05T23:17:19.6096460Z  ━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━ 16/27 [yarl] 2025-06-05T23:17:19.6097568Z  ━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━ 17/27 [tiktoken] 2025-06-05T23:17:19.6098686Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━ 18/27 [multiprocess] 2025-06-05T23:17:19.6099791Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━ 19/27 [kagglehub] 2025-06-05T23:17:19.6100899Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━ 20/27 [blobfile] 2025-06-05T23:17:19.6102065Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━ 23/27 [aiohttp] 2025-06-05T23:17:19.6102882Z  Attempting uninstall: timm 2025-06-05T23:17:19.6103805Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━ 23/27 [aiohttp] 2025-06-05T23:17:19.6104677Z  Found existing installation: timm 0.6.13 2025-06-05T23:17:19.6105641Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━ 23/27 [aiohttp] 2025-06-05T23:17:19.6106384Z  Uninstalling timm-0.6.13: 2025-06-05T23:17:19.6107242Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━ 23/27 [aiohttp] 2025-06-05T23:17:19.6108284Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━ 24/27 [timm] 2025-06-05T23:17:19.6109115Z  Successfully uninstalled timm-0.6.13 2025-06-05T23:17:19.6110014Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━ 24/27 [timm] 2025-06-05T23:17:19.6111351Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━ 24/27 [timm] 2025-06-05T23:17:19.6112562Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━ 24/27 [timm] 2025-06-05T23:17:19.6113614Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━ 24/27 [timm] 2025-06-05T23:17:19.6114657Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 25/27 [datasets] 2025-06-05T23:17:19.6115737Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torchtune] 2025-06-05T23:17:19.6116784Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torchtune] 2025-06-05T23:17:19.6117765Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 27/27 [torchtune] 2025-06-05T23:17:19.6118423Z [?25h 2025-06-05T23:17:19.6122549Z 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 2025-06-05T23:17:19.6126348Z Processing ./third-party/ao 2025-06-05T23:17:19.6127097Z Preparing metadata (setup.py) ... [?25l- done 2025-06-05T23:17:19.6127837Z [?25hProcessing ./extension/llm/tokenizers 2025-06-05T23:17:19.6128673Z Preparing metadata (pyproject.toml) ... [?25l- \ done 2025-06-05T23:17:19.6130289Z [?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) 2025-06-05T23:17:19.6132362Z 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) 2025-06-05T23:17:19.6134422Z 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) 2025-06-05T23:17:27.0767975Z 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) 2025-06-05T23:17:27.0769535Z 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) 2025-06-05T23:17:27.0770890Z 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) 2025-06-05T23:17:27.0772206Z 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) 2025-06-05T23:17:27.0773660Z 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) 2025-06-05T23:17:27.0775240Z 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) 2025-06-05T23:17:27.0776548Z 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) 2025-06-05T23:17:27.0777883Z 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) 2025-06-05T23:17:27.0779284Z 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) 2025-06-05T23:17:27.0780788Z 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) 2025-06-05T23:17:27.0782184Z 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) 2025-06-05T23:17:27.0783549Z 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) 2025-06-05T23:17:27.0784973Z 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) 2025-06-05T23:17:27.0786418Z 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) 2025-06-05T23:17:27.0787376Z Building wheels for collected packages: torchao, pytorch_tokenizers 2025-06-05T23:17:27.0789916Z  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 2025-06-05T23:17:27.0792115Z  Building wheel for torchao (setup.py) ... [?25l- \ | / - done 2025-06-05T23:17:27.0793277Z [?25h Created wheel for torchao: filename=torchao-0.12.0+gitbc68b11-cp39-abi3-linux_x86_64.whl size=955946 sha256=fcec0b38d21b4a7aa894ca36d2bbbf1d7ca757fa2d8ea1a17b65ef3f79250b5f 2025-06-05T23:17:27.0794516Z Stored in directory: /tmp/pip-ephem-wheel-cache-jfjrp2j3/wheels/0b/23/ff/2261dc1c4a27252503fe159d9fc88676b133e0e8d621abf36f 2025-06-05T23:17:27.0795425Z Building wheel for pytorch_tokenizers (pyproject.toml) ... [?25l- \ done 2025-06-05T23:17:27.0796599Z [?25h Created wheel for pytorch_tokenizers: filename=pytorch_tokenizers-0.1.0-py3-none-any.whl size=10999 sha256=cce3bcd3def567b7088ebba6cc144b90de90743688d557763a809d49f4ab8fac 2025-06-05T23:17:27.0797826Z Stored in directory: /tmp/pip-ephem-wheel-cache-jfjrp2j3/wheels/27/7b/a1/358699b32a468639d6f9ef263f9676280bc5ee318b0bd9a0b2 2025-06-05T23:17:27.0798542Z Successfully built torchao pytorch_tokenizers 2025-06-05T23:17:27.0798950Z Installing collected packages: torchao, pytorch_tokenizers 2025-06-05T23:17:27.0799344Z [?25l 2025-06-05T23:17:27.0799720Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0/2 [torchao] 2025-06-05T23:17:27.0800236Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0/2 [torchao] 2025-06-05T23:17:27.0800741Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0/2 [torchao] 2025-06-05T23:17:27.0801332Z  ━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━ 1/2 [pytorch_tokenizers] 2025-06-05T23:17:27.0802011Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2/2 [pytorch_tokenizers] 2025-06-05T23:17:27.0802387Z [?25h 2025-06-05T23:17:27.0802836Z Successfully installed pytorch_tokenizers-0.1.0 torchao-0.12.0+gitbc68b11 2025-06-05T23:17:27.0803293Z + PYTHON_EXECUTABLE=python 2025-06-05T23:17:27.0803580Z + bash .ci/scripts/setup-qnn-deps.sh 2025-06-05T23:17:27.0803874Z + setup_libc++ 12 2025-06-05T23:17:27.0804087Z + clang_version=12 2025-06-05T23:17:27.0804313Z + sudo apt-get update 2025-06-05T23:17:27.0804459Z 2025-06-05T23:17:27.0804539Z 0% [Working] 2025-06-05T23:17:27.0804740Z 2025-06-05T23:17:27.0804999Z Hit:1 https://dl.yarnpkg.com/debian stable InRelease 2025-06-05T23:17:27.0805272Z 2025-06-05T23:17:27.0805503Z 0% [Connecting to archive.ubuntu.com (185.125.190.83)] [Connecting to security. 2025-06-05T23:17:27.0806036Z 2025-06-05T23:17:27.0806458Z Hit:2 https://deb.nodesource.com/node_16.x nodistro InRelease 2025-06-05T23:17:27.0806744Z 2025-06-05T23:17:27.0806864Z 2025-06-05T23:17:27.0807199Z 0% [Waiting for headers] [Waiting for headers] 2025-06-05T23:17:27.0807522Z 2025-06-05T23:17:27.0807938Z Get:3 http://security.ubuntu.com/ubuntu jammy-security InRelease [129 kB] 2025-06-05T23:17:27.0808283Z 2025-06-05T23:17:27.0808419Z 0% [Waiting for headers] [3 InRelease 2588 B/129 kB 2%] 2025-06-05T23:17:27.0808765Z 2025-06-05T23:17:27.0809116Z Hit:4 http://archive.ubuntu.com/ubuntu jammy InRelease 2025-06-05T23:17:27.0809371Z 2025-06-05T23:17:27.0809478Z 2025-06-05T23:17:27.0809775Z 0% [3 InRelease 2588 B/129 kB 2%] 2025-06-05T23:17:27.0810105Z 0% [Waiting for headers] [3 InRelease 14.2 kB/129 kB 11%] 2025-06-05T23:17:27.0810451Z 2025-06-05T23:17:27.0810883Z Get:5 http://archive.ubuntu.com/ubuntu jammy-updates InRelease [128 kB] 2025-06-05T23:17:27.0811208Z 2025-06-05T23:17:27.0811391Z 0% [5 InRelease 8380 B/128 kB 7%] [3 InRelease 22.9 kB/129 kB 18%] 2025-06-05T23:17:27.0811830Z 0% [5 InRelease 15.6 kB/128 kB 12%] [3 InRelease 34.4 kB/129 kB 27%] 2025-06-05T23:17:27.0812285Z 0% [5 InRelease 27.2 kB/128 kB 21%] [3 InRelease 66.3 kB/129 kB 51%] 2025-06-05T23:17:27.0812663Z 2025-06-05T23:17:27.0812977Z 0% [5 InRelease 59.1 kB/128 kB 46%] 2025-06-05T23:17:27.0813248Z 0% [5 InRelease 99.6 kB/128 kB 78%] 2025-06-05T23:17:27.0813519Z 2025-06-05T23:17:27.0813787Z 0% [Waiting for headers] 2025-06-05T23:17:27.0814018Z 2025-06-05T23:17:27.0814452Z Get:6 http://security.ubuntu.com/ubuntu jammy-security/universe amd64 Packages [1246 kB] 2025-06-05T23:17:27.0814851Z 2025-06-05T23:17:27.0815048Z 0% [Waiting for headers] [6 Packages 2655 B/1246 kB 0%] 2025-06-05T23:17:27.0815439Z 0% [Waiting for headers] [6 Packages 44.6 kB/1246 kB 4%] 2025-06-05T23:17:27.0815775Z 2025-06-05T23:17:27.0816213Z Get:7 http://archive.ubuntu.com/ubuntu jammy-backports InRelease [127 kB] 2025-06-05T23:17:27.0816547Z 2025-06-05T23:17:27.0816727Z 0% [7 InRelease 2588 B/127 kB 2%] [6 Packages 67.8 kB/1246 kB 5%] 2025-06-05T23:17:27.0817101Z 2025-06-05T23:17:27.0817421Z 0% [6 Packages 176 kB/1246 kB 14%] 2025-06-05T23:17:27.0817744Z 24% [Waiting for headers] [6 Packages 356 kB/1246 kB 29%] 2025-06-05T23:17:27.0818106Z 2025-06-05T23:17:27.0818628Z Get:8 http://archive.ubuntu.com/ubuntu jammy-updates/universe amd64 Packages [1553 kB] 2025-06-05T23:17:27.0819025Z 2025-06-05T23:17:27.0819192Z 25% [8 Packages 2655 B/1553 kB 0%] [6 Packages 425 kB/1246 kB 34%] 2025-06-05T23:17:27.0819577Z 2025-06-05T23:17:27.0819880Z 35% [8 Packages 314 kB/1553 kB 20%] 2025-06-05T23:17:27.0820273Z 35% [6 Packages store 0 B] [8 Packages 314 kB/1553 kB 20%] [Waiting for headers 2025-06-05T23:17:27.0820691Z 2025-06-05T23:17:27.0821060Z 37% [8 Packages 586 kB/1553 kB 38%] [Waiting for headers] 2025-06-05T23:17:27.0821395Z 2025-06-05T23:17:27.0821875Z Get:9 http://security.ubuntu.com/ubuntu jammy-security/main amd64 Packages [2984 kB] 2025-06-05T23:17:27.0822252Z 2025-06-05T23:17:27.0822425Z 38% [8 Packages 688 kB/1553 kB 44%] [9 Packages 6999 B/2984 kB 0%] 2025-06-05T23:17:27.0822793Z 2025-06-05T23:17:27.0823154Z 50% [Waiting for headers] [9 Packages 483 kB/2984 kB 16%] 2025-06-05T23:17:27.0823496Z 2025-06-05T23:17:27.0823963Z Get:10 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 Packages [3295 kB] 2025-06-05T23:17:27.0824336Z 2025-06-05T23:17:27.0824502Z 50% [10 Packages 15.9 kB/3295 kB 0%] [9 Packages 483 kB/2984 kB 16%] 2025-06-05T23:17:27.0824982Z 50% [8 Packages store 0 B] [10 Packages 15.9 kB/3295 kB 0%] [9 Packages 483 kB/ 2025-06-05T23:18:01.0479380Z 2025-06-05T23:18:01.0480058Z 66% [10 Packages 1438 kB/3295 kB 44%] [9 Packages 895 kB/2984 kB 30%] 2025-06-05T23:18:01.0480790Z 2025-06-05T23:18:01.0481305Z 82% [9 Packages 914 kB/2984 kB 31%] 2025-06-05T23:18:01.0481715Z 82% [10 Packages store 0 B] [9 Packages 914 kB/2984 kB 31%] 2025-06-05T23:18:01.0482250Z 2025-06-05T23:18:01.0482708Z 94% [9 Packages 2337 kB/2984 kB 78%] 2025-06-05T23:18:01.0483189Z 2025-06-05T23:18:01.0483588Z 100% [Working] 2025-06-05T23:18:01.0483939Z 100% [9 Packages store 0 B] 2025-06-05T23:18:01.0484340Z 2025-06-05T23:18:01.0484678Z 100% [Working] 2025-06-05T23:18:01.0484977Z 2025-06-05T23:18:01.0485312Z Fetched 9462 kB in 1s (6738 kB/s) 2025-06-05T23:18:01.0485666Z 2025-06-05T23:18:01.0485846Z Reading package lists... 0% 2025-06-05T23:18:01.0486152Z 2025-06-05T23:18:01.0486290Z Reading package lists... 0% 2025-06-05T23:18:01.0486514Z 2025-06-05T23:18:01.0486661Z Reading package lists... 0% 2025-06-05T23:18:01.0486902Z 2025-06-05T23:18:01.0487033Z Reading package lists... 4% 2025-06-05T23:18:01.0487196Z 2025-06-05T23:18:01.0487330Z Reading package lists... 4% 2025-06-05T23:18:01.0487562Z 2025-06-05T23:18:01.0487683Z Reading package lists... 4% 2025-06-05T23:18:01.0487918Z 2025-06-05T23:18:01.0488059Z Reading package lists... 4% 2025-06-05T23:18:01.0488264Z 2025-06-05T23:18:01.0488748Z Reading package lists... 45% 2025-06-05T23:18:01.0489005Z 2025-06-05T23:18:01.0489104Z Reading package lists... 45% 2025-06-05T23:18:01.0489272Z 2025-06-05T23:18:01.0489385Z Reading package lists... 46% 2025-06-05T23:18:01.0489624Z 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Done 2025-06-05T23:18:01.0498262Z 2025-06-05T23:18:01.0499031Z W: https://dl.yarnpkg.com/debian/dists/stable/InRelease: Key is stored in legacy trusted.gpg keyring (/etc/apt/trusted.gpg), see the DEPRECATION section in apt-key(8) for details. 2025-06-05T23:18:01.0500123Z + pkgs_to_check=("libc++-${clang_version}-dev") 2025-06-05T23:18:01.0500444Z + j=0 2025-06-05T23:18:01.0500658Z + '[' 0 -lt 1 ']' 2025-06-05T23:18:01.0500942Z ++ verify_pkg_installed libc++-12-dev 2025-06-05T23:18:01.0501359Z +++ dpkg-query -W '--showformat=${Status}\n' libc++-12-dev 2025-06-05T23:18:01.0501776Z +++ grep 'install ok installed' 2025-06-05T23:18:01.0502057Z ++ echo install ok installed 2025-06-05T23:18:01.0502367Z + install_status='install ok installed' 2025-06-05T23:18:01.0502753Z + '[' 'install ok installed' == '' ']' 2025-06-05T23:18:01.0503072Z + j=1 2025-06-05T23:18:01.0503308Z + '[' 1 -lt 1 ']' 2025-06-05T23:18:01.0503565Z + install_qnn 2025-06-05T23:18:01.0503831Z + echo 'Start installing qnn.' 2025-06-05T23:18:01.0504148Z Start installing qnn. 2025-06-05T23:18:01.0504421Z + QNN_INSTALLATION_DIR=/tmp/qnn 2025-06-05T23:18:01.0504754Z + mkdir -p /tmp/qnn 2025-06-05T23:18:01.0505677Z + curl -Lo /tmp/v2.28.0.24.10.29.zip https://softwarecenter.qualcomm.com/api/download/software/qualcomm_neural_processing_sdk/v2.28.0.241029.zip 2025-06-05T23:18:01.0506667Z % Total % Received % Xferd Average Speed Time Time Time Current 2025-06-05T23:18:01.0507161Z Dload Upload Total Spent Left Speed 2025-06-05T23:18:01.0507502Z 2025-06-05T23:18:01.0507635Z 0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0 2025-06-05T23:18:01.0508123Z 100 134 100 134 0 0 443 0 --:--:-- --:--:-- --:--:-- 445 2025-06-05T23:18:01.0508453Z 2025-06-05T23:18:01.0508599Z 0 954M 0 195k 0 0 206k 0 1:18:52 --:--:-- 1:18:52 206k 2025-06-05T23:18:01.0509054Z 5 954M 5 56.0M 0 0 29.1M 0 0:00:32 0:00:01 0:00:31 57.0M 2025-06-05T23:18:01.0509443Z 13 954M 13 131M 0 0 44.7M 0 0:00:21 0:00:02 0:00:19 66.0M 2025-06-05T23:18:01.0509983Z 21 954M 21 209M 0 0 53.3M 0 0:00:17 0:00:03 0:00:14 70.2M 2025-06-05T23:18:01.0510474Z 30 954M 30 288M 0 0 58.6M 0 0:00:16 0:00:04 0:00:12 72.5M 2025-06-05T23:18:01.0511054Z 38 954M 38 367M 0 0 61.8M 0 0:00:15 0:00:05 0:00:10 73.5M 2025-06-05T23:18:01.0511518Z 46 954M 46 445M 0 0 64.1M 0 0:00:14 0:00:06 0:00:08 77.6M 2025-06-05T23:18:01.0512067Z 54 954M 54 523M 0 0 65.9M 0 0:00:14 0:00:07 0:00:07 78.4M 2025-06-05T23:18:01.0512599Z 62 954M 62 601M 0 0 67.3M 0 0:00:14 0:00:08 0:00:06 78.4M 2025-06-05T23:18:01.0513090Z 71 954M 71 680M 0 0 68.5M 0 0:00:13 0:00:09 0:00:04 78.3M 2025-06-05T23:18:01.0513641Z 79 954M 79 758M 0 0 69.3M 0 0:00:13 0:00:10 0:00:03 78.1M 2025-06-05T23:18:01.0514098Z 86 954M 86 830M 0 0 69.5M 0 0:00:13 0:00:11 0:00:02 77.0M 2025-06-05T23:18:01.0514644Z 95 954M 95 909M 0 0 70.3M 0 0:00:13 0:00:12 0:00:01 77.3M 2025-06-05T23:18:01.0515166Z 100 954M 100 954M 0 0 70.7M 0 0:00:13 0:00:13 --:--:-- 77.2M 2025-06-05T23:18:01.0515626Z + echo 'Finishing downloading qnn sdk.' 2025-06-05T23:18:01.0516020Z Finishing downloading qnn sdk. 2025-06-05T23:18:01.0516372Z + unzip -qo /tmp/v2.28.0.24.10.29.zip -d /tmp 2025-06-05T23:18:01.0516786Z + echo 'Finishing unzip qnn sdk.' 2025-06-05T23:18:01.0517179Z Finishing unzip qnn sdk. 2025-06-05T23:18:01.0517483Z + ls -lah /tmp/qairt 2025-06-05T23:18:01.0517726Z total 16K 2025-06-05T23:18:01.0518027Z drwxrwxrwx. 3 ci-user ci-user 27 Oct 30 2024 . 2025-06-05T23:18:01.0518448Z drwxrwxrwt. 1 root root 58 Jun 5 23:17 .. 2025-06-05T23:18:01.0518978Z drwxrwxrwx. 9 ci-user ci-user 16K Oct 30 2024 2.28.0.241029 2025-06-05T23:18:01.0519511Z + mv /tmp/qairt/2.28.0.241029 /tmp/qnn 2025-06-05T23:18:01.0519836Z + echo 'Finishing installing qnn '\''/tmp/qnn'\'' .' 2025-06-05T23:18:01.0520192Z Finishing installing qnn '/tmp/qnn' . 2025-06-05T23:18:01.0520497Z + ls -lah /tmp/qnn 2025-06-05T23:18:01.0520702Z total 16K 2025-06-05T23:18:01.0520947Z drwxr-xr-x. 3 ci-user ci-user 27 Jun 5 23:17 . 2025-06-05T23:18:01.0521309Z drwxrwxrwt. 1 root root 58 Jun 5 23:17 .. 2025-06-05T23:18:01.0521715Z drwxrwxrwx. 9 ci-user ci-user 16K Oct 30 2024 2.28.0.241029 2025-06-05T23:18:01.0522083Z + PYTHON_EXECUTABLE=python 2025-06-05T23:18:01.0522361Z + bash .ci/scripts/build-qnn-sdk.sh 2025-06-05T23:18:01.0522638Z + set -o xtrace 2025-06-05T23:18:01.0522855Z + build_qnn_backend 2025-06-05T23:18:01.0523087Z + echo 'Start building qnn backend.' 2025-06-05T23:18:01.0523385Z Start building qnn backend. 2025-06-05T23:18:01.0523661Z + export ANDROID_NDK_ROOT=/opt/ndk 2025-06-05T23:18:01.0523935Z + ANDROID_NDK_ROOT=/opt/ndk 2025-06-05T23:18:01.0524215Z + export QNN_SDK_ROOT=/tmp/qnn/2.28.0.241029 2025-06-05T23:18:01.0524518Z + QNN_SDK_ROOT=/tmp/qnn/2.28.0.241029 2025-06-05T23:18:01.0524827Z +++ dirname -- .ci/scripts/build-qnn-sdk.sh 2025-06-05T23:18:01.0525136Z ++ cd -- .ci/scripts/../.. 2025-06-05T23:18:01.0525380Z ++ pwd 2025-06-05T23:18:01.0525604Z + export EXECUTORCH_ROOT=/pytorch/executorch 2025-06-05T23:18:01.0526053Z + EXECUTORCH_ROOT=/pytorch/executorch 2025-06-05T23:18:01.0526331Z ++ nproc 2025-06-05T23:18:01.0526537Z + parallelism=7 2025-06-05T23:18:01.0526937Z + bash backends/qualcomm/scripts/build.sh --skip_aarch64 --job_number 7 --release 2025-06-05T23:18:01.0527396Z + [[ -z /tmp/qnn/2.28.0.241029 ]] 2025-06-05T23:18:01.0527680Z + '[' --skip_aarch64 = -h ']' 2025-06-05T23:18:01.0527926Z + BUILD_X86_64=true 2025-06-05T23:18:01.0528149Z + CMAKE_X86_64=build-x86 2025-06-05T23:18:01.0528379Z + BUILD_AARCH64=true 2025-06-05T23:18:01.0528620Z + CMAKE_AARCH64=build-android 2025-06-05T23:18:01.0528863Z + CLEAN=true 2025-06-05T23:18:01.0529080Z + BUILD_TYPE=RelWithDebInfo 2025-06-05T23:18:01.0529329Z + BUILD_JOB_NUMBER=16 2025-06-05T23:18:01.0529574Z + '[' -z PYTHON_EXECUTABLE ']' 2025-06-05T23:18:01.0529837Z + '[' -z BUCK2 ']' 2025-06-05T23:18:01.0530220Z + long_options=skip_x86_64,skip_aarch64,no_clean,release,job_number: 2025-06-05T23:18:01.0531147Z ++ getopt -a --options '' --longoptions skip_x86_64,skip_aarch64,no_clean,release,job_number: --name backends/qualcomm/scripts/build.sh -- --skip_aarch64 --job_number 7 --release 2025-06-05T23:18:01.0532036Z + parsed_args=' --skip_aarch64 --job_number '\''7'\'' --release --' 2025-06-05T23:18:01.0532505Z + eval set -- ' --skip_aarch64 --job_number '\''7'\'' --release --' 2025-06-05T23:18:01.0532911Z ++ set -- --skip_aarch64 --job_number 7 --release -- 2025-06-05T23:18:01.0533236Z + true 2025-06-05T23:18:01.0533432Z + case "$1" in 2025-06-05T23:18:01.0533636Z + BUILD_AARCH64=false 2025-06-05T23:18:01.0533867Z + shift 2025-06-05T23:18:01.0534039Z + true 2025-06-05T23:18:01.0534227Z + case "$1" in 2025-06-05T23:18:01.0534427Z + BUILD_JOB_NUMBER=7 2025-06-05T23:18:01.0534645Z + shift 2 2025-06-05T23:18:01.0534820Z + true 2025-06-05T23:18:01.0535008Z + case "$1" in 2025-06-05T23:18:01.0535208Z + BUILD_TYPE=Release 2025-06-05T23:18:01.0535431Z + shift 2025-06-05T23:18:01.0535605Z + true 2025-06-05T23:18:01.0535795Z + case "$1" in 2025-06-05T23:18:01.0535987Z + shift 2025-06-05T23:18:01.0536180Z + break 2025-06-05T23:18:01.0536400Z +++ dirname backends/qualcomm/scripts/build.sh 2025-06-05T23:18:01.0536746Z ++ cd backends/qualcomm/scripts/../../.. 2025-06-05T23:18:01.0537049Z ++ pwd -P 2025-06-05T23:18:01.0537264Z + PRJ_ROOT=/pytorch/executorch 2025-06-05T23:18:01.0537537Z + '[' false = true ']' 2025-06-05T23:18:01.0537758Z + '[' true = true ']' 2025-06-05T23:18:01.0538020Z + BUILD_ROOT=/pytorch/executorch/build-x86 2025-06-05T23:18:01.0538317Z + '[' true = true ']' 2025-06-05T23:18:01.0538573Z + rm -rf /pytorch/executorch/build-x86 2025-06-05T23:18:01.0538882Z + mkdir /pytorch/executorch/build-x86 2025-06-05T23:18:01.0539197Z + cd /pytorch/executorch/build-x86 2025-06-05T23:18:01.0540988Z + cmake -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=/pytorch/executorch/build-x86 -DQNN_SDK_ROOT=/tmp/qnn/2.28.0.241029 -DEXECUTORCH_BUILD_QNN=ON -DEXECUTORCH_BUILD_DEVTOOLS=ON -DEXECUTORCH_BUILD_EXTENSION_MODULE=ON -DEXECUTORCH_BUILD_KERNELS_QUANTIZED=ON -DEXECUTORCH_BUILD_EXTENSION_TENSOR=ON -DEXECUTORCH_ENABLE_EVENT_TRACER=ON -DPYTHON_EXECUTABLE=python -S /pytorch/executorch -B /pytorch/executorch/build-x86 2025-06-05T23:18:01.0542806Z -- The C compiler identification is Clang 12.0.1 2025-06-05T23:18:01.0543185Z -- The CXX compiler identification is Clang 12.0.1 2025-06-05T23:18:01.0543524Z -- Detecting C compiler ABI info 2025-06-05T23:18:01.0543828Z -- Detecting C compiler ABI info - done 2025-06-05T23:18:01.0544213Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2025-06-05T23:18:01.0544584Z -- Detecting C compile features 2025-06-05T23:18:01.0544879Z -- Detecting C compile features - done 2025-06-05T23:18:01.0545178Z -- Detecting CXX compiler ABI info 2025-06-05T23:18:01.0545486Z -- Detecting CXX compiler ABI info - done 2025-06-05T23:18:01.0545864Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2025-06-05T23:18:01.0546259Z -- Detecting CXX compile features 2025-06-05T23:18:01.0546551Z -- Detecting CXX compile features - done 2025-06-05T23:18:01.0546865Z -- --- Configured Options --- 2025-06-05T23:18:01.0547147Z 2025-06-05T23:18:01.0547277Z -- CMAKE_CXX_STANDARD : 17 2025-06-05T23:18:01.0547612Z -- CMAKE_SYSTEM_PROCESSOR : x86_64 2025-06-05T23:18:01.0547973Z -- CMAKE_BUILD_TYPE : Release 2025-06-05T23:18:01.0548324Z -- PYTHON_EXECUTABLE : python 2025-06-05T23:18:01.0548683Z -- CMAKE_CXX_COMPILER_ID : Clang 2025-06-05T23:18:01.0549029Z -- CMAKE_TOOLCHAIN_FILE x (unset) 2025-06-05T23:18:01.0549382Z -- BUCK2 x (unset) 2025-06-05T23:18:01.0549718Z -- EXECUTORCH_ENABLE_LOGGING : OFF 2025-06-05T23:18:01.0550072Z -- EXECUTORCH_BUILD_COREML : OFF 2025-06-05T23:18:01.0550435Z -- EXECUTORCH_FLATBUFFERS_MAX_ALIGNMENT : 1024 2025-06-05T23:18:01.0551003Z -- EXECUTORCH_PAL_DEFAULT : posix 2025-06-05T23:18:01.0551550Z -- EXECUTORCH_PAL_DEFAULT_FILE_PATH : /pytorch/executorch/runtime/platform/default/posix.cpp 2025-06-05T23:18:01.0552078Z -- EXECUTORCH_LOG_LEVEL : Info 2025-06-05T23:18:07.7730168Z -- EXECUTORCH_ENABLE_PROGRAM_VERIFICATION : OFF 2025-06-05T23:18:07.7730797Z -- EXECUTORCH_ENABLE_EVENT_TRACER : ON 2025-06-05T23:18:07.7731300Z -- EXECUTORCH_OPTIMIZE_SIZE : OFF 2025-06-05T23:18:07.7731808Z -- EXECUTORCH_BUILD_ARM_BAREMETAL : OFF 2025-06-05T23:18:07.7732331Z -- EXECUTORCH_BUILD_KERNELS_CUSTOM : OFF 2025-06-05T23:18:07.7732700Z -- EXECUTORCH_BUILD_KERNELS_CUSTOM_AOT : OFF 2025-06-05T23:18:07.7733094Z -- EXECUTORCH_BUILD_KERNELS_QUANTIZED_AOT : OFF 2025-06-05T23:18:07.7733479Z -- EXECUTORCH_BUILD_EXTENSION_DATA_LOADER : OFF 2025-06-05T23:18:07.7733946Z -- EXECUTORCH_BUILD_EXTENSION_FLAT_TENSOR : OFF 2025-06-05T23:18:07.7734503Z -- EXECUTORCH_BUILD_EXTENSION_LLM : OFF 2025-06-05T23:18:07.7735025Z -- EXECUTORCH_BUILD_EXTENSION_MODULE : ON 2025-06-05T23:18:07.7735633Z -- EXECUTORCH_BUILD_EXTENSION_RUNNER_UTIL : OFF 2025-06-05T23:18:07.7736040Z -- EXECUTORCH_BUILD_EXTENSION_TENSOR : ON 2025-06-05T23:18:07.7736402Z -- EXECUTORCH_BUILD_EXTENSION_TRAINING : OFF 2025-06-05T23:18:07.7736820Z -- EXECUTORCH_BUILD_EXTENSION_APPLE : OFF 2025-06-05T23:18:07.7737160Z -- EXECUTORCH_BUILD_MPS : OFF 2025-06-05T23:18:07.7737561Z -- EXECUTORCH_BUILD_NEURON : OFF 2025-06-05T23:18:07.7737898Z -- EXECUTORCH_BUILD_OPENVINO : OFF 2025-06-05T23:18:07.7738302Z -- EXECUTORCH_BUILD_PYBIND : OFF 2025-06-05T23:18:07.7738633Z -- EXECUTORCH_BUILD_QNN : ON 2025-06-05T23:18:07.7739036Z -- EXECUTORCH_BUILD_KERNELS_OPTIMIZED : OFF 2025-06-05T23:18:07.7739379Z -- EXECUTORCH_BUILD_KERNELS_QUANTIZED : ON 2025-06-05T23:18:07.7739797Z -- EXECUTORCH_BUILD_DEVTOOLS : ON 2025-06-05T23:18:07.7740143Z -- EXECUTORCH_BUILD_TESTS : OFF 2025-06-05T23:18:07.7740527Z -- EXECUTORCH_NNLIB_OPT : OFF 2025-06-05T23:18:07.7740879Z -- EXECUTORCH_CADENCE_CPU_RUNNER : OFF 2025-06-05T23:18:07.7741253Z -- EXECUTORCH_BUILD_SIZE_TEST : OFF 2025-06-05T23:18:07.7741612Z -- EXECUTORCH_BUILD_XNNPACK : OFF 2025-06-05T23:18:07.7741962Z -- EXECUTORCH_BUILD_VULKAN : OFF 2025-06-05T23:18:07.7742353Z -- EXECUTORCH_BUILD_PORTABLE_OPS : ON 2025-06-05T23:18:07.7742684Z -- EXECUTORCH_USE_DL : ON 2025-06-05T23:18:07.7743079Z -- EXECUTORCH_BUILD_CADENCE : OFF 2025-06-05T23:18:07.7743426Z -- EXECUTORCH_BUILD_CORTEX_M : OFF 2025-06-05T23:18:07.7743815Z -- EXECUTORCH_BUILD_GFLAGS : ON 2025-06-05T23:18:07.7744165Z -- EXECUTORCH_COREML_BUILD_EXECUTOR_RUNNER : OFF 2025-06-05T23:18:07.7744565Z -- EXECUTORCH_BUILD_PTHREADPOOL : ON 2025-06-05T23:18:07.7744917Z -- EXECUTORCH_BUILD_CPUINFO : ON 2025-06-05T23:18:07.7745305Z -- EXECUTORCH_BUILD_EXECUTOR_RUNNER : ON 2025-06-05T23:18:07.7745945Z -- EXECUTORCH_XNNPACK_SHARED_WORKSPACE : ON 2025-06-05T23:18:07.7746305Z -- EXECUTORCH_XNNPACK_ENABLE_KLEIDI : OFF 2025-06-05T23:18:07.7746721Z -- EXECUTORCH_XNNPACK_ENABLE_WEIGHT_CACHE : OFF 2025-06-05T23:18:07.7747053Z -- -------------------------- 2025-06-05T23:18:07.7747523Z -- Using the multi-header code from /pytorch/executorch/third-party/json/include/ 2025-06-05T23:18:07.7748514Z CMake Deprecation Warning at third-party/flatcc/CMakeLists.txt:2 (cmake_minimum_required): 2025-06-05T23:18:07.7749208Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-06-05T23:18:07.7749674Z CMake. 2025-06-05T23:18:07.7749792Z 2025-06-05T23:18:07.7750036Z Update the VERSION argument value. Or, use the ... syntax 2025-06-05T23:18:07.7750827Z to tell CMake that the project requires at least but has been updated 2025-06-05T23:18:07.7751366Z to work with policies introduced by or earlier. 2025-06-05T23:18:07.7751618Z 2025-06-05T23:18:07.7751734Z  2025-06-05T23:18:07.7752074Z -- dist install dir /pytorch/executorch/third-party/flatcc 2025-06-05T23:18:07.7752528Z -- lib install dir /pytorch/executorch/third-party/flatcc/lib 2025-06-05T23:18:07.7752966Z -- Setting Clang compiler options 2025-06-05T23:18:07.7753728Z -- Configured C_FLAGS: -DFLATCC_REFLECTION=0 -Wstrict-prototypes -Wsign-conversion -Wconversion -std=c11 -pedantic -Wall -Wextra -Werror 2025-06-05T23:18:07.7754930Z CMake Deprecation Warning at backends/xnnpack/third-party/FXdiv/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED): 2025-06-05T23:18:07.7755695Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-06-05T23:18:07.7756166Z CMake. 2025-06-05T23:18:07.7756276Z 2025-06-05T23:18:07.7756527Z Update the VERSION argument value. Or, use the ... syntax 2025-06-05T23:18:07.7757104Z to tell CMake that the project requires at least but has been updated 2025-06-05T23:18:07.7757630Z to work with policies introduced by or earlier. 2025-06-05T23:18:07.7757898Z 2025-06-05T23:18:07.7758018Z  2025-06-05T23:18:07.7758663Z CMake Deprecation Warning at backends/xnnpack/third-party/cpuinfo/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED): 2025-06-05T23:18:07.7759435Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-06-05T23:18:07.7759908Z CMake. 2025-06-05T23:18:07.7760017Z 2025-06-05T23:18:07.7760230Z Update the VERSION argument value. Or, use the ... syntax 2025-06-05T23:18:07.7760838Z to tell CMake that the project requires at least but has been updated 2025-06-05T23:18:07.7761372Z to work with policies introduced by or earlier. 2025-06-05T23:18:07.7761620Z 2025-06-05T23:18:07.7761722Z  2025-06-05T23:18:07.7762000Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD 2025-06-05T23:18:07.7762369Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success 2025-06-05T23:18:07.7762766Z -- Found Threads: TRUE 2025-06-05T23:18:07.7763480Z CMake Deprecation Warning at backends/xnnpack/third-party/pthreadpool/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED): 2025-06-05T23:18:07.7764285Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-06-05T23:18:07.7764680Z CMake. 2025-06-05T23:18:07.7764798Z 2025-06-05T23:18:07.7765068Z Update the VERSION argument value. Or, use the ... syntax 2025-06-05T23:18:07.7765611Z to tell CMake that the project requires at least but has been updated 2025-06-05T23:18:07.7766130Z to work with policies introduced by or earlier. 2025-06-05T23:18:07.7766388Z 2025-06-05T23:18:07.7766484Z  2025-06-05T23:18:07.7766729Z -- Resolved buck2 as buck2. 2025-06-05T23:18:07.7766995Z -- Killing buck2 daemon 2025-06-05T23:18:07.7767226Z 'buck2 killall' 2025-06-05T23:18:07.7767469Z -- executorch: Generating source lists 2025-06-05T23:18:07.7768008Z -- executorch: Generating source file list /pytorch/executorch/build-x86/executorch_srcs.cmake 2025-06-05T23:18:07.7768834Z -- executorch: Using sources file /pytorch/executorch/build-x86/executorch_srcs.cmake 2025-06-05T23:18:07.7769317Z -- Generating operator lib: 2025-06-05T23:18:07.7769578Z -- LIB_NAME: portable_ops_lib 2025-06-05T23:18:07.7769977Z -- OPS_SCHEMA_YAML: /pytorch/executorch/kernels/portable/functions.yaml 2025-06-05T23:18:07.7770439Z -- ROOT_OPS: 2025-06-05T23:18:07.7770663Z -- INCLUDE_ALL_OPS: 2025-06-05T23:18:07.7771923Z Command - python;-m;codegen.tools.gen_oplist;--output_path=/pytorch/executorch/build-x86/kernels/portable/portable_ops_lib/selected_operators.yaml;--ops_schema_yaml_path="/pytorch/executorch/kernels/portable/functions.yaml" 2025-06-05T23:18:07.7773258Z -- Generating kernel bindings: 2025-06-05T23:18:07.7773541Z -- LIB_NAME: portable_ops_lib 2025-06-05T23:18:07.7773935Z -- FUNCTIONS_YAML: /pytorch/executorch/kernels/portable/functions.yaml 2025-06-05T23:18:07.7774530Z -- CUSTOM_OPS_YAML: 2025-06-05T23:18:07.7774775Z -- ADD_EXCEPTION_BOUNDARY: FALSE 2025-06-05T23:18:07.7776503Z Generated files /pytorch/executorch/build-x86/kernels/portable/portable_ops_lib/RegisterCodegenUnboxedKernelsEverything.cpp;/pytorch/executorch/build-x86/kernels/portable/portable_ops_lib/Functions.h;/pytorch/executorch/build-x86/kernels/portable/portable_ops_lib/NativeFunctions.h 2025-06-05T23:18:07.7777989Z -- Generating operator lib: 2025-06-05T23:18:07.7778254Z -- LIB_NAME: portable_ops_lib 2025-06-05T23:18:07.7778540Z -- KERNEL_LIBS: portable_kernels 2025-06-05T23:18:07.7778817Z -- DEPS: executorch_core 2025-06-05T23:18:07.7779391Z CMake Deprecation Warning at third-party/gflags/CMakeLists.txt:73 (cmake_minimum_required): 2025-06-05T23:18:07.7780029Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-06-05T23:18:07.7780441Z CMake. 2025-06-05T23:18:07.7780549Z 2025-06-05T23:18:07.7780780Z Update the VERSION argument value. Or, use the ... syntax 2025-06-05T23:18:07.7781382Z to tell CMake that the project requires at least but has been updated 2025-06-05T23:18:07.7781861Z to work with policies introduced by or earlier. 2025-06-05T23:18:07.7782111Z 2025-06-05T23:18:07.7782210Z  2025-06-05T23:18:07.7782420Z -- Looking for C++ include unistd.h 2025-06-05T23:18:07.7782721Z -- Looking for C++ include unistd.h - found 2025-06-05T23:18:07.7783041Z -- Looking for C++ include stdint.h 2025-06-05T23:18:07.7783333Z -- Looking for C++ include stdint.h - found 2025-06-05T23:18:07.7783651Z -- Looking for C++ include inttypes.h 2025-06-05T23:18:07.7783974Z -- Looking for C++ include inttypes.h - found 2025-06-05T23:18:07.7784291Z -- Looking for C++ include sys/types.h 2025-06-05T23:18:07.7784611Z -- Looking for C++ include sys/types.h - found 2025-06-05T23:18:07.7784925Z -- Looking for C++ include sys/stat.h 2025-06-05T23:18:07.7785239Z -- Looking for C++ include sys/stat.h - found 2025-06-05T23:18:07.7785552Z -- Looking for C++ include fnmatch.h 2025-06-05T23:18:07.7785862Z -- Looking for C++ include fnmatch.h - found 2025-06-05T23:18:07.7786173Z -- Looking for C++ include stddef.h 2025-06-05T23:18:07.7786475Z -- Looking for C++ include stddef.h - found 2025-06-05T23:18:07.7786781Z -- Check size of uint32_t 2025-06-05T23:18:07.7787032Z -- Check size of uint32_t - done 2025-06-05T23:18:07.7787303Z -- Looking for strtoll 2025-06-05T23:18:07.7787538Z -- Looking for strtoll - found 2025-06-05T23:18:07.7787829Z -- Using qnn sdk root /tmp/qnn/2.28.0.241029 2025-06-05T23:18:07.7788167Z -- Using EXECUTORCH_SOURCE_DIR /pytorch/executorch 2025-06-05T23:18:07.7788841Z CMake Deprecation Warning at third-party/pybind11/CMakeLists.txt:13 (cmake_minimum_required): 2025-06-05T23:18:07.7789488Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-06-05T23:18:07.7789894Z CMake. 2025-06-05T23:18:07.7790002Z 2025-06-05T23:18:07.7790227Z Update the VERSION argument value. Or, use the ... syntax 2025-06-05T23:18:07.7790842Z to tell CMake that the project requires at least but has been updated 2025-06-05T23:18:07.7791547Z to work with policies introduced by or earlier. 2025-06-05T23:18:07.7791906Z 2025-06-05T23:18:07.7792066Z  2025-06-05T23:18:07.7792297Z -- pybind11 v2.13.6 2025-06-05T23:18:07.7792726Z -- Found PythonInterp: python (found suitable version "3.10.16", minimum required is "3.7") 2025-06-05T23:18:07.7793324Z -- Found PythonLibs: /opt/conda/envs/py_3.10/lib/libpython3.10.so 2025-06-05T23:18:07.7793733Z -- Performing Test HAS_FLTO_THIN 2025-06-05T23:18:07.7794024Z -- Performing Test HAS_FLTO_THIN - Success 2025-06-05T23:18:07.7794381Z -- Generating operator lib: 2025-06-05T23:18:07.7794673Z -- LIB_NAME: quantized_ops_lib 2025-06-05T23:18:07.7795075Z -- OPS_SCHEMA_YAML: /pytorch/executorch/kernels/quantized/quantized.yaml 2025-06-05T23:18:07.7795479Z -- ROOT_OPS: 2025-06-05T23:18:07.7795789Z -- INCLUDE_ALL_OPS: 2025-06-05T23:18:07.7797059Z Command - python;-m;codegen.tools.gen_oplist;--output_path=/pytorch/executorch/build-x86/kernels/quantized/quantized_ops_lib/selected_operators.yaml;--ops_schema_yaml_path="/pytorch/executorch/kernels/quantized/quantized.yaml" 2025-06-05T23:18:07.7798201Z -- Generating kernel bindings: 2025-06-05T23:18:07.7798487Z -- LIB_NAME: quantized_ops_lib 2025-06-05T23:18:07.7798754Z -- FUNCTIONS_YAML: 2025-06-05T23:18:07.7799123Z -- CUSTOM_OPS_YAML: /pytorch/executorch/kernels/quantized/quantized.yaml 2025-06-05T23:18:07.7799548Z -- ADD_EXCEPTION_BOUNDARY: FALSE 2025-06-05T23:18:08.8122403Z Generated files /pytorch/executorch/build-x86/kernels/quantized/quantized_ops_lib/RegisterCodegenUnboxedKernelsEverything.cpp;/pytorch/executorch/build-x86/kernels/quantized/quantized_ops_lib/Functions.h;/pytorch/executorch/build-x86/kernels/quantized/quantized_ops_lib/NativeFunctions.h;/pytorch/executorch/build-x86/kernels/quantized/quantized_ops_lib/RegisterCPUCustomOps.cpp;/pytorch/executorch/build-x86/kernels/quantized/quantized_ops_lib/RegisterSchema.cpp;/pytorch/executorch/build-x86/kernels/quantized/quantized_ops_lib/CustomOpsNativeFunctions.h 2025-06-05T23:18:08.8127255Z -- Generating operator lib: 2025-06-05T23:18:08.8127688Z -- LIB_NAME: quantized_ops_lib 2025-06-05T23:18:08.8128170Z -- KERNEL_LIBS: quantized_kernels 2025-06-05T23:18:08.8128631Z -- DEPS: executorch_core 2025-06-05T23:18:08.8129043Z -- Configuring done (8.1s) 2025-06-05T23:18:08.8129460Z -- Generating done (0.2s) 2025-06-05T23:18:08.8130038Z -- Build files have been written to: /pytorch/executorch/build-x86 2025-06-05T23:18:08.8130929Z + cmake --build /pytorch/executorch/build-x86 -j7 --target install 2025-06-05T23:18:08.8132109Z [ 0%] Creating directories for 'flatbuffers_external_project' 2025-06-05T23:18:08.8133685Z [ 0%] Building C object backends/xnnpack/third-party/pthreadpool/CMakeFiles/pthreadpool.dir/src/legacy-api.c.o 2025-06-05T23:18:08.8135148Z [ 1%] Creating directories for 'flatcc_external_project' 2025-06-05T23:18:08.8136660Z [ 2%] Building C object backends/xnnpack/third-party/pthreadpool/CMakeFiles/pthreadpool.dir/src/portable-api.c.o 2025-06-05T23:18:08.8138206Z [ 2%] Building CXX object third-party/gflags/CMakeFiles/gflags_nothreads_static.dir/src/gflags.cc.o 2025-06-05T23:18:08.8139821Z [ 2%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/api.c.o 2025-06-05T23:18:08.8141555Z [ 2%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/api.c.o 2025-06-05T23:18:08.8142730Z [ 2%] No download step for 'flatcc_external_project' 2025-06-05T23:18:08.8143691Z [ 2%] No download step for 'flatbuffers_external_project' 2025-06-05T23:18:08.8144610Z [ 2%] No update step for 'flatcc_external_project' 2025-06-05T23:18:08.8145466Z [ 2%] No update step for 'flatbuffers_external_project' 2025-06-05T23:18:08.8146253Z [ 2%] No patch step for 'flatcc_external_project' 2025-06-05T23:18:08.8147084Z [ 2%] No patch step for 'flatbuffers_external_project' 2025-06-05T23:18:08.8148301Z [ 2%] Performing configure step for 'flatcc_external_project' 2025-06-05T23:18:08.8149378Z [ 2%] Performing configure step for 'flatbuffers_external_project' 2025-06-05T23:18:08.8150064Z CMake Warning: 2025-06-05T23:18:08.8150480Z Ignoring empty string ("") provided on the command line. 2025-06-05T23:18:08.8151098Z 2025-06-05T23:18:08.8151262Z  2025-06-05T23:18:08.8151589Z CMake Warning: 2025-06-05T23:18:08.8152015Z Ignoring empty string ("") provided on the command line. 2025-06-05T23:18:08.8152414Z 2025-06-05T23:18:08.8152574Z  2025-06-05T23:18:08.8153153Z CMake Deprecation Warning at CMakeLists.txt:2 (cmake_minimum_required): 2025-06-05T23:18:08.8154037Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-06-05T23:18:08.8155155Z CMake. 2025-06-05T23:18:08.8155346Z 2025-06-05T23:18:08.8156472Z Update the VERSION argument value. Or, use the ... syntax 2025-06-05T23:18:08.8157528Z to tell CMake that the project requires at least but has been updated 2025-06-05T23:18:08.8158321Z to work with policies introduced by or earlier. 2025-06-05T23:18:08.8158721Z 2025-06-05T23:18:08.8158979Z  2025-06-05T23:18:08.8159338Z fatal: No names found, cannot describe anything. 2025-06-05T23:18:08.8159942Z CMake Warning at CMake/Version.cmake:32 (message): 2025-06-05T23:18:08.8160358Z git describe failed with exit code: 128 2025-06-05T23:18:08.8160683Z 2025-06-05T23:18:08.8160872Z Make sure you cloned with tags or run 'git fetch --tags'. 2025-06-05T23:18:08.8161345Z Call Stack (most recent call first): 2025-06-05T23:18:08.8161888Z CMakeLists.txt:5 (include) 2025-06-05T23:18:08.8162110Z 2025-06-05T23:18:08.8162241Z  2025-06-05T23:18:08.8162443Z -- Proceeding with version: 24.3.25.0 2025-06-05T23:18:08.8162803Z -- The C compiler identification is Clang 12.0.1 2025-06-05T23:18:08.8163301Z -- Detecting C compiler ABI info 2025-06-05T23:18:08.8164202Z [ 2%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/cache.c.o 2025-06-05T23:18:08.8165522Z [ 2%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/cache.c.o 2025-06-05T23:18:08.8166494Z [ 2%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/init.c.o 2025-06-05T23:18:08.8167581Z [ 2%] Building C object backends/xnnpack/third-party/pthreadpool/CMakeFiles/pthreadpool.dir/src/memory.c.o 2025-06-05T23:18:08.8168252Z -- The CXX compiler identification is Clang 12.0.1 2025-06-05T23:18:08.8169078Z [ 2%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/init.c.o 2025-06-05T23:18:08.8170127Z [ 3%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/log.c.o 2025-06-05T23:18:08.8170802Z -- Detecting CXX compiler ABI info 2025-06-05T23:18:08.8171691Z [ 3%] Building C object 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/pytorch/executorch/build-x86/include/executorch/kernels/quantized/NativeFunctions.h 2025-06-05T23:18:27.7596651Z + rm -f '/pytorch/executorch/backends/qualcomm/python/*' 2025-06-05T23:18:27.7599166Z + cp -fv /pytorch/executorch/build-x86/backends/qualcomm/PyQnnManagerAdaptor.cpython-310-x86_64-linux-gnu.so /pytorch/executorch/build-x86/backends/qualcomm/PyQnnWrapperAdaptor.cpython-310-x86_64-linux-gnu.so /pytorch/executorch/backends/qualcomm/python 2025-06-05T23:18:27.7603141Z '/pytorch/executorch/build-x86/backends/qualcomm/PyQnnManagerAdaptor.cpython-310-x86_64-linux-gnu.so' -> '/pytorch/executorch/backends/qualcomm/python/PyQnnManagerAdaptor.cpython-310-x86_64-linux-gnu.so' 2025-06-05T23:18:27.7606622Z '/pytorch/executorch/build-x86/backends/qualcomm/PyQnnWrapperAdaptor.cpython-310-x86_64-linux-gnu.so' -> '/pytorch/executorch/backends/qualcomm/python/PyQnnWrapperAdaptor.cpython-310-x86_64-linux-gnu.so' 2025-06-05T23:18:27.7609002Z + cp -fv /pytorch/executorch/schema/program.fbs /pytorch/executorch/exir/_serialize/program.fbs 2025-06-05T23:18:27.7610310Z '/pytorch/executorch/schema/program.fbs' -> '/pytorch/executorch/exir/_serialize/program.fbs' 2025-06-05T23:18:27.7612168Z + cp -fv /pytorch/executorch/schema/scalar_type.fbs /pytorch/executorch/exir/_serialize/scalar_type.fbs 2025-06-05T23:18:27.7614543Z '/pytorch/executorch/schema/scalar_type.fbs' -> '/pytorch/executorch/exir/_serialize/scalar_type.fbs' 2025-06-05T23:18:27.7615628Z + EXAMPLE_ROOT=examples/qualcomm 2025-06-05T23:18:27.7616748Z + CMAKE_PREFIX_PATH='/pytorch/executorch/build-x86/lib/cmake/ExecuTorch;/pytorch/executorch/build-x86/third-party/gflags;' 2025-06-05T23:18:27.7617923Z + echo 'Update tokenizers submodule...' 2025-06-05T23:18:27.7618498Z Update tokenizers submodule... 2025-06-05T23:18:27.7619077Z + pushd /pytorch/executorch/extension/llm/tokenizers 2025-06-05T23:18:27.7619960Z /pytorch/executorch/extension/llm/tokenizers /pytorch/executorch/build-x86 2025-06-05T23:18:27.7620771Z + git submodule update --init 2025-06-05T23:18:27.7621225Z + popd 2025-06-05T23:18:27.7621575Z /pytorch/executorch/build-x86 2025-06-05T23:18:27.7624065Z + cmake /pytorch/executorch/examples/qualcomm -DCMAKE_BUILD_TYPE=Release '-DCMAKE_PREFIX_PATH=/pytorch/executorch/build-x86/lib/cmake/ExecuTorch;/pytorch/executorch/build-x86/third-party/gflags;' -DCMAKE_FIND_ROOT_PATH_MODE_PACKAGE=BOTH -DPYTHON_EXECUTABLE=python -Bexamples/qualcomm 2025-06-05T23:18:27.7627014Z -- The C compiler identification is Clang 12.0.1 2025-06-05T23:18:27.7627683Z -- The CXX compiler identification is Clang 12.0.1 2025-06-05T23:18:27.7628293Z -- Detecting C compiler ABI info 2025-06-05T23:18:27.7628822Z -- Detecting C compiler ABI info - done 2025-06-05T23:18:27.7629514Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2025-06-05T23:18:27.7630201Z -- Detecting C compile features 2025-06-05T23:18:27.7630688Z -- Detecting C compile features - done 2025-06-05T23:18:27.7631310Z -- Detecting CXX compiler ABI info 2025-06-05T23:18:27.7631834Z -- Detecting CXX compiler ABI info - done 2025-06-05T23:18:27.7632500Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2025-06-05T23:18:27.7633172Z -- Detecting CXX compile features 2025-06-05T23:18:27.7633771Z -- Detecting CXX compile features - done 2025-06-05T23:18:27.7634790Z CMake Warning (dev) at CMakeLists.txt:31 (find_package): 2025-06-05T23:18:27.7635712Z Policy CMP0144 is not set: find_package uses upper-case _ROOT 2025-06-05T23:18:27.7636772Z variables. Run "cmake --help-policy CMP0144" for policy details. Use the 2025-06-05T23:18:27.7637754Z cmake_policy command to set the policy and suppress this warning. 2025-06-05T23:18:27.7638342Z 2025-06-05T23:18:27.7638576Z CMake variable EXECUTORCH_ROOT is set to: 2025-06-05T23:18:27.7638980Z 2025-06-05T23:18:27.7639212Z /pytorch/executorch/examples/qualcomm/../.. 2025-06-05T23:18:27.7639664Z 2025-06-05T23:18:27.7639908Z Environment variable EXECUTORCH_ROOT is set to: 2025-06-05T23:18:27.7640370Z 2025-06-05T23:18:27.7640536Z /pytorch/executorch 2025-06-05T23:18:27.7640835Z 2025-06-05T23:18:27.7641251Z For compatibility, find_package is ignoring the variable, but code in a 2025-06-05T23:18:27.7642099Z .cmake module might still use it. 2025-06-05T23:18:27.7642848Z This warning is for project developers. Use -Wno-dev to suppress it. 2025-06-05T23:18:27.7643664Z  2025-06-05T23:18:27.7644134Z coreml_util library is not found. 2025-06-05T23:18:27.7645023Z If needed rebuild with the proper options in CMakeLists.txt 2025-06-05T23:18:27.7645922Z coreml_inmemoryfs library is not found. 2025-06-05T23:18:27.7646720Z If needed rebuild with the proper options in CMakeLists.txt 2025-06-05T23:18:27.7647479Z coremldelegate library is not found. 2025-06-05T23:18:27.7648259Z If needed rebuild with the proper options in CMakeLists.txt 2025-06-05T23:18:27.7649070Z mpsdelegate library is not found. 2025-06-05T23:18:27.7649889Z If needed rebuild with the proper options in CMakeLists.txt 2025-06-05T23:18:27.7650667Z neuron_backend library is not found. 2025-06-05T23:18:27.7651496Z If needed rebuild with the proper options in CMakeLists.txt 2025-06-05T23:18:27.7652302Z custom_ops library is not found. 2025-06-05T23:18:27.7653097Z If needed rebuild with the proper options in CMakeLists.txt 2025-06-05T23:18:27.7654170Z extension_runner_util library is not found. 2025-06-05T23:18:27.7655128Z If needed rebuild with the proper options in CMakeLists.txt 2025-06-05T23:18:27.7656012Z extension_training library is not found. 2025-06-05T23:18:27.7656882Z If needed rebuild with the proper options in CMakeLists.txt 2025-06-05T23:18:27.7657712Z xnnpack_backend library is not found. 2025-06-05T23:18:27.7658540Z If needed rebuild with the proper options in CMakeLists.txt 2025-06-05T23:18:27.7659322Z XNNPACK library is not found. 2025-06-05T23:18:27.7660108Z If needed rebuild with the proper options in CMakeLists.txt 2025-06-05T23:18:27.7660960Z microkernels-prod library is not found. 2025-06-05T23:18:27.7661799Z If needed rebuild with the proper options in CMakeLists.txt 2025-06-05T23:18:27.7662792Z kleidiai library is not found. 2025-06-05T23:18:27.7663568Z If needed rebuild with the proper options in CMakeLists.txt 2025-06-05T23:18:27.7664373Z vulkan_backend library is not found. 2025-06-05T23:18:27.7665170Z If needed rebuild with the proper options in CMakeLists.txt 2025-06-05T23:18:27.7665966Z optimized_kernels library is not found. 2025-06-05T23:18:27.7666832Z If needed rebuild with the proper options in CMakeLists.txt 2025-06-05T23:18:27.7667684Z optimized_portable_kernels library is not found. 2025-06-05T23:18:27.7668587Z If needed rebuild with the proper options in CMakeLists.txt 2025-06-05T23:18:27.7669374Z cpublas library is not found. 2025-06-05T23:18:27.7670180Z If needed rebuild with the proper options in CMakeLists.txt 2025-06-05T23:18:27.7671080Z eigen_blas library is not found. 2025-06-05T23:18:27.7671904Z If needed rebuild with the proper options in CMakeLists.txt 2025-06-05T23:18:27.7672895Z optimized_ops_lib library is not found. 2025-06-05T23:18:27.7673721Z If needed rebuild with the proper options in CMakeLists.txt 2025-06-05T23:18:27.7674629Z optimized_native_cpu_ops_lib library is not found. 2025-06-05T23:18:27.7675565Z If needed rebuild with the proper options in CMakeLists.txt 2025-06-05T23:18:27.7676423Z quantized_ops_aot_lib library is not found. 2025-06-05T23:18:27.7677256Z If needed rebuild with the proper options in CMakeLists.txt 2025-06-05T23:18:27.7678470Z -- executorch: Using source file list /pytorch/executorch/build-x86/examples/qualcomm/../../executorch_srcs.cmake 2025-06-05T23:18:27.7679539Z -- Generating operator lib: 2025-06-05T23:18:27.7679970Z -- LIB_NAME: full_portable_ops_lib 2025-06-05T23:18:27.7680440Z -- OPS_SCHEMA_YAML: 2025-06-05T23:18:27.7680832Z -- ROOT_OPS: 2025-06-05T23:18:27.7681217Z -- INCLUDE_ALL_OPS: ON 2025-06-05T23:18:27.7682614Z Command - python;-m;codegen.tools.gen_oplist;--output_path=/pytorch/executorch/build-x86/examples/qualcomm/full_portable_ops_lib/selected_operators.yaml;--include_all_operators 2025-06-05T23:18:27.7683543Z -- Generating kernel bindings: 2025-06-05T23:18:27.7683833Z -- LIB_NAME: full_portable_ops_lib 2025-06-05T23:18:27.7684351Z -- FUNCTIONS_YAML: /pytorch/executorch/examples/qualcomm/../../kernels/portable/functions.yaml 2025-06-05T23:18:27.7684888Z -- CUSTOM_OPS_YAML: 2025-06-05T23:18:27.7685130Z -- ADD_EXCEPTION_BOUNDARY: FALSE 2025-06-05T23:18:27.7685424Z -- Generating operator lib: 2025-06-05T23:18:27.7685688Z -- LIB_NAME: full_portable_ops_lib 2025-06-05T23:18:27.7685986Z -- KERNEL_LIBS: portable_kernels 2025-06-05T23:18:27.7686253Z -- DEPS: executorch 2025-06-05T23:18:27.7686534Z -- Performing Test ABSL_INTERNAL_AT_LEAST_CXX17 2025-06-05T23:18:27.7686931Z -- Performing Test ABSL_INTERNAL_AT_LEAST_CXX17 - Success 2025-06-05T23:18:27.7687316Z -- Performing Test ABSL_INTERNAL_AT_LEAST_CXX20 2025-06-05T23:18:27.7687713Z -- Performing Test ABSL_INTERNAL_AT_LEAST_CXX20 - Failed 2025-06-05T23:18:27.7688082Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD 2025-06-05T23:18:27.7688686Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success 2025-06-05T23:18:27.7689019Z -- Found Threads: TRUE 2025-06-05T23:18:27.7689758Z CMake Warning at /pytorch/executorch/extension/llm/tokenizers/third-party/abseil-cpp/CMakeLists.txt:177 (message): 2025-06-05T23:18:27.7691015Z The default and system-level install directories are unsupported except in LTS releases of Abseil. Please set CMAKE_INSTALL_PREFIX to install Abseil in your source or build tree directly. 2025-06-05T23:18:27.7691813Z 2025-06-05T23:18:27.7691915Z  2025-06-05T23:18:27.7692124Z -- Configuring done (1.3s) 2025-06-05T23:18:27.7692378Z -- Generating done (0.3s) 2025-06-05T23:18:27.7692791Z -- Build files have been written to: /pytorch/executorch/build-x86/examples/qualcomm 2025-06-05T23:18:27.7693379Z + cmake --build examples/qualcomm -j7 2025-06-05T23:18:27.7693901Z [ 0%] Generating selected_operators.yaml for full_portable_ops_lib 2025-06-05T23:18:27.7694667Z [ 1%] Building CXX object abseil-cpp/absl/base/CMakeFiles/log_severity.dir/log_severity.cc.o 2025-06-05T23:18:27.7695522Z [ 2%] Building CXX object abseil-cpp/absl/base/CMakeFiles/strerror.dir/internal/strerror.cc.o 2025-06-05T23:18:28.8357949Z [ 3%] Building CXX object abseil-cpp/absl/base/CMakeFiles/spinlock_wait.dir/internal/spinlock_wait.cc.o 2025-06-05T23:18:28.8359440Z [ 4%] Building CXX object abseil-cpp/absl/debugging/CMakeFiles/utf8_for_code_point.dir/internal/utf8_for_code_point.cc.o 2025-06-05T23:18:28.8360663Z [ 4%] Building CXX object abseil-cpp/absl/time/CMakeFiles/time_zone.dir/internal/cctz/src/time_zone_fixed.cc.o 2025-06-05T23:18:28.8361710Z [ 4%] Building CXX object abseil-cpp/absl/numeric/CMakeFiles/int128.dir/int128.cc.o 2025-06-05T23:18:28.8362451Z [ 4%] Linking CXX static library libabsl_utf8_for_code_point.a 2025-06-05T23:18:28.8363030Z [ 4%] Linking CXX static library libabsl_spinlock_wait.a 2025-06-05T23:18:28.8363624Z [ 4%] Linking CXX static library libabsl_strerror.a 2025-06-05T23:18:28.8364046Z [ 4%] Built target utf8_for_code_point 2025-06-05T23:18:28.8364822Z [ 4%] Building CXX object abseil-cpp/absl/time/CMakeFiles/time_zone.dir/internal/cctz/src/time_zone_format.cc.o 2025-06-05T23:18:28.8365460Z [ 4%] Built target spinlock_wait 2025-06-05T23:18:28.8365782Z [ 4%] Built target strerror 2025-06-05T23:18:28.8366582Z [ 4%] Building CXX object 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Building CXX object abseil-cpp/absl/time/CMakeFiles/time_zone.dir/internal/cctz/src/time_zone_info.cc.o 2025-06-05T23:18:28.8388994Z [ 7%] Linking CXX static library libabsl_flags_commandlineflag_internal.a 2025-06-05T23:18:28.8389483Z [ 7%] Built target flags_commandlineflag_internal 2025-06-05T23:18:28.8390465Z [ 7%] Building CXX object abseil-cpp/absl/random/CMakeFiles/random_internal_platform.dir/internal/randen_round_keys.cc.o 2025-06-05T23:18:28.8392106Z [ 8%] Building CXX object abseil-cpp/absl/time/CMakeFiles/time_zone.dir/internal/cctz/src/time_zone_libc.cc.o 2025-06-05T23:18:28.8393295Z [ 9%] Linking CXX static library libabsl_log_internal_nullguard.a 2025-06-05T23:18:28.8393946Z [ 9%] Linking CXX static library libabsl_random_seed_gen_exception.a 2025-06-05T23:18:28.8394524Z [ 9%] Built target log_internal_nullguard 2025-06-05T23:18:28.8395038Z [ 9%] Linking CXX static library libabsl_random_internal_platform.a 2025-06-05T23:18:28.8396013Z [ 10%] Building CXX object abseil-cpp/absl/base/CMakeFiles/raw_logging_internal.dir/internal/raw_logging.cc.o 2025-06-05T23:18:28.8397046Z [ 10%] Built target random_seed_gen_exception 2025-06-05T23:18:28.8398063Z [ 10%] Building CXX object abseil-cpp/absl/debugging/CMakeFiles/decode_rust_punycode.dir/internal/decode_rust_punycode.cc.o 2025-06-05T23:18:28.8399187Z [ 10%] Built target random_internal_platform 2025-06-05T23:18:28.8400291Z [ 10%] Building CXX object abseil-cpp/absl/profiling/CMakeFiles/periodic_sampler.dir/internal/periodic_sampler.cc.o 2025-06-05T23:18:28.8401478Z [ 10%] Building CXX object abseil-cpp/absl/time/CMakeFiles/time_zone.dir/internal/cctz/src/time_zone_lookup.cc.o 2025-06-05T23:18:28.8402499Z [ 10%] Building CXX object abseil-cpp/absl/time/CMakeFiles/time_zone.dir/internal/cctz/src/time_zone_posix.cc.o 2025-06-05T23:18:28.8403609Z [ 10%] Building CXX object abseil-cpp/absl/time/CMakeFiles/time_zone.dir/internal/cctz/src/zone_info_source.cc.o 2025-06-05T23:18:28.8404396Z [ 10%] Linking 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2025-06-05T23:18:31.3017821Z [ 54%] Building CXX object abseil-cpp/absl/log/CMakeFiles/log_sink.dir/log_sink.cc.o 2025-06-05T23:18:31.3018702Z [ 54%] Built target kernel_timeout_internal 2025-06-05T23:18:31.3019450Z [ 54%] Linking CXX static library libabsl_crc_cord_state.a 2025-06-05T23:18:31.3020770Z [ 54%] Building CXX object abseil-cpp/absl/synchronization/CMakeFiles/synchronization.dir/barrier.cc.o 2025-06-05T23:18:31.3021728Z [ 54%] Built target crc_cord_state 2025-06-05T23:18:31.3022967Z [ 54%] Building CXX object abseil-cpp/absl/synchronization/CMakeFiles/synchronization.dir/blocking_counter.cc.o 2025-06-05T23:18:31.3023861Z [ 54%] Linking CXX static library libabsl_failure_signal_handler.a 2025-06-05T23:18:31.3024494Z [ 54%] Built target failure_signal_handler 2025-06-05T23:18:31.3025194Z [ 55%] Building CXX object abseil-cpp/absl/strings/CMakeFiles/cord_internal.dir/internal/cord_internal.cc.o 2025-06-05T23:18:31.3026047Z In file included from /pytorch/executorch/runtime/executor/test/test_backend_compiler_lib.cpp:9: 2025-06-05T23:18:31.3026860Z In file included from /pytorch/executorch/examples/qualcomm/../../../executorch/runtime/backend/interface.h:14: 2025-06-05T23:18:31.3028213Z /pytorch/executorch/examples/qualcomm/../../../executorch/runtime/backend/backend_init_context.h:26:13: warning: 'NamedDataMap' is deprecated: This API is experimental and may change without notice. [-Wdeprecated-declarations] 2025-06-05T23:18:31.3029340Z const NamedDataMap* named_data_map = nullptr) 2025-06-05T23:18:31.3029654Z ^ 2025-06-05T23:18:31.3030354Z /pytorch/executorch/examples/qualcomm/../../../executorch/runtime/core/named_data_map.h:30:7: note: 'NamedDataMap' has been explicitly marked deprecated here 2025-06-05T23:18:31.3031251Z class ET_EXPERIMENTAL NamedDataMap { 2025-06-05T23:18:31.3031542Z ^ 2025-06-05T23:18:31.3032161Z /pytorch/executorch/examples/qualcomm/../../../executorch/runtime/platform/compiler.h:80:5: note: expanded from macro 'ET_EXPERIMENTAL' 2025-06-05T23:18:31.3032982Z [[deprecated("This API is experimental and may change without notice.")]] 2025-06-05T23:18:31.3033391Z ^ 2025-06-05T23:18:31.3033818Z In file included from /pytorch/executorch/runtime/executor/test/test_backend_compiler_lib.cpp:9: 2025-06-05T23:18:31.3034663Z In file included from /pytorch/executorch/examples/qualcomm/../../../executorch/runtime/backend/interface.h:14: 2025-06-05T23:18:31.3036116Z /pytorch/executorch/examples/qualcomm/../../../executorch/runtime/backend/backend_init_context.h:68:9: warning: 'NamedDataMap' is deprecated: This API is experimental and may change without notice. [-Wdeprecated-declarations] 2025-06-05T23:18:31.3037199Z const NamedDataMap* get_named_data_map() const { 2025-06-05T23:18:31.3037531Z ^ 2025-06-05T23:18:31.3038202Z /pytorch/executorch/examples/qualcomm/../../../executorch/runtime/core/named_data_map.h:30:7: note: 'NamedDataMap' has been explicitly marked deprecated here 2025-06-05T23:18:31.3039007Z class ET_EXPERIMENTAL NamedDataMap { 2025-06-05T23:18:31.3039280Z ^ 2025-06-05T23:18:31.3039896Z /pytorch/executorch/examples/qualcomm/../../../executorch/runtime/platform/compiler.h:80:5: note: expanded from macro 'ET_EXPERIMENTAL' 2025-06-05T23:18:31.3040732Z [[deprecated("This API is experimental and may change without notice.")]] 2025-06-05T23:18:31.3041129Z ^ 2025-06-05T23:18:31.3041569Z In file included from /pytorch/executorch/runtime/executor/test/test_backend_compiler_lib.cpp:9: 2025-06-05T23:18:31.3042386Z In file included from /pytorch/executorch/examples/qualcomm/../../../executorch/runtime/backend/interface.h:14: 2025-06-05T23:18:31.3043725Z /pytorch/executorch/examples/qualcomm/../../../executorch/runtime/backend/backend_init_context.h:76:9: warning: 'NamedDataMap' is deprecated: This API is experimental and may change without notice. [-Wdeprecated-declarations] 2025-06-05T23:18:31.3044824Z const NamedDataMap* named_data_map_ = nullptr; 2025-06-05T23:18:31.3045224Z ^ 2025-06-05T23:18:31.3046176Z /pytorch/executorch/examples/qualcomm/../../../executorch/runtime/core/named_data_map.h:30:7: note: 'NamedDataMap' has been explicitly marked deprecated here 2025-06-05T23:18:31.3047037Z class ET_EXPERIMENTAL NamedDataMap { 2025-06-05T23:18:31.3047327Z ^ 2025-06-05T23:18:31.3047926Z /pytorch/executorch/examples/qualcomm/../../../executorch/runtime/platform/compiler.h:80:5: note: expanded from macro 'ET_EXPERIMENTAL' 2025-06-05T23:18:31.3048767Z [[deprecated("This API is experimental and may change without notice.")]] 2025-06-05T23:18:31.3049175Z ^ 2025-06-05T23:18:31.3049361Z 3 warnings generated. 2025-06-05T23:18:31.3049791Z [ 56%] Linking CXX executable qnn_executor_runner 2025-06-05T23:18:31.3050450Z [ 57%] Linking CXX static library libabsl_random_internal_distribution_test_util.a 2025-06-05T23:18:31.3051482Z [ 57%] 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2025-06-05T23:18:39.4644727Z -- Detecting C compile features - done 2025-06-05T23:18:39.4645029Z -- Detecting CXX compiler ABI info 2025-06-05T23:18:39.4645340Z -- Detecting CXX compiler ABI info - done 2025-06-05T23:18:39.4645721Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2025-06-05T23:18:39.4646118Z -- Detecting CXX compile features 2025-06-05T23:18:39.4646426Z -- Detecting CXX compile features - done 2025-06-05T23:18:39.4646736Z -- --- Configured Options --- 2025-06-05T23:18:39.4646913Z 2025-06-05T23:18:39.4647041Z -- CMAKE_CXX_STANDARD : 17 2025-06-05T23:18:39.4647377Z -- CMAKE_SYSTEM_PROCESSOR : x86_64 2025-06-05T23:18:39.4647736Z -- CMAKE_BUILD_TYPE : Debug 2025-06-05T23:18:39.4648089Z -- PYTHON_EXECUTABLE : python3 2025-06-05T23:18:39.4648448Z -- CMAKE_CXX_COMPILER_ID : Clang 2025-06-05T23:18:39.4648812Z -- CMAKE_TOOLCHAIN_FILE x (unset) 2025-06-05T23:18:39.4649146Z -- BUCK2 x (unset) 2025-06-05T23:18:39.4649486Z -- EXECUTORCH_ENABLE_LOGGING : ON 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Or, use the ... syntax 2025-06-05T23:18:39.4669449Z to tell CMake that the project requires at least but has been updated 2025-06-05T23:18:39.4669912Z to work with policies introduced by or earlier. 2025-06-05T23:18:39.4670171Z 2025-06-05T23:18:39.4670270Z  2025-06-05T23:18:39.4670530Z -- dist install dir /pytorch/executorch/third-party/flatcc 2025-06-05T23:18:39.4671078Z -- lib install dir /pytorch/executorch/third-party/flatcc/lib 2025-06-05T23:18:39.4671454Z -- Setting Clang compiler options 2025-06-05T23:18:39.4672149Z -- Configured C_FLAGS: -DFLATCC_REFLECTION=0 -Wstrict-prototypes -Wsign-conversion -Wconversion -std=c11 -pedantic -Wall -Wextra -Werror 2025-06-05T23:18:39.4673502Z CMake Deprecation Warning at backends/xnnpack/third-party/FXdiv/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED): 2025-06-05T23:18:39.4674212Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-06-05T23:18:39.4674626Z CMake. 2025-06-05T23:18:39.4674736Z 2025-06-05T23:18:39.4674952Z Update the VERSION argument value. Or, use the ... syntax 2025-06-05T23:18:39.4675506Z to tell CMake that the project requires at least but has been updated 2025-06-05T23:18:39.4675983Z to work with policies introduced by or earlier. 2025-06-05T23:18:39.4676231Z 2025-06-05T23:18:39.4676325Z  2025-06-05T23:18:39.4676926Z CMake Deprecation Warning at backends/xnnpack/third-party/cpuinfo/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED): 2025-06-05T23:18:39.4677643Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-06-05T23:18:39.4678055Z CMake. 2025-06-05T23:18:39.4678163Z 2025-06-05T23:18:39.4678379Z Update the VERSION argument value. Or, use the ... syntax 2025-06-05T23:18:39.4679122Z to tell CMake that the project requires at least but has been updated 2025-06-05T23:18:39.4679603Z to work with policies introduced by or earlier. 2025-06-05T23:18:39.4679870Z 2025-06-05T23:18:39.4679968Z  2025-06-05T23:18:39.4680200Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD 2025-06-05T23:18:39.4680559Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success 2025-06-05T23:18:39.4680907Z -- Found Threads: TRUE 2025-06-05T23:18:39.4681567Z CMake Deprecation Warning at backends/xnnpack/third-party/pthreadpool/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED): 2025-06-05T23:18:39.4682321Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-06-05T23:18:39.4682723Z CMake. 2025-06-05T23:18:39.4682846Z 2025-06-05T23:18:39.4683060Z Update the VERSION argument value. Or, use the ... syntax 2025-06-05T23:18:39.4683710Z to tell CMake that the project requires at least but has been updated 2025-06-05T23:18:39.4684178Z to work with policies introduced by or earlier. 2025-06-05T23:18:39.4684431Z 2025-06-05T23:18:39.4684550Z  2025-06-05T23:18:39.4684745Z -- Resolved buck2 as buck2. 2025-06-05T23:18:39.4685015Z -- Killing buck2 daemon 2025-06-05T23:18:39.4685244Z 'buck2 killall' 2025-06-05T23:18:39.4685495Z -- executorch: Generating source lists 2025-06-05T23:18:39.4685996Z -- executorch: Generating source file list /pytorch/executorch/cmake-out/executorch_srcs.cmake 2025-06-05T23:18:39.4686675Z -- executorch: Using sources file /pytorch/executorch/cmake-out/executorch_srcs.cmake 2025-06-05T23:18:39.4687153Z -- Generating operator lib: 2025-06-05T23:18:39.4687417Z -- LIB_NAME: portable_ops_lib 2025-06-05T23:18:39.4687814Z -- OPS_SCHEMA_YAML: /pytorch/executorch/kernels/portable/functions.yaml 2025-06-05T23:18:39.4688218Z -- ROOT_OPS: 2025-06-05T23:18:39.4688438Z -- INCLUDE_ALL_OPS: 2025-06-05T23:18:44.6801043Z 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" 2025-06-05T23:18:44.6802610Z -- Generating kernel bindings: 2025-06-05T23:18:44.6802940Z -- LIB_NAME: portable_ops_lib 2025-06-05T23:18:44.6803353Z -- FUNCTIONS_YAML: /pytorch/executorch/kernels/portable/functions.yaml 2025-06-05T23:18:44.6803876Z -- CUSTOM_OPS_YAML: 2025-06-05T23:18:44.6804131Z -- ADD_EXCEPTION_BOUNDARY: FALSE 2025-06-05T23:18:44.6806166Z 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 2025-06-05T23:18:44.6807954Z -- Generating operator lib: 2025-06-05T23:18:44.6808280Z -- LIB_NAME: portable_ops_lib 2025-06-05T23:18:44.6808702Z -- KERNEL_LIBS: portable_kernels 2025-06-05T23:18:44.6809006Z -- DEPS: executorch_core 2025-06-05T23:18:44.6809794Z CMake Deprecation Warning at third-party/gflags/CMakeLists.txt:73 (cmake_minimum_required): 2025-06-05T23:18:44.6810560Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-06-05T23:18:44.6811062Z CMake. 2025-06-05T23:18:44.6811221Z 2025-06-05T23:18:44.6811476Z Update the VERSION argument value. Or, use the ... syntax 2025-06-05T23:18:44.6812152Z to tell CMake that the project requires at least but has been updated 2025-06-05T23:18:44.6812782Z to work with policies introduced by or earlier. 2025-06-05T23:18:44.6813040Z 2025-06-05T23:18:44.6813148Z  2025-06-05T23:18:44.6813429Z -- Looking for C++ include unistd.h 2025-06-05T23:18:44.6813843Z -- Looking for C++ include unistd.h - found 2025-06-05T23:18:44.6814219Z -- Looking for C++ include stdint.h 2025-06-05T23:18:44.6814561Z -- Looking for C++ include stdint.h - found 2025-06-05T23:18:44.6814983Z -- Looking for C++ include inttypes.h 2025-06-05T23:18:44.6815675Z -- Looking for C++ include inttypes.h - found 2025-06-05T23:18:44.6816172Z -- Looking for C++ include sys/types.h 2025-06-05T23:18:44.6816779Z -- Looking for C++ include sys/types.h - found 2025-06-05T23:18:44.6817111Z -- Looking for C++ include sys/stat.h 2025-06-05T23:18:44.6817433Z -- Looking for C++ include sys/stat.h - found 2025-06-05T23:18:44.6817873Z -- Looking for C++ include fnmatch.h 2025-06-05T23:18:44.6818219Z -- Looking for C++ include fnmatch.h - found 2025-06-05T23:18:44.6818530Z -- Looking for C++ include stddef.h 2025-06-05T23:18:44.6818925Z -- Looking for C++ include stddef.h - found 2025-06-05T23:18:44.6819243Z -- Check size of uint32_t 2025-06-05T23:18:44.6819533Z -- Check size of uint32_t - done 2025-06-05T23:18:44.6819904Z -- Looking for strtoll 2025-06-05T23:18:44.6820142Z -- Looking for strtoll - found 2025-06-05T23:18:44.6820605Z -- Using qnn sdk root /tmp/qnn/2.28.0.241029 2025-06-05T23:18:44.6820973Z -- Using EXECUTORCH_SOURCE_DIR /pytorch/executorch 2025-06-05T23:18:44.6821789Z CMake Deprecation Warning at third-party/pybind11/CMakeLists.txt:13 (cmake_minimum_required): 2025-06-05T23:18:44.6822516Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-06-05T23:18:44.6823117Z CMake. 2025-06-05T23:18:44.6823242Z 2025-06-05T23:18:44.6823458Z Update the VERSION argument value. Or, use the ... syntax 2025-06-05T23:18:44.6824053Z to tell CMake that the project requires at least but has been updated 2025-06-05T23:18:44.6824578Z to work with policies introduced by or earlier. 2025-06-05T23:18:44.6824829Z 2025-06-05T23:18:44.6824980Z  2025-06-05T23:18:44.6825289Z -- pybind11 v2.13.6 2025-06-05T23:18:44.6825719Z -- Found PythonInterp: python3 (found suitable version "3.10.16", minimum required is "3.7") 2025-06-05T23:18:44.6826467Z -- Found PythonLibs: /opt/conda/envs/py_3.10/lib/libpython3.10.so 2025-06-05T23:18:44.6826860Z -- Performing Test HAS_FLTO_THIN 2025-06-05T23:18:44.6827216Z -- Performing Test HAS_FLTO_THIN - Success 2025-06-05T23:18:44.6827588Z -- Configuring done (5.4s) 2025-06-05T23:18:44.6827838Z -- Generating done (0.1s) 2025-06-05T23:18:44.6828140Z CMake Warning: 2025-06-05T23:18:44.6828577Z Manually-specified variables were not used by the project: 2025-06-05T23:18:44.6828894Z 2025-06-05T23:18:44.6829001Z ANDROID_NATIVE_API_LEVEL 2025-06-05T23:18:44.6829170Z 2025-06-05T23:18:44.6829269Z  2025-06-05T23:18:44.6829733Z -- Build files have been written to: /pytorch/executorch/cmake-out 2025-06-05T23:18:44.6830130Z ++ nproc 2025-06-05T23:18:44.6830634Z + cmake --build /pytorch/executorch/cmake-out --target PyQnnManagerAdaptor PyQnnWrapperAdaptor -j8 2025-06-05T23:18:44.6831501Z [ 0%] Creating directories for 'flatbuffers_external_project' 2025-06-05T23:18:44.6832169Z [ 0%] No download step for 'flatbuffers_external_project' 2025-06-05T23:18:44.6832756Z [ 0%] No update step for 'flatbuffers_external_project' 2025-06-05T23:18:44.6833329Z [ 0%] No patch step for 'flatbuffers_external_project' 2025-06-05T23:18:44.6833966Z [ 0%] Performing configure step for 'flatbuffers_external_project' 2025-06-05T23:18:44.6834455Z CMake Warning: 2025-06-05T23:18:44.6834759Z Ignoring empty string ("") provided on the command line. 2025-06-05T23:18:44.6835062Z 2025-06-05T23:18:44.6835186Z  2025-06-05T23:18:44.6835412Z fatal: No names found, cannot describe anything. 2025-06-05T23:18:44.6835863Z CMake Warning at CMake/Version.cmake:32 (message): 2025-06-05T23:18:44.6836228Z git describe failed with exit code: 128 2025-06-05T23:18:44.6836450Z 2025-06-05T23:18:44.6836608Z Make sure you cloned with tags or run 'git fetch --tags'. 2025-06-05T23:18:44.6836967Z Call Stack (most recent call first): 2025-06-05T23:18:44.6837269Z CMakeLists.txt:5 (include) 2025-06-05T23:18:44.6837444Z 2025-06-05T23:18:44.6837556Z  2025-06-05T23:18:44.6837756Z -- Proceeding with version: 24.3.25.0 2025-06-05T23:18:44.6838230Z -- The CXX compiler identification is Clang 12.0.1 2025-06-05T23:18:44.6838573Z -- Detecting CXX compiler ABI info 2025-06-05T23:18:44.6838885Z -- Detecting CXX compiler ABI info - done 2025-06-05T23:18:44.6839268Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2025-06-05T23:18:44.6839662Z -- Detecting CXX compile features 2025-06-05T23:18:44.6839958Z -- Detecting CXX compile features - done 2025-06-05T23:18:44.6840271Z -- Looking for strtof_l 2025-06-05T23:18:44.6840516Z -- Looking for strtof_l - found 2025-06-05T23:18:44.6840792Z -- Looking for strtoull_l 2025-06-05T23:18:44.6841058Z -- Looking for strtoull_l - found 2025-06-05T23:18:44.6841327Z -- Looking for realpath 2025-06-05T23:18:44.6841584Z -- Looking for realpath - found 2025-06-05T23:18:44.6841900Z -- CMAKE_CXX_FLAGS: "-DFLATBUFFERS_MAX_ALIGNMENT=1024" 2025-06-05T23:18:44.6842337Z -- Configuring done (1.0s) 2025-06-05T23:18:44.6842585Z -- Generating done (0.0s) 2025-06-05T23:18:44.6843287Z -- Build files have been written to: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/src/flatbuffers_external_project-build 2025-06-05T23:18:44.6844216Z [ 0%] Performing build step for 'flatbuffers_external_project' 2025-06-05T23:18:44.6844829Z [ 2%] Building CXX object CMakeFiles/flatc.dir/src/idl_parser.cpp.o 2025-06-05T23:18:44.6845449Z [ 7%] Building CXX object CMakeFiles/flatc.dir/src/reflection.cpp.o 2025-06-05T23:18:44.6846116Z [ 7%] Building CXX object CMakeFiles/flatc.dir/src/idl_gen_text.cpp.o 2025-06-05T23:18:44.6846772Z [ 10%] Building CXX object CMakeFiles/flatc.dir/src/util.cpp.o 2025-06-05T23:18:44.6847376Z [ 13%] Building CXX object CMakeFiles/flatc.dir/src/idl_gen_binary.cpp.o 2025-06-05T23:18:44.6848008Z [ 15%] Building CXX object CMakeFiles/flatc.dir/src/idl_gen_cpp.cpp.o 2025-06-05T23:18:44.6848651Z [ 18%] Building CXX object CMakeFiles/flatc.dir/src/idl_gen_csharp.cpp.o 2025-06-05T23:18:44.6849277Z [ 21%] Building CXX object CMakeFiles/flatc.dir/src/idl_gen_dart.cpp.o 2025-06-05T23:18:44.6849911Z [ 23%] Building CXX object CMakeFiles/flatc.dir/src/idl_gen_kotlin.cpp.o 2025-06-05T23:18:44.6850561Z [ 26%] Building CXX object CMakeFiles/flatc.dir/src/idl_gen_kotlin_kmp.cpp.o 2025-06-05T23:18:44.6851202Z [ 28%] Building CXX object CMakeFiles/flatc.dir/src/idl_gen_go.cpp.o 2025-06-05T23:18:44.6851807Z [ 31%] Building CXX object CMakeFiles/flatc.dir/src/idl_gen_java.cpp.o 2025-06-05T23:18:44.6852423Z [ 34%] Building CXX object CMakeFiles/flatc.dir/src/idl_gen_ts.cpp.o 2025-06-05T23:18:44.6853049Z [ 36%] Building CXX object CMakeFiles/flatc.dir/src/idl_gen_python.cpp.o 2025-06-05T23:18:44.6853672Z [ 39%] Building CXX object CMakeFiles/flatc.dir/src/idl_gen_php.cpp.o 2025-06-05T23:18:44.6854310Z [ 42%] Building CXX object CMakeFiles/flatc.dir/src/idl_gen_lobster.cpp.o 2025-06-05T23:18:44.6854936Z [ 44%] Building CXX object CMakeFiles/flatc.dir/src/idl_gen_rust.cpp.o 2025-06-05T23:18:44.6855559Z [ 47%] Building CXX object CMakeFiles/flatc.dir/src/idl_gen_fbs.cpp.o 2025-06-05T23:18:44.6856178Z [ 50%] Building CXX object CMakeFiles/flatc.dir/src/idl_gen_grpc.cpp.o 2025-06-05T23:18:44.6856826Z [ 52%] Building CXX object CMakeFiles/flatc.dir/src/idl_gen_json_schema.cpp.o 2025-06-05T23:18:44.6857566Z [ 55%] Building CXX object CMakeFiles/flatc.dir/src/idl_gen_swift.cpp.o 2025-06-05T23:18:44.6858405Z [ 57%] Building CXX object CMakeFiles/flatc.dir/src/file_name_saving_file_manager.cpp.o 2025-06-05T23:18:44.6859140Z [ 60%] Building CXX object CMakeFiles/flatc.dir/src/file_binary_writer.cpp.o 2025-06-05T23:18:44.6859776Z [ 63%] Building CXX object CMakeFiles/flatc.dir/src/file_writer.cpp.o 2025-06-05T23:18:44.6860397Z [ 65%] Building CXX object CMakeFiles/flatc.dir/src/flatc_main.cpp.o 2025-06-05T23:18:44.6860999Z [ 68%] Building CXX object CMakeFiles/flatc.dir/src/flatc.cpp.o 2025-06-05T23:18:44.6861699Z [ 71%] Building CXX object CMakeFiles/flatc.dir/src/binary_annotator.cpp.o 2025-06-05T23:18:44.6862418Z [ 73%] Building CXX object CMakeFiles/flatc.dir/src/annotated_binary_text_gen.cpp.o 2025-06-05T23:18:44.6863093Z [ 76%] Building CXX object CMakeFiles/flatc.dir/src/bfbs_gen_lua.cpp.o 2025-06-05T23:18:44.6863718Z [ 78%] Building CXX object CMakeFiles/flatc.dir/src/bfbs_gen_nim.cpp.o 2025-06-05T23:18:44.6864363Z [ 81%] Building CXX object CMakeFiles/flatc.dir/src/code_generators.cpp.o 2025-06-05T23:18:44.6865067Z [ 84%] Building CXX object CMakeFiles/flatc.dir/grpc/src/compiler/cpp_generator.cc.o 2025-06-05T23:18:44.6865820Z [ 86%] Building CXX object CMakeFiles/flatc.dir/grpc/src/compiler/go_generator.cc.o 2025-06-05T23:18:44.6866567Z [ 89%] Building CXX object CMakeFiles/flatc.dir/grpc/src/compiler/java_generator.cc.o 2025-06-05T23:18:44.6867415Z [ 92%] Building CXX object CMakeFiles/flatc.dir/grpc/src/compiler/python_generator.cc.o 2025-06-05T23:18:44.6868193Z [ 94%] Building CXX object CMakeFiles/flatc.dir/grpc/src/compiler/swift_generator.cc.o 2025-06-05T23:18:44.6869108Z [ 97%] Building CXX object CMakeFiles/flatc.dir/grpc/src/compiler/ts_generator.cc.o 2025-06-05T23:18:44.6869677Z [100%] Linking CXX executable flatc 2025-06-05T23:18:44.6869988Z [100%] Built target flatc 2025-06-05T23:18:44.6870438Z [ 4%] Performing install step for 'flatbuffers_external_project' 2025-06-05T23:18:44.6870923Z [100%] Built target flatc 2025-06-05T23:18:44.6871236Z Install the project... 2025-06-05T23:18:44.6871512Z -- Install configuration: "" 2025-06-05T23:18:44.6872083Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers 2025-06-05T23:18:44.6873211Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/allocator.h 2025-06-05T23:18:45.3083258Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/array.h 2025-06-05T23:18:45.3084936Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/base.h 2025-06-05T23:18:45.3086399Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/buffer.h 2025-06-05T23:18:45.3087913Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/buffer_ref.h 2025-06-05T23:18:45.3089505Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/code_generator.h 2025-06-05T23:18:45.3091591Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/code_generators.h 2025-06-05T23:18:45.3093385Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/default_allocator.h 2025-06-05T23:18:45.3095525Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/detached_buffer.h 2025-06-05T23:18:45.3097795Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/file_manager.h 2025-06-05T23:18:45.3099798Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/flatbuffer_builder.h 2025-06-05T23:18:45.3101819Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/flatbuffers.h 2025-06-05T23:18:45.3104022Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/flatc.h 2025-06-05T23:18:45.3106192Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/flex_flat_util.h 2025-06-05T23:18:45.3108471Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/flexbuffers.h 2025-06-05T23:18:45.3110616Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/grpc.h 2025-06-05T23:18:45.3112520Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/hash.h 2025-06-05T23:18:45.3114278Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/idl.h 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/pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/registry.h 2025-06-05T23:18:45.3129262Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/stl_emulation.h 2025-06-05T23:18:45.3131175Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/string.h 2025-06-05T23:18:45.3132986Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/struct.h 2025-06-05T23:18:45.3134844Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/table.h 2025-06-05T23:18:45.3136651Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/util.h 2025-06-05T23:18:45.3138473Z -- Installing: /pytorch/executorch/cmake-out/third-party/flatbuffers_external_project/include/flatbuffers/vector.h 2025-06-05T23:18:45.3140428Z 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[100%] Linking CXX shared module PyQnnManagerAdaptor.cpython-310-x86_64-linux-gnu.so 2025-06-05T23:18:49.3400620Z [100%] Built target PyQnnManagerAdaptor 2025-06-05T23:18:49.3401229Z [ 50%] Built target flatbuffers_external_project 2025-06-05T23:18:49.3401812Z [ 50%] Built target qnn_schema 2025-06-05T23:18:49.3402235Z [ 50%] Built target qnn_executorch_logging 2025-06-05T23:18:49.3402783Z [ 75%] Built target wrappers 2025-06-05T23:18:49.3404403Z [ 75%] Building CXX object backends/qualcomm/CMakeFiles/PyQnnWrapperAdaptor.dir/aot/python/PyQnnWrapperAdaptor.cpp.o 2025-06-05T23:18:49.3406647Z [ 75%] Building CXX object backends/qualcomm/CMakeFiles/PyQnnWrapperAdaptor.dir/aot/wrappers/TensorWrapper.cpp.o 2025-06-05T23:18:49.3408387Z [100%] Linking CXX shared module PyQnnWrapperAdaptor.cpython-310-x86_64-linux-gnu.so 2025-06-05T23:18:49.3409370Z [100%] Built target PyQnnWrapperAdaptor 2025-06-05T23:18:49.3410634Z + cp -f backends/qualcomm/PyQnnManagerAdaptor.cpython-310-x86_64-linux-gnu.so /pytorch/executorch/backends/qualcomm/python 2025-06-05T23:18:49.3412543Z + cp -f backends/qualcomm/PyQnnWrapperAdaptor.cpython-310-x86_64-linux-gnu.so /pytorch/executorch/backends/qualcomm/python 2025-06-05T23:18:49.3413770Z + popd 2025-06-05T23:18:49.3414123Z /pytorch/executorch 2025-06-05T23:18:49.3414600Z + cp schema/program.fbs exir/_serialize/program.fbs 2025-06-05T23:18:49.3415582Z + cp schema/scalar_type.fbs exir/_serialize/scalar_type.fbs 2025-06-05T23:18:49.3416250Z + PYTHON_EXECUTABLE=python 2025-06-05T23:18:49.3416813Z + bash .ci/scripts/setup-linux.sh --build-tool cmake 2025-06-05T23:18:49.3417447Z ++ dirname .ci/scripts/setup-linux.sh 2025-06-05T23:18:49.3418008Z + source .ci/scripts/utils.sh 2025-06-05T23:18:49.3418516Z + read -r BUILD_TOOL BUILD_MODE EDITABLE 2025-06-05T23:18:49.3419050Z ++ parse_args --build-tool cmake 2025-06-05T23:18:49.3419528Z ++ args=('--build-tool' 'cmake') 2025-06-05T23:18:49.3419933Z ++ local args 2025-06-05T23:18:49.3420329Z ++ local i 2025-06-05T23:18:49.3420692Z ++ local BUILD_TOOL= 2025-06-05T23:18:49.3421117Z ++ local BUILD_MODE= 2025-06-05T23:18:49.3421500Z ++ local EDITABLE= 2025-06-05T23:18:49.3421862Z ++ (( i=0 )) 2025-06-05T23:18:49.3422174Z ++ (( i<2 )) 2025-06-05T23:18:49.3422555Z ++ case "${args[$i]}" in 2025-06-05T23:18:49.3422989Z ++ BUILD_TOOL=cmake 2025-06-05T23:18:49.3423378Z ++ i=1 2025-06-05T23:18:49.3423713Z ++ (( i++ )) 2025-06-05T23:18:49.3424071Z ++ (( i<2 )) 2025-06-05T23:18:49.3424409Z ++ '[' -z cmake ']' 2025-06-05T23:18:49.3424826Z ++ [[ cmake =~ ^(cmake|buck2)$ ]] 2025-06-05T23:18:49.3425351Z ++ BUILD_MODE=Release 2025-06-05T23:18:49.3425795Z ++ [[ Release =~ ^(Debug|Release)$ ]] 2025-06-05T23:18:49.3426315Z ++ EDITABLE=false 2025-06-05T23:18:49.3426717Z ++ [[ false =~ ^(true|false)$ ]] 2025-06-05T23:18:49.3427223Z ++ echo 'cmake Release false' 2025-06-05T23:18:49.3427697Z + [[ false == \t\r\u\e ]] 2025-06-05T23:18:49.3428216Z + install_executorch --use-pt-pinned-commit 2025-06-05T23:18:49.3428755Z + which pip 2025-06-05T23:18:49.3429138Z /opt/conda/envs/py_3.10/bin/pip 2025-06-05T23:18:49.3429705Z + ./install_executorch.sh --use-pt-pinned-commit 2025-06-05T23:18:49.3430551Z 2025-06-05 23:18:48,975 [ExecuTorch] INFO: All required submodules are present. 2025-06-05T23:18:49.3431838Z Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/nightly/cpu 2025-06-05T23:18:49.3433368Z Requirement already satisfied: torch in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (2.8.0a0+git5616fa4) 2025-06-05T23:18:49.3435101Z Requirement already satisfied: torchvision in /var/lib/ci-user/.local/lib/python3.10/site-packages (0.22.0a0+966da7e) 2025-06-05T23:18:49.3436854Z Requirement already satisfied: torchaudio in /var/lib/ci-user/.local/lib/python3.10/site-packages (2.6.0a0+1a8f621) 2025-06-05T23:18:49.3438872Z Requirement already satisfied: timm==1.0.7 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from -r 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[?25l- done 2025-06-05T23:18:59.7333982Z [?25hProcessing ./extension/llm/tokenizers 2025-06-05T23:18:59.7334452Z Preparing metadata (pyproject.toml) ... 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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 2025-06-05T23:18:59.7362802Z  Building wheel for torchao (setup.py) ... [?25l- \ | / done 2025-06-05T23:18:59.7363911Z [?25h Created wheel for torchao: filename=torchao-0.12.0+gitbc68b11-cp39-abi3-linux_x86_64.whl size=955946 sha256=28b17f35a6ec09248ef45d2741b50149736d4084b9731500b6c2b9c46b8641b6 2025-06-05T23:18:59.7365125Z Stored in directory: /tmp/pip-ephem-wheel-cache-eheauj8a/wheels/0b/23/ff/2261dc1c4a27252503fe159d9fc88676b133e0e8d621abf36f 2025-06-05T23:18:59.7366088Z Building wheel for pytorch_tokenizers (pyproject.toml) ... [?25l- \ done 2025-06-05T23:18:59.7367236Z [?25h Created wheel for pytorch_tokenizers: filename=pytorch_tokenizers-0.1.0-py3-none-any.whl size=10999 sha256=c92d50b227cf5e5a9a3f27d04a32f38a87f035d3907f27617b326a92c0ebd6d4 2025-06-05T23:18:59.7368451Z Stored in directory: /tmp/pip-ephem-wheel-cache-eheauj8a/wheels/27/7b/a1/358699b32a468639d6f9ef263f9676280bc5ee318b0bd9a0b2 2025-06-05T23:18:59.7369165Z Successfully built torchao pytorch_tokenizers 2025-06-05T23:18:59.7369569Z Installing collected packages: torchao, pytorch_tokenizers 2025-06-05T23:18:59.7369958Z [?25l 2025-06-05T23:18:59.7370266Z  Attempting uninstall: torchao 2025-06-05T23:18:59.7370477Z 2025-06-05T23:18:59.7370708Z  Found existing installation: torchao 0.12.0+gitbc68b11 2025-06-05T23:18:59.7370979Z 2025-06-05T23:18:59.7371155Z  Uninstalling torchao-0.12.0+gitbc68b11: 2025-06-05T23:18:59.7371401Z 2025-06-05T23:18:59.7371621Z  Successfully uninstalled torchao-0.12.0+gitbc68b11 2025-06-05T23:18:59.7371882Z 2025-06-05T23:18:59.7372169Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0/2 [torchao] 2025-06-05T23:19:02.0473009Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0/2 [torchao] 2025-06-05T23:19:02.0473611Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0/2 [torchao] 2025-06-05T23:19:02.0474111Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0/2 [torchao] 2025-06-05T23:19:02.0474566Z  Attempting uninstall: pytorch_tokenizers 2025-06-05T23:19:02.0475031Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0/2 [torchao] 2025-06-05T23:19:02.0475519Z  Found existing installation: pytorch_tokenizers 0.1.0 2025-06-05T23:19:02.0476019Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0/2 [torchao] 2025-06-05T23:19:02.0476456Z  Uninstalling pytorch_tokenizers-0.1.0: 2025-06-05T23:19:02.0476960Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0/2 [torchao] 2025-06-05T23:19:02.0477446Z  Successfully uninstalled pytorch_tokenizers-0.1.0 2025-06-05T23:19:02.0477947Z ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0/2 [torchao] 2025-06-05T23:19:02.0478461Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2/2 [pytorch_tokenizers] 2025-06-05T23:19:02.0478846Z [?25h 2025-06-05T23:19:02.0479278Z Successfully installed pytorch_tokenizers-0.1.0 torchao-0.12.0+gitbc68b11 2025-06-05T23:19:02.0479931Z Using pip 25.1 from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/pip (python 3.10) 2025-06-05T23:19:02.0480645Z Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/nightly/cpu 2025-06-05T23:19:02.0481153Z Processing /pytorch/executorch 2025-06-05T23:19:02.0481492Z Running command Preparing metadata (pyproject.toml) 2025-06-05T23:19:02.0482444Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/config/_apply_pyprojecttoml.py:82: SetuptoolsDeprecationWarning: `project.license` as a TOML table is deprecated 2025-06-05T23:19:02.0483353Z !! 2025-06-05T23:19:02.0484067Z 2025-06-05T23:19:02.0484206Z ******************************************************************************** 2025-06-05T23:19:02.0485036Z Please use a simple string containing a SPDX expression for `project.license`. You can also use `project.license-files`. (Both options available on setuptools>=77.0.0). 2025-06-05T23:19:02.0485745Z 2025-06-05T23:19:02.0485959Z By 2026-Feb-18, you need to update your project and remove deprecated calls 2025-06-05T23:19:02.0486408Z or your builds will no longer be supported. 2025-06-05T23:19:02.0486651Z 2025-06-05T23:19:02.0486993Z See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details. 2025-06-05T23:19:02.0487573Z ******************************************************************************** 2025-06-05T23:19:02.0487911Z 2025-06-05T23:19:02.0488034Z !! 2025-06-05T23:19:02.0488234Z corresp(dist, value, root_dir) 2025-06-05T23:19:02.0489085Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/config/_apply_pyprojecttoml.py:61: SetuptoolsDeprecationWarning: License classifiers are deprecated. 2025-06-05T23:19:02.0489910Z !! 2025-06-05T23:19:02.0490025Z 2025-06-05T23:19:02.0490141Z ******************************************************************************** 2025-06-05T23:19:02.0490666Z Please consider removing the following classifiers in favor of a SPDX license expression: 2025-06-05T23:19:02.0491090Z 2025-06-05T23:19:02.0491241Z License :: OSI Approved :: BSD License 2025-06-05T23:19:02.0491460Z 2025-06-05T23:19:02.0491813Z See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details. 2025-06-05T23:19:02.0492376Z ******************************************************************************** 2025-06-05T23:19:02.0492624Z 2025-06-05T23:19:02.0492699Z !! 2025-06-05T23:19:02.0492904Z dist._finalize_license_expression() 2025-06-05T23:19:02.0493673Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/dist.py:759: SetuptoolsDeprecationWarning: License classifiers are deprecated. 2025-06-05T23:19:02.0494418Z !! 2025-06-05T23:19:02.0494521Z 2025-06-05T23:19:02.0494635Z ******************************************************************************** 2025-06-05T23:19:02.0495169Z Please consider removing the following classifiers in favor of a SPDX license expression: 2025-06-05T23:19:02.0495577Z 2025-06-05T23:19:02.0495690Z License :: OSI Approved :: BSD License 2025-06-05T23:19:02.0495924Z 2025-06-05T23:19:02.0496263Z See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details. 2025-06-05T23:19:02.0496835Z ******************************************************************************** 2025-06-05T23:19:02.0497070Z 2025-06-05T23:19:02.0497145Z !! 2025-06-05T23:19:02.0497360Z self._finalize_license_expression() 2025-06-05T23:19:02.0497646Z running dist_info 2025-06-05T23:19:02.0497994Z creating /tmp/pip-modern-metadata-dnasa8sb/executorch.egg-info 2025-06-05T23:19:02.0498540Z writing /tmp/pip-modern-metadata-dnasa8sb/executorch.egg-info/PKG-INFO 2025-06-05T23:19:02.0499261Z writing dependency_links to /tmp/pip-modern-metadata-dnasa8sb/executorch.egg-info/dependency_links.txt 2025-06-05T23:19:02.0500070Z writing entry points to /tmp/pip-modern-metadata-dnasa8sb/executorch.egg-info/entry_points.txt 2025-06-05T23:19:02.0500809Z writing requirements to /tmp/pip-modern-metadata-dnasa8sb/executorch.egg-info/requires.txt 2025-06-05T23:19:02.0501558Z writing top-level names to /tmp/pip-modern-metadata-dnasa8sb/executorch.egg-info/top_level.txt 2025-06-05T23:19:02.0502290Z writing manifest file '/tmp/pip-modern-metadata-dnasa8sb/executorch.egg-info/SOURCES.txt' 2025-06-05T23:19:02.0503028Z reading manifest file '/tmp/pip-modern-metadata-dnasa8sb/executorch.egg-info/SOURCES.txt' 2025-06-05T23:19:02.0503553Z adding license file 'LICENSE' 2025-06-05T23:19:02.0504096Z writing manifest file '/tmp/pip-modern-metadata-dnasa8sb/executorch.egg-info/SOURCES.txt' 2025-06-05T23:19:02.0504804Z creating '/tmp/pip-modern-metadata-dnasa8sb/executorch-0.7.0a0+bd57234.dist-info' 2025-06-05T23:19:02.0505471Z Preparing metadata (pyproject.toml) ... 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Downloading execnet-2.1.1-py3-none-any.whl (40 kB) 2025-06-05T23:19:03.3316545Z Downloading tabulate-0.9.0-py3-none-any.whl (35 kB) 2025-06-05T23:19:03.3316943Z Building wheels for collected packages: executorch 2025-06-05T23:19:03.3317377Z Running command Building wheel for executorch (pyproject.toml) 2025-06-05T23:19:03.3318463Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/config/_apply_pyprojecttoml.py:82: SetuptoolsDeprecationWarning: `project.license` as a TOML table is deprecated 2025-06-05T23:19:03.3319338Z !! 2025-06-05T23:19:03.3319461Z 2025-06-05T23:19:03.3319578Z ******************************************************************************** 2025-06-05T23:19:03.3320410Z Please use a simple string containing a SPDX expression for `project.license`. You can also use `project.license-files`. (Both options available on setuptools>=77.0.0). 2025-06-05T23:19:03.3321113Z 2025-06-05T23:19:03.3321326Z By 2026-Feb-18, you need to update your project and remove deprecated calls 2025-06-05T23:19:03.3321792Z or your builds will no longer be supported. 2025-06-05T23:19:03.3322022Z 2025-06-05T23:19:03.3322368Z See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details. 2025-06-05T23:19:03.3322950Z ******************************************************************************** 2025-06-05T23:19:03.3323183Z 2025-06-05T23:19:03.3323269Z !! 2025-06-05T23:19:03.3323465Z corresp(dist, value, root_dir) 2025-06-05T23:19:03.3324307Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/config/_apply_pyprojecttoml.py:61: SetuptoolsDeprecationWarning: License classifiers are deprecated. 2025-06-05T23:19:03.3325147Z !! 2025-06-05T23:19:03.3325248Z 2025-06-05T23:19:03.3325363Z ******************************************************************************** 2025-06-05T23:19:03.3325900Z Please consider removing the following classifiers in favor of a SPDX license expression: 2025-06-05T23:19:03.3326310Z 2025-06-05T23:19:03.3326554Z License :: OSI Approved :: BSD License 2025-06-05T23:19:03.3326787Z 2025-06-05T23:19:03.3327129Z See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details. 2025-06-05T23:19:03.3327706Z ******************************************************************************** 2025-06-05T23:19:03.3327935Z 2025-06-05T23:19:03.3328010Z !! 2025-06-05T23:19:03.3328229Z dist._finalize_license_expression() 2025-06-05T23:19:03.3328981Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/setuptools/dist.py:759: SetuptoolsDeprecationWarning: License classifiers are deprecated. 2025-06-05T23:19:03.3329716Z !! 2025-06-05T23:19:03.3329819Z 2025-06-05T23:19:03.3329937Z ******************************************************************************** 2025-06-05T23:19:03.3330543Z Please consider removing the following classifiers in favor of a SPDX license expression: 2025-06-05T23:19:03.3330954Z 2025-06-05T23:19:03.3331084Z License :: OSI Approved :: BSD License 2025-06-05T23:19:03.3331370Z 2025-06-05T23:19:03.3331712Z See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details. 2025-06-05T23:19:03.3332288Z ******************************************************************************** 2025-06-05T23:19:03.3332522Z 2025-06-05T23:19:03.3332610Z !! 2025-06-05T23:19:03.3332810Z self._finalize_license_expression() 2025-06-05T23:19:03.3333112Z running bdist_wheel 2025-06-05T23:19:03.3333333Z running build 2025-06-05T23:19:03.3333571Z command options for 'CustomBuild': 2025-06-05T23:19:03.3333854Z build_base = pip-out 2025-06-05T23:19:03.3334114Z build_purelib = pip-out/lib 2025-06-05T23:19:03.3334436Z build_platlib = pip-out/lib.linux-x86_64-cpython-310 2025-06-05T23:19:03.3334835Z build_lib = pip-out/lib.linux-x86_64-cpython-310 2025-06-05T23:19:03.3335180Z build_scripts = pip-out/scripts-3.10 2025-06-05T23:19:03.3335542Z build_temp = pip-out/temp.linux-x86_64-cpython-310 2025-06-05T23:19:03.3335896Z plat_name = linux-x86_64 2025-06-05T23:19:03.3336148Z compiler = None 2025-06-05T23:19:03.3336381Z parallel = None 2025-06-05T23:19:03.3336590Z debug = None 2025-06-05T23:19:03.3336808Z force = None 2025-06-05T23:19:03.3337056Z executable = /opt/conda/envs/py_3.10/bin/python 2025-06-05T23:19:03.3337549Z creating /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out 2025-06-05T23:19:03.3338149Z clearing /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out 2025-06-05T23:19:03.3338610Z Preset CMake variables: 2025-06-05T23:19:03.3338771Z 2025-06-05T23:19:03.3338891Z CMAKE_OSX_DEPLOYMENT_TARGET="12.0" 2025-06-05T23:19:03.3339357Z EXECUTORCH_BUILD_PRESET_FILE="/pytorch/executorch/tools/cmake/preset/pybind.cmake" 2025-06-05T23:19:03.3339742Z 2025-06-05T23:19:06.9143643Z -- The C compiler identification is Clang 12.0.1 2025-06-05T23:19:06.9144347Z -- The CXX compiler identification is Clang 12.0.1 2025-06-05T23:19:06.9144767Z -- Detecting C compiler ABI info 2025-06-05T23:19:06.9145083Z -- Detecting C compiler ABI info - done 2025-06-05T23:19:06.9145461Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2025-06-05T23:19:06.9145855Z -- Detecting C compile features 2025-06-05T23:19:06.9146162Z -- Detecting C compile features - done 2025-06-05T23:19:06.9146468Z -- Detecting CXX compiler ABI info 2025-06-05T23:19:06.9146785Z -- Detecting CXX compiler ABI info - done 2025-06-05T23:19:06.9147166Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2025-06-05T23:19:06.9147564Z -- Detecting CXX compile features 2025-06-05T23:19:06.9147867Z -- Detecting CXX compile features - done 2025-06-05T23:19:06.9148329Z -- Loading build preset: /pytorch/executorch/tools/cmake/preset/pybind.cmake 2025-06-05T23:19:06.9148839Z -- --- Configured Options --- 2025-06-05T23:19:06.9149089Z 2025-06-05T23:19:06.9149569Z -- CMAKE_CXX_STANDARD : 17 2025-06-05T23:19:06.9150199Z -- CMAKE_SYSTEM_PROCESSOR : x86_64 2025-06-05T23:19:06.9150677Z -- CMAKE_BUILD_TYPE : Release 2025-06-05T23:19:06.9151114Z -- PYTHON_EXECUTABLE : /opt/conda/envs/py_3.10/bin/python 2025-06-05T23:19:06.9151546Z -- CMAKE_CXX_COMPILER_ID : Clang 2025-06-05T23:19:06.9151914Z -- CMAKE_TOOLCHAIN_FILE x (unset) 2025-06-05T23:19:06.9152244Z -- BUCK2 : 2025-06-05T23:19:06.9152739Z -- EXECUTORCH_BUILD_PRESET_FILE : /pytorch/executorch/tools/cmake/preset/pybind.cmake 2025-06-05T23:19:06.9153259Z -- EXECUTORCH_ENABLE_LOGGING : ON 2025-06-05T23:19:06.9153599Z -- EXECUTORCH_BUILD_COREML : ON 2025-06-05T23:19:06.9154104Z -- EXECUTORCH_FLATBUFFERS_MAX_ALIGNMENT : 1024 2025-06-05T23:19:06.9154468Z -- EXECUTORCH_PAL_DEFAULT : posix 2025-06-05T23:19:06.9155013Z -- EXECUTORCH_PAL_DEFAULT_FILE_PATH : /pytorch/executorch/runtime/platform/default/posix.cpp 2025-06-05T23:19:06.9155543Z -- EXECUTORCH_LOG_LEVEL : Info 2025-06-05T23:19:06.9155917Z -- EXECUTORCH_ENABLE_PROGRAM_VERIFICATION : OFF 2025-06-05T23:19:06.9156337Z -- EXECUTORCH_ENABLE_EVENT_TRACER : OFF 2025-06-05T23:19:06.9156680Z -- EXECUTORCH_OPTIMIZE_SIZE : OFF 2025-06-05T23:19:06.9157037Z -- EXECUTORCH_BUILD_ARM_BAREMETAL : OFF 2025-06-05T23:19:06.9157400Z -- EXECUTORCH_BUILD_KERNELS_CUSTOM : ON 2025-06-05T23:19:06.9157747Z -- EXECUTORCH_BUILD_KERNELS_CUSTOM_AOT : ON 2025-06-05T23:19:06.9158109Z -- EXECUTORCH_BUILD_KERNELS_QUANTIZED_AOT : ON 2025-06-05T23:19:06.9158461Z -- EXECUTORCH_BUILD_EXTENSION_DATA_LOADER : OFF 2025-06-05T23:19:06.9158830Z -- EXECUTORCH_BUILD_EXTENSION_FLAT_TENSOR : ON 2025-06-05T23:19:06.9159176Z -- EXECUTORCH_BUILD_EXTENSION_LLM : OFF 2025-06-05T23:19:06.9159539Z -- EXECUTORCH_BUILD_EXTENSION_MODULE : OFF 2025-06-05T23:19:06.9159888Z -- EXECUTORCH_BUILD_EXTENSION_RUNNER_UTIL : ON 2025-06-05T23:19:06.9160245Z -- EXECUTORCH_BUILD_EXTENSION_TENSOR : ON 2025-06-05T23:19:06.9160603Z -- EXECUTORCH_BUILD_EXTENSION_TRAINING : OFF 2025-06-05T23:19:06.9160953Z -- EXECUTORCH_BUILD_EXTENSION_APPLE : OFF 2025-06-05T23:19:06.9161306Z -- EXECUTORCH_BUILD_MPS : OFF 2025-06-05T23:19:06.9161638Z -- EXECUTORCH_BUILD_NEURON : OFF 2025-06-05T23:19:06.9161983Z -- EXECUTORCH_BUILD_OPENVINO : OFF 2025-06-05T23:19:06.9162319Z -- EXECUTORCH_BUILD_PYBIND : ON 2025-06-05T23:19:06.9162660Z -- EXECUTORCH_BUILD_QNN : OFF 2025-06-05T23:19:06.9162999Z -- EXECUTORCH_BUILD_KERNELS_OPTIMIZED : OFF 2025-06-05T23:19:06.9163366Z -- EXECUTORCH_BUILD_KERNELS_QUANTIZED : ON 2025-06-05T23:19:06.9163717Z -- EXECUTORCH_BUILD_DEVTOOLS : OFF 2025-06-05T23:19:06.9164059Z -- EXECUTORCH_BUILD_TESTS : OFF 2025-06-05T23:19:06.9164404Z -- EXECUTORCH_NNLIB_OPT : OFF 2025-06-05T23:19:06.9164741Z -- EXECUTORCH_CADENCE_CPU_RUNNER : OFF 2025-06-05T23:19:06.9165092Z -- EXECUTORCH_BUILD_SIZE_TEST : OFF 2025-06-05T23:19:06.9165435Z -- EXECUTORCH_BUILD_XNNPACK : ON 2025-06-05T23:19:06.9165782Z -- EXECUTORCH_BUILD_VULKAN : OFF 2025-06-05T23:19:06.9166137Z -- EXECUTORCH_BUILD_PORTABLE_OPS : ON 2025-06-05T23:19:06.9166472Z -- EXECUTORCH_USE_DL : ON 2025-06-05T23:19:06.9166818Z -- EXECUTORCH_BUILD_CADENCE : OFF 2025-06-05T23:19:06.9167156Z -- EXECUTORCH_BUILD_CORTEX_M : OFF 2025-06-05T23:19:06.9167506Z -- EXECUTORCH_BUILD_GFLAGS : ON 2025-06-05T23:19:06.9167854Z -- EXECUTORCH_COREML_BUILD_EXECUTOR_RUNNER : OFF 2025-06-05T23:19:06.9168219Z -- EXECUTORCH_BUILD_PTHREADPOOL : ON 2025-06-05T23:19:06.9168651Z -- EXECUTORCH_BUILD_CPUINFO : ON 2025-06-05T23:19:06.9169011Z -- EXECUTORCH_BUILD_EXECUTOR_RUNNER : OFF 2025-06-05T23:19:06.9169373Z -- EXECUTORCH_XNNPACK_SHARED_WORKSPACE : ON 2025-06-05T23:19:06.9169722Z -- EXECUTORCH_XNNPACK_ENABLE_KLEIDI : OFF 2025-06-05T23:19:06.9170085Z -- EXECUTORCH_XNNPACK_ENABLE_WEIGHT_CACHE : OFF 2025-06-05T23:19:06.9170405Z -- -------------------------- 2025-06-05T23:19:06.9170839Z -- Using the multi-header code from /pytorch/executorch/third-party/json/include/ 2025-06-05T23:19:06.9171514Z CMake Deprecation Warning at third-party/pybind11/CMakeLists.txt:13 (cmake_minimum_required): 2025-06-05T23:19:06.9172166Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-06-05T23:19:06.9172870Z CMake. 2025-06-05T23:19:06.9173030Z 2025-06-05T23:19:06.9173254Z Update the VERSION argument value. Or, use the ... syntax 2025-06-05T23:19:06.9173824Z to tell CMake that the project requires at least but has been updated 2025-06-05T23:19:06.9174531Z to work with policies introduced by or earlier. 2025-06-05T23:19:06.9174797Z 2025-06-05T23:19:06.9174801Z 2025-06-05T23:19:06.9174894Z -- pybind11 v2.13.6 2025-06-05T23:19:06.9175476Z -- Found PythonInterp: /opt/conda/envs/py_3.10/bin/python (found suitable version "3.10.16", minimum required is "3.7") 2025-06-05T23:19:06.9176422Z -- Found PythonLibs: /opt/conda/envs/py_3.10/lib/libpython3.10.so 2025-06-05T23:19:06.9176900Z -- Performing Test HAS_FLTO_THIN 2025-06-05T23:19:06.9177206Z -- Performing Test HAS_FLTO_THIN - Success 2025-06-05T23:19:06.9177832Z CMake Deprecation Warning at third-party/flatcc/CMakeLists.txt:2 (cmake_minimum_required): 2025-06-05T23:19:06.9178455Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-06-05T23:19:06.9179004Z CMake. 2025-06-05T23:19:06.9179125Z 2025-06-05T23:19:06.9179438Z Update the VERSION argument value. Or, use the ... syntax 2025-06-05T23:19:06.9179993Z to tell CMake that the project requires at least but has been updated 2025-06-05T23:19:06.9180514Z to work with policies introduced by or earlier. 2025-06-05T23:19:06.9180808Z 2025-06-05T23:19:06.9180813Z 2025-06-05T23:19:06.9180980Z -- dist install dir /pytorch/executorch/third-party/flatcc 2025-06-05T23:19:06.9181431Z -- lib install dir /pytorch/executorch/third-party/flatcc/lib 2025-06-05T23:19:06.9181808Z -- Setting Clang compiler options 2025-06-05T23:19:06.9182706Z -- Configured C_FLAGS: -DFLATCC_REFLECTION=0 -Wstrict-prototypes -Wsign-conversion -Wconversion -std=c11 -pedantic -Wall -Wextra -Werror 2025-06-05T23:19:06.9183727Z CMake Deprecation Warning at backends/xnnpack/third-party/FXdiv/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED): 2025-06-05T23:19:06.9184571Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-06-05T23:19:06.9184980Z CMake. 2025-06-05T23:19:06.9185092Z 2025-06-05T23:19:06.9185342Z Update the VERSION argument value. Or, use the ... syntax 2025-06-05T23:19:06.9185974Z to tell CMake that the project requires at least but has been updated 2025-06-05T23:19:06.9186437Z to work with policies introduced by or earlier. 2025-06-05T23:19:06.9186700Z 2025-06-05T23:19:06.9186704Z 2025-06-05T23:19:06.9187087Z CMake Deprecation Warning at backends/xnnpack/third-party/cpuinfo/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED): 2025-06-05T23:19:06.9187896Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-06-05T23:19:06.9188292Z CMake. 2025-06-05T23:19:06.9188420Z 2025-06-05T23:19:06.9188635Z Update the VERSION argument value. Or, use the ... syntax 2025-06-05T23:19:06.9189281Z to tell CMake that the project requires at least but has been updated 2025-06-05T23:19:06.9189769Z to work with policies introduced by or earlier. 2025-06-05T23:19:06.9190018Z 2025-06-05T23:19:06.9190022Z 2025-06-05T23:19:06.9190347Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD 2025-06-05T23:19:06.9190878Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success 2025-06-05T23:19:06.9191235Z -- Found Threads: TRUE 2025-06-05T23:19:06.9191795Z CMake Deprecation Warning at backends/xnnpack/third-party/pthreadpool/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED): 2025-06-05T23:19:06.9192658Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-06-05T23:19:06.9193076Z CMake. 2025-06-05T23:19:06.9193187Z 2025-06-05T23:19:06.9193401Z Update the VERSION argument value. Or, use the ... syntax 2025-06-05T23:19:06.9193950Z to tell CMake that the project requires at least but has been updated 2025-06-05T23:19:06.9194415Z to work with policies introduced by or earlier. 2025-06-05T23:19:06.9194796Z 2025-06-05T23:19:06.9194800Z 2025-06-05T23:19:06.9194899Z -- Resolved buck2 as buck2. 2025-06-05T23:19:06.9195157Z -- Killing buck2 daemon 2025-06-05T23:19:06.9195408Z 'buck2 killall' 2025-06-05T23:19:06.9195656Z -- executorch: Generating source lists 2025-06-05T23:19:06.9196335Z -- executorch: Generating source file list /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/executorch_srcs.cmake 2025-06-05T23:19:06.9197340Z -- executorch: Using sources file /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/executorch_srcs.cmake 2025-06-05T23:19:06.9198347Z '/opt/conda/envs/py_3.10/bin/python' '-c' 'import importlib.util; print(importlib.util.find_spec('torch').submodule_search_locations[0])' 2025-06-05T23:19:06.9199039Z -- Generating operator lib: 2025-06-05T23:19:06.9199322Z -- LIB_NAME: portable_ops_lib 2025-06-05T23:19:06.9199719Z -- OPS_SCHEMA_YAML: /pytorch/executorch/kernels/portable/functions.yaml 2025-06-05T23:19:06.9200138Z -- ROOT_OPS: 2025-06-05T23:19:06.9200348Z -- INCLUDE_ALL_OPS: 2025-06-05T23:19:06.9201666Z Command - /opt/conda/envs/py_3.10/bin/python;-m;codegen.tools.gen_oplist;--output_path=/pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/kernels/portable/portable_ops_lib/selected_operators.yaml;--ops_schema_yaml_path="/pytorch/executorch/kernels/portable/functions.yaml" 2025-06-05T23:19:06.9203030Z -- Generating kernel bindings: 2025-06-05T23:19:06.9203318Z -- LIB_NAME: portable_ops_lib 2025-06-05T23:19:06.9203721Z -- FUNCTIONS_YAML: /pytorch/executorch/kernels/portable/functions.yaml 2025-06-05T23:19:06.9204136Z -- CUSTOM_OPS_YAML: 2025-06-05T23:19:06.9204398Z -- ADD_EXCEPTION_BOUNDARY: FALSE 2025-06-05T23:19:06.9206316Z Generated files /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/kernels/portable/portable_ops_lib/RegisterCodegenUnboxedKernelsEverything.cpp;/pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/kernels/portable/portable_ops_lib/Functions.h;/pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/kernels/portable/portable_ops_lib/NativeFunctions.h 2025-06-05T23:19:06.9208265Z -- Generating operator lib: 2025-06-05T23:19:06.9208545Z -- LIB_NAME: portable_ops_lib 2025-06-05T23:19:06.9208821Z -- KERNEL_LIBS: portable_kernels 2025-06-05T23:19:16.9273719Z -- DEPS: executorch_core 2025-06-05T23:19:16.9274141Z -- Generating operator lib: 2025-06-05T23:19:16.9274421Z -- LIB_NAME: optimized_ops_lib 2025-06-05T23:19:16.9274851Z -- OPS_SCHEMA_YAML: /pytorch/executorch/kernels/optimized/optimized.yaml 2025-06-05T23:19:16.9275268Z -- ROOT_OPS: 2025-06-05T23:19:16.9275494Z -- INCLUDE_ALL_OPS: 2025-06-05T23:19:16.9277110Z Command - /opt/conda/envs/py_3.10/bin/python;-m;codegen.tools.gen_oplist;--output_path=/pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/kernels/optimized/optimized_ops_lib/selected_operators.yaml;--ops_schema_yaml_path="/pytorch/executorch/kernels/optimized/optimized.yaml" 2025-06-05T23:19:16.9278970Z -- Generating kernel bindings: 2025-06-05T23:19:16.9279305Z -- LIB_NAME: optimized_ops_lib 2025-06-05T23:19:16.9280004Z -- FUNCTIONS_YAML: /pytorch/executorch/kernels/optimized/optimized.yaml 2025-06-05T23:19:16.9280446Z -- CUSTOM_OPS_YAML: 2025-06-05T23:19:16.9280692Z -- ADD_EXCEPTION_BOUNDARY: TRUE 2025-06-05T23:19:16.9282658Z Generated files /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/kernels/optimized/optimized_ops_lib/RegisterCodegenUnboxedKernelsEverything.cpp;/pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/kernels/optimized/optimized_ops_lib/Functions.h;/pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/kernels/optimized/optimized_ops_lib/NativeFunctions.h 2025-06-05T23:19:16.9284625Z -- Generating operator lib: 2025-06-05T23:19:16.9284902Z -- LIB_NAME: optimized_ops_lib 2025-06-05T23:19:16.9285199Z -- KERNEL_LIBS: optimized_kernels 2025-06-05T23:19:16.9285604Z -- DEPS: executorch_core 2025-06-05T23:19:16.9285884Z -- Merging kernel yaml files: 2025-06-05T23:19:16.9286380Z -- FUNCTIONS_YAML: /pytorch/executorch/configurations/../kernels/optimized/optimized.yaml 2025-06-05T23:19:16.9287078Z -- FALLBACK_YAML: /pytorch/executorch/configurations/../kernels/portable/functions.yaml 2025-06-05T23:19:16.9287816Z -- OUTPUT_DIR: /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/configurations 2025-06-05T23:19:16.9288343Z -- Generating operator lib: 2025-06-05T23:19:16.9288643Z -- LIB_NAME: optimized_native_cpu_ops_lib 2025-06-05T23:19:16.9289248Z -- OPS_SCHEMA_YAML: /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/configurations/merged.yaml 2025-06-05T23:19:16.9289837Z -- ROOT_OPS: 2025-06-05T23:19:16.9290060Z -- INCLUDE_ALL_OPS: 2025-06-05T23:19:16.9291568Z Command - /opt/conda/envs/py_3.10/bin/python;-m;codegen.tools.gen_oplist;--output_path=/pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/configurations/optimized_native_cpu_ops_lib/selected_operators.yaml;--ops_schema_yaml_path="/pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/configurations/merged.yaml" 2025-06-05T23:19:16.9293149Z -- Generating kernel bindings: 2025-06-05T23:19:16.9293493Z -- LIB_NAME: optimized_native_cpu_ops_lib 2025-06-05T23:19:16.9294102Z -- FUNCTIONS_YAML: /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/configurations/merged.yaml 2025-06-05T23:19:16.9294699Z -- CUSTOM_OPS_YAML: 2025-06-05T23:19:16.9294942Z -- ADD_EXCEPTION_BOUNDARY: TRUE 2025-06-05T23:19:16.9296974Z Generated files /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/configurations/optimized_native_cpu_ops_lib/RegisterCodegenUnboxedKernelsEverything.cpp;/pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/configurations/optimized_native_cpu_ops_lib/Functions.h;/pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/configurations/optimized_native_cpu_ops_lib/NativeFunctions.h 2025-06-05T23:19:16.9299025Z -- Generating operator lib: 2025-06-05T23:19:16.9299316Z -- LIB_NAME: optimized_native_cpu_ops_lib 2025-06-05T23:19:16.9299725Z -- KERNEL_LIBS: optimized_kernels;optimized_portable_kernels 2025-06-05T23:19:16.9300099Z -- DEPS: executorch_core 2025-06-05T23:19:16.9300578Z CMake Deprecation Warning at third-party/gflags/CMakeLists.txt:73 (cmake_minimum_required): 2025-06-05T23:19:16.9301224Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-06-05T23:19:16.9301626Z CMake. 2025-06-05T23:19:16.9301742Z 2025-06-05T23:19:16.9301971Z Update the VERSION argument value. Or, use the ... syntax 2025-06-05T23:19:16.9302509Z to tell CMake that the project requires at least but has been updated 2025-06-05T23:19:16.9302985Z to work with policies introduced by or earlier. 2025-06-05T23:19:16.9303235Z 2025-06-05T23:19:16.9303240Z 2025-06-05T23:19:16.9303362Z -- Looking for C++ include unistd.h 2025-06-05T23:19:16.9303668Z -- Looking for C++ include unistd.h - found 2025-06-05T23:19:16.9303996Z -- Looking for C++ include stdint.h 2025-06-05T23:19:16.9304366Z -- Looking for C++ include stdint.h - found 2025-06-05T23:19:16.9304698Z -- Looking for C++ include inttypes.h 2025-06-05T23:19:16.9305016Z -- Looking for C++ include inttypes.h - found 2025-06-05T23:19:16.9305355Z -- Looking for C++ include sys/types.h 2025-06-05T23:19:16.9305676Z -- Looking for C++ include sys/types.h - found 2025-06-05T23:19:16.9306036Z -- Looking for C++ include sys/stat.h 2025-06-05T23:19:16.9306359Z -- Looking for C++ include sys/stat.h - found 2025-06-05T23:19:16.9306678Z -- Looking for C++ include fnmatch.h 2025-06-05T23:19:16.9307002Z -- Looking for C++ include fnmatch.h - found 2025-06-05T23:19:16.9307319Z -- Looking for C++ include stddef.h 2025-06-05T23:19:16.9307637Z -- Looking for C++ include stddef.h - found 2025-06-05T23:19:16.9307942Z -- Check size of uint32_t 2025-06-05T23:19:16.9308279Z -- Check size of uint32_t - done 2025-06-05T23:19:16.9308553Z -- Looking for strtoll 2025-06-05T23:19:16.9308824Z -- Looking for strtoll - found 2025-06-05T23:19:16.9309228Z -- The ASM compiler identification is Clang with GNU-like command-line 2025-06-05T23:19:16.9309652Z -- Found assembler: /opt/cache/bin/cc 2025-06-05T23:19:16.9310002Z -- Building for XNNPACK_TARGET_PROCESSOR: x86_64 2025-06-05T23:19:16.9310689Z -- Found Python: /opt/conda/envs/py_3.10/bin/python3.10 (found version "3.10.16") found components: Interpreter 2025-06-05T23:19:16.9311282Z -- Generating microkernels.cmake 2025-06-05T23:19:16.9311650Z No microkernel found in src/reference/binary-elementwise.cc 2025-06-05T23:19:16.9312079Z No microkernel found in src/reference/packing.cc 2025-06-05T23:19:16.9312501Z No microkernel found in src/reference/unary-elementwise.cc 2025-06-05T23:19:16.9313249Z '/opt/conda/envs/py_3.10/bin/python' '-c' 'import importlib.util; print(importlib.util.find_spec('torch').submodule_search_locations[0])' 2025-06-05T23:19:16.9313961Z -- MKL_ARCH: None, set to ` intel64` by default 2025-06-05T23:19:16.9314290Z -- MKL_ROOT /opt/conda/envs/py_3.10 2025-06-05T23:19:16.9314622Z -- MKL_LINK: None, set to ` dynamic` by default 2025-06-05T23:19:16.9315005Z -- MKL_INTERFACE_FULL: None, set to ` intel_ilp64` by default 2025-06-05T23:19:16.9315438Z -- MKL_THREADING: None, set to ` intel_thread` by default 2025-06-05T23:19:16.9315819Z -- MKL_MPI: None, set to ` intelmpi` by default 2025-06-05T23:19:16.9316496Z CMake Warning at /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:22 (message): 2025-06-05T23:19:16.9317204Z static library kineto_LIBRARY-NOTFOUND not found. 2025-06-05T23:19:16.9317548Z Call Stack (most recent call first): 2025-06-05T23:19:16.9318225Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:125 (append_torchlib_if_found) 2025-06-05T23:19:16.9318924Z tools/cmake/Utils.cmake:267 (find_package) 2025-06-05T23:19:16.9319263Z CMakeLists.txt:610 (find_package_torch) 2025-06-05T23:19:16.9319475Z 2025-06-05T23:19:16.9319479Z 2025-06-05T23:19:16.9319771Z -- Found Torch: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib/libtorch.so 2025-06-05T23:19:16.9320754Z -- executorch: Using source file list /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/extension/llm/custom_ops/../../../executorch_srcs.cmake 2025-06-05T23:19:16.9321565Z -- Generating operator lib: 2025-06-05T23:19:16.9321836Z -- LIB_NAME: quantized_ops_lib 2025-06-05T23:19:16.9322247Z -- OPS_SCHEMA_YAML: /pytorch/executorch/kernels/quantized/quantized.yaml 2025-06-05T23:19:16.9322667Z -- ROOT_OPS: 2025-06-05T23:19:16.9322878Z -- INCLUDE_ALL_OPS: 2025-06-05T23:19:16.9324200Z Command - /opt/conda/envs/py_3.10/bin/python;-m;codegen.tools.gen_oplist;--output_path=/pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/kernels/quantized/quantized_ops_lib/selected_operators.yaml;--ops_schema_yaml_path="/pytorch/executorch/kernels/quantized/quantized.yaml" 2025-06-05T23:19:16.9325570Z -- Generating kernel bindings: 2025-06-05T23:19:16.9325940Z -- LIB_NAME: quantized_ops_lib 2025-06-05T23:19:16.9326211Z -- FUNCTIONS_YAML: 2025-06-05T23:19:16.9326579Z -- CUSTOM_OPS_YAML: /pytorch/executorch/kernels/quantized/quantized.yaml 2025-06-05T23:19:16.9327015Z -- ADD_EXCEPTION_BOUNDARY: FALSE 2025-06-05T23:19:16.9330722Z Generated files /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/kernels/quantized/quantized_ops_lib/RegisterCodegenUnboxedKernelsEverything.cpp;/pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/kernels/quantized/quantized_ops_lib/Functions.h;/pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/kernels/quantized/quantized_ops_lib/NativeFunctions.h;/pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/kernels/quantized/quantized_ops_lib/RegisterCPUCustomOps.cpp;/pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/kernels/quantized/quantized_ops_lib/RegisterSchema.cpp;/pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/kernels/quantized/quantized_ops_lib/CustomOpsNativeFunctions.h 2025-06-05T23:19:16.9334477Z -- Generating operator lib: 2025-06-05T23:19:16.9334759Z -- LIB_NAME: quantized_ops_aot_lib 2025-06-05T23:19:16.9335043Z -- OPS_SCHEMA_YAML: 2025-06-05T23:19:16.9337621Z -- ROOT_OPS: quantized_decomposed::add.out;quantized_decomposed::choose_qparams.Tensor_out;quantized_decomposed::choose_qparams_per_token_asymmetric.out;quantized_decomposed::dequantize_per_channel.out;quantized_decomposed::dequantize_per_tensor.out;quantized_decomposed::dequantize_per_tensor.Tensor_out;quantized_decomposed::dequantize_per_token.out;quantized_decomposed::mixed_linear.out;quantized_decomposed::mixed_mm.out;quantized_decomposed::quantize_per_channel.out;quantized_decomposed::quantize_per_tensor.out;quantized_decomposed::quantize_per_tensor.Tensor_out;quantized_decomposed::quantize_per_token.out 2025-06-05T23:19:16.9340205Z -- INCLUDE_ALL_OPS: 2025-06-05T23:19:17.9344810Z Command - /opt/conda/envs/py_3.10/bin/python;-m;codegen.tools.gen_oplist;--output_path=/pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/kernels/quantized/quantized_ops_aot_lib/selected_operators.yaml;--root_ops="quantized_decomposed::add.out;quantized_decomposed::choose_qparams.Tensor_out;quantized_decomposed::choose_qparams_per_token_asymmetric.out;quantized_decomposed::dequantize_per_channel.out;quantized_decomposed::dequantize_per_tensor.out;quantized_decomposed::dequantize_per_tensor.Tensor_out;quantized_decomposed::dequantize_per_token.out;quantized_decomposed::mixed_linear.out;quantized_decomposed::mixed_mm.out;quantized_decomposed::quantize_per_channel.out;quantized_decomposed::quantize_per_tensor.out;quantized_decomposed::quantize_per_tensor.Tensor_out;quantized_decomposed::quantize_per_token.out" 2025-06-05T23:19:17.9352241Z -- Generating kernel bindings: 2025-06-05T23:19:17.9352796Z -- LIB_NAME: quantized_ops_aot_lib 2025-06-05T23:19:17.9353358Z -- FUNCTIONS_YAML: 2025-06-05T23:19:17.9354033Z -- CUSTOM_OPS_YAML: /pytorch/executorch/kernels/quantized/quantized.yaml 2025-06-05T23:19:17.9354866Z -- ADD_EXCEPTION_BOUNDARY: FALSE 2025-06-05T23:19:17.9355426Z -- Generating custom ops aot lib: 2025-06-05T23:19:17.9355993Z -- LIB_NAME: quantized_ops_aot_lib 2025-06-05T23:19:17.9357033Z -- KERNEL_SOURCE: /pytorch/executorch/kernels/quantized/../../kernels/quantized/cpu/embeddingxb.cpp 2025-06-05T23:19:17.9358558Z -- KERNEL_SOURCE: /pytorch/executorch/kernels/quantized/../../kernels/quantized/cpu/op_add.cpp 2025-06-05T23:19:17.9360115Z -- KERNEL_SOURCE: /pytorch/executorch/kernels/quantized/../../kernels/quantized/cpu/op_choose_qparams.cpp 2025-06-05T23:19:17.9361723Z -- KERNEL_SOURCE: /pytorch/executorch/kernels/quantized/../../kernels/quantized/cpu/op_dequantize.cpp 2025-06-05T23:19:17.9363304Z -- KERNEL_SOURCE: /pytorch/executorch/kernels/quantized/../../kernels/quantized/cpu/op_embedding.cpp 2025-06-05T23:19:17.9365143Z -- KERNEL_SOURCE: /pytorch/executorch/kernels/quantized/../../kernels/quantized/cpu/op_embedding2b.cpp 2025-06-05T23:19:17.9366762Z -- KERNEL_SOURCE: /pytorch/executorch/kernels/quantized/../../kernels/quantized/cpu/op_embedding4b.cpp 2025-06-05T23:19:17.9368370Z -- KERNEL_SOURCE: /pytorch/executorch/kernels/quantized/../../kernels/quantized/cpu/op_mixed_linear.cpp 2025-06-05T23:19:17.9369944Z -- KERNEL_SOURCE: /pytorch/executorch/kernels/quantized/../../kernels/quantized/cpu/op_mixed_mm.cpp 2025-06-05T23:19:17.9371498Z -- KERNEL_SOURCE: /pytorch/executorch/kernels/quantized/../../kernels/quantized/cpu/op_quantize.cpp 2025-06-05T23:19:17.9373282Z -- KERNEL_SOURCE: /pytorch/executorch/kernels/quantized/../../kernels/portable/cpu/util/reduce_util.cpp 2025-06-05T23:19:17.9374955Z -- KERNEL_SOURCE: /pytorch/executorch/kernels/quantized/../../runtime/core/exec_aten/util/tensor_util_aten.cpp 2025-06-05T23:19:17.9376338Z -- Generating operator lib: 2025-06-05T23:19:17.9376866Z -- LIB_NAME: quantized_ops_pybind_lib 2025-06-05T23:19:17.9377701Z -- OPS_SCHEMA_YAML: /pytorch/executorch/kernels/quantized/quantized.yaml 2025-06-05T23:19:17.9378483Z -- ROOT_OPS: 2025-06-05T23:19:17.9378887Z -- INCLUDE_ALL_OPS: 2025-06-05T23:19:17.9381541Z Command - /opt/conda/envs/py_3.10/bin/python;-m;codegen.tools.gen_oplist;--output_path=/pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/kernels/quantized/quantized_ops_pybind_lib/selected_operators.yaml;--ops_schema_yaml_path="/pytorch/executorch/kernels/quantized/quantized.yaml" 2025-06-05T23:19:17.9384345Z -- Generating kernel bindings: 2025-06-05T23:19:17.9384912Z -- LIB_NAME: quantized_ops_pybind_lib 2025-06-05T23:19:17.9385471Z -- FUNCTIONS_YAML: 2025-06-05T23:19:17.9386547Z -- CUSTOM_OPS_YAML: /pytorch/executorch/kernels/quantized/quantized.yaml 2025-06-05T23:19:17.9387381Z -- ADD_EXCEPTION_BOUNDARY: FALSE 2025-06-05T23:19:17.9387952Z -- Generating operator lib: 2025-06-05T23:19:17.9388478Z -- LIB_NAME: quantized_ops_pybind_lib 2025-06-05T23:19:17.9389126Z -- KERNEL_LIBS: quantized_pybind_kernels_lib 2025-06-05T23:19:17.9389731Z -- DEPS: portable_lib 2025-06-05T23:19:17.9390217Z -- Generating operator lib: 2025-06-05T23:19:17.9390815Z -- LIB_NAME: quantized_ops_lib 2025-06-05T23:19:17.9391351Z -- KERNEL_LIBS: quantized_kernels 2025-06-05T23:19:17.9391898Z -- DEPS: executorch_core 2025-06-05T23:19:17.9392392Z -- Configuring done (13.7s) 2025-06-05T23:19:17.9392900Z -- Generating done (0.4s) 2025-06-05T23:19:17.9393847Z -- Build files have been written to: /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out 2025-06-05T23:19:17.9396270Z cmake --build /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out -j7 --config=Release --target portable_lib --target executorchcoreml --target custom_ops_aot_lib --target quantized_ops_aot_lib 2025-06-05T23:19:17.9398358Z [ 0%] Creating directories for 'flatbuffers_external_project' 2025-06-05T23:19:17.9399172Z [ 0%] Creating directories for 'flatcc_external_project' 2025-06-05T23:19:17.9400427Z [ 0%] Building C object backends/xnnpack/third-party/pthreadpool/CMakeFiles/pthreadpool.dir/src/legacy-api.c.o 2025-06-05T23:19:17.9402186Z [ 0%] Building C object backends/xnnpack/third-party/pthreadpool/CMakeFiles/pthreadpool.dir/src/portable-api.c.o 2025-06-05T23:19:17.9403801Z [ 0%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/api.c.o 2025-06-05T23:19:17.9405333Z [ 0%] Building C object backends/xnnpack/third-party/pthreadpool/CMakeFiles/pthreadpool.dir/src/memory.c.o 2025-06-05T23:19:17.9406971Z [ 0%] Building CXX object kernels/optimized/CMakeFiles/eigen_blas.dir/third-party/eigen/blas/single.cpp.o 2025-06-05T23:19:17.9408177Z [ 0%] No download step for 'flatbuffers_external_project' 2025-06-05T23:19:17.9408917Z [ 0%] No download step for 'flatcc_external_project' 2025-06-05T23:19:17.9409642Z [ 0%] No update step for 'flatbuffers_external_project' 2025-06-05T23:19:17.9410586Z [ 0%] No update step for 'flatcc_external_project' 2025-06-05T23:19:17.9411305Z [ 0%] No patch step for 'flatbuffers_external_project' 2025-06-05T23:19:17.9412002Z [ 0%] No patch step for 'flatcc_external_project' 2025-06-05T23:19:17.9412760Z [ 0%] Performing configure step for 'flatcc_external_project' 2025-06-05T23:19:17.9413663Z [ 1%] Performing configure step for 'flatbuffers_external_project' 2025-06-05T23:19:17.9414400Z CMake Warning: 2025-06-05T23:19:17.9414947Z Ignoring empty string ("") provided on the command line. 2025-06-05T23:19:17.9415475Z 2025-06-05T23:19:17.9415484Z 2025-06-05T23:19:17.9415928Z CMake Deprecation Warning at CMakeLists.txt:2 (cmake_minimum_required): 2025-06-05T23:19:17.9416975Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-06-05T23:19:17.9417874Z CMake. 2025-06-05T23:19:17.9418078Z 2025-06-05T23:19:17.9418494Z Update the VERSION argument value. Or, use the ... syntax 2025-06-05T23:19:17.9419558Z to tell CMake that the project requires at least but has been updated 2025-06-05T23:19:17.9420452Z to work with policies introduced by or earlier. 2025-06-05T23:19:17.9420948Z 2025-06-05T23:19:17.9420956Z 2025-06-05T23:19:17.9421166Z CMake Warning: 2025-06-05T23:19:17.9421719Z Ignoring empty string ("") provided on the command line. 2025-06-05T23:19:17.9422239Z 2025-06-05T23:19:17.9422246Z 2025-06-05T23:19:17.9422487Z fatal: No names found, cannot describe anything. 2025-06-05T23:19:17.9423205Z CMake Warning at CMake/Version.cmake:32 (message): 2025-06-05T23:19:17.9423880Z git describe failed with exit code: 128 2025-06-05T23:19:17.9424277Z 2025-06-05T23:19:17.9424579Z Make sure you cloned with tags or run 'git fetch --tags'. 2025-06-05T23:19:17.9425290Z Call Stack (most recent call first): 2025-06-05T23:19:17.9425840Z CMakeLists.txt:5 (include) 2025-06-05T23:19:17.9426183Z 2025-06-05T23:19:17.9426190Z 2025-06-05T23:19:17.9426387Z -- Proceeding with version: 24.3.25.0 2025-06-05T23:19:17.9427518Z [ 2%] Building C object backends/xnnpack/third-party/pthreadpool/CMakeFiles/pthreadpool.dir/src/pthreads.c.o 2025-06-05T23:19:17.9429141Z [ 2%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/cache.c.o 2025-06-05T23:19:17.9430723Z [ 2%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/init.c.o 2025-06-05T23:19:17.9432282Z [ 2%] Building C object backends/xnnpack/third-party/pthreadpool/CMakeFiles/pthreadpool.dir/src/fastpath.c.o 2025-06-05T23:19:17.9433511Z -- The C compiler identification is Clang 12.0.1 2025-06-05T23:19:17.9434160Z -- Detecting C compiler ABI info 2025-06-05T23:19:17.9435140Z [ 2%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/log.c.o 2025-06-05T23:19:17.9436613Z [ 2%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/x86/init.c.o 2025-06-05T23:19:17.9438121Z [ 2%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/x86/info.c.o 2025-06-05T23:19:17.9439219Z [ 2%] Linking C static library libpthreadpool.a 2025-06-05T23:19:17.9439914Z -- The CXX compiler identification is Clang 12.0.1 2025-06-05T23:19:17.9440570Z [ 2%] Built target pthreadpool 2025-06-05T23:19:17.9441571Z [ 2%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/x86/vendor.c.o 2025-06-05T23:19:17.9443158Z [ 2%] Building CXX object kernels/optimized/CMakeFiles/eigen_blas.dir/third-party/eigen/blas/double.cpp.o 2025-06-05T23:19:17.9444277Z -- Detecting CXX compiler ABI info 2025-06-05T23:19:17.9445298Z [ 2%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/x86/uarch.c.o 2025-06-05T23:19:17.9447733Z [ 2%] Building CXX object kernels/optimized/CMakeFiles/eigen_blas.dir/third-party/eigen/blas/complex_single.cpp.o 2025-06-05T23:19:17.9449408Z [ 2%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/x86/name.c.o 2025-06-05T23:19:17.9450646Z -- Detecting C compiler ABI info - done 2025-06-05T23:19:17.9451723Z [ 2%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/x86/topology.c.o 2025-06-05T23:19:17.9452939Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2025-06-05T23:19:17.9453661Z -- Detecting C compile features 2025-06-05T23:19:17.9454221Z -- Detecting C compile features - done 2025-06-05T23:19:17.9454930Z -- dist install dir /pytorch/executorch/third-party/flatcc 2025-06-05T23:19:17.9455753Z -- lib install dir /pytorch/executorch/third-party/flatcc/lib 2025-06-05T23:19:17.9456491Z -- Setting Clang compiler options 2025-06-05T23:19:17.9457802Z -- Configured C_FLAGS: -DFLATCC_REFLECTION=0 -Wstrict-prototypes -Wsign-conversion -Wconversion -std=c11 -pedantic -Wall -Wextra -Werror 2025-06-05T23:19:17.9459273Z -- Configuring done (0.3s) 2025-06-05T23:19:17.9460375Z [ 2%] Building CXX object kernels/optimized/CMakeFiles/eigen_blas.dir/third-party/eigen/blas/complex_double.cpp.o 2025-06-05T23:19:17.9461526Z -- Generating done (0.0s) 2025-06-05T23:19:18.9678730Z -- Build files have been written to: /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/third-party/flatcc_external_project/src/flatcc_external_project-build 2025-06-05T23:19:18.9680470Z [ 2%] Performing build step for 'flatcc_external_project' 2025-06-05T23:19:18.9681143Z [ 2%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/x86/isa.c.o 2025-06-05T23:19:18.9681808Z [ 3%] Building C object src/runtime/CMakeFiles/flatccrt.dir/builder.c.o 2025-06-05T23:19:18.9682748Z [ 2%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-avgpool/f16-avgpool-9p8x-minmax-f16c-c8.c.o 2025-06-05T23:19:18.9683561Z -- Detecting CXX compiler ABI info - done 2025-06-05T23:19:18.9683970Z -- Check for working CXX compiler: 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Building CXX object kernels/quantized/CMakeFiles/quantized_pybind_kernels_lib.dir/cpu/op_mixed_linear.cpp.o 2025-06-05T23:20:00.6606920Z [ 97%] Building CXX object kernels/quantized/CMakeFiles/quantized_pybind_kernels_lib.dir/cpu/op_mixed_mm.cpp.o 2025-06-05T23:20:00.6607780Z [ 98%] Building CXX object kernels/quantized/CMakeFiles/quantized_pybind_kernels_lib.dir/cpu/op_quantize.cpp.o 2025-06-05T23:20:00.6608438Z [ 98%] Linking CXX static library libquantized_pybind_kernels_lib.a 2025-06-05T23:20:00.6608859Z [ 98%] Built target quantized_pybind_kernels_lib 2025-06-05T23:20:05.9803641Z [ 98%] Generating selected_operators.yaml for quantized_ops_pybind_lib 2025-06-05T23:20:05.9804320Z [ 98%] Generating code for kernel registration 2025-06-05T23:20:05.9805186Z [ 98%] Building CXX object kernels/quantized/CMakeFiles/quantized_ops_pybind_lib.dir/quantized_ops_pybind_lib/RegisterCodegenUnboxedKernelsEverything.cpp.o 2025-06-05T23:20:05.9806170Z [ 98%] Linking CXX static library libquantized_ops_pybind_lib.a 2025-06-05T23:20:05.9806622Z [ 98%] Built target quantized_ops_pybind_lib 2025-06-05T23:20:05.9807052Z [ 98%] Generating selected_operators.yaml for quantized_ops_aot_lib 2025-06-05T23:20:05.9809803Z quantized_decomposed::add.out quantized_decomposed::choose_qparams.Tensor_out quantized_decomposed::choose_qparams_per_token_asymmetric.out quantized_decomposed::dequantize_per_channel.out quantized_decomposed::dequantize_per_tensor.out quantized_decomposed::dequantize_per_tensor.Tensor_out quantized_decomposed::dequantize_per_token.out quantized_decomposed::mixed_linear.out quantized_decomposed::mixed_mm.out quantized_decomposed::quantize_per_channel.out quantized_decomposed::quantize_per_tensor.out quantized_decomposed::quantize_per_tensor.Tensor_out quantized_decomposed::quantize_per_token.out 2025-06-05T23:20:05.9812435Z [ 98%] Generating code for kernel registration 2025-06-05T23:20:05.9813148Z [100%] Building CXX object kernels/quantized/CMakeFiles/quantized_ops_aot_lib.dir/quantized_ops_aot_lib/RegisterCPUCustomOps.cpp.o 2025-06-05T23:20:05.9814290Z [100%] Building CXX object kernels/quantized/CMakeFiles/quantized_ops_aot_lib.dir/quantized_ops_aot_lib/RegisterSchema.cpp.o 2025-06-05T23:20:05.9815198Z [100%] Building CXX object kernels/quantized/CMakeFiles/quantized_ops_aot_lib.dir/cpu/embeddingxb.cpp.o 2025-06-05T23:20:05.9816046Z [100%] Building CXX object kernels/quantized/CMakeFiles/quantized_ops_aot_lib.dir/cpu/op_add.cpp.o 2025-06-05T23:20:05.9816850Z [100%] Building CXX object kernels/quantized/CMakeFiles/quantized_ops_aot_lib.dir/cpu/op_choose_qparams.cpp.o 2025-06-05T23:20:05.9817767Z [100%] Building CXX object kernels/quantized/CMakeFiles/quantized_ops_aot_lib.dir/cpu/op_dequantize.cpp.o 2025-06-05T23:20:05.9818835Z [100%] Building CXX object kernels/quantized/CMakeFiles/quantized_ops_aot_lib.dir/cpu/op_embedding.cpp.o 2025-06-05T23:20:05.9819670Z [100%] Building CXX object 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libquantized_ops_aot_lib.so 2025-06-05T23:20:05.9826427Z [100%] Built target quantized_ops_aot_lib 2025-06-05T23:20:05.9826722Z running build_py 2025-06-05T23:20:05.9827059Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/codegen 2025-06-05T23:20:05.9827817Z copying src/executorch/codegen/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen 2025-06-05T23:20:05.9828586Z copying src/executorch/codegen/gen.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen 2025-06-05T23:20:05.9829346Z copying src/executorch/codegen/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen 2025-06-05T23:20:05.9830316Z copying src/executorch/codegen/parse.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen 2025-06-05T23:20:05.9831115Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools 2025-06-05T23:20:05.9831764Z copying src/executorch/devtools/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools 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pip-out/lib.linux-x86_64-cpython-310/executorch/exir 2025-06-05T23:20:05.9845201Z copying src/executorch/exir/print_program.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir 2025-06-05T23:20:05.9845965Z copying src/executorch/exir/scalar_type.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir 2025-06-05T23:20:05.9846773Z copying src/executorch/exir/schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir 2025-06-05T23:20:05.9847495Z copying src/executorch/exir/sym_util.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir 2025-06-05T23:20:05.9848269Z copying src/executorch/exir/tensor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir 2025-06-05T23:20:05.9849037Z copying src/executorch/exir/tracer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir 2025-06-05T23:20:05.9849839Z copying src/executorch/exir/types.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir 2025-06-05T23:20:05.9850574Z copying src/executorch/exir/version.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir 2025-06-05T23:20:05.9851287Z copying src/executorch/exir/wrap.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir 2025-06-05T23:20:05.9851895Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/runtime 2025-06-05T23:20:05.9852524Z copying src/executorch/runtime/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/runtime 2025-06-05T23:20:05.9853166Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/util 2025-06-05T23:20:05.9853990Z copying src/executorch/util/activation_memory_profiler.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/util 2025-06-05T23:20:05.9854825Z copying src/executorch/util/collect_env.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/util 2025-06-05T23:20:05.9855614Z copying src/executorch/util/python_profiler.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/util 2025-06-05T23:20:05.9856483Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm 2025-06-05T23:20:05.9857416Z copying src/executorch/backends/arm/arm_backend.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm 2025-06-05T23:20:05.9858382Z copying src/executorch/backends/arm/arm_vela.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm 2025-06-05T23:20:05.9859433Z copying src/executorch/backends/arm/ethosu_backend.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm 2025-06-05T23:20:05.9860458Z copying src/executorch/backends/arm/ethosu_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm 2025-06-05T23:20:05.9861412Z copying src/executorch/backends/arm/process_node.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm 2025-06-05T23:20:05.9862346Z copying src/executorch/backends/arm/tosa_backend.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm 2025-06-05T23:20:05.9863278Z copying src/executorch/backends/arm/tosa_mapping.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm 2025-06-05T23:20:05.9864216Z copying src/executorch/backends/arm/tosa_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm 2025-06-05T23:20:05.9865175Z copying src/executorch/backends/arm/tosa_quant_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm 2025-06-05T23:20:05.9866178Z copying src/executorch/backends/arm/tosa_specification.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm 2025-06-05T23:20:05.9867219Z copying src/executorch/backends/arm/tosa_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm 2025-06-05T23:20:05.9868133Z copying src/executorch/backends/arm/vgf_backend.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm 2025-06-05T23:20:05.9869053Z copying src/executorch/backends/arm/vgf_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm 2025-06-05T23:20:05.9869819Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example 2025-06-05T23:20:06.0253127Z copying src/executorch/backends/example/example_backend.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example 2025-06-05T23:20:06.0254921Z copying src/executorch/backends/example/example_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example 2025-06-05T23:20:06.0256128Z copying src/executorch/backends/example/example_quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example 2025-06-05T23:20:06.0257211Z copying src/executorch/backends/example/test_example_delegate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example 2025-06-05T23:20:06.0258081Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek 2025-06-05T23:20:06.0258914Z copying src/executorch/backends/mediatek/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek 2025-06-05T23:20:06.0260085Z copying src/executorch/backends/mediatek/partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek 2025-06-05T23:20:06.0261147Z copying src/executorch/backends/mediatek/preprocess.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek 2025-06-05T23:20:06.0262066Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp 2025-06-05T23:20:06.0262845Z copying src/executorch/backends/nxp/neutron_node_extraction.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp 2025-06-05T23:20:06.0263930Z copying src/executorch/backends/nxp/neutron_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp 2025-06-05T23:20:06.0264934Z copying src/executorch/backends/nxp/neutron_pass_manager.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp 2025-06-05T23:20:06.0265950Z copying src/executorch/backends/nxp/nxp_backend.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp 2025-06-05T23:20:06.0266764Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino 2025-06-05T23:20:06.0267535Z copying src/executorch/backends/openvino/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino 2025-06-05T23:20:06.0268550Z copying src/executorch/backends/openvino/partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino 2025-06-05T23:20:06.0269585Z copying src/executorch/backends/openvino/preprocess.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino 2025-06-05T23:20:06.0270391Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm 2025-06-05T23:20:06.0271291Z copying src/executorch/backends/qualcomm/qnn_preprocess.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm 2025-06-05T23:20:06.0272094Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms 2025-06-05T23:20:06.0274174Z copying src/executorch/backends/transforms/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms 2025-06-05T23:20:06.0283569Z copying src/executorch/backends/transforms/addmm_mm_to_linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms 2025-06-05T23:20:06.0284763Z copying src/executorch/backends/transforms/convert_dtype_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms 2025-06-05T23:20:06.0285874Z copying src/executorch/backends/transforms/decompose_sdpa.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms 2025-06-05T23:20:06.0287155Z copying src/executorch/backends/transforms/duplicate_dynamic_quant_chain.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms 2025-06-05T23:20:06.0288354Z copying src/executorch/backends/transforms/fuse_batch_norm_with_conv.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms 2025-06-05T23:20:06.0289616Z copying src/executorch/backends/transforms/fuse_conv_with_clamp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms 2025-06-05T23:20:06.0290902Z copying src/executorch/backends/transforms/fuse_view_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms 2025-06-05T23:20:06.0292023Z copying src/executorch/backends/transforms/mean_to_sum_div.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms 2025-06-05T23:20:06.0293103Z copying src/executorch/backends/transforms/rank_0_to_rank_1.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms 2025-06-05T23:20:06.0294285Z copying src/executorch/backends/transforms/remove_clone_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms 2025-06-05T23:20:06.0295379Z copying src/executorch/backends/transforms/remove_getitem_op.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms 2025-06-05T23:20:06.0296529Z copying src/executorch/backends/transforms/replace_scalar_with_tensor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms 2025-06-05T23:20:06.0297729Z copying src/executorch/backends/transforms/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms 2025-06-05T23:20:06.0298934Z copying src/executorch/backends/transforms/view_copy_to_squeeze_unsqueeze.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms 2025-06-05T23:20:06.0299875Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan 2025-06-05T23:20:06.0300612Z copying src/executorch/backends/vulkan/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan 2025-06-05T23:20:06.0301639Z copying src/executorch/backends/vulkan/custom_ops_lib.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan 2025-06-05T23:20:06.0302634Z copying src/executorch/backends/vulkan/op_registry.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan 2025-06-05T23:20:06.0303650Z copying src/executorch/backends/vulkan/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan 2025-06-05T23:20:06.0304676Z copying src/executorch/backends/vulkan/vulkan_preprocess.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan 2025-06-05T23:20:06.0305471Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack 2025-06-05T23:20:06.0306234Z copying src/executorch/backends/xnnpack/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack 2025-06-05T23:20:06.0307384Z copying src/executorch/backends/xnnpack/xnnpack_preprocess.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack 2025-06-05T23:20:06.0308208Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps 2025-06-05T23:20:06.0309055Z copying src/executorch/backends/apple/mps/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps 2025-06-05T23:20:06.0310071Z copying src/executorch/backends/apple/mps/mps_preprocess.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps 2025-06-05T23:20:06.0311077Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/compiler 2025-06-05T23:20:06.0312110Z copying src/executorch/backends/apple/coreml/compiler/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/compiler 2025-06-05T23:20:06.0313391Z copying src/executorch/backends/apple/coreml/compiler/coreml_preprocess.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/compiler 2025-06-05T23:20:06.0314545Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/partition 2025-06-05T23:20:06.0315523Z copying src/executorch/backends/apple/coreml/partition/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/partition 2025-06-05T23:20:06.0316889Z copying src/executorch/backends/apple/coreml/partition/coreml_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/partition 2025-06-05T23:20:06.0317976Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/quantizer 2025-06-05T23:20:06.0319077Z copying src/executorch/backends/apple/coreml/quantizer/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/quantizer 2025-06-05T23:20:06.0320395Z copying src/executorch/backends/apple/coreml/quantizer/coreml_quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/quantizer 2025-06-05T23:20:06.0321493Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/test 2025-06-05T23:20:06.0322462Z copying src/executorch/backends/apple/coreml/test/test_coreml_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/test 2025-06-05T23:20:06.0323765Z copying src/executorch/backends/apple/coreml/test/test_coreml_quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/test 2025-06-05T23:20:06.0324842Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/runtime/test 2025-06-05T23:20:06.0326034Z copying src/executorch/backends/apple/coreml/runtime/test/export_stateful_model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/runtime/test 2025-06-05T23:20:06.0327101Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators 2025-06-05T23:20:06.0328013Z copying src/executorch/backends/apple/mps/operators/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators 2025-06-05T23:20:06.0329252Z copying src/executorch/backends/apple/mps/operators/activation_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators 2025-06-05T23:20:06.0330520Z copying src/executorch/backends/apple/mps/operators/binary_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators 2025-06-05T23:20:06.0701603Z copying src/executorch/backends/apple/mps/operators/clamp_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators 2025-06-05T23:20:06.0702911Z copying src/executorch/backends/apple/mps/operators/constant_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators 2025-06-05T23:20:06.0704202Z copying src/executorch/backends/apple/mps/operators/convolution_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators 2025-06-05T23:20:06.0705521Z copying src/executorch/backends/apple/mps/operators/indexing_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators 2025-06-05T23:20:06.0706963Z copying src/executorch/backends/apple/mps/operators/linear_algebra_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators 2025-06-05T23:20:06.0708246Z copying src/executorch/backends/apple/mps/operators/node_visitor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators 2025-06-05T23:20:06.0709541Z copying src/executorch/backends/apple/mps/operators/normalization_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators 2025-06-05T23:20:06.0710805Z copying src/executorch/backends/apple/mps/operators/op_clone.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators 2025-06-05T23:20:06.0712291Z copying src/executorch/backends/apple/mps/operators/op_getitem.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators 2025-06-05T23:20:06.0713533Z copying src/executorch/backends/apple/mps/operators/op_quant_dequant.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators 2025-06-05T23:20:06.0714782Z copying src/executorch/backends/apple/mps/operators/op_skip_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators 2025-06-05T23:20:06.0716004Z copying src/executorch/backends/apple/mps/operators/pad_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators 2025-06-05T23:20:06.0717231Z copying src/executorch/backends/apple/mps/operators/pooling_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators 2025-06-05T23:20:06.0718909Z copying src/executorch/backends/apple/mps/operators/range_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators 2025-06-05T23:20:06.0720158Z copying src/executorch/backends/apple/mps/operators/reduce_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators 2025-06-05T23:20:06.0721373Z copying src/executorch/backends/apple/mps/operators/shape_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators 2025-06-05T23:20:06.0722600Z copying src/executorch/backends/apple/mps/operators/unary_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators 2025-06-05T23:20:06.0723530Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/partition 2025-06-05T23:20:06.0724601Z copying src/executorch/backends/apple/mps/partition/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/partition 2025-06-05T23:20:06.0725952Z copying src/executorch/backends/apple/mps/partition/mps_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/partition 2025-06-05T23:20:06.0726945Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/serialization 2025-06-05T23:20:06.0727995Z copying src/executorch/backends/apple/mps/serialization/mps_graph_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/serialization 2025-06-05T23:20:06.0729382Z copying src/executorch/backends/apple/mps/serialization/mps_graph_serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/serialization 2025-06-05T23:20:06.0730387Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test 2025-06-05T23:20:06.0731297Z copying src/executorch/backends/apple/mps/test/test_mps.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test 2025-06-05T23:20:06.0732546Z copying src/executorch/backends/apple/mps/test/test_mps_binary_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test 2025-06-05T23:20:06.0733748Z copying src/executorch/backends/apple/mps/test/test_mps_indexing_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test 2025-06-05T23:20:06.0734940Z copying src/executorch/backends/apple/mps/test/test_mps_linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test 2025-06-05T23:20:06.0736122Z copying src/executorch/backends/apple/mps/test/test_mps_models.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test 2025-06-05T23:20:06.0737289Z copying src/executorch/backends/apple/mps/test/test_mps_unary_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test 2025-06-05T23:20:06.0738599Z copying src/executorch/backends/apple/mps/test/test_mps_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test 2025-06-05T23:20:06.0739482Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/utils 2025-06-05T23:20:06.0740478Z copying src/executorch/backends/apple/mps/utils/mps_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/utils 2025-06-05T23:20:06.0741620Z copying src/executorch/backends/apple/mps/utils/quant_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/utils 2025-06-05T23:20:06.0742503Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-06-05T23:20:06.0743299Z copying src/executorch/backends/arm/_passes/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-06-05T23:20:06.0744345Z copying src/executorch/backends/arm/_passes/_debug_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-06-05T23:20:06.0745594Z copying src/executorch/backends/arm/_passes/annotate_channels_last_dim_order_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-06-05T23:20:06.0746903Z copying src/executorch/backends/arm/_passes/annotate_decomposed_matmul.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-06-05T23:20:06.0747992Z copying src/executorch/backends/arm/_passes/arm_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-06-05T23:20:06.0749031Z copying src/executorch/backends/arm/_passes/arm_pass_manager.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-06-05T23:20:06.0750081Z copying src/executorch/backends/arm/_passes/arm_pass_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-06-05T23:20:06.0751384Z copying src/executorch/backends/arm/_passes/broadcast_args_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-06-05T23:20:06.0752575Z copying src/executorch/backends/arm/_passes/cast_int64_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-06-05T23:20:06.0753636Z copying src/executorch/backends/arm/_passes/cast_to_int32_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-06-05T23:20:06.0754737Z copying src/executorch/backends/arm/_passes/conv1d_unsqueeze_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-06-05T23:20:06.0755897Z copying src/executorch/backends/arm/_passes/convert_any_default_dim_dims_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-06-05T23:20:06.0757094Z copying src/executorch/backends/arm/_passes/convert_expand_copy_to_repeat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-06-05T23:20:06.0758375Z copying src/executorch/backends/arm/_passes/convert_full_like_to_full_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-06-05T23:20:06.0759506Z copying src/executorch/backends/arm/_passes/convert_int_pow_to_mul.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-06-05T23:20:06.0760613Z copying src/executorch/backends/arm/_passes/convert_minmax_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-06-05T23:20:06.0761725Z copying src/executorch/backends/arm/_passes/convert_split_to_slice.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-06-05T23:20:06.0762841Z copying src/executorch/backends/arm/_passes/convert_squeezes_to_view.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-06-05T23:20:06.0763947Z copying src/executorch/backends/arm/_passes/convert_to_clamp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-06-05T23:20:06.0765236Z copying src/executorch/backends/arm/_passes/decompose_cosine_similarity_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-06-05T23:20:06.0766388Z copying src/executorch/backends/arm/_passes/decompose_div_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-06-05T23:20:06.0767496Z copying src/executorch/backends/arm/_passes/decompose_gelu_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-06-05T23:20:06.0768617Z copying src/executorch/backends/arm/_passes/decompose_groupnorm_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-06-05T23:20:06.1188960Z copying src/executorch/backends/arm/_passes/decompose_layernorm_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-06-05T23:20:06.1190205Z copying src/executorch/backends/arm/_passes/decompose_leaky_relu_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-06-05T23:20:06.1191487Z copying src/executorch/backends/arm/_passes/decompose_linalg_vector_norm_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-06-05T23:20:06.1192894Z copying src/executorch/backends/arm/_passes/decompose_linear_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-06-05T23:20:06.1194031Z copying src/executorch/backends/arm/_passes/decompose_meandim_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-06-05T23:20:06.1195328Z copying src/executorch/backends/arm/_passes/decompose_ne_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-06-05T23:20:06.1196488Z copying src/executorch/backends/arm/_passes/decompose_select.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-06-05T23:20:06.1197588Z copying src/executorch/backends/arm/_passes/decompose_silu_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-06-05T23:20:06.1198704Z copying src/executorch/backends/arm/_passes/decompose_softmax_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-06-05T23:20:06.1200022Z copying src/executorch/backends/arm/_passes/decompose_softmax_unstable_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-06-05T23:20:06.1201189Z copying src/executorch/backends/arm/_passes/decompose_sqrt_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-06-05T23:20:06.1202375Z copying src/executorch/backends/arm/_passes/decompose_sum_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-06-05T23:20:06.1203519Z copying src/executorch/backends/arm/_passes/decompose_var_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-06-05T23:20:06.1204668Z copying src/executorch/backends/arm/_passes/fold_qdq_with_annotated_qparams_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-06-05T23:20:06.1205849Z copying src/executorch/backends/arm/_passes/fuse_batchnorm2d_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-06-05T23:20:06.1206982Z copying src/executorch/backends/arm/_passes/fuse_constant_ops_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-06-05T23:20:06.1208117Z copying src/executorch/backends/arm/_passes/fuse_equal_placeholders_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-06-05T23:20:06.1209300Z copying src/executorch/backends/arm/_passes/fuse_quantized_activation_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-06-05T23:20:06.1210553Z copying src/executorch/backends/arm/_passes/insert_rescales_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-06-05T23:20:06.1211635Z copying src/executorch/backends/arm/_passes/insert_table_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-06-05T23:20:06.1212724Z copying src/executorch/backends/arm/_passes/match_arg_ranks_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-06-05T23:20:06.1213851Z copying src/executorch/backends/arm/_passes/match_where_self_arg_dtype_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-06-05T23:20:06.1214967Z copying src/executorch/backends/arm/_passes/mm_to_bmm_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-06-05T23:20:06.1216029Z copying src/executorch/backends/arm/_passes/remove_clone_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-06-05T23:20:06.1217125Z copying src/executorch/backends/arm/_passes/replace_inf_values_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-06-05T23:20:06.1218376Z copying src/executorch/backends/arm/_passes/replace_scalar_with_tensor_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-06-05T23:20:06.1219554Z copying src/executorch/backends/arm/_passes/scalars_to_attribute_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-06-05T23:20:06.1220756Z copying src/executorch/backends/arm/_passes/size_adjust_conv2d_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-06-05T23:20:06.1221912Z copying src/executorch/backends/arm/_passes/unsqueeze_before_repeat_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-06-05T23:20:06.1223109Z copying src/executorch/backends/arm/_passes/unsqueeze_scalar_placeholders_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-06-05T23:20:06.1224065Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support 2025-06-05T23:20:06.1225044Z copying src/executorch/backends/arm/operator_support/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support 2025-06-05T23:20:06.1226332Z copying src/executorch/backends/arm/operator_support/convolution_support.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support 2025-06-05T23:20:06.1227687Z copying src/executorch/backends/arm/operator_support/ethos_u55_support.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support 2025-06-05T23:20:06.1228949Z copying src/executorch/backends/arm/operator_support/minmax_support.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support 2025-06-05T23:20:06.1230192Z copying src/executorch/backends/arm/operator_support/pool_2d_support.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support 2025-06-05T23:20:06.1231537Z copying src/executorch/backends/arm/operator_support/reduce_sum_support.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support 2025-06-05T23:20:06.1232940Z copying src/executorch/backends/arm/operator_support/right_shift_support.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support 2025-06-05T23:20:06.1234206Z copying src/executorch/backends/arm/operator_support/sin_cos_support.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support 2025-06-05T23:20:06.1235471Z copying src/executorch/backends/arm/operator_support/slice_copy_support.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support 2025-06-05T23:20:06.1236725Z copying src/executorch/backends/arm/operator_support/to_copy_support.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support 2025-06-05T23:20:06.1238029Z copying src/executorch/backends/arm/operator_support/tosa_supported_operators.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support 2025-06-05T23:20:06.1239199Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-06-05T23:20:06.1240118Z copying src/executorch/backends/arm/operators/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-06-05T23:20:06.1241336Z copying src/executorch/backends/arm/operators/node_visitor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-06-05T23:20:06.1242501Z copying src/executorch/backends/arm/operators/op_abs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-06-05T23:20:06.1243679Z copying src/executorch/backends/arm/operators/op_add.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-06-05T23:20:06.1244793Z copying src/executorch/backends/arm/operators/op_amax.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-06-05T23:20:06.1245989Z copying src/executorch/backends/arm/operators/op_amin.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-06-05T23:20:06.1247100Z copying src/executorch/backends/arm/operators/op_any.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-06-05T23:20:06.1248321Z copying src/executorch/backends/arm/operators/op_avg_pool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-06-05T23:20:06.1249605Z copying src/executorch/backends/arm/operators/op_bmm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-06-05T23:20:06.1250713Z copying src/executorch/backends/arm/operators/op_cat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-06-05T23:20:06.1251895Z copying src/executorch/backends/arm/operators/op_clamp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-06-05T23:20:06.1253081Z copying src/executorch/backends/arm/operators/op_constant_pad_nd.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-06-05T23:20:06.1254312Z copying src/executorch/backends/arm/operators/op_conv2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-06-05T23:20:06.1255441Z copying src/executorch/backends/arm/operators/op_cos.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-06-05T23:20:06.1653561Z copying src/executorch/backends/arm/operators/op_eq.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-06-05T23:20:06.1654711Z copying src/executorch/backends/arm/operators/op_erf.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-06-05T23:20:06.1655916Z copying src/executorch/backends/arm/operators/op_exp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-06-05T23:20:06.1656966Z copying src/executorch/backends/arm/operators/op_ge.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-06-05T23:20:06.1658077Z copying src/executorch/backends/arm/operators/op_gt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-06-05T23:20:06.1659125Z copying src/executorch/backends/arm/operators/op_le.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-06-05T23:20:06.1660285Z copying src/executorch/backends/arm/operators/op_log.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-06-05T23:20:06.1661356Z copying src/executorch/backends/arm/operators/op_lt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-06-05T23:20:06.1662516Z copying src/executorch/backends/arm/operators/op_max_pool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-06-05T23:20:06.1663663Z copying src/executorch/backends/arm/operators/op_maximum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-06-05T23:20:06.1664822Z copying src/executorch/backends/arm/operators/op_minimum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-06-05T23:20:06.1666097Z copying src/executorch/backends/arm/operators/op_mul.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-06-05T23:20:06.1667226Z copying src/executorch/backends/arm/operators/op_neg.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-06-05T23:20:06.1668314Z copying src/executorch/backends/arm/operators/op_permute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-06-05T23:20:06.1669461Z copying src/executorch/backends/arm/operators/op_pow.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-06-05T23:20:06.1670617Z copying src/executorch/backends/arm/operators/op_reciprocal.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-06-05T23:20:06.1671848Z copying src/executorch/backends/arm/operators/op_repeat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-06-05T23:20:06.1673251Z copying src/executorch/backends/arm/operators/op_rescale.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-06-05T23:20:06.1674444Z copying src/executorch/backends/arm/operators/op_rshift_tensor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-06-05T23:20:06.1675835Z copying src/executorch/backends/arm/operators/op_rsqrt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-06-05T23:20:06.1677025Z copying src/executorch/backends/arm/operators/op_sigmoid.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-06-05T23:20:06.1678162Z copying src/executorch/backends/arm/operators/op_sin.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-06-05T23:20:06.1679217Z copying src/executorch/backends/arm/operators/op_slice.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-06-05T23:20:06.1680463Z copying src/executorch/backends/arm/operators/op_sub.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-06-05T23:20:06.1681628Z copying src/executorch/backends/arm/operators/op_sum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-06-05T23:20:06.1683107Z copying src/executorch/backends/arm/operators/op_table.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-06-05T23:20:06.1684333Z copying src/executorch/backends/arm/operators/op_tanh.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-06-05T23:20:06.1685402Z copying src/executorch/backends/arm/operators/op_to_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-06-05T23:20:06.1686606Z copying src/executorch/backends/arm/operators/op_to_dim_order_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-06-05T23:20:06.1687812Z copying src/executorch/backends/arm/operators/op_transpose.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-06-05T23:20:06.1689021Z copying src/executorch/backends/arm/operators/op_upsample_bilinear2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-06-05T23:20:06.1690290Z copying src/executorch/backends/arm/operators/op_upsample_nearest2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-06-05T23:20:06.1691473Z copying src/executorch/backends/arm/operators/op_view.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-06-05T23:20:06.1692552Z copying src/executorch/backends/arm/operators/op_where.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-06-05T23:20:06.1693845Z copying src/executorch/backends/arm/operators/operator_validation_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-06-05T23:20:06.1695020Z copying src/executorch/backends/arm/operators/ops_binary.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-06-05T23:20:06.1696197Z copying src/executorch/backends/arm/operators/ops_identity.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-06-05T23:20:06.1697370Z copying src/executorch/backends/arm/operators/ops_unary.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-06-05T23:20:06.1698269Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer 2025-06-05T23:20:06.1699114Z copying src/executorch/backends/arm/quantizer/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer 2025-06-05T23:20:06.1700220Z copying src/executorch/backends/arm/quantizer/arm_quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer 2025-06-05T23:20:06.1701484Z copying src/executorch/backends/arm/quantizer/arm_quantizer_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer 2025-06-05T23:20:06.1702756Z copying src/executorch/backends/arm/quantizer/quantization_annotator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer 2025-06-05T23:20:06.1704032Z copying src/executorch/backends/arm/quantizer/quantization_config.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer 2025-06-05T23:20:06.1705101Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/scripts 2025-06-05T23:20:06.1705954Z copying src/executorch/backends/arm/scripts/parse_test_names.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/scripts 2025-06-05T23:20:06.1706805Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test 2025-06-05T23:20:06.1707712Z copying src/executorch/backends/arm/test/common.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test 2025-06-05T23:20:06.1708696Z copying src/executorch/backends/arm/test/conftest.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test 2025-06-05T23:20:06.1709773Z copying src/executorch/backends/arm/test/runner_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test 2025-06-05T23:20:06.1710985Z copying src/executorch/backends/arm/test/test_model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test 2025-06-05T23:20:06.1711834Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/util 2025-06-05T23:20:06.1712667Z copying src/executorch/backends/arm/util/arm_model_evaluator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/util 2025-06-05T23:20:06.1713501Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc 2025-06-05T23:20:06.1714415Z copying src/executorch/backends/arm/test/misc/test_bn_relu_folding_qat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc 2025-06-05T23:20:06.1715751Z copying src/executorch/backends/arm/test/misc/test_custom_partition.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc 2025-06-05T23:20:06.1716969Z copying src/executorch/backends/arm/test/misc/test_debug_feats.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc 2025-06-05T23:20:06.1718286Z copying src/executorch/backends/arm/test/misc/test_dim_order_guards.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc 2025-06-05T23:20:06.1719562Z copying src/executorch/backends/arm/test/misc/test_lifted_tensor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc 2025-06-05T23:20:06.1720735Z copying src/executorch/backends/arm/test/misc/test_model_evaluator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc 2025-06-05T23:20:06.1722066Z copying src/executorch/backends/arm/test/misc/test_multiple_delegates.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc 2025-06-05T23:20:06.2105221Z copying src/executorch/backends/arm/test/misc/test_multiple_outputs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc 2025-06-05T23:20:06.2106524Z copying src/executorch/backends/arm/test/misc/test_non_persistent_buffers.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc 2025-06-05T23:20:06.2108561Z copying src/executorch/backends/arm/test/misc/test_partition_decomposed_quantized_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc 2025-06-05T23:20:06.2110723Z copying src/executorch/backends/arm/test/misc/test_tosa_spec.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc 2025-06-05T23:20:06.2111744Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models 2025-06-05T23:20:06.2112728Z copying src/executorch/backends/arm/test/models/test_conformer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models 2025-06-05T23:20:06.2113987Z copying src/executorch/backends/arm/test/models/test_deit_tiny_arm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models 2025-06-05T23:20:06.2115147Z copying src/executorch/backends/arm/test/models/test_dl3_arm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models 2025-06-05T23:20:06.2116718Z copying src/executorch/backends/arm/test/models/test_llama.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models 2025-06-05T23:20:06.2119013Z copying src/executorch/backends/arm/test/models/test_lstm_arm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models 2025-06-05T23:20:06.2120354Z copying src/executorch/backends/arm/test/models/test_mobilenet_v2_arm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models 2025-06-05T23:20:06.2121650Z copying src/executorch/backends/arm/test/models/test_mobilenet_v3_arm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models 2025-06-05T23:20:06.2122869Z copying src/executorch/backends/arm/test/models/test_nn_functional.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models 2025-06-05T23:20:06.2124171Z copying src/executorch/backends/arm/test/models/test_nn_modules.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models 2025-06-05T23:20:06.2126496Z copying src/executorch/backends/arm/test/models/test_torch_functions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models 2025-06-05T23:20:06.2127882Z copying src/executorch/backends/arm/test/models/test_w2l_arm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models 2025-06-05T23:20:06.2128872Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2129773Z copying src/executorch/backends/arm/test/ops/test_abs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2130812Z copying src/executorch/backends/arm/test/ops/test_add.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2131891Z copying src/executorch/backends/arm/test/ops/test_alias_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2133363Z copying src/executorch/backends/arm/test/ops/test_amax.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2135278Z copying src/executorch/backends/arm/test/ops/test_amin.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2136497Z copying src/executorch/backends/arm/test/ops/test_any.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2137774Z copying src/executorch/backends/arm/test/ops/test_arange.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2138857Z copying src/executorch/backends/arm/test/ops/test_at.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2139936Z copying src/executorch/backends/arm/test/ops/test_avg_pool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2141609Z copying src/executorch/backends/arm/test/ops/test_batch_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2143499Z copying src/executorch/backends/arm/test/ops/test_bitwise.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2144692Z copying src/executorch/backends/arm/test/ops/test_bmm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2145827Z copying src/executorch/backends/arm/test/ops/test_cat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2146896Z copying src/executorch/backends/arm/test/ops/test_clamp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2147957Z copying src/executorch/backends/arm/test/ops/test_clone.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2149192Z copying src/executorch/backends/arm/test/ops/test_constant_pad_nd.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2151395Z copying src/executorch/backends/arm/test/ops/test_conv1d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2152765Z copying src/executorch/backends/arm/test/ops/test_conv2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2153981Z copying src/executorch/backends/arm/test/ops/test_conv3d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2155140Z copying src/executorch/backends/arm/test/ops/test_conv_combos.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2156298Z copying src/executorch/backends/arm/test/ops/test_conv_constant_pad_nd.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2157416Z copying src/executorch/backends/arm/test/ops/test_cos.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2158650Z copying src/executorch/backends/arm/test/ops/test_depthwise_conv.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2159867Z copying src/executorch/backends/arm/test/ops/test_div.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2161720Z copying src/executorch/backends/arm/test/ops/test_eq.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2163194Z copying src/executorch/backends/arm/test/ops/test_erf.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2164385Z copying src/executorch/backends/arm/test/ops/test_exp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2165513Z copying src/executorch/backends/arm/test/ops/test_expand.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2166601Z copying src/executorch/backends/arm/test/ops/test_eye.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2167664Z copying src/executorch/backends/arm/test/ops/test_full.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2168705Z copying src/executorch/backends/arm/test/ops/test_ge.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2169905Z copying src/executorch/backends/arm/test/ops/test_gelu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2171812Z copying src/executorch/backends/arm/test/ops/test_group_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2173460Z copying src/executorch/backends/arm/test/ops/test_gt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2174670Z copying src/executorch/backends/arm/test/ops/test_hardsigmoid.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2175867Z copying src/executorch/backends/arm/test/ops/test_hardswish.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2176981Z copying src/executorch/backends/arm/test/ops/test_hardtanh.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2178109Z copying src/executorch/backends/arm/test/ops/test_layer_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2179982Z copying src/executorch/backends/arm/test/ops/test_le.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2181573Z copying src/executorch/backends/arm/test/ops/test_leaky_relu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2182842Z copying src/executorch/backends/arm/test/ops/test_linalg_vector_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2184208Z copying src/executorch/backends/arm/test/ops/test_linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2564426Z copying src/executorch/backends/arm/test/ops/test_log.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2565578Z copying src/executorch/backends/arm/test/ops/test_logical.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2566826Z copying src/executorch/backends/arm/test/ops/test_logsoftmax.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2567988Z copying src/executorch/backends/arm/test/ops/test_lshift.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2569040Z copying src/executorch/backends/arm/test/ops/test_lt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2570635Z copying src/executorch/backends/arm/test/ops/test_matmul.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2571796Z copying src/executorch/backends/arm/test/ops/test_max_pool.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2573038Z copying src/executorch/backends/arm/test/ops/test_maximum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2574140Z copying src/executorch/backends/arm/test/ops/test_mean_dim.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2575300Z copying src/executorch/backends/arm/test/ops/test_minimum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2576361Z copying src/executorch/backends/arm/test/ops/test_mm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2577422Z copying src/executorch/backends/arm/test/ops/test_mul.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2578460Z copying src/executorch/backends/arm/test/ops/test_ne.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2579660Z copying src/executorch/backends/arm/test/ops/test_neg.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2580726Z copying src/executorch/backends/arm/test/ops/test_ones.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2581886Z copying src/executorch/backends/arm/test/ops/test_permute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2583130Z copying src/executorch/backends/arm/test/ops/test_pow.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2584224Z copying src/executorch/backends/arm/test/ops/test_reciprocal.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2585313Z copying src/executorch/backends/arm/test/ops/test_relu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2586389Z copying src/executorch/backends/arm/test/ops/test_repeat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2587457Z copying src/executorch/backends/arm/test/ops/test_rshift.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2588536Z copying src/executorch/backends/arm/test/ops/test_rsqrt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2589686Z copying src/executorch/backends/arm/test/ops/test_scalar_tensor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2591015Z copying src/executorch/backends/arm/test/ops/test_scalars.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2592329Z copying src/executorch/backends/arm/test/ops/test_sdpa.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2593570Z copying src/executorch/backends/arm/test/ops/test_select.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2594658Z copying src/executorch/backends/arm/test/ops/test_sigmoid.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2595789Z copying src/executorch/backends/arm/test/ops/test_sigmoid_16bit.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2596918Z copying src/executorch/backends/arm/test/ops/test_sigmoid_32bit.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2598027Z copying src/executorch/backends/arm/test/ops/test_silu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2599321Z copying src/executorch/backends/arm/test/ops/test_sin.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2600430Z copying src/executorch/backends/arm/test/ops/test_slice.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2601657Z copying src/executorch/backends/arm/test/ops/test_softmax.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2602793Z copying src/executorch/backends/arm/test/ops/test_split.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2603848Z copying src/executorch/backends/arm/test/ops/test_sqrt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2604926Z copying src/executorch/backends/arm/test/ops/test_squeeze.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2606022Z copying src/executorch/backends/arm/test/ops/test_sub.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2607170Z copying src/executorch/backends/arm/test/ops/test_sum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2608282Z copying src/executorch/backends/arm/test/ops/test_tanh.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2609493Z copying src/executorch/backends/arm/test/ops/test_to_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2610573Z copying src/executorch/backends/arm/test/ops/test_unary.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2611656Z copying src/executorch/backends/arm/test/ops/test_unsqueeze.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2612826Z copying src/executorch/backends/arm/test/ops/test_upsample_bilinear2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2614158Z copying src/executorch/backends/arm/test/ops/test_upsample_nearest2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2615265Z copying src/executorch/backends/arm/test/ops/test_var.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2616380Z copying src/executorch/backends/arm/test/ops/test_view.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2617624Z copying src/executorch/backends/arm/test/ops/test_where.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2618681Z copying src/executorch/backends/arm/test/ops/test_zeros.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-06-05T23:20:06.2619542Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes 2025-06-05T23:20:06.2620590Z copying src/executorch/backends/arm/test/passes/test_broadcast_args_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes 2025-06-05T23:20:06.2621973Z copying src/executorch/backends/arm/test/passes/test_cast_int64_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes 2025-06-05T23:20:06.2623310Z copying src/executorch/backends/arm/test/passes/test_convert_expand_copy_to_repeat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes 2025-06-05T23:20:06.2624870Z copying src/executorch/backends/arm/test/passes/test_convert_int_pow_to_muls.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes 2025-06-05T23:20:06.2626161Z copying src/executorch/backends/arm/test/passes/test_convert_split_to_slice.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes 2025-06-05T23:20:06.2627472Z copying src/executorch/backends/arm/test/passes/test_convert_to_clamp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes 2025-06-05T23:20:06.2628784Z copying src/executorch/backends/arm/test/passes/test_decompose_cosine_similarity_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes 2025-06-05T23:20:06.2630230Z copying src/executorch/backends/arm/test/passes/test_decompose_div_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes 2025-06-05T23:20:06.2631635Z copying src/executorch/backends/arm/test/passes/test_decompose_layernorm_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes 2025-06-05T23:20:06.2633158Z copying src/executorch/backends/arm/test/passes/test_decompose_linalg_vector_norm_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes 2025-06-05T23:20:06.2926313Z copying src/executorch/backends/arm/test/passes/test_decompose_meandim_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes 2025-06-05T23:20:06.2927679Z copying src/executorch/backends/arm/test/passes/test_decompose_softmax_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes 2025-06-05T23:20:06.2929098Z copying src/executorch/backends/arm/test/passes/test_decompose_var_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes 2025-06-05T23:20:06.2930390Z copying src/executorch/backends/arm/test/passes/test_fold_qdq_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes 2025-06-05T23:20:06.2931666Z copying src/executorch/backends/arm/test/passes/test_fuse_batchnorm_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes 2025-06-05T23:20:06.2933031Z copying src/executorch/backends/arm/test/passes/test_fuse_constant_ops_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes 2025-06-05T23:20:06.2934378Z copying src/executorch/backends/arm/test/passes/test_fuse_equal_placeholders_ops_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes 2025-06-05T23:20:06.2935722Z copying src/executorch/backends/arm/test/passes/test_insert_table_ops_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes 2025-06-05T23:20:06.2937095Z copying src/executorch/backends/arm/test/passes/test_ioquantization_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes 2025-06-05T23:20:06.2938410Z copying src/executorch/backends/arm/test/passes/test_remove_clone_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes 2025-06-05T23:20:06.2939811Z copying src/executorch/backends/arm/test/passes/test_rescale_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes 2025-06-05T23:20:06.2941083Z copying src/executorch/backends/arm/test/passes/test_unsqueeze_before_repeat_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes 2025-06-05T23:20:06.2942080Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/quantizer 2025-06-05T23:20:06.2943389Z copying src/executorch/backends/arm/test/quantizer/test_generic_annotater.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/quantizer 2025-06-05T23:20:06.2944376Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tester 2025-06-05T23:20:06.2945291Z copying src/executorch/backends/arm/test/tester/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tester 2025-06-05T23:20:06.2946621Z copying src/executorch/backends/arm/test/tester/analyze_output_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tester 2025-06-05T23:20:06.2947826Z copying src/executorch/backends/arm/test/tester/arm_tester.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tester 2025-06-05T23:20:06.2949142Z copying src/executorch/backends/arm/test/tester/test_pipeline.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tester 2025-06-05T23:20:06.2950065Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tosautil 2025-06-05T23:20:06.2951163Z copying src/executorch/backends/arm/test/tosautil/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tosautil 2025-06-05T23:20:06.2952141Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib 2025-06-05T23:20:06.2953314Z copying src/executorch/backends/arm/third-party/serialization_lib/setup.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib 2025-06-05T23:20:06.2954697Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/serializer 2025-06-05T23:20:06.2956074Z copying src/executorch/backends/arm/third-party/serialization_lib/python/serializer/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/serializer 2025-06-05T23:20:06.2957917Z copying src/executorch/backends/arm/third-party/serialization_lib/python/serializer/tosa_serializer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/serializer 2025-06-05T23:20:06.2959440Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:06.2960902Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/ArithmeticRightShiftAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:06.2962909Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/Attribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:06.2964641Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/AxisAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:06.2966542Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/ClampAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:06.2968366Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/CondIfAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:06.2970342Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/ConvAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:06.2972108Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/CustomAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:06.2974381Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/DType.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:06.2976224Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/FFTAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:06.2978142Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/FullyConnectedAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:06.2980116Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/MatMulAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:06.2982054Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/MulAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:06.2983996Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/NegateAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:06.2985710Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/Op.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:06.2987534Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/PadAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:06.2989337Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/PoolAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:06.2991336Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/RFFTAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:06.2993194Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/RescaleAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:06.2995117Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/ReshapeAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:06.2996976Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/ResizeAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:06.3244089Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/ResizeMode.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:06.3245955Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/SliceAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:06.3247819Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/TableAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:06.3249583Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/TileAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:06.3251351Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaBasicBlock.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:06.3253293Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaGraph.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:06.3255019Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaOperator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:06.3257092Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaRegion.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:06.3258983Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaTensor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:06.3260925Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/TransposeAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:06.3262913Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/TransposeConvAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:06.3264687Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/Version.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:06.3266784Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/WhileLoopAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:06.3268723Z copying src/executorch/backends/arm/third-party/serialization_lib/python/tosa/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:06.3270008Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/test/scripts 2025-06-05T23:20:06.3271421Z copying src/executorch/backends/arm/third-party/serialization_lib/test/scripts/test_npy_fileio.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/test/scripts 2025-06-05T23:20:06.3272958Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/test/scripts/xunit 2025-06-05T23:20:06.3274338Z copying src/executorch/backends/arm/third-party/serialization_lib/test/scripts/xunit/xunit.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/test/scripts/xunit 2025-06-05T23:20:06.3275757Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers 2025-06-05T23:20:06.3277496Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/conanfile.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers 2025-06-05T23:20:06.3279178Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/conan 2025-06-05T23:20:06.3280720Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/conan/build.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/conan 2025-06-05T23:20:06.3282295Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens 2025-06-05T23:20:06.3283897Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/generate_goldens.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens 2025-06-05T23:20:06.3286346Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/golden_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens 2025-06-05T23:20:06.3288161Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python 2025-06-05T23:20:06.3289705Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python 2025-06-05T23:20:06.3291715Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/setup.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python 2025-06-05T23:20:06.3293373Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/samples 2025-06-05T23:20:06.3295020Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/samples/sample_binary.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/samples 2025-06-05T23:20:06.3296902Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts 2025-06-05T23:20:06.3298611Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts/check-grpc-generated-code.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts 2025-06-05T23:20:06.3300794Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts/check_generate_code.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts 2025-06-05T23:20:06.3302926Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts/generate_code.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts 2025-06-05T23:20:06.3305306Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts/generate_grpc_examples.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts 2025-06-05T23:20:06.3307584Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts/util.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts 2025-06-05T23:20:06.3309144Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T23:20:06.3310983Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/monster_test_generated.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T23:20:06.3313341Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/py_flexbuffers_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T23:20:06.3315540Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/py_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T23:20:06.3317270Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/conan/test_package 2025-06-05T23:20:06.3458164Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/conan/test_package/conanfile.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/conan/test_package 2025-06-05T23:20:06.3459955Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/cpp 2025-06-05T23:20:06.3461628Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/cpp/generate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/cpp 2025-06-05T23:20:06.3463333Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/csharp 2025-06-05T23:20:06.3465442Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/csharp/generate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/csharp 2025-06-05T23:20:06.3467188Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/dart 2025-06-05T23:20:06.3468843Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/dart/generate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/dart 2025-06-05T23:20:06.3470665Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/go 2025-06-05T23:20:06.3472380Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/go/generate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/go 2025-06-05T23:20:06.3474233Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/java 2025-06-05T23:20:06.3475895Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/java/generate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/java 2025-06-05T23:20:06.3477568Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/kotlin 2025-06-05T23:20:06.3479245Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/kotlin/generate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/kotlin 2025-06-05T23:20:06.3480947Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/lobster 2025-06-05T23:20:06.3482653Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/lobster/generate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/lobster 2025-06-05T23:20:06.3484318Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/lua 2025-06-05T23:20:06.3485975Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/lua/generate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/lua 2025-06-05T23:20:06.3487614Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/nim 2025-06-05T23:20:06.3489380Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/nim/generate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/nim 2025-06-05T23:20:06.3491066Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/php 2025-06-05T23:20:06.3493515Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/php/generate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/php 2025-06-05T23:20:06.3495148Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py 2025-06-05T23:20:06.3496982Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py/Galaxy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py 2025-06-05T23:20:06.3499156Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py/Universe.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py 2025-06-05T23:20:06.3501416Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py 2025-06-05T23:20:06.3503618Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py/generate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py 2025-06-05T23:20:06.3505333Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/rust 2025-06-05T23:20:06.3507144Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/rust/generate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/rust 2025-06-05T23:20:06.3508854Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/swift 2025-06-05T23:20:06.3510868Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/swift/generate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/swift 2025-06-05T23:20:06.3512860Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/ts 2025-06-05T23:20:06.3514700Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/ts/generate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/ts 2025-06-05T23:20:06.3516556Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/tests 2025-06-05T23:20:06.3518192Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/tests/grpctest.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/tests 2025-06-05T23:20:06.3520038Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter 2025-06-05T23:20:06.3522098Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/client.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter 2025-06-05T23:20:06.3524761Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/server.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter 2025-06-05T23:20:06.3526664Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models 2025-06-05T23:20:06.3528842Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models/HelloReply.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models 2025-06-05T23:20:06.3672574Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models/HelloRequest.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models 2025-06-05T23:20:06.3675475Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models 2025-06-05T23:20:06.3678271Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models/greeter_grpc_fb.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models 2025-06-05T23:20:06.3680337Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame 2025-06-05T23:20:06.3682283Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/InParentNamespace.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame 2025-06-05T23:20:06.3684804Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/MonsterExtra.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame 2025-06-05T23:20:06.3687397Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame 2025-06-05T23:20:06.3689243Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA 2025-06-05T23:20:06.3691284Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/SecondTableInA.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA 2025-06-05T23:20:06.3694024Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/TableInC.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA 2025-06-05T23:20:06.3696599Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/TableInFirstNS.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA 2025-06-05T23:20:06.3699325Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA 2025-06-05T23:20:06.3701364Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceC 2025-06-05T23:20:06.3703305Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceC/TableInC.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceC 2025-06-05T23:20:06.3705931Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceC/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceC 2025-06-05T23:20:06.3707833Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/optional_scalars 2025-06-05T23:20:06.3710001Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/optional_scalars/OptionalByte.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/optional_scalars 2025-06-05T23:20:06.3712727Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/optional_scalars/ScalarStuff.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/optional_scalars 2025-06-05T23:20:06.3715336Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/optional_scalars/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/optional_scalars 2025-06-05T23:20:06.3717375Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T23:20:06.3719399Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Ability.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T23:20:06.3721983Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Any.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T23:20:06.3724623Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/AnyAmbiguousAliases.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T23:20:06.3727538Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/AnyUniqueAliases.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T23:20:06.3730219Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/ArrayStruct.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T23:20:06.3732969Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/ArrayTable.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T23:20:06.3735733Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Color.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T23:20:06.3738339Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/LongEnum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T23:20:06.3741022Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Monster.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T23:20:06.3743809Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedStruct.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T23:20:06.3865143Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Race.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T23:20:06.3867831Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Referrable.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T23:20:06.3870434Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Stat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T23:20:06.3873302Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/StructOfStructs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T23:20:06.3876086Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/StructOfStructsOfStructs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T23:20:06.3878797Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T23:20:06.3881387Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/TestEnum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T23:20:06.3884283Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/TestSimpleTableWithEnum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T23:20:06.3887039Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/TypeAliases.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T23:20:06.3889675Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Vec3.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T23:20:06.3892227Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T23:20:06.3894968Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/monster_test_grpc_fb.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T23:20:06.3896987Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example2 2025-06-05T23:20:06.3898980Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example2/Monster.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example2 2025-06-05T23:20:06.3901595Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example2/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example2 2025-06-05T23:20:06.3903802Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion 2025-06-05T23:20:06.3906115Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion/Any.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion 2025-06-05T23:20:06.3908954Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion/Color.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion 2025-06-05T23:20:06.3911937Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion/NestedUnionTest.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion 2025-06-05T23:20:06.3915006Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion/Test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion 2025-06-05T23:20:06.3918052Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion/TestSimpleTableWithEnum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion 2025-06-05T23:20:06.3921036Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion/Vec3.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion 2025-06-05T23:20:06.3924040Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion 2025-06-05T23:20:06.3926154Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB 2025-06-05T23:20:06.3928360Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB/EnumInNestedNS.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB 2025-06-05T23:20:06.3931228Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB/StructInNestedNS.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB 2025-06-05T23:20:06.3934208Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB/TableInNestedNS.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB 2025-06-05T23:20:06.3937120Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB/UnionInNestedNS.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB 2025-06-05T23:20:06.4147034Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB 2025-06-05T23:20:06.4149046Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers 2025-06-05T23:20:06.4150799Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers 2025-06-05T23:20:06.4153364Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/_version.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers 2025-06-05T23:20:06.4155653Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/builder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers 2025-06-05T23:20:06.4157939Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/compat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers 2025-06-05T23:20:06.4160563Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/encode.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers 2025-06-05T23:20:06.4162881Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/flexbuffers.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers 2025-06-05T23:20:06.4165214Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/number_types.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers 2025-06-05T23:20:06.4167661Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/packer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers 2025-06-05T23:20:06.4170051Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/table.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers 2025-06-05T23:20:06.4172303Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/util.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers 2025-06-05T23:20:06.4174455Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection 2025-06-05T23:20:06.4176488Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/AdvancedFeatures.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection 2025-06-05T23:20:06.4179073Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/BaseType.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection 2025-06-05T23:20:06.4181726Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/Enum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection 2025-06-05T23:20:06.4184237Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/EnumVal.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection 2025-06-05T23:20:06.4186747Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/Field.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection 2025-06-05T23:20:06.4189257Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/KeyValue.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection 2025-06-05T23:20:06.4191831Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/Object.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection 2025-06-05T23:20:06.4194464Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/RPCCall.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection 2025-06-05T23:20:06.4197164Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/Schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection 2025-06-05T23:20:06.4199871Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/SchemaFile.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection 2025-06-05T23:20:06.4202496Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/Service.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection 2025-06-05T23:20:06.4205086Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/Type.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection 2025-06-05T23:20:06.4207984Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection 2025-06-05T23:20:06.4210123Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame 2025-06-05T23:20:06.4212170Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/InParentNamespace.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame 2025-06-05T23:20:06.4214490Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/MonsterExtra.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame 2025-06-05T23:20:06.4216664Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame 2025-06-05T23:20:06.4218335Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/annotated_binary 2025-06-05T23:20:06.4220350Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/annotated_binary/generate_annotations.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/annotated_binary 2025-06-05T23:20:06.4276382Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc 2025-06-05T23:20:06.4278335Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/flatc_cpp_tests.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc 2025-06-05T23:20:06.4280779Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/flatc_kotlin_tests.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc 2025-06-05T23:20:06.4283545Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/flatc_schema_tests.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc 2025-06-05T23:20:06.4285966Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/flatc_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc 2025-06-05T23:20:06.4288570Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/flatc_ts_tests.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc 2025-06-05T23:20:06.4291085Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/main.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc 2025-06-05T23:20:06.4292944Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nim 2025-06-05T23:20:06.4294612Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nim/testnim.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nim 2025-06-05T23:20:06.4296727Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/optional_scalars 2025-06-05T23:20:06.4299119Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/optional_scalars/OptionalByte.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/optional_scalars 2025-06-05T23:20:06.4301741Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/optional_scalars/ScalarStuff.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/optional_scalars 2025-06-05T23:20:06.4304453Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/optional_scalars/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/optional_scalars 2025-06-05T23:20:06.4306485Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts 2025-06-05T23:20:06.4308232Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/TypeScriptTest.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts 2025-06-05T23:20:06.4310077Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T23:20:06.4312023Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Ability.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T23:20:06.4314335Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Any.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T23:20:06.4316691Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/AnyAmbiguousAliases.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T23:20:06.4319270Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/AnyUniqueAliases.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T23:20:06.4321686Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/ArrayStruct.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T23:20:06.4324049Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/ArrayTable.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T23:20:06.4326480Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Color.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T23:20:06.4329192Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/LongEnum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T23:20:06.4332049Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Monster.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T23:20:06.4334744Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedStruct.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T23:20:06.4337653Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Race.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T23:20:06.4340484Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Referrable.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T23:20:06.4342984Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Stat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T23:20:06.4345622Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/StructOfStructs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T23:20:06.4348386Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/StructOfStructsOfStructs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T23:20:06.4351137Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T23:20:06.4353647Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/TestEnum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T23:20:06.4389485Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/TestSimpleTableWithEnum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T23:20:06.4392030Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/TypeAliases.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T23:20:06.4394500Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Vec3.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T23:20:06.4396908Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T23:20:06.4399408Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/monster_test_grpc_fb.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T23:20:06.4401240Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example2 2025-06-05T23:20:06.4403207Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example2/Monster.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example2 2025-06-05T23:20:06.4405549Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example2/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example2 2025-06-05T23:20:06.4407654Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion 2025-06-05T23:20:06.4409753Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/Any.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion 2025-06-05T23:20:06.4412297Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/Color.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion 2025-06-05T23:20:06.4414944Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/NestedUnionTest.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion 2025-06-05T23:20:06.4417744Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/Test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion 2025-06-05T23:20:06.4420422Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/TestSimpleTableWithEnum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion 2025-06-05T23:20:06.4423331Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/Vec3.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion 2025-06-05T23:20:06.4425883Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion 2025-06-05T23:20:06.4427819Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA 2025-06-05T23:20:06.4429765Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/SecondTableInA.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA 2025-06-05T23:20:06.4432477Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/TableInC.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA 2025-06-05T23:20:06.4435029Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/TableInFirstNS.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA 2025-06-05T23:20:06.4437788Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA 2025-06-05T23:20:06.4439677Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceC 2025-06-05T23:20:06.4441598Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceC/TableInC.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceC 2025-06-05T23:20:06.4444323Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceC/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceC 2025-06-05T23:20:06.4446269Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB 2025-06-05T23:20:06.4448403Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB/EnumInNestedNS.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB 2025-06-05T23:20:06.4451228Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB/StructInNestedNS.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB 2025-06-05T23:20:06.4454254Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB/TableInNestedNS.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB 2025-06-05T23:20:06.4457151Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB/UnionInNestedNS.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB 2025-06-05T23:20:06.4459926Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB 2025-06-05T23:20:06.4461731Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot 2025-06-05T23:20:06.4876299Z copying src/executorch/backends/cadence/aot/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot 2025-06-05T23:20:06.4877697Z copying src/executorch/backends/cadence/aot/compiler.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot 2025-06-05T23:20:06.4878826Z copying src/executorch/backends/cadence/aot/compiler_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot 2025-06-05T23:20:06.4879926Z copying src/executorch/backends/cadence/aot/decompose_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot 2025-06-05T23:20:06.4881038Z copying src/executorch/backends/cadence/aot/export_example.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot 2025-06-05T23:20:06.4882113Z copying src/executorch/backends/cadence/aot/fuse_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot 2025-06-05T23:20:06.4883217Z copying src/executorch/backends/cadence/aot/graph_builder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot 2025-06-05T23:20:06.4884550Z copying src/executorch/backends/cadence/aot/memory_constraints.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot 2025-06-05T23:20:06.4885817Z copying src/executorch/backends/cadence/aot/memory_planning.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot 2025-06-05T23:20:06.4887209Z copying src/executorch/backends/cadence/aot/ops_registrations.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot 2025-06-05T23:20:06.4888534Z copying src/executorch/backends/cadence/aot/pass_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot 2025-06-05T23:20:06.4889718Z copying src/executorch/backends/cadence/aot/passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot 2025-06-05T23:20:06.4890817Z copying src/executorch/backends/cadence/aot/ref_implementations.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot 2025-06-05T23:20:06.4891924Z copying src/executorch/backends/cadence/aot/remove_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot 2025-06-05T23:20:06.4893004Z copying src/executorch/backends/cadence/aot/reorder_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot 2025-06-05T23:20:06.4894084Z copying src/executorch/backends/cadence/aot/replace_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot 2025-06-05T23:20:06.4895215Z copying src/executorch/backends/cadence/aot/simplify_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot 2025-06-05T23:20:06.4896402Z copying src/executorch/backends/cadence/aot/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot 2025-06-05T23:20:06.4897285Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/runtime 2025-06-05T23:20:06.4898144Z copying src/executorch/backends/cadence/runtime/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/runtime 2025-06-05T23:20:06.4899279Z copying src/executorch/backends/cadence/runtime/executor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/runtime 2025-06-05T23:20:06.4900588Z copying src/executorch/backends/cadence/runtime/runtime.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/runtime 2025-06-05T23:20:06.4901700Z copying src/executorch/backends/cadence/runtime/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/runtime 2025-06-05T23:20:06.4902567Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils 2025-06-05T23:20:06.4903420Z copying src/executorch/backends/cadence/utils/facto_util.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils 2025-06-05T23:20:06.4904530Z copying src/executorch/backends/cadence/utils/gen_header.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils 2025-06-05T23:20:06.4905673Z copying src/executorch/backends/cadence/utils/post_compilation.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils 2025-06-05T23:20:06.4906659Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/quantizer 2025-06-05T23:20:06.4907644Z copying src/executorch/backends/cadence/aot/quantizer/fusion_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/quantizer 2025-06-05T23:20:06.4908910Z copying src/executorch/backends/cadence/aot/quantizer/patterns.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/quantizer 2025-06-05T23:20:06.4910193Z copying src/executorch/backends/cadence/aot/quantizer/quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/quantizer 2025-06-05T23:20:06.4911793Z copying src/executorch/backends/cadence/aot/quantizer/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/quantizer 2025-06-05T23:20:06.4912798Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests 2025-06-05T23:20:06.4914103Z copying src/executorch/backends/cadence/aot/tests/test_decompose_ops_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests 2025-06-05T23:20:06.4915647Z copying src/executorch/backends/cadence/aot/tests/test_fusion_ops_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests 2025-06-05T23:20:06.4916959Z copying src/executorch/backends/cadence/aot/tests/test_graph_builder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests 2025-06-05T23:20:06.4918217Z copying src/executorch/backends/cadence/aot/tests/test_memory_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests 2025-06-05T23:20:06.4919445Z copying src/executorch/backends/cadence/aot/tests/test_pass_filter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests 2025-06-05T23:20:06.4920698Z copying src/executorch/backends/cadence/aot/tests/test_remove_ops_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests 2025-06-05T23:20:06.4921994Z copying src/executorch/backends/cadence/aot/tests/test_reorder_ops_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests 2025-06-05T23:20:06.4923269Z copying src/executorch/backends/cadence/aot/tests/test_replace_ops_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests 2025-06-05T23:20:06.4924569Z copying src/executorch/backends/cadence/aot/tests/test_simplify_ops_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests 2025-06-05T23:20:06.4925556Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO 2025-06-05T23:20:06.4926698Z copying src/executorch/backends/cadence/utils/FACTO/setup.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO 2025-06-05T23:20:06.4927736Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/calibrator 2025-06-05T23:20:06.4928817Z copying src/executorch/backends/cadence/utils/FACTO/calibrator/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/calibrator 2025-06-05T23:20:06.4930358Z copying src/executorch/backends/cadence/utils/FACTO/calibrator/runner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/calibrator 2025-06-05T23:20:06.4931462Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/examples 2025-06-05T23:20:06.4932532Z copying src/executorch/backends/cadence/utils/FACTO/examples/example.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/examples 2025-06-05T23:20:06.4934033Z copying src/executorch/backends/cadence/utils/FACTO/examples/minimal_example.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/examples 2025-06-05T23:20:06.4935677Z copying src/executorch/backends/cadence/utils/FACTO/examples/random_seed.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/examples 2025-06-05T23:20:06.4936811Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto 2025-06-05T23:20:06.4937833Z copying src/executorch/backends/cadence/utils/FACTO/facto/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto 2025-06-05T23:20:06.4938889Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen 2025-06-05T23:20:06.4940038Z copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen 2025-06-05T23:20:06.4941372Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb 2025-06-05T23:20:06.4942622Z copying src/executorch/backends/cadence/utils/FACTO/facto/specdb/db.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb 2025-06-05T23:20:06.4944384Z copying src/executorch/backends/cadence/utils/FACTO/facto/specdb/default.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb 2025-06-05T23:20:06.4946028Z copying src/executorch/backends/cadence/utils/FACTO/facto/specdb/dtypes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb 2025-06-05T23:20:06.5168477Z copying src/executorch/backends/cadence/utils/FACTO/facto/specdb/function.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb 2025-06-05T23:20:06.5169729Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple 2025-06-05T23:20:06.5171047Z copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple 2025-06-05T23:20:06.5172944Z copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple/engine.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple 2025-06-05T23:20:06.5174754Z copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple/gen.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple 2025-06-05T23:20:06.5176111Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument 2025-06-05T23:20:06.5177407Z copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument 2025-06-05T23:20:06.5179128Z copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/engine.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument 2025-06-05T23:20:06.5180854Z copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/gen.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument 2025-06-05T23:20:06.5182744Z copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/type.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument 2025-06-05T23:20:06.5184120Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute 2025-06-05T23:20:06.5185691Z copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute 2025-06-05T23:20:06.5187534Z copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/engine.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute 2025-06-05T23:20:06.5189415Z copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute 2025-06-05T23:20:06.5191250Z copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/solve.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute 2025-06-05T23:20:06.5192551Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/specs 2025-06-05T23:20:06.5193925Z copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/specs/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/specs 2025-06-05T23:20:06.5195642Z copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/specs/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/specs 2025-06-05T23:20:06.5196885Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/utils 2025-06-05T23:20:06.5198152Z copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/utils/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/utils 2025-06-05T23:20:06.5199825Z copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/utils/random_manager.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/utils 2025-06-05T23:20:06.5201145Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable 2025-06-05T23:20:06.5202694Z copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable 2025-06-05T23:20:06.5204638Z copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/constants.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable 2025-06-05T23:20:06.5206447Z copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/gen.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable 2025-06-05T23:20:06.5208167Z copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/solve.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable 2025-06-05T23:20:06.5209878Z copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/space.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable 2025-06-05T23:20:06.5211811Z copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/type.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable 2025-06-05T23:20:06.5213529Z copying src/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable 2025-06-05T23:20:06.5214877Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T23:20:06.5216086Z copying src/executorch/backends/cadence/utils/FACTO/test/inputgen/test_argtuple_engine.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T23:20:06.5217770Z copying src/executorch/backends/cadence/utils/FACTO/test/inputgen/test_argtuple_generator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T23:20:06.5219587Z copying src/executorch/backends/cadence/utils/FACTO/test/inputgen/test_argument_attributes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T23:20:06.5221228Z copying src/executorch/backends/cadence/utils/FACTO/test/inputgen/test_argument_generator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T23:20:06.5223244Z copying src/executorch/backends/cadence/utils/FACTO/test/inputgen/test_argument_types.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T23:20:06.5224843Z copying src/executorch/backends/cadence/utils/FACTO/test/inputgen/test_attribute_engine.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T23:20:06.5226629Z copying src/executorch/backends/cadence/utils/FACTO/test/inputgen/test_attribute_solver.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T23:20:06.5228232Z copying src/executorch/backends/cadence/utils/FACTO/test/inputgen/test_constraints.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T23:20:06.5229816Z copying src/executorch/backends/cadence/utils/FACTO/test/inputgen/test_meta_arg_engine.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T23:20:06.5231463Z copying src/executorch/backends/cadence/utils/FACTO/test/inputgen/test_specs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T23:20:06.5233154Z copying src/executorch/backends/cadence/utils/FACTO/test/inputgen/test_structural_engine.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T23:20:06.5234832Z copying src/executorch/backends/cadence/utils/FACTO/test/inputgen/test_variable_generation.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T23:20:06.5236471Z copying src/executorch/backends/cadence/utils/FACTO/test/inputgen/test_variable_solving.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T23:20:06.5238082Z copying src/executorch/backends/cadence/utils/FACTO/test/inputgen/test_variable_space.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T23:20:06.5239720Z copying src/executorch/backends/cadence/utils/FACTO/test/inputgen/test_variable_types.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T23:20:06.5240917Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cortex_m/ops 2025-06-05T23:20:06.5241747Z copying src/executorch/backends/cortex_m/ops/operators.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cortex_m/ops 2025-06-05T23:20:06.5544347Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cortex_m/passes 2025-06-05T23:20:06.5545484Z copying src/executorch/backends/cortex_m/passes/replace_quant_nodes_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cortex_m/passes 2025-06-05T23:20:06.5546504Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cortex_m/test 2025-06-05T23:20:06.5548337Z copying src/executorch/backends/cortex_m/test/test_replace_quant_nodes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cortex_m/test 2025-06-05T23:20:06.5550160Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_backend_delegate_passes 2025-06-05T23:20:06.5551588Z copying src/executorch/backends/example/example_backend_delegate_passes/merge_to_dim_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_backend_delegate_passes 2025-06-05T23:20:06.5553373Z copying src/executorch/backends/example/example_backend_delegate_passes/permute_memory_formats_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_backend_delegate_passes 2025-06-05T23:20:06.5554699Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators 2025-06-05T23:20:06.5556629Z copying src/executorch/backends/example/example_operators/adaptive_avg_pool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators 2025-06-05T23:20:06.5559018Z copying src/executorch/backends/example/example_operators/add.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators 2025-06-05T23:20:06.5561358Z copying src/executorch/backends/example/example_operators/conv2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators 2025-06-05T23:20:06.5563777Z copying src/executorch/backends/example/example_operators/conv_relu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators 2025-06-05T23:20:06.5566185Z copying src/executorch/backends/example/example_operators/dropout.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators 2025-06-05T23:20:06.5568467Z copying src/executorch/backends/example/example_operators/flatten.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators 2025-06-05T23:20:06.5569830Z copying src/executorch/backends/example/example_operators/linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators 2025-06-05T23:20:06.5571114Z copying src/executorch/backends/example/example_operators/op_base.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators 2025-06-05T23:20:06.5572389Z copying src/executorch/backends/example/example_operators/ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators 2025-06-05T23:20:06.5573907Z copying src/executorch/backends/example/example_operators/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators 2025-06-05T23:20:06.5574863Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/_passes 2025-06-05T23:20:06.5575742Z copying src/executorch/backends/mediatek/_passes/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/_passes 2025-06-05T23:20:06.5577508Z copying src/executorch/backends/mediatek/_passes/decompose_scaled_dot_product_attention.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/_passes 2025-06-05T23:20:06.5579412Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/quantizer 2025-06-05T23:20:06.5581006Z copying src/executorch/backends/mediatek/quantizer/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/quantizer 2025-06-05T23:20:06.5583193Z copying src/executorch/backends/mediatek/quantizer/annotator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/quantizer 2025-06-05T23:20:06.5585322Z copying src/executorch/backends/mediatek/quantizer/qconfig.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/quantizer 2025-06-05T23:20:06.5586560Z copying src/executorch/backends/mediatek/quantizer/quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/quantizer 2025-06-05T23:20:06.5587490Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/aten_passes 2025-06-05T23:20:06.5588621Z copying src/executorch/backends/nxp/aten_passes/fuse_batch_norm_with_conv_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/aten_passes 2025-06-05T23:20:06.5589873Z copying src/executorch/backends/nxp/aten_passes/fuse_batch_norm_with_linear_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/aten_passes 2025-06-05T23:20:06.5591202Z copying src/executorch/backends/nxp/aten_passes/neutron_aten_pass_manager.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/aten_passes 2025-06-05T23:20:06.5592243Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend 2025-06-05T23:20:06.5593692Z copying src/executorch/backends/nxp/backend/edge_helper.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend 2025-06-05T23:20:06.5595555Z copying src/executorch/backends/nxp/backend/edge_program_converter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend 2025-06-05T23:20:06.5596764Z copying src/executorch/backends/nxp/backend/neutron_converter_manager.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend 2025-06-05T23:20:06.5597932Z copying src/executorch/backends/nxp/backend/node_format_inference.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend 2025-06-05T23:20:06.5598816Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/quantizer 2025-06-05T23:20:06.5599707Z copying src/executorch/backends/nxp/quantizer/neutron_quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/quantizer 2025-06-05T23:20:06.5601669Z copying src/executorch/backends/nxp/quantizer/patterns.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/quantizer 2025-06-05T23:20:06.5603331Z copying src/executorch/backends/nxp/quantizer/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/quantizer 2025-06-05T23:20:06.5604167Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests 2025-06-05T23:20:06.5605041Z copying src/executorch/backends/nxp/tests/executorch_pipeline.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests 2025-06-05T23:20:06.5606118Z copying src/executorch/backends/nxp/tests/executors.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests 2025-06-05T23:20:06.5607236Z copying src/executorch/backends/nxp/tests/exported_program_vizualize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests 2025-06-05T23:20:06.5608520Z copying src/executorch/backends/nxp/tests/models.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests 2025-06-05T23:20:06.5610409Z copying src/executorch/backends/nxp/tests/test_batch_norm_fusion.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests 2025-06-05T23:20:06.5611916Z copying src/executorch/backends/nxp/tests/test_neutron_backend.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests 2025-06-05T23:20:06.5613097Z copying src/executorch/backends/nxp/tests/test_neutron_converter_manager.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests 2025-06-05T23:20:06.5614261Z copying src/executorch/backends/nxp/tests/test_node_format_inference.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests 2025-06-05T23:20:06.5615408Z copying src/executorch/backends/nxp/tests/test_operator_selector.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests 2025-06-05T23:20:06.5616533Z copying src/executorch/backends/nxp/tests/test_qdq_clustering_conv.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests 2025-06-05T23:20:06.5617638Z copying src/executorch/backends/nxp/tests/test_quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests 2025-06-05T23:20:06.5618487Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir 2025-06-05T23:20:06.5619503Z copying src/executorch/backends/nxp/backend/ir/conversion_config.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir 2025-06-05T23:20:06.5620721Z copying src/executorch/backends/nxp/backend/ir/conversion_context.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir 2025-06-05T23:20:06.5621877Z copying src/executorch/backends/nxp/backend/ir/logger.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir 2025-06-05T23:20:06.5623023Z copying src/executorch/backends/nxp/backend/ir/tensor_formatting.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir 2025-06-05T23:20:06.5624313Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter 2025-06-05T23:20:06.5625322Z copying src/executorch/backends/nxp/backend/ir/converter/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter 2025-06-05T23:20:06.5626751Z copying src/executorch/backends/nxp/backend/ir/converter/node_converter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter 2025-06-05T23:20:06.5865214Z copying src/executorch/backends/nxp/backend/ir/converter/quantization_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter 2025-06-05T23:20:06.5866658Z copying src/executorch/backends/nxp/backend/ir/converter/tensor_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter 2025-06-05T23:20:06.5868062Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib 2025-06-05T23:20:06.5869661Z copying src/executorch/backends/nxp/backend/ir/lib/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib 2025-06-05T23:20:06.5871141Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator 2025-06-05T23:20:06.5872469Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator 2025-06-05T23:20:06.5874104Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/tflite_model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator 2025-06-05T23:20:06.5875220Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer 2025-06-05T23:20:06.5877072Z copying src/executorch/backends/nxp/backend/ir/tflite_optimizer/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer 2025-06-05T23:20:06.5879172Z copying src/executorch/backends/nxp/backend/ir/tflite_optimizer/graph_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer 2025-06-05T23:20:06.5880745Z copying src/executorch/backends/nxp/backend/ir/tflite_optimizer/operator_rules.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer 2025-06-05T23:20:06.5882243Z copying src/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer 2025-06-05T23:20:06.5884039Z copying src/executorch/backends/nxp/backend/ir/tflite_optimizer/pattern_matcher.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer 2025-06-05T23:20:06.5886675Z copying src/executorch/backends/nxp/backend/ir/tflite_optimizer/tensor_rules.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer 2025-06-05T23:20:06.5888090Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/builder 2025-06-05T23:20:06.5889221Z copying src/executorch/backends/nxp/backend/ir/converter/builder/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/builder 2025-06-05T23:20:06.5891003Z copying src/executorch/backends/nxp/backend/ir/converter/builder/aten_model_builder_director.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/builder 2025-06-05T23:20:06.5893233Z copying src/executorch/backends/nxp/backend/ir/converter/builder/model_builder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/builder 2025-06-05T23:20:06.5895639Z copying src/executorch/backends/nxp/backend/ir/converter/builder/quantization_verification.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/builder 2025-06-05T23:20:06.5896997Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/conversion 2025-06-05T23:20:06.5898188Z copying src/executorch/backends/nxp/backend/ir/converter/conversion/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/conversion 2025-06-05T23:20:06.5900943Z copying src/executorch/backends/nxp/backend/ir/converter/conversion/aten_translator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/conversion 2025-06-05T23:20:06.5903409Z copying src/executorch/backends/nxp/backend/ir/converter/conversion/common.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/conversion 2025-06-05T23:20:06.5905057Z copying src/executorch/backends/nxp/backend/ir/converter/conversion/translator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/conversion 2025-06-05T23:20:06.5906306Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters 2025-06-05T23:20:06.5921333Z copying src/executorch/backends/nxp/backend/ir/converter/node_converters/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters 2025-06-05T23:20:06.5922687Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters 2025-06-05T23:20:06.5924134Z copying src/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters 2025-06-05T23:20:06.5926442Z copying src/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/addmm_converter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters 2025-06-05T23:20:06.5929506Z copying src/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/avg_pool_2d_converter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters 2025-06-05T23:20:06.5931747Z copying src/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/constant_pad_nd_converter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters 2025-06-05T23:20:06.5934408Z copying src/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/convolution_converter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters 2025-06-05T23:20:06.5937268Z copying src/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/max_pool_2d_converter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters 2025-06-05T23:20:06.5939295Z copying src/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/mm_converter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters 2025-06-05T23:20:06.5941868Z copying src/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/permute_copy_converter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters 2025-06-05T23:20:06.5944926Z copying src/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/qdq_dequantize_converter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters 2025-06-05T23:20:06.5947026Z copying src/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/qdq_quantize_converter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters 2025-06-05T23:20:06.5949297Z copying src/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/relu_converter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters 2025-06-05T23:20:06.5952499Z copying src/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/softmax_converter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters 2025-06-05T23:20:06.5954705Z copying src/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/view_copy_converter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters 2025-06-05T23:20:06.5956159Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/shared 2025-06-05T23:20:06.5958038Z copying src/executorch/backends/nxp/backend/ir/converter/node_converters/shared/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/shared 2025-06-05T23:20:06.5960698Z copying src/executorch/backends/nxp/backend/ir/converter/node_converters/shared/recurrent_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/shared 2025-06-05T23:20:06.5962615Z copying src/executorch/backends/nxp/backend/ir/converter/node_converters/shared/reduce_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/shared 2025-06-05T23:20:06.5964465Z copying src/executorch/backends/nxp/backend/ir/converter/node_converters/shared/reshape_transposition.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/shared 2025-06-05T23:20:06.6241877Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6243000Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/ATan2Options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6244419Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/AbsOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6245943Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/ActivationFunctionType.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6247548Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/AddNOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6248954Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/AddOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6250370Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/ArgMaxOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6251793Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/ArgMinOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6253289Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/AssignVariableOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6255132Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/BatchMatMulOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6256655Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/BatchToSpaceNDOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6258286Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/BidirectionalSequenceLSTMOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6259974Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/BidirectionalSequenceRNNOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6261544Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/BitcastOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6263283Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/BitwiseXorOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6264771Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/BroadcastToOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6266269Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/BucketizeOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6267687Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/Buffer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6269131Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/BuiltinOperator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6270682Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/BuiltinOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6272221Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/BuiltinOptions2.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6273923Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/CallOnceOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6275371Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/CallOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6276780Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/CastOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6278198Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/CombinerType.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6279797Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/ConcatEmbeddingsOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6281344Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/ConcatenationOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6282824Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/Conv2DOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6284254Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/Conv3DOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6285660Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/CosOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6287211Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/CumsumOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6288996Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/CustomOptionsFormat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6290792Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/CustomQuantization.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6292388Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/DensifyOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6293996Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/DepthToSpaceOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6295892Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/DepthwiseConv2DOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6297546Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/DequantizeOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6299121Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/DilateOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6300689Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/DimensionMetadata.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6302260Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/DimensionType.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6303957Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/DivOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6305585Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/DynamicUpdateSliceOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6307373Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/EmbeddingLookupSparseOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6309007Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/EqualOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6310612Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/ExpOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6312248Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/ExpandDimsOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6313850Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/FakeQuantOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6315409Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/FillOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6316999Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/FloorDivOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6617776Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/FloorModOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6619333Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/FullyConnectedOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6621218Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/FullyConnectedOptionsWeightsFormat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6622957Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/GatherNdOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6624464Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/GatherOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6625903Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/GeluOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6627360Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/GreaterEqualOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6629085Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/GreaterOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6630722Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/HardSwishOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6632293Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/HashtableFindOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6633847Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/HashtableImportOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6635372Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/HashtableOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6636879Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/HashtableSizeOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6638550Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/IfOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6639953Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/Int32Vector.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6641374Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/L2NormOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6642862Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/LSHProjectionOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6644372Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/LSHProjectionType.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6645993Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/LSTMKernelType.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6647432Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/LSTMOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6649148Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/LeakyReluOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6650633Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/LessEqualOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6652079Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/LessOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6653912Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/LocalResponseNormalizationOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6655541Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/LogSoftmaxOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6657039Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/LogicalAndOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6658520Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/LogicalNotOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6660010Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/LogicalOrOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6661720Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/MatrixDiagOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6663222Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/MatrixSetDiagOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6664772Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/MaximumMinimumOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6666219Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/Metadata.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6667633Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/MirrorPadMode.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6669177Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/MirrorPadOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6670639Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/Model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6672077Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/MulOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6673642Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/NegOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6675149Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/NonMaxSuppressionV4Options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6676815Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/NonMaxSuppressionV5Options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6678480Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/NotEqualOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6679920Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/OneHotOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6681388Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/Operator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6682784Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/OperatorCode.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6684189Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/PackOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6685885Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/PadOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6687289Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/PadV2Options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6688690Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/Padding.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6690091Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/Pool2DOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6691495Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/PowOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6998377Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/QuantizationDetails.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.6999958Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/QuantizationParameters.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7001482Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/QuantizeOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7002919Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/RNNOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7004330Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/RandomOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7005774Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/RangeOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7007189Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/RankOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7008639Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/ReadVariableOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7010172Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/ReduceWindowFunction.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7011703Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/ReduceWindowOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7013179Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/ReducerOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7014644Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/ReshapeOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7016143Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/ResizeBilinearOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7017732Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/ResizeNearestNeighborOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7019341Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/ReverseSequenceOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7020870Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/ReverseV2Options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7022556Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/Rfft2dOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7024035Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/RightShiftOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7025492Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/RngAlgorithm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7026899Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/SVDFOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7028343Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/ScatterNdOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7029918Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/SegmentSumOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7031464Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/SelectOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7032914Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/SelectV2Options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7034387Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/SequenceRNNOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7035856Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/ShapeOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7037280Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/SignOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7038681Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/SignatureDef.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7040122Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/SkipGramOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7041563Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/SliceOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7042998Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/SoftmaxOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7044594Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/SpaceToBatchNDOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7046139Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/SpaceToDepthOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7047644Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/SparseIndexVector.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7049142Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/SparseToDenseOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7050657Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/SparsityParameters.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7052120Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/SplitOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7053679Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/SplitVOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7055169Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/SquareOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7056823Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/SquaredDifferenceOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7058338Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/SqueezeOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7059903Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloBroadcastInDimOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7061586Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloCompareOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7063197Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloComparisonDirection.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7064810Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloComparisonType.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7066394Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloConcatenateOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7068027Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloConvolutionOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7069658Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloCustomCallOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7364533Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloDotGeneralOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7366204Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloDynamicSliceOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7367826Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloGatherOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7369599Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloIotaOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7371177Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloPadOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7372904Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloPrecisionConfig.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7374477Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloReduceOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7376086Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloReduceWindowOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7377953Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloRngBitGeneratorOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7379793Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloScatterOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7381356Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloSliceOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7382901Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloSortOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7384683Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloTransposeOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7386261Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/StablehloWhileOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7387943Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/StridedSliceOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7389378Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/SubGraph.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7390939Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/SubOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7392381Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/Tensor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7393742Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/TensorMap.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7395136Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/TensorType.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7396548Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/TileOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7398074Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/TopKV2Options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7399560Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/TransposeConvOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7401050Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/TransposeOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7402526Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/Uint16Vector.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7403950Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/Uint8Vector.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7405581Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/UnidirectionalSequenceLSTMOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7407160Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/UniqueOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7408591Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/UnpackOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7410096Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/UnsortedSegmentMaxOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7411850Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/UnsortedSegmentMinOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7413471Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/UnsortedSegmentProdOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7415070Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/UnsortedSegmentSumOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7416608Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/VarHandleOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7418165Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/VariantSubType.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7419750Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/WhereOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7421185Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/WhileOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7422682Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/ZerosLikeOptions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7424083Z copying src/executorch/backends/nxp/backend/ir/lib/tflite/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:06.7425212Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7426530Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7428514Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/abs_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7430283Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/add_n_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7432107Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/add_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7433878Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/arg_max_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7435762Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/arg_min_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7437554Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/average_pool_2d_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7674921Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/batch_mat_mul_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7676844Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/bidirectional_sequence_lstm_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7679094Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/bidirectional_sequence_rnn_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7681140Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/bitwise_xor_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7682979Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/broadcast_to_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7684787Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/cast_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7686856Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/concatenation_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7688686Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/conv_2d_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7690463Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/conv_3d_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7692225Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/cum_sum_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7694203Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/depth_to_space_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7696088Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/depthwise_conv_2d_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7697925Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/dequantize_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7699780Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/div_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7701632Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/equal_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7703388Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/exp_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7705171Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/floor_mod_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7707159Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/fully_connected_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7708981Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/gather_nd_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7710932Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/gather_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7712714Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/gelu_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7714651Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/greater_equal_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7716467Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/greater_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7718264Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/hard_swish_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7720146Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/leaky_relu_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7722132Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/less_equal_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7723910Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/less_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7725690Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/log_softmax_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7727486Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/logical_and_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7729358Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/logical_not_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7731315Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/logical_or_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7733084Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/lrn_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7734845Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/lstm_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7736728Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/max_pool_2d_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7738590Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/maximum_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7740366Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/mean_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7742287Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/minimum_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7744127Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/mirror_pad_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7950315Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/mul_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7952488Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/multinomial_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7954277Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/neg_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7956284Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/not_equal_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7958156Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/one_hot_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7960121Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/pad_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7962001Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/pad_v2_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7963834Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/pow_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7965616Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/quantize_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7967393Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/range_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7969181Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/reduce_max_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7971088Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/reduce_min_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7973495Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/reduce_prod_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7975421Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/reshape_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7977365Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/resize_bilinear_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7979257Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/resize_nearest_neighbor_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7981323Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/reverse_sequence_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7983162Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/scatter_nd_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7984973Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/select_v2_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7986837Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/shape_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7988739Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/sign_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7990495Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/slice_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7992359Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/softmax_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7994167Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/space_to_depth_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7995972Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/split_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7997757Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/split_v_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.7999692Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/square_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.8001514Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/squared_difference_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.8003350Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/squeeze_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.8005173Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/strided_slice_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.8006948Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/sub_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.8008696Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/sum_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.8010572Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/tile_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.8012440Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/transpose_conv_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.8014281Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/transpose_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.8016177Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/unidirectional_sequence_lstm_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.8018298Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/unidirectional_sequence_rnn_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:06.8019810Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/custom_options 2025-06-05T23:20:06.8021190Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/custom_options/flex_transpose_options.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/custom_options 2025-06-05T23:20:06.8284196Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/meta 2025-06-05T23:20:06.8285414Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/meta/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/meta 2025-06-05T23:20:06.8286922Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/meta/meta.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/meta 2025-06-05T23:20:06.8288440Z copying src/executorch/backends/nxp/backend/ir/tflite_generator/meta/types.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/meta 2025-06-05T23:20:06.8289797Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T23:20:06.8291123Z copying src/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T23:20:06.8292863Z copying src/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/base_optimization.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T23:20:06.8294751Z copying src/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/combine_hard_sigmoid_and_mul_to_hard_swish.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T23:20:06.8296908Z copying src/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/eliminate_dead_branches.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T23:20:06.8298770Z copying src/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/fuse_activation_functions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T23:20:06.8300665Z copying src/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/fuse_fully_connected_and_add_operators.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T23:20:06.8302758Z copying src/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/fuse_quanitze_into_preceding_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T23:20:06.8304815Z copying src/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/keep_one_empty_buffer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T23:20:06.8306647Z copying src/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/move_relu_before_concat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T23:20:06.8308572Z copying src/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/permute_fully_connected_weights_after_reshape.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T23:20:06.8310495Z copying src/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/prune_cast_operators.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T23:20:06.8312502Z copying src/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/prune_quantize_operators.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T23:20:06.8314605Z copying src/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/prune_reshape_operators.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T23:20:06.8316708Z copying src/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/prune_transpose_operators.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T23:20:06.8318585Z copying src/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/remove_unused_tensors_and_buffers.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T23:20:06.8320650Z copying src/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/replace_average_pool_before_fully_connected_with_sum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T23:20:06.8322226Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests/ir/converter/node_converter 2025-06-05T23:20:06.8323490Z copying src/executorch/backends/nxp/tests/ir/converter/node_converter/test_avg_pool2d_converter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests/ir/converter/node_converter 2025-06-05T23:20:06.8325194Z copying src/executorch/backends/nxp/tests/ir/converter/node_converter/test_constant_pad_nd_converter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests/ir/converter/node_converter 2025-06-05T23:20:06.8326878Z copying src/executorch/backends/nxp/tests/ir/converter/node_converter/test_conv_converter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests/ir/converter/node_converter 2025-06-05T23:20:06.8328522Z copying src/executorch/backends/nxp/tests/ir/converter/node_converter/test_linear_converter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests/ir/converter/node_converter 2025-06-05T23:20:06.8330193Z copying src/executorch/backends/nxp/tests/ir/converter/node_converter/test_max_pool_2d_converter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests/ir/converter/node_converter 2025-06-05T23:20:06.8332098Z copying src/executorch/backends/nxp/tests/ir/converter/node_converter/test_permute_copy_converter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests/ir/converter/node_converter 2025-06-05T23:20:06.8333792Z copying src/executorch/backends/nxp/tests/ir/converter/node_converter/test_relu_converter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests/ir/converter/node_converter 2025-06-05T23:20:06.8335438Z copying src/executorch/backends/nxp/tests/ir/converter/node_converter/test_softmax_converter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests/ir/converter/node_converter 2025-06-05T23:20:06.8337206Z copying src/executorch/backends/nxp/tests/ir/converter/node_converter/test_view_copy_converter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests/ir/converter/node_converter 2025-06-05T23:20:06.8338380Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/quantizer 2025-06-05T23:20:06.8339289Z copying src/executorch/backends/openvino/quantizer/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/quantizer 2025-06-05T23:20:06.8340497Z copying src/executorch/backends/openvino/quantizer/quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/quantizer 2025-06-05T23:20:06.8341548Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/tests 2025-06-05T23:20:06.8342505Z copying src/executorch/backends/openvino/tests/test_runner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/tests 2025-06-05T23:20:06.8343546Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/tests/models 2025-06-05T23:20:06.8344674Z copying src/executorch/backends/openvino/tests/models/test_classification.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/tests/models 2025-06-05T23:20:06.8345735Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/tests/ops 2025-06-05T23:20:06.8346747Z copying src/executorch/backends/openvino/tests/ops/base_openvino_op_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/tests/ops 2025-06-05T23:20:06.8348102Z copying src/executorch/backends/openvino/tests/ops/test_add.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/tests/ops 2025-06-05T23:20:06.8349418Z copying src/executorch/backends/openvino/tests/ops/test_addmm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/tests/ops 2025-06-05T23:20:06.8350620Z copying src/executorch/backends/openvino/tests/ops/test_arange.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/tests/ops 2025-06-05T23:20:06.8351919Z copying src/executorch/backends/openvino/tests/ops/test_batch_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/tests/ops 2025-06-05T23:20:06.8353171Z copying src/executorch/backends/openvino/tests/ops/test_convolution.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/tests/ops 2025-06-05T23:20:06.8354385Z copying src/executorch/backends/openvino/tests/ops/test_mean.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/tests/ops 2025-06-05T23:20:06.8724635Z copying src/executorch/backends/openvino/tests/ops/test_permute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/tests/ops 2025-06-05T23:20:06.8725884Z copying src/executorch/backends/openvino/tests/ops/test_pooling.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/tests/ops 2025-06-05T23:20:06.8727145Z copying src/executorch/backends/openvino/tests/ops/test_unary_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/tests/ops 2025-06-05T23:20:06.8728611Z copying src/executorch/backends/openvino/tests/ops/test_view.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/tests/ops 2025-06-05T23:20:06.8729536Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-06-05T23:20:06.8730402Z copying src/executorch/backends/qualcomm/_passes/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-06-05T23:20:06.8731600Z copying src/executorch/backends/qualcomm/_passes/annotate_adaptive_avg_pool1d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-06-05T23:20:06.8732899Z copying src/executorch/backends/qualcomm/_passes/annotate_quant_attrs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-06-05T23:20:06.8734360Z copying src/executorch/backends/qualcomm/_passes/annotate_stack.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-06-05T23:20:06.8735665Z copying src/executorch/backends/qualcomm/_passes/annotate_unbind.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-06-05T23:20:06.8736825Z copying src/executorch/backends/qualcomm/_passes/build_quant_io.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-06-05T23:20:06.8738008Z copying src/executorch/backends/qualcomm/_passes/convert_bmm_to_matmul.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-06-05T23:20:06.8739230Z copying src/executorch/backends/qualcomm/_passes/convert_conv1d_to_conv2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-06-05T23:20:06.8740654Z copying src/executorch/backends/qualcomm/_passes/convert_square_to_pow.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-06-05T23:20:06.8741959Z copying src/executorch/backends/qualcomm/_passes/decompose_any.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-06-05T23:20:06.8743127Z copying src/executorch/backends/qualcomm/_passes/decompose_cdist.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-06-05T23:20:06.8744320Z copying src/executorch/backends/qualcomm/_passes/decompose_einsum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-06-05T23:20:06.8745519Z copying src/executorch/backends/qualcomm/_passes/decompose_expm1.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-06-05T23:20:06.8746889Z copying src/executorch/backends/qualcomm/_passes/decompose_linalg_vector_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-06-05T23:20:06.8748125Z copying src/executorch/backends/qualcomm/_passes/decompose_roll.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-06-05T23:20:06.8749304Z copying src/executorch/backends/qualcomm/_passes/decompose_silu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-06-05T23:20:06.8750542Z copying src/executorch/backends/qualcomm/_passes/expand_broadcast_tensor_shape.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-06-05T23:20:06.8752092Z copying src/executorch/backends/qualcomm/_passes/fixed_linear_keep_dim.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-06-05T23:20:06.8753269Z copying src/executorch/backends/qualcomm/_passes/fold_qdq.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-06-05T23:20:06.8754446Z copying src/executorch/backends/qualcomm/_passes/fuse_consecutive_cast.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-06-05T23:20:06.8755707Z copying src/executorch/backends/qualcomm/_passes/fuse_consecutive_transpose.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-06-05T23:20:06.8756912Z copying src/executorch/backends/qualcomm/_passes/i64_to_i32.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-06-05T23:20:06.8758188Z copying src/executorch/backends/qualcomm/_passes/insert_io_qdq.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-06-05T23:20:06.8759350Z copying src/executorch/backends/qualcomm/_passes/insert_requantize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-06-05T23:20:06.8760542Z copying src/executorch/backends/qualcomm/_passes/layout_transform.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-06-05T23:20:06.8761769Z copying src/executorch/backends/qualcomm/_passes/lift_constant_scalar_operands.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-06-05T23:20:06.8763185Z copying src/executorch/backends/qualcomm/_passes/qnn_pass_manager.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-06-05T23:20:06.8764524Z copying src/executorch/backends/qualcomm/_passes/recompose_pixel_unshuffle.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-06-05T23:20:06.8765751Z copying src/executorch/backends/qualcomm/_passes/recompose_rms_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-06-05T23:20:06.8766966Z copying src/executorch/backends/qualcomm/_passes/reduce_dynamic_range.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-06-05T23:20:06.8768169Z copying src/executorch/backends/qualcomm/_passes/remove_0d_tensor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-06-05T23:20:06.8769346Z copying src/executorch/backends/qualcomm/_passes/remove_redundancy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-06-05T23:20:06.8770779Z copying src/executorch/backends/qualcomm/_passes/replace_arange_args.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-06-05T23:20:06.8771991Z copying src/executorch/backends/qualcomm/_passes/replace_index_put_input.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-06-05T23:20:06.8773406Z copying src/executorch/backends/qualcomm/_passes/replace_inf_values.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-06-05T23:20:06.8774582Z copying src/executorch/backends/qualcomm/_passes/tag_quant_io.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-06-05T23:20:06.8775684Z copying src/executorch/backends/qualcomm/_passes/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-06-05T23:20:06.8776564Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.8777688Z copying src/executorch/backends/qualcomm/builders/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.8778849Z copying src/executorch/backends/qualcomm/builders/node_visitor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.8780025Z copying src/executorch/backends/qualcomm/builders/op_abs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.8781217Z copying src/executorch/backends/qualcomm/builders/op_adaptive_avg_pool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.8782423Z copying src/executorch/backends/qualcomm/builders/op_add.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.8783758Z copying src/executorch/backends/qualcomm/builders/op_amax.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.8785028Z copying src/executorch/backends/qualcomm/builders/op_and.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.8786189Z copying src/executorch/backends/qualcomm/builders/op_arange.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.8787629Z copying src/executorch/backends/qualcomm/builders/op_argmin.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.8788805Z copying src/executorch/backends/qualcomm/builders/op_avg_pool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.8790176Z copying src/executorch/backends/qualcomm/builders/op_batch_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.8791473Z copying src/executorch/backends/qualcomm/builders/op_bmm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.8792763Z copying src/executorch/backends/qualcomm/builders/op_cat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9145391Z copying src/executorch/backends/qualcomm/builders/op_ceil.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9146580Z copying src/executorch/backends/qualcomm/builders/op_clamp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9147764Z copying src/executorch/backends/qualcomm/builders/op_conv2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9148924Z copying src/executorch/backends/qualcomm/builders/op_cos.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9150089Z copying src/executorch/backends/qualcomm/builders/op_cum_sum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9151801Z copying src/executorch/backends/qualcomm/builders/op_depth_to_space.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9153025Z copying src/executorch/backends/qualcomm/builders/op_dequantize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9154193Z copying src/executorch/backends/qualcomm/builders/op_div.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9155330Z copying src/executorch/backends/qualcomm/builders/op_elu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9156499Z copying src/executorch/backends/qualcomm/builders/op_embedding.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9157869Z copying src/executorch/backends/qualcomm/builders/op_eq.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9159013Z copying src/executorch/backends/qualcomm/builders/op_exp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9160160Z copying src/executorch/backends/qualcomm/builders/op_expand.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9161331Z copying src/executorch/backends/qualcomm/builders/op_full.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9162502Z copying src/executorch/backends/qualcomm/builders/op_full_like.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9163788Z copying src/executorch/backends/qualcomm/builders/op_gather.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9165023Z copying src/executorch/backends/qualcomm/builders/op_ge.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9166251Z copying src/executorch/backends/qualcomm/builders/op_gelu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9167418Z copying src/executorch/backends/qualcomm/builders/op_group_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9168588Z copying src/executorch/backends/qualcomm/builders/op_gt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9169754Z copying src/executorch/backends/qualcomm/builders/op_hardsigmoid.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9170966Z copying src/executorch/backends/qualcomm/builders/op_hardswish.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9172373Z copying src/executorch/backends/qualcomm/builders/op_hardtanh.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9173819Z copying src/executorch/backends/qualcomm/builders/op_index.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9175000Z copying src/executorch/backends/qualcomm/builders/op_index_put.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9176214Z copying src/executorch/backends/qualcomm/builders/op_instance_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9177415Z copying src/executorch/backends/qualcomm/builders/op_layer_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9178582Z copying src/executorch/backends/qualcomm/builders/op_le.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9179987Z copying src/executorch/backends/qualcomm/builders/op_linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9181201Z copying src/executorch/backends/qualcomm/builders/op_log.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9182376Z copying src/executorch/backends/qualcomm/builders/op_log_softmax.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9183604Z copying src/executorch/backends/qualcomm/builders/op_logical_not.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9184813Z copying src/executorch/backends/qualcomm/builders/op_lt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9185961Z copying src/executorch/backends/qualcomm/builders/op_matmul.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9187105Z copying src/executorch/backends/qualcomm/builders/op_max.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9188281Z copying src/executorch/backends/qualcomm/builders/op_max_pool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9189459Z copying src/executorch/backends/qualcomm/builders/op_mean_dim.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9190601Z copying src/executorch/backends/qualcomm/builders/op_min.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9191815Z copying src/executorch/backends/qualcomm/builders/op_mul.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9193011Z copying src/executorch/backends/qualcomm/builders/op_ne.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9194379Z copying src/executorch/backends/qualcomm/builders/op_neg.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9195523Z copying src/executorch/backends/qualcomm/builders/op_or.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9196642Z copying src/executorch/backends/qualcomm/builders/op_pad.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9197778Z copying src/executorch/backends/qualcomm/builders/op_pow.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9198931Z copying src/executorch/backends/qualcomm/builders/op_prelu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9200098Z copying src/executorch/backends/qualcomm/builders/op_quantize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9201272Z copying src/executorch/backends/qualcomm/builders/op_relu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9202535Z copying src/executorch/backends/qualcomm/builders/op_repeat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9203715Z copying src/executorch/backends/qualcomm/builders/op_reshape.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9205104Z copying src/executorch/backends/qualcomm/builders/op_resize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9206266Z copying src/executorch/backends/qualcomm/builders/op_rms_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9207446Z copying src/executorch/backends/qualcomm/builders/op_rsqrt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9208711Z copying src/executorch/backends/qualcomm/builders/op_scalar_tensor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9209920Z copying src/executorch/backends/qualcomm/builders/op_select_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9211158Z copying src/executorch/backends/qualcomm/builders/op_sigmoid.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9212476Z copying src/executorch/backends/qualcomm/builders/op_sin.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9213642Z copying src/executorch/backends/qualcomm/builders/op_skip_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9612699Z copying src/executorch/backends/qualcomm/builders/op_slice_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9613960Z copying src/executorch/backends/qualcomm/builders/op_softmax.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9615169Z copying src/executorch/backends/qualcomm/builders/op_space_to_depth.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9616404Z copying src/executorch/backends/qualcomm/builders/op_split_with_sizes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9617619Z copying src/executorch/backends/qualcomm/builders/op_sqrt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9618804Z copying src/executorch/backends/qualcomm/builders/op_squeeze.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9619979Z copying src/executorch/backends/qualcomm/builders/op_stack.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9621129Z copying src/executorch/backends/qualcomm/builders/op_sub.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9622302Z copying src/executorch/backends/qualcomm/builders/op_sum_int_list.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9623525Z copying src/executorch/backends/qualcomm/builders/op_tanh.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9624804Z copying src/executorch/backends/qualcomm/builders/op_to.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9626096Z copying src/executorch/backends/qualcomm/builders/op_topk.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9627268Z copying src/executorch/backends/qualcomm/builders/op_transpose.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9628657Z copying src/executorch/backends/qualcomm/builders/op_unbind.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9629850Z copying src/executorch/backends/qualcomm/builders/op_unsqueeze.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9631168Z copying src/executorch/backends/qualcomm/builders/op_upsample_bilinear2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9632466Z copying src/executorch/backends/qualcomm/builders/op_upsample_nearest2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9633690Z copying src/executorch/backends/qualcomm/builders/op_where.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9634872Z copying src/executorch/backends/qualcomm/builders/qnn_constants.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9636175Z copying src/executorch/backends/qualcomm/builders/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-06-05T23:20:06.9637064Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/debugger 2025-06-05T23:20:06.9637972Z copying src/executorch/backends/qualcomm/debugger/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/debugger 2025-06-05T23:20:06.9638873Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/partition 2025-06-05T23:20:06.9639906Z copying src/executorch/backends/qualcomm/partition/common_defs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/partition 2025-06-05T23:20:06.9641340Z copying src/executorch/backends/qualcomm/partition/qnn_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/partition 2025-06-05T23:20:06.9642671Z copying src/executorch/backends/qualcomm/partition/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/partition 2025-06-05T23:20:06.9643570Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer 2025-06-05T23:20:06.9644519Z copying src/executorch/backends/qualcomm/quantizer/annotators.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer 2025-06-05T23:20:06.9645768Z copying src/executorch/backends/qualcomm/quantizer/custom_annotation.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer 2025-06-05T23:20:06.9647005Z copying src/executorch/backends/qualcomm/quantizer/qconfig.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer 2025-06-05T23:20:06.9648226Z copying src/executorch/backends/qualcomm/quantizer/quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer 2025-06-05T23:20:06.9649170Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/serialization 2025-06-05T23:20:06.9650159Z copying src/executorch/backends/qualcomm/serialization/qc_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/serialization 2025-06-05T23:20:06.9651465Z copying src/executorch/backends/qualcomm/serialization/qc_schema_serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/serialization 2025-06-05T23:20:06.9652453Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/tests 2025-06-05T23:20:06.9653318Z copying src/executorch/backends/qualcomm/tests/models.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/tests 2025-06-05T23:20:06.9654456Z copying src/executorch/backends/qualcomm/tests/test_qnn_delegate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/tests 2025-06-05T23:20:06.9655599Z copying src/executorch/backends/qualcomm/tests/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/tests 2025-06-05T23:20:06.9656460Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/utils 2025-06-05T23:20:06.9657425Z copying src/executorch/backends/qualcomm/utils/constants.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/utils 2025-06-05T23:20:06.9658705Z copying src/executorch/backends/qualcomm/utils/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/utils 2025-06-05T23:20:06.9659748Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer/observers 2025-06-05T23:20:06.9660952Z copying src/executorch/backends/qualcomm/quantizer/observers/per_block_param_observer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer/observers 2025-06-05T23:20:06.9662497Z copying src/executorch/backends/qualcomm/quantizer/observers/per_channel_param_observer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer/observers 2025-06-05T23:20:06.9663656Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/test 2025-06-05T23:20:06.9664818Z copying src/executorch/backends/transforms/test/test_create_delete_constant_placeholder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/test 2025-06-05T23:20:06.9666254Z copying src/executorch/backends/transforms/test/test_duplicate_dynamic_quant_chain.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/test 2025-06-05T23:20:06.9667605Z copying src/executorch/backends/transforms/test/test_rank_0_to_rank_1.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/test 2025-06-05T23:20:06.9668574Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes 2025-06-05T23:20:06.9669404Z copying src/executorch/backends/vulkan/_passes/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes 2025-06-05T23:20:06.9670519Z copying src/executorch/backends/vulkan/_passes/fuse_quantized_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes 2025-06-05T23:20:06.9671903Z copying src/executorch/backends/vulkan/_passes/insert_prepack_nodes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes 2025-06-05T23:20:06.9673333Z copying src/executorch/backends/vulkan/_passes/int4_weight_only_quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes 2025-06-05T23:20:06.9674617Z copying src/executorch/backends/vulkan/_passes/remove_asserts.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes 2025-06-05T23:20:06.9675870Z copying src/executorch/backends/vulkan/_passes/remove_local_scalar_dense_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes 2025-06-05T23:20:06.9677078Z copying src/executorch/backends/vulkan/_passes/remove_redundant_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes 2025-06-05T23:20:06.9678423Z copying src/executorch/backends/vulkan/_passes/squeeze_unsqueeze_inputs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes 2025-06-05T23:20:06.9679604Z copying src/executorch/backends/vulkan/_passes/tag_memory_meta_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes 2025-06-05T23:20:06.9680726Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/partitioner 2025-06-05T23:20:07.0060134Z copying src/executorch/backends/vulkan/partitioner/vulkan_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/partitioner 2025-06-05T23:20:07.0061141Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/quantizer 2025-06-05T23:20:07.0062084Z copying src/executorch/backends/vulkan/quantizer/vulkan_quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/quantizer 2025-06-05T23:20:07.0062999Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime 2025-06-05T23:20:07.0064197Z copying src/executorch/backends/vulkan/runtime/gen_vulkan_spv.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime 2025-06-05T23:20:07.0065224Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/serialization 2025-06-05T23:20:07.0066228Z copying src/executorch/backends/vulkan/serialization/vulkan_graph_builder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/serialization 2025-06-05T23:20:07.0067571Z copying src/executorch/backends/vulkan/serialization/vulkan_graph_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/serialization 2025-06-05T23:20:07.0068929Z copying src/executorch/backends/vulkan/serialization/vulkan_graph_serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/serialization 2025-06-05T23:20:07.0069900Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test 2025-06-05T23:20:07.0071026Z copying src/executorch/backends/vulkan/test/test_serialization.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test 2025-06-05T23:20:07.0072241Z copying src/executorch/backends/vulkan/test/test_vulkan_delegate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test 2025-06-05T23:20:07.0073573Z copying src/executorch/backends/vulkan/test/test_vulkan_delegate_header.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test 2025-06-05T23:20:07.0074739Z copying src/executorch/backends/vulkan/test/test_vulkan_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test 2025-06-05T23:20:07.0075626Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests 2025-06-05T23:20:07.0076552Z copying src/executorch/backends/vulkan/test/op_tests/cases.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests 2025-06-05T23:20:07.0077834Z copying src/executorch/backends/vulkan/test/op_tests/generate_op_benchmarks.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests 2025-06-05T23:20:07.0079220Z copying src/executorch/backends/vulkan/test/op_tests/generate_op_correctness_tests.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests 2025-06-05T23:20:07.0080273Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests/utils 2025-06-05T23:20:07.0081298Z copying src/executorch/backends/vulkan/test/op_tests/utils/aten_types.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests/utils 2025-06-05T23:20:07.0082630Z copying src/executorch/backends/vulkan/test/op_tests/utils/gen_benchmark_vk.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests/utils 2025-06-05T23:20:07.0084038Z copying src/executorch/backends/vulkan/test/op_tests/utils/gen_computegraph.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests/utils 2025-06-05T23:20:07.0085486Z copying src/executorch/backends/vulkan/test/op_tests/utils/gen_correctness_base.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests/utils 2025-06-05T23:20:07.0086863Z copying src/executorch/backends/vulkan/test/op_tests/utils/gen_correctness_vk.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests/utils 2025-06-05T23:20:07.0088203Z copying src/executorch/backends/vulkan/test/op_tests/utils/test_suite.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests/utils 2025-06-05T23:20:07.0089201Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/volk 2025-06-05T23:20:07.0090208Z copying src/executorch/backends/vulkan/third-party/volk/generate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/volk 2025-06-05T23:20:07.0091297Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry 2025-06-05T23:20:07.0092806Z copying src/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/apiconventions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry 2025-06-05T23:20:07.0094518Z copying src/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/cgenerator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry 2025-06-05T23:20:07.0096200Z copying src/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/conventions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry 2025-06-05T23:20:07.0097861Z copying src/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/generator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry 2025-06-05T23:20:07.0099500Z copying src/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/genvk.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry 2025-06-05T23:20:07.0101340Z copying src/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/reg.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry 2025-06-05T23:20:07.0102986Z copying src/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/vkconventions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry 2025-06-05T23:20:07.0104342Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/spec_tools 2025-06-05T23:20:07.0105743Z copying src/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/spec_tools/util.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/spec_tools 2025-06-05T23:20:07.0107166Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis 2025-06-05T23:20:07.0108925Z copying src/executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis/GpuMemDumpVis.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis 2025-06-05T23:20:07.0110416Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes 2025-06-05T23:20:07.0111380Z copying src/executorch/backends/xnnpack/_passes/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes 2025-06-05T23:20:07.0112688Z copying src/executorch/backends/xnnpack/_passes/channels_last_tagged_reshape_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes 2025-06-05T23:20:07.0113935Z copying src/executorch/backends/xnnpack/_passes/conv1d_unsqueeze_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes 2025-06-05T23:20:07.0115134Z copying src/executorch/backends/xnnpack/_passes/convert_to_linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes 2025-06-05T23:20:07.0116398Z copying src/executorch/backends/xnnpack/_passes/convert_to_sdpa.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes 2025-06-05T23:20:07.0117606Z copying src/executorch/backends/xnnpack/_passes/convert_to_upsample_bilinear2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes 2025-06-05T23:20:07.0118825Z copying src/executorch/backends/xnnpack/_passes/decompose_cat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes 2025-06-05T23:20:07.0120004Z copying src/executorch/backends/xnnpack/_passes/fuse_activation_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes 2025-06-05T23:20:07.0121194Z copying src/executorch/backends/xnnpack/_passes/fuse_batch_norm_with_conv.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes 2025-06-05T23:20:07.0122403Z copying src/executorch/backends/xnnpack/_passes/prelu_reshape_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes 2025-06-05T23:20:07.0123719Z copying src/executorch/backends/xnnpack/_passes/tag_implicit_q_dq_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes 2025-06-05T23:20:07.0124928Z copying src/executorch/backends/xnnpack/_passes/xnnpack_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes 2025-06-05T23:20:07.0125826Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-06-05T23:20:07.0126716Z copying src/executorch/backends/xnnpack/operators/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-06-05T23:20:07.0127903Z copying src/executorch/backends/xnnpack/operators/node_visitor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-06-05T23:20:07.0479094Z copying src/executorch/backends/xnnpack/operators/op_abs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-06-05T23:20:07.0480292Z copying src/executorch/backends/xnnpack/operators/op_add.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-06-05T23:20:07.0481456Z copying src/executorch/backends/xnnpack/operators/op_addmm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-06-05T23:20:07.0482660Z copying src/executorch/backends/xnnpack/operators/op_avg_pooling2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-06-05T23:20:07.0483832Z copying src/executorch/backends/xnnpack/operators/op_bmm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-06-05T23:20:07.0484997Z copying src/executorch/backends/xnnpack/operators/op_cat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-06-05T23:20:07.0486181Z copying src/executorch/backends/xnnpack/operators/op_ceiling.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-06-05T23:20:07.0487349Z copying src/executorch/backends/xnnpack/operators/op_clamp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-06-05T23:20:07.0488521Z copying src/executorch/backends/xnnpack/operators/op_conv2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-06-05T23:20:07.0489676Z copying src/executorch/backends/xnnpack/operators/op_div.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-06-05T23:20:07.0491048Z copying src/executorch/backends/xnnpack/operators/op_dynamic_dequantize_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-06-05T23:20:07.0492410Z copying src/executorch/backends/xnnpack/operators/op_dynamic_quantize_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-06-05T23:20:07.0493626Z copying src/executorch/backends/xnnpack/operators/op_elu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-06-05T23:20:07.0494890Z copying src/executorch/backends/xnnpack/operators/op_exp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-06-05T23:20:07.0496048Z copying src/executorch/backends/xnnpack/operators/op_floor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-06-05T23:20:07.0497206Z copying src/executorch/backends/xnnpack/operators/op_gelu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-06-05T23:20:07.0498385Z copying src/executorch/backends/xnnpack/operators/op_hardswish.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-06-05T23:20:07.0499589Z copying src/executorch/backends/xnnpack/operators/op_hardtanh.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-06-05T23:20:07.0500780Z copying src/executorch/backends/xnnpack/operators/op_leaky_relu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-06-05T23:20:07.0502255Z copying src/executorch/backends/xnnpack/operators/op_linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-06-05T23:20:07.0503422Z copying src/executorch/backends/xnnpack/operators/op_log.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-06-05T23:20:07.0504744Z copying src/executorch/backends/xnnpack/operators/op_matrix_multiplication.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-06-05T23:20:07.0506225Z copying src/executorch/backends/xnnpack/operators/op_max_dim.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-06-05T23:20:07.0507578Z copying src/executorch/backends/xnnpack/operators/op_max_pool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-06-05T23:20:07.0508991Z copying src/executorch/backends/xnnpack/operators/op_maximum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-06-05T23:20:07.0510179Z copying src/executorch/backends/xnnpack/operators/op_mean_dim.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-06-05T23:20:07.0511569Z copying src/executorch/backends/xnnpack/operators/op_minimum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-06-05T23:20:07.0512764Z copying src/executorch/backends/xnnpack/operators/op_multiply.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-06-05T23:20:07.0514134Z copying src/executorch/backends/xnnpack/operators/op_negate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-06-05T23:20:07.0515425Z copying src/executorch/backends/xnnpack/operators/op_permute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-06-05T23:20:07.0516943Z copying src/executorch/backends/xnnpack/operators/op_prelu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-06-05T23:20:07.0518138Z copying src/executorch/backends/xnnpack/operators/op_quant_dequant.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-06-05T23:20:07.0519453Z copying src/executorch/backends/xnnpack/operators/op_relu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-06-05T23:20:07.0520741Z copying src/executorch/backends/xnnpack/operators/op_rsqrt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-06-05T23:20:07.0521952Z copying src/executorch/backends/xnnpack/operators/op_sdpa.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-06-05T23:20:07.0523171Z copying src/executorch/backends/xnnpack/operators/op_sigmoid.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-06-05T23:20:07.0524409Z copying src/executorch/backends/xnnpack/operators/op_skip_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-06-05T23:20:07.0525597Z copying src/executorch/backends/xnnpack/operators/op_slice_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-06-05T23:20:07.0526790Z copying src/executorch/backends/xnnpack/operators/op_softmax.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-06-05T23:20:07.0528091Z copying src/executorch/backends/xnnpack/operators/op_square.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-06-05T23:20:07.0529336Z copying src/executorch/backends/xnnpack/operators/op_square_root.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-06-05T23:20:07.0530584Z copying src/executorch/backends/xnnpack/operators/op_squeeze.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-06-05T23:20:07.0531979Z copying src/executorch/backends/xnnpack/operators/op_static_constant_pad.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-06-05T23:20:07.0533279Z copying src/executorch/backends/xnnpack/operators/op_static_resize_bilinear_2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-06-05T23:20:07.0534651Z copying src/executorch/backends/xnnpack/operators/op_sub.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-06-05T23:20:07.0535836Z copying src/executorch/backends/xnnpack/operators/op_to_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-06-05T23:20:07.0537054Z copying src/executorch/backends/xnnpack/operators/quant_params.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-06-05T23:20:07.0538165Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition 2025-06-05T23:20:07.0539096Z copying src/executorch/backends/xnnpack/partition/configs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition 2025-06-05T23:20:07.0540336Z copying src/executorch/backends/xnnpack/partition/xnnpack_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition 2025-06-05T23:20:07.0541426Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/quantizer 2025-06-05T23:20:07.0542380Z copying src/executorch/backends/xnnpack/quantizer/xnnpack_quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/quantizer 2025-06-05T23:20:07.0543690Z copying src/executorch/backends/xnnpack/quantizer/xnnpack_quantizer_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/quantizer 2025-06-05T23:20:07.0544940Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/serialization 2025-06-05T23:20:07.0546081Z copying src/executorch/backends/xnnpack/serialization/xnnpack_graph_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/serialization 2025-06-05T23:20:07.0547561Z copying src/executorch/backends/xnnpack/serialization/xnnpack_graph_serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/serialization 2025-06-05T23:20:07.0548563Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test 2025-06-05T23:20:07.0921107Z copying src/executorch/backends/xnnpack/test/test_xnnpack_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test 2025-06-05T23:20:07.0922384Z copying src/executorch/backends/xnnpack/test/test_xnnpack_utils_classes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test 2025-06-05T23:20:07.0923454Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party 2025-06-05T23:20:07.0924542Z copying src/executorch/backends/xnnpack/third-party/generate-cpuinfo-wrappers.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party 2025-06-05T23:20:07.0925724Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/utils 2025-06-05T23:20:07.0926645Z copying src/executorch/backends/xnnpack/utils/configs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/utils 2025-06-05T23:20:07.0927849Z copying src/executorch/backends/xnnpack/utils/quant_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/utils 2025-06-05T23:20:07.0929160Z copying src/executorch/backends/xnnpack/utils/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/utils 2025-06-05T23:20:07.0930451Z copying src/executorch/backends/xnnpack/utils/xnnpack_constants.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/utils 2025-06-05T23:20:07.0931403Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config 2025-06-05T23:20:07.0932518Z copying src/executorch/backends/xnnpack/partition/config/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config 2025-06-05T23:20:07.0934238Z copying src/executorch/backends/xnnpack/partition/config/gemm_configs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config 2025-06-05T23:20:07.0935756Z copying src/executorch/backends/xnnpack/partition/config/generic_node_configs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config 2025-06-05T23:20:07.0937277Z copying src/executorch/backends/xnnpack/partition/config/node_configs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config 2025-06-05T23:20:07.0938863Z copying src/executorch/backends/xnnpack/partition/config/quant_affine_configs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config 2025-06-05T23:20:07.0940396Z copying src/executorch/backends/xnnpack/partition/config/xnnpack_config.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config 2025-06-05T23:20:07.0941723Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/graphs 2025-06-05T23:20:07.0942807Z copying src/executorch/backends/xnnpack/partition/graphs/bilinear_2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/graphs 2025-06-05T23:20:07.0944142Z copying src/executorch/backends/xnnpack/partition/graphs/sdpa.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/graphs 2025-06-05T23:20:07.0945118Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models 2025-06-05T23:20:07.0946048Z copying src/executorch/backends/xnnpack/test/models/deeplab_v3.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models 2025-06-05T23:20:07.0947250Z copying src/executorch/backends/xnnpack/test/models/edsr.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models 2025-06-05T23:20:07.0948613Z copying src/executorch/backends/xnnpack/test/models/emformer_rnnt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models 2025-06-05T23:20:07.0949938Z copying src/executorch/backends/xnnpack/test/models/inception_v3.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models 2025-06-05T23:20:07.0951275Z copying src/executorch/backends/xnnpack/test/models/inception_v4.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models 2025-06-05T23:20:07.0952539Z copying src/executorch/backends/xnnpack/test/models/llama2_et_example.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models 2025-06-05T23:20:07.0953812Z copying src/executorch/backends/xnnpack/test/models/mobilebert.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models 2025-06-05T23:20:07.0955117Z copying src/executorch/backends/xnnpack/test/models/mobilenet_v2.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models 2025-06-05T23:20:07.0956484Z copying src/executorch/backends/xnnpack/test/models/mobilenet_v3.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models 2025-06-05T23:20:07.0957831Z copying src/executorch/backends/xnnpack/test/models/resnet.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models 2025-06-05T23:20:07.0959132Z copying src/executorch/backends/xnnpack/test/models/torchvision_vit.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models 2025-06-05T23:20:07.0960386Z copying src/executorch/backends/xnnpack/test/models/very_big_model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models 2025-06-05T23:20:07.0961763Z copying src/executorch/backends/xnnpack/test/models/w2l.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models 2025-06-05T23:20:07.0962669Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-06-05T23:20:07.0963691Z copying src/executorch/backends/xnnpack/test/ops/test_abs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-06-05T23:20:07.0964847Z copying src/executorch/backends/xnnpack/test/ops/test_add.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-06-05T23:20:07.0966078Z copying src/executorch/backends/xnnpack/test/ops/test_avgpool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-06-05T23:20:07.0967290Z copying src/executorch/backends/xnnpack/test/ops/test_bilinear2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-06-05T23:20:07.0968457Z copying src/executorch/backends/xnnpack/test/ops/test_bmm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-06-05T23:20:07.0969710Z copying src/executorch/backends/xnnpack/test/ops/test_cat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-06-05T23:20:07.0970941Z copying src/executorch/backends/xnnpack/test/ops/test_ceil.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-06-05T23:20:07.0972201Z copying src/executorch/backends/xnnpack/test/ops/test_check_quant_params.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-06-05T23:20:07.0973587Z copying src/executorch/backends/xnnpack/test/ops/test_clamp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-06-05T23:20:07.0974761Z copying src/executorch/backends/xnnpack/test/ops/test_conv1d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-06-05T23:20:07.0975976Z copying src/executorch/backends/xnnpack/test/ops/test_conv2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-06-05T23:20:07.0977139Z copying src/executorch/backends/xnnpack/test/ops/test_div.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-06-05T23:20:07.0978293Z copying src/executorch/backends/xnnpack/test/ops/test_elu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-06-05T23:20:07.0979428Z copying src/executorch/backends/xnnpack/test/ops/test_exp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-06-05T23:20:07.0980583Z copying src/executorch/backends/xnnpack/test/ops/test_floor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-06-05T23:20:07.0981733Z copying src/executorch/backends/xnnpack/test/ops/test_gelu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-06-05T23:20:07.0982912Z copying src/executorch/backends/xnnpack/test/ops/test_hardswish.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-06-05T23:20:07.0984197Z copying src/executorch/backends/xnnpack/test/ops/test_hardtanh.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-06-05T23:20:07.0985486Z copying src/executorch/backends/xnnpack/test/ops/test_leaky_relu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-06-05T23:20:07.0986672Z copying src/executorch/backends/xnnpack/test/ops/test_linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-06-05T23:20:07.0987835Z copying src/executorch/backends/xnnpack/test/ops/test_log.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-06-05T23:20:07.0988965Z copying src/executorch/backends/xnnpack/test/ops/test_lstm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-06-05T23:20:07.0990124Z copying src/executorch/backends/xnnpack/test/ops/test_max_dim.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-06-05T23:20:07.0991380Z copying src/executorch/backends/xnnpack/test/ops/test_maximum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-06-05T23:20:07.1320146Z copying src/executorch/backends/xnnpack/test/ops/test_maxpool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-06-05T23:20:07.1321423Z copying src/executorch/backends/xnnpack/test/ops/test_mean_dim.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-06-05T23:20:07.1322605Z copying src/executorch/backends/xnnpack/test/ops/test_minimum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-06-05T23:20:07.1323808Z copying src/executorch/backends/xnnpack/test/ops/test_multiply.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-06-05T23:20:07.1324987Z copying src/executorch/backends/xnnpack/test/ops/test_negate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-06-05T23:20:07.1326303Z copying src/executorch/backends/xnnpack/test/ops/test_permute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-06-05T23:20:07.1327482Z copying src/executorch/backends/xnnpack/test/ops/test_pow.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-06-05T23:20:07.1328633Z copying src/executorch/backends/xnnpack/test/ops/test_prelu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-06-05T23:20:07.1329859Z copying src/executorch/backends/xnnpack/test/ops/test_quantize_per_tensor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-06-05T23:20:07.1331091Z copying src/executorch/backends/xnnpack/test/ops/test_relu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-06-05T23:20:07.1332832Z copying src/executorch/backends/xnnpack/test/ops/test_rsqrt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-06-05T23:20:07.1334626Z copying src/executorch/backends/xnnpack/test/ops/test_sdpa.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-06-05T23:20:07.1335939Z copying src/executorch/backends/xnnpack/test/ops/test_sigmoid.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-06-05T23:20:07.1337149Z copying src/executorch/backends/xnnpack/test/ops/test_slice_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-06-05T23:20:07.1338346Z copying src/executorch/backends/xnnpack/test/ops/test_softmax.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-06-05T23:20:07.1339506Z copying src/executorch/backends/xnnpack/test/ops/test_sqrt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-06-05T23:20:07.1340669Z copying src/executorch/backends/xnnpack/test/ops/test_square.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-06-05T23:20:07.1341903Z copying src/executorch/backends/xnnpack/test/ops/test_static_constant_pad.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-06-05T23:20:07.1343434Z copying src/executorch/backends/xnnpack/test/ops/test_sub.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-06-05T23:20:07.1345106Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes 2025-06-05T23:20:07.1346127Z copying src/executorch/backends/xnnpack/test/passes/test_activation_fusion.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes 2025-06-05T23:20:07.1347462Z copying src/executorch/backends/xnnpack/test/passes/test_batch_norm_fusion.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes 2025-06-05T23:20:07.1348826Z copying src/executorch/backends/xnnpack/test/passes/test_channels_last_tagged_reshape.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes 2025-06-05T23:20:07.1350340Z copying src/executorch/backends/xnnpack/test/passes/test_convert_to_linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes 2025-06-05T23:20:07.1351762Z copying src/executorch/backends/xnnpack/test/passes/test_decompose_cat_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes 2025-06-05T23:20:07.1353405Z copying src/executorch/backends/xnnpack/test/passes/test_remove_get_item_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes 2025-06-05T23:20:07.1355563Z copying src/executorch/backends/xnnpack/test/passes/test_tag_implicit_q_dq_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes 2025-06-05T23:20:07.1356593Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/quantizer 2025-06-05T23:20:07.1357677Z copying src/executorch/backends/xnnpack/test/quantizer/test_pt2e_quantization.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/quantizer 2025-06-05T23:20:07.1359196Z copying src/executorch/backends/xnnpack/test/quantizer/test_representation.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/quantizer 2025-06-05T23:20:07.1360589Z copying src/executorch/backends/xnnpack/test/quantizer/test_xnnpack_quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/quantizer 2025-06-05T23:20:07.1362045Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/serialization 2025-06-05T23:20:07.1363871Z copying src/executorch/backends/xnnpack/test/serialization/test_serialization.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/serialization 2025-06-05T23:20:07.1365340Z copying src/executorch/backends/xnnpack/test/serialization/test_xnnheader.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/serialization 2025-06-05T23:20:07.1366391Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/tester 2025-06-05T23:20:07.1367329Z copying src/executorch/backends/xnnpack/test/tester/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/tester 2025-06-05T23:20:07.1368536Z copying src/executorch/backends/xnnpack/test/tester/tester.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/tester 2025-06-05T23:20:07.1369509Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FP16 2025-06-05T23:20:07.1371327Z copying src/executorch/backends/xnnpack/third-party/FP16/configure.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FP16 2025-06-05T23:20:07.1372847Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FXdiv 2025-06-05T23:20:07.1373914Z copying src/executorch/backends/xnnpack/third-party/FXdiv/configure.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FXdiv 2025-06-05T23:20:07.1374976Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo 2025-06-05T23:20:07.1376052Z copying src/executorch/backends/xnnpack/third-party/cpuinfo/configure.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo 2025-06-05T23:20:07.1377123Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/pthreadpool 2025-06-05T23:20:07.1378809Z copying src/executorch/backends/xnnpack/third-party/pthreadpool/configure.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/pthreadpool 2025-06-05T23:20:07.1380621Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FP16/include/fp16 2025-06-05T23:20:07.1381821Z copying src/executorch/backends/xnnpack/third-party/FP16/include/fp16/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FP16/include/fp16 2025-06-05T23:20:07.1383351Z copying src/executorch/backends/xnnpack/third-party/FP16/include/fp16/avx.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FP16/include/fp16 2025-06-05T23:20:07.1385016Z copying src/executorch/backends/xnnpack/third-party/FP16/include/fp16/avx2.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FP16/include/fp16 2025-06-05T23:20:07.1386198Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FP16/test/peachpy 2025-06-05T23:20:07.1387396Z copying src/executorch/backends/xnnpack/third-party/FP16/test/peachpy/stubs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FP16/test/peachpy 2025-06-05T23:20:07.1388559Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts 2025-06-05T23:20:07.1389748Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/scripts/check_config.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts 2025-06-05T23:20:07.1392090Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/scripts/check_files_changed.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts 2025-06-05T23:20:07.1394324Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/scripts/generate-build-identifier.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts 2025-06-05T23:20:07.1395983Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/scripts/sort-filenames.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts 2025-06-05T23:20:07.1921833Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:07.1923117Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-argmaxpool-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:07.1924794Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:07.1926430Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc2chw-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:07.1928233Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-multipass-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:07.1929981Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-unipass-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:07.1932077Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv2d-chw-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:07.1933934Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-gemm-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:07.1935939Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-ibilinear-chw-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:07.1937710Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-ibilinear-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:07.1939360Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-lut-norm-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:07.1941259Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-lut-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:07.1943201Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddexpminusmax-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:07.1944871Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddextexp-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:07.1946594Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddstoreexpminusmax-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:07.1948314Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-rdsum-benchmark.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:07.1950170Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-rdsum-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:07.1951858Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-reduce-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:07.1953444Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-spmm-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:07.1955025Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vbinary-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:07.1956657Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vmulcaddc-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:07.1958440Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vscaleexpminusmax-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:07.1960301Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vscaleextexp-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:07.1962046Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vunary-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:07.1963589Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/primes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:07.1965120Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/update-microkernels.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:07.1966668Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/xngen.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:07.1968155Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/xnncommon.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:07.1969442Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/scripts 2025-06-05T23:20:07.1970728Z copying src/executorch/backends/xnnpack/third-party/cpuinfo/scripts/android-device-dump.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/scripts 2025-06-05T23:20:07.1972398Z copying src/executorch/backends/xnnpack/third-party/cpuinfo/scripts/arm-linux-filesystem-dump.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/scripts 2025-06-05T23:20:07.1974412Z copying src/executorch/backends/xnnpack/third-party/cpuinfo/scripts/parse-x86-cpuid-dump.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/scripts 2025-06-05T23:20:07.1975669Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/deps/clog 2025-06-05T23:20:07.1976900Z copying src/executorch/backends/xnnpack/third-party/cpuinfo/deps/clog/configure.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/deps/clog 2025-06-05T23:20:07.1977954Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/api 2025-06-05T23:20:07.1978788Z copying src/executorch/codegen/api/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/api 2025-06-05T23:20:07.1979819Z copying src/executorch/codegen/api/custom_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/api 2025-06-05T23:20:07.1980934Z copying src/executorch/codegen/api/et_cpp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/api 2025-06-05T23:20:07.1981810Z copying src/executorch/codegen/api/unboxing.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/api 2025-06-05T23:20:07.1982521Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/test 2025-06-05T23:20:07.1983316Z copying src/executorch/codegen/test/test_executorch_custom_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/test 2025-06-05T23:20:07.1984321Z copying src/executorch/codegen/test/test_executorch_gen.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/test 2025-06-05T23:20:07.1985343Z copying src/executorch/codegen/test/test_executorch_signatures.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/test 2025-06-05T23:20:07.1986428Z copying src/executorch/codegen/test/test_executorch_types.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/test 2025-06-05T23:20:07.1987528Z copying src/executorch/codegen/test/test_executorch_unboxing.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/test 2025-06-05T23:20:07.1988547Z copying src/executorch/codegen/test/test_selective_build.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/test 2025-06-05T23:20:07.1989308Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools 2025-06-05T23:20:07.1990029Z copying src/executorch/codegen/tools/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools 2025-06-05T23:20:07.1991036Z copying src/executorch/codegen/tools/gen_all_oplist.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools 2025-06-05T23:20:07.1991964Z copying src/executorch/codegen/tools/gen_oplist.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools 2025-06-05T23:20:07.1992885Z copying src/executorch/codegen/tools/gen_ops_def.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools 2025-06-05T23:20:07.1993863Z copying src/executorch/codegen/tools/gen_selected_op_variants.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools 2025-06-05T23:20:07.2314429Z copying src/executorch/codegen/tools/merge_yaml.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools 2025-06-05T23:20:07.2315417Z copying src/executorch/codegen/tools/yaml_util.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools 2025-06-05T23:20:07.2316161Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/api/types 2025-06-05T23:20:07.2316948Z copying src/executorch/codegen/api/types/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/api/types 2025-06-05T23:20:07.2317959Z copying src/executorch/codegen/api/types/signatures.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/api/types 2025-06-05T23:20:07.2318952Z copying src/executorch/codegen/api/types/types.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/api/types 2025-06-05T23:20:07.2319752Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/test 2025-06-05T23:20:07.2320848Z copying src/executorch/codegen/tools/test/test_gen_all_oplist.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/test 2025-06-05T23:20:07.2322102Z copying src/executorch/codegen/tools/test/test_gen_oplist.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/test 2025-06-05T23:20:07.2323307Z copying src/executorch/codegen/tools/test/test_gen_oplist_real_model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/test 2025-06-05T23:20:07.2324453Z copying src/executorch/codegen/tools/test/test_gen_selected_op_variants.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/test 2025-06-05T23:20:07.2325347Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/backend_debug 2025-06-05T23:20:07.2326182Z copying src/executorch/devtools/backend_debug/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/backend_debug 2025-06-05T23:20:07.2327376Z copying src/executorch/devtools/backend_debug/delegation_info.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/backend_debug 2025-06-05T23:20:07.2328264Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program 2025-06-05T23:20:07.2329235Z copying src/executorch/devtools/bundled_program/config.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program 2025-06-05T23:20:07.2330319Z copying src/executorch/devtools/bundled_program/core.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program 2025-06-05T23:20:07.2331406Z copying src/executorch/devtools/bundled_program/version.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program 2025-06-05T23:20:07.2332249Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/debug_format 2025-06-05T23:20:07.2333087Z copying src/executorch/devtools/debug_format/base_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/debug_format 2025-06-05T23:20:07.2334134Z copying src/executorch/devtools/debug_format/et_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/debug_format 2025-06-05T23:20:07.2334943Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etdump 2025-06-05T23:20:07.2335919Z copying src/executorch/devtools/etdump/schema_flatcc.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etdump 2025-06-05T23:20:07.2336978Z copying src/executorch/devtools/etdump/serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etdump 2025-06-05T23:20:07.2337851Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etrecord 2025-06-05T23:20:07.2338857Z copying src/executorch/devtools/etrecord/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etrecord 2025-06-05T23:20:07.2339935Z copying src/executorch/devtools/etrecord/_etrecord.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etrecord 2025-06-05T23:20:07.2340785Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector 2025-06-05T23:20:07.2341725Z copying src/executorch/devtools/inspector/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector 2025-06-05T23:20:07.2342788Z copying src/executorch/devtools/inspector/_inspector.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector 2025-06-05T23:20:07.2344072Z copying src/executorch/devtools/inspector/_inspector_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector 2025-06-05T23:20:07.2358046Z copying src/executorch/devtools/inspector/_intermediate_output_capturer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector 2025-06-05T23:20:07.2359299Z copying src/executorch/devtools/inspector/inspector_cli.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector 2025-06-05T23:20:07.2360273Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/size_analysis_tool 2025-06-05T23:20:07.2361416Z copying src/executorch/devtools/size_analysis_tool/size_analysis_tool.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/size_analysis_tool 2025-06-05T23:20:07.2362636Z copying src/executorch/devtools/size_analysis_tool/size_analysis_tool_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/size_analysis_tool 2025-06-05T23:20:07.2363571Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/visualization 2025-06-05T23:20:07.2364431Z copying src/executorch/devtools/visualization/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/visualization 2025-06-05T23:20:07.2365574Z copying src/executorch/devtools/visualization/visualization_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/visualization 2025-06-05T23:20:07.2366974Z copying src/executorch/devtools/visualization/visualization_utils_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/visualization 2025-06-05T23:20:07.2368017Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/backend_debug/tests 2025-06-05T23:20:07.2368971Z copying src/executorch/devtools/backend_debug/tests/test_delegation_info.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/backend_debug/tests 2025-06-05T23:20:07.2369951Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema 2025-06-05T23:20:07.2370885Z copying src/executorch/devtools/bundled_program/schema/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema 2025-06-05T23:20:07.2372159Z copying src/executorch/devtools/bundled_program/schema/bundled_program_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema 2025-06-05T23:20:07.2373440Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/serialize 2025-06-05T23:20:07.2374474Z copying src/executorch/devtools/bundled_program/serialize/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/serialize 2025-06-05T23:20:07.2375449Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/test 2025-06-05T23:20:07.2376401Z copying src/executorch/devtools/bundled_program/test/test_bundle_data.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/test 2025-06-05T23:20:07.2377631Z copying src/executorch/devtools/bundled_program/test/test_config.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/test 2025-06-05T23:20:07.2378847Z copying src/executorch/devtools/bundled_program/test/test_end2end.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/test 2025-06-05T23:20:07.2379774Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/util 2025-06-05T23:20:07.2380811Z copying src/executorch/devtools/bundled_program/util/test_util.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/util 2025-06-05T23:20:07.2381780Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema/test 2025-06-05T23:20:07.2382814Z copying src/executorch/devtools/bundled_program/schema/test/test_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema/test 2025-06-05T23:20:07.2383870Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/serialize/test 2025-06-05T23:20:07.2384956Z copying src/executorch/devtools/bundled_program/serialize/test/test_serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/serialize/test 2025-06-05T23:20:07.2385972Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etdump/tests 2025-06-05T23:20:07.2386853Z copying src/executorch/devtools/etdump/tests/serialize_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etdump/tests 2025-06-05T23:20:07.2387720Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etrecord/tests 2025-06-05T23:20:07.2388778Z copying src/executorch/devtools/etrecord/tests/etrecord_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etrecord/tests 2025-06-05T23:20:07.2389669Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector/tests 2025-06-05T23:20:07.2390708Z copying src/executorch/devtools/inspector/tests/event_blocks_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector/tests 2025-06-05T23:20:07.2392006Z copying src/executorch/devtools/inspector/tests/inspector_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector/tests 2025-06-05T23:20:07.2393225Z copying src/executorch/devtools/inspector/tests/inspector_test_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector/tests 2025-06-05T23:20:07.2394473Z copying src/executorch/devtools/inspector/tests/inspector_utils_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector/tests 2025-06-05T23:20:07.2736784Z copying src/executorch/devtools/inspector/tests/intermediate_output_capturer_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector/tests 2025-06-05T23:20:07.2737965Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning 2025-06-05T23:20:07.2738862Z copying src/executorch/examples/llm_pte_finetuning/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning 2025-06-05T23:20:07.2740170Z copying src/executorch/examples/llm_pte_finetuning/model_exporter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning 2025-06-05T23:20:07.2741562Z copying src/executorch/examples/llm_pte_finetuning/model_loading_lib.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning 2025-06-05T23:20:07.2742858Z copying src/executorch/examples/llm_pte_finetuning/runner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning 2025-06-05T23:20:07.2744013Z copying src/executorch/examples/llm_pte_finetuning/training_lib.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning 2025-06-05T23:20:07.2744893Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models 2025-06-05T23:20:07.2745646Z copying src/executorch/examples/models/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models 2025-06-05T23:20:07.2746604Z copying src/executorch/examples/models/checkpoint.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models 2025-06-05T23:20:07.2747730Z copying src/executorch/examples/models/model_base.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models 2025-06-05T23:20:07.2748725Z copying src/executorch/examples/models/model_factory.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models 2025-06-05T23:20:07.2749601Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/llama 2025-06-05T23:20:07.2750576Z copying src/executorch/examples/apple/coreml/llama/export.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/llama 2025-06-05T23:20:07.2751893Z copying src/executorch/examples/apple/coreml/llama/llama_transformer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/llama 2025-06-05T23:20:07.2753126Z copying src/executorch/examples/apple/coreml/llama/run.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/llama 2025-06-05T23:20:07.2754292Z copying src/executorch/examples/apple/coreml/llama/test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/llama 2025-06-05T23:20:07.2755454Z copying src/executorch/examples/apple/coreml/llama/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/llama 2025-06-05T23:20:07.2756383Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/scripts 2025-06-05T23:20:07.2757353Z copying src/executorch/examples/apple/coreml/scripts/debugger_cli.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/scripts 2025-06-05T23:20:07.2758969Z copying src/executorch/examples/apple/coreml/scripts/export.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/scripts 2025-06-05T23:20:07.2760277Z copying src/executorch/examples/apple/coreml/scripts/extract_coreml_models.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/scripts 2025-06-05T23:20:07.2761878Z copying src/executorch/examples/apple/coreml/scripts/inspector_cli.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/scripts 2025-06-05T23:20:07.2763247Z copying src/executorch/examples/apple/coreml/scripts/inspector_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/scripts 2025-06-05T23:20:07.2764354Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/mps/scripts 2025-06-05T23:20:07.2765343Z copying src/executorch/examples/apple/mps/scripts/bench_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/mps/scripts 2025-06-05T23:20:07.2766699Z copying src/executorch/examples/apple/mps/scripts/mps_example.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/mps/scripts 2025-06-05T23:20:07.2767612Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/deeplab_v3 2025-06-05T23:20:07.2768509Z copying src/executorch/examples/models/deeplab_v3/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/deeplab_v3 2025-06-05T23:20:07.2769640Z copying src/executorch/examples/models/deeplab_v3/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/deeplab_v3 2025-06-05T23:20:07.2770622Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/edsr 2025-06-05T23:20:07.2771442Z copying src/executorch/examples/models/edsr/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/edsr 2025-06-05T23:20:07.2772526Z copying src/executorch/examples/models/edsr/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/edsr 2025-06-05T23:20:07.2773698Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam 2025-06-05T23:20:07.2774702Z copying src/executorch/examples/models/efficient_sam/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam 2025-06-05T23:20:07.2775875Z copying src/executorch/examples/models/efficient_sam/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam 2025-06-05T23:20:07.2776805Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/emformer_rnnt 2025-06-05T23:20:07.2777733Z copying src/executorch/examples/models/emformer_rnnt/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/emformer_rnnt 2025-06-05T23:20:07.2778902Z copying src/executorch/examples/models/emformer_rnnt/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/emformer_rnnt 2025-06-05T23:20:07.2779824Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/inception_v3 2025-06-05T23:20:07.2780859Z copying src/executorch/examples/models/inception_v3/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/inception_v3 2025-06-05T23:20:07.2782028Z copying src/executorch/examples/models/inception_v3/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/inception_v3 2025-06-05T23:20:07.2783153Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/inception_v4 2025-06-05T23:20:07.2784184Z copying src/executorch/examples/models/inception_v4/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/inception_v4 2025-06-05T23:20:07.2785442Z copying src/executorch/examples/models/inception_v4/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/inception_v4 2025-06-05T23:20:07.2786543Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama 2025-06-05T23:20:07.2787606Z copying src/executorch/examples/models/llama/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama 2025-06-05T23:20:07.2788807Z copying src/executorch/examples/models/llama/attention.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama 2025-06-05T23:20:07.2790007Z copying src/executorch/examples/models/llama/eval_llama.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama 2025-06-05T23:20:07.2791239Z copying src/executorch/examples/models/llama/eval_llama_lib.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama 2025-06-05T23:20:07.2792531Z copying src/executorch/examples/models/llama/export_llama.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama 2025-06-05T23:20:07.2793708Z copying src/executorch/examples/models/llama/export_llama_lib.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama 2025-06-05T23:20:07.2795014Z copying src/executorch/examples/models/llama/fairseq2.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama 2025-06-05T23:20:07.2796105Z copying src/executorch/examples/models/llama/hf_download.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama 2025-06-05T23:20:07.2797285Z copying src/executorch/examples/models/llama/install_requirement_helper.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama 2025-06-05T23:20:07.2798498Z copying src/executorch/examples/models/llama/llama_transformer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama 2025-06-05T23:20:07.2799721Z copying src/executorch/examples/models/llama/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama 2025-06-05T23:20:07.2800795Z copying src/executorch/examples/models/llama/model_args.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama 2025-06-05T23:20:07.2802071Z copying src/executorch/examples/models/llama/norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama 2025-06-05T23:20:07.2803264Z copying src/executorch/examples/models/llama/rope.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama 2025-06-05T23:20:07.2804505Z copying src/executorch/examples/models/llama/static_attention.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama 2025-06-05T23:20:07.2805420Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision 2025-06-05T23:20:07.2806367Z copying src/executorch/examples/models/llama3_2_vision/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision 2025-06-05T23:20:07.3123813Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava 2025-06-05T23:20:07.3124919Z copying src/executorch/examples/models/llava/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava 2025-06-05T23:20:07.3126177Z copying src/executorch/examples/models/llava/export_llava.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava 2025-06-05T23:20:07.3127308Z copying src/executorch/examples/models/llava/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava 2025-06-05T23:20:07.3128158Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/lstm 2025-06-05T23:20:07.3129031Z copying src/executorch/examples/models/lstm/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/lstm 2025-06-05T23:20:07.3130164Z copying src/executorch/examples/models/lstm/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/lstm 2025-06-05T23:20:07.3131006Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilebert 2025-06-05T23:20:07.3131917Z copying src/executorch/examples/models/mobilebert/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilebert 2025-06-05T23:20:07.3133165Z copying src/executorch/examples/models/mobilebert/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilebert 2025-06-05T23:20:07.3134329Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilenet_v2 2025-06-05T23:20:07.3135298Z copying src/executorch/examples/models/mobilenet_v2/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilenet_v2 2025-06-05T23:20:07.3136664Z copying src/executorch/examples/models/mobilenet_v2/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilenet_v2 2025-06-05T23:20:07.3137687Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilenet_v3 2025-06-05T23:20:07.3138588Z copying src/executorch/examples/models/mobilenet_v3/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilenet_v3 2025-06-05T23:20:07.3139759Z copying src/executorch/examples/models/mobilenet_v3/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilenet_v3 2025-06-05T23:20:07.3140824Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini-lora 2025-06-05T23:20:07.3141794Z copying src/executorch/examples/models/phi-3-mini-lora/export_model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini-lora 2025-06-05T23:20:07.3142756Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini 2025-06-05T23:20:07.3143632Z copying src/executorch/examples/models/phi-3-mini/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini 2025-06-05T23:20:07.3144753Z copying src/executorch/examples/models/phi-3-mini/eager.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini 2025-06-05T23:20:07.3145922Z copying src/executorch/examples/models/phi-3-mini/export_phi-3-mini.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini 2025-06-05T23:20:07.3147087Z copying src/executorch/examples/models/phi-3-mini/phi_3_mini.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini 2025-06-05T23:20:07.3148338Z copying src/executorch/examples/models/phi-3-mini/static_cache.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini 2025-06-05T23:20:07.3149306Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi_4_mini 2025-06-05T23:20:07.3150168Z copying src/executorch/examples/models/phi_4_mini/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi_4_mini 2025-06-05T23:20:07.3151400Z copying src/executorch/examples/models/phi_4_mini/convert_weights.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi_4_mini 2025-06-05T23:20:07.3152537Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/qwen2_5 2025-06-05T23:20:07.3153593Z copying src/executorch/examples/models/qwen2_5/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/qwen2_5 2025-06-05T23:20:07.3154814Z copying src/executorch/examples/models/qwen2_5/convert_weights.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/qwen2_5 2025-06-05T23:20:07.3155683Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/qwen3 2025-06-05T23:20:07.3156513Z copying src/executorch/examples/models/qwen3/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/qwen3 2025-06-05T23:20:07.3157602Z copying src/executorch/examples/models/qwen3/convert_weights.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/qwen3 2025-06-05T23:20:07.3158484Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/resnet 2025-06-05T23:20:07.3159334Z copying src/executorch/examples/models/resnet/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/resnet 2025-06-05T23:20:07.3160402Z copying src/executorch/examples/models/resnet/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/resnet 2025-06-05T23:20:07.3161370Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/smollm2 2025-06-05T23:20:07.3162221Z copying src/executorch/examples/models/smollm2/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/smollm2 2025-06-05T23:20:07.3163504Z copying src/executorch/examples/models/smollm2/convert_weights.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/smollm2 2025-06-05T23:20:07.3164436Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/test 2025-06-05T23:20:07.3165250Z copying src/executorch/examples/models/test/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/test 2025-06-05T23:20:07.3166610Z copying src/executorch/examples/models/test/test_export.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/test 2025-06-05T23:20:07.3167597Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/torchvision_vit 2025-06-05T23:20:07.3168572Z copying src/executorch/examples/models/torchvision_vit/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/torchvision_vit 2025-06-05T23:20:07.3169815Z copying src/executorch/examples/models/torchvision_vit/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/torchvision_vit 2025-06-05T23:20:07.3170883Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/toy_model 2025-06-05T23:20:07.3171757Z copying src/executorch/examples/models/toy_model/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/toy_model 2025-06-05T23:20:07.3173109Z copying src/executorch/examples/models/toy_model/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/toy_model 2025-06-05T23:20:07.3174068Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/wav2letter 2025-06-05T23:20:07.3175026Z copying src/executorch/examples/models/wav2letter/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/wav2letter 2025-06-05T23:20:07.3176181Z copying src/executorch/examples/models/wav2letter/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/wav2letter 2025-06-05T23:20:07.3177195Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core 2025-06-05T23:20:07.3178591Z copying src/executorch/examples/models/efficient_sam/efficient_sam_core/build_efficient_sam.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core 2025-06-05T23:20:07.3180196Z copying src/executorch/examples/models/efficient_sam/efficient_sam_core/efficient_sam.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core 2025-06-05T23:20:07.3182068Z copying src/executorch/examples/models/efficient_sam/efficient_sam_core/efficient_sam_decoder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core 2025-06-05T23:20:07.3184124Z copying src/executorch/examples/models/efficient_sam/efficient_sam_core/efficient_sam_encoder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core 2025-06-05T23:20:07.3185934Z copying src/executorch/examples/models/efficient_sam/efficient_sam_core/mlp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core 2025-06-05T23:20:07.3187497Z copying src/executorch/examples/models/efficient_sam/efficient_sam_core/two_way_transformer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core 2025-06-05T23:20:07.3188666Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/evaluate 2025-06-05T23:20:07.3189630Z copying src/executorch/examples/models/llama/evaluate/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/evaluate 2025-06-05T23:20:07.3191140Z copying src/executorch/examples/models/llama/evaluate/eager_eval.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/evaluate 2025-06-05T23:20:07.3192155Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/experimental 2025-06-05T23:20:07.3193214Z copying src/executorch/examples/models/llama/experimental/generate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/experimental 2025-06-05T23:20:07.3503735Z copying src/executorch/examples/models/llama/experimental/load_gguf_q4_0.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/experimental 2025-06-05T23:20:07.3505790Z copying src/executorch/examples/models/llama/experimental/subclass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/experimental 2025-06-05T23:20:07.3507182Z copying src/executorch/examples/models/llama/experimental/test_subclass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/experimental 2025-06-05T23:20:07.3508412Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/runner 2025-06-05T23:20:07.3509367Z copying src/executorch/examples/models/llama/runner/eager.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/runner 2025-06-05T23:20:07.3510585Z copying src/executorch/examples/models/llama/runner/generation.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/runner 2025-06-05T23:20:07.3512047Z copying src/executorch/examples/models/llama/runner/native.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/runner 2025-06-05T23:20:07.3513293Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation 2025-06-05T23:20:07.3514586Z copying src/executorch/examples/models/llama/source_transformation/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation 2025-06-05T23:20:07.3516148Z copying src/executorch/examples/models/llama/source_transformation/apply_spin_quant_r1_r2.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation 2025-06-05T23:20:07.3517699Z copying src/executorch/examples/models/llama/source_transformation/attention.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation 2025-06-05T23:20:07.3519356Z copying src/executorch/examples/models/llama/source_transformation/attention_sink.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation 2025-06-05T23:20:07.3520891Z copying src/executorch/examples/models/llama/source_transformation/custom_kv_cache.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation 2025-06-05T23:20:07.3522693Z copying src/executorch/examples/models/llama/source_transformation/lora.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation 2025-06-05T23:20:07.3524364Z copying src/executorch/examples/models/llama/source_transformation/pre_quantization.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation 2025-06-05T23:20:07.3525907Z copying src/executorch/examples/models/llama/source_transformation/prune_vocab.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation 2025-06-05T23:20:07.3527453Z copying src/executorch/examples/models/llama/source_transformation/quantize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation 2025-06-05T23:20:07.3529023Z copying src/executorch/examples/models/llama/source_transformation/rms_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation 2025-06-05T23:20:07.3530553Z copying src/executorch/examples/models/llama/source_transformation/rope.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation 2025-06-05T23:20:07.3532273Z copying src/executorch/examples/models/llama/source_transformation/sdpa.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation 2025-06-05T23:20:07.3533886Z copying src/executorch/examples/models/llama/source_transformation/spin_quant.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation 2025-06-05T23:20:07.3535421Z copying src/executorch/examples/models/llama/source_transformation/test_attention_sink.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation 2025-06-05T23:20:07.3537275Z copying src/executorch/examples/models/llama/source_transformation/test_quantized_kv_cache.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation 2025-06-05T23:20:07.3539213Z copying src/executorch/examples/models/llama/source_transformation/test_quantized_sdpa.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation 2025-06-05T23:20:07.3541052Z copying src/executorch/examples/models/llama/source_transformation/test_sdpa_with_quantized_kv_cache.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation 2025-06-05T23:20:07.3542764Z copying src/executorch/examples/models/llama/source_transformation/vulkan_rope.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation 2025-06-05T23:20:07.3543835Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/tests 2025-06-05T23:20:07.3544815Z copying src/executorch/examples/models/llama/tests/test_export_llama_lib.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/tests 2025-06-05T23:20:07.3546150Z copying src/executorch/examples/models/llama/tests/test_pre_quantization_transforms.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/tests 2025-06-05T23:20:07.3547555Z copying src/executorch/examples/models/llama/tests/test_replace_kv_cache.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/tests 2025-06-05T23:20:07.3549123Z copying src/executorch/examples/models/llama/tests/test_ring_attention.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/tests 2025-06-05T23:20:07.3550516Z copying src/executorch/examples/models/llama/tests/test_ring_kv_cache.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/tests 2025-06-05T23:20:07.3551856Z copying src/executorch/examples/models/llama/tests/test_simple_sdpa.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/tests 2025-06-05T23:20:07.3553129Z copying src/executorch/examples/models/llama/tests/test_static_attention.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/tests 2025-06-05T23:20:07.3554114Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/tokenizer 2025-06-05T23:20:07.3555124Z copying src/executorch/examples/models/llama/tokenizer/tiktoken.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/tokenizer 2025-06-05T23:20:07.3556334Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/preprocess 2025-06-05T23:20:07.3557445Z copying src/executorch/examples/models/llama3_2_vision/preprocess/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/preprocess 2025-06-05T23:20:07.3558920Z copying src/executorch/examples/models/llama3_2_vision/preprocess/export_preprocess.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/preprocess 2025-06-05T23:20:07.3560379Z copying src/executorch/examples/models/llama3_2_vision/preprocess/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/preprocess 2025-06-05T23:20:07.3561856Z copying src/executorch/examples/models/llama3_2_vision/preprocess/test_preprocess.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/preprocess 2025-06-05T23:20:07.3563248Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/runner 2025-06-05T23:20:07.3564288Z copying src/executorch/examples/models/llama3_2_vision/runner/eager.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/runner 2025-06-05T23:20:07.3565645Z copying src/executorch/examples/models/llama3_2_vision/runner/exported.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/runner 2025-06-05T23:20:07.3567024Z copying src/executorch/examples/models/llama3_2_vision/runner/generation.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/runner 2025-06-05T23:20:07.3568488Z copying src/executorch/examples/models/llama3_2_vision/runner/native.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/runner 2025-06-05T23:20:07.3569810Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/text_decoder 2025-06-05T23:20:07.3570933Z copying src/executorch/examples/models/llama3_2_vision/text_decoder/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/text_decoder 2025-06-05T23:20:07.3572065Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/vision_encoder 2025-06-05T23:20:07.3573432Z copying src/executorch/examples/models/llama3_2_vision/vision_encoder/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/vision_encoder 2025-06-05T23:20:07.3574894Z copying src/executorch/examples/models/llama3_2_vision/vision_encoder/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/vision_encoder 2025-06-05T23:20:07.3962581Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/text_decoder/test 2025-06-05T23:20:07.3964058Z copying src/executorch/examples/models/llama3_2_vision/text_decoder/test/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/text_decoder/test 2025-06-05T23:20:07.3965705Z copying src/executorch/examples/models/llama3_2_vision/text_decoder/test/test_text_decoder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/text_decoder/test 2025-06-05T23:20:07.3967063Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/vision_encoder/test 2025-06-05T23:20:07.3968455Z copying src/executorch/examples/models/llama3_2_vision/vision_encoder/test/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/vision_encoder/test 2025-06-05T23:20:07.3970068Z copying src/executorch/examples/models/llama3_2_vision/vision_encoder/test/test_vision_encoder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/vision_encoder/test 2025-06-05T23:20:07.3971365Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava/test 2025-06-05T23:20:07.3972303Z copying src/executorch/examples/models/llava/test/test_llava.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava/test 2025-06-05T23:20:07.3973766Z copying src/executorch/examples/models/llava/test/test_pte.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava/test 2025-06-05T23:20:07.3974825Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/moshi/mimi 2025-06-05T23:20:07.3975846Z copying src/executorch/examples/models/moshi/mimi/test_mimi.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/moshi/mimi 2025-06-05T23:20:07.3976703Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize 2025-06-05T23:20:07.3977435Z copying src/executorch/exir/_serialize/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize 2025-06-05T23:20:07.3978325Z copying src/executorch/exir/_serialize/_cord.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize 2025-06-05T23:20:07.3979603Z copying src/executorch/exir/_serialize/_dataclass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize 2025-06-05T23:20:07.3980617Z copying src/executorch/exir/_serialize/_flatbuffer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize 2025-06-05T23:20:07.3981673Z copying src/executorch/exir/_serialize/_named_data_store.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize 2025-06-05T23:20:07.3982767Z copying src/executorch/exir/_serialize/_program.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize 2025-06-05T23:20:07.3983680Z copying src/executorch/exir/_serialize/_serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize 2025-06-05T23:20:07.3984641Z copying src/executorch/exir/_serialize/data_serializer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize 2025-06-05T23:20:07.3985866Z copying src/executorch/exir/_serialize/padding.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize 2025-06-05T23:20:07.3986592Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend 2025-06-05T23:20:07.3987389Z copying src/executorch/exir/backend/backend_api.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend 2025-06-05T23:20:07.3988392Z copying src/executorch/exir/backend/backend_details.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend 2025-06-05T23:20:07.3989580Z copying src/executorch/exir/backend/compile_spec_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend 2025-06-05T23:20:07.3990579Z copying src/executorch/exir/backend/operator_support.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend 2025-06-05T23:20:07.3991626Z copying src/executorch/exir/backend/partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend 2025-06-05T23:20:07.3992652Z copying src/executorch/exir/backend/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend 2025-06-05T23:20:07.3993396Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture 2025-06-05T23:20:07.3994156Z copying src/executorch/exir/capture/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture 2025-06-05T23:20:07.3995034Z copying src/executorch/exir/capture/_capture.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture 2025-06-05T23:20:07.3996016Z copying src/executorch/exir/capture/_config.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture 2025-06-05T23:20:07.3997084Z copying src/executorch/exir/capture/_unlift.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture 2025-06-05T23:20:07.3997787Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects 2025-06-05T23:20:07.3998512Z copying src/executorch/exir/dialects/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects 2025-06-05T23:20:07.3999538Z copying src/executorch/exir/dialects/_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects 2025-06-05T23:20:07.4000224Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit 2025-06-05T23:20:07.4000942Z copying src/executorch/exir/emit/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit 2025-06-05T23:20:07.4001795Z copying src/executorch/exir/emit/_emit_program.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit 2025-06-05T23:20:07.4002802Z copying src/executorch/exir/emit/_emitter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit 2025-06-05T23:20:07.4003545Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator 2025-06-05T23:20:07.4004269Z copying src/executorch/exir/operator/convert.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator 2025-06-05T23:20:07.4005180Z copying src/executorch/exir/operator/manip.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator 2025-06-05T23:20:07.4006185Z copying src/executorch/exir/operator/util.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator 2025-06-05T23:20:07.4006904Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-06-05T23:20:07.4007601Z copying src/executorch/exir/passes/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-06-05T23:20:07.4008548Z copying src/executorch/exir/passes/_quant_patterns_and_replacements.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-06-05T23:20:07.4009699Z copying src/executorch/exir/passes/const_prop_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-06-05T23:20:07.4010700Z copying src/executorch/exir/passes/constant_prop_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-06-05T23:20:07.4011775Z copying src/executorch/exir/passes/debug_handle_generator_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-06-05T23:20:07.4013073Z copying src/executorch/exir/passes/dim_order_ops_registry.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-06-05T23:20:07.4014074Z copying src/executorch/exir/passes/dynamic_shape_prop_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-06-05T23:20:07.4015120Z copying src/executorch/exir/passes/executorch_prim_ops_registry.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-06-05T23:20:07.4016165Z copying src/executorch/exir/passes/external_constants_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-06-05T23:20:07.4017140Z copying src/executorch/exir/passes/init_mutable_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-06-05T23:20:07.4018304Z copying src/executorch/exir/passes/insert_write_back_for_buffers_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-06-05T23:20:07.4019338Z copying src/executorch/exir/passes/memory_format_ops_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-06-05T23:20:07.4020394Z copying src/executorch/exir/passes/memory_planning_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-06-05T23:20:07.4021616Z copying src/executorch/exir/passes/normalize_transpose_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-06-05T23:20:07.4022699Z copying src/executorch/exir/passes/normalize_view_copy_base_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-06-05T23:20:07.4023691Z copying src/executorch/exir/passes/pass_registry.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-06-05T23:20:07.4024782Z copying src/executorch/exir/passes/prune_empty_tensors_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-06-05T23:20:07.4025822Z copying src/executorch/exir/passes/quant_fusion_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-06-05T23:20:07.4026845Z copying src/executorch/exir/passes/quantize_io_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-06-05T23:20:07.4028011Z copying src/executorch/exir/passes/remove_graph_asserts_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-06-05T23:20:07.4029052Z copying src/executorch/exir/passes/remove_mixed_type_operators.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-06-05T23:20:07.4030048Z copying src/executorch/exir/passes/remove_noop_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-06-05T23:20:07.4031259Z copying src/executorch/exir/passes/remove_unused_parameters_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-06-05T23:20:07.4507347Z copying src/executorch/exir/passes/replace_aten_with_edge_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-06-05T23:20:07.4508624Z copying src/executorch/exir/passes/replace_broken_ops_with_function_ops_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-06-05T23:20:07.4510068Z copying src/executorch/exir/passes/replace_edge_with_backend_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-06-05T23:20:07.4511275Z copying src/executorch/exir/passes/replace_sym_size_op_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-06-05T23:20:07.4512325Z copying src/executorch/exir/passes/replace_view_copy_with_view_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-06-05T23:20:07.4513357Z copying src/executorch/exir/passes/scalar_to_tensor_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-06-05T23:20:07.4514330Z copying src/executorch/exir/passes/spec_prop_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-06-05T23:20:07.4515270Z copying src/executorch/exir/passes/sym_shape_eval_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-06-05T23:20:07.4516505Z copying src/executorch/exir/passes/sym_to_tensor_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-06-05T23:20:07.4517544Z copying src/executorch/exir/passes/weights_to_outputs_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-06-05T23:20:07.4518320Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program 2025-06-05T23:20:07.4519037Z copying src/executorch/exir/program/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program 2025-06-05T23:20:07.4519932Z copying src/executorch/exir/program/_fake_program.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program 2025-06-05T23:20:07.4520843Z copying src/executorch/exir/program/_program.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program 2025-06-05T23:20:07.4521553Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde 2025-06-05T23:20:07.4522230Z copying src/executorch/exir/serde/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde 2025-06-05T23:20:07.4523252Z copying src/executorch/exir/serde/export_serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde 2025-06-05T23:20:07.4524137Z copying src/executorch/exir/serde/schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde 2025-06-05T23:20:07.4525064Z copying src/executorch/exir/serde/schema_check.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde 2025-06-05T23:20:07.4525953Z copying src/executorch/exir/serde/serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde 2025-06-05T23:20:07.4526800Z copying src/executorch/exir/serde/union.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde 2025-06-05T23:20:07.4527482Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-06-05T23:20:07.4528161Z copying src/executorch/exir/tests/asr_joiner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-06-05T23:20:07.4529026Z copying src/executorch/exir/tests/common.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-06-05T23:20:07.4530065Z copying src/executorch/exir/tests/control_flow_models.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-06-05T23:20:07.4531022Z copying src/executorch/exir/tests/dynamic_shape_models.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-06-05T23:20:07.4531929Z copying src/executorch/exir/tests/models.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-06-05T23:20:07.4532808Z copying src/executorch/exir/tests/test_arg_validator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-06-05T23:20:07.4533787Z copying src/executorch/exir/tests/test_capture.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-06-05T23:20:07.4534893Z copying src/executorch/exir/tests/test_common.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-06-05T23:20:07.4535773Z copying src/executorch/exir/tests/test_delegate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-06-05T23:20:07.4536795Z copying src/executorch/exir/tests/test_dim_order_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-06-05T23:20:07.4537785Z copying src/executorch/exir/tests/test_dynamic_shape_propagation.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-06-05T23:20:07.4538749Z copying src/executorch/exir/tests/test_error.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-06-05T23:20:07.4539638Z copying src/executorch/exir/tests/test_joint_graph.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-06-05T23:20:07.4540707Z copying src/executorch/exir/tests/test_memory_format_ops_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-06-05T23:20:07.4541728Z copying src/executorch/exir/tests/test_memory_format_ops_pass_aten.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-06-05T23:20:07.4542922Z copying src/executorch/exir/tests/test_memory_format_ops_pass_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-06-05T23:20:07.4543917Z copying src/executorch/exir/tests/test_memory_planning.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-06-05T23:20:07.4544854Z copying src/executorch/exir/tests/test_op_convert.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-06-05T23:20:07.4545757Z copying src/executorch/exir/tests/test_pass_infra.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-06-05T23:20:07.4546631Z copying src/executorch/exir/tests/test_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-06-05T23:20:07.4547664Z copying src/executorch/exir/tests/test_print_program.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-06-05T23:20:07.4548657Z copying src/executorch/exir/tests/test_prune_empty_tensors_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-06-05T23:20:07.4549683Z copying src/executorch/exir/tests/test_quant_fusion_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-06-05T23:20:07.4550631Z copying src/executorch/exir/tests/test_quantization.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-06-05T23:20:07.4551663Z copying src/executorch/exir/tests/test_quantize_io_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-06-05T23:20:07.4552676Z copying src/executorch/exir/tests/test_remove_unused_parameters_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-06-05T23:20:07.4553690Z copying src/executorch/exir/tests/test_remove_view_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-06-05T23:20:07.4554591Z copying src/executorch/exir/tests/test_serde.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-06-05T23:20:07.4555469Z copying src/executorch/exir/tests/test_tensor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-06-05T23:20:07.4556330Z copying src/executorch/exir/tests/test_tracer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-06-05T23:20:07.4557239Z copying src/executorch/exir/tests/test_verification.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-06-05T23:20:07.4558157Z copying src/executorch/exir/tests/test_warnings.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-06-05T23:20:07.4559040Z copying src/executorch/exir/tests/transformer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-06-05T23:20:07.4559909Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification 2025-06-05T23:20:07.4560707Z copying src/executorch/exir/verification/arg_validator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification 2025-06-05T23:20:07.4561776Z copying src/executorch/exir/verification/dev_html.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification 2025-06-05T23:20:07.4562883Z copying src/executorch/exir/verification/interpreter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification 2025-06-05T23:20:07.4563907Z copying src/executorch/exir/verification/verifier.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification 2025-06-05T23:20:07.4564711Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test 2025-06-05T23:20:07.4565492Z copying src/executorch/exir/_serialize/test/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test 2025-06-05T23:20:07.4566488Z copying src/executorch/exir/_serialize/test/test_cord.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test 2025-06-05T23:20:07.4567519Z copying src/executorch/exir/_serialize/test/test_flatbuffer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test 2025-06-05T23:20:07.4568652Z copying src/executorch/exir/_serialize/test/test_named_data_store.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test 2025-06-05T23:20:07.4569860Z copying src/executorch/exir/_serialize/test/test_program.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test 2025-06-05T23:20:07.4570748Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/canonical_partitioners 2025-06-05T23:20:07.4571881Z copying src/executorch/exir/backend/canonical_partitioners/all_node_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/canonical_partitioners 2025-06-05T23:20:07.4948131Z copying src/executorch/exir/backend/canonical_partitioners/config_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/canonical_partitioners 2025-06-05T23:20:07.4950597Z copying src/executorch/exir/backend/canonical_partitioners/duplicate_constant_node_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/canonical_partitioners 2025-06-05T23:20:07.4952815Z copying src/executorch/exir/backend/canonical_partitioners/duplicate_dequant_node_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/canonical_partitioners 2025-06-05T23:20:07.4954576Z copying src/executorch/exir/backend/canonical_partitioners/pattern_op_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/canonical_partitioners 2025-06-05T23:20:07.4955606Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test 2025-06-05T23:20:07.4956465Z copying src/executorch/exir/backend/test/backend_with_compiler_demo.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test 2025-06-05T23:20:07.4958067Z copying src/executorch/exir/backend/test/backend_with_delegate_mapping_demo.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test 2025-06-05T23:20:07.4960154Z copying src/executorch/exir/backend/test/backend_with_named_data_map.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test 2025-06-05T23:20:07.4962245Z copying src/executorch/exir/backend/test/backend_with_preprocess_all_demo.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test 2025-06-05T23:20:07.4963917Z copying src/executorch/exir/backend/test/hta_partitioner_demo.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test 2025-06-05T23:20:07.4965364Z copying src/executorch/exir/backend/test/op_partitioner_demo.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test 2025-06-05T23:20:07.4966431Z copying src/executorch/exir/backend/test/qnn_backend_demo.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test 2025-06-05T23:20:07.4967926Z copying src/executorch/exir/backend/test/test_backend_with_named_data_map.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test 2025-06-05T23:20:07.4969935Z copying src/executorch/exir/backend/test/test_backends.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test 2025-06-05T23:20:07.4971985Z copying src/executorch/exir/backend/test/test_backends_lifted.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test 2025-06-05T23:20:07.4974552Z copying src/executorch/exir/backend/test/test_backends_nested.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test 2025-06-05T23:20:07.4976483Z copying src/executorch/exir/backend/test/test_compatibility.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test 2025-06-05T23:20:07.4978265Z copying src/executorch/exir/backend/test/test_debug_handle_map.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test 2025-06-05T23:20:07.4979519Z copying src/executorch/exir/backend/test/test_delegate_map_builder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test 2025-06-05T23:20:07.4980750Z copying src/executorch/exir/backend/test/test_graph_partition.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test 2025-06-05T23:20:07.4982095Z copying src/executorch/exir/backend/test/test_lowered_backend_module.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test 2025-06-05T23:20:07.4983607Z copying src/executorch/exir/backend/test/test_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test 2025-06-05T23:20:07.4985446Z copying src/executorch/exir/backend/test/test_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test 2025-06-05T23:20:07.4986693Z copying src/executorch/exir/backend/test/test_to_backend_multi_method.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test 2025-06-05T23:20:07.4987936Z copying src/executorch/exir/backend/test/test_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test 2025-06-05T23:20:07.4988740Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos 2025-06-05T23:20:07.4989672Z copying src/executorch/exir/backend/test/demos/test_delegate_aten_mode.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos 2025-06-05T23:20:07.4991254Z copying src/executorch/exir/backend/test/demos/test_xnnpack_qnnpack.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos 2025-06-05T23:20:07.4992891Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos/rpc 2025-06-05T23:20:07.4994641Z copying src/executorch/exir/backend/test/demos/rpc/executor_backend_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos/rpc 2025-06-05T23:20:07.4997152Z copying src/executorch/exir/backend/test/demos/rpc/executor_backend_preprocess.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos/rpc 2025-06-05T23:20:07.4999510Z copying src/executorch/exir/backend/test/demos/rpc/test_rpc.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos/rpc 2025-06-05T23:20:07.5001062Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/backend 2025-06-05T23:20:07.5001908Z copying src/executorch/exir/dialects/backend/_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/backend 2025-06-05T23:20:07.5002720Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge 2025-06-05T23:20:07.5003478Z copying src/executorch/exir/dialects/edge/_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge 2025-06-05T23:20:07.5004241Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/test 2025-06-05T23:20:07.5005079Z copying src/executorch/exir/dialects/test/test_exir_dialect_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/test 2025-06-05T23:20:07.5006292Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/backend/test 2025-06-05T23:20:07.5007948Z copying src/executorch/exir/dialects/backend/test/test_backend_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/backend/test 2025-06-05T23:20:07.5009067Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/arg 2025-06-05T23:20:07.5010073Z copying src/executorch/exir/dialects/edge/arg/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/arg 2025-06-05T23:20:07.5011126Z copying src/executorch/exir/dialects/edge/arg/type.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/arg 2025-06-05T23:20:07.5011970Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/dtype 2025-06-05T23:20:07.5012852Z copying src/executorch/exir/dialects/edge/dtype/runner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/dtype 2025-06-05T23:20:07.5014832Z copying src/executorch/exir/dialects/edge/dtype/supported.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/dtype 2025-06-05T23:20:07.5016373Z copying src/executorch/exir/dialects/edge/dtype/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/dtype 2025-06-05T23:20:07.5017371Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/op 2025-06-05T23:20:07.5018184Z copying src/executorch/exir/dialects/edge/op/api.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/op 2025-06-05T23:20:07.5019262Z copying src/executorch/exir/dialects/edge/op/sample_input.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/op 2025-06-05T23:20:07.5020454Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/spec 2025-06-05T23:20:07.5021950Z copying src/executorch/exir/dialects/edge/spec/gen.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/spec 2025-06-05T23:20:07.5024019Z copying src/executorch/exir/dialects/edge/spec/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/spec 2025-06-05T23:20:07.5025617Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/test 2025-06-05T23:20:07.5027132Z copying src/executorch/exir/dialects/edge/test/test_edge_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/test 2025-06-05T23:20:07.5028967Z copying src/executorch/exir/dialects/edge/test/test_edge_yaml.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/test 2025-06-05T23:20:07.5029884Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/op/test 2025-06-05T23:20:07.5030935Z copying src/executorch/exir/dialects/edge/op/test/test_api.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/op/test 2025-06-05T23:20:07.5031792Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit/test 2025-06-05T23:20:07.5032547Z copying src/executorch/exir/emit/test/test_emit.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit/test 2025-06-05T23:20:07.5033297Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator/test 2025-06-05T23:20:07.5034494Z copying src/executorch/exir/operator/test/test_operator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator/test 2025-06-05T23:20:07.5035973Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program/test 2025-06-05T23:20:07.5037273Z copying src/executorch/exir/program/test/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program/test 2025-06-05T23:20:07.5369177Z copying src/executorch/exir/program/test/test_fake_program.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program/test 2025-06-05T23:20:07.5370505Z copying src/executorch/exir/program/test/test_program.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program/test 2025-06-05T23:20:07.5371512Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification/test 2025-06-05T23:20:07.5372522Z copying src/executorch/exir/verification/test/test_verifier.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification/test 2025-06-05T23:20:07.5373777Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/export_util 2025-06-05T23:20:07.5374622Z copying src/executorch/extension/export_util/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/export_util 2025-06-05T23:20:07.5376078Z copying src/executorch/extension/export_util/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/export_util 2025-06-05T23:20:07.5376994Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor 2025-06-05T23:20:07.5377942Z copying src/executorch/extension/flat_tensor/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor 2025-06-05T23:20:07.5378730Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/gguf_util 2025-06-05T23:20:07.5379548Z copying src/executorch/extension/gguf_util/convert_main.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/gguf_util 2025-06-05T23:20:07.5380609Z copying src/executorch/extension/gguf_util/converter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/gguf_util 2025-06-05T23:20:07.5381955Z copying src/executorch/extension/gguf_util/load_gguf.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/gguf_util 2025-06-05T23:20:07.5382900Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings 2025-06-05T23:20:07.5383759Z copying src/executorch/extension/pybindings/portable_lib.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings 2025-06-05T23:20:07.5384600Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pytree 2025-06-05T23:20:07.5385367Z copying src/executorch/extension/pytree/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pytree 2025-06-05T23:20:07.5386117Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training 2025-06-05T23:20:07.5386899Z copying src/executorch/extension/training/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training 2025-06-05T23:20:07.5387722Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/serialize 2025-06-05T23:20:07.5388666Z copying src/executorch/extension/flat_tensor/serialize/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/serialize 2025-06-05T23:20:07.5389917Z copying src/executorch/extension/flat_tensor/serialize/flat_tensor_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/serialize 2025-06-05T23:20:07.5391259Z copying src/executorch/extension/flat_tensor/serialize/serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/serialize 2025-06-05T23:20:07.5392242Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/test 2025-06-05T23:20:07.5393390Z copying src/executorch/extension/flat_tensor/test/test_serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/test 2025-06-05T23:20:07.5394480Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/gguf_util/converters 2025-06-05T23:20:07.5395465Z copying src/executorch/extension/gguf_util/converters/llama_converter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/gguf_util/converters 2025-06-05T23:20:07.5396555Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops 2025-06-05T23:20:07.5397453Z copying src/executorch/extension/llm/custom_ops/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops 2025-06-05T23:20:07.5398620Z copying src/executorch/extension/llm/custom_ops/custom_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops 2025-06-05T23:20:07.5399936Z copying src/executorch/extension/llm/custom_ops/model_sharding.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops 2025-06-05T23:20:07.5401090Z copying src/executorch/extension/llm/custom_ops/op_tile_crop_aot.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops 2025-06-05T23:20:07.5402277Z copying src/executorch/extension/llm/custom_ops/preprocess_custom_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops 2025-06-05T23:20:07.5402961Z copying src/executorch/extension/llm/custom_ops/test_preprocess_custom_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops 2025-06-05T23:20:07.5403563Z copying src/executorch/extension/llm/custom_ops/test_quantized_sdpa.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops 2025-06-05T23:20:07.5404179Z copying src/executorch/extension/llm/custom_ops/test_sdpa_with_kv_cache.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops 2025-06-05T23:20:07.5404702Z copying src/executorch/extension/llm/custom_ops/test_update_cache.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops 2025-06-05T23:20:07.5404972Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export 2025-06-05T23:20:07.5405728Z copying src/executorch/extension/llm/export/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export 2025-06-05T23:20:07.5406295Z copying src/executorch/extension/llm/export/builder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export 2025-06-05T23:20:07.5406788Z copying src/executorch/extension/llm/export/export_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export 2025-06-05T23:20:07.5407312Z copying src/executorch/extension/llm/export/partitioner_lib.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export 2025-06-05T23:20:07.5407804Z copying src/executorch/extension/llm/export/quantizer_lib.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export 2025-06-05T23:20:07.5408308Z copying src/executorch/extension/llm/export/test_export_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export 2025-06-05T23:20:07.5408564Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules 2025-06-05T23:20:07.5409027Z copying src/executorch/extension/llm/modules/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules 2025-06-05T23:20:07.5409551Z copying src/executorch/extension/llm/modules/_position_embeddings.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules 2025-06-05T23:20:07.5410054Z copying src/executorch/extension/llm/modules/attention.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules 2025-06-05T23:20:07.5410525Z copying src/executorch/extension/llm/modules/kv_cache.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules 2025-06-05T23:20:07.5410779Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers 2025-06-05T23:20:07.5411287Z copying src/executorch/extension/llm/tokenizers/setup.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers 2025-06-05T23:20:07.5411589Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops/spinquant 2025-06-05T23:20:07.5412334Z copying src/executorch/extension/llm/custom_ops/spinquant/special_hadamard_code_gen.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops/spinquant 2025-06-05T23:20:07.5412799Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops/spinquant/third-party/FFHT 2025-06-05T23:20:07.5413557Z copying src/executorch/extension/llm/custom_ops/spinquant/third-party/FFHT/example.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops/spinquant/third-party/FFHT 2025-06-05T23:20:07.5414287Z copying src/executorch/extension/llm/custom_ops/spinquant/third-party/FFHT/gen.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops/spinquant/third-party/FFHT 2025-06-05T23:20:07.5414562Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export/test 2025-06-05T23:20:07.5415064Z copying src/executorch/extension/llm/export/test/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export/test 2025-06-05T23:20:07.5415677Z copying src/executorch/extension/llm/export/test/test_builder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export/test 2025-06-05T23:20:07.5415953Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules/test 2025-06-05T23:20:07.5416463Z copying src/executorch/extension/llm/modules/test/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules/test 2025-06-05T23:20:07.5417019Z copying src/executorch/extension/llm/modules/test/test_attention.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules/test 2025-06-05T23:20:07.5417576Z copying src/executorch/extension/llm/modules/test/test_kv_cache.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules/test 2025-06-05T23:20:07.5418178Z copying src/executorch/extension/llm/modules/test/test_position_embeddings.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules/test 2025-06-05T23:20:07.5757837Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers 2025-06-05T23:20:07.5759055Z copying src/executorch/extension/llm/tokenizers/pytorch_tokenizers/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers 2025-06-05T23:20:07.5760557Z copying src/executorch/extension/llm/tokenizers/pytorch_tokenizers/constants.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers 2025-06-05T23:20:07.5762075Z copying src/executorch/extension/llm/tokenizers/pytorch_tokenizers/hf_tokenizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers 2025-06-05T23:20:07.5763727Z copying src/executorch/extension/llm/tokenizers/pytorch_tokenizers/llama2c.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers 2025-06-05T23:20:07.5765289Z copying src/executorch/extension/llm/tokenizers/pytorch_tokenizers/tiktoken.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers 2025-06-05T23:20:07.5766483Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/test 2025-06-05T23:20:07.5767453Z copying src/executorch/extension/llm/tokenizers/test/test_tiktoken.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/test 2025-06-05T23:20:07.5768532Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools 2025-06-05T23:20:07.5769754Z copying src/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools 2025-06-05T23:20:07.5771025Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c 2025-06-05T23:20:07.5772511Z copying src/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c 2025-06-05T23:20:07.5774552Z copying src/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c/convert.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c 2025-06-05T23:20:07.5775968Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/abseil-cpp 2025-06-05T23:20:07.5777200Z copying src/executorch/extension/llm/tokenizers/third-party/abseil-cpp/conanfile.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/abseil-cpp 2025-06-05T23:20:07.5778808Z copying src/executorch/extension/llm/tokenizers/third-party/abseil-cpp/create_lts.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/abseil-cpp 2025-06-05T23:20:07.5780200Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl 2025-06-05T23:20:07.5781789Z copying src/executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/abseil.podspec.gen.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl 2025-06-05T23:20:07.5783192Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/copts 2025-06-05T23:20:07.5784890Z copying src/executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/copts/copts.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/copts 2025-06-05T23:20:07.5786753Z copying src/executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/copts/generate_copts.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/copts 2025-06-05T23:20:07.5788166Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/docs/mkdocs/scripts 2025-06-05T23:20:07.5789911Z copying src/executorch/extension/llm/tokenizers/third-party/json/docs/mkdocs/scripts/check_structure.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/docs/mkdocs/scripts 2025-06-05T23:20:07.5791502Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/tests/thirdparty/imapdl 2025-06-05T23:20:07.5793002Z copying src/executorch/extension/llm/tokenizers/third-party/json/tests/thirdparty/imapdl/filterbr.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/tests/thirdparty/imapdl 2025-06-05T23:20:07.5794475Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/tools/amalgamate 2025-06-05T23:20:07.5796122Z copying src/executorch/extension/llm/tokenizers/third-party/json/tools/amalgamate/amalgamate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/tools/amalgamate 2025-06-05T23:20:07.5797759Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/tools/gdb_pretty_printer 2025-06-05T23:20:07.5799307Z copying src/executorch/extension/llm/tokenizers/third-party/json/tools/gdb_pretty_printer/nlohmann-json.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/tools/gdb_pretty_printer 2025-06-05T23:20:07.5800800Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/tools/generate_natvis 2025-06-05T23:20:07.5802271Z copying src/executorch/extension/llm/tokenizers/third-party/json/tools/generate_natvis/generate_natvis.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/tools/generate_natvis 2025-06-05T23:20:07.5803866Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/tools/serve_header 2025-06-05T23:20:07.5805277Z copying src/executorch/extension/llm/tokenizers/third-party/json/tools/serve_header/serve_header.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/tools/serve_header 2025-06-05T23:20:07.5806637Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/pcre2/maint 2025-06-05T23:20:07.5808003Z copying src/executorch/extension/llm/tokenizers/third-party/pcre2/maint/GenerateCommon.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/pcre2/maint 2025-06-05T23:20:07.5809946Z copying src/executorch/extension/llm/tokenizers/third-party/pcre2/maint/GenerateTest.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/pcre2/maint 2025-06-05T23:20:07.5811779Z copying src/executorch/extension/llm/tokenizers/third-party/pcre2/maint/GenerateUcd.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/pcre2/maint 2025-06-05T23:20:07.5813860Z copying src/executorch/extension/llm/tokenizers/third-party/pcre2/maint/GenerateUcpHeader.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/pcre2/maint 2025-06-05T23:20:07.5815604Z copying src/executorch/extension/llm/tokenizers/third-party/pcre2/maint/GenerateUcpTables.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/pcre2/maint 2025-06-05T23:20:07.5817307Z copying src/executorch/extension/llm/tokenizers/third-party/pcre2/maint/UpdateCommon.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/pcre2/maint 2025-06-05T23:20:07.5818972Z copying src/executorch/extension/llm/tokenizers/third-party/pcre2/maint/UpdateDates.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/pcre2/maint 2025-06-05T23:20:07.5820629Z copying src/executorch/extension/llm/tokenizers/third-party/pcre2/maint/UpdateRelease.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/pcre2/maint 2025-06-05T23:20:07.5822060Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/benchlog 2025-06-05T23:20:07.5823328Z copying src/executorch/extension/llm/tokenizers/third-party/re2/benchlog/benchplot.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/benchlog 2025-06-05T23:20:07.5824688Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/python 2025-06-05T23:20:07.5825886Z copying src/executorch/extension/llm/tokenizers/third-party/re2/python/re2.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/python 2025-06-05T23:20:07.5827419Z copying src/executorch/extension/llm/tokenizers/third-party/re2/python/re2_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/python 2025-06-05T23:20:07.5829238Z copying src/executorch/extension/llm/tokenizers/third-party/re2/python/setup.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/python 2025-06-05T23:20:07.5830523Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/re2 2025-06-05T23:20:08.2706844Z copying src/executorch/extension/llm/tokenizers/third-party/re2/re2/make_unicode_casefold.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/re2 2025-06-05T23:20:08.2708498Z copying src/executorch/extension/llm/tokenizers/third-party/re2/re2/make_unicode_groups.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/re2 2025-06-05T23:20:08.2710073Z copying src/executorch/extension/llm/tokenizers/third-party/re2/re2/unicode.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/re2 2025-06-05T23:20:08.2711417Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/python/toolchains 2025-06-05T23:20:08.2712862Z copying src/executorch/extension/llm/tokenizers/third-party/re2/python/toolchains/generate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/python/toolchains 2025-06-05T23:20:08.2714300Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/sentencepiece/python 2025-06-05T23:20:08.2715756Z copying src/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/setup.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/sentencepiece/python 2025-06-05T23:20:08.2717149Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/test 2025-06-05T23:20:08.2718582Z copying src/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/test/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/test 2025-06-05T23:20:08.2720866Z copying src/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/test/sentencepiece_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/test 2025-06-05T23:20:08.2722426Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece 2025-06-05T23:20:08.2724080Z copying src/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece 2025-06-05T23:20:08.2726498Z copying src/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece/_version.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece 2025-06-05T23:20:08.2728871Z copying src/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece/sentencepiece_model_pb2.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece 2025-06-05T23:20:08.2731170Z copying src/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece/sentencepiece_pb2.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece 2025-06-05T23:20:08.2732781Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers 2025-06-05T23:20:08.2734107Z copying src/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers 2025-06-05T23:20:08.2735814Z copying src/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/constants.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers 2025-06-05T23:20:08.2737564Z copying src/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/hf_tokenizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers 2025-06-05T23:20:08.2739297Z copying src/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/llama2c.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers 2025-06-05T23:20:08.2741004Z copying src/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/tiktoken.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers 2025-06-05T23:20:08.2742362Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/tools 2025-06-05T23:20:08.2743753Z copying src/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/tools/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/tools 2025-06-05T23:20:08.2745277Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/tools/llama2c 2025-06-05T23:20:08.2746791Z copying src/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/tools/llama2c/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/tools/llama2c 2025-06-05T23:20:08.2748772Z copying src/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/tools/llama2c/convert.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/tools/llama2c 2025-06-05T23:20:08.2750095Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/module/test/resources 2025-06-05T23:20:08.2751230Z copying src/executorch/extension/module/test/resources/gen_bundled_program.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/module/test/resources 2025-06-05T23:20:08.2752361Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings/test 2025-06-05T23:20:08.2753329Z copying src/executorch/extension/pybindings/test/make_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings/test 2025-06-05T23:20:08.2754578Z copying src/executorch/extension/pybindings/test/test_backend_pybinding.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings/test 2025-06-05T23:20:08.2755906Z copying src/executorch/extension/pybindings/test/test_pybindings.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings/test 2025-06-05T23:20:08.2757062Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pytree/test 2025-06-05T23:20:08.2757890Z copying src/executorch/extension/pytree/test/test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pytree/test 2025-06-05T23:20:08.2758840Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/pybindings 2025-06-05T23:20:08.2759842Z copying src/executorch/extension/training/pybindings/_training_module.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/pybindings 2025-06-05T23:20:08.2760827Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/examples/XOR 2025-06-05T23:20:08.2761838Z copying src/executorch/extension/training/examples/XOR/export_model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/examples/XOR 2025-06-05T23:20:08.2763201Z copying src/executorch/extension/training/examples/XOR/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/examples/XOR 2025-06-05T23:20:08.2764184Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/examples/XOR/test 2025-06-05T23:20:08.2765251Z copying src/executorch/extension/training/examples/XOR/test/test_export.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/examples/XOR/test 2025-06-05T23:20:08.2766326Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/pybindings/test 2025-06-05T23:20:08.2767337Z copying src/executorch/extension/training/pybindings/test/test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/pybindings/test 2025-06-05T23:20:08.2768277Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/kernels/quantized 2025-06-05T23:20:08.2769040Z copying src/executorch/kernels/quantized/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/kernels/quantized 2025-06-05T23:20:08.2769833Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/kernels/quantized/test 2025-06-05T23:20:08.2770725Z copying src/executorch/kernels/quantized/test/test_out_variants.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/kernels/quantized/test 2025-06-05T23:20:08.2771912Z copying src/executorch/kernels/quantized/test/test_quant_dequant_per_token.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/kernels/quantized/test 2025-06-05T23:20:08.2773061Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/runtime/test 2025-06-05T23:20:08.2773793Z copying src/executorch/runtime/test/test_runtime.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/runtime/test 2025-06-05T23:20:08.2774406Z running egg_info 2025-06-05T23:20:08.2774640Z creating executorch.egg-info 2025-06-05T23:20:08.2774942Z writing executorch.egg-info/PKG-INFO 2025-06-05T23:20:08.2775376Z writing dependency_links to executorch.egg-info/dependency_links.txt 2025-06-05T23:20:08.2775882Z writing entry points to executorch.egg-info/entry_points.txt 2025-06-05T23:20:08.2776351Z writing requirements to executorch.egg-info/requires.txt 2025-06-05T23:20:08.2776805Z writing top-level names to executorch.egg-info/top_level.txt 2025-06-05T23:20:08.2777268Z writing manifest file 'executorch.egg-info/SOURCES.txt' 2025-06-05T23:20:08.8681790Z reading manifest file 'executorch.egg-info/SOURCES.txt' 2025-06-05T23:20:08.8682209Z adding license file 'LICENSE' 2025-06-05T23:20:08.8682564Z writing manifest file 'executorch.egg-info/SOURCES.txt' 2025-06-05T23:20:08.8683463Z copying src/executorch/exir/delegate.pyi -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir 2025-06-05T23:20:08.8684125Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/schema 2025-06-05T23:20:08.8684761Z copying src/executorch/schema/program.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/schema 2025-06-05T23:20:08.8685577Z copying src/executorch/schema/scalar_type.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/schema 2025-06-05T23:20:08.8686596Z copying src/executorch/backends/apple/coreml/executorchcoreml.pyi -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml 2025-06-05T23:20:08.8687904Z copying src/executorch/backends/apple/mps/serialization/schema.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/serialization 2025-06-05T23:20:08.8689365Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/schema 2025-06-05T23:20:08.8690582Z copying src/executorch/backends/arm/third-party/serialization_lib/schema/tosa.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/schema 2025-06-05T23:20:08.8692348Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/pnpm-lock.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers 2025-06-05T23:20:08.8693961Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart 2025-06-05T23:20:08.8696519Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/analysis_options.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart 2025-06-05T23:20:08.8699133Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/pubspec.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart 2025-06-05T23:20:08.8701185Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/py.typed -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python 2025-06-05T23:20:08.8703182Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/reflection 2025-06-05T23:20:08.8705706Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/reflection/reflection.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/reflection 2025-06-05T23:20:08.8707871Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/samples/monster.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/samples 2025-06-05T23:20:08.8710024Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts/check-grpc-generated-code.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts 2025-06-05T23:20:08.8712918Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/snap 2025-06-05T23:20:08.8715593Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/snap/snapcraft.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/snap 2025-06-05T23:20:08.8717856Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MutatingBool.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T23:20:08.8720089Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/alignment_test.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T23:20:08.8722837Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/arrays_test.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T23:20:08.8726375Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/dictionary_lookup.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T23:20:08.8728674Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/included_test.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T23:20:08.8730749Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/includer_test.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T23:20:08.8734169Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/keyword_test.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T23:20:08.8736969Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/monster_extra.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T23:20:08.8739040Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/monster_test.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T23:20:08.8741249Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/more_defaults.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T23:20:08.8744231Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nan_inf_test.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T23:20:08.8746315Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/native_inline_table_test.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T23:20:08.8748444Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/native_type_test.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T23:20:08.8751712Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nested_union_test.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T23:20:08.8753804Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/optional_scalars.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T23:20:08.8755916Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/private_annotation_test.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T23:20:08.8759149Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/required_strings.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T23:20:08.8762350Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/rust_namer_test.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T23:20:08.8764382Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/test.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T23:20:08.8898824Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/type_field_collsion.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T23:20:08.8901250Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/union_underlying_type_test.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T23:20:08.8904661Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/union_value_collision.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T23:20:08.8907882Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/vector_has_test.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T23:20:08.8909625Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/android/app/src/main/fbs 2025-06-05T23:20:08.8912258Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/android/app/src/main/fbs/animal.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/android/app/src/main/fbs 2025-06-05T23:20:08.8915504Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/benchmarks/cpp/flatbuffers 2025-06-05T23:20:08.8917516Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/benchmarks/cpp/flatbuffers/bench.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/benchmarks/cpp/flatbuffers 2025-06-05T23:20:08.8919324Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/test 2025-06-05T23:20:08.8922098Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/test/bool_structs.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/test 2025-06-05T23:20:08.8924389Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/test/list_of_enums.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/test 2025-06-05T23:20:08.8926524Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/test/monster_test.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/test 2025-06-05T23:20:08.8929110Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/examples/go-echo 2025-06-05T23:20:08.8931389Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/examples/go-echo/hero.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/examples/go-echo 2025-06-05T23:20:08.8933602Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/examples/go-echo/net.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/examples/go-echo 2025-06-05T23:20:08.8935356Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/schema 2025-06-05T23:20:08.8938132Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/schema/basic.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/schema 2025-06-05T23:20:08.8940612Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/greeter.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples 2025-06-05T23:20:08.8942311Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/samples/greeter 2025-06-05T23:20:08.8944759Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/samples/greeter/greeter.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/samples/greeter 2025-06-05T23:20:08.8947204Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/union_vector 2025-06-05T23:20:08.8949153Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/union_vector/union_vector.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/union_vector 2025-06-05T23:20:08.8951093Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/64bit 2025-06-05T23:20:08.8953641Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/64bit/test_64bit.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/64bit 2025-06-05T23:20:08.8956327Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/annotated_binary/annotated_binary.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/annotated_binary 2025-06-05T23:20:08.8958792Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/annotated_binary/annotated_binary_old.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/annotated_binary 2025-06-05T23:20:08.8961201Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/evolution_test 2025-06-05T23:20:08.8964518Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/evolution_test/evolution_v1.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/evolution_test 2025-06-05T23:20:08.8967004Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/evolution_test/evolution_v2.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/evolution_test 2025-06-05T23:20:08.8969456Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/enum_val_attributes.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc 2025-06-05T23:20:08.8973042Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/foo.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc 2025-06-05T23:20:08.8975267Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/foo_with_ns.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc 2025-06-05T23:20:08.8976946Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test 2025-06-05T23:20:08.8979788Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test/include_test1.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test 2025-06-05T23:20:08.8982476Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test/order.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test 2025-06-05T23:20:08.8984192Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/key_field 2025-06-05T23:20:08.9116317Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/key_field/key_field_sample.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/key_field 2025-06-05T23:20:08.9118139Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/minified_enums 2025-06-05T23:20:08.9119898Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/minified_enums/enums.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/minified_enums 2025-06-05T23:20:08.9122633Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test 2025-06-05T23:20:08.9124884Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test/invalid_test1.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test 2025-06-05T23:20:08.9127260Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test/invalid_test2.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test 2025-06-05T23:20:08.9130798Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test/valid_test1.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test 2025-06-05T23:20:08.9133339Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test/valid_test2.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test 2025-06-05T23:20:08.9135904Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/namespace_test1.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test 2025-06-05T23:20:08.9140277Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/namespace_test2.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test 2025-06-05T23:20:08.9142351Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nested_namespace_test 2025-06-05T23:20:08.9144274Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nested_namespace_test/nested_namespace_test1.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nested_namespace_test 2025-06-05T23:20:08.9148127Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nested_namespace_test/nested_namespace_test2.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nested_namespace_test 2025-06-05T23:20:08.9150679Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nested_namespace_test/nested_namespace_test3.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nested_namespace_test 2025-06-05T23:20:08.9152635Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest 2025-06-05T23:20:08.9155658Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test.golden.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest 2025-06-05T23:20:08.9158731Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_id.golden.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest 2025-06-05T23:20:08.9161034Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_include.golden.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest 2025-06-05T23:20:08.9164362Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_include_id.golden.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest 2025-06-05T23:20:08.9166763Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_suffix.golden.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest 2025-06-05T23:20:08.9169094Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_suffix_id.golden.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest 2025-06-05T23:20:08.9172258Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_union.golden.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest 2025-06-05T23:20:08.9176024Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_union_id.golden.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest 2025-06-05T23:20:08.9178563Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_union_include.golden.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest 2025-06-05T23:20:08.9181117Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_union_include_id.golden.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest 2025-06-05T23:20:08.9184478Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_union_suffix.golden.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest 2025-06-05T23:20:08.9186984Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_union_suffix_id.golden.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest 2025-06-05T23:20:08.9189754Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/typescript_keywords.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts 2025-06-05T23:20:08.9193126Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/union_vector 2025-06-05T23:20:08.9195120Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/union_vector/union_vector.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/union_vector 2025-06-05T23:20:08.9196910Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/64bit/evolution 2025-06-05T23:20:08.9199120Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/64bit/evolution/v1.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/64bit/evolution 2025-06-05T23:20:08.9203151Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/64bit/evolution/v2.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/64bit/evolution 2025-06-05T23:20:08.9361895Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar 2025-06-05T23:20:08.9363633Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar/bar.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar 2025-06-05T23:20:08.9365928Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar/bar_with_foo.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar 2025-06-05T23:20:08.9369323Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar/bar_with_ns.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar 2025-06-05T23:20:08.9371066Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar/baz 2025-06-05T23:20:08.9373001Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar/baz/baz.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar/baz 2025-06-05T23:20:08.9376673Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar/baz/baz_with_ns.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar/baz 2025-06-05T23:20:08.9378492Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test/sub 2025-06-05T23:20:08.9380326Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test/sub/include_test2.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test/sub 2025-06-05T23:20:08.9383363Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test/sub/no_namespace.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test/sub 2025-06-05T23:20:08.9385779Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/swift/tests/CodeGenerationTests 2025-06-05T23:20:08.9387843Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/swift/tests/CodeGenerationTests/test_import.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/swift/tests/CodeGenerationTests 2025-06-05T23:20:08.9391458Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/swift/tests/CodeGenerationTests/test_no_include.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/swift/tests/CodeGenerationTests 2025-06-05T23:20:08.9393855Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/swift/tests/Sources/SwiftFlatBuffers 2025-06-05T23:20:08.9395993Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/swift/tests/Sources/SwiftFlatBuffers/fuzzer.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/swift/tests/Sources/SwiftFlatBuffers 2025-06-05T23:20:08.9398463Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/arrays_test_complex 2025-06-05T23:20:08.9401025Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/arrays_test_complex/arrays_test_complex.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/arrays_test_complex 2025-06-05T23:20:08.9402966Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/bazel_repository_test_dir 2025-06-05T23:20:08.9404894Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/bazel_repository_test_dir/one.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/bazel_repository_test_dir 2025-06-05T23:20:08.9408481Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/bazel_repository_test_dir/pnpm-lock.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/bazel_repository_test_dir 2025-06-05T23:20:08.9411128Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/bazel_repository_test_dir/two.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/bazel_repository_test_dir 2025-06-05T23:20:08.9412986Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/test_dir 2025-06-05T23:20:08.9415799Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/test_dir/typescript_include.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/test_dir 2025-06-05T23:20:08.9418203Z copying src/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/test_dir/typescript_transitive_include.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/test_dir 2025-06-05T23:20:08.9419839Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/tosa/schemas 2025-06-05T23:20:08.9420754Z copying src/executorch/backends/arm/tosa/schemas/tosa_0.80.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/tosa/schemas 2025-06-05T23:20:08.9422328Z copying src/executorch/backends/arm/tosa/schemas/tosa_1.0.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/tosa/schemas 2025-06-05T23:20:08.9424091Z copying src/executorch/backends/cadence/aot/functions.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot 2025-06-05T23:20:08.9425238Z copying src/executorch/backends/cadence/aot/functions_fusion_g3.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot 2025-06-05T23:20:08.9426383Z copying src/executorch/backends/cadence/aot/functions_hifi.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot 2025-06-05T23:20:08.9427500Z copying src/executorch/backends/cortex_m/ops/operators.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cortex_m/ops 2025-06-05T23:20:08.9428721Z copying src/executorch/backends/qualcomm/serialization/qc_compiler_spec.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/serialization 2025-06-05T23:20:08.9429817Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/aot/ir 2025-06-05T23:20:08.9431532Z copying src/executorch/backends/qualcomm/aot/ir/qcir.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/aot/ir 2025-06-05T23:20:08.9432906Z copying src/executorch/backends/vulkan/serialization/schema.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/serialization 2025-06-05T23:20:08.9433913Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:08.9435066Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_naive_buffer.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:08.9436613Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_naive_texture3d.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:08.9438610Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_optimized.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:08.9440889Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/arange.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:08.9442358Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/avg_pool2d.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:08.9736213Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/batchnorm.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:08.9737996Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/binary_op.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:08.9739569Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/bitw8_image_to_nchw_nobitw8buffer.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:08.9741956Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/buffer_to_buffer.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:08.9743941Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/buffer_to_nchw.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:08.9745422Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/clone.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:08.9747029Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/conv1d.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:08.9748779Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:08.9751267Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:08.9752790Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_output_tile.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:08.9754347Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_prepack_weights.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:08.9755959Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_sned_output_tile.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:08.9758706Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_prepack_weights.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:08.9760349Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_pw.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:08.9761835Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_pw_s1p0.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:08.9763347Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:08.9765811Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d_prepack_weights.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:08.9767796Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/copy_channel_offset.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:08.9769323Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/copy_offset.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:08.9770822Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/copy_packed_dim_offset.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:08.9772848Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/embedding.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:08.9775472Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/flip.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:08.9776897Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/full.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:08.9778338Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/grid_priors.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:08.9779817Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/image_to_nchw.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:08.9782420Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/index_select.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:08.9784267Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/index_select_channel.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:08.9785796Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/kv_cache_update.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:08.9787274Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/linear_qcsnw.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:08.9789240Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/linear_qcsnw_coop.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:08.9791626Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/linear_qcsnw_tiled.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:08.9793181Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/linear_qga4w_coop.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:08.9794713Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/linear_qga4w_tiled.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:08.9796238Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/max_pool2d.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:08.9798842Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/native_layer_norm.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:08.9800530Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/nchw_to_bitw8_image_nobitw8buffer.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:08.9802102Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/nchw_to_buffer.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:08.9803580Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/nchw_to_image.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:08.9805403Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/no_op.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:08.9807797Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/pack_int4_linear_weight_transposed_interleaved.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:08.9809431Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/pad_channel.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:08.9811063Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/pad_height_width.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:08.9812769Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/permute.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:08.9815219Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/reduce.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:08.9816675Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/repeat.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:08.9818136Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/repeat_channel.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.0096170Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/repeat_interleave.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.0097778Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/rotary_embedding.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.0099375Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/sdpa_attn_weight_scale_and_mask.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.0101999Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/softmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.0103557Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/tan.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.0105036Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/transfer_buffer.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.0106579Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/transfer_texture.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.0108606Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/unary_op.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.0110617Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/upsample_2d.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.0112178Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/var_buffer.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.0113644Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/var_texture3d.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.0115103Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/view.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.0117610Z copying src/executorch/backends/vulkan/runtime/graph/ops/glsl/where.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.0118671Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/glsl 2025-06-05T23:20:09.0119583Z copying src/executorch/backends/vulkan/test/glsl/all_shaders.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/glsl 2025-06-05T23:20:09.0120835Z copying src/executorch/backends/vulkan/test/glsl/dynamic_dispatch_test.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/glsl 2025-06-05T23:20:09.0122145Z copying src/executorch/backends/vulkan/test/glsl/reference_matmul_common.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/glsl 2025-06-05T23:20:09.0123893Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl 2025-06-05T23:20:09.0125493Z copying src/executorch/backends/vulkan/tools/gpuinfo/glsl/buf_bandwidth.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl 2025-06-05T23:20:09.0126921Z copying src/executorch/backends/vulkan/tools/gpuinfo/glsl/buf_cacheline_size.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl 2025-06-05T23:20:09.0128328Z copying src/executorch/backends/vulkan/tools/gpuinfo/glsl/reg_count.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl 2025-06-05T23:20:09.0129723Z copying src/executorch/backends/vulkan/tools/gpuinfo/glsl/tex_bandwidth.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl 2025-06-05T23:20:09.0132434Z copying src/executorch/backends/vulkan/tools/gpuinfo/glsl/tex_cacheline_concurr.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl 2025-06-05T23:20:09.0133884Z copying src/executorch/backends/vulkan/tools/gpuinfo/glsl/warp_size.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl 2025-06-05T23:20:09.0135237Z copying src/executorch/backends/xnnpack/serialization/runtime_schema.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/serialization 2025-06-05T23:20:09.0136546Z copying src/executorch/backends/xnnpack/serialization/schema.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/serialization 2025-06-05T23:20:09.0138457Z copying src/executorch/backends/xnnpack/third-party/generate-cpuinfo-wrappers.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party 2025-06-05T23:20:09.0140560Z copying src/executorch/backends/xnnpack/third-party/FP16/confu.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FP16 2025-06-05T23:20:09.0142004Z copying src/executorch/backends/xnnpack/third-party/FXdiv/confu.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FXdiv 2025-06-05T23:20:09.0143391Z copying src/executorch/backends/xnnpack/third-party/cpuinfo/confu.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo 2025-06-05T23:20:09.0144916Z copying src/executorch/backends/xnnpack/third-party/pthreadpool/confu.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/pthreadpool 2025-06-05T23:20:09.0146601Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/scripts/generate-build-identifier.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts 2025-06-05T23:20:09.0148302Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/scripts/sort-filenames.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts 2025-06-05T23:20:09.0149621Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0162252Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/bf16-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0163851Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-conv-hwc2chw.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0165391Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-dwconv2d-chw.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0166969Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0168724Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-igemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0170313Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-rdsum.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0171847Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-rsum.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0173591Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0175384Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-ibilinear-chw.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0177982Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-ibilinear.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0179513Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-igemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0181115Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-raddstoreexpminusmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0182676Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0185247Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rmin.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0186757Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rminmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0503322Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rsum.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0504881Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-spmm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0506448Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vmulcaddc-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0508044Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-argmaxpool.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0509616Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-conv-hwc.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0511202Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-conv-hwc2chw.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0512754Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-dwconv2d-chw.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0514319Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm-goi-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0516647Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0519024Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm-relu.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0520531Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0522042Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemminc-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0523612Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-ibilinear-chw.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0525321Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-ibilinear.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0526844Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0528382Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm-relu.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0529884Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0531398Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-ppmm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0533828Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc4w-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0535829Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0537410Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm-relu.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0538949Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0541195Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddexpminusmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0543253Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddextexp.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0544853Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddstoreexpminusmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0546416Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rdsum.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0548709Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0550536Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rmin.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0552280Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rminmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0553780Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rsum.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0555290Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-spmm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0558027Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vmulcaddc-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0559692Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vscaleexpminusmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0561424Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vscaleextexp.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0563007Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qb4w-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0565500Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc4w-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0567421Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc8w-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0569047Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc8w-igemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0570684Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qb4w-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0572462Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qc4w-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0575266Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qc8w-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0576903Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qc8w-igemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0578545Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/qp8-f32-qb4w-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0580393Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/qp8-f32-qc4w-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0710651Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-qc8w-gemm-minmax-fp32.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0712801Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-qc8w-igemm-minmax-fp32.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0714629Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-rdsum-minmax-fp32.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0716468Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-rsum.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0718043Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-gemm-minmax-fp32.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0719619Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-gemm-minmax-rndnu.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0721223Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-igemm-minmax-fp32.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0723079Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-igemm-minmax-rndnu.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0724829Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-rdsum.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0726311Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-rsum.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0727810Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/s8-ibilinear.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0729360Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/u8-ibilinear.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0731040Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/u8-lut32norm.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0732533Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/u8-rmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0733977Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/test/x8-lut.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.0735531Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-argmaxpool-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:09.0737172Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:09.0739049Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc2chw-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:09.0740790Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-multipass-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:09.0742496Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-unipass-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:09.0744166Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv2d-chw-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:09.0745784Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-gemm-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:09.0747747Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-ibilinear-chw-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:09.0749694Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-ibilinear-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:09.0751565Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-lut-norm-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:09.0753235Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-lut-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:09.0755147Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddexpminusmax-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:09.0756931Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddextexp-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:09.0758645Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddstoreexpminusmax-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:09.0760337Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-rdsum-benchmark.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:09.0761957Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-rdsum-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:09.0763560Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-reduce-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:09.0765151Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-spmm-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:09.0766750Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vbinary-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:09.0768369Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vmulcaddc-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:09.0770054Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vscaleexpminusmax-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:09.0771819Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vscaleextexp-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:09.0773826Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vunary-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:09.0775443Z copying src/executorch/backends/xnnpack/third-party/XNNPACK/tools/update-microkernels.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:09.0777069Z copying src/executorch/backends/xnnpack/third-party/cpuinfo/scripts/android-device-dump.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/scripts 2025-06-05T23:20:09.0778727Z copying src/executorch/backends/xnnpack/third-party/cpuinfo/scripts/arm-linux-filesystem-dump.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/scripts 2025-06-05T23:20:09.0780522Z copying src/executorch/backends/xnnpack/third-party/cpuinfo/scripts/parse-x86-cpuid-dump.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/scripts 2025-06-05T23:20:09.0782506Z copying src/executorch/backends/xnnpack/third-party/cpuinfo/deps/clog/confu.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/deps/clog 2025-06-05T23:20:09.0783981Z copying src/executorch/devtools/etdump/etdump_schema_flatcc.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etdump 2025-06-05T23:20:09.1791935Z copying src/executorch/devtools/etdump/scalar_type.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etdump 2025-06-05T23:20:09.1793473Z copying src/executorch/devtools/bundled_program/schema/bundled_program_schema.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema 2025-06-05T23:20:09.1795290Z copying src/executorch/devtools/bundled_program/schema/scalar_type.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema 2025-06-05T23:20:09.1796686Z copying src/executorch/examples/llm_pte_finetuning/llama3_config.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning 2025-06-05T23:20:09.1798190Z copying src/executorch/examples/llm_pte_finetuning/phi3_alpaca_code_config.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning 2025-06-05T23:20:09.1799630Z copying src/executorch/examples/llm_pte_finetuning/phi3_config.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning 2025-06-05T23:20:09.1800932Z copying src/executorch/examples/llm_pte_finetuning/qwen_05b_config.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning 2025-06-05T23:20:09.1802321Z copying src/executorch/examples/models/phi-3-mini/export_phi-3-mini.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini 2025-06-05T23:20:09.1803654Z copying src/executorch/exir/_serialize/program.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize 2025-06-05T23:20:09.1804712Z copying src/executorch/exir/_serialize/scalar_type.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize 2025-06-05T23:20:09.1805857Z copying src/executorch/exir/dialects/edge/edge.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge 2025-06-05T23:20:09.1807094Z copying src/executorch/extension/pybindings/pybindings.pyi -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings 2025-06-05T23:20:09.1808299Z copying src/executorch/extension/flat_tensor/serialize/flat_tensor.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/serialize 2025-06-05T23:20:09.1809734Z copying src/executorch/extension/flat_tensor/serialize/scalar_type.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/serialize 2025-06-05T23:20:09.1811521Z copying src/executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/abseil.podspec.gen.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl 2025-06-05T23:20:09.1813561Z copying src/executorch/extension/llm/tokenizers/third-party/json/tools/gdb_pretty_printer/nlohmann-json.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/tools/gdb_pretty_printer 2025-06-05T23:20:09.1815560Z copying src/executorch/extension/training/pybindings/_training_lib.pyi -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/pybindings 2025-06-05T23:20:09.1816894Z copying src/executorch/kernels/quantized/quantized.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/kernels/quantized 2025-06-05T23:20:09.1818292Z copying src/executorch/kernels/quantized/test/supported_features_def.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/kernels/quantized/test 2025-06-05T23:20:09.1819337Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/runtime/kernel/test 2025-06-05T23:20:09.1820649Z copying src/executorch/runtime/kernel/test/functions.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/runtime/kernel/test 2025-06-05T23:20:09.1822010Z copying devtools/bundled_program/schema/bundled_program_schema.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/serialize 2025-06-05T23:20:09.1823419Z copying devtools/bundled_program/schema/scalar_type.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/serialize 2025-06-05T23:20:09.1824443Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/share/cmake 2025-06-05T23:20:09.1825384Z copying tools/cmake/executorch-wheel-config.cmake -> pip-out/lib.linux-x86_64-cpython-310/executorch/share/cmake/executorch-config.cmake 2025-06-05T23:20:09.1826437Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core 2025-06-05T23:20:09.1827438Z copying runtime/core/array_ref.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core 2025-06-05T23:20:09.1828519Z copying runtime/core/data_loader.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core 2025-06-05T23:20:09.1829495Z copying runtime/core/defines.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core 2025-06-05T23:20:09.1830541Z copying runtime/core/error.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core 2025-06-05T23:20:09.1831562Z copying runtime/core/evalue.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core 2025-06-05T23:20:09.1832627Z copying runtime/core/event_tracer.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core 2025-06-05T23:20:09.1833646Z copying runtime/core/event_tracer_hooks.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core 2025-06-05T23:20:09.1834836Z copying runtime/core/event_tracer_hooks_delegate.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core 2025-06-05T23:20:09.1835890Z copying runtime/core/freeable_buffer.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core 2025-06-05T23:20:09.1837004Z copying runtime/core/function_ref.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core 2025-06-05T23:20:09.1838056Z copying runtime/core/hierarchical_allocator.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core 2025-06-05T23:20:09.1839222Z copying runtime/core/memory_allocator.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core 2025-06-05T23:20:09.1840269Z copying runtime/core/named_data_map.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core 2025-06-05T23:20:09.1841336Z copying runtime/core/result.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core 2025-06-05T23:20:09.1842370Z copying runtime/core/span.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core 2025-06-05T23:20:09.1843350Z copying runtime/core/tag.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core 2025-06-05T23:20:09.1844439Z copying runtime/core/tensor_layout.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core 2025-06-05T23:20:09.1845632Z copying runtime/core/tensor_shape_dynamism.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core 2025-06-05T23:20:09.1846749Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten 2025-06-05T23:20:09.1847861Z copying runtime/core/exec_aten/exec_aten.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten 2025-06-05T23:20:09.1849236Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/testing_util 2025-06-05T23:20:09.1850552Z copying runtime/core/exec_aten/testing_util/tensor_factory.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/testing_util 2025-06-05T23:20:09.1852078Z copying runtime/core/exec_aten/testing_util/tensor_util.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/testing_util 2025-06-05T23:20:09.1853171Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/util 2025-06-05T23:20:09.1854270Z copying runtime/core/exec_aten/util/dim_order_util.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/util 2025-06-05T23:20:09.1855621Z copying runtime/core/exec_aten/util/scalar_type_util.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/util 2025-06-05T23:20:09.1857156Z copying runtime/core/exec_aten/util/tensor_dimension_limit.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/util 2025-06-05T23:20:09.1858814Z copying runtime/core/exec_aten/util/tensor_shape_to_c_string.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/util 2025-06-05T23:20:09.1860328Z copying runtime/core/exec_aten/util/tensor_util.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/util 2025-06-05T23:20:09.1861377Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type 2025-06-05T23:20:09.1862445Z copying runtime/core/portable_type/bfloat16.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type 2025-06-05T23:20:09.1863669Z copying runtime/core/portable_type/bfloat16_math.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type 2025-06-05T23:20:09.1864981Z copying runtime/core/portable_type/bits_types.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type 2025-06-05T23:20:09.1866189Z copying runtime/core/portable_type/complex.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type 2025-06-05T23:20:09.1925855Z copying runtime/core/portable_type/device.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type 2025-06-05T23:20:09.1927323Z copying runtime/core/portable_type/half.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type 2025-06-05T23:20:09.1928767Z copying runtime/core/portable_type/optional.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type 2025-06-05T23:20:09.1930133Z copying runtime/core/portable_type/qint_types.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type 2025-06-05T23:20:09.1931341Z copying runtime/core/portable_type/scalar.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type 2025-06-05T23:20:09.1932522Z copying runtime/core/portable_type/scalar_type.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type 2025-06-05T23:20:09.1933693Z copying runtime/core/portable_type/string_view.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type 2025-06-05T23:20:09.1934858Z copying runtime/core/portable_type/tensor.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type 2025-06-05T23:20:09.1936021Z copying runtime/core/portable_type/tensor_impl.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type 2025-06-05T23:20:09.1937200Z copying runtime/core/portable_type/tensor_options.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type 2025-06-05T23:20:09.1938304Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/macros 2025-06-05T23:20:09.1939741Z copying runtime/core/portable_type/c10/c10/macros/Export.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/macros 2025-06-05T23:20:09.1941178Z copying runtime/core/portable_type/c10/c10/macros/Macros.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/macros 2025-06-05T23:20:09.1942385Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-06-05T23:20:09.1943577Z copying runtime/core/portable_type/c10/c10/util/BFloat16-inl.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-06-05T23:20:09.1945138Z copying runtime/core/portable_type/c10/c10/util/BFloat16-math.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-06-05T23:20:09.1946696Z copying runtime/core/portable_type/c10/c10/util/BFloat16.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-06-05T23:20:09.1948095Z copying runtime/core/portable_type/c10/c10/util/Half-inl.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-06-05T23:20:09.1949481Z copying runtime/core/portable_type/c10/c10/util/Half.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-06-05T23:20:09.1951004Z copying runtime/core/portable_type/c10/c10/util/TypeSafeSignMath.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-06-05T23:20:09.1952779Z copying runtime/core/portable_type/c10/c10/util/bit_cast.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-06-05T23:20:09.1954533Z copying runtime/core/portable_type/c10/c10/util/complex.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-06-05T23:20:09.1956025Z copying runtime/core/portable_type/c10/c10/util/complex_math.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-06-05T23:20:09.1957468Z copying runtime/core/portable_type/c10/c10/util/complex_utils.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-06-05T23:20:09.1958960Z copying runtime/core/portable_type/c10/c10/util/floating_point_utils.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-06-05T23:20:09.1960419Z copying runtime/core/portable_type/c10/c10/util/irange.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-06-05T23:20:09.1961476Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel 2025-06-05T23:20:09.1962347Z copying runtime/kernel/kernel_includes.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel 2025-06-05T23:20:09.1963366Z copying runtime/kernel/kernel_runtime_context.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel 2025-06-05T23:20:09.1964402Z copying runtime/kernel/operator_registry.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel 2025-06-05T23:20:09.1965457Z copying runtime/kernel/thread_parallel_interface.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel 2025-06-05T23:20:09.1966368Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel/test 2025-06-05T23:20:09.1967270Z copying runtime/kernel/test/test_util.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel/test 2025-06-05T23:20:09.1968239Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform 2025-06-05T23:20:09.1969087Z copying runtime/platform/abort.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform 2025-06-05T23:20:09.1970050Z copying runtime/platform/assert.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform 2025-06-05T23:20:09.1970998Z copying runtime/platform/clock.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform 2025-06-05T23:20:09.1971990Z copying runtime/platform/compat_unistd.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform 2025-06-05T23:20:09.1973210Z copying runtime/platform/compiler.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform 2025-06-05T23:20:09.1974294Z copying runtime/platform/log.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform 2025-06-05T23:20:09.1975271Z copying runtime/platform/platform.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform 2025-06-05T23:20:09.1976249Z copying runtime/platform/profiler.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform 2025-06-05T23:20:09.1977239Z copying runtime/platform/runtime.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform 2025-06-05T23:20:09.1978218Z copying runtime/platform/system.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform 2025-06-05T23:20:09.1979163Z copying runtime/platform/types.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform 2025-06-05T23:20:09.1980030Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/test 2025-06-05T23:20:09.1980951Z copying runtime/platform/test/pal_spy.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/test 2025-06-05T23:20:09.1982041Z copying runtime/platform/test/stub_platform.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/test 2025-06-05T23:20:09.1982992Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/kernel_util 2025-06-05T23:20:09.1983983Z copying extension/kernel_util/make_boxed_from_unboxed_functor.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/kernel_util 2025-06-05T23:20:09.1985159Z copying extension/kernel_util/meta_programming.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/kernel_util 2025-06-05T23:20:09.1986246Z copying extension/kernel_util/type_list.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/kernel_util 2025-06-05T23:20:09.1987128Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/tensor 2025-06-05T23:20:09.1987976Z copying extension/tensor/tensor.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/tensor 2025-06-05T23:20:09.1988961Z copying extension/tensor/tensor_accessor.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/tensor 2025-06-05T23:20:09.1989969Z copying extension/tensor/tensor_ptr.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/tensor 2025-06-05T23:20:09.1991047Z copying extension/tensor/tensor_ptr_maker.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/tensor 2025-06-05T23:20:09.1991940Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/threadpool 2025-06-05T23:20:09.1992889Z copying extension/threadpool/cpuinfo_utils.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/threadpool 2025-06-05T23:20:09.2704357Z copying extension/threadpool/threadpool.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/threadpool 2025-06-05T23:20:09.2706253Z copying extension/threadpool/threadpool_guard.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/threadpool 2025-06-05T23:20:09.2707130Z running build_ext 2025-06-05T23:20:09.2707645Z creating /pytorch/executorch/pip-out/lib.linux-x86_64-cpython-310/executorch/data/bin 2025-06-05T23:20:09.2709193Z copying /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/third-party/flatbuffers_external_project/bin/flatc -> /pytorch/executorch/pip-out/lib.linux-x86_64-cpython-310/executorch/data/bin 2025-06-05T23:20:09.2710994Z copying tools/wheel/pip_data_bin_init.py.in -> /pytorch/executorch/pip-out/lib.linux-x86_64-cpython-310/executorch/data/bin/__init__.py 2025-06-05T23:20:09.2712586Z copying /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/_portable_lib.cpython-310-x86_64-linux-gnu.so -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings 2025-06-05T23:20:09.2714905Z copying /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/backends/apple/coreml/executorchcoreml.cpython-310-x86_64-linux-gnu.so -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml 2025-06-05T23:20:09.2717140Z copying /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/extension/llm/custom_ops/libcustom_ops_aot_lib.so -> /pytorch/executorch/pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops 2025-06-05T23:20:09.2719371Z copying /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/kernels/quantized/libquantized_ops_aot_lib.so -> /pytorch/executorch/pip-out/lib.linux-x86_64-cpython-310/executorch/kernels/quantized 2025-06-05T23:20:09.2720681Z installing to pip-out/bdist.linux-x86_64/wheel 2025-06-05T23:20:09.2721104Z running install 2025-06-05T23:20:09.2721376Z running install_lib 2025-06-05T23:20:09.2721691Z creating pip-out/bdist.linux-x86_64/wheel 2025-06-05T23:20:09.2722057Z creating pip-out/bdist.linux-x86_64/wheel/executorch 2025-06-05T23:20:09.2722713Z creating pip-out/bdist.linux-x86_64/wheel/executorch/codegen 2025-06-05T23:20:09.2723608Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen 2025-06-05T23:20:09.2724791Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/gen.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen 2025-06-05T23:20:09.2726094Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen 2025-06-05T23:20:09.2727350Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/parse.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen 2025-06-05T23:20:09.2728202Z creating pip-out/bdist.linux-x86_64/wheel/executorch/codegen/api 2025-06-05T23:20:09.2729094Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/api/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/api 2025-06-05T23:20:09.2730439Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/api/custom_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/api 2025-06-05T23:20:09.2731773Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/api/et_cpp.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/api 2025-06-05T23:20:09.2733088Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/api/unboxing.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/api 2025-06-05T23:20:09.2733971Z creating pip-out/bdist.linux-x86_64/wheel/executorch/codegen/api/types 2025-06-05T23:20:09.2734988Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/api/types/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/api/types 2025-06-05T23:20:09.2736468Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/api/types/signatures.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/api/types 2025-06-05T23:20:09.2738083Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/api/types/types.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/api/types 2025-06-05T23:20:09.2739160Z creating pip-out/bdist.linux-x86_64/wheel/executorch/codegen/test 2025-06-05T23:20:09.2740125Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/test/test_executorch_custom_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/test 2025-06-05T23:20:09.2741558Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/test/test_executorch_gen.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/test 2025-06-05T23:20:09.2743041Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/test/test_executorch_signatures.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/test 2025-06-05T23:20:09.2744542Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/test/test_executorch_types.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/test 2025-06-05T23:20:09.2746078Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/test/test_executorch_unboxing.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/test 2025-06-05T23:20:09.2747552Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/test/test_selective_build.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/test 2025-06-05T23:20:09.2748537Z creating pip-out/bdist.linux-x86_64/wheel/executorch/codegen/tools 2025-06-05T23:20:09.2749443Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/tools 2025-06-05T23:20:09.2750718Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/gen_all_oplist.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/tools 2025-06-05T23:20:09.2752327Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/gen_oplist.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/tools 2025-06-05T23:20:09.2753719Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/gen_ops_def.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/tools 2025-06-05T23:20:09.2755136Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/gen_selected_op_variants.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/tools 2025-06-05T23:20:09.2756630Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/merge_yaml.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/tools 2025-06-05T23:20:09.2758050Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/yaml_util.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/tools 2025-06-05T23:20:09.2759005Z creating pip-out/bdist.linux-x86_64/wheel/executorch/codegen/tools/test 2025-06-05T23:20:09.2760075Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/test/test_gen_all_oplist.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/tools/test 2025-06-05T23:20:09.2761596Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/test/test_gen_oplist.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/tools/test 2025-06-05T23:20:09.2763206Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/test/test_gen_oplist_real_model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/tools/test 2025-06-05T23:20:09.2764858Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/test/test_gen_selected_op_variants.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/tools/test 2025-06-05T23:20:09.2766030Z creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools 2025-06-05T23:20:09.2766893Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools 2025-06-05T23:20:09.2767798Z creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools/backend_debug 2025-06-05T23:20:09.2769051Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/backend_debug/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/backend_debug 2025-06-05T23:20:09.2770605Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/backend_debug/delegation_info.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/backend_debug 2025-06-05T23:20:09.2771832Z creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools/backend_debug/tests 2025-06-05T23:20:09.2773225Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/backend_debug/tests/test_delegation_info.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/backend_debug/tests 2025-06-05T23:20:09.2774382Z creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools/bundled_program 2025-06-05T23:20:09.2775445Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/config.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/bundled_program 2025-06-05T23:20:09.2777088Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/core.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/bundled_program 2025-06-05T23:20:09.2778511Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/version.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/bundled_program 2025-06-05T23:20:09.2779604Z creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools/bundled_program/schema 2025-06-05T23:20:09.2789290Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/bundled_program/schema 2025-06-05T23:20:09.2791320Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema/bundled_program_schema.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/bundled_program/schema 2025-06-05T23:20:09.2792742Z creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools/bundled_program/schema/test 2025-06-05T23:20:09.2794338Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema/test/test_schema.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/bundled_program/schema/test 2025-06-05T23:20:09.2796159Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema/bundled_program_schema.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/bundled_program/schema 2025-06-05T23:20:09.2798065Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema/scalar_type.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/bundled_program/schema 2025-06-05T23:20:09.2799326Z creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools/bundled_program/serialize 2025-06-05T23:20:09.2800637Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/serialize/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/bundled_program/serialize 2025-06-05T23:20:09.2802000Z creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools/bundled_program/serialize/test 2025-06-05T23:20:09.2803391Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/serialize/test/test_serialize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/bundled_program/serialize/test 2025-06-05T23:20:09.2805299Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/serialize/bundled_program_schema.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/bundled_program/serialize 2025-06-05T23:20:09.2807193Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/serialize/scalar_type.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/bundled_program/serialize 2025-06-05T23:20:09.2808459Z creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools/bundled_program/test 2025-06-05T23:20:09.2809842Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/test/test_bundle_data.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/bundled_program/test 2025-06-05T23:20:09.2811499Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/test/test_config.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/bundled_program/test 2025-06-05T23:20:09.2813132Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/test/test_end2end.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/bundled_program/test 2025-06-05T23:20:09.2814286Z creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools/bundled_program/util 2025-06-05T23:20:09.2815455Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/util/test_util.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/bundled_program/util 2025-06-05T23:20:09.2816519Z creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools/debug_format 2025-06-05T23:20:09.2817655Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/debug_format/base_schema.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/debug_format 2025-06-05T23:20:09.2819163Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/debug_format/et_schema.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/debug_format 2025-06-05T23:20:09.2820311Z creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools/etdump 2025-06-05T23:20:09.2821372Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etdump/schema_flatcc.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/etdump 2025-06-05T23:20:09.2822931Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etdump/serialize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/etdump 2025-06-05T23:20:09.2824072Z creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools/etdump/tests 2025-06-05T23:20:09.2825299Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etdump/tests/serialize_test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/etdump/tests 2025-06-05T23:20:09.2827018Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etdump/etdump_schema_flatcc.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/etdump 2025-06-05T23:20:09.2828667Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etdump/scalar_type.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/etdump 2025-06-05T23:20:09.2829780Z creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools/etrecord 2025-06-05T23:20:09.2831061Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etrecord/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/etrecord 2025-06-05T23:20:09.2832622Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etrecord/_etrecord.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/etrecord 2025-06-05T23:20:09.2833787Z creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools/etrecord/tests 2025-06-05T23:20:09.2834908Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etrecord/tests/etrecord_test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/etrecord/tests 2025-06-05T23:20:09.2836096Z creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools/inspector 2025-06-05T23:20:09.2837259Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/inspector 2025-06-05T23:20:09.2838683Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector/_inspector.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/inspector 2025-06-05T23:20:09.2840110Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector/_inspector_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/inspector 2025-06-05T23:20:09.2841797Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector/_intermediate_output_capturer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/inspector 2025-06-05T23:20:09.2843500Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector/inspector_cli.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/inspector 2025-06-05T23:20:09.2844560Z creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools/inspector/tests 2025-06-05T23:20:09.2845761Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector/tests/event_blocks_test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/inspector/tests 2025-06-05T23:20:09.2847418Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector/tests/inspector_test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/inspector/tests 2025-06-05T23:20:09.2849098Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector/tests/inspector_test_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/inspector/tests 2025-06-05T23:20:09.2850866Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector/tests/inspector_utils_test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/inspector/tests 2025-06-05T23:20:09.2852691Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector/tests/intermediate_output_capturer_test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/inspector/tests 2025-06-05T23:20:09.2854076Z creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools/size_analysis_tool 2025-06-05T23:20:09.2855321Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/size_analysis_tool/size_analysis_tool.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/size_analysis_tool 2025-06-05T23:20:09.2857057Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/size_analysis_tool/size_analysis_tool_test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/size_analysis_tool 2025-06-05T23:20:09.2858338Z creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools/visualization 2025-06-05T23:20:09.2859459Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/visualization/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/visualization 2025-06-05T23:20:09.2861181Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/visualization/visualization_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/visualization 2025-06-05T23:20:09.2862877Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/visualization/visualization_utils_test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/visualization 2025-06-05T23:20:09.2864211Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir 2025-06-05T23:20:09.2864969Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir 2025-06-05T23:20:09.2866138Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_warnings.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir 2025-06-05T23:20:09.2877185Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/common.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir 2025-06-05T23:20:09.2878543Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/control_flow.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir 2025-06-05T23:20:09.2879812Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/delegate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir 2025-06-05T23:20:09.2881097Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dim_order_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir 2025-06-05T23:20:09.2882299Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dynamic_shape.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir 2025-06-05T23:20:09.2883555Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/error.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir 2025-06-05T23:20:09.2884797Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/graph.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir 2025-06-05T23:20:09.2886314Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/graph_module.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir 2025-06-05T23:20:09.2887838Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/lowered_backend_module.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir 2025-06-05T23:20:09.2889249Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/memory.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir 2025-06-05T23:20:09.2890411Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/memory_planning.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir 2025-06-05T23:20:09.2891665Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/pass_base.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir 2025-06-05T23:20:09.2892998Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/pass_manager.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir 2025-06-05T23:20:09.2894219Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/print_program.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir 2025-06-05T23:20:09.2895430Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/scalar_type.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir 2025-06-05T23:20:09.2896665Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/schema.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir 2025-06-05T23:20:09.2897909Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/sym_util.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir 2025-06-05T23:20:09.2899121Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tensor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir 2025-06-05T23:20:09.2900195Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tracer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir 2025-06-05T23:20:09.2901386Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/types.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir 2025-06-05T23:20:09.2902633Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/version.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir 2025-06-05T23:20:09.2903659Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/wrap.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir 2025-06-05T23:20:09.2904626Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/_serialize 2025-06-05T23:20:09.2905534Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize 2025-06-05T23:20:09.2906939Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/_cord.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize 2025-06-05T23:20:09.2908401Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/_dataclass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize 2025-06-05T23:20:09.2909858Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/_flatbuffer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize 2025-06-05T23:20:09.2911378Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/_named_data_store.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize 2025-06-05T23:20:09.2912806Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/_program.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize 2025-06-05T23:20:09.2914239Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/_serialize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize 2025-06-05T23:20:09.2915725Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/data_serializer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize 2025-06-05T23:20:09.2917336Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/padding.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize 2025-06-05T23:20:09.2918399Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/_serialize/test 2025-06-05T23:20:09.2919556Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize/test 2025-06-05T23:20:09.2921120Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test/test_cord.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize/test 2025-06-05T23:20:09.2922670Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test/test_flatbuffer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize/test 2025-06-05T23:20:09.2924287Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test/test_named_data_store.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize/test 2025-06-05T23:20:09.2925934Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test/test_program.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize/test 2025-06-05T23:20:09.2927442Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/program.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize 2025-06-05T23:20:09.2928895Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/scalar_type.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize 2025-06-05T23:20:09.2929814Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend 2025-06-05T23:20:09.2930868Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/backend_api.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend 2025-06-05T23:20:09.2932353Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/backend_details.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend 2025-06-05T23:20:09.2933717Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/compile_spec_schema.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend 2025-06-05T23:20:09.2935284Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/operator_support.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend 2025-06-05T23:20:09.2936650Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend 2025-06-05T23:20:09.2938066Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend 2025-06-05T23:20:09.2939206Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/canonical_partitioners 2025-06-05T23:20:09.2940518Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/canonical_partitioners/all_node_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/canonical_partitioners 2025-06-05T23:20:09.2942612Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/canonical_partitioners/config_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/canonical_partitioners 2025-06-05T23:20:09.2944636Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/canonical_partitioners/duplicate_constant_node_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/canonical_partitioners 2025-06-05T23:20:09.2946840Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/canonical_partitioners/duplicate_dequant_node_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/canonical_partitioners 2025-06-05T23:20:09.2948932Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/canonical_partitioners/pattern_op_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/canonical_partitioners 2025-06-05T23:20:09.2950236Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test 2025-06-05T23:20:09.2951559Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/backend_with_compiler_demo.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test 2025-06-05T23:20:09.2953102Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/backend_with_delegate_mapping_demo.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test 2025-06-05T23:20:09.2971209Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/backend_with_named_data_map.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test 2025-06-05T23:20:09.2973263Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/backend_with_preprocess_all_demo.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test 2025-06-05T23:20:09.2975054Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/hta_partitioner_demo.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test 2025-06-05T23:20:09.2977004Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/op_partitioner_demo.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test 2025-06-05T23:20:09.2978733Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/qnn_backend_demo.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test 2025-06-05T23:20:09.2980555Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_backend_with_named_data_map.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test 2025-06-05T23:20:09.2982422Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_backends.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test 2025-06-05T23:20:09.2984056Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_backends_lifted.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test 2025-06-05T23:20:09.2985933Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_backends_nested.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test 2025-06-05T23:20:09.2987290Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_compatibility.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test 2025-06-05T23:20:09.2988846Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_debug_handle_map.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test 2025-06-05T23:20:09.2990442Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_delegate_map_builder.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test 2025-06-05T23:20:09.2992173Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_graph_partition.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test 2025-06-05T23:20:09.2993862Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_lowered_backend_module.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test 2025-06-05T23:20:09.2995370Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test 2025-06-05T23:20:09.2996949Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_passes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test 2025-06-05T23:20:09.2998363Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_to_backend_multi_method.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test 2025-06-05T23:20:09.3000017Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test 2025-06-05T23:20:09.3001246Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test/demos 2025-06-05T23:20:09.3002696Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos/test_delegate_aten_mode.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test/demos 2025-06-05T23:20:09.3004537Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos/test_xnnpack_qnnpack.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test/demos 2025-06-05T23:20:09.3005879Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test/demos/rpc 2025-06-05T23:20:09.3007283Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos/rpc/executor_backend_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test/demos/rpc 2025-06-05T23:20:09.3009482Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos/rpc/executor_backend_preprocess.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test/demos/rpc 2025-06-05T23:20:09.3012379Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos/rpc/test_rpc.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test/demos/rpc 2025-06-05T23:20:09.3014257Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/capture 2025-06-05T23:20:09.3015811Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/capture 2025-06-05T23:20:09.3017944Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture/_capture.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/capture 2025-06-05T23:20:09.3020103Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture/_config.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/capture 2025-06-05T23:20:09.3022264Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture/_unlift.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/capture 2025-06-05T23:20:09.3023822Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects 2025-06-05T23:20:09.3025407Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects 2025-06-05T23:20:09.3027525Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects 2025-06-05T23:20:09.3029128Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/backend 2025-06-05T23:20:09.3030964Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/backend/_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/backend 2025-06-05T23:20:09.3032728Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/backend/test 2025-06-05T23:20:09.3034728Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/backend/test/test_backend_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/backend/test 2025-06-05T23:20:09.3036681Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge 2025-06-05T23:20:09.3038391Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/edge 2025-06-05T23:20:09.3040118Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/arg 2025-06-05T23:20:09.3041914Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/arg/model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/edge/arg 2025-06-05T23:20:09.3044451Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/arg/type.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/edge/arg 2025-06-05T23:20:09.3046275Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/dtype 2025-06-05T23:20:09.3048143Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/dtype/runner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/edge/dtype 2025-06-05T23:20:09.3050967Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/dtype/supported.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/edge/dtype 2025-06-05T23:20:09.3053647Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/dtype/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/edge/dtype 2025-06-05T23:20:09.3055486Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/op 2025-06-05T23:20:09.3057254Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/op/api.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/edge/op 2025-06-05T23:20:09.3059780Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/op/sample_input.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/edge/op 2025-06-05T23:20:09.3061887Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/op/test 2025-06-05T23:20:09.3063815Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/op/test/test_api.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/edge/op/test 2025-06-05T23:20:09.3065731Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/spec 2025-06-05T23:20:09.3067568Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/spec/gen.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/edge/spec 2025-06-05T23:20:09.3070105Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/spec/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/edge/spec 2025-06-05T23:20:09.3072016Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/test 2025-06-05T23:20:09.3074041Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/test/test_edge_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/edge/test 2025-06-05T23:20:09.3078136Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/test/test_edge_yaml.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/edge/test 2025-06-05T23:20:09.3080706Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/edge.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/edge 2025-06-05T23:20:09.3082485Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/test 2025-06-05T23:20:09.3084336Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/test/test_exir_dialect_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/test 2025-06-05T23:20:09.3086122Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/emit 2025-06-05T23:20:09.3087588Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/emit 2025-06-05T23:20:09.3089674Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit/_emit_program.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/emit 2025-06-05T23:20:09.3091771Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit/_emitter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/emit 2025-06-05T23:20:09.3093277Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/emit/test 2025-06-05T23:20:09.3094902Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit/test/test_emit.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/emit/test 2025-06-05T23:20:09.3096541Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/operator 2025-06-05T23:20:09.3098143Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator/convert.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/operator 2025-06-05T23:20:09.3100367Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator/manip.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/operator 2025-06-05T23:20:09.3102771Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator/util.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/operator 2025-06-05T23:20:09.3104386Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/operator/test 2025-06-05T23:20:09.3106198Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator/test/test_operator.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/operator/test 2025-06-05T23:20:09.3107928Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes 2025-06-05T23:20:09.3109458Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes 2025-06-05T23:20:09.3111898Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/_quant_patterns_and_replacements.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes 2025-06-05T23:20:09.3114339Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/const_prop_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes 2025-06-05T23:20:09.3116875Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/constant_prop_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes 2025-06-05T23:20:09.3119282Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/debug_handle_generator_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes 2025-06-05T23:20:09.3121743Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/dim_order_ops_registry.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes 2025-06-05T23:20:09.3124125Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/dynamic_shape_prop_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes 2025-06-05T23:20:09.3126604Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/executorch_prim_ops_registry.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes 2025-06-05T23:20:09.3129138Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/external_constants_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes 2025-06-05T23:20:09.3131544Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/init_mutable_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes 2025-06-05T23:20:09.3133957Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/insert_write_back_for_buffers_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes 2025-06-05T23:20:09.3136449Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/memory_format_ops_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes 2025-06-05T23:20:09.3138862Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/memory_planning_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes 2025-06-05T23:20:09.3141314Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/normalize_transpose_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes 2025-06-05T23:20:09.3143846Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/normalize_view_copy_base_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes 2025-06-05T23:20:09.3146252Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/pass_registry.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes 2025-06-05T23:20:09.3148588Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/prune_empty_tensors_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes 2025-06-05T23:20:09.3151054Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/quant_fusion_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes 2025-06-05T23:20:09.3153373Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/quantize_io_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes 2025-06-05T23:20:09.3155989Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/remove_graph_asserts_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes 2025-06-05T23:20:09.3158489Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/remove_mixed_type_operators.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes 2025-06-05T23:20:09.3160914Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/remove_noop_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes 2025-06-05T23:20:09.3163346Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/remove_unused_parameters_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes 2025-06-05T23:20:09.3165845Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/replace_aten_with_edge_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes 2025-06-05T23:20:09.3168564Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/replace_broken_ops_with_function_ops_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes 2025-06-05T23:20:09.3171188Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/replace_edge_with_backend_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes 2025-06-05T23:20:09.3173839Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/replace_sym_size_op_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes 2025-06-05T23:20:09.3176330Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/replace_view_copy_with_view_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes 2025-06-05T23:20:09.3178788Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/scalar_to_tensor_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes 2025-06-05T23:20:09.3181115Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/spec_prop_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes 2025-06-05T23:20:09.3183437Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/sym_shape_eval_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes 2025-06-05T23:20:09.3185748Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/sym_to_tensor_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes 2025-06-05T23:20:09.3188101Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/weights_to_outputs_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes 2025-06-05T23:20:09.3189811Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/program 2025-06-05T23:20:09.3191434Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/program 2025-06-05T23:20:09.3193652Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program/_fake_program.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/program 2025-06-05T23:20:09.3195921Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program/_program.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/program 2025-06-05T23:20:09.3197534Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/program/test 2025-06-05T23:20:09.3199233Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program/test/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/program/test 2025-06-05T23:20:09.3201764Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program/test/test_fake_program.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/program/test 2025-06-05T23:20:09.3204262Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program/test/test_program.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/program/test 2025-06-05T23:20:09.3205992Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/serde 2025-06-05T23:20:09.3207518Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/serde 2025-06-05T23:20:09.3209881Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde/export_serialize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/serde 2025-06-05T23:20:09.3212047Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde/schema.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/serde 2025-06-05T23:20:09.3214182Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde/schema_check.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/serde 2025-06-05T23:20:09.3216400Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde/serialize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/serde 2025-06-05T23:20:09.3218539Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde/union.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/serde 2025-06-05T23:20:09.3220252Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests 2025-06-05T23:20:09.3221787Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/asr_joiner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests 2025-06-05T23:20:09.3223924Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/common.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests 2025-06-05T23:20:09.3226124Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/control_flow_models.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests 2025-06-05T23:20:09.3228447Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/dynamic_shape_models.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests 2025-06-05T23:20:09.3230667Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/models.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests 2025-06-05T23:20:09.3232938Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_arg_validator.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests 2025-06-05T23:20:09.3235213Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_capture.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests 2025-06-05T23:20:09.3237378Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_common.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests 2025-06-05T23:20:09.3239555Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_delegate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests 2025-06-05T23:20:09.3241816Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_dim_order_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests 2025-06-05T23:20:09.3244225Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_dynamic_shape_propagation.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests 2025-06-05T23:20:09.3246575Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_error.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests 2025-06-05T23:20:09.3248769Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_joint_graph.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests 2025-06-05T23:20:09.3251093Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_memory_format_ops_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests 2025-06-05T23:20:09.3253564Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_memory_format_ops_pass_aten.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests 2025-06-05T23:20:09.3256063Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_memory_format_ops_pass_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests 2025-06-05T23:20:09.3258480Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_memory_planning.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests 2025-06-05T23:20:09.3260927Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_op_convert.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests 2025-06-05T23:20:09.3263155Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_pass_infra.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests 2025-06-05T23:20:09.3265360Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_passes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests 2025-06-05T23:20:09.3267599Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_print_program.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests 2025-06-05T23:20:09.3269958Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_prune_empty_tensors_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests 2025-06-05T23:20:09.3272450Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_quant_fusion_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests 2025-06-05T23:20:09.3275067Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_quantization.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests 2025-06-05T23:20:09.3277372Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_quantize_io_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests 2025-06-05T23:20:09.3279825Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_remove_unused_parameters_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests 2025-06-05T23:20:09.3282274Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_remove_view_copy.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests 2025-06-05T23:20:09.3284532Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_serde.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests 2025-06-05T23:20:09.3286706Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_tensor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests 2025-06-05T23:20:09.3288895Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_tracer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests 2025-06-05T23:20:09.3291145Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_verification.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests 2025-06-05T23:20:09.3293405Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_warnings.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests 2025-06-05T23:20:09.3295590Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/transformer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests 2025-06-05T23:20:09.3297242Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/verification 2025-06-05T23:20:09.3299008Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification/arg_validator.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/verification 2025-06-05T23:20:09.3301485Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification/dev_html.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/verification 2025-06-05T23:20:09.3303965Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification/interpreter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/verification 2025-06-05T23:20:09.3306477Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification/verifier.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/verification 2025-06-05T23:20:09.3308273Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/verification/test 2025-06-05T23:20:09.3310170Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification/test/test_verifier.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/verification/test 2025-06-05T23:20:09.3312567Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/delegate.pyi -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir 2025-06-05T23:20:09.3314206Z creating pip-out/bdist.linux-x86_64/wheel/executorch/runtime 2025-06-05T23:20:09.3315610Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/runtime/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/runtime 2025-06-05T23:20:09.3317079Z creating pip-out/bdist.linux-x86_64/wheel/executorch/runtime/test 2025-06-05T23:20:09.3318679Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/runtime/test/test_runtime.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/runtime/test 2025-06-05T23:20:09.3320323Z creating pip-out/bdist.linux-x86_64/wheel/executorch/runtime/kernel 2025-06-05T23:20:09.3321357Z creating pip-out/bdist.linux-x86_64/wheel/executorch/runtime/kernel/test 2025-06-05T23:20:09.3323157Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/runtime/kernel/test/functions.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/runtime/kernel/test 2025-06-05T23:20:09.3325054Z creating pip-out/bdist.linux-x86_64/wheel/executorch/util 2025-06-05T23:20:09.3326662Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/util/activation_memory_profiler.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/util 2025-06-05T23:20:09.3328773Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/util/collect_env.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/util 2025-06-05T23:20:09.3330766Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/util/python_profiler.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/util 2025-06-05T23:20:09.3332227Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends 2025-06-05T23:20:09.3333166Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm 2025-06-05T23:20:09.3334757Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/arm_backend.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm 2025-06-05T23:20:09.3336973Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/arm_vela.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm 2025-06-05T23:20:09.3339234Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/ethosu_backend.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm 2025-06-05T23:20:09.3341595Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/ethosu_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm 2025-06-05T23:20:09.3343948Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/process_node.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm 2025-06-05T23:20:09.3346174Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/tosa_backend.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm 2025-06-05T23:20:09.3348435Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/tosa_mapping.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm 2025-06-05T23:20:09.3350761Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/tosa_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm 2025-06-05T23:20:09.3353197Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/tosa_quant_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm 2025-06-05T23:20:09.3355569Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/tosa_specification.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm 2025-06-05T23:20:09.3357901Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/tosa_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm 2025-06-05T23:20:09.3360144Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/vgf_backend.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm 2025-06-05T23:20:09.3362434Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/vgf_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm 2025-06-05T23:20:09.3364164Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/_passes 2025-06-05T23:20:09.3366058Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes 2025-06-05T23:20:09.3368513Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/_debug_passes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes 2025-06-05T23:20:09.3371222Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/annotate_channels_last_dim_order_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes 2025-06-05T23:20:09.3374170Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/annotate_decomposed_matmul.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes 2025-06-05T23:20:09.3377019Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/arm_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes 2025-06-05T23:20:09.3379538Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/arm_pass_manager.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes 2025-06-05T23:20:09.3382098Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/arm_pass_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes 2025-06-05T23:20:09.3384704Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/broadcast_args_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes 2025-06-05T23:20:09.3387298Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/cast_int64_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes 2025-06-05T23:20:09.3389871Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/cast_to_int32_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes 2025-06-05T23:20:09.3392587Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/conv1d_unsqueeze_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes 2025-06-05T23:20:09.3395337Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/convert_any_default_dim_dims_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes 2025-06-05T23:20:09.3398125Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/convert_expand_copy_to_repeat.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes 2025-06-05T23:20:09.3400944Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/convert_full_like_to_full_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes 2025-06-05T23:20:09.3403642Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/convert_int_pow_to_mul.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes 2025-06-05T23:20:09.3406298Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/convert_minmax_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes 2025-06-05T23:20:09.3408912Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/convert_split_to_slice.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes 2025-06-05T23:20:09.3411570Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/convert_squeezes_to_view.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes 2025-06-05T23:20:09.3414200Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/convert_to_clamp.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes 2025-06-05T23:20:09.3416913Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/decompose_cosine_similarity_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes 2025-06-05T23:20:09.3419930Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/decompose_div_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes 2025-06-05T23:20:09.3422556Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/decompose_gelu_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes 2025-06-05T23:20:09.3425253Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/decompose_groupnorm_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes 2025-06-05T23:20:09.3427956Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/decompose_layernorm_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes 2025-06-05T23:20:09.3430714Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/decompose_leaky_relu_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes 2025-06-05T23:20:09.3433733Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/decompose_linalg_vector_norm_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes 2025-06-05T23:20:09.3436501Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/decompose_linear_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes 2025-06-05T23:20:09.3439184Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/decompose_meandim_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes 2025-06-05T23:20:09.3441834Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/decompose_ne_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes 2025-06-05T23:20:09.3444425Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/decompose_select.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes 2025-06-05T23:20:09.3447053Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/decompose_silu_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes 2025-06-05T23:20:09.3449741Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/decompose_softmax_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes 2025-06-05T23:20:09.3452546Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/decompose_softmax_unstable_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes 2025-06-05T23:20:09.3455303Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/decompose_sqrt_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes 2025-06-05T23:20:09.3457926Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/decompose_sum_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes 2025-06-05T23:20:09.3460564Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/decompose_var_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes 2025-06-05T23:20:09.3463287Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/fold_qdq_with_annotated_qparams_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes 2025-06-05T23:20:09.3466095Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/fuse_batchnorm2d_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes 2025-06-05T23:20:09.3468715Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/fuse_constant_ops_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes 2025-06-05T23:20:09.3471534Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/fuse_equal_placeholders_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes 2025-06-05T23:20:09.3474719Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/fuse_quantized_activation_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes 2025-06-05T23:20:09.3477447Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/insert_rescales_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes 2025-06-05T23:20:09.3480009Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/insert_table_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes 2025-06-05T23:20:09.3482596Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/match_arg_ranks_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes 2025-06-05T23:20:09.3485298Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/match_where_self_arg_dtype_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes 2025-06-05T23:20:09.3488133Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/mm_to_bmm_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes 2025-06-05T23:20:09.3490699Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/remove_clone_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes 2025-06-05T23:20:09.3493323Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/replace_inf_values_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes 2025-06-05T23:20:09.3496089Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/replace_scalar_with_tensor_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes 2025-06-05T23:20:09.3498830Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/scalars_to_attribute_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes 2025-06-05T23:20:09.3501582Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/size_adjust_conv2d_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes 2025-06-05T23:20:09.3504307Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/unsqueeze_before_repeat_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes 2025-06-05T23:20:09.3507144Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/unsqueeze_scalar_placeholders_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes 2025-06-05T23:20:09.3509230Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/operator_support 2025-06-05T23:20:09.3511311Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operator_support 2025-06-05T23:20:09.3514206Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support/convolution_support.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operator_support 2025-06-05T23:20:09.3517205Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support/ethos_u55_support.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operator_support 2025-06-05T23:20:09.3520154Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support/minmax_support.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operator_support 2025-06-05T23:20:09.3523034Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support/pool_2d_support.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operator_support 2025-06-05T23:20:09.3525997Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support/reduce_sum_support.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operator_support 2025-06-05T23:20:09.3529115Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support/right_shift_support.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operator_support 2025-06-05T23:20:09.3532050Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support/sin_cos_support.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operator_support 2025-06-05T23:20:09.3534989Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support/slice_copy_support.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operator_support 2025-06-05T23:20:09.3537924Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support/to_copy_support.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operator_support 2025-06-05T23:20:09.3541039Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support/tosa_supported_operators.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operator_support 2025-06-05T23:20:09.3543159Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/operators 2025-06-05T23:20:09.3545006Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators 2025-06-05T23:20:09.3547617Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/node_visitor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators 2025-06-05T23:20:09.3550239Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_abs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators 2025-06-05T23:20:09.3552833Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_add.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators 2025-06-05T23:20:09.3555421Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_amax.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators 2025-06-05T23:20:09.3557984Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_amin.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators 2025-06-05T23:20:09.3560519Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_any.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators 2025-06-05T23:20:09.3563104Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_avg_pool2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators 2025-06-05T23:20:09.3565671Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_bmm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators 2025-06-05T23:20:09.3568215Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_cat.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators 2025-06-05T23:20:09.3570802Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_clamp.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators 2025-06-05T23:20:09.3573613Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_constant_pad_nd.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators 2025-06-05T23:20:09.3576263Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_conv2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators 2025-06-05T23:20:09.3578895Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_cos.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators 2025-06-05T23:20:09.3581435Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_eq.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators 2025-06-05T23:20:09.3584192Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_erf.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators 2025-06-05T23:20:09.3586733Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_exp.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators 2025-06-05T23:20:09.3589274Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_ge.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators 2025-06-05T23:20:09.3591838Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_gt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators 2025-06-05T23:20:09.3594357Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_le.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators 2025-06-05T23:20:09.3597116Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_log.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators 2025-06-05T23:20:09.3599621Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_lt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators 2025-06-05T23:20:09.3602197Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_max_pool2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators 2025-06-05T23:20:09.3604842Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_maximum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators 2025-06-05T23:20:09.3607451Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_minimum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators 2025-06-05T23:20:09.3610069Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_mul.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators 2025-06-05T23:20:09.3612591Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_neg.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators 2025-06-05T23:20:09.3615170Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_permute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators 2025-06-05T23:20:09.3617745Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_pow.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators 2025-06-05T23:20:09.3620339Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_reciprocal.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators 2025-06-05T23:20:09.3623020Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_repeat.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators 2025-06-05T23:20:09.3625607Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_rescale.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators 2025-06-05T23:20:09.3628276Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_rshift_tensor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators 2025-06-05T23:20:09.3630995Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_rsqrt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators 2025-06-05T23:20:09.3633593Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_sigmoid.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators 2025-06-05T23:20:09.3636162Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_sin.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators 2025-06-05T23:20:09.3638913Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_slice.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators 2025-06-05T23:20:09.3641494Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_sub.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators 2025-06-05T23:20:09.3644016Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_sum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators 2025-06-05T23:20:09.3646594Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_table.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators 2025-06-05T23:20:09.3649165Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_tanh.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators 2025-06-05T23:20:09.3651883Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_to_copy.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators 2025-06-05T23:20:09.3654528Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_to_dim_order_copy.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators 2025-06-05T23:20:09.3657199Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_transpose.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators 2025-06-05T23:20:09.3659967Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_upsample_bilinear2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators 2025-06-05T23:20:09.3662784Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_upsample_nearest2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators 2025-06-05T23:20:09.3665496Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_view.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators 2025-06-05T23:20:09.3668048Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_where.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators 2025-06-05T23:20:09.3670884Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/operator_validation_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators 2025-06-05T23:20:09.3673802Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/ops_binary.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators 2025-06-05T23:20:09.3676449Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/ops_identity.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators 2025-06-05T23:20:09.3679129Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/ops_unary.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators 2025-06-05T23:20:09.3680970Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/quantizer 2025-06-05T23:20:09.3682796Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/quantizer 2025-06-05T23:20:09.3685399Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer/arm_quantizer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/quantizer 2025-06-05T23:20:09.3688132Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer/arm_quantizer_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/quantizer 2025-06-05T23:20:09.3690969Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer/quantization_annotator.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/quantizer 2025-06-05T23:20:09.3694081Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer/quantization_config.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/quantizer 2025-06-05T23:20:09.3696050Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/scripts 2025-06-05T23:20:09.3697919Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/scripts/parse_test_names.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/scripts 2025-06-05T23:20:09.3699749Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test 2025-06-05T23:20:09.3701462Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/common.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test 2025-06-05T23:20:09.3703854Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/conftest.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test 2025-06-05T23:20:09.3706512Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/runner_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test 2025-06-05T23:20:09.3708980Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/test_model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test 2025-06-05T23:20:09.3710743Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/misc 2025-06-05T23:20:09.3712793Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc/test_bn_relu_folding_qat.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/misc 2025-06-05T23:20:09.3715579Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc/test_custom_partition.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/misc 2025-06-05T23:20:09.3718350Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc/test_debug_feats.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/misc 2025-06-05T23:20:09.3721118Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc/test_dim_order_guards.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/misc 2025-06-05T23:20:09.3723896Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc/test_lifted_tensor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/misc 2025-06-05T23:20:09.3726646Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc/test_model_evaluator.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/misc 2025-06-05T23:20:09.3729490Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc/test_multiple_delegates.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/misc 2025-06-05T23:20:09.3732308Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc/test_multiple_outputs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/misc 2025-06-05T23:20:09.3735188Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc/test_non_persistent_buffers.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/misc 2025-06-05T23:20:09.3738204Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc/test_partition_decomposed_quantized_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/misc 2025-06-05T23:20:09.3741111Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc/test_tosa_spec.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/misc 2025-06-05T23:20:09.3743020Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/models 2025-06-05T23:20:09.3744986Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models/test_conformer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/models 2025-06-05T23:20:09.3747918Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models/test_deit_tiny_arm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/models 2025-06-05T23:20:09.3750655Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models/test_dl3_arm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/models 2025-06-05T23:20:09.3753492Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models/test_llama.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/models 2025-06-05T23:20:09.3756204Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models/test_lstm_arm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/models 2025-06-05T23:20:09.3759028Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models/test_mobilenet_v2_arm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/models 2025-06-05T23:20:09.3762038Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models/test_mobilenet_v3_arm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/models 2025-06-05T23:20:09.3764884Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models/test_nn_functional.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/models 2025-06-05T23:20:09.3767685Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models/test_nn_modules.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/models 2025-06-05T23:20:09.3770532Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models/test_torch_functions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/models 2025-06-05T23:20:09.3773448Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models/test_w2l_arm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/models 2025-06-05T23:20:09.3775369Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/ops 2025-06-05T23:20:09.3777213Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_abs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3779730Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_add.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3782342Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_alias_copy.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3784940Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_amax.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3787496Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_amin.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3790081Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_any.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3792687Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_arange.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3795246Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_at.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3797848Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_avg_pool2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3800480Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_batch_norm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3803371Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_bitwise.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3805937Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_bmm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3808453Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_cat.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3811029Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_clamp.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3813605Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_clone.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3816470Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_constant_pad_nd.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3819110Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_conv1d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3821683Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_conv2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3824287Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_conv3d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3826917Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_conv_combos.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3829654Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_conv_constant_pad_nd.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3832396Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_cos.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3835090Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_depthwise_conv.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3837743Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_div.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3840247Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_eq.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3842777Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_erf.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3845346Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_exp.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3847884Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_expand.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3850463Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_eye.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3853015Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_full.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3855523Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_ge.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3858249Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_gelu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3860852Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_group_norm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3863433Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_gt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3866063Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_hardsigmoid.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3868752Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_hardswish.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3871630Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_hardtanh.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3874413Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_layer_norm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3876981Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_le.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3879567Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_leaky_relu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3882282Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_linalg_vector_norm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3885014Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_linear.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3887571Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_log.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3890144Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_logical.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3892807Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_logsoftmax.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3895401Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_lshift.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3897954Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_lt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3900530Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_matmul.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3903142Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_max_pool.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3905774Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_maximum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3908398Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_mean_dim.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3911082Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_minimum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3913879Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_mm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3916377Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_mul.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3918888Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_ne.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3921432Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_neg.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3923956Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_ones.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3926733Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_permute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3929316Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_pow.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3931923Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_reciprocal.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3934555Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_relu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3937132Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_repeat.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3939722Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_rshift.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3942332Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_rsqrt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3944958Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_scalar_tensor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3947611Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_scalars.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3950216Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_sdpa.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3952874Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_select.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3955497Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_sigmoid.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3958168Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_sigmoid_16bit.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3960853Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_sigmoid_32bit.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3963488Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_silu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3966062Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_sin.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3968780Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_slice.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3971396Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_softmax.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3974154Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_split.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3976701Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_sqrt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3979300Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_squeeze.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3982112Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_sub.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3984632Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_sum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3987198Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_tanh.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3989765Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_to_copy.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3992427Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_unary.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3995081Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_unsqueeze.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.3997808Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_upsample_bilinear2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.4000653Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_upsample_nearest2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.4003332Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_var.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.4005862Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_view.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.4008463Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_where.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.4037079Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_zeros.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops 2025-06-05T23:20:09.4039195Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/passes 2025-06-05T23:20:09.4041243Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_broadcast_args_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes 2025-06-05T23:20:09.4044162Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_cast_int64_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes 2025-06-05T23:20:09.4047115Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_convert_expand_copy_to_repeat.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes 2025-06-05T23:20:09.4050420Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_convert_int_pow_to_muls.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes 2025-06-05T23:20:09.4053393Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_convert_split_to_slice.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes 2025-06-05T23:20:09.4056334Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_convert_to_clamp.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes 2025-06-05T23:20:09.4059373Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_decompose_cosine_similarity_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes 2025-06-05T23:20:09.4062531Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_decompose_div_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes 2025-06-05T23:20:09.4065548Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_decompose_layernorm_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes 2025-06-05T23:20:09.4068621Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_decompose_linalg_vector_norm_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes 2025-06-05T23:20:09.4071786Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_decompose_meandim_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes 2025-06-05T23:20:09.4074955Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_decompose_softmax_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes 2025-06-05T23:20:09.4077915Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_decompose_var_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes 2025-06-05T23:20:09.4080766Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_fold_qdq_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes 2025-06-05T23:20:09.4083653Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_fuse_batchnorm_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes 2025-06-05T23:20:09.4086595Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_fuse_constant_ops_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes 2025-06-05T23:20:09.4089628Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_fuse_equal_placeholders_ops_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes 2025-06-05T23:20:09.4092707Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_insert_table_ops_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes 2025-06-05T23:20:09.4095656Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_ioquantization_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes 2025-06-05T23:20:09.4098593Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_remove_clone_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes 2025-06-05T23:20:09.4101461Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_rescale_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes 2025-06-05T23:20:09.4104437Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_unsqueeze_before_repeat_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes 2025-06-05T23:20:09.4106792Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/quantizer 2025-06-05T23:20:09.4108926Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/quantizer/test_generic_annotater.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/quantizer 2025-06-05T23:20:09.4111089Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/tester 2025-06-05T23:20:09.4112938Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tester/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/tester 2025-06-05T23:20:09.4115708Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tester/analyze_output_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/tester 2025-06-05T23:20:09.4118485Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tester/arm_tester.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/tester 2025-06-05T23:20:09.4121462Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tester/test_pipeline.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/tester 2025-06-05T23:20:09.4123444Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/tosautil 2025-06-05T23:20:09.4125364Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tosautil/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/tosautil 2025-06-05T23:20:09.4127254Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/util 2025-06-05T23:20:09.4129068Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/util/arm_model_evaluator.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/util 2025-06-05T23:20:09.4130926Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party 2025-06-05T23:20:09.4132248Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib 2025-06-05T23:20:09.4134607Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/setup.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib 2025-06-05T23:20:09.4137066Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/python 2025-06-05T23:20:09.4138749Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/python/serializer 2025-06-05T23:20:09.4141625Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/serializer/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/serializer 2025-06-05T23:20:09.4145675Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/serializer/tosa_serializer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/serializer 2025-06-05T23:20:09.4148625Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:09.4151702Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/ArithmeticRightShiftAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:09.4155782Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/Attribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:09.4159634Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/AxisAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:09.4163702Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/ClampAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:09.4167661Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/CondIfAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:09.4171603Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/ConvAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:09.4175696Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/CustomAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:09.4179748Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/DType.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:09.4183538Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/FFTAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:09.4187566Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/FullyConnectedAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:09.4191678Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/MatMulAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:09.4195610Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/MulAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:09.4199480Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/NegateAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:09.4203267Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/Op.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:09.4207033Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/PadAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:09.4210948Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/PoolAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:09.4214840Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/RFFTAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:09.4218773Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/RescaleAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:09.4222971Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/ReshapeAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:09.4226908Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/ResizeAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:09.4230799Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/ResizeMode.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:09.4234743Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/SliceAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:09.4238826Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/TableAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:09.4242734Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/TileAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:09.4246650Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaBasicBlock.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:09.4250521Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaGraph.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:09.4254469Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaOperator.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:09.4258282Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaRegion.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:09.4262084Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaTensor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:09.4266013Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/TransposeAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:09.4270134Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/TransposeConvAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:09.4274266Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/Version.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:09.4278154Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/WhileLoopAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:09.4282015Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-06-05T23:20:09.4284895Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/test 2025-06-05T23:20:09.4286563Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/test/scripts 2025-06-05T23:20:09.4289351Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/test/scripts/test_npy_fileio.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/test/scripts 2025-06-05T23:20:09.4292216Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/test/scripts/xunit 2025-06-05T23:20:09.4295119Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/test/scripts/xunit/xunit.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/test/scripts/xunit 2025-06-05T23:20:09.4298162Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party 2025-06-05T23:20:09.4299988Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers 2025-06-05T23:20:09.4303044Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/conanfile.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers 2025-06-05T23:20:09.4306178Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/conan 2025-06-05T23:20:09.4309371Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/conan/build.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/conan 2025-06-05T23:20:09.4312803Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/conan/test_package 2025-06-05T23:20:09.4316410Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/conan/test_package/conanfile.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/conan/test_package 2025-06-05T23:20:09.4319893Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens 2025-06-05T23:20:09.4323246Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/generate_goldens.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens 2025-06-05T23:20:09.4327839Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/golden_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens 2025-06-05T23:20:09.4331206Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/cpp 2025-06-05T23:20:09.4334652Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/cpp/generate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/cpp 2025-06-05T23:20:09.4338119Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/csharp 2025-06-05T23:20:09.4341611Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/csharp/generate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/csharp 2025-06-05T23:20:09.4345298Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/dart 2025-06-05T23:20:09.4348757Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/dart/generate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/dart 2025-06-05T23:20:09.4352271Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/go 2025-06-05T23:20:09.4355690Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/go/generate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/go 2025-06-05T23:20:09.4359266Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/java 2025-06-05T23:20:09.4362680Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/java/generate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/java 2025-06-05T23:20:09.4366149Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/kotlin 2025-06-05T23:20:09.4369682Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/kotlin/generate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/kotlin 2025-06-05T23:20:09.4373358Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/lobster 2025-06-05T23:20:09.4376911Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/lobster/generate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/lobster 2025-06-05T23:20:09.4380429Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/lua 2025-06-05T23:20:09.4383816Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/lua/generate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/lua 2025-06-05T23:20:09.4387207Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/nim 2025-06-05T23:20:09.4390670Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/nim/generate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/nim 2025-06-05T23:20:09.4394142Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/php 2025-06-05T23:20:09.4397575Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/php/generate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/php 2025-06-05T23:20:09.4401013Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py 2025-06-05T23:20:09.4404626Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py/Galaxy.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py 2025-06-05T23:20:09.4409246Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py/Universe.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py 2025-06-05T23:20:09.4413863Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py 2025-06-05T23:20:09.4418463Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py/generate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py 2025-06-05T23:20:09.4422086Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/rust 2025-06-05T23:20:09.4425537Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/rust/generate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/rust 2025-06-05T23:20:09.4429000Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/swift 2025-06-05T23:20:09.4432539Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/swift/generate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/swift 2025-06-05T23:20:09.4436039Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/ts 2025-06-05T23:20:09.4439393Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/ts/generate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/ts 2025-06-05T23:20:09.4442815Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/schema 2025-06-05T23:20:09.4446290Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/schema/basic.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/schema 2025-06-05T23:20:09.4449743Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python 2025-06-05T23:20:09.4452981Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python 2025-06-05T23:20:09.4457386Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/setup.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python 2025-06-05T23:20:09.4460741Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers 2025-06-05T23:20:09.4464478Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers 2025-06-05T23:20:09.4469370Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/_version.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers 2025-06-05T23:20:09.4474530Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/builder.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers 2025-06-05T23:20:09.4479463Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/compat.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers 2025-06-05T23:20:09.4484606Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/encode.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers 2025-06-05T23:20:09.4489589Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/flexbuffers.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers 2025-06-05T23:20:09.4494609Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/number_types.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers 2025-06-05T23:20:09.4499537Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/packer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers 2025-06-05T23:20:09.4504448Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/table.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers 2025-06-05T23:20:09.4509329Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/util.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers 2025-06-05T23:20:09.4513118Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection 2025-06-05T23:20:09.4517159Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/AdvancedFeatures.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection 2025-06-05T23:20:09.4522688Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/BaseType.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection 2025-06-05T23:20:09.4528279Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/Enum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection 2025-06-05T23:20:09.4533625Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/EnumVal.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection 2025-06-05T23:20:09.4539018Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/Field.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection 2025-06-05T23:20:09.4544395Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/KeyValue.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection 2025-06-05T23:20:09.4549920Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/Object.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection 2025-06-05T23:20:09.4555372Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/RPCCall.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection 2025-06-05T23:20:09.4560772Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/Schema.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection 2025-06-05T23:20:09.4566189Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/SchemaFile.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection 2025-06-05T23:20:09.4571613Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/Service.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection 2025-06-05T23:20:09.4577162Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/Type.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection 2025-06-05T23:20:09.4582495Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection 2025-06-05T23:20:09.4587351Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/py.typed -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python 2025-06-05T23:20:09.4590529Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/samples 2025-06-05T23:20:09.4594179Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/samples/sample_binary.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/samples 2025-06-05T23:20:09.4598742Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/samples/monster.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/samples 2025-06-05T23:20:09.4602026Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts 2025-06-05T23:20:09.4605383Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts/check_generate_code.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts 2025-06-05T23:20:09.4610198Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts/generate_code.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts 2025-06-05T23:20:09.4614813Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts/generate_grpc_examples.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts 2025-06-05T23:20:09.4619397Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts/util.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts 2025-06-05T23:20:09.4624013Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts/check-grpc-generated-code.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts 2025-06-05T23:20:09.4627465Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T23:20:09.4630794Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/monster_test_generated.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T23:20:09.4635482Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/py_flexbuffers_test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T23:20:09.4639956Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/py_test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T23:20:09.4643214Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame 2025-06-05T23:20:09.4646782Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/InParentNamespace.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame 2025-06-05T23:20:09.4651661Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/MonsterExtra.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame 2025-06-05T23:20:09.4656502Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame 2025-06-05T23:20:09.4659985Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T23:20:09.4663662Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Ability.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T23:20:09.4668589Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Any.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T23:20:09.4674184Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/AnyAmbiguousAliases.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T23:20:09.4679428Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/AnyUniqueAliases.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T23:20:09.4684601Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/ArrayStruct.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T23:20:09.4689734Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/ArrayTable.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T23:20:09.4694747Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Color.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T23:20:09.4699731Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/LongEnum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T23:20:09.4704737Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Monster.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T23:20:09.4709821Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedStruct.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T23:20:09.4714955Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Race.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T23:20:09.4720253Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Referrable.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T23:20:09.4725263Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Stat.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T23:20:09.4730335Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/StructOfStructs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T23:20:09.4735876Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/StructOfStructsOfStructs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T23:20:09.4741101Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T23:20:09.4746074Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/TestEnum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T23:20:09.4751364Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/TestSimpleTableWithEnum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T23:20:09.4756595Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/TypeAliases.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T23:20:09.4761645Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Vec3.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T23:20:09.4766585Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T23:20:09.4771641Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/monster_test_grpc_fb.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example 2025-06-05T23:20:09.4775687Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion 2025-06-05T23:20:09.4779668Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/Any.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion 2025-06-05T23:20:09.4785329Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/Color.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion 2025-06-05T23:20:09.4791028Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/NestedUnionTest.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion 2025-06-05T23:20:09.4796609Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/Test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion 2025-06-05T23:20:09.4802510Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/TestSimpleTableWithEnum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion 2025-06-05T23:20:09.4808211Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/Vec3.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion 2025-06-05T23:20:09.4813636Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion 2025-06-05T23:20:09.4817561Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example2 2025-06-05T23:20:09.4821269Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example2/Monster.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example2 2025-06-05T23:20:09.4826256Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example2/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example2 2025-06-05T23:20:09.4829937Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/annotated_binary 2025-06-05T23:20:09.4833799Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/annotated_binary/generate_annotations.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/annotated_binary 2025-06-05T23:20:09.4839038Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/annotated_binary/annotated_binary.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/annotated_binary 2025-06-05T23:20:09.4844246Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/annotated_binary/annotated_binary_old.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/annotated_binary 2025-06-05T23:20:09.4848117Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc 2025-06-05T23:20:09.4851585Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/flatc_cpp_tests.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc 2025-06-05T23:20:09.4853875Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/flatc_kotlin_tests.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc 2025-06-05T23:20:09.4856167Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/flatc_schema_tests.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc 2025-06-05T23:20:09.4858561Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/flatc_test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc 2025-06-05T23:20:09.4860797Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/flatc_ts_tests.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc 2025-06-05T23:20:09.4862987Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/main.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc 2025-06-05T23:20:09.4865314Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/enum_val_attributes.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc 2025-06-05T23:20:09.4867498Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/foo.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc 2025-06-05T23:20:09.4869739Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/foo_with_ns.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc 2025-06-05T23:20:09.4870756Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar 2025-06-05T23:20:09.4873259Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar/bar.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar 2025-06-05T23:20:09.4875558Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar/bar_with_foo.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar 2025-06-05T23:20:09.4877839Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar/bar_with_ns.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar 2025-06-05T23:20:09.4879136Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar/baz 2025-06-05T23:20:09.4881417Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar/baz/baz.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar/baz 2025-06-05T23:20:09.4883794Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar/baz/baz_with_ns.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar/baz 2025-06-05T23:20:09.4884766Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nim 2025-06-05T23:20:09.4887136Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nim/testnim.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nim 2025-06-05T23:20:09.4888238Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/optional_scalars 2025-06-05T23:20:09.4890687Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/optional_scalars/OptionalByte.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/optional_scalars 2025-06-05T23:20:09.4893135Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/optional_scalars/ScalarStuff.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/optional_scalars 2025-06-05T23:20:09.4895535Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/optional_scalars/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/optional_scalars 2025-06-05T23:20:09.4896474Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts 2025-06-05T23:20:09.4898726Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/TypeScriptTest.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts 2025-06-05T23:20:09.4901002Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/typescript_keywords.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts 2025-06-05T23:20:09.4902154Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/arrays_test_complex 2025-06-05T23:20:09.4904745Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/arrays_test_complex/arrays_test_complex.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/arrays_test_complex 2025-06-05T23:20:09.4905922Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/bazel_repository_test_dir 2025-06-05T23:20:09.4908614Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/bazel_repository_test_dir/one.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/bazel_repository_test_dir 2025-06-05T23:20:09.4911329Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/bazel_repository_test_dir/pnpm-lock.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/bazel_repository_test_dir 2025-06-05T23:20:09.4913897Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/bazel_repository_test_dir/two.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/bazel_repository_test_dir 2025-06-05T23:20:09.4914944Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/test_dir 2025-06-05T23:20:09.4917523Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/test_dir/typescript_include.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/test_dir 2025-06-05T23:20:09.4920039Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/test_dir/typescript_transitive_include.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/test_dir 2025-06-05T23:20:09.4921110Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test 2025-06-05T23:20:09.4922269Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA 2025-06-05T23:20:09.4924933Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/SecondTableInA.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA 2025-06-05T23:20:09.4927529Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/TableInC.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA 2025-06-05T23:20:09.4930200Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/TableInFirstNS.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA 2025-06-05T23:20:09.4932736Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA 2025-06-05T23:20:09.4934018Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB 2025-06-05T23:20:09.4936910Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB/EnumInNestedNS.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB 2025-06-05T23:20:09.4939964Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB/StructInNestedNS.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB 2025-06-05T23:20:09.4942875Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB/TableInNestedNS.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB 2025-06-05T23:20:09.4945767Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB/UnionInNestedNS.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB 2025-06-05T23:20:09.4948688Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB 2025-06-05T23:20:09.4949839Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceC 2025-06-05T23:20:09.4952510Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceC/TableInC.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceC 2025-06-05T23:20:09.4955074Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceC/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceC 2025-06-05T23:20:09.4957513Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/namespace_test1.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test 2025-06-05T23:20:09.4959977Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/namespace_test2.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test 2025-06-05T23:20:09.4962148Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MutatingBool.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T23:20:09.4964316Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/alignment_test.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T23:20:09.4966445Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/arrays_test.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T23:20:09.4968648Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/dictionary_lookup.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T23:20:09.4970962Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/included_test.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T23:20:09.4973259Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/includer_test.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T23:20:09.4975395Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/keyword_test.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T23:20:09.4977727Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/monster_extra.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T23:20:09.4979847Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/monster_test.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T23:20:09.4982004Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/more_defaults.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T23:20:09.4984109Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nan_inf_test.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T23:20:09.4986328Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/native_inline_table_test.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T23:20:09.4988444Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/native_type_test.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T23:20:09.4990595Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nested_union_test.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T23:20:09.4992872Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/optional_scalars.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T23:20:09.4995111Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/private_annotation_test.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T23:20:09.4997314Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/required_strings.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T23:20:09.4999694Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/rust_namer_test.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T23:20:09.5001759Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/test.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T23:20:09.5003960Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/type_field_collsion.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T23:20:09.5006206Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/union_underlying_type_test.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T23:20:09.5008580Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/union_value_collision.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T23:20:09.5010738Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/vector_has_test.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests 2025-06-05T23:20:09.5011701Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/64bit 2025-06-05T23:20:09.5013946Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/64bit/test_64bit.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/64bit 2025-06-05T23:20:09.5015019Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/64bit/evolution 2025-06-05T23:20:09.5017405Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/64bit/evolution/v1.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/64bit/evolution 2025-06-05T23:20:09.5019781Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/64bit/evolution/v2.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/64bit/evolution 2025-06-05T23:20:09.5020843Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/evolution_test 2025-06-05T23:20:09.5023462Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/evolution_test/evolution_v1.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/evolution_test 2025-06-05T23:20:09.5025866Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/evolution_test/evolution_v2.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/evolution_test 2025-06-05T23:20:09.5026927Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test 2025-06-05T23:20:09.5029440Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test/include_test1.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test 2025-06-05T23:20:09.5031808Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test/order.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test 2025-06-05T23:20:09.5032923Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test/sub 2025-06-05T23:20:09.5035360Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test/sub/include_test2.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test/sub 2025-06-05T23:20:09.5037940Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test/sub/no_namespace.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test/sub 2025-06-05T23:20:09.5038973Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/key_field 2025-06-05T23:20:09.5041283Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/key_field/key_field_sample.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/key_field 2025-06-05T23:20:09.5042378Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/minified_enums 2025-06-05T23:20:09.5044739Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/minified_enums/enums.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/minified_enums 2025-06-05T23:20:09.5045816Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test 2025-06-05T23:20:09.5048234Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test/invalid_test1.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test 2025-06-05T23:20:09.5050651Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test/invalid_test2.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test 2025-06-05T23:20:09.5053076Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test/valid_test1.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test 2025-06-05T23:20:09.5055457Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test/valid_test2.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test 2025-06-05T23:20:09.5056586Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nested_namespace_test 2025-06-05T23:20:09.5059339Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nested_namespace_test/nested_namespace_test1.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nested_namespace_test 2025-06-05T23:20:09.5061939Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nested_namespace_test/nested_namespace_test2.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nested_namespace_test 2025-06-05T23:20:09.5064570Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nested_namespace_test/nested_namespace_test3.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nested_namespace_test 2025-06-05T23:20:09.5065660Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest 2025-06-05T23:20:09.5067994Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test.golden.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest 2025-06-05T23:20:09.5070354Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_id.golden.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest 2025-06-05T23:20:09.5073082Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_include.golden.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest 2025-06-05T23:20:09.5075531Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_include_id.golden.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest 2025-06-05T23:20:09.5077934Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_suffix.golden.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest 2025-06-05T23:20:09.5080319Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_suffix_id.golden.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest 2025-06-05T23:20:09.5082722Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_union.golden.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest 2025-06-05T23:20:09.5085128Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_union_id.golden.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest 2025-06-05T23:20:09.5087598Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_union_include.golden.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest 2025-06-05T23:20:09.5090265Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_union_include_id.golden.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest 2025-06-05T23:20:09.5092718Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_union_suffix.golden.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest 2025-06-05T23:20:09.5095172Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_union_suffix_id.golden.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest 2025-06-05T23:20:09.5096368Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/union_vector 2025-06-05T23:20:09.5098747Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/union_vector/union_vector.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/union_vector 2025-06-05T23:20:09.5099721Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/swift 2025-06-05T23:20:09.5100762Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/swift/tests 2025-06-05T23:20:09.5101978Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/swift/tests/CodeGenerationTests 2025-06-05T23:20:09.5104803Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/swift/tests/CodeGenerationTests/test_import.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/swift/tests/CodeGenerationTests 2025-06-05T23:20:09.5107621Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/swift/tests/CodeGenerationTests/test_no_include.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/swift/tests/CodeGenerationTests 2025-06-05T23:20:09.5108731Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/swift/tests/Sources 2025-06-05T23:20:09.5110006Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/swift/tests/Sources/SwiftFlatBuffers 2025-06-05T23:20:09.5112951Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/swift/tests/Sources/SwiftFlatBuffers/fuzzer.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/swift/tests/Sources/SwiftFlatBuffers 2025-06-05T23:20:09.5113876Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc 2025-06-05T23:20:09.5114830Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/tests 2025-06-05T23:20:09.5117063Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/tests/grpctest.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/tests 2025-06-05T23:20:09.5118240Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples 2025-06-05T23:20:09.5119302Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python 2025-06-05T23:20:09.5120433Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter 2025-06-05T23:20:09.5122973Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/client.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter 2025-06-05T23:20:09.5125564Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/server.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter 2025-06-05T23:20:09.5126864Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models 2025-06-05T23:20:09.5129627Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models/HelloReply.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models 2025-06-05T23:20:09.5132350Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models/HelloRequest.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models 2025-06-05T23:20:09.5135052Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models 2025-06-05T23:20:09.5137818Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models/greeter_grpc_fb.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models 2025-06-05T23:20:09.5140089Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/greeter.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples 2025-06-05T23:20:09.5141130Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/samples 2025-06-05T23:20:09.5142172Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/samples/greeter 2025-06-05T23:20:09.5144581Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/samples/greeter/greeter.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/samples/greeter 2025-06-05T23:20:09.5145492Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java 2025-06-05T23:20:09.5146447Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src 2025-06-05T23:20:09.5147549Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test 2025-06-05T23:20:09.5148612Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java 2025-06-05T23:20:09.5149676Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame 2025-06-05T23:20:09.5152386Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/InParentNamespace.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame 2025-06-05T23:20:09.5154964Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/MonsterExtra.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame 2025-06-05T23:20:09.5157532Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame 2025-06-05T23:20:09.5158722Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T23:20:09.5161402Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Ability.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T23:20:09.5164029Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Any.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T23:20:09.5166884Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/AnyAmbiguousAliases.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T23:20:09.5169682Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/AnyUniqueAliases.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T23:20:09.5172445Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/ArrayStruct.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T23:20:09.5175313Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/ArrayTable.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T23:20:09.5177968Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Color.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T23:20:09.5180873Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/LongEnum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T23:20:09.5183533Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Monster.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T23:20:09.5186321Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedStruct.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T23:20:09.5189100Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Race.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T23:20:09.5191915Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Referrable.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T23:20:09.5194515Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Stat.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T23:20:09.5197308Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/StructOfStructs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T23:20:09.5200201Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/StructOfStructsOfStructs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T23:20:09.5202845Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T23:20:09.5205548Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/TestEnum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T23:20:09.5208466Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/TestSimpleTableWithEnum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T23:20:09.5211331Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/TypeAliases.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T23:20:09.5213983Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Vec3.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T23:20:09.5216609Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T23:20:09.5219504Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/monster_test_grpc_fb.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example 2025-06-05T23:20:09.5220808Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion 2025-06-05T23:20:09.5223722Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion/Any.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion 2025-06-05T23:20:09.5226660Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion/Color.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion 2025-06-05T23:20:09.5229738Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion/NestedUnionTest.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion 2025-06-05T23:20:09.5232739Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion/Test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion 2025-06-05T23:20:09.5235919Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion/TestSimpleTableWithEnum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion 2025-06-05T23:20:09.5238827Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion/Vec3.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion 2025-06-05T23:20:09.5241750Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion 2025-06-05T23:20:09.5243092Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example2 2025-06-05T23:20:09.5245821Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example2/Monster.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example2 2025-06-05T23:20:09.5248466Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example2/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example2 2025-06-05T23:20:09.5250258Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA 2025-06-05T23:20:09.5252925Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/SecondTableInA.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA 2025-06-05T23:20:09.5255537Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/TableInC.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA 2025-06-05T23:20:09.5258224Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/TableInFirstNS.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA 2025-06-05T23:20:09.5260783Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA 2025-06-05T23:20:09.5262030Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB 2025-06-05T23:20:09.5264953Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB/EnumInNestedNS.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB 2025-06-05T23:20:09.5267864Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB/StructInNestedNS.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB 2025-06-05T23:20:09.5270900Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB/TableInNestedNS.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB 2025-06-05T23:20:09.5274064Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB/UnionInNestedNS.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB 2025-06-05T23:20:09.5277065Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB 2025-06-05T23:20:09.5278222Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceC 2025-06-05T23:20:09.5280817Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceC/TableInC.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceC 2025-06-05T23:20:09.5283520Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceC/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceC 2025-06-05T23:20:09.5284700Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/optional_scalars 2025-06-05T23:20:09.5287440Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/optional_scalars/OptionalByte.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/optional_scalars 2025-06-05T23:20:09.5290144Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/optional_scalars/ScalarStuff.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/optional_scalars 2025-06-05T23:20:09.5292814Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/optional_scalars/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/optional_scalars 2025-06-05T23:20:09.5293957Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/union_vector 2025-06-05T23:20:09.5296599Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/union_vector/union_vector.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/union_vector 2025-06-05T23:20:09.5298643Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/pnpm-lock.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers 2025-06-05T23:20:09.5299541Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart 2025-06-05T23:20:09.5301702Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/analysis_options.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart 2025-06-05T23:20:09.5303798Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/pubspec.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart 2025-06-05T23:20:09.5305029Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/test 2025-06-05T23:20:09.5307240Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/test/bool_structs.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/test 2025-06-05T23:20:09.5309449Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/test/list_of_enums.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/test 2025-06-05T23:20:09.5311741Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/test/monster_test.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/test 2025-06-05T23:20:09.5312846Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/reflection 2025-06-05T23:20:09.5315099Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/reflection/reflection.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/reflection 2025-06-05T23:20:09.5316015Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/snap 2025-06-05T23:20:09.5318137Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/snap/snapcraft.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/snap 2025-06-05T23:20:09.5319093Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/android 2025-06-05T23:20:09.5320063Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/android/app 2025-06-05T23:20:09.5321081Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/android/app/src 2025-06-05T23:20:09.5322126Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/android/app/src/main 2025-06-05T23:20:09.5323231Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/android/app/src/main/fbs 2025-06-05T23:20:09.5325687Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/android/app/src/main/fbs/animal.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/android/app/src/main/fbs 2025-06-05T23:20:09.5326683Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/benchmarks 2025-06-05T23:20:09.5327681Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/benchmarks/cpp 2025-06-05T23:20:09.5328795Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/benchmarks/cpp/flatbuffers 2025-06-05T23:20:09.5331275Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/benchmarks/cpp/flatbuffers/bench.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/benchmarks/cpp/flatbuffers 2025-06-05T23:20:09.5332263Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/examples 2025-06-05T23:20:09.5333392Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/examples/go-echo 2025-06-05T23:20:09.5335669Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/examples/go-echo/hero.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/examples/go-echo 2025-06-05T23:20:09.5337889Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/examples/go-echo/net.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/examples/go-echo 2025-06-05T23:20:09.5338580Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/schema 2025-06-05T23:20:09.5340383Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/schema/tosa.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/schema 2025-06-05T23:20:09.5340806Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/tosa 2025-06-05T23:20:09.5341273Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/tosa/schemas 2025-06-05T23:20:09.5342515Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/tosa/schemas/tosa_0.80.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/tosa/schemas 2025-06-05T23:20:09.5343761Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/tosa/schemas/tosa_1.0.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/tosa/schemas 2025-06-05T23:20:09.5344168Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/example 2025-06-05T23:20:09.5345357Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_backend.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/example 2025-06-05T23:20:09.5346569Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/example 2025-06-05T23:20:09.5347730Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_quantizer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/example 2025-06-05T23:20:09.5348936Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/test_example_delegate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/example 2025-06-05T23:20:09.5349628Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/example/example_backend_delegate_passes 2025-06-05T23:20:09.5351404Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_backend_delegate_passes/merge_to_dim_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/example/example_backend_delegate_passes 2025-06-05T23:20:09.5353217Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_backend_delegate_passes/permute_memory_formats_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/example/example_backend_delegate_passes 2025-06-05T23:20:09.5353789Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/example/example_operators 2025-06-05T23:20:09.5355285Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators/adaptive_avg_pool2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/example/example_operators 2025-06-05T23:20:09.5356663Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators/add.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/example/example_operators 2025-06-05T23:20:09.5358064Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators/conv2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/example/example_operators 2025-06-05T23:20:09.5359533Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators/conv_relu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/example/example_operators 2025-06-05T23:20:09.5360923Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators/dropout.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/example/example_operators 2025-06-05T23:20:09.5362344Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators/flatten.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/example/example_operators 2025-06-05T23:20:09.5363717Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators/linear.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/example/example_operators 2025-06-05T23:20:09.5365206Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators/op_base.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/example/example_operators 2025-06-05T23:20:09.5366553Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators/ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/example/example_operators 2025-06-05T23:20:09.5367932Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/example/example_operators 2025-06-05T23:20:09.5368355Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/mediatek 2025-06-05T23:20:09.5369433Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/mediatek 2025-06-05T23:20:09.5370567Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/mediatek 2025-06-05T23:20:09.5371752Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/preprocess.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/mediatek 2025-06-05T23:20:09.5372206Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/mediatek/_passes 2025-06-05T23:20:09.5373598Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/_passes/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/mediatek/_passes 2025-06-05T23:20:09.5375069Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/_passes/decompose_scaled_dot_product_attention.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/mediatek/_passes 2025-06-05T23:20:09.5375565Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/mediatek/quantizer 2025-06-05T23:20:09.5376818Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/quantizer/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/mediatek/quantizer 2025-06-05T23:20:09.5378180Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/quantizer/annotator.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/mediatek/quantizer 2025-06-05T23:20:09.5379485Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/quantizer/qconfig.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/mediatek/quantizer 2025-06-05T23:20:09.5380783Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/quantizer/quantizer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/mediatek/quantizer 2025-06-05T23:20:09.5381175Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/nxp 2025-06-05T23:20:09.5382292Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/neutron_node_extraction.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp 2025-06-05T23:20:09.5383425Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/neutron_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp 2025-06-05T23:20:09.5384793Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/neutron_pass_manager.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp 2025-06-05T23:20:09.5385797Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/nxp_backend.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp 2025-06-05T23:20:09.5386253Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/nxp/aten_passes 2025-06-05T23:20:09.5387613Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/aten_passes/fuse_batch_norm_with_conv_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/aten_passes 2025-06-05T23:20:09.5388982Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/aten_passes/fuse_batch_norm_with_linear_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/aten_passes 2025-06-05T23:20:09.5390488Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/aten_passes/neutron_aten_pass_manager.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/aten_passes 2025-06-05T23:20:09.5390990Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/nxp/backend 2025-06-05T23:20:09.5392133Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/edge_helper.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend 2025-06-05T23:20:09.5393429Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/edge_program_converter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend 2025-06-05T23:20:09.5394740Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/neutron_converter_manager.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend 2025-06-05T23:20:09.5396004Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/node_format_inference.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend 2025-06-05T23:20:09.5396491Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/nxp/backend/ir 2025-06-05T23:20:09.5397775Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/conversion_config.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir 2025-06-05T23:20:09.5399088Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/conversion_context.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir 2025-06-05T23:20:09.5400299Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/logger.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir 2025-06-05T23:20:09.5401582Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tensor_formatting.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir 2025-06-05T23:20:09.5402141Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/nxp/backend/ir/converter 2025-06-05T23:20:09.5403517Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/converter 2025-06-05T23:20:09.5404981Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/converter 2025-06-05T23:20:09.5406519Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/quantization_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/converter 2025-06-05T23:20:09.5407992Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/tensor_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/converter 2025-06-05T23:20:09.5408613Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/nxp/backend/ir/converter/builder 2025-06-05T23:20:09.5410284Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/builder/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/converter/builder 2025-06-05T23:20:09.5412039Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/builder/aten_model_builder_director.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/converter/builder 2025-06-05T23:20:09.5413660Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/builder/model_builder.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/converter/builder 2025-06-05T23:20:09.5415439Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/builder/quantization_verification.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/converter/builder 2025-06-05T23:20:09.5416209Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/nxp/backend/ir/converter/conversion 2025-06-05T23:20:09.5417812Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/conversion/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/converter/conversion 2025-06-05T23:20:09.5421398Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/conversion/aten_translator.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/converter/conversion 2025-06-05T23:20:09.5424995Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/conversion/common.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/converter/conversion 2025-06-05T23:20:09.5428556Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/conversion/translator.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/converter/conversion 2025-06-05T23:20:09.5431344Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/nxp/backend/ir/converter/node_converters 2025-06-05T23:20:09.5433971Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/converter/node_converters 2025-06-05T23:20:09.5436714Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters 2025-06-05T23:20:09.5439771Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters 2025-06-05T23:20:09.5444077Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/addmm_converter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters 2025-06-05T23:20:09.5448470Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/avg_pool_2d_converter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters 2025-06-05T23:20:09.5452860Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/constant_pad_nd_converter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters 2025-06-05T23:20:09.5457310Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/convolution_converter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters 2025-06-05T23:20:09.5461872Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/max_pool_2d_converter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters 2025-06-05T23:20:09.5466201Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/mm_converter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters 2025-06-05T23:20:09.5470559Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/permute_copy_converter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters 2025-06-05T23:20:09.5475415Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/qdq_dequantize_converter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters 2025-06-05T23:20:09.5479828Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/qdq_quantize_converter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters 2025-06-05T23:20:09.5484211Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/relu_converter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters 2025-06-05T23:20:09.5488542Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/softmax_converter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters 2025-06-05T23:20:09.5492900Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/view_copy_converter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters 2025-06-05T23:20:09.5495967Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/nxp/backend/ir/converter/node_converters/shared 2025-06-05T23:20:09.5498788Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/shared/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/converter/node_converters/shared 2025-06-05T23:20:09.5502734Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/shared/recurrent_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/converter/node_converters/shared 2025-06-05T23:20:09.5506754Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/shared/reduce_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/converter/node_converters/shared 2025-06-05T23:20:09.5510950Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/converter/node_converters/shared/reshape_transposition.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/converter/node_converters/shared 2025-06-05T23:20:09.5513623Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/nxp/backend/ir/lib 2025-06-05T23:20:09.5515597Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib 2025-06-05T23:20:09.5517633Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5519919Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/ATan2Options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5523370Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/AbsOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5526769Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/ActivationFunctionType.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5530128Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/AddNOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5533322Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/AddOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5536751Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/ArgMaxOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5539955Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/ArgMinOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5543319Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/AssignVariableOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5546765Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/BatchMatMulOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5550220Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/BatchToSpaceNDOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5553990Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/BidirectionalSequenceLSTMOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5557774Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/BidirectionalSequenceRNNOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5561278Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/BitcastOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5564629Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/BitwiseXorOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5568044Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/BroadcastToOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5571398Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/BucketizeOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5574799Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/Buffer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5578032Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/BuiltinOperator.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5581356Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/BuiltinOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5584861Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/BuiltinOptions2.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5588172Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/CallOnceOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5591498Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/CallOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5594723Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/CastOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5598150Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/CombinerType.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5601510Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/ConcatEmbeddingsOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5605032Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/ConcatenationOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5608384Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/Conv2DOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5611641Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/Conv3DOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5614891Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/CosOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5618094Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/CumsumOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5621418Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/CustomOptionsFormat.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5624851Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/CustomQuantization.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5628212Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/DensifyOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5631588Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/DepthToSpaceOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5635065Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/DepthwiseConv2DOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5638536Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/DequantizeOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5641817Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/DilateOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5645317Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/DimensionMetadata.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5648629Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/DimensionType.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5651827Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/DivOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5655218Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/DynamicUpdateSliceOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5659047Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/EmbeddingLookupSparseOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5662512Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/EqualOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5665736Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/ExpOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5669019Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/ExpandDimsOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5672435Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/FakeQuantOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5675901Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/FillOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5679184Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/FloorDivOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5682504Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/FloorModOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5685921Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/FullyConnectedOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5689599Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/FullyConnectedOptionsWeightsFormat.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5693172Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/GatherNdOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5696452Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/GatherOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5699693Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/GeluOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5702999Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/GreaterEqualOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5706661Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/GreaterOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5709996Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/HardSwishOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5713457Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/HashtableFindOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5716930Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/HashtableImportOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5720581Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/HashtableOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5723945Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/HashtableSizeOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5727244Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/IfOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5730389Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/Int32Vector.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5733579Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/L2NormOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5736960Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/LSHProjectionOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5740376Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/LSHProjectionType.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5743696Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/LSTMKernelType.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5746961Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/LSTMOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5750243Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/LeakyReluOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5753666Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/LessEqualOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5756967Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/LessOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5760502Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/LocalResponseNormalizationOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5764092Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/LogSoftmaxOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5767627Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/LogicalAndOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5770993Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/LogicalNotOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5774507Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/LogicalOrOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5777881Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/MatrixDiagOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5781556Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/MatrixSetDiagOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5785021Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/MaximumMinimumOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5788346Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/Metadata.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5791592Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/MirrorPadMode.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5794910Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/MirrorPadOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5798142Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/Model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5801252Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/MulOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5804429Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/NegOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5807859Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/NonMaxSuppressionV4Options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5811502Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/NonMaxSuppressionV5Options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5814979Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/NotEqualOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5818263Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/OneHotOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5821470Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/Operator.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5824633Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/OperatorCode.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5828075Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/PackOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5831373Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/PadOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5834580Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/PadV2Options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5837767Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/Padding.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5840961Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/Pool2DOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5844331Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/PowOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5847653Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/QuantizationDetails.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5851138Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/QuantizationParameters.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5854563Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/QuantizeOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5857846Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/RNNOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5861057Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/RandomOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5864292Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/RangeOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5867530Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/RankOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5870935Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/ReadVariableOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5874602Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/ReduceWindowFunction.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5878051Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/ReduceWindowOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5881397Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/ReducerOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5884704Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/ReshapeOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5888337Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/ResizeBilinearOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5891937Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/ResizeNearestNeighborOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5895525Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/ReverseSequenceOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5898966Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/ReverseV2Options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5902259Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/Rfft2dOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5905775Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/RightShiftOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5909091Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/RngAlgorithm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5912382Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/SVDFOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5915659Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/ScatterNdOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5919033Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/SegmentSumOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5922325Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/SelectOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5925617Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/SelectV2Options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5928983Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/SequenceRNNOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5932280Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/ShapeOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5935524Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/SignOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5938754Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/SignatureDef.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5942018Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/SkipGramOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5945307Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/SliceOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5948586Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/SoftmaxOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5952224Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/SpaceToBatchNDOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5955679Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/SpaceToDepthOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5959077Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/SparseIndexVector.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5962467Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/SparseToDenseOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5966052Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/SparsityParameters.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5969385Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/SplitOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5972779Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/SplitVOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5975999Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/SquareOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5979423Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/SquaredDifferenceOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5982848Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/SqueezeOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5986366Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/StablehloBroadcastInDimOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5990033Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/StablehloCompareOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5993832Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/StablehloComparisonDirection.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.5997466Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/StablehloComparisonType.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.6001074Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/StablehloConcatenateOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.6004714Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/StablehloConvolutionOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.6008365Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/StablehloCustomCallOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.6012246Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/StablehloDotGeneralOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.6015903Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/StablehloDynamicSliceOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.6019517Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/StablehloGatherOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.6022990Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/StablehloIotaOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.6026432Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/StablehloPadOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.6030147Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/StablehloPrecisionConfig.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.6033776Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/StablehloReduceOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.6037376Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/StablehloReduceWindowOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.6041116Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/StablehloRngBitGeneratorOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.6044797Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/StablehloScatterOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.6048338Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/StablehloSliceOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.6051808Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/StablehloSortOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.6055354Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/StablehloTransposeOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.6058948Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/StablehloWhileOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.6062409Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/StridedSliceOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.6065716Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/SubGraph.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.6068871Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/SubOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.6072024Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/Tensor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.6075515Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/TensorMap.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.6078701Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/TensorType.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.6081874Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/TileOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.6085115Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/TopKV2Options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.6088681Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/TransposeConvOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.6092299Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/TransposeOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.6095587Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/Uint16Vector.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.6098795Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/Uint8Vector.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.6102306Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/UnidirectionalSequenceLSTMOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.6105872Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/UniqueOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.6109143Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/UnpackOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.6112671Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/UnsortedSegmentMaxOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.6116280Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/UnsortedSegmentMinOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.6119902Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/UnsortedSegmentProdOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.6123533Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/UnsortedSegmentSumOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.6127014Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/VarHandleOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.6130337Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/VariantSubType.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.6133597Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/WhereOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.6136975Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/WhileOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.6140285Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/ZerosLikeOptions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.6143463Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/lib/tflite/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/lib/tflite 2025-06-05T23:20:09.6145680Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/nxp/backend/ir/tflite_generator 2025-06-05T23:20:09.6147964Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator 2025-06-05T23:20:09.6151425Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/tflite_model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator 2025-06-05T23:20:09.6153954Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6156704Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6160542Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/abs_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6164404Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/add_n_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6168269Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/add_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6172142Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/arg_max_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6176211Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/arg_min_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6180241Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/average_pool_2d_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6184268Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/batch_mat_mul_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6188444Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/bidirectional_sequence_lstm_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6192802Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/bidirectional_sequence_rnn_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6197192Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/bitwise_xor_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6201229Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/broadcast_to_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6205198Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/cast_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6209188Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/concatenation_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6213381Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/conv_2d_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6217325Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/conv_3d_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6221243Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/cum_sum_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6225213Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/depth_to_space_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6229276Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/depthwise_conv_2d_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6233414Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/dequantize_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6237336Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/div_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6241217Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/equal_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6245125Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/exp_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6249048Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/floor_mod_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6253028Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/fully_connected_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6257210Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/gather_nd_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6261168Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/gather_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6265065Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/gelu_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6269039Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/greater_equal_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6273413Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/greater_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6277342Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/hard_swish_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6281316Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/leaky_relu_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6285277Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/less_equal_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6289212Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/less_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6293150Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/log_softmax_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6297138Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/logical_and_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6301167Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/logical_not_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6305140Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/logical_or_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6309064Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/lrn_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6313017Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/lstm_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6317237Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/max_pool_2d_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6321216Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/maximum_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6325148Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/mean_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6329071Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/minimum_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6333224Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/mirror_pad_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6337138Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/mul_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6341097Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/multinomial_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6345003Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/neg_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6348929Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/not_equal_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6352950Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/one_hot_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6356841Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/pad_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6360742Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/pad_v2_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6364646Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/pow_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6368564Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/quantize_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6372525Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/range_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6376851Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/reduce_max_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6380842Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/reduce_min_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6384811Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/reduce_prod_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6388800Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/reshape_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6393129Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/resize_bilinear_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6397288Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/resize_nearest_neighbor_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6401459Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/reverse_sequence_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6405508Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/scatter_nd_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6409494Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/select_v2_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6413443Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/shape_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6417313Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/sign_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6421238Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/slice_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6425159Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/softmax_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6429171Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/space_to_depth_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6433224Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/split_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6437323Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/split_v_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6441268Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/square_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6445309Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/squared_difference_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6449347Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/squeeze_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6453505Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/strided_slice_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6457457Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/sub_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6461342Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/sum_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6465215Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/tile_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6469218Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/transpose_conv_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6473542Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/transpose_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6477704Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/unidirectional_sequence_lstm_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6482053Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/unidirectional_sequence_rnn_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/builtin_options 2025-06-05T23:20:09.6485126Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/nxp/backend/ir/tflite_generator/custom_options 2025-06-05T23:20:09.6487979Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/custom_options/flex_transpose_options.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/custom_options 2025-06-05T23:20:09.6490784Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/nxp/backend/ir/tflite_generator/meta 2025-06-05T23:20:09.6493214Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/meta/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/meta 2025-06-05T23:20:09.6496537Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/meta/meta.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/meta 2025-06-05T23:20:09.6500150Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_generator/meta/types.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_generator/meta 2025-06-05T23:20:09.6502603Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/nxp/backend/ir/tflite_optimizer 2025-06-05T23:20:09.6504900Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer 2025-06-05T23:20:09.6508113Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/graph_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer 2025-06-05T23:20:09.6511497Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/operator_rules.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer 2025-06-05T23:20:09.6514991Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer 2025-06-05T23:20:09.6518325Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/pattern_matcher.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer 2025-06-05T23:20:09.6521635Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/tensor_rules.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer 2025-06-05T23:20:09.6524122Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T23:20:09.6526884Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T23:20:09.6530758Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/base_optimization.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T23:20:09.6534885Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/combine_hard_sigmoid_and_mul_to_hard_swish.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T23:20:09.6539069Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/eliminate_dead_branches.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T23:20:09.6543159Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/fuse_activation_functions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T23:20:09.6547338Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/fuse_fully_connected_and_add_operators.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T23:20:09.6551644Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/fuse_quanitze_into_preceding_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T23:20:09.6555733Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/keep_one_empty_buffer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T23:20:09.6559931Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/move_relu_before_concat.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T23:20:09.6564157Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/permute_fully_connected_weights_after_reshape.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T23:20:09.6568389Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/prune_cast_operators.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T23:20:09.6572590Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/prune_quantize_operators.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T23:20:09.6576776Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/prune_reshape_operators.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T23:20:09.6580857Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/prune_transpose_operators.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T23:20:09.6585027Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/remove_unused_tensors_and_buffers.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T23:20:09.6589370Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/replace_average_pool_before_fully_connected_with_sum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations 2025-06-05T23:20:09.6592274Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/nxp/quantizer 2025-06-05T23:20:09.6594233Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/quantizer/neutron_quantizer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/quantizer 2025-06-05T23:20:09.6596950Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/quantizer/patterns.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/quantizer 2025-06-05T23:20:09.6599565Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/quantizer/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/quantizer 2025-06-05T23:20:09.6601398Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/nxp/tests 2025-06-05T23:20:09.6603284Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests/executorch_pipeline.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/tests 2025-06-05T23:20:09.6605906Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests/executors.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/tests 2025-06-05T23:20:09.6608546Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests/exported_program_vizualize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/tests 2025-06-05T23:20:09.6611180Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests/models.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/tests 2025-06-05T23:20:09.6613717Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests/test_batch_norm_fusion.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/tests 2025-06-05T23:20:09.6616637Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests/test_neutron_backend.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/tests 2025-06-05T23:20:09.6619368Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests/test_neutron_converter_manager.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/tests 2025-06-05T23:20:09.6622173Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests/test_node_format_inference.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/tests 2025-06-05T23:20:09.6624875Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests/test_operator_selector.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/tests 2025-06-05T23:20:09.6627590Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests/test_qdq_clustering_conv.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/tests 2025-06-05T23:20:09.6630433Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests/test_quantizer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/tests 2025-06-05T23:20:09.6632335Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/nxp/tests/ir 2025-06-05T23:20:09.6633519Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/nxp/tests/ir/converter 2025-06-05T23:20:09.6634920Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/nxp/tests/ir/converter/node_converter 2025-06-05T23:20:09.6637552Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests/ir/converter/node_converter/test_avg_pool2d_converter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/tests/ir/converter/node_converter 2025-06-05T23:20:09.6641359Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests/ir/converter/node_converter/test_constant_pad_nd_converter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/tests/ir/converter/node_converter 2025-06-05T23:20:09.6645133Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests/ir/converter/node_converter/test_conv_converter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/tests/ir/converter/node_converter 2025-06-05T23:20:09.6648804Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests/ir/converter/node_converter/test_linear_converter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/tests/ir/converter/node_converter 2025-06-05T23:20:09.6652529Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests/ir/converter/node_converter/test_max_pool_2d_converter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/tests/ir/converter/node_converter 2025-06-05T23:20:09.6656307Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests/ir/converter/node_converter/test_permute_copy_converter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/tests/ir/converter/node_converter 2025-06-05T23:20:09.6660039Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests/ir/converter/node_converter/test_relu_converter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/tests/ir/converter/node_converter 2025-06-05T23:20:09.6663730Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests/ir/converter/node_converter/test_softmax_converter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/tests/ir/converter/node_converter 2025-06-05T23:20:09.6667473Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/nxp/tests/ir/converter/node_converter/test_view_copy_converter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/nxp/tests/ir/converter/node_converter 2025-06-05T23:20:09.6669859Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/openvino 2025-06-05T23:20:09.6671660Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/openvino 2025-06-05T23:20:09.6674467Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/openvino 2025-06-05T23:20:09.6676942Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/preprocess.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/openvino 2025-06-05T23:20:09.6678805Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/openvino/quantizer 2025-06-05T23:20:09.6680760Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/quantizer/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/openvino/quantizer 2025-06-05T23:20:09.6683585Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/quantizer/quantizer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/openvino/quantizer 2025-06-05T23:20:09.6685784Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/openvino/tests 2025-06-05T23:20:09.6687678Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/tests/test_runner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/openvino/tests 2025-06-05T23:20:09.6689644Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/openvino/tests/models 2025-06-05T23:20:09.6691822Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/tests/models/test_classification.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/openvino/tests/models 2025-06-05T23:20:09.6693974Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/openvino/tests/ops 2025-06-05T23:20:09.6696074Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/tests/ops/base_openvino_op_test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/openvino/tests/ops 2025-06-05T23:20:09.6698939Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/tests/ops/test_add.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/openvino/tests/ops 2025-06-05T23:20:09.6701770Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/tests/ops/test_addmm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/openvino/tests/ops 2025-06-05T23:20:09.6704597Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/tests/ops/test_arange.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/openvino/tests/ops 2025-06-05T23:20:09.6707461Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/tests/ops/test_batch_norm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/openvino/tests/ops 2025-06-05T23:20:09.6710369Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/tests/ops/test_convolution.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/openvino/tests/ops 2025-06-05T23:20:09.6713393Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/tests/ops/test_mean.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/openvino/tests/ops 2025-06-05T23:20:09.6716203Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/tests/ops/test_permute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/openvino/tests/ops 2025-06-05T23:20:09.6719082Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/tests/ops/test_pooling.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/openvino/tests/ops 2025-06-05T23:20:09.6721949Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/tests/ops/test_unary_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/openvino/tests/ops 2025-06-05T23:20:09.6724773Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/openvino/tests/ops/test_view.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/openvino/tests/ops 2025-06-05T23:20:09.6726711Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm 2025-06-05T23:20:09.6728679Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/qnn_preprocess.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm 2025-06-05T23:20:09.6730497Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/_passes 2025-06-05T23:20:09.6732366Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T23:20:09.6735149Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/annotate_adaptive_avg_pool1d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T23:20:09.6738030Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/annotate_quant_attrs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T23:20:09.6740978Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/annotate_stack.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T23:20:09.6743718Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/annotate_unbind.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T23:20:09.6746496Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/build_quant_io.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T23:20:09.6749266Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/convert_bmm_to_matmul.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T23:20:09.6752203Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/convert_conv1d_to_conv2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T23:20:09.6755073Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/convert_square_to_pow.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T23:20:09.6757886Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/decompose_any.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T23:20:09.6760623Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/decompose_cdist.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T23:20:09.6763424Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/decompose_einsum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T23:20:09.6766183Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/decompose_expm1.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T23:20:09.6769093Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/decompose_linalg_vector_norm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T23:20:09.6771906Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/decompose_roll.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T23:20:09.6774824Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/decompose_silu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T23:20:09.6777676Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/expand_broadcast_tensor_shape.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T23:20:09.6780604Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/fixed_linear_keep_dim.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T23:20:09.6783601Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/fold_qdq.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T23:20:09.6786349Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/fuse_consecutive_cast.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T23:20:09.6789260Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/fuse_consecutive_transpose.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T23:20:09.6792155Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/i64_to_i32.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T23:20:09.6794809Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/insert_io_qdq.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T23:20:09.6797809Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/insert_requantize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T23:20:09.6800604Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/layout_transform.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T23:20:09.6803516Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/lift_constant_scalar_operands.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T23:20:09.6806408Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/qnn_pass_manager.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T23:20:09.6809263Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/recompose_pixel_unshuffle.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T23:20:09.6812174Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/recompose_rms_norm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T23:20:09.6815033Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/reduce_dynamic_range.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T23:20:09.6817829Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/remove_0d_tensor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T23:20:09.6820630Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/remove_redundancy.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T23:20:09.6823425Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/replace_arange_args.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T23:20:09.6826310Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/replace_index_put_input.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T23:20:09.6829156Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/replace_inf_values.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T23:20:09.6831999Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/tag_quant_io.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T23:20:09.6834607Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes 2025-06-05T23:20:09.6836509Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders 2025-06-05T23:20:09.6838642Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.6841406Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/node_visitor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.6844168Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_abs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.6847004Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_adaptive_avg_pool2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.6849813Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_add.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.6852777Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_amax.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.6855575Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_and.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.6881996Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_arange.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.6884865Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_argmin.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.6887647Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_avg_pool2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.6890517Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_batch_norm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.6893247Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_bmm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.6895958Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_cat.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.6898638Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_ceil.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.6901388Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_clamp.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.6904156Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_conv2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.6906889Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_cos.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.6909604Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_cum_sum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.6912507Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_depth_to_space.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.6915331Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_dequantize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.6918417Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_div.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.6921149Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_elu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.6923899Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_embedding.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.6926651Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_eq.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.6929361Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_exp.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.6932296Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_expand.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.6935061Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_full.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.6937819Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_full_like.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.6940592Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_gather.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.6943325Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_ge.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.6946037Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_gelu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.6948785Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_group_norm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.6951629Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_gt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.6954322Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_hardsigmoid.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.6957191Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_hardswish.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.6960017Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_hardtanh.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.6962776Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_index.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.6965542Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_index_put.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.6968397Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_instance_norm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.6971205Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_layer_norm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.6974396Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_le.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.6977112Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_linear.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.6979853Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_log.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.6982587Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_log_softmax.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.6985435Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_logical_not.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.6988413Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_lt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.6991224Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_matmul.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.6993948Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_max.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.6996709Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_max_pool2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.6999495Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_mean_dim.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.7002262Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_min.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.7004963Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_mul.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.7007685Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_ne.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.7010361Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_neg.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.7013076Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_or.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.7015777Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_pad.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.7018489Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_pow.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.7021220Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_prelu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.7024009Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_quantize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.7026767Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_relu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.7029540Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_repeat.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.7032580Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_reshape.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.7035346Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_resize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.7038140Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_rms_norm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.7040842Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_rsqrt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.7043653Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_scalar_tensor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.7046718Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_select_copy.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.7049544Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_sigmoid.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.7052261Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_sin.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.7055020Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_skip_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.7057792Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_slice_copy.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.7060624Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_softmax.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.7063467Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_space_to_depth.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.7066337Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_split_with_sizes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.7069176Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_sqrt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.7072008Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_squeeze.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.7074972Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_stack.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.7077695Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_sub.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.7080453Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_sum_int_list.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.7083228Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_tanh.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.7085944Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_to.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.7088874Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_topk.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.7090196Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_transpose.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.7091447Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_unbind.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.7092753Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_unsqueeze.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.7094158Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_upsample_bilinear2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.7095734Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_upsample_nearest2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.7096988Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_where.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.7098292Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/qnn_constants.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.7099567Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-06-05T23:20:09.7100054Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/debugger 2025-06-05T23:20:09.7101315Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/debugger/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/debugger 2025-06-05T23:20:09.7101813Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/partition 2025-06-05T23:20:09.7103138Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/partition/common_defs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/partition 2025-06-05T23:20:09.7104482Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/partition/qnn_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/partition 2025-06-05T23:20:09.7105770Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/partition/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/partition 2025-06-05T23:20:09.7106266Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/quantizer 2025-06-05T23:20:09.7107609Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer/annotators.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/quantizer 2025-06-05T23:20:09.7109014Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer/custom_annotation.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/quantizer 2025-06-05T23:20:09.7110305Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer/qconfig.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/quantizer 2025-06-05T23:20:09.7111693Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer/quantizer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/quantizer 2025-06-05T23:20:09.7112311Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/quantizer/observers 2025-06-05T23:20:09.7114057Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer/observers/per_block_param_observer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/quantizer/observers 2025-06-05T23:20:09.7115682Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer/observers/per_channel_param_observer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/quantizer/observers 2025-06-05T23:20:09.7116230Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/serialization 2025-06-05T23:20:09.7117585Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/serialization/qc_schema.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/serialization 2025-06-05T23:20:09.7119049Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/serialization/qc_schema_serialize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/serialization 2025-06-05T23:20:09.7120636Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/serialization/qc_compiler_spec.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/serialization 2025-06-05T23:20:09.7121091Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/tests 2025-06-05T23:20:09.7122292Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/tests/models.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/tests 2025-06-05T23:20:09.7123598Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/tests/test_qnn_delegate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/tests 2025-06-05T23:20:09.7124766Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/tests/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/tests 2025-06-05T23:20:09.7125234Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/utils 2025-06-05T23:20:09.7126486Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/utils/constants.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/utils 2025-06-05T23:20:09.7127682Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/utils/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/utils 2025-06-05T23:20:09.7128123Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/aot 2025-06-05T23:20:09.7128579Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/aot/ir 2025-06-05T23:20:09.7129783Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/aot/ir/qcir.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/aot/ir 2025-06-05T23:20:09.7130209Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/transforms 2025-06-05T23:20:09.7131363Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms 2025-06-05T23:20:09.7132595Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/addmm_mm_to_linear.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms 2025-06-05T23:20:09.7133779Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/convert_dtype_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms 2025-06-05T23:20:09.7134993Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/decompose_sdpa.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms 2025-06-05T23:20:09.7136280Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/duplicate_dynamic_quant_chain.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms 2025-06-05T23:20:09.7137564Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/fuse_batch_norm_with_conv.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms 2025-06-05T23:20:09.7138946Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/fuse_conv_with_clamp.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms 2025-06-05T23:20:09.7140109Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/fuse_view_copy.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms 2025-06-05T23:20:09.7141291Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/mean_to_sum_div.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms 2025-06-05T23:20:09.7142471Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/rank_0_to_rank_1.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms 2025-06-05T23:20:09.7143656Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/remove_clone_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms 2025-06-05T23:20:09.7144996Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/remove_getitem_op.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms 2025-06-05T23:20:09.7146298Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/replace_scalar_with_tensor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms 2025-06-05T23:20:09.7147401Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms 2025-06-05T23:20:09.7148715Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/view_copy_to_squeeze_unsqueeze.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms 2025-06-05T23:20:09.7149180Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/transforms/test 2025-06-05T23:20:09.7150664Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/test/test_create_delete_constant_placeholder.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms/test 2025-06-05T23:20:09.7152210Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/test/test_duplicate_dynamic_quant_chain.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms/test 2025-06-05T23:20:09.7153508Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/test/test_rank_0_to_rank_1.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms/test 2025-06-05T23:20:09.7153907Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan 2025-06-05T23:20:09.7154939Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan 2025-06-05T23:20:09.7156043Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/custom_ops_lib.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan 2025-06-05T23:20:09.7157160Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/op_registry.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan 2025-06-05T23:20:09.7158181Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan 2025-06-05T23:20:09.7159345Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/vulkan_preprocess.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan 2025-06-05T23:20:09.7159810Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/_passes 2025-06-05T23:20:09.7160971Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/_passes 2025-06-05T23:20:09.7162206Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes/fuse_quantized_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/_passes 2025-06-05T23:20:09.7163639Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes/insert_prepack_nodes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/_passes 2025-06-05T23:20:09.7164973Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes/int4_weight_only_quantizer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/_passes 2025-06-05T23:20:09.7166192Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes/remove_asserts.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/_passes 2025-06-05T23:20:09.7167520Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes/remove_local_scalar_dense_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/_passes 2025-06-05T23:20:09.7168789Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes/remove_redundant_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/_passes 2025-06-05T23:20:09.7170233Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes/squeeze_unsqueeze_inputs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/_passes 2025-06-05T23:20:09.7171484Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes/tag_memory_meta_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/_passes 2025-06-05T23:20:09.7171991Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/partitioner 2025-06-05T23:20:09.7173536Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/partitioner/vulkan_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/partitioner 2025-06-05T23:20:09.7174038Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/quantizer 2025-06-05T23:20:09.7175351Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/quantizer/vulkan_quantizer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/quantizer 2025-06-05T23:20:09.7175835Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime 2025-06-05T23:20:09.7177076Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/gen_vulkan_spv.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime 2025-06-05T23:20:09.7177591Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph 2025-06-05T23:20:09.7178117Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops 2025-06-05T23:20:09.7178693Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7180302Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_naive_buffer.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7181966Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_naive_texture3d.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7183589Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_optimized.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7185115Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/arange.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7186658Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/avg_pool2d.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7188201Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/batchnorm.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7189978Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/binary_op.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7191805Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/bitw8_image_to_nchw_nobitw8buffer.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7193399Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/buffer_to_buffer.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7194975Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/buffer_to_nchw.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7196681Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/clone.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7198204Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/conv1d.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7199736Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7201236Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7202862Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_output_tile.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7204553Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_prepack_weights.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7206218Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_sned_output_tile.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7207868Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_prepack_weights.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7209414Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_pw.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7211000Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_pw_s1p0.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7212594Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7214336Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d_prepack_weights.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7215947Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/copy_channel_offset.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7217651Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/copy_offset.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7219275Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/copy_packed_dim_offset.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7220835Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/embedding.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7222352Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/flip.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7223960Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/full.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7225524Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/grid_priors.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7227088Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/image_to_nchw.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7228640Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/index_select.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7230281Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/index_select_channel.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7231951Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/kv_cache_update.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7233517Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/linear_qcsnw.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7235131Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/linear_qcsnw_coop.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7236745Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/linear_qcsnw_tiled.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7238373Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/linear_qga4w_coop.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7239991Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/linear_qga4w_tiled.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7241532Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/max_pool2d.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7243136Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/native_layer_norm.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7244811Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/nchw_to_bitw8_image_nobitw8buffer.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7246529Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/nchw_to_buffer.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7248096Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/nchw_to_image.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7249584Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/no_op.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7251422Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/pack_int4_linear_weight_transposed_interleaved.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7253122Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/pad_channel.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7254693Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/pad_height_width.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7256243Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/permute.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7257737Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/reduce.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7259282Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/repeat.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7260898Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/repeat_channel.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7262510Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/repeat_interleave.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7264109Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/rotary_embedding.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7265820Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/sdpa_attn_weight_scale_and_mask.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7267374Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/softmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7268863Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/tan.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7270476Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/transfer_buffer.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7272166Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/transfer_texture.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7274095Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/unary_op.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7275666Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/upsample_2d.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7277188Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/var_buffer.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7278753Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/var_texture3d.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7280398Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/view.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7281918Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/where.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-06-05T23:20:09.7282441Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/serialization 2025-06-05T23:20:09.7283884Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/serialization/vulkan_graph_builder.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/serialization 2025-06-05T23:20:09.7285313Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/serialization/vulkan_graph_schema.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/serialization 2025-06-05T23:20:09.7286788Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/serialization/vulkan_graph_serialize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/serialization 2025-06-05T23:20:09.7288135Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/serialization/schema.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/serialization 2025-06-05T23:20:09.7288569Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/test 2025-06-05T23:20:09.7289789Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/test_serialization.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/test 2025-06-05T23:20:09.7291050Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/test_vulkan_delegate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/test 2025-06-05T23:20:09.7292362Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/test_vulkan_delegate_header.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/test 2025-06-05T23:20:09.7293599Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/test_vulkan_passes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/test 2025-06-05T23:20:09.7294115Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/test/op_tests 2025-06-05T23:20:09.7295365Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests/cases.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/test/op_tests 2025-06-05T23:20:09.7296760Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests/generate_op_benchmarks.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/test/op_tests 2025-06-05T23:20:09.7298232Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests/generate_op_correctness_tests.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/test/op_tests 2025-06-05T23:20:09.7298810Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/test/op_tests/utils 2025-06-05T23:20:09.7300397Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests/utils/aten_types.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/test/op_tests/utils 2025-06-05T23:20:09.7301849Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests/utils/gen_benchmark_vk.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/test/op_tests/utils 2025-06-05T23:20:09.7303322Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests/utils/gen_computegraph.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/test/op_tests/utils 2025-06-05T23:20:09.7304825Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests/utils/gen_correctness_base.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/test/op_tests/utils 2025-06-05T23:20:09.7306400Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests/utils/gen_correctness_vk.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/test/op_tests/utils 2025-06-05T23:20:09.7307786Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests/utils/test_suite.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/test/op_tests/utils 2025-06-05T23:20:09.7308282Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/test/glsl 2025-06-05T23:20:09.7309549Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/glsl/all_shaders.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/test/glsl 2025-06-05T23:20:09.7311062Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/glsl/dynamic_dispatch_test.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/test/glsl 2025-06-05T23:20:09.7312505Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/glsl/reference_matmul_common.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/test/glsl 2025-06-05T23:20:09.7312979Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/third-party 2025-06-05T23:20:09.7313506Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/third-party/volk 2025-06-05T23:20:09.7314891Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/volk/generate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/third-party/volk 2025-06-05T23:20:09.7315524Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/third-party/Vulkan-Headers 2025-06-05T23:20:09.7316249Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/third-party/Vulkan-Headers/registry 2025-06-05T23:20:09.7318064Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/apiconventions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/third-party/Vulkan-Headers/registry 2025-06-05T23:20:09.7319834Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/cgenerator.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/third-party/Vulkan-Headers/registry 2025-06-05T23:20:09.7321613Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/conventions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/third-party/Vulkan-Headers/registry 2025-06-05T23:20:09.7323341Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/generator.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/third-party/Vulkan-Headers/registry 2025-06-05T23:20:09.7325027Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/genvk.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/third-party/Vulkan-Headers/registry 2025-06-05T23:20:09.7326860Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/reg.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/third-party/Vulkan-Headers/registry 2025-06-05T23:20:09.7328642Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/vkconventions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/third-party/Vulkan-Headers/registry 2025-06-05T23:20:09.7329463Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/spec_tools 2025-06-05T23:20:09.7331344Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/spec_tools/util.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/third-party/Vulkan-Headers/registry/spec_tools 2025-06-05T23:20:09.7332168Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/third-party/VulkanMemoryAllocator 2025-06-05T23:20:09.7332945Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools 2025-06-05T23:20:09.7333840Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis 2025-06-05T23:20:09.7336053Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis/GpuMemDumpVis.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis 2025-06-05T23:20:09.7336513Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/tools 2025-06-05T23:20:09.7337000Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/tools/gpuinfo 2025-06-05T23:20:09.7337536Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/tools/gpuinfo/glsl 2025-06-05T23:20:09.7339046Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl/buf_bandwidth.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/tools/gpuinfo/glsl 2025-06-05T23:20:09.7340592Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl/buf_cacheline_size.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/tools/gpuinfo/glsl 2025-06-05T23:20:09.7342044Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl/reg_count.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/tools/gpuinfo/glsl 2025-06-05T23:20:09.7343553Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl/tex_bandwidth.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/tools/gpuinfo/glsl 2025-06-05T23:20:09.7345073Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl/tex_cacheline_concurr.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/tools/gpuinfo/glsl 2025-06-05T23:20:09.7346550Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl/warp_size.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/tools/gpuinfo/glsl 2025-06-05T23:20:09.7346974Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack 2025-06-05T23:20:09.7348026Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack 2025-06-05T23:20:09.7349219Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/xnnpack_preprocess.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack 2025-06-05T23:20:09.7349693Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/_passes 2025-06-05T23:20:09.7350897Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/_passes 2025-06-05T23:20:09.7352419Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes/channels_last_tagged_reshape_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/_passes 2025-06-05T23:20:09.7353763Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes/conv1d_unsqueeze_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/_passes 2025-06-05T23:20:09.7355006Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes/convert_to_linear.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/_passes 2025-06-05T23:20:09.7356240Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes/convert_to_sdpa.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/_passes 2025-06-05T23:20:09.7357749Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes/convert_to_upsample_bilinear2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/_passes 2025-06-05T23:20:09.7359003Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes/decompose_cat.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/_passes 2025-06-05T23:20:09.7360285Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes/fuse_activation_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/_passes 2025-06-05T23:20:09.7361591Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes/fuse_batch_norm_with_conv.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/_passes 2025-06-05T23:20:09.7362866Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes/prelu_reshape_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/_passes 2025-06-05T23:20:09.7364169Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes/tag_implicit_q_dq_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/_passes 2025-06-05T23:20:09.7365406Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes/xnnpack_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/_passes 2025-06-05T23:20:09.7365887Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators 2025-06-05T23:20:09.7367162Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T23:20:09.7368469Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/node_visitor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T23:20:09.7369705Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_abs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T23:20:09.7370981Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_add.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T23:20:09.7372251Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_addmm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T23:20:09.7373721Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_avg_pooling2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T23:20:09.7374981Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_bmm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T23:20:09.7376234Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_cat.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T23:20:09.7377714Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_ceiling.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T23:20:09.7378981Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_clamp.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T23:20:09.7380262Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_conv2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T23:20:09.7381517Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_div.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T23:20:09.7382911Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_dynamic_dequantize_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T23:20:09.7384505Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_dynamic_quantize_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T23:20:09.7385780Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_elu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T23:20:09.7387021Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_exp.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T23:20:09.7388268Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_floor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T23:20:09.7389533Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_gelu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T23:20:09.7390925Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_hardswish.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T23:20:09.7392195Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_hardtanh.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T23:20:09.7393513Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_leaky_relu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T23:20:09.7394795Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_linear.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T23:20:09.7396027Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_log.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T23:20:09.7397476Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_matrix_multiplication.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T23:20:09.7398757Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_max_dim.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T23:20:09.7400072Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_max_pool2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T23:20:09.7401336Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_maximum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T23:20:09.7402614Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_mean_dim.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T23:20:09.7404048Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_minimum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T23:20:09.7405336Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_multiply.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T23:20:09.7406607Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_negate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T23:20:09.7407912Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_permute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T23:20:09.7409164Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_prelu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T23:20:09.7410594Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_quant_dequant.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T23:20:09.7411876Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_relu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T23:20:09.7413128Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_rsqrt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T23:20:09.7414360Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_sdpa.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T23:20:09.7415659Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_sigmoid.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T23:20:09.7416953Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_skip_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T23:20:09.7418242Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_slice_copy.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T23:20:09.7419521Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_softmax.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T23:20:09.7420797Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_square.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T23:20:09.7422103Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_square_root.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T23:20:09.7423394Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_squeeze.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T23:20:09.7424777Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_static_constant_pad.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T23:20:09.7426216Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_static_resize_bilinear_2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T23:20:09.7427671Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_sub.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T23:20:09.7428932Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_to_copy.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T23:20:09.7430413Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/quant_params.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-06-05T23:20:09.7430978Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/partition 2025-06-05T23:20:09.7432249Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/configs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/partition 2025-06-05T23:20:09.7433646Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/xnnpack_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/partition 2025-06-05T23:20:09.7434195Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/partition/config 2025-06-05T23:20:09.7435701Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/partition/config 2025-06-05T23:20:09.7437149Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config/gemm_configs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/partition/config 2025-06-05T23:20:09.7438669Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config/generic_node_configs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/partition/config 2025-06-05T23:20:09.7440129Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config/node_configs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/partition/config 2025-06-05T23:20:09.7441648Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config/quant_affine_configs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/partition/config 2025-06-05T23:20:09.7443133Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config/xnnpack_config.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/partition/config 2025-06-05T23:20:09.7443682Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/partition/graphs 2025-06-05T23:20:09.7445138Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/graphs/bilinear_2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/partition/graphs 2025-06-05T23:20:09.7446446Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/graphs/sdpa.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/partition/graphs 2025-06-05T23:20:09.7446952Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/quantizer 2025-06-05T23:20:09.7448290Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/quantizer/xnnpack_quantizer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/quantizer 2025-06-05T23:20:09.7449723Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/quantizer/xnnpack_quantizer_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/quantizer 2025-06-05T23:20:09.7450251Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/serialization 2025-06-05T23:20:09.7451698Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/serialization/xnnpack_graph_schema.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/serialization 2025-06-05T23:20:09.7453198Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/serialization/xnnpack_graph_serialize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/serialization 2025-06-05T23:20:09.7454651Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/serialization/runtime_schema.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/serialization 2025-06-05T23:20:09.7456142Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/serialization/schema.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/serialization 2025-06-05T23:20:09.7456606Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test 2025-06-05T23:20:09.7457846Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/test_xnnpack_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test 2025-06-05T23:20:09.7459153Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/test_xnnpack_utils_classes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test 2025-06-05T23:20:09.7459663Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/models 2025-06-05T23:20:09.7460984Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/deeplab_v3.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/models 2025-06-05T23:20:09.7462375Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/edsr.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/models 2025-06-05T23:20:09.7463746Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/emformer_rnnt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/models 2025-06-05T23:20:09.7465082Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/inception_v3.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/models 2025-06-05T23:20:09.7466436Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/inception_v4.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/models 2025-06-05T23:20:09.7467841Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/llama2_et_example.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/models 2025-06-05T23:20:09.7469202Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/mobilebert.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/models 2025-06-05T23:20:09.7470547Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/mobilenet_v2.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/models 2025-06-05T23:20:09.7471988Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/mobilenet_v3.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/models 2025-06-05T23:20:09.7473449Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/resnet.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/models 2025-06-05T23:20:09.7474815Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/torchvision_vit.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/models 2025-06-05T23:20:09.7476195Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/very_big_model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/models 2025-06-05T23:20:09.7477476Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/w2l.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/models 2025-06-05T23:20:09.7477942Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops 2025-06-05T23:20:09.7479190Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_abs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T23:20:09.7480417Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_add.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T23:20:09.7481996Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_avgpool2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T23:20:09.7483323Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_bilinear2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T23:20:09.7484539Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_bmm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T23:20:09.7485780Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_cat.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T23:20:09.7487050Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_ceil.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T23:20:09.7488592Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_check_quant_params.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T23:20:09.7489861Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_clamp.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T23:20:09.7491153Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_conv1d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T23:20:09.7492421Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_conv2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T23:20:09.7493657Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_div.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T23:20:09.7494919Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_elu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T23:20:09.7496166Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_exp.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T23:20:09.7497432Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_floor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T23:20:09.7498690Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_gelu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T23:20:09.7500010Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_hardswish.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T23:20:09.7501308Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_hardtanh.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T23:20:09.7502581Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_leaky_relu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T23:20:09.7503882Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_linear.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T23:20:09.7505116Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_log.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T23:20:09.7506352Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_lstm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T23:20:09.7507782Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_max_dim.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T23:20:09.7509057Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_maximum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T23:20:09.7510339Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_maxpool2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T23:20:09.7511712Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_mean_dim.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T23:20:09.7512990Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_minimum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T23:20:09.7514396Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_multiply.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T23:20:09.7515696Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_negate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T23:20:09.7516978Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_permute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T23:20:09.7518211Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_pow.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T23:20:09.7519475Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_prelu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T23:20:09.7520875Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_quantize_per_tensor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T23:20:09.7522132Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_relu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T23:20:09.7523378Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_rsqrt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T23:20:09.7524635Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_sdpa.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T23:20:09.7525921Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_sigmoid.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T23:20:09.7527229Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_slice_copy.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T23:20:09.7528520Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_softmax.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T23:20:09.7529778Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_sqrt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T23:20:09.7531044Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_square.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T23:20:09.7532426Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_static_constant_pad.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T23:20:09.7533767Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_sub.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops 2025-06-05T23:20:09.7534278Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/passes 2025-06-05T23:20:09.7535689Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes/test_activation_fusion.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/passes 2025-06-05T23:20:09.7537099Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes/test_batch_norm_fusion.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/passes 2025-06-05T23:20:09.7538615Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes/test_channels_last_tagged_reshape.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/passes 2025-06-05T23:20:09.7540162Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes/test_convert_to_linear.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/passes 2025-06-05T23:20:09.7541591Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes/test_decompose_cat_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/passes 2025-06-05T23:20:09.7543013Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes/test_remove_get_item_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/passes 2025-06-05T23:20:09.7544474Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes/test_tag_implicit_q_dq_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/passes 2025-06-05T23:20:09.7545000Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/quantizer 2025-06-05T23:20:09.7546470Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/quantizer/test_pt2e_quantization.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/quantizer 2025-06-05T23:20:09.7547964Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/quantizer/test_representation.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/quantizer 2025-06-05T23:20:09.7549446Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/quantizer/test_xnnpack_quantizer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/quantizer 2025-06-05T23:20:09.7549996Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/serialization 2025-06-05T23:20:09.7551649Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/serialization/test_serialization.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/serialization 2025-06-05T23:20:09.7553176Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/serialization/test_xnnheader.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/serialization 2025-06-05T23:20:09.7553678Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/tester 2025-06-05T23:20:09.7554955Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/tester/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/tester 2025-06-05T23:20:09.7556240Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/tester/tester.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/tester 2025-06-05T23:20:09.7556766Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party 2025-06-05T23:20:09.7557297Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/FP16 2025-06-05T23:20:09.7558696Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FP16/configure.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/FP16 2025-06-05T23:20:09.7559484Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/FP16/include 2025-06-05T23:20:09.7560148Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/FP16/include/fp16 2025-06-05T23:20:09.7561727Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FP16/include/fp16/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/FP16/include/fp16 2025-06-05T23:20:09.7563321Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FP16/include/fp16/avx.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/FP16/include/fp16 2025-06-05T23:20:09.7564901Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FP16/include/fp16/avx2.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/FP16/include/fp16 2025-06-05T23:20:09.7565605Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/FP16/test 2025-06-05T23:20:09.7566289Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/FP16/test/peachpy 2025-06-05T23:20:09.7567883Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FP16/test/peachpy/stubs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/FP16/test/peachpy 2025-06-05T23:20:09.7569243Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FP16/confu.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/FP16 2025-06-05T23:20:09.7569820Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/FXdiv 2025-06-05T23:20:09.7571228Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FXdiv/configure.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/FXdiv 2025-06-05T23:20:09.7572810Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FXdiv/confu.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/FXdiv 2025-06-05T23:20:09.7573415Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/cpuinfo 2025-06-05T23:20:09.7574839Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/configure.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/cpuinfo 2025-06-05T23:20:09.7575502Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/cpuinfo/scripts 2025-06-05T23:20:09.7577212Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/scripts/android-device-dump.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/cpuinfo/scripts 2025-06-05T23:20:09.7578988Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/scripts/arm-linux-filesystem-dump.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/cpuinfo/scripts 2025-06-05T23:20:09.7580690Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/scripts/parse-x86-cpuid-dump.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/cpuinfo/scripts 2025-06-05T23:20:09.7581328Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/cpuinfo/deps 2025-06-05T23:20:09.7581975Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/cpuinfo/deps/clog 2025-06-05T23:20:09.7583639Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/deps/clog/configure.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/cpuinfo/deps/clog 2025-06-05T23:20:09.7585526Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/deps/clog/confu.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/cpuinfo/deps/clog 2025-06-05T23:20:09.7586993Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/confu.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/cpuinfo 2025-06-05T23:20:09.7587607Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/pthreadpool 2025-06-05T23:20:09.7589140Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/pthreadpool/configure.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/pthreadpool 2025-06-05T23:20:09.7590665Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/pthreadpool/confu.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/pthreadpool 2025-06-05T23:20:09.7591527Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK 2025-06-05T23:20:09.7592189Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/scripts 2025-06-05T23:20:09.7593784Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts/check_config.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/scripts 2025-06-05T23:20:09.7595464Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts/check_files_changed.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/scripts 2025-06-05T23:20:09.7597234Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts/generate-build-identifier.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/scripts 2025-06-05T23:20:09.7598901Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts/sort-filenames.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/scripts 2025-06-05T23:20:09.7599570Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:09.7601087Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/primes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:09.7602623Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/xngen.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:09.7604186Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/xnncommon.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:09.7605921Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-argmaxpool-test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:09.7607618Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc-test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:09.7609359Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc2chw-test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:09.7611145Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-multipass-test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:09.7613066Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-unipass-test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:09.7614809Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv2d-chw-test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:09.7616478Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-gemm-test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:09.7618231Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-ibilinear-chw-test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:09.7620053Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-ibilinear-test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:09.7621755Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-lut-norm-test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:09.7623380Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-lut-test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:09.7625157Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddexpminusmax-test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:09.7626907Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddextexp-test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:09.7628744Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddstoreexpminusmax-test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:09.7630487Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-rdsum-benchmark.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:09.7632154Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-rdsum-test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:09.7633815Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-reduce-test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:09.7635499Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-spmm-test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:09.7637189Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vbinary-test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:09.7638914Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vmulcaddc-test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:09.7640721Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vscaleexpminusmax-test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:09.7642604Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vscaleextexp-test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:09.7644304Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vunary-test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:09.7645974Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/update-microkernels.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-06-05T23:20:09.7646588Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7648326Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/bf16-gemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7649960Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-conv-hwc2chw.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7651575Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-dwconv2d-chw.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7653263Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-gemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7654964Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-igemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7656602Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-rdsum.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7658200Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-rsum.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7659800Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-gemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7661438Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-ibilinear-chw.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7663054Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-ibilinear.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7664677Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-igemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7666426Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-raddstoreexpminusmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7667963Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7669647Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rmin.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7671301Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rminmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7673066Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rsum.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7674678Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-spmm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7676544Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vmulcaddc-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7678154Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-argmaxpool.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7679755Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-conv-hwc.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7681372Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-conv-hwc2chw.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7683006Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-dwconv2d-chw.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7684649Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm-goi-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7686251Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7687853Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm-relu.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7689393Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7691053Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemminc-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7692703Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-ibilinear-chw.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7694306Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-ibilinear.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7695941Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7697753Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm-relu.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7699303Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7700914Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-ppmm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7702552Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc4w-gemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7704321Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7705975Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm-relu.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7707560Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7709232Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddexpminusmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7710873Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddextexp.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7712571Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddstoreexpminusmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7714142Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rdsum.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7715685Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7717237Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rmin.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7718833Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rminmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7720377Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rsum.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7721981Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-spmm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7723629Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vmulcaddc-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7725468Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vscaleexpminusmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7727128Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vscaleextexp.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7728815Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qb4w-gemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7730508Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc4w-gemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7732338Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc8w-gemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7734034Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc8w-igemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7735740Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qb4w-gemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7737425Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qc4w-gemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7739130Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qc8w-gemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7740847Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qc8w-igemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7742539Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qp8-f32-qb4w-gemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7744220Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qp8-f32-qc4w-gemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7745955Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-qc8w-gemm-minmax-fp32.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7747661Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-qc8w-igemm-minmax-fp32.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7749342Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-rdsum-minmax-fp32.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7750962Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-rsum.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7752621Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-gemm-minmax-fp32.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7754454Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-gemm-minmax-rndnu.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7756143Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-igemm-minmax-fp32.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7757836Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-igemm-minmax-rndnu.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7759397Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-rdsum.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7761058Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-rsum.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7762663Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/s8-ibilinear.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7764243Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/u8-ibilinear.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7765821Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/u8-lut32norm.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7767380Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/u8-rmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7768908Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/x8-lut.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-06-05T23:20:09.7770390Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/generate-cpuinfo-wrappers.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party 2025-06-05T23:20:09.7770856Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/utils 2025-06-05T23:20:09.7772057Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/utils/configs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/utils 2025-06-05T23:20:09.7773459Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/utils/quant_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/utils 2025-06-05T23:20:09.7774633Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/utils/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/utils 2025-06-05T23:20:09.7775925Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/utils/xnnpack_constants.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/utils 2025-06-05T23:20:09.7776339Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple 2025-06-05T23:20:09.7776752Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps 2025-06-05T23:20:09.7777842Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps 2025-06-05T23:20:09.7779023Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/mps_preprocess.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps 2025-06-05T23:20:09.7779724Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/operators 2025-06-05T23:20:09.7780990Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators 2025-06-05T23:20:09.7782406Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/activation_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators 2025-06-05T23:20:09.7783743Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/binary_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators 2025-06-05T23:20:09.7785060Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/clamp_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators 2025-06-05T23:20:09.7786621Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/constant_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators 2025-06-05T23:20:09.7788025Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/convolution_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators 2025-06-05T23:20:09.7789385Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/indexing_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators 2025-06-05T23:20:09.7790878Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/linear_algebra_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators 2025-06-05T23:20:09.7792216Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/node_visitor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators 2025-06-05T23:20:09.7793674Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/normalization_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators 2025-06-05T23:20:09.7794982Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/op_clone.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators 2025-06-05T23:20:09.7796289Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/op_getitem.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators 2025-06-05T23:20:09.7797653Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/op_quant_dequant.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators 2025-06-05T23:20:09.7798984Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/op_skip_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators 2025-06-05T23:20:09.7800300Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/pad_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators 2025-06-05T23:20:09.7801646Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/pooling_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators 2025-06-05T23:20:09.7802917Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/range_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators 2025-06-05T23:20:09.7804260Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/reduce_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators 2025-06-05T23:20:09.7805592Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/shape_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators 2025-06-05T23:20:09.7807036Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/unary_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators 2025-06-05T23:20:09.7807563Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/partition 2025-06-05T23:20:09.7808838Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/partition/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/partition 2025-06-05T23:20:09.7810210Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/partition/mps_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/partition 2025-06-05T23:20:09.7810733Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/serialization 2025-06-05T23:20:09.7812311Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/serialization/mps_graph_schema.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/serialization 2025-06-05T23:20:09.7813796Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/serialization/mps_graph_serialize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/serialization 2025-06-05T23:20:09.7815221Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/serialization/schema.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/serialization 2025-06-05T23:20:09.7815662Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/test 2025-06-05T23:20:09.7816871Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test/test_mps.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/test 2025-06-05T23:20:09.7818166Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test/test_mps_binary_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/test 2025-06-05T23:20:09.7819463Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test/test_mps_indexing_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/test 2025-06-05T23:20:09.7820721Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test/test_mps_linear.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/test 2025-06-05T23:20:09.7822006Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test/test_mps_models.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/test 2025-06-05T23:20:09.7823278Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test/test_mps_unary_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/test 2025-06-05T23:20:09.7824513Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test/test_mps_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/test 2025-06-05T23:20:09.7825005Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/utils 2025-06-05T23:20:09.7826216Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/utils/mps_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/utils 2025-06-05T23:20:09.7827472Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/utils/quant_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/utils 2025-06-05T23:20:09.7827921Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml 2025-06-05T23:20:09.7828428Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/compiler 2025-06-05T23:20:09.7829738Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/compiler/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/coreml/compiler 2025-06-05T23:20:09.7831389Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/compiler/coreml_preprocess.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/coreml/compiler 2025-06-05T23:20:09.7831919Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/partition 2025-06-05T23:20:09.7833243Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/partition/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/coreml/partition 2025-06-05T23:20:09.7834725Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/partition/coreml_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/coreml/partition 2025-06-05T23:20:09.7835240Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/quantizer 2025-06-05T23:20:09.7836566Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/quantizer/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/coreml/quantizer 2025-06-05T23:20:09.7838148Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/quantizer/coreml_quantizer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/coreml/quantizer 2025-06-05T23:20:09.7838618Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/test 2025-06-05T23:20:09.7840006Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/test/test_coreml_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/coreml/test 2025-06-05T23:20:09.7841404Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/test/test_coreml_quantizer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/coreml/test 2025-06-05T23:20:09.7841898Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/runtime 2025-06-05T23:20:09.7842452Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/runtime/test 2025-06-05T23:20:09.7844010Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/runtime/test/export_stateful_model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/coreml/runtime/test 2025-06-05T23:20:09.7845329Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/executorchcoreml.pyi -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/coreml 2025-06-05T23:20:09.7846892Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/executorchcoreml.cpython-310-x86_64-linux-gnu.so -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/coreml 2025-06-05T23:20:09.7847303Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence 2025-06-05T23:20:09.7847740Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/aot 2025-06-05T23:20:09.7848876Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot 2025-06-05T23:20:09.7850060Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/compiler.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot 2025-06-05T23:20:09.7851263Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/compiler_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot 2025-06-05T23:20:09.7852481Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/decompose_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot 2025-06-05T23:20:09.7853697Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/export_example.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot 2025-06-05T23:20:09.7854852Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/fuse_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot 2025-06-05T23:20:09.7856179Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/graph_builder.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot 2025-06-05T23:20:09.7857431Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/memory_constraints.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot 2025-06-05T23:20:09.7858664Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/memory_planning.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot 2025-06-05T23:20:09.7859908Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/ops_registrations.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot 2025-06-05T23:20:09.7861063Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/pass_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot 2025-06-05T23:20:09.7862317Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/passes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot 2025-06-05T23:20:09.7863592Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/ref_implementations.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot 2025-06-05T23:20:09.7864713Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/remove_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot 2025-06-05T23:20:09.7865897Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/reorder_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot 2025-06-05T23:20:09.7867105Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/replace_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot 2025-06-05T23:20:09.7868296Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/simplify_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot 2025-06-05T23:20:09.7869435Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot 2025-06-05T23:20:09.7869948Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/aot/quantizer 2025-06-05T23:20:09.7871422Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/quantizer/fusion_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot/quantizer 2025-06-05T23:20:09.7872985Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/quantizer/patterns.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot/quantizer 2025-06-05T23:20:09.7874361Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/quantizer/quantizer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot/quantizer 2025-06-05T23:20:09.7875707Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/quantizer/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot/quantizer 2025-06-05T23:20:09.7876197Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/aot/tests 2025-06-05T23:20:09.7877585Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests/test_decompose_ops_passes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot/tests 2025-06-05T23:20:09.7878968Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests/test_fusion_ops_passes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot/tests 2025-06-05T23:20:09.7880308Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests/test_graph_builder.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot/tests 2025-06-05T23:20:09.7881882Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests/test_memory_passes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot/tests 2025-06-05T23:20:09.7883207Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests/test_pass_filter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot/tests 2025-06-05T23:20:09.7884558Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests/test_remove_ops_passes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot/tests 2025-06-05T23:20:09.7885943Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests/test_reorder_ops_passes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot/tests 2025-06-05T23:20:09.7887323Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests/test_replace_ops_passes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot/tests 2025-06-05T23:20:09.7888908Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests/test_simplify_ops_passes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot/tests 2025-06-05T23:20:09.7890136Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/functions.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot 2025-06-05T23:20:09.7891364Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/functions_fusion_g3.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot 2025-06-05T23:20:09.7892601Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/functions_hifi.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot 2025-06-05T23:20:09.7893071Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/runtime 2025-06-05T23:20:09.7894276Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/runtime/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/runtime 2025-06-05T23:20:09.7895539Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/runtime/executor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/runtime 2025-06-05T23:20:09.7896782Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/runtime/runtime.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/runtime 2025-06-05T23:20:09.7897971Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/runtime/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/runtime 2025-06-05T23:20:09.7898428Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils 2025-06-05T23:20:09.7899627Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/facto_util.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils 2025-06-05T23:20:09.7900851Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/gen_header.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils 2025-06-05T23:20:09.7902139Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/post_compilation.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils 2025-06-05T23:20:09.7902631Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO 2025-06-05T23:20:09.7903918Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/setup.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO 2025-06-05T23:20:09.7904513Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO/calibrator 2025-06-05T23:20:09.7906002Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/calibrator/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/calibrator 2025-06-05T23:20:09.7907716Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/calibrator/runner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/calibrator 2025-06-05T23:20:09.7908311Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO/examples 2025-06-05T23:20:09.7909806Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/examples/example.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/examples 2025-06-05T23:20:09.7911482Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/examples/minimal_example.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/examples 2025-06-05T23:20:09.7912992Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/examples/random_seed.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/examples 2025-06-05T23:20:09.7913661Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO/facto 2025-06-05T23:20:09.7915046Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto 2025-06-05T23:20:09.7915689Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO/facto/inputgen 2025-06-05T23:20:09.7917248Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen 2025-06-05T23:20:09.7918006Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple 2025-06-05T23:20:09.7919762Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple 2025-06-05T23:20:09.7921575Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple/engine.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple 2025-06-05T23:20:09.7922980Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple/gen.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple 2025-06-05T23:20:09.7923707Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument 2025-06-05T23:20:09.7925240Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/argument 2025-06-05T23:20:09.7926361Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/engine.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/argument 2025-06-05T23:20:09.7927704Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/gen.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/argument 2025-06-05T23:20:09.7929398Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/type.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/argument 2025-06-05T23:20:09.7930165Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute 2025-06-05T23:20:09.7931773Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute 2025-06-05T23:20:09.7933553Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/engine.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute 2025-06-05T23:20:09.7935343Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute 2025-06-05T23:20:09.7936882Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/solve.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute 2025-06-05T23:20:09.7937608Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO/facto/inputgen/specs 2025-06-05T23:20:09.7938776Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/specs/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/specs 2025-06-05T23:20:09.7940485Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/specs/model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/specs 2025-06-05T23:20:09.7940936Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO/facto/inputgen/utils 2025-06-05T23:20:09.7942571Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/utils/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/utils 2025-06-05T23:20:09.7944182Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/utils/random_manager.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/utils 2025-06-05T23:20:09.7944957Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable 2025-06-05T23:20:09.7946391Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/variable 2025-06-05T23:20:09.7947865Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/constants.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/variable 2025-06-05T23:20:09.7949089Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/gen.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/variable 2025-06-05T23:20:09.7950672Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/solve.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/variable 2025-06-05T23:20:09.7952223Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/space.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/variable 2025-06-05T23:20:09.7953852Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/type.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/variable 2025-06-05T23:20:09.7955509Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/variable 2025-06-05T23:20:09.7956151Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO/facto/specdb 2025-06-05T23:20:09.7957627Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb/db.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/specdb 2025-06-05T23:20:09.7959073Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb/default.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/specdb 2025-06-05T23:20:09.7960474Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb/dtypes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/specdb 2025-06-05T23:20:09.7961992Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb/function.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/specdb 2025-06-05T23:20:09.7962387Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO/test 2025-06-05T23:20:09.7962743Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T23:20:09.7964064Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen/test_argtuple_engine.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T23:20:09.7965478Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen/test_argtuple_generator.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T23:20:09.7966378Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen/test_argument_attributes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T23:20:09.7967955Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen/test_argument_generator.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T23:20:09.7969098Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen/test_argument_types.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T23:20:09.7970101Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen/test_attribute_engine.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T23:20:09.7971751Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen/test_attribute_solver.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T23:20:09.7973145Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen/test_constraints.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T23:20:09.7974657Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen/test_meta_arg_engine.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T23:20:09.7975506Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen/test_specs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T23:20:09.7977144Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen/test_structural_engine.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T23:20:09.7978245Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen/test_variable_generation.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T23:20:09.7980059Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen/test_variable_solving.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T23:20:09.7981091Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen/test_variable_space.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T23:20:09.7982262Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen/test_variable_types.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen 2025-06-05T23:20:09.7982698Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cortex_m 2025-06-05T23:20:09.7983278Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cortex_m/ops 2025-06-05T23:20:09.7984198Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cortex_m/ops/operators.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cortex_m/ops 2025-06-05T23:20:09.7985399Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cortex_m/ops/operators.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cortex_m/ops 2025-06-05T23:20:09.7985851Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cortex_m/passes 2025-06-05T23:20:09.7986894Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cortex_m/passes/replace_quant_nodes_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cortex_m/passes 2025-06-05T23:20:09.7987362Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cortex_m/test 2025-06-05T23:20:09.7988529Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cortex_m/test/test_replace_quant_nodes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cortex_m/test 2025-06-05T23:20:09.7988884Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples 2025-06-05T23:20:09.7989380Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/llm_pte_finetuning 2025-06-05T23:20:09.7990506Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/llm_pte_finetuning 2025-06-05T23:20:09.7991439Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning/model_exporter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/llm_pte_finetuning 2025-06-05T23:20:09.7992741Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning/model_loading_lib.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/llm_pte_finetuning 2025-06-05T23:20:09.7993579Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning/runner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/llm_pte_finetuning 2025-06-05T23:20:09.7994847Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning/training_lib.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/llm_pte_finetuning 2025-06-05T23:20:09.7996011Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning/llama3_config.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/llm_pte_finetuning 2025-06-05T23:20:09.7997376Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning/phi3_alpaca_code_config.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/llm_pte_finetuning 2025-06-05T23:20:09.7998198Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning/phi3_config.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/llm_pte_finetuning 2025-06-05T23:20:09.7999486Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning/qwen_05b_config.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/llm_pte_finetuning 2025-06-05T23:20:09.8000018Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models 2025-06-05T23:20:09.8000610Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models 2025-06-05T23:20:09.8001676Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/checkpoint.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models 2025-06-05T23:20:09.8002690Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/model_base.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models 2025-06-05T23:20:09.8003290Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/model_factory.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models 2025-06-05T23:20:09.8003546Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/deeplab_v3 2025-06-05T23:20:09.8004279Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/deeplab_v3/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/deeplab_v3 2025-06-05T23:20:09.8004979Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/deeplab_v3/model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/deeplab_v3 2025-06-05T23:20:09.8005387Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/edsr 2025-06-05T23:20:09.8006482Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/edsr/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/edsr 2025-06-05T23:20:09.8007353Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/edsr/model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/edsr 2025-06-05T23:20:09.8007624Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/efficient_sam 2025-06-05T23:20:09.8008302Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/efficient_sam 2025-06-05T23:20:09.8009387Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam/model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/efficient_sam 2025-06-05T23:20:09.8010083Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/efficient_sam/efficient_sam_core 2025-06-05T23:20:09.8011193Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core/build_efficient_sam.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/efficient_sam/efficient_sam_core 2025-06-05T23:20:09.8012139Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core/efficient_sam.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/efficient_sam/efficient_sam_core 2025-06-05T23:20:09.8013859Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core/efficient_sam_decoder.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/efficient_sam/efficient_sam_core 2025-06-05T23:20:09.8015120Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core/efficient_sam_encoder.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/efficient_sam/efficient_sam_core 2025-06-05T23:20:09.8016599Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core/mlp.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/efficient_sam/efficient_sam_core 2025-06-05T23:20:09.8017490Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core/two_way_transformer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/efficient_sam/efficient_sam_core 2025-06-05T23:20:09.8017991Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/emformer_rnnt 2025-06-05T23:20:09.8019396Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/emformer_rnnt/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/emformer_rnnt 2025-06-05T23:20:09.8020124Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/emformer_rnnt/model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/emformer_rnnt 2025-06-05T23:20:09.8020407Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/inception_v3 2025-06-05T23:20:09.8021625Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/inception_v3/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/inception_v3 2025-06-05T23:20:09.8022678Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/inception_v3/model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/inception_v3 2025-06-05T23:20:09.8023055Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/inception_v4 2025-06-05T23:20:09.8023709Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/inception_v4/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/inception_v4 2025-06-05T23:20:09.8024356Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/inception_v4/model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/inception_v4 2025-06-05T23:20:09.8024602Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama 2025-06-05T23:20:09.8025273Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama 2025-06-05T23:20:09.8026438Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/attention.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama 2025-06-05T23:20:09.8027422Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/eval_llama.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama 2025-06-05T23:20:09.8028204Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/eval_llama_lib.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama 2025-06-05T23:20:09.8029403Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/export_llama.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama 2025-06-05T23:20:09.8030279Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/export_llama_lib.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama 2025-06-05T23:20:09.8031242Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/fairseq2.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama 2025-06-05T23:20:09.8032455Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/hf_download.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama 2025-06-05T23:20:09.8033282Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/install_requirement_helper.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama 2025-06-05T23:20:09.8034506Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/llama_transformer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama 2025-06-05T23:20:09.8035559Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama 2025-06-05T23:20:09.8036744Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/model_args.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama 2025-06-05T23:20:09.8037668Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/norm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama 2025-06-05T23:20:09.8038934Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/rope.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama 2025-06-05T23:20:09.8039942Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/static_attention.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama 2025-06-05T23:20:09.8040431Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama/evaluate 2025-06-05T23:20:09.8041755Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/evaluate/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/evaluate 2025-06-05T23:20:09.8042563Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/evaluate/eager_eval.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/evaluate 2025-06-05T23:20:09.8043202Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama/experimental 2025-06-05T23:20:09.8044649Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/experimental/generate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/experimental 2025-06-05T23:20:09.8045420Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/experimental/load_gguf_q4_0.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/experimental 2025-06-05T23:20:09.8046509Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/experimental/subclass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/experimental 2025-06-05T23:20:09.8047964Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/experimental/test_subclass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/experimental 2025-06-05T23:20:09.8048260Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama/runner 2025-06-05T23:20:09.8049531Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/runner/eager.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/runner 2025-06-05T23:20:09.8050633Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/runner/generation.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/runner 2025-06-05T23:20:09.8051827Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/runner/native.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/runner 2025-06-05T23:20:09.8052488Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama/source_transformation 2025-06-05T23:20:09.8053554Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/source_transformation 2025-06-05T23:20:09.8055211Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation/apply_spin_quant_r1_r2.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/source_transformation 2025-06-05T23:20:09.8056076Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation/attention.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/source_transformation 2025-06-05T23:20:09.8057500Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation/attention_sink.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/source_transformation 2025-06-05T23:20:09.8058683Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation/custom_kv_cache.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/source_transformation 2025-06-05T23:20:09.8059618Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation/lora.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/source_transformation 2025-06-05T23:20:09.8060735Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation/pre_quantization.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/source_transformation 2025-06-05T23:20:09.8062250Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation/prune_vocab.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/source_transformation 2025-06-05T23:20:09.8063745Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation/quantize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/source_transformation 2025-06-05T23:20:09.8064900Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation/rms_norm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/source_transformation 2025-06-05T23:20:09.8066229Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation/rope.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/source_transformation 2025-06-05T23:20:09.8067444Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation/sdpa.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/source_transformation 2025-06-05T23:20:09.8068993Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation/spin_quant.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/source_transformation 2025-06-05T23:20:09.8070411Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation/test_attention_sink.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/source_transformation 2025-06-05T23:20:09.8072099Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation/test_quantized_kv_cache.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/source_transformation 2025-06-05T23:20:09.8073918Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation/test_quantized_sdpa.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/source_transformation 2025-06-05T23:20:09.8075471Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation/test_sdpa_with_quantized_kv_cache.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/source_transformation 2025-06-05T23:20:09.8076727Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation/vulkan_rope.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/source_transformation 2025-06-05T23:20:09.8077030Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama/tests 2025-06-05T23:20:09.8078161Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/tests/test_export_llama_lib.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/tests 2025-06-05T23:20:09.8079499Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/tests/test_pre_quantization_transforms.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/tests 2025-06-05T23:20:09.8080234Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/tests/test_replace_kv_cache.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/tests 2025-06-05T23:20:09.8080943Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/tests/test_ring_attention.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/tests 2025-06-05T23:20:09.8081809Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/tests/test_ring_kv_cache.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/tests 2025-06-05T23:20:09.8082521Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/tests/test_simple_sdpa.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/tests 2025-06-05T23:20:09.8083265Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/tests/test_static_attention.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/tests 2025-06-05T23:20:09.8083723Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama/tokenizer 2025-06-05T23:20:09.8085091Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/tokenizer/tiktoken.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/tokenizer 2025-06-05T23:20:09.8085605Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama3_2_vision 2025-06-05T23:20:09.8086285Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama3_2_vision 2025-06-05T23:20:09.8086719Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama3_2_vision/preprocess 2025-06-05T23:20:09.8088171Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/preprocess/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama3_2_vision/preprocess 2025-06-05T23:20:09.8089490Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/preprocess/export_preprocess.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama3_2_vision/preprocess 2025-06-05T23:20:09.8090933Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/preprocess/model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama3_2_vision/preprocess 2025-06-05T23:20:09.8091778Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/preprocess/test_preprocess.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama3_2_vision/preprocess 2025-06-05T23:20:09.8092260Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama3_2_vision/runner 2025-06-05T23:20:09.8093663Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/runner/eager.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama3_2_vision/runner 2025-06-05T23:20:09.8094526Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/runner/exported.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama3_2_vision/runner 2025-06-05T23:20:09.8095587Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/runner/generation.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama3_2_vision/runner 2025-06-05T23:20:09.8096982Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/runner/native.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama3_2_vision/runner 2025-06-05T23:20:09.8097335Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama3_2_vision/text_decoder 2025-06-05T23:20:09.8098739Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/text_decoder/model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama3_2_vision/text_decoder 2025-06-05T23:20:09.8099408Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama3_2_vision/text_decoder/test 2025-06-05T23:20:09.8100560Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/text_decoder/test/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama3_2_vision/text_decoder/test 2025-06-05T23:20:09.8102198Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/text_decoder/test/test_text_decoder.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama3_2_vision/text_decoder/test 2025-06-05T23:20:09.8102832Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama3_2_vision/vision_encoder 2025-06-05T23:20:09.8104318Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/vision_encoder/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama3_2_vision/vision_encoder 2025-06-05T23:20:09.8105143Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/vision_encoder/model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama3_2_vision/vision_encoder 2025-06-05T23:20:09.8105929Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama3_2_vision/vision_encoder/test 2025-06-05T23:20:09.8107390Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/vision_encoder/test/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama3_2_vision/vision_encoder/test 2025-06-05T23:20:09.8108464Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/vision_encoder/test/test_vision_encoder.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama3_2_vision/vision_encoder/test 2025-06-05T23:20:09.8108896Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llava 2025-06-05T23:20:09.8110045Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llava 2025-06-05T23:20:09.8111135Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava/export_llava.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llava 2025-06-05T23:20:09.8112294Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava/model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llava 2025-06-05T23:20:09.8112634Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llava/test 2025-06-05T23:20:09.8113400Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava/test/test_llava.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llava/test 2025-06-05T23:20:09.8114645Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava/test/test_pte.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llava/test 2025-06-05T23:20:09.8115082Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/lstm 2025-06-05T23:20:09.8115731Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/lstm/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/lstm 2025-06-05T23:20:09.8116547Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/lstm/model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/lstm 2025-06-05T23:20:09.8117026Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/mobilebert 2025-06-05T23:20:09.8118186Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilebert/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/mobilebert 2025-06-05T23:20:09.8118846Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilebert/model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/mobilebert 2025-06-05T23:20:09.8119119Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/mobilenet_v2 2025-06-05T23:20:09.8119767Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilenet_v2/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/mobilenet_v2 2025-06-05T23:20:09.8120908Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilenet_v2/model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/mobilenet_v2 2025-06-05T23:20:09.8121426Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/mobilenet_v3 2025-06-05T23:20:09.8122389Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilenet_v3/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/mobilenet_v3 2025-06-05T23:20:09.8123528Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilenet_v3/model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/mobilenet_v3 2025-06-05T23:20:09.8124061Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/phi-3-mini-lora 2025-06-05T23:20:09.8125142Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini-lora/export_model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/phi-3-mini-lora 2025-06-05T23:20:09.8125763Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/phi-3-mini 2025-06-05T23:20:09.8126931Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/phi-3-mini 2025-06-05T23:20:09.8128140Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini/eager.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/phi-3-mini 2025-06-05T23:20:09.8129178Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini/phi_3_mini.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/phi-3-mini 2025-06-05T23:20:09.8130440Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini/static_cache.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/phi-3-mini 2025-06-05T23:20:09.8131476Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini/export_phi-3-mini.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/phi-3-mini 2025-06-05T23:20:09.8131969Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/phi_4_mini 2025-06-05T23:20:09.8133161Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi_4_mini/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/phi_4_mini 2025-06-05T23:20:09.8134068Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi_4_mini/convert_weights.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/phi_4_mini 2025-06-05T23:20:09.8134532Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/qwen2_5 2025-06-05T23:20:09.8135679Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/qwen2_5/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/qwen2_5 2025-06-05T23:20:09.8136437Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/qwen2_5/convert_weights.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/qwen2_5 2025-06-05T23:20:09.8136886Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/qwen3 2025-06-05T23:20:09.8138038Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/qwen3/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/qwen3 2025-06-05T23:20:09.8138942Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/qwen3/convert_weights.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/qwen3 2025-06-05T23:20:09.8139392Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/resnet 2025-06-05T23:20:09.8140545Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/resnet/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/resnet 2025-06-05T23:20:09.8141249Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/resnet/model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/resnet 2025-06-05T23:20:09.8141830Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/smollm2 2025-06-05T23:20:09.8143001Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/smollm2/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/smollm2 2025-06-05T23:20:09.8143702Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/smollm2/convert_weights.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/smollm2 2025-06-05T23:20:09.8144005Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/test 2025-06-05T23:20:09.8145108Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/test/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/test 2025-06-05T23:20:09.8146085Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/test/test_export.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/test 2025-06-05T23:20:09.8146479Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/torchvision_vit 2025-06-05T23:20:09.8147643Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/torchvision_vit/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/torchvision_vit 2025-06-05T23:20:09.8148803Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/torchvision_vit/model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/torchvision_vit 2025-06-05T23:20:09.8149073Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/toy_model 2025-06-05T23:20:09.8149893Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/toy_model/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/toy_model 2025-06-05T23:20:09.8151165Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/toy_model/model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/toy_model 2025-06-05T23:20:09.8151612Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/wav2letter 2025-06-05T23:20:09.8152259Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/wav2letter/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/wav2letter 2025-06-05T23:20:09.8153119Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/wav2letter/model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/wav2letter 2025-06-05T23:20:09.8153566Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/moshi 2025-06-05T23:20:09.8154041Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/moshi/mimi 2025-06-05T23:20:09.8155013Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/moshi/mimi/test_mimi.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/moshi/mimi 2025-06-05T23:20:09.8155246Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/apple 2025-06-05T23:20:09.8155647Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/apple/coreml 2025-06-05T23:20:09.8156111Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/apple/coreml/llama 2025-06-05T23:20:09.8157360Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/llama/export.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/apple/coreml/llama 2025-06-05T23:20:09.8158086Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/llama/llama_transformer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/apple/coreml/llama 2025-06-05T23:20:09.8158960Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/llama/run.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/apple/coreml/llama 2025-06-05T23:20:09.8160235Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/llama/test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/apple/coreml/llama 2025-06-05T23:20:09.8161308Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/llama/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/apple/coreml/llama 2025-06-05T23:20:09.8161816Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/apple/coreml/scripts 2025-06-05T23:20:09.8163027Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/scripts/debugger_cli.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/apple/coreml/scripts 2025-06-05T23:20:09.8164055Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/scripts/export.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/apple/coreml/scripts 2025-06-05T23:20:09.8165434Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/scripts/extract_coreml_models.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/apple/coreml/scripts 2025-06-05T23:20:09.8166697Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/scripts/inspector_cli.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/apple/coreml/scripts 2025-06-05T23:20:09.8167979Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/scripts/inspector_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/apple/coreml/scripts 2025-06-05T23:20:09.8168234Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/apple/mps 2025-06-05T23:20:09.8168488Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/apple/mps/scripts 2025-06-05T23:20:09.8169608Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/mps/scripts/bench_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/apple/mps/scripts 2025-06-05T23:20:09.8170828Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/mps/scripts/mps_example.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/apple/mps/scripts 2025-06-05T23:20:09.8171091Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension 2025-06-05T23:20:09.8171509Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/export_util 2025-06-05T23:20:09.8172836Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/export_util/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/export_util 2025-06-05T23:20:09.8173606Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/export_util/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/export_util 2025-06-05T23:20:09.8173920Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/flat_tensor 2025-06-05T23:20:09.8175030Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/flat_tensor 2025-06-05T23:20:09.8175537Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/flat_tensor/serialize 2025-06-05T23:20:09.8176535Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/serialize/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/flat_tensor/serialize 2025-06-05T23:20:09.8177941Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/serialize/flat_tensor_schema.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/flat_tensor/serialize 2025-06-05T23:20:09.8178870Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/serialize/serialize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/flat_tensor/serialize 2025-06-05T23:20:09.8180214Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/serialize/flat_tensor.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/flat_tensor/serialize 2025-06-05T23:20:09.8181061Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/serialize/scalar_type.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/flat_tensor/serialize 2025-06-05T23:20:09.8181488Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/flat_tensor/test 2025-06-05T23:20:09.8182709Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/test/test_serialize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/flat_tensor/test 2025-06-05T23:20:09.8183142Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/gguf_util 2025-06-05T23:20:09.8183949Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/gguf_util/convert_main.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/gguf_util 2025-06-05T23:20:09.8184535Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/gguf_util/converter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/gguf_util 2025-06-05T23:20:09.8185605Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/gguf_util/load_gguf.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/gguf_util 2025-06-05T23:20:09.8186300Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/gguf_util/converters 2025-06-05T23:20:09.8187148Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/gguf_util/converters/llama_converter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/gguf_util/converters 2025-06-05T23:20:09.8187395Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/pybindings 2025-06-05T23:20:09.8188553Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings/portable_lib.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/pybindings 2025-06-05T23:20:09.8189016Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/pybindings/test 2025-06-05T23:20:09.8189878Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings/test/make_test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/pybindings/test 2025-06-05T23:20:09.8191220Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings/test/test_backend_pybinding.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/pybindings/test 2025-06-05T23:20:09.8192319Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings/test/test_pybindings.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/pybindings/test 2025-06-05T23:20:09.8193388Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings/pybindings.pyi -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/pybindings 2025-06-05T23:20:09.8194642Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings/_portable_lib.cpython-310-x86_64-linux-gnu.so -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/pybindings 2025-06-05T23:20:09.8194895Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/pytree 2025-06-05T23:20:09.8195957Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pytree/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/pytree 2025-06-05T23:20:09.8196399Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/pytree/test 2025-06-05T23:20:09.8197289Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pytree/test/test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/pytree/test 2025-06-05T23:20:09.8197711Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/training 2025-06-05T23:20:09.8198797Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/training 2025-06-05T23:20:09.8199195Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/training/pybindings 2025-06-05T23:20:09.8200323Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/pybindings/_training_module.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/training/pybindings 2025-06-05T23:20:09.8200898Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/training/pybindings/test 2025-06-05T23:20:09.8201992Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/pybindings/test/test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/training/pybindings/test 2025-06-05T23:20:09.8202739Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/pybindings/_training_lib.pyi -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/training/pybindings 2025-06-05T23:20:09.8203192Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/training/examples 2025-06-05T23:20:09.8203688Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/training/examples/XOR 2025-06-05T23:20:09.8204948Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/examples/XOR/export_model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/training/examples/XOR 2025-06-05T23:20:09.8205831Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/examples/XOR/model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/training/examples/XOR 2025-06-05T23:20:09.8206384Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/training/examples/XOR/test 2025-06-05T23:20:09.8207810Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/examples/XOR/test/test_export.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/training/examples/XOR/test 2025-06-05T23:20:09.8208024Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm 2025-06-05T23:20:09.8208350Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/custom_ops 2025-06-05T23:20:09.8209526Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/custom_ops 2025-06-05T23:20:09.8210462Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops/custom_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/custom_ops 2025-06-05T23:20:09.8211399Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops/model_sharding.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/custom_ops 2025-06-05T23:20:09.8212632Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops/op_tile_crop_aot.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/custom_ops 2025-06-05T23:20:09.8213386Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops/preprocess_custom_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/custom_ops 2025-06-05T23:20:09.8214245Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops/test_preprocess_custom_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/custom_ops 2025-06-05T23:20:09.8215521Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops/test_quantized_sdpa.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/custom_ops 2025-06-05T23:20:09.8216423Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops/test_sdpa_with_kv_cache.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/custom_ops 2025-06-05T23:20:09.8217703Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops/test_update_cache.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/custom_ops 2025-06-05T23:20:09.8218239Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/custom_ops/spinquant 2025-06-05T23:20:09.8219358Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops/spinquant/special_hadamard_code_gen.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/custom_ops/spinquant 2025-06-05T23:20:09.8220055Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/custom_ops/spinquant/third-party 2025-06-05T23:20:09.8220727Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/custom_ops/spinquant/third-party/FFHT 2025-06-05T23:20:09.8222068Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops/spinquant/third-party/FFHT/example.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/custom_ops/spinquant/third-party/FFHT 2025-06-05T23:20:09.8223515Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops/spinquant/third-party/FFHT/gen.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/custom_ops/spinquant/third-party/FFHT 2025-06-05T23:20:09.8224450Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops/libcustom_ops_aot_lib.so -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/custom_ops 2025-06-05T23:20:09.8224879Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/export 2025-06-05T23:20:09.8226076Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/export 2025-06-05T23:20:09.8226694Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export/builder.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/export 2025-06-05T23:20:09.8227319Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export/export_passes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/export 2025-06-05T23:20:09.8227976Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export/partitioner_lib.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/export 2025-06-05T23:20:09.8228593Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export/quantizer_lib.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/export 2025-06-05T23:20:09.8229783Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export/test_export_passes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/export 2025-06-05T23:20:09.8230263Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/export/test 2025-06-05T23:20:09.8231196Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export/test/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/export/test 2025-06-05T23:20:09.8231914Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export/test/test_builder.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/export/test 2025-06-05T23:20:09.8232322Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/modules 2025-06-05T23:20:09.8233447Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/modules 2025-06-05T23:20:09.8234365Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules/_position_embeddings.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/modules 2025-06-05T23:20:09.8235004Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules/attention.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/modules 2025-06-05T23:20:09.8235605Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules/kv_cache.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/modules 2025-06-05T23:20:09.8235885Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/modules/test 2025-06-05T23:20:09.8236521Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules/test/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/modules/test 2025-06-05T23:20:09.8237198Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules/test/test_attention.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/modules/test 2025-06-05T23:20:09.8238324Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules/test/test_kv_cache.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/modules/test 2025-06-05T23:20:09.8239697Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules/test/test_position_embeddings.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/modules/test 2025-06-05T23:20:09.8239953Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers 2025-06-05T23:20:09.8240598Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/setup.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers 2025-06-05T23:20:09.8241194Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/pytorch_tokenizers 2025-06-05T23:20:09.8242692Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/pytorch_tokenizers 2025-06-05T23:20:09.8243633Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers/constants.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/pytorch_tokenizers 2025-06-05T23:20:09.8244958Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers/hf_tokenizer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/pytorch_tokenizers 2025-06-05T23:20:09.8246233Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers/llama2c.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/pytorch_tokenizers 2025-06-05T23:20:09.8247078Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers/tiktoken.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/pytorch_tokenizers 2025-06-05T23:20:09.8247455Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools 2025-06-05T23:20:09.8248664Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/pytorch_tokenizers/tools 2025-06-05T23:20:09.8249448Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c 2025-06-05T23:20:09.8250616Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c 2025-06-05T23:20:09.8252178Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c/convert.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c 2025-06-05T23:20:09.8252707Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/test 2025-06-05T23:20:09.8253640Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/test/test_tiktoken.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/test 2025-06-05T23:20:09.8253966Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/third-party 2025-06-05T23:20:09.8254326Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/third-party/abseil-cpp 2025-06-05T23:20:09.8255190Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/abseil-cpp/conanfile.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/abseil-cpp 2025-06-05T23:20:09.8256058Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/abseil-cpp/create_lts.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/abseil-cpp 2025-06-05T23:20:09.8256448Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl 2025-06-05T23:20:09.8256960Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/copts 2025-06-05T23:20:09.8257927Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/copts/copts.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/copts 2025-06-05T23:20:09.8259551Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/copts/generate_copts.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/copts 2025-06-05T23:20:09.8260890Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/abseil.podspec.gen.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl 2025-06-05T23:20:09.8261315Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/third-party/json 2025-06-05T23:20:09.8261666Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/third-party/json/docs 2025-06-05T23:20:09.8262176Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/third-party/json/docs/mkdocs 2025-06-05T23:20:09.8262970Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/third-party/json/docs/mkdocs/scripts 2025-06-05T23:20:09.8264496Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/docs/mkdocs/scripts/check_structure.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/json/docs/mkdocs/scripts 2025-06-05T23:20:09.8264885Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/third-party/json/tests 2025-06-05T23:20:09.8265641Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/third-party/json/tests/thirdparty 2025-06-05T23:20:09.8266511Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/third-party/json/tests/thirdparty/imapdl 2025-06-05T23:20:09.8267943Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/tests/thirdparty/imapdl/filterbr.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/json/tests/thirdparty/imapdl 2025-06-05T23:20:09.8268624Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/third-party/json/tools 2025-06-05T23:20:09.8269402Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/third-party/json/tools/amalgamate 2025-06-05T23:20:09.8270489Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/tools/amalgamate/amalgamate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/json/tools/amalgamate 2025-06-05T23:20:09.8271041Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/third-party/json/tools/gdb_pretty_printer 2025-06-05T23:20:09.8273135Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/tools/gdb_pretty_printer/nlohmann-json.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/json/tools/gdb_pretty_printer 2025-06-05T23:20:09.8273744Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/third-party/json/tools/generate_natvis 2025-06-05T23:20:09.8275720Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/tools/generate_natvis/generate_natvis.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/json/tools/generate_natvis 2025-06-05T23:20:09.8276193Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/third-party/json/tools/serve_header 2025-06-05T23:20:09.8278057Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/tools/serve_header/serve_header.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/json/tools/serve_header 2025-06-05T23:20:09.8278610Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/third-party/pcre2 2025-06-05T23:20:09.8279117Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/third-party/pcre2/maint 2025-06-05T23:20:09.8280855Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/pcre2/maint/GenerateCommon.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/pcre2/maint 2025-06-05T23:20:09.8282459Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/pcre2/maint/GenerateTest.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/pcre2/maint 2025-06-05T23:20:09.8284076Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/pcre2/maint/GenerateUcd.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/pcre2/maint 2025-06-05T23:20:09.8285723Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/pcre2/maint/GenerateUcpHeader.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/pcre2/maint 2025-06-05T23:20:09.8287509Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/pcre2/maint/GenerateUcpTables.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/pcre2/maint 2025-06-05T23:20:09.8288429Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/pcre2/maint/UpdateCommon.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/pcre2/maint 2025-06-05T23:20:09.8289988Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/pcre2/maint/UpdateDates.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/pcre2/maint 2025-06-05T23:20:09.8291251Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/pcre2/maint/UpdateRelease.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/pcre2/maint 2025-06-05T23:20:09.8291841Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/third-party/re2 2025-06-05T23:20:09.8292544Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/third-party/re2/benchlog 2025-06-05T23:20:09.8293800Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/benchlog/benchplot.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/re2/benchlog 2025-06-05T23:20:09.8294173Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/third-party/re2/python 2025-06-05T23:20:09.8295455Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/python/re2.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/re2/python 2025-06-05T23:20:09.8296855Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/python/re2_test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/re2/python 2025-06-05T23:20:09.8298208Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/python/setup.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/re2/python 2025-06-05T23:20:09.8299001Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/third-party/re2/python/toolchains 2025-06-05T23:20:09.8300750Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/python/toolchains/generate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/re2/python/toolchains 2025-06-05T23:20:09.8301401Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/third-party/re2/re2 2025-06-05T23:20:09.8302343Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/re2/make_unicode_casefold.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/re2/re2 2025-06-05T23:20:09.8303897Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/re2/make_unicode_groups.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/re2/re2 2025-06-05T23:20:09.8305188Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/re2/unicode.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/re2/re2 2025-06-05T23:20:09.8306082Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/third-party/sentencepiece 2025-06-05T23:20:09.8306835Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/third-party/sentencepiece/python 2025-06-05T23:20:09.8308397Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/setup.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/sentencepiece/python 2025-06-05T23:20:09.8309233Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/test 2025-06-05T23:20:09.8311040Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/test/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/sentencepiece/python/test 2025-06-05T23:20:09.8312389Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/test/sentencepiece_test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/sentencepiece/python/test 2025-06-05T23:20:09.8313196Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src 2025-06-05T23:20:09.8314162Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece 2025-06-05T23:20:09.8315821Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece 2025-06-05T23:20:09.8317534Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece/_version.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece 2025-06-05T23:20:09.8319662Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece/sentencepiece_model_pb2.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece 2025-06-05T23:20:09.8321561Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece/sentencepiece_pb2.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece 2025-06-05T23:20:09.8322072Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/build 2025-06-05T23:20:09.8322448Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/build/lib 2025-06-05T23:20:09.8322962Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers 2025-06-05T23:20:09.8324128Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers 2025-06-05T23:20:09.8325791Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/constants.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers 2025-06-05T23:20:09.8326859Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/hf_tokenizer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers 2025-06-05T23:20:09.8328709Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/llama2c.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers 2025-06-05T23:20:09.8330308Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/tiktoken.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers 2025-06-05T23:20:09.8331047Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/tools 2025-06-05T23:20:09.8332225Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/tools/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/tools 2025-06-05T23:20:09.8333128Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/tools/llama2c 2025-06-05T23:20:09.8334528Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/tools/llama2c/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/tools/llama2c 2025-06-05T23:20:09.8336472Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/tools/llama2c/convert.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/tools/llama2c 2025-06-05T23:20:09.8336720Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/module 2025-06-05T23:20:09.8336954Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/module/test 2025-06-05T23:20:09.8337224Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/module/test/resources 2025-06-05T23:20:09.8338613Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/module/test/resources/gen_bundled_program.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/module/test/resources 2025-06-05T23:20:09.8338970Z creating pip-out/bdist.linux-x86_64/wheel/executorch/kernels 2025-06-05T23:20:09.8339339Z creating pip-out/bdist.linux-x86_64/wheel/executorch/kernels/quantized 2025-06-05T23:20:09.8339920Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/kernels/quantized/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/kernels/quantized 2025-06-05T23:20:09.8340273Z creating pip-out/bdist.linux-x86_64/wheel/executorch/kernels/quantized/test 2025-06-05T23:20:09.8341530Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/kernels/quantized/test/test_out_variants.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/kernels/quantized/test 2025-06-05T23:20:09.8342460Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/kernels/quantized/test/test_quant_dequant_per_token.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/kernels/quantized/test 2025-06-05T23:20:09.8343863Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/kernels/quantized/test/supported_features_def.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/kernels/quantized/test 2025-06-05T23:20:09.8344795Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/kernels/quantized/quantized.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/kernels/quantized 2025-06-05T23:20:09.8345481Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/kernels/quantized/libquantized_ops_aot_lib.so -> pip-out/bdist.linux-x86_64/wheel/./executorch/kernels/quantized 2025-06-05T23:20:09.8345789Z creating pip-out/bdist.linux-x86_64/wheel/executorch/schema 2025-06-05T23:20:09.8346673Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/schema/program.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/schema 2025-06-05T23:20:09.8347537Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/schema/scalar_type.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/schema 2025-06-05T23:20:09.8348038Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/version.py -> pip-out/bdist.linux-x86_64/wheel/./executorch 2025-06-05T23:20:09.8348217Z creating pip-out/bdist.linux-x86_64/wheel/executorch/share 2025-06-05T23:20:09.8348425Z creating pip-out/bdist.linux-x86_64/wheel/executorch/share/cmake 2025-06-05T23:20:09.8349377Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/share/cmake/executorch-config.cmake -> pip-out/bdist.linux-x86_64/wheel/./executorch/share/cmake 2025-06-05T23:20:09.8349719Z creating pip-out/bdist.linux-x86_64/wheel/executorch/include 2025-06-05T23:20:09.8350148Z creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch 2025-06-05T23:20:09.8350596Z creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/runtime 2025-06-05T23:20:09.8350981Z creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/runtime/core 2025-06-05T23:20:09.8351893Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/array_ref.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core 2025-06-05T23:20:09.8353282Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/data_loader.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core 2025-06-05T23:20:09.8354153Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/defines.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core 2025-06-05T23:20:09.8355500Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/error.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core 2025-06-05T23:20:09.8356472Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/evalue.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core 2025-06-05T23:20:09.8357589Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/event_tracer.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core 2025-06-05T23:20:09.8358890Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/event_tracer_hooks.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core 2025-06-05T23:20:09.8360052Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/event_tracer_hooks_delegate.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core 2025-06-05T23:20:09.8361359Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/freeable_buffer.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core 2025-06-05T23:20:09.8362519Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/function_ref.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core 2025-06-05T23:20:09.8363945Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/hierarchical_allocator.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core 2025-06-05T23:20:09.8365262Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/memory_allocator.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core 2025-06-05T23:20:09.8366404Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/named_data_map.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core 2025-06-05T23:20:09.8367106Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/result.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core 2025-06-05T23:20:09.8368074Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/span.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core 2025-06-05T23:20:09.8369488Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/tag.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core 2025-06-05T23:20:09.8370228Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/tensor_layout.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core 2025-06-05T23:20:09.8370997Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/tensor_shape_dynamism.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core 2025-06-05T23:20:09.8371324Z creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/runtime/core/exec_aten 2025-06-05T23:20:09.8372850Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/exec_aten.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/exec_aten 2025-06-05T23:20:09.8373610Z creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/runtime/core/exec_aten/testing_util 2025-06-05T23:20:09.8374625Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/testing_util/tensor_factory.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/exec_aten/testing_util 2025-06-05T23:20:09.8375541Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/testing_util/tensor_util.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/exec_aten/testing_util 2025-06-05T23:20:09.8376036Z creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/runtime/core/exec_aten/util 2025-06-05T23:20:09.8377660Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/util/dim_order_util.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/exec_aten/util 2025-06-05T23:20:09.8378627Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/util/scalar_type_util.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/exec_aten/util 2025-06-05T23:20:09.8379569Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/util/tensor_dimension_limit.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/exec_aten/util 2025-06-05T23:20:09.8381264Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/util/tensor_shape_to_c_string.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/exec_aten/util 2025-06-05T23:20:09.8382211Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/util/tensor_util.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/exec_aten/util 2025-06-05T23:20:09.8382706Z creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/runtime/core/portable_type 2025-06-05T23:20:09.8384493Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/bfloat16.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type 2025-06-05T23:20:09.8385985Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/bfloat16_math.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type 2025-06-05T23:20:09.8387200Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/bits_types.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type 2025-06-05T23:20:09.8388347Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/complex.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type 2025-06-05T23:20:09.8389946Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/device.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type 2025-06-05T23:20:09.8391204Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/half.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type 2025-06-05T23:20:09.8392671Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/optional.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type 2025-06-05T23:20:09.8393768Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/qint_types.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type 2025-06-05T23:20:09.8395306Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/scalar.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type 2025-06-05T23:20:09.8396676Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/scalar_type.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type 2025-06-05T23:20:09.8397991Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/string_view.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type 2025-06-05T23:20:09.8399592Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/tensor.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type 2025-06-05T23:20:09.8400588Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/tensor_impl.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type 2025-06-05T23:20:09.8402205Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/tensor_options.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type 2025-06-05T23:20:09.8402761Z creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/runtime/core/portable_type/c10 2025-06-05T23:20:09.8403174Z creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/runtime/core/portable_type/c10/c10 2025-06-05T23:20:09.8403946Z creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/runtime/core/portable_type/c10/c10/macros 2025-06-05T23:20:09.8405506Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/macros/Export.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/macros 2025-06-05T23:20:09.8406853Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/macros/Macros.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/macros 2025-06-05T23:20:09.8407652Z creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-06-05T23:20:09.8408962Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/BFloat16-inl.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-06-05T23:20:09.8410842Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/BFloat16-math.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-06-05T23:20:09.8412378Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-06-05T23:20:09.8413868Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-06-05T23:20:09.8415413Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/Half.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-06-05T23:20:09.8416792Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/TypeSafeSignMath.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-06-05T23:20:09.8418495Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/bit_cast.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-06-05T23:20:09.8419996Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/complex.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-06-05T23:20:09.8421584Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/complex_math.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-06-05T23:20:09.8423447Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/complex_utils.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-06-05T23:20:09.8425022Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/floating_point_utils.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-06-05T23:20:09.8426404Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/irange.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-06-05T23:20:09.8426800Z creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/runtime/kernel 2025-06-05T23:20:09.8428277Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel/kernel_includes.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/kernel 2025-06-05T23:20:09.8429379Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel/kernel_runtime_context.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/kernel 2025-06-05T23:20:09.8430957Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel/operator_registry.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/kernel 2025-06-05T23:20:09.8432073Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel/thread_parallel_interface.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/kernel 2025-06-05T23:20:09.8432655Z creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/runtime/kernel/test 2025-06-05T23:20:09.8433945Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel/test/test_util.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/kernel/test 2025-06-05T23:20:09.8434389Z creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/runtime/platform 2025-06-05T23:20:09.8435647Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/abort.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/platform 2025-06-05T23:20:09.8436878Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/assert.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/platform 2025-06-05T23:20:09.8437855Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/clock.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/platform 2025-06-05T23:20:09.8439319Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/compat_unistd.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/platform 2025-06-05T23:20:09.8440505Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/compiler.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/platform 2025-06-05T23:20:09.8441818Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/log.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/platform 2025-06-05T23:20:09.8442585Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/platform.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/platform 2025-06-05T23:20:09.8443897Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/profiler.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/platform 2025-06-05T23:20:09.8445047Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/runtime.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/platform 2025-06-05T23:20:09.8446158Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/system.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/platform 2025-06-05T23:20:09.8447503Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/types.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/platform 2025-06-05T23:20:09.8447836Z creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/runtime/platform/test 2025-06-05T23:20:09.8449155Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/test/pal_spy.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/platform/test 2025-06-05T23:20:09.8450404Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/test/stub_platform.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/platform/test 2025-06-05T23:20:09.8450683Z creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/extension 2025-06-05T23:20:09.8451254Z creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/extension/kernel_util 2025-06-05T23:20:09.8452913Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/extension/kernel_util 2025-06-05T23:20:09.8454017Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/kernel_util/meta_programming.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/extension/kernel_util 2025-06-05T23:20:09.8455489Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/kernel_util/type_list.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/extension/kernel_util 2025-06-05T23:20:09.8455898Z creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/extension/tensor 2025-06-05T23:20:09.8456926Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/tensor/tensor.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/extension/tensor 2025-06-05T23:20:09.8458413Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/tensor/tensor_accessor.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/extension/tensor 2025-06-05T23:20:09.8459663Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/tensor/tensor_ptr.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/extension/tensor 2025-06-05T23:20:09.8460912Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/tensor/tensor_ptr_maker.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/extension/tensor 2025-06-05T23:20:09.8461264Z creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/extension/threadpool 2025-06-05T23:20:09.8462408Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/threadpool/cpuinfo_utils.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/extension/threadpool 2025-06-05T23:20:09.8463830Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/threadpool/threadpool.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/extension/threadpool 2025-06-05T23:20:09.8465275Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/threadpool/threadpool_guard.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/extension/threadpool 2025-06-05T23:20:09.8465591Z creating pip-out/bdist.linux-x86_64/wheel/executorch/data 2025-06-05T23:20:09.8465926Z creating pip-out/bdist.linux-x86_64/wheel/executorch/data/bin 2025-06-05T23:20:09.8466448Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/data/bin/flatc -> pip-out/bdist.linux-x86_64/wheel/./executorch/data/bin 2025-06-05T23:20:09.8467325Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/data/bin/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/data/bin 2025-06-05T23:20:09.8467505Z running install_egg_info 2025-06-05T23:20:09.8468214Z Copying executorch.egg-info to pip-out/bdist.linux-x86_64/wheel/./executorch-0.7.0a0+bd57234-py3.10.egg-info 2025-06-05T23:20:09.8468374Z running install_scripts 2025-06-05T23:20:09.8468658Z creating pip-out/bdist.linux-x86_64/wheel/executorch-0.7.0a0+bd57234.dist-info/WHEEL 2025-06-05T23:20:09.8469523Z creating '/tmp/pip-wheel-ge2jqlr7/.tmp-j8awtn39/executorch-0.7.0a0+bd57234-cp310-cp310-linux_x86_64.whl' and adding 'pip-out/bdist.linux-x86_64/wheel' to it 2025-06-05T23:20:09.8469708Z adding 'executorch/version.py' 2025-06-05T23:20:09.8470347Z adding 'executorch/backends/apple/coreml/executorchcoreml.cpython-310-x86_64-linux-gnu.so' 2025-06-05T23:20:09.8470741Z adding 'executorch/backends/apple/coreml/executorchcoreml.pyi' 2025-06-05T23:20:09.8471111Z adding 'executorch/backends/apple/coreml/compiler/__init__.py' 2025-06-05T23:20:09.8471464Z adding 'executorch/backends/apple/coreml/compiler/coreml_preprocess.py' 2025-06-05T23:20:09.8471663Z adding 'executorch/backends/apple/coreml/partition/__init__.py' 2025-06-05T23:20:09.8471921Z adding 'executorch/backends/apple/coreml/partition/coreml_partitioner.py' 2025-06-05T23:20:09.8472187Z adding 'executorch/backends/apple/coreml/quantizer/__init__.py' 2025-06-05T23:20:09.8472601Z adding 'executorch/backends/apple/coreml/quantizer/coreml_quantizer.py' 2025-06-05T23:20:09.8473248Z adding 'executorch/backends/apple/coreml/runtime/test/export_stateful_model.py' 2025-06-05T23:20:09.8473703Z adding 'executorch/backends/apple/coreml/test/test_coreml_partitioner.py' 2025-06-05T23:20:09.8474119Z adding 'executorch/backends/apple/coreml/test/test_coreml_quantizer.py' 2025-06-05T23:20:09.8474555Z adding 'executorch/backends/apple/mps/__init__.py' 2025-06-05T23:20:09.8474852Z adding 'executorch/backends/apple/mps/mps_preprocess.py' 2025-06-05T23:20:09.8475182Z adding 'executorch/backends/apple/mps/operators/__init__.py' 2025-06-05T23:20:09.8475586Z adding 'executorch/backends/apple/mps/operators/activation_ops.py' 2025-06-05T23:20:09.8475936Z adding 'executorch/backends/apple/mps/operators/binary_ops.py' 2025-06-05T23:20:09.8476268Z adding 'executorch/backends/apple/mps/operators/clamp_ops.py' 2025-06-05T23:20:09.8476613Z adding 'executorch/backends/apple/mps/operators/constant_ops.py' 2025-06-05T23:20:09.8476860Z adding 'executorch/backends/apple/mps/operators/convolution_ops.py' 2025-06-05T23:20:09.8477084Z adding 'executorch/backends/apple/mps/operators/indexing_ops.py' 2025-06-05T23:20:09.8477484Z adding 'executorch/backends/apple/mps/operators/linear_algebra_ops.py' 2025-06-05T23:20:09.8477857Z adding 'executorch/backends/apple/mps/operators/node_visitor.py' 2025-06-05T23:20:09.8478293Z adding 'executorch/backends/apple/mps/operators/normalization_ops.py' 2025-06-05T23:20:09.8478623Z adding 'executorch/backends/apple/mps/operators/op_clone.py' 2025-06-05T23:20:09.8478982Z adding 'executorch/backends/apple/mps/operators/op_getitem.py' 2025-06-05T23:20:09.8479277Z adding 'executorch/backends/apple/mps/operators/op_quant_dequant.py' 2025-06-05T23:20:09.8479471Z adding 'executorch/backends/apple/mps/operators/op_skip_ops.py' 2025-06-05T23:20:09.8479689Z adding 'executorch/backends/apple/mps/operators/pad_ops.py' 2025-06-05T23:20:09.8480055Z adding 'executorch/backends/apple/mps/operators/pooling_ops.py' 2025-06-05T23:20:09.8480383Z adding 'executorch/backends/apple/mps/operators/range_ops.py' 2025-06-05T23:20:09.8480738Z adding 'executorch/backends/apple/mps/operators/reduce_ops.py' 2025-06-05T23:20:09.8481090Z adding 'executorch/backends/apple/mps/operators/shape_ops.py' 2025-06-05T23:20:09.8481417Z adding 'executorch/backends/apple/mps/operators/unary_ops.py' 2025-06-05T23:20:09.8481711Z adding 'executorch/backends/apple/mps/partition/__init__.py' 2025-06-05T23:20:09.8481943Z adding 'executorch/backends/apple/mps/partition/mps_partitioner.py' 2025-06-05T23:20:09.8482190Z adding 'executorch/backends/apple/mps/serialization/mps_graph_schema.py' 2025-06-05T23:20:09.8482481Z adding 'executorch/backends/apple/mps/serialization/mps_graph_serialize.py' 2025-06-05T23:20:09.8482836Z adding 'executorch/backends/apple/mps/serialization/schema.fbs' 2025-06-05T23:20:09.8483124Z adding 'executorch/backends/apple/mps/test/test_mps.py' 2025-06-05T23:20:09.8483506Z adding 'executorch/backends/apple/mps/test/test_mps_binary_ops.py' 2025-06-05T23:20:09.8483911Z adding 'executorch/backends/apple/mps/test/test_mps_indexing_ops.py' 2025-06-05T23:20:09.8484265Z adding 'executorch/backends/apple/mps/test/test_mps_linear.py' 2025-06-05T23:20:09.8484546Z adding 'executorch/backends/apple/mps/test/test_mps_models.py' 2025-06-05T23:20:09.8484784Z adding 'executorch/backends/apple/mps/test/test_mps_unary_ops.py' 2025-06-05T23:20:09.8485129Z adding 'executorch/backends/apple/mps/test/test_mps_utils.py' 2025-06-05T23:20:09.8485618Z adding 'executorch/backends/apple/mps/utils/mps_utils.py' 2025-06-05T23:20:09.8485961Z adding 'executorch/backends/apple/mps/utils/quant_utils.py' 2025-06-05T23:20:09.8486212Z adding 'executorch/backends/arm/arm_backend.py' 2025-06-05T23:20:09.8486429Z adding 'executorch/backends/arm/arm_vela.py' 2025-06-05T23:20:09.8486664Z adding 'executorch/backends/arm/ethosu_backend.py' 2025-06-05T23:20:09.8486895Z adding 'executorch/backends/arm/ethosu_partitioner.py' 2025-06-05T23:20:09.8487046Z adding 'executorch/backends/arm/process_node.py' 2025-06-05T23:20:09.8487229Z adding 'executorch/backends/arm/tosa_backend.py' 2025-06-05T23:20:09.8487450Z adding 'executorch/backends/arm/tosa_mapping.py' 2025-06-05T23:20:09.8487723Z adding 'executorch/backends/arm/tosa_partitioner.py' 2025-06-05T23:20:09.8487974Z adding 'executorch/backends/arm/tosa_quant_utils.py' 2025-06-05T23:20:09.8488387Z adding 'executorch/backends/arm/tosa_specification.py' 2025-06-05T23:20:09.8488628Z adding 'executorch/backends/arm/tosa_utils.py' 2025-06-05T23:20:09.8488867Z adding 'executorch/backends/arm/vgf_backend.py' 2025-06-05T23:20:09.8489113Z adding 'executorch/backends/arm/vgf_partitioner.py' 2025-06-05T23:20:09.8489321Z adding 'executorch/backends/arm/_passes/__init__.py' 2025-06-05T23:20:09.8489586Z adding 'executorch/backends/arm/_passes/_debug_passes.py' 2025-06-05T23:20:09.8490067Z adding 'executorch/backends/arm/_passes/annotate_channels_last_dim_order_pass.py' 2025-06-05T23:20:09.8490481Z adding 'executorch/backends/arm/_passes/annotate_decomposed_matmul.py' 2025-06-05T23:20:09.8490769Z adding 'executorch/backends/arm/_passes/arm_pass.py' 2025-06-05T23:20:09.8491087Z adding 'executorch/backends/arm/_passes/arm_pass_manager.py' 2025-06-05T23:20:09.8491380Z adding 'executorch/backends/arm/_passes/arm_pass_utils.py' 2025-06-05T23:20:09.8491625Z adding 'executorch/backends/arm/_passes/broadcast_args_pass.py' 2025-06-05T23:20:09.8491794Z adding 'executorch/backends/arm/_passes/cast_int64_pass.py' 2025-06-05T23:20:09.8491980Z adding 'executorch/backends/arm/_passes/cast_to_int32_pass.py' 2025-06-05T23:20:09.8492397Z adding 'executorch/backends/arm/_passes/conv1d_unsqueeze_pass.py' 2025-06-05T23:20:09.8492844Z adding 'executorch/backends/arm/_passes/convert_any_default_dim_dims_pass.py' 2025-06-05T23:20:09.8493288Z adding 'executorch/backends/arm/_passes/convert_expand_copy_to_repeat.py' 2025-06-05T23:20:09.8493733Z adding 'executorch/backends/arm/_passes/convert_full_like_to_full_pass.py' 2025-06-05T23:20:09.8494089Z adding 'executorch/backends/arm/_passes/convert_int_pow_to_mul.py' 2025-06-05T23:20:09.8494314Z adding 'executorch/backends/arm/_passes/convert_minmax_pass.py' 2025-06-05T23:20:09.8494680Z adding 'executorch/backends/arm/_passes/convert_split_to_slice.py' 2025-06-05T23:20:09.8495071Z adding 'executorch/backends/arm/_passes/convert_squeezes_to_view.py' 2025-06-05T23:20:09.8495412Z adding 'executorch/backends/arm/_passes/convert_to_clamp.py' 2025-06-05T23:20:09.8495890Z adding 'executorch/backends/arm/_passes/decompose_cosine_similarity_pass.py' 2025-06-05T23:20:09.8496226Z adding 'executorch/backends/arm/_passes/decompose_div_pass.py' 2025-06-05T23:20:09.8496476Z adding 'executorch/backends/arm/_passes/decompose_gelu_pass.py' 2025-06-05T23:20:09.8496688Z adding 'executorch/backends/arm/_passes/decompose_groupnorm_pass.py' 2025-06-05T23:20:09.8497032Z adding 'executorch/backends/arm/_passes/decompose_layernorm_pass.py' 2025-06-05T23:20:09.8497420Z adding 'executorch/backends/arm/_passes/decompose_leaky_relu_pass.py' 2025-06-05T23:20:09.8497883Z adding 'executorch/backends/arm/_passes/decompose_linalg_vector_norm_pass.py' 2025-06-05T23:20:09.8498266Z adding 'executorch/backends/arm/_passes/decompose_linear_pass.py' 2025-06-05T23:20:09.8498639Z adding 'executorch/backends/arm/_passes/decompose_meandim_pass.py' 2025-06-05T23:20:09.8498909Z adding 'executorch/backends/arm/_passes/decompose_ne_pass.py' 2025-06-05T23:20:09.8499102Z adding 'executorch/backends/arm/_passes/decompose_select.py' 2025-06-05T23:20:09.8499392Z adding 'executorch/backends/arm/_passes/decompose_silu_pass.py' 2025-06-05T23:20:09.8499595Z adding 'executorch/backends/arm/_passes/decompose_softmax_pass.py' 2025-06-05T23:20:09.8499836Z adding 'executorch/backends/arm/_passes/decompose_softmax_unstable_pass.py' 2025-06-05T23:20:09.8500044Z adding 'executorch/backends/arm/_passes/decompose_sqrt_pass.py' 2025-06-05T23:20:09.8500226Z adding 'executorch/backends/arm/_passes/decompose_sum_pass.py' 2025-06-05T23:20:09.8500407Z adding 'executorch/backends/arm/_passes/decompose_var_pass.py' 2025-06-05T23:20:09.8500678Z adding 'executorch/backends/arm/_passes/fold_qdq_with_annotated_qparams_pass.py' 2025-06-05T23:20:09.8500879Z adding 'executorch/backends/arm/_passes/fuse_batchnorm2d_pass.py' 2025-06-05T23:20:09.8501148Z adding 'executorch/backends/arm/_passes/fuse_constant_ops_pass.py' 2025-06-05T23:20:09.8501389Z adding 'executorch/backends/arm/_passes/fuse_equal_placeholders_pass.py' 2025-06-05T23:20:09.8501625Z adding 'executorch/backends/arm/_passes/fuse_quantized_activation_pass.py' 2025-06-05T23:20:09.8501818Z adding 'executorch/backends/arm/_passes/insert_rescales_pass.py' 2025-06-05T23:20:09.8502013Z adding 'executorch/backends/arm/_passes/insert_table_ops.py' 2025-06-05T23:20:09.8502331Z adding 'executorch/backends/arm/_passes/match_arg_ranks_pass.py' 2025-06-05T23:20:09.8502751Z adding 'executorch/backends/arm/_passes/match_where_self_arg_dtype_pass.py' 2025-06-05T23:20:09.8503042Z adding 'executorch/backends/arm/_passes/mm_to_bmm_pass.py' 2025-06-05T23:20:09.8503390Z adding 'executorch/backends/arm/_passes/remove_clone_pass.py' 2025-06-05T23:20:09.8503765Z adding 'executorch/backends/arm/_passes/replace_inf_values_pass.py' 2025-06-05T23:20:09.8504180Z adding 'executorch/backends/arm/_passes/replace_scalar_with_tensor_pass.py' 2025-06-05T23:20:09.8504522Z adding 'executorch/backends/arm/_passes/scalars_to_attribute_pass.py' 2025-06-05T23:20:09.8504902Z adding 'executorch/backends/arm/_passes/size_adjust_conv2d_pass.py' 2025-06-05T23:20:09.8505328Z adding 'executorch/backends/arm/_passes/unsqueeze_before_repeat_pass.py' 2025-06-05T23:20:09.8505819Z adding 'executorch/backends/arm/_passes/unsqueeze_scalar_placeholders_pass.py' 2025-06-05T23:20:09.8506149Z adding 'executorch/backends/arm/operator_support/__init__.py' 2025-06-05T23:20:09.8506466Z adding 'executorch/backends/arm/operator_support/convolution_support.py' 2025-06-05T23:20:09.8506701Z adding 'executorch/backends/arm/operator_support/ethos_u55_support.py' 2025-06-05T23:20:09.8506951Z adding 'executorch/backends/arm/operator_support/minmax_support.py' 2025-06-05T23:20:09.8507336Z adding 'executorch/backends/arm/operator_support/pool_2d_support.py' 2025-06-05T23:20:09.8507752Z adding 'executorch/backends/arm/operator_support/reduce_sum_support.py' 2025-06-05T23:20:09.8508220Z adding 'executorch/backends/arm/operator_support/right_shift_support.py' 2025-06-05T23:20:09.8508624Z adding 'executorch/backends/arm/operator_support/sin_cos_support.py' 2025-06-05T23:20:09.8508979Z adding 'executorch/backends/arm/operator_support/slice_copy_support.py' 2025-06-05T23:20:09.8509206Z adding 'executorch/backends/arm/operator_support/to_copy_support.py' 2025-06-05T23:20:09.8509484Z adding 'executorch/backends/arm/operator_support/tosa_supported_operators.py' 2025-06-05T23:20:09.8509758Z adding 'executorch/backends/arm/operators/__init__.py' 2025-06-05T23:20:09.8510078Z adding 'executorch/backends/arm/operators/node_visitor.py' 2025-06-05T23:20:09.8510337Z adding 'executorch/backends/arm/operators/op_abs.py' 2025-06-05T23:20:09.8510609Z adding 'executorch/backends/arm/operators/op_add.py' 2025-06-05T23:20:09.8511008Z adding 'executorch/backends/arm/operators/op_amax.py' 2025-06-05T23:20:09.8511293Z adding 'executorch/backends/arm/operators/op_amin.py' 2025-06-05T23:20:09.8511551Z adding 'executorch/backends/arm/operators/op_any.py' 2025-06-05T23:20:09.8511757Z adding 'executorch/backends/arm/operators/op_avg_pool2d.py' 2025-06-05T23:20:09.8512029Z adding 'executorch/backends/arm/operators/op_bmm.py' 2025-06-05T23:20:09.8512174Z adding 'executorch/backends/arm/operators/op_cat.py' 2025-06-05T23:20:09.8512325Z adding 'executorch/backends/arm/operators/op_clamp.py' 2025-06-05T23:20:09.8512576Z adding 'executorch/backends/arm/operators/op_constant_pad_nd.py' 2025-06-05T23:20:09.8512850Z adding 'executorch/backends/arm/operators/op_conv2d.py' 2025-06-05T23:20:09.8513104Z adding 'executorch/backends/arm/operators/op_cos.py' 2025-06-05T23:20:09.8513348Z adding 'executorch/backends/arm/operators/op_eq.py' 2025-06-05T23:20:09.8513630Z adding 'executorch/backends/arm/operators/op_erf.py' 2025-06-05T23:20:09.8513896Z adding 'executorch/backends/arm/operators/op_exp.py' 2025-06-05T23:20:09.8514138Z adding 'executorch/backends/arm/operators/op_ge.py' 2025-06-05T23:20:09.8514496Z adding 'executorch/backends/arm/operators/op_gt.py' 2025-06-05T23:20:09.8514724Z adding 'executorch/backends/arm/operators/op_le.py' 2025-06-05T23:20:09.8514880Z adding 'executorch/backends/arm/operators/op_log.py' 2025-06-05T23:20:09.8515031Z adding 'executorch/backends/arm/operators/op_lt.py' 2025-06-05T23:20:09.8515204Z adding 'executorch/backends/arm/operators/op_max_pool2d.py' 2025-06-05T23:20:09.8515443Z adding 'executorch/backends/arm/operators/op_maximum.py' 2025-06-05T23:20:09.8515723Z adding 'executorch/backends/arm/operators/op_minimum.py' 2025-06-05T23:20:09.8515996Z adding 'executorch/backends/arm/operators/op_mul.py' 2025-06-05T23:20:09.8516252Z adding 'executorch/backends/arm/operators/op_neg.py' 2025-06-05T23:20:09.8516561Z adding 'executorch/backends/arm/operators/op_permute.py' 2025-06-05T23:20:09.8516854Z adding 'executorch/backends/arm/operators/op_pow.py' 2025-06-05T23:20:09.8517175Z adding 'executorch/backends/arm/operators/op_reciprocal.py' 2025-06-05T23:20:09.8517432Z adding 'executorch/backends/arm/operators/op_repeat.py' 2025-06-05T23:20:09.8517616Z adding 'executorch/backends/arm/operators/op_rescale.py' 2025-06-05T23:20:09.8517852Z adding 'executorch/backends/arm/operators/op_rshift_tensor.py' 2025-06-05T23:20:09.8518123Z adding 'executorch/backends/arm/operators/op_rsqrt.py' 2025-06-05T23:20:09.8518417Z adding 'executorch/backends/arm/operators/op_sigmoid.py' 2025-06-05T23:20:09.8518690Z adding 'executorch/backends/arm/operators/op_sin.py' 2025-06-05T23:20:09.8518986Z adding 'executorch/backends/arm/operators/op_slice.py' 2025-06-05T23:20:09.8519244Z adding 'executorch/backends/arm/operators/op_sub.py' 2025-06-05T23:20:09.8519516Z adding 'executorch/backends/arm/operators/op_sum.py' 2025-06-05T23:20:09.8519782Z adding 'executorch/backends/arm/operators/op_table.py' 2025-06-05T23:20:09.8519958Z adding 'executorch/backends/arm/operators/op_tanh.py' 2025-06-05T23:20:09.8520228Z adding 'executorch/backends/arm/operators/op_to_copy.py' 2025-06-05T23:20:09.8520602Z adding 'executorch/backends/arm/operators/op_to_dim_order_copy.py' 2025-06-05T23:20:09.8520926Z adding 'executorch/backends/arm/operators/op_transpose.py' 2025-06-05T23:20:09.8521344Z adding 'executorch/backends/arm/operators/op_upsample_bilinear2d.py' 2025-06-05T23:20:09.8521753Z adding 'executorch/backends/arm/operators/op_upsample_nearest2d.py' 2025-06-05T23:20:09.8522011Z adding 'executorch/backends/arm/operators/op_view.py' 2025-06-05T23:20:09.8522182Z adding 'executorch/backends/arm/operators/op_where.py' 2025-06-05T23:20:09.8522437Z adding 'executorch/backends/arm/operators/operator_validation_utils.py' 2025-06-05T23:20:09.8522715Z adding 'executorch/backends/arm/operators/ops_binary.py' 2025-06-05T23:20:09.8523019Z adding 'executorch/backends/arm/operators/ops_identity.py' 2025-06-05T23:20:09.8523317Z adding 'executorch/backends/arm/operators/ops_unary.py' 2025-06-05T23:20:09.8523612Z adding 'executorch/backends/arm/quantizer/__init__.py' 2025-06-05T23:20:09.8523937Z adding 'executorch/backends/arm/quantizer/arm_quantizer.py' 2025-06-05T23:20:09.8524429Z adding 'executorch/backends/arm/quantizer/arm_quantizer_utils.py' 2025-06-05T23:20:09.8524691Z adding 'executorch/backends/arm/quantizer/quantization_annotator.py' 2025-06-05T23:20:09.8524897Z adding 'executorch/backends/arm/quantizer/quantization_config.py' 2025-06-05T23:20:09.8525146Z adding 'executorch/backends/arm/scripts/parse_test_names.py' 2025-06-05T23:20:09.8525385Z adding 'executorch/backends/arm/test/common.py' 2025-06-05T23:20:09.8525626Z adding 'executorch/backends/arm/test/conftest.py' 2025-06-05T23:20:09.8525885Z adding 'executorch/backends/arm/test/runner_utils.py' 2025-06-05T23:20:09.8526164Z adding 'executorch/backends/arm/test/test_model.py' 2025-06-05T23:20:09.8526572Z adding 'executorch/backends/arm/test/misc/test_bn_relu_folding_qat.py' 2025-06-05T23:20:09.8526949Z adding 'executorch/backends/arm/test/misc/test_custom_partition.py' 2025-06-05T23:20:09.8527306Z adding 'executorch/backends/arm/test/misc/test_debug_feats.py' 2025-06-05T23:20:09.8527579Z adding 'executorch/backends/arm/test/misc/test_dim_order_guards.py' 2025-06-05T23:20:09.8527919Z adding 'executorch/backends/arm/test/misc/test_lifted_tensor.py' 2025-06-05T23:20:09.8528290Z adding 'executorch/backends/arm/test/misc/test_model_evaluator.py' 2025-06-05T23:20:09.8528720Z adding 'executorch/backends/arm/test/misc/test_multiple_delegates.py' 2025-06-05T23:20:09.8529100Z adding 'executorch/backends/arm/test/misc/test_multiple_outputs.py' 2025-06-05T23:20:09.8529521Z adding 'executorch/backends/arm/test/misc/test_non_persistent_buffers.py' 2025-06-05T23:20:09.8529841Z adding 'executorch/backends/arm/test/misc/test_partition_decomposed_quantized_ops.py' 2025-06-05T23:20:09.8645280Z adding 'executorch/backends/arm/test/misc/test_tosa_spec.py' 2025-06-05T23:20:09.8645660Z adding 'executorch/backends/arm/test/models/test_conformer.py' 2025-06-05T23:20:09.8646044Z adding 'executorch/backends/arm/test/models/test_deit_tiny_arm.py' 2025-06-05T23:20:09.8646310Z adding 'executorch/backends/arm/test/models/test_dl3_arm.py' 2025-06-05T23:20:09.8646616Z adding 'executorch/backends/arm/test/models/test_llama.py' 2025-06-05T23:20:09.8646962Z adding 'executorch/backends/arm/test/models/test_lstm_arm.py' 2025-06-05T23:20:09.8647373Z adding 'executorch/backends/arm/test/models/test_mobilenet_v2_arm.py' 2025-06-05T23:20:09.8647771Z adding 'executorch/backends/arm/test/models/test_mobilenet_v3_arm.py' 2025-06-05T23:20:09.8648164Z adding 'executorch/backends/arm/test/models/test_nn_functional.py' 2025-06-05T23:20:09.8648453Z adding 'executorch/backends/arm/test/models/test_nn_modules.py' 2025-06-05T23:20:09.8648667Z adding 'executorch/backends/arm/test/models/test_torch_functions.py' 2025-06-05T23:20:09.8648857Z adding 'executorch/backends/arm/test/models/test_w2l_arm.py' 2025-06-05T23:20:09.8649007Z adding 'executorch/backends/arm/test/ops/test_abs.py' 2025-06-05T23:20:09.8649162Z adding 'executorch/backends/arm/test/ops/test_add.py' 2025-06-05T23:20:09.8649341Z adding 'executorch/backends/arm/test/ops/test_alias_copy.py' 2025-06-05T23:20:09.8649513Z adding 'executorch/backends/arm/test/ops/test_amax.py' 2025-06-05T23:20:09.8649666Z adding 'executorch/backends/arm/test/ops/test_amin.py' 2025-06-05T23:20:09.8649810Z adding 'executorch/backends/arm/test/ops/test_any.py' 2025-06-05T23:20:09.8649981Z adding 'executorch/backends/arm/test/ops/test_arange.py' 2025-06-05T23:20:09.8650124Z adding 'executorch/backends/arm/test/ops/test_at.py' 2025-06-05T23:20:09.8650298Z adding 'executorch/backends/arm/test/ops/test_avg_pool2d.py' 2025-06-05T23:20:09.8650483Z adding 'executorch/backends/arm/test/ops/test_batch_norm.py' 2025-06-05T23:20:09.8650648Z adding 'executorch/backends/arm/test/ops/test_bitwise.py' 2025-06-05T23:20:09.8650795Z adding 'executorch/backends/arm/test/ops/test_bmm.py' 2025-06-05T23:20:09.8650940Z adding 'executorch/backends/arm/test/ops/test_cat.py' 2025-06-05T23:20:09.8651112Z adding 'executorch/backends/arm/test/ops/test_clamp.py' 2025-06-05T23:20:09.8651473Z adding 'executorch/backends/arm/test/ops/test_clone.py' 2025-06-05T23:20:09.8651682Z adding 'executorch/backends/arm/test/ops/test_constant_pad_nd.py' 2025-06-05T23:20:09.8651855Z adding 'executorch/backends/arm/test/ops/test_conv1d.py' 2025-06-05T23:20:09.8652017Z adding 'executorch/backends/arm/test/ops/test_conv2d.py' 2025-06-05T23:20:09.8652173Z adding 'executorch/backends/arm/test/ops/test_conv3d.py' 2025-06-05T23:20:09.8652365Z adding 'executorch/backends/arm/test/ops/test_conv_combos.py' 2025-06-05T23:20:09.8652589Z adding 'executorch/backends/arm/test/ops/test_conv_constant_pad_nd.py' 2025-06-05T23:20:09.8652734Z adding 'executorch/backends/arm/test/ops/test_cos.py' 2025-06-05T23:20:09.8652944Z adding 'executorch/backends/arm/test/ops/test_depthwise_conv.py' 2025-06-05T23:20:09.8653091Z adding 'executorch/backends/arm/test/ops/test_div.py' 2025-06-05T23:20:09.8653325Z adding 'executorch/backends/arm/test/ops/test_eq.py' 2025-06-05T23:20:09.8653469Z adding 'executorch/backends/arm/test/ops/test_erf.py' 2025-06-05T23:20:09.8653630Z adding 'executorch/backends/arm/test/ops/test_exp.py' 2025-06-05T23:20:09.8653793Z adding 'executorch/backends/arm/test/ops/test_expand.py' 2025-06-05T23:20:09.8653937Z adding 'executorch/backends/arm/test/ops/test_eye.py' 2025-06-05T23:20:09.8654103Z adding 'executorch/backends/arm/test/ops/test_full.py' 2025-06-05T23:20:09.8654248Z adding 'executorch/backends/arm/test/ops/test_ge.py' 2025-06-05T23:20:09.8654396Z adding 'executorch/backends/arm/test/ops/test_gelu.py' 2025-06-05T23:20:09.8654614Z adding 'executorch/backends/arm/test/ops/test_group_norm.py' 2025-06-05T23:20:09.8654832Z adding 'executorch/backends/arm/test/ops/test_gt.py' 2025-06-05T23:20:09.8655135Z adding 'executorch/backends/arm/test/ops/test_hardsigmoid.py' 2025-06-05T23:20:09.8655434Z adding 'executorch/backends/arm/test/ops/test_hardswish.py' 2025-06-05T23:20:09.8655743Z adding 'executorch/backends/arm/test/ops/test_hardtanh.py' 2025-06-05T23:20:09.8656087Z adding 'executorch/backends/arm/test/ops/test_layer_norm.py' 2025-06-05T23:20:09.8656346Z adding 'executorch/backends/arm/test/ops/test_le.py' 2025-06-05T23:20:09.8656672Z adding 'executorch/backends/arm/test/ops/test_leaky_relu.py' 2025-06-05T23:20:09.8657033Z adding 'executorch/backends/arm/test/ops/test_linalg_vector_norm.py' 2025-06-05T23:20:09.8657224Z adding 'executorch/backends/arm/test/ops/test_linear.py' 2025-06-05T23:20:09.8657406Z adding 'executorch/backends/arm/test/ops/test_log.py' 2025-06-05T23:20:09.8657614Z adding 'executorch/backends/arm/test/ops/test_logical.py' 2025-06-05T23:20:09.8657793Z adding 'executorch/backends/arm/test/ops/test_logsoftmax.py' 2025-06-05T23:20:09.8658025Z adding 'executorch/backends/arm/test/ops/test_lshift.py' 2025-06-05T23:20:09.8658283Z adding 'executorch/backends/arm/test/ops/test_lt.py' 2025-06-05T23:20:09.8658581Z adding 'executorch/backends/arm/test/ops/test_matmul.py' 2025-06-05T23:20:09.8658884Z adding 'executorch/backends/arm/test/ops/test_max_pool.py' 2025-06-05T23:20:09.8659218Z adding 'executorch/backends/arm/test/ops/test_maximum.py' 2025-06-05T23:20:09.8659520Z adding 'executorch/backends/arm/test/ops/test_mean_dim.py' 2025-06-05T23:20:09.8659811Z adding 'executorch/backends/arm/test/ops/test_minimum.py' 2025-06-05T23:20:09.8660075Z adding 'executorch/backends/arm/test/ops/test_mm.py' 2025-06-05T23:20:09.8660336Z adding 'executorch/backends/arm/test/ops/test_mul.py' 2025-06-05T23:20:09.8660591Z adding 'executorch/backends/arm/test/ops/test_ne.py' 2025-06-05T23:20:09.8660927Z adding 'executorch/backends/arm/test/ops/test_neg.py' 2025-06-05T23:20:09.8661213Z adding 'executorch/backends/arm/test/ops/test_ones.py' 2025-06-05T23:20:09.8661510Z adding 'executorch/backends/arm/test/ops/test_permute.py' 2025-06-05T23:20:09.8661776Z adding 'executorch/backends/arm/test/ops/test_pow.py' 2025-06-05T23:20:09.8662118Z adding 'executorch/backends/arm/test/ops/test_reciprocal.py' 2025-06-05T23:20:09.8662387Z adding 'executorch/backends/arm/test/ops/test_relu.py' 2025-06-05T23:20:09.8662859Z adding 'executorch/backends/arm/test/ops/test_repeat.py' 2025-06-05T23:20:09.8663183Z adding 'executorch/backends/arm/test/ops/test_rshift.py' 2025-06-05T23:20:09.8663476Z adding 'executorch/backends/arm/test/ops/test_rsqrt.py' 2025-06-05T23:20:09.8663823Z adding 'executorch/backends/arm/test/ops/test_scalar_tensor.py' 2025-06-05T23:20:09.8664129Z adding 'executorch/backends/arm/test/ops/test_scalars.py' 2025-06-05T23:20:09.8664394Z adding 'executorch/backends/arm/test/ops/test_sdpa.py' 2025-06-05T23:20:09.8664682Z adding 'executorch/backends/arm/test/ops/test_select.py' 2025-06-05T23:20:09.8664973Z adding 'executorch/backends/arm/test/ops/test_sigmoid.py' 2025-06-05T23:20:09.8665353Z adding 'executorch/backends/arm/test/ops/test_sigmoid_16bit.py' 2025-06-05T23:20:09.8665828Z adding 'executorch/backends/arm/test/ops/test_sigmoid_32bit.py' 2025-06-05T23:20:09.8666104Z adding 'executorch/backends/arm/test/ops/test_silu.py' 2025-06-05T23:20:09.8666385Z adding 'executorch/backends/arm/test/ops/test_sin.py' 2025-06-05T23:20:09.8666666Z adding 'executorch/backends/arm/test/ops/test_slice.py' 2025-06-05T23:20:09.8666961Z adding 'executorch/backends/arm/test/ops/test_softmax.py' 2025-06-05T23:20:09.8667273Z adding 'executorch/backends/arm/test/ops/test_split.py' 2025-06-05T23:20:09.8667557Z adding 'executorch/backends/arm/test/ops/test_sqrt.py' 2025-06-05T23:20:09.8667859Z adding 'executorch/backends/arm/test/ops/test_squeeze.py' 2025-06-05T23:20:09.8668131Z adding 'executorch/backends/arm/test/ops/test_sub.py' 2025-06-05T23:20:09.8668397Z adding 'executorch/backends/arm/test/ops/test_sum.py' 2025-06-05T23:20:09.8668669Z adding 'executorch/backends/arm/test/ops/test_tanh.py' 2025-06-05T23:20:09.8668964Z adding 'executorch/backends/arm/test/ops/test_to_copy.py' 2025-06-05T23:20:09.8669274Z adding 'executorch/backends/arm/test/ops/test_unary.py' 2025-06-05T23:20:09.8669592Z adding 'executorch/backends/arm/test/ops/test_unsqueeze.py' 2025-06-05T23:20:09.8670007Z adding 'executorch/backends/arm/test/ops/test_upsample_bilinear2d.py' 2025-06-05T23:20:09.8670403Z adding 'executorch/backends/arm/test/ops/test_upsample_nearest2d.py' 2025-06-05T23:20:09.8670669Z adding 'executorch/backends/arm/test/ops/test_var.py' 2025-06-05T23:20:09.8671029Z adding 'executorch/backends/arm/test/ops/test_view.py' 2025-06-05T23:20:09.8671315Z adding 'executorch/backends/arm/test/ops/test_where.py' 2025-06-05T23:20:09.8671621Z adding 'executorch/backends/arm/test/ops/test_zeros.py' 2025-06-05T23:20:09.8672055Z adding 'executorch/backends/arm/test/passes/test_broadcast_args_pass.py' 2025-06-05T23:20:09.8672438Z adding 'executorch/backends/arm/test/passes/test_cast_int64_pass.py' 2025-06-05T23:20:09.8673144Z adding 'executorch/backends/arm/test/passes/test_convert_expand_copy_to_repeat.py' 2025-06-05T23:20:09.8673637Z adding 'executorch/backends/arm/test/passes/test_convert_int_pow_to_muls.py' 2025-06-05T23:20:09.8674113Z adding 'executorch/backends/arm/test/passes/test_convert_split_to_slice.py' 2025-06-05T23:20:09.8674516Z adding 'executorch/backends/arm/test/passes/test_convert_to_clamp.py' 2025-06-05T23:20:09.8674991Z adding 'executorch/backends/arm/test/passes/test_decompose_cosine_similarity_pass.py' 2025-06-05T23:20:09.8675408Z adding 'executorch/backends/arm/test/passes/test_decompose_div_pass.py' 2025-06-05T23:20:09.8675905Z adding 'executorch/backends/arm/test/passes/test_decompose_layernorm_pass.py' 2025-06-05T23:20:09.8676464Z adding 'executorch/backends/arm/test/passes/test_decompose_linalg_vector_norm_pass.py' 2025-06-05T23:20:09.8676911Z adding 'executorch/backends/arm/test/passes/test_decompose_meandim_pass.py' 2025-06-05T23:20:09.8677384Z adding 'executorch/backends/arm/test/passes/test_decompose_softmax_pass.py' 2025-06-05T23:20:09.8677825Z adding 'executorch/backends/arm/test/passes/test_decompose_var_pass.py' 2025-06-05T23:20:09.8678213Z adding 'executorch/backends/arm/test/passes/test_fold_qdq_pass.py' 2025-06-05T23:20:09.8678858Z adding 'executorch/backends/arm/test/passes/test_fuse_batchnorm_pass.py' 2025-06-05T23:20:09.8679351Z adding 'executorch/backends/arm/test/passes/test_fuse_constant_ops_pass.py' 2025-06-05T23:20:09.8679904Z adding 'executorch/backends/arm/test/passes/test_fuse_equal_placeholders_ops_pass.py' 2025-06-05T23:20:09.8680361Z adding 'executorch/backends/arm/test/passes/test_insert_table_ops_pass.py' 2025-06-05T23:20:09.8680808Z adding 'executorch/backends/arm/test/passes/test_ioquantization_pass.py' 2025-06-05T23:20:09.8681215Z adding 'executorch/backends/arm/test/passes/test_remove_clone_pass.py' 2025-06-05T23:20:09.8681591Z adding 'executorch/backends/arm/test/passes/test_rescale_pass.py' 2025-06-05T23:20:09.8682129Z adding 'executorch/backends/arm/test/passes/test_unsqueeze_before_repeat_pass.py' 2025-06-05T23:20:09.8682740Z adding 'executorch/backends/arm/test/quantizer/test_generic_annotater.py' 2025-06-05T23:20:09.8683019Z adding 'executorch/backends/arm/test/tester/__init__.py' 2025-06-05T23:20:09.8683439Z adding 'executorch/backends/arm/test/tester/analyze_output_utils.py' 2025-06-05T23:20:09.8683746Z adding 'executorch/backends/arm/test/tester/arm_tester.py' 2025-06-05T23:20:09.8684091Z adding 'executorch/backends/arm/test/tester/test_pipeline.py' 2025-06-05T23:20:09.8831568Z adding 'executorch/backends/arm/test/tosautil/__init__.py' 2025-06-05T23:20:09.8832012Z adding 'executorch/backends/arm/third-party/serialization_lib/setup.py' 2025-06-05T23:20:09.8832400Z adding 'executorch/backends/arm/third-party/serialization_lib/python/serializer/__init__.py' 2025-06-05T23:20:09.8832826Z adding 'executorch/backends/arm/third-party/serialization_lib/python/serializer/tosa_serializer.py' 2025-06-05T23:20:09.8833242Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ArithmeticRightShiftAttribute.py' 2025-06-05T23:20:09.8833566Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/Attribute.py' 2025-06-05T23:20:09.8844010Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/AxisAttribute.py' 2025-06-05T23:20:09.8844509Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ClampAttribute.py' 2025-06-05T23:20:09.8844851Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/CondIfAttribute.py' 2025-06-05T23:20:09.8845171Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ConvAttribute.py' 2025-06-05T23:20:09.8845516Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/CustomAttribute.py' 2025-06-05T23:20:09.8845797Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/DType.py' 2025-06-05T23:20:09.8846107Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/FFTAttribute.py' 2025-06-05T23:20:09.8846504Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/FullyConnectedAttribute.py' 2025-06-05T23:20:09.8846837Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/MatMulAttribute.py' 2025-06-05T23:20:09.8847147Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/MulAttribute.py' 2025-06-05T23:20:09.8847532Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/NegateAttribute.py' 2025-06-05T23:20:09.8847802Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/Op.py' 2025-06-05T23:20:09.8848203Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/PadAttribute.py' 2025-06-05T23:20:09.8848535Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/PoolAttribute.py' 2025-06-05T23:20:09.8848851Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/RFFTAttribute.py' 2025-06-05T23:20:09.8849180Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/RescaleAttribute.py' 2025-06-05T23:20:09.8849532Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ReshapeAttribute.py' 2025-06-05T23:20:09.8850113Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ResizeAttribute.py' 2025-06-05T23:20:09.8850474Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ResizeMode.py' 2025-06-05T23:20:09.8850798Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/SliceAttribute.py' 2025-06-05T23:20:09.8851134Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TableAttribute.py' 2025-06-05T23:20:09.8851450Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TileAttribute.py' 2025-06-05T23:20:09.8851770Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaBasicBlock.py' 2025-06-05T23:20:09.8852078Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaGraph.py' 2025-06-05T23:20:09.8852538Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaOperator.py' 2025-06-05T23:20:09.8852841Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaRegion.py' 2025-06-05T23:20:09.8853195Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaTensor.py' 2025-06-05T23:20:09.8853555Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TransposeAttribute.py' 2025-06-05T23:20:09.8853923Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TransposeConvAttribute.py' 2025-06-05T23:20:09.8854222Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/Version.py' 2025-06-05T23:20:09.8854564Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/WhileLoopAttribute.py' 2025-06-05T23:20:09.8854894Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/__init__.py' 2025-06-05T23:20:09.8855168Z adding 'executorch/backends/arm/third-party/serialization_lib/schema/tosa.fbs' 2025-06-05T23:20:09.8855548Z adding 'executorch/backends/arm/third-party/serialization_lib/test/scripts/test_npy_fileio.py' 2025-06-05T23:20:09.8855856Z adding 'executorch/backends/arm/third-party/serialization_lib/test/scripts/xunit/xunit.py' 2025-06-05T23:20:09.8856210Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/conanfile.py' 2025-06-05T23:20:09.8856588Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/pnpm-lock.yaml' 2025-06-05T23:20:09.8857126Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/android/app/src/main/fbs/animal.fbs' 2025-06-05T23:20:09.8857610Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/benchmarks/cpp/flatbuffers/bench.fbs' 2025-06-05T23:20:09.8858024Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/conan/build.py' 2025-06-05T23:20:09.8858471Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/conan/test_package/conanfile.py' 2025-06-05T23:20:09.8858909Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/analysis_options.yaml' 2025-06-05T23:20:09.8859393Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/pubspec.yaml' 2025-06-05T23:20:09.8859811Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/test/bool_structs.fbs' 2025-06-05T23:20:09.8860293Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/test/list_of_enums.fbs' 2025-06-05T23:20:09.8860707Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/dart/test/monster_test.fbs' 2025-06-05T23:20:09.8861112Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/examples/go-echo/hero.fbs' 2025-06-05T23:20:09.8861531Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/examples/go-echo/net.fbs' 2025-06-05T23:20:09.8862019Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/generate_goldens.py' 2025-06-05T23:20:09.8862517Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/golden_utils.py' 2025-06-05T23:20:09.8862932Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/cpp/generate.py' 2025-06-05T23:20:09.8863395Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/csharp/generate.py' 2025-06-05T23:20:09.8863799Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/dart/generate.py' 2025-06-05T23:20:09.8864211Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/go/generate.py' 2025-06-05T23:20:09.8864680Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/java/generate.py' 2025-06-05T23:20:09.8865153Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/kotlin/generate.py' 2025-06-05T23:20:09.8865627Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/lobster/generate.py' 2025-06-05T23:20:09.8866076Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/lua/generate.py' 2025-06-05T23:20:09.8866476Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/nim/generate.py' 2025-06-05T23:20:09.8866929Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/php/generate.py' 2025-06-05T23:20:09.8867381Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py/Galaxy.py' 2025-06-05T23:20:09.8867781Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py/Universe.py' 2025-06-05T23:20:09.8868231Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py/__init__.py' 2025-06-05T23:20:09.8868640Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/py/generate.py' 2025-06-05T23:20:09.8869100Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/rust/generate.py' 2025-06-05T23:20:09.8869547Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/schema/basic.fbs' 2025-06-05T23:20:09.8869996Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/swift/generate.py' 2025-06-05T23:20:09.8870406Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/goldens/ts/generate.py' 2025-06-05T23:20:09.8870894Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/greeter.fbs' 2025-06-05T23:20:09.8871394Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/client.py' 2025-06-05T23:20:09.8871871Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/server.py' 2025-06-05T23:20:09.8872408Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models/HelloReply.py' 2025-06-05T23:20:09.9003451Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models/HelloRequest.py' 2025-06-05T23:20:09.9003988Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models/__init__.py' 2025-06-05T23:20:09.9004568Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/examples/python/greeter/models/greeter_grpc_fb.py' 2025-06-05T23:20:09.9005028Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/samples/greeter/greeter.fbs' 2025-06-05T23:20:09.9005625Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/grpc/tests/grpctest.py' 2025-06-05T23:20:09.9006165Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/InParentNamespace.py' 2025-06-05T23:20:09.9006658Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/MonsterExtra.py' 2025-06-05T23:20:09.9007119Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/__init__.py' 2025-06-05T23:20:09.9007641Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Ability.py' 2025-06-05T23:20:09.9008222Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Any.py' 2025-06-05T23:20:09.9008808Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/AnyAmbiguousAliases.py' 2025-06-05T23:20:09.9009381Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/AnyUniqueAliases.py' 2025-06-05T23:20:09.9009907Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/ArrayStruct.py' 2025-06-05T23:20:09.9010430Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/ArrayTable.py' 2025-06-05T23:20:09.9010940Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Color.py' 2025-06-05T23:20:09.9011453Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/LongEnum.py' 2025-06-05T23:20:09.9011967Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Monster.py' 2025-06-05T23:20:09.9012516Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedStruct.py' 2025-06-05T23:20:09.9012999Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Race.py' 2025-06-05T23:20:09.9013521Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Referrable.py' 2025-06-05T23:20:09.9014017Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Stat.py' 2025-06-05T23:20:09.9014574Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/StructOfStructs.py' 2025-06-05T23:20:09.9015192Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/StructOfStructsOfStructs.py' 2025-06-05T23:20:09.9015693Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Test.py' 2025-06-05T23:20:09.9016205Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/TestEnum.py' 2025-06-05T23:20:09.9016809Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/TestSimpleTableWithEnum.py' 2025-06-05T23:20:09.9017356Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/TypeAliases.py' 2025-06-05T23:20:09.9017842Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/Vec3.py' 2025-06-05T23:20:09.9018403Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/__init__.py' 2025-06-05T23:20:09.9018991Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/monster_test_grpc_fb.py' 2025-06-05T23:20:09.9019555Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion/Any.py' 2025-06-05T23:20:09.9020119Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion/Color.py' 2025-06-05T23:20:09.9020759Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion/NestedUnionTest.py' 2025-06-05T23:20:09.9021314Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion/Test.py' 2025-06-05T23:20:09.9022108Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion/TestSimpleTableWithEnum.py' 2025-06-05T23:20:09.9022682Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion/Vec3.py' 2025-06-05T23:20:09.9023260Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example/NestedUnion/__init__.py' 2025-06-05T23:20:09.9023836Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example2/Monster.py' 2025-06-05T23:20:09.9024408Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/MyGame/Example2/__init__.py' 2025-06-05T23:20:09.9024934Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/SecondTableInA.py' 2025-06-05T23:20:09.9025444Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/TableInC.py' 2025-06-05T23:20:09.9025968Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/TableInFirstNS.py' 2025-06-05T23:20:09.9026497Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/__init__.py' 2025-06-05T23:20:09.9027152Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB/EnumInNestedNS.py' 2025-06-05T23:20:09.9027752Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB/StructInNestedNS.py' 2025-06-05T23:20:09.9028346Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB/TableInNestedNS.py' 2025-06-05T23:20:09.9029002Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB/UnionInNestedNS.py' 2025-06-05T23:20:09.9029610Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceA/NamespaceB/__init__.py' 2025-06-05T23:20:09.9030096Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceC/TableInC.py' 2025-06-05T23:20:09.9030593Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/NamespaceC/__init__.py' 2025-06-05T23:20:09.9031256Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/optional_scalars/OptionalByte.py' 2025-06-05T23:20:09.9031801Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/optional_scalars/ScalarStuff.py' 2025-06-05T23:20:09.9032461Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/optional_scalars/__init__.py' 2025-06-05T23:20:09.9032986Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/java/src/test/java/union_vector/union_vector.fbs' 2025-06-05T23:20:09.9033427Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/__init__.py' 2025-06-05T23:20:09.9033810Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/py.typed' 2025-06-05T23:20:09.9034231Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/setup.py' 2025-06-05T23:20:09.9034668Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/__init__.py' 2025-06-05T23:20:09.9035118Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/_version.py' 2025-06-05T23:20:09.9035605Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/builder.py' 2025-06-05T23:20:09.9220820Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/compat.py' 2025-06-05T23:20:09.9221283Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/encode.py' 2025-06-05T23:20:09.9221755Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/flexbuffers.py' 2025-06-05T23:20:09.9222215Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/number_types.py' 2025-06-05T23:20:09.9222656Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/packer.py' 2025-06-05T23:20:09.9223075Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/table.py' 2025-06-05T23:20:09.9223528Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/util.py' 2025-06-05T23:20:09.9224084Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/AdvancedFeatures.py' 2025-06-05T23:20:09.9224577Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/BaseType.py' 2025-06-05T23:20:09.9225050Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/Enum.py' 2025-06-05T23:20:09.9225550Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/EnumVal.py' 2025-06-05T23:20:09.9226028Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/Field.py' 2025-06-05T23:20:09.9226527Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/KeyValue.py' 2025-06-05T23:20:09.9227031Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/Object.py' 2025-06-05T23:20:09.9227518Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/RPCCall.py' 2025-06-05T23:20:09.9227999Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/Schema.py' 2025-06-05T23:20:09.9228521Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/SchemaFile.py' 2025-06-05T23:20:09.9229006Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/Service.py' 2025-06-05T23:20:09.9229475Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/Type.py' 2025-06-05T23:20:09.9230215Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/python/flatbuffers/reflection/__init__.py' 2025-06-05T23:20:09.9230632Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/reflection/reflection.fbs' 2025-06-05T23:20:09.9231119Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/samples/monster.fbs' 2025-06-05T23:20:09.9231540Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/samples/sample_binary.py' 2025-06-05T23:20:09.9232018Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts/check-grpc-generated-code.py' 2025-06-05T23:20:09.9232449Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts/check_generate_code.py' 2025-06-05T23:20:09.9232970Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts/generate_code.py' 2025-06-05T23:20:09.9233535Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts/generate_grpc_examples.py' 2025-06-05T23:20:09.9233960Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/scripts/util.py' 2025-06-05T23:20:09.9234365Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/snap/snapcraft.yaml' 2025-06-05T23:20:09.9234773Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MutatingBool.fbs' 2025-06-05T23:20:09.9235175Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/alignment_test.fbs' 2025-06-05T23:20:09.9235583Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/arrays_test.fbs' 2025-06-05T23:20:09.9236002Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/dictionary_lookup.fbs' 2025-06-05T23:20:09.9236437Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/included_test.fbs' 2025-06-05T23:20:09.9236851Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/includer_test.fbs' 2025-06-05T23:20:09.9237245Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/keyword_test.fbs' 2025-06-05T23:20:09.9237690Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/monster_extra.fbs' 2025-06-05T23:20:09.9238146Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/monster_test.fbs' 2025-06-05T23:20:09.9238587Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/monster_test_generated.py' 2025-06-05T23:20:09.9239011Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/more_defaults.fbs' 2025-06-05T23:20:09.9239559Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nan_inf_test.fbs' 2025-06-05T23:20:09.9240020Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/native_inline_table_test.fbs' 2025-06-05T23:20:09.9240431Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/native_type_test.fbs' 2025-06-05T23:20:09.9240860Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nested_union_test.fbs' 2025-06-05T23:20:09.9241367Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/optional_scalars.fbs' 2025-06-05T23:20:09.9241887Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/private_annotation_test.fbs' 2025-06-05T23:20:09.9242325Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/py_flexbuffers_test.py' 2025-06-05T23:20:09.9242700Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/py_test.py' 2025-06-05T23:20:09.9243189Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/required_strings.fbs' 2025-06-05T23:20:09.9243701Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/rust_namer_test.fbs' 2025-06-05T23:20:09.9244128Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/test.fbs' 2025-06-05T23:20:09.9244557Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/type_field_collsion.fbs' 2025-06-05T23:20:09.9245039Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/union_underlying_type_test.fbs' 2025-06-05T23:20:09.9245482Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/union_value_collision.fbs' 2025-06-05T23:20:09.9246144Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/vector_has_test.fbs' 2025-06-05T23:20:09.9246572Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/64bit/test_64bit.fbs' 2025-06-05T23:20:09.9246995Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/64bit/evolution/v1.fbs' 2025-06-05T23:20:09.9247419Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/64bit/evolution/v2.fbs' 2025-06-05T23:20:09.9248003Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/InParentNamespace.py' 2025-06-05T23:20:09.9248476Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/MonsterExtra.py' 2025-06-05T23:20:09.9248882Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/__init__.py' 2025-06-05T23:20:09.9249339Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Ability.py' 2025-06-05T23:20:09.9249763Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Any.py' 2025-06-05T23:20:09.9250430Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/AnyAmbiguousAliases.py' 2025-06-05T23:20:09.9251054Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/AnyUniqueAliases.py' 2025-06-05T23:20:09.9251607Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/ArrayStruct.py' 2025-06-05T23:20:09.9252085Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/ArrayTable.py' 2025-06-05T23:20:09.9252528Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Color.py' 2025-06-05T23:20:09.9363085Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/LongEnum.py' 2025-06-05T23:20:09.9363747Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Monster.py' 2025-06-05T23:20:09.9364224Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedStruct.py' 2025-06-05T23:20:09.9364651Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Race.py' 2025-06-05T23:20:09.9365131Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Referrable.py' 2025-06-05T23:20:09.9365554Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Stat.py' 2025-06-05T23:20:09.9366048Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/StructOfStructs.py' 2025-06-05T23:20:09.9366890Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/StructOfStructsOfStructs.py' 2025-06-05T23:20:09.9367321Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Test.py' 2025-06-05T23:20:09.9367766Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/TestEnum.py' 2025-06-05T23:20:09.9368456Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/TestSimpleTableWithEnum.py' 2025-06-05T23:20:09.9368923Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/TypeAliases.py' 2025-06-05T23:20:09.9369342Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/Vec3.py' 2025-06-05T23:20:09.9369895Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/__init__.py' 2025-06-05T23:20:09.9370497Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/monster_test_grpc_fb.py' 2025-06-05T23:20:09.9371021Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/Any.py' 2025-06-05T23:20:09.9371645Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/Color.py' 2025-06-05T23:20:09.9372205Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/NestedUnionTest.py' 2025-06-05T23:20:09.9372880Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/Test.py' 2025-06-05T23:20:09.9373524Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/TestSimpleTableWithEnum.py' 2025-06-05T23:20:09.9374105Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/Vec3.py' 2025-06-05T23:20:09.9374615Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example/NestedUnion/__init__.py' 2025-06-05T23:20:09.9375078Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example2/Monster.py' 2025-06-05T23:20:09.9375582Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/MyGame/Example2/__init__.py' 2025-06-05T23:20:09.9376142Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/annotated_binary/annotated_binary.fbs' 2025-06-05T23:20:09.9376673Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/annotated_binary/annotated_binary_old.fbs' 2025-06-05T23:20:09.9377199Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/annotated_binary/generate_annotations.py' 2025-06-05T23:20:09.9377665Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/evolution_test/evolution_v1.fbs' 2025-06-05T23:20:09.9378206Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/evolution_test/evolution_v2.fbs' 2025-06-05T23:20:09.9378665Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/enum_val_attributes.fbs' 2025-06-05T23:20:09.9379101Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/flatc_cpp_tests.py' 2025-06-05T23:20:09.9379559Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/flatc_kotlin_tests.py' 2025-06-05T23:20:09.9380008Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/flatc_schema_tests.py' 2025-06-05T23:20:09.9380526Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/flatc_test.py' 2025-06-05T23:20:09.9381060Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/flatc_ts_tests.py' 2025-06-05T23:20:09.9381441Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/foo.fbs' 2025-06-05T23:20:09.9381854Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/foo_with_ns.fbs' 2025-06-05T23:20:09.9382249Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/main.py' 2025-06-05T23:20:09.9382820Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar/bar.fbs' 2025-06-05T23:20:09.9383354Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar/bar_with_foo.fbs' 2025-06-05T23:20:09.9383808Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar/bar_with_ns.fbs' 2025-06-05T23:20:09.9384219Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar/baz/baz.fbs' 2025-06-05T23:20:09.9384672Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/flatc/bar/baz/baz_with_ns.fbs' 2025-06-05T23:20:09.9385301Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test/include_test1.fbs' 2025-06-05T23:20:09.9385726Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test/order.fbs' 2025-06-05T23:20:09.9386202Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test/sub/include_test2.fbs' 2025-06-05T23:20:09.9386703Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/include_test/sub/no_namespace.fbs' 2025-06-05T23:20:09.9387318Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/key_field/key_field_sample.fbs' 2025-06-05T23:20:09.9387747Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/minified_enums/enums.fbs' 2025-06-05T23:20:09.9388232Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test/invalid_test1.fbs' 2025-06-05T23:20:09.9388709Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test/invalid_test2.fbs' 2025-06-05T23:20:09.9389318Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test/valid_test1.fbs' 2025-06-05T23:20:09.9389792Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/name_clash_test/valid_test2.fbs' 2025-06-05T23:20:09.9390281Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/namespace_test1.fbs' 2025-06-05T23:20:09.9390909Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/namespace_test2.fbs' 2025-06-05T23:20:09.9391600Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/SecondTableInA.py' 2025-06-05T23:20:09.9392102Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/TableInC.py' 2025-06-05T23:20:09.9392638Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/TableInFirstNS.py' 2025-06-05T23:20:09.9393147Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/__init__.py' 2025-06-05T23:20:09.9393735Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB/EnumInNestedNS.py' 2025-06-05T23:20:09.9394446Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB/StructInNestedNS.py' 2025-06-05T23:20:09.9395150Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB/TableInNestedNS.py' 2025-06-05T23:20:09.9395738Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB/UnionInNestedNS.py' 2025-06-05T23:20:09.9396301Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceA/NamespaceB/__init__.py' 2025-06-05T23:20:09.9681848Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceC/TableInC.py' 2025-06-05T23:20:09.9682824Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/namespace_test/NamespaceC/__init__.py' 2025-06-05T23:20:09.9683419Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nested_namespace_test/nested_namespace_test1.fbs' 2025-06-05T23:20:09.9684119Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nested_namespace_test/nested_namespace_test2.fbs' 2025-06-05T23:20:09.9684690Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nested_namespace_test/nested_namespace_test3.fbs' 2025-06-05T23:20:09.9685085Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/nim/testnim.py' 2025-06-05T23:20:09.9685648Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/optional_scalars/OptionalByte.py' 2025-06-05T23:20:09.9686264Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/optional_scalars/ScalarStuff.py' 2025-06-05T23:20:09.9686725Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/optional_scalars/__init__.py' 2025-06-05T23:20:09.9687186Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test.golden.fbs' 2025-06-05T23:20:09.9687638Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_id.golden.fbs' 2025-06-05T23:20:09.9688226Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_include.golden.fbs' 2025-06-05T23:20:09.9688838Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_include_id.golden.fbs' 2025-06-05T23:20:09.9689315Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_suffix.golden.fbs' 2025-06-05T23:20:09.9689851Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_suffix_id.golden.fbs' 2025-06-05T23:20:09.9690319Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_union.golden.fbs' 2025-06-05T23:20:09.9690908Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_union_id.golden.fbs' 2025-06-05T23:20:09.9691532Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_union_include.golden.fbs' 2025-06-05T23:20:09.9692053Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_union_include_id.golden.fbs' 2025-06-05T23:20:09.9692604Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_union_suffix.golden.fbs' 2025-06-05T23:20:09.9693297Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/prototest/test_union_suffix_id.golden.fbs' 2025-06-05T23:20:09.9694026Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/swift/tests/CodeGenerationTests/test_import.fbs' 2025-06-05T23:20:09.9694612Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/swift/tests/CodeGenerationTests/test_no_include.fbs' 2025-06-05T23:20:09.9695293Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/swift/tests/Sources/SwiftFlatBuffers/fuzzer.fbs' 2025-06-05T23:20:09.9695825Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/TypeScriptTest.py' 2025-06-05T23:20:09.9696275Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/typescript_keywords.fbs' 2025-06-05T23:20:09.9696943Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/arrays_test_complex/arrays_test_complex.fbs' 2025-06-05T23:20:09.9697597Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/bazel_repository_test_dir/one.fbs' 2025-06-05T23:20:09.9698131Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/bazel_repository_test_dir/pnpm-lock.yaml' 2025-06-05T23:20:09.9698678Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/bazel_repository_test_dir/two.fbs' 2025-06-05T23:20:09.9699338Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/test_dir/typescript_include.fbs' 2025-06-05T23:20:09.9699876Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/ts/test_dir/typescript_transitive_include.fbs' 2025-06-05T23:20:09.9700332Z adding 'executorch/backends/arm/third-party/serialization_lib/third_party/flatbuffers/tests/union_vector/union_vector.fbs' 2025-06-05T23:20:09.9700587Z adding 'executorch/backends/arm/tosa/schemas/tosa_0.80.fbs' 2025-06-05T23:20:09.9700794Z adding 'executorch/backends/arm/tosa/schemas/tosa_1.0.fbs' 2025-06-05T23:20:09.9701041Z adding 'executorch/backends/arm/util/arm_model_evaluator.py' 2025-06-05T23:20:09.9701220Z adding 'executorch/backends/cadence/aot/__init__.py' 2025-06-05T23:20:09.9701379Z adding 'executorch/backends/cadence/aot/compiler.py' 2025-06-05T23:20:09.9701546Z adding 'executorch/backends/cadence/aot/compiler_utils.py' 2025-06-05T23:20:09.9701714Z adding 'executorch/backends/cadence/aot/decompose_ops.py' 2025-06-05T23:20:09.9701896Z adding 'executorch/backends/cadence/aot/export_example.py' 2025-06-05T23:20:09.9702055Z adding 'executorch/backends/cadence/aot/functions.yaml' 2025-06-05T23:20:09.9702361Z adding 'executorch/backends/cadence/aot/functions_fusion_g3.yaml' 2025-06-05T23:20:09.9702600Z adding 'executorch/backends/cadence/aot/functions_hifi.yaml' 2025-06-05T23:20:09.9702797Z adding 'executorch/backends/cadence/aot/fuse_ops.py' 2025-06-05T23:20:09.9702968Z adding 'executorch/backends/cadence/aot/graph_builder.py' 2025-06-05T23:20:09.9703154Z adding 'executorch/backends/cadence/aot/memory_constraints.py' 2025-06-05T23:20:09.9703342Z adding 'executorch/backends/cadence/aot/memory_planning.py' 2025-06-05T23:20:09.9703527Z adding 'executorch/backends/cadence/aot/ops_registrations.py' 2025-06-05T23:20:09.9703682Z adding 'executorch/backends/cadence/aot/pass_utils.py' 2025-06-05T23:20:09.9703834Z adding 'executorch/backends/cadence/aot/passes.py' 2025-06-05T23:20:09.9704028Z adding 'executorch/backends/cadence/aot/ref_implementations.py' 2025-06-05T23:20:09.9704181Z adding 'executorch/backends/cadence/aot/remove_ops.py' 2025-06-05T23:20:09.9704350Z adding 'executorch/backends/cadence/aot/reorder_ops.py' 2025-06-05T23:20:09.9704507Z adding 'executorch/backends/cadence/aot/replace_ops.py' 2025-06-05T23:20:09.9704671Z adding 'executorch/backends/cadence/aot/simplify_ops.py' 2025-06-05T23:20:09.9704810Z adding 'executorch/backends/cadence/aot/utils.py' 2025-06-05T23:20:09.9705099Z adding 'executorch/backends/cadence/aot/quantizer/fusion_pass.py' 2025-06-05T23:20:09.9705293Z adding 'executorch/backends/cadence/aot/quantizer/patterns.py' 2025-06-05T23:20:09.9705485Z adding 'executorch/backends/cadence/aot/quantizer/quantizer.py' 2025-06-05T23:20:09.9705748Z adding 'executorch/backends/cadence/aot/quantizer/utils.py' 2025-06-05T23:20:09.9706024Z adding 'executorch/backends/cadence/aot/tests/test_decompose_ops_passes.py' 2025-06-05T23:20:09.9706361Z adding 'executorch/backends/cadence/aot/tests/test_fusion_ops_passes.py' 2025-06-05T23:20:09.9706589Z adding 'executorch/backends/cadence/aot/tests/test_graph_builder.py' 2025-06-05T23:20:09.9706799Z adding 'executorch/backends/cadence/aot/tests/test_memory_passes.py' 2025-06-05T23:20:09.9707003Z adding 'executorch/backends/cadence/aot/tests/test_pass_filter.py' 2025-06-05T23:20:09.9707300Z adding 'executorch/backends/cadence/aot/tests/test_remove_ops_passes.py' 2025-06-05T23:20:09.9707553Z adding 'executorch/backends/cadence/aot/tests/test_reorder_ops_passes.py' 2025-06-05T23:20:09.9707788Z adding 'executorch/backends/cadence/aot/tests/test_replace_ops_passes.py' 2025-06-05T23:20:09.9708027Z adding 'executorch/backends/cadence/aot/tests/test_simplify_ops_passes.py' 2025-06-05T23:20:09.9708205Z adding 'executorch/backends/cadence/runtime/__init__.py' 2025-06-05T23:20:09.9708454Z adding 'executorch/backends/cadence/runtime/executor.py' 2025-06-05T23:20:09.9708623Z adding 'executorch/backends/cadence/runtime/runtime.py' 2025-06-05T23:20:09.9708880Z adding 'executorch/backends/cadence/runtime/utils.py' 2025-06-05T23:20:09.9709043Z adding 'executorch/backends/cadence/utils/facto_util.py' 2025-06-05T23:20:09.9709199Z adding 'executorch/backends/cadence/utils/gen_header.py' 2025-06-05T23:20:09.9709403Z adding 'executorch/backends/cadence/utils/post_compilation.py' 2025-06-05T23:20:09.9709565Z adding 'executorch/backends/cadence/utils/FACTO/setup.py' 2025-06-05T23:20:09.9709798Z adding 'executorch/backends/cadence/utils/FACTO/calibrator/__init__.py' 2025-06-05T23:20:09.9710014Z adding 'executorch/backends/cadence/utils/FACTO/calibrator/runner.py' 2025-06-05T23:20:09.9710240Z adding 'executorch/backends/cadence/utils/FACTO/examples/example.py' 2025-06-05T23:20:09.9710493Z adding 'executorch/backends/cadence/utils/FACTO/examples/minimal_example.py' 2025-06-05T23:20:09.9710728Z adding 'executorch/backends/cadence/utils/FACTO/examples/random_seed.py' 2025-06-05T23:20:09.9711048Z adding 'executorch/backends/cadence/utils/FACTO/facto/__init__.py' 2025-06-05T23:20:09.9711296Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/__init__.py' 2025-06-05T23:20:09.9711587Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple/__init__.py' 2025-06-05T23:20:09.9711882Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple/engine.py' 2025-06-05T23:20:09.9712155Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple/gen.py' 2025-06-05T23:20:09.9712449Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/__init__.py' 2025-06-05T23:20:09.9712745Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/engine.py' 2025-06-05T23:20:09.9980006Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/gen.py' 2025-06-05T23:20:09.9980424Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/type.py' 2025-06-05T23:20:09.9980862Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/__init__.py' 2025-06-05T23:20:09.9981160Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/engine.py' 2025-06-05T23:20:09.9981443Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/model.py' 2025-06-05T23:20:09.9981739Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/solve.py' 2025-06-05T23:20:09.9982039Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/specs/__init__.py' 2025-06-05T23:20:09.9982519Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/specs/model.py' 2025-06-05T23:20:09.9982800Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/utils/__init__.py' 2025-06-05T23:20:09.9983181Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/utils/random_manager.py' 2025-06-05T23:20:09.9983580Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/__init__.py' 2025-06-05T23:20:09.9983878Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/constants.py' 2025-06-05T23:20:09.9984155Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/gen.py' 2025-06-05T23:20:09.9984430Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/solve.py' 2025-06-05T23:20:09.9984822Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/space.py' 2025-06-05T23:20:09.9985111Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/type.py' 2025-06-05T23:20:09.9985445Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/utils.py' 2025-06-05T23:20:09.9985762Z adding 'executorch/backends/cadence/utils/FACTO/facto/specdb/db.py' 2025-06-05T23:20:09.9986013Z adding 'executorch/backends/cadence/utils/FACTO/facto/specdb/default.py' 2025-06-05T23:20:09.9986245Z adding 'executorch/backends/cadence/utils/FACTO/facto/specdb/dtypes.py' 2025-06-05T23:20:09.9986483Z adding 'executorch/backends/cadence/utils/FACTO/facto/specdb/function.py' 2025-06-05T23:20:09.9986795Z adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_argtuple_engine.py' 2025-06-05T23:20:09.9987116Z adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_argtuple_generator.py' 2025-06-05T23:20:09.9987436Z adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_argument_attributes.py' 2025-06-05T23:20:09.9987756Z adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_argument_generator.py' 2025-06-05T23:20:09.9988131Z adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_argument_types.py' 2025-06-05T23:20:09.9988523Z adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_attribute_engine.py' 2025-06-05T23:20:09.9988826Z adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_attribute_solver.py' 2025-06-05T23:20:09.9989127Z adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_constraints.py' 2025-06-05T23:20:09.9989424Z adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_meta_arg_engine.py' 2025-06-05T23:20:09.9989681Z adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_specs.py' 2025-06-05T23:20:09.9990008Z adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_structural_engine.py' 2025-06-05T23:20:09.9990333Z adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_variable_generation.py' 2025-06-05T23:20:09.9990637Z adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_variable_solving.py' 2025-06-05T23:20:09.9991021Z adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_variable_space.py' 2025-06-05T23:20:09.9991316Z adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_variable_types.py' 2025-06-05T23:20:09.9991479Z adding 'executorch/backends/cortex_m/ops/operators.py' 2025-06-05T23:20:09.9991660Z adding 'executorch/backends/cortex_m/ops/operators.yaml' 2025-06-05T23:20:09.9991948Z adding 'executorch/backends/cortex_m/passes/replace_quant_nodes_pass.py' 2025-06-05T23:20:09.9992221Z adding 'executorch/backends/cortex_m/test/test_replace_quant_nodes.py' 2025-06-05T23:20:09.9992433Z adding 'executorch/backends/example/example_backend.py' 2025-06-05T23:20:09.9992621Z adding 'executorch/backends/example/example_partitioner.py' 2025-06-05T23:20:09.9992793Z adding 'executorch/backends/example/example_quantizer.py' 2025-06-05T23:20:09.9992974Z adding 'executorch/backends/example/test_example_delegate.py' 2025-06-05T23:20:09.9993391Z adding 'executorch/backends/example/example_backend_delegate_passes/merge_to_dim_pass.py' 2025-06-05T23:20:09.9993749Z adding 'executorch/backends/example/example_backend_delegate_passes/permute_memory_formats_pass.py' 2025-06-05T23:20:09.9994007Z adding 'executorch/backends/example/example_operators/adaptive_avg_pool2d.py' 2025-06-05T23:20:09.9994204Z adding 'executorch/backends/example/example_operators/add.py' 2025-06-05T23:20:09.9994405Z adding 'executorch/backends/example/example_operators/conv2d.py' 2025-06-05T23:20:09.9994616Z adding 'executorch/backends/example/example_operators/conv_relu.py' 2025-06-05T23:20:09.9994859Z adding 'executorch/backends/example/example_operators/dropout.py' 2025-06-05T23:20:09.9995059Z adding 'executorch/backends/example/example_operators/flatten.py' 2025-06-05T23:20:09.9995319Z adding 'executorch/backends/example/example_operators/linear.py' 2025-06-05T23:20:09.9995534Z adding 'executorch/backends/example/example_operators/op_base.py' 2025-06-05T23:20:09.9995788Z adding 'executorch/backends/example/example_operators/ops.py' 2025-06-05T23:20:09.9995997Z adding 'executorch/backends/example/example_operators/utils.py' 2025-06-05T23:20:09.9996193Z adding 'executorch/backends/mediatek/__init__.py' 2025-06-05T23:20:09.9996398Z adding 'executorch/backends/mediatek/partitioner.py' 2025-06-05T23:20:09.9996543Z adding 'executorch/backends/mediatek/preprocess.py' 2025-06-05T23:20:09.9996708Z adding 'executorch/backends/mediatek/_passes/__init__.py' 2025-06-05T23:20:09.9997015Z adding 'executorch/backends/mediatek/_passes/decompose_scaled_dot_product_attention.py' 2025-06-05T23:20:09.9997188Z adding 'executorch/backends/mediatek/quantizer/__init__.py' 2025-06-05T23:20:09.9997366Z adding 'executorch/backends/mediatek/quantizer/annotator.py' 2025-06-05T23:20:09.9997554Z adding 'executorch/backends/mediatek/quantizer/qconfig.py' 2025-06-05T23:20:09.9997732Z adding 'executorch/backends/mediatek/quantizer/quantizer.py' 2025-06-05T23:20:09.9997906Z adding 'executorch/backends/nxp/neutron_node_extraction.py' 2025-06-05T23:20:09.9998102Z adding 'executorch/backends/nxp/neutron_partitioner.py' 2025-06-05T23:20:09.9998288Z adding 'executorch/backends/nxp/neutron_pass_manager.py' 2025-06-05T23:20:09.9998447Z adding 'executorch/backends/nxp/nxp_backend.py' 2025-06-05T23:20:09.9998778Z adding 'executorch/backends/nxp/aten_passes/fuse_batch_norm_with_conv_pass.py' 2025-06-05T23:20:09.9999051Z adding 'executorch/backends/nxp/aten_passes/fuse_batch_norm_with_linear_pass.py' 2025-06-05T23:20:09.9999284Z adding 'executorch/backends/nxp/aten_passes/neutron_aten_pass_manager.py' 2025-06-05T23:20:09.9999442Z adding 'executorch/backends/nxp/backend/edge_helper.py' 2025-06-05T23:20:09.9999663Z adding 'executorch/backends/nxp/backend/edge_program_converter.py' 2025-06-05T23:20:09.9999886Z adding 'executorch/backends/nxp/backend/neutron_converter_manager.py' 2025-06-05T23:20:10.0000085Z adding 'executorch/backends/nxp/backend/node_format_inference.py' 2025-06-05T23:20:10.0000301Z adding 'executorch/backends/nxp/backend/ir/conversion_config.py' 2025-06-05T23:20:10.0000499Z adding 'executorch/backends/nxp/backend/ir/conversion_context.py' 2025-06-05T23:20:10.0000647Z adding 'executorch/backends/nxp/backend/ir/logger.py' 2025-06-05T23:20:10.0000856Z adding 'executorch/backends/nxp/backend/ir/tensor_formatting.py' 2025-06-05T23:20:10.0001078Z adding 'executorch/backends/nxp/backend/ir/converter/__init__.py' 2025-06-05T23:20:10.0001334Z adding 'executorch/backends/nxp/backend/ir/converter/node_converter.py' 2025-06-05T23:20:10.0001634Z adding 'executorch/backends/nxp/backend/ir/converter/quantization_utils.py' 2025-06-05T23:20:10.0001970Z adding 'executorch/backends/nxp/backend/ir/converter/tensor_utils.py' 2025-06-05T23:20:10.0002211Z adding 'executorch/backends/nxp/backend/ir/converter/builder/__init__.py' 2025-06-05T23:20:10.0002553Z adding 'executorch/backends/nxp/backend/ir/converter/builder/aten_model_builder_director.py' 2025-06-05T23:20:10.0002909Z adding 'executorch/backends/nxp/backend/ir/converter/builder/model_builder.py' 2025-06-05T23:20:10.0003240Z adding 'executorch/backends/nxp/backend/ir/converter/builder/quantization_verification.py' 2025-06-05T23:20:10.0003542Z adding 'executorch/backends/nxp/backend/ir/converter/conversion/__init__.py' 2025-06-05T23:20:10.0003935Z adding 'executorch/backends/nxp/backend/ir/converter/conversion/aten_translator.py' 2025-06-05T23:20:10.0004188Z adding 'executorch/backends/nxp/backend/ir/converter/conversion/common.py' 2025-06-05T23:20:10.0004452Z adding 'executorch/backends/nxp/backend/ir/converter/conversion/translator.py' 2025-06-05T23:20:10.0004738Z adding 'executorch/backends/nxp/backend/ir/converter/node_converters/__init__.py' 2025-06-05T23:20:10.0005083Z adding 'executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/__init__.py' 2025-06-05T23:20:10.0005670Z adding 'executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/addmm_converter.py' 2025-06-05T23:20:10.0006128Z adding 'executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/avg_pool_2d_converter.py' 2025-06-05T23:20:10.0006673Z adding 'executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/constant_pad_nd_converter.py' 2025-06-05T23:20:10.0007082Z adding 'executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/convolution_converter.py' 2025-06-05T23:20:10.0007535Z adding 'executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/max_pool_2d_converter.py' 2025-06-05T23:20:10.0008025Z adding 'executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/mm_converter.py' 2025-06-05T23:20:10.0008433Z adding 'executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/permute_copy_converter.py' 2025-06-05T23:20:10.0008855Z adding 'executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/qdq_dequantize_converter.py' 2025-06-05T23:20:10.0009277Z adding 'executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/qdq_quantize_converter.py' 2025-06-05T23:20:10.0200486Z adding 'executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/relu_converter.py' 2025-06-05T23:20:10.0201023Z adding 'executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/softmax_converter.py' 2025-06-05T23:20:10.0201454Z adding 'executorch/backends/nxp/backend/ir/converter/node_converters/ops_converters/view_copy_converter.py' 2025-06-05T23:20:10.0201797Z adding 'executorch/backends/nxp/backend/ir/converter/node_converters/shared/__init__.py' 2025-06-05T23:20:10.0202169Z adding 'executorch/backends/nxp/backend/ir/converter/node_converters/shared/recurrent_utils.py' 2025-06-05T23:20:10.0202495Z adding 'executorch/backends/nxp/backend/ir/converter/node_converters/shared/reduce_utils.py' 2025-06-05T23:20:10.0202890Z adding 'executorch/backends/nxp/backend/ir/converter/node_converters/shared/reshape_transposition.py' 2025-06-05T23:20:10.0203109Z adding 'executorch/backends/nxp/backend/ir/lib/__init__.py' 2025-06-05T23:20:10.0203352Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/ATan2Options.py' 2025-06-05T23:20:10.0203619Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/AbsOptions.py' 2025-06-05T23:20:10.0203929Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/ActivationFunctionType.py' 2025-06-05T23:20:10.0204266Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/AddNOptions.py' 2025-06-05T23:20:10.0204492Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/AddOptions.py' 2025-06-05T23:20:10.0204784Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/ArgMaxOptions.py' 2025-06-05T23:20:10.0205028Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/ArgMinOptions.py' 2025-06-05T23:20:10.0205354Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/AssignVariableOptions.py' 2025-06-05T23:20:10.0205651Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/BatchMatMulOptions.py' 2025-06-05T23:20:10.0206277Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/BatchToSpaceNDOptions.py' 2025-06-05T23:20:10.0206694Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/BidirectionalSequenceLSTMOptions.py' 2025-06-05T23:20:10.0207033Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/BidirectionalSequenceRNNOptions.py' 2025-06-05T23:20:10.0207311Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/BitcastOptions.py' 2025-06-05T23:20:10.0207632Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/BitwiseXorOptions.py' 2025-06-05T23:20:10.0207933Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/BroadcastToOptions.py' 2025-06-05T23:20:10.0208255Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/BucketizeOptions.py' 2025-06-05T23:20:10.0208505Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/Buffer.py' 2025-06-05T23:20:10.0208917Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/BuiltinOperator.py' 2025-06-05T23:20:10.0209204Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/BuiltinOptions.py' 2025-06-05T23:20:10.0209567Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/BuiltinOptions2.py' 2025-06-05T23:20:10.0209856Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/CallOnceOptions.py' 2025-06-05T23:20:10.0210090Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/CallOptions.py' 2025-06-05T23:20:10.0210307Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/CastOptions.py' 2025-06-05T23:20:10.0210583Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/CombinerType.py' 2025-06-05T23:20:10.0210873Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/ConcatEmbeddingsOptions.py' 2025-06-05T23:20:10.0211217Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/ConcatenationOptions.py' 2025-06-05T23:20:10.0211527Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/Conv2DOptions.py' 2025-06-05T23:20:10.0211852Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/Conv3DOptions.py' 2025-06-05T23:20:10.0212128Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/CosOptions.py' 2025-06-05T23:20:10.0212385Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/CumsumOptions.py' 2025-06-05T23:20:10.0212674Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/CustomOptionsFormat.py' 2025-06-05T23:20:10.0212961Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/CustomQuantization.py' 2025-06-05T23:20:10.0213327Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/DensifyOptions.py' 2025-06-05T23:20:10.0213645Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/DepthToSpaceOptions.py' 2025-06-05T23:20:10.0213944Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/DepthwiseConv2DOptions.py' 2025-06-05T23:20:10.0214197Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/DequantizeOptions.py' 2025-06-05T23:20:10.0214489Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/DilateOptions.py' 2025-06-05T23:20:10.0214743Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/DimensionMetadata.py' 2025-06-05T23:20:10.0215101Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/DimensionType.py' 2025-06-05T23:20:10.0215338Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/DivOptions.py' 2025-06-05T23:20:10.0215774Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/DynamicUpdateSliceOptions.py' 2025-06-05T23:20:10.0216123Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/EmbeddingLookupSparseOptions.py' 2025-06-05T23:20:10.0216390Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/EqualOptions.py' 2025-06-05T23:20:10.0216640Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/ExpOptions.py' 2025-06-05T23:20:10.0216956Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/ExpandDimsOptions.py' 2025-06-05T23:20:10.0217224Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/FakeQuantOptions.py' 2025-06-05T23:20:10.0217469Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/FillOptions.py' 2025-06-05T23:20:10.0217842Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/FloorDivOptions.py' 2025-06-05T23:20:10.0218146Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/FloorModOptions.py' 2025-06-05T23:20:10.0218431Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/FullyConnectedOptions.py' 2025-06-05T23:20:10.0218947Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/FullyConnectedOptionsWeightsFormat.py' 2025-06-05T23:20:10.0219302Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/GatherNdOptions.py' 2025-06-05T23:20:10.0219556Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/GatherOptions.py' 2025-06-05T23:20:10.0219803Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/GeluOptions.py' 2025-06-05T23:20:10.0220105Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/GreaterEqualOptions.py' 2025-06-05T23:20:10.0220451Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/GreaterOptions.py' 2025-06-05T23:20:10.0220715Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/HardSwishOptions.py' 2025-06-05T23:20:10.0221073Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/HashtableFindOptions.py' 2025-06-05T23:20:10.0221357Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/HashtableImportOptions.py' 2025-06-05T23:20:10.0221603Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/HashtableOptions.py' 2025-06-05T23:20:10.0221936Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/HashtableSizeOptions.py' 2025-06-05T23:20:10.0222145Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/IfOptions.py' 2025-06-05T23:20:10.0222362Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/Int32Vector.py' 2025-06-05T23:20:10.0222639Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/L2NormOptions.py' 2025-06-05T23:20:10.0222956Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/LSHProjectionOptions.py' 2025-06-05T23:20:10.0223259Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/LSHProjectionType.py' 2025-06-05T23:20:10.0223502Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/LSTMKernelType.py' 2025-06-05T23:20:10.0223730Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/LSTMOptions.py' 2025-06-05T23:20:10.0224027Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/LeakyReluOptions.py' 2025-06-05T23:20:10.0224270Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/LessEqualOptions.py' 2025-06-05T23:20:10.0224497Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/LessOptions.py' 2025-06-05T23:20:10.0224928Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/LocalResponseNormalizationOptions.py' 2025-06-05T23:20:10.0225219Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/LogSoftmaxOptions.py' 2025-06-05T23:20:10.0225488Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/LogicalAndOptions.py' 2025-06-05T23:20:10.0225737Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/LogicalNotOptions.py' 2025-06-05T23:20:10.0226037Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/LogicalOrOptions.py' 2025-06-05T23:20:10.0226304Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/MatrixDiagOptions.py' 2025-06-05T23:20:10.0226570Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/MatrixSetDiagOptions.py' 2025-06-05T23:20:10.0226843Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/MaximumMinimumOptions.py' 2025-06-05T23:20:10.0227085Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/Metadata.py' 2025-06-05T23:20:10.0227372Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/MirrorPadMode.py' 2025-06-05T23:20:10.0227663Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/MirrorPadOptions.py' 2025-06-05T23:20:10.0227856Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/Model.py' 2025-06-05T23:20:10.0228084Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/MulOptions.py' 2025-06-05T23:20:10.0228335Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/NegOptions.py' 2025-06-05T23:20:10.0228659Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/NonMaxSuppressionV4Options.py' 2025-06-05T23:20:10.0229066Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/NonMaxSuppressionV5Options.py' 2025-06-05T23:20:10.0229350Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/NotEqualOptions.py' 2025-06-05T23:20:10.0229629Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/OneHotOptions.py' 2025-06-05T23:20:10.0229891Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/Operator.py' 2025-06-05T23:20:10.0230115Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/OperatorCode.py' 2025-06-05T23:20:10.0230335Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/PackOptions.py' 2025-06-05T23:20:10.0230598Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/PadOptions.py' 2025-06-05T23:20:10.0230903Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/PadV2Options.py' 2025-06-05T23:20:10.0231172Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/Padding.py' 2025-06-05T23:20:10.0231443Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/Pool2DOptions.py' 2025-06-05T23:20:10.0436926Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/PowOptions.py' 2025-06-05T23:20:10.0438082Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/QuantizationDetails.py' 2025-06-05T23:20:10.0439357Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/QuantizationParameters.py' 2025-06-05T23:20:10.0440553Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/QuantizeOptions.py' 2025-06-05T23:20:10.0441670Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/RNNOptions.py' 2025-06-05T23:20:10.0442743Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/RandomOptions.py' 2025-06-05T23:20:10.0443753Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/RangeOptions.py' 2025-06-05T23:20:10.0444774Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/RankOptions.py' 2025-06-05T23:20:10.0445906Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/ReadVariableOptions.py' 2025-06-05T23:20:10.0447116Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/ReduceWindowFunction.py' 2025-06-05T23:20:10.0448341Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/ReduceWindowOptions.py' 2025-06-05T23:20:10.0449436Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/ReducerOptions.py' 2025-06-05T23:20:10.0450354Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/ReshapeOptions.py' 2025-06-05T23:20:10.0450998Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/ResizeBilinearOptions.py' 2025-06-05T23:20:10.0451806Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/ResizeNearestNeighborOptions.py' 2025-06-05T23:20:10.0452647Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/ReverseSequenceOptions.py' 2025-06-05T23:20:10.0453295Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/ReverseV2Options.py' 2025-06-05T23:20:10.0453895Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/Rfft2dOptions.py' 2025-06-05T23:20:10.0454583Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/RightShiftOptions.py' 2025-06-05T23:20:10.0455186Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/RngAlgorithm.py' 2025-06-05T23:20:10.0455757Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/SVDFOptions.py' 2025-06-05T23:20:10.0456341Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/ScatterNdOptions.py' 2025-06-05T23:20:10.0456965Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/SegmentSumOptions.py' 2025-06-05T23:20:10.0457631Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/SelectOptions.py' 2025-06-05T23:20:10.0458224Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/SelectV2Options.py' 2025-06-05T23:20:10.0458856Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/SequenceRNNOptions.py' 2025-06-05T23:20:10.0459453Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/ShapeOptions.py' 2025-06-05T23:20:10.0460083Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/SignOptions.py' 2025-06-05T23:20:10.0460636Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/SignatureDef.py' 2025-06-05T23:20:10.0461420Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/SkipGramOptions.py' 2025-06-05T23:20:10.0462002Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/SliceOptions.py' 2025-06-05T23:20:10.0462586Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/SoftmaxOptions.py' 2025-06-05T23:20:10.0463302Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/SpaceToBatchNDOptions.py' 2025-06-05T23:20:10.0463952Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/SpaceToDepthOptions.py' 2025-06-05T23:20:10.0464592Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/SparseIndexVector.py' 2025-06-05T23:20:10.0465223Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/SparseToDenseOptions.py' 2025-06-05T23:20:10.0465941Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/SparsityParameters.py' 2025-06-05T23:20:10.0466647Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/SplitOptions.py' 2025-06-05T23:20:10.0467233Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/SplitVOptions.py' 2025-06-05T23:20:10.0467815Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/SquareOptions.py' 2025-06-05T23:20:10.0468514Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/SquaredDifferenceOptions.py' 2025-06-05T23:20:10.0469168Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/SqueezeOptions.py' 2025-06-05T23:20:10.0469848Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloBroadcastInDimOptions.py' 2025-06-05T23:20:10.0470632Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloCompareOptions.py' 2025-06-05T23:20:10.0471519Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloComparisonDirection.py' 2025-06-05T23:20:10.0472237Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloComparisonType.py' 2025-06-05T23:20:10.0473140Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloConcatenateOptions.py' 2025-06-05T23:20:10.0473883Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloConvolutionOptions.py' 2025-06-05T23:20:10.0474764Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloCustomCallOptions.py' 2025-06-05T23:20:10.0475500Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloDotGeneralOptions.py' 2025-06-05T23:20:10.0476241Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloDynamicSliceOptions.py' 2025-06-05T23:20:10.0477025Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloGatherOptions.py' 2025-06-05T23:20:10.0477693Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloIotaOptions.py' 2025-06-05T23:20:10.0478359Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloPadOptions.py' 2025-06-05T23:20:10.0479040Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloPrecisionConfig.py' 2025-06-05T23:20:10.0479795Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloReduceOptions.py' 2025-06-05T23:20:10.0480524Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloReduceWindowOptions.py' 2025-06-05T23:20:10.0481298Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloRngBitGeneratorOptions.py' 2025-06-05T23:20:10.0482045Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloScatterOptions.py' 2025-06-05T23:20:10.0482784Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloSliceOptions.py' 2025-06-05T23:20:10.0483454Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloSortOptions.py' 2025-06-05T23:20:10.0484144Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloTransposeOptions.py' 2025-06-05T23:20:10.0484834Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/StablehloWhileOptions.py' 2025-06-05T23:20:10.0485564Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/StridedSliceOptions.py' 2025-06-05T23:20:10.0486153Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/SubGraph.py' 2025-06-05T23:20:10.0486695Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/SubOptions.py' 2025-06-05T23:20:10.0487426Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/Tensor.py' 2025-06-05T23:20:10.0488036Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/TensorMap.py' 2025-06-05T23:20:10.0488577Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/TensorType.py' 2025-06-05T23:20:10.0489137Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/TileOptions.py' 2025-06-05T23:20:10.0489703Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/TopKV2Options.py' 2025-06-05T23:20:10.0490332Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/TransposeConvOptions.py' 2025-06-05T23:20:10.0491048Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/TransposeOptions.py' 2025-06-05T23:20:10.0491630Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/Uint16Vector.py' 2025-06-05T23:20:10.0492289Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/Uint8Vector.py' 2025-06-05T23:20:10.0492970Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/UnidirectionalSequenceLSTMOptions.py' 2025-06-05T23:20:10.0493765Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/UniqueOptions.py' 2025-06-05T23:20:10.0494342Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/UnpackOptions.py' 2025-06-05T23:20:10.0495004Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/UnsortedSegmentMaxOptions.py' 2025-06-05T23:20:10.0495730Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/UnsortedSegmentMinOptions.py' 2025-06-05T23:20:10.0496518Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/UnsortedSegmentProdOptions.py' 2025-06-05T23:20:10.0497250Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/UnsortedSegmentSumOptions.py' 2025-06-05T23:20:10.0497909Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/VarHandleOptions.py' 2025-06-05T23:20:10.0498518Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/VariantSubType.py' 2025-06-05T23:20:10.0499165Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/WhereOptions.py' 2025-06-05T23:20:10.0499738Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/WhileOptions.py' 2025-06-05T23:20:10.0500338Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/ZerosLikeOptions.py' 2025-06-05T23:20:10.0500899Z adding 'executorch/backends/nxp/backend/ir/lib/tflite/__init__.py' 2025-06-05T23:20:10.0501514Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/__init__.py' 2025-06-05T23:20:10.0502109Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/tflite_model.py' 2025-06-05T23:20:10.0502779Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/__init__.py' 2025-06-05T23:20:10.0503530Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/abs_options.py' 2025-06-05T23:20:10.0504346Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/add_n_options.py' 2025-06-05T23:20:10.0505121Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/add_options.py' 2025-06-05T23:20:10.0505884Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/arg_max_options.py' 2025-06-05T23:20:10.0506704Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/arg_min_options.py' 2025-06-05T23:20:10.0507547Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/average_pool_2d_options.py' 2025-06-05T23:20:10.0508396Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/batch_mat_mul_options.py' 2025-06-05T23:20:10.0509318Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/bidirectional_sequence_lstm_options.py' 2025-06-05T23:20:10.0510334Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/bidirectional_sequence_rnn_options.py' 2025-06-05T23:20:10.0681473Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/bitwise_xor_options.py' 2025-06-05T23:20:10.0682374Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/broadcast_to_options.py' 2025-06-05T23:20:10.0683371Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/cast_options.py' 2025-06-05T23:20:10.0684342Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/concatenation_options.py' 2025-06-05T23:20:10.0685147Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/conv_2d_options.py' 2025-06-05T23:20:10.0685996Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/conv_3d_options.py' 2025-06-05T23:20:10.0686803Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/cum_sum_options.py' 2025-06-05T23:20:10.0687605Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/depth_to_space_options.py' 2025-06-05T23:20:10.0688464Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/depthwise_conv_2d_options.py' 2025-06-05T23:20:10.0689574Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/dequantize_options.py' 2025-06-05T23:20:10.0690363Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/div_options.py' 2025-06-05T23:20:10.0691126Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/equal_options.py' 2025-06-05T23:20:10.0691968Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/exp_options.py' 2025-06-05T23:20:10.0692747Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/floor_mod_options.py' 2025-06-05T23:20:10.0693566Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/fully_connected_options.py' 2025-06-05T23:20:10.0694602Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/gather_nd_options.py' 2025-06-05T23:20:10.0695422Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/gather_options.py' 2025-06-05T23:20:10.0696196Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/gelu_options.py' 2025-06-05T23:20:10.0697009Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/greater_equal_options.py' 2025-06-05T23:20:10.0697898Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/greater_options.py' 2025-06-05T23:20:10.0698702Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/hard_swish_options.py' 2025-06-05T23:20:10.0699514Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/leaky_relu_options.py' 2025-06-05T23:20:10.0700311Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/less_equal_options.py' 2025-06-05T23:20:10.0701215Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/less_options.py' 2025-06-05T23:20:10.0701994Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/log_softmax_options.py' 2025-06-05T23:20:10.0702819Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/logical_and_options.py' 2025-06-05T23:20:10.0703632Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/logical_not_options.py' 2025-06-05T23:20:10.0704492Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/logical_or_options.py' 2025-06-05T23:20:10.0705334Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/lrn_options.py' 2025-06-05T23:20:10.0706072Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/lstm_options.py' 2025-06-05T23:20:10.0706861Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/max_pool_2d_options.py' 2025-06-05T23:20:10.0707688Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/maximum_options.py' 2025-06-05T23:20:10.0708568Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/mean_options.py' 2025-06-05T23:20:10.0709343Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/minimum_options.py' 2025-06-05T23:20:10.0710232Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/mirror_pad_options.py' 2025-06-05T23:20:10.0711091Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/mul_options.py' 2025-06-05T23:20:10.0711881Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/multinomial_options.py' 2025-06-05T23:20:10.0712659Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/neg_options.py' 2025-06-05T23:20:10.0713533Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/not_equal_options.py' 2025-06-05T23:20:10.0714312Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/one_hot_options.py' 2025-06-05T23:20:10.0715075Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/pad_options.py' 2025-06-05T23:20:10.0715906Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/pad_v2_options.py' 2025-06-05T23:20:10.0716787Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/pow_options.py' 2025-06-05T23:20:10.0717560Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/quantize_options.py' 2025-06-05T23:20:10.0718326Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/range_options.py' 2025-06-05T23:20:10.0719113Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/reduce_max_options.py' 2025-06-05T23:20:10.0719923Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/reduce_min_options.py' 2025-06-05T23:20:10.0720813Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/reduce_prod_options.py' 2025-06-05T23:20:10.0721617Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/reshape_options.py' 2025-06-05T23:20:10.0722432Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/resize_bilinear_options.py' 2025-06-05T23:20:10.0723356Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/resize_nearest_neighbor_options.py' 2025-06-05T23:20:10.0724357Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/reverse_sequence_options.py' 2025-06-05T23:20:10.0725191Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/scatter_nd_options.py' 2025-06-05T23:20:10.0725999Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/select_v2_options.py' 2025-06-05T23:20:10.0726779Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/shape_options.py' 2025-06-05T23:20:10.0727546Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/sign_options.py' 2025-06-05T23:20:10.0728386Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/slice_options.py' 2025-06-05T23:20:10.0729167Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/softmax_options.py' 2025-06-05T23:20:10.0729990Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/space_to_depth_options.py' 2025-06-05T23:20:10.0730785Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/split_options.py' 2025-06-05T23:20:10.0731557Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/split_v_options.py' 2025-06-05T23:20:10.0732445Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/square_options.py' 2025-06-05T23:20:10.0733280Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/squared_difference_options.py' 2025-06-05T23:20:10.0734118Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/squeeze_options.py' 2025-06-05T23:20:10.0734920Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/strided_slice_options.py' 2025-06-05T23:20:10.0735810Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/sub_options.py' 2025-06-05T23:20:10.0736659Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/sum_options.py' 2025-06-05T23:20:10.0737427Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/tile_options.py' 2025-06-05T23:20:10.0738236Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/transpose_conv_options.py' 2025-06-05T23:20:10.0739056Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/transpose_options.py' 2025-06-05T23:20:10.0740079Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/unidirectional_sequence_lstm_options.py' 2025-06-05T23:20:10.0741064Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/builtin_options/unidirectional_sequence_rnn_options.py' 2025-06-05T23:20:10.0742039Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/custom_options/flex_transpose_options.py' 2025-06-05T23:20:10.0742784Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/meta/__init__.py' 2025-06-05T23:20:10.0743406Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/meta/meta.py' 2025-06-05T23:20:10.0744080Z adding 'executorch/backends/nxp/backend/ir/tflite_generator/meta/types.py' 2025-06-05T23:20:10.0744665Z adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/__init__.py' 2025-06-05T23:20:10.0745270Z adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/graph_utils.py' 2025-06-05T23:20:10.0745900Z adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/operator_rules.py' 2025-06-05T23:20:10.0746508Z adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/optimizer.py' 2025-06-05T23:20:10.0747130Z adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/pattern_matcher.py' 2025-06-05T23:20:10.0747755Z adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/tensor_rules.py' 2025-06-05T23:20:10.0748544Z adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/__init__.py' 2025-06-05T23:20:10.1050532Z adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/base_optimization.py' 2025-06-05T23:20:10.1051617Z adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/combine_hard_sigmoid_and_mul_to_hard_swish.py' 2025-06-05T23:20:10.1052612Z adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/eliminate_dead_branches.py' 2025-06-05T23:20:10.1053563Z adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/fuse_activation_functions.py' 2025-06-05T23:20:10.1054616Z adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/fuse_fully_connected_and_add_operators.py' 2025-06-05T23:20:10.1055669Z adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/fuse_quanitze_into_preceding_ops.py' 2025-06-05T23:20:10.1056666Z adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/keep_one_empty_buffer.py' 2025-06-05T23:20:10.1057590Z adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/move_relu_before_concat.py' 2025-06-05T23:20:10.1058601Z adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/permute_fully_connected_weights_after_reshape.py' 2025-06-05T23:20:10.1059677Z adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/prune_cast_operators.py' 2025-06-05T23:20:10.1060517Z adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/prune_quantize_operators.py' 2025-06-05T23:20:10.1061548Z adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/prune_reshape_operators.py' 2025-06-05T23:20:10.1062416Z adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/prune_transpose_operators.py' 2025-06-05T23:20:10.1063420Z adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/remove_unused_tensors_and_buffers.py' 2025-06-05T23:20:10.1064815Z adding 'executorch/backends/nxp/backend/ir/tflite_optimizer/optimizations/replace_average_pool_before_fully_connected_with_sum.py' 2025-06-05T23:20:10.1065857Z adding 'executorch/backends/nxp/quantizer/neutron_quantizer.py' 2025-06-05T23:20:10.1066326Z adding 'executorch/backends/nxp/quantizer/patterns.py' 2025-06-05T23:20:10.1066746Z adding 'executorch/backends/nxp/quantizer/utils.py' 2025-06-05T23:20:10.1067201Z adding 'executorch/backends/nxp/tests/executorch_pipeline.py' 2025-06-05T23:20:10.1067737Z adding 'executorch/backends/nxp/tests/executors.py' 2025-06-05T23:20:10.1068276Z adding 'executorch/backends/nxp/tests/exported_program_vizualize.py' 2025-06-05T23:20:10.1068751Z adding 'executorch/backends/nxp/tests/models.py' 2025-06-05T23:20:10.1069199Z adding 'executorch/backends/nxp/tests/test_batch_norm_fusion.py' 2025-06-05T23:20:10.1069689Z adding 'executorch/backends/nxp/tests/test_neutron_backend.py' 2025-06-05T23:20:10.1070351Z adding 'executorch/backends/nxp/tests/test_neutron_converter_manager.py' 2025-06-05T23:20:10.1071025Z adding 'executorch/backends/nxp/tests/test_node_format_inference.py' 2025-06-05T23:20:10.1071704Z adding 'executorch/backends/nxp/tests/test_operator_selector.py' 2025-06-05T23:20:10.1072259Z adding 'executorch/backends/nxp/tests/test_qdq_clustering_conv.py' 2025-06-05T23:20:10.1072928Z adding 'executorch/backends/nxp/tests/test_quantizer.py' 2025-06-05T23:20:10.1073556Z adding 'executorch/backends/nxp/tests/ir/converter/node_converter/test_avg_pool2d_converter.py' 2025-06-05T23:20:10.1074581Z adding 'executorch/backends/nxp/tests/ir/converter/node_converter/test_constant_pad_nd_converter.py' 2025-06-05T23:20:10.1075386Z adding 'executorch/backends/nxp/tests/ir/converter/node_converter/test_conv_converter.py' 2025-06-05T23:20:10.1076132Z adding 'executorch/backends/nxp/tests/ir/converter/node_converter/test_linear_converter.py' 2025-06-05T23:20:10.1076930Z adding 'executorch/backends/nxp/tests/ir/converter/node_converter/test_max_pool_2d_converter.py' 2025-06-05T23:20:10.1077913Z adding 'executorch/backends/nxp/tests/ir/converter/node_converter/test_permute_copy_converter.py' 2025-06-05T23:20:10.1078767Z adding 'executorch/backends/nxp/tests/ir/converter/node_converter/test_relu_converter.py' 2025-06-05T23:20:10.1079525Z adding 'executorch/backends/nxp/tests/ir/converter/node_converter/test_softmax_converter.py' 2025-06-05T23:20:10.1080381Z adding 'executorch/backends/nxp/tests/ir/converter/node_converter/test_view_copy_converter.py' 2025-06-05T23:20:10.1081060Z adding 'executorch/backends/openvino/__init__.py' 2025-06-05T23:20:10.1081466Z adding 'executorch/backends/openvino/partitioner.py' 2025-06-05T23:20:10.1081867Z adding 'executorch/backends/openvino/preprocess.py' 2025-06-05T23:20:10.1082300Z adding 'executorch/backends/openvino/quantizer/__init__.py' 2025-06-05T23:20:10.1082759Z adding 'executorch/backends/openvino/quantizer/quantizer.py' 2025-06-05T23:20:10.1083344Z adding 'executorch/backends/openvino/tests/test_runner.py' 2025-06-05T23:20:10.1083964Z adding 'executorch/backends/openvino/tests/models/test_classification.py' 2025-06-05T23:20:10.1084554Z adding 'executorch/backends/openvino/tests/ops/base_openvino_op_test.py' 2025-06-05T23:20:10.1085081Z adding 'executorch/backends/openvino/tests/ops/test_add.py' 2025-06-05T23:20:10.1085538Z adding 'executorch/backends/openvino/tests/ops/test_addmm.py' 2025-06-05T23:20:10.1086039Z adding 'executorch/backends/openvino/tests/ops/test_arange.py' 2025-06-05T23:20:10.1086617Z adding 'executorch/backends/openvino/tests/ops/test_batch_norm.py' 2025-06-05T23:20:10.1087232Z adding 'executorch/backends/openvino/tests/ops/test_convolution.py' 2025-06-05T23:20:10.1087739Z adding 'executorch/backends/openvino/tests/ops/test_mean.py' 2025-06-05T23:20:10.1088213Z adding 'executorch/backends/openvino/tests/ops/test_permute.py' 2025-06-05T23:20:10.1088813Z adding 'executorch/backends/openvino/tests/ops/test_pooling.py' 2025-06-05T23:20:10.1089358Z adding 'executorch/backends/openvino/tests/ops/test_unary_ops.py' 2025-06-05T23:20:10.1090069Z adding 'executorch/backends/openvino/tests/ops/test_view.py' 2025-06-05T23:20:10.1090609Z adding 'executorch/backends/qualcomm/qnn_preprocess.py' 2025-06-05T23:20:10.1091120Z adding 'executorch/backends/qualcomm/_passes/__init__.py' 2025-06-05T23:20:10.1091667Z adding 'executorch/backends/qualcomm/_passes/annotate_adaptive_avg_pool1d.py' 2025-06-05T23:20:10.1092247Z adding 'executorch/backends/qualcomm/_passes/annotate_quant_attrs.py' 2025-06-05T23:20:10.1092794Z adding 'executorch/backends/qualcomm/_passes/annotate_stack.py' 2025-06-05T23:20:10.1093365Z adding 'executorch/backends/qualcomm/_passes/annotate_unbind.py' 2025-06-05T23:20:10.1093943Z adding 'executorch/backends/qualcomm/_passes/build_quant_io.py' 2025-06-05T23:20:10.1094456Z adding 'executorch/backends/qualcomm/_passes/convert_bmm_to_matmul.py' 2025-06-05T23:20:10.1095251Z adding 'executorch/backends/qualcomm/_passes/convert_conv1d_to_conv2d.py' 2025-06-05T23:20:10.1095909Z adding 'executorch/backends/qualcomm/_passes/convert_square_to_pow.py' 2025-06-05T23:20:10.1096429Z adding 'executorch/backends/qualcomm/_passes/decompose_any.py' 2025-06-05T23:20:10.1096933Z adding 'executorch/backends/qualcomm/_passes/decompose_cdist.py' 2025-06-05T23:20:10.1097544Z adding 'executorch/backends/qualcomm/_passes/decompose_einsum.py' 2025-06-05T23:20:10.1098127Z adding 'executorch/backends/qualcomm/_passes/decompose_expm1.py' 2025-06-05T23:20:10.1098675Z adding 'executorch/backends/qualcomm/_passes/decompose_linalg_vector_norm.py' 2025-06-05T23:20:10.1099343Z adding 'executorch/backends/qualcomm/_passes/decompose_roll.py' 2025-06-05T23:20:10.1099915Z adding 'executorch/backends/qualcomm/_passes/decompose_silu.py' 2025-06-05T23:20:10.1100463Z adding 'executorch/backends/qualcomm/_passes/expand_broadcast_tensor_shape.py' 2025-06-05T23:20:10.1101071Z adding 'executorch/backends/qualcomm/_passes/fixed_linear_keep_dim.py' 2025-06-05T23:20:10.1101673Z adding 'executorch/backends/qualcomm/_passes/fold_qdq.py' 2025-06-05T23:20:10.1102250Z adding 'executorch/backends/qualcomm/_passes/fuse_consecutive_cast.py' 2025-06-05T23:20:10.1102839Z adding 'executorch/backends/qualcomm/_passes/fuse_consecutive_transpose.py' 2025-06-05T23:20:10.1103383Z adding 'executorch/backends/qualcomm/_passes/i64_to_i32.py' 2025-06-05T23:20:10.1103860Z adding 'executorch/backends/qualcomm/_passes/insert_io_qdq.py' 2025-06-05T23:20:10.1104359Z adding 'executorch/backends/qualcomm/_passes/insert_requantize.py' 2025-06-05T23:20:10.1104935Z adding 'executorch/backends/qualcomm/_passes/layout_transform.py' 2025-06-05T23:20:10.1105629Z adding 'executorch/backends/qualcomm/_passes/lift_constant_scalar_operands.py' 2025-06-05T23:20:10.1106211Z adding 'executorch/backends/qualcomm/_passes/qnn_pass_manager.py' 2025-06-05T23:20:10.1106774Z adding 'executorch/backends/qualcomm/_passes/recompose_pixel_unshuffle.py' 2025-06-05T23:20:10.1107338Z adding 'executorch/backends/qualcomm/_passes/recompose_rms_norm.py' 2025-06-05T23:20:10.1107999Z adding 'executorch/backends/qualcomm/_passes/reduce_dynamic_range.py' 2025-06-05T23:20:10.1108596Z adding 'executorch/backends/qualcomm/_passes/remove_0d_tensor.py' 2025-06-05T23:20:10.1109131Z adding 'executorch/backends/qualcomm/_passes/remove_redundancy.py' 2025-06-05T23:20:10.1109657Z adding 'executorch/backends/qualcomm/_passes/replace_arange_args.py' 2025-06-05T23:20:10.1110225Z adding 'executorch/backends/qualcomm/_passes/replace_index_put_input.py' 2025-06-05T23:20:10.1110783Z adding 'executorch/backends/qualcomm/_passes/replace_inf_values.py' 2025-06-05T23:20:10.1111469Z adding 'executorch/backends/qualcomm/_passes/tag_quant_io.py' 2025-06-05T23:20:10.1112004Z adding 'executorch/backends/qualcomm/_passes/utils.py' 2025-06-05T23:20:10.1112413Z adding 'executorch/backends/qualcomm/aot/ir/qcir.fbs' 2025-06-05T23:20:10.1112857Z adding 'executorch/backends/qualcomm/builders/__init__.py' 2025-06-05T23:20:10.1113317Z adding 'executorch/backends/qualcomm/builders/node_visitor.py' 2025-06-05T23:20:10.1113893Z adding 'executorch/backends/qualcomm/builders/op_abs.py' 2025-06-05T23:20:10.1114400Z adding 'executorch/backends/qualcomm/builders/op_adaptive_avg_pool2d.py' 2025-06-05T23:20:10.1115082Z adding 'executorch/backends/qualcomm/builders/op_add.py' 2025-06-05T23:20:10.1115609Z adding 'executorch/backends/qualcomm/builders/op_amax.py' 2025-06-05T23:20:10.1116038Z adding 'executorch/backends/qualcomm/builders/op_and.py' 2025-06-05T23:20:10.1116480Z adding 'executorch/backends/qualcomm/builders/op_arange.py' 2025-06-05T23:20:10.1116927Z adding 'executorch/backends/qualcomm/builders/op_argmin.py' 2025-06-05T23:20:10.1117411Z adding 'executorch/backends/qualcomm/builders/op_avg_pool2d.py' 2025-06-05T23:20:10.1118057Z adding 'executorch/backends/qualcomm/builders/op_batch_norm.py' 2025-06-05T23:20:10.1118548Z adding 'executorch/backends/qualcomm/builders/op_bmm.py' 2025-06-05T23:20:10.1119071Z adding 'executorch/backends/qualcomm/builders/op_cat.py' 2025-06-05T23:20:10.1119503Z adding 'executorch/backends/qualcomm/builders/op_ceil.py' 2025-06-05T23:20:10.1484323Z adding 'executorch/backends/qualcomm/builders/op_clamp.py' 2025-06-05T23:20:10.1485205Z adding 'executorch/backends/qualcomm/builders/op_conv2d.py' 2025-06-05T23:20:10.1485671Z adding 'executorch/backends/qualcomm/builders/op_cos.py' 2025-06-05T23:20:10.1486134Z adding 'executorch/backends/qualcomm/builders/op_cum_sum.py' 2025-06-05T23:20:10.1486634Z adding 'executorch/backends/qualcomm/builders/op_depth_to_space.py' 2025-06-05T23:20:10.1487168Z adding 'executorch/backends/qualcomm/builders/op_dequantize.py' 2025-06-05T23:20:10.1487632Z adding 'executorch/backends/qualcomm/builders/op_div.py' 2025-06-05T23:20:10.1488074Z adding 'executorch/backends/qualcomm/builders/op_elu.py' 2025-06-05T23:20:10.1488531Z adding 'executorch/backends/qualcomm/builders/op_embedding.py' 2025-06-05T23:20:10.1489024Z adding 'executorch/backends/qualcomm/builders/op_eq.py' 2025-06-05T23:20:10.1489459Z adding 'executorch/backends/qualcomm/builders/op_exp.py' 2025-06-05T23:20:10.1489905Z adding 'executorch/backends/qualcomm/builders/op_expand.py' 2025-06-05T23:20:10.1490365Z adding 'executorch/backends/qualcomm/builders/op_full.py' 2025-06-05T23:20:10.1490821Z adding 'executorch/backends/qualcomm/builders/op_full_like.py' 2025-06-05T23:20:10.1491321Z adding 'executorch/backends/qualcomm/builders/op_gather.py' 2025-06-05T23:20:10.1491769Z adding 'executorch/backends/qualcomm/builders/op_ge.py' 2025-06-05T23:20:10.1492196Z adding 'executorch/backends/qualcomm/builders/op_gelu.py' 2025-06-05T23:20:10.1492672Z adding 'executorch/backends/qualcomm/builders/op_group_norm.py' 2025-06-05T23:20:10.1493130Z adding 'executorch/backends/qualcomm/builders/op_gt.py' 2025-06-05T23:20:10.1493606Z adding 'executorch/backends/qualcomm/builders/op_hardsigmoid.py' 2025-06-05T23:20:10.1494106Z adding 'executorch/backends/qualcomm/builders/op_hardswish.py' 2025-06-05T23:20:10.1494593Z adding 'executorch/backends/qualcomm/builders/op_hardtanh.py' 2025-06-05T23:20:10.1495207Z adding 'executorch/backends/qualcomm/builders/op_index.py' 2025-06-05T23:20:10.1495793Z adding 'executorch/backends/qualcomm/builders/op_index_put.py' 2025-06-05T23:20:10.1496300Z adding 'executorch/backends/qualcomm/builders/op_instance_norm.py' 2025-06-05T23:20:10.1496804Z adding 'executorch/backends/qualcomm/builders/op_layer_norm.py' 2025-06-05T23:20:10.1497269Z adding 'executorch/backends/qualcomm/builders/op_le.py' 2025-06-05T23:20:10.1497700Z adding 'executorch/backends/qualcomm/builders/op_linear.py' 2025-06-05T23:20:10.1498150Z adding 'executorch/backends/qualcomm/builders/op_log.py' 2025-06-05T23:20:10.1498733Z adding 'executorch/backends/qualcomm/builders/op_log_softmax.py' 2025-06-05T23:20:10.1499337Z adding 'executorch/backends/qualcomm/builders/op_logical_not.py' 2025-06-05T23:20:10.1499818Z adding 'executorch/backends/qualcomm/builders/op_lt.py' 2025-06-05T23:20:10.1500330Z adding 'executorch/backends/qualcomm/builders/op_matmul.py' 2025-06-05T23:20:10.1501165Z adding 'executorch/backends/qualcomm/builders/op_max.py' 2025-06-05T23:20:10.1501629Z adding 'executorch/backends/qualcomm/builders/op_max_pool2d.py' 2025-06-05T23:20:10.1502125Z adding 'executorch/backends/qualcomm/builders/op_mean_dim.py' 2025-06-05T23:20:10.1502747Z adding 'executorch/backends/qualcomm/builders/op_min.py' 2025-06-05T23:20:10.1503176Z adding 'executorch/backends/qualcomm/builders/op_mul.py' 2025-06-05T23:20:10.1503607Z adding 'executorch/backends/qualcomm/builders/op_ne.py' 2025-06-05T23:20:10.1504065Z adding 'executorch/backends/qualcomm/builders/op_neg.py' 2025-06-05T23:20:10.1504678Z adding 'executorch/backends/qualcomm/builders/op_or.py' 2025-06-05T23:20:10.1505102Z adding 'executorch/backends/qualcomm/builders/op_pad.py' 2025-06-05T23:20:10.1505539Z adding 'executorch/backends/qualcomm/builders/op_pow.py' 2025-06-05T23:20:10.1506405Z adding 'executorch/backends/qualcomm/builders/op_prelu.py' 2025-06-05T23:20:10.1506990Z adding 'executorch/backends/qualcomm/builders/op_quantize.py' 2025-06-05T23:20:10.1507455Z adding 'executorch/backends/qualcomm/builders/op_relu.py' 2025-06-05T23:20:10.1507898Z adding 'executorch/backends/qualcomm/builders/op_repeat.py' 2025-06-05T23:20:10.1508367Z adding 'executorch/backends/qualcomm/builders/op_reshape.py' 2025-06-05T23:20:10.1508823Z adding 'executorch/backends/qualcomm/builders/op_resize.py' 2025-06-05T23:20:10.1509294Z adding 'executorch/backends/qualcomm/builders/op_rms_norm.py' 2025-06-05T23:20:10.1509797Z adding 'executorch/backends/qualcomm/builders/op_rsqrt.py' 2025-06-05T23:20:10.1510402Z adding 'executorch/backends/qualcomm/builders/op_scalar_tensor.py' 2025-06-05T23:20:10.1511026Z adding 'executorch/backends/qualcomm/builders/op_select_copy.py' 2025-06-05T23:20:10.1511515Z adding 'executorch/backends/qualcomm/builders/op_sigmoid.py' 2025-06-05T23:20:10.1511981Z adding 'executorch/backends/qualcomm/builders/op_sin.py' 2025-06-05T23:20:10.1512582Z adding 'executorch/backends/qualcomm/builders/op_skip_ops.py' 2025-06-05T23:20:10.1513153Z adding 'executorch/backends/qualcomm/builders/op_slice_copy.py' 2025-06-05T23:20:10.1513630Z adding 'executorch/backends/qualcomm/builders/op_softmax.py' 2025-06-05T23:20:10.1514137Z adding 'executorch/backends/qualcomm/builders/op_space_to_depth.py' 2025-06-05T23:20:10.1514795Z adding 'executorch/backends/qualcomm/builders/op_split_with_sizes.py' 2025-06-05T23:20:10.1515395Z adding 'executorch/backends/qualcomm/builders/op_sqrt.py' 2025-06-05T23:20:10.1515855Z adding 'executorch/backends/qualcomm/builders/op_squeeze.py' 2025-06-05T23:20:10.1516305Z adding 'executorch/backends/qualcomm/builders/op_stack.py' 2025-06-05T23:20:10.1516750Z adding 'executorch/backends/qualcomm/builders/op_sub.py' 2025-06-05T23:20:10.1517415Z adding 'executorch/backends/qualcomm/builders/op_sum_int_list.py' 2025-06-05T23:20:10.1517926Z adding 'executorch/backends/qualcomm/builders/op_tanh.py' 2025-06-05T23:20:10.1518366Z adding 'executorch/backends/qualcomm/builders/op_to.py' 2025-06-05T23:20:10.1518801Z adding 'executorch/backends/qualcomm/builders/op_topk.py' 2025-06-05T23:20:10.1519279Z adding 'executorch/backends/qualcomm/builders/op_transpose.py' 2025-06-05T23:20:10.1519891Z adding 'executorch/backends/qualcomm/builders/op_unbind.py' 2025-06-05T23:20:10.1520375Z adding 'executorch/backends/qualcomm/builders/op_unsqueeze.py' 2025-06-05T23:20:10.1520909Z adding 'executorch/backends/qualcomm/builders/op_upsample_bilinear2d.py' 2025-06-05T23:20:10.1521600Z adding 'executorch/backends/qualcomm/builders/op_upsample_nearest2d.py' 2025-06-05T23:20:10.1522247Z adding 'executorch/backends/qualcomm/builders/op_where.py' 2025-06-05T23:20:10.1522718Z adding 'executorch/backends/qualcomm/builders/qnn_constants.py' 2025-06-05T23:20:10.1523192Z adding 'executorch/backends/qualcomm/builders/utils.py' 2025-06-05T23:20:10.1523620Z adding 'executorch/backends/qualcomm/debugger/utils.py' 2025-06-05T23:20:10.1524187Z adding 'executorch/backends/qualcomm/partition/common_defs.py' 2025-06-05T23:20:10.1524918Z adding 'executorch/backends/qualcomm/partition/qnn_partitioner.py' 2025-06-05T23:20:10.1525417Z adding 'executorch/backends/qualcomm/partition/utils.py' 2025-06-05T23:20:10.1525886Z adding 'executorch/backends/qualcomm/quantizer/annotators.py' 2025-06-05T23:20:10.1526399Z adding 'executorch/backends/qualcomm/quantizer/custom_annotation.py' 2025-06-05T23:20:10.1527120Z adding 'executorch/backends/qualcomm/quantizer/qconfig.py' 2025-06-05T23:20:10.1527580Z adding 'executorch/backends/qualcomm/quantizer/quantizer.py' 2025-06-05T23:20:10.1528177Z adding 'executorch/backends/qualcomm/quantizer/observers/per_block_param_observer.py' 2025-06-05T23:20:10.1528892Z adding 'executorch/backends/qualcomm/quantizer/observers/per_channel_param_observer.py' 2025-06-05T23:20:10.1529789Z adding 'executorch/backends/qualcomm/serialization/qc_compiler_spec.fbs' 2025-06-05T23:20:10.1530356Z adding 'executorch/backends/qualcomm/serialization/qc_schema.py' 2025-06-05T23:20:10.1530915Z adding 'executorch/backends/qualcomm/serialization/qc_schema_serialize.py' 2025-06-05T23:20:10.1531437Z adding 'executorch/backends/qualcomm/tests/models.py' 2025-06-05T23:20:10.1531993Z adding 'executorch/backends/qualcomm/tests/test_qnn_delegate.py' 2025-06-05T23:20:10.1532565Z adding 'executorch/backends/qualcomm/tests/utils.py' 2025-06-05T23:20:10.1532978Z adding 'executorch/backends/qualcomm/utils/constants.py' 2025-06-05T23:20:10.1533397Z adding 'executorch/backends/qualcomm/utils/utils.py' 2025-06-05T23:20:10.1533795Z adding 'executorch/backends/transforms/__init__.py' 2025-06-05T23:20:10.1534217Z adding 'executorch/backends/transforms/addmm_mm_to_linear.py' 2025-06-05T23:20:10.1534951Z adding 'executorch/backends/transforms/convert_dtype_pass.py' 2025-06-05T23:20:10.1535476Z adding 'executorch/backends/transforms/decompose_sdpa.py' 2025-06-05T23:20:10.1536001Z adding 'executorch/backends/transforms/duplicate_dynamic_quant_chain.py' 2025-06-05T23:20:10.1536566Z adding 'executorch/backends/transforms/fuse_batch_norm_with_conv.py' 2025-06-05T23:20:10.1537168Z adding 'executorch/backends/transforms/fuse_conv_with_clamp.py' 2025-06-05T23:20:10.1537794Z adding 'executorch/backends/transforms/fuse_view_copy.py' 2025-06-05T23:20:10.1538239Z adding 'executorch/backends/transforms/mean_to_sum_div.py' 2025-06-05T23:20:10.1538699Z adding 'executorch/backends/transforms/rank_0_to_rank_1.py' 2025-06-05T23:20:10.1539148Z adding 'executorch/backends/transforms/remove_clone_ops.py' 2025-06-05T23:20:10.1539729Z adding 'executorch/backends/transforms/remove_getitem_op.py' 2025-06-05T23:20:10.1540336Z adding 'executorch/backends/transforms/replace_scalar_with_tensor.py' 2025-06-05T23:20:10.1540810Z adding 'executorch/backends/transforms/utils.py' 2025-06-05T23:20:10.1541301Z adding 'executorch/backends/transforms/view_copy_to_squeeze_unsqueeze.py' 2025-06-05T23:20:10.1541950Z adding 'executorch/backends/transforms/test/test_create_delete_constant_placeholder.py' 2025-06-05T23:20:10.1542883Z adding 'executorch/backends/transforms/test/test_duplicate_dynamic_quant_chain.py' 2025-06-05T23:20:10.1543486Z adding 'executorch/backends/transforms/test/test_rank_0_to_rank_1.py' 2025-06-05T23:20:10.1543951Z adding 'executorch/backends/vulkan/__init__.py' 2025-06-05T23:20:10.1544334Z adding 'executorch/backends/vulkan/custom_ops_lib.py' 2025-06-05T23:20:10.1544841Z adding 'executorch/backends/vulkan/op_registry.py' 2025-06-05T23:20:10.1545371Z adding 'executorch/backends/vulkan/utils.py' 2025-06-05T23:20:10.1545825Z adding 'executorch/backends/vulkan/vulkan_preprocess.py' 2025-06-05T23:20:10.1546265Z adding 'executorch/backends/vulkan/_passes/__init__.py' 2025-06-05T23:20:10.1546727Z adding 'executorch/backends/vulkan/_passes/fuse_quantized_ops.py' 2025-06-05T23:20:10.1547279Z adding 'executorch/backends/vulkan/_passes/insert_prepack_nodes.py' 2025-06-05T23:20:10.1548083Z adding 'executorch/backends/vulkan/_passes/int4_weight_only_quantizer.py' 2025-06-05T23:20:10.1548794Z adding 'executorch/backends/vulkan/_passes/remove_asserts.py' 2025-06-05T23:20:10.1549348Z adding 'executorch/backends/vulkan/_passes/remove_local_scalar_dense_ops.py' 2025-06-05T23:20:10.1549913Z adding 'executorch/backends/vulkan/_passes/remove_redundant_ops.py' 2025-06-05T23:20:10.1550624Z adding 'executorch/backends/vulkan/_passes/squeeze_unsqueeze_inputs.py' 2025-06-05T23:20:10.1551247Z adding 'executorch/backends/vulkan/_passes/tag_memory_meta_pass.py' 2025-06-05T23:20:10.1551800Z adding 'executorch/backends/vulkan/partitioner/vulkan_partitioner.py' 2025-06-05T23:20:10.1860572Z adding 'executorch/backends/vulkan/quantizer/vulkan_quantizer.py' 2025-06-05T23:20:10.1861526Z adding 'executorch/backends/vulkan/runtime/gen_vulkan_spv.py' 2025-06-05T23:20:10.1862121Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_naive_buffer.yaml' 2025-06-05T23:20:10.1863039Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_naive_texture3d.yaml' 2025-06-05T23:20:10.1863748Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_optimized.yaml' 2025-06-05T23:20:10.1864528Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/arange.yaml' 2025-06-05T23:20:10.1865173Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/avg_pool2d.yaml' 2025-06-05T23:20:10.1865781Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/batchnorm.yaml' 2025-06-05T23:20:10.1866366Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/binary_op.yaml' 2025-06-05T23:20:10.1867310Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/bitw8_image_to_nchw_nobitw8buffer.yaml' 2025-06-05T23:20:10.1868108Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/buffer_to_buffer.yaml' 2025-06-05T23:20:10.1868753Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/buffer_to_nchw.yaml' 2025-06-05T23:20:10.1869358Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/clone.yaml' 2025-06-05T23:20:10.1869913Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv1d.yaml' 2025-06-05T23:20:10.1870475Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d.yaml' 2025-06-05T23:20:10.1871129Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw.yaml' 2025-06-05T23:20:10.1871784Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_output_tile.yaml' 2025-06-05T23:20:10.1872527Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_prepack_weights.yaml' 2025-06-05T23:20:10.1873540Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_sned_output_tile.yaml' 2025-06-05T23:20:10.1874394Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_prepack_weights.yaml' 2025-06-05T23:20:10.1875093Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_pw.yaml' 2025-06-05T23:20:10.1875722Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_pw_s1p0.yaml' 2025-06-05T23:20:10.1876386Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d.yaml' 2025-06-05T23:20:10.1877130Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d_prepack_weights.yaml' 2025-06-05T23:20:10.1877955Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/copy_channel_offset.yaml' 2025-06-05T23:20:10.1878648Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/copy_offset.yaml' 2025-06-05T23:20:10.1879315Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/copy_packed_dim_offset.yaml' 2025-06-05T23:20:10.1879972Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/embedding.yaml' 2025-06-05T23:20:10.1880549Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/flip.yaml' 2025-06-05T23:20:10.1881094Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/full.yaml' 2025-06-05T23:20:10.1881669Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/grid_priors.yaml' 2025-06-05T23:20:10.1882382Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/image_to_nchw.yaml' 2025-06-05T23:20:10.1883198Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/index_select.yaml' 2025-06-05T23:20:10.1883866Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/index_select_channel.yaml' 2025-06-05T23:20:10.1884552Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/kv_cache_update.yaml' 2025-06-05T23:20:10.1885183Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/linear_qcsnw.yaml' 2025-06-05T23:20:10.1885928Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/linear_qcsnw_coop.yaml' 2025-06-05T23:20:10.1886620Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/linear_qcsnw_tiled.yaml' 2025-06-05T23:20:10.1887304Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/linear_qga4w_coop.yaml' 2025-06-05T23:20:10.1887973Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/linear_qga4w_tiled.yaml' 2025-06-05T23:20:10.1888719Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/max_pool2d.yaml' 2025-06-05T23:20:10.1889455Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/native_layer_norm.yaml' 2025-06-05T23:20:10.1890205Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/nchw_to_bitw8_image_nobitw8buffer.yaml' 2025-06-05T23:20:10.1890946Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/nchw_to_buffer.yaml' 2025-06-05T23:20:10.1891572Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/nchw_to_image.yaml' 2025-06-05T23:20:10.1892171Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/no_op.yaml' 2025-06-05T23:20:10.1893023Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/pack_int4_linear_weight_transposed_interleaved.yaml' 2025-06-05T23:20:10.1893808Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/pad_channel.yaml' 2025-06-05T23:20:10.1894464Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/pad_height_width.yaml' 2025-06-05T23:20:10.1895093Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/permute.yaml' 2025-06-05T23:20:10.1895683Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/reduce.yaml' 2025-06-05T23:20:10.1896334Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/repeat.yaml' 2025-06-05T23:20:10.1896946Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/repeat_channel.yaml' 2025-06-05T23:20:10.1897609Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/repeat_interleave.yaml' 2025-06-05T23:20:10.1898274Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/rotary_embedding.yaml' 2025-06-05T23:20:10.1899021Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/sdpa_attn_weight_scale_and_mask.yaml' 2025-06-05T23:20:10.1899706Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/softmax.yaml' 2025-06-05T23:20:10.1900363Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/tan.yaml' 2025-06-05T23:20:10.1900966Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/transfer_buffer.yaml' 2025-06-05T23:20:10.1901622Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/transfer_texture.yaml' 2025-06-05T23:20:10.1902251Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/unary_op.yaml' 2025-06-05T23:20:10.1902840Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/upsample_2d.yaml' 2025-06-05T23:20:10.1903540Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/var_buffer.yaml' 2025-06-05T23:20:10.1904146Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/var_texture3d.yaml' 2025-06-05T23:20:10.1904736Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/view.yaml' 2025-06-05T23:20:10.1905283Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/where.yaml' 2025-06-05T23:20:10.1905785Z adding 'executorch/backends/vulkan/serialization/schema.fbs' 2025-06-05T23:20:10.1906330Z adding 'executorch/backends/vulkan/serialization/vulkan_graph_builder.py' 2025-06-05T23:20:10.1906923Z adding 'executorch/backends/vulkan/serialization/vulkan_graph_schema.py' 2025-06-05T23:20:10.1907604Z adding 'executorch/backends/vulkan/serialization/vulkan_graph_serialize.py' 2025-06-05T23:20:10.1908254Z adding 'executorch/backends/vulkan/test/test_serialization.py' 2025-06-05T23:20:10.1908760Z adding 'executorch/backends/vulkan/test/test_vulkan_delegate.py' 2025-06-05T23:20:10.1909306Z adding 'executorch/backends/vulkan/test/test_vulkan_delegate_header.py' 2025-06-05T23:20:10.1909830Z adding 'executorch/backends/vulkan/test/test_vulkan_passes.py' 2025-06-05T23:20:10.1910321Z adding 'executorch/backends/vulkan/test/glsl/all_shaders.yaml' 2025-06-05T23:20:10.1911015Z adding 'executorch/backends/vulkan/test/glsl/dynamic_dispatch_test.yaml' 2025-06-05T23:20:10.1911763Z adding 'executorch/backends/vulkan/test/glsl/reference_matmul_common.yaml' 2025-06-05T23:20:10.1912288Z adding 'executorch/backends/vulkan/test/op_tests/cases.py' 2025-06-05T23:20:10.1912922Z adding 'executorch/backends/vulkan/test/op_tests/generate_op_benchmarks.py' 2025-06-05T23:20:10.1913573Z adding 'executorch/backends/vulkan/test/op_tests/generate_op_correctness_tests.py' 2025-06-05T23:20:10.1914201Z adding 'executorch/backends/vulkan/test/op_tests/utils/aten_types.py' 2025-06-05T23:20:10.1914964Z adding 'executorch/backends/vulkan/test/op_tests/utils/gen_benchmark_vk.py' 2025-06-05T23:20:10.1915559Z adding 'executorch/backends/vulkan/test/op_tests/utils/gen_computegraph.py' 2025-06-05T23:20:10.1915834Z adding 'executorch/backends/vulkan/test/op_tests/utils/gen_correctness_base.py' 2025-06-05T23:20:10.1916085Z adding 'executorch/backends/vulkan/test/op_tests/utils/gen_correctness_vk.py' 2025-06-05T23:20:10.1916298Z adding 'executorch/backends/vulkan/test/op_tests/utils/test_suite.py' 2025-06-05T23:20:10.1916625Z adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/apiconventions.py' 2025-06-05T23:20:10.1916913Z adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/cgenerator.py' 2025-06-05T23:20:10.1917211Z adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/conventions.py' 2025-06-05T23:20:10.1917513Z adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/generator.py' 2025-06-05T23:20:10.1917782Z adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/genvk.py' 2025-06-05T23:20:10.1918039Z adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/reg.py' 2025-06-05T23:20:10.1918343Z adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/vkconventions.py' 2025-06-05T23:20:10.1918666Z adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/spec_tools/util.py' 2025-06-05T23:20:10.1919075Z adding 'executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis/GpuMemDumpVis.py' 2025-06-05T23:20:10.1919275Z adding 'executorch/backends/vulkan/third-party/volk/generate.py' 2025-06-05T23:20:10.1919534Z adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/buf_bandwidth.yaml' 2025-06-05T23:20:10.1919793Z adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/buf_cacheline_size.yaml' 2025-06-05T23:20:10.1920012Z adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/reg_count.yaml' 2025-06-05T23:20:10.1920261Z adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/tex_bandwidth.yaml' 2025-06-05T23:20:10.1920535Z adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/tex_cacheline_concurr.yaml' 2025-06-05T23:20:10.1920751Z adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/warp_size.yaml' 2025-06-05T23:20:10.2220433Z adding 'executorch/backends/xnnpack/__init__.py' 2025-06-05T23:20:10.2220805Z adding 'executorch/backends/xnnpack/xnnpack_preprocess.py' 2025-06-05T23:20:10.2221029Z adding 'executorch/backends/xnnpack/_passes/__init__.py' 2025-06-05T23:20:10.2221494Z adding 'executorch/backends/xnnpack/_passes/channels_last_tagged_reshape_pass.py' 2025-06-05T23:20:10.2221922Z adding 'executorch/backends/xnnpack/_passes/conv1d_unsqueeze_pass.py' 2025-06-05T23:20:10.2222305Z adding 'executorch/backends/xnnpack/_passes/convert_to_linear.py' 2025-06-05T23:20:10.2222978Z adding 'executorch/backends/xnnpack/_passes/convert_to_sdpa.py' 2025-06-05T23:20:10.2223323Z adding 'executorch/backends/xnnpack/_passes/convert_to_upsample_bilinear2d.py' 2025-06-05T23:20:10.2223578Z adding 'executorch/backends/xnnpack/_passes/decompose_cat.py' 2025-06-05T23:20:10.2223974Z adding 'executorch/backends/xnnpack/_passes/fuse_activation_pass.py' 2025-06-05T23:20:10.2224395Z adding 'executorch/backends/xnnpack/_passes/fuse_batch_norm_with_conv.py' 2025-06-05T23:20:10.2224791Z adding 'executorch/backends/xnnpack/_passes/prelu_reshape_pass.py' 2025-06-05T23:20:10.2225205Z adding 'executorch/backends/xnnpack/_passes/tag_implicit_q_dq_pass.py' 2025-06-05T23:20:10.2225519Z adding 'executorch/backends/xnnpack/_passes/xnnpack_pass.py' 2025-06-05T23:20:10.2225824Z adding 'executorch/backends/xnnpack/operators/__init__.py' 2025-06-05T23:20:10.2226366Z adding 'executorch/backends/xnnpack/operators/node_visitor.py' 2025-06-05T23:20:10.2226698Z adding 'executorch/backends/xnnpack/operators/op_abs.py' 2025-06-05T23:20:10.2226999Z adding 'executorch/backends/xnnpack/operators/op_add.py' 2025-06-05T23:20:10.2227309Z adding 'executorch/backends/xnnpack/operators/op_addmm.py' 2025-06-05T23:20:10.2227637Z adding 'executorch/backends/xnnpack/operators/op_avg_pooling2d.py' 2025-06-05T23:20:10.2227799Z adding 'executorch/backends/xnnpack/operators/op_bmm.py' 2025-06-05T23:20:10.2227984Z adding 'executorch/backends/xnnpack/operators/op_cat.py' 2025-06-05T23:20:10.2228304Z adding 'executorch/backends/xnnpack/operators/op_ceiling.py' 2025-06-05T23:20:10.2228610Z adding 'executorch/backends/xnnpack/operators/op_clamp.py' 2025-06-05T23:20:10.2228925Z adding 'executorch/backends/xnnpack/operators/op_conv2d.py' 2025-06-05T23:20:10.2229232Z adding 'executorch/backends/xnnpack/operators/op_div.py' 2025-06-05T23:20:10.2229721Z adding 'executorch/backends/xnnpack/operators/op_dynamic_dequantize_ops.py' 2025-06-05T23:20:10.2230148Z adding 'executorch/backends/xnnpack/operators/op_dynamic_quantize_ops.py' 2025-06-05T23:20:10.2230455Z adding 'executorch/backends/xnnpack/operators/op_elu.py' 2025-06-05T23:20:10.2230767Z adding 'executorch/backends/xnnpack/operators/op_exp.py' 2025-06-05T23:20:10.2231156Z adding 'executorch/backends/xnnpack/operators/op_floor.py' 2025-06-05T23:20:10.2231464Z adding 'executorch/backends/xnnpack/operators/op_gelu.py' 2025-06-05T23:20:10.2231827Z adding 'executorch/backends/xnnpack/operators/op_hardswish.py' 2025-06-05T23:20:10.2232117Z adding 'executorch/backends/xnnpack/operators/op_hardtanh.py' 2025-06-05T23:20:10.2232311Z adding 'executorch/backends/xnnpack/operators/op_leaky_relu.py' 2025-06-05T23:20:10.2232534Z adding 'executorch/backends/xnnpack/operators/op_linear.py' 2025-06-05T23:20:10.2232813Z adding 'executorch/backends/xnnpack/operators/op_log.py' 2025-06-05T23:20:10.2233284Z adding 'executorch/backends/xnnpack/operators/op_matrix_multiplication.py' 2025-06-05T23:20:10.2233624Z adding 'executorch/backends/xnnpack/operators/op_max_dim.py' 2025-06-05T23:20:10.2234008Z adding 'executorch/backends/xnnpack/operators/op_max_pool2d.py' 2025-06-05T23:20:10.2234334Z adding 'executorch/backends/xnnpack/operators/op_maximum.py' 2025-06-05T23:20:10.2234615Z adding 'executorch/backends/xnnpack/operators/op_mean_dim.py' 2025-06-05T23:20:10.2234946Z adding 'executorch/backends/xnnpack/operators/op_minimum.py' 2025-06-05T23:20:10.2235282Z adding 'executorch/backends/xnnpack/operators/op_multiply.py' 2025-06-05T23:20:10.2235602Z adding 'executorch/backends/xnnpack/operators/op_negate.py' 2025-06-05T23:20:10.2235954Z adding 'executorch/backends/xnnpack/operators/op_permute.py' 2025-06-05T23:20:10.2236263Z adding 'executorch/backends/xnnpack/operators/op_prelu.py' 2025-06-05T23:20:10.2236637Z adding 'executorch/backends/xnnpack/operators/op_quant_dequant.py' 2025-06-05T23:20:10.2236953Z adding 'executorch/backends/xnnpack/operators/op_relu.py' 2025-06-05T23:20:10.2237278Z adding 'executorch/backends/xnnpack/operators/op_rsqrt.py' 2025-06-05T23:20:10.2237732Z adding 'executorch/backends/xnnpack/operators/op_sdpa.py' 2025-06-05T23:20:10.2238065Z adding 'executorch/backends/xnnpack/operators/op_sigmoid.py' 2025-06-05T23:20:10.2238410Z adding 'executorch/backends/xnnpack/operators/op_skip_ops.py' 2025-06-05T23:20:10.2238744Z adding 'executorch/backends/xnnpack/operators/op_slice_copy.py' 2025-06-05T23:20:10.2239070Z adding 'executorch/backends/xnnpack/operators/op_softmax.py' 2025-06-05T23:20:10.2239402Z adding 'executorch/backends/xnnpack/operators/op_square.py' 2025-06-05T23:20:10.2239780Z adding 'executorch/backends/xnnpack/operators/op_square_root.py' 2025-06-05T23:20:10.2240106Z adding 'executorch/backends/xnnpack/operators/op_squeeze.py' 2025-06-05T23:20:10.2240517Z adding 'executorch/backends/xnnpack/operators/op_static_constant_pad.py' 2025-06-05T23:20:10.2240904Z adding 'executorch/backends/xnnpack/operators/op_static_resize_bilinear_2d.py' 2025-06-05T23:20:10.2241105Z adding 'executorch/backends/xnnpack/operators/op_sub.py' 2025-06-05T23:20:10.2241421Z adding 'executorch/backends/xnnpack/operators/op_to_copy.py' 2025-06-05T23:20:10.2241773Z adding 'executorch/backends/xnnpack/operators/quant_params.py' 2025-06-05T23:20:10.2242077Z adding 'executorch/backends/xnnpack/partition/configs.py' 2025-06-05T23:20:10.2242503Z adding 'executorch/backends/xnnpack/partition/xnnpack_partitioner.py' 2025-06-05T23:20:10.2242890Z adding 'executorch/backends/xnnpack/partition/config/__init__.py' 2025-06-05T23:20:10.2243225Z adding 'executorch/backends/xnnpack/partition/config/gemm_configs.py' 2025-06-05T23:20:10.2243577Z adding 'executorch/backends/xnnpack/partition/config/generic_node_configs.py' 2025-06-05T23:20:10.2243987Z adding 'executorch/backends/xnnpack/partition/config/node_configs.py' 2025-06-05T23:20:10.2244489Z adding 'executorch/backends/xnnpack/partition/config/quant_affine_configs.py' 2025-06-05T23:20:10.2244926Z adding 'executorch/backends/xnnpack/partition/config/xnnpack_config.py' 2025-06-05T23:20:10.2245330Z adding 'executorch/backends/xnnpack/partition/graphs/bilinear_2d.py' 2025-06-05T23:20:10.2260217Z adding 'executorch/backends/xnnpack/partition/graphs/sdpa.py' 2025-06-05T23:20:10.2260785Z adding 'executorch/backends/xnnpack/quantizer/xnnpack_quantizer.py' 2025-06-05T23:20:10.2261215Z adding 'executorch/backends/xnnpack/quantizer/xnnpack_quantizer_utils.py' 2025-06-05T23:20:10.2261646Z adding 'executorch/backends/xnnpack/serialization/runtime_schema.fbs' 2025-06-05T23:20:10.2261996Z adding 'executorch/backends/xnnpack/serialization/schema.fbs' 2025-06-05T23:20:10.2262465Z adding 'executorch/backends/xnnpack/serialization/xnnpack_graph_schema.py' 2025-06-05T23:20:10.2262962Z adding 'executorch/backends/xnnpack/serialization/xnnpack_graph_serialize.py' 2025-06-05T23:20:10.2263223Z adding 'executorch/backends/xnnpack/test/test_xnnpack_utils.py' 2025-06-05T23:20:10.2263455Z adding 'executorch/backends/xnnpack/test/test_xnnpack_utils_classes.py' 2025-06-05T23:20:10.2263656Z adding 'executorch/backends/xnnpack/test/models/deeplab_v3.py' 2025-06-05T23:20:10.2263840Z adding 'executorch/backends/xnnpack/test/models/edsr.py' 2025-06-05T23:20:10.2264043Z adding 'executorch/backends/xnnpack/test/models/emformer_rnnt.py' 2025-06-05T23:20:10.2264243Z adding 'executorch/backends/xnnpack/test/models/inception_v3.py' 2025-06-05T23:20:10.2264452Z adding 'executorch/backends/xnnpack/test/models/inception_v4.py' 2025-06-05T23:20:10.2264672Z adding 'executorch/backends/xnnpack/test/models/llama2_et_example.py' 2025-06-05T23:20:10.2264860Z adding 'executorch/backends/xnnpack/test/models/mobilebert.py' 2025-06-05T23:20:10.2265069Z adding 'executorch/backends/xnnpack/test/models/mobilenet_v2.py' 2025-06-05T23:20:10.2265262Z adding 'executorch/backends/xnnpack/test/models/mobilenet_v3.py' 2025-06-05T23:20:10.2265437Z adding 'executorch/backends/xnnpack/test/models/resnet.py' 2025-06-05T23:20:10.2265660Z adding 'executorch/backends/xnnpack/test/models/torchvision_vit.py' 2025-06-05T23:20:10.2265985Z adding 'executorch/backends/xnnpack/test/models/very_big_model.py' 2025-06-05T23:20:10.2266147Z adding 'executorch/backends/xnnpack/test/models/w2l.py' 2025-06-05T23:20:10.2266312Z adding 'executorch/backends/xnnpack/test/ops/test_abs.py' 2025-06-05T23:20:10.2266489Z adding 'executorch/backends/xnnpack/test/ops/test_add.py' 2025-06-05T23:20:10.2266684Z adding 'executorch/backends/xnnpack/test/ops/test_avgpool2d.py' 2025-06-05T23:20:10.2266880Z adding 'executorch/backends/xnnpack/test/ops/test_bilinear2d.py' 2025-06-05T23:20:10.2267056Z adding 'executorch/backends/xnnpack/test/ops/test_bmm.py' 2025-06-05T23:20:10.2267219Z adding 'executorch/backends/xnnpack/test/ops/test_cat.py' 2025-06-05T23:20:10.2267385Z adding 'executorch/backends/xnnpack/test/ops/test_ceil.py' 2025-06-05T23:20:10.2267693Z adding 'executorch/backends/xnnpack/test/ops/test_check_quant_params.py' 2025-06-05T23:20:10.2267864Z adding 'executorch/backends/xnnpack/test/ops/test_clamp.py' 2025-06-05T23:20:10.2268068Z adding 'executorch/backends/xnnpack/test/ops/test_conv1d.py' 2025-06-05T23:20:10.2268351Z adding 'executorch/backends/xnnpack/test/ops/test_conv2d.py' 2025-06-05T23:20:10.2268644Z adding 'executorch/backends/xnnpack/test/ops/test_div.py' 2025-06-05T23:20:10.2268927Z adding 'executorch/backends/xnnpack/test/ops/test_elu.py' 2025-06-05T23:20:10.2269203Z adding 'executorch/backends/xnnpack/test/ops/test_exp.py' 2025-06-05T23:20:10.2269543Z adding 'executorch/backends/xnnpack/test/ops/test_floor.py' 2025-06-05T23:20:10.2269841Z adding 'executorch/backends/xnnpack/test/ops/test_gelu.py' 2025-06-05T23:20:10.2270187Z adding 'executorch/backends/xnnpack/test/ops/test_hardswish.py' 2025-06-05T23:20:10.2270487Z adding 'executorch/backends/xnnpack/test/ops/test_hardtanh.py' 2025-06-05T23:20:10.2270695Z adding 'executorch/backends/xnnpack/test/ops/test_leaky_relu.py' 2025-06-05T23:20:10.2270978Z adding 'executorch/backends/xnnpack/test/ops/test_linear.py' 2025-06-05T23:20:10.2271220Z adding 'executorch/backends/xnnpack/test/ops/test_log.py' 2025-06-05T23:20:10.2271404Z adding 'executorch/backends/xnnpack/test/ops/test_lstm.py' 2025-06-05T23:20:10.2271585Z adding 'executorch/backends/xnnpack/test/ops/test_max_dim.py' 2025-06-05T23:20:10.2271764Z adding 'executorch/backends/xnnpack/test/ops/test_maximum.py' 2025-06-05T23:20:10.2272037Z adding 'executorch/backends/xnnpack/test/ops/test_maxpool2d.py' 2025-06-05T23:20:10.2272223Z adding 'executorch/backends/xnnpack/test/ops/test_mean_dim.py' 2025-06-05T23:20:10.2272399Z adding 'executorch/backends/xnnpack/test/ops/test_minimum.py' 2025-06-05T23:20:10.2272600Z adding 'executorch/backends/xnnpack/test/ops/test_multiply.py' 2025-06-05T23:20:10.2272977Z adding 'executorch/backends/xnnpack/test/ops/test_negate.py' 2025-06-05T23:20:10.2273163Z adding 'executorch/backends/xnnpack/test/ops/test_permute.py' 2025-06-05T23:20:10.2489261Z adding 'executorch/backends/xnnpack/test/ops/test_pow.py' 2025-06-05T23:20:10.2489647Z adding 'executorch/backends/xnnpack/test/ops/test_prelu.py' 2025-06-05T23:20:10.2490103Z adding 'executorch/backends/xnnpack/test/ops/test_quantize_per_tensor.py' 2025-06-05T23:20:10.2490300Z adding 'executorch/backends/xnnpack/test/ops/test_relu.py' 2025-06-05T23:20:10.2490472Z adding 'executorch/backends/xnnpack/test/ops/test_rsqrt.py' 2025-06-05T23:20:10.2490640Z adding 'executorch/backends/xnnpack/test/ops/test_sdpa.py' 2025-06-05T23:20:10.2490822Z adding 'executorch/backends/xnnpack/test/ops/test_sigmoid.py' 2025-06-05T23:20:10.2491035Z adding 'executorch/backends/xnnpack/test/ops/test_slice_copy.py' 2025-06-05T23:20:10.2491219Z adding 'executorch/backends/xnnpack/test/ops/test_softmax.py' 2025-06-05T23:20:10.2491423Z adding 'executorch/backends/xnnpack/test/ops/test_sqrt.py' 2025-06-05T23:20:10.2491725Z adding 'executorch/backends/xnnpack/test/ops/test_square.py' 2025-06-05T23:20:10.2491965Z adding 'executorch/backends/xnnpack/test/ops/test_static_constant_pad.py' 2025-06-05T23:20:10.2492347Z adding 'executorch/backends/xnnpack/test/ops/test_sub.py' 2025-06-05T23:20:10.2492612Z adding 'executorch/backends/xnnpack/test/passes/test_activation_fusion.py' 2025-06-05T23:20:10.2492853Z adding 'executorch/backends/xnnpack/test/passes/test_batch_norm_fusion.py' 2025-06-05T23:20:10.2493149Z adding 'executorch/backends/xnnpack/test/passes/test_channels_last_tagged_reshape.py' 2025-06-05T23:20:10.2493410Z adding 'executorch/backends/xnnpack/test/passes/test_convert_to_linear.py' 2025-06-05T23:20:10.2493726Z adding 'executorch/backends/xnnpack/test/passes/test_decompose_cat_pass.py' 2025-06-05T23:20:10.2493995Z adding 'executorch/backends/xnnpack/test/passes/test_remove_get_item_pass.py' 2025-06-05T23:20:10.2494260Z adding 'executorch/backends/xnnpack/test/passes/test_tag_implicit_q_dq_pass.py' 2025-06-05T23:20:10.2494639Z adding 'executorch/backends/xnnpack/test/quantizer/test_pt2e_quantization.py' 2025-06-05T23:20:10.2494884Z adding 'executorch/backends/xnnpack/test/quantizer/test_representation.py' 2025-06-05T23:20:10.2495144Z adding 'executorch/backends/xnnpack/test/quantizer/test_xnnpack_quantizer.py' 2025-06-05T23:20:10.2495423Z adding 'executorch/backends/xnnpack/test/serialization/test_serialization.py' 2025-06-05T23:20:10.2495667Z adding 'executorch/backends/xnnpack/test/serialization/test_xnnheader.py' 2025-06-05T23:20:10.2495846Z adding 'executorch/backends/xnnpack/test/tester/__init__.py' 2025-06-05T23:20:10.2496029Z adding 'executorch/backends/xnnpack/test/tester/tester.py' 2025-06-05T23:20:10.2496308Z adding 'executorch/backends/xnnpack/third-party/generate-cpuinfo-wrappers.py' 2025-06-05T23:20:10.2496627Z adding 'executorch/backends/xnnpack/third-party/FP16/configure.py' 2025-06-05T23:20:10.2496841Z adding 'executorch/backends/xnnpack/third-party/FP16/confu.yaml' 2025-06-05T23:20:10.2497103Z adding 'executorch/backends/xnnpack/third-party/FP16/include/fp16/__init__.py' 2025-06-05T23:20:10.2497345Z adding 'executorch/backends/xnnpack/third-party/FP16/include/fp16/avx.py' 2025-06-05T23:20:10.2497585Z adding 'executorch/backends/xnnpack/third-party/FP16/include/fp16/avx2.py' 2025-06-05T23:20:10.2497842Z adding 'executorch/backends/xnnpack/third-party/FP16/test/peachpy/stubs.py' 2025-06-05T23:20:10.2498054Z adding 'executorch/backends/xnnpack/third-party/FXdiv/configure.py' 2025-06-05T23:20:10.2498256Z adding 'executorch/backends/xnnpack/third-party/FXdiv/confu.yaml' 2025-06-05T23:20:10.2498542Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/scripts/check_config.py' 2025-06-05T23:20:10.2498842Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/scripts/check_files_changed.py' 2025-06-05T23:20:10.2499181Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/scripts/generate-build-identifier.py' 2025-06-05T23:20:10.2499562Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/scripts/sort-filenames.py' 2025-06-05T23:20:10.2499846Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/bf16-gemm-minmax.yaml' 2025-06-05T23:20:10.2500126Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-conv-hwc2chw.yaml' 2025-06-05T23:20:10.2500441Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-dwconv2d-chw.yaml' 2025-06-05T23:20:10.2500748Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-gemm-minmax.yaml' 2025-06-05T23:20:10.2501059Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-igemm-minmax.yaml' 2025-06-05T23:20:10.2501348Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-rdsum.yaml' 2025-06-05T23:20:10.2501618Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-rsum.yaml' 2025-06-05T23:20:10.2501891Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-gemm-minmax.yaml' 2025-06-05T23:20:10.2502195Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-ibilinear-chw.yaml' 2025-06-05T23:20:10.2502577Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-ibilinear.yaml' 2025-06-05T23:20:10.2502928Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-igemm-minmax.yaml' 2025-06-05T23:20:10.2503265Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-raddstoreexpminusmax.yaml' 2025-06-05T23:20:10.2503547Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rmax.yaml' 2025-06-05T23:20:10.2503839Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rmin.yaml' 2025-06-05T23:20:10.2504113Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rminmax.yaml' 2025-06-05T23:20:10.2504391Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rsum.yaml' 2025-06-05T23:20:10.2504679Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-spmm-minmax.yaml' 2025-06-05T23:20:10.2504977Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vmulcaddc-minmax.yaml' 2025-06-05T23:20:10.2505326Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-argmaxpool.yaml' 2025-06-05T23:20:10.2505592Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-conv-hwc.yaml' 2025-06-05T23:20:10.2505871Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-conv-hwc2chw.yaml' 2025-06-05T23:20:10.2506241Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-dwconv2d-chw.yaml' 2025-06-05T23:20:10.2506559Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm-goi-minmax.yaml' 2025-06-05T23:20:10.2506947Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm-minmax.yaml' 2025-06-05T23:20:10.2507257Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm-relu.yaml' 2025-06-05T23:20:10.2507504Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm.yaml' 2025-06-05T23:20:10.2507854Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemminc-minmax.yaml' 2025-06-05T23:20:10.2508180Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-ibilinear-chw.yaml' 2025-06-05T23:20:10.2508615Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-ibilinear.yaml' 2025-06-05T23:20:10.2508895Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm-minmax.yaml' 2025-06-05T23:20:10.2509184Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm-relu.yaml' 2025-06-05T23:20:10.2509491Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm.yaml' 2025-06-05T23:20:10.2509768Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-ppmm-minmax.yaml' 2025-06-05T23:20:10.2510124Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc4w-gemm-minmax.yaml' 2025-06-05T23:20:10.2510524Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm-minmax.yaml' 2025-06-05T23:20:10.2510941Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm-relu.yaml' 2025-06-05T23:20:10.2511245Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm.yaml' 2025-06-05T23:20:10.2511565Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddexpminusmax.yaml' 2025-06-05T23:20:10.2511841Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddextexp.yaml' 2025-06-05T23:20:10.2512217Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddstoreexpminusmax.yaml' 2025-06-05T23:20:10.2512603Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rdsum.yaml' 2025-06-05T23:20:10.2512847Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rmax.yaml' 2025-06-05T23:20:10.2513090Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rmin.yaml' 2025-06-05T23:20:10.2513415Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rminmax.yaml' 2025-06-05T23:20:10.2513655Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rsum.yaml' 2025-06-05T23:20:10.2513938Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-spmm-minmax.yaml' 2025-06-05T23:20:10.2514463Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vmulcaddc-minmax.yaml' 2025-06-05T23:20:10.2514814Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vscaleexpminusmax.yaml' 2025-06-05T23:20:10.2515127Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vscaleextexp.yaml' 2025-06-05T23:20:10.2515446Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qb4w-gemm-minmax.yaml' 2025-06-05T23:20:10.2515833Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc4w-gemm-minmax.yaml' 2025-06-05T23:20:10.2516263Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc8w-gemm-minmax.yaml' 2025-06-05T23:20:10.2516652Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc8w-igemm-minmax.yaml' 2025-06-05T23:20:10.2517082Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qb4w-gemm-minmax.yaml' 2025-06-05T23:20:10.2517455Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qc4w-gemm-minmax.yaml' 2025-06-05T23:20:10.2517767Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qc8w-gemm-minmax.yaml' 2025-06-05T23:20:10.2518205Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qc8w-igemm-minmax.yaml' 2025-06-05T23:20:10.2518524Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qp8-f32-qb4w-gemm-minmax.yaml' 2025-06-05T23:20:10.2518911Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qp8-f32-qc4w-gemm-minmax.yaml' 2025-06-05T23:20:10.2519250Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-qc8w-gemm-minmax-fp32.yaml' 2025-06-05T23:20:10.5770513Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-qc8w-igemm-minmax-fp32.yaml' 2025-06-05T23:20:10.5772084Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-rdsum-minmax-fp32.yaml' 2025-06-05T23:20:10.5773504Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-rsum.yaml' 2025-06-05T23:20:10.5774668Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-gemm-minmax-fp32.yaml' 2025-06-05T23:20:10.5775977Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-gemm-minmax-rndnu.yaml' 2025-06-05T23:20:10.5777308Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-igemm-minmax-fp32.yaml' 2025-06-05T23:20:10.5778662Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-igemm-minmax-rndnu.yaml' 2025-06-05T23:20:10.5779919Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-rdsum.yaml' 2025-06-05T23:20:10.5781054Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-rsum.yaml' 2025-06-05T23:20:10.5782197Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/s8-ibilinear.yaml' 2025-06-05T23:20:10.5783389Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/u8-ibilinear.yaml' 2025-06-05T23:20:10.5784578Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/u8-lut32norm.yaml' 2025-06-05T23:20:10.5785751Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/u8-rmax.yaml' 2025-06-05T23:20:10.5786838Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/x8-lut.yaml' 2025-06-05T23:20:10.5788089Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-argmaxpool-test.py' 2025-06-05T23:20:10.5789440Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc-test.py' 2025-06-05T23:20:10.5790912Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc2chw-test.py' 2025-06-05T23:20:10.5792378Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-multipass-test.py' 2025-06-05T23:20:10.5793923Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-unipass-test.py' 2025-06-05T23:20:10.5795425Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv2d-chw-test.py' 2025-06-05T23:20:10.5797057Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-gemm-test.py' 2025-06-05T23:20:10.5798412Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-ibilinear-chw-test.py' 2025-06-05T23:20:10.5799867Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-ibilinear-test.py' 2025-06-05T23:20:10.5801219Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-lut-norm-test.py' 2025-06-05T23:20:10.5802549Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-lut-test.py' 2025-06-05T23:20:10.5804105Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddexpminusmax-test.py' 2025-06-05T23:20:10.5805572Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddextexp-test.py' 2025-06-05T23:20:10.5807096Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddstoreexpminusmax-test.py' 2025-06-05T23:20:10.5808832Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-rdsum-benchmark.py' 2025-06-05T23:20:10.5810214Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-rdsum-test.py' 2025-06-05T23:20:10.5811536Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-reduce-test.py' 2025-06-05T23:20:10.5812828Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-spmm-test.py' 2025-06-05T23:20:10.5814146Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vbinary-test.py' 2025-06-05T23:20:10.5815500Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vmulcaddc-test.py' 2025-06-05T23:20:10.5816962Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vscaleexpminusmax-test.py' 2025-06-05T23:20:10.5818463Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vscaleextexp-test.py' 2025-06-05T23:20:10.5819874Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vunary-test.py' 2025-06-05T23:20:10.5821127Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/primes.py' 2025-06-05T23:20:10.5822295Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/update-microkernels.py' 2025-06-05T23:20:10.5823476Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/xngen.py' 2025-06-05T23:20:10.5824572Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/xnncommon.py' 2025-06-05T23:20:10.5825613Z adding 'executorch/backends/xnnpack/third-party/cpuinfo/configure.py' 2025-06-05T23:20:10.5826645Z adding 'executorch/backends/xnnpack/third-party/cpuinfo/confu.yaml' 2025-06-05T23:20:10.5827707Z adding 'executorch/backends/xnnpack/third-party/cpuinfo/deps/clog/configure.py' 2025-06-05T23:20:10.5828930Z adding 'executorch/backends/xnnpack/third-party/cpuinfo/deps/clog/confu.yaml' 2025-06-05T23:20:10.5830192Z adding 'executorch/backends/xnnpack/third-party/cpuinfo/scripts/android-device-dump.py' 2025-06-05T23:20:10.5831636Z adding 'executorch/backends/xnnpack/third-party/cpuinfo/scripts/arm-linux-filesystem-dump.py' 2025-06-05T23:20:10.5833018Z adding 'executorch/backends/xnnpack/third-party/cpuinfo/scripts/parse-x86-cpuid-dump.py' 2025-06-05T23:20:10.5834304Z adding 'executorch/backends/xnnpack/third-party/pthreadpool/configure.py' 2025-06-05T23:20:10.5835419Z adding 'executorch/backends/xnnpack/third-party/pthreadpool/confu.yaml' 2025-06-05T23:20:10.5836336Z adding 'executorch/backends/xnnpack/utils/configs.py' 2025-06-05T23:20:10.5837120Z adding 'executorch/backends/xnnpack/utils/quant_utils.py' 2025-06-05T23:20:10.5837870Z adding 'executorch/backends/xnnpack/utils/utils.py' 2025-06-05T23:20:10.5838693Z adding 'executorch/backends/xnnpack/utils/xnnpack_constants.py' 2025-06-05T23:20:10.5839446Z adding 'executorch/codegen/__init__.py' 2025-06-05T23:20:10.5839995Z adding 'executorch/codegen/gen.py' 2025-06-05T23:20:10.5840517Z adding 'executorch/codegen/model.py' 2025-06-05T23:20:10.5841090Z adding 'executorch/codegen/parse.py' 2025-06-05T23:20:10.5841814Z adding 'executorch/codegen/api/__init__.py' 2025-06-05T23:20:10.5842419Z adding 'executorch/codegen/api/custom_ops.py' 2025-06-05T23:20:10.5843029Z adding 'executorch/codegen/api/et_cpp.py' 2025-06-05T23:20:10.5843643Z adding 'executorch/codegen/api/unboxing.py' 2025-06-05T23:20:10.5844299Z adding 'executorch/codegen/api/types/__init__.py' 2025-06-05T23:20:10.5844953Z adding 'executorch/codegen/api/types/signatures.py' 2025-06-05T23:20:10.5845612Z adding 'executorch/codegen/api/types/types.py' 2025-06-05T23:20:10.5846352Z adding 'executorch/codegen/test/test_executorch_custom_ops.py' 2025-06-05T23:20:10.5847182Z adding 'executorch/codegen/test/test_executorch_gen.py' 2025-06-05T23:20:10.5847977Z adding 'executorch/codegen/test/test_executorch_signatures.py' 2025-06-05T23:20:10.5848809Z adding 'executorch/codegen/test/test_executorch_types.py' 2025-06-05T23:20:10.5849807Z adding 'executorch/codegen/test/test_executorch_unboxing.py' 2025-06-05T23:20:10.5850633Z adding 'executorch/codegen/test/test_selective_build.py' 2025-06-05T23:20:10.5851343Z adding 'executorch/codegen/tools/__init__.py' 2025-06-05T23:20:10.5851956Z adding 'executorch/codegen/tools/gen_all_oplist.py' 2025-06-05T23:20:10.5852642Z adding 'executorch/codegen/tools/gen_oplist.py' 2025-06-05T23:20:10.5853291Z adding 'executorch/codegen/tools/gen_ops_def.py' 2025-06-05T23:20:10.5854035Z adding 'executorch/codegen/tools/gen_selected_op_variants.py' 2025-06-05T23:20:10.5854819Z adding 'executorch/codegen/tools/merge_yaml.py' 2025-06-05T23:20:10.5855454Z adding 'executorch/codegen/tools/yaml_util.py' 2025-06-05T23:20:10.5856177Z adding 'executorch/codegen/tools/test/test_gen_all_oplist.py' 2025-06-05T23:20:10.5856990Z adding 'executorch/codegen/tools/test/test_gen_oplist.py' 2025-06-05T23:20:10.5857872Z adding 'executorch/codegen/tools/test/test_gen_oplist_real_model.py' 2025-06-05T23:20:10.5858906Z adding 'executorch/codegen/tools/test/test_gen_selected_op_variants.py' 2025-06-05T23:20:10.5859738Z adding 'executorch/data/bin/__init__.py' 2025-06-05T23:20:10.5860302Z adding 'executorch/data/bin/flatc' 2025-06-05T23:20:10.5860831Z adding 'executorch/devtools/__init__.py' 2025-06-05T23:20:10.5861500Z adding 'executorch/devtools/backend_debug/__init__.py' 2025-06-05T23:20:10.5862280Z adding 'executorch/devtools/backend_debug/delegation_info.py' 2025-06-05T23:20:10.5863240Z adding 'executorch/devtools/backend_debug/tests/test_delegation_info.py' 2025-06-05T23:20:10.5864134Z adding 'executorch/devtools/bundled_program/config.py' 2025-06-05T23:20:10.5864864Z adding 'executorch/devtools/bundled_program/core.py' 2025-06-05T23:20:10.5865625Z adding 'executorch/devtools/bundled_program/version.py' 2025-06-05T23:20:10.5866426Z adding 'executorch/devtools/bundled_program/schema/__init__.py' 2025-06-05T23:20:10.5867438Z adding 'executorch/devtools/bundled_program/schema/bundled_program_schema.fbs' 2025-06-05T23:20:10.5868587Z adding 'executorch/devtools/bundled_program/schema/bundled_program_schema.py' 2025-06-05T23:20:10.5869692Z adding 'executorch/devtools/bundled_program/schema/scalar_type.fbs' 2025-06-05T23:20:10.5870698Z adding 'executorch/devtools/bundled_program/schema/test/test_schema.py' 2025-06-05T23:20:10.5871803Z adding 'executorch/devtools/bundled_program/serialize/__init__.py' 2025-06-05T23:20:10.5873033Z adding 'executorch/devtools/bundled_program/serialize/bundled_program_schema.fbs' 2025-06-05T23:20:10.5874080Z adding 'executorch/devtools/bundled_program/serialize/scalar_type.fbs' 2025-06-05T23:20:10.5875129Z adding 'executorch/devtools/bundled_program/serialize/test/test_serialize.py' 2025-06-05T23:20:10.5876205Z adding 'executorch/devtools/bundled_program/test/test_bundle_data.py' 2025-06-05T23:20:10.5877142Z adding 'executorch/devtools/bundled_program/test/test_config.py' 2025-06-05T23:20:10.5878070Z adding 'executorch/devtools/bundled_program/test/test_end2end.py' 2025-06-05T23:20:10.5878983Z adding 'executorch/devtools/bundled_program/util/test_util.py' 2025-06-05T23:20:10.5880067Z adding 'executorch/devtools/debug_format/base_schema.py' 2025-06-05T23:20:10.5880850Z adding 'executorch/devtools/debug_format/et_schema.py' 2025-06-05T23:20:10.5881626Z adding 'executorch/devtools/etdump/etdump_schema_flatcc.fbs' 2025-06-05T23:20:10.5882327Z adding 'executorch/devtools/etdump/scalar_type.fbs' 2025-06-05T23:20:10.5883041Z adding 'executorch/devtools/etdump/schema_flatcc.py' 2025-06-05T23:20:10.5883710Z adding 'executorch/devtools/etdump/serialize.py' 2025-06-05T23:20:10.5884451Z adding 'executorch/devtools/etdump/tests/serialize_test.py' 2025-06-05T23:20:10.5885200Z adding 'executorch/devtools/etrecord/__init__.py' 2025-06-05T23:20:10.5885853Z adding 'executorch/devtools/etrecord/_etrecord.py' 2025-06-05T23:20:10.5886634Z adding 'executorch/devtools/etrecord/tests/etrecord_test.py' 2025-06-05T23:20:10.5887608Z adding 'executorch/devtools/inspector/__init__.py' 2025-06-05T23:20:10.6172574Z adding 'executorch/devtools/inspector/_inspector.py' 2025-06-05T23:20:10.6173585Z adding 'executorch/devtools/inspector/_inspector_utils.py' 2025-06-05T23:20:10.6174342Z adding 'executorch/devtools/inspector/_intermediate_output_capturer.py' 2025-06-05T23:20:10.6174960Z adding 'executorch/devtools/inspector/inspector_cli.py' 2025-06-05T23:20:10.6175505Z adding 'executorch/devtools/inspector/tests/event_blocks_test.py' 2025-06-05T23:20:10.6176103Z adding 'executorch/devtools/inspector/tests/inspector_test.py' 2025-06-05T23:20:10.6176619Z adding 'executorch/devtools/inspector/tests/inspector_test_utils.py' 2025-06-05T23:20:10.6177169Z adding 'executorch/devtools/inspector/tests/inspector_utils_test.py' 2025-06-05T23:20:10.6177814Z adding 'executorch/devtools/inspector/tests/intermediate_output_capturer_test.py' 2025-06-05T23:20:10.6178536Z adding 'executorch/devtools/size_analysis_tool/size_analysis_tool.py' 2025-06-05T23:20:10.6179127Z adding 'executorch/devtools/size_analysis_tool/size_analysis_tool_test.py' 2025-06-05T23:20:10.6179713Z adding 'executorch/devtools/visualization/__init__.py' 2025-06-05T23:20:10.6180267Z adding 'executorch/devtools/visualization/visualization_utils.py' 2025-06-05T23:20:10.6180810Z adding 'executorch/devtools/visualization/visualization_utils_test.py' 2025-06-05T23:20:10.6181467Z adding 'executorch/examples/apple/coreml/llama/export.py' 2025-06-05T23:20:10.6182031Z adding 'executorch/examples/apple/coreml/llama/llama_transformer.py' 2025-06-05T23:20:10.6182572Z adding 'executorch/examples/apple/coreml/llama/run.py' 2025-06-05T23:20:10.6183006Z adding 'executorch/examples/apple/coreml/llama/test.py' 2025-06-05T23:20:10.6183570Z adding 'executorch/examples/apple/coreml/llama/utils.py' 2025-06-05T23:20:10.6184136Z adding 'executorch/examples/apple/coreml/scripts/debugger_cli.py' 2025-06-05T23:20:10.6184644Z adding 'executorch/examples/apple/coreml/scripts/export.py' 2025-06-05T23:20:10.6185182Z adding 'executorch/examples/apple/coreml/scripts/extract_coreml_models.py' 2025-06-05T23:20:10.6185772Z adding 'executorch/examples/apple/coreml/scripts/inspector_cli.py' 2025-06-05T23:20:10.6186304Z adding 'executorch/examples/apple/coreml/scripts/inspector_utils.py' 2025-06-05T23:20:10.6186821Z adding 'executorch/examples/apple/mps/scripts/bench_utils.py' 2025-06-05T23:20:10.6187383Z adding 'executorch/examples/apple/mps/scripts/mps_example.py' 2025-06-05T23:20:10.6187910Z adding 'executorch/examples/llm_pte_finetuning/__init__.py' 2025-06-05T23:20:10.6188484Z adding 'executorch/examples/llm_pte_finetuning/llama3_config.yaml' 2025-06-05T23:20:10.6188996Z adding 'executorch/examples/llm_pte_finetuning/model_exporter.py' 2025-06-05T23:20:10.6189530Z adding 'executorch/examples/llm_pte_finetuning/model_loading_lib.py' 2025-06-05T23:20:10.6190094Z adding 'executorch/examples/llm_pte_finetuning/phi3_alpaca_code_config.yaml' 2025-06-05T23:20:10.6190670Z adding 'executorch/examples/llm_pte_finetuning/phi3_config.yaml' 2025-06-05T23:20:10.6191276Z adding 'executorch/examples/llm_pte_finetuning/qwen_05b_config.yaml' 2025-06-05T23:20:10.6192011Z adding 'executorch/examples/llm_pte_finetuning/runner.py' 2025-06-05T23:20:10.6192494Z adding 'executorch/examples/llm_pte_finetuning/training_lib.py' 2025-06-05T23:20:10.6193068Z adding 'executorch/examples/models/__init__.py' 2025-06-05T23:20:10.6193474Z adding 'executorch/examples/models/checkpoint.py' 2025-06-05T23:20:10.6193925Z adding 'executorch/examples/models/model_base.py' 2025-06-05T23:20:10.6194323Z adding 'executorch/examples/models/model_factory.py' 2025-06-05T23:20:10.6194746Z adding 'executorch/examples/models/deeplab_v3/__init__.py' 2025-06-05T23:20:10.6195189Z adding 'executorch/examples/models/deeplab_v3/model.py' 2025-06-05T23:20:10.6195606Z adding 'executorch/examples/models/edsr/__init__.py' 2025-06-05T23:20:10.6195987Z adding 'executorch/examples/models/edsr/model.py' 2025-06-05T23:20:10.6196720Z adding 'executorch/examples/models/efficient_sam/__init__.py' 2025-06-05T23:20:10.6197258Z adding 'executorch/examples/models/efficient_sam/model.py' 2025-06-05T23:20:10.6197865Z adding 'executorch/examples/models/efficient_sam/efficient_sam_core/build_efficient_sam.py' 2025-06-05T23:20:10.6198579Z adding 'executorch/examples/models/efficient_sam/efficient_sam_core/efficient_sam.py' 2025-06-05T23:20:10.6199452Z adding 'executorch/examples/models/efficient_sam/efficient_sam_core/efficient_sam_decoder.py' 2025-06-05T23:20:10.6200300Z adding 'executorch/examples/models/efficient_sam/efficient_sam_core/efficient_sam_encoder.py' 2025-06-05T23:20:10.6200980Z adding 'executorch/examples/models/efficient_sam/efficient_sam_core/mlp.py' 2025-06-05T23:20:10.6201781Z adding 'executorch/examples/models/efficient_sam/efficient_sam_core/two_way_transformer.py' 2025-06-05T23:20:10.6202467Z adding 'executorch/examples/models/emformer_rnnt/__init__.py' 2025-06-05T23:20:10.6202956Z adding 'executorch/examples/models/emformer_rnnt/model.py' 2025-06-05T23:20:10.6203527Z adding 'executorch/examples/models/inception_v3/__init__.py' 2025-06-05T23:20:10.6204071Z adding 'executorch/examples/models/inception_v3/model.py' 2025-06-05T23:20:10.6204531Z adding 'executorch/examples/models/inception_v4/__init__.py' 2025-06-05T23:20:10.6205038Z adding 'executorch/examples/models/inception_v4/model.py' 2025-06-05T23:20:10.6205554Z adding 'executorch/examples/models/llama/__init__.py' 2025-06-05T23:20:10.6206042Z adding 'executorch/examples/models/llama/attention.py' 2025-06-05T23:20:10.6206473Z adding 'executorch/examples/models/llama/eval_llama.py' 2025-06-05T23:20:10.6206980Z adding 'executorch/examples/models/llama/eval_llama_lib.py' 2025-06-05T23:20:10.6207503Z adding 'executorch/examples/models/llama/export_llama.py' 2025-06-05T23:20:10.6208049Z adding 'executorch/examples/models/llama/export_llama_lib.py' 2025-06-05T23:20:10.6208486Z adding 'executorch/examples/models/llama/fairseq2.py' 2025-06-05T23:20:10.6209067Z adding 'executorch/examples/models/llama/hf_download.py' 2025-06-05T23:20:10.6209734Z adding 'executorch/examples/models/llama/install_requirement_helper.py' 2025-06-05T23:20:10.6210281Z adding 'executorch/examples/models/llama/llama_transformer.py' 2025-06-05T23:20:10.6210788Z adding 'executorch/examples/models/llama/model.py' 2025-06-05T23:20:10.6211308Z adding 'executorch/examples/models/llama/model_args.py' 2025-06-05T23:20:10.6211716Z adding 'executorch/examples/models/llama/norm.py' 2025-06-05T23:20:10.6212102Z adding 'executorch/examples/models/llama/rope.py' 2025-06-05T23:20:10.6212541Z adding 'executorch/examples/models/llama/static_attention.py' 2025-06-05T23:20:10.6213116Z adding 'executorch/examples/models/llama/evaluate/__init__.py' 2025-06-05T23:20:10.6213703Z adding 'executorch/examples/models/llama/evaluate/eager_eval.py' 2025-06-05T23:20:10.6214252Z adding 'executorch/examples/models/llama/experimental/generate.py' 2025-06-05T23:20:10.6214872Z adding 'executorch/examples/models/llama/experimental/load_gguf_q4_0.py' 2025-06-05T23:20:10.6215515Z adding 'executorch/examples/models/llama/experimental/subclass.py' 2025-06-05T23:20:10.6216206Z adding 'executorch/examples/models/llama/experimental/test_subclass.py' 2025-06-05T23:20:10.6216736Z adding 'executorch/examples/models/llama/runner/eager.py' 2025-06-05T23:20:10.6217197Z adding 'executorch/examples/models/llama/runner/generation.py' 2025-06-05T23:20:10.6217685Z adding 'executorch/examples/models/llama/runner/native.py' 2025-06-05T23:20:10.6218244Z adding 'executorch/examples/models/llama/source_transformation/__init__.py' 2025-06-05T23:20:10.6219046Z adding 'executorch/examples/models/llama/source_transformation/apply_spin_quant_r1_r2.py' 2025-06-05T23:20:10.6219726Z adding 'executorch/examples/models/llama/source_transformation/attention.py' 2025-06-05T23:20:10.6220371Z adding 'executorch/examples/models/llama/source_transformation/attention_sink.py' 2025-06-05T23:20:10.6221231Z adding 'executorch/examples/models/llama/source_transformation/custom_kv_cache.py' 2025-06-05T23:20:10.6221931Z adding 'executorch/examples/models/llama/source_transformation/lora.py' 2025-06-05T23:20:10.6222576Z adding 'executorch/examples/models/llama/source_transformation/pre_quantization.py' 2025-06-05T23:20:10.6223321Z adding 'executorch/examples/models/llama/source_transformation/prune_vocab.py' 2025-06-05T23:20:10.6224018Z adding 'executorch/examples/models/llama/source_transformation/quantize.py' 2025-06-05T23:20:10.6224631Z adding 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adding 'executorch/examples/models/llama/tests/test_export_llama_lib.py' 2025-06-05T23:20:10.6231818Z adding 'executorch/examples/models/llama/tests/test_pre_quantization_transforms.py' 2025-06-05T23:20:10.6232504Z adding 'executorch/examples/models/llama/tests/test_replace_kv_cache.py' 2025-06-05T23:20:10.6233197Z adding 'executorch/examples/models/llama/tests/test_ring_attention.py' 2025-06-05T23:20:10.6233740Z adding 'executorch/examples/models/llama/tests/test_ring_kv_cache.py' 2025-06-05T23:20:10.6234323Z adding 'executorch/examples/models/llama/tests/test_simple_sdpa.py' 2025-06-05T23:20:10.6234993Z adding 'executorch/examples/models/llama/tests/test_static_attention.py' 2025-06-05T23:20:10.6235550Z adding 'executorch/examples/models/llama/tokenizer/tiktoken.py' 2025-06-05T23:20:10.6236042Z adding 'executorch/examples/models/llama3_2_vision/__init__.py' 2025-06-05T23:20:10.6236585Z adding 'executorch/examples/models/llama3_2_vision/preprocess/__init__.py' 2025-06-05T23:20:10.6237308Z adding 'executorch/examples/models/llama3_2_vision/preprocess/export_preprocess.py' 2025-06-05T23:20:10.6238002Z adding 'executorch/examples/models/llama3_2_vision/preprocess/model.py' 2025-06-05T23:20:10.6238624Z adding 'executorch/examples/models/llama3_2_vision/preprocess/test_preprocess.py' 2025-06-05T23:20:10.6239282Z adding 'executorch/examples/models/llama3_2_vision/runner/eager.py' 2025-06-05T23:20:10.6239958Z adding 'executorch/examples/models/llama3_2_vision/runner/exported.py' 2025-06-05T23:20:10.6240533Z adding 'executorch/examples/models/llama3_2_vision/runner/generation.py' 2025-06-05T23:20:10.6241214Z adding 'executorch/examples/models/llama3_2_vision/runner/native.py' 2025-06-05T23:20:10.6241873Z adding 'executorch/examples/models/llama3_2_vision/text_decoder/model.py' 2025-06-05T23:20:10.6654641Z adding 'executorch/examples/models/llama3_2_vision/text_decoder/test/__init__.py' 2025-06-05T23:20:10.6656023Z adding 'executorch/examples/models/llama3_2_vision/text_decoder/test/test_text_decoder.py' 2025-06-05T23:20:10.6657076Z adding 'executorch/examples/models/llama3_2_vision/vision_encoder/__init__.py' 2025-06-05T23:20:10.6657762Z adding 'executorch/examples/models/llama3_2_vision/vision_encoder/model.py' 2025-06-05T23:20:10.6658507Z adding 'executorch/examples/models/llama3_2_vision/vision_encoder/test/__init__.py' 2025-06-05T23:20:10.6659222Z adding 'executorch/examples/models/llama3_2_vision/vision_encoder/test/test_vision_encoder.py' 2025-06-05T23:20:10.6660141Z adding 'executorch/examples/models/llava/__init__.py' 2025-06-05T23:20:10.6660706Z adding 'executorch/examples/models/llava/export_llava.py' 2025-06-05T23:20:10.6661132Z adding 'executorch/examples/models/llava/model.py' 2025-06-05T23:20:10.6661569Z adding 'executorch/examples/models/llava/test/test_llava.py' 2025-06-05T23:20:10.6662025Z adding 'executorch/examples/models/llava/test/test_pte.py' 2025-06-05T23:20:10.6662452Z adding 'executorch/examples/models/lstm/__init__.py' 2025-06-05T23:20:10.6662892Z adding 'executorch/examples/models/lstm/model.py' 2025-06-05T23:20:10.6663412Z adding 'executorch/examples/models/mobilebert/__init__.py' 2025-06-05T23:20:10.6663856Z adding 'executorch/examples/models/mobilebert/model.py' 2025-06-05T23:20:10.6664293Z adding 'executorch/examples/models/mobilenet_v2/__init__.py' 2025-06-05T23:20:10.6664751Z adding 'executorch/examples/models/mobilenet_v2/model.py' 2025-06-05T23:20:10.6665208Z adding 'executorch/examples/models/mobilenet_v3/__init__.py' 2025-06-05T23:20:10.6665664Z adding 'executorch/examples/models/mobilenet_v3/model.py' 2025-06-05T23:20:10.6666122Z adding 'executorch/examples/models/moshi/mimi/test_mimi.py' 2025-06-05T23:20:10.6666571Z adding 'executorch/examples/models/phi-3-mini/__init__.py' 2025-06-05T23:20:10.6667036Z adding 'executorch/examples/models/phi-3-mini/eager.py' 2025-06-05T23:20:10.6667675Z adding 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2025-06-05T23:20:10.6678485Z adding 'executorch/exir/_warnings.py' 2025-06-05T23:20:10.6678794Z adding 'executorch/exir/common.py' 2025-06-05T23:20:10.6679117Z adding 'executorch/exir/control_flow.py' 2025-06-05T23:20:10.6679435Z adding 'executorch/exir/delegate.py' 2025-06-05T23:20:10.6679766Z adding 'executorch/exir/delegate.pyi' 2025-06-05T23:20:10.6680105Z adding 'executorch/exir/dim_order_utils.py' 2025-06-05T23:20:10.6680441Z adding 'executorch/exir/dynamic_shape.py' 2025-06-05T23:20:10.6680773Z adding 'executorch/exir/error.py' 2025-06-05T23:20:10.6681154Z adding 'executorch/exir/graph.py' 2025-06-05T23:20:10.6681464Z adding 'executorch/exir/graph_module.py' 2025-06-05T23:20:10.6681818Z adding 'executorch/exir/lowered_backend_module.py' 2025-06-05T23:20:10.6682186Z adding 'executorch/exir/memory.py' 2025-06-05T23:20:10.6682499Z adding 'executorch/exir/memory_planning.py' 2025-06-05T23:20:10.6682840Z adding 'executorch/exir/pass_base.py' 2025-06-05T23:20:10.6683169Z adding 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'executorch/exir/_serialize/_named_data_store.py' 2025-06-05T23:20:10.6688173Z adding 'executorch/exir/_serialize/_program.py' 2025-06-05T23:20:10.6688541Z adding 'executorch/exir/_serialize/_serialize.py' 2025-06-05T23:20:10.6688948Z adding 'executorch/exir/_serialize/data_serializer.py' 2025-06-05T23:20:10.6689353Z adding 'executorch/exir/_serialize/padding.py' 2025-06-05T23:20:10.6689712Z adding 'executorch/exir/_serialize/program.fbs' 2025-06-05T23:20:10.6690097Z adding 'executorch/exir/_serialize/scalar_type.fbs' 2025-06-05T23:20:10.6690482Z adding 'executorch/exir/_serialize/test/__init__.py' 2025-06-05T23:20:10.6690891Z adding 'executorch/exir/_serialize/test/test_cord.py' 2025-06-05T23:20:10.6691312Z adding 'executorch/exir/_serialize/test/test_flatbuffer.py' 2025-06-05T23:20:10.6691802Z adding 'executorch/exir/_serialize/test/test_named_data_store.py' 2025-06-05T23:20:10.6692324Z adding 'executorch/exir/_serialize/test/test_program.py' 2025-06-05T23:20:10.6692787Z adding 'executorch/exir/backend/backend_api.py' 2025-06-05T23:20:10.6693261Z adding 'executorch/exir/backend/backend_details.py' 2025-06-05T23:20:10.6693662Z adding 'executorch/exir/backend/compile_spec_schema.py' 2025-06-05T23:20:10.6694085Z adding 'executorch/exir/backend/operator_support.py' 2025-06-05T23:20:10.6694467Z adding 'executorch/exir/backend/partitioner.py' 2025-06-05T23:20:10.6694837Z adding 'executorch/exir/backend/utils.py' 2025-06-05T23:20:10.6695315Z adding 'executorch/exir/backend/canonical_partitioners/all_node_partitioner.py' 2025-06-05T23:20:10.6695966Z adding 'executorch/exir/backend/canonical_partitioners/config_partitioner.py' 2025-06-05T23:20:10.6696649Z adding 'executorch/exir/backend/canonical_partitioners/duplicate_constant_node_pass.py' 2025-06-05T23:20:10.6697435Z adding 'executorch/exir/backend/canonical_partitioners/duplicate_dequant_node_pass.py' 2025-06-05T23:20:10.6698130Z adding 'executorch/exir/backend/canonical_partitioners/pattern_op_partitioner.py' 2025-06-05T23:20:10.6698731Z adding 'executorch/exir/backend/test/backend_with_compiler_demo.py' 2025-06-05T23:20:10.6699303Z adding 'executorch/exir/backend/test/backend_with_delegate_mapping_demo.py' 2025-06-05T23:20:10.6699869Z adding 'executorch/exir/backend/test/backend_with_named_data_map.py' 2025-06-05T23:20:10.6700438Z adding 'executorch/exir/backend/test/backend_with_preprocess_all_demo.py' 2025-06-05T23:20:10.6700979Z adding 'executorch/exir/backend/test/hta_partitioner_demo.py' 2025-06-05T23:20:10.6701446Z adding 'executorch/exir/backend/test/op_partitioner_demo.py' 2025-06-05T23:20:10.6701962Z adding 'executorch/exir/backend/test/qnn_backend_demo.py' 2025-06-05T23:20:10.6702465Z adding 'executorch/exir/backend/test/test_backend_with_named_data_map.py' 2025-06-05T23:20:10.6702974Z adding 'executorch/exir/backend/test/test_backends.py' 2025-06-05T23:20:10.6703408Z adding 'executorch/exir/backend/test/test_backends_lifted.py' 2025-06-05T23:20:10.6703885Z adding 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adding 'executorch/exir/backend/test/demos/test_xnnpack_qnnpack.py' 2025-06-05T23:20:10.6709784Z adding 'executorch/exir/backend/test/demos/rpc/executor_backend_partitioner.py' 2025-06-05T23:20:10.6710425Z adding 'executorch/exir/backend/test/demos/rpc/executor_backend_preprocess.py' 2025-06-05T23:20:10.6711100Z adding 'executorch/exir/backend/test/demos/rpc/test_rpc.py' 2025-06-05T23:20:10.6711589Z adding 'executorch/exir/capture/__init__.py' 2025-06-05T23:20:10.6712015Z adding 'executorch/exir/capture/_capture.py' 2025-06-05T23:20:10.6712369Z adding 'executorch/exir/capture/_config.py' 2025-06-05T23:20:10.6712706Z adding 'executorch/exir/capture/_unlift.py' 2025-06-05T23:20:10.6713076Z adding 'executorch/exir/dialects/__init__.py' 2025-06-05T23:20:10.6713417Z adding 'executorch/exir/dialects/_ops.py' 2025-06-05T23:20:10.6713779Z adding 'executorch/exir/dialects/backend/_ops.py' 2025-06-05T23:20:10.6714242Z adding 'executorch/exir/dialects/backend/test/test_backend_ops.py' 2025-06-05T23:20:10.6714678Z adding 'executorch/exir/dialects/edge/_ops.py' 2025-06-05T23:20:10.6715051Z adding 'executorch/exir/dialects/edge/edge.yaml' 2025-06-05T23:20:10.6715427Z adding 'executorch/exir/dialects/edge/arg/model.py' 2025-06-05T23:20:10.6715815Z adding 'executorch/exir/dialects/edge/arg/type.py' 2025-06-05T23:20:10.6716207Z adding 'executorch/exir/dialects/edge/dtype/runner.py' 2025-06-05T23:20:10.6716642Z adding 'executorch/exir/dialects/edge/dtype/supported.py' 2025-06-05T23:20:10.6717063Z adding 'executorch/exir/dialects/edge/dtype/utils.py' 2025-06-05T23:20:10.6717454Z adding 'executorch/exir/dialects/edge/op/api.py' 2025-06-05T23:20:10.6717871Z adding 'executorch/exir/dialects/edge/op/sample_input.py' 2025-06-05T23:20:10.6718311Z adding 'executorch/exir/dialects/edge/op/test/test_api.py' 2025-06-05T23:20:10.6718826Z adding 'executorch/exir/dialects/edge/spec/gen.py' 2025-06-05T23:20:10.6719253Z adding 'executorch/exir/dialects/edge/spec/utils.py' 2025-06-05T23:20:10.7726897Z adding 'executorch/exir/dialects/edge/test/test_edge_ops.py' 2025-06-05T23:20:10.7727854Z adding 'executorch/exir/dialects/edge/test/test_edge_yaml.py' 2025-06-05T23:20:10.7728551Z adding 'executorch/exir/dialects/test/test_exir_dialect_ops.py' 2025-06-05T23:20:10.7728990Z adding 'executorch/exir/emit/__init__.py' 2025-06-05T23:20:10.7729397Z adding 'executorch/exir/emit/_emit_program.py' 2025-06-05T23:20:10.7729748Z adding 'executorch/exir/emit/_emitter.py' 2025-06-05T23:20:10.7730107Z adding 'executorch/exir/emit/test/test_emit.py' 2025-06-05T23:20:10.7730464Z adding 'executorch/exir/operator/convert.py' 2025-06-05T23:20:10.7731108Z adding 'executorch/exir/operator/manip.py' 2025-06-05T23:20:10.7731514Z adding 'executorch/exir/operator/util.py' 2025-06-05T23:20:10.7731905Z adding 'executorch/exir/operator/test/test_operator.py' 2025-06-05T23:20:10.7732308Z adding 'executorch/exir/passes/__init__.py' 2025-06-05T23:20:10.7732747Z adding 'executorch/exir/passes/_quant_patterns_and_replacements.py' 2025-06-05T23:20:10.7733224Z adding 'executorch/exir/passes/const_prop_pass.py' 2025-06-05T23:20:10.7733668Z adding 'executorch/exir/passes/constant_prop_pass.py' 2025-06-05T23:20:10.7734182Z adding 'executorch/exir/passes/debug_handle_generator_pass.py' 2025-06-05T23:20:10.7734645Z adding 'executorch/exir/passes/dim_order_ops_registry.py' 2025-06-05T23:20:10.7735096Z adding 'executorch/exir/passes/dynamic_shape_prop_pass.py' 2025-06-05T23:20:10.7735625Z adding 'executorch/exir/passes/executorch_prim_ops_registry.py' 2025-06-05T23:20:10.7736161Z adding 'executorch/exir/passes/external_constants_pass.py' 2025-06-05T23:20:10.7736602Z adding 'executorch/exir/passes/init_mutable_pass.py' 2025-06-05T23:20:10.7737068Z adding 'executorch/exir/passes/insert_write_back_for_buffers_pass.py' 2025-06-05T23:20:10.7737578Z adding 'executorch/exir/passes/memory_format_ops_pass.py' 2025-06-05T23:20:10.7738049Z adding 'executorch/exir/passes/memory_planning_pass.py' 2025-06-05T23:20:10.7738561Z adding 'executorch/exir/passes/normalize_transpose_pass.py' 2025-06-05T23:20:10.7739168Z adding 'executorch/exir/passes/normalize_view_copy_base_pass.py' 2025-06-05T23:20:10.7739680Z adding 'executorch/exir/passes/pass_registry.py' 2025-06-05T23:20:10.7740107Z adding 'executorch/exir/passes/prune_empty_tensors_pass.py' 2025-06-05T23:20:10.7740532Z adding 'executorch/exir/passes/quant_fusion_pass.py' 2025-06-05T23:20:10.7740939Z adding 'executorch/exir/passes/quantize_io_pass.py' 2025-06-05T23:20:10.7741401Z adding 'executorch/exir/passes/remove_graph_asserts_pass.py' 2025-06-05T23:20:10.7741988Z adding 'executorch/exir/passes/remove_mixed_type_operators.py' 2025-06-05T23:20:10.7742470Z adding 'executorch/exir/passes/remove_noop_pass.py' 2025-06-05T23:20:10.7742930Z adding 'executorch/exir/passes/remove_unused_parameters_pass.py' 2025-06-05T23:20:10.7743535Z adding 'executorch/exir/passes/replace_aten_with_edge_pass.py' 2025-06-05T23:20:10.7744148Z adding 'executorch/exir/passes/replace_broken_ops_with_function_ops_pass.py' 2025-06-05T23:20:10.7744723Z adding 'executorch/exir/passes/replace_edge_with_backend_pass.py' 2025-06-05T23:20:10.7745196Z adding 'executorch/exir/passes/replace_sym_size_op_pass.py' 2025-06-05T23:20:10.7745794Z adding 'executorch/exir/passes/replace_view_copy_with_view_pass.py' 2025-06-05T23:20:10.7746343Z adding 'executorch/exir/passes/scalar_to_tensor_pass.py' 2025-06-05T23:20:10.7746758Z adding 'executorch/exir/passes/spec_prop_pass.py' 2025-06-05T23:20:10.7747163Z adding 'executorch/exir/passes/sym_shape_eval_pass.py' 2025-06-05T23:20:10.7747569Z adding 'executorch/exir/passes/sym_to_tensor_pass.py' 2025-06-05T23:20:10.7748004Z adding 'executorch/exir/passes/weights_to_outputs_pass.py' 2025-06-05T23:20:10.7748508Z adding 'executorch/exir/program/__init__.py' 2025-06-05T23:20:10.7749132Z adding 'executorch/exir/program/_fake_program.py' 2025-06-05T23:20:10.7749507Z adding 'executorch/exir/program/_program.py' 2025-06-05T23:20:10.7749882Z adding 'executorch/exir/program/test/__init__.py' 2025-06-05T23:20:10.7750309Z adding 'executorch/exir/program/test/test_fake_program.py' 2025-06-05T23:20:10.7750738Z adding 'executorch/exir/program/test/test_program.py' 2025-06-05T23:20:10.7751208Z adding 'executorch/exir/serde/__init__.py' 2025-06-05T23:20:10.7751564Z adding 'executorch/exir/serde/export_serialize.py' 2025-06-05T23:20:10.7751991Z adding 'executorch/exir/serde/schema.py' 2025-06-05T23:20:10.7752409Z adding 'executorch/exir/serde/schema_check.py' 2025-06-05T23:20:10.7752776Z adding 'executorch/exir/serde/serialize.py' 2025-06-05T23:20:10.7753103Z adding 'executorch/exir/serde/union.py' 2025-06-05T23:20:10.7753533Z adding 'executorch/exir/tests/asr_joiner.py' 2025-06-05T23:20:10.7753920Z adding 'executorch/exir/tests/common.py' 2025-06-05T23:20:10.7754350Z adding 'executorch/exir/tests/control_flow_models.py' 2025-06-05T23:20:10.7754774Z adding 'executorch/exir/tests/dynamic_shape_models.py' 2025-06-05T23:20:10.7755144Z adding 'executorch/exir/tests/models.py' 2025-06-05T23:20:10.7755541Z adding 'executorch/exir/tests/test_arg_validator.py' 2025-06-05T23:20:10.7755936Z adding 'executorch/exir/tests/test_capture.py' 2025-06-05T23:20:10.7756368Z adding 'executorch/exir/tests/test_common.py' 2025-06-05T23:20:10.7756724Z adding 'executorch/exir/tests/test_delegate.py' 2025-06-05T23:20:10.7757119Z adding 'executorch/exir/tests/test_dim_order_utils.py' 2025-06-05T23:20:10.7757699Z adding 'executorch/exir/tests/test_dynamic_shape_propagation.py' 2025-06-05T23:20:10.7758195Z adding 'executorch/exir/tests/test_error.py' 2025-06-05T23:20:10.7758580Z adding 'executorch/exir/tests/test_joint_graph.py' 2025-06-05T23:20:10.7759002Z adding 'executorch/exir/tests/test_memory_format_ops_pass.py' 2025-06-05T23:20:10.7759508Z adding 'executorch/exir/tests/test_memory_format_ops_pass_aten.py' 2025-06-05T23:20:10.7760129Z adding 'executorch/exir/tests/test_memory_format_ops_pass_utils.py' 2025-06-05T23:20:10.7760678Z adding 'executorch/exir/tests/test_memory_planning.py' 2025-06-05T23:20:10.7761078Z adding 'executorch/exir/tests/test_op_convert.py' 2025-06-05T23:20:10.7761445Z adding 'executorch/exir/tests/test_pass_infra.py' 2025-06-05T23:20:10.7761818Z adding 'executorch/exir/tests/test_passes.py' 2025-06-05T23:20:10.7762191Z adding 'executorch/exir/tests/test_print_program.py' 2025-06-05T23:20:10.7762737Z adding 'executorch/exir/tests/test_prune_empty_tensors_pass.py' 2025-06-05T23:20:10.7763268Z adding 'executorch/exir/tests/test_quant_fusion_pass.py' 2025-06-05T23:20:10.7763684Z adding 'executorch/exir/tests/test_quantization.py' 2025-06-05T23:20:10.7764093Z adding 'executorch/exir/tests/test_quantize_io_pass.py' 2025-06-05T23:20:10.7764582Z adding 'executorch/exir/tests/test_remove_unused_parameters_pass.py' 2025-06-05T23:20:10.7765079Z adding 'executorch/exir/tests/test_remove_view_copy.py' 2025-06-05T23:20:10.7765462Z adding 'executorch/exir/tests/test_serde.py' 2025-06-05T23:20:10.7765874Z adding 'executorch/exir/tests/test_tensor.py' 2025-06-05T23:20:10.7766288Z adding 'executorch/exir/tests/test_tracer.py' 2025-06-05T23:20:10.7766666Z adding 'executorch/exir/tests/test_verification.py' 2025-06-05T23:20:10.7767037Z adding 'executorch/exir/tests/test_warnings.py' 2025-06-05T23:20:10.7767405Z adding 'executorch/exir/tests/transformer.py' 2025-06-05T23:20:10.7767799Z adding 'executorch/exir/verification/arg_validator.py' 2025-06-05T23:20:10.7768191Z adding 'executorch/exir/verification/dev_html.py' 2025-06-05T23:20:10.7768594Z adding 'executorch/exir/verification/interpreter.py' 2025-06-05T23:20:10.7768980Z adding 'executorch/exir/verification/verifier.py' 2025-06-05T23:20:10.7769517Z adding 'executorch/exir/verification/test/test_verifier.py' 2025-06-05T23:20:10.7770145Z adding 'executorch/extension/export_util/__init__.py' 2025-06-05T23:20:10.7770560Z adding 'executorch/extension/export_util/utils.py' 2025-06-05T23:20:10.7770953Z adding 'executorch/extension/flat_tensor/__init__.py' 2025-06-05T23:20:10.7771415Z adding 'executorch/extension/flat_tensor/serialize/__init__.py' 2025-06-05T23:20:10.7771934Z adding 'executorch/extension/flat_tensor/serialize/flat_tensor.fbs' 2025-06-05T23:20:10.7772479Z adding 'executorch/extension/flat_tensor/serialize/flat_tensor_schema.py' 2025-06-05T23:20:10.7773292Z adding 'executorch/extension/flat_tensor/serialize/scalar_type.fbs' 2025-06-05T23:20:10.7773923Z adding 'executorch/extension/flat_tensor/serialize/serialize.py' 2025-06-05T23:20:10.7774523Z adding 'executorch/extension/flat_tensor/test/test_serialize.py' 2025-06-05T23:20:10.7774984Z adding 'executorch/extension/gguf_util/convert_main.py' 2025-06-05T23:20:10.7775552Z adding 'executorch/extension/gguf_util/converter.py' 2025-06-05T23:20:10.7775987Z adding 'executorch/extension/gguf_util/load_gguf.py' 2025-06-05T23:20:10.7776576Z adding 'executorch/extension/gguf_util/converters/llama_converter.py' 2025-06-05T23:20:10.7777128Z adding 'executorch/extension/llm/custom_ops/__init__.py' 2025-06-05T23:20:10.7777565Z adding 'executorch/extension/llm/custom_ops/custom_ops.py' 2025-06-05T23:20:10.7778071Z adding 'executorch/extension/llm/custom_ops/libcustom_ops_aot_lib.so' 2025-06-05T23:20:10.7778579Z adding 'executorch/extension/llm/custom_ops/model_sharding.py' 2025-06-05T23:20:10.7779087Z adding 'executorch/extension/llm/custom_ops/op_tile_crop_aot.py' 2025-06-05T23:20:10.7779613Z adding 'executorch/extension/llm/custom_ops/preprocess_custom_ops.py' 2025-06-05T23:20:10.7780223Z adding 'executorch/extension/llm/custom_ops/test_preprocess_custom_ops.py' 2025-06-05T23:20:10.7780920Z adding 'executorch/extension/llm/custom_ops/test_quantized_sdpa.py' 2025-06-05T23:20:10.7781466Z adding 'executorch/extension/llm/custom_ops/test_sdpa_with_kv_cache.py' 2025-06-05T23:20:10.7782011Z adding 'executorch/extension/llm/custom_ops/test_update_cache.py' 2025-06-05T23:20:10.7782591Z adding 'executorch/extension/llm/custom_ops/spinquant/special_hadamard_code_gen.py' 2025-06-05T23:20:10.7783372Z adding 'executorch/extension/llm/custom_ops/spinquant/third-party/FFHT/example.py' 2025-06-05T23:20:10.7784158Z adding 'executorch/extension/llm/custom_ops/spinquant/third-party/FFHT/gen.py' 2025-06-05T23:20:10.7784678Z adding 'executorch/extension/llm/export/__init__.py' 2025-06-05T23:20:10.7785075Z adding 'executorch/extension/llm/export/builder.py' 2025-06-05T23:20:10.7785489Z adding 'executorch/extension/llm/export/export_passes.py' 2025-06-05T23:20:10.7785946Z adding 'executorch/extension/llm/export/partitioner_lib.py' 2025-06-05T23:20:10.7786391Z adding 'executorch/extension/llm/export/quantizer_lib.py' 2025-06-05T23:20:10.7786867Z adding 'executorch/extension/llm/export/test_export_passes.py' 2025-06-05T23:20:10.7787331Z adding 'executorch/extension/llm/export/test/__init__.py' 2025-06-05T23:20:10.7787784Z adding 'executorch/extension/llm/export/test/test_builder.py' 2025-06-05T23:20:10.7788351Z adding 'executorch/extension/llm/modules/__init__.py' 2025-06-05T23:20:10.7788626Z adding 'executorch/extension/llm/modules/_position_embeddings.py' 2025-06-05T23:20:10.7788785Z adding 'executorch/extension/llm/modules/attention.py' 2025-06-05T23:20:10.7788948Z adding 'executorch/extension/llm/modules/kv_cache.py' 2025-06-05T23:20:10.7789115Z adding 'executorch/extension/llm/modules/test/__init__.py' 2025-06-05T23:20:10.7789314Z adding 'executorch/extension/llm/modules/test/test_attention.py' 2025-06-05T23:20:10.7789516Z adding 'executorch/extension/llm/modules/test/test_kv_cache.py' 2025-06-05T23:20:10.7789758Z adding 'executorch/extension/llm/modules/test/test_position_embeddings.py' 2025-06-05T23:20:10.7789917Z adding 'executorch/extension/llm/tokenizers/setup.py' 2025-06-05T23:20:10.7790216Z adding 'executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/__init__.py' 2025-06-05T23:20:11.3609765Z adding 'executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/constants.py' 2025-06-05T23:20:11.3611218Z adding 'executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/hf_tokenizer.py' 2025-06-05T23:20:11.3612575Z adding 'executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/llama2c.py' 2025-06-05T23:20:11.3613895Z adding 'executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/tiktoken.py' 2025-06-05T23:20:11.3615293Z adding 'executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/tools/__init__.py' 2025-06-05T23:20:11.3616764Z adding 'executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/tools/llama2c/__init__.py' 2025-06-05T23:20:11.3618305Z adding 'executorch/extension/llm/tokenizers/build/lib/pytorch_tokenizers/tools/llama2c/convert.py' 2025-06-05T23:20:11.3619886Z adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/__init__.py' 2025-06-05T23:20:11.3621037Z adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/constants.py' 2025-06-05T23:20:11.3622184Z adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/hf_tokenizer.py' 2025-06-05T23:20:11.3623301Z adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/llama2c.py' 2025-06-05T23:20:11.3624425Z adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/tiktoken.py' 2025-06-05T23:20:11.3625509Z adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/__init__.py' 2025-06-05T23:20:11.3626770Z adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c/__init__.py' 2025-06-05T23:20:11.3628080Z adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c/convert.py' 2025-06-05T23:20:11.3629258Z adding 'executorch/extension/llm/tokenizers/test/test_tiktoken.py' 2025-06-05T23:20:11.3630375Z adding 'executorch/extension/llm/tokenizers/third-party/abseil-cpp/conanfile.py' 2025-06-05T23:20:11.3631685Z adding 'executorch/extension/llm/tokenizers/third-party/abseil-cpp/create_lts.py' 2025-06-05T23:20:11.3633054Z adding 'executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/abseil.podspec.gen.py' 2025-06-05T23:20:11.3634440Z adding 'executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/copts/copts.py' 2025-06-05T23:20:11.3635852Z adding 'executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/copts/generate_copts.py' 2025-06-05T23:20:11.3637410Z adding 'executorch/extension/llm/tokenizers/third-party/json/docs/mkdocs/scripts/check_structure.py' 2025-06-05T23:20:11.3638963Z adding 'executorch/extension/llm/tokenizers/third-party/json/tests/thirdparty/imapdl/filterbr.py' 2025-06-05T23:20:11.3640459Z adding 'executorch/extension/llm/tokenizers/third-party/json/tools/amalgamate/amalgamate.py' 2025-06-05T23:20:11.3641980Z adding 'executorch/extension/llm/tokenizers/third-party/json/tools/gdb_pretty_printer/nlohmann-json.py' 2025-06-05T23:20:11.3643646Z adding 'executorch/extension/llm/tokenizers/third-party/json/tools/generate_natvis/generate_natvis.py' 2025-06-05T23:20:11.3645218Z adding 'executorch/extension/llm/tokenizers/third-party/json/tools/serve_header/serve_header.py' 2025-06-05T23:20:11.3646628Z adding 'executorch/extension/llm/tokenizers/third-party/pcre2/maint/GenerateCommon.py' 2025-06-05T23:20:11.3647943Z adding 'executorch/extension/llm/tokenizers/third-party/pcre2/maint/GenerateTest.py' 2025-06-05T23:20:11.3649202Z adding 'executorch/extension/llm/tokenizers/third-party/pcre2/maint/GenerateUcd.py' 2025-06-05T23:20:11.3650542Z adding 'executorch/extension/llm/tokenizers/third-party/pcre2/maint/GenerateUcpHeader.py' 2025-06-05T23:20:11.3651964Z adding 'executorch/extension/llm/tokenizers/third-party/pcre2/maint/GenerateUcpTables.py' 2025-06-05T23:20:11.3653305Z adding 'executorch/extension/llm/tokenizers/third-party/pcre2/maint/UpdateCommon.py' 2025-06-05T23:20:11.3654612Z adding 'executorch/extension/llm/tokenizers/third-party/pcre2/maint/UpdateDates.py' 2025-06-05T23:20:11.3656085Z adding 'executorch/extension/llm/tokenizers/third-party/pcre2/maint/UpdateRelease.py' 2025-06-05T23:20:11.3657390Z adding 'executorch/extension/llm/tokenizers/third-party/re2/benchlog/benchplot.py' 2025-06-05T23:20:11.3658582Z adding 'executorch/extension/llm/tokenizers/third-party/re2/python/re2.py' 2025-06-05T23:20:11.3659704Z adding 'executorch/extension/llm/tokenizers/third-party/re2/python/re2_test.py' 2025-06-05T23:20:11.3660851Z adding 'executorch/extension/llm/tokenizers/third-party/re2/python/setup.py' 2025-06-05T23:20:11.3662144Z adding 'executorch/extension/llm/tokenizers/third-party/re2/python/toolchains/generate.py' 2025-06-05T23:20:11.3663561Z adding 'executorch/extension/llm/tokenizers/third-party/re2/re2/make_unicode_casefold.py' 2025-06-05T23:20:11.3664858Z adding 'executorch/extension/llm/tokenizers/third-party/re2/re2/make_unicode_groups.py' 2025-06-05T23:20:11.3666244Z adding 'executorch/extension/llm/tokenizers/third-party/re2/re2/unicode.py' 2025-06-05T23:20:11.3667466Z adding 'executorch/extension/llm/tokenizers/third-party/sentencepiece/python/setup.py' 2025-06-05T23:20:11.3668970Z adding 'executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece/__init__.py' 2025-06-05T23:20:11.3670722Z adding 'executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece/_version.py' 2025-06-05T23:20:11.3672887Z adding 'executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece/sentencepiece_model_pb2.py' 2025-06-05T23:20:11.3674871Z adding 'executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece/sentencepiece_pb2.py' 2025-06-05T23:20:11.3676639Z adding 'executorch/extension/llm/tokenizers/third-party/sentencepiece/python/test/__init__.py' 2025-06-05T23:20:11.3678236Z adding 'executorch/extension/llm/tokenizers/third-party/sentencepiece/python/test/sentencepiece_test.py' 2025-06-05T23:20:11.3679648Z adding 'executorch/extension/module/test/resources/gen_bundled_program.py' 2025-06-05T23:20:11.3680813Z adding 'executorch/extension/pybindings/_portable_lib.cpython-310-x86_64-linux-gnu.so' 2025-06-05T23:20:11.3681811Z adding 'executorch/extension/pybindings/portable_lib.py' 2025-06-05T23:20:11.3682611Z adding 'executorch/extension/pybindings/pybindings.pyi' 2025-06-05T23:20:11.3683385Z adding 'executorch/extension/pybindings/test/make_test.py' 2025-06-05T23:20:11.3684333Z adding 'executorch/extension/pybindings/test/test_backend_pybinding.py' 2025-06-05T23:20:11.3685328Z adding 'executorch/extension/pybindings/test/test_pybindings.py' 2025-06-05T23:20:11.3686126Z adding 'executorch/extension/pytree/__init__.py' 2025-06-05T23:20:11.3686790Z adding 'executorch/extension/pytree/test/test.py' 2025-06-05T23:20:11.3687460Z adding 'executorch/extension/training/__init__.py' 2025-06-05T23:20:11.3688301Z adding 'executorch/extension/training/examples/XOR/export_model.py' 2025-06-05T23:20:11.3689242Z adding 'executorch/extension/training/examples/XOR/model.py' 2025-06-05T23:20:11.3690185Z adding 'executorch/extension/training/examples/XOR/test/test_export.py' 2025-06-05T23:20:11.3691190Z adding 'executorch/extension/training/pybindings/_training_lib.pyi' 2025-06-05T23:20:11.3692167Z adding 'executorch/extension/training/pybindings/_training_module.py' 2025-06-05T23:20:11.3693132Z adding 'executorch/extension/training/pybindings/test/test.py' 2025-06-05T23:20:11.3694279Z adding 'executorch/include/executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h' 2025-06-05T23:20:11.3695597Z adding 'executorch/include/executorch/extension/kernel_util/meta_programming.h' 2025-06-05T23:20:11.3696759Z adding 'executorch/include/executorch/extension/kernel_util/type_list.h' 2025-06-05T23:20:11.3697776Z adding 'executorch/include/executorch/extension/tensor/tensor.h' 2025-06-05T23:20:11.3698773Z adding 'executorch/include/executorch/extension/tensor/tensor_accessor.h' 2025-06-05T23:20:11.3699804Z adding 'executorch/include/executorch/extension/tensor/tensor_ptr.h' 2025-06-05T23:20:11.3701137Z adding 'executorch/include/executorch/extension/tensor/tensor_ptr_maker.h' 2025-06-05T23:20:11.3702307Z adding 'executorch/include/executorch/extension/threadpool/cpuinfo_utils.h' 2025-06-05T23:20:11.3703439Z adding 'executorch/include/executorch/extension/threadpool/threadpool.h' 2025-06-05T23:20:11.3704614Z adding 'executorch/include/executorch/extension/threadpool/threadpool_guard.h' 2025-06-05T23:20:11.3705623Z adding 'executorch/include/executorch/runtime/core/array_ref.h' 2025-06-05T23:20:11.3706516Z adding 'executorch/include/executorch/runtime/core/data_loader.h' 2025-06-05T23:20:11.3707403Z adding 'executorch/include/executorch/runtime/core/defines.h' 2025-06-05T23:20:11.3708224Z adding 'executorch/include/executorch/runtime/core/error.h' 2025-06-05T23:20:11.3709283Z adding 'executorch/include/executorch/runtime/core/evalue.h' 2025-06-05T23:20:11.3710158Z adding 'executorch/include/executorch/runtime/core/event_tracer.h' 2025-06-05T23:20:11.3711231Z adding 'executorch/include/executorch/runtime/core/event_tracer_hooks.h' 2025-06-05T23:20:11.3712380Z adding 'executorch/include/executorch/runtime/core/event_tracer_hooks_delegate.h' 2025-06-05T23:20:11.3713487Z adding 'executorch/include/executorch/runtime/core/freeable_buffer.h' 2025-06-05T23:20:11.3714447Z adding 'executorch/include/executorch/runtime/core/function_ref.h' 2025-06-05T23:20:11.3715523Z adding 'executorch/include/executorch/runtime/core/hierarchical_allocator.h' 2025-06-05T23:20:11.3716648Z adding 'executorch/include/executorch/runtime/core/memory_allocator.h' 2025-06-05T23:20:11.3717660Z adding 'executorch/include/executorch/runtime/core/named_data_map.h' 2025-06-05T23:20:11.3718592Z adding 'executorch/include/executorch/runtime/core/result.h' 2025-06-05T23:20:11.3719433Z adding 'executorch/include/executorch/runtime/core/span.h' 2025-06-05T23:20:11.3725449Z adding 'executorch/include/executorch/runtime/core/tag.h' 2025-06-05T23:20:11.3726342Z adding 'executorch/include/executorch/runtime/core/tensor_layout.h' 2025-06-05T23:20:11.3727364Z adding 'executorch/include/executorch/runtime/core/tensor_shape_dynamism.h' 2025-06-05T23:20:11.3728454Z adding 'executorch/include/executorch/runtime/core/exec_aten/exec_aten.h' 2025-06-05T23:20:11.3729655Z adding 'executorch/include/executorch/runtime/core/exec_aten/testing_util/tensor_factory.h' 2025-06-05T23:20:11.3731015Z adding 'executorch/include/executorch/runtime/core/exec_aten/testing_util/tensor_util.h' 2025-06-05T23:20:11.3732312Z adding 'executorch/include/executorch/runtime/core/exec_aten/util/dim_order_util.h' 2025-06-05T23:20:11.3733584Z adding 'executorch/include/executorch/runtime/core/exec_aten/util/scalar_type_util.h' 2025-06-05T23:20:12.5702933Z adding 'executorch/include/executorch/runtime/core/exec_aten/util/tensor_dimension_limit.h' 2025-06-05T23:20:12.5704172Z adding 'executorch/include/executorch/runtime/core/exec_aten/util/tensor_shape_to_c_string.h' 2025-06-05T23:20:12.5704937Z adding 'executorch/include/executorch/runtime/core/exec_aten/util/tensor_util.h' 2025-06-05T23:20:12.5705593Z adding 'executorch/include/executorch/runtime/core/portable_type/bfloat16.h' 2025-06-05T23:20:12.5706248Z adding 'executorch/include/executorch/runtime/core/portable_type/bfloat16_math.h' 2025-06-05T23:20:12.5706901Z adding 'executorch/include/executorch/runtime/core/portable_type/bits_types.h' 2025-06-05T23:20:12.5707541Z adding 'executorch/include/executorch/runtime/core/portable_type/complex.h' 2025-06-05T23:20:12.5708145Z adding 'executorch/include/executorch/runtime/core/portable_type/device.h' 2025-06-05T23:20:12.5708743Z adding 'executorch/include/executorch/runtime/core/portable_type/half.h' 2025-06-05T23:20:12.5709344Z adding 'executorch/include/executorch/runtime/core/portable_type/optional.h' 2025-06-05T23:20:12.5709984Z adding 'executorch/include/executorch/runtime/core/portable_type/qint_types.h' 2025-06-05T23:20:12.5710933Z adding 'executorch/include/executorch/runtime/core/portable_type/scalar.h' 2025-06-05T23:20:12.5711570Z adding 'executorch/include/executorch/runtime/core/portable_type/scalar_type.h' 2025-06-05T23:20:12.5712229Z adding 'executorch/include/executorch/runtime/core/portable_type/string_view.h' 2025-06-05T23:20:12.5712851Z adding 'executorch/include/executorch/runtime/core/portable_type/tensor.h' 2025-06-05T23:20:12.5713484Z adding 'executorch/include/executorch/runtime/core/portable_type/tensor_impl.h' 2025-06-05T23:20:12.5714160Z adding 'executorch/include/executorch/runtime/core/portable_type/tensor_options.h' 2025-06-05T23:20:12.5714873Z adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/macros/Export.h' 2025-06-05T23:20:12.5715618Z adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/macros/Macros.h' 2025-06-05T23:20:12.5716424Z adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/BFloat16-inl.h' 2025-06-05T23:20:12.5717214Z adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/BFloat16-math.h' 2025-06-05T23:20:12.5718027Z adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h' 2025-06-05T23:20:12.5718756Z adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h' 2025-06-05T23:20:12.5719477Z adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/Half.h' 2025-06-05T23:20:12.5720256Z adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/TypeSafeSignMath.h' 2025-06-05T23:20:12.5721030Z adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/bit_cast.h' 2025-06-05T23:20:12.5721767Z adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/complex.h' 2025-06-05T23:20:12.5722507Z adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/complex_math.h' 2025-06-05T23:20:12.5723385Z adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/complex_utils.h' 2025-06-05T23:20:12.5724217Z adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/floating_point_utils.h' 2025-06-05T23:20:12.5725004Z adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/irange.h' 2025-06-05T23:20:12.5725667Z adding 'executorch/include/executorch/runtime/kernel/kernel_includes.h' 2025-06-05T23:20:12.5726273Z adding 'executorch/include/executorch/runtime/kernel/kernel_runtime_context.h' 2025-06-05T23:20:12.5726898Z adding 'executorch/include/executorch/runtime/kernel/operator_registry.h' 2025-06-05T23:20:12.5727528Z adding 'executorch/include/executorch/runtime/kernel/thread_parallel_interface.h' 2025-06-05T23:20:12.5728151Z adding 'executorch/include/executorch/runtime/kernel/test/test_util.h' 2025-06-05T23:20:12.5728687Z adding 'executorch/include/executorch/runtime/platform/abort.h' 2025-06-05T23:20:12.5729190Z adding 'executorch/include/executorch/runtime/platform/assert.h' 2025-06-05T23:20:12.5729705Z adding 'executorch/include/executorch/runtime/platform/clock.h' 2025-06-05T23:20:12.5730238Z adding 'executorch/include/executorch/runtime/platform/compat_unistd.h' 2025-06-05T23:20:12.5730801Z adding 'executorch/include/executorch/runtime/platform/compiler.h' 2025-06-05T23:20:12.5731299Z adding 'executorch/include/executorch/runtime/platform/log.h' 2025-06-05T23:20:12.5731811Z adding 'executorch/include/executorch/runtime/platform/platform.h' 2025-06-05T23:20:12.5732351Z adding 'executorch/include/executorch/runtime/platform/profiler.h' 2025-06-05T23:20:12.5732867Z adding 'executorch/include/executorch/runtime/platform/runtime.h' 2025-06-05T23:20:12.5745032Z adding 'executorch/include/executorch/runtime/platform/system.h' 2025-06-05T23:20:12.5745568Z adding 'executorch/include/executorch/runtime/platform/types.h' 2025-06-05T23:20:12.5746134Z adding 'executorch/include/executorch/runtime/platform/test/pal_spy.h' 2025-06-05T23:20:12.5746748Z adding 'executorch/include/executorch/runtime/platform/test/stub_platform.h' 2025-06-05T23:20:12.5747388Z adding 'executorch/kernels/quantized/__init__.py' 2025-06-05T23:20:12.5747853Z adding 'executorch/kernels/quantized/libquantized_ops_aot_lib.so' 2025-06-05T23:20:12.5748316Z adding 'executorch/kernels/quantized/quantized.yaml' 2025-06-05T23:20:12.5748808Z adding 'executorch/kernels/quantized/test/supported_features_def.yaml' 2025-06-05T23:20:12.5749332Z adding 'executorch/kernels/quantized/test/test_out_variants.py' 2025-06-05T23:20:12.5749886Z adding 'executorch/kernels/quantized/test/test_quant_dequant_per_token.py' 2025-06-05T23:20:12.5750362Z adding 'executorch/runtime/__init__.py' 2025-06-05T23:20:12.5750730Z adding 'executorch/runtime/kernel/test/functions.yaml' 2025-06-05T23:20:12.5751223Z adding 'executorch/runtime/test/test_runtime.py' 2025-06-05T23:20:12.5751621Z adding 'executorch/schema/program.fbs' 2025-06-05T23:20:12.5751962Z adding 'executorch/schema/scalar_type.fbs' 2025-06-05T23:20:12.5752352Z adding 'executorch/share/cmake/executorch-config.cmake' 2025-06-05T23:20:12.5752796Z adding 'executorch/util/activation_memory_profiler.py' 2025-06-05T23:20:12.5753164Z adding 'executorch/util/collect_env.py' 2025-06-05T23:20:12.5753508Z adding 'executorch/util/python_profiler.py' 2025-06-05T23:20:12.5753935Z adding 'executorch-0.7.0a0+bd57234.dist-info/licenses/LICENSE' 2025-06-05T23:20:12.5754386Z adding 'executorch-0.7.0a0+bd57234.dist-info/METADATA' 2025-06-05T23:20:12.5754800Z adding 'executorch-0.7.0a0+bd57234.dist-info/WHEEL' 2025-06-05T23:20:12.5755234Z adding 'executorch-0.7.0a0+bd57234.dist-info/entry_points.txt' 2025-06-05T23:20:12.5755720Z adding 'executorch-0.7.0a0+bd57234.dist-info/top_level.txt' 2025-06-05T23:20:12.5756146Z adding 'executorch-0.7.0a0+bd57234.dist-info/RECORD' 2025-06-05T23:20:12.5756524Z removing pip-out/bdist.linux-x86_64/wheel 2025-06-05T23:20:12.5757227Z Building wheel for executorch (pyproject.toml) ... [?25l[?25hdone 2025-06-05T23:20:12.5758295Z Created wheel for executorch: filename=executorch-0.7.0a0+bd57234-cp310-cp310-linux_x86_64.whl size=9987128 sha256=c4faccbaaa6c47b306876339246f281ca8ecad8aed5ca45eaf077560b2c766e5 2025-06-05T23:20:12.5759571Z Stored in directory: /tmp/pip-ephem-wheel-cache-6zmdnwo1/wheels/9e/f0/2b/6a778c77421b91e006bef425e288a1e5c7c35b04c51317756b 2025-06-05T23:20:12.5760249Z Successfully built executorch 2025-06-05T23:20:12.5760998Z Installing collected packages: flatbuffers, tabulate, pyaml, protobuf, execnet, pytest, cattrs, pytest-xdist, pytest-rerunfailures, coremltools, executorch 2025-06-05T23:20:12.5761784Z [?25l 2025-06-05T23:20:12.5762134Z  changing mode of /opt/conda/envs/py_3.10/bin/tabulate to 755 2025-06-05T23:20:12.5762420Z 2025-06-05T23:20:12.5762667Z  changing mode of /opt/conda/envs/py_3.10/bin/pyaml to 755 2025-06-05T23:20:12.5762946Z 2025-06-05T23:20:12.5763294Z  ━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  3/11 [protobuf] 2025-06-05T23:20:12.5763767Z  Attempting uninstall: pytest 2025-06-05T23:20:12.5764267Z ━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  3/11 [protobuf] 2025-06-05T23:20:12.5764758Z  Found existing installation: pytest 7.2.0 2025-06-05T23:20:12.5765294Z ━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  3/11 [protobuf] 2025-06-05T23:20:12.5765732Z  Uninstalling pytest-7.2.0: 2025-06-05T23:20:12.5766225Z ━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  3/11 [protobuf] 2025-06-05T23:20:12.5766809Z  ━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━  5/11 [pytest] 2025-06-05T23:20:12.5767373Z  Removing file or directory /opt/conda/envs/py_3.10/bin/py.test 2025-06-05T23:20:12.5767953Z ━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━  5/11 [pytest] 2025-06-05T23:20:12.5768552Z  Removing file or directory /opt/conda/envs/py_3.10/bin/pytest 2025-06-05T23:20:12.5769224Z ━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━  5/11 [pytest] 2025-06-05T23:20:12.5770009Z  Removing file or directory /opt/conda/envs/py_3.10/lib/python3.10/site-packages/__pycache__/py.cpython-310.pyc 2025-06-05T23:20:12.5770798Z ━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━  5/11 [pytest] 2025-06-05T23:20:12.5771373Z  ━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━  5/11 [pytest] 2025-06-05T23:20:12.5772060Z  Removing file or directory /opt/conda/envs/py_3.10/lib/python3.10/site-packages/_pytest/ 2025-06-05T23:20:12.5772958Z ━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━  5/11 [pytest] 2025-06-05T23:20:17.1294239Z  Removing file or directory /opt/conda/envs/py_3.10/lib/python3.10/site-packages/py.py 2025-06-05T23:20:17.1295478Z ━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━  5/11 [pytest] 2025-06-05T23:20:17.1296320Z  Removing file or directory /opt/conda/envs/py_3.10/lib/python3.10/site-packages/pytest-7.2.0.dist-info/ 2025-06-05T23:20:17.1297086Z ━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━  5/11 [pytest] 2025-06-05T23:20:17.1297892Z  Removing file or directory /opt/conda/envs/py_3.10/lib/python3.10/site-packages/pytest/ 2025-06-05T23:20:17.1298605Z ━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━  5/11 [pytest] 2025-06-05T23:20:17.1299100Z  Successfully uninstalled pytest-7.2.0 2025-06-05T23:20:17.1299625Z ━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━  5/11 [pytest] 2025-06-05T23:20:17.1300352Z  ━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━  5/11 [pytest] 2025-06-05T23:20:17.1301136Z  changing mode of /opt/conda/envs/py_3.10/bin/py.test to 755 2025-06-05T23:20:17.1301956Z ━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━  5/11 [pytest] 2025-06-05T23:20:17.1302724Z  changing mode of /opt/conda/envs/py_3.10/bin/pytest to 755 2025-06-05T23:20:17.1303385Z ━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━  5/11 [pytest] 2025-06-05T23:20:17.1304142Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━  9/11 [coremltools] 2025-06-05T23:20:17.1304885Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━  9/11 [coremltools] 2025-06-05T23:20:17.1305543Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━  9/11 [coremltools] 2025-06-05T23:20:17.1306478Z  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2025-06-05T23:20:17.1324660Z Successfully installed cattrs-25.1.1 coremltools-8.3.0 execnet-2.1.1 executorch-0.7.0a0+bd57234 flatbuffers-25.2.10 protobuf-6.31.1 pyaml-25.5.0 pytest-8.4.0 pytest-rerunfailures-15.1 pytest-xdist-3.7.0 tabulate-0.9.0 2025-06-05T23:20:17.1325775Z + pip list 2025-06-05T23:20:17.1326069Z Package Version Build Editable project location 2025-06-05T23:20:17.1326980Z ----------------------------- ------------------ ----- ----------------------------------- 2025-06-05T23:20:17.1327393Z aiohappyeyeballs 2.6.1 2025-06-05T23:20:17.1327734Z aiohttp 3.12.9 2025-06-05T23:20:17.1328083Z aiosignal 1.3.2 2025-06-05T23:20:17.1328372Z alabaster 0.7.16 2025-06-05T23:20:17.1328669Z antlr4-python3-runtime 4.9.3 2025-06-05T23:20:17.1328949Z async-timeout 5.0.1 2025-06-05T23:20:17.1329285Z attrs 25.3.0 2025-06-05T23:20:17.1329618Z babel 2.17.0 2025-06-05T23:20:17.1329905Z beautifulsoup4 4.13.4 2025-06-05T23:20:17.1330175Z blobfile 3.0.0 2025-06-05T23:20:17.1330705Z breathe 4.34.0 2025-06-05T23:20:17.1330996Z bs4 0.0.2 2025-06-05T23:20:17.1331427Z cattrs 25.1.1 2025-06-05T23:20:17.1331745Z certifi 2025.4.26 2025-06-05T23:20:17.1332279Z charset-normalizer 3.4.2 2025-06-05T23:20:17.1332653Z cmake 3.31.6 2025-06-05T23:20:17.1333218Z contourpy 1.3.2 2025-06-05T23:20:17.1333546Z coremltools 8.3.0 2025-06-05T23:20:17.1333816Z coverage 7.8.2 2025-06-05T23:20:17.1334090Z cycler 0.12.1 2025-06-05T23:20:17.1334354Z datasets 3.6.0 2025-06-05T23:20:17.1334631Z dill 0.3.8 2025-06-05T23:20:17.1334923Z docutils 0.16 2025-06-05T23:20:17.1335280Z exceptiongroup 1.3.0 2025-06-05T23:20:17.1335547Z execnet 2.1.1 2025-06-05T23:20:17.1335846Z executorch 0.7.0a0+bd57234 2025-06-05T23:20:17.1336160Z exhale 0.2.3 2025-06-05T23:20:17.1336487Z expecttest 0.1.6 2025-06-05T23:20:17.1336779Z filelock 3.18.0 2025-06-05T23:20:17.1337211Z flatbuffers 25.2.10 2025-06-05T23:20:17.1337653Z fonttools 4.58.1 2025-06-05T23:20:17.1338016Z frozenlist 1.6.2 2025-06-05T23:20:17.1338470Z fsspec 2025.3.0 2025-06-05T23:20:17.1338750Z hf_transfer 0.1.9 2025-06-05T23:20:17.1339031Z hf-xet 1.1.3 2025-06-05T23:20:17.1339383Z huggingface-hub 0.32.4 2025-06-05T23:20:17.1339660Z hypothesis 6.84.2 2025-06-05T23:20:17.1339938Z idna 3.10 2025-06-05T23:20:17.1340206Z imagesize 1.4.1 2025-06-05T23:20:17.1340546Z iniconfig 2.1.0 2025-06-05T23:20:17.1340836Z Jinja2 3.1.6 2025-06-05T23:20:17.1341174Z kagglehub 0.3.12 2025-06-05T23:20:17.1341458Z kiwisolver 1.4.8 2025-06-05T23:20:17.1341833Z lxml 5.4.0 2025-06-05T23:20:18.2358302Z markdown-it-py 2.2.0 2025-06-05T23:20:18.2359222Z MarkupSafe 3.0.2 2025-06-05T23:20:18.2359740Z matplotlib 3.10.3 2025-06-05T23:20:18.2360028Z mdit-py-plugins 0.3.5 2025-06-05T23:20:18.2360330Z mdurl 0.1.2 2025-06-05T23:20:18.2360599Z mpmath 1.3.0 2025-06-05T23:20:18.2360871Z multidict 6.4.4 2025-06-05T23:20:18.2361155Z multiprocess 0.70.16 2025-06-05T23:20:18.2361435Z myst-parser 0.18.1 2025-06-05T23:20:18.2361719Z networkx 3.4.2 2025-06-05T23:20:18.2361982Z numpy 2.2.6 2025-06-05T23:20:18.2362265Z nvidia-cublas-cu12 12.1.3.1 2025-06-05T23:20:18.2362564Z nvidia-cuda-cupti-cu12 12.1.105 2025-06-05T23:20:18.2362874Z nvidia-cuda-nvrtc-cu12 12.1.105 2025-06-05T23:20:18.2363186Z nvidia-cuda-runtime-cu12 12.1.105 2025-06-05T23:20:18.2363476Z nvidia-cudnn-cu12 9.1.0.70 2025-06-05T23:20:18.2363780Z nvidia-cufft-cu12 11.0.2.54 2025-06-05T23:20:18.2364075Z nvidia-curand-cu12 10.3.2.106 2025-06-05T23:20:18.2364396Z nvidia-cusolver-cu12 11.4.5.107 2025-06-05T23:20:18.2364704Z nvidia-cusparse-cu12 12.1.0.106 2025-06-05T23:20:18.2365011Z nvidia-nccl-cu12 2.20.5 2025-06-05T23:20:18.2365296Z nvidia-nvjitlink-cu12 12.9.41 2025-06-05T23:20:18.2365601Z nvidia-nvtx-cu12 12.1.105 2025-06-05T23:20:18.2365878Z omegaconf 2.3.0 2025-06-05T23:20:18.2366162Z packaging 25.0 2025-06-05T23:20:18.2366444Z pandas 2.2.3 2025-06-05T23:20:18.2366717Z parameterized 0.9.0 2025-06-05T23:20:18.2367006Z pillow 11.2.1 2025-06-05T23:20:18.2367272Z pip 25.1 2025-06-05T23:20:18.2367543Z pluggy 1.6.0 2025-06-05T23:20:18.2367807Z propcache 0.3.1 2025-06-05T23:20:18.2368085Z protobuf 6.31.1 2025-06-05T23:20:18.2368352Z psutil 7.0.0 2025-06-05T23:20:18.2368732Z pyaml 25.5.0 2025-06-05T23:20:18.2369020Z pyarrow 20.0.0 2025-06-05T23:20:18.2369293Z pycryptodomex 3.23.0 2025-06-05T23:20:18.2369579Z Pygments 2.19.1 2025-06-05T23:20:18.2369850Z pyparsing 3.2.3 2025-06-05T23:20:18.2370134Z pytest 8.4.0 2025-06-05T23:20:18.2370400Z pytest-cov 4.1.0 2025-06-05T23:20:18.2370688Z pytest-rerunfailures 15.1 2025-06-05T23:20:18.2370968Z pytest-xdist 3.7.0 2025-06-05T23:20:18.2371266Z python-dateutil 2.9.0.post0 2025-06-05T23:20:18.2371698Z pytorch_sphinx_theme 0.0.24 /opt/conda/src/pytorch-sphinx-theme 2025-06-05T23:20:18.2372142Z pytorch_tokenizers 0.1.0 2025-06-05T23:20:18.2372427Z pytz 2025.2 2025-06-05T23:20:18.2372883Z PyYAML 6.0.1 2025-06-05T23:20:18.2373167Z regex 2024.11.6 2025-06-05T23:20:18.2373449Z requests 2.32.3 2025-06-05T23:20:18.2373879Z ruamel.yaml 0.17.32 2025-06-05T23:20:18.2374161Z ruamel.yaml.clib 0.2.12 2025-06-05T23:20:18.2374449Z safetensors 0.5.3 2025-06-05T23:20:18.2374720Z sentencepiece 0.2.0 2025-06-05T23:20:18.2375004Z setuptools 78.1.1 2025-06-05T23:20:18.2375282Z six 1.17.0 2025-06-05T23:20:18.2375546Z snowballstemmer 3.0.1 2025-06-05T23:20:18.2375836Z sortedcontainers 2.4.0 2025-06-05T23:20:18.2376108Z soupsieve 2.7 2025-06-05T23:20:18.2376387Z Sphinx 5.3.0 2025-06-05T23:20:18.2376657Z sphinx-copybutton 0.5.0 2025-06-05T23:20:18.2376943Z sphinx_design 0.4.1 2025-06-05T23:20:18.2377213Z sphinx-gallery 0.14.0 2025-06-05T23:20:18.2377553Z sphinx_reredirects 0.1.4 2025-06-05T23:20:18.2377839Z sphinxcontrib-applehelp 2.0.0 2025-06-05T23:20:18.2378149Z sphinxcontrib-devhelp 2.0.0 2025-06-05T23:20:18.2378453Z sphinxcontrib-htmlhelp 2.1.0 2025-06-05T23:20:18.2378740Z sphinxcontrib-jsmath 1.0.1 2025-06-05T23:20:18.2379040Z sphinxcontrib-qthelp 2.0.0 2025-06-05T23:20:18.2379336Z sphinxcontrib-serializinghtml 2.0.0 2025-06-05T23:20:18.2379632Z sympy 1.14.0 2025-06-05T23:20:18.2379894Z tabulate 0.9.0 2025-06-05T23:20:18.2380164Z tiktoken 0.9.0 2025-06-05T23:20:18.2380419Z timm 1.0.7 2025-06-05T23:20:18.2380756Z tokenizers 0.21.1 2025-06-05T23:20:18.2381140Z tomli 2.0.1 2025-06-05T23:20:18.2381638Z torch 2.8.0a0+git5616fa4 2025-06-05T23:20:18.2382152Z torchao 0.12.0+gitbc68b11 2025-06-05T23:20:18.2382483Z torchaudio 2.6.0a0+1a8f621 2025-06-05T23:20:18.2382803Z torchdata 0.11.0 2025-06-05T23:20:18.2383075Z torchsr 1.0.4 2025-06-05T23:20:18.2383354Z torchtune 0.6.1 2025-06-05T23:20:18.2383640Z torchvision 0.22.0a0+966da7e 2025-06-05T23:20:18.2383951Z tqdm 4.67.1 2025-06-05T23:20:18.2384217Z transformers 4.47.1 2025-06-05T23:20:18.2384517Z triton 3.0.0 1 2025-06-05T23:20:18.2384839Z typing_extensions 4.14.0 2025-06-05T23:20:18.2385110Z tzdata 2025.2 2025-06-05T23:20:18.2385383Z urllib3 2.4.0 2025-06-05T23:20:18.2385642Z wheel 0.45.1 2025-06-05T23:20:18.2385913Z xxhash 3.5.0 2025-06-05T23:20:18.2386170Z yarl 1.20.0 2025-06-05T23:20:18.2386443Z zstd 1.5.5.1 2025-06-05T23:20:18.2386730Z + build_executorch_runner cmake Release 2025-06-05T23:20:18.2387032Z + [[ cmake == \b\u\c\k\2 ]] 2025-06-05T23:20:18.2387391Z + [[ cmake == \c\m\a\k\e ]] 2025-06-05T23:20:18.2387658Z + build_executorch_runner_cmake Release 2025-06-05T23:20:18.2387972Z + CMAKE_OUTPUT_DIR=cmake-out 2025-06-05T23:20:18.2388240Z + clean_executorch_install_folders 2025-06-05T23:20:18.2388550Z + ./install_executorch.sh --clean 2025-06-05T23:20:18.2388829Z Cleaning build artifacts... 2025-06-05T23:20:18.2389097Z Cleaning pip-out/... 2025-06-05T23:20:18.2389328Z Cleaning cmake-out/... 2025-06-05T23:20:18.2389584Z Done cleaning build artifacts. 2025-06-05T23:20:18.2389838Z + mkdir cmake-out 2025-06-05T23:20:18.2390065Z + pushd cmake-out 2025-06-05T23:20:18.2390325Z /pytorch/executorch/cmake-out /pytorch/executorch 2025-06-05T23:20:18.2390672Z + [[ Release == \D\e\b\u\g ]] 2025-06-05T23:20:18.2391016Z + CXXFLAGS= 2025-06-05T23:20:18.2391207Z + CXXFLAGS= 2025-06-05T23:20:18.2391543Z + retry cmake -DPYTHON_EXECUTABLE=python -DCMAKE_BUILD_TYPE=Release .. 2025-06-05T23:20:18.2392148Z + cmake -DPYTHON_EXECUTABLE=python -DCMAKE_BUILD_TYPE=Release .. 2025-06-05T23:20:18.2392584Z -- The C compiler identification is Clang 12.0.1 2025-06-05T23:20:18.2393223Z -- The CXX compiler identification is Clang 12.0.1 2025-06-05T23:20:18.2393665Z -- Detecting C compiler ABI info 2025-06-05T23:20:18.2393957Z -- Detecting C compiler ABI info - done 2025-06-05T23:20:18.2394340Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2025-06-05T23:20:18.2394718Z -- Detecting C compile features 2025-06-05T23:20:18.2394999Z -- Detecting C compile features - done 2025-06-05T23:20:18.2395314Z -- Detecting CXX compiler ABI info 2025-06-05T23:20:18.2395610Z -- Detecting CXX compiler ABI info - done 2025-06-05T23:20:18.2396003Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2025-06-05T23:20:18.2396379Z -- Detecting CXX compile features 2025-06-05T23:20:18.2396680Z -- Detecting CXX compile features - done 2025-06-05T23:20:18.2396985Z -- --- Configured Options --- 2025-06-05T23:20:18.2397218Z 2025-06-05T23:20:18.2397335Z -- CMAKE_CXX_STANDARD : 17 2025-06-05T23:20:18.2397689Z -- CMAKE_SYSTEM_PROCESSOR : x86_64 2025-06-05T23:20:18.2398046Z -- CMAKE_BUILD_TYPE : Release 2025-06-05T23:20:18.2398409Z -- PYTHON_EXECUTABLE : python 2025-06-05T23:20:18.2398754Z -- CMAKE_CXX_COMPILER_ID : Clang 2025-06-05T23:20:18.2399112Z -- CMAKE_TOOLCHAIN_FILE x (unset) 2025-06-05T23:20:18.2399449Z -- BUCK2 x (unset) 2025-06-05T23:20:18.2399793Z -- EXECUTORCH_ENABLE_LOGGING : OFF 2025-06-05T23:20:18.2400134Z -- EXECUTORCH_BUILD_COREML : OFF 2025-06-05T23:20:18.2400497Z -- EXECUTORCH_FLATBUFFERS_MAX_ALIGNMENT : 1024 2025-06-05T23:20:18.2400865Z -- EXECUTORCH_PAL_DEFAULT : posix 2025-06-05T23:20:18.2401392Z -- EXECUTORCH_PAL_DEFAULT_FILE_PATH : /pytorch/executorch/runtime/platform/default/posix.cpp 2025-06-05T23:20:18.2401936Z -- EXECUTORCH_LOG_LEVEL : Info 2025-06-05T23:20:18.2402287Z -- EXECUTORCH_ENABLE_PROGRAM_VERIFICATION : OFF 2025-06-05T23:20:18.2402652Z -- EXECUTORCH_ENABLE_EVENT_TRACER : OFF 2025-06-05T23:20:18.2402992Z -- EXECUTORCH_OPTIMIZE_SIZE : OFF 2025-06-05T23:20:18.2403342Z -- EXECUTORCH_BUILD_ARM_BAREMETAL : OFF 2025-06-05T23:20:18.2403698Z -- EXECUTORCH_BUILD_KERNELS_CUSTOM : OFF 2025-06-05T23:20:18.2404041Z -- EXECUTORCH_BUILD_KERNELS_CUSTOM_AOT : OFF 2025-06-05T23:20:18.2404401Z -- EXECUTORCH_BUILD_KERNELS_QUANTIZED_AOT : OFF 2025-06-05T23:20:18.2404749Z -- EXECUTORCH_BUILD_EXTENSION_DATA_LOADER : OFF 2025-06-05T23:20:18.2405108Z -- EXECUTORCH_BUILD_EXTENSION_FLAT_TENSOR : OFF 2025-06-05T23:20:18.2405454Z -- EXECUTORCH_BUILD_EXTENSION_LLM : OFF 2025-06-05T23:20:18.2405805Z -- EXECUTORCH_BUILD_EXTENSION_MODULE : OFF 2025-06-05T23:20:18.2406151Z -- EXECUTORCH_BUILD_EXTENSION_RUNNER_UTIL : OFF 2025-06-05T23:20:18.2406511Z -- EXECUTORCH_BUILD_EXTENSION_TENSOR : OFF 2025-06-05T23:20:18.2406923Z -- EXECUTORCH_BUILD_EXTENSION_TRAINING : OFF 2025-06-05T23:20:18.2407305Z -- EXECUTORCH_BUILD_EXTENSION_APPLE : OFF 2025-06-05T23:20:18.2407720Z -- EXECUTORCH_BUILD_MPS : OFF 2025-06-05T23:20:18.2408050Z -- EXECUTORCH_BUILD_NEURON : OFF 2025-06-05T23:20:18.2408395Z -- EXECUTORCH_BUILD_OPENVINO : OFF 2025-06-05T23:20:18.2408728Z -- EXECUTORCH_BUILD_PYBIND : OFF 2025-06-05T23:20:18.2409068Z -- EXECUTORCH_BUILD_QNN : OFF 2025-06-05T23:20:18.2409409Z -- EXECUTORCH_BUILD_KERNELS_OPTIMIZED : OFF 2025-06-05T23:20:18.2409774Z -- EXECUTORCH_BUILD_KERNELS_QUANTIZED : OFF 2025-06-05T23:20:18.2410125Z -- EXECUTORCH_BUILD_DEVTOOLS : OFF 2025-06-05T23:20:18.2410454Z -- EXECUTORCH_BUILD_TESTS : OFF 2025-06-05T23:20:18.2410795Z -- EXECUTORCH_NNLIB_OPT : OFF 2025-06-05T23:20:18.2411130Z -- EXECUTORCH_CADENCE_CPU_RUNNER : OFF 2025-06-05T23:20:18.2411479Z -- EXECUTORCH_BUILD_SIZE_TEST : OFF 2025-06-05T23:20:18.2411889Z -- EXECUTORCH_BUILD_XNNPACK : OFF 2025-06-05T23:20:18.2412235Z -- EXECUTORCH_BUILD_VULKAN : OFF 2025-06-05T23:20:18.2412569Z -- EXECUTORCH_BUILD_PORTABLE_OPS : ON 2025-06-05T23:20:18.2412918Z -- EXECUTORCH_USE_DL : ON 2025-06-05T23:20:18.2413258Z -- EXECUTORCH_BUILD_CADENCE : OFF 2025-06-05T23:20:18.2413587Z -- EXECUTORCH_BUILD_CORTEX_M : OFF 2025-06-05T23:20:18.2413931Z -- EXECUTORCH_BUILD_GFLAGS : ON 2025-06-05T23:20:18.2414268Z -- EXECUTORCH_COREML_BUILD_EXECUTOR_RUNNER : OFF 2025-06-05T23:20:18.2414625Z -- EXECUTORCH_BUILD_PTHREADPOOL : ON 2025-06-05T23:20:18.2414961Z -- EXECUTORCH_BUILD_CPUINFO : ON 2025-06-05T23:20:18.2415309Z -- EXECUTORCH_BUILD_EXECUTOR_RUNNER : ON 2025-06-05T23:20:18.2415687Z -- EXECUTORCH_XNNPACK_SHARED_WORKSPACE : ON 2025-06-05T23:20:18.2416052Z -- EXECUTORCH_XNNPACK_ENABLE_KLEIDI : OFF 2025-06-05T23:20:18.2416421Z -- EXECUTORCH_XNNPACK_ENABLE_WEIGHT_CACHE : OFF 2025-06-05T23:20:18.2416736Z -- -------------------------- 2025-06-05T23:20:18.2417154Z -- Using the multi-header code from /pytorch/executorch/third-party/json/include/ 2025-06-05T23:20:18.2418080Z CMake Deprecation Warning at third-party/flatcc/CMakeLists.txt:2 (cmake_minimum_required): 2025-06-05T23:20:18.2418726Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-06-05T23:20:18.2419127Z CMake. 2025-06-05T23:20:18.2419249Z 2025-06-05T23:20:18.2419467Z Update the VERSION argument value. Or, use the ... syntax 2025-06-05T23:20:18.2420014Z to tell CMake that the project requires at least but has been updated 2025-06-05T23:20:18.2420479Z to work with policies introduced by or earlier. 2025-06-05T23:20:18.2420746Z 2025-06-05T23:20:18.2420888Z  2025-06-05T23:20:18.2421192Z -- dist install dir /pytorch/executorch/third-party/flatcc 2025-06-05T23:20:18.2421639Z -- lib install dir /pytorch/executorch/third-party/flatcc/lib 2025-06-05T23:20:18.2422208Z -- Setting Clang compiler options 2025-06-05T23:20:18.2423112Z -- Configured C_FLAGS: -DFLATCC_REFLECTION=0 -Wstrict-prototypes -Wsign-conversion -Wconversion -std=c11 -pedantic -Wall -Wextra -Werror 2025-06-05T23:20:23.1527193Z CMake Deprecation Warning at backends/xnnpack/third-party/FXdiv/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED): 2025-06-05T23:20:23.1528124Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-06-05T23:20:23.1528643Z CMake. 2025-06-05T23:20:23.1528755Z 2025-06-05T23:20:23.1528979Z Update the VERSION argument value. Or, use the ... syntax 2025-06-05T23:20:23.1529535Z to tell CMake that the project requires at least but has been updated 2025-06-05T23:20:23.1530003Z to work with policies introduced by or earlier. 2025-06-05T23:20:23.1530288Z 2025-06-05T23:20:23.1530417Z  2025-06-05T23:20:23.1531213Z CMake Deprecation Warning at backends/xnnpack/third-party/cpuinfo/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED): 2025-06-05T23:20:23.1531930Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-06-05T23:20:23.1532495Z CMake. 2025-06-05T23:20:23.1532665Z 2025-06-05T23:20:23.1532914Z Update the VERSION argument value. Or, use the ... syntax 2025-06-05T23:20:23.1533462Z to tell CMake that the project requires at least but has been updated 2025-06-05T23:20:23.1533921Z to work with policies introduced by or earlier. 2025-06-05T23:20:23.1534291Z 2025-06-05T23:20:23.1534468Z  2025-06-05T23:20:23.1534821Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD 2025-06-05T23:20:23.1535225Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success 2025-06-05T23:20:23.1535573Z -- Found Threads: TRUE 2025-06-05T23:20:23.1536307Z CMake Deprecation Warning at backends/xnnpack/third-party/pthreadpool/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED): 2025-06-05T23:20:23.1537076Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-06-05T23:20:23.1537654Z CMake. 2025-06-05T23:20:23.1537781Z 2025-06-05T23:20:23.1538024Z Update the VERSION argument value. Or, use the ... syntax 2025-06-05T23:20:23.1538609Z to tell CMake that the project requires at least but has been updated 2025-06-05T23:20:23.1539076Z to work with policies introduced by or earlier. 2025-06-05T23:20:23.1539326Z 2025-06-05T23:20:23.1539444Z  2025-06-05T23:20:23.1539634Z -- Resolved buck2 as buck2. 2025-06-05T23:20:23.1539898Z -- Killing buck2 daemon 2025-06-05T23:20:23.1540180Z 'buck2 killall' 2025-06-05T23:20:23.1540421Z -- executorch: Generating source lists 2025-06-05T23:20:23.1540919Z -- executorch: Generating source file list /pytorch/executorch/cmake-out/executorch_srcs.cmake 2025-06-05T23:20:23.1541593Z -- executorch: Using sources file /pytorch/executorch/cmake-out/executorch_srcs.cmake 2025-06-05T23:20:23.1542139Z -- Generating operator lib: 2025-06-05T23:20:23.1542396Z -- LIB_NAME: portable_ops_lib 2025-06-05T23:20:23.1542817Z -- OPS_SCHEMA_YAML: /pytorch/executorch/kernels/portable/functions.yaml 2025-06-05T23:20:23.1543285Z -- ROOT_OPS: 2025-06-05T23:20:23.1543495Z -- INCLUDE_ALL_OPS: 2025-06-05T23:20:23.1544757Z Command - python;-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" 2025-06-05T23:20:23.1546028Z -- Generating kernel bindings: 2025-06-05T23:20:23.1546299Z -- LIB_NAME: portable_ops_lib 2025-06-05T23:20:23.1546698Z -- FUNCTIONS_YAML: /pytorch/executorch/kernels/portable/functions.yaml 2025-06-05T23:20:23.1547107Z -- CUSTOM_OPS_YAML: 2025-06-05T23:20:23.1547367Z -- ADD_EXCEPTION_BOUNDARY: FALSE 2025-06-05T23:20:23.1549050Z 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 2025-06-05T23:20:23.1550554Z -- Generating operator lib: 2025-06-05T23:20:23.1550934Z -- LIB_NAME: portable_ops_lib 2025-06-05T23:20:23.1551209Z -- KERNEL_LIBS: portable_kernels 2025-06-05T23:20:23.1551502Z -- DEPS: executorch_core 2025-06-05T23:20:23.1552069Z CMake Deprecation Warning at third-party/gflags/CMakeLists.txt:73 (cmake_minimum_required): 2025-06-05T23:20:23.1552725Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-06-05T23:20:23.1553122Z CMake. 2025-06-05T23:20:23.1553242Z 2025-06-05T23:20:23.1553455Z Update the VERSION argument value. Or, use the ... syntax 2025-06-05T23:20:23.1554005Z to tell CMake that the project requires at least but has been updated 2025-06-05T23:20:23.1554469Z to work with policies introduced by or earlier. 2025-06-05T23:20:23.1554798Z 2025-06-05T23:20:23.1554900Z  2025-06-05T23:20:23.1555107Z -- Looking for C++ include unistd.h 2025-06-05T23:20:23.1555421Z -- Looking for C++ include unistd.h - found 2025-06-05T23:20:23.1555728Z -- Looking for C++ include stdint.h 2025-06-05T23:20:23.1556031Z -- Looking for C++ include stdint.h - found 2025-06-05T23:20:23.1556354Z -- Looking for C++ include inttypes.h 2025-06-05T23:20:23.1556662Z -- Looking for C++ include inttypes.h - found 2025-06-05T23:20:23.1556990Z -- Looking for C++ include sys/types.h 2025-06-05T23:20:23.1557300Z -- Looking for C++ include sys/types.h - found 2025-06-05T23:20:23.1557624Z -- Looking for C++ include sys/stat.h 2025-06-05T23:20:23.1557926Z -- Looking for C++ include sys/stat.h - found 2025-06-05T23:20:23.1558252Z -- Looking for C++ include fnmatch.h 2025-06-05T23:20:23.1558553Z -- Looking for C++ include fnmatch.h - found 2025-06-05T23:20:23.1558876Z -- Looking for C++ include stddef.h 2025-06-05T23:20:23.1559173Z -- Looking for C++ include stddef.h - found 2025-06-05T23:20:23.1559492Z -- Check size of uint32_t 2025-06-05T23:20:23.1559837Z -- Check size of uint32_t - done 2025-06-05T23:20:23.1560100Z -- Looking for strtoll 2025-06-05T23:20:23.1560349Z -- Looking for strtoll - found 2025-06-05T23:20:23.1560614Z -- Configuring done (5.1s) 2025-06-05T23:20:23.1560873Z -- Generating done (0.1s) 2025-06-05T23:20:23.1561213Z -- Build files have been written to: /pytorch/executorch/cmake-out 2025-06-05T23:20:23.1561597Z + popd 2025-06-05T23:20:23.1561787Z /pytorch/executorch 2025-06-05T23:20:23.1562004Z ++ uname 2025-06-05T23:20:23.1562192Z + '[' Linux == Darwin ']' 2025-06-05T23:20:23.1562430Z ++ nproc 2025-06-05T23:20:23.1562622Z + CMAKE_JOBS=7 2025-06-05T23:20:23.1562834Z + cmake --build cmake-out -j 7 2025-06-05T23:20:23.1563282Z [ 0%] Creating directories for 'flatcc_external_project' 2025-06-05T23:20:23.1564104Z [ 1%] Building CXX object third-party/gflags/CMakeFiles/gflags_nothreads_static.dir/src/gflags_reporting.cc.o 2025-06-05T23:20:23.1565132Z [ 1%] Building CXX object third-party/gflags/CMakeFiles/gflags_nothreads_static.dir/src/gflags.cc.o 2025-06-05T23:20:23.1565871Z [ 1%] Creating directories for 'flatbuffers_external_project' 2025-06-05T23:20:23.1566727Z [ 1%] Building C object backends/xnnpack/third-party/pthreadpool/CMakeFiles/pthreadpool.dir/src/legacy-api.c.o 2025-06-05T23:20:23.1567707Z [ 1%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/api.c.o 2025-06-05T23:20:23.1568643Z [ 2%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/api.c.o 2025-06-05T23:20:23.1569384Z [ 2%] No download step for 'flatcc_external_project' 2025-06-05T23:20:23.1569897Z [ 2%] No download step for 'flatbuffers_external_project' 2025-06-05T23:20:23.1570408Z [ 3%] No update step for 'flatcc_external_project' 2025-06-05T23:20:23.1570918Z [ 3%] No update step for 'flatbuffers_external_project' 2025-06-05T23:20:23.1571408Z [ 3%] No patch step for 'flatcc_external_project' 2025-06-05T23:20:23.1571900Z [ 3%] No patch step for 'flatbuffers_external_project' 2025-06-05T23:20:23.1572439Z [ 3%] Performing configure step for 'flatcc_external_project' 2025-06-05T23:20:23.1574840Z [ 4%] Performing configure step for 'flatbuffers_external_project' 2025-06-05T23:20:23.1575522Z CMake Warning: 2025-06-05T23:20:23.1575965Z Ignoring empty string ("") provided on the command line. 2025-06-05T23:20:23.1576235Z 2025-06-05T23:20:23.1576346Z  2025-06-05T23:20:23.1576557Z CMake Warning: 2025-06-05T23:20:23.1576854Z Ignoring empty string ("") provided on the command line. 2025-06-05T23:20:23.1577116Z 2025-06-05T23:20:23.1577208Z  2025-06-05T23:20:23.1577763Z CMake Deprecation Warning at CMakeLists.txt:2 (cmake_minimum_required): 2025-06-05T23:20:23.1578725Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-06-05T23:20:23.1579644Z CMake. 2025-06-05T23:20:23.1579828Z 2025-06-05T23:20:23.1580228Z Update the VERSION argument value. Or, use the ... syntax 2025-06-05T23:20:23.1581112Z to tell CMake that the project requires at least but has been updated 2025-06-05T23:20:23.1581866Z to work with policies introduced by or earlier. 2025-06-05T23:20:23.1582270Z 2025-06-05T23:20:23.1582472Z  2025-06-05T23:20:23.1582712Z fatal: No names found, cannot describe anything. 2025-06-05T23:20:23.1583241Z CMake Warning at CMake/Version.cmake:32 (message): 2025-06-05T23:20:23.1583707Z git describe failed with exit code: 128 2025-06-05T23:20:23.1583983Z 2025-06-05T23:20:23.1584148Z Make sure you cloned with tags or run 'git fetch --tags'. 2025-06-05T23:20:23.1584526Z Call Stack (most recent call first): 2025-06-05T23:20:23.1584827Z CMakeLists.txt:5 (include) 2025-06-05T23:20:23.1585003Z 2025-06-05T23:20:23.1585103Z  2025-06-05T23:20:23.1585324Z -- Proceeding with version: 24.3.25.0 2025-06-05T23:20:23.1586247Z [ 4%] Building C object backends/xnnpack/third-party/pthreadpool/CMakeFiles/pthreadpool.dir/src/portable-api.c.o 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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 'sqlitedict'. Discussion can be found at https://github.com/pypa/pip/issues/6334 2025-06-05T23:20:40.8087896Z  Building wheel for sqlitedict (setup.py) ... [?25l- done 2025-06-05T23:20:40.8088925Z [?25h Created wheel for sqlitedict: filename=sqlitedict-2.1.0-py3-none-any.whl size=16958 sha256=5299f376922eede5f3c54fcf65c7d9ece679b4ad120e02fe88a1bc678b34a256 2025-06-05T23:20:40.8090504Z Stored in directory: /var/lib/ci-user/.cache/pip/wheels/79/d6/e7/304e0e6cb2221022c26d8161f7c23cd4f259a9e41e8bbcfabd 2025-06-05T23:20:40.8093621Z  DEPRECATION: Building 'word2number' 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 'word2number'. Discussion can be found at https://github.com/pypa/pip/issues/6334 2025-06-05T23:20:40.8095993Z  Building wheel for word2number (setup.py) ... [?25l- done 2025-06-05T23:20:40.8097034Z [?25h Created wheel for word2number: filename=word2number-1.1-py3-none-any.whl size=5658 sha256=e4d44b8d1dfdd168d7cd2ba3cddeedf176e3362263a006102dd82712f6cc51d8 2025-06-05T23:20:40.8098147Z Stored in directory: /var/lib/ci-user/.cache/pip/wheels/84/ff/26/d3cfbd971e96c5aa3737ecfced81628830d7359b55fbb8ca3b 2025-06-05T23:20:40.8098848Z Successfully built rouge-score sqlitedict word2number 2025-06-05T23:20:48.6054732Z Installing collected packages: word2number, sqlitedict, zstandard, tornado, threadpoolctl, tcolorpy, scipy, pybind11, portalocker, pathvalidate, numexpr, more-itertools, jsonlines, joblib, colorama, click, chardet, absl-py, tqdm-multiprocess, snakeviz, scikit-learn, sacrebleu, nltk, mbstrdecoder, typepy, rouge-score, accelerate, peft, DataProperty, tabledata, evaluate, pytablewriter, lm_eval 2025-06-05T23:20:48.6056791Z [?25l 2025-06-05T23:20:48.6057272Z  ━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  3/33 [tornado] 2025-06-05T23:20:48.6057887Z  ━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  5/33 [tcolorpy] 2025-06-05T23:20:48.6058486Z  ━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  6/33 [scipy] 2025-06-05T23:20:48.6059069Z  ━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  6/33 [scipy] 2025-06-05T23:20:48.6059663Z  ━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  6/33 [scipy] 2025-06-05T23:20:48.6060265Z  ━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  6/33 [scipy] 2025-06-05T23:20:48.6060848Z  ━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  6/33 [scipy] 2025-06-05T23:20:48.6061513Z  ━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  6/33 [scipy] 2025-06-05T23:20:48.6062089Z  ━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  6/33 [scipy] 2025-06-05T23:20:48.6062676Z  ━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  6/33 [scipy] 2025-06-05T23:20:48.6063258Z  ━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  6/33 [scipy] 2025-06-05T23:20:48.6063829Z  ━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  6/33 [scipy] 2025-06-05T23:20:48.6064432Z  ━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  6/33 [scipy] 2025-06-05T23:20:48.6065017Z  ━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  6/33 [scipy] 2025-06-05T23:20:48.6065671Z  ━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  6/33 [scipy] 2025-06-05T23:20:48.6066279Z  ━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  6/33 [scipy] 2025-06-05T23:20:48.6066851Z  ━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  6/33 [scipy] 2025-06-05T23:20:48.6067436Z  ━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  6/33 [scipy] 2025-06-05T23:20:48.6068010Z  ━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  6/33 [scipy] 2025-06-05T23:20:48.6068603Z  ━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  6/33 [scipy] 2025-06-05T23:20:48.6069202Z  ━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━ 13/33 [joblib] 2025-06-05T23:20:48.6069831Z  ━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━ 15/33 [click] 2025-06-05T23:20:48.6070444Z  ━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━ 16/33 [chardet] 2025-06-05T23:20:48.6071194Z  ━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━ 20/33 [scikit-learn] 2025-06-05T23:20:48.6071819Z  ━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━ 20/33 [scikit-learn] 2025-06-05T23:20:48.6072439Z  ━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━ 20/33 [scikit-learn] 2025-06-05T23:20:48.6073238Z  ━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━ 20/33 [scikit-learn] 2025-06-05T23:20:48.6073854Z  ━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━ 20/33 [scikit-learn] 2025-06-05T23:20:48.6074452Z  ━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━ 20/33 [scikit-learn] 2025-06-05T23:20:48.6075083Z  ━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━ 20/33 [scikit-learn] 2025-06-05T23:20:48.6075785Z  ━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━ 20/33 [scikit-learn] 2025-06-05T23:20:48.6076446Z  ━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━ 20/33 [scikit-learn] 2025-06-05T23:20:48.6077065Z  ━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━ 20/33 [scikit-learn] 2025-06-05T23:20:48.6077650Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━ 22/33 [nltk] 2025-06-05T23:20:48.6078231Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━ 22/33 [nltk] 2025-06-05T23:20:48.6078810Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━ 22/33 [nltk] 2025-06-05T23:20:48.6079371Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━ 22/33 [nltk] 2025-06-05T23:20:48.6080014Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━ 26/33 [accelerate] 2025-06-05T23:20:48.6080676Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━ 26/33 [accelerate] 2025-06-05T23:20:48.6081265Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 27/33 [peft] 2025-06-05T23:20:48.6081865Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 31/33 [pytablewriter] 2025-06-05T23:20:48.6082451Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 32/33 [lm_eval] 2025-06-05T23:20:48.6083029Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 32/33 [lm_eval] 2025-06-05T23:21:06.2623216Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 32/33 [lm_eval] 2025-06-05T23:21:06.2623852Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 32/33 [lm_eval] 2025-06-05T23:21:06.2624456Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 33/33 [lm_eval] 2025-06-05T23:21:06.2624833Z [?25h 2025-06-05T23:21:06.2627668Z Successfully installed DataProperty-1.1.0 absl-py-2.3.0 accelerate-1.7.0 chardet-5.2.0 click-8.2.1 colorama-0.4.6 evaluate-0.4.3 joblib-1.5.1 jsonlines-4.0.0 lm_eval-0.4.5 mbstrdecoder-1.1.4 more-itertools-10.7.0 nltk-3.9.1 numexpr-2.10.2 pathvalidate-3.2.3 peft-0.15.2 portalocker-3.1.1 pybind11-2.13.6 pytablewriter-1.2.1 rouge-score-0.1.2 sacrebleu-2.5.1 scikit-learn-1.7.0 scipy-1.15.3 snakeviz-2.2.2 sqlitedict-2.1.0 tabledata-1.3.4 tcolorpy-0.1.7 threadpoolctl-3.6.0 tornado-6.5.1 tqdm-multiprocess-0.0.11 typepy-1.3.4 word2number-1.1 zstandard-0.23.0 2025-06-05T23:21:06.2630048Z Failed to import examples.models due to lm_eval conflict. Removing lm_eval examples module 2025-06-05T23:21:06.2630548Z + PYTHON_EXECUTABLE=python 2025-06-05T23:21:06.2631289Z + bash .ci/scripts/test_llama.sh -model stories110M -build_tool cmake -mode qnn -dtype fp32 -pt2e_quantize qnn_16a16w 2025-06-05T23:21:06.2632147Z ++ dirname .ci/scripts/test_llama.sh 2025-06-05T23:21:06.2632438Z + source .ci/scripts/utils.sh 2025-06-05T23:21:06.2632699Z + [[ 10 -gt 0 ]] 2025-06-05T23:21:06.2632921Z + case "$1" in 2025-06-05T23:21:06.2633128Z + MODEL_NAME=stories110M 2025-06-05T23:21:06.2633368Z + shift 2 2025-06-05T23:21:06.2633549Z + [[ 8 -gt 0 ]] 2025-06-05T23:21:06.2633764Z + case "$1" in 2025-06-05T23:21:06.2633962Z + BUILD_TOOL=cmake 2025-06-05T23:21:06.2634177Z + shift 2 2025-06-05T23:21:06.2634358Z + [[ 6 -gt 0 ]] 2025-06-05T23:21:06.2634566Z + case "$1" in 2025-06-05T23:21:06.2634760Z + MODE=qnn 2025-06-05T23:21:06.2634954Z + shift 2 2025-06-05T23:21:06.2635131Z + [[ 4 -gt 0 ]] 2025-06-05T23:21:06.2635337Z + case "$1" in 2025-06-05T23:21:06.2635532Z + DTYPE=fp32 2025-06-05T23:21:06.2635731Z + shift 2 2025-06-05T23:21:06.2635908Z + [[ 2 -gt 0 ]] 2025-06-05T23:21:06.2636115Z + case "$1" in 2025-06-05T23:21:06.2636336Z + PT2E_QUANTIZE=qnn_16a16w 2025-06-05T23:21:06.2636682Z + shift 2 2025-06-05T23:21:06.2636883Z + [[ 0 -gt 0 ]] 2025-06-05T23:21:06.2637138Z + MODE=qnn 2025-06-05T23:21:06.2637330Z + UPLOAD_DIR= 2025-06-05T23:21:06.2637553Z + PT2E_QUANTIZE=qnn_16a16w 2025-06-05T23:21:06.2637812Z + CMAKE_BUILD_TYPE=Release 2025-06-05T23:21:06.2638060Z + [[ 0 -lt 4 ]] 2025-06-05T23:21:06.2638311Z + echo 'Expecting atleast 4 positional arguments' 2025-06-05T23:21:06.2638671Z Expecting atleast 4 positional arguments 2025-06-05T23:21:06.2638976Z + echo 'Usage: [...]' 2025-06-05T23:21:06.2639189Z Usage: [...] 2025-06-05T23:21:06.2639400Z + [[ -z stories110M ]] 2025-06-05T23:21:06.2639618Z + [[ -z cmake ]] 2025-06-05T23:21:06.2639826Z + [[ -z fp32 ]] 2025-06-05T23:21:06.2640022Z + [[ -z qnn ]] 2025-06-05T23:21:06.2640312Z + [[ qnn =~ .*xnnpack.* ]] 2025-06-05T23:21:06.2640663Z + XNNPACK=OFF 2025-06-05T23:21:06.2640894Z + [[ qnn =~ .*custom.* ]] 2025-06-05T23:21:06.2641120Z + CUSTOM=OFF 2025-06-05T23:21:06.2641322Z + [[ qnn =~ .*qe.* ]] 2025-06-05T23:21:06.2641529Z + QE=OFF 2025-06-05T23:21:06.2641734Z + [[ qnn =~ .*mps.* ]] 2025-06-05T23:21:06.2641944Z + MPS=OFF 2025-06-05T23:21:06.2642145Z + echo 'MPS option OFF' 2025-06-05T23:21:06.2642477Z MPS option OFF 2025-06-05T23:21:06.2642682Z + [[ qnn =~ .*coreml.* ]] 2025-06-05T23:21:06.2642920Z + COREML=OFF 2025-06-05T23:21:06.2643120Z + [[ qnn =~ .*quantize_kv.* ]] 2025-06-05T23:21:06.2643381Z + QUANTIZE_KV_CACHE=OFF 2025-06-05T23:21:06.2643613Z + echo 'COREML option OFF' 2025-06-05T23:21:06.2643858Z COREML option OFF 2025-06-05T23:21:06.2644065Z + [[ qnn =~ .*qnn.* ]] 2025-06-05T23:21:06.2644285Z + QNN=ON 2025-06-05T23:21:06.2644496Z +++ dirname -- .ci/scripts/test_llama.sh 2025-06-05T23:21:06.2644801Z ++ cd -- .ci/scripts/.. 2025-06-05T23:21:06.2645022Z ++ pwd 2025-06-05T23:21:06.2645268Z + export EXECUTORCH_ROOT=/pytorch/executorch/.ci 2025-06-05T23:21:06.2645625Z + EXECUTORCH_ROOT=/pytorch/executorch/.ci 2025-06-05T23:21:06.2645947Z + export QNN_SDK_ROOT=/tmp/qnn/2.28.0.241029 2025-06-05T23:21:06.2646269Z + QNN_SDK_ROOT=/tmp/qnn/2.28.0.241029 2025-06-05T23:21:06.2646650Z + export LD_LIBRARY_PATH=/tmp/qnn/2.28.0.241029/lib/x86_64-linux-clang 2025-06-05T23:21:06.2647127Z + LD_LIBRARY_PATH=/tmp/qnn/2.28.0.241029/lib/x86_64-linux-clang 2025-06-05T23:21:06.2647525Z + export PYTHONPATH=.. 2025-06-05T23:21:06.2647765Z + PYTHONPATH=.. 2025-06-05T23:21:06.2648024Z + cp schema/program.fbs exir/_serialize/program.fbs 2025-06-05T23:21:06.2648441Z + cp schema/scalar_type.fbs exir/_serialize/scalar_type.fbs 2025-06-05T23:21:06.2649147Z + cp -f build-x86/backends/qualcomm/PyQnnManagerAdaptor.cpython-310-x86_64-linux-gnu.so backends/qualcomm/python 2025-06-05T23:21:06.2650314Z + cp -f build-x86/backends/qualcomm/PyQnnWrapperAdaptor.cpython-310-x86_64-linux-gnu.so backends/qualcomm/python 2025-06-05T23:21:06.2650949Z + echo 'QNN option ON' 2025-06-05T23:21:06.2651174Z QNN option ON 2025-06-05T23:21:06.2651421Z + echo 'QNN_SDK_ROOT: /tmp/qnn/2.28.0.241029' 2025-06-05T23:21:06.2651733Z QNN_SDK_ROOT: /tmp/qnn/2.28.0.241029 2025-06-05T23:21:06.2652022Z + [[ -z '' ]] 2025-06-05T23:21:06.2652264Z + BUCK=buck2 2025-06-05T23:21:06.2652472Z + [[ -z python ]] 2025-06-05T23:21:06.2652698Z + which python 2025-06-05T23:21:06.2652916Z /opt/conda/envs/py_3.10/bin/python 2025-06-05T23:21:06.2653203Z + PARAMS=params.json 2025-06-05T23:21:06.2653431Z + CHECKPOINT_FILE_NAME= 2025-06-05T23:21:06.2653672Z + touch params.json 2025-06-05T23:21:06.2653893Z + [[ stories110M == \l\l\a\m\a ]] 2025-06-05T23:21:06.2654177Z + [[ stories110M == \s\t\o\r\i\e\s* ]] 2025-06-05T23:21:06.2654473Z + CHECKPOINT_FILE_NAME=stories110M.pt 2025-06-05T23:21:06.2654779Z + download_stories_model_artifacts 2025-06-05T23:21:06.2655352Z + curl -Ls https://huggingface.co/karpathy/tinyllamas/resolve/main/stories110M.pt --output stories110M.pt 2025-06-05T23:21:06.2656231Z + curl -Ls https://raw.githubusercontent.com/karpathy/llama2.c/master/tokenizer.model --output tokenizer.model 2025-06-05T23:21:06.2656825Z + touch params.json 2025-06-05T23:21:06.2657262Z + echo '{"dim": 768, "multiple_of": 32, "n_heads": 12, "n_layers": 12, "norm_eps": 1e-05, "vocab_size": 32000}' 2025-06-05T23:21:06.2657750Z + EXPORTED_MODEL_NAME=tinyllama_qnn_fp32 2025-06-05T23:21:06.2658048Z + [[ fp32 == \f\p\1\6 ]] 2025-06-05T23:21:06.2658296Z + [[ fp32 == \b\f\1\6 ]] 2025-06-05T23:21:06.2658595Z + [[ fp32 == \f\p\3\2 ]] 2025-06-05T23:21:06.2658947Z + : 2025-06-05T23:21:06.2659162Z + EXPORTED_MODEL_NAME=tinyllama_qnn_fp32.pte 2025-06-05T23:21:06.2659501Z + echo 'Exporting tinyllama_qnn_fp32.pte' 2025-06-05T23:21:06.2659820Z Exporting tinyllama_qnn_fp32.pte 2025-06-05T23:21:06.2660261Z + EXPORT_ARGS='-c stories110M.pt -p params.json -d fp32 -n tinyllama_qnn_fp32.pte -kv' 2025-06-05T23:21:06.2660719Z + [[ OFF == \O\N ]] 2025-06-05T23:21:06.2660922Z + [[ OFF == \O\N ]] 2025-06-05T23:21:06.2661148Z + [[ OFF == \O\N ]] 2025-06-05T23:21:06.2661347Z + [[ OFF == \O\N ]] 2025-06-05T23:21:06.2661560Z + [[ OFF == \O\N ]] 2025-06-05T23:21:06.2661759Z + [[ ON == \O\N ]] 2025-06-05T23:21:06.2662284Z + EXPORT_ARGS='-c stories110M.pt -p params.json -d fp32 -n tinyllama_qnn_fp32.pte -kv -kv -v --qnn --disable_dynamic_shape' 2025-06-05T23:21:06.2662886Z + echo 'PT2E_QUANTIZE is qnn_16a16w' 2025-06-05T23:21:06.2663238Z PT2E_QUANTIZE is qnn_16a16w 2025-06-05T23:21:06.2663505Z + [[ qnn_16a16w == \q\n\n\_\1\6\a\1\6\w ]] 2025-06-05T23:21:06.2664354Z + EXPORT_ARGS+=' --tokenizer_path tokenizer.model --pt2e_quantize qnn_16a16w --calibration_tasks wikitext --calibration_limit 1 --calibration_seq_length 128 --calibration_data Once ' 2025-06-05T23:21:06.2665194Z + [[ OFF == \O\N ]] 2025-06-05T23:21:06.2666557Z + python -m examples.models.llama.export_llama -c stories110M.pt -p params.json -d fp32 -n tinyllama_qnn_fp32.pte -kv -kv -v --qnn --disable_dynamic_shape --tokenizer_path tokenizer.model --pt2e_quantize qnn_16a16w --calibration_tasks wikitext --calibration_limit 1 --calibration_seq_length 128 --calibration_data Once 2025-06-05T23:21:06.2668222Z [INFO 2025-06-05 23:20:55,072 utils.py:162] NumExpr defaulting to 8 threads. 2025-06-05T23:21:06.2668997Z [WARNING 2025-06-05 23:20:56,085 quantizer_lib.py:183] Disable per channel quantization for linear and conv due to the error with QNN HTP 16a16w. 2025-06-05T23:21:06.2670203Z [INFO 2025-06-05 23:20:56,085 export_llama_lib.py:750] Applying quantizers: [] 2025-06-05T23:21:06.2671225Z [INFO 2025-06-05 23:20:56,138 export_llama_lib.py:687] Checkpoint dtype: torch.float32 2025-06-05T23:21:06.2673015Z [INFO 2025-06-05 23:20:56,713 builder.py:182] Applied source transforms: [, , , , ] 2025-06-05T23:21:06.2674640Z [INFO 2025-06-05 23:20:56,714 builder.py:183] Model after source transforms: Transformer( 2025-06-05T23:21:06.2675108Z (tok_embeddings): Embedding(32000, 768) 2025-06-05T23:21:06.2675484Z (layers): ModuleList( 2025-06-05T23:21:06.2675743Z (0-11): 12 x TransformerBlock( 2025-06-05T23:21:06.2676024Z (attention): AttentionMHA( 2025-06-05T23:21:06.2676392Z (wq): Conv2D( 2025-06-05T23:21:06.2676763Z (conv): Conv2d(768, 768, kernel_size=(1, 1), stride=(1, 1), bias=False) 2025-06-05T23:21:06.2677134Z ) 2025-06-05T23:21:06.2677330Z (wk): Conv2D( 2025-06-05T23:21:06.2677644Z (conv): Conv2d(768, 768, kernel_size=(1, 1), stride=(1, 1), bias=False) 2025-06-05T23:21:06.2678022Z ) 2025-06-05T23:21:06.2678202Z (wv): Conv2D( 2025-06-05T23:21:06.2678522Z (conv): Conv2d(768, 768, kernel_size=(1, 1), stride=(1, 1), bias=False) 2025-06-05T23:21:06.2678884Z ) 2025-06-05T23:21:06.2679078Z (wo): Conv2D( 2025-06-05T23:21:06.2679386Z (conv): Conv2d(768, 768, kernel_size=(1, 1), stride=(1, 1), bias=False) 2025-06-05T23:21:06.2679763Z ) 2025-06-05T23:21:06.2680030Z (rope): Rope( 2025-06-05T23:21:06.2680285Z (apply_rotary_emb): RotaryEmbedding() 2025-06-05T23:21:06.2680589Z ) 2025-06-05T23:21:06.2680791Z (kv_cache): KVCacheSimple() 2025-06-05T23:21:06.2681082Z (SDPA): SDPAFlex() 2025-06-05T23:21:06.2681312Z ) 2025-06-05T23:21:06.2681522Z (feed_forward): FeedForward( 2025-06-05T23:21:06.2681786Z (w1): Conv2D( 2025-06-05T23:21:06.2682121Z (conv): Conv2d(2048, 768, kernel_size=(1, 1), stride=(1, 1), bias=False) 2025-06-05T23:21:06.2682494Z ) 2025-06-05T23:21:06.2682688Z (w2): Conv2D( 2025-06-05T23:21:06.2683015Z (conv): Conv2d(768, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False) 2025-06-05T23:21:06.2683387Z ) 2025-06-05T23:21:06.2683579Z (w3): Conv2D( 2025-06-05T23:21:06.2683894Z (conv): Conv2d(2048, 768, kernel_size=(1, 1), stride=(1, 1), bias=False) 2025-06-05T23:21:06.2684273Z ) 2025-06-05T23:21:06.2684446Z ) 2025-06-05T23:21:06.2684756Z (attention_norm): RMSNorm((768,), eps=1e-05, elementwise_affine=True) 2025-06-05T23:21:06.2685232Z (ffn_norm): RMSNorm((768,), eps=1e-05, elementwise_affine=True) 2025-06-05T23:21:06.2685640Z ) 2025-06-05T23:21:06.2685833Z ) 2025-06-05T23:21:06.2686009Z (rope): Rope( 2025-06-05T23:21:06.2686256Z (apply_rotary_emb): RotaryEmbedding() 2025-06-05T23:21:06.2686543Z ) 2025-06-05T23:21:06.2686810Z (norm): RMSNorm((768,), eps=1e-05, elementwise_affine=True) 2025-06-05T23:21:06.2687150Z (output): Conv2D( 2025-06-05T23:21:06.2687480Z (conv): Conv2d(32000, 768, kernel_size=(1, 1), stride=(1, 1), bias=False) 2025-06-05T23:21:06.2687853Z ) 2025-06-05T23:21:06.2688036Z ) 2025-06-05T23:21:06.2688403Z [INFO 2025-06-05 23:21:04,147 builder.py:282] Running canonical pass: RemoveRedundantTransposes 2025-06-05T23:21:06.2689415Z [INFO 2025-06-05 23:21:04,221 builder.py:370] Using pt2e [] to quantizing the model... 2025-06-05T23:21:06.2690703Z [INFO 2025-06-05 23:21:04,221 builder.py:377] Applied quantizers: [] 2025-06-05T23:21:06.2691581Z No quant config is implemented for op, aten.type_as.default 2025-06-05T23:21:06.2692028Z No quant config is implemented for op, aten.type_as.default 2025-06-05T23:21:06.2692449Z No quant config is implemented for op, aten.type_as.default 2025-06-05T23:25:37.7925906Z No quant config is implemented for op, aten.type_as.default 2025-06-05T23:25:37.7926780Z No quant config is implemented for op, aten.type_as.default 2025-06-05T23:25:37.7927442Z No quant config is implemented for op, aten.type_as.default 2025-06-05T23:25:37.7928086Z No quant config is implemented for op, aten.type_as.default 2025-06-05T23:25:37.7928739Z No quant config is implemented for op, aten.type_as.default 2025-06-05T23:25:37.7929420Z No quant config is implemented for op, aten.type_as.default 2025-06-05T23:25:37.7930098Z No quant config is implemented for op, aten.type_as.default 2025-06-05T23:25:37.7931100Z No quant config is implemented for op, aten.type_as.default 2025-06-05T23:25:37.7931918Z No quant config is implemented for op, aten.type_as.default 2025-06-05T23:25:37.7932652Z No quant config is implemented for op, aten.type_as.default 2025-06-05T23:25:37.7933407Z No quant config is implemented for op, aten.type_as.default 2025-06-05T23:25:37.7934051Z No quant config is implemented for op, aten.type_as.default 2025-06-05T23:25:37.7934859Z No quant config is implemented for op, aten.type_as.default 2025-06-05T23:25:37.7935500Z No quant config is implemented for op, aten.type_as.default 2025-06-05T23:25:37.7936141Z No quant config is implemented for op, aten.type_as.default 2025-06-05T23:25:37.7936816Z No quant config is implemented for op, aten.type_as.default 2025-06-05T23:25:37.7937442Z No quant config is implemented for op, aten.type_as.default 2025-06-05T23:25:37.7938279Z No quant config is implemented for op, aten.type_as.default 2025-06-05T23:25:37.7938965Z No quant config is implemented for op, aten.type_as.default 2025-06-05T23:25:37.7939643Z No quant config is implemented for op, aten.type_as.default 2025-06-05T23:25:37.7940318Z No quant config is implemented for op, aten.type_as.default 2025-06-05T23:25:37.7941060Z No quant config is implemented for op, aten.copy_.default 2025-06-05T23:25:37.7941768Z No quant config is implemented for op, aten.copy_.default 2025-06-05T23:25:37.7942444Z No quant config is implemented for op, aten.copy_.default 2025-06-05T23:25:37.7943078Z No quant config is implemented for op, aten.copy_.default 2025-06-05T23:25:37.7943735Z No quant config is implemented for op, aten.copy_.default 2025-06-05T23:25:37.7944370Z No quant config is implemented for op, aten.copy_.default 2025-06-05T23:25:37.7945009Z No quant config is implemented for op, aten.copy_.default 2025-06-05T23:25:37.7945650Z No quant config is implemented for op, aten.copy_.default 2025-06-05T23:25:37.7946295Z No quant config is implemented for op, aten.copy_.default 2025-06-05T23:25:37.7946962Z No quant config is implemented for op, aten.copy_.default 2025-06-05T23:25:37.7947849Z No quant config is implemented for op, aten.copy_.default 2025-06-05T23:25:37.7948585Z No quant config is implemented for op, aten.copy_.default 2025-06-05T23:25:37.7949286Z No quant config is implemented for op, aten.copy_.default 2025-06-05T23:25:37.7950036Z No quant config is implemented for op, aten.copy_.default 2025-06-05T23:25:37.7950708Z No quant config is implemented for op, aten.copy_.default 2025-06-05T23:25:37.7951520Z No quant config is implemented for op, aten.copy_.default 2025-06-05T23:25:37.7952189Z No quant config is implemented for op, aten.copy_.default 2025-06-05T23:25:37.7952903Z No quant config is implemented for op, aten.copy_.default 2025-06-05T23:25:37.7953544Z No quant config is implemented for op, aten.copy_.default 2025-06-05T23:25:37.7954244Z No quant config is implemented for op, aten.copy_.default 2025-06-05T23:25:37.7954962Z No quant config is implemented for op, aten.copy_.default 2025-06-05T23:25:37.7955698Z No quant config is implemented for op, aten.copy_.default 2025-06-05T23:25:37.7956627Z No quant config is implemented for op, aten.copy_.default 2025-06-05T23:25:37.7957336Z No quant config is implemented for op, aten.copy_.default 2025-06-05T23:25:37.7958576Z [INFO 2025-06-05 23:21:16,525 builder.py:395] Calibrating with tasks: ['wikitext'], limit: 1, calibration_data: Once, tokenizer_path: tokenizer.model, seq_length: 128 2025-06-05T23:25:37.7960368Z [INFO 2025-06-05 23:21:16,525 builder.py:406] Calibrating with tasks: ['wikitext'], limit: 1, calibration_data: Once, tokenizer_path: tokenizer.model, seq_length: 128 2025-06-05T23:25:37.7961611Z [INFO 2025-06-05 23:21:16,525 builder.py:296] Run calibration... 2025-06-05T23:25:37.7962355Z [INFO 2025-06-05 23:21:16,543 config.py:54] PyTorch version 2.8.0a0+git5616fa4 available. 2025-06-05T23:25:37.7963230Z [INFO 2025-06-05 23:21:18,306 llama2c.py:29] #words: 32000 - BOS ID: 1 - EOS ID: 2 2025-06-05T23:25:37.7964144Z [INFO 2025-06-05 23:21:34,114 huggingface.py:129] Using device 'cpu' 2025-06-05T23:25:37.7964621Z 2025-06-05T23:25:37.7964796Z config.json: 0% 0.00/665 [00:00.74:465 in forward, code: dequantize_per_tensor_default_181 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_181, 0.0004132623434998095, 29653, 0, 65535, torch.int32); quantize_per_tensor_default_181 = None 2025-06-05T23:26:40.0653638Z quantized_decomposed_dequantize_per_tensor_default_216: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_32, 0.0004132623434998095, 29653, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_32 = None 2025-06-05T23:26:40.0654964Z 2025-06-05T23:26:40.0655573Z # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos 2025-06-05T23:26:40.0657302Z aten_mul_tensor_4: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_197, quantized_decomposed_dequantize_per_tensor_default_213); quantized_decomposed_dequantize_per_tensor_default_197 = quantized_decomposed_dequantize_per_tensor_default_213 = None 2025-06-05T23:26:40.0659408Z quantized_decomposed_quantize_per_tensor_default_33: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_4, 0.00019886602240148932, 32650, 0, 65535, torch.int32); aten_mul_tensor_4 = None 2025-06-05T23:26:40.0661542Z quantized_decomposed_dequantize_per_tensor_default_217: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_33, 0.00019886602240148932, 32650, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_33 = None 2025-06-05T23:26:40.0663983Z aten_mul_tensor_5: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_200, quantized_decomposed_dequantize_per_tensor_default_208); quantized_decomposed_dequantize_per_tensor_default_200 = quantized_decomposed_dequantize_per_tensor_default_208 = None 2025-06-05T23:26:40.0666080Z quantized_decomposed_quantize_per_tensor_default_34: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_5, 0.000358294986654073, 34007, 0, 65535, torch.int32); aten_mul_tensor_5 = None 2025-06-05T23:26:40.0668229Z quantized_decomposed_dequantize_per_tensor_default_218: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_34, 0.000358294986654073, 34007, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_34 = None 2025-06-05T23:26:40.0670626Z aten_add_tensor: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_217, quantized_decomposed_dequantize_per_tensor_default_218); quantized_decomposed_dequantize_per_tensor_default_217 = quantized_decomposed_dequantize_per_tensor_default_218 = None 2025-06-05T23:26:40.0672918Z quantized_decomposed_quantize_per_tensor_default_35: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor, 0.0004132623434998095, 29653, 0, 65535, torch.int32); aten_add_tensor = None 2025-06-05T23:26:40.0673963Z 2025-06-05T23:26:40.0675020Z # File: .74:474 in forward, code: dequantize_per_tensor_default_184 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_184, 0.0004132623434998095, 29653, 0, 65535, torch.int32); quantize_per_tensor_default_184 = None 2025-06-05T23:26:40.0677317Z quantized_decomposed_dequantize_per_tensor_default_219: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_35, 0.0004132623434998095, 29653, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_35 = None 2025-06-05T23:26:40.0678660Z 2025-06-05T23:26:40.0679252Z # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin 2025-06-05T23:26:40.0681018Z aten_mul_tensor_6: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_203, quantized_decomposed_dequantize_per_tensor_default_207); quantized_decomposed_dequantize_per_tensor_default_203 = quantized_decomposed_dequantize_per_tensor_default_207 = None 2025-06-05T23:26:40.0683142Z quantized_decomposed_quantize_per_tensor_default_36: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_6, 0.0002772818843368441, 32772, 0, 65535, torch.int32); aten_mul_tensor_6 = None 2025-06-05T23:26:40.0685264Z quantized_decomposed_dequantize_per_tensor_default_220: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_36, 0.0002772818843368441, 32772, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_36 = None 2025-06-05T23:26:40.0687656Z aten_mul_tensor_7: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_204, quantized_decomposed_dequantize_per_tensor_default_210); quantized_decomposed_dequantize_per_tensor_default_204 = quantized_decomposed_dequantize_per_tensor_default_210 = None 2025-06-05T23:26:40.0689792Z quantized_decomposed_quantize_per_tensor_default_37: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_7, 0.00019303792214486748, 32722, 0, 65535, torch.int32); aten_mul_tensor_7 = None 2025-06-05T23:26:40.0691924Z quantized_decomposed_dequantize_per_tensor_default_221: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_37, 0.00019303792214486748, 32722, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_37 = None 2025-06-05T23:26:40.0694321Z aten_sub_tensor_1: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(quantized_decomposed_dequantize_per_tensor_default_220, quantized_decomposed_dequantize_per_tensor_default_221); quantized_decomposed_dequantize_per_tensor_default_220 = quantized_decomposed_dequantize_per_tensor_default_221 = None 2025-06-05T23:26:40.0696472Z quantized_decomposed_quantize_per_tensor_default_38: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sub_tensor_1, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_sub_tensor_1 = None 2025-06-05T23:26:40.0697507Z 2025-06-05T23:26:40.0698568Z # File: .74:483 in forward, code: dequantize_per_tensor_default_187 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_187, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantize_per_tensor_default_187 = None 2025-06-05T23:26:40.0700772Z quantized_decomposed_dequantize_per_tensor_default_222: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_38, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_38 = None 2025-06-05T23:26:40.0702142Z 2025-06-05T23:26:40.0702752Z # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos 2025-06-05T23:26:40.0704474Z aten_mul_tensor_8: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_202, quantized_decomposed_dequantize_per_tensor_default_211); quantized_decomposed_dequantize_per_tensor_default_202 = quantized_decomposed_dequantize_per_tensor_default_211 = None 2025-06-05T23:26:40.0706593Z quantized_decomposed_quantize_per_tensor_default_39: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_8, 0.0002768072590697557, 32698, 0, 65535, torch.int32); aten_mul_tensor_8 = None 2025-06-05T23:26:40.0708726Z quantized_decomposed_dequantize_per_tensor_default_223: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_39, 0.0002768072590697557, 32698, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_39 = None 2025-06-05T23:26:40.0711192Z aten_mul_tensor_9: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_205, quantized_decomposed_dequantize_per_tensor_default_206); quantized_decomposed_dequantize_per_tensor_default_205 = quantized_decomposed_dequantize_per_tensor_default_206 = None 2025-06-05T23:26:40.0713288Z quantized_decomposed_quantize_per_tensor_default_40: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_9, 0.0002400432713329792, 32705, 0, 65535, torch.int32); aten_mul_tensor_9 = None 2025-06-05T23:26:40.0715433Z quantized_decomposed_dequantize_per_tensor_default_224: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_40, 0.0002400432713329792, 32705, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_40 = None 2025-06-05T23:26:40.0717834Z aten_add_tensor_1: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_223, quantized_decomposed_dequantize_per_tensor_default_224); quantized_decomposed_dequantize_per_tensor_default_223 = quantized_decomposed_dequantize_per_tensor_default_224 = None 2025-06-05T23:26:40.0719950Z quantized_decomposed_quantize_per_tensor_default_41: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_1, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_add_tensor_1 = None 2025-06-05T23:26:40.0720992Z 2025-06-05T23:26:40.0722079Z # File: .74:492 in forward, code: dequantize_per_tensor_default_190 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_190, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantize_per_tensor_default_190 = None 2025-06-05T23:26:40.0724297Z quantized_decomposed_dequantize_per_tensor_default_225: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_41, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_41 = None 2025-06-05T23:26:40.0725636Z 2025-06-05T23:26:40.0726271Z # File: /pytorch/executorch/examples/models/llama/rope.py:95 in apply_rotary_emb, code: xq_out = torch.stack([xq_out_r, xq_out_i], dim=-1).flatten(3) 2025-06-05T23:26:40.0727758Z aten_unsqueeze_copy_default_3: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_216, 4); quantized_decomposed_dequantize_per_tensor_default_216 = None 2025-06-05T23:26:40.0729464Z aten_unsqueeze_copy_default_4: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_219, 4); quantized_decomposed_dequantize_per_tensor_default_219 = None 2025-06-05T23:26:40.0731089Z aten_cat_default: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_unsqueeze_copy_default_3, aten_unsqueeze_copy_default_4], -1); aten_unsqueeze_copy_default_3 = aten_unsqueeze_copy_default_4 = None 2025-06-05T23:26:40.0732829Z quantized_decomposed_quantize_per_tensor_default_42: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default, 0.0004132623434998095, 29653, 0, 65535, torch.int32); aten_cat_default = None 2025-06-05T23:26:40.0734971Z quantized_decomposed_dequantize_per_tensor_default_226: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_42, 0.0004132623434998095, 29653, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_42 = None 2025-06-05T23:26:40.0736983Z aten_view_copy_default_7: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_226, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_226 = None 2025-06-05T23:26:40.0738772Z quantized_decomposed_quantize_per_tensor_default_43: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_7, 0.0004132623434998095, 29653, 0, 65535, torch.int32); aten_view_copy_default_7 = None 2025-06-05T23:26:40.0739902Z 2025-06-05T23:26:40.0740951Z # File: .74:498 in forward, code: dequantize_per_tensor_default_192 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_192, 0.0004132623434998095, 29653, 0, 65535, torch.int32); quantize_per_tensor_default_192 = None 2025-06-05T23:26:40.0743162Z quantized_decomposed_dequantize_per_tensor_default_227: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_43, 0.0004132623434998095, 29653, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_43 = None 2025-06-05T23:26:40.0744501Z 2025-06-05T23:26:40.0745139Z # File: /pytorch/executorch/examples/models/llama/rope.py:96 in apply_rotary_emb, code: xk_out = torch.stack([xk_out_r, xk_out_i], dim=-1).flatten(3) 2025-06-05T23:26:40.0746618Z aten_unsqueeze_copy_default_5: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_222, 4); quantized_decomposed_dequantize_per_tensor_default_222 = None 2025-06-05T23:26:40.0748339Z aten_unsqueeze_copy_default_6: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_225, 4); quantized_decomposed_dequantize_per_tensor_default_225 = None 2025-06-05T23:26:40.0749981Z aten_cat_default_1: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_unsqueeze_copy_default_5, aten_unsqueeze_copy_default_6], -1); aten_unsqueeze_copy_default_5 = aten_unsqueeze_copy_default_6 = None 2025-06-05T23:26:40.0751758Z quantized_decomposed_quantize_per_tensor_default_44: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_1, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_cat_default_1 = None 2025-06-05T23:26:40.0753936Z quantized_decomposed_dequantize_per_tensor_default_228: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_44, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_44 = None 2025-06-05T23:26:40.0755964Z aten_view_copy_default_8: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_228, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_228 = None 2025-06-05T23:26:40.0757770Z quantized_decomposed_quantize_per_tensor_default_45: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_8, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_view_copy_default_8 = None 2025-06-05T23:26:40.0758875Z 2025-06-05T23:26:40.0759941Z # File: .74:504 in forward, code: dequantize_per_tensor_default_194 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_194, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantize_per_tensor_default_194 = None 2025-06-05T23:26:40.0762126Z quantized_decomposed_dequantize_per_tensor_default_229: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_45, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_45 = None 2025-06-05T23:26:40.0763472Z 2025-06-05T23:26:40.0764338Z # File: .74:506 in forward, code: quantize_per_tensor_default_195 = torch.ops.quantized_decomposed.quantize_per_tensor.default(type_as, 0.0004132623434998095, 29653, 0, 65535, torch.int32); type_as = None 2025-06-05T23:26:40.0766399Z quantized_decomposed_quantize_per_tensor_default_46: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_227, 0.0004132623434998095, 29653, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_227 = None 2025-06-05T23:26:40.0767739Z 2025-06-05T23:26:40.0768390Z # File: /pytorch/executorch/examples/models/llama/attention.py:416 in forward, code: q = q.transpose(1, 2) # (bs, n_local_heads, seqlen, head_dim) 2025-06-05T23:26:40.0770174Z quantized_decomposed_dequantize_per_tensor_default_230: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_46, 0.0004132623434998095, 29653, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_46 = None 2025-06-05T23:26:40.0771504Z 2025-06-05T23:26:40.0772410Z # File: .74:509 in forward, code: quantize_per_tensor_default_196 = torch.ops.quantized_decomposed.quantize_per_tensor.default(type_as_1, 0.0002779011847451329, 32770, 0, 65535, torch.int32); type_as_1 = None 2025-06-05T23:26:40.0774612Z quantized_decomposed_quantize_per_tensor_default_47: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_229, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_229 = None 2025-06-05T23:26:40.0775962Z 2025-06-05T23:26:40.0776765Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:510 in update, code: k_out = torch.ops.aten.index_put_(self.past_k_caches, [None, input_pos], k_val) 2025-06-05T23:26:40.0778788Z quantized_decomposed_dequantize_per_tensor_default_231: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_47, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_47 = None 2025-06-05T23:26:40.0780138Z 2025-06-05T23:26:40.0780789Z # File: /pytorch/executorch/examples/models/llama/attention.py:416 in forward, code: q = q.transpose(1, 2) # (bs, n_local_heads, seqlen, head_dim) 2025-06-05T23:26:40.0782215Z aten_permute_copy_default_6: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_230, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_230 = None 2025-06-05T23:26:40.0784095Z quantized_decomposed_quantize_per_tensor_default_48: "i32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_6, 0.0004132623434998095, 29653, 0, 65535, torch.int32); aten_permute_copy_default_6 = None 2025-06-05T23:26:40.0785217Z 2025-06-05T23:26:40.0785908Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:324 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-06-05T23:26:40.0787744Z quantized_decomposed_dequantize_per_tensor_default_232: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_48, 0.0004132623434998095, 29653, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_48 = None 2025-06-05T23:26:40.0789069Z 2025-06-05T23:26:40.0789609Z # File: /pytorch/executorch/examples/models/llama/attention.py:435 in forward, code: attn_mask = self.mask[input_pos] 2025-06-05T23:26:40.0791027Z aten_index_tensor_2: "f32[1, 128]" = executorch_exir_dialects_edge__ops_aten_index_Tensor(quantized_decomposed_dequantize_per_tensor_default_113, [attn_options_input_pos]); quantized_decomposed_dequantize_per_tensor_default_113 = None 2025-06-05T23:26:40.0792856Z quantized_decomposed_quantize_per_tensor_default_49: "i32[1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_tensor_2, 0.0038910505827516317, 65535, 0, 65535, torch.int32); aten_index_tensor_2 = None 2025-06-05T23:26:40.0793905Z 2025-06-05T23:26:40.0794514Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:325 in forward, code: attn_weight += attn_mask 2025-06-05T23:26:40.0796254Z quantized_decomposed_dequantize_per_tensor_default_233: "f32[1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_49, 0.0038910505827516317, 65535, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_49 = None 2025-06-05T23:26:40.0797594Z 2025-06-05T23:26:40.0798432Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:510 in update, code: k_out = torch.ops.aten.index_put_(self.past_k_caches, [None, input_pos], k_val) 2025-06-05T23:26:40.0800512Z aten_index_put_default: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(quantized_decomposed_dequantize_per_tensor_default_114, [None, attn_options_input_pos], quantized_decomposed_dequantize_per_tensor_default_231); quantized_decomposed_dequantize_per_tensor_default_114 = quantized_decomposed_dequantize_per_tensor_default_231 = None 2025-06-05T23:26:40.0802838Z quantized_decomposed_quantize_per_tensor_default_50: "i32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_put_default, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_index_put_default = None 2025-06-05T23:26:40.0803958Z 2025-06-05T23:26:40.0804861Z # File: .74:519 in forward, code: dequantize_per_tensor_default_199 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_199, 0.0002779011847451329, 32770, 0, 65535, torch.int32) 2025-06-05T23:26:40.0806695Z quantized_decomposed_dequantize_per_tensor_default_234: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_50, 0.0002779011847451329, 32770, 0, 65535, torch.int32) 2025-06-05T23:26:40.0807817Z 2025-06-05T23:26:40.0808574Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.0810291Z quantized_decomposed_dequantize_per_tensor_default_235: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_50, 0.0002779011847451329, 32770, 0, 65535, torch.int32) 2025-06-05T23:26:40.0812259Z quantized_decomposed_dequantize_per_tensor_default_236: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_50, 0.0002779011847451329, 32770, 0, 65535, torch.int32) 2025-06-05T23:26:40.0814207Z quantized_decomposed_dequantize_per_tensor_default_237: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_50, 0.0002779011847451329, 32770, 0, 65535, torch.int32) 2025-06-05T23:26:40.0816172Z quantized_decomposed_dequantize_per_tensor_default_238: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_50, 0.0002779011847451329, 32770, 0, 65535, torch.int32) 2025-06-05T23:26:40.0818162Z quantized_decomposed_dequantize_per_tensor_default_239: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_50, 0.0002779011847451329, 32770, 0, 65535, torch.int32) 2025-06-05T23:26:40.0820126Z quantized_decomposed_dequantize_per_tensor_default_240: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_50, 0.0002779011847451329, 32770, 0, 65535, torch.int32) 2025-06-05T23:26:40.0822068Z quantized_decomposed_dequantize_per_tensor_default_241: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_50, 0.0002779011847451329, 32770, 0, 65535, torch.int32) 2025-06-05T23:26:40.0824050Z quantized_decomposed_dequantize_per_tensor_default_242: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_50, 0.0002779011847451329, 32770, 0, 65535, torch.int32) 2025-06-05T23:26:40.0826017Z quantized_decomposed_dequantize_per_tensor_default_243: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_50, 0.0002779011847451329, 32770, 0, 65535, torch.int32) 2025-06-05T23:26:40.0827969Z quantized_decomposed_dequantize_per_tensor_default_244: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_50, 0.0002779011847451329, 32770, 0, 65535, torch.int32) 2025-06-05T23:26:40.0829951Z quantized_decomposed_dequantize_per_tensor_default_245: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_50, 0.0002779011847451329, 32770, 0, 65535, torch.int32) 2025-06-05T23:26:40.0832212Z quantized_decomposed_dequantize_per_tensor_default_246: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_50, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_50 = None 2025-06-05T23:26:40.0833565Z 2025-06-05T23:26:40.0834350Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:511 in update, code: v_out = torch.ops.aten.index_put_(self.past_v_caches, [None, input_pos], v_val) 2025-06-05T23:26:40.0836491Z aten_index_put_default_1: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(quantized_decomposed_dequantize_per_tensor_default_115, [None, attn_options_input_pos], quantized_decomposed_dequantize_per_tensor_default_195); quantized_decomposed_dequantize_per_tensor_default_115 = quantized_decomposed_dequantize_per_tensor_default_195 = None 2025-06-05T23:26:40.0838827Z quantized_decomposed_quantize_per_tensor_default_51: "i32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_put_default_1, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_index_put_default_1 = None 2025-06-05T23:26:40.0839941Z 2025-06-05T23:26:40.0840848Z # File: .74:534 in forward, code: dequantize_per_tensor_default_200 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_200, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32) 2025-06-05T23:26:40.0842700Z quantized_decomposed_dequantize_per_tensor_default_247: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_51, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32) 2025-06-05T23:26:40.0843839Z 2025-06-05T23:26:40.0844610Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.0846306Z quantized_decomposed_dequantize_per_tensor_default_248: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_51, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32) 2025-06-05T23:26:40.0848274Z quantized_decomposed_dequantize_per_tensor_default_249: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_51, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32) 2025-06-05T23:26:40.0850279Z quantized_decomposed_dequantize_per_tensor_default_250: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_51, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32) 2025-06-05T23:26:40.0852241Z quantized_decomposed_dequantize_per_tensor_default_251: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_51, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32) 2025-06-05T23:26:40.0854205Z quantized_decomposed_dequantize_per_tensor_default_252: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_51, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32) 2025-06-05T23:26:40.0856204Z quantized_decomposed_dequantize_per_tensor_default_253: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_51, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32) 2025-06-05T23:26:40.0858177Z quantized_decomposed_dequantize_per_tensor_default_254: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_51, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32) 2025-06-05T23:26:40.0860148Z quantized_decomposed_dequantize_per_tensor_default_255: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_51, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32) 2025-06-05T23:26:40.0862167Z quantized_decomposed_dequantize_per_tensor_default_256: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_51, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32) 2025-06-05T23:26:40.0864137Z quantized_decomposed_dequantize_per_tensor_default_257: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_51, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32) 2025-06-05T23:26:40.0866108Z quantized_decomposed_dequantize_per_tensor_default_258: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_51, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32) 2025-06-05T23:26:40.0868307Z quantized_decomposed_dequantize_per_tensor_default_259: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_51, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_51 = None 2025-06-05T23:26:40.0869671Z 2025-06-05T23:26:40.0870434Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.0872049Z aten_permute_copy_default_7: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_246, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_246 = None 2025-06-05T23:26:40.0874057Z quantized_decomposed_quantize_per_tensor_default_52: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_7, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_permute_copy_default_7 = None 2025-06-05T23:26:40.0876351Z quantized_decomposed_dequantize_per_tensor_default_260: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_52, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_52 = None 2025-06-05T23:26:40.0878348Z aten_select_copy_int: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_260, 0, 0); quantized_decomposed_dequantize_per_tensor_default_260 = None 2025-06-05T23:26:40.0880069Z quantized_decomposed_quantize_per_tensor_default_53: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_select_copy_int = None 2025-06-05T23:26:40.0882238Z quantized_decomposed_dequantize_per_tensor_default_261: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_53, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_53 = None 2025-06-05T23:26:40.0884233Z aten_select_copy_int_1: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_261, 0, 0); quantized_decomposed_dequantize_per_tensor_default_261 = None 2025-06-05T23:26:40.0885958Z quantized_decomposed_quantize_per_tensor_default_54: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_1, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_select_copy_int_1 = None 2025-06-05T23:26:40.0887018Z 2025-06-05T23:26:40.0888116Z # File: .74:555 in forward, code: dequantize_per_tensor_default_203 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_203, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantize_per_tensor_default_203 = None 2025-06-05T23:26:40.0890334Z quantized_decomposed_dequantize_per_tensor_default_262: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_54, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_54 = None 2025-06-05T23:26:40.0891679Z 2025-06-05T23:26:40.0892435Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.0893996Z aten_permute_copy_default_8: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_245, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_245 = None 2025-06-05T23:26:40.0895899Z quantized_decomposed_quantize_per_tensor_default_55: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_8, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_permute_copy_default_8 = None 2025-06-05T23:26:40.0898098Z quantized_decomposed_dequantize_per_tensor_default_263: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_55, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_55 = None 2025-06-05T23:26:40.0900105Z aten_select_copy_int_2: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_263, 0, 0); quantized_decomposed_dequantize_per_tensor_default_263 = None 2025-06-05T23:26:40.0901880Z quantized_decomposed_quantize_per_tensor_default_56: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_2, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_select_copy_int_2 = None 2025-06-05T23:26:40.0904034Z quantized_decomposed_dequantize_per_tensor_default_264: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_56, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_56 = None 2025-06-05T23:26:40.0906036Z aten_select_copy_int_3: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_264, 0, 1); quantized_decomposed_dequantize_per_tensor_default_264 = None 2025-06-05T23:26:40.0907799Z quantized_decomposed_quantize_per_tensor_default_57: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_3, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_select_copy_int_3 = None 2025-06-05T23:26:40.0908879Z 2025-06-05T23:26:40.0909927Z # File: .74:564 in forward, code: dequantize_per_tensor_default_206 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_206, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantize_per_tensor_default_206 = None 2025-06-05T23:26:40.0912384Z quantized_decomposed_dequantize_per_tensor_default_265: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_57, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_57 = None 2025-06-05T23:26:40.0913736Z 2025-06-05T23:26:40.0914501Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.0916063Z aten_permute_copy_default_9: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_244, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_244 = None 2025-06-05T23:26:40.0917911Z quantized_decomposed_quantize_per_tensor_default_58: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_9, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_permute_copy_default_9 = None 2025-06-05T23:26:40.0920117Z quantized_decomposed_dequantize_per_tensor_default_266: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_58, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_58 = None 2025-06-05T23:26:40.0922316Z aten_select_copy_int_4: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_266, 0, 0); quantized_decomposed_dequantize_per_tensor_default_266 = None 2025-06-05T23:26:40.0924068Z quantized_decomposed_quantize_per_tensor_default_59: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_4, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_select_copy_int_4 = None 2025-06-05T23:26:40.0926216Z quantized_decomposed_dequantize_per_tensor_default_267: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_59, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_59 = None 2025-06-05T23:26:40.0928266Z aten_select_copy_int_5: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_267, 0, 2); quantized_decomposed_dequantize_per_tensor_default_267 = None 2025-06-05T23:26:40.0929995Z quantized_decomposed_quantize_per_tensor_default_60: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_5, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_select_copy_int_5 = None 2025-06-05T23:26:40.0931068Z 2025-06-05T23:26:40.0932116Z # File: .74:573 in forward, code: dequantize_per_tensor_default_209 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_209, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantize_per_tensor_default_209 = None 2025-06-05T23:26:40.0934350Z quantized_decomposed_dequantize_per_tensor_default_268: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_60, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_60 = None 2025-06-05T23:26:40.0935691Z 2025-06-05T23:26:40.0936449Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.0938005Z aten_permute_copy_default_10: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_243, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_243 = None 2025-06-05T23:26:40.0939889Z quantized_decomposed_quantize_per_tensor_default_61: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_10, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_permute_copy_default_10 = None 2025-06-05T23:26:40.0942080Z quantized_decomposed_dequantize_per_tensor_default_269: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_61, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_61 = None 2025-06-05T23:26:40.0944084Z aten_select_copy_int_6: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_269, 0, 0); quantized_decomposed_dequantize_per_tensor_default_269 = None 2025-06-05T23:26:40.0945829Z quantized_decomposed_quantize_per_tensor_default_62: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_6, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_select_copy_int_6 = None 2025-06-05T23:26:40.0948029Z quantized_decomposed_dequantize_per_tensor_default_270: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_62, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_62 = None 2025-06-05T23:26:40.0950009Z aten_select_copy_int_7: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_270, 0, 3); quantized_decomposed_dequantize_per_tensor_default_270 = None 2025-06-05T23:26:40.0951809Z quantized_decomposed_quantize_per_tensor_default_63: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_7, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_select_copy_int_7 = None 2025-06-05T23:26:40.0952885Z 2025-06-05T23:26:40.0953961Z # File: .74:582 in forward, code: dequantize_per_tensor_default_212 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_212, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantize_per_tensor_default_212 = None 2025-06-05T23:26:40.0956172Z quantized_decomposed_dequantize_per_tensor_default_271: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_63, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_63 = None 2025-06-05T23:26:40.0957513Z 2025-06-05T23:26:40.0958267Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.0959868Z aten_permute_copy_default_11: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_242, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_242 = None 2025-06-05T23:26:40.0961723Z quantized_decomposed_quantize_per_tensor_default_64: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_11, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_permute_copy_default_11 = None 2025-06-05T23:26:40.0963955Z quantized_decomposed_dequantize_per_tensor_default_272: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_64, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_64 = None 2025-06-05T23:26:40.0965956Z aten_select_copy_int_8: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_272, 0, 0); quantized_decomposed_dequantize_per_tensor_default_272 = None 2025-06-05T23:26:40.0967691Z quantized_decomposed_quantize_per_tensor_default_65: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_8, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_select_copy_int_8 = None 2025-06-05T23:26:40.0969841Z quantized_decomposed_dequantize_per_tensor_default_273: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_65, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_65 = None 2025-06-05T23:26:40.0971830Z aten_select_copy_int_9: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_273, 0, 4); quantized_decomposed_dequantize_per_tensor_default_273 = None 2025-06-05T23:26:40.0973755Z quantized_decomposed_quantize_per_tensor_default_66: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_9, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_select_copy_int_9 = None 2025-06-05T23:26:40.0974830Z 2025-06-05T23:26:40.0975877Z # File: .74:591 in forward, code: dequantize_per_tensor_default_215 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_215, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantize_per_tensor_default_215 = None 2025-06-05T23:26:40.0978165Z quantized_decomposed_dequantize_per_tensor_default_274: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_66, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_66 = None 2025-06-05T23:26:40.0979524Z 2025-06-05T23:26:40.0980276Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.0981831Z aten_permute_copy_default_12: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_241, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_241 = None 2025-06-05T23:26:40.0983705Z quantized_decomposed_quantize_per_tensor_default_67: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_12, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_permute_copy_default_12 = None 2025-06-05T23:26:40.0985957Z quantized_decomposed_dequantize_per_tensor_default_275: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_67, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_67 = None 2025-06-05T23:26:40.0987965Z aten_select_copy_int_10: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_275, 0, 0); quantized_decomposed_dequantize_per_tensor_default_275 = None 2025-06-05T23:26:40.0989755Z quantized_decomposed_quantize_per_tensor_default_68: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_10, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_select_copy_int_10 = None 2025-06-05T23:26:40.0991978Z quantized_decomposed_dequantize_per_tensor_default_276: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_68, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_68 = None 2025-06-05T23:26:40.0993964Z aten_select_copy_int_11: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_276, 0, 5); quantized_decomposed_dequantize_per_tensor_default_276 = None 2025-06-05T23:26:40.0995718Z quantized_decomposed_quantize_per_tensor_default_69: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_11, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_select_copy_int_11 = None 2025-06-05T23:26:40.0996809Z 2025-06-05T23:26:40.0997863Z # File: .74:600 in forward, code: dequantize_per_tensor_default_218 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_218, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantize_per_tensor_default_218 = None 2025-06-05T23:26:40.1000109Z quantized_decomposed_dequantize_per_tensor_default_277: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_69, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_69 = None 2025-06-05T23:26:40.1001456Z 2025-06-05T23:26:40.1002214Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.1003778Z aten_permute_copy_default_13: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_240, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_240 = None 2025-06-05T23:26:40.1005664Z quantized_decomposed_quantize_per_tensor_default_70: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_13, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_permute_copy_default_13 = None 2025-06-05T23:26:40.1007864Z quantized_decomposed_dequantize_per_tensor_default_278: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_70, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_70 = None 2025-06-05T23:26:40.1009863Z aten_select_copy_int_12: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_278, 0, 0); quantized_decomposed_dequantize_per_tensor_default_278 = None 2025-06-05T23:26:40.1011638Z quantized_decomposed_quantize_per_tensor_default_71: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_12, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_select_copy_int_12 = None 2025-06-05T23:26:40.1013802Z quantized_decomposed_dequantize_per_tensor_default_279: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_71, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_71 = None 2025-06-05T23:26:40.1015813Z aten_select_copy_int_13: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_279, 0, 6); quantized_decomposed_dequantize_per_tensor_default_279 = None 2025-06-05T23:26:40.1017570Z quantized_decomposed_quantize_per_tensor_default_72: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_13, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_select_copy_int_13 = None 2025-06-05T23:26:40.1018655Z 2025-06-05T23:26:40.1019702Z # File: .74:609 in forward, code: dequantize_per_tensor_default_221 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_221, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantize_per_tensor_default_221 = None 2025-06-05T23:26:40.1021909Z quantized_decomposed_dequantize_per_tensor_default_280: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_72, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_72 = None 2025-06-05T23:26:40.1023249Z 2025-06-05T23:26:40.1024033Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.1025591Z aten_permute_copy_default_14: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_239, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_239 = None 2025-06-05T23:26:40.1027446Z quantized_decomposed_quantize_per_tensor_default_73: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_14, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_permute_copy_default_14 = None 2025-06-05T23:26:40.1029680Z quantized_decomposed_dequantize_per_tensor_default_281: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_73, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_73 = None 2025-06-05T23:26:40.1031758Z aten_select_copy_int_14: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_281, 0, 0); quantized_decomposed_dequantize_per_tensor_default_281 = None 2025-06-05T23:26:40.1033516Z quantized_decomposed_quantize_per_tensor_default_74: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_14, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_select_copy_int_14 = None 2025-06-05T23:26:40.1035688Z quantized_decomposed_dequantize_per_tensor_default_282: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_74, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_74 = None 2025-06-05T23:26:40.1037726Z aten_select_copy_int_15: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_282, 0, 7); quantized_decomposed_dequantize_per_tensor_default_282 = None 2025-06-05T23:26:40.1039447Z quantized_decomposed_quantize_per_tensor_default_75: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_15, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_select_copy_int_15 = None 2025-06-05T23:26:40.1040524Z 2025-06-05T23:26:40.1041605Z # File: .74:618 in forward, code: dequantize_per_tensor_default_224 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_224, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantize_per_tensor_default_224 = None 2025-06-05T23:26:40.1043803Z quantized_decomposed_dequantize_per_tensor_default_283: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_75, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_75 = None 2025-06-05T23:26:40.1045146Z 2025-06-05T23:26:40.1045912Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.1047456Z aten_permute_copy_default_15: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_238, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_238 = None 2025-06-05T23:26:40.1049309Z quantized_decomposed_quantize_per_tensor_default_76: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_15, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_permute_copy_default_15 = None 2025-06-05T23:26:40.1051542Z quantized_decomposed_dequantize_per_tensor_default_284: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_76, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_76 = None 2025-06-05T23:26:40.1053537Z aten_select_copy_int_16: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_284, 0, 0); quantized_decomposed_dequantize_per_tensor_default_284 = None 2025-06-05T23:26:40.1055319Z quantized_decomposed_quantize_per_tensor_default_77: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_16, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_select_copy_int_16 = None 2025-06-05T23:26:40.1057478Z quantized_decomposed_dequantize_per_tensor_default_285: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_77, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_77 = None 2025-06-05T23:26:40.1059472Z aten_select_copy_int_17: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_285, 0, 8); quantized_decomposed_dequantize_per_tensor_default_285 = None 2025-06-05T23:26:40.1061195Z quantized_decomposed_quantize_per_tensor_default_78: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_17, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_select_copy_int_17 = None 2025-06-05T23:26:40.1062297Z 2025-06-05T23:26:40.1063365Z # File: .74:627 in forward, code: dequantize_per_tensor_default_227 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_227, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantize_per_tensor_default_227 = None 2025-06-05T23:26:40.1065554Z quantized_decomposed_dequantize_per_tensor_default_286: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_78, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_78 = None 2025-06-05T23:26:40.1066892Z 2025-06-05T23:26:40.1067685Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.1069236Z aten_permute_copy_default_16: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_237, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_237 = None 2025-06-05T23:26:40.1071144Z quantized_decomposed_quantize_per_tensor_default_79: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_16, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_permute_copy_default_16 = None 2025-06-05T23:26:40.1073569Z quantized_decomposed_dequantize_per_tensor_default_287: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_79, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_79 = None 2025-06-05T23:26:40.1075658Z aten_select_copy_int_18: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_287, 0, 0); quantized_decomposed_dequantize_per_tensor_default_287 = None 2025-06-05T23:26:40.1077407Z quantized_decomposed_quantize_per_tensor_default_80: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_18, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_select_copy_int_18 = None 2025-06-05T23:26:40.1079575Z quantized_decomposed_dequantize_per_tensor_default_288: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_80, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_80 = None 2025-06-05T23:26:40.1081613Z aten_select_copy_int_19: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_288, 0, 9); quantized_decomposed_dequantize_per_tensor_default_288 = None 2025-06-05T23:26:40.1083349Z quantized_decomposed_quantize_per_tensor_default_81: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_19, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_select_copy_int_19 = None 2025-06-05T23:26:40.1084431Z 2025-06-05T23:26:40.1085489Z # File: .74:636 in forward, code: dequantize_per_tensor_default_230 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_230, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantize_per_tensor_default_230 = None 2025-06-05T23:26:40.1087679Z quantized_decomposed_dequantize_per_tensor_default_289: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_81, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_81 = None 2025-06-05T23:26:40.1089058Z 2025-06-05T23:26:40.1089819Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.1091368Z aten_permute_copy_default_17: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_236, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_236 = None 2025-06-05T23:26:40.1093254Z quantized_decomposed_quantize_per_tensor_default_82: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_17, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_permute_copy_default_17 = None 2025-06-05T23:26:40.1095470Z quantized_decomposed_dequantize_per_tensor_default_290: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_82, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_82 = None 2025-06-05T23:26:40.1097473Z aten_select_copy_int_20: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_290, 0, 0); quantized_decomposed_dequantize_per_tensor_default_290 = None 2025-06-05T23:26:40.1099200Z quantized_decomposed_quantize_per_tensor_default_83: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_20, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_select_copy_int_20 = None 2025-06-05T23:26:40.1101366Z quantized_decomposed_dequantize_per_tensor_default_291: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_83, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_83 = None 2025-06-05T23:26:40.1103386Z aten_select_copy_int_21: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_291, 0, 10); quantized_decomposed_dequantize_per_tensor_default_291 = None 2025-06-05T23:26:40.1105111Z quantized_decomposed_quantize_per_tensor_default_84: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_21, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_select_copy_int_21 = None 2025-06-05T23:26:40.1106194Z 2025-06-05T23:26:40.1107278Z # File: .74:645 in forward, code: dequantize_per_tensor_default_233 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_233, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantize_per_tensor_default_233 = None 2025-06-05T23:26:40.1109472Z quantized_decomposed_dequantize_per_tensor_default_292: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_84, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_84 = None 2025-06-05T23:26:40.1110878Z 2025-06-05T23:26:40.1111651Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.1113197Z aten_permute_copy_default_18: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_235, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_235 = None 2025-06-05T23:26:40.1115079Z quantized_decomposed_quantize_per_tensor_default_85: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_18, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_permute_copy_default_18 = None 2025-06-05T23:26:40.1117286Z quantized_decomposed_dequantize_per_tensor_default_293: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_85, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_85 = None 2025-06-05T23:26:40.1119307Z aten_select_copy_int_22: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_293, 0, 0); quantized_decomposed_dequantize_per_tensor_default_293 = None 2025-06-05T23:26:40.1121051Z quantized_decomposed_quantize_per_tensor_default_86: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_22, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_select_copy_int_22 = None 2025-06-05T23:26:40.1123218Z quantized_decomposed_dequantize_per_tensor_default_294: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_86, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_86 = None 2025-06-05T23:26:40.1125217Z aten_select_copy_int_23: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_294, 0, 11); quantized_decomposed_dequantize_per_tensor_default_294 = None 2025-06-05T23:26:40.1126977Z quantized_decomposed_quantize_per_tensor_default_87: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_23, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_select_copy_int_23 = None 2025-06-05T23:26:40.1128064Z 2025-06-05T23:26:40.1129123Z # File: .74:654 in forward, code: dequantize_per_tensor_default_236 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_236, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantize_per_tensor_default_236 = None 2025-06-05T23:26:40.1131316Z quantized_decomposed_dequantize_per_tensor_default_295: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_87, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_87 = None 2025-06-05T23:26:40.1132668Z 2025-06-05T23:26:40.1133461Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.1139812Z aten_cat_default_2: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([quantized_decomposed_dequantize_per_tensor_default_262, quantized_decomposed_dequantize_per_tensor_default_265, quantized_decomposed_dequantize_per_tensor_default_268, quantized_decomposed_dequantize_per_tensor_default_271, quantized_decomposed_dequantize_per_tensor_default_274, quantized_decomposed_dequantize_per_tensor_default_277, quantized_decomposed_dequantize_per_tensor_default_280, quantized_decomposed_dequantize_per_tensor_default_283, quantized_decomposed_dequantize_per_tensor_default_286, quantized_decomposed_dequantize_per_tensor_default_289, quantized_decomposed_dequantize_per_tensor_default_292, quantized_decomposed_dequantize_per_tensor_default_295]); quantized_decomposed_dequantize_per_tensor_default_262 = quantized_decomposed_dequantize_per_tensor_default_265 = quantized_decomposed_dequantize_per_tensor_default_268 = quantized_decomposed_dequantize_per_tensor_default_271 = quantized_decomposed_dequantize_per_tensor_default_274 = quantized_decomposed_dequantize_per_tensor_default_277 = quantized_decomposed_dequantize_per_tensor_default_280 = quantized_decomposed_dequantize_per_tensor_default_283 = quantized_decomposed_dequantize_per_tensor_default_286 = quantized_decomposed_dequantize_per_tensor_default_289 = quantized_decomposed_dequantize_per_tensor_default_292 = quantized_decomposed_dequantize_per_tensor_default_295 = None 2025-06-05T23:26:40.1146577Z quantized_decomposed_quantize_per_tensor_default_88: "i32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_2, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_cat_default_2 = None 2025-06-05T23:26:40.1148727Z quantized_decomposed_dequantize_per_tensor_default_296: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_88, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_88 = None 2025-06-05T23:26:40.1150781Z aten_view_copy_default_9: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_296, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_296 = None 2025-06-05T23:26:40.1152650Z quantized_decomposed_quantize_per_tensor_default_89: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_9, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_view_copy_default_9 = None 2025-06-05T23:26:40.1153752Z 2025-06-05T23:26:40.1154502Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:324 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-06-05T23:26:40.1156336Z quantized_decomposed_dequantize_per_tensor_default_297: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_89, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_89 = None 2025-06-05T23:26:40.1157680Z 2025-06-05T23:26:40.1158436Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.1159981Z aten_permute_copy_default_19: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_259, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_259 = None 2025-06-05T23:26:40.1161862Z quantized_decomposed_quantize_per_tensor_default_90: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_19, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_permute_copy_default_19 = None 2025-06-05T23:26:40.1164070Z quantized_decomposed_dequantize_per_tensor_default_298: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_90, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_90 = None 2025-06-05T23:26:40.1166062Z aten_select_copy_int_24: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_298, 0, 0); quantized_decomposed_dequantize_per_tensor_default_298 = None 2025-06-05T23:26:40.1167867Z quantized_decomposed_quantize_per_tensor_default_91: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_24, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_select_copy_int_24 = None 2025-06-05T23:26:40.1170038Z quantized_decomposed_dequantize_per_tensor_default_299: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_91, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_91 = None 2025-06-05T23:26:40.1172066Z aten_select_copy_int_25: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_299, 0, 0); quantized_decomposed_dequantize_per_tensor_default_299 = None 2025-06-05T23:26:40.1173934Z quantized_decomposed_quantize_per_tensor_default_92: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_25, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_select_copy_int_25 = None 2025-06-05T23:26:40.1175023Z 2025-06-05T23:26:40.1176084Z # File: .74:669 in forward, code: dequantize_per_tensor_default_241 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_241, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantize_per_tensor_default_241 = None 2025-06-05T23:26:40.1178282Z quantized_decomposed_dequantize_per_tensor_default_300: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_92, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_92 = None 2025-06-05T23:26:40.1179628Z 2025-06-05T23:26:40.1180459Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.1182002Z aten_permute_copy_default_20: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_258, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_258 = None 2025-06-05T23:26:40.1183855Z quantized_decomposed_quantize_per_tensor_default_93: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_20, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_permute_copy_default_20 = None 2025-06-05T23:26:40.1186098Z quantized_decomposed_dequantize_per_tensor_default_301: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_93, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_93 = None 2025-06-05T23:26:40.1188110Z aten_select_copy_int_26: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_301, 0, 0); quantized_decomposed_dequantize_per_tensor_default_301 = None 2025-06-05T23:26:40.1189850Z quantized_decomposed_quantize_per_tensor_default_94: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_26, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_select_copy_int_26 = None 2025-06-05T23:26:40.1192062Z quantized_decomposed_dequantize_per_tensor_default_302: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_94, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_94 = None 2025-06-05T23:26:40.1194106Z aten_select_copy_int_27: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_302, 0, 1); quantized_decomposed_dequantize_per_tensor_default_302 = None 2025-06-05T23:26:40.1195828Z quantized_decomposed_quantize_per_tensor_default_95: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_27, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_select_copy_int_27 = None 2025-06-05T23:26:40.1196914Z 2025-06-05T23:26:40.1198010Z # File: .74:678 in forward, code: dequantize_per_tensor_default_244 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_244, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantize_per_tensor_default_244 = None 2025-06-05T23:26:40.1200213Z quantized_decomposed_dequantize_per_tensor_default_303: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_95, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_95 = None 2025-06-05T23:26:40.1201557Z 2025-06-05T23:26:40.1202329Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.1203879Z aten_permute_copy_default_21: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_257, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_257 = None 2025-06-05T23:26:40.1205747Z quantized_decomposed_quantize_per_tensor_default_96: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_21, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_permute_copy_default_21 = None 2025-06-05T23:26:40.1207979Z quantized_decomposed_dequantize_per_tensor_default_304: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_96, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_96 = None 2025-06-05T23:26:40.1209990Z aten_select_copy_int_28: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_304, 0, 0); quantized_decomposed_dequantize_per_tensor_default_304 = None 2025-06-05T23:26:40.1211753Z quantized_decomposed_quantize_per_tensor_default_97: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_28, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_select_copy_int_28 = None 2025-06-05T23:26:40.1213917Z quantized_decomposed_dequantize_per_tensor_default_305: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_97, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_97 = None 2025-06-05T23:26:40.1215908Z aten_select_copy_int_29: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_305, 0, 2); quantized_decomposed_dequantize_per_tensor_default_305 = None 2025-06-05T23:26:40.1217633Z quantized_decomposed_quantize_per_tensor_default_98: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_29, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_select_copy_int_29 = None 2025-06-05T23:26:40.1218755Z 2025-06-05T23:26:40.1219814Z # File: .74:687 in forward, code: dequantize_per_tensor_default_247 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_247, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantize_per_tensor_default_247 = None 2025-06-05T23:26:40.1222010Z quantized_decomposed_dequantize_per_tensor_default_306: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_98, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_98 = None 2025-06-05T23:26:40.1223348Z 2025-06-05T23:26:40.1224132Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.1225688Z aten_permute_copy_default_22: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_256, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_256 = None 2025-06-05T23:26:40.1227536Z quantized_decomposed_quantize_per_tensor_default_99: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_22, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_permute_copy_default_22 = None 2025-06-05T23:26:40.1229746Z quantized_decomposed_dequantize_per_tensor_default_307: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_99, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_99 = None 2025-06-05T23:26:40.1231859Z aten_select_copy_int_30: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_307, 0, 0); quantized_decomposed_dequantize_per_tensor_default_307 = None 2025-06-05T23:26:40.1233612Z quantized_decomposed_quantize_per_tensor_default_100: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_30, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_select_copy_int_30 = None 2025-06-05T23:26:40.1235800Z quantized_decomposed_dequantize_per_tensor_default_308: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_100, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_100 = None 2025-06-05T23:26:40.1237846Z aten_select_copy_int_31: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_308, 0, 3); quantized_decomposed_dequantize_per_tensor_default_308 = None 2025-06-05T23:26:40.1239595Z quantized_decomposed_quantize_per_tensor_default_101: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_31, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_select_copy_int_31 = None 2025-06-05T23:26:40.1240671Z 2025-06-05T23:26:40.1241732Z # File: .74:696 in forward, code: dequantize_per_tensor_default_250 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_250, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantize_per_tensor_default_250 = None 2025-06-05T23:26:40.1243943Z quantized_decomposed_dequantize_per_tensor_default_309: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_101, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_101 = None 2025-06-05T23:26:40.1245296Z 2025-06-05T23:26:40.1246063Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.1247626Z aten_permute_copy_default_23: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_255, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_255 = None 2025-06-05T23:26:40.1249506Z quantized_decomposed_quantize_per_tensor_default_102: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_23, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_permute_copy_default_23 = None 2025-06-05T23:26:40.1251733Z quantized_decomposed_dequantize_per_tensor_default_310: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_102, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_102 = None 2025-06-05T23:26:40.1253744Z aten_select_copy_int_32: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_310, 0, 0); quantized_decomposed_dequantize_per_tensor_default_310 = None 2025-06-05T23:26:40.1255485Z quantized_decomposed_quantize_per_tensor_default_103: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_32, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_select_copy_int_32 = None 2025-06-05T23:26:40.1257675Z quantized_decomposed_dequantize_per_tensor_default_311: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_103, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_103 = None 2025-06-05T23:26:40.1259676Z aten_select_copy_int_33: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_311, 0, 4); quantized_decomposed_dequantize_per_tensor_default_311 = None 2025-06-05T23:26:40.1261421Z quantized_decomposed_quantize_per_tensor_default_104: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_33, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_select_copy_int_33 = None 2025-06-05T23:26:40.1262491Z 2025-06-05T23:26:40.1263574Z # File: .74:705 in forward, code: dequantize_per_tensor_default_253 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_253, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantize_per_tensor_default_253 = None 2025-06-05T23:26:40.1265788Z quantized_decomposed_dequantize_per_tensor_default_312: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_104, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_104 = None 2025-06-05T23:26:40.1267133Z 2025-06-05T23:26:40.1267901Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.1269494Z aten_permute_copy_default_24: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_254, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_254 = None 2025-06-05T23:26:40.1271396Z quantized_decomposed_quantize_per_tensor_default_105: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_24, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_permute_copy_default_24 = None 2025-06-05T23:26:40.1273765Z quantized_decomposed_dequantize_per_tensor_default_313: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_105, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_105 = None 2025-06-05T23:26:40.1275844Z aten_select_copy_int_34: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_313, 0, 0); quantized_decomposed_dequantize_per_tensor_default_313 = None 2025-06-05T23:26:40.1277609Z quantized_decomposed_quantize_per_tensor_default_106: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_34, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_select_copy_int_34 = None 2025-06-05T23:26:40.1279777Z quantized_decomposed_dequantize_per_tensor_default_314: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_106, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_106 = None 2025-06-05T23:26:40.1281788Z aten_select_copy_int_35: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_314, 0, 5); quantized_decomposed_dequantize_per_tensor_default_314 = None 2025-06-05T23:26:40.1283584Z quantized_decomposed_quantize_per_tensor_default_107: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_35, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_select_copy_int_35 = None 2025-06-05T23:26:40.1284659Z 2025-06-05T23:26:40.1285723Z # File: .74:714 in forward, code: dequantize_per_tensor_default_256 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_256, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantize_per_tensor_default_256 = None 2025-06-05T23:26:40.1287931Z quantized_decomposed_dequantize_per_tensor_default_315: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_107, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_107 = None 2025-06-05T23:26:40.1289269Z 2025-06-05T23:26:40.1290089Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.1291651Z aten_permute_copy_default_25: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_253, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_253 = None 2025-06-05T23:26:40.1293499Z quantized_decomposed_quantize_per_tensor_default_108: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_25, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_permute_copy_default_25 = None 2025-06-05T23:26:40.1295757Z quantized_decomposed_dequantize_per_tensor_default_316: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_108, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_108 = None 2025-06-05T23:26:40.1297775Z aten_select_copy_int_36: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_316, 0, 0); quantized_decomposed_dequantize_per_tensor_default_316 = None 2025-06-05T23:26:40.1299520Z quantized_decomposed_quantize_per_tensor_default_109: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_36, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_select_copy_int_36 = None 2025-06-05T23:26:40.1301728Z quantized_decomposed_dequantize_per_tensor_default_317: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_109, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_109 = None 2025-06-05T23:26:40.1303739Z aten_select_copy_int_37: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_317, 0, 6); quantized_decomposed_dequantize_per_tensor_default_317 = None 2025-06-05T23:26:40.1305487Z quantized_decomposed_quantize_per_tensor_default_110: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_37, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_select_copy_int_37 = None 2025-06-05T23:26:40.1306557Z 2025-06-05T23:26:40.1307624Z # File: .74:723 in forward, code: dequantize_per_tensor_default_259 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_259, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantize_per_tensor_default_259 = None 2025-06-05T23:26:40.1309873Z quantized_decomposed_dequantize_per_tensor_default_318: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_110, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_110 = None 2025-06-05T23:26:40.1311293Z 2025-06-05T23:26:40.1312060Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.1313620Z aten_permute_copy_default_26: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_252, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_252 = None 2025-06-05T23:26:40.1315498Z quantized_decomposed_quantize_per_tensor_default_111: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_26, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_permute_copy_default_26 = None 2025-06-05T23:26:40.1317730Z quantized_decomposed_dequantize_per_tensor_default_319: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_111, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_111 = None 2025-06-05T23:26:40.1319765Z aten_select_copy_int_38: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_319, 0, 0); quantized_decomposed_dequantize_per_tensor_default_319 = None 2025-06-05T23:26:40.1321534Z quantized_decomposed_quantize_per_tensor_default_112: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_38, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_select_copy_int_38 = None 2025-06-05T23:26:40.1323709Z quantized_decomposed_dequantize_per_tensor_default_320: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_112, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_112 = None 2025-06-05T23:26:40.1325707Z aten_select_copy_int_39: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_320, 0, 7); quantized_decomposed_dequantize_per_tensor_default_320 = None 2025-06-05T23:26:40.1327477Z quantized_decomposed_quantize_per_tensor_default_113: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_39, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_select_copy_int_39 = None 2025-06-05T23:26:40.1328563Z 2025-06-05T23:26:40.1329617Z # File: .74:732 in forward, code: dequantize_per_tensor_default_262 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_262, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantize_per_tensor_default_262 = None 2025-06-05T23:26:40.1331830Z quantized_decomposed_dequantize_per_tensor_default_321: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_113, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_113 = None 2025-06-05T23:26:40.1333188Z 2025-06-05T23:26:40.1333949Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.1335536Z aten_permute_copy_default_27: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_251, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_251 = None 2025-06-05T23:26:40.1337398Z quantized_decomposed_quantize_per_tensor_default_114: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_27, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_permute_copy_default_27 = None 2025-06-05T23:26:40.1339638Z quantized_decomposed_dequantize_per_tensor_default_322: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_114, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_114 = None 2025-06-05T23:26:40.1341666Z aten_select_copy_int_40: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_322, 0, 0); quantized_decomposed_dequantize_per_tensor_default_322 = None 2025-06-05T23:26:40.1343418Z quantized_decomposed_quantize_per_tensor_default_115: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_40, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_select_copy_int_40 = None 2025-06-05T23:26:40.1345597Z quantized_decomposed_dequantize_per_tensor_default_323: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_115, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_115 = None 2025-06-05T23:26:40.1347636Z aten_select_copy_int_41: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_323, 0, 8); quantized_decomposed_dequantize_per_tensor_default_323 = None 2025-06-05T23:26:40.1349389Z quantized_decomposed_quantize_per_tensor_default_116: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_41, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_select_copy_int_41 = None 2025-06-05T23:26:40.1350482Z 2025-06-05T23:26:40.1351608Z # File: .74:741 in forward, code: dequantize_per_tensor_default_265 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_265, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantize_per_tensor_default_265 = None 2025-06-05T23:26:40.1353826Z quantized_decomposed_dequantize_per_tensor_default_324: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_116, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_116 = None 2025-06-05T23:26:40.1355175Z 2025-06-05T23:26:40.1355936Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.1357498Z aten_permute_copy_default_28: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_250, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_250 = None 2025-06-05T23:26:40.1359364Z quantized_decomposed_quantize_per_tensor_default_117: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_28, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_permute_copy_default_28 = None 2025-06-05T23:26:40.1361596Z quantized_decomposed_dequantize_per_tensor_default_325: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_117, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_117 = None 2025-06-05T23:26:40.1363598Z aten_select_copy_int_42: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_325, 0, 0); quantized_decomposed_dequantize_per_tensor_default_325 = None 2025-06-05T23:26:40.1365351Z quantized_decomposed_quantize_per_tensor_default_118: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_42, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_select_copy_int_42 = None 2025-06-05T23:26:40.1367536Z quantized_decomposed_dequantize_per_tensor_default_326: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_118, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_118 = None 2025-06-05T23:26:40.1369531Z aten_select_copy_int_43: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_326, 0, 9); quantized_decomposed_dequantize_per_tensor_default_326 = None 2025-06-05T23:26:40.1371272Z quantized_decomposed_quantize_per_tensor_default_119: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_43, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_select_copy_int_43 = None 2025-06-05T23:26:40.1372380Z 2025-06-05T23:26:40.1373576Z # File: .74:750 in forward, code: dequantize_per_tensor_default_268 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_268, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantize_per_tensor_default_268 = None 2025-06-05T23:26:40.1375788Z quantized_decomposed_dequantize_per_tensor_default_327: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_119, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_119 = None 2025-06-05T23:26:40.1377129Z 2025-06-05T23:26:40.1377963Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.1379532Z aten_permute_copy_default_29: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_249, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_249 = None 2025-06-05T23:26:40.1381390Z quantized_decomposed_quantize_per_tensor_default_120: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_29, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_permute_copy_default_29 = None 2025-06-05T23:26:40.1383632Z quantized_decomposed_dequantize_per_tensor_default_328: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_120, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_120 = None 2025-06-05T23:26:40.1385635Z aten_select_copy_int_44: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_328, 0, 0); quantized_decomposed_dequantize_per_tensor_default_328 = None 2025-06-05T23:26:40.1387426Z quantized_decomposed_quantize_per_tensor_default_121: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_44, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_select_copy_int_44 = None 2025-06-05T23:26:40.1389592Z quantized_decomposed_dequantize_per_tensor_default_329: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_121, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_121 = None 2025-06-05T23:26:40.1391683Z aten_select_copy_int_45: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_329, 0, 10); quantized_decomposed_dequantize_per_tensor_default_329 = None 2025-06-05T23:26:40.1393434Z quantized_decomposed_quantize_per_tensor_default_122: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_45, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_select_copy_int_45 = None 2025-06-05T23:26:40.1394515Z 2025-06-05T23:26:40.1395563Z # File: .74:759 in forward, code: dequantize_per_tensor_default_271 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_271, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantize_per_tensor_default_271 = None 2025-06-05T23:26:40.1397782Z quantized_decomposed_dequantize_per_tensor_default_330: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_122, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_122 = None 2025-06-05T23:26:40.1399166Z 2025-06-05T23:26:40.1399923Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.1401485Z aten_permute_copy_default_30: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_248, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_248 = None 2025-06-05T23:26:40.1403364Z quantized_decomposed_quantize_per_tensor_default_123: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_30, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_permute_copy_default_30 = None 2025-06-05T23:26:40.1405615Z quantized_decomposed_dequantize_per_tensor_default_331: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_123, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_123 = None 2025-06-05T23:26:40.1407612Z aten_select_copy_int_46: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_331, 0, 0); quantized_decomposed_dequantize_per_tensor_default_331 = None 2025-06-05T23:26:40.1409360Z quantized_decomposed_quantize_per_tensor_default_124: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_46, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_select_copy_int_46 = None 2025-06-05T23:26:40.1411550Z quantized_decomposed_dequantize_per_tensor_default_332: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_124, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_124 = None 2025-06-05T23:26:40.1413586Z aten_select_copy_int_47: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_332, 0, 11); quantized_decomposed_dequantize_per_tensor_default_332 = None 2025-06-05T23:26:40.1415313Z quantized_decomposed_quantize_per_tensor_default_125: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_47, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_select_copy_int_47 = None 2025-06-05T23:26:40.1416396Z 2025-06-05T23:26:40.1417482Z # File: .74:768 in forward, code: dequantize_per_tensor_default_274 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_274, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantize_per_tensor_default_274 = None 2025-06-05T23:26:40.1419686Z quantized_decomposed_dequantize_per_tensor_default_333: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_125, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_125 = None 2025-06-05T23:26:40.1421030Z 2025-06-05T23:26:40.1421796Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.1428112Z aten_cat_default_3: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([quantized_decomposed_dequantize_per_tensor_default_300, quantized_decomposed_dequantize_per_tensor_default_303, quantized_decomposed_dequantize_per_tensor_default_306, quantized_decomposed_dequantize_per_tensor_default_309, quantized_decomposed_dequantize_per_tensor_default_312, quantized_decomposed_dequantize_per_tensor_default_315, quantized_decomposed_dequantize_per_tensor_default_318, quantized_decomposed_dequantize_per_tensor_default_321, quantized_decomposed_dequantize_per_tensor_default_324, quantized_decomposed_dequantize_per_tensor_default_327, quantized_decomposed_dequantize_per_tensor_default_330, quantized_decomposed_dequantize_per_tensor_default_333]); quantized_decomposed_dequantize_per_tensor_default_300 = quantized_decomposed_dequantize_per_tensor_default_303 = quantized_decomposed_dequantize_per_tensor_default_306 = quantized_decomposed_dequantize_per_tensor_default_309 = quantized_decomposed_dequantize_per_tensor_default_312 = quantized_decomposed_dequantize_per_tensor_default_315 = quantized_decomposed_dequantize_per_tensor_default_318 = quantized_decomposed_dequantize_per_tensor_default_321 = quantized_decomposed_dequantize_per_tensor_default_324 = quantized_decomposed_dequantize_per_tensor_default_327 = quantized_decomposed_dequantize_per_tensor_default_330 = quantized_decomposed_dequantize_per_tensor_default_333 = None 2025-06-05T23:26:40.1434928Z quantized_decomposed_quantize_per_tensor_default_126: "i32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_3, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_cat_default_3 = None 2025-06-05T23:26:40.1437074Z quantized_decomposed_dequantize_per_tensor_default_334: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_126, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_126 = None 2025-06-05T23:26:40.1439135Z aten_view_copy_default_10: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_334, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_334 = None 2025-06-05T23:26:40.1440985Z quantized_decomposed_quantize_per_tensor_default_127: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_10, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_view_copy_default_10 = None 2025-06-05T23:26:40.1442078Z 2025-06-05T23:26:40.1443143Z # File: .74:774 in forward, code: dequantize_per_tensor_default_276 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_276, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantize_per_tensor_default_276 = None 2025-06-05T23:26:40.1445415Z quantized_decomposed_dequantize_per_tensor_default_335: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_127, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_127 = None 2025-06-05T23:26:40.1446761Z 2025-06-05T23:26:40.1447820Z # File: .74:775 in forward, code: quantize_per_tensor_default_277 = torch.ops.quantized_decomposed.quantize_per_tensor.default(dequantize_per_tensor_default_276, 2.6003737730206922e-05, 0, -32767, 32767, torch.int16); dequantize_per_tensor_default_276 = None 2025-06-05T23:26:40.1450040Z quantized_decomposed_quantize_per_tensor_default_128: "i16[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_335, 2.6003737730206922e-05, 0, -32767, 32767, torch.int16); quantized_decomposed_dequantize_per_tensor_default_335 = None 2025-06-05T23:26:40.1451416Z 2025-06-05T23:26:40.1451990Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:327 in forward, code: y = attn_weight @ v 2025-06-05T23:26:40.1453736Z quantized_decomposed_dequantize_per_tensor_default_336: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_128, 2.6003737730206922e-05, 0, -32767, 32767, torch.int16); quantized_decomposed_quantize_per_tensor_default_128 = None 2025-06-05T23:26:40.1455080Z 2025-06-05T23:26:40.1455778Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:324 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-06-05T23:26:40.1457299Z aten_permute_copy_default_31: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_297, [0, 1, 3, 2]); quantized_decomposed_dequantize_per_tensor_default_297 = None 2025-06-05T23:26:40.1459157Z quantized_decomposed_quantize_per_tensor_default_129: "i32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_31, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_permute_copy_default_31 = None 2025-06-05T23:26:40.1460296Z 2025-06-05T23:26:40.1461359Z # File: .74:779 in forward, code: dequantize_per_tensor_default_278 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_278, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantize_per_tensor_default_278 = None 2025-06-05T23:26:40.1463572Z quantized_decomposed_dequantize_per_tensor_default_337: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_129, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_129 = None 2025-06-05T23:26:40.1464966Z 2025-06-05T23:26:40.1466033Z # File: .74:780 in forward, code: quantize_per_tensor_default_279 = torch.ops.quantized_decomposed.quantize_per_tensor.default(dequantize_per_tensor_default_278, 0.00027792342007160187, 0, -32767, 32767, torch.int16); dequantize_per_tensor_default_278 = None 2025-06-05T23:26:40.1468257Z quantized_decomposed_quantize_per_tensor_default_130: "i16[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_337, 0.00027792342007160187, 0, -32767, 32767, torch.int16); quantized_decomposed_dequantize_per_tensor_default_337 = None 2025-06-05T23:26:40.1469614Z 2025-06-05T23:26:40.1470320Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:324 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-06-05T23:26:40.1472285Z quantized_decomposed_dequantize_per_tensor_default_338: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_130, 0.00027792342007160187, 0, -32767, 32767, torch.int16); quantized_decomposed_quantize_per_tensor_default_130 = None 2025-06-05T23:26:40.1474497Z aten_expand_copy_default: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_232, [1, 12, 1, 64]); quantized_decomposed_dequantize_per_tensor_default_232 = None 2025-06-05T23:26:40.1475932Z aten_view_copy_default_11: "f32[12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default, [12, 1, 64]); aten_expand_copy_default = None 2025-06-05T23:26:40.1477462Z aten_expand_copy_default_1: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_338, [1, 12, 64, 128]); quantized_decomposed_dequantize_per_tensor_default_338 = None 2025-06-05T23:26:40.1478928Z aten_view_copy_default_12: "f32[12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_1, [12, 64, 128]); aten_expand_copy_default_1 = None 2025-06-05T23:26:40.1480258Z aten_bmm_default: "f32[12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_11, aten_view_copy_default_12); aten_view_copy_default_11 = aten_view_copy_default_12 = None 2025-06-05T23:26:40.1481802Z aten_view_copy_default_13: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default, [1, 12, 1, 128]); aten_bmm_default = None 2025-06-05T23:26:40.1483509Z quantized_decomposed_quantize_per_tensor_default_131: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_13, 0.006018729880452156, 34998, 0, 65535, torch.int32); aten_view_copy_default_13 = None 2025-06-05T23:26:40.1485796Z quantized_decomposed_dequantize_per_tensor_default_339: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_131, 0.006018729880452156, 34998, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_131 = None 2025-06-05T23:26:40.1487984Z quantized_decomposed_dequantize_per_tensor_default_340: "f32[]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(b__frozen_param149, 1.9073777366429567e-06, 0, 0, 65535, torch.int32); b__frozen_param149 = None 2025-06-05T23:26:40.1490224Z aten_mul_tensor_10: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_339, quantized_decomposed_dequantize_per_tensor_default_340); quantized_decomposed_dequantize_per_tensor_default_339 = quantized_decomposed_dequantize_per_tensor_default_340 = None 2025-06-05T23:26:40.1492471Z quantized_decomposed_quantize_per_tensor_default_132: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_10, 0.0007523412350565195, 34998, 0, 65535, torch.int32); aten_mul_tensor_10 = None 2025-06-05T23:26:40.1493630Z 2025-06-05T23:26:40.1494362Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:325 in forward, code: attn_weight += attn_mask 2025-06-05T23:26:40.1496227Z quantized_decomposed_dequantize_per_tensor_default_341: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_132, 0.0007523412350565195, 34998, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_132 = None 2025-06-05T23:26:40.1498812Z aten_add_tensor_2: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_341, quantized_decomposed_dequantize_per_tensor_default_233); quantized_decomposed_dequantize_per_tensor_default_341 = quantized_decomposed_dequantize_per_tensor_default_233 = None 2025-06-05T23:26:40.1500981Z quantized_decomposed_quantize_per_tensor_default_133: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_2, 0.00445493683218956, 61746, 0, 65535, torch.int32); aten_add_tensor_2 = None 2025-06-05T23:26:40.1502124Z 2025-06-05T23:26:40.1502944Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:326 in forward, code: attn_weight = torch.softmax(attn_weight, dim=-1) 2025-06-05T23:26:40.1504867Z quantized_decomposed_dequantize_per_tensor_default_342: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_133, 0.00445493683218956, 61746, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_133 = None 2025-06-05T23:26:40.1507011Z aten__softmax_default: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten__softmax_default(quantized_decomposed_dequantize_per_tensor_default_342, -1, False); quantized_decomposed_dequantize_per_tensor_default_342 = None 2025-06-05T23:26:40.1508934Z quantized_decomposed_quantize_per_tensor_default_134: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten__softmax_default, 1.5259021893143654e-05, 0, 0, 65535, torch.int32); aten__softmax_default = None 2025-06-05T23:26:40.1510089Z 2025-06-05T23:26:40.1510874Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:327 in forward, code: y = attn_weight @ v 2025-06-05T23:26:40.1512758Z quantized_decomposed_dequantize_per_tensor_default_343: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_134, 1.5259021893143654e-05, 0, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_134 = None 2025-06-05T23:26:40.1514865Z aten_expand_copy_default_2: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_343, [1, 12, 1, 128]); quantized_decomposed_dequantize_per_tensor_default_343 = None 2025-06-05T23:26:40.1516448Z aten_view_copy_default_14: "f32[12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_2, [12, 1, 128]); aten_expand_copy_default_2 = None 2025-06-05T23:26:40.1518045Z aten_expand_copy_default_3: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_336, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_336 = None 2025-06-05T23:26:40.1519607Z aten_view_copy_default_15: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_3, [12, 128, 64]); aten_expand_copy_default_3 = None 2025-06-05T23:26:40.1521022Z aten_bmm_default_1: "f32[12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_14, aten_view_copy_default_15); aten_view_copy_default_14 = aten_view_copy_default_15 = None 2025-06-05T23:26:40.1522401Z aten_view_copy_default_16: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_1, [1, 12, 1, 64]); aten_bmm_default_1 = None 2025-06-05T23:26:40.1524070Z quantized_decomposed_quantize_per_tensor_default_135: "i32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_16, 2.0544466678984463e-05, 35449, 0, 65535, torch.int32); aten_view_copy_default_16 = None 2025-06-05T23:26:40.1525231Z 2025-06-05T23:26:40.1526097Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:329 in forward, code: return y.transpose(1, 2).contiguous().view(bsz, seqlen, self.dim) 2025-06-05T23:26:40.1528132Z quantized_decomposed_dequantize_per_tensor_default_344: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_135, 2.0544466678984463e-05, 35449, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_135 = None 2025-06-05T23:26:40.1530261Z aten_permute_copy_default_32: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_344, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_344 = None 2025-06-05T23:26:40.1532268Z quantized_decomposed_quantize_per_tensor_default_136: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_32, 2.0544466678984463e-05, 35449, 0, 65535, torch.int32); aten_permute_copy_default_32 = None 2025-06-05T23:26:40.1534581Z quantized_decomposed_dequantize_per_tensor_default_345: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_136, 2.0544466678984463e-05, 35449, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_136 = None 2025-06-05T23:26:40.1536727Z aten_view_copy_default_17: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_345, [1, 1, 768]); quantized_decomposed_dequantize_per_tensor_default_345 = None 2025-06-05T23:26:40.1538627Z quantized_decomposed_quantize_per_tensor_default_137: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_17, 2.0544466678984463e-05, 35449, 0, 65535, torch.int32); aten_view_copy_default_17 = None 2025-06-05T23:26:40.1539826Z 2025-06-05T23:26:40.1540529Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.1542456Z quantized_decomposed_dequantize_per_tensor_default_346: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_137, 2.0544466678984463e-05, 35449, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_137 = None 2025-06-05T23:26:40.1544630Z aten_unsqueeze_copy_default_7: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_346, -1); quantized_decomposed_dequantize_per_tensor_default_346 = None 2025-06-05T23:26:40.1546608Z quantized_decomposed_quantize_per_tensor_default_138: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_7, 2.0544466678984463e-05, 35449, 0, 65535, torch.int32); aten_unsqueeze_copy_default_7 = None 2025-06-05T23:26:40.1547855Z 2025-06-05T23:26:40.1548499Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.1550260Z quantized_decomposed_dequantize_per_tensor_default_347: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_138, 2.0544466678984463e-05, 35449, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_138 = None 2025-06-05T23:26:40.1552570Z aten_permute_copy_default_33: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_347, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_347 = None 2025-06-05T23:26:40.1554525Z quantized_decomposed_quantize_per_tensor_default_139: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_33, 2.0544466678984463e-05, 35449, 0, 65535, torch.int32); aten_permute_copy_default_33 = None 2025-06-05T23:26:40.1555753Z 2025-06-05T23:26:40.1556347Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.1558124Z quantized_decomposed_dequantize_per_tensor_default_348: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_139, 2.0544466678984463e-05, 35449, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_139 = None 2025-06-05T23:26:40.1560755Z aten_convolution_default_3: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_348, quantized_decomposed_dequantize_per_tensor_default_5, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_348 = quantized_decomposed_dequantize_per_tensor_default_5 = None 2025-06-05T23:26:40.1563269Z quantized_decomposed_quantize_per_tensor_default_140: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_3, 2.3234304535435513e-05, 31262, 0, 65535, torch.int32); aten_convolution_default_3 = None 2025-06-05T23:26:40.1564458Z 2025-06-05T23:26:40.1565084Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.1566951Z quantized_decomposed_dequantize_per_tensor_default_349: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_140, 2.3234304535435513e-05, 31262, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_140 = None 2025-06-05T23:26:40.1569085Z aten_permute_copy_default_34: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_349, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_349 = None 2025-06-05T23:26:40.1571022Z quantized_decomposed_quantize_per_tensor_default_141: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_34, 2.3234304535435513e-05, 31262, 0, 65535, torch.int32); aten_permute_copy_default_34 = None 2025-06-05T23:26:40.1572330Z 2025-06-05T23:26:40.1573199Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.1575090Z quantized_decomposed_dequantize_per_tensor_default_350: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_141, 2.3234304535435513e-05, 31262, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_141 = None 2025-06-05T23:26:40.1577272Z aten_squeeze_copy_dims_7: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_350, [-1]); quantized_decomposed_dequantize_per_tensor_default_350 = None 2025-06-05T23:26:40.1579170Z quantized_decomposed_quantize_per_tensor_default_142: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_7, 2.3234304535435513e-05, 31262, 0, 65535, torch.int32); aten_squeeze_copy_dims_7 = None 2025-06-05T23:26:40.1580351Z 2025-06-05T23:26:40.1581004Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:132 in forward, code: h = x + h 2025-06-05T23:26:40.1582696Z quantized_decomposed_dequantize_per_tensor_default_351: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_142, 2.3234304535435513e-05, 31262, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_142 = None 2025-06-05T23:26:40.1585219Z aten_add_tensor_3: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_149, quantized_decomposed_dequantize_per_tensor_default_351); quantized_decomposed_dequantize_per_tensor_default_149 = quantized_decomposed_dequantize_per_tensor_default_351 = None 2025-06-05T23:26:40.1587528Z quantized_decomposed_quantize_per_tensor_default_143: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_3, 2.3993761715246364e-05, 31139, 0, 65535, torch.int32); aten_add_tensor_3 = None 2025-06-05T23:26:40.1588671Z 2025-06-05T23:26:40.1589333Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:136 in forward, code: out = h + self.feed_forward(self.ffn_norm(h)) 2025-06-05T23:26:40.1591177Z quantized_decomposed_dequantize_per_tensor_default_352: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_143, 2.3993761715246364e-05, 31139, 0, 65535, torch.int32) 2025-06-05T23:26:40.1593492Z quantized_decomposed_dequantize_per_tensor_default_353: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_143, 2.3993761715246364e-05, 31139, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_143 = None 2025-06-05T23:26:40.1595320Z aten_pow_tensor_scalar_1: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(quantized_decomposed_dequantize_per_tensor_default_353, 2) 2025-06-05T23:26:40.1596542Z aten_mean_dim_1: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_mean_dim(aten_pow_tensor_scalar_1, [2], True); aten_pow_tensor_scalar_1 = None 2025-06-05T23:26:40.1597647Z aten_add_scalar_1: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_add_Scalar(aten_mean_dim_1, 9.999999747378752e-06); aten_mean_dim_1 = None 2025-06-05T23:26:40.1598653Z aten_rsqrt_default_1: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_rsqrt_default(aten_add_scalar_1); aten_add_scalar_1 = None 2025-06-05T23:26:40.1600225Z aten_mul_tensor_11: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_353, aten_rsqrt_default_1); quantized_decomposed_dequantize_per_tensor_default_353 = aten_rsqrt_default_1 = None 2025-06-05T23:26:40.1602122Z aten_mul_tensor_12: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_11, quantized_decomposed_dequantize_per_tensor_default_6); aten_mul_tensor_11 = quantized_decomposed_dequantize_per_tensor_default_6 = None 2025-06-05T23:26:40.1603936Z quantized_decomposed_quantize_per_tensor_default_144: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_12, 6.304631824605167e-05, 32297, 0, 65535, torch.int32); aten_mul_tensor_12 = None 2025-06-05T23:26:40.1605133Z 2025-06-05T23:26:40.1605910Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.1607513Z quantized_decomposed_dequantize_per_tensor_default_354: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_144, 6.304631824605167e-05, 32297, 0, 65535, torch.int32) 2025-06-05T23:26:40.1609852Z quantized_decomposed_dequantize_per_tensor_default_355: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_144, 6.304631824605167e-05, 32297, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_144 = None 2025-06-05T23:26:40.1612033Z aten_unsqueeze_copy_default_8: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_355, -1); quantized_decomposed_dequantize_per_tensor_default_355 = None 2025-06-05T23:26:40.1614036Z quantized_decomposed_quantize_per_tensor_default_145: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_8, 6.304631824605167e-05, 32297, 0, 65535, torch.int32); aten_unsqueeze_copy_default_8 = None 2025-06-05T23:26:40.1615251Z 2025-06-05T23:26:40.1615872Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.1617675Z quantized_decomposed_dequantize_per_tensor_default_356: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_145, 6.304631824605167e-05, 32297, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_145 = None 2025-06-05T23:26:40.1619841Z aten_permute_copy_default_35: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_356, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_356 = None 2025-06-05T23:26:40.1621775Z quantized_decomposed_quantize_per_tensor_default_146: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_35, 6.304631824605167e-05, 32297, 0, 65535, torch.int32); aten_permute_copy_default_35 = None 2025-06-05T23:26:40.1622997Z 2025-06-05T23:26:40.1623558Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.1625290Z quantized_decomposed_dequantize_per_tensor_default_357: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_146, 6.304631824605167e-05, 32297, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_146 = None 2025-06-05T23:26:40.1627992Z aten_convolution_default_4: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_357, quantized_decomposed_dequantize_per_tensor_default_7, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_357 = quantized_decomposed_dequantize_per_tensor_default_7 = None 2025-06-05T23:26:40.1630455Z quantized_decomposed_quantize_per_tensor_default_147: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_4, 0.00015858362894505262, 37454, 0, 65535, torch.int32); aten_convolution_default_4 = None 2025-06-05T23:26:40.1631723Z 2025-06-05T23:26:40.1632386Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.1634202Z quantized_decomposed_dequantize_per_tensor_default_358: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_147, 0.00015858362894505262, 37454, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_147 = None 2025-06-05T23:26:40.1636381Z aten_permute_copy_default_36: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_358, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_358 = None 2025-06-05T23:26:40.1638402Z quantized_decomposed_quantize_per_tensor_default_148: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_36, 0.00015858362894505262, 37454, 0, 65535, torch.int32); aten_permute_copy_default_36 = None 2025-06-05T23:26:40.1639707Z 2025-06-05T23:26:40.1640436Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.1642376Z quantized_decomposed_dequantize_per_tensor_default_359: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_148, 0.00015858362894505262, 37454, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_148 = None 2025-06-05T23:26:40.1644567Z aten_squeeze_copy_dims_8: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_359, [-1]); quantized_decomposed_dequantize_per_tensor_default_359 = None 2025-06-05T23:26:40.1646421Z quantized_decomposed_quantize_per_tensor_default_149: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_8, 0.00015858362894505262, 37454, 0, 65535, torch.int32); aten_squeeze_copy_dims_8 = None 2025-06-05T23:26:40.1647637Z 2025-06-05T23:26:40.1648385Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:37 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-06-05T23:26:40.1650011Z quantized_decomposed_dequantize_per_tensor_default_360: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_149, 0.00015858362894505262, 37454, 0, 65535, torch.int32) 2025-06-05T23:26:40.1652328Z quantized_decomposed_dequantize_per_tensor_default_361: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_149, 0.00015858362894505262, 37454, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_149 = None 2025-06-05T23:26:40.1654504Z aten_sigmoid_default: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_sigmoid_default(quantized_decomposed_dequantize_per_tensor_default_361); quantized_decomposed_dequantize_per_tensor_default_361 = None 2025-06-05T23:26:40.1656318Z quantized_decomposed_quantize_per_tensor_default_150: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sigmoid_default, 1.52587890625e-05, 0, 0, 65535, torch.int32); aten_sigmoid_default = None 2025-06-05T23:26:40.1658516Z quantized_decomposed_dequantize_per_tensor_default_362: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_150, 1.52587890625e-05, 0, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_150 = None 2025-06-05T23:26:40.1661040Z aten_mul_tensor_13: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_360, quantized_decomposed_dequantize_per_tensor_default_362); quantized_decomposed_dequantize_per_tensor_default_360 = quantized_decomposed_dequantize_per_tensor_default_362 = None 2025-06-05T23:26:40.1663247Z quantized_decomposed_quantize_per_tensor_default_151: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_13, 7.141960668377578e-05, 3899, 0, 65535, torch.int32); aten_mul_tensor_13 = None 2025-06-05T23:26:40.1665506Z quantized_decomposed_dequantize_per_tensor_default_363: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_151, 7.141960668377578e-05, 3899, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_151 = None 2025-06-05T23:26:40.1666940Z 2025-06-05T23:26:40.1667686Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.1669268Z aten_unsqueeze_copy_default_9: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_354, -1); quantized_decomposed_dequantize_per_tensor_default_354 = None 2025-06-05T23:26:40.1671268Z quantized_decomposed_quantize_per_tensor_default_152: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_9, 6.304631824605167e-05, 32297, 0, 65535, torch.int32); aten_unsqueeze_copy_default_9 = None 2025-06-05T23:26:40.1672502Z 2025-06-05T23:26:40.1673514Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.1675255Z quantized_decomposed_dequantize_per_tensor_default_364: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_152, 6.304631824605167e-05, 32297, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_152 = None 2025-06-05T23:26:40.1677460Z aten_permute_copy_default_37: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_364, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_364 = None 2025-06-05T23:26:40.1679430Z quantized_decomposed_quantize_per_tensor_default_153: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_37, 6.304631824605167e-05, 32297, 0, 65535, torch.int32); aten_permute_copy_default_37 = None 2025-06-05T23:26:40.1680654Z 2025-06-05T23:26:40.1681246Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.1683000Z quantized_decomposed_dequantize_per_tensor_default_365: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_153, 6.304631824605167e-05, 32297, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_153 = None 2025-06-05T23:26:40.1685607Z aten_convolution_default_5: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_365, quantized_decomposed_dequantize_per_tensor_default_8, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_365 = quantized_decomposed_dequantize_per_tensor_default_8 = None 2025-06-05T23:26:40.1688111Z quantized_decomposed_quantize_per_tensor_default_154: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_5, 0.00017520938126835972, 26511, 0, 65535, torch.int32); aten_convolution_default_5 = None 2025-06-05T23:26:40.1689371Z 2025-06-05T23:26:40.1689967Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.1691776Z quantized_decomposed_dequantize_per_tensor_default_366: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_154, 0.00017520938126835972, 26511, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_154 = None 2025-06-05T23:26:40.1693988Z aten_permute_copy_default_38: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_366, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_366 = None 2025-06-05T23:26:40.1696044Z quantized_decomposed_quantize_per_tensor_default_155: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_38, 0.00017520938126835972, 26511, 0, 65535, torch.int32); aten_permute_copy_default_38 = None 2025-06-05T23:26:40.1697243Z 2025-06-05T23:26:40.1698023Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.1699985Z quantized_decomposed_dequantize_per_tensor_default_367: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_155, 0.00017520938126835972, 26511, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_155 = None 2025-06-05T23:26:40.1702092Z aten_squeeze_copy_dims_9: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_367, [-1]); quantized_decomposed_dequantize_per_tensor_default_367 = None 2025-06-05T23:26:40.1704011Z quantized_decomposed_quantize_per_tensor_default_156: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_9, 0.00017520938126835972, 26511, 0, 65535, torch.int32); aten_squeeze_copy_dims_9 = None 2025-06-05T23:26:40.1705229Z 2025-06-05T23:26:40.1705921Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:37 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-06-05T23:26:40.1707855Z quantized_decomposed_dequantize_per_tensor_default_368: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_156, 0.00017520938126835972, 26511, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_156 = None 2025-06-05T23:26:40.1710410Z aten_mul_tensor_14: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_363, quantized_decomposed_dequantize_per_tensor_default_368); quantized_decomposed_dequantize_per_tensor_default_363 = quantized_decomposed_dequantize_per_tensor_default_368 = None 2025-06-05T23:26:40.1712669Z quantized_decomposed_quantize_per_tensor_default_157: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_14, 0.00046910217497497797, 34492, 0, 65535, torch.int32); aten_mul_tensor_14 = None 2025-06-05T23:26:40.1713864Z 2025-06-05T23:26:40.1714605Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.1716503Z quantized_decomposed_dequantize_per_tensor_default_369: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_157, 0.00046910217497497797, 34492, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_157 = None 2025-06-05T23:26:40.1718727Z aten_unsqueeze_copy_default_10: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_369, -1); quantized_decomposed_dequantize_per_tensor_default_369 = None 2025-06-05T23:26:40.1720709Z quantized_decomposed_quantize_per_tensor_default_158: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_10, 0.00046910217497497797, 34492, 0, 65535, torch.int32); aten_unsqueeze_copy_default_10 = None 2025-06-05T23:26:40.1721982Z 2025-06-05T23:26:40.1722620Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.1724407Z quantized_decomposed_dequantize_per_tensor_default_370: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_158, 0.00046910217497497797, 34492, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_158 = None 2025-06-05T23:26:40.1726572Z aten_permute_copy_default_39: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_370, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_370 = None 2025-06-05T23:26:40.1728562Z quantized_decomposed_quantize_per_tensor_default_159: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_39, 0.00046910217497497797, 34492, 0, 65535, torch.int32); aten_permute_copy_default_39 = None 2025-06-05T23:26:40.1729804Z 2025-06-05T23:26:40.1730372Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.1732152Z quantized_decomposed_dequantize_per_tensor_default_371: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_159, 0.00046910217497497797, 34492, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_159 = None 2025-06-05T23:26:40.1734823Z aten_convolution_default_6: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_371, quantized_decomposed_dequantize_per_tensor_default_9, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_371 = quantized_decomposed_dequantize_per_tensor_default_9 = None 2025-06-05T23:26:40.1737267Z quantized_decomposed_quantize_per_tensor_default_160: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_6, 0.00015648982662241906, 29373, 0, 65535, torch.int32); aten_convolution_default_6 = None 2025-06-05T23:26:40.1738549Z 2025-06-05T23:26:40.1739154Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.1740930Z quantized_decomposed_dequantize_per_tensor_default_372: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_160, 0.00015648982662241906, 29373, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_160 = None 2025-06-05T23:26:40.1743198Z aten_permute_copy_default_40: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_372, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_372 = None 2025-06-05T23:26:40.1745114Z quantized_decomposed_quantize_per_tensor_default_161: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_40, 0.00015648982662241906, 29373, 0, 65535, torch.int32); aten_permute_copy_default_40 = None 2025-06-05T23:26:40.1746334Z 2025-06-05T23:26:40.1747174Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.1749057Z quantized_decomposed_dequantize_per_tensor_default_373: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_161, 0.00015648982662241906, 29373, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_161 = None 2025-06-05T23:26:40.1751314Z aten_squeeze_copy_dims_10: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_373, [-1]); quantized_decomposed_dequantize_per_tensor_default_373 = None 2025-06-05T23:26:40.1753274Z quantized_decomposed_quantize_per_tensor_default_162: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_10, 0.00015648982662241906, 29373, 0, 65535, torch.int32); aten_squeeze_copy_dims_10 = None 2025-06-05T23:26:40.1754433Z 2025-06-05T23:26:40.1755190Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:136 in forward, code: out = h + self.feed_forward(self.ffn_norm(h)) 2025-06-05T23:26:40.1757139Z quantized_decomposed_dequantize_per_tensor_default_374: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_162, 0.00015648982662241906, 29373, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_162 = None 2025-06-05T23:26:40.1759601Z aten_add_tensor_4: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_352, quantized_decomposed_dequantize_per_tensor_default_374); quantized_decomposed_dequantize_per_tensor_default_352 = quantized_decomposed_dequantize_per_tensor_default_374 = None 2025-06-05T23:26:40.1761793Z quantized_decomposed_quantize_per_tensor_default_163: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_4, 0.0001625629374757409, 28917, 0, 65535, torch.int32); aten_add_tensor_4 = None 2025-06-05T23:26:40.1763025Z 2025-06-05T23:26:40.1763569Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:132 in forward, code: h = x + h 2025-06-05T23:26:40.1765064Z quantized_decomposed_dequantize_per_tensor_default_375: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_163, 0.0001625629374757409, 28917, 0, 65535, torch.int32) 2025-06-05T23:26:40.1766328Z 2025-06-05T23:26:40.1767092Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:129 in forward, code: self.attention_norm(x), freqs_cos, freqs_sin, **attn_options 2025-06-05T23:26:40.1769024Z quantized_decomposed_dequantize_per_tensor_default_376: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_163, 0.0001625629374757409, 28917, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_163 = None 2025-06-05T23:26:40.1770969Z aten_pow_tensor_scalar_2: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(quantized_decomposed_dequantize_per_tensor_default_376, 2) 2025-06-05T23:26:40.1772096Z aten_mean_dim_2: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_mean_dim(aten_pow_tensor_scalar_2, [2], True); aten_pow_tensor_scalar_2 = None 2025-06-05T23:26:40.1773365Z aten_add_scalar_2: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_add_Scalar(aten_mean_dim_2, 9.999999747378752e-06); aten_mean_dim_2 = None 2025-06-05T23:26:40.1774479Z aten_rsqrt_default_2: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_rsqrt_default(aten_add_scalar_2); aten_add_scalar_2 = None 2025-06-05T23:26:40.1775929Z aten_mul_tensor_15: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_376, aten_rsqrt_default_2); quantized_decomposed_dequantize_per_tensor_default_376 = aten_rsqrt_default_2 = None 2025-06-05T23:26:40.1777870Z aten_mul_tensor_16: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_15, quantized_decomposed_dequantize_per_tensor_default_10); aten_mul_tensor_15 = quantized_decomposed_dequantize_per_tensor_default_10 = None 2025-06-05T23:26:40.1779810Z quantized_decomposed_quantize_per_tensor_default_164: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_16, 0.0002292444696649909, 31927, 0, 65535, torch.int32); aten_mul_tensor_16 = None 2025-06-05T23:26:40.1780967Z 2025-06-05T23:26:40.1834444Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.1836337Z quantized_decomposed_dequantize_per_tensor_default_377: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_164, 0.0002292444696649909, 31927, 0, 65535, torch.int32) 2025-06-05T23:26:40.1838338Z quantized_decomposed_dequantize_per_tensor_default_378: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_164, 0.0002292444696649909, 31927, 0, 65535, torch.int32) 2025-06-05T23:26:40.1840543Z quantized_decomposed_dequantize_per_tensor_default_379: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_164, 0.0002292444696649909, 31927, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_164 = None 2025-06-05T23:26:40.1842628Z aten_unsqueeze_copy_default_11: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_379, -1); quantized_decomposed_dequantize_per_tensor_default_379 = None 2025-06-05T23:26:40.1844571Z quantized_decomposed_quantize_per_tensor_default_165: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_11, 0.0002292444696649909, 31927, 0, 65535, torch.int32); aten_unsqueeze_copy_default_11 = None 2025-06-05T23:26:40.1845734Z 2025-06-05T23:26:40.1846259Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.1847951Z quantized_decomposed_dequantize_per_tensor_default_380: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_165, 0.0002292444696649909, 31927, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_165 = None 2025-06-05T23:26:40.1850087Z aten_permute_copy_default_41: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_380, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_380 = None 2025-06-05T23:26:40.1851939Z quantized_decomposed_quantize_per_tensor_default_166: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_41, 0.0002292444696649909, 31927, 0, 65535, torch.int32); aten_permute_copy_default_41 = None 2025-06-05T23:26:40.1853064Z 2025-06-05T23:26:40.1853558Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.1855194Z quantized_decomposed_dequantize_per_tensor_default_381: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_166, 0.0002292444696649909, 31927, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_166 = None 2025-06-05T23:26:40.1857798Z aten_convolution_default_7: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_381, quantized_decomposed_dequantize_per_tensor_default_11, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_381 = quantized_decomposed_dequantize_per_tensor_default_11 = None 2025-06-05T23:26:40.1860162Z quantized_decomposed_quantize_per_tensor_default_167: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_7, 0.0005588589119724929, 30540, 0, 65535, torch.int32); aten_convolution_default_7 = None 2025-06-05T23:26:40.1861292Z 2025-06-05T23:26:40.1861828Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.1863539Z quantized_decomposed_dequantize_per_tensor_default_382: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_167, 0.0005588589119724929, 30540, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_167 = None 2025-06-05T23:26:40.1865613Z aten_permute_copy_default_42: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_382, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_382 = None 2025-06-05T23:26:40.1867473Z quantized_decomposed_quantize_per_tensor_default_168: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_42, 0.0005588589119724929, 30540, 0, 65535, torch.int32); aten_permute_copy_default_42 = None 2025-06-05T23:26:40.1868633Z 2025-06-05T23:26:40.1869298Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.1871182Z quantized_decomposed_dequantize_per_tensor_default_383: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_168, 0.0005588589119724929, 30540, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_168 = None 2025-06-05T23:26:40.1873366Z aten_squeeze_copy_dims_11: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_383, [-1]); quantized_decomposed_dequantize_per_tensor_default_383 = None 2025-06-05T23:26:40.1875177Z quantized_decomposed_quantize_per_tensor_default_169: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_11, 0.0005588589119724929, 30540, 0, 65535, torch.int32); aten_squeeze_copy_dims_11 = None 2025-06-05T23:26:40.1876269Z 2025-06-05T23:26:40.1876913Z # File: /pytorch/executorch/examples/models/llama/attention.py:405 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim) 2025-06-05T23:26:40.1878703Z quantized_decomposed_dequantize_per_tensor_default_384: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_169, 0.0005588589119724929, 30540, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_169 = None 2025-06-05T23:26:40.1880046Z 2025-06-05T23:26:40.1880690Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.1882184Z aten_unsqueeze_copy_default_12: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_378, -1); quantized_decomposed_dequantize_per_tensor_default_378 = None 2025-06-05T23:26:40.1884060Z quantized_decomposed_quantize_per_tensor_default_170: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_12, 0.0002292444696649909, 31927, 0, 65535, torch.int32); aten_unsqueeze_copy_default_12 = None 2025-06-05T23:26:40.1885213Z 2025-06-05T23:26:40.1885744Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.1887465Z quantized_decomposed_dequantize_per_tensor_default_385: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_170, 0.0002292444696649909, 31927, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_170 = None 2025-06-05T23:26:40.1889541Z aten_permute_copy_default_43: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_385, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_385 = None 2025-06-05T23:26:40.1891392Z quantized_decomposed_quantize_per_tensor_default_171: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_43, 0.0002292444696649909, 31927, 0, 65535, torch.int32); aten_permute_copy_default_43 = None 2025-06-05T23:26:40.1892511Z 2025-06-05T23:26:40.1892998Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.1894681Z quantized_decomposed_dequantize_per_tensor_default_386: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_171, 0.0002292444696649909, 31927, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_171 = None 2025-06-05T23:26:40.1897224Z aten_convolution_default_8: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_386, quantized_decomposed_dequantize_per_tensor_default_12, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_386 = quantized_decomposed_dequantize_per_tensor_default_12 = None 2025-06-05T23:26:40.1899563Z quantized_decomposed_quantize_per_tensor_default_172: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_8, 0.00035107287112623453, 33587, 0, 65535, torch.int32); aten_convolution_default_8 = None 2025-06-05T23:26:40.1900697Z 2025-06-05T23:26:40.1901253Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.1902971Z quantized_decomposed_dequantize_per_tensor_default_387: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_172, 0.00035107287112623453, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_172 = None 2025-06-05T23:26:40.1907558Z aten_permute_copy_default_44: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_387, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_387 = None 2025-06-05T23:26:40.1909460Z quantized_decomposed_quantize_per_tensor_default_173: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_44, 0.00035107287112623453, 33587, 0, 65535, torch.int32); aten_permute_copy_default_44 = None 2025-06-05T23:26:40.1910595Z 2025-06-05T23:26:40.1911336Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.1913154Z quantized_decomposed_dequantize_per_tensor_default_388: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_173, 0.00035107287112623453, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_173 = None 2025-06-05T23:26:40.1915229Z aten_squeeze_copy_dims_12: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_388, [-1]); quantized_decomposed_dequantize_per_tensor_default_388 = None 2025-06-05T23:26:40.1917027Z quantized_decomposed_quantize_per_tensor_default_174: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_12, 0.00035107287112623453, 33587, 0, 65535, torch.int32); aten_squeeze_copy_dims_12 = None 2025-06-05T23:26:40.1918143Z 2025-06-05T23:26:40.1918781Z # File: /pytorch/executorch/examples/models/llama/attention.py:406 in forward, code: k = k.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim) 2025-06-05T23:26:40.1920589Z quantized_decomposed_dequantize_per_tensor_default_389: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_174, 0.00035107287112623453, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_174 = None 2025-06-05T23:26:40.1921991Z 2025-06-05T23:26:40.1922619Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.1924062Z aten_unsqueeze_copy_default_13: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_377, -1); quantized_decomposed_dequantize_per_tensor_default_377 = None 2025-06-05T23:26:40.1925943Z quantized_decomposed_quantize_per_tensor_default_175: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_13, 0.0002292444696649909, 31927, 0, 65535, torch.int32); aten_unsqueeze_copy_default_13 = None 2025-06-05T23:26:40.1927072Z 2025-06-05T23:26:40.1927597Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.1929304Z quantized_decomposed_dequantize_per_tensor_default_390: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_175, 0.0002292444696649909, 31927, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_175 = None 2025-06-05T23:26:40.1931375Z aten_permute_copy_default_45: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_390, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_390 = None 2025-06-05T23:26:40.1933230Z quantized_decomposed_quantize_per_tensor_default_176: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_45, 0.0002292444696649909, 31927, 0, 65535, torch.int32); aten_permute_copy_default_45 = None 2025-06-05T23:26:40.1934398Z 2025-06-05T23:26:40.1934873Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.1936513Z quantized_decomposed_dequantize_per_tensor_default_391: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_176, 0.0002292444696649909, 31927, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_176 = None 2025-06-05T23:26:40.1939100Z aten_convolution_default_9: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_391, quantized_decomposed_dequantize_per_tensor_default_13, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_391 = quantized_decomposed_dequantize_per_tensor_default_13 = None 2025-06-05T23:26:40.1941422Z quantized_decomposed_quantize_per_tensor_default_177: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_9, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_convolution_default_9 = None 2025-06-05T23:26:40.1942548Z 2025-06-05T23:26:40.1943092Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.1944775Z quantized_decomposed_dequantize_per_tensor_default_392: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_177, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_177 = None 2025-06-05T23:26:40.1946844Z aten_permute_copy_default_46: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_392, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_392 = None 2025-06-05T23:26:40.1948712Z quantized_decomposed_quantize_per_tensor_default_178: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_46, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_permute_copy_default_46 = None 2025-06-05T23:26:40.1949834Z 2025-06-05T23:26:40.1950499Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.1952393Z quantized_decomposed_dequantize_per_tensor_default_393: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_178, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_178 = None 2025-06-05T23:26:40.1954442Z aten_squeeze_copy_dims_13: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_393, [-1]); quantized_decomposed_dequantize_per_tensor_default_393 = None 2025-06-05T23:26:40.1956218Z quantized_decomposed_quantize_per_tensor_default_179: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_13, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_squeeze_copy_dims_13 = None 2025-06-05T23:26:40.1957314Z 2025-06-05T23:26:40.1957957Z # File: /pytorch/executorch/examples/models/llama/attention.py:407 in forward, code: v = v.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim) 2025-06-05T23:26:40.1959766Z quantized_decomposed_dequantize_per_tensor_default_394: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_179, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_179 = None 2025-06-05T23:26:40.1961130Z 2025-06-05T23:26:40.1961759Z # File: /pytorch/executorch/examples/models/llama/attention.py:405 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim) 2025-06-05T23:26:40.1963162Z aten_view_copy_default_18: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_384, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_384 = None 2025-06-05T23:26:40.1964976Z quantized_decomposed_quantize_per_tensor_default_180: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_18, 0.0005588589119724929, 30540, 0, 65535, torch.int32); aten_view_copy_default_18 = None 2025-06-05T23:26:40.1966065Z 2025-06-05T23:26:40.1966719Z # File: /pytorch/executorch/examples/models/llama/rope.py:84 in apply_rotary_emb, code: xq_r, xq_i = xq.float().reshape(xq.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.1968520Z quantized_decomposed_dequantize_per_tensor_default_395: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_180, 0.0005588589119724929, 30540, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_180 = None 2025-06-05T23:26:40.1969849Z 2025-06-05T23:26:40.1970497Z # File: /pytorch/executorch/examples/models/llama/attention.py:406 in forward, code: k = k.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim) 2025-06-05T23:26:40.1971903Z aten_view_copy_default_19: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_389, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_389 = None 2025-06-05T23:26:40.1973908Z quantized_decomposed_quantize_per_tensor_default_181: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_19, 0.00035107287112623453, 33587, 0, 65535, torch.int32); aten_view_copy_default_19 = None 2025-06-05T23:26:40.1975018Z 2025-06-05T23:26:40.1975656Z # File: /pytorch/executorch/examples/models/llama/rope.py:85 in apply_rotary_emb, code: xk_r, xk_i = xk.float().reshape(xk.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.1977466Z quantized_decomposed_dequantize_per_tensor_default_396: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_181, 0.00035107287112623453, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_181 = None 2025-06-05T23:26:40.1978826Z 2025-06-05T23:26:40.1979545Z # File: /pytorch/executorch/examples/models/llama/attention.py:407 in forward, code: v = v.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim) 2025-06-05T23:26:40.1980961Z aten_view_copy_default_20: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_394, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_394 = None 2025-06-05T23:26:40.1982755Z quantized_decomposed_quantize_per_tensor_default_182: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_20, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_view_copy_default_20 = None 2025-06-05T23:26:40.1983843Z 2025-06-05T23:26:40.1984652Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:511 in update, code: v_out = torch.ops.aten.index_put_(self.past_v_caches, [None, input_pos], v_val) 2025-06-05T23:26:40.1986658Z quantized_decomposed_dequantize_per_tensor_default_397: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_182, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_182 = None 2025-06-05T23:26:40.1987994Z 2025-06-05T23:26:40.1988647Z # File: /pytorch/executorch/examples/models/llama/rope.py:84 in apply_rotary_emb, code: xq_r, xq_i = xq.float().reshape(xq.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.1990107Z aten_view_copy_default_21: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_395, [1, 1, 12, -1, 2]); quantized_decomposed_dequantize_per_tensor_default_395 = None 2025-06-05T23:26:40.1991951Z quantized_decomposed_quantize_per_tensor_default_183: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_21, 0.0005588589119724929, 30540, 0, 65535, torch.int32); aten_view_copy_default_21 = None 2025-06-05T23:26:40.1994136Z quantized_decomposed_dequantize_per_tensor_default_398: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_183, 0.0005588589119724929, 30540, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_183 = None 2025-06-05T23:26:40.1995940Z aten_slice_copy_tensor_4: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_398, 4, 0, 1) 2025-06-05T23:26:40.1997348Z aten_slice_copy_tensor_5: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_398, 4, 1, 2); quantized_decomposed_dequantize_per_tensor_default_398 = None 2025-06-05T23:26:40.1998774Z aten_squeeze_copy_dims_14: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_4, [4]); aten_slice_copy_tensor_4 = None 2025-06-05T23:26:40.1999911Z aten_squeeze_copy_dims_15: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_5, [4]); aten_slice_copy_tensor_5 = None 2025-06-05T23:26:40.2001447Z quantized_decomposed_quantize_per_tensor_default_184: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_14, 0.0005588589119724929, 30540, 0, 65535, torch.int32); aten_squeeze_copy_dims_14 = None 2025-06-05T23:26:40.2002540Z 2025-06-05T23:26:40.2003144Z # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos 2025-06-05T23:26:40.2004689Z quantized_decomposed_dequantize_per_tensor_default_399: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_184, 0.0005588589119724929, 30540, 0, 65535, torch.int32) 2025-06-05T23:26:40.2005806Z 2025-06-05T23:26:40.2006395Z # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin 2025-06-05T23:26:40.2008130Z quantized_decomposed_dequantize_per_tensor_default_400: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_184, 0.0005588589119724929, 30540, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_184 = None 2025-06-05T23:26:40.2009502Z 2025-06-05T23:26:40.2010143Z # File: /pytorch/executorch/examples/models/llama/rope.py:84 in apply_rotary_emb, code: xq_r, xq_i = xq.float().reshape(xq.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.2011678Z quantized_decomposed_quantize_per_tensor_default_185: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_15, 0.0005588589119724929, 30540, 0, 65535, torch.int32); aten_squeeze_copy_dims_15 = None 2025-06-05T23:26:40.2012777Z 2025-06-05T23:26:40.2013355Z # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin 2025-06-05T23:26:40.2014921Z quantized_decomposed_dequantize_per_tensor_default_401: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_185, 0.0005588589119724929, 30540, 0, 65535, torch.int32) 2025-06-05T23:26:40.2016039Z 2025-06-05T23:26:40.2016621Z # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos 2025-06-05T23:26:40.2018372Z quantized_decomposed_dequantize_per_tensor_default_402: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_185, 0.0005588589119724929, 30540, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_185 = None 2025-06-05T23:26:40.2019721Z 2025-06-05T23:26:40.2020350Z # File: /pytorch/executorch/examples/models/llama/rope.py:85 in apply_rotary_emb, code: xk_r, xk_i = xk.float().reshape(xk.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.2021766Z aten_view_copy_default_22: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_396, [1, 1, 12, -1, 2]); quantized_decomposed_dequantize_per_tensor_default_396 = None 2025-06-05T23:26:40.2023604Z quantized_decomposed_quantize_per_tensor_default_186: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_22, 0.00035107287112623453, 33587, 0, 65535, torch.int32); aten_view_copy_default_22 = None 2025-06-05T23:26:40.2025783Z quantized_decomposed_dequantize_per_tensor_default_403: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_186, 0.00035107287112623453, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_186 = None 2025-06-05T23:26:40.2027588Z aten_slice_copy_tensor_6: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_403, 4, 0, 1) 2025-06-05T23:26:40.2029015Z aten_slice_copy_tensor_7: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_403, 4, 1, 2); quantized_decomposed_dequantize_per_tensor_default_403 = None 2025-06-05T23:26:40.2030396Z aten_squeeze_copy_dims_16: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_6, [4]); aten_slice_copy_tensor_6 = None 2025-06-05T23:26:40.2031609Z aten_squeeze_copy_dims_17: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_7, [4]); aten_slice_copy_tensor_7 = None 2025-06-05T23:26:40.2033156Z quantized_decomposed_quantize_per_tensor_default_187: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_16, 0.00035107287112623453, 33587, 0, 65535, torch.int32); aten_squeeze_copy_dims_16 = None 2025-06-05T23:26:40.2034299Z 2025-06-05T23:26:40.2034896Z # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos 2025-06-05T23:26:40.2036411Z quantized_decomposed_dequantize_per_tensor_default_404: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_187, 0.00035107287112623453, 33587, 0, 65535, torch.int32) 2025-06-05T23:26:40.2037526Z 2025-06-05T23:26:40.2038121Z # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin 2025-06-05T23:26:40.2039895Z quantized_decomposed_dequantize_per_tensor_default_405: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_187, 0.00035107287112623453, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_187 = None 2025-06-05T23:26:40.2041243Z 2025-06-05T23:26:40.2041887Z # File: /pytorch/executorch/examples/models/llama/rope.py:85 in apply_rotary_emb, code: xk_r, xk_i = xk.float().reshape(xk.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.2043432Z quantized_decomposed_quantize_per_tensor_default_188: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_17, 0.00035107287112623453, 33587, 0, 65535, torch.int32); aten_squeeze_copy_dims_17 = None 2025-06-05T23:26:40.2044520Z 2025-06-05T23:26:40.2045112Z # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin 2025-06-05T23:26:40.2046633Z quantized_decomposed_dequantize_per_tensor_default_406: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_188, 0.00035107287112623453, 33587, 0, 65535, torch.int32) 2025-06-05T23:26:40.2047758Z 2025-06-05T23:26:40.2048346Z # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos 2025-06-05T23:26:40.2050090Z quantized_decomposed_dequantize_per_tensor_default_407: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_188, 0.00035107287112623453, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_188 = None 2025-06-05T23:26:40.2051451Z 2025-06-05T23:26:40.2052010Z # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape) 2025-06-05T23:26:40.2053348Z aten_view_copy_default_23: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_161, [1, 1, 1, 32]); quantized_decomposed_dequantize_per_tensor_default_161 = None 2025-06-05T23:26:40.2055129Z quantized_decomposed_quantize_per_tensor_default_189: "i32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_23, 3.051804378628731e-05, 32768, 0, 65535, torch.int32); aten_view_copy_default_23 = None 2025-06-05T23:26:40.2056226Z 2025-06-05T23:26:40.2056807Z # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos 2025-06-05T23:26:40.2058321Z quantized_decomposed_dequantize_per_tensor_default_408: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_189, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-06-05T23:26:40.2059459Z 2025-06-05T23:26:40.2060042Z # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin 2025-06-05T23:26:40.2061544Z quantized_decomposed_dequantize_per_tensor_default_409: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_189, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-06-05T23:26:40.2062647Z 2025-06-05T23:26:40.2063238Z # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos 2025-06-05T23:26:40.2064766Z quantized_decomposed_dequantize_per_tensor_default_410: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_189, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-06-05T23:26:40.2065865Z 2025-06-05T23:26:40.2066454Z # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin 2025-06-05T23:26:40.2068210Z quantized_decomposed_dequantize_per_tensor_default_411: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_189, 3.051804378628731e-05, 32768, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_189 = None 2025-06-05T23:26:40.2069539Z 2025-06-05T23:26:40.2070093Z # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape) 2025-06-05T23:26:40.2071481Z aten_view_copy_default_24: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_173, [1, 1, 1, 32]); quantized_decomposed_dequantize_per_tensor_default_173 = None 2025-06-05T23:26:40.2073619Z quantized_decomposed_quantize_per_tensor_default_190: "i32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_24, 3.051786916330457e-05, 32767, 0, 65535, torch.int32); aten_view_copy_default_24 = None 2025-06-05T23:26:40.2074716Z 2025-06-05T23:26:40.2075301Z # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin 2025-06-05T23:26:40.2076816Z quantized_decomposed_dequantize_per_tensor_default_412: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_190, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-06-05T23:26:40.2077939Z 2025-06-05T23:26:40.2078593Z # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos 2025-06-05T23:26:40.2080111Z quantized_decomposed_dequantize_per_tensor_default_413: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_190, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-06-05T23:26:40.2081230Z 2025-06-05T23:26:40.2081809Z # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin 2025-06-05T23:26:40.2083322Z quantized_decomposed_dequantize_per_tensor_default_414: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_190, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-06-05T23:26:40.2084479Z 2025-06-05T23:26:40.2085061Z # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos 2025-06-05T23:26:40.2086809Z quantized_decomposed_dequantize_per_tensor_default_415: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_190, 3.051786916330457e-05, 32767, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_190 = None 2025-06-05T23:26:40.2088158Z 2025-06-05T23:26:40.2088757Z # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin 2025-06-05T23:26:40.2090519Z aten_mul_tensor_17: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_400, quantized_decomposed_dequantize_per_tensor_default_411); quantized_decomposed_dequantize_per_tensor_default_400 = quantized_decomposed_dequantize_per_tensor_default_411 = None 2025-06-05T23:26:40.2092629Z quantized_decomposed_quantize_per_tensor_default_191: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_17, 0.00031216273782774806, 24881, 0, 65535, torch.int32); aten_mul_tensor_17 = None 2025-06-05T23:26:40.2094770Z quantized_decomposed_dequantize_per_tensor_default_416: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_191, 0.00031216273782774806, 24881, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_191 = None 2025-06-05T23:26:40.2097177Z aten_mul_tensor_18: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_401, quantized_decomposed_dequantize_per_tensor_default_414); quantized_decomposed_dequantize_per_tensor_default_401 = quantized_decomposed_dequantize_per_tensor_default_414 = None 2025-06-05T23:26:40.2099339Z quantized_decomposed_quantize_per_tensor_default_192: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_18, 0.00018542019824963063, 32753, 0, 65535, torch.int32); aten_mul_tensor_18 = None 2025-06-05T23:26:40.2101459Z quantized_decomposed_dequantize_per_tensor_default_417: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_192, 0.00018542019824963063, 32753, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_192 = None 2025-06-05T23:26:40.2103893Z aten_sub_tensor_2: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(quantized_decomposed_dequantize_per_tensor_default_416, quantized_decomposed_dequantize_per_tensor_default_417); quantized_decomposed_dequantize_per_tensor_default_416 = quantized_decomposed_dequantize_per_tensor_default_417 = None 2025-06-05T23:26:40.2105999Z quantized_decomposed_quantize_per_tensor_default_193: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sub_tensor_2, 0.0005553436931222677, 30616, 0, 65535, torch.int32); aten_sub_tensor_2 = None 2025-06-05T23:26:40.2107057Z 2025-06-05T23:26:40.2108104Z # File: .74:992 in forward, code: dequantize_per_tensor_default_343 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_343, 0.0005553436931222677, 30616, 0, 65535, torch.int32); quantize_per_tensor_default_343 = None 2025-06-05T23:26:40.2110324Z quantized_decomposed_dequantize_per_tensor_default_418: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_193, 0.0005553436931222677, 30616, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_193 = None 2025-06-05T23:26:40.2111797Z 2025-06-05T23:26:40.2112387Z # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos 2025-06-05T23:26:40.2114119Z aten_mul_tensor_19: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_399, quantized_decomposed_dequantize_per_tensor_default_415); quantized_decomposed_dequantize_per_tensor_default_399 = quantized_decomposed_dequantize_per_tensor_default_415 = None 2025-06-05T23:26:40.2116266Z quantized_decomposed_quantize_per_tensor_default_194: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_19, 0.00020952976774424314, 32714, 0, 65535, torch.int32); aten_mul_tensor_19 = None 2025-06-05T23:26:40.2118395Z quantized_decomposed_dequantize_per_tensor_default_419: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_194, 0.00020952976774424314, 32714, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_194 = None 2025-06-05T23:26:40.2120803Z aten_mul_tensor_20: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_402, quantized_decomposed_dequantize_per_tensor_default_410); quantized_decomposed_dequantize_per_tensor_default_402 = quantized_decomposed_dequantize_per_tensor_default_410 = None 2025-06-05T23:26:40.2122901Z quantized_decomposed_quantize_per_tensor_default_195: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_20, 0.0005582913290709257, 30556, 0, 65535, torch.int32); aten_mul_tensor_20 = None 2025-06-05T23:26:40.2125056Z quantized_decomposed_dequantize_per_tensor_default_420: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_195, 0.0005582913290709257, 30556, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_195 = None 2025-06-05T23:26:40.2126181Z aten_add_tensor_5: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_419, quantized_decomposed_dequantize_per_tensor_default_420); quantized_decomposed_dequantize_per_tensor_default_419 = quantized_decomposed_dequantize_per_tensor_default_420 = None 2025-06-05T23:26:40.2127045Z quantized_decomposed_quantize_per_tensor_default_196: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_5, 0.0005553436931222677, 30616, 0, 65535, torch.int32); aten_add_tensor_5 = None 2025-06-05T23:26:40.2127124Z 2025-06-05T23:26:40.2128092Z # File: .74:1001 in forward, code: dequantize_per_tensor_default_346 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_346, 0.0005553436931222677, 30616, 0, 65535, torch.int32); quantize_per_tensor_default_346 = None 2025-06-05T23:26:40.2129257Z quantized_decomposed_dequantize_per_tensor_default_421: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_196, 0.0005553436931222677, 30616, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_196 = None 2025-06-05T23:26:40.2129333Z 2025-06-05T23:26:40.2129805Z # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin 2025-06-05T23:26:40.2130974Z aten_mul_tensor_21: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_405, quantized_decomposed_dequantize_per_tensor_default_409); quantized_decomposed_dequantize_per_tensor_default_405 = quantized_decomposed_dequantize_per_tensor_default_409 = None 2025-06-05T23:26:40.2131833Z quantized_decomposed_quantize_per_tensor_default_197: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_21, 0.00035014102468267083, 33669, 0, 65535, torch.int32); aten_mul_tensor_21 = None 2025-06-05T23:26:40.2133019Z quantized_decomposed_dequantize_per_tensor_default_422: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_197, 0.00035014102468267083, 33669, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_197 = None 2025-06-05T23:26:40.2134151Z aten_mul_tensor_22: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_406, quantized_decomposed_dequantize_per_tensor_default_412); quantized_decomposed_dequantize_per_tensor_default_406 = quantized_decomposed_dequantize_per_tensor_default_412 = None 2025-06-05T23:26:40.2135005Z quantized_decomposed_quantize_per_tensor_default_198: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_22, 0.0002225427160738036, 32972, 0, 65535, torch.int32); aten_mul_tensor_22 = None 2025-06-05T23:26:40.2136168Z quantized_decomposed_dequantize_per_tensor_default_423: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_198, 0.0002225427160738036, 32972, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_198 = None 2025-06-05T23:26:40.2137316Z aten_sub_tensor_3: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(quantized_decomposed_dequantize_per_tensor_default_422, quantized_decomposed_dequantize_per_tensor_default_423); quantized_decomposed_dequantize_per_tensor_default_422 = quantized_decomposed_dequantize_per_tensor_default_423 = None 2025-06-05T23:26:40.2138186Z quantized_decomposed_quantize_per_tensor_default_199: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sub_tensor_3, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_sub_tensor_3 = None 2025-06-05T23:26:40.2138260Z 2025-06-05T23:26:40.2139209Z # File: .74:1010 in forward, code: dequantize_per_tensor_default_349 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_349, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantize_per_tensor_default_349 = None 2025-06-05T23:26:40.2140411Z quantized_decomposed_dequantize_per_tensor_default_424: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_199, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_199 = None 2025-06-05T23:26:40.2140487Z 2025-06-05T23:26:40.2140960Z # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos 2025-06-05T23:26:40.2142097Z aten_mul_tensor_23: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_404, quantized_decomposed_dequantize_per_tensor_default_413); quantized_decomposed_dequantize_per_tensor_default_404 = quantized_decomposed_dequantize_per_tensor_default_413 = None 2025-06-05T23:26:40.2142979Z quantized_decomposed_quantize_per_tensor_default_200: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_23, 0.0002190972154494375, 28074, 0, 65535, torch.int32); aten_mul_tensor_23 = None 2025-06-05T23:26:40.2144150Z quantized_decomposed_dequantize_per_tensor_default_425: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_200, 0.0002190972154494375, 28074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_200 = None 2025-06-05T23:26:40.2145310Z aten_mul_tensor_24: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_407, quantized_decomposed_dequantize_per_tensor_default_408); quantized_decomposed_dequantize_per_tensor_default_407 = quantized_decomposed_dequantize_per_tensor_default_408 = None 2025-06-05T23:26:40.2146192Z quantized_decomposed_quantize_per_tensor_default_201: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_24, 0.00033182575134560466, 34828, 0, 65535, torch.int32); aten_mul_tensor_24 = None 2025-06-05T23:26:40.2147349Z quantized_decomposed_dequantize_per_tensor_default_426: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_201, 0.00033182575134560466, 34828, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_201 = None 2025-06-05T23:26:40.2148475Z aten_add_tensor_6: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_425, quantized_decomposed_dequantize_per_tensor_default_426); quantized_decomposed_dequantize_per_tensor_default_425 = quantized_decomposed_dequantize_per_tensor_default_426 = None 2025-06-05T23:26:40.2149370Z quantized_decomposed_quantize_per_tensor_default_202: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_6, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_add_tensor_6 = None 2025-06-05T23:26:40.2149445Z 2025-06-05T23:26:40.2150401Z # File: .74:1019 in forward, code: dequantize_per_tensor_default_352 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_352, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantize_per_tensor_default_352 = None 2025-06-05T23:26:40.2151620Z quantized_decomposed_dequantize_per_tensor_default_427: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_202, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_202 = None 2025-06-05T23:26:40.2151702Z 2025-06-05T23:26:40.2152270Z # File: /pytorch/executorch/examples/models/llama/rope.py:95 in apply_rotary_emb, code: xq_out = torch.stack([xq_out_r, xq_out_i], dim=-1).flatten(3) 2025-06-05T23:26:40.2153073Z aten_unsqueeze_copy_default_14: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_418, 4); quantized_decomposed_dequantize_per_tensor_default_418 = None 2025-06-05T23:26:40.2153868Z aten_unsqueeze_copy_default_15: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_421, 4); quantized_decomposed_dequantize_per_tensor_default_421 = None 2025-06-05T23:26:40.2154619Z aten_cat_default_4: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_unsqueeze_copy_default_14, aten_unsqueeze_copy_default_15], -1); aten_unsqueeze_copy_default_14 = aten_unsqueeze_copy_default_15 = None 2025-06-05T23:26:40.2155567Z quantized_decomposed_quantize_per_tensor_default_203: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_4, 0.0005553436931222677, 30616, 0, 65535, torch.int32); aten_cat_default_4 = None 2025-06-05T23:26:40.2156731Z quantized_decomposed_dequantize_per_tensor_default_428: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_203, 0.0005553436931222677, 30616, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_203 = None 2025-06-05T23:26:40.2157517Z aten_view_copy_default_25: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_428, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_428 = None 2025-06-05T23:26:40.2158432Z quantized_decomposed_quantize_per_tensor_default_204: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_25, 0.0005553436931222677, 30616, 0, 65535, torch.int32); aten_view_copy_default_25 = None 2025-06-05T23:26:40.2158520Z 2025-06-05T23:26:40.2159458Z # File: .74:1025 in forward, code: dequantize_per_tensor_default_354 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_354, 0.0005553436931222677, 30616, 0, 65535, torch.int32); quantize_per_tensor_default_354 = None 2025-06-05T23:26:40.2160628Z quantized_decomposed_dequantize_per_tensor_default_429: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_204, 0.0005553436931222677, 30616, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_204 = None 2025-06-05T23:26:40.2160732Z 2025-06-05T23:26:40.2161256Z # File: /pytorch/executorch/examples/models/llama/rope.py:96 in apply_rotary_emb, code: xk_out = torch.stack([xk_out_r, xk_out_i], dim=-1).flatten(3) 2025-06-05T23:26:40.2162065Z aten_unsqueeze_copy_default_16: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_424, 4); quantized_decomposed_dequantize_per_tensor_default_424 = None 2025-06-05T23:26:40.2162859Z aten_unsqueeze_copy_default_17: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_427, 4); quantized_decomposed_dequantize_per_tensor_default_427 = None 2025-06-05T23:26:40.2163600Z aten_cat_default_5: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_unsqueeze_copy_default_16, aten_unsqueeze_copy_default_17], -1); aten_unsqueeze_copy_default_16 = aten_unsqueeze_copy_default_17 = None 2025-06-05T23:26:40.2164520Z quantized_decomposed_quantize_per_tensor_default_205: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_5, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_cat_default_5 = None 2025-06-05T23:26:40.2165677Z quantized_decomposed_dequantize_per_tensor_default_430: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_205, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_205 = None 2025-06-05T23:26:40.2166458Z aten_view_copy_default_26: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_430, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_430 = None 2025-06-05T23:26:40.2167397Z quantized_decomposed_quantize_per_tensor_default_206: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_26, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_view_copy_default_26 = None 2025-06-05T23:26:40.2167473Z 2025-06-05T23:26:40.2168428Z # File: .74:1031 in forward, code: dequantize_per_tensor_default_356 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_356, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantize_per_tensor_default_356 = None 2025-06-05T23:26:40.2169636Z quantized_decomposed_dequantize_per_tensor_default_431: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_206, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_206 = None 2025-06-05T23:26:40.2169730Z 2025-06-05T23:26:40.2170488Z # File: .74:1033 in forward, code: quantize_per_tensor_default_357 = torch.ops.quantized_decomposed.quantize_per_tensor.default(type_as_2, 0.0005553436931222677, 30616, 0, 65535, torch.int32); type_as_2 = None 2025-06-05T23:26:40.2171642Z quantized_decomposed_quantize_per_tensor_default_207: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_429, 0.0005553436931222677, 30616, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_429 = None 2025-06-05T23:26:40.2171731Z 2025-06-05T23:26:40.2172259Z # File: /pytorch/executorch/examples/models/llama/attention.py:416 in forward, code: q = q.transpose(1, 2) # (bs, n_local_heads, seqlen, head_dim) 2025-06-05T23:26:40.2173594Z quantized_decomposed_dequantize_per_tensor_default_432: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_207, 0.0005553436931222677, 30616, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_207 = None 2025-06-05T23:26:40.2173759Z 2025-06-05T23:26:40.2174521Z # File: .74:1036 in forward, code: quantize_per_tensor_default_358 = torch.ops.quantized_decomposed.quantize_per_tensor.default(type_as_3, 0.00035046463017351925, 33692, 0, 65535, torch.int32); type_as_3 = None 2025-06-05T23:26:40.2175681Z quantized_decomposed_quantize_per_tensor_default_208: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_431, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_431 = None 2025-06-05T23:26:40.2175774Z 2025-06-05T23:26:40.2176487Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:510 in update, code: k_out = torch.ops.aten.index_put_(self.past_k_caches, [None, input_pos], k_val) 2025-06-05T23:26:40.2177661Z quantized_decomposed_dequantize_per_tensor_default_433: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_208, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_208 = None 2025-06-05T23:26:40.2177736Z 2025-06-05T23:26:40.2178260Z # File: /pytorch/executorch/examples/models/llama/attention.py:416 in forward, code: q = q.transpose(1, 2) # (bs, n_local_heads, seqlen, head_dim) 2025-06-05T23:26:40.2179063Z aten_permute_copy_default_47: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_432, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_432 = None 2025-06-05T23:26:40.2180034Z quantized_decomposed_quantize_per_tensor_default_209: "i32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_47, 0.0005553436931222677, 30616, 0, 65535, torch.int32); aten_permute_copy_default_47 = None 2025-06-05T23:26:40.2180109Z 2025-06-05T23:26:40.2180696Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:324 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-06-05T23:26:40.2181887Z quantized_decomposed_dequantize_per_tensor_default_434: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_209, 0.0005553436931222677, 30616, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_209 = None 2025-06-05T23:26:40.2181971Z 2025-06-05T23:26:40.2182416Z # File: /pytorch/executorch/examples/models/llama/attention.py:435 in forward, code: attn_mask = self.mask[input_pos] 2025-06-05T23:26:40.2183211Z aten_index_tensor_3: "f32[1, 128]" = executorch_exir_dialects_edge__ops_aten_index_Tensor(quantized_decomposed_dequantize_per_tensor_default_116, [attn_options_input_pos]); quantized_decomposed_dequantize_per_tensor_default_116 = None 2025-06-05T23:26:40.2184078Z quantized_decomposed_quantize_per_tensor_default_210: "i32[1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_tensor_3, 0.0038910505827516317, 65535, 0, 65535, torch.int32); aten_index_tensor_3 = None 2025-06-05T23:26:40.2184164Z 2025-06-05T23:26:40.2184641Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:325 in forward, code: attn_weight += attn_mask 2025-06-05T23:26:40.2185834Z quantized_decomposed_dequantize_per_tensor_default_435: "f32[1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_210, 0.0038910505827516317, 65535, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_210 = None 2025-06-05T23:26:40.2185908Z 2025-06-05T23:26:40.2186576Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:510 in update, code: k_out = torch.ops.aten.index_put_(self.past_k_caches, [None, input_pos], k_val) 2025-06-05T23:26:40.2187894Z aten_index_put_default_2: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(quantized_decomposed_dequantize_per_tensor_default_117, [None, attn_options_input_pos], quantized_decomposed_dequantize_per_tensor_default_433); quantized_decomposed_dequantize_per_tensor_default_117 = quantized_decomposed_dequantize_per_tensor_default_433 = None 2025-06-05T23:26:40.2188843Z quantized_decomposed_quantize_per_tensor_default_211: "i32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_put_default_2, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_index_put_default_2 = None 2025-06-05T23:26:40.2188919Z 2025-06-05T23:26:40.2189724Z # File: .74:1046 in forward, code: dequantize_per_tensor_default_361 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_361, 0.00035046463017351925, 33692, 0, 65535, torch.int32) 2025-06-05T23:26:40.2190651Z quantized_decomposed_dequantize_per_tensor_default_436: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_211, 0.00035046463017351925, 33692, 0, 65535, torch.int32) 2025-06-05T23:26:40.2190750Z 2025-06-05T23:26:40.2191476Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.2192412Z quantized_decomposed_dequantize_per_tensor_default_437: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_211, 0.00035046463017351925, 33692, 0, 65535, torch.int32) 2025-06-05T23:26:40.2193352Z quantized_decomposed_dequantize_per_tensor_default_438: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_211, 0.00035046463017351925, 33692, 0, 65535, torch.int32) 2025-06-05T23:26:40.2194314Z quantized_decomposed_dequantize_per_tensor_default_439: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_211, 0.00035046463017351925, 33692, 0, 65535, torch.int32) 2025-06-05T23:26:40.2195245Z quantized_decomposed_dequantize_per_tensor_default_440: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_211, 0.00035046463017351925, 33692, 0, 65535, torch.int32) 2025-06-05T23:26:40.2196184Z quantized_decomposed_dequantize_per_tensor_default_441: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_211, 0.00035046463017351925, 33692, 0, 65535, torch.int32) 2025-06-05T23:26:40.2197109Z quantized_decomposed_dequantize_per_tensor_default_442: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_211, 0.00035046463017351925, 33692, 0, 65535, torch.int32) 2025-06-05T23:26:40.2198080Z quantized_decomposed_dequantize_per_tensor_default_443: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_211, 0.00035046463017351925, 33692, 0, 65535, torch.int32) 2025-06-05T23:26:40.2199005Z quantized_decomposed_dequantize_per_tensor_default_444: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_211, 0.00035046463017351925, 33692, 0, 65535, torch.int32) 2025-06-05T23:26:40.2199930Z quantized_decomposed_dequantize_per_tensor_default_445: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_211, 0.00035046463017351925, 33692, 0, 65535, torch.int32) 2025-06-05T23:26:40.2200892Z quantized_decomposed_dequantize_per_tensor_default_446: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_211, 0.00035046463017351925, 33692, 0, 65535, torch.int32) 2025-06-05T23:26:40.2201819Z quantized_decomposed_dequantize_per_tensor_default_447: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_211, 0.00035046463017351925, 33692, 0, 65535, torch.int32) 2025-06-05T23:26:40.2203001Z quantized_decomposed_dequantize_per_tensor_default_448: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_211, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_211 = None 2025-06-05T23:26:40.2203101Z 2025-06-05T23:26:40.2203776Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:511 in update, code: v_out = torch.ops.aten.index_put_(self.past_v_caches, [None, input_pos], v_val) 2025-06-05T23:26:40.2205086Z aten_index_put_default_3: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(quantized_decomposed_dequantize_per_tensor_default_118, [None, attn_options_input_pos], quantized_decomposed_dequantize_per_tensor_default_397); quantized_decomposed_dequantize_per_tensor_default_118 = quantized_decomposed_dequantize_per_tensor_default_397 = None 2025-06-05T23:26:40.2206012Z quantized_decomposed_quantize_per_tensor_default_212: "i32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_put_default_3, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_index_put_default_3 = None 2025-06-05T23:26:40.2206104Z 2025-06-05T23:26:40.2206896Z # File: .74:1061 in forward, code: dequantize_per_tensor_default_362 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_362, 8.02720314823091e-05, 34074, 0, 65535, torch.int32) 2025-06-05T23:26:40.2207826Z quantized_decomposed_dequantize_per_tensor_default_449: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_212, 8.02720314823091e-05, 34074, 0, 65535, torch.int32) 2025-06-05T23:26:40.2207914Z 2025-06-05T23:26:40.2208554Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.2209485Z quantized_decomposed_dequantize_per_tensor_default_450: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_212, 8.02720314823091e-05, 34074, 0, 65535, torch.int32) 2025-06-05T23:26:40.2210464Z quantized_decomposed_dequantize_per_tensor_default_451: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_212, 8.02720314823091e-05, 34074, 0, 65535, torch.int32) 2025-06-05T23:26:40.2211384Z quantized_decomposed_dequantize_per_tensor_default_452: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_212, 8.02720314823091e-05, 34074, 0, 65535, torch.int32) 2025-06-05T23:26:40.2212319Z quantized_decomposed_dequantize_per_tensor_default_453: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_212, 8.02720314823091e-05, 34074, 0, 65535, torch.int32) 2025-06-05T23:26:40.2217633Z quantized_decomposed_dequantize_per_tensor_default_454: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_212, 8.02720314823091e-05, 34074, 0, 65535, torch.int32) 2025-06-05T23:26:40.2218574Z quantized_decomposed_dequantize_per_tensor_default_455: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_212, 8.02720314823091e-05, 34074, 0, 65535, torch.int32) 2025-06-05T23:26:40.2219515Z quantized_decomposed_dequantize_per_tensor_default_456: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_212, 8.02720314823091e-05, 34074, 0, 65535, torch.int32) 2025-06-05T23:26:40.2220479Z quantized_decomposed_dequantize_per_tensor_default_457: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_212, 8.02720314823091e-05, 34074, 0, 65535, torch.int32) 2025-06-05T23:26:40.2221440Z quantized_decomposed_dequantize_per_tensor_default_458: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_212, 8.02720314823091e-05, 34074, 0, 65535, torch.int32) 2025-06-05T23:26:40.2222369Z quantized_decomposed_dequantize_per_tensor_default_459: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_212, 8.02720314823091e-05, 34074, 0, 65535, torch.int32) 2025-06-05T23:26:40.2223330Z quantized_decomposed_dequantize_per_tensor_default_460: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_212, 8.02720314823091e-05, 34074, 0, 65535, torch.int32) 2025-06-05T23:26:40.2224484Z quantized_decomposed_dequantize_per_tensor_default_461: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_212, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_212 = None 2025-06-05T23:26:40.2224579Z 2025-06-05T23:26:40.2225232Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.2226049Z aten_permute_copy_default_48: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_448, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_448 = None 2025-06-05T23:26:40.2226997Z quantized_decomposed_quantize_per_tensor_default_213: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_48, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_permute_copy_default_48 = None 2025-06-05T23:26:40.2228161Z quantized_decomposed_dequantize_per_tensor_default_462: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_213, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_213 = None 2025-06-05T23:26:40.2228912Z aten_select_copy_int_48: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_462, 0, 0); quantized_decomposed_dequantize_per_tensor_default_462 = None 2025-06-05T23:26:40.2229845Z quantized_decomposed_quantize_per_tensor_default_214: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_48, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_select_copy_int_48 = None 2025-06-05T23:26:40.2231177Z quantized_decomposed_dequantize_per_tensor_default_463: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_214, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_214 = None 2025-06-05T23:26:40.2231916Z aten_select_copy_int_49: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_463, 0, 0); quantized_decomposed_dequantize_per_tensor_default_463 = None 2025-06-05T23:26:40.2232846Z quantized_decomposed_quantize_per_tensor_default_215: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_49, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_select_copy_int_49 = None 2025-06-05T23:26:40.2232942Z 2025-06-05T23:26:40.2233891Z # File: .74:1082 in forward, code: dequantize_per_tensor_default_365 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_365, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantize_per_tensor_default_365 = None 2025-06-05T23:26:40.2235087Z quantized_decomposed_dequantize_per_tensor_default_464: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_215, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_215 = None 2025-06-05T23:26:40.2235183Z 2025-06-05T23:26:40.2235826Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.2236638Z aten_permute_copy_default_49: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_447, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_447 = None 2025-06-05T23:26:40.2237587Z quantized_decomposed_quantize_per_tensor_default_216: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_49, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_permute_copy_default_49 = None 2025-06-05T23:26:40.2238752Z quantized_decomposed_dequantize_per_tensor_default_465: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_216, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_216 = None 2025-06-05T23:26:40.2239503Z aten_select_copy_int_50: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_465, 0, 0); quantized_decomposed_dequantize_per_tensor_default_465 = None 2025-06-05T23:26:40.2240406Z quantized_decomposed_quantize_per_tensor_default_217: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_50, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_select_copy_int_50 = None 2025-06-05T23:26:40.2241584Z quantized_decomposed_dequantize_per_tensor_default_466: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_217, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_217 = None 2025-06-05T23:26:40.2242389Z aten_select_copy_int_51: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_466, 0, 1); quantized_decomposed_dequantize_per_tensor_default_466 = None 2025-06-05T23:26:40.2243289Z quantized_decomposed_quantize_per_tensor_default_218: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_51, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_select_copy_int_51 = None 2025-06-05T23:26:40.2243384Z 2025-06-05T23:26:40.2244335Z # File: .74:1091 in forward, code: dequantize_per_tensor_default_368 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_368, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantize_per_tensor_default_368 = None 2025-06-05T23:26:40.2245540Z quantized_decomposed_dequantize_per_tensor_default_467: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_218, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_218 = None 2025-06-05T23:26:40.2245620Z 2025-06-05T23:26:40.2246261Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.2247105Z aten_permute_copy_default_50: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_446, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_446 = None 2025-06-05T23:26:40.2248056Z quantized_decomposed_quantize_per_tensor_default_219: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_50, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_permute_copy_default_50 = None 2025-06-05T23:26:40.2249227Z quantized_decomposed_dequantize_per_tensor_default_468: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_219, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_219 = None 2025-06-05T23:26:40.2249976Z aten_select_copy_int_52: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_468, 0, 0); quantized_decomposed_dequantize_per_tensor_default_468 = None 2025-06-05T23:26:40.2250879Z quantized_decomposed_quantize_per_tensor_default_220: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_52, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_select_copy_int_52 = None 2025-06-05T23:26:40.2252058Z quantized_decomposed_dequantize_per_tensor_default_469: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_220, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_220 = None 2025-06-05T23:26:40.2252788Z aten_select_copy_int_53: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_469, 0, 2); quantized_decomposed_dequantize_per_tensor_default_469 = None 2025-06-05T23:26:40.2253686Z quantized_decomposed_quantize_per_tensor_default_221: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_53, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_select_copy_int_53 = None 2025-06-05T23:26:40.2253815Z 2025-06-05T23:26:40.2254787Z # File: .74:1100 in forward, code: dequantize_per_tensor_default_371 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_371, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantize_per_tensor_default_371 = None 2025-06-05T23:26:40.2255960Z quantized_decomposed_dequantize_per_tensor_default_470: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_221, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_221 = None 2025-06-05T23:26:40.2256038Z 2025-06-05T23:26:40.2256684Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.2257545Z aten_permute_copy_default_51: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_445, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_445 = None 2025-06-05T23:26:40.2258488Z quantized_decomposed_quantize_per_tensor_default_222: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_51, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_permute_copy_default_51 = None 2025-06-05T23:26:40.2259678Z quantized_decomposed_dequantize_per_tensor_default_471: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_222, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_222 = None 2025-06-05T23:26:40.2260437Z aten_select_copy_int_54: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_471, 0, 0); quantized_decomposed_dequantize_per_tensor_default_471 = None 2025-06-05T23:26:40.2261339Z quantized_decomposed_quantize_per_tensor_default_223: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_54, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_select_copy_int_54 = None 2025-06-05T23:26:40.2262514Z quantized_decomposed_dequantize_per_tensor_default_472: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_223, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_223 = None 2025-06-05T23:26:40.2263243Z aten_select_copy_int_55: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_472, 0, 3); quantized_decomposed_dequantize_per_tensor_default_472 = None 2025-06-05T23:26:40.2264153Z quantized_decomposed_quantize_per_tensor_default_224: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_55, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_select_copy_int_55 = None 2025-06-05T23:26:40.2264232Z 2025-06-05T23:26:40.2265176Z # File: .74:1109 in forward, code: dequantize_per_tensor_default_374 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_374, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantize_per_tensor_default_374 = None 2025-06-05T23:26:40.2266381Z quantized_decomposed_dequantize_per_tensor_default_473: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_224, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_224 = None 2025-06-05T23:26:40.2266487Z 2025-06-05T23:26:40.2267131Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.2267938Z aten_permute_copy_default_52: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_444, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_444 = None 2025-06-05T23:26:40.2268889Z quantized_decomposed_quantize_per_tensor_default_225: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_52, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_permute_copy_default_52 = None 2025-06-05T23:26:40.2270103Z quantized_decomposed_dequantize_per_tensor_default_474: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_225, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_225 = None 2025-06-05T23:26:40.2270908Z aten_select_copy_int_56: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_474, 0, 0); quantized_decomposed_dequantize_per_tensor_default_474 = None 2025-06-05T23:26:40.2271852Z quantized_decomposed_quantize_per_tensor_default_226: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_56, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_select_copy_int_56 = None 2025-06-05T23:26:40.2273263Z quantized_decomposed_dequantize_per_tensor_default_475: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_226, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_226 = None 2025-06-05T23:26:40.2273996Z aten_select_copy_int_57: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_475, 0, 4); quantized_decomposed_dequantize_per_tensor_default_475 = None 2025-06-05T23:26:40.2274903Z quantized_decomposed_quantize_per_tensor_default_227: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_57, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_select_copy_int_57 = None 2025-06-05T23:26:40.2274979Z 2025-06-05T23:26:40.2275923Z # File: .74:1118 in forward, code: dequantize_per_tensor_default_377 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_377, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantize_per_tensor_default_377 = None 2025-06-05T23:26:40.2277087Z quantized_decomposed_dequantize_per_tensor_default_476: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_227, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_227 = None 2025-06-05T23:26:40.2277162Z 2025-06-05T23:26:40.2277801Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.2278712Z aten_permute_copy_default_53: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_443, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_443 = None 2025-06-05T23:26:40.2279705Z quantized_decomposed_quantize_per_tensor_default_228: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_53, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_permute_copy_default_53 = None 2025-06-05T23:26:40.2280880Z quantized_decomposed_dequantize_per_tensor_default_477: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_228, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_228 = None 2025-06-05T23:26:40.2281623Z aten_select_copy_int_58: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_477, 0, 0); quantized_decomposed_dequantize_per_tensor_default_477 = None 2025-06-05T23:26:40.2282567Z quantized_decomposed_quantize_per_tensor_default_229: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_58, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_select_copy_int_58 = None 2025-06-05T23:26:40.2283739Z quantized_decomposed_dequantize_per_tensor_default_478: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_229, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_229 = None 2025-06-05T23:26:40.2284505Z aten_select_copy_int_59: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_478, 0, 5); quantized_decomposed_dequantize_per_tensor_default_478 = None 2025-06-05T23:26:40.2285420Z quantized_decomposed_quantize_per_tensor_default_230: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_59, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_select_copy_int_59 = None 2025-06-05T23:26:40.2285498Z 2025-06-05T23:26:40.2286442Z # File: .74:1127 in forward, code: dequantize_per_tensor_default_380 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_380, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantize_per_tensor_default_380 = None 2025-06-05T23:26:40.2287617Z quantized_decomposed_dequantize_per_tensor_default_479: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_230, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_230 = None 2025-06-05T23:26:40.2287697Z 2025-06-05T23:26:40.2288343Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.2289153Z aten_permute_copy_default_54: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_442, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_442 = None 2025-06-05T23:26:40.2290100Z quantized_decomposed_quantize_per_tensor_default_231: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_54, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_permute_copy_default_54 = None 2025-06-05T23:26:40.2291313Z quantized_decomposed_dequantize_per_tensor_default_480: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_231, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_231 = None 2025-06-05T23:26:40.2292081Z aten_select_copy_int_60: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_480, 0, 0); quantized_decomposed_dequantize_per_tensor_default_480 = None 2025-06-05T23:26:40.2292979Z quantized_decomposed_quantize_per_tensor_default_232: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_60, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_select_copy_int_60 = None 2025-06-05T23:26:40.2294148Z quantized_decomposed_dequantize_per_tensor_default_481: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_232, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_232 = None 2025-06-05T23:26:40.2294906Z aten_select_copy_int_61: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_481, 0, 6); quantized_decomposed_dequantize_per_tensor_default_481 = None 2025-06-05T23:26:40.2295816Z quantized_decomposed_quantize_per_tensor_default_233: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_61, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_select_copy_int_61 = None 2025-06-05T23:26:40.2295892Z 2025-06-05T23:26:40.2296872Z # File: .74:1136 in forward, code: dequantize_per_tensor_default_383 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_383, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantize_per_tensor_default_383 = None 2025-06-05T23:26:40.2298054Z quantized_decomposed_dequantize_per_tensor_default_482: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_233, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_233 = None 2025-06-05T23:26:40.2298129Z 2025-06-05T23:26:40.2298764Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.2299576Z aten_permute_copy_default_55: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_441, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_441 = None 2025-06-05T23:26:40.2300530Z quantized_decomposed_quantize_per_tensor_default_234: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_55, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_permute_copy_default_55 = None 2025-06-05T23:26:40.2301710Z quantized_decomposed_dequantize_per_tensor_default_483: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_234, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_234 = None 2025-06-05T23:26:40.2302446Z aten_select_copy_int_62: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_483, 0, 0); quantized_decomposed_dequantize_per_tensor_default_483 = None 2025-06-05T23:26:40.2303388Z quantized_decomposed_quantize_per_tensor_default_235: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_62, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_select_copy_int_62 = None 2025-06-05T23:26:40.2304595Z quantized_decomposed_dequantize_per_tensor_default_484: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_235, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_235 = None 2025-06-05T23:26:40.2305333Z aten_select_copy_int_63: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_484, 0, 7); quantized_decomposed_dequantize_per_tensor_default_484 = None 2025-06-05T23:26:40.2306265Z quantized_decomposed_quantize_per_tensor_default_236: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_63, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_select_copy_int_63 = None 2025-06-05T23:26:40.2306342Z 2025-06-05T23:26:40.2307287Z # File: .74:1145 in forward, code: dequantize_per_tensor_default_386 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_386, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantize_per_tensor_default_386 = None 2025-06-05T23:26:40.2308481Z quantized_decomposed_dequantize_per_tensor_default_485: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_236, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_236 = None 2025-06-05T23:26:40.2308560Z 2025-06-05T23:26:40.2309216Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.2310013Z aten_permute_copy_default_56: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_440, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_440 = None 2025-06-05T23:26:40.2311037Z quantized_decomposed_quantize_per_tensor_default_237: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_56, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_permute_copy_default_56 = None 2025-06-05T23:26:40.2312226Z quantized_decomposed_dequantize_per_tensor_default_486: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_237, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_237 = None 2025-06-05T23:26:40.2312963Z aten_select_copy_int_64: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_486, 0, 0); quantized_decomposed_dequantize_per_tensor_default_486 = None 2025-06-05T23:26:40.2313875Z quantized_decomposed_quantize_per_tensor_default_238: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_64, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_select_copy_int_64 = None 2025-06-05T23:26:40.2315046Z quantized_decomposed_dequantize_per_tensor_default_487: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_238, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_238 = None 2025-06-05T23:26:40.2315840Z aten_select_copy_int_65: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_487, 0, 8); quantized_decomposed_dequantize_per_tensor_default_487 = None 2025-06-05T23:26:40.2316752Z quantized_decomposed_quantize_per_tensor_default_239: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_65, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_select_copy_int_65 = None 2025-06-05T23:26:40.2316829Z 2025-06-05T23:26:40.2317778Z # File: .74:1154 in forward, code: dequantize_per_tensor_default_389 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_389, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantize_per_tensor_default_389 = None 2025-06-05T23:26:40.2318978Z quantized_decomposed_dequantize_per_tensor_default_488: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_239, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_239 = None 2025-06-05T23:26:40.2319056Z 2025-06-05T23:26:40.2319708Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.2320505Z aten_permute_copy_default_57: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_439, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_439 = None 2025-06-05T23:26:40.2321480Z quantized_decomposed_quantize_per_tensor_default_240: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_57, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_permute_copy_default_57 = None 2025-06-05T23:26:40.2322666Z quantized_decomposed_dequantize_per_tensor_default_489: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_240, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_240 = None 2025-06-05T23:26:40.2323401Z aten_select_copy_int_66: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_489, 0, 0); quantized_decomposed_dequantize_per_tensor_default_489 = None 2025-06-05T23:26:40.2324313Z quantized_decomposed_quantize_per_tensor_default_241: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_66, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_select_copy_int_66 = None 2025-06-05T23:26:40.2325484Z quantized_decomposed_dequantize_per_tensor_default_490: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_241, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_241 = None 2025-06-05T23:26:40.2326214Z aten_select_copy_int_67: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_490, 0, 9); quantized_decomposed_dequantize_per_tensor_default_490 = None 2025-06-05T23:26:40.2327117Z quantized_decomposed_quantize_per_tensor_default_242: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_67, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_select_copy_int_67 = None 2025-06-05T23:26:40.2327234Z 2025-06-05T23:26:40.2328221Z # File: .74:1163 in forward, code: dequantize_per_tensor_default_392 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_392, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantize_per_tensor_default_392 = None 2025-06-05T23:26:40.2329384Z quantized_decomposed_dequantize_per_tensor_default_491: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_242, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_242 = None 2025-06-05T23:26:40.2329458Z 2025-06-05T23:26:40.2330108Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.2330934Z aten_permute_copy_default_58: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_438, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_438 = None 2025-06-05T23:26:40.2331883Z quantized_decomposed_quantize_per_tensor_default_243: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_58, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_permute_copy_default_58 = None 2025-06-05T23:26:40.2333088Z quantized_decomposed_dequantize_per_tensor_default_492: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_243, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_243 = None 2025-06-05T23:26:40.2333826Z aten_select_copy_int_68: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_492, 0, 0); quantized_decomposed_dequantize_per_tensor_default_492 = None 2025-06-05T23:26:40.2334734Z quantized_decomposed_quantize_per_tensor_default_244: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_68, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_select_copy_int_68 = None 2025-06-05T23:26:40.2335899Z quantized_decomposed_dequantize_per_tensor_default_493: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_244, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_244 = None 2025-06-05T23:26:40.2336644Z aten_select_copy_int_69: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_493, 0, 10); quantized_decomposed_dequantize_per_tensor_default_493 = None 2025-06-05T23:26:40.2337538Z quantized_decomposed_quantize_per_tensor_default_245: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_69, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_select_copy_int_69 = None 2025-06-05T23:26:40.2337612Z 2025-06-05T23:26:40.2338570Z # File: .74:1172 in forward, code: dequantize_per_tensor_default_395 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_395, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantize_per_tensor_default_395 = None 2025-06-05T23:26:40.2339755Z quantized_decomposed_dequantize_per_tensor_default_494: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_245, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_245 = None 2025-06-05T23:26:40.2339860Z 2025-06-05T23:26:40.2340511Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.2341312Z aten_permute_copy_default_59: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_437, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_437 = None 2025-06-05T23:26:40.2342257Z quantized_decomposed_quantize_per_tensor_default_246: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_59, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_permute_copy_default_59 = None 2025-06-05T23:26:40.2343457Z quantized_decomposed_dequantize_per_tensor_default_495: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_246, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_246 = None 2025-06-05T23:26:40.2344189Z aten_select_copy_int_70: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_495, 0, 0); quantized_decomposed_dequantize_per_tensor_default_495 = None 2025-06-05T23:26:40.2345133Z quantized_decomposed_quantize_per_tensor_default_247: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_70, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_select_copy_int_70 = None 2025-06-05T23:26:40.2346302Z quantized_decomposed_dequantize_per_tensor_default_496: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_247, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_247 = None 2025-06-05T23:26:40.2347041Z aten_select_copy_int_71: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_496, 0, 11); quantized_decomposed_dequantize_per_tensor_default_496 = None 2025-06-05T23:26:40.2347933Z quantized_decomposed_quantize_per_tensor_default_248: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_71, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_select_copy_int_71 = None 2025-06-05T23:26:40.2348009Z 2025-06-05T23:26:40.2348963Z # File: .74:1181 in forward, code: dequantize_per_tensor_default_398 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_398, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantize_per_tensor_default_398 = None 2025-06-05T23:26:40.2350118Z quantized_decomposed_dequantize_per_tensor_default_497: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_248, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_248 = None 2025-06-05T23:26:40.2350193Z 2025-06-05T23:26:40.2350910Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.2356535Z aten_cat_default_6: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([quantized_decomposed_dequantize_per_tensor_default_464, quantized_decomposed_dequantize_per_tensor_default_467, quantized_decomposed_dequantize_per_tensor_default_470, quantized_decomposed_dequantize_per_tensor_default_473, quantized_decomposed_dequantize_per_tensor_default_476, quantized_decomposed_dequantize_per_tensor_default_479, quantized_decomposed_dequantize_per_tensor_default_482, quantized_decomposed_dequantize_per_tensor_default_485, quantized_decomposed_dequantize_per_tensor_default_488, quantized_decomposed_dequantize_per_tensor_default_491, quantized_decomposed_dequantize_per_tensor_default_494, quantized_decomposed_dequantize_per_tensor_default_497]); quantized_decomposed_dequantize_per_tensor_default_464 = quantized_decomposed_dequantize_per_tensor_default_467 = quantized_decomposed_dequantize_per_tensor_default_470 = quantized_decomposed_dequantize_per_tensor_default_473 = quantized_decomposed_dequantize_per_tensor_default_476 = quantized_decomposed_dequantize_per_tensor_default_479 = quantized_decomposed_dequantize_per_tensor_default_482 = quantized_decomposed_dequantize_per_tensor_default_485 = quantized_decomposed_dequantize_per_tensor_default_488 = quantized_decomposed_dequantize_per_tensor_default_491 = quantized_decomposed_dequantize_per_tensor_default_494 = quantized_decomposed_dequantize_per_tensor_default_497 = None 2025-06-05T23:26:40.2357478Z quantized_decomposed_quantize_per_tensor_default_249: "i32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_6, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_cat_default_6 = None 2025-06-05T23:26:40.2358670Z quantized_decomposed_dequantize_per_tensor_default_498: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_249, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_249 = None 2025-06-05T23:26:40.2359455Z aten_view_copy_default_27: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_498, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_498 = None 2025-06-05T23:26:40.2360374Z quantized_decomposed_quantize_per_tensor_default_250: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_27, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_view_copy_default_27 = None 2025-06-05T23:26:40.2360462Z 2025-06-05T23:26:40.2361044Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:324 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-06-05T23:26:40.2362214Z quantized_decomposed_dequantize_per_tensor_default_499: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_250, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_250 = None 2025-06-05T23:26:40.2362308Z 2025-06-05T23:26:40.2362945Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.2363742Z aten_permute_copy_default_60: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_461, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_461 = None 2025-06-05T23:26:40.2364692Z quantized_decomposed_quantize_per_tensor_default_251: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_60, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_permute_copy_default_60 = None 2025-06-05T23:26:40.2366098Z quantized_decomposed_dequantize_per_tensor_default_500: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_251, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_251 = None 2025-06-05T23:26:40.2366845Z aten_select_copy_int_72: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_500, 0, 0); quantized_decomposed_dequantize_per_tensor_default_500 = None 2025-06-05T23:26:40.2367734Z quantized_decomposed_quantize_per_tensor_default_252: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_72, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_select_copy_int_72 = None 2025-06-05T23:26:40.2368932Z quantized_decomposed_dequantize_per_tensor_default_501: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_252, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_252 = None 2025-06-05T23:26:40.2369660Z aten_select_copy_int_73: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_501, 0, 0); quantized_decomposed_dequantize_per_tensor_default_501 = None 2025-06-05T23:26:40.2370539Z quantized_decomposed_quantize_per_tensor_default_253: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_73, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_select_copy_int_73 = None 2025-06-05T23:26:40.2370658Z 2025-06-05T23:26:40.2371593Z # File: .74:1196 in forward, code: dequantize_per_tensor_default_403 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_403, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantize_per_tensor_default_403 = None 2025-06-05T23:26:40.2372917Z quantized_decomposed_dequantize_per_tensor_default_502: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_253, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_253 = None 2025-06-05T23:26:40.2373004Z 2025-06-05T23:26:40.2373643Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.2374463Z aten_permute_copy_default_61: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_460, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_460 = None 2025-06-05T23:26:40.2375397Z quantized_decomposed_quantize_per_tensor_default_254: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_61, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_permute_copy_default_61 = None 2025-06-05T23:26:40.2376547Z quantized_decomposed_dequantize_per_tensor_default_503: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_254, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_254 = None 2025-06-05T23:26:40.2377293Z aten_select_copy_int_74: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_503, 0, 0); quantized_decomposed_dequantize_per_tensor_default_503 = None 2025-06-05T23:26:40.2378323Z quantized_decomposed_quantize_per_tensor_default_255: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_74, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_select_copy_int_74 = None 2025-06-05T23:26:40.2379487Z quantized_decomposed_dequantize_per_tensor_default_504: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_255, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_255 = None 2025-06-05T23:26:40.2380213Z aten_select_copy_int_75: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_504, 0, 1); quantized_decomposed_dequantize_per_tensor_default_504 = None 2025-06-05T23:26:40.2381129Z quantized_decomposed_quantize_per_tensor_default_256: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_75, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_select_copy_int_75 = None 2025-06-05T23:26:40.2381219Z 2025-06-05T23:26:40.2382161Z # File: .74:1205 in forward, code: dequantize_per_tensor_default_406 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_406, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantize_per_tensor_default_406 = None 2025-06-05T23:26:40.2383354Z quantized_decomposed_dequantize_per_tensor_default_505: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_256, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_256 = None 2025-06-05T23:26:40.2383433Z 2025-06-05T23:26:40.2384077Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.2384889Z aten_permute_copy_default_62: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_459, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_459 = None 2025-06-05T23:26:40.2385822Z quantized_decomposed_quantize_per_tensor_default_257: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_62, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_permute_copy_default_62 = None 2025-06-05T23:26:40.2386975Z quantized_decomposed_dequantize_per_tensor_default_506: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_257, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_257 = None 2025-06-05T23:26:40.2387726Z aten_select_copy_int_76: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_506, 0, 0); quantized_decomposed_dequantize_per_tensor_default_506 = None 2025-06-05T23:26:40.2388608Z quantized_decomposed_quantize_per_tensor_default_258: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_76, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_select_copy_int_76 = None 2025-06-05T23:26:40.2389801Z quantized_decomposed_dequantize_per_tensor_default_507: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_258, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_258 = None 2025-06-05T23:26:40.2390566Z aten_select_copy_int_77: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_507, 0, 2); quantized_decomposed_dequantize_per_tensor_default_507 = None 2025-06-05T23:26:40.2391557Z quantized_decomposed_quantize_per_tensor_default_259: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_77, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_select_copy_int_77 = None 2025-06-05T23:26:40.2391636Z 2025-06-05T23:26:40.2392572Z # File: .74:1214 in forward, code: dequantize_per_tensor_default_409 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_409, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantize_per_tensor_default_409 = None 2025-06-05T23:26:40.2393772Z quantized_decomposed_dequantize_per_tensor_default_508: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_259, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_259 = None 2025-06-05T23:26:40.2393849Z 2025-06-05T23:26:40.2394491Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.2395347Z aten_permute_copy_default_63: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_458, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_458 = None 2025-06-05T23:26:40.2396284Z quantized_decomposed_quantize_per_tensor_default_260: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_63, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_permute_copy_default_63 = None 2025-06-05T23:26:40.2397462Z quantized_decomposed_dequantize_per_tensor_default_509: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_260, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_260 = None 2025-06-05T23:26:40.2398195Z aten_select_copy_int_78: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_509, 0, 0); quantized_decomposed_dequantize_per_tensor_default_509 = None 2025-06-05T23:26:40.2399086Z quantized_decomposed_quantize_per_tensor_default_261: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_78, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_select_copy_int_78 = None 2025-06-05T23:26:40.2400249Z quantized_decomposed_dequantize_per_tensor_default_510: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_261, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_261 = None 2025-06-05T23:26:40.2400981Z aten_select_copy_int_79: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_510, 0, 3); quantized_decomposed_dequantize_per_tensor_default_510 = None 2025-06-05T23:26:40.2401878Z quantized_decomposed_quantize_per_tensor_default_262: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_79, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_select_copy_int_79 = None 2025-06-05T23:26:40.2402015Z 2025-06-05T23:26:40.2402948Z # File: .74:1223 in forward, code: dequantize_per_tensor_default_412 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_412, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantize_per_tensor_default_412 = None 2025-06-05T23:26:40.2404113Z quantized_decomposed_dequantize_per_tensor_default_511: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_262, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_262 = None 2025-06-05T23:26:40.2404191Z 2025-06-05T23:26:40.2404833Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.2405676Z aten_permute_copy_default_64: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_457, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_457 = None 2025-06-05T23:26:40.2406615Z quantized_decomposed_quantize_per_tensor_default_263: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_64, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_permute_copy_default_64 = None 2025-06-05T23:26:40.2407804Z quantized_decomposed_dequantize_per_tensor_default_512: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_263, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_263 = None 2025-06-05T23:26:40.2408545Z aten_select_copy_int_80: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_512, 0, 0); quantized_decomposed_dequantize_per_tensor_default_512 = None 2025-06-05T23:26:40.2409429Z quantized_decomposed_quantize_per_tensor_default_264: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_80, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_select_copy_int_80 = None 2025-06-05T23:26:40.2410591Z quantized_decomposed_dequantize_per_tensor_default_513: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_264, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_264 = None 2025-06-05T23:26:40.2411323Z aten_select_copy_int_81: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_513, 0, 4); quantized_decomposed_dequantize_per_tensor_default_513 = None 2025-06-05T23:26:40.2412224Z quantized_decomposed_quantize_per_tensor_default_265: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_81, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_select_copy_int_81 = None 2025-06-05T23:26:40.2412302Z 2025-06-05T23:26:40.2413237Z # File: .74:1232 in forward, code: dequantize_per_tensor_default_415 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_415, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantize_per_tensor_default_415 = None 2025-06-05T23:26:40.2414422Z quantized_decomposed_dequantize_per_tensor_default_514: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_265, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_265 = None 2025-06-05T23:26:40.2414528Z 2025-06-05T23:26:40.2415171Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.2415980Z aten_permute_copy_default_65: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_456, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_456 = None 2025-06-05T23:26:40.2416912Z quantized_decomposed_quantize_per_tensor_default_266: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_65, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_permute_copy_default_65 = None 2025-06-05T23:26:40.2418108Z quantized_decomposed_dequantize_per_tensor_default_515: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_266, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_266 = None 2025-06-05T23:26:40.2418840Z aten_select_copy_int_82: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_515, 0, 0); quantized_decomposed_dequantize_per_tensor_default_515 = None 2025-06-05T23:26:40.2419748Z quantized_decomposed_quantize_per_tensor_default_267: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_82, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_select_copy_int_82 = None 2025-06-05T23:26:40.2420906Z quantized_decomposed_dequantize_per_tensor_default_516: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_267, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_267 = None 2025-06-05T23:26:40.2421634Z aten_select_copy_int_83: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_516, 0, 5); quantized_decomposed_dequantize_per_tensor_default_516 = None 2025-06-05T23:26:40.2422525Z quantized_decomposed_quantize_per_tensor_default_268: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_83, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_select_copy_int_83 = None 2025-06-05T23:26:40.2422603Z 2025-06-05T23:26:40.2423535Z # File: .74:1241 in forward, code: dequantize_per_tensor_default_418 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_418, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantize_per_tensor_default_418 = None 2025-06-05T23:26:40.2424691Z quantized_decomposed_dequantize_per_tensor_default_517: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_268, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_268 = None 2025-06-05T23:26:40.2424766Z 2025-06-05T23:26:40.2425417Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.2426243Z aten_permute_copy_default_66: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_455, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_455 = None 2025-06-05T23:26:40.2427217Z quantized_decomposed_quantize_per_tensor_default_269: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_66, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_permute_copy_default_66 = None 2025-06-05T23:26:40.2428383Z quantized_decomposed_dequantize_per_tensor_default_518: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_269, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_269 = None 2025-06-05T23:26:40.2429120Z aten_select_copy_int_84: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_518, 0, 0); quantized_decomposed_dequantize_per_tensor_default_518 = None 2025-06-05T23:26:40.2430041Z quantized_decomposed_quantize_per_tensor_default_270: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_84, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_select_copy_int_84 = None 2025-06-05T23:26:40.2431274Z quantized_decomposed_dequantize_per_tensor_default_519: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_270, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_270 = None 2025-06-05T23:26:40.2432026Z aten_select_copy_int_85: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_519, 0, 6); quantized_decomposed_dequantize_per_tensor_default_519 = None 2025-06-05T23:26:40.2432924Z quantized_decomposed_quantize_per_tensor_default_271: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_85, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_select_copy_int_85 = None 2025-06-05T23:26:40.2433002Z 2025-06-05T23:26:40.2433932Z # File: .74:1250 in forward, code: dequantize_per_tensor_default_421 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_421, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantize_per_tensor_default_421 = None 2025-06-05T23:26:40.2435101Z quantized_decomposed_dequantize_per_tensor_default_520: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_271, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_271 = None 2025-06-05T23:26:40.2435179Z 2025-06-05T23:26:40.2435835Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.2436641Z aten_permute_copy_default_67: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_454, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_454 = None 2025-06-05T23:26:40.2437579Z quantized_decomposed_quantize_per_tensor_default_272: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_67, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_permute_copy_default_67 = None 2025-06-05T23:26:40.2438770Z quantized_decomposed_dequantize_per_tensor_default_521: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_272, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_272 = None 2025-06-05T23:26:40.2439530Z aten_select_copy_int_86: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_521, 0, 0); quantized_decomposed_dequantize_per_tensor_default_521 = None 2025-06-05T23:26:40.2440434Z quantized_decomposed_quantize_per_tensor_default_273: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_86, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_select_copy_int_86 = None 2025-06-05T23:26:40.2441587Z quantized_decomposed_dequantize_per_tensor_default_522: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_273, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_273 = None 2025-06-05T23:26:40.2442355Z aten_select_copy_int_87: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_522, 0, 7); quantized_decomposed_dequantize_per_tensor_default_522 = None 2025-06-05T23:26:40.2443251Z quantized_decomposed_quantize_per_tensor_default_274: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_87, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_select_copy_int_87 = None 2025-06-05T23:26:40.2443325Z 2025-06-05T23:26:40.2444295Z # File: .74:1259 in forward, code: dequantize_per_tensor_default_424 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_424, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantize_per_tensor_default_424 = None 2025-06-05T23:26:40.2445452Z quantized_decomposed_dequantize_per_tensor_default_523: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_274, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_274 = None 2025-06-05T23:26:40.2445528Z 2025-06-05T23:26:40.2446184Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.2446986Z aten_permute_copy_default_68: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_453, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_453 = None 2025-06-05T23:26:40.2447918Z quantized_decomposed_quantize_per_tensor_default_275: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_68, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_permute_copy_default_68 = None 2025-06-05T23:26:40.2449082Z quantized_decomposed_dequantize_per_tensor_default_524: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_275, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_275 = None 2025-06-05T23:26:40.2449821Z aten_select_copy_int_88: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_524, 0, 0); quantized_decomposed_dequantize_per_tensor_default_524 = None 2025-06-05T23:26:40.2450750Z quantized_decomposed_quantize_per_tensor_default_276: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_88, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_select_copy_int_88 = None 2025-06-05T23:26:40.2451927Z quantized_decomposed_dequantize_per_tensor_default_525: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_276, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_276 = None 2025-06-05T23:26:40.2452652Z aten_select_copy_int_89: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_525, 0, 8); quantized_decomposed_dequantize_per_tensor_default_525 = None 2025-06-05T23:26:40.2453542Z quantized_decomposed_quantize_per_tensor_default_277: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_89, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_select_copy_int_89 = None 2025-06-05T23:26:40.2453645Z 2025-06-05T23:26:40.2454592Z # File: .74:1268 in forward, code: dequantize_per_tensor_default_427 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_427, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantize_per_tensor_default_427 = None 2025-06-05T23:26:40.2455732Z quantized_decomposed_dequantize_per_tensor_default_526: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_277, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_277 = None 2025-06-05T23:26:40.2455830Z 2025-06-05T23:26:40.2456489Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.2457285Z aten_permute_copy_default_69: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_452, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_452 = None 2025-06-05T23:26:40.2458218Z quantized_decomposed_quantize_per_tensor_default_278: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_69, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_permute_copy_default_69 = None 2025-06-05T23:26:40.2459383Z quantized_decomposed_dequantize_per_tensor_default_527: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_278, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_278 = None 2025-06-05T23:26:40.2460121Z aten_select_copy_int_90: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_527, 0, 0); quantized_decomposed_dequantize_per_tensor_default_527 = None 2025-06-05T23:26:40.2461016Z quantized_decomposed_quantize_per_tensor_default_279: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_90, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_select_copy_int_90 = None 2025-06-05T23:26:40.2462175Z quantized_decomposed_dequantize_per_tensor_default_528: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_279, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_279 = None 2025-06-05T23:26:40.2462964Z aten_select_copy_int_91: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_528, 0, 9); quantized_decomposed_dequantize_per_tensor_default_528 = None 2025-06-05T23:26:40.2463841Z quantized_decomposed_quantize_per_tensor_default_280: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_91, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_select_copy_int_91 = None 2025-06-05T23:26:40.2463917Z 2025-06-05T23:26:40.2464859Z # File: .74:1277 in forward, code: dequantize_per_tensor_default_430 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_430, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantize_per_tensor_default_430 = None 2025-06-05T23:26:40.2466035Z quantized_decomposed_dequantize_per_tensor_default_529: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_280, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_280 = None 2025-06-05T23:26:40.2466112Z 2025-06-05T23:26:40.2466765Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.2467560Z aten_permute_copy_default_70: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_451, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_451 = None 2025-06-05T23:26:40.2468513Z quantized_decomposed_quantize_per_tensor_default_281: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_70, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_permute_copy_default_70 = None 2025-06-05T23:26:40.2469675Z quantized_decomposed_dequantize_per_tensor_default_530: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_281, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_281 = None 2025-06-05T23:26:40.2470404Z aten_select_copy_int_92: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_530, 0, 0); quantized_decomposed_dequantize_per_tensor_default_530 = None 2025-06-05T23:26:40.2471380Z quantized_decomposed_quantize_per_tensor_default_282: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_92, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_select_copy_int_92 = None 2025-06-05T23:26:40.2472537Z quantized_decomposed_dequantize_per_tensor_default_531: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_282, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_282 = None 2025-06-05T23:26:40.2473899Z aten_select_copy_int_93: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_531, 0, 10); quantized_decomposed_dequantize_per_tensor_default_531 = None 2025-06-05T23:26:40.2474781Z quantized_decomposed_quantize_per_tensor_default_283: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_93, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_select_copy_int_93 = None 2025-06-05T23:26:40.2474860Z 2025-06-05T23:26:40.2475937Z # File: .74:1286 in forward, code: dequantize_per_tensor_default_433 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_433, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantize_per_tensor_default_433 = None 2025-06-05T23:26:40.2477083Z quantized_decomposed_dequantize_per_tensor_default_532: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_283, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_283 = None 2025-06-05T23:26:40.2477161Z 2025-06-05T23:26:40.2477822Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.2478665Z aten_permute_copy_default_71: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_450, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_450 = None 2025-06-05T23:26:40.2479619Z quantized_decomposed_quantize_per_tensor_default_284: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_71, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_permute_copy_default_71 = None 2025-06-05T23:26:40.2480810Z quantized_decomposed_dequantize_per_tensor_default_533: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_284, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_284 = None 2025-06-05T23:26:40.2481546Z aten_select_copy_int_94: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_533, 0, 0); quantized_decomposed_dequantize_per_tensor_default_533 = None 2025-06-05T23:26:40.2482442Z quantized_decomposed_quantize_per_tensor_default_285: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_94, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_select_copy_int_94 = None 2025-06-05T23:26:40.2483591Z quantized_decomposed_dequantize_per_tensor_default_534: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_285, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_285 = None 2025-06-05T23:26:40.2484336Z aten_select_copy_int_95: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_534, 0, 11); quantized_decomposed_dequantize_per_tensor_default_534 = None 2025-06-05T23:26:40.2485217Z quantized_decomposed_quantize_per_tensor_default_286: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_95, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_select_copy_int_95 = None 2025-06-05T23:26:40.2485293Z 2025-06-05T23:26:40.2486235Z # File: .74:1295 in forward, code: dequantize_per_tensor_default_436 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_436, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantize_per_tensor_default_436 = None 2025-06-05T23:26:40.2487382Z quantized_decomposed_dequantize_per_tensor_default_535: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_286, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_286 = None 2025-06-05T23:26:40.2487520Z 2025-06-05T23:26:40.2488173Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.2493723Z aten_cat_default_7: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([quantized_decomposed_dequantize_per_tensor_default_502, quantized_decomposed_dequantize_per_tensor_default_505, quantized_decomposed_dequantize_per_tensor_default_508, quantized_decomposed_dequantize_per_tensor_default_511, quantized_decomposed_dequantize_per_tensor_default_514, quantized_decomposed_dequantize_per_tensor_default_517, quantized_decomposed_dequantize_per_tensor_default_520, quantized_decomposed_dequantize_per_tensor_default_523, quantized_decomposed_dequantize_per_tensor_default_526, quantized_decomposed_dequantize_per_tensor_default_529, quantized_decomposed_dequantize_per_tensor_default_532, quantized_decomposed_dequantize_per_tensor_default_535]); quantized_decomposed_dequantize_per_tensor_default_502 = quantized_decomposed_dequantize_per_tensor_default_505 = quantized_decomposed_dequantize_per_tensor_default_508 = quantized_decomposed_dequantize_per_tensor_default_511 = quantized_decomposed_dequantize_per_tensor_default_514 = quantized_decomposed_dequantize_per_tensor_default_517 = quantized_decomposed_dequantize_per_tensor_default_520 = quantized_decomposed_dequantize_per_tensor_default_523 = quantized_decomposed_dequantize_per_tensor_default_526 = quantized_decomposed_dequantize_per_tensor_default_529 = quantized_decomposed_dequantize_per_tensor_default_532 = quantized_decomposed_dequantize_per_tensor_default_535 = None 2025-06-05T23:26:40.2494645Z quantized_decomposed_quantize_per_tensor_default_287: "i32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_7, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_cat_default_7 = None 2025-06-05T23:26:40.2495816Z quantized_decomposed_dequantize_per_tensor_default_536: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_287, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_287 = None 2025-06-05T23:26:40.2496592Z aten_view_copy_default_28: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_536, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_536 = None 2025-06-05T23:26:40.2497495Z quantized_decomposed_quantize_per_tensor_default_288: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_28, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_view_copy_default_28 = None 2025-06-05T23:26:40.2497584Z 2025-06-05T23:26:40.2498518Z # File: .74:1301 in forward, code: dequantize_per_tensor_default_438 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_438, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantize_per_tensor_default_438 = None 2025-06-05T23:26:40.2499687Z quantized_decomposed_dequantize_per_tensor_default_537: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_288, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_288 = None 2025-06-05T23:26:40.2499761Z 2025-06-05T23:26:40.2500724Z # File: .74:1302 in forward, code: quantize_per_tensor_default_439 = torch.ops.quantized_decomposed.quantize_per_tensor.default(dequantize_per_tensor_default_438, 8.347312541445717e-05, 0, -32767, 32767, torch.int16); dequantize_per_tensor_default_438 = None 2025-06-05T23:26:40.2501920Z quantized_decomposed_quantize_per_tensor_default_289: "i16[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_537, 8.347312541445717e-05, 0, -32767, 32767, torch.int16); quantized_decomposed_dequantize_per_tensor_default_537 = None 2025-06-05T23:26:40.2501995Z 2025-06-05T23:26:40.2502454Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:327 in forward, code: y = attn_weight @ v 2025-06-05T23:26:40.2503626Z quantized_decomposed_dequantize_per_tensor_default_538: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_289, 8.347312541445717e-05, 0, -32767, 32767, torch.int16); quantized_decomposed_quantize_per_tensor_default_289 = None 2025-06-05T23:26:40.2503725Z 2025-06-05T23:26:40.2504300Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:324 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-06-05T23:26:40.2505108Z aten_permute_copy_default_72: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_499, [0, 1, 3, 2]); quantized_decomposed_dequantize_per_tensor_default_499 = None 2025-06-05T23:26:40.2506075Z quantized_decomposed_quantize_per_tensor_default_290: "i32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_72, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_permute_copy_default_72 = None 2025-06-05T23:26:40.2506164Z 2025-06-05T23:26:40.2507105Z # File: .74:1306 in forward, code: dequantize_per_tensor_default_440 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_440, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantize_per_tensor_default_440 = None 2025-06-05T23:26:40.2508272Z quantized_decomposed_dequantize_per_tensor_default_539: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_290, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_290 = None 2025-06-05T23:26:40.2508359Z 2025-06-05T23:26:40.2509305Z # File: .74:1307 in forward, code: quantize_per_tensor_default_441 = torch.ops.quantized_decomposed.quantize_per_tensor.default(dequantize_per_tensor_default_440, 0.00036035533412359655, 0, -32767, 32767, torch.int16); dequantize_per_tensor_default_440 = None 2025-06-05T23:26:40.2510478Z quantized_decomposed_quantize_per_tensor_default_291: "i16[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_539, 0.00036035533412359655, 0, -32767, 32767, torch.int16); quantized_decomposed_dequantize_per_tensor_default_539 = None 2025-06-05T23:26:40.2510567Z 2025-06-05T23:26:40.2511221Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:324 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-06-05T23:26:40.2512398Z quantized_decomposed_dequantize_per_tensor_default_540: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_291, 0.00036035533412359655, 0, -32767, 32767, torch.int16); quantized_decomposed_quantize_per_tensor_default_291 = None 2025-06-05T23:26:40.2513234Z aten_expand_copy_default_4: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_434, [1, 12, 1, 64]); quantized_decomposed_dequantize_per_tensor_default_434 = None 2025-06-05T23:26:40.2513803Z aten_view_copy_default_29: "f32[12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_4, [12, 1, 64]); aten_expand_copy_default_4 = None 2025-06-05T23:26:40.2514608Z aten_expand_copy_default_5: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_540, [1, 12, 64, 128]); quantized_decomposed_dequantize_per_tensor_default_540 = None 2025-06-05T23:26:40.2515168Z aten_view_copy_default_30: "f32[12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_5, [12, 64, 128]); aten_expand_copy_default_5 = None 2025-06-05T23:26:40.2515843Z aten_bmm_default_2: "f32[12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_29, aten_view_copy_default_30); aten_view_copy_default_29 = aten_view_copy_default_30 = None 2025-06-05T23:26:40.2516361Z aten_view_copy_default_31: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_2, [1, 12, 1, 128]); aten_bmm_default_2 = None 2025-06-05T23:26:40.2517277Z quantized_decomposed_quantize_per_tensor_default_292: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_31, 0.003841349622234702, 41763, 0, 65535, torch.int32); aten_view_copy_default_31 = None 2025-06-05T23:26:40.2518466Z quantized_decomposed_dequantize_per_tensor_default_541: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_292, 0.003841349622234702, 41763, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_292 = None 2025-06-05T23:26:40.2519329Z quantized_decomposed_dequantize_per_tensor_default_542: "f32[]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(b__frozen_param150, 1.9073777366429567e-06, 0, 0, 65535, torch.int32); b__frozen_param150 = None 2025-06-05T23:26:40.2520463Z aten_mul_tensor_25: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_541, quantized_decomposed_dequantize_per_tensor_default_542); quantized_decomposed_dequantize_per_tensor_default_541 = quantized_decomposed_dequantize_per_tensor_default_542 = None 2025-06-05T23:26:40.2521346Z quantized_decomposed_quantize_per_tensor_default_293: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_25, 0.00048016870277933776, 41763, 0, 65535, torch.int32); aten_mul_tensor_25 = None 2025-06-05T23:26:40.2521429Z 2025-06-05T23:26:40.2521927Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:325 in forward, code: attn_weight += attn_mask 2025-06-05T23:26:40.2523098Z quantized_decomposed_dequantize_per_tensor_default_543: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_293, 0.00048016870277933776, 41763, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_293 = None 2025-06-05T23:26:40.2524236Z aten_add_tensor_7: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_543, quantized_decomposed_dequantize_per_tensor_default_435); quantized_decomposed_dequantize_per_tensor_default_543 = quantized_decomposed_dequantize_per_tensor_default_435 = None 2025-06-05T23:26:40.2525128Z quantized_decomposed_quantize_per_tensor_default_294: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_7, 0.004258564207702875, 62855, 0, 65535, torch.int32); aten_add_tensor_7 = None 2025-06-05T23:26:40.2525228Z 2025-06-05T23:26:40.2525796Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:326 in forward, code: attn_weight = torch.softmax(attn_weight, dim=-1) 2025-06-05T23:26:40.2526966Z quantized_decomposed_dequantize_per_tensor_default_544: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_294, 0.004258564207702875, 62855, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_294 = None 2025-06-05T23:26:40.2527747Z aten__softmax_default_1: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten__softmax_default(quantized_decomposed_dequantize_per_tensor_default_544, -1, False); quantized_decomposed_dequantize_per_tensor_default_544 = None 2025-06-05T23:26:40.2528672Z quantized_decomposed_quantize_per_tensor_default_295: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten__softmax_default_1, 1.5259021893143654e-05, 0, 0, 65535, torch.int32); aten__softmax_default_1 = None 2025-06-05T23:26:40.2528747Z 2025-06-05T23:26:40.2529204Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:327 in forward, code: y = attn_weight @ v 2025-06-05T23:26:40.2530383Z quantized_decomposed_dequantize_per_tensor_default_545: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_295, 1.5259021893143654e-05, 0, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_295 = None 2025-06-05T23:26:40.2531183Z aten_expand_copy_default_6: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_545, [1, 12, 1, 128]); quantized_decomposed_dequantize_per_tensor_default_545 = None 2025-06-05T23:26:40.2531735Z aten_view_copy_default_32: "f32[12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_6, [12, 1, 128]); aten_expand_copy_default_6 = None 2025-06-05T23:26:40.2532547Z aten_expand_copy_default_7: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_538, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_538 = None 2025-06-05T23:26:40.2533106Z aten_view_copy_default_33: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_7, [12, 128, 64]); aten_expand_copy_default_7 = None 2025-06-05T23:26:40.2533761Z aten_bmm_default_3: "f32[12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_32, aten_view_copy_default_33); aten_view_copy_default_32 = aten_view_copy_default_33 = None 2025-06-05T23:26:40.2534258Z aten_view_copy_default_34: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_3, [1, 12, 1, 64]); aten_bmm_default_3 = None 2025-06-05T23:26:40.2535164Z quantized_decomposed_quantize_per_tensor_default_296: "i32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_34, 5.015738497604616e-05, 34187, 0, 65535, torch.int32); aten_view_copy_default_34 = None 2025-06-05T23:26:40.2535252Z 2025-06-05T23:26:40.2535883Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:329 in forward, code: return y.transpose(1, 2).contiguous().view(bsz, seqlen, self.dim) 2025-06-05T23:26:40.2537070Z quantized_decomposed_dequantize_per_tensor_default_546: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_296, 5.015738497604616e-05, 34187, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_296 = None 2025-06-05T23:26:40.2537900Z aten_permute_copy_default_73: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_546, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_546 = None 2025-06-05T23:26:40.2538836Z quantized_decomposed_quantize_per_tensor_default_297: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_73, 5.015738497604616e-05, 34187, 0, 65535, torch.int32); aten_permute_copy_default_73 = None 2025-06-05T23:26:40.2540023Z quantized_decomposed_dequantize_per_tensor_default_547: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_297, 5.015738497604616e-05, 34187, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_297 = None 2025-06-05T23:26:40.2540788Z aten_view_copy_default_35: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_547, [1, 1, 768]); quantized_decomposed_dequantize_per_tensor_default_547 = None 2025-06-05T23:26:40.2541700Z quantized_decomposed_quantize_per_tensor_default_298: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_35, 5.015738497604616e-05, 34187, 0, 65535, torch.int32); aten_view_copy_default_35 = None 2025-06-05T23:26:40.2541814Z 2025-06-05T23:26:40.2542341Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.2543518Z quantized_decomposed_dequantize_per_tensor_default_548: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_298, 5.015738497604616e-05, 34187, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_298 = None 2025-06-05T23:26:40.2544325Z aten_unsqueeze_copy_default_18: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_548, -1); quantized_decomposed_dequantize_per_tensor_default_548 = None 2025-06-05T23:26:40.2545275Z quantized_decomposed_quantize_per_tensor_default_299: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_18, 5.015738497604616e-05, 34187, 0, 65535, torch.int32); aten_unsqueeze_copy_default_18 = None 2025-06-05T23:26:40.2545369Z 2025-06-05T23:26:40.2545775Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.2546927Z quantized_decomposed_dequantize_per_tensor_default_549: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_299, 5.015738497604616e-05, 34187, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_299 = None 2025-06-05T23:26:40.2547734Z aten_permute_copy_default_74: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_549, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_549 = None 2025-06-05T23:26:40.2548749Z quantized_decomposed_quantize_per_tensor_default_300: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_74, 5.015738497604616e-05, 34187, 0, 65535, torch.int32); aten_permute_copy_default_74 = None 2025-06-05T23:26:40.2548862Z 2025-06-05T23:26:40.2549226Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.2550376Z quantized_decomposed_dequantize_per_tensor_default_550: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_300, 5.015738497604616e-05, 34187, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_300 = None 2025-06-05T23:26:40.2551757Z aten_convolution_default_10: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_550, quantized_decomposed_dequantize_per_tensor_default_14, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_550 = quantized_decomposed_dequantize_per_tensor_default_14 = None 2025-06-05T23:26:40.2552724Z quantized_decomposed_quantize_per_tensor_default_301: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_10, 6.624962406931445e-05, 32697, 0, 65535, torch.int32); aten_convolution_default_10 = None 2025-06-05T23:26:40.2552801Z 2025-06-05T23:26:40.2553238Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.2554418Z quantized_decomposed_dequantize_per_tensor_default_551: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_301, 6.624962406931445e-05, 32697, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_301 = None 2025-06-05T23:26:40.2555228Z aten_permute_copy_default_75: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_551, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_551 = None 2025-06-05T23:26:40.2556164Z quantized_decomposed_quantize_per_tensor_default_302: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_75, 6.624962406931445e-05, 32697, 0, 65535, torch.int32); aten_permute_copy_default_75 = None 2025-06-05T23:26:40.2556240Z 2025-06-05T23:26:40.2556797Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.2557970Z quantized_decomposed_dequantize_per_tensor_default_552: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_302, 6.624962406931445e-05, 32697, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_302 = None 2025-06-05T23:26:40.2558721Z aten_squeeze_copy_dims_18: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_552, [-1]); quantized_decomposed_dequantize_per_tensor_default_552 = None 2025-06-05T23:26:40.2559638Z quantized_decomposed_quantize_per_tensor_default_303: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_18, 6.624962406931445e-05, 32697, 0, 65535, torch.int32); aten_squeeze_copy_dims_18 = None 2025-06-05T23:26:40.2559715Z 2025-06-05T23:26:40.2560096Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:132 in forward, code: h = x + h 2025-06-05T23:26:40.2561298Z quantized_decomposed_dequantize_per_tensor_default_553: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_303, 6.624962406931445e-05, 32697, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_303 = None 2025-06-05T23:26:40.2562443Z aten_add_tensor_8: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_375, quantized_decomposed_dequantize_per_tensor_default_553); quantized_decomposed_dequantize_per_tensor_default_375 = quantized_decomposed_dequantize_per_tensor_default_553 = None 2025-06-05T23:26:40.2563311Z quantized_decomposed_quantize_per_tensor_default_304: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_8, 0.00016923173097893596, 27235, 0, 65535, torch.int32); aten_add_tensor_8 = None 2025-06-05T23:26:40.2563412Z 2025-06-05T23:26:40.2563921Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:136 in forward, code: out = h + self.feed_forward(self.ffn_norm(h)) 2025-06-05T23:26:40.2564859Z quantized_decomposed_dequantize_per_tensor_default_554: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_304, 0.00016923173097893596, 27235, 0, 65535, torch.int32) 2025-06-05T23:26:40.2566018Z quantized_decomposed_dequantize_per_tensor_default_555: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_304, 0.00016923173097893596, 27235, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_304 = None 2025-06-05T23:26:40.2566569Z aten_pow_tensor_scalar_3: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(quantized_decomposed_dequantize_per_tensor_default_555, 2) 2025-06-05T23:26:40.2567021Z aten_mean_dim_3: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_mean_dim(aten_pow_tensor_scalar_3, [2], True); aten_pow_tensor_scalar_3 = None 2025-06-05T23:26:40.2567457Z aten_add_scalar_3: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_add_Scalar(aten_mean_dim_3, 9.999999747378752e-06); aten_mean_dim_3 = None 2025-06-05T23:26:40.2567876Z aten_rsqrt_default_3: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_rsqrt_default(aten_add_scalar_3); aten_add_scalar_3 = None 2025-06-05T23:26:40.2568730Z aten_mul_tensor_26: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_555, aten_rsqrt_default_3); quantized_decomposed_dequantize_per_tensor_default_555 = aten_rsqrt_default_3 = None 2025-06-05T23:26:40.2569536Z aten_mul_tensor_27: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_26, quantized_decomposed_dequantize_per_tensor_default_15); aten_mul_tensor_26 = quantized_decomposed_dequantize_per_tensor_default_15 = None 2025-06-05T23:26:40.2570411Z quantized_decomposed_quantize_per_tensor_default_305: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_27, 0.00021398279932327569, 31590, 0, 65535, torch.int32); aten_mul_tensor_27 = None 2025-06-05T23:26:40.2570489Z 2025-06-05T23:26:40.2571008Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.2571956Z quantized_decomposed_dequantize_per_tensor_default_556: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_305, 0.00021398279932327569, 31590, 0, 65535, torch.int32) 2025-06-05T23:26:40.2573399Z quantized_decomposed_dequantize_per_tensor_default_557: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_305, 0.00021398279932327569, 31590, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_305 = None 2025-06-05T23:26:40.2574215Z aten_unsqueeze_copy_default_19: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_557, -1); quantized_decomposed_dequantize_per_tensor_default_557 = None 2025-06-05T23:26:40.2575182Z quantized_decomposed_quantize_per_tensor_default_306: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_19, 0.00021398279932327569, 31590, 0, 65535, torch.int32); aten_unsqueeze_copy_default_19 = None 2025-06-05T23:26:40.2575297Z 2025-06-05T23:26:40.2575717Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.2576884Z quantized_decomposed_dequantize_per_tensor_default_558: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_306, 0.00021398279932327569, 31590, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_306 = None 2025-06-05T23:26:40.2577685Z aten_permute_copy_default_76: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_558, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_558 = None 2025-06-05T23:26:40.2578688Z quantized_decomposed_quantize_per_tensor_default_307: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_76, 0.00021398279932327569, 31590, 0, 65535, torch.int32); aten_permute_copy_default_76 = None 2025-06-05T23:26:40.2578767Z 2025-06-05T23:26:40.2579138Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.2580299Z quantized_decomposed_dequantize_per_tensor_default_559: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_307, 0.00021398279932327569, 31590, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_307 = None 2025-06-05T23:26:40.2581600Z aten_convolution_default_11: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_559, quantized_decomposed_dequantize_per_tensor_default_16, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_559 = quantized_decomposed_dequantize_per_tensor_default_16 = None 2025-06-05T23:26:40.2582558Z quantized_decomposed_quantize_per_tensor_default_308: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_11, 0.00014935866056475788, 27447, 0, 65535, torch.int32); aten_convolution_default_11 = None 2025-06-05T23:26:40.2582633Z 2025-06-05T23:26:40.2583066Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.2584233Z quantized_decomposed_dequantize_per_tensor_default_560: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_308, 0.00014935866056475788, 27447, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_308 = None 2025-06-05T23:26:40.2585059Z aten_permute_copy_default_77: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_560, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_560 = None 2025-06-05T23:26:40.2586059Z quantized_decomposed_quantize_per_tensor_default_309: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_77, 0.00014935866056475788, 27447, 0, 65535, torch.int32); aten_permute_copy_default_77 = None 2025-06-05T23:26:40.2586136Z 2025-06-05T23:26:40.2586673Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.2587855Z quantized_decomposed_dequantize_per_tensor_default_561: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_309, 0.00014935866056475788, 27447, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_309 = None 2025-06-05T23:26:40.2588638Z aten_squeeze_copy_dims_19: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_561, [-1]); quantized_decomposed_dequantize_per_tensor_default_561 = None 2025-06-05T23:26:40.2589568Z quantized_decomposed_quantize_per_tensor_default_310: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_19, 0.00014935866056475788, 27447, 0, 65535, torch.int32); aten_squeeze_copy_dims_19 = None 2025-06-05T23:26:40.2589644Z 2025-06-05T23:26:40.2590195Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:37 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-06-05T23:26:40.2591217Z quantized_decomposed_dequantize_per_tensor_default_562: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_310, 0.00014935866056475788, 27447, 0, 65535, torch.int32) 2025-06-05T23:26:40.2592387Z quantized_decomposed_dequantize_per_tensor_default_563: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_310, 0.00014935866056475788, 27447, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_310 = None 2025-06-05T23:26:40.2593141Z aten_sigmoid_default_1: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_sigmoid_default(quantized_decomposed_dequantize_per_tensor_default_563); quantized_decomposed_dequantize_per_tensor_default_563 = None 2025-06-05T23:26:40.2594014Z quantized_decomposed_quantize_per_tensor_default_311: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sigmoid_default_1, 1.52587890625e-05, 0, 0, 65535, torch.int32); aten_sigmoid_default_1 = None 2025-06-05T23:26:40.2595133Z quantized_decomposed_dequantize_per_tensor_default_564: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_311, 1.52587890625e-05, 0, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_311 = None 2025-06-05T23:26:40.2596286Z aten_mul_tensor_28: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_562, quantized_decomposed_dequantize_per_tensor_default_564); quantized_decomposed_dequantize_per_tensor_default_562 = quantized_decomposed_dequantize_per_tensor_default_564 = None 2025-06-05T23:26:40.2597167Z quantized_decomposed_quantize_per_tensor_default_312: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_28, 9.076054266188294e-05, 3068, 0, 65535, torch.int32); aten_mul_tensor_28 = None 2025-06-05T23:26:40.2598351Z quantized_decomposed_dequantize_per_tensor_default_565: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_312, 9.076054266188294e-05, 3068, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_312 = None 2025-06-05T23:26:40.2598427Z 2025-06-05T23:26:40.2598945Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.2599765Z aten_unsqueeze_copy_default_20: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_556, -1); quantized_decomposed_dequantize_per_tensor_default_556 = None 2025-06-05T23:26:40.2600761Z quantized_decomposed_quantize_per_tensor_default_313: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_20, 0.00021398279932327569, 31590, 0, 65535, torch.int32); aten_unsqueeze_copy_default_20 = None 2025-06-05T23:26:40.2600836Z 2025-06-05T23:26:40.2601249Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.2602435Z quantized_decomposed_dequantize_per_tensor_default_566: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_313, 0.00021398279932327569, 31590, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_313 = None 2025-06-05T23:26:40.2603246Z aten_permute_copy_default_78: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_566, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_566 = None 2025-06-05T23:26:40.2606373Z quantized_decomposed_quantize_per_tensor_default_314: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_78, 0.00021398279932327569, 31590, 0, 65535, torch.int32); aten_permute_copy_default_78 = None 2025-06-05T23:26:40.2606462Z 2025-06-05T23:26:40.2606828Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.2608012Z quantized_decomposed_dequantize_per_tensor_default_567: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_314, 0.00021398279932327569, 31590, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_314 = None 2025-06-05T23:26:40.2609321Z aten_convolution_default_12: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_567, quantized_decomposed_dequantize_per_tensor_default_17, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_567 = quantized_decomposed_dequantize_per_tensor_default_17 = None 2025-06-05T23:26:40.2610308Z quantized_decomposed_quantize_per_tensor_default_315: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_12, 0.00023316948499996215, 31553, 0, 65535, torch.int32); aten_convolution_default_12 = None 2025-06-05T23:26:40.2610399Z 2025-06-05T23:26:40.2610818Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.2612063Z quantized_decomposed_dequantize_per_tensor_default_568: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_315, 0.00023316948499996215, 31553, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_315 = None 2025-06-05T23:26:40.2612875Z aten_permute_copy_default_79: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_568, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_568 = None 2025-06-05T23:26:40.2613825Z quantized_decomposed_quantize_per_tensor_default_316: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_79, 0.00023316948499996215, 31553, 0, 65535, torch.int32); aten_permute_copy_default_79 = None 2025-06-05T23:26:40.2613940Z 2025-06-05T23:26:40.2614486Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.2615656Z quantized_decomposed_dequantize_per_tensor_default_569: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_316, 0.00023316948499996215, 31553, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_316 = None 2025-06-05T23:26:40.2616427Z aten_squeeze_copy_dims_20: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_569, [-1]); quantized_decomposed_dequantize_per_tensor_default_569 = None 2025-06-05T23:26:40.2617346Z quantized_decomposed_quantize_per_tensor_default_317: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_20, 0.00023316948499996215, 31553, 0, 65535, torch.int32); aten_squeeze_copy_dims_20 = None 2025-06-05T23:26:40.2617442Z 2025-06-05T23:26:40.2617954Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:37 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-06-05T23:26:40.2619193Z quantized_decomposed_dequantize_per_tensor_default_570: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_317, 0.00023316948499996215, 31553, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_317 = None 2025-06-05T23:26:40.2620330Z aten_mul_tensor_29: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_565, quantized_decomposed_dequantize_per_tensor_default_570); quantized_decomposed_dequantize_per_tensor_default_565 = quantized_decomposed_dequantize_per_tensor_default_570 = None 2025-06-05T23:26:40.2621202Z quantized_decomposed_quantize_per_tensor_default_318: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_29, 0.0009241419611498713, 33256, 0, 65535, torch.int32); aten_mul_tensor_29 = None 2025-06-05T23:26:40.2621276Z 2025-06-05T23:26:40.2621807Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.2622969Z quantized_decomposed_dequantize_per_tensor_default_571: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_318, 0.0009241419611498713, 33256, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_318 = None 2025-06-05T23:26:40.2623813Z aten_unsqueeze_copy_default_21: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_571, -1); quantized_decomposed_dequantize_per_tensor_default_571 = None 2025-06-05T23:26:40.2624817Z quantized_decomposed_quantize_per_tensor_default_319: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_21, 0.0009241419611498713, 33256, 0, 65535, torch.int32); aten_unsqueeze_copy_default_21 = None 2025-06-05T23:26:40.2624891Z 2025-06-05T23:26:40.2625300Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.2626464Z quantized_decomposed_dequantize_per_tensor_default_572: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_319, 0.0009241419611498713, 33256, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_319 = None 2025-06-05T23:26:40.2627286Z aten_permute_copy_default_80: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_572, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_572 = None 2025-06-05T23:26:40.2628237Z quantized_decomposed_quantize_per_tensor_default_320: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_80, 0.0009241419611498713, 33256, 0, 65535, torch.int32); aten_permute_copy_default_80 = None 2025-06-05T23:26:40.2628316Z 2025-06-05T23:26:40.2628673Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.2629844Z quantized_decomposed_dequantize_per_tensor_default_573: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_320, 0.0009241419611498713, 33256, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_320 = None 2025-06-05T23:26:40.2631251Z aten_convolution_default_13: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_573, quantized_decomposed_dequantize_per_tensor_default_18, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_573 = quantized_decomposed_dequantize_per_tensor_default_18 = None 2025-06-05T23:26:40.2632199Z quantized_decomposed_quantize_per_tensor_default_321: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_13, 0.0008836374618113041, 9331, 0, 65535, torch.int32); aten_convolution_default_13 = None 2025-06-05T23:26:40.2632280Z 2025-06-05T23:26:40.2632698Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.2633868Z quantized_decomposed_dequantize_per_tensor_default_574: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_321, 0.0008836374618113041, 9331, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_321 = None 2025-06-05T23:26:40.2634664Z aten_permute_copy_default_81: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_574, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_574 = None 2025-06-05T23:26:40.2635643Z quantized_decomposed_quantize_per_tensor_default_322: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_81, 0.0008836374618113041, 9331, 0, 65535, torch.int32); aten_permute_copy_default_81 = None 2025-06-05T23:26:40.2635743Z 2025-06-05T23:26:40.2636277Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.2637450Z quantized_decomposed_dequantize_per_tensor_default_575: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_322, 0.0008836374618113041, 9331, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_322 = None 2025-06-05T23:26:40.2638202Z aten_squeeze_copy_dims_21: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_575, [-1]); quantized_decomposed_dequantize_per_tensor_default_575 = None 2025-06-05T23:26:40.2639139Z quantized_decomposed_quantize_per_tensor_default_323: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_21, 0.0008836374618113041, 9331, 0, 65535, torch.int32); aten_squeeze_copy_dims_21 = None 2025-06-05T23:26:40.2639225Z 2025-06-05T23:26:40.2639733Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:136 in forward, code: out = h + self.feed_forward(self.ffn_norm(h)) 2025-06-05T23:26:40.2640891Z quantized_decomposed_dequantize_per_tensor_default_576: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_323, 0.0008836374618113041, 9331, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_323 = None 2025-06-05T23:26:40.2642013Z aten_add_tensor_9: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_554, quantized_decomposed_dequantize_per_tensor_default_576); quantized_decomposed_dequantize_per_tensor_default_554 = quantized_decomposed_dequantize_per_tensor_default_576 = None 2025-06-05T23:26:40.2642899Z quantized_decomposed_quantize_per_tensor_default_324: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_9, 0.0010317935375496745, 12458, 0, 65535, torch.int32); aten_add_tensor_9 = None 2025-06-05T23:26:40.2642985Z 2025-06-05T23:26:40.2643351Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:132 in forward, code: h = x + h 2025-06-05T23:26:40.2644275Z quantized_decomposed_dequantize_per_tensor_default_577: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_324, 0.0010317935375496745, 12458, 0, 65535, torch.int32) 2025-06-05T23:26:40.2644363Z 2025-06-05T23:26:40.2644927Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:129 in forward, code: self.attention_norm(x), freqs_cos, freqs_sin, **attn_options 2025-06-05T23:26:40.2646076Z quantized_decomposed_dequantize_per_tensor_default_578: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_324, 0.0010317935375496745, 12458, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_324 = None 2025-06-05T23:26:40.2646593Z aten_pow_tensor_scalar_4: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(quantized_decomposed_dequantize_per_tensor_default_578, 2) 2025-06-05T23:26:40.2647041Z aten_mean_dim_4: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_mean_dim(aten_pow_tensor_scalar_4, [2], True); aten_pow_tensor_scalar_4 = None 2025-06-05T23:26:40.2647535Z aten_add_scalar_4: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_add_Scalar(aten_mean_dim_4, 9.999999747378752e-06); aten_mean_dim_4 = None 2025-06-05T23:26:40.2647945Z aten_rsqrt_default_4: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_rsqrt_default(aten_add_scalar_4); aten_add_scalar_4 = None 2025-06-05T23:26:40.2648800Z aten_mul_tensor_30: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_578, aten_rsqrt_default_4); quantized_decomposed_dequantize_per_tensor_default_578 = aten_rsqrt_default_4 = None 2025-06-05T23:26:40.2649618Z aten_mul_tensor_31: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_30, quantized_decomposed_dequantize_per_tensor_default_19); aten_mul_tensor_30 = quantized_decomposed_dequantize_per_tensor_default_19 = None 2025-06-05T23:26:40.2650496Z quantized_decomposed_quantize_per_tensor_default_325: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_31, 0.0003308423620183021, 21627, 0, 65535, torch.int32); aten_mul_tensor_31 = None 2025-06-05T23:26:40.2650573Z 2025-06-05T23:26:40.2651105Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.2652025Z quantized_decomposed_dequantize_per_tensor_default_579: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_325, 0.0003308423620183021, 21627, 0, 65535, torch.int32) 2025-06-05T23:26:40.2652942Z quantized_decomposed_dequantize_per_tensor_default_580: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_325, 0.0003308423620183021, 21627, 0, 65535, torch.int32) 2025-06-05T23:26:40.2654114Z quantized_decomposed_dequantize_per_tensor_default_581: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_325, 0.0003308423620183021, 21627, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_325 = None 2025-06-05T23:26:40.2654943Z aten_unsqueeze_copy_default_22: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_581, -1); quantized_decomposed_dequantize_per_tensor_default_581 = None 2025-06-05T23:26:40.2655918Z quantized_decomposed_quantize_per_tensor_default_326: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_22, 0.0003308423620183021, 21627, 0, 65535, torch.int32); aten_unsqueeze_copy_default_22 = None 2025-06-05T23:26:40.2655998Z 2025-06-05T23:26:40.2656400Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.2657575Z quantized_decomposed_dequantize_per_tensor_default_582: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_326, 0.0003308423620183021, 21627, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_326 = None 2025-06-05T23:26:40.2658359Z aten_permute_copy_default_82: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_582, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_582 = None 2025-06-05T23:26:40.2659339Z quantized_decomposed_quantize_per_tensor_default_327: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_82, 0.0003308423620183021, 21627, 0, 65535, torch.int32); aten_permute_copy_default_82 = None 2025-06-05T23:26:40.2659439Z 2025-06-05T23:26:40.2659800Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.2660973Z quantized_decomposed_dequantize_per_tensor_default_583: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_327, 0.0003308423620183021, 21627, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_327 = None 2025-06-05T23:26:40.2662263Z aten_convolution_default_14: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_583, quantized_decomposed_dequantize_per_tensor_default_20, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_583 = quantized_decomposed_dequantize_per_tensor_default_20 = None 2025-06-05T23:26:40.2663248Z quantized_decomposed_quantize_per_tensor_default_328: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_14, 0.00036216730950400233, 19231, 0, 65535, torch.int32); aten_convolution_default_14 = None 2025-06-05T23:26:40.2663321Z 2025-06-05T23:26:40.2663742Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.2664926Z quantized_decomposed_dequantize_per_tensor_default_584: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_328, 0.00036216730950400233, 19231, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_328 = None 2025-06-05T23:26:40.2665722Z aten_permute_copy_default_83: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_584, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_584 = None 2025-06-05T23:26:40.2666694Z quantized_decomposed_quantize_per_tensor_default_329: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_83, 0.00036216730950400233, 19231, 0, 65535, torch.int32); aten_permute_copy_default_83 = None 2025-06-05T23:26:40.2666784Z 2025-06-05T23:26:40.2667321Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.2668488Z quantized_decomposed_dequantize_per_tensor_default_585: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_329, 0.00036216730950400233, 19231, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_329 = None 2025-06-05T23:26:40.2669256Z aten_squeeze_copy_dims_22: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_585, [-1]); quantized_decomposed_dequantize_per_tensor_default_585 = None 2025-06-05T23:26:40.2670170Z quantized_decomposed_quantize_per_tensor_default_330: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_22, 0.00036216730950400233, 19231, 0, 65535, torch.int32); aten_squeeze_copy_dims_22 = None 2025-06-05T23:26:40.2670257Z 2025-06-05T23:26:40.2670774Z # File: /pytorch/executorch/examples/models/llama/attention.py:405 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim) 2025-06-05T23:26:40.2672072Z quantized_decomposed_dequantize_per_tensor_default_586: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_330, 0.00036216730950400233, 19231, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_330 = None 2025-06-05T23:26:40.2672178Z 2025-06-05T23:26:40.2672866Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.2673671Z aten_unsqueeze_copy_default_23: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_580, -1); quantized_decomposed_dequantize_per_tensor_default_580 = None 2025-06-05T23:26:40.2674727Z quantized_decomposed_quantize_per_tensor_default_331: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_23, 0.0003308423620183021, 21627, 0, 65535, torch.int32); aten_unsqueeze_copy_default_23 = None 2025-06-05T23:26:40.2674805Z 2025-06-05T23:26:40.2675210Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.2676383Z quantized_decomposed_dequantize_per_tensor_default_587: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_331, 0.0003308423620183021, 21627, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_331 = None 2025-06-05T23:26:40.2677177Z aten_permute_copy_default_84: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_587, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_587 = None 2025-06-05T23:26:40.2678137Z quantized_decomposed_quantize_per_tensor_default_332: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_84, 0.0003308423620183021, 21627, 0, 65535, torch.int32); aten_permute_copy_default_84 = None 2025-06-05T23:26:40.2678217Z 2025-06-05T23:26:40.2678580Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.2679807Z quantized_decomposed_dequantize_per_tensor_default_588: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_332, 0.0003308423620183021, 21627, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_332 = None 2025-06-05T23:26:40.2681108Z aten_convolution_default_15: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_588, quantized_decomposed_dequantize_per_tensor_default_21, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_588 = quantized_decomposed_dequantize_per_tensor_default_21 = None 2025-06-05T23:26:40.2682065Z quantized_decomposed_quantize_per_tensor_default_333: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_15, 0.00037646826240234077, 30723, 0, 65535, torch.int32); aten_convolution_default_15 = None 2025-06-05T23:26:40.2682145Z 2025-06-05T23:26:40.2682563Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.2683784Z quantized_decomposed_dequantize_per_tensor_default_589: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_333, 0.00037646826240234077, 30723, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_333 = None 2025-06-05T23:26:40.2684611Z aten_permute_copy_default_85: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_589, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_589 = None 2025-06-05T23:26:40.2685551Z quantized_decomposed_quantize_per_tensor_default_334: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_85, 0.00037646826240234077, 30723, 0, 65535, torch.int32); aten_permute_copy_default_85 = None 2025-06-05T23:26:40.2685643Z 2025-06-05T23:26:40.2686183Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.2687380Z quantized_decomposed_dequantize_per_tensor_default_590: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_334, 0.00037646826240234077, 30723, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_334 = None 2025-06-05T23:26:40.2688146Z aten_squeeze_copy_dims_23: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_590, [-1]); quantized_decomposed_dequantize_per_tensor_default_590 = None 2025-06-05T23:26:40.2689060Z quantized_decomposed_quantize_per_tensor_default_335: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_23, 0.00037646826240234077, 30723, 0, 65535, torch.int32); aten_squeeze_copy_dims_23 = None 2025-06-05T23:26:40.2689154Z 2025-06-05T23:26:40.2689685Z # File: /pytorch/executorch/examples/models/llama/attention.py:406 in forward, code: k = k.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim) 2025-06-05T23:26:40.2690876Z quantized_decomposed_dequantize_per_tensor_default_591: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_335, 0.00037646826240234077, 30723, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_335 = None 2025-06-05T23:26:40.2690969Z 2025-06-05T23:26:40.2691488Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.2692294Z aten_unsqueeze_copy_default_24: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_579, -1); quantized_decomposed_dequantize_per_tensor_default_579 = None 2025-06-05T23:26:40.2693267Z quantized_decomposed_quantize_per_tensor_default_336: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_24, 0.0003308423620183021, 21627, 0, 65535, torch.int32); aten_unsqueeze_copy_default_24 = None 2025-06-05T23:26:40.2693344Z 2025-06-05T23:26:40.2693743Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.2694917Z quantized_decomposed_dequantize_per_tensor_default_592: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_336, 0.0003308423620183021, 21627, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_336 = None 2025-06-05T23:26:40.2695737Z aten_permute_copy_default_86: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_592, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_592 = None 2025-06-05T23:26:40.2696714Z quantized_decomposed_quantize_per_tensor_default_337: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_86, 0.0003308423620183021, 21627, 0, 65535, torch.int32); aten_permute_copy_default_86 = None 2025-06-05T23:26:40.2696790Z 2025-06-05T23:26:40.2697149Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.2698324Z quantized_decomposed_dequantize_per_tensor_default_593: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_337, 0.0003308423620183021, 21627, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_337 = None 2025-06-05T23:26:40.2699640Z aten_convolution_default_16: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_593, quantized_decomposed_dequantize_per_tensor_default_22, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_593 = quantized_decomposed_dequantize_per_tensor_default_22 = None 2025-06-05T23:26:40.2700591Z quantized_decomposed_quantize_per_tensor_default_338: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_16, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_convolution_default_16 = None 2025-06-05T23:26:40.2700668Z 2025-06-05T23:26:40.2701086Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.2702254Z quantized_decomposed_dequantize_per_tensor_default_594: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_338, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_338 = None 2025-06-05T23:26:40.2703069Z aten_permute_copy_default_87: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_594, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_594 = None 2025-06-05T23:26:40.2703994Z quantized_decomposed_quantize_per_tensor_default_339: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_87, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_permute_copy_default_87 = None 2025-06-05T23:26:40.2704080Z 2025-06-05T23:26:40.2704616Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.2705772Z quantized_decomposed_dequantize_per_tensor_default_595: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_339, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_339 = None 2025-06-05T23:26:40.2706529Z aten_squeeze_copy_dims_24: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_595, [-1]); quantized_decomposed_dequantize_per_tensor_default_595 = None 2025-06-05T23:26:40.2707458Z quantized_decomposed_quantize_per_tensor_default_340: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_24, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_squeeze_copy_dims_24 = None 2025-06-05T23:26:40.2707571Z 2025-06-05T23:26:40.2708095Z # File: /pytorch/executorch/examples/models/llama/attention.py:407 in forward, code: v = v.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim) 2025-06-05T23:26:40.2709250Z quantized_decomposed_dequantize_per_tensor_default_596: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_340, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_340 = None 2025-06-05T23:26:40.2709337Z 2025-06-05T23:26:40.2709847Z # File: /pytorch/executorch/examples/models/llama/attention.py:405 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim) 2025-06-05T23:26:40.2710639Z aten_view_copy_default_36: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_586, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_586 = None 2025-06-05T23:26:40.2711669Z quantized_decomposed_quantize_per_tensor_default_341: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_36, 0.00036216730950400233, 19231, 0, 65535, torch.int32); aten_view_copy_default_36 = None 2025-06-05T23:26:40.2711749Z 2025-06-05T23:26:40.2712275Z # File: /pytorch/executorch/examples/models/llama/rope.py:84 in apply_rotary_emb, code: xq_r, xq_i = xq.float().reshape(xq.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.2713443Z quantized_decomposed_dequantize_per_tensor_default_597: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_341, 0.00036216730950400233, 19231, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_341 = None 2025-06-05T23:26:40.2713521Z 2025-06-05T23:26:40.2714055Z # File: /pytorch/executorch/examples/models/llama/attention.py:406 in forward, code: k = k.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim) 2025-06-05T23:26:40.2714875Z aten_view_copy_default_37: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_591, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_591 = None 2025-06-05T23:26:40.2715788Z quantized_decomposed_quantize_per_tensor_default_342: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_37, 0.00037646826240234077, 30723, 0, 65535, torch.int32); aten_view_copy_default_37 = None 2025-06-05T23:26:40.2715880Z 2025-06-05T23:26:40.2716405Z # File: /pytorch/executorch/examples/models/llama/rope.py:85 in apply_rotary_emb, code: xk_r, xk_i = xk.float().reshape(xk.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.2717566Z quantized_decomposed_dequantize_per_tensor_default_598: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_342, 0.00037646826240234077, 30723, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_342 = None 2025-06-05T23:26:40.2717656Z 2025-06-05T23:26:40.2718177Z # File: /pytorch/executorch/examples/models/llama/attention.py:407 in forward, code: v = v.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim) 2025-06-05T23:26:40.2718939Z aten_view_copy_default_38: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_596, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_596 = None 2025-06-05T23:26:40.2719907Z quantized_decomposed_quantize_per_tensor_default_343: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_38, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_view_copy_default_38 = None 2025-06-05T23:26:40.2719986Z 2025-06-05T23:26:40.2720665Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:511 in update, code: v_out = torch.ops.aten.index_put_(self.past_v_caches, [None, input_pos], v_val) 2025-06-05T23:26:40.2721834Z quantized_decomposed_dequantize_per_tensor_default_599: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_343, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_343 = None 2025-06-05T23:26:40.2721939Z 2025-06-05T23:26:40.2722479Z # File: /pytorch/executorch/examples/models/llama/rope.py:84 in apply_rotary_emb, code: xq_r, xq_i = xq.float().reshape(xq.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.2723254Z aten_view_copy_default_39: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_597, [1, 1, 12, -1, 2]); quantized_decomposed_dequantize_per_tensor_default_597 = None 2025-06-05T23:26:40.2724167Z quantized_decomposed_quantize_per_tensor_default_344: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_39, 0.00036216730950400233, 19231, 0, 65535, torch.int32); aten_view_copy_default_39 = None 2025-06-05T23:26:40.2725342Z quantized_decomposed_dequantize_per_tensor_default_600: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_344, 0.00036216730950400233, 19231, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_344 = None 2025-06-05T23:26:40.2725875Z aten_slice_copy_tensor_8: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_600, 4, 0, 1) 2025-06-05T23:26:40.2726665Z aten_slice_copy_tensor_9: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_600, 4, 1, 2); quantized_decomposed_dequantize_per_tensor_default_600 = None 2025-06-05T23:26:40.2727177Z aten_squeeze_copy_dims_25: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_8, [4]); aten_slice_copy_tensor_8 = None 2025-06-05T23:26:40.2727685Z aten_squeeze_copy_dims_26: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_9, [4]); aten_slice_copy_tensor_9 = None 2025-06-05T23:26:40.2728621Z quantized_decomposed_quantize_per_tensor_default_345: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_25, 0.00036216730950400233, 19231, 0, 65535, torch.int32); aten_squeeze_copy_dims_25 = None 2025-06-05T23:26:40.2728696Z 2025-06-05T23:26:40.2729170Z # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos 2025-06-05T23:26:40.2730106Z quantized_decomposed_dequantize_per_tensor_default_601: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_345, 0.00036216730950400233, 19231, 0, 65535, torch.int32) 2025-06-05T23:26:40.2730182Z 2025-06-05T23:26:40.2730653Z # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin 2025-06-05T23:26:40.2731875Z quantized_decomposed_dequantize_per_tensor_default_602: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_345, 0.00036216730950400233, 19231, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_345 = None 2025-06-05T23:26:40.2731951Z 2025-06-05T23:26:40.2732470Z # File: /pytorch/executorch/examples/models/llama/rope.py:84 in apply_rotary_emb, code: xq_r, xq_i = xq.float().reshape(xq.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.2733398Z quantized_decomposed_quantize_per_tensor_default_346: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_26, 0.00036216730950400233, 19231, 0, 65535, torch.int32); aten_squeeze_copy_dims_26 = None 2025-06-05T23:26:40.2733501Z 2025-06-05T23:26:40.2733975Z # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin 2025-06-05T23:26:40.2734910Z quantized_decomposed_dequantize_per_tensor_default_603: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_346, 0.00036216730950400233, 19231, 0, 65535, torch.int32) 2025-06-05T23:26:40.2734988Z 2025-06-05T23:26:40.2735453Z # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos 2025-06-05T23:26:40.2736628Z quantized_decomposed_dequantize_per_tensor_default_604: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_346, 0.00036216730950400233, 19231, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_346 = None 2025-06-05T23:26:40.2736707Z 2025-06-05T23:26:40.2737236Z # File: /pytorch/executorch/examples/models/llama/rope.py:85 in apply_rotary_emb, code: xk_r, xk_i = xk.float().reshape(xk.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.2738042Z aten_view_copy_default_40: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_598, [1, 1, 12, -1, 2]); quantized_decomposed_dequantize_per_tensor_default_598 = None 2025-06-05T23:26:40.2738956Z quantized_decomposed_quantize_per_tensor_default_347: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_40, 0.00037646826240234077, 30723, 0, 65535, torch.int32); aten_view_copy_default_40 = None 2025-06-05T23:26:40.2740137Z quantized_decomposed_dequantize_per_tensor_default_605: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_347, 0.00037646826240234077, 30723, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_347 = None 2025-06-05T23:26:40.2740668Z aten_slice_copy_tensor_10: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_605, 4, 0, 1) 2025-06-05T23:26:40.2741439Z aten_slice_copy_tensor_11: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_605, 4, 1, 2); quantized_decomposed_dequantize_per_tensor_default_605 = None 2025-06-05T23:26:40.2741953Z aten_squeeze_copy_dims_27: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_10, [4]); aten_slice_copy_tensor_10 = None 2025-06-05T23:26:40.2742517Z aten_squeeze_copy_dims_28: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_11, [4]); aten_slice_copy_tensor_11 = None 2025-06-05T23:26:40.2743440Z quantized_decomposed_quantize_per_tensor_default_348: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_27, 0.00037646826240234077, 30723, 0, 65535, torch.int32); aten_squeeze_copy_dims_27 = None 2025-06-05T23:26:40.2743518Z 2025-06-05T23:26:40.2743989Z # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos 2025-06-05T23:26:40.2744931Z quantized_decomposed_dequantize_per_tensor_default_606: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_348, 0.00037646826240234077, 30723, 0, 65535, torch.int32) 2025-06-05T23:26:40.2745059Z 2025-06-05T23:26:40.2745529Z # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin 2025-06-05T23:26:40.2746705Z quantized_decomposed_dequantize_per_tensor_default_607: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_348, 0.00037646826240234077, 30723, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_348 = None 2025-06-05T23:26:40.2746781Z 2025-06-05T23:26:40.2747295Z # File: /pytorch/executorch/examples/models/llama/rope.py:85 in apply_rotary_emb, code: xk_r, xk_i = xk.float().reshape(xk.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.2748221Z quantized_decomposed_quantize_per_tensor_default_349: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_28, 0.00037646826240234077, 30723, 0, 65535, torch.int32); aten_squeeze_copy_dims_28 = None 2025-06-05T23:26:40.2748299Z 2025-06-05T23:26:40.2748766Z # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin 2025-06-05T23:26:40.2749730Z quantized_decomposed_dequantize_per_tensor_default_608: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_349, 0.00037646826240234077, 30723, 0, 65535, torch.int32) 2025-06-05T23:26:40.2749806Z 2025-06-05T23:26:40.2750272Z # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos 2025-06-05T23:26:40.2751519Z quantized_decomposed_dequantize_per_tensor_default_609: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_349, 0.00037646826240234077, 30723, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_349 = None 2025-06-05T23:26:40.2751598Z 2025-06-05T23:26:40.2752045Z # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape) 2025-06-05T23:26:40.2752813Z aten_view_copy_default_41: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_160, [1, 1, 1, 32]); quantized_decomposed_dequantize_per_tensor_default_160 = None 2025-06-05T23:26:40.2753712Z quantized_decomposed_quantize_per_tensor_default_350: "i32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_41, 3.051804378628731e-05, 32768, 0, 65535, torch.int32); aten_view_copy_default_41 = None 2025-06-05T23:26:40.2753832Z 2025-06-05T23:26:40.2754325Z # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos 2025-06-05T23:26:40.2755261Z quantized_decomposed_dequantize_per_tensor_default_610: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_350, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-06-05T23:26:40.2755349Z 2025-06-05T23:26:40.2755815Z # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin 2025-06-05T23:26:40.2756737Z quantized_decomposed_dequantize_per_tensor_default_611: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_350, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-06-05T23:26:40.2756872Z 2025-06-05T23:26:40.2757334Z # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos 2025-06-05T23:26:40.2758257Z quantized_decomposed_dequantize_per_tensor_default_612: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_350, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-06-05T23:26:40.2758342Z 2025-06-05T23:26:40.2758808Z # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin 2025-06-05T23:26:40.2759964Z quantized_decomposed_dequantize_per_tensor_default_613: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_350, 3.051804378628731e-05, 32768, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_350 = None 2025-06-05T23:26:40.2760055Z 2025-06-05T23:26:40.2760486Z # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape) 2025-06-05T23:26:40.2761283Z aten_view_copy_default_42: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_172, [1, 1, 1, 32]); quantized_decomposed_dequantize_per_tensor_default_172 = None 2025-06-05T23:26:40.2762198Z quantized_decomposed_quantize_per_tensor_default_351: "i32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_42, 3.051786916330457e-05, 32767, 0, 65535, torch.int32); aten_view_copy_default_42 = None 2025-06-05T23:26:40.2762276Z 2025-06-05T23:26:40.2762766Z # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin 2025-06-05T23:26:40.2763689Z quantized_decomposed_dequantize_per_tensor_default_614: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_351, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-06-05T23:26:40.2763763Z 2025-06-05T23:26:40.2764241Z # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos 2025-06-05T23:26:40.2765161Z quantized_decomposed_dequantize_per_tensor_default_615: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_351, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-06-05T23:26:40.2765264Z 2025-06-05T23:26:40.2765763Z # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin 2025-06-05T23:26:40.2766685Z quantized_decomposed_dequantize_per_tensor_default_616: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_351, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-06-05T23:26:40.2766764Z 2025-06-05T23:26:40.2767239Z # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos 2025-06-05T23:26:40.2768389Z quantized_decomposed_dequantize_per_tensor_default_617: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_351, 3.051786916330457e-05, 32767, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_351 = None 2025-06-05T23:26:40.2768492Z 2025-06-05T23:26:40.2768968Z # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin 2025-06-05T23:26:40.2770103Z aten_mul_tensor_32: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_602, quantized_decomposed_dequantize_per_tensor_default_613); quantized_decomposed_dequantize_per_tensor_default_602 = quantized_decomposed_dequantize_per_tensor_default_613 = None 2025-06-05T23:26:40.2770975Z quantized_decomposed_quantize_per_tensor_default_352: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_32, 0.0002832972095347941, 23707, 0, 65535, torch.int32); aten_mul_tensor_32 = None 2025-06-05T23:26:40.2772132Z quantized_decomposed_dequantize_per_tensor_default_618: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_352, 0.0002832972095347941, 23707, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_352 = None 2025-06-05T23:26:40.2773515Z aten_mul_tensor_33: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_603, quantized_decomposed_dequantize_per_tensor_default_616); quantized_decomposed_dequantize_per_tensor_default_603 = quantized_decomposed_dequantize_per_tensor_default_616 = None 2025-06-05T23:26:40.2774397Z quantized_decomposed_quantize_per_tensor_default_353: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_33, 0.00015349165187217295, 32189, 0, 65535, torch.int32); aten_mul_tensor_33 = None 2025-06-05T23:26:40.2775550Z quantized_decomposed_dequantize_per_tensor_default_619: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_353, 0.00015349165187217295, 32189, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_353 = None 2025-06-05T23:26:40.2776694Z aten_sub_tensor_4: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(quantized_decomposed_dequantize_per_tensor_default_618, quantized_decomposed_dequantize_per_tensor_default_619); quantized_decomposed_dequantize_per_tensor_default_618 = quantized_decomposed_dequantize_per_tensor_default_619 = None 2025-06-05T23:26:40.2777545Z quantized_decomposed_quantize_per_tensor_default_354: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sub_tensor_4, 0.0003486985806375742, 19278, 0, 65535, torch.int32); aten_sub_tensor_4 = None 2025-06-05T23:26:40.2777659Z 2025-06-05T23:26:40.2778652Z # File: .74:1519 in forward, code: dequantize_per_tensor_default_505 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_505, 0.0003486985806375742, 19278, 0, 65535, torch.int32); quantize_per_tensor_default_505 = None 2025-06-05T23:26:40.2779813Z quantized_decomposed_dequantize_per_tensor_default_620: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_354, 0.0003486985806375742, 19278, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_354 = None 2025-06-05T23:26:40.2779903Z 2025-06-05T23:26:40.2780376Z # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos 2025-06-05T23:26:40.2781549Z aten_mul_tensor_34: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_601, quantized_decomposed_dequantize_per_tensor_default_617); quantized_decomposed_dequantize_per_tensor_default_601 = quantized_decomposed_dequantize_per_tensor_default_617 = None 2025-06-05T23:26:40.2782419Z quantized_decomposed_quantize_per_tensor_default_355: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_34, 0.00019744332530535758, 33781, 0, 65535, torch.int32); aten_mul_tensor_34 = None 2025-06-05T23:26:40.2783572Z quantized_decomposed_dequantize_per_tensor_default_621: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_355, 0.00019744332530535758, 33781, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_355 = None 2025-06-05T23:26:40.2784716Z aten_mul_tensor_35: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_604, quantized_decomposed_dequantize_per_tensor_default_612); quantized_decomposed_dequantize_per_tensor_default_604 = quantized_decomposed_dequantize_per_tensor_default_612 = None 2025-06-05T23:26:40.2785602Z quantized_decomposed_quantize_per_tensor_default_356: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_35, 0.0003398616099730134, 16524, 0, 65535, torch.int32); aten_mul_tensor_35 = None 2025-06-05T23:26:40.2786746Z quantized_decomposed_dequantize_per_tensor_default_622: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_356, 0.0003398616099730134, 16524, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_356 = None 2025-06-05T23:26:40.2787895Z aten_add_tensor_10: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_621, quantized_decomposed_dequantize_per_tensor_default_622); quantized_decomposed_dequantize_per_tensor_default_621 = quantized_decomposed_dequantize_per_tensor_default_622 = None 2025-06-05T23:26:40.2788749Z quantized_decomposed_quantize_per_tensor_default_357: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_10, 0.0003486985806375742, 19278, 0, 65535, torch.int32); aten_add_tensor_10 = None 2025-06-05T23:26:40.2788836Z 2025-06-05T23:26:40.2789777Z # File: .74:1528 in forward, code: dequantize_per_tensor_default_508 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_508, 0.0003486985806375742, 19278, 0, 65535, torch.int32); quantize_per_tensor_default_508 = None 2025-06-05T23:26:40.2791022Z quantized_decomposed_dequantize_per_tensor_default_623: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_357, 0.0003486985806375742, 19278, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_357 = None 2025-06-05T23:26:40.2791134Z 2025-06-05T23:26:40.2791609Z # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin 2025-06-05T23:26:40.2792733Z aten_mul_tensor_36: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_607, quantized_decomposed_dequantize_per_tensor_default_611); quantized_decomposed_dequantize_per_tensor_default_607 = quantized_decomposed_dequantize_per_tensor_default_611 = None 2025-06-05T23:26:40.2793634Z quantized_decomposed_quantize_per_tensor_default_358: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_36, 0.0002919230901170522, 23481, 0, 65535, torch.int32); aten_mul_tensor_36 = None 2025-06-05T23:26:40.2794787Z quantized_decomposed_dequantize_per_tensor_default_624: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_358, 0.0002919230901170522, 23481, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_358 = None 2025-06-05T23:26:40.2795924Z aten_mul_tensor_37: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_608, quantized_decomposed_dequantize_per_tensor_default_614); quantized_decomposed_dequantize_per_tensor_default_608 = quantized_decomposed_dequantize_per_tensor_default_614 = None 2025-06-05T23:26:40.2796786Z quantized_decomposed_quantize_per_tensor_default_359: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_37, 0.00021678538178093731, 35772, 0, 65535, torch.int32); aten_mul_tensor_37 = None 2025-06-05T23:26:40.2797993Z quantized_decomposed_dequantize_per_tensor_default_625: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_359, 0.00021678538178093731, 35772, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_359 = None 2025-06-05T23:26:40.2799124Z aten_sub_tensor_5: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(quantized_decomposed_dequantize_per_tensor_default_624, quantized_decomposed_dequantize_per_tensor_default_625); quantized_decomposed_dequantize_per_tensor_default_624 = quantized_decomposed_dequantize_per_tensor_default_625 = None 2025-06-05T23:26:40.2799983Z quantized_decomposed_quantize_per_tensor_default_360: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sub_tensor_5, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_sub_tensor_5 = None 2025-06-05T23:26:40.2800079Z 2025-06-05T23:26:40.2801025Z # File: .74:1537 in forward, code: dequantize_per_tensor_default_511 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_511, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantize_per_tensor_default_511 = None 2025-06-05T23:26:40.2802186Z quantized_decomposed_dequantize_per_tensor_default_626: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_360, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_360 = None 2025-06-05T23:26:40.2802278Z 2025-06-05T23:26:40.2802812Z # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos 2025-06-05T23:26:40.2803955Z aten_mul_tensor_38: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_606, quantized_decomposed_dequantize_per_tensor_default_615); quantized_decomposed_dequantize_per_tensor_default_606 = quantized_decomposed_dequantize_per_tensor_default_615 = None 2025-06-05T23:26:40.2804816Z quantized_decomposed_quantize_per_tensor_default_361: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_38, 0.0001832414127420634, 33825, 0, 65535, torch.int32); aten_mul_tensor_38 = None 2025-06-05T23:26:40.2805969Z quantized_decomposed_dequantize_per_tensor_default_627: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_361, 0.0001832414127420634, 33825, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_361 = None 2025-06-05T23:26:40.2807131Z aten_mul_tensor_39: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_609, quantized_decomposed_dequantize_per_tensor_default_610); quantized_decomposed_dequantize_per_tensor_default_609 = quantized_decomposed_dequantize_per_tensor_default_610 = None 2025-06-05T23:26:40.2807993Z quantized_decomposed_quantize_per_tensor_default_362: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_39, 0.0003678293142002076, 31068, 0, 65535, torch.int32); aten_mul_tensor_39 = None 2025-06-05T23:26:40.2809158Z quantized_decomposed_dequantize_per_tensor_default_628: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_362, 0.0003678293142002076, 31068, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_362 = None 2025-06-05T23:26:40.2810327Z aten_add_tensor_11: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_627, quantized_decomposed_dequantize_per_tensor_default_628); quantized_decomposed_dequantize_per_tensor_default_627 = quantized_decomposed_dequantize_per_tensor_default_628 = None 2025-06-05T23:26:40.2811201Z quantized_decomposed_quantize_per_tensor_default_363: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_11, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_add_tensor_11 = None 2025-06-05T23:26:40.2811280Z 2025-06-05T23:26:40.2812235Z # File: .74:1546 in forward, code: dequantize_per_tensor_default_514 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_514, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantize_per_tensor_default_514 = None 2025-06-05T23:26:40.2813408Z quantized_decomposed_dequantize_per_tensor_default_629: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_363, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_363 = None 2025-06-05T23:26:40.2813487Z 2025-06-05T23:26:40.2814010Z # File: /pytorch/executorch/examples/models/llama/rope.py:95 in apply_rotary_emb, code: xq_out = torch.stack([xq_out_r, xq_out_i], dim=-1).flatten(3) 2025-06-05T23:26:40.2814828Z aten_unsqueeze_copy_default_25: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_620, 4); quantized_decomposed_dequantize_per_tensor_default_620 = None 2025-06-05T23:26:40.2815671Z aten_unsqueeze_copy_default_26: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_623, 4); quantized_decomposed_dequantize_per_tensor_default_623 = None 2025-06-05T23:26:40.2816417Z aten_cat_default_8: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_unsqueeze_copy_default_25, aten_unsqueeze_copy_default_26], -1); aten_unsqueeze_copy_default_25 = aten_unsqueeze_copy_default_26 = None 2025-06-05T23:26:40.2817296Z quantized_decomposed_quantize_per_tensor_default_364: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_8, 0.0003486985806375742, 19278, 0, 65535, torch.int32); aten_cat_default_8 = None 2025-06-05T23:26:40.2818483Z quantized_decomposed_dequantize_per_tensor_default_630: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_364, 0.0003486985806375742, 19278, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_364 = None 2025-06-05T23:26:40.2819266Z aten_view_copy_default_43: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_630, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_630 = None 2025-06-05T23:26:40.2820169Z quantized_decomposed_quantize_per_tensor_default_365: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_43, 0.0003486985806375742, 19278, 0, 65535, torch.int32); aten_view_copy_default_43 = None 2025-06-05T23:26:40.2820246Z 2025-06-05T23:26:40.2821207Z # File: .74:1552 in forward, code: dequantize_per_tensor_default_516 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_516, 0.0003486985806375742, 19278, 0, 65535, torch.int32); quantize_per_tensor_default_516 = None 2025-06-05T23:26:40.2822392Z quantized_decomposed_dequantize_per_tensor_default_631: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_365, 0.0003486985806375742, 19278, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_365 = None 2025-06-05T23:26:40.2822483Z 2025-06-05T23:26:40.2823004Z # File: /pytorch/executorch/examples/models/llama/rope.py:96 in apply_rotary_emb, code: xk_out = torch.stack([xk_out_r, xk_out_i], dim=-1).flatten(3) 2025-06-05T23:26:40.2823801Z aten_unsqueeze_copy_default_27: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_626, 4); quantized_decomposed_dequantize_per_tensor_default_626 = None 2025-06-05T23:26:40.2824606Z aten_unsqueeze_copy_default_28: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_629, 4); quantized_decomposed_dequantize_per_tensor_default_629 = None 2025-06-05T23:26:40.2825344Z aten_cat_default_9: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_unsqueeze_copy_default_27, aten_unsqueeze_copy_default_28], -1); aten_unsqueeze_copy_default_27 = aten_unsqueeze_copy_default_28 = None 2025-06-05T23:26:40.2826218Z quantized_decomposed_quantize_per_tensor_default_366: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_9, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_cat_default_9 = None 2025-06-05T23:26:40.2827413Z quantized_decomposed_dequantize_per_tensor_default_632: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_366, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_366 = None 2025-06-05T23:26:40.2828198Z aten_view_copy_default_44: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_632, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_632 = None 2025-06-05T23:26:40.2829120Z quantized_decomposed_quantize_per_tensor_default_367: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_44, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_view_copy_default_44 = None 2025-06-05T23:26:40.2829218Z 2025-06-05T23:26:40.2830165Z # File: .74:1558 in forward, code: dequantize_per_tensor_default_518 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_518, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantize_per_tensor_default_518 = None 2025-06-05T23:26:40.2831413Z quantized_decomposed_dequantize_per_tensor_default_633: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_367, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_367 = None 2025-06-05T23:26:40.2831490Z 2025-06-05T23:26:40.2832257Z # File: .74:1560 in forward, code: quantize_per_tensor_default_519 = torch.ops.quantized_decomposed.quantize_per_tensor.default(type_as_4, 0.0003486985806375742, 19278, 0, 65535, torch.int32); type_as_4 = None 2025-06-05T23:26:40.2833415Z quantized_decomposed_quantize_per_tensor_default_368: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_631, 0.0003486985806375742, 19278, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_631 = None 2025-06-05T23:26:40.2833490Z 2025-06-05T23:26:40.2834031Z # File: /pytorch/executorch/examples/models/llama/attention.py:416 in forward, code: q = q.transpose(1, 2) # (bs, n_local_heads, seqlen, head_dim) 2025-06-05T23:26:40.2835209Z quantized_decomposed_dequantize_per_tensor_default_634: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_368, 0.0003486985806375742, 19278, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_368 = None 2025-06-05T23:26:40.2835287Z 2025-06-05T23:26:40.2836057Z # File: .74:1563 in forward, code: quantize_per_tensor_default_520 = torch.ops.quantized_decomposed.quantize_per_tensor.default(type_as_5, 0.00036907364847138524, 31320, 0, 65535, torch.int32); type_as_5 = None 2025-06-05T23:26:40.2837215Z quantized_decomposed_quantize_per_tensor_default_369: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_633, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_633 = None 2025-06-05T23:26:40.2837291Z 2025-06-05T23:26:40.2837974Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:510 in update, code: k_out = torch.ops.aten.index_put_(self.past_k_caches, [None, input_pos], k_val) 2025-06-05T23:26:40.2839158Z quantized_decomposed_dequantize_per_tensor_default_635: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_369, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_369 = None 2025-06-05T23:26:40.2839270Z 2025-06-05T23:26:40.2839793Z # File: /pytorch/executorch/examples/models/llama/attention.py:416 in forward, code: q = q.transpose(1, 2) # (bs, n_local_heads, seqlen, head_dim) 2025-06-05T23:26:40.2840587Z aten_permute_copy_default_88: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_634, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_634 = None 2025-06-05T23:26:40.2841534Z quantized_decomposed_quantize_per_tensor_default_370: "i32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_88, 0.0003486985806375742, 19278, 0, 65535, torch.int32); aten_permute_copy_default_88 = None 2025-06-05T23:26:40.2841639Z 2025-06-05T23:26:40.2842219Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:324 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-06-05T23:26:40.2843382Z quantized_decomposed_dequantize_per_tensor_default_636: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_370, 0.0003486985806375742, 19278, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_370 = None 2025-06-05T23:26:40.2843457Z 2025-06-05T23:26:40.2843893Z # File: /pytorch/executorch/examples/models/llama/attention.py:435 in forward, code: attn_mask = self.mask[input_pos] 2025-06-05T23:26:40.2844708Z aten_index_tensor_4: "f32[1, 128]" = executorch_exir_dialects_edge__ops_aten_index_Tensor(quantized_decomposed_dequantize_per_tensor_default_119, [attn_options_input_pos]); quantized_decomposed_dequantize_per_tensor_default_119 = None 2025-06-05T23:26:40.2845578Z quantized_decomposed_quantize_per_tensor_default_371: "i32[1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_tensor_4, 0.0038910505827516317, 65535, 0, 65535, torch.int32); aten_index_tensor_4 = None 2025-06-05T23:26:40.2845658Z 2025-06-05T23:26:40.2846177Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:325 in forward, code: attn_weight += attn_mask 2025-06-05T23:26:40.2847338Z quantized_decomposed_dequantize_per_tensor_default_637: "f32[1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_371, 0.0038910505827516317, 65535, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_371 = None 2025-06-05T23:26:40.2847430Z 2025-06-05T23:26:40.2848108Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:510 in update, code: k_out = torch.ops.aten.index_put_(self.past_k_caches, [None, input_pos], k_val) 2025-06-05T23:26:40.2849413Z aten_index_put_default_4: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(quantized_decomposed_dequantize_per_tensor_default_120, [None, attn_options_input_pos], quantized_decomposed_dequantize_per_tensor_default_635); quantized_decomposed_dequantize_per_tensor_default_120 = quantized_decomposed_dequantize_per_tensor_default_635 = None 2025-06-05T23:26:40.2850342Z quantized_decomposed_quantize_per_tensor_default_372: "i32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_put_default_4, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_index_put_default_4 = None 2025-06-05T23:26:40.2850419Z 2025-06-05T23:26:40.2851250Z # File: .74:1573 in forward, code: dequantize_per_tensor_default_523 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_523, 0.00036907364847138524, 31320, 0, 65535, torch.int32) 2025-06-05T23:26:40.2852217Z quantized_decomposed_dequantize_per_tensor_default_638: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_372, 0.00036907364847138524, 31320, 0, 65535, torch.int32) 2025-06-05T23:26:40.2852295Z 2025-06-05T23:26:40.2852941Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.2853887Z quantized_decomposed_dequantize_per_tensor_default_639: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_372, 0.00036907364847138524, 31320, 0, 65535, torch.int32) 2025-06-05T23:26:40.2854837Z quantized_decomposed_dequantize_per_tensor_default_640: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_372, 0.00036907364847138524, 31320, 0, 65535, torch.int32) 2025-06-05T23:26:40.2855772Z quantized_decomposed_dequantize_per_tensor_default_641: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_372, 0.00036907364847138524, 31320, 0, 65535, torch.int32) 2025-06-05T23:26:40.2856698Z quantized_decomposed_dequantize_per_tensor_default_642: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_372, 0.00036907364847138524, 31320, 0, 65535, torch.int32) 2025-06-05T23:26:40.2857625Z quantized_decomposed_dequantize_per_tensor_default_643: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_372, 0.00036907364847138524, 31320, 0, 65535, torch.int32) 2025-06-05T23:26:40.2858587Z quantized_decomposed_dequantize_per_tensor_default_644: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_372, 0.00036907364847138524, 31320, 0, 65535, torch.int32) 2025-06-05T23:26:40.2859519Z quantized_decomposed_dequantize_per_tensor_default_645: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_372, 0.00036907364847138524, 31320, 0, 65535, torch.int32) 2025-06-05T23:26:40.2860458Z quantized_decomposed_dequantize_per_tensor_default_646: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_372, 0.00036907364847138524, 31320, 0, 65535, torch.int32) 2025-06-05T23:26:40.2861385Z quantized_decomposed_dequantize_per_tensor_default_647: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_372, 0.00036907364847138524, 31320, 0, 65535, torch.int32) 2025-06-05T23:26:40.2862323Z quantized_decomposed_dequantize_per_tensor_default_648: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_372, 0.00036907364847138524, 31320, 0, 65535, torch.int32) 2025-06-05T23:26:40.2863269Z quantized_decomposed_dequantize_per_tensor_default_649: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_372, 0.00036907364847138524, 31320, 0, 65535, torch.int32) 2025-06-05T23:26:40.2864468Z quantized_decomposed_dequantize_per_tensor_default_650: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_372, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_372 = None 2025-06-05T23:26:40.2864560Z 2025-06-05T23:26:40.2865230Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:511 in update, code: v_out = torch.ops.aten.index_put_(self.past_v_caches, [None, input_pos], v_val) 2025-06-05T23:26:40.2866529Z aten_index_put_default_5: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(quantized_decomposed_dequantize_per_tensor_default_121, [None, attn_options_input_pos], quantized_decomposed_dequantize_per_tensor_default_599); quantized_decomposed_dequantize_per_tensor_default_121 = quantized_decomposed_dequantize_per_tensor_default_599 = None 2025-06-05T23:26:40.2867475Z quantized_decomposed_quantize_per_tensor_default_373: "i32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_put_default_5, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_index_put_default_5 = None 2025-06-05T23:26:40.2867555Z 2025-06-05T23:26:40.2868363Z # File: .74:1588 in forward, code: dequantize_per_tensor_default_524 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_524, 9.550915274303406e-05, 30065, 0, 65535, torch.int32) 2025-06-05T23:26:40.2869290Z quantized_decomposed_dequantize_per_tensor_default_651: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_373, 9.550915274303406e-05, 30065, 0, 65535, torch.int32) 2025-06-05T23:26:40.2869369Z 2025-06-05T23:26:40.2870024Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.2871064Z quantized_decomposed_dequantize_per_tensor_default_652: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_373, 9.550915274303406e-05, 30065, 0, 65535, torch.int32) 2025-06-05T23:26:40.2871999Z quantized_decomposed_dequantize_per_tensor_default_653: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_373, 9.550915274303406e-05, 30065, 0, 65535, torch.int32) 2025-06-05T23:26:40.2873139Z quantized_decomposed_dequantize_per_tensor_default_654: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_373, 9.550915274303406e-05, 30065, 0, 65535, torch.int32) 2025-06-05T23:26:40.2874071Z quantized_decomposed_dequantize_per_tensor_default_655: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_373, 9.550915274303406e-05, 30065, 0, 65535, torch.int32) 2025-06-05T23:26:40.2875009Z quantized_decomposed_dequantize_per_tensor_default_656: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_373, 9.550915274303406e-05, 30065, 0, 65535, torch.int32) 2025-06-05T23:26:40.2876009Z quantized_decomposed_dequantize_per_tensor_default_657: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_373, 9.550915274303406e-05, 30065, 0, 65535, torch.int32) 2025-06-05T23:26:40.2876968Z quantized_decomposed_dequantize_per_tensor_default_658: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_373, 9.550915274303406e-05, 30065, 0, 65535, torch.int32) 2025-06-05T23:26:40.2877907Z quantized_decomposed_dequantize_per_tensor_default_659: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_373, 9.550915274303406e-05, 30065, 0, 65535, torch.int32) 2025-06-05T23:26:40.2878833Z quantized_decomposed_dequantize_per_tensor_default_660: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_373, 9.550915274303406e-05, 30065, 0, 65535, torch.int32) 2025-06-05T23:26:40.2879809Z quantized_decomposed_dequantize_per_tensor_default_661: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_373, 9.550915274303406e-05, 30065, 0, 65535, torch.int32) 2025-06-05T23:26:40.2880729Z quantized_decomposed_dequantize_per_tensor_default_662: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_373, 9.550915274303406e-05, 30065, 0, 65535, torch.int32) 2025-06-05T23:26:40.2881906Z quantized_decomposed_dequantize_per_tensor_default_663: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_373, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_373 = None 2025-06-05T23:26:40.2881988Z 2025-06-05T23:26:40.2882627Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.2883482Z aten_permute_copy_default_89: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_650, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_650 = None 2025-06-05T23:26:40.2884435Z quantized_decomposed_quantize_per_tensor_default_374: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_89, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_permute_copy_default_89 = None 2025-06-05T23:26:40.2885598Z quantized_decomposed_dequantize_per_tensor_default_664: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_374, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_374 = None 2025-06-05T23:26:40.2886349Z aten_select_copy_int_96: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_664, 0, 0); quantized_decomposed_dequantize_per_tensor_default_664 = None 2025-06-05T23:26:40.2887247Z quantized_decomposed_quantize_per_tensor_default_375: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_96, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_select_copy_int_96 = None 2025-06-05T23:26:40.2888447Z quantized_decomposed_dequantize_per_tensor_default_665: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_375, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_375 = None 2025-06-05T23:26:40.2889199Z aten_select_copy_int_97: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_665, 0, 0); quantized_decomposed_dequantize_per_tensor_default_665 = None 2025-06-05T23:26:40.2890098Z quantized_decomposed_quantize_per_tensor_default_376: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_97, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_select_copy_int_97 = None 2025-06-05T23:26:40.2890188Z 2025-06-05T23:26:40.2891130Z # File: .74:1609 in forward, code: dequantize_per_tensor_default_527 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_527, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantize_per_tensor_default_527 = None 2025-06-05T23:26:40.2892326Z quantized_decomposed_dequantize_per_tensor_default_666: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_376, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_376 = None 2025-06-05T23:26:40.2892403Z 2025-06-05T23:26:40.2893042Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.2893845Z aten_permute_copy_default_90: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_649, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_649 = None 2025-06-05T23:26:40.2894797Z quantized_decomposed_quantize_per_tensor_default_377: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_90, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_permute_copy_default_90 = None 2025-06-05T23:26:40.2896007Z quantized_decomposed_dequantize_per_tensor_default_667: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_377, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_377 = None 2025-06-05T23:26:40.2896753Z aten_select_copy_int_98: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_667, 0, 0); quantized_decomposed_dequantize_per_tensor_default_667 = None 2025-06-05T23:26:40.2897656Z quantized_decomposed_quantize_per_tensor_default_378: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_98, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_select_copy_int_98 = None 2025-06-05T23:26:40.2898832Z quantized_decomposed_dequantize_per_tensor_default_668: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_378, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_378 = None 2025-06-05T23:26:40.2899563Z aten_select_copy_int_99: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_668, 0, 1); quantized_decomposed_dequantize_per_tensor_default_668 = None 2025-06-05T23:26:40.2900502Z quantized_decomposed_quantize_per_tensor_default_379: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_99, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_select_copy_int_99 = None 2025-06-05T23:26:40.2900601Z 2025-06-05T23:26:40.2901549Z # File: .74:1618 in forward, code: dequantize_per_tensor_default_530 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_530, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantize_per_tensor_default_530 = None 2025-06-05T23:26:40.2902720Z quantized_decomposed_dequantize_per_tensor_default_669: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_379, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_379 = None 2025-06-05T23:26:40.2902822Z 2025-06-05T23:26:40.2903465Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.2904276Z aten_permute_copy_default_91: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_648, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_648 = None 2025-06-05T23:26:40.2905229Z quantized_decomposed_quantize_per_tensor_default_380: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_91, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_permute_copy_default_91 = None 2025-06-05T23:26:40.2906399Z quantized_decomposed_dequantize_per_tensor_default_670: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_380, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_380 = None 2025-06-05T23:26:40.2907144Z aten_select_copy_int_100: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_670, 0, 0); quantized_decomposed_dequantize_per_tensor_default_670 = None 2025-06-05T23:26:40.2908086Z quantized_decomposed_quantize_per_tensor_default_381: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_100, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_select_copy_int_100 = None 2025-06-05T23:26:40.2909252Z quantized_decomposed_dequantize_per_tensor_default_671: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_381, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_381 = None 2025-06-05T23:26:40.2909988Z aten_select_copy_int_101: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_671, 0, 2); quantized_decomposed_dequantize_per_tensor_default_671 = None 2025-06-05T23:26:40.2910981Z quantized_decomposed_quantize_per_tensor_default_382: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_101, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_select_copy_int_101 = None 2025-06-05T23:26:40.2911061Z 2025-06-05T23:26:40.2912006Z # File: .74:1627 in forward, code: dequantize_per_tensor_default_533 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_533, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantize_per_tensor_default_533 = None 2025-06-05T23:26:40.2913248Z quantized_decomposed_dequantize_per_tensor_default_672: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_382, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_382 = None 2025-06-05T23:26:40.2913324Z 2025-06-05T23:26:40.2913966Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.2914776Z aten_permute_copy_default_92: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_647, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_647 = None 2025-06-05T23:26:40.2915756Z quantized_decomposed_quantize_per_tensor_default_383: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_92, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_permute_copy_default_92 = None 2025-06-05T23:26:40.2916939Z quantized_decomposed_dequantize_per_tensor_default_673: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_383, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_383 = None 2025-06-05T23:26:40.2917676Z aten_select_copy_int_102: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_673, 0, 0); quantized_decomposed_dequantize_per_tensor_default_673 = None 2025-06-05T23:26:40.2918586Z quantized_decomposed_quantize_per_tensor_default_384: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_102, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_select_copy_int_102 = None 2025-06-05T23:26:40.2919791Z quantized_decomposed_dequantize_per_tensor_default_674: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_384, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_384 = None 2025-06-05T23:26:40.2920528Z aten_select_copy_int_103: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_674, 0, 3); quantized_decomposed_dequantize_per_tensor_default_674 = None 2025-06-05T23:26:40.2921449Z quantized_decomposed_quantize_per_tensor_default_385: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_103, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_select_copy_int_103 = None 2025-06-05T23:26:40.2921531Z 2025-06-05T23:26:40.2922475Z # File: .74:1636 in forward, code: dequantize_per_tensor_default_536 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_536, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantize_per_tensor_default_536 = None 2025-06-05T23:26:40.2923646Z quantized_decomposed_dequantize_per_tensor_default_675: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_385, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_385 = None 2025-06-05T23:26:40.2923723Z 2025-06-05T23:26:40.2924363Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.2925228Z aten_permute_copy_default_93: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_646, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_646 = None 2025-06-05T23:26:40.2926178Z quantized_decomposed_quantize_per_tensor_default_386: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_93, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_permute_copy_default_93 = None 2025-06-05T23:26:40.2927356Z quantized_decomposed_dequantize_per_tensor_default_676: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_386, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_386 = None 2025-06-05T23:26:40.2928121Z aten_select_copy_int_104: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_676, 0, 0); quantized_decomposed_dequantize_per_tensor_default_676 = None 2025-06-05T23:26:40.2929033Z quantized_decomposed_quantize_per_tensor_default_387: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_104, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_select_copy_int_104 = None 2025-06-05T23:26:40.2930209Z quantized_decomposed_dequantize_per_tensor_default_677: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_387, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_387 = None 2025-06-05T23:26:40.2930948Z aten_select_copy_int_105: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_677, 0, 4); quantized_decomposed_dequantize_per_tensor_default_677 = None 2025-06-05T23:26:40.2931885Z quantized_decomposed_quantize_per_tensor_default_388: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_105, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_select_copy_int_105 = None 2025-06-05T23:26:40.2931961Z 2025-06-05T23:26:40.2932907Z # File: .74:1645 in forward, code: dequantize_per_tensor_default_539 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_539, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantize_per_tensor_default_539 = None 2025-06-05T23:26:40.2934088Z quantized_decomposed_dequantize_per_tensor_default_678: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_388, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_388 = None 2025-06-05T23:26:40.2934165Z 2025-06-05T23:26:40.2934804Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.2935616Z aten_permute_copy_default_94: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_645, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_645 = None 2025-06-05T23:26:40.2936566Z quantized_decomposed_quantize_per_tensor_default_389: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_94, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_permute_copy_default_94 = None 2025-06-05T23:26:40.2937846Z quantized_decomposed_dequantize_per_tensor_default_679: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_389, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_389 = None 2025-06-05T23:26:40.2938586Z aten_select_copy_int_106: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_679, 0, 0); quantized_decomposed_dequantize_per_tensor_default_679 = None 2025-06-05T23:26:40.2939508Z quantized_decomposed_quantize_per_tensor_default_390: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_106, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_select_copy_int_106 = None 2025-06-05T23:26:40.2940736Z quantized_decomposed_dequantize_per_tensor_default_680: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_390, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_390 = None 2025-06-05T23:26:40.2941477Z aten_select_copy_int_107: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_680, 0, 5); quantized_decomposed_dequantize_per_tensor_default_680 = None 2025-06-05T23:26:40.2942393Z quantized_decomposed_quantize_per_tensor_default_391: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_107, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_select_copy_int_107 = None 2025-06-05T23:26:40.2942471Z 2025-06-05T23:26:40.2943423Z # File: .74:1654 in forward, code: dequantize_per_tensor_default_542 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_542, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantize_per_tensor_default_542 = None 2025-06-05T23:26:40.2944622Z quantized_decomposed_dequantize_per_tensor_default_681: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_391, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_391 = None 2025-06-05T23:26:40.2944700Z 2025-06-05T23:26:40.2945351Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.2946156Z aten_permute_copy_default_95: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_644, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_644 = None 2025-06-05T23:26:40.2947109Z quantized_decomposed_quantize_per_tensor_default_392: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_95, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_permute_copy_default_95 = None 2025-06-05T23:26:40.2948290Z quantized_decomposed_dequantize_per_tensor_default_682: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_392, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_392 = None 2025-06-05T23:26:40.2949061Z aten_select_copy_int_108: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_682, 0, 0); quantized_decomposed_dequantize_per_tensor_default_682 = None 2025-06-05T23:26:40.2950007Z quantized_decomposed_quantize_per_tensor_default_393: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_108, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_select_copy_int_108 = None 2025-06-05T23:26:40.2951227Z quantized_decomposed_dequantize_per_tensor_default_683: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_393, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_393 = None 2025-06-05T23:26:40.2951964Z aten_select_copy_int_109: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_683, 0, 6); quantized_decomposed_dequantize_per_tensor_default_683 = None 2025-06-05T23:26:40.2952921Z quantized_decomposed_quantize_per_tensor_default_394: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_109, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_select_copy_int_109 = None 2025-06-05T23:26:40.2953000Z 2025-06-05T23:26:40.2953951Z # File: .74:1663 in forward, code: dequantize_per_tensor_default_545 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_545, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantize_per_tensor_default_545 = None 2025-06-05T23:26:40.2955125Z quantized_decomposed_dequantize_per_tensor_default_684: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_394, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_394 = None 2025-06-05T23:26:40.2955206Z 2025-06-05T23:26:40.2955864Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.2956704Z aten_permute_copy_default_96: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_643, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_643 = None 2025-06-05T23:26:40.2957658Z quantized_decomposed_quantize_per_tensor_default_395: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_96, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_permute_copy_default_96 = None 2025-06-05T23:26:40.2958840Z quantized_decomposed_dequantize_per_tensor_default_685: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_395, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_395 = None 2025-06-05T23:26:40.2959582Z aten_select_copy_int_110: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_685, 0, 0); quantized_decomposed_dequantize_per_tensor_default_685 = None 2025-06-05T23:26:40.2960504Z quantized_decomposed_quantize_per_tensor_default_396: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_110, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_select_copy_int_110 = None 2025-06-05T23:26:40.2961707Z quantized_decomposed_dequantize_per_tensor_default_686: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_396, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_396 = None 2025-06-05T23:26:40.2962462Z aten_select_copy_int_111: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_686, 0, 7); quantized_decomposed_dequantize_per_tensor_default_686 = None 2025-06-05T23:26:40.2963384Z quantized_decomposed_quantize_per_tensor_default_397: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_111, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_select_copy_int_111 = None 2025-06-05T23:26:40.2963459Z 2025-06-05T23:26:40.2964442Z # File: .74:1672 in forward, code: dequantize_per_tensor_default_548 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_548, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantize_per_tensor_default_548 = None 2025-06-05T23:26:40.2965600Z quantized_decomposed_dequantize_per_tensor_default_687: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_397, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_397 = None 2025-06-05T23:26:40.2965680Z 2025-06-05T23:26:40.2966329Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.2967136Z aten_permute_copy_default_97: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_642, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_642 = None 2025-06-05T23:26:40.2968084Z quantized_decomposed_quantize_per_tensor_default_398: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_97, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_permute_copy_default_97 = None 2025-06-05T23:26:40.2969290Z quantized_decomposed_dequantize_per_tensor_default_688: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_398, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_398 = None 2025-06-05T23:26:40.2970023Z aten_select_copy_int_112: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_688, 0, 0); quantized_decomposed_dequantize_per_tensor_default_688 = None 2025-06-05T23:26:40.2970947Z quantized_decomposed_quantize_per_tensor_default_399: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_112, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_select_copy_int_112 = None 2025-06-05T23:26:40.2972114Z quantized_decomposed_dequantize_per_tensor_default_689: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_399, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_399 = None 2025-06-05T23:26:40.2973075Z aten_select_copy_int_113: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_689, 0, 8); quantized_decomposed_dequantize_per_tensor_default_689 = None 2025-06-05T23:26:40.2974053Z quantized_decomposed_quantize_per_tensor_default_400: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_113, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_select_copy_int_113 = None 2025-06-05T23:26:40.2974160Z 2025-06-05T23:26:40.2975118Z # File: .74:1681 in forward, code: dequantize_per_tensor_default_551 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_551, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantize_per_tensor_default_551 = None 2025-06-05T23:26:40.2976278Z quantized_decomposed_dequantize_per_tensor_default_690: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_400, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_400 = None 2025-06-05T23:26:40.2976390Z 2025-06-05T23:26:40.2977048Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.2977844Z aten_permute_copy_default_98: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_641, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_641 = None 2025-06-05T23:26:40.2978791Z quantized_decomposed_quantize_per_tensor_default_401: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_98, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_permute_copy_default_98 = None 2025-06-05T23:26:40.2979971Z quantized_decomposed_dequantize_per_tensor_default_691: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_401, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_401 = None 2025-06-05T23:26:40.2980709Z aten_select_copy_int_114: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_691, 0, 0); quantized_decomposed_dequantize_per_tensor_default_691 = None 2025-06-05T23:26:40.2981661Z quantized_decomposed_quantize_per_tensor_default_402: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_114, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_select_copy_int_114 = None 2025-06-05T23:26:40.2982820Z quantized_decomposed_dequantize_per_tensor_default_692: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_402, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_402 = None 2025-06-05T23:26:40.2983560Z aten_select_copy_int_115: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_692, 0, 9); quantized_decomposed_dequantize_per_tensor_default_692 = None 2025-06-05T23:26:40.2984464Z quantized_decomposed_quantize_per_tensor_default_403: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_115, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_select_copy_int_115 = None 2025-06-05T23:26:40.2984539Z 2025-06-05T23:26:40.2985501Z # File: .74:1690 in forward, code: dequantize_per_tensor_default_554 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_554, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantize_per_tensor_default_554 = None 2025-06-05T23:26:40.2986727Z quantized_decomposed_dequantize_per_tensor_default_693: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_403, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_403 = None 2025-06-05T23:26:40.2986804Z 2025-06-05T23:26:40.2987456Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.2988257Z aten_permute_copy_default_99: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_640, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_640 = None 2025-06-05T23:26:40.2989244Z quantized_decomposed_quantize_per_tensor_default_404: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_99, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_permute_copy_default_99 = None 2025-06-05T23:26:40.2990411Z quantized_decomposed_dequantize_per_tensor_default_694: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_404, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_404 = None 2025-06-05T23:26:40.2991201Z aten_select_copy_int_116: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_694, 0, 0); quantized_decomposed_dequantize_per_tensor_default_694 = None 2025-06-05T23:26:40.2992123Z quantized_decomposed_quantize_per_tensor_default_405: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_116, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_select_copy_int_116 = None 2025-06-05T23:26:40.2993324Z quantized_decomposed_dequantize_per_tensor_default_695: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_405, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_405 = None 2025-06-05T23:26:40.2994080Z aten_select_copy_int_117: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_695, 0, 10); quantized_decomposed_dequantize_per_tensor_default_695 = None 2025-06-05T23:26:40.2994984Z quantized_decomposed_quantize_per_tensor_default_406: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_117, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_select_copy_int_117 = None 2025-06-05T23:26:40.2995064Z 2025-06-05T23:26:40.2996026Z # File: .74:1699 in forward, code: dequantize_per_tensor_default_557 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_557, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantize_per_tensor_default_557 = None 2025-06-05T23:26:40.2997191Z quantized_decomposed_dequantize_per_tensor_default_696: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_406, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_406 = None 2025-06-05T23:26:40.2997266Z 2025-06-05T23:26:40.2997916Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.2998772Z aten_permute_copy_default_100: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_639, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_639 = None 2025-06-05T23:26:40.2999741Z quantized_decomposed_quantize_per_tensor_default_407: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_100, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_permute_copy_default_100 = None 2025-06-05T23:26:40.3000904Z quantized_decomposed_dequantize_per_tensor_default_697: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_407, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_407 = None 2025-06-05T23:26:40.3001666Z aten_select_copy_int_118: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_697, 0, 0); quantized_decomposed_dequantize_per_tensor_default_697 = None 2025-06-05T23:26:40.3002590Z quantized_decomposed_quantize_per_tensor_default_408: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_118, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_select_copy_int_118 = None 2025-06-05T23:26:40.3003754Z quantized_decomposed_dequantize_per_tensor_default_698: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_408, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_408 = None 2025-06-05T23:26:40.3004503Z aten_select_copy_int_119: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_698, 0, 11); quantized_decomposed_dequantize_per_tensor_default_698 = None 2025-06-05T23:26:40.3005456Z quantized_decomposed_quantize_per_tensor_default_409: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_119, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_select_copy_int_119 = None 2025-06-05T23:26:40.3005533Z 2025-06-05T23:26:40.3006484Z # File: .74:1708 in forward, code: dequantize_per_tensor_default_560 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_560, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantize_per_tensor_default_560 = None 2025-06-05T23:26:40.3007649Z quantized_decomposed_dequantize_per_tensor_default_699: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_409, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_409 = None 2025-06-05T23:26:40.3007738Z 2025-06-05T23:26:40.3008374Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.3013916Z aten_cat_default_10: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([quantized_decomposed_dequantize_per_tensor_default_666, quantized_decomposed_dequantize_per_tensor_default_669, quantized_decomposed_dequantize_per_tensor_default_672, quantized_decomposed_dequantize_per_tensor_default_675, quantized_decomposed_dequantize_per_tensor_default_678, quantized_decomposed_dequantize_per_tensor_default_681, quantized_decomposed_dequantize_per_tensor_default_684, quantized_decomposed_dequantize_per_tensor_default_687, quantized_decomposed_dequantize_per_tensor_default_690, quantized_decomposed_dequantize_per_tensor_default_693, quantized_decomposed_dequantize_per_tensor_default_696, quantized_decomposed_dequantize_per_tensor_default_699]); quantized_decomposed_dequantize_per_tensor_default_666 = quantized_decomposed_dequantize_per_tensor_default_669 = quantized_decomposed_dequantize_per_tensor_default_672 = quantized_decomposed_dequantize_per_tensor_default_675 = quantized_decomposed_dequantize_per_tensor_default_678 = quantized_decomposed_dequantize_per_tensor_default_681 = quantized_decomposed_dequantize_per_tensor_default_684 = quantized_decomposed_dequantize_per_tensor_default_687 = quantized_decomposed_dequantize_per_tensor_default_690 = quantized_decomposed_dequantize_per_tensor_default_693 = quantized_decomposed_dequantize_per_tensor_default_696 = quantized_decomposed_dequantize_per_tensor_default_699 = None 2025-06-05T23:26:40.3014868Z quantized_decomposed_quantize_per_tensor_default_410: "i32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_10, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_cat_default_10 = None 2025-06-05T23:26:40.3016045Z quantized_decomposed_dequantize_per_tensor_default_700: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_410, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_410 = None 2025-06-05T23:26:40.3016822Z aten_view_copy_default_45: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_700, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_700 = None 2025-06-05T23:26:40.3017739Z quantized_decomposed_quantize_per_tensor_default_411: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_45, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_view_copy_default_45 = None 2025-06-05T23:26:40.3017831Z 2025-06-05T23:26:40.3018414Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:324 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-06-05T23:26:40.3019631Z quantized_decomposed_dequantize_per_tensor_default_701: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_411, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_411 = None 2025-06-05T23:26:40.3019708Z 2025-06-05T23:26:40.3020353Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.3021174Z aten_permute_copy_default_101: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_663, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_663 = None 2025-06-05T23:26:40.3022118Z quantized_decomposed_quantize_per_tensor_default_412: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_101, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_permute_copy_default_101 = None 2025-06-05T23:26:40.3023269Z quantized_decomposed_dequantize_per_tensor_default_702: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_412, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_412 = None 2025-06-05T23:26:40.3024067Z aten_select_copy_int_120: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_702, 0, 0); quantized_decomposed_dequantize_per_tensor_default_702 = None 2025-06-05T23:26:40.3024971Z quantized_decomposed_quantize_per_tensor_default_413: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_120, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_select_copy_int_120 = None 2025-06-05T23:26:40.3026129Z quantized_decomposed_dequantize_per_tensor_default_703: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_413, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_413 = None 2025-06-05T23:26:40.3026890Z aten_select_copy_int_121: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_703, 0, 0); quantized_decomposed_dequantize_per_tensor_default_703 = None 2025-06-05T23:26:40.3027790Z quantized_decomposed_quantize_per_tensor_default_414: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_121, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_select_copy_int_121 = None 2025-06-05T23:26:40.3027876Z 2025-06-05T23:26:40.3028820Z # File: .74:1723 in forward, code: dequantize_per_tensor_default_565 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_565, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantize_per_tensor_default_565 = None 2025-06-05T23:26:40.3029976Z quantized_decomposed_dequantize_per_tensor_default_704: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_414, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_414 = None 2025-06-05T23:26:40.3030052Z 2025-06-05T23:26:40.3030694Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.3031634Z aten_permute_copy_default_102: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_662, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_662 = None 2025-06-05T23:26:40.3032581Z quantized_decomposed_quantize_per_tensor_default_415: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_102, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_permute_copy_default_102 = None 2025-06-05T23:26:40.3033740Z quantized_decomposed_dequantize_per_tensor_default_705: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_415, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_415 = None 2025-06-05T23:26:40.3034494Z aten_select_copy_int_122: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_705, 0, 0); quantized_decomposed_dequantize_per_tensor_default_705 = None 2025-06-05T23:26:40.3035391Z quantized_decomposed_quantize_per_tensor_default_416: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_122, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_select_copy_int_122 = None 2025-06-05T23:26:40.3036616Z quantized_decomposed_dequantize_per_tensor_default_706: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_416, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_416 = None 2025-06-05T23:26:40.3037355Z aten_select_copy_int_123: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_706, 0, 1); quantized_decomposed_dequantize_per_tensor_default_706 = None 2025-06-05T23:26:40.3038260Z quantized_decomposed_quantize_per_tensor_default_417: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_123, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_select_copy_int_123 = None 2025-06-05T23:26:40.3038360Z 2025-06-05T23:26:40.3039306Z # File: .74:1732 in forward, code: dequantize_per_tensor_default_568 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_568, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantize_per_tensor_default_568 = None 2025-06-05T23:26:40.3040471Z quantized_decomposed_dequantize_per_tensor_default_707: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_417, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_417 = None 2025-06-05T23:26:40.3040551Z 2025-06-05T23:26:40.3041190Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.3042002Z aten_permute_copy_default_103: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_661, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_661 = None 2025-06-05T23:26:40.3042976Z quantized_decomposed_quantize_per_tensor_default_418: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_103, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_permute_copy_default_103 = None 2025-06-05T23:26:40.3044144Z quantized_decomposed_dequantize_per_tensor_default_708: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_418, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_418 = None 2025-06-05T23:26:40.3044886Z aten_select_copy_int_124: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_708, 0, 0); quantized_decomposed_dequantize_per_tensor_default_708 = None 2025-06-05T23:26:40.3045781Z quantized_decomposed_quantize_per_tensor_default_419: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_124, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_select_copy_int_124 = None 2025-06-05T23:26:40.3046944Z quantized_decomposed_dequantize_per_tensor_default_709: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_419, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_419 = None 2025-06-05T23:26:40.3047674Z aten_select_copy_int_125: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_709, 0, 2); quantized_decomposed_dequantize_per_tensor_default_709 = None 2025-06-05T23:26:40.3048623Z quantized_decomposed_quantize_per_tensor_default_420: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_125, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_select_copy_int_125 = None 2025-06-05T23:26:40.3048699Z 2025-06-05T23:26:40.3049638Z # File: .74:1741 in forward, code: dequantize_per_tensor_default_571 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_571, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantize_per_tensor_default_571 = None 2025-06-05T23:26:40.3050798Z quantized_decomposed_dequantize_per_tensor_default_710: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_420, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_420 = None 2025-06-05T23:26:40.3050901Z 2025-06-05T23:26:40.3051541Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.3052359Z aten_permute_copy_default_104: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_660, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_660 = None 2025-06-05T23:26:40.3053309Z quantized_decomposed_quantize_per_tensor_default_421: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_104, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_permute_copy_default_104 = None 2025-06-05T23:26:40.3054473Z quantized_decomposed_dequantize_per_tensor_default_711: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_421, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_421 = None 2025-06-05T23:26:40.3055238Z aten_select_copy_int_126: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_711, 0, 0); quantized_decomposed_dequantize_per_tensor_default_711 = None 2025-06-05T23:26:40.3056129Z quantized_decomposed_quantize_per_tensor_default_422: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_126, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_select_copy_int_126 = None 2025-06-05T23:26:40.3057295Z quantized_decomposed_dequantize_per_tensor_default_712: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_422, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_422 = None 2025-06-05T23:26:40.3058026Z aten_select_copy_int_127: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_712, 0, 3); quantized_decomposed_dequantize_per_tensor_default_712 = None 2025-06-05T23:26:40.3058930Z quantized_decomposed_quantize_per_tensor_default_423: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_127, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_select_copy_int_127 = None 2025-06-05T23:26:40.3059006Z 2025-06-05T23:26:40.3059972Z # File: .74:1750 in forward, code: dequantize_per_tensor_default_574 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_574, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantize_per_tensor_default_574 = None 2025-06-05T23:26:40.3061154Z quantized_decomposed_dequantize_per_tensor_default_713: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_423, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_423 = None 2025-06-05T23:26:40.3061229Z 2025-06-05T23:26:40.3061869Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.3062680Z aten_permute_copy_default_105: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_659, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_659 = None 2025-06-05T23:26:40.3063650Z quantized_decomposed_quantize_per_tensor_default_424: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_105, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_permute_copy_default_105 = None 2025-06-05T23:26:40.3064819Z quantized_decomposed_dequantize_per_tensor_default_714: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_424, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_424 = None 2025-06-05T23:26:40.3065559Z aten_select_copy_int_128: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_714, 0, 0); quantized_decomposed_dequantize_per_tensor_default_714 = None 2025-06-05T23:26:40.3066463Z quantized_decomposed_quantize_per_tensor_default_425: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_128, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_select_copy_int_128 = None 2025-06-05T23:26:40.3067649Z quantized_decomposed_dequantize_per_tensor_default_715: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_425, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_425 = None 2025-06-05T23:26:40.3068377Z aten_select_copy_int_129: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_715, 0, 4); quantized_decomposed_dequantize_per_tensor_default_715 = None 2025-06-05T23:26:40.3069287Z quantized_decomposed_quantize_per_tensor_default_426: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_129, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_select_copy_int_129 = None 2025-06-05T23:26:40.3069366Z 2025-06-05T23:26:40.3070304Z # File: .74:1759 in forward, code: dequantize_per_tensor_default_577 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_577, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantize_per_tensor_default_577 = None 2025-06-05T23:26:40.3071532Z quantized_decomposed_dequantize_per_tensor_default_716: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_426, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_426 = None 2025-06-05T23:26:40.3071614Z 2025-06-05T23:26:40.3072309Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.3073299Z aten_permute_copy_default_106: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_658, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_658 = None 2025-06-05T23:26:40.3074254Z quantized_decomposed_quantize_per_tensor_default_427: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_106, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_permute_copy_default_106 = None 2025-06-05T23:26:40.3075419Z quantized_decomposed_dequantize_per_tensor_default_717: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_427, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_427 = None 2025-06-05T23:26:40.3076245Z aten_select_copy_int_130: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_717, 0, 0); quantized_decomposed_dequantize_per_tensor_default_717 = None 2025-06-05T23:26:40.3077157Z quantized_decomposed_quantize_per_tensor_default_428: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_130, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_select_copy_int_130 = None 2025-06-05T23:26:40.3078313Z quantized_decomposed_dequantize_per_tensor_default_718: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_428, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_428 = None 2025-06-05T23:26:40.3079045Z aten_select_copy_int_131: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_718, 0, 5); quantized_decomposed_dequantize_per_tensor_default_718 = None 2025-06-05T23:26:40.3080001Z quantized_decomposed_quantize_per_tensor_default_429: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_131, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_select_copy_int_131 = None 2025-06-05T23:26:40.3093146Z 2025-06-05T23:26:40.3094267Z # File: .74:1768 in forward, code: dequantize_per_tensor_default_580 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_580, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantize_per_tensor_default_580 = None 2025-06-05T23:26:40.3095476Z quantized_decomposed_dequantize_per_tensor_default_719: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_429, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_429 = None 2025-06-05T23:26:40.3095576Z 2025-06-05T23:26:40.3096247Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.3097079Z aten_permute_copy_default_107: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_657, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_657 = None 2025-06-05T23:26:40.3098236Z quantized_decomposed_quantize_per_tensor_default_430: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_107, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_permute_copy_default_107 = None 2025-06-05T23:26:40.3099486Z quantized_decomposed_dequantize_per_tensor_default_720: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_430, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_430 = None 2025-06-05T23:26:40.3100234Z aten_select_copy_int_132: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_720, 0, 0); quantized_decomposed_dequantize_per_tensor_default_720 = None 2025-06-05T23:26:40.3101186Z quantized_decomposed_quantize_per_tensor_default_431: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_132, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_select_copy_int_132 = None 2025-06-05T23:26:40.3102362Z quantized_decomposed_dequantize_per_tensor_default_721: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_431, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_431 = None 2025-06-05T23:26:40.3103107Z aten_select_copy_int_133: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_721, 0, 6); quantized_decomposed_dequantize_per_tensor_default_721 = None 2025-06-05T23:26:40.3104026Z quantized_decomposed_quantize_per_tensor_default_432: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_133, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_select_copy_int_133 = None 2025-06-05T23:26:40.3104118Z 2025-06-05T23:26:40.3105062Z # File: .74:1777 in forward, code: dequantize_per_tensor_default_583 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_583, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantize_per_tensor_default_583 = None 2025-06-05T23:26:40.3106283Z quantized_decomposed_dequantize_per_tensor_default_722: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_432, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_432 = None 2025-06-05T23:26:40.3106366Z 2025-06-05T23:26:40.3107019Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.3107853Z aten_permute_copy_default_108: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_656, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_656 = None 2025-06-05T23:26:40.3108810Z quantized_decomposed_quantize_per_tensor_default_433: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_108, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_permute_copy_default_108 = None 2025-06-05T23:26:40.3110014Z quantized_decomposed_dequantize_per_tensor_default_723: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_433, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_433 = None 2025-06-05T23:26:40.3110932Z aten_select_copy_int_134: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_723, 0, 0); quantized_decomposed_dequantize_per_tensor_default_723 = None 2025-06-05T23:26:40.3115162Z quantized_decomposed_quantize_per_tensor_default_434: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_134, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_select_copy_int_134 = None 2025-06-05T23:26:40.3116569Z quantized_decomposed_dequantize_per_tensor_default_724: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_434, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_434 = None 2025-06-05T23:26:40.3117393Z aten_select_copy_int_135: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_724, 0, 7); quantized_decomposed_dequantize_per_tensor_default_724 = None 2025-06-05T23:26:40.3118288Z quantized_decomposed_quantize_per_tensor_default_435: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_135, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_select_copy_int_135 = None 2025-06-05T23:26:40.3118362Z 2025-06-05T23:26:40.3119321Z # File: .74:1786 in forward, code: dequantize_per_tensor_default_586 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_586, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantize_per_tensor_default_586 = None 2025-06-05T23:26:40.3120481Z quantized_decomposed_dequantize_per_tensor_default_725: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_435, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_435 = None 2025-06-05T23:26:40.3120555Z 2025-06-05T23:26:40.3121209Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.3122048Z aten_permute_copy_default_109: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_655, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_655 = None 2025-06-05T23:26:40.3123013Z quantized_decomposed_quantize_per_tensor_default_436: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_109, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_permute_copy_default_109 = None 2025-06-05T23:26:40.3124184Z quantized_decomposed_dequantize_per_tensor_default_726: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_436, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_436 = None 2025-06-05T23:26:40.3124925Z aten_select_copy_int_136: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_726, 0, 0); quantized_decomposed_dequantize_per_tensor_default_726 = None 2025-06-05T23:26:40.3125828Z quantized_decomposed_quantize_per_tensor_default_437: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_136, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_select_copy_int_136 = None 2025-06-05T23:26:40.3127042Z quantized_decomposed_dequantize_per_tensor_default_727: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_437, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_437 = None 2025-06-05T23:26:40.3127788Z aten_select_copy_int_137: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_727, 0, 8); quantized_decomposed_dequantize_per_tensor_default_727 = None 2025-06-05T23:26:40.3128688Z quantized_decomposed_quantize_per_tensor_default_438: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_137, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_select_copy_int_137 = None 2025-06-05T23:26:40.3128794Z 2025-06-05T23:26:40.3129758Z # File: .74:1795 in forward, code: dequantize_per_tensor_default_589 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_589, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantize_per_tensor_default_589 = None 2025-06-05T23:26:40.3130924Z quantized_decomposed_dequantize_per_tensor_default_728: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_438, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_438 = None 2025-06-05T23:26:40.3131000Z 2025-06-05T23:26:40.3131658Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.3132473Z aten_permute_copy_default_110: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_654, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_654 = None 2025-06-05T23:26:40.3133458Z quantized_decomposed_quantize_per_tensor_default_439: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_110, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_permute_copy_default_110 = None 2025-06-05T23:26:40.3134643Z quantized_decomposed_dequantize_per_tensor_default_729: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_439, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_439 = None 2025-06-05T23:26:40.3135400Z aten_select_copy_int_138: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_729, 0, 0); quantized_decomposed_dequantize_per_tensor_default_729 = None 2025-06-05T23:26:40.3136304Z quantized_decomposed_quantize_per_tensor_default_440: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_138, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_select_copy_int_138 = None 2025-06-05T23:26:40.3137533Z quantized_decomposed_dequantize_per_tensor_default_730: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_440, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_440 = None 2025-06-05T23:26:40.3138297Z aten_select_copy_int_139: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_730, 0, 9); quantized_decomposed_dequantize_per_tensor_default_730 = None 2025-06-05T23:26:40.3139294Z quantized_decomposed_quantize_per_tensor_default_441: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_139, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_select_copy_int_139 = None 2025-06-05T23:26:40.3139389Z 2025-06-05T23:26:40.3140333Z # File: .74:1804 in forward, code: dequantize_per_tensor_default_592 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_592, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantize_per_tensor_default_592 = None 2025-06-05T23:26:40.3141492Z quantized_decomposed_dequantize_per_tensor_default_731: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_441, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_441 = None 2025-06-05T23:26:40.3141614Z 2025-06-05T23:26:40.3142258Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.3143073Z aten_permute_copy_default_111: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_653, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_653 = None 2025-06-05T23:26:40.3144030Z quantized_decomposed_quantize_per_tensor_default_442: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_111, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_permute_copy_default_111 = None 2025-06-05T23:26:40.3145185Z quantized_decomposed_dequantize_per_tensor_default_732: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_442, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_442 = None 2025-06-05T23:26:40.3145988Z aten_select_copy_int_140: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_732, 0, 0); quantized_decomposed_dequantize_per_tensor_default_732 = None 2025-06-05T23:26:40.3146897Z quantized_decomposed_quantize_per_tensor_default_443: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_140, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_select_copy_int_140 = None 2025-06-05T23:26:40.3148064Z quantized_decomposed_dequantize_per_tensor_default_733: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_443, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_443 = None 2025-06-05T23:26:40.3148802Z aten_select_copy_int_141: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_733, 0, 10); quantized_decomposed_dequantize_per_tensor_default_733 = None 2025-06-05T23:26:40.3149702Z quantized_decomposed_quantize_per_tensor_default_444: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_141, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_select_copy_int_141 = None 2025-06-05T23:26:40.3149790Z 2025-06-05T23:26:40.3150755Z # File: .74:1813 in forward, code: dequantize_per_tensor_default_595 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_595, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantize_per_tensor_default_595 = None 2025-06-05T23:26:40.3152024Z quantized_decomposed_dequantize_per_tensor_default_734: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_444, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_444 = None 2025-06-05T23:26:40.3152116Z 2025-06-05T23:26:40.3152758Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.3153559Z aten_permute_copy_default_112: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_652, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_652 = None 2025-06-05T23:26:40.3154554Z quantized_decomposed_quantize_per_tensor_default_445: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_112, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_permute_copy_default_112 = None 2025-06-05T23:26:40.3155713Z quantized_decomposed_dequantize_per_tensor_default_735: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_445, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_445 = None 2025-06-05T23:26:40.3156465Z aten_select_copy_int_142: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_735, 0, 0); quantized_decomposed_dequantize_per_tensor_default_735 = None 2025-06-05T23:26:40.3157373Z quantized_decomposed_quantize_per_tensor_default_446: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_142, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_select_copy_int_142 = None 2025-06-05T23:26:40.3158568Z quantized_decomposed_dequantize_per_tensor_default_736: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_446, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_446 = None 2025-06-05T23:26:40.3159306Z aten_select_copy_int_143: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_736, 0, 11); quantized_decomposed_dequantize_per_tensor_default_736 = None 2025-06-05T23:26:40.3160208Z quantized_decomposed_quantize_per_tensor_default_447: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_143, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_select_copy_int_143 = None 2025-06-05T23:26:40.3160298Z 2025-06-05T23:26:40.3161240Z # File: .74:1822 in forward, code: dequantize_per_tensor_default_598 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_598, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantize_per_tensor_default_598 = None 2025-06-05T23:26:40.3162395Z quantized_decomposed_dequantize_per_tensor_default_737: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_447, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_447 = None 2025-06-05T23:26:40.3162485Z 2025-06-05T23:26:40.3163179Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.3168749Z aten_cat_default_11: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([quantized_decomposed_dequantize_per_tensor_default_704, quantized_decomposed_dequantize_per_tensor_default_707, quantized_decomposed_dequantize_per_tensor_default_710, quantized_decomposed_dequantize_per_tensor_default_713, quantized_decomposed_dequantize_per_tensor_default_716, quantized_decomposed_dequantize_per_tensor_default_719, quantized_decomposed_dequantize_per_tensor_default_722, quantized_decomposed_dequantize_per_tensor_default_725, quantized_decomposed_dequantize_per_tensor_default_728, quantized_decomposed_dequantize_per_tensor_default_731, quantized_decomposed_dequantize_per_tensor_default_734, quantized_decomposed_dequantize_per_tensor_default_737]); quantized_decomposed_dequantize_per_tensor_default_704 = quantized_decomposed_dequantize_per_tensor_default_707 = quantized_decomposed_dequantize_per_tensor_default_710 = quantized_decomposed_dequantize_per_tensor_default_713 = quantized_decomposed_dequantize_per_tensor_default_716 = quantized_decomposed_dequantize_per_tensor_default_719 = quantized_decomposed_dequantize_per_tensor_default_722 = quantized_decomposed_dequantize_per_tensor_default_725 = quantized_decomposed_dequantize_per_tensor_default_728 = quantized_decomposed_dequantize_per_tensor_default_731 = quantized_decomposed_dequantize_per_tensor_default_734 = quantized_decomposed_dequantize_per_tensor_default_737 = None 2025-06-05T23:26:40.3169670Z quantized_decomposed_quantize_per_tensor_default_448: "i32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_11, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_cat_default_11 = None 2025-06-05T23:26:40.3170826Z quantized_decomposed_dequantize_per_tensor_default_738: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_448, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_448 = None 2025-06-05T23:26:40.3171642Z aten_view_copy_default_46: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_738, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_738 = None 2025-06-05T23:26:40.3172571Z quantized_decomposed_quantize_per_tensor_default_449: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_46, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_view_copy_default_46 = None 2025-06-05T23:26:40.3172846Z 2025-06-05T23:26:40.3173789Z # File: .74:1828 in forward, code: dequantize_per_tensor_default_600 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_600, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantize_per_tensor_default_600 = None 2025-06-05T23:26:40.3174963Z quantized_decomposed_dequantize_per_tensor_default_739: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_449, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_449 = None 2025-06-05T23:26:40.3175040Z 2025-06-05T23:26:40.3176003Z # File: .74:1829 in forward, code: quantize_per_tensor_default_601 = torch.ops.quantized_decomposed.quantize_per_tensor.default(dequantize_per_tensor_default_600, 0.00010338902211515233, 0, -32767, 32767, torch.int16); dequantize_per_tensor_default_600 = None 2025-06-05T23:26:40.3177259Z quantized_decomposed_quantize_per_tensor_default_450: "i16[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_739, 0.00010338902211515233, 0, -32767, 32767, torch.int16); quantized_decomposed_dequantize_per_tensor_default_739 = None 2025-06-05T23:26:40.3177374Z 2025-06-05T23:26:40.3177853Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:327 in forward, code: y = attn_weight @ v 2025-06-05T23:26:40.3179021Z quantized_decomposed_dequantize_per_tensor_default_740: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_450, 0.00010338902211515233, 0, -32767, 32767, torch.int16); quantized_decomposed_quantize_per_tensor_default_450 = None 2025-06-05T23:26:40.3179137Z 2025-06-05T23:26:40.3179730Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:324 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-06-05T23:26:40.3180540Z aten_permute_copy_default_113: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_701, [0, 1, 3, 2]); quantized_decomposed_dequantize_per_tensor_default_701 = None 2025-06-05T23:26:40.3181509Z quantized_decomposed_quantize_per_tensor_default_451: "i32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_113, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_permute_copy_default_113 = None 2025-06-05T23:26:40.3181585Z 2025-06-05T23:26:40.3182532Z # File: .74:1833 in forward, code: dequantize_per_tensor_default_602 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_602, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantize_per_tensor_default_602 = None 2025-06-05T23:26:40.3183718Z quantized_decomposed_dequantize_per_tensor_default_741: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_451, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_451 = None 2025-06-05T23:26:40.3183795Z 2025-06-05T23:26:40.3184776Z # File: .74:1834 in forward, code: quantize_per_tensor_default_603 = torch.ops.quantized_decomposed.quantize_per_tensor.default(dequantize_per_tensor_default_602, 0.00038538043736480176, 0, -32767, 32767, torch.int16); dequantize_per_tensor_default_602 = None 2025-06-05T23:26:40.3185962Z quantized_decomposed_quantize_per_tensor_default_452: "i16[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_741, 0.00038538043736480176, 0, -32767, 32767, torch.int16); quantized_decomposed_dequantize_per_tensor_default_741 = None 2025-06-05T23:26:40.3186042Z 2025-06-05T23:26:40.3186615Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:324 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-06-05T23:26:40.3187798Z quantized_decomposed_dequantize_per_tensor_default_742: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_452, 0.00038538043736480176, 0, -32767, 32767, torch.int16); quantized_decomposed_quantize_per_tensor_default_452 = None 2025-06-05T23:26:40.3188583Z aten_expand_copy_default_8: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_636, [1, 12, 1, 64]); quantized_decomposed_dequantize_per_tensor_default_636 = None 2025-06-05T23:26:40.3189212Z aten_view_copy_default_47: "f32[12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_8, [12, 1, 64]); aten_expand_copy_default_8 = None 2025-06-05T23:26:40.3190011Z aten_expand_copy_default_9: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_742, [1, 12, 64, 128]); quantized_decomposed_dequantize_per_tensor_default_742 = None 2025-06-05T23:26:40.3190571Z aten_view_copy_default_48: "f32[12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_9, [12, 64, 128]); aten_expand_copy_default_9 = None 2025-06-05T23:26:40.3191323Z aten_bmm_default_4: "f32[12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_47, aten_view_copy_default_48); aten_view_copy_default_47 = aten_view_copy_default_48 = None 2025-06-05T23:26:40.3191868Z aten_view_copy_default_49: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_4, [1, 12, 1, 128]); aten_bmm_default_4 = None 2025-06-05T23:26:40.3192810Z quantized_decomposed_quantize_per_tensor_default_453: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_49, 0.004083077888935804, 41914, 0, 65535, torch.int32); aten_view_copy_default_49 = None 2025-06-05T23:26:40.3193966Z quantized_decomposed_dequantize_per_tensor_default_743: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_453, 0.004083077888935804, 41914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_453 = None 2025-06-05T23:26:40.3194827Z quantized_decomposed_dequantize_per_tensor_default_744: "f32[]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(b__frozen_param151, 1.9073777366429567e-06, 0, 0, 65535, torch.int32); b__frozen_param151 = None 2025-06-05T23:26:40.3196008Z aten_mul_tensor_40: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_743, quantized_decomposed_dequantize_per_tensor_default_744); quantized_decomposed_dequantize_per_tensor_default_743 = quantized_decomposed_dequantize_per_tensor_default_744 = None 2025-06-05T23:26:40.3196878Z quantized_decomposed_quantize_per_tensor_default_454: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_40, 0.0005103847361169755, 41914, 0, 65535, torch.int32); aten_mul_tensor_40 = None 2025-06-05T23:26:40.3196972Z 2025-06-05T23:26:40.3197457Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:325 in forward, code: attn_weight += attn_mask 2025-06-05T23:26:40.3198621Z quantized_decomposed_dequantize_per_tensor_default_745: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_454, 0.0005103847361169755, 41914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_454 = None 2025-06-05T23:26:40.3199769Z aten_add_tensor_12: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_745, quantized_decomposed_dequantize_per_tensor_default_637); quantized_decomposed_dequantize_per_tensor_default_745 = quantized_decomposed_dequantize_per_tensor_default_637 = None 2025-06-05T23:26:40.3200628Z quantized_decomposed_quantize_per_tensor_default_455: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_12, 0.0043187374249100685, 62811, 0, 65535, torch.int32); aten_add_tensor_12 = None 2025-06-05T23:26:40.3200764Z 2025-06-05T23:26:40.3201350Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:326 in forward, code: attn_weight = torch.softmax(attn_weight, dim=-1) 2025-06-05T23:26:40.3202517Z quantized_decomposed_dequantize_per_tensor_default_746: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_455, 0.0043187374249100685, 62811, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_455 = None 2025-06-05T23:26:40.3203307Z aten__softmax_default_2: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten__softmax_default(quantized_decomposed_dequantize_per_tensor_default_746, -1, False); quantized_decomposed_dequantize_per_tensor_default_746 = None 2025-06-05T23:26:40.3204224Z quantized_decomposed_quantize_per_tensor_default_456: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten__softmax_default_2, 1.5259021893143654e-05, 0, 0, 65535, torch.int32); aten__softmax_default_2 = None 2025-06-05T23:26:40.3204303Z 2025-06-05T23:26:40.3204772Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:327 in forward, code: y = attn_weight @ v 2025-06-05T23:26:40.3205914Z quantized_decomposed_dequantize_per_tensor_default_747: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_456, 1.5259021893143654e-05, 0, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_456 = None 2025-06-05T23:26:40.3206710Z aten_expand_copy_default_10: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_747, [1, 12, 1, 128]); quantized_decomposed_dequantize_per_tensor_default_747 = None 2025-06-05T23:26:40.3207284Z aten_view_copy_default_50: "f32[12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_10, [12, 1, 128]); aten_expand_copy_default_10 = None 2025-06-05T23:26:40.3208112Z aten_expand_copy_default_11: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_740, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_740 = None 2025-06-05T23:26:40.3208696Z aten_view_copy_default_51: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_11, [12, 128, 64]); aten_expand_copy_default_11 = None 2025-06-05T23:26:40.3209329Z aten_bmm_default_5: "f32[12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_50, aten_view_copy_default_51); aten_view_copy_default_50 = aten_view_copy_default_51 = None 2025-06-05T23:26:40.3209833Z aten_view_copy_default_52: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_5, [1, 12, 1, 64]); aten_bmm_default_5 = None 2025-06-05T23:26:40.3210763Z quantized_decomposed_quantize_per_tensor_default_457: "i32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_52, 5.6490640417905524e-05, 31487, 0, 65535, torch.int32); aten_view_copy_default_52 = None 2025-06-05T23:26:40.3210838Z 2025-06-05T23:26:40.3211460Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:329 in forward, code: return y.transpose(1, 2).contiguous().view(bsz, seqlen, self.dim) 2025-06-05T23:26:40.3212656Z quantized_decomposed_dequantize_per_tensor_default_748: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_457, 5.6490640417905524e-05, 31487, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_457 = None 2025-06-05T23:26:40.3213477Z aten_permute_copy_default_114: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_748, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_748 = None 2025-06-05T23:26:40.3214430Z quantized_decomposed_quantize_per_tensor_default_458: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_114, 5.6490640417905524e-05, 31487, 0, 65535, torch.int32); aten_permute_copy_default_114 = None 2025-06-05T23:26:40.3215582Z quantized_decomposed_dequantize_per_tensor_default_749: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_458, 5.6490640417905524e-05, 31487, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_458 = None 2025-06-05T23:26:40.3216376Z aten_view_copy_default_53: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_749, [1, 1, 768]); quantized_decomposed_dequantize_per_tensor_default_749 = None 2025-06-05T23:26:40.3217292Z quantized_decomposed_quantize_per_tensor_default_459: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_53, 5.6490640417905524e-05, 31487, 0, 65535, torch.int32); aten_view_copy_default_53 = None 2025-06-05T23:26:40.3217368Z 2025-06-05T23:26:40.3217903Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.3219065Z quantized_decomposed_dequantize_per_tensor_default_750: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_459, 5.6490640417905524e-05, 31487, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_459 = None 2025-06-05T23:26:40.3219919Z aten_unsqueeze_copy_default_29: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_750, -1); quantized_decomposed_dequantize_per_tensor_default_750 = None 2025-06-05T23:26:40.3220893Z quantized_decomposed_quantize_per_tensor_default_460: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_29, 5.6490640417905524e-05, 31487, 0, 65535, torch.int32); aten_unsqueeze_copy_default_29 = None 2025-06-05T23:26:40.3220969Z 2025-06-05T23:26:40.3221374Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.3222544Z quantized_decomposed_dequantize_per_tensor_default_751: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_460, 5.6490640417905524e-05, 31487, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_460 = None 2025-06-05T23:26:40.3223346Z aten_permute_copy_default_115: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_751, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_751 = None 2025-06-05T23:26:40.3224302Z quantized_decomposed_quantize_per_tensor_default_461: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_115, 5.6490640417905524e-05, 31487, 0, 65535, torch.int32); aten_permute_copy_default_115 = None 2025-06-05T23:26:40.3224433Z 2025-06-05T23:26:40.3224797Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.3225961Z quantized_decomposed_dequantize_per_tensor_default_752: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_461, 5.6490640417905524e-05, 31487, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_461 = None 2025-06-05T23:26:40.3227257Z aten_convolution_default_17: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_752, quantized_decomposed_dequantize_per_tensor_default_23, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_752 = quantized_decomposed_dequantize_per_tensor_default_23 = None 2025-06-05T23:26:40.3228240Z quantized_decomposed_quantize_per_tensor_default_462: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_17, 0.00010611177276587114, 33703, 0, 65535, torch.int32); aten_convolution_default_17 = None 2025-06-05T23:26:40.3228316Z 2025-06-05T23:26:40.3228736Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.3229907Z quantized_decomposed_dequantize_per_tensor_default_753: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_462, 0.00010611177276587114, 33703, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_462 = None 2025-06-05T23:26:40.3230706Z aten_permute_copy_default_116: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_753, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_753 = None 2025-06-05T23:26:40.3231781Z quantized_decomposed_quantize_per_tensor_default_463: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_116, 0.00010611177276587114, 33703, 0, 65535, torch.int32); aten_permute_copy_default_116 = None 2025-06-05T23:26:40.3231873Z 2025-06-05T23:26:40.3232414Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.3233579Z quantized_decomposed_dequantize_per_tensor_default_754: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_463, 0.00010611177276587114, 33703, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_463 = None 2025-06-05T23:26:40.3234347Z aten_squeeze_copy_dims_29: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_754, [-1]); quantized_decomposed_dequantize_per_tensor_default_754 = None 2025-06-05T23:26:40.3235253Z quantized_decomposed_quantize_per_tensor_default_464: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_29, 0.00010611177276587114, 33703, 0, 65535, torch.int32); aten_squeeze_copy_dims_29 = None 2025-06-05T23:26:40.3235344Z 2025-06-05T23:26:40.3235710Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:132 in forward, code: h = x + h 2025-06-05T23:26:40.3236903Z quantized_decomposed_dequantize_per_tensor_default_755: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_464, 0.00010611177276587114, 33703, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_464 = None 2025-06-05T23:26:40.3238075Z aten_add_tensor_13: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_577, quantized_decomposed_dequantize_per_tensor_default_755); quantized_decomposed_dequantize_per_tensor_default_577 = quantized_decomposed_dequantize_per_tensor_default_755 = None 2025-06-05T23:26:40.3238925Z quantized_decomposed_quantize_per_tensor_default_465: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_13, 0.001073345891200006, 11837, 0, 65535, torch.int32); aten_add_tensor_13 = None 2025-06-05T23:26:40.3239040Z 2025-06-05T23:26:40.3239551Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:136 in forward, code: out = h + self.feed_forward(self.ffn_norm(h)) 2025-06-05T23:26:40.3240483Z quantized_decomposed_dequantize_per_tensor_default_756: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_465, 0.001073345891200006, 11837, 0, 65535, torch.int32) 2025-06-05T23:26:40.3241653Z quantized_decomposed_dequantize_per_tensor_default_757: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_465, 0.001073345891200006, 11837, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_465 = None 2025-06-05T23:26:40.3242162Z aten_pow_tensor_scalar_5: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(quantized_decomposed_dequantize_per_tensor_default_757, 2) 2025-06-05T23:26:40.3242614Z aten_mean_dim_5: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_mean_dim(aten_pow_tensor_scalar_5, [2], True); aten_pow_tensor_scalar_5 = None 2025-06-05T23:26:40.3243065Z aten_add_scalar_5: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_add_Scalar(aten_mean_dim_5, 9.999999747378752e-06); aten_mean_dim_5 = None 2025-06-05T23:26:40.3243501Z aten_rsqrt_default_5: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_rsqrt_default(aten_add_scalar_5); aten_add_scalar_5 = None 2025-06-05T23:26:40.3244358Z aten_mul_tensor_41: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_757, aten_rsqrt_default_5); quantized_decomposed_dequantize_per_tensor_default_757 = aten_rsqrt_default_5 = None 2025-06-05T23:26:40.3245184Z aten_mul_tensor_42: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_41, quantized_decomposed_dequantize_per_tensor_default_24); aten_mul_tensor_41 = quantized_decomposed_dequantize_per_tensor_default_24 = None 2025-06-05T23:26:40.3246052Z quantized_decomposed_quantize_per_tensor_default_466: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_42, 0.00031091910204850137, 15960, 0, 65535, torch.int32); aten_mul_tensor_42 = None 2025-06-05T23:26:40.3246141Z 2025-06-05T23:26:40.3246662Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.3247597Z quantized_decomposed_dequantize_per_tensor_default_758: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_466, 0.00031091910204850137, 15960, 0, 65535, torch.int32) 2025-06-05T23:26:40.3248795Z quantized_decomposed_dequantize_per_tensor_default_759: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_466, 0.00031091910204850137, 15960, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_466 = None 2025-06-05T23:26:40.3249618Z aten_unsqueeze_copy_default_30: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_759, -1); quantized_decomposed_dequantize_per_tensor_default_759 = None 2025-06-05T23:26:40.3250586Z quantized_decomposed_quantize_per_tensor_default_467: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_30, 0.00031091910204850137, 15960, 0, 65535, torch.int32); aten_unsqueeze_copy_default_30 = None 2025-06-05T23:26:40.3250689Z 2025-06-05T23:26:40.3251093Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.3252274Z quantized_decomposed_dequantize_per_tensor_default_760: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_467, 0.00031091910204850137, 15960, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_467 = None 2025-06-05T23:26:40.3253076Z aten_permute_copy_default_117: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_760, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_760 = None 2025-06-05T23:26:40.3254025Z quantized_decomposed_quantize_per_tensor_default_468: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_117, 0.00031091910204850137, 15960, 0, 65535, torch.int32); aten_permute_copy_default_117 = None 2025-06-05T23:26:40.3254119Z 2025-06-05T23:26:40.3254478Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.3255667Z quantized_decomposed_dequantize_per_tensor_default_761: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_468, 0.00031091910204850137, 15960, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_468 = None 2025-06-05T23:26:40.3256975Z aten_convolution_default_18: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_761, quantized_decomposed_dequantize_per_tensor_default_25, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_761 = quantized_decomposed_dequantize_per_tensor_default_25 = None 2025-06-05T23:26:40.3257926Z quantized_decomposed_quantize_per_tensor_default_469: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_18, 0.00018055648251902312, 33284, 0, 65535, torch.int32); aten_convolution_default_18 = None 2025-06-05T23:26:40.3258016Z 2025-06-05T23:26:40.3258435Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.3259610Z quantized_decomposed_dequantize_per_tensor_default_762: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_469, 0.00018055648251902312, 33284, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_469 = None 2025-06-05T23:26:40.3260462Z aten_permute_copy_default_118: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_762, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_762 = None 2025-06-05T23:26:40.3261440Z quantized_decomposed_quantize_per_tensor_default_470: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_118, 0.00018055648251902312, 33284, 0, 65535, torch.int32); aten_permute_copy_default_118 = None 2025-06-05T23:26:40.3261530Z 2025-06-05T23:26:40.3262067Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.3263229Z quantized_decomposed_dequantize_per_tensor_default_763: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_470, 0.00018055648251902312, 33284, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_470 = None 2025-06-05T23:26:40.3264032Z aten_squeeze_copy_dims_30: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_763, [-1]); quantized_decomposed_dequantize_per_tensor_default_763 = None 2025-06-05T23:26:40.3264953Z quantized_decomposed_quantize_per_tensor_default_471: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_30, 0.00018055648251902312, 33284, 0, 65535, torch.int32); aten_squeeze_copy_dims_30 = None 2025-06-05T23:26:40.3265032Z 2025-06-05T23:26:40.3265560Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:37 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-06-05T23:26:40.3266504Z quantized_decomposed_dequantize_per_tensor_default_764: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_471, 0.00018055648251902312, 33284, 0, 65535, torch.int32) 2025-06-05T23:26:40.3267708Z quantized_decomposed_dequantize_per_tensor_default_765: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_471, 0.00018055648251902312, 33284, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_471 = None 2025-06-05T23:26:40.3268451Z aten_sigmoid_default_2: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_sigmoid_default(quantized_decomposed_dequantize_per_tensor_default_765); quantized_decomposed_dequantize_per_tensor_default_765 = None 2025-06-05T23:26:40.3269321Z quantized_decomposed_quantize_per_tensor_default_472: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sigmoid_default_2, 1.52587890625e-05, 0, 0, 65535, torch.int32); aten_sigmoid_default_2 = None 2025-06-05T23:26:40.3270470Z quantized_decomposed_dequantize_per_tensor_default_766: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_472, 1.52587890625e-05, 0, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_472 = None 2025-06-05T23:26:40.3271690Z aten_mul_tensor_43: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_764, quantized_decomposed_dequantize_per_tensor_default_766); quantized_decomposed_dequantize_per_tensor_default_764 = quantized_decomposed_dequantize_per_tensor_default_766 = None 2025-06-05T23:26:40.3272561Z quantized_decomposed_quantize_per_tensor_default_473: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_43, 9.284297266276553e-05, 2999, 0, 65535, torch.int32); aten_mul_tensor_43 = None 2025-06-05T23:26:40.3274015Z quantized_decomposed_dequantize_per_tensor_default_767: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_473, 9.284297266276553e-05, 2999, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_473 = None 2025-06-05T23:26:40.3274094Z 2025-06-05T23:26:40.3274637Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.3275444Z aten_unsqueeze_copy_default_31: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_758, -1); quantized_decomposed_dequantize_per_tensor_default_758 = None 2025-06-05T23:26:40.3276467Z quantized_decomposed_quantize_per_tensor_default_474: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_31, 0.00031091910204850137, 15960, 0, 65535, torch.int32); aten_unsqueeze_copy_default_31 = None 2025-06-05T23:26:40.3276560Z 2025-06-05T23:26:40.3276963Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.3278143Z quantized_decomposed_dequantize_per_tensor_default_768: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_474, 0.00031091910204850137, 15960, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_474 = None 2025-06-05T23:26:40.3278941Z aten_permute_copy_default_119: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_768, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_768 = None 2025-06-05T23:26:40.3279888Z quantized_decomposed_quantize_per_tensor_default_475: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_119, 0.00031091910204850137, 15960, 0, 65535, torch.int32); aten_permute_copy_default_119 = None 2025-06-05T23:26:40.3279984Z 2025-06-05T23:26:40.3280382Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.3281549Z quantized_decomposed_dequantize_per_tensor_default_769: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_475, 0.00031091910204850137, 15960, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_475 = None 2025-06-05T23:26:40.3282863Z aten_convolution_default_19: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_769, quantized_decomposed_dequantize_per_tensor_default_26, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_769 = quantized_decomposed_dequantize_per_tensor_default_26 = None 2025-06-05T23:26:40.3283822Z quantized_decomposed_quantize_per_tensor_default_476: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_19, 0.00019716951646842062, 31579, 0, 65535, torch.int32); aten_convolution_default_19 = None 2025-06-05T23:26:40.3283913Z 2025-06-05T23:26:40.3284332Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.3285522Z quantized_decomposed_dequantize_per_tensor_default_770: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_476, 0.00019716951646842062, 31579, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_476 = None 2025-06-05T23:26:40.3286372Z aten_permute_copy_default_120: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_770, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_770 = None 2025-06-05T23:26:40.3287327Z quantized_decomposed_quantize_per_tensor_default_477: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_120, 0.00019716951646842062, 31579, 0, 65535, torch.int32); aten_permute_copy_default_120 = None 2025-06-05T23:26:40.3287430Z 2025-06-05T23:26:40.3287981Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.3289150Z quantized_decomposed_dequantize_per_tensor_default_771: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_477, 0.00019716951646842062, 31579, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_477 = None 2025-06-05T23:26:40.3289927Z aten_squeeze_copy_dims_31: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_771, [-1]); quantized_decomposed_dequantize_per_tensor_default_771 = None 2025-06-05T23:26:40.3290841Z quantized_decomposed_quantize_per_tensor_default_478: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_31, 0.00019716951646842062, 31579, 0, 65535, torch.int32); aten_squeeze_copy_dims_31 = None 2025-06-05T23:26:40.3290921Z 2025-06-05T23:26:40.3291445Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:37 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-06-05T23:26:40.3292643Z quantized_decomposed_dequantize_per_tensor_default_772: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_478, 0.00019716951646842062, 31579, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_478 = None 2025-06-05T23:26:40.3293776Z aten_mul_tensor_44: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_767, quantized_decomposed_dequantize_per_tensor_default_772); quantized_decomposed_dequantize_per_tensor_default_767 = quantized_decomposed_dequantize_per_tensor_default_772 = None 2025-06-05T23:26:40.3294656Z quantized_decomposed_quantize_per_tensor_default_479: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_44, 0.0009127886733040214, 36679, 0, 65535, torch.int32); aten_mul_tensor_44 = None 2025-06-05T23:26:40.3294730Z 2025-06-05T23:26:40.3295258Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.3296417Z quantized_decomposed_dequantize_per_tensor_default_773: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_479, 0.0009127886733040214, 36679, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_479 = None 2025-06-05T23:26:40.3297256Z aten_unsqueeze_copy_default_32: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_773, -1); quantized_decomposed_dequantize_per_tensor_default_773 = None 2025-06-05T23:26:40.3298257Z quantized_decomposed_quantize_per_tensor_default_480: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_32, 0.0009127886733040214, 36679, 0, 65535, torch.int32); aten_unsqueeze_copy_default_32 = None 2025-06-05T23:26:40.3298333Z 2025-06-05T23:26:40.3298736Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.3299913Z quantized_decomposed_dequantize_per_tensor_default_774: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_480, 0.0009127886733040214, 36679, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_480 = None 2025-06-05T23:26:40.3300744Z aten_permute_copy_default_121: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_774, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_774 = None 2025-06-05T23:26:40.3301711Z quantized_decomposed_quantize_per_tensor_default_481: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_121, 0.0009127886733040214, 36679, 0, 65535, torch.int32); aten_permute_copy_default_121 = None 2025-06-05T23:26:40.3301786Z 2025-06-05T23:26:40.3302145Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.3303331Z quantized_decomposed_dequantize_per_tensor_default_775: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_481, 0.0009127886733040214, 36679, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_481 = None 2025-06-05T23:26:40.3304649Z aten_convolution_default_20: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_775, quantized_decomposed_dequantize_per_tensor_default_27, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_775 = quantized_decomposed_dequantize_per_tensor_default_27 = None 2025-06-05T23:26:40.3305595Z quantized_decomposed_quantize_per_tensor_default_482: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_20, 0.0011877048527821898, 2626, 0, 65535, torch.int32); aten_convolution_default_20 = None 2025-06-05T23:26:40.3305676Z 2025-06-05T23:26:40.3306097Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.3307278Z quantized_decomposed_dequantize_per_tensor_default_776: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_482, 0.0011877048527821898, 2626, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_482 = None 2025-06-05T23:26:40.3308077Z aten_permute_copy_default_122: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_776, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_776 = None 2025-06-05T23:26:40.3309018Z quantized_decomposed_quantize_per_tensor_default_483: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_122, 0.0011877048527821898, 2626, 0, 65535, torch.int32); aten_permute_copy_default_122 = None 2025-06-05T23:26:40.3309156Z 2025-06-05T23:26:40.3309695Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.3310925Z quantized_decomposed_dequantize_per_tensor_default_777: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_483, 0.0011877048527821898, 2626, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_483 = None 2025-06-05T23:26:40.3311691Z aten_squeeze_copy_dims_32: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_777, [-1]); quantized_decomposed_dequantize_per_tensor_default_777 = None 2025-06-05T23:26:40.3312635Z quantized_decomposed_quantize_per_tensor_default_484: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_32, 0.0011877048527821898, 2626, 0, 65535, torch.int32); aten_squeeze_copy_dims_32 = None 2025-06-05T23:26:40.3312731Z 2025-06-05T23:26:40.3313239Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:136 in forward, code: out = h + self.feed_forward(self.ffn_norm(h)) 2025-06-05T23:26:40.3314387Z quantized_decomposed_dequantize_per_tensor_default_778: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_484, 0.0011877048527821898, 2626, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_484 = None 2025-06-05T23:26:40.3315528Z aten_add_tensor_14: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_756, quantized_decomposed_dequantize_per_tensor_default_778); quantized_decomposed_dequantize_per_tensor_default_756 = quantized_decomposed_dequantize_per_tensor_default_778 = None 2025-06-05T23:26:40.3316380Z quantized_decomposed_quantize_per_tensor_default_485: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_14, 0.0020524393767118454, 7490, 0, 65535, torch.int32); aten_add_tensor_14 = None 2025-06-05T23:26:40.3316471Z 2025-06-05T23:26:40.3316863Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:132 in forward, code: h = x + h 2025-06-05T23:26:40.3317787Z quantized_decomposed_dequantize_per_tensor_default_779: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_485, 0.0020524393767118454, 7490, 0, 65535, torch.int32) 2025-06-05T23:26:40.3317876Z 2025-06-05T23:26:40.3318442Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:129 in forward, code: self.attention_norm(x), freqs_cos, freqs_sin, **attn_options 2025-06-05T23:26:40.3319596Z quantized_decomposed_dequantize_per_tensor_default_780: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_485, 0.0020524393767118454, 7490, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_485 = None 2025-06-05T23:26:40.3320114Z aten_pow_tensor_scalar_6: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(quantized_decomposed_dequantize_per_tensor_default_780, 2) 2025-06-05T23:26:40.3320558Z aten_mean_dim_6: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_mean_dim(aten_pow_tensor_scalar_6, [2], True); aten_pow_tensor_scalar_6 = None 2025-06-05T23:26:40.3321020Z aten_add_scalar_6: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_add_Scalar(aten_mean_dim_6, 9.999999747378752e-06); aten_mean_dim_6 = None 2025-06-05T23:26:40.3321477Z aten_rsqrt_default_6: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_rsqrt_default(aten_add_scalar_6); aten_add_scalar_6 = None 2025-06-05T23:26:40.3322327Z aten_mul_tensor_45: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_780, aten_rsqrt_default_6); quantized_decomposed_dequantize_per_tensor_default_780 = aten_rsqrt_default_6 = None 2025-06-05T23:26:40.3323135Z aten_mul_tensor_46: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_45, quantized_decomposed_dequantize_per_tensor_default_28); aten_mul_tensor_45 = quantized_decomposed_dequantize_per_tensor_default_28 = None 2025-06-05T23:26:40.3324038Z quantized_decomposed_quantize_per_tensor_default_486: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_46, 0.00036565581103786826, 25893, 0, 65535, torch.int32); aten_mul_tensor_46 = None 2025-06-05T23:26:40.3324116Z 2025-06-05T23:26:40.3324648Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.3325580Z quantized_decomposed_dequantize_per_tensor_default_781: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_486, 0.00036565581103786826, 25893, 0, 65535, torch.int32) 2025-06-05T23:26:40.3326498Z quantized_decomposed_dequantize_per_tensor_default_782: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_486, 0.00036565581103786826, 25893, 0, 65535, torch.int32) 2025-06-05T23:26:40.3327678Z quantized_decomposed_dequantize_per_tensor_default_783: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_486, 0.00036565581103786826, 25893, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_486 = None 2025-06-05T23:26:40.3328504Z aten_unsqueeze_copy_default_33: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_783, -1); quantized_decomposed_dequantize_per_tensor_default_783 = None 2025-06-05T23:26:40.3329480Z quantized_decomposed_quantize_per_tensor_default_487: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_33, 0.00036565581103786826, 25893, 0, 65535, torch.int32); aten_unsqueeze_copy_default_33 = None 2025-06-05T23:26:40.3329558Z 2025-06-05T23:26:40.3329962Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.3331145Z quantized_decomposed_dequantize_per_tensor_default_784: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_487, 0.00036565581103786826, 25893, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_487 = None 2025-06-05T23:26:40.3331948Z aten_permute_copy_default_123: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_784, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_784 = None 2025-06-05T23:26:40.3332894Z quantized_decomposed_quantize_per_tensor_default_488: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_123, 0.00036565581103786826, 25893, 0, 65535, torch.int32); aten_permute_copy_default_123 = None 2025-06-05T23:26:40.3333045Z 2025-06-05T23:26:40.3333404Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.3334569Z quantized_decomposed_dequantize_per_tensor_default_785: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_488, 0.00036565581103786826, 25893, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_488 = None 2025-06-05T23:26:40.3335871Z aten_convolution_default_21: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_785, quantized_decomposed_dequantize_per_tensor_default_29, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_785 = quantized_decomposed_dequantize_per_tensor_default_29 = None 2025-06-05T23:26:40.3336864Z quantized_decomposed_quantize_per_tensor_default_489: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_21, 0.00035187334287911654, 29898, 0, 65535, torch.int32); aten_convolution_default_21 = None 2025-06-05T23:26:40.3336953Z 2025-06-05T23:26:40.3337371Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.3338531Z quantized_decomposed_dequantize_per_tensor_default_786: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_489, 0.00035187334287911654, 29898, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_489 = None 2025-06-05T23:26:40.3339341Z aten_permute_copy_default_124: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_786, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_786 = None 2025-06-05T23:26:40.3340320Z quantized_decomposed_quantize_per_tensor_default_490: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_124, 0.00035187334287911654, 29898, 0, 65535, torch.int32); aten_permute_copy_default_124 = None 2025-06-05T23:26:40.3340408Z 2025-06-05T23:26:40.3340946Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.3342106Z quantized_decomposed_dequantize_per_tensor_default_787: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_490, 0.00035187334287911654, 29898, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_490 = None 2025-06-05T23:26:40.3342871Z aten_squeeze_copy_dims_33: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_787, [-1]); quantized_decomposed_dequantize_per_tensor_default_787 = None 2025-06-05T23:26:40.3343786Z quantized_decomposed_quantize_per_tensor_default_491: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_33, 0.00035187334287911654, 29898, 0, 65535, torch.int32); aten_squeeze_copy_dims_33 = None 2025-06-05T23:26:40.3343861Z 2025-06-05T23:26:40.3344387Z # File: /pytorch/executorch/examples/models/llama/attention.py:405 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim) 2025-06-05T23:26:40.3345597Z quantized_decomposed_dequantize_per_tensor_default_788: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_491, 0.00035187334287911654, 29898, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_491 = None 2025-06-05T23:26:40.3345708Z 2025-06-05T23:26:40.3346222Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.3347028Z aten_unsqueeze_copy_default_34: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_782, -1); quantized_decomposed_dequantize_per_tensor_default_782 = None 2025-06-05T23:26:40.3348004Z quantized_decomposed_quantize_per_tensor_default_492: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_34, 0.00036565581103786826, 25893, 0, 65535, torch.int32); aten_unsqueeze_copy_default_34 = None 2025-06-05T23:26:40.3348109Z 2025-06-05T23:26:40.3348507Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.3349687Z quantized_decomposed_dequantize_per_tensor_default_789: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_492, 0.00036565581103786826, 25893, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_492 = None 2025-06-05T23:26:40.3350485Z aten_permute_copy_default_125: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_789, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_789 = None 2025-06-05T23:26:40.3351516Z quantized_decomposed_quantize_per_tensor_default_493: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_125, 0.00036565581103786826, 25893, 0, 65535, torch.int32); aten_permute_copy_default_125 = None 2025-06-05T23:26:40.3351607Z 2025-06-05T23:26:40.3351967Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.3353163Z quantized_decomposed_dequantize_per_tensor_default_790: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_493, 0.00036565581103786826, 25893, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_493 = None 2025-06-05T23:26:40.3354463Z aten_convolution_default_22: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_790, quantized_decomposed_dequantize_per_tensor_default_30, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_790 = quantized_decomposed_dequantize_per_tensor_default_30 = None 2025-06-05T23:26:40.3355404Z quantized_decomposed_quantize_per_tensor_default_494: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_22, 0.00039280077908188105, 32440, 0, 65535, torch.int32); aten_convolution_default_22 = None 2025-06-05T23:26:40.3355492Z 2025-06-05T23:26:40.3355909Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.3357095Z quantized_decomposed_dequantize_per_tensor_default_791: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_494, 0.00039280077908188105, 32440, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_494 = None 2025-06-05T23:26:40.3357929Z aten_permute_copy_default_126: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_791, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_791 = None 2025-06-05T23:26:40.3358878Z quantized_decomposed_quantize_per_tensor_default_495: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_126, 0.00039280077908188105, 32440, 0, 65535, torch.int32); aten_permute_copy_default_126 = None 2025-06-05T23:26:40.3358965Z 2025-06-05T23:26:40.3359501Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.3360687Z quantized_decomposed_dequantize_per_tensor_default_792: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_495, 0.00039280077908188105, 32440, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_495 = None 2025-06-05T23:26:40.3361451Z aten_squeeze_copy_dims_34: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_792, [-1]); quantized_decomposed_dequantize_per_tensor_default_792 = None 2025-06-05T23:26:40.3362362Z quantized_decomposed_quantize_per_tensor_default_496: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_34, 0.00039280077908188105, 32440, 0, 65535, torch.int32); aten_squeeze_copy_dims_34 = None 2025-06-05T23:26:40.3362439Z 2025-06-05T23:26:40.3362978Z # File: /pytorch/executorch/examples/models/llama/attention.py:406 in forward, code: k = k.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim) 2025-06-05T23:26:40.3364138Z quantized_decomposed_dequantize_per_tensor_default_793: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_496, 0.00039280077908188105, 32440, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_496 = None 2025-06-05T23:26:40.3364226Z 2025-06-05T23:26:40.3364764Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.3365574Z aten_unsqueeze_copy_default_35: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_781, -1); quantized_decomposed_dequantize_per_tensor_default_781 = None 2025-06-05T23:26:40.3366554Z quantized_decomposed_quantize_per_tensor_default_497: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_35, 0.00036565581103786826, 25893, 0, 65535, torch.int32); aten_unsqueeze_copy_default_35 = None 2025-06-05T23:26:40.3366632Z 2025-06-05T23:26:40.3367032Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.3368206Z quantized_decomposed_dequantize_per_tensor_default_794: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_497, 0.00036565581103786826, 25893, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_497 = None 2025-06-05T23:26:40.3369040Z aten_permute_copy_default_127: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_794, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_794 = None 2025-06-05T23:26:40.3370015Z quantized_decomposed_quantize_per_tensor_default_498: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_127, 0.00036565581103786826, 25893, 0, 65535, torch.int32); aten_permute_copy_default_127 = None 2025-06-05T23:26:40.3370103Z 2025-06-05T23:26:40.3370465Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.3371646Z quantized_decomposed_dequantize_per_tensor_default_795: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_498, 0.00036565581103786826, 25893, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_498 = None 2025-06-05T23:26:40.3373133Z aten_convolution_default_23: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_795, quantized_decomposed_dequantize_per_tensor_default_31, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_795 = quantized_decomposed_dequantize_per_tensor_default_31 = None 2025-06-05T23:26:40.3374082Z quantized_decomposed_quantize_per_tensor_default_499: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_23, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_convolution_default_23 = None 2025-06-05T23:26:40.3374174Z 2025-06-05T23:26:40.3374592Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.3375874Z quantized_decomposed_dequantize_per_tensor_default_796: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_499, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_499 = None 2025-06-05T23:26:40.3376775Z aten_permute_copy_default_128: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_796, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_796 = None 2025-06-05T23:26:40.3377730Z quantized_decomposed_quantize_per_tensor_default_500: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_128, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_permute_copy_default_128 = None 2025-06-05T23:26:40.3377819Z 2025-06-05T23:26:40.3378361Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.3379536Z quantized_decomposed_dequantize_per_tensor_default_797: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_500, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_500 = None 2025-06-05T23:26:40.3380296Z aten_squeeze_copy_dims_35: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_797, [-1]); quantized_decomposed_dequantize_per_tensor_default_797 = None 2025-06-05T23:26:40.3381208Z quantized_decomposed_quantize_per_tensor_default_501: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_35, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_squeeze_copy_dims_35 = None 2025-06-05T23:26:40.3381374Z 2025-06-05T23:26:40.3381901Z # File: /pytorch/executorch/examples/models/llama/attention.py:407 in forward, code: v = v.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim) 2025-06-05T23:26:40.3383065Z quantized_decomposed_dequantize_per_tensor_default_798: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_501, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_501 = None 2025-06-05T23:26:40.3383154Z 2025-06-05T23:26:40.3383666Z # File: /pytorch/executorch/examples/models/llama/attention.py:405 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim) 2025-06-05T23:26:40.3384475Z aten_view_copy_default_54: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_788, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_788 = None 2025-06-05T23:26:40.3385400Z quantized_decomposed_quantize_per_tensor_default_502: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_54, 0.00035187334287911654, 29898, 0, 65535, torch.int32); aten_view_copy_default_54 = None 2025-06-05T23:26:40.3385475Z 2025-06-05T23:26:40.3386004Z # File: /pytorch/executorch/examples/models/llama/rope.py:84 in apply_rotary_emb, code: xq_r, xq_i = xq.float().reshape(xq.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.3387187Z quantized_decomposed_dequantize_per_tensor_default_799: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_502, 0.00035187334287911654, 29898, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_502 = None 2025-06-05T23:26:40.3387266Z 2025-06-05T23:26:40.3387787Z # File: /pytorch/executorch/examples/models/llama/attention.py:406 in forward, code: k = k.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim) 2025-06-05T23:26:40.3388600Z aten_view_copy_default_55: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_793, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_793 = None 2025-06-05T23:26:40.3389514Z quantized_decomposed_quantize_per_tensor_default_503: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_55, 0.00039280077908188105, 32440, 0, 65535, torch.int32); aten_view_copy_default_55 = None 2025-06-05T23:26:40.3389605Z 2025-06-05T23:26:40.3390126Z # File: /pytorch/executorch/examples/models/llama/rope.py:85 in apply_rotary_emb, code: xk_r, xk_i = xk.float().reshape(xk.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.3391339Z quantized_decomposed_dequantize_per_tensor_default_800: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_503, 0.00039280077908188105, 32440, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_503 = None 2025-06-05T23:26:40.3391431Z 2025-06-05T23:26:40.3391954Z # File: /pytorch/executorch/examples/models/llama/attention.py:407 in forward, code: v = v.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim) 2025-06-05T23:26:40.3392717Z aten_view_copy_default_56: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_798, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_798 = None 2025-06-05T23:26:40.3393676Z quantized_decomposed_quantize_per_tensor_default_504: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_56, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_view_copy_default_56 = None 2025-06-05T23:26:40.3393777Z 2025-06-05T23:26:40.3394453Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:511 in update, code: v_out = torch.ops.aten.index_put_(self.past_v_caches, [None, input_pos], v_val) 2025-06-05T23:26:40.3395631Z quantized_decomposed_dequantize_per_tensor_default_801: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_504, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_504 = None 2025-06-05T23:26:40.3395735Z 2025-06-05T23:26:40.3396258Z # File: /pytorch/executorch/examples/models/llama/rope.py:84 in apply_rotary_emb, code: xq_r, xq_i = xq.float().reshape(xq.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.3397049Z aten_view_copy_default_57: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_799, [1, 1, 12, -1, 2]); quantized_decomposed_dequantize_per_tensor_default_799 = None 2025-06-05T23:26:40.3397968Z quantized_decomposed_quantize_per_tensor_default_505: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_57, 0.00035187334287911654, 29898, 0, 65535, torch.int32); aten_view_copy_default_57 = None 2025-06-05T23:26:40.3399147Z quantized_decomposed_dequantize_per_tensor_default_802: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_505, 0.00035187334287911654, 29898, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_505 = None 2025-06-05T23:26:40.3399682Z aten_slice_copy_tensor_12: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_802, 4, 0, 1) 2025-06-05T23:26:40.3400468Z aten_slice_copy_tensor_13: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_802, 4, 1, 2); quantized_decomposed_dequantize_per_tensor_default_802 = None 2025-06-05T23:26:40.3400999Z aten_squeeze_copy_dims_36: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_12, [4]); aten_slice_copy_tensor_12 = None 2025-06-05T23:26:40.3401513Z aten_squeeze_copy_dims_37: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_13, [4]); aten_slice_copy_tensor_13 = None 2025-06-05T23:26:40.3402447Z quantized_decomposed_quantize_per_tensor_default_506: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_36, 0.00035187334287911654, 29898, 0, 65535, torch.int32); aten_squeeze_copy_dims_36 = None 2025-06-05T23:26:40.3402524Z 2025-06-05T23:26:40.3402998Z # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos 2025-06-05T23:26:40.3403940Z quantized_decomposed_dequantize_per_tensor_default_803: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_506, 0.00035187334287911654, 29898, 0, 65535, torch.int32) 2025-06-05T23:26:40.3404017Z 2025-06-05T23:26:40.3404491Z # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin 2025-06-05T23:26:40.3405714Z quantized_decomposed_dequantize_per_tensor_default_804: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_506, 0.00035187334287911654, 29898, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_506 = None 2025-06-05T23:26:40.3405793Z 2025-06-05T23:26:40.3406317Z # File: /pytorch/executorch/examples/models/llama/rope.py:84 in apply_rotary_emb, code: xq_r, xq_i = xq.float().reshape(xq.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.3407242Z quantized_decomposed_quantize_per_tensor_default_507: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_37, 0.00035187334287911654, 29898, 0, 65535, torch.int32); aten_squeeze_copy_dims_37 = None 2025-06-05T23:26:40.3407344Z 2025-06-05T23:26:40.3407818Z # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin 2025-06-05T23:26:40.3408754Z quantized_decomposed_dequantize_per_tensor_default_805: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_507, 0.00035187334287911654, 29898, 0, 65535, torch.int32) 2025-06-05T23:26:40.3408833Z 2025-06-05T23:26:40.3409296Z # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos 2025-06-05T23:26:40.3410468Z quantized_decomposed_dequantize_per_tensor_default_806: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_507, 0.00035187334287911654, 29898, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_507 = None 2025-06-05T23:26:40.3410552Z 2025-06-05T23:26:40.3411068Z # File: /pytorch/executorch/examples/models/llama/rope.py:85 in apply_rotary_emb, code: xk_r, xk_i = xk.float().reshape(xk.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.3411928Z aten_view_copy_default_58: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_800, [1, 1, 12, -1, 2]); quantized_decomposed_dequantize_per_tensor_default_800 = None 2025-06-05T23:26:40.3412844Z quantized_decomposed_quantize_per_tensor_default_508: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_58, 0.00039280077908188105, 32440, 0, 65535, torch.int32); aten_view_copy_default_58 = None 2025-06-05T23:26:40.3414028Z quantized_decomposed_dequantize_per_tensor_default_807: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_508, 0.00039280077908188105, 32440, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_508 = None 2025-06-05T23:26:40.3414556Z aten_slice_copy_tensor_14: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_807, 4, 0, 1) 2025-06-05T23:26:40.3415315Z aten_slice_copy_tensor_15: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_807, 4, 1, 2); quantized_decomposed_dequantize_per_tensor_default_807 = None 2025-06-05T23:26:40.3415843Z aten_squeeze_copy_dims_38: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_14, [4]); aten_slice_copy_tensor_14 = None 2025-06-05T23:26:40.3416389Z aten_squeeze_copy_dims_39: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_15, [4]); aten_slice_copy_tensor_15 = None 2025-06-05T23:26:40.3417348Z quantized_decomposed_quantize_per_tensor_default_509: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_38, 0.00039280077908188105, 32440, 0, 65535, torch.int32); aten_squeeze_copy_dims_38 = None 2025-06-05T23:26:40.3417423Z 2025-06-05T23:26:40.3417893Z # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos 2025-06-05T23:26:40.3418828Z quantized_decomposed_dequantize_per_tensor_default_808: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_509, 0.00039280077908188105, 32440, 0, 65535, torch.int32) 2025-06-05T23:26:40.3418931Z 2025-06-05T23:26:40.3419403Z # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin 2025-06-05T23:26:40.3420582Z quantized_decomposed_dequantize_per_tensor_default_809: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_509, 0.00039280077908188105, 32440, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_509 = None 2025-06-05T23:26:40.3420658Z 2025-06-05T23:26:40.3421172Z # File: /pytorch/executorch/examples/models/llama/rope.py:85 in apply_rotary_emb, code: xk_r, xk_i = xk.float().reshape(xk.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.3422092Z quantized_decomposed_quantize_per_tensor_default_510: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_39, 0.00039280077908188105, 32440, 0, 65535, torch.int32); aten_squeeze_copy_dims_39 = None 2025-06-05T23:26:40.3422171Z 2025-06-05T23:26:40.3422640Z # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin 2025-06-05T23:26:40.3423608Z quantized_decomposed_dequantize_per_tensor_default_810: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_510, 0.00039280077908188105, 32440, 0, 65535, torch.int32) 2025-06-05T23:26:40.3423684Z 2025-06-05T23:26:40.3424150Z # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos 2025-06-05T23:26:40.3425333Z quantized_decomposed_dequantize_per_tensor_default_811: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_510, 0.00039280077908188105, 32440, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_510 = None 2025-06-05T23:26:40.3425413Z 2025-06-05T23:26:40.3425849Z # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape) 2025-06-05T23:26:40.3426627Z aten_view_copy_default_59: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_159, [1, 1, 1, 32]); quantized_decomposed_dequantize_per_tensor_default_159 = None 2025-06-05T23:26:40.3427530Z quantized_decomposed_quantize_per_tensor_default_511: "i32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_59, 3.051804378628731e-05, 32768, 0, 65535, torch.int32); aten_view_copy_default_59 = None 2025-06-05T23:26:40.3427648Z 2025-06-05T23:26:40.3428143Z # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos 2025-06-05T23:26:40.3429072Z quantized_decomposed_dequantize_per_tensor_default_812: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_511, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-06-05T23:26:40.3429159Z 2025-06-05T23:26:40.3429627Z # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin 2025-06-05T23:26:40.3430552Z quantized_decomposed_dequantize_per_tensor_default_813: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_511, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-06-05T23:26:40.3430665Z 2025-06-05T23:26:40.3431207Z # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos 2025-06-05T23:26:40.3432135Z quantized_decomposed_dequantize_per_tensor_default_814: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_511, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-06-05T23:26:40.3432223Z 2025-06-05T23:26:40.3432691Z # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin 2025-06-05T23:26:40.3433850Z quantized_decomposed_dequantize_per_tensor_default_815: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_511, 3.051804378628731e-05, 32768, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_511 = None 2025-06-05T23:26:40.3433940Z 2025-06-05T23:26:40.3434375Z # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape) 2025-06-05T23:26:40.3435170Z aten_view_copy_default_60: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_171, [1, 1, 1, 32]); quantized_decomposed_dequantize_per_tensor_default_171 = None 2025-06-05T23:26:40.3436086Z quantized_decomposed_quantize_per_tensor_default_512: "i32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_60, 3.051786916330457e-05, 32767, 0, 65535, torch.int32); aten_view_copy_default_60 = None 2025-06-05T23:26:40.3436173Z 2025-06-05T23:26:40.3436659Z # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin 2025-06-05T23:26:40.3437618Z quantized_decomposed_dequantize_per_tensor_default_816: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_512, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-06-05T23:26:40.3437754Z 2025-06-05T23:26:40.3438238Z # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos 2025-06-05T23:26:40.3439219Z quantized_decomposed_dequantize_per_tensor_default_817: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_512, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-06-05T23:26:40.3439316Z 2025-06-05T23:26:40.3439853Z # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin 2025-06-05T23:26:40.3440817Z quantized_decomposed_dequantize_per_tensor_default_818: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_512, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-06-05T23:26:40.3440911Z 2025-06-05T23:26:40.3441388Z # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos 2025-06-05T23:26:40.3443030Z quantized_decomposed_dequantize_per_tensor_default_819: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_512, 3.051786916330457e-05, 32767, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_512 = None 2025-06-05T23:26:40.3443211Z 2025-06-05T23:26:40.3443855Z # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin 2025-06-05T23:26:40.3445523Z aten_mul_tensor_47: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_804, quantized_decomposed_dequantize_per_tensor_default_815); quantized_decomposed_dequantize_per_tensor_default_804 = quantized_decomposed_dequantize_per_tensor_default_815 = None 2025-06-05T23:26:40.3446622Z quantized_decomposed_quantize_per_tensor_default_513: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_47, 0.00034635368501767516, 29709, 0, 65535, torch.int32); aten_mul_tensor_47 = None 2025-06-05T23:26:40.3447810Z quantized_decomposed_dequantize_per_tensor_default_820: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_513, 0.00034635368501767516, 29709, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_513 = None 2025-06-05T23:26:40.3449056Z aten_mul_tensor_48: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_805, quantized_decomposed_dequantize_per_tensor_default_818); quantized_decomposed_dequantize_per_tensor_default_805 = quantized_decomposed_dequantize_per_tensor_default_818 = None 2025-06-05T23:26:40.3449938Z quantized_decomposed_quantize_per_tensor_default_514: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_48, 0.00016881964984349906, 32450, 0, 65535, torch.int32); aten_mul_tensor_48 = None 2025-06-05T23:26:40.3451107Z quantized_decomposed_dequantize_per_tensor_default_821: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_514, 0.00016881964984349906, 32450, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_514 = None 2025-06-05T23:26:40.3452264Z aten_sub_tensor_6: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(quantized_decomposed_dequantize_per_tensor_default_820, quantized_decomposed_dequantize_per_tensor_default_821); quantized_decomposed_dequantize_per_tensor_default_820 = quantized_decomposed_dequantize_per_tensor_default_821 = None 2025-06-05T23:26:40.3453126Z quantized_decomposed_quantize_per_tensor_default_515: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sub_tensor_6, 0.0003396201936993748, 29394, 0, 65535, torch.int32); aten_sub_tensor_6 = None 2025-06-05T23:26:40.3453221Z 2025-06-05T23:26:40.3454248Z # File: .74:2046 in forward, code: dequantize_per_tensor_default_667 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_667, 0.0003396201936993748, 29394, 0, 65535, torch.int32); quantize_per_tensor_default_667 = None 2025-06-05T23:26:40.3455420Z quantized_decomposed_dequantize_per_tensor_default_822: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_515, 0.0003396201936993748, 29394, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_515 = None 2025-06-05T23:26:40.3455516Z 2025-06-05T23:26:40.3456004Z # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos 2025-06-05T23:26:40.3457221Z aten_mul_tensor_49: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_803, quantized_decomposed_dequantize_per_tensor_default_819); quantized_decomposed_dequantize_per_tensor_default_803 = quantized_decomposed_dequantize_per_tensor_default_819 = None 2025-06-05T23:26:40.3458091Z quantized_decomposed_quantize_per_tensor_default_516: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_49, 0.0001840081822592765, 33501, 0, 65535, torch.int32); aten_mul_tensor_49 = None 2025-06-05T23:26:40.3459591Z quantized_decomposed_dequantize_per_tensor_default_823: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_516, 0.0001840081822592765, 33501, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_516 = None 2025-06-05T23:26:40.3460824Z aten_mul_tensor_50: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_806, quantized_decomposed_dequantize_per_tensor_default_814); quantized_decomposed_dequantize_per_tensor_default_806 = quantized_decomposed_dequantize_per_tensor_default_814 = None 2025-06-05T23:26:40.3462119Z quantized_decomposed_quantize_per_tensor_default_517: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_50, 0.00029949701274745166, 27196, 0, 65535, torch.int32); aten_mul_tensor_50 = None 2025-06-05T23:26:40.3463896Z quantized_decomposed_dequantize_per_tensor_default_824: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_517, 0.00029949701274745166, 27196, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_517 = None 2025-06-05T23:26:40.3465043Z aten_add_tensor_15: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_823, quantized_decomposed_dequantize_per_tensor_default_824); quantized_decomposed_dequantize_per_tensor_default_823 = quantized_decomposed_dequantize_per_tensor_default_824 = None 2025-06-05T23:26:40.3465909Z quantized_decomposed_quantize_per_tensor_default_518: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_15, 0.0003396201936993748, 29394, 0, 65535, torch.int32); aten_add_tensor_15 = None 2025-06-05T23:26:40.3466003Z 2025-06-05T23:26:40.3466956Z # File: .74:2055 in forward, code: dequantize_per_tensor_default_670 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_670, 0.0003396201936993748, 29394, 0, 65535, torch.int32); quantize_per_tensor_default_670 = None 2025-06-05T23:26:40.3468193Z quantized_decomposed_dequantize_per_tensor_default_825: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_518, 0.0003396201936993748, 29394, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_518 = None 2025-06-05T23:26:40.3468302Z 2025-06-05T23:26:40.3468793Z # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin 2025-06-05T23:26:40.3469954Z aten_mul_tensor_51: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_809, quantized_decomposed_dequantize_per_tensor_default_813); quantized_decomposed_dequantize_per_tensor_default_809 = quantized_decomposed_dequantize_per_tensor_default_813 = None 2025-06-05T23:26:40.3470945Z quantized_decomposed_quantize_per_tensor_default_519: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_51, 0.00037480672472156584, 31015, 0, 65535, torch.int32); aten_mul_tensor_51 = None 2025-06-05T23:26:40.3472524Z quantized_decomposed_dequantize_per_tensor_default_826: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_519, 0.00037480672472156584, 31015, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_519 = None 2025-06-05T23:26:40.3473909Z aten_mul_tensor_52: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_810, quantized_decomposed_dequantize_per_tensor_default_816); quantized_decomposed_dequantize_per_tensor_default_810 = quantized_decomposed_dequantize_per_tensor_default_816 = None 2025-06-05T23:26:40.3474781Z quantized_decomposed_quantize_per_tensor_default_520: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_52, 0.0001904213277157396, 33744, 0, 65535, torch.int32); aten_mul_tensor_52 = None 2025-06-05T23:26:40.3476050Z quantized_decomposed_dequantize_per_tensor_default_827: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_520, 0.0001904213277157396, 33744, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_520 = None 2025-06-05T23:26:40.3477181Z aten_sub_tensor_7: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(quantized_decomposed_dequantize_per_tensor_default_826, quantized_decomposed_dequantize_per_tensor_default_827); quantized_decomposed_dequantize_per_tensor_default_826 = quantized_decomposed_dequantize_per_tensor_default_827 = None 2025-06-05T23:26:40.3478057Z quantized_decomposed_quantize_per_tensor_default_521: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sub_tensor_7, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_sub_tensor_7 = None 2025-06-05T23:26:40.3478138Z 2025-06-05T23:26:40.3479085Z # File: .74:2064 in forward, code: dequantize_per_tensor_default_673 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_673, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantize_per_tensor_default_673 = None 2025-06-05T23:26:40.3480255Z quantized_decomposed_dequantize_per_tensor_default_828: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_521, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_521 = None 2025-06-05T23:26:40.3480332Z 2025-06-05T23:26:40.3480874Z # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos 2025-06-05T23:26:40.3482072Z aten_mul_tensor_53: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_808, quantized_decomposed_dequantize_per_tensor_default_817); quantized_decomposed_dequantize_per_tensor_default_808 = quantized_decomposed_dequantize_per_tensor_default_817 = None 2025-06-05T23:26:40.3483299Z quantized_decomposed_quantize_per_tensor_default_522: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_53, 0.00017462005780544132, 35580, 0, 65535, torch.int32); aten_mul_tensor_53 = None 2025-06-05T23:26:40.3485238Z quantized_decomposed_dequantize_per_tensor_default_829: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_522, 0.00017462005780544132, 35580, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_522 = None 2025-06-05T23:26:40.3487220Z aten_mul_tensor_54: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_811, quantized_decomposed_dequantize_per_tensor_default_812); quantized_decomposed_dequantize_per_tensor_default_811 = quantized_decomposed_dequantize_per_tensor_default_812 = None 2025-06-05T23:26:40.3488166Z quantized_decomposed_quantize_per_tensor_default_523: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_54, 0.00036741403164342046, 33632, 0, 65535, torch.int32); aten_mul_tensor_54 = None 2025-06-05T23:26:40.3489332Z quantized_decomposed_dequantize_per_tensor_default_830: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_523, 0.00036741403164342046, 33632, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_523 = None 2025-06-05T23:26:40.3490525Z aten_add_tensor_16: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_829, quantized_decomposed_dequantize_per_tensor_default_830); quantized_decomposed_dequantize_per_tensor_default_829 = quantized_decomposed_dequantize_per_tensor_default_830 = None 2025-06-05T23:26:40.3491408Z quantized_decomposed_quantize_per_tensor_default_524: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_16, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_add_tensor_16 = None 2025-06-05T23:26:40.3491487Z 2025-06-05T23:26:40.3492437Z # File: .74:2073 in forward, code: dequantize_per_tensor_default_676 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_676, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantize_per_tensor_default_676 = None 2025-06-05T23:26:40.3493611Z quantized_decomposed_dequantize_per_tensor_default_831: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_524, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_524 = None 2025-06-05T23:26:40.3493689Z 2025-06-05T23:26:40.3494234Z # File: /pytorch/executorch/examples/models/llama/rope.py:95 in apply_rotary_emb, code: xq_out = torch.stack([xq_out_r, xq_out_i], dim=-1).flatten(3) 2025-06-05T23:26:40.3495041Z aten_unsqueeze_copy_default_36: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_822, 4); quantized_decomposed_dequantize_per_tensor_default_822 = None 2025-06-05T23:26:40.3495918Z aten_unsqueeze_copy_default_37: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_825, 4); quantized_decomposed_dequantize_per_tensor_default_825 = None 2025-06-05T23:26:40.3496676Z aten_cat_default_12: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_unsqueeze_copy_default_36, aten_unsqueeze_copy_default_37], -1); aten_unsqueeze_copy_default_36 = aten_unsqueeze_copy_default_37 = None 2025-06-05T23:26:40.3497544Z quantized_decomposed_quantize_per_tensor_default_525: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_12, 0.0003396201936993748, 29394, 0, 65535, torch.int32); aten_cat_default_12 = None 2025-06-05T23:26:40.3499472Z quantized_decomposed_dequantize_per_tensor_default_832: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_525, 0.0003396201936993748, 29394, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_525 = None 2025-06-05T23:26:40.3500727Z aten_view_copy_default_61: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_832, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_832 = None 2025-06-05T23:26:40.3501650Z quantized_decomposed_quantize_per_tensor_default_526: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_61, 0.0003396201936993748, 29394, 0, 65535, torch.int32); aten_view_copy_default_61 = None 2025-06-05T23:26:40.3501742Z 2025-06-05T23:26:40.3502688Z # File: .74:2079 in forward, code: dequantize_per_tensor_default_678 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_678, 0.0003396201936993748, 29394, 0, 65535, torch.int32); quantize_per_tensor_default_678 = None 2025-06-05T23:26:40.3503914Z quantized_decomposed_dequantize_per_tensor_default_833: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_526, 0.0003396201936993748, 29394, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_526 = None 2025-06-05T23:26:40.3503993Z 2025-06-05T23:26:40.3504527Z # File: /pytorch/executorch/examples/models/llama/rope.py:96 in apply_rotary_emb, code: xk_out = torch.stack([xk_out_r, xk_out_i], dim=-1).flatten(3) 2025-06-05T23:26:40.3505344Z aten_unsqueeze_copy_default_38: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_828, 4); quantized_decomposed_dequantize_per_tensor_default_828 = None 2025-06-05T23:26:40.3506152Z aten_unsqueeze_copy_default_39: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_831, 4); quantized_decomposed_dequantize_per_tensor_default_831 = None 2025-06-05T23:26:40.3506904Z aten_cat_default_13: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_unsqueeze_copy_default_38, aten_unsqueeze_copy_default_39], -1); aten_unsqueeze_copy_default_38 = aten_unsqueeze_copy_default_39 = None 2025-06-05T23:26:40.3507787Z quantized_decomposed_quantize_per_tensor_default_527: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_13, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_cat_default_13 = None 2025-06-05T23:26:40.3508971Z quantized_decomposed_dequantize_per_tensor_default_834: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_527, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_527 = None 2025-06-05T23:26:40.3509792Z aten_view_copy_default_62: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_834, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_834 = None 2025-06-05T23:26:40.3510703Z quantized_decomposed_quantize_per_tensor_default_528: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_62, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_view_copy_default_62 = None 2025-06-05T23:26:40.3510900Z 2025-06-05T23:26:40.3511873Z # File: .74:2085 in forward, code: dequantize_per_tensor_default_680 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_680, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantize_per_tensor_default_680 = None 2025-06-05T23:26:40.3513042Z quantized_decomposed_dequantize_per_tensor_default_835: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_528, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_528 = None 2025-06-05T23:26:40.3513120Z 2025-06-05T23:26:40.3513892Z # File: .74:2087 in forward, code: quantize_per_tensor_default_681 = torch.ops.quantized_decomposed.quantize_per_tensor.default(type_as_6, 0.0003396201936993748, 29394, 0, 65535, torch.int32); type_as_6 = None 2025-06-05T23:26:40.3515048Z quantized_decomposed_quantize_per_tensor_default_529: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_833, 0.0003396201936993748, 29394, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_833 = None 2025-06-05T23:26:40.3515140Z 2025-06-05T23:26:40.3515672Z # File: /pytorch/executorch/examples/models/llama/attention.py:416 in forward, code: q = q.transpose(1, 2) # (bs, n_local_heads, seqlen, head_dim) 2025-06-05T23:26:40.3516868Z quantized_decomposed_dequantize_per_tensor_default_836: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_529, 0.0003396201936993748, 29394, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_529 = None 2025-06-05T23:26:40.3516960Z 2025-06-05T23:26:40.3517727Z # File: .74:2090 in forward, code: quantize_per_tensor_default_682 = torch.ops.quantized_decomposed.quantize_per_tensor.default(type_as_7, 0.0003910682280547917, 31907, 0, 65535, torch.int32); type_as_7 = None 2025-06-05T23:26:40.3518875Z quantized_decomposed_quantize_per_tensor_default_530: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_835, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_835 = None 2025-06-05T23:26:40.3518965Z 2025-06-05T23:26:40.3519647Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:510 in update, code: k_out = torch.ops.aten.index_put_(self.past_k_caches, [None, input_pos], k_val) 2025-06-05T23:26:40.3520827Z quantized_decomposed_dequantize_per_tensor_default_837: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_530, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_530 = None 2025-06-05T23:26:40.3520945Z 2025-06-05T23:26:40.3521471Z # File: /pytorch/executorch/examples/models/llama/attention.py:416 in forward, code: q = q.transpose(1, 2) # (bs, n_local_heads, seqlen, head_dim) 2025-06-05T23:26:40.3522287Z aten_permute_copy_default_129: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_836, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_836 = None 2025-06-05T23:26:40.3523238Z quantized_decomposed_quantize_per_tensor_default_531: "i32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_129, 0.0003396201936993748, 29394, 0, 65535, torch.int32); aten_permute_copy_default_129 = None 2025-06-05T23:26:40.3523344Z 2025-06-05T23:26:40.3523943Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:324 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-06-05T23:26:40.3525098Z quantized_decomposed_dequantize_per_tensor_default_838: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_531, 0.0003396201936993748, 29394, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_531 = None 2025-06-05T23:26:40.3525175Z 2025-06-05T23:26:40.3525623Z # File: /pytorch/executorch/examples/models/llama/attention.py:435 in forward, code: attn_mask = self.mask[input_pos] 2025-06-05T23:26:40.3526428Z aten_index_tensor_5: "f32[1, 128]" = executorch_exir_dialects_edge__ops_aten_index_Tensor(quantized_decomposed_dequantize_per_tensor_default_122, [attn_options_input_pos]); quantized_decomposed_dequantize_per_tensor_default_122 = None 2025-06-05T23:26:40.3527307Z quantized_decomposed_quantize_per_tensor_default_532: "i32[1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_tensor_5, 0.0038910505827516317, 65535, 0, 65535, torch.int32); aten_index_tensor_5 = None 2025-06-05T23:26:40.3527404Z 2025-06-05T23:26:40.3527925Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:325 in forward, code: attn_weight += attn_mask 2025-06-05T23:26:40.3529085Z quantized_decomposed_dequantize_per_tensor_default_839: "f32[1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_532, 0.0038910505827516317, 65535, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_532 = None 2025-06-05T23:26:40.3529178Z 2025-06-05T23:26:40.3529857Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:510 in update, code: k_out = torch.ops.aten.index_put_(self.past_k_caches, [None, input_pos], k_val) 2025-06-05T23:26:40.3531172Z aten_index_put_default_6: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(quantized_decomposed_dequantize_per_tensor_default_123, [None, attn_options_input_pos], quantized_decomposed_dequantize_per_tensor_default_837); quantized_decomposed_dequantize_per_tensor_default_123 = quantized_decomposed_dequantize_per_tensor_default_837 = None 2025-06-05T23:26:40.3532085Z quantized_decomposed_quantize_per_tensor_default_533: "i32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_put_default_6, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_index_put_default_6 = None 2025-06-05T23:26:40.3532165Z 2025-06-05T23:26:40.3533006Z # File: .74:2100 in forward, code: dequantize_per_tensor_default_685 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_685, 0.0003910682280547917, 31907, 0, 65535, torch.int32) 2025-06-05T23:26:40.3533989Z quantized_decomposed_dequantize_per_tensor_default_840: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_533, 0.0003910682280547917, 31907, 0, 65535, torch.int32) 2025-06-05T23:26:40.3534066Z 2025-06-05T23:26:40.3534724Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.3535652Z quantized_decomposed_dequantize_per_tensor_default_841: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_533, 0.0003910682280547917, 31907, 0, 65535, torch.int32) 2025-06-05T23:26:40.3536633Z quantized_decomposed_dequantize_per_tensor_default_842: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_533, 0.0003910682280547917, 31907, 0, 65535, torch.int32) 2025-06-05T23:26:40.3537564Z quantized_decomposed_dequantize_per_tensor_default_843: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_533, 0.0003910682280547917, 31907, 0, 65535, torch.int32) 2025-06-05T23:26:40.3538499Z quantized_decomposed_dequantize_per_tensor_default_844: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_533, 0.0003910682280547917, 31907, 0, 65535, torch.int32) 2025-06-05T23:26:40.3539453Z quantized_decomposed_dequantize_per_tensor_default_845: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_533, 0.0003910682280547917, 31907, 0, 65535, torch.int32) 2025-06-05T23:26:40.3540410Z quantized_decomposed_dequantize_per_tensor_default_846: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_533, 0.0003910682280547917, 31907, 0, 65535, torch.int32) 2025-06-05T23:26:40.3541340Z quantized_decomposed_dequantize_per_tensor_default_847: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_533, 0.0003910682280547917, 31907, 0, 65535, torch.int32) 2025-06-05T23:26:40.3542269Z quantized_decomposed_dequantize_per_tensor_default_848: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_533, 0.0003910682280547917, 31907, 0, 65535, torch.int32) 2025-06-05T23:26:40.3543191Z quantized_decomposed_dequantize_per_tensor_default_849: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_533, 0.0003910682280547917, 31907, 0, 65535, torch.int32) 2025-06-05T23:26:40.3544131Z quantized_decomposed_dequantize_per_tensor_default_850: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_533, 0.0003910682280547917, 31907, 0, 65535, torch.int32) 2025-06-05T23:26:40.3545301Z quantized_decomposed_dequantize_per_tensor_default_851: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_533, 0.0003910682280547917, 31907, 0, 65535, torch.int32) 2025-06-05T23:26:40.3547130Z quantized_decomposed_dequantize_per_tensor_default_852: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_533, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_533 = None 2025-06-05T23:26:40.3547275Z 2025-06-05T23:26:40.3548443Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:511 in update, code: v_out = torch.ops.aten.index_put_(self.past_v_caches, [None, input_pos], v_val) 2025-06-05T23:26:40.3551073Z aten_index_put_default_7: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(quantized_decomposed_dequantize_per_tensor_default_124, [None, attn_options_input_pos], quantized_decomposed_dequantize_per_tensor_default_801); quantized_decomposed_dequantize_per_tensor_default_124 = quantized_decomposed_dequantize_per_tensor_default_801 = None 2025-06-05T23:26:40.3552308Z quantized_decomposed_quantize_per_tensor_default_534: "i32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_put_default_7, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_index_put_default_7 = None 2025-06-05T23:26:40.3552391Z 2025-06-05T23:26:40.3553206Z # File: .74:2115 in forward, code: dequantize_per_tensor_default_686 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_686, 0.00011123115109512582, 26424, 0, 65535, torch.int32) 2025-06-05T23:26:40.3554140Z quantized_decomposed_dequantize_per_tensor_default_853: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_534, 0.00011123115109512582, 26424, 0, 65535, torch.int32) 2025-06-05T23:26:40.3554238Z 2025-06-05T23:26:40.3554889Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.3555869Z quantized_decomposed_dequantize_per_tensor_default_854: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_534, 0.00011123115109512582, 26424, 0, 65535, torch.int32) 2025-06-05T23:26:40.3556819Z quantized_decomposed_dequantize_per_tensor_default_855: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_534, 0.00011123115109512582, 26424, 0, 65535, torch.int32) 2025-06-05T23:26:40.3557899Z quantized_decomposed_dequantize_per_tensor_default_856: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_534, 0.00011123115109512582, 26424, 0, 65535, torch.int32) 2025-06-05T23:26:40.3559423Z quantized_decomposed_dequantize_per_tensor_default_857: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_534, 0.00011123115109512582, 26424, 0, 65535, torch.int32) 2025-06-05T23:26:40.3561153Z quantized_decomposed_dequantize_per_tensor_default_858: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_534, 0.00011123115109512582, 26424, 0, 65535, torch.int32) 2025-06-05T23:26:40.3562684Z quantized_decomposed_dequantize_per_tensor_default_859: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_534, 0.00011123115109512582, 26424, 0, 65535, torch.int32) 2025-06-05T23:26:40.3564065Z quantized_decomposed_dequantize_per_tensor_default_860: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_534, 0.00011123115109512582, 26424, 0, 65535, torch.int32) 2025-06-05T23:26:40.3565592Z quantized_decomposed_dequantize_per_tensor_default_861: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_534, 0.00011123115109512582, 26424, 0, 65535, torch.int32) 2025-06-05T23:26:40.3567169Z quantized_decomposed_dequantize_per_tensor_default_862: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_534, 0.00011123115109512582, 26424, 0, 65535, torch.int32) 2025-06-05T23:26:40.3568916Z quantized_decomposed_dequantize_per_tensor_default_863: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_534, 0.00011123115109512582, 26424, 0, 65535, torch.int32) 2025-06-05T23:26:40.3570688Z quantized_decomposed_dequantize_per_tensor_default_864: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_534, 0.00011123115109512582, 26424, 0, 65535, torch.int32) 2025-06-05T23:26:40.3573031Z quantized_decomposed_dequantize_per_tensor_default_865: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_534, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_534 = None 2025-06-05T23:26:40.3573189Z 2025-06-05T23:26:40.3574406Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.3576055Z aten_permute_copy_default_130: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_852, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_852 = None 2025-06-05T23:26:40.3577899Z quantized_decomposed_quantize_per_tensor_default_535: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_130, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_permute_copy_default_130 = None 2025-06-05T23:26:40.3580196Z quantized_decomposed_dequantize_per_tensor_default_866: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_535, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_535 = None 2025-06-05T23:26:40.3581670Z aten_select_copy_int_144: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_866, 0, 0); quantized_decomposed_dequantize_per_tensor_default_866 = None 2025-06-05T23:26:40.3583389Z quantized_decomposed_quantize_per_tensor_default_536: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_144, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_select_copy_int_144 = None 2025-06-05T23:26:40.3585758Z quantized_decomposed_dequantize_per_tensor_default_867: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_536, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_536 = None 2025-06-05T23:26:40.3587278Z aten_select_copy_int_145: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_867, 0, 0); quantized_decomposed_dequantize_per_tensor_default_867 = None 2025-06-05T23:26:40.3588992Z quantized_decomposed_quantize_per_tensor_default_537: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_145, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_select_copy_int_145 = None 2025-06-05T23:26:40.3589135Z 2025-06-05T23:26:40.3590999Z # File: .74:2136 in forward, code: dequantize_per_tensor_default_689 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_689, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantize_per_tensor_default_689 = None 2025-06-05T23:26:40.3593331Z quantized_decomposed_dequantize_per_tensor_default_868: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_537, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_537 = None 2025-06-05T23:26:40.3593479Z 2025-06-05T23:26:40.3594697Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.3596191Z aten_permute_copy_default_131: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_851, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_851 = None 2025-06-05T23:26:40.3598037Z quantized_decomposed_quantize_per_tensor_default_538: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_131, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_permute_copy_default_131 = None 2025-06-05T23:26:40.3600390Z quantized_decomposed_dequantize_per_tensor_default_869: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_538, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_538 = None 2025-06-05T23:26:40.3601834Z aten_select_copy_int_146: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_869, 0, 0); quantized_decomposed_dequantize_per_tensor_default_869 = None 2025-06-05T23:26:40.3603580Z quantized_decomposed_quantize_per_tensor_default_539: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_146, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_select_copy_int_146 = None 2025-06-05T23:26:40.3605854Z quantized_decomposed_dequantize_per_tensor_default_870: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_539, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_539 = None 2025-06-05T23:26:40.3607292Z aten_select_copy_int_147: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_870, 0, 1); quantized_decomposed_dequantize_per_tensor_default_870 = None 2025-06-05T23:26:40.3609158Z quantized_decomposed_quantize_per_tensor_default_540: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_147, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_select_copy_int_147 = None 2025-06-05T23:26:40.3609340Z 2025-06-05T23:26:40.3611182Z # File: .74:2145 in forward, code: dequantize_per_tensor_default_692 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_692, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantize_per_tensor_default_692 = None 2025-06-05T23:26:40.3613440Z quantized_decomposed_dequantize_per_tensor_default_871: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_540, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_540 = None 2025-06-05T23:26:40.3613648Z 2025-06-05T23:26:40.3614923Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.3616455Z aten_permute_copy_default_132: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_850, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_850 = None 2025-06-05T23:26:40.3618275Z quantized_decomposed_quantize_per_tensor_default_541: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_132, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_permute_copy_default_132 = None 2025-06-05T23:26:40.3620566Z quantized_decomposed_dequantize_per_tensor_default_872: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_541, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_541 = None 2025-06-05T23:26:40.3621979Z aten_select_copy_int_148: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_872, 0, 0); quantized_decomposed_dequantize_per_tensor_default_872 = None 2025-06-05T23:26:40.3623820Z quantized_decomposed_quantize_per_tensor_default_542: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_148, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_select_copy_int_148 = None 2025-06-05T23:26:40.3626054Z quantized_decomposed_dequantize_per_tensor_default_873: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_542, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_542 = None 2025-06-05T23:26:40.3627550Z aten_select_copy_int_149: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_873, 0, 2); quantized_decomposed_dequantize_per_tensor_default_873 = None 2025-06-05T23:26:40.3629290Z quantized_decomposed_quantize_per_tensor_default_543: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_149, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_select_copy_int_149 = None 2025-06-05T23:26:40.3629428Z 2025-06-05T23:26:40.3631327Z # File: .74:2154 in forward, code: dequantize_per_tensor_default_695 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_695, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantize_per_tensor_default_695 = None 2025-06-05T23:26:40.3633669Z quantized_decomposed_dequantize_per_tensor_default_874: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_543, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_543 = None 2025-06-05T23:26:40.3633855Z 2025-06-05T23:26:40.3635077Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.3636621Z aten_permute_copy_default_133: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_849, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_849 = None 2025-06-05T23:26:40.3638494Z quantized_decomposed_quantize_per_tensor_default_544: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_133, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_permute_copy_default_133 = None 2025-06-05T23:26:40.3640750Z quantized_decomposed_dequantize_per_tensor_default_875: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_544, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_544 = None 2025-06-05T23:26:40.3642204Z aten_select_copy_int_150: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_875, 0, 0); quantized_decomposed_dequantize_per_tensor_default_875 = None 2025-06-05T23:26:40.3643985Z quantized_decomposed_quantize_per_tensor_default_545: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_150, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_select_copy_int_150 = None 2025-06-05T23:26:40.3646263Z quantized_decomposed_dequantize_per_tensor_default_876: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_545, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_545 = None 2025-06-05T23:26:40.3647795Z aten_select_copy_int_151: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_876, 0, 3); quantized_decomposed_dequantize_per_tensor_default_876 = None 2025-06-05T23:26:40.3649520Z quantized_decomposed_quantize_per_tensor_default_546: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_151, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_select_copy_int_151 = None 2025-06-05T23:26:40.3649676Z 2025-06-05T23:26:40.3651463Z # File: .74:2163 in forward, code: dequantize_per_tensor_default_698 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_698, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantize_per_tensor_default_698 = None 2025-06-05T23:26:40.3653734Z quantized_decomposed_dequantize_per_tensor_default_877: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_546, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_546 = None 2025-06-05T23:26:40.3653873Z 2025-06-05T23:26:40.3655121Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.3656799Z aten_permute_copy_default_134: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_848, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_848 = None 2025-06-05T23:26:40.3658653Z quantized_decomposed_quantize_per_tensor_default_547: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_134, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_permute_copy_default_134 = None 2025-06-05T23:26:40.3660892Z quantized_decomposed_dequantize_per_tensor_default_878: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_547, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_547 = None 2025-06-05T23:26:40.3662398Z aten_select_copy_int_152: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_878, 0, 0); quantized_decomposed_dequantize_per_tensor_default_878 = None 2025-06-05T23:26:40.3664175Z quantized_decomposed_quantize_per_tensor_default_548: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_152, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_select_copy_int_152 = None 2025-06-05T23:26:40.3666400Z quantized_decomposed_dequantize_per_tensor_default_879: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_548, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_548 = None 2025-06-05T23:26:40.3667873Z aten_select_copy_int_153: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_879, 0, 4); quantized_decomposed_dequantize_per_tensor_default_879 = None 2025-06-05T23:26:40.3669609Z quantized_decomposed_quantize_per_tensor_default_549: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_153, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_select_copy_int_153 = None 2025-06-05T23:26:40.3669845Z 2025-06-05T23:26:40.3671762Z # File: .74:2172 in forward, code: dequantize_per_tensor_default_701 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_701, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantize_per_tensor_default_701 = None 2025-06-05T23:26:40.3674223Z quantized_decomposed_dequantize_per_tensor_default_880: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_549, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_549 = None 2025-06-05T23:26:40.3674391Z 2025-06-05T23:26:40.3675598Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.3677151Z aten_permute_copy_default_135: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_847, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_847 = None 2025-06-05T23:26:40.3679012Z quantized_decomposed_quantize_per_tensor_default_550: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_135, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_permute_copy_default_135 = None 2025-06-05T23:26:40.3681511Z quantized_decomposed_dequantize_per_tensor_default_881: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_550, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_550 = None 2025-06-05T23:26:40.3682981Z aten_select_copy_int_154: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_881, 0, 0); quantized_decomposed_dequantize_per_tensor_default_881 = None 2025-06-05T23:26:40.3684739Z quantized_decomposed_quantize_per_tensor_default_551: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_154, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_select_copy_int_154 = None 2025-06-05T23:26:40.3687118Z quantized_decomposed_dequantize_per_tensor_default_882: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_551, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_551 = None 2025-06-05T23:26:40.3688528Z aten_select_copy_int_155: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_882, 0, 5); quantized_decomposed_dequantize_per_tensor_default_882 = None 2025-06-05T23:26:40.3690258Z quantized_decomposed_quantize_per_tensor_default_552: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_155, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_select_copy_int_155 = None 2025-06-05T23:26:40.3690405Z 2025-06-05T23:26:40.3692220Z # File: .74:2181 in forward, code: dequantize_per_tensor_default_704 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_704, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantize_per_tensor_default_704 = None 2025-06-05T23:26:40.3694600Z quantized_decomposed_dequantize_per_tensor_default_883: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_552, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_552 = None 2025-06-05T23:26:40.3694757Z 2025-06-05T23:26:40.3695955Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.3697524Z aten_permute_copy_default_136: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_846, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_846 = None 2025-06-05T23:26:40.3699363Z quantized_decomposed_quantize_per_tensor_default_553: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_136, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_permute_copy_default_136 = None 2025-06-05T23:26:40.3701601Z quantized_decomposed_dequantize_per_tensor_default_884: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_553, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_553 = None 2025-06-05T23:26:40.3703148Z aten_select_copy_int_156: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_884, 0, 0); quantized_decomposed_dequantize_per_tensor_default_884 = None 2025-06-05T23:26:40.3704950Z quantized_decomposed_quantize_per_tensor_default_554: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_156, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_select_copy_int_156 = None 2025-06-05T23:26:40.3707223Z quantized_decomposed_dequantize_per_tensor_default_885: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_554, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_554 = None 2025-06-05T23:26:40.3708654Z aten_select_copy_int_157: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_885, 0, 6); quantized_decomposed_dequantize_per_tensor_default_885 = None 2025-06-05T23:26:40.3710467Z quantized_decomposed_quantize_per_tensor_default_555: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_157, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_select_copy_int_157 = None 2025-06-05T23:26:40.3710628Z 2025-06-05T23:26:40.3712504Z # File: .74:2190 in forward, code: dequantize_per_tensor_default_707 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_707, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantize_per_tensor_default_707 = None 2025-06-05T23:26:40.3714754Z quantized_decomposed_dequantize_per_tensor_default_886: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_555, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_555 = None 2025-06-05T23:26:40.3714928Z 2025-06-05T23:26:40.3716157Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.3717768Z aten_permute_copy_default_137: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_845, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_845 = None 2025-06-05T23:26:40.3719631Z quantized_decomposed_quantize_per_tensor_default_556: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_137, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_permute_copy_default_137 = None 2025-06-05T23:26:40.3721887Z quantized_decomposed_dequantize_per_tensor_default_887: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_556, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_556 = None 2025-06-05T23:26:40.3723379Z aten_select_copy_int_158: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_887, 0, 0); quantized_decomposed_dequantize_per_tensor_default_887 = None 2025-06-05T23:26:40.3725123Z quantized_decomposed_quantize_per_tensor_default_557: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_158, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_select_copy_int_158 = None 2025-06-05T23:26:40.3727474Z quantized_decomposed_dequantize_per_tensor_default_888: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_557, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_557 = None 2025-06-05T23:26:40.3728945Z aten_select_copy_int_159: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_888, 0, 7); quantized_decomposed_dequantize_per_tensor_default_888 = None 2025-06-05T23:26:40.3730702Z quantized_decomposed_quantize_per_tensor_default_558: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_159, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_select_copy_int_159 = None 2025-06-05T23:26:40.3730873Z 2025-06-05T23:26:40.3732651Z # File: .74:2199 in forward, code: dequantize_per_tensor_default_710 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_710, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantize_per_tensor_default_710 = None 2025-06-05T23:26:40.3734968Z quantized_decomposed_dequantize_per_tensor_default_889: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_558, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_558 = None 2025-06-05T23:26:40.3735128Z 2025-06-05T23:26:40.3736362Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.3737954Z aten_permute_copy_default_138: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_844, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_844 = None 2025-06-05T23:26:40.3739820Z quantized_decomposed_quantize_per_tensor_default_559: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_138, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_permute_copy_default_138 = None 2025-06-05T23:26:40.3742144Z quantized_decomposed_dequantize_per_tensor_default_890: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_559, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_559 = None 2025-06-05T23:26:40.3743579Z aten_select_copy_int_160: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_890, 0, 0); quantized_decomposed_dequantize_per_tensor_default_890 = None 2025-06-05T23:26:40.3745340Z quantized_decomposed_quantize_per_tensor_default_560: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_160, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_select_copy_int_160 = None 2025-06-05T23:26:40.3747634Z quantized_decomposed_dequantize_per_tensor_default_891: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_560, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_560 = None 2025-06-05T23:26:40.3749051Z aten_select_copy_int_161: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_891, 0, 8); quantized_decomposed_dequantize_per_tensor_default_891 = None 2025-06-05T23:26:40.3751005Z quantized_decomposed_quantize_per_tensor_default_561: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_161, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_select_copy_int_161 = None 2025-06-05T23:26:40.3751205Z 2025-06-05T23:26:40.3752959Z # File: .74:2208 in forward, code: dequantize_per_tensor_default_713 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_713, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantize_per_tensor_default_713 = None 2025-06-05T23:26:40.3755215Z quantized_decomposed_dequantize_per_tensor_default_892: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_561, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_561 = None 2025-06-05T23:26:40.3755433Z 2025-06-05T23:26:40.3756684Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.3758250Z aten_permute_copy_default_139: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_843, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_843 = None 2025-06-05T23:26:40.3760104Z quantized_decomposed_quantize_per_tensor_default_562: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_139, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_permute_copy_default_139 = None 2025-06-05T23:26:40.3762391Z quantized_decomposed_dequantize_per_tensor_default_893: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_562, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_562 = None 2025-06-05T23:26:40.3763847Z aten_select_copy_int_162: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_893, 0, 0); quantized_decomposed_dequantize_per_tensor_default_893 = None 2025-06-05T23:26:40.3765655Z quantized_decomposed_quantize_per_tensor_default_563: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_162, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_select_copy_int_162 = None 2025-06-05T23:26:40.3767953Z quantized_decomposed_dequantize_per_tensor_default_894: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_563, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_563 = None 2025-06-05T23:26:40.3769390Z aten_select_copy_int_163: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_894, 0, 9); quantized_decomposed_dequantize_per_tensor_default_894 = None 2025-06-05T23:26:40.3771134Z quantized_decomposed_quantize_per_tensor_default_564: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_163, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_select_copy_int_163 = None 2025-06-05T23:26:40.3771302Z 2025-06-05T23:26:40.3773319Z # File: .74:2217 in forward, code: dequantize_per_tensor_default_716 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_716, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantize_per_tensor_default_716 = None 2025-06-05T23:26:40.3775717Z quantized_decomposed_dequantize_per_tensor_default_895: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_564, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_564 = None 2025-06-05T23:26:40.3775924Z 2025-06-05T23:26:40.3777138Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.3778703Z aten_permute_copy_default_140: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_842, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_842 = None 2025-06-05T23:26:40.3780607Z quantized_decomposed_quantize_per_tensor_default_565: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_140, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_permute_copy_default_140 = None 2025-06-05T23:26:40.3782867Z quantized_decomposed_dequantize_per_tensor_default_896: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_565, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_565 = None 2025-06-05T23:26:40.3784318Z aten_select_copy_int_164: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_896, 0, 0); quantized_decomposed_dequantize_per_tensor_default_896 = None 2025-06-05T23:26:40.3786086Z quantized_decomposed_quantize_per_tensor_default_566: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_164, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_select_copy_int_164 = None 2025-06-05T23:26:40.3788373Z quantized_decomposed_dequantize_per_tensor_default_897: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_566, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_566 = None 2025-06-05T23:26:40.3789899Z aten_select_copy_int_165: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_897, 0, 10); quantized_decomposed_dequantize_per_tensor_default_897 = None 2025-06-05T23:26:40.3791745Z quantized_decomposed_quantize_per_tensor_default_567: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_165, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_select_copy_int_165 = None 2025-06-05T23:26:40.3791888Z 2025-06-05T23:26:40.3793696Z # File: .74:2226 in forward, code: dequantize_per_tensor_default_719 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_719, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantize_per_tensor_default_719 = None 2025-06-05T23:26:40.3795961Z quantized_decomposed_dequantize_per_tensor_default_898: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_567, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_567 = None 2025-06-05T23:26:40.3796094Z 2025-06-05T23:26:40.3797322Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.3799024Z aten_permute_copy_default_141: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_841, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_841 = None 2025-06-05T23:26:40.3800843Z quantized_decomposed_quantize_per_tensor_default_568: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_141, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_permute_copy_default_141 = None 2025-06-05T23:26:40.3803137Z quantized_decomposed_dequantize_per_tensor_default_899: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_568, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_568 = None 2025-06-05T23:26:40.3804639Z aten_select_copy_int_166: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_899, 0, 0); quantized_decomposed_dequantize_per_tensor_default_899 = None 2025-06-05T23:26:40.3806422Z quantized_decomposed_quantize_per_tensor_default_569: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_166, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_select_copy_int_166 = None 2025-06-05T23:26:40.3808691Z quantized_decomposed_dequantize_per_tensor_default_900: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_569, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_569 = None 2025-06-05T23:26:40.3810168Z aten_select_copy_int_167: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_900, 0, 11); quantized_decomposed_dequantize_per_tensor_default_900 = None 2025-06-05T23:26:40.3811915Z quantized_decomposed_quantize_per_tensor_default_570: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_167, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_select_copy_int_167 = None 2025-06-05T23:26:40.3812061Z 2025-06-05T23:26:40.3813925Z # File: .74:2235 in forward, code: dequantize_per_tensor_default_722 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_722, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantize_per_tensor_default_722 = None 2025-06-05T23:26:40.3816178Z quantized_decomposed_dequantize_per_tensor_default_901: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_570, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_570 = None 2025-06-05T23:26:40.3816321Z 2025-06-05T23:26:40.3817542Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.3828586Z aten_cat_default_14: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([quantized_decomposed_dequantize_per_tensor_default_868, quantized_decomposed_dequantize_per_tensor_default_871, quantized_decomposed_dequantize_per_tensor_default_874, quantized_decomposed_dequantize_per_tensor_default_877, quantized_decomposed_dequantize_per_tensor_default_880, quantized_decomposed_dequantize_per_tensor_default_883, quantized_decomposed_dequantize_per_tensor_default_886, quantized_decomposed_dequantize_per_tensor_default_889, quantized_decomposed_dequantize_per_tensor_default_892, quantized_decomposed_dequantize_per_tensor_default_895, quantized_decomposed_dequantize_per_tensor_default_898, quantized_decomposed_dequantize_per_tensor_default_901]); quantized_decomposed_dequantize_per_tensor_default_868 = quantized_decomposed_dequantize_per_tensor_default_871 = quantized_decomposed_dequantize_per_tensor_default_874 = quantized_decomposed_dequantize_per_tensor_default_877 = quantized_decomposed_dequantize_per_tensor_default_880 = quantized_decomposed_dequantize_per_tensor_default_883 = quantized_decomposed_dequantize_per_tensor_default_886 = quantized_decomposed_dequantize_per_tensor_default_889 = quantized_decomposed_dequantize_per_tensor_default_892 = quantized_decomposed_dequantize_per_tensor_default_895 = quantized_decomposed_dequantize_per_tensor_default_898 = quantized_decomposed_dequantize_per_tensor_default_901 = None 2025-06-05T23:26:40.3830411Z quantized_decomposed_quantize_per_tensor_default_571: "i32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_14, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_cat_default_14 = None 2025-06-05T23:26:40.3832736Z quantized_decomposed_dequantize_per_tensor_default_902: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_571, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_571 = None 2025-06-05T23:26:40.3834280Z aten_view_copy_default_63: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_902, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_902 = None 2025-06-05T23:26:40.3836040Z quantized_decomposed_quantize_per_tensor_default_572: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_63, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_view_copy_default_63 = None 2025-06-05T23:26:40.3836199Z 2025-06-05T23:26:40.3837319Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:324 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-06-05T23:26:40.3839666Z quantized_decomposed_dequantize_per_tensor_default_903: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_572, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_572 = None 2025-06-05T23:26:40.3839817Z 2025-06-05T23:26:40.3841030Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.3842614Z aten_permute_copy_default_142: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_865, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_865 = None 2025-06-05T23:26:40.3844482Z quantized_decomposed_quantize_per_tensor_default_573: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_142, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_permute_copy_default_142 = None 2025-06-05T23:26:40.3846755Z quantized_decomposed_dequantize_per_tensor_default_904: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_573, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_573 = None 2025-06-05T23:26:40.3848260Z aten_select_copy_int_168: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_904, 0, 0); quantized_decomposed_dequantize_per_tensor_default_904 = None 2025-06-05T23:26:40.3850095Z quantized_decomposed_quantize_per_tensor_default_574: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_168, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_select_copy_int_168 = None 2025-06-05T23:26:40.3852324Z quantized_decomposed_dequantize_per_tensor_default_905: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_574, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_574 = None 2025-06-05T23:26:40.3853852Z aten_select_copy_int_169: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_905, 0, 0); quantized_decomposed_dequantize_per_tensor_default_905 = None 2025-06-05T23:26:40.3855581Z quantized_decomposed_quantize_per_tensor_default_575: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_169, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_select_copy_int_169 = None 2025-06-05T23:26:40.3855724Z 2025-06-05T23:26:40.3857532Z # File: .74:2250 in forward, code: dequantize_per_tensor_default_727 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_727, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantize_per_tensor_default_727 = None 2025-06-05T23:26:40.3859801Z quantized_decomposed_dequantize_per_tensor_default_906: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_575, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_575 = None 2025-06-05T23:26:40.3859958Z 2025-06-05T23:26:40.3861202Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.3862818Z aten_permute_copy_default_143: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_864, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_864 = None 2025-06-05T23:26:40.3864678Z quantized_decomposed_quantize_per_tensor_default_576: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_143, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_permute_copy_default_143 = None 2025-06-05T23:26:40.3866615Z quantized_decomposed_dequantize_per_tensor_default_907: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_576, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_576 = None 2025-06-05T23:26:40.3868054Z aten_select_copy_int_170: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_907, 0, 0); quantized_decomposed_dequantize_per_tensor_default_907 = None 2025-06-05T23:26:40.3869577Z quantized_decomposed_quantize_per_tensor_default_577: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_170, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_select_copy_int_170 = None 2025-06-05T23:26:40.3871973Z quantized_decomposed_dequantize_per_tensor_default_908: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_577, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_577 = None 2025-06-05T23:26:40.3873628Z aten_select_copy_int_171: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_908, 0, 1); quantized_decomposed_dequantize_per_tensor_default_908 = None 2025-06-05T23:26:40.3875324Z quantized_decomposed_quantize_per_tensor_default_578: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_171, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_select_copy_int_171 = None 2025-06-05T23:26:40.3875640Z 2025-06-05T23:26:40.3877453Z # File: .74:2259 in forward, code: dequantize_per_tensor_default_730 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_730, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantize_per_tensor_default_730 = None 2025-06-05T23:26:40.3879714Z quantized_decomposed_dequantize_per_tensor_default_909: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_578, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_578 = None 2025-06-05T23:26:40.3879882Z 2025-06-05T23:26:40.3881108Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.3882674Z aten_permute_copy_default_144: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_863, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_863 = None 2025-06-05T23:26:40.3884556Z quantized_decomposed_quantize_per_tensor_default_579: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_144, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_permute_copy_default_144 = None 2025-06-05T23:26:40.3886938Z quantized_decomposed_dequantize_per_tensor_default_910: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_579, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_579 = None 2025-06-05T23:26:40.3888402Z aten_select_copy_int_172: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_910, 0, 0); quantized_decomposed_dequantize_per_tensor_default_910 = None 2025-06-05T23:26:40.3890173Z quantized_decomposed_quantize_per_tensor_default_580: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_172, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_select_copy_int_172 = None 2025-06-05T23:26:40.3892418Z quantized_decomposed_dequantize_per_tensor_default_911: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_580, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_580 = None 2025-06-05T23:26:40.3893849Z aten_select_copy_int_173: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_911, 0, 2); quantized_decomposed_dequantize_per_tensor_default_911 = None 2025-06-05T23:26:40.3895863Z quantized_decomposed_quantize_per_tensor_default_581: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_173, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_select_copy_int_173 = None 2025-06-05T23:26:40.3896017Z 2025-06-05T23:26:40.3897803Z # File: .74:2268 in forward, code: dequantize_per_tensor_default_733 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_733, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantize_per_tensor_default_733 = None 2025-06-05T23:26:40.3900051Z quantized_decomposed_dequantize_per_tensor_default_912: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_581, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_581 = None 2025-06-05T23:26:40.3900292Z 2025-06-05T23:26:40.3901540Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.3903104Z aten_permute_copy_default_145: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_862, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_862 = None 2025-06-05T23:26:40.3904955Z quantized_decomposed_quantize_per_tensor_default_582: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_145, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_permute_copy_default_145 = None 2025-06-05T23:26:40.3907236Z quantized_decomposed_dequantize_per_tensor_default_913: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_582, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_582 = None 2025-06-05T23:26:40.3908774Z aten_select_copy_int_174: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_913, 0, 0); quantized_decomposed_dequantize_per_tensor_default_913 = None 2025-06-05T23:26:40.3910518Z quantized_decomposed_quantize_per_tensor_default_583: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_174, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_select_copy_int_174 = None 2025-06-05T23:26:40.3912919Z quantized_decomposed_dequantize_per_tensor_default_914: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_583, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_583 = None 2025-06-05T23:26:40.3914366Z aten_select_copy_int_175: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_914, 0, 3); quantized_decomposed_dequantize_per_tensor_default_914 = None 2025-06-05T23:26:40.3916127Z quantized_decomposed_quantize_per_tensor_default_584: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_175, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_select_copy_int_175 = None 2025-06-05T23:26:40.3916285Z 2025-06-05T23:26:40.3918196Z # File: .74:2277 in forward, code: dequantize_per_tensor_default_736 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_736, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantize_per_tensor_default_736 = None 2025-06-05T23:26:40.3920446Z quantized_decomposed_dequantize_per_tensor_default_915: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_584, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_584 = None 2025-06-05T23:26:40.3920604Z 2025-06-05T23:26:40.3921860Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.3923403Z aten_permute_copy_default_146: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_861, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_861 = None 2025-06-05T23:26:40.3925351Z quantized_decomposed_quantize_per_tensor_default_585: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_146, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_permute_copy_default_146 = None 2025-06-05T23:26:40.3927654Z quantized_decomposed_dequantize_per_tensor_default_916: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_585, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_585 = None 2025-06-05T23:26:40.3929089Z aten_select_copy_int_176: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_916, 0, 0); quantized_decomposed_dequantize_per_tensor_default_916 = None 2025-06-05T23:26:40.3930844Z quantized_decomposed_quantize_per_tensor_default_586: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_176, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_select_copy_int_176 = None 2025-06-05T23:26:40.3933186Z quantized_decomposed_dequantize_per_tensor_default_917: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_586, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_586 = None 2025-06-05T23:26:40.3934630Z aten_select_copy_int_177: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_917, 0, 4); quantized_decomposed_dequantize_per_tensor_default_917 = None 2025-06-05T23:26:40.3936425Z quantized_decomposed_quantize_per_tensor_default_587: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_177, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_select_copy_int_177 = None 2025-06-05T23:26:40.3936580Z 2025-06-05T23:26:40.3938409Z # File: .74:2286 in forward, code: dequantize_per_tensor_default_739 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_739, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantize_per_tensor_default_739 = None 2025-06-05T23:26:40.3940668Z quantized_decomposed_dequantize_per_tensor_default_918: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_587, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_587 = None 2025-06-05T23:26:40.3940826Z 2025-06-05T23:26:40.3942121Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.3943698Z aten_permute_copy_default_147: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_860, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_860 = None 2025-06-05T23:26:40.3945580Z quantized_decomposed_quantize_per_tensor_default_588: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_147, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_permute_copy_default_147 = None 2025-06-05T23:26:40.3947863Z quantized_decomposed_dequantize_per_tensor_default_919: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_588, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_588 = None 2025-06-05T23:26:40.3949380Z aten_select_copy_int_178: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_919, 0, 0); quantized_decomposed_dequantize_per_tensor_default_919 = None 2025-06-05T23:26:40.3951209Z quantized_decomposed_quantize_per_tensor_default_589: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_178, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_select_copy_int_178 = None 2025-06-05T23:26:40.3953480Z quantized_decomposed_dequantize_per_tensor_default_920: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_589, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_589 = None 2025-06-05T23:26:40.3954931Z aten_select_copy_int_179: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_920, 0, 5); quantized_decomposed_dequantize_per_tensor_default_920 = None 2025-06-05T23:26:40.3956796Z quantized_decomposed_quantize_per_tensor_default_590: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_179, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_select_copy_int_179 = None 2025-06-05T23:26:40.3956947Z 2025-06-05T23:26:40.3958786Z # File: .74:2295 in forward, code: dequantize_per_tensor_default_742 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_742, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantize_per_tensor_default_742 = None 2025-06-05T23:26:40.3961085Z quantized_decomposed_dequantize_per_tensor_default_921: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_590, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_590 = None 2025-06-05T23:26:40.3961218Z 2025-06-05T23:26:40.3962458Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.3964018Z aten_permute_copy_default_148: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_859, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_859 = None 2025-06-05T23:26:40.3965969Z quantized_decomposed_quantize_per_tensor_default_591: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_148, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_permute_copy_default_148 = None 2025-06-05T23:26:40.3968285Z quantized_decomposed_dequantize_per_tensor_default_922: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_591, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_591 = None 2025-06-05T23:26:40.3969734Z aten_select_copy_int_180: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_922, 0, 0); quantized_decomposed_dequantize_per_tensor_default_922 = None 2025-06-05T23:26:40.3971497Z quantized_decomposed_quantize_per_tensor_default_592: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_180, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_select_copy_int_180 = None 2025-06-05T23:26:40.3974008Z quantized_decomposed_dequantize_per_tensor_default_923: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_592, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_592 = None 2025-06-05T23:26:40.3975433Z aten_select_copy_int_181: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_923, 0, 6); quantized_decomposed_dequantize_per_tensor_default_923 = None 2025-06-05T23:26:40.3977212Z quantized_decomposed_quantize_per_tensor_default_593: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_181, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_select_copy_int_181 = None 2025-06-05T23:26:40.3977377Z 2025-06-05T23:26:40.3979204Z # File: .74:2304 in forward, code: dequantize_per_tensor_default_745 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_745, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantize_per_tensor_default_745 = None 2025-06-05T23:26:40.3981640Z quantized_decomposed_dequantize_per_tensor_default_924: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_593, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_593 = None 2025-06-05T23:26:40.3981779Z 2025-06-05T23:26:40.3983014Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.3984566Z aten_permute_copy_default_149: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_858, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_858 = None 2025-06-05T23:26:40.3986448Z quantized_decomposed_quantize_per_tensor_default_594: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_149, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_permute_copy_default_149 = None 2025-06-05T23:26:40.3988744Z quantized_decomposed_dequantize_per_tensor_default_925: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_594, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_594 = None 2025-06-05T23:26:40.3990374Z aten_select_copy_int_182: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_925, 0, 0); quantized_decomposed_dequantize_per_tensor_default_925 = None 2025-06-05T23:26:40.3992197Z quantized_decomposed_quantize_per_tensor_default_595: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_182, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_select_copy_int_182 = None 2025-06-05T23:26:40.3994473Z quantized_decomposed_dequantize_per_tensor_default_926: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_595, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_595 = None 2025-06-05T23:26:40.3996002Z aten_select_copy_int_183: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_926, 0, 7); quantized_decomposed_dequantize_per_tensor_default_926 = None 2025-06-05T23:26:40.3997784Z quantized_decomposed_quantize_per_tensor_default_596: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_183, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_select_copy_int_183 = None 2025-06-05T23:26:40.3997924Z 2025-06-05T23:26:40.3999705Z # File: .74:2313 in forward, code: dequantize_per_tensor_default_748 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_748, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantize_per_tensor_default_748 = None 2025-06-05T23:26:40.4001988Z quantized_decomposed_dequantize_per_tensor_default_927: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_596, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_596 = None 2025-06-05T23:26:40.4002135Z 2025-06-05T23:26:40.4003352Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.4005016Z aten_permute_copy_default_150: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_857, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_857 = None 2025-06-05T23:26:40.4006875Z quantized_decomposed_quantize_per_tensor_default_597: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_150, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_permute_copy_default_150 = None 2025-06-05T23:26:40.4009201Z quantized_decomposed_dequantize_per_tensor_default_928: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_597, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_597 = None 2025-06-05T23:26:40.4010646Z aten_select_copy_int_184: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_928, 0, 0); quantized_decomposed_dequantize_per_tensor_default_928 = None 2025-06-05T23:26:40.4012407Z quantized_decomposed_quantize_per_tensor_default_598: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_184, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_select_copy_int_184 = None 2025-06-05T23:26:40.4014826Z quantized_decomposed_dequantize_per_tensor_default_929: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_598, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_598 = None 2025-06-05T23:26:40.4016276Z aten_select_copy_int_185: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_929, 0, 8); quantized_decomposed_dequantize_per_tensor_default_929 = None 2025-06-05T23:26:40.4018060Z quantized_decomposed_quantize_per_tensor_default_599: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_185, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_select_copy_int_185 = None 2025-06-05T23:26:40.4018259Z 2025-06-05T23:26:40.4020070Z # File: .74:2322 in forward, code: dequantize_per_tensor_default_751 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_751, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantize_per_tensor_default_751 = None 2025-06-05T23:26:40.4022313Z quantized_decomposed_dequantize_per_tensor_default_930: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_599, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_599 = None 2025-06-05T23:26:40.4022456Z 2025-06-05T23:26:40.4023670Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.4025225Z aten_permute_copy_default_151: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_856, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_856 = None 2025-06-05T23:26:40.4027092Z quantized_decomposed_quantize_per_tensor_default_600: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_151, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_permute_copy_default_151 = None 2025-06-05T23:26:40.4029446Z quantized_decomposed_dequantize_per_tensor_default_931: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_600, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_600 = None 2025-06-05T23:26:40.4031009Z aten_select_copy_int_186: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_931, 0, 0); quantized_decomposed_dequantize_per_tensor_default_931 = None 2025-06-05T23:26:40.4032788Z quantized_decomposed_quantize_per_tensor_default_601: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_186, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_select_copy_int_186 = None 2025-06-05T23:26:40.4035045Z quantized_decomposed_dequantize_per_tensor_default_932: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_601, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_601 = None 2025-06-05T23:26:40.4036481Z aten_select_copy_int_187: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_932, 0, 9); quantized_decomposed_dequantize_per_tensor_default_932 = None 2025-06-05T23:26:40.4038380Z quantized_decomposed_quantize_per_tensor_default_602: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_187, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_select_copy_int_187 = None 2025-06-05T23:26:40.4038529Z 2025-06-05T23:26:40.4040341Z # File: .74:2331 in forward, code: dequantize_per_tensor_default_754 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_754, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantize_per_tensor_default_754 = None 2025-06-05T23:26:40.4042628Z quantized_decomposed_dequantize_per_tensor_default_933: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_602, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_602 = None 2025-06-05T23:26:40.4042843Z 2025-06-05T23:26:40.4044056Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.4045610Z aten_permute_copy_default_152: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_855, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_855 = None 2025-06-05T23:26:40.4047479Z quantized_decomposed_quantize_per_tensor_default_603: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_152, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_permute_copy_default_152 = None 2025-06-05T23:26:40.4049777Z quantized_decomposed_dequantize_per_tensor_default_934: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_603, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_603 = None 2025-06-05T23:26:40.4051332Z aten_select_copy_int_188: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_934, 0, 0); quantized_decomposed_dequantize_per_tensor_default_934 = None 2025-06-05T23:26:40.4053113Z quantized_decomposed_quantize_per_tensor_default_604: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_188, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_select_copy_int_188 = None 2025-06-05T23:26:40.4055375Z quantized_decomposed_dequantize_per_tensor_default_935: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_604, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_604 = None 2025-06-05T23:26:40.4056799Z aten_select_copy_int_189: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_935, 0, 10); quantized_decomposed_dequantize_per_tensor_default_935 = None 2025-06-05T23:26:40.4058587Z quantized_decomposed_quantize_per_tensor_default_605: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_189, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_select_copy_int_189 = None 2025-06-05T23:26:40.4058726Z 2025-06-05T23:26:40.4060623Z # File: .74:2340 in forward, code: dequantize_per_tensor_default_757 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_757, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantize_per_tensor_default_757 = None 2025-06-05T23:26:40.4062988Z quantized_decomposed_dequantize_per_tensor_default_936: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_605, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_605 = None 2025-06-05T23:26:40.4063144Z 2025-06-05T23:26:40.4064384Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.4065972Z aten_permute_copy_default_153: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_854, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_854 = None 2025-06-05T23:26:40.4067903Z quantized_decomposed_quantize_per_tensor_default_606: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_153, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_permute_copy_default_153 = None 2025-06-05T23:26:40.4070203Z quantized_decomposed_dequantize_per_tensor_default_937: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_606, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_606 = None 2025-06-05T23:26:40.4071714Z aten_select_copy_int_190: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_937, 0, 0); quantized_decomposed_dequantize_per_tensor_default_937 = None 2025-06-05T23:26:40.4073712Z quantized_decomposed_quantize_per_tensor_default_607: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_190, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_select_copy_int_190 = None 2025-06-05T23:26:40.4076088Z quantized_decomposed_dequantize_per_tensor_default_938: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_607, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_607 = None 2025-06-05T23:26:40.4077500Z aten_select_copy_int_191: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_938, 0, 11); quantized_decomposed_dequantize_per_tensor_default_938 = None 2025-06-05T23:26:40.4079279Z quantized_decomposed_quantize_per_tensor_default_608: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_191, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_select_copy_int_191 = None 2025-06-05T23:26:40.4079422Z 2025-06-05T23:26:40.4081258Z # File: .74:2349 in forward, code: dequantize_per_tensor_default_760 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_760, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantize_per_tensor_default_760 = None 2025-06-05T23:26:40.4083519Z quantized_decomposed_dequantize_per_tensor_default_939: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_608, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_608 = None 2025-06-05T23:26:40.4083667Z 2025-06-05T23:26:40.4085134Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.4096090Z aten_cat_default_15: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([quantized_decomposed_dequantize_per_tensor_default_906, quantized_decomposed_dequantize_per_tensor_default_909, quantized_decomposed_dequantize_per_tensor_default_912, quantized_decomposed_dequantize_per_tensor_default_915, quantized_decomposed_dequantize_per_tensor_default_918, quantized_decomposed_dequantize_per_tensor_default_921, quantized_decomposed_dequantize_per_tensor_default_924, quantized_decomposed_dequantize_per_tensor_default_927, quantized_decomposed_dequantize_per_tensor_default_930, quantized_decomposed_dequantize_per_tensor_default_933, quantized_decomposed_dequantize_per_tensor_default_936, quantized_decomposed_dequantize_per_tensor_default_939]); quantized_decomposed_dequantize_per_tensor_default_906 = quantized_decomposed_dequantize_per_tensor_default_909 = quantized_decomposed_dequantize_per_tensor_default_912 = quantized_decomposed_dequantize_per_tensor_default_915 = quantized_decomposed_dequantize_per_tensor_default_918 = quantized_decomposed_dequantize_per_tensor_default_921 = quantized_decomposed_dequantize_per_tensor_default_924 = quantized_decomposed_dequantize_per_tensor_default_927 = quantized_decomposed_dequantize_per_tensor_default_930 = quantized_decomposed_dequantize_per_tensor_default_933 = quantized_decomposed_dequantize_per_tensor_default_936 = quantized_decomposed_dequantize_per_tensor_default_939 = None 2025-06-05T23:26:40.4097967Z quantized_decomposed_quantize_per_tensor_default_609: "i32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_15, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_cat_default_15 = None 2025-06-05T23:26:40.4100268Z quantized_decomposed_dequantize_per_tensor_default_940: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_609, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_609 = None 2025-06-05T23:26:40.4101861Z aten_view_copy_default_64: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_940, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_940 = None 2025-06-05T23:26:40.4103668Z quantized_decomposed_quantize_per_tensor_default_610: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_64, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_view_copy_default_64 = None 2025-06-05T23:26:40.4103830Z 2025-06-05T23:26:40.4105640Z # File: .74:2355 in forward, code: dequantize_per_tensor_default_762 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_762, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantize_per_tensor_default_762 = None 2025-06-05T23:26:40.4107933Z quantized_decomposed_dequantize_per_tensor_default_941: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_610, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_610 = None 2025-06-05T23:26:40.4108089Z 2025-06-05T23:26:40.4109911Z # File: .74:2356 in forward, code: quantize_per_tensor_default_763 = torch.ops.quantized_decomposed.quantize_per_tensor.default(dequantize_per_tensor_default_762, 0.0001327675417996943, 0, -32767, 32767, torch.int16); dequantize_per_tensor_default_762 = None 2025-06-05T23:26:40.4112379Z quantized_decomposed_quantize_per_tensor_default_611: "i16[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_941, 0.0001327675417996943, 0, -32767, 32767, torch.int16); quantized_decomposed_dequantize_per_tensor_default_941 = None 2025-06-05T23:26:40.4112577Z 2025-06-05T23:26:40.4113454Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:327 in forward, code: y = attn_weight @ v 2025-06-05T23:26:40.4115736Z quantized_decomposed_dequantize_per_tensor_default_942: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_611, 0.0001327675417996943, 0, -32767, 32767, torch.int16); quantized_decomposed_quantize_per_tensor_default_611 = None 2025-06-05T23:26:40.4115940Z 2025-06-05T23:26:40.4117072Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:324 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-06-05T23:26:40.4118627Z aten_permute_copy_default_154: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_903, [0, 1, 3, 2]); quantized_decomposed_dequantize_per_tensor_default_903 = None 2025-06-05T23:26:40.4120463Z quantized_decomposed_quantize_per_tensor_default_612: "i32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_154, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_permute_copy_default_154 = None 2025-06-05T23:26:40.4120615Z 2025-06-05T23:26:40.4122432Z # File: .74:2360 in forward, code: dequantize_per_tensor_default_764 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_764, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantize_per_tensor_default_764 = None 2025-06-05T23:26:40.4124722Z quantized_decomposed_dequantize_per_tensor_default_943: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_612, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_612 = None 2025-06-05T23:26:40.4124875Z 2025-06-05T23:26:40.4126773Z # File: .74:2361 in forward, code: quantize_per_tensor_default_765 = torch.ops.quantized_decomposed.quantize_per_tensor.default(dequantize_per_tensor_default_764, 0.00040133832953870296, 0, -32767, 32767, torch.int16); dequantize_per_tensor_default_764 = None 2025-06-05T23:26:40.4129022Z quantized_decomposed_quantize_per_tensor_default_613: "i16[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_943, 0.00040133832953870296, 0, -32767, 32767, torch.int16); quantized_decomposed_dequantize_per_tensor_default_943 = None 2025-06-05T23:26:40.4129184Z 2025-06-05T23:26:40.4130304Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:324 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-06-05T23:26:40.4132591Z quantized_decomposed_dequantize_per_tensor_default_944: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_613, 0.00040133832953870296, 0, -32767, 32767, torch.int16); quantized_decomposed_quantize_per_tensor_default_613 = None 2025-06-05T23:26:40.4134117Z aten_expand_copy_default_12: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_838, [1, 12, 1, 64]); quantized_decomposed_dequantize_per_tensor_default_838 = None 2025-06-05T23:26:40.4135312Z aten_view_copy_default_65: "f32[12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_12, [12, 1, 64]); aten_expand_copy_default_12 = None 2025-06-05T23:26:40.4136889Z aten_expand_copy_default_13: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_944, [1, 12, 64, 128]); quantized_decomposed_dequantize_per_tensor_default_944 = None 2025-06-05T23:26:40.4137940Z aten_view_copy_default_66: "f32[12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_13, [12, 64, 128]); aten_expand_copy_default_13 = None 2025-06-05T23:26:40.4139196Z aten_bmm_default_6: "f32[12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_65, aten_view_copy_default_66); aten_view_copy_default_65 = aten_view_copy_default_66 = None 2025-06-05T23:26:40.4140246Z aten_view_copy_default_67: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_6, [1, 12, 1, 128]); aten_bmm_default_6 = None 2025-06-05T23:26:40.4142032Z quantized_decomposed_quantize_per_tensor_default_614: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_67, 0.0038027865812182426, 39476, 0, 65535, torch.int32); aten_view_copy_default_67 = None 2025-06-05T23:26:40.4144279Z quantized_decomposed_dequantize_per_tensor_default_945: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_614, 0.0038027865812182426, 39476, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_614 = None 2025-06-05T23:26:40.4145976Z quantized_decomposed_dequantize_per_tensor_default_946: "f32[]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(b__frozen_param152, 1.9073777366429567e-06, 0, 0, 65535, torch.int32); b__frozen_param152 = None 2025-06-05T23:26:40.4148278Z aten_mul_tensor_55: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_945, quantized_decomposed_dequantize_per_tensor_default_946); quantized_decomposed_dequantize_per_tensor_default_945 = quantized_decomposed_dequantize_per_tensor_default_946 = None 2025-06-05T23:26:40.4149998Z quantized_decomposed_quantize_per_tensor_default_615: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_55, 0.00047534832265228033, 39476, 0, 65535, torch.int32); aten_mul_tensor_55 = None 2025-06-05T23:26:40.4150136Z 2025-06-05T23:26:40.4151170Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:325 in forward, code: attn_weight += attn_mask 2025-06-05T23:26:40.4153454Z quantized_decomposed_dequantize_per_tensor_default_947: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_615, 0.00047534832265228033, 39476, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_615 = None 2025-06-05T23:26:40.4155671Z aten_add_tensor_17: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_947, quantized_decomposed_dequantize_per_tensor_default_839); quantized_decomposed_dequantize_per_tensor_default_947 = quantized_decomposed_dequantize_per_tensor_default_839 = None 2025-06-05T23:26:40.4157423Z quantized_decomposed_quantize_per_tensor_default_616: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_17, 0.004309757146984339, 62661, 0, 65535, torch.int32); aten_add_tensor_17 = None 2025-06-05T23:26:40.4157609Z 2025-06-05T23:26:40.4158675Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:326 in forward, code: attn_weight = torch.softmax(attn_weight, dim=-1) 2025-06-05T23:26:40.4160934Z quantized_decomposed_dequantize_per_tensor_default_948: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_616, 0.004309757146984339, 62661, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_616 = None 2025-06-05T23:26:40.4162439Z aten__softmax_default_3: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten__softmax_default(quantized_decomposed_dequantize_per_tensor_default_948, -1, False); quantized_decomposed_dequantize_per_tensor_default_948 = None 2025-06-05T23:26:40.4164269Z quantized_decomposed_quantize_per_tensor_default_617: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten__softmax_default_3, 1.5259021893143654e-05, 0, 0, 65535, torch.int32); aten__softmax_default_3 = None 2025-06-05T23:26:40.4164414Z 2025-06-05T23:26:40.4165298Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:327 in forward, code: y = attn_weight @ v 2025-06-05T23:26:40.4167546Z quantized_decomposed_dequantize_per_tensor_default_949: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_617, 1.5259021893143654e-05, 0, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_617 = None 2025-06-05T23:26:40.4168867Z aten_expand_copy_default_14: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_949, [1, 12, 1, 128]); quantized_decomposed_dequantize_per_tensor_default_949 = None 2025-06-05T23:26:40.4169875Z aten_view_copy_default_68: "f32[12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_14, [12, 1, 128]); aten_expand_copy_default_14 = None 2025-06-05T23:26:40.4171578Z aten_expand_copy_default_15: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_942, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_942 = None 2025-06-05T23:26:40.4173301Z aten_view_copy_default_69: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_15, [12, 128, 64]); aten_expand_copy_default_15 = None 2025-06-05T23:26:40.4174151Z aten_bmm_default_7: "f32[12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_68, aten_view_copy_default_69); aten_view_copy_default_68 = aten_view_copy_default_69 = None 2025-06-05T23:26:40.4174690Z aten_view_copy_default_70: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_7, [1, 12, 1, 64]); aten_bmm_default_7 = None 2025-06-05T23:26:40.4175612Z quantized_decomposed_quantize_per_tensor_default_618: "i32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_70, 6.451566150644794e-05, 32814, 0, 65535, torch.int32); aten_view_copy_default_70 = None 2025-06-05T23:26:40.4175710Z 2025-06-05T23:26:40.4176358Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:329 in forward, code: return y.transpose(1, 2).contiguous().view(bsz, seqlen, self.dim) 2025-06-05T23:26:40.4177713Z quantized_decomposed_dequantize_per_tensor_default_950: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_618, 6.451566150644794e-05, 32814, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_618 = None 2025-06-05T23:26:40.4178587Z aten_permute_copy_default_155: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_950, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_950 = None 2025-06-05T23:26:40.4179532Z quantized_decomposed_quantize_per_tensor_default_619: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_155, 6.451566150644794e-05, 32814, 0, 65535, torch.int32); aten_permute_copy_default_155 = None 2025-06-05T23:26:40.4180706Z quantized_decomposed_dequantize_per_tensor_default_951: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_619, 6.451566150644794e-05, 32814, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_619 = None 2025-06-05T23:26:40.4181538Z aten_view_copy_default_71: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_951, [1, 1, 768]); quantized_decomposed_dequantize_per_tensor_default_951 = None 2025-06-05T23:26:40.4182457Z quantized_decomposed_quantize_per_tensor_default_620: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_71, 6.451566150644794e-05, 32814, 0, 65535, torch.int32); aten_view_copy_default_71 = None 2025-06-05T23:26:40.4182549Z 2025-06-05T23:26:40.4183096Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.4184268Z quantized_decomposed_dequantize_per_tensor_default_952: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_620, 6.451566150644794e-05, 32814, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_620 = None 2025-06-05T23:26:40.4185140Z aten_unsqueeze_copy_default_40: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_952, -1); quantized_decomposed_dequantize_per_tensor_default_952 = None 2025-06-05T23:26:40.4186096Z quantized_decomposed_quantize_per_tensor_default_621: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_40, 6.451566150644794e-05, 32814, 0, 65535, torch.int32); aten_unsqueeze_copy_default_40 = None 2025-06-05T23:26:40.4186194Z 2025-06-05T23:26:40.4186601Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.4187761Z quantized_decomposed_dequantize_per_tensor_default_953: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_621, 6.451566150644794e-05, 32814, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_621 = None 2025-06-05T23:26:40.4188576Z aten_permute_copy_default_156: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_953, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_953 = None 2025-06-05T23:26:40.4189521Z quantized_decomposed_quantize_per_tensor_default_622: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_156, 6.451566150644794e-05, 32814, 0, 65535, torch.int32); aten_permute_copy_default_156 = None 2025-06-05T23:26:40.4189661Z 2025-06-05T23:26:40.4190044Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.4191306Z quantized_decomposed_dequantize_per_tensor_default_954: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_622, 6.451566150644794e-05, 32814, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_622 = None 2025-06-05T23:26:40.4192619Z aten_convolution_default_24: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_954, quantized_decomposed_dequantize_per_tensor_default_32, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_954 = quantized_decomposed_dequantize_per_tensor_default_32 = None 2025-06-05T23:26:40.4193620Z quantized_decomposed_quantize_per_tensor_default_623: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_24, 5.919613249716349e-05, 40616, 0, 65535, torch.int32); aten_convolution_default_24 = None 2025-06-05T23:26:40.4193717Z 2025-06-05T23:26:40.4194145Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.4195314Z quantized_decomposed_dequantize_per_tensor_default_955: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_623, 5.919613249716349e-05, 40616, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_623 = None 2025-06-05T23:26:40.4196152Z aten_permute_copy_default_157: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_955, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_955 = None 2025-06-05T23:26:40.4197140Z quantized_decomposed_quantize_per_tensor_default_624: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_157, 5.919613249716349e-05, 40616, 0, 65535, torch.int32); aten_permute_copy_default_157 = None 2025-06-05T23:26:40.4197220Z 2025-06-05T23:26:40.4197776Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.4198931Z quantized_decomposed_dequantize_per_tensor_default_956: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_624, 5.919613249716349e-05, 40616, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_624 = None 2025-06-05T23:26:40.4199718Z aten_squeeze_copy_dims_40: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_956, [-1]); quantized_decomposed_dequantize_per_tensor_default_956 = None 2025-06-05T23:26:40.4200632Z quantized_decomposed_quantize_per_tensor_default_625: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_40, 5.919613249716349e-05, 40616, 0, 65535, torch.int32); aten_squeeze_copy_dims_40 = None 2025-06-05T23:26:40.4200712Z 2025-06-05T23:26:40.4201096Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:132 in forward, code: h = x + h 2025-06-05T23:26:40.4202291Z quantized_decomposed_dequantize_per_tensor_default_957: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_625, 5.919613249716349e-05, 40616, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_625 = None 2025-06-05T23:26:40.4203468Z aten_add_tensor_18: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_779, quantized_decomposed_dequantize_per_tensor_default_957); quantized_decomposed_dequantize_per_tensor_default_779 = quantized_decomposed_dequantize_per_tensor_default_957 = None 2025-06-05T23:26:40.4204351Z quantized_decomposed_quantize_per_tensor_default_626: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_18, 0.0020493771880865097, 7471, 0, 65535, torch.int32); aten_add_tensor_18 = None 2025-06-05T23:26:40.4204465Z 2025-06-05T23:26:40.4204979Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:136 in forward, code: out = h + self.feed_forward(self.ffn_norm(h)) 2025-06-05T23:26:40.4205940Z quantized_decomposed_dequantize_per_tensor_default_958: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_626, 0.0020493771880865097, 7471, 0, 65535, torch.int32) 2025-06-05T23:26:40.4207103Z quantized_decomposed_dequantize_per_tensor_default_959: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_626, 0.0020493771880865097, 7471, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_626 = None 2025-06-05T23:26:40.4207640Z aten_pow_tensor_scalar_7: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(quantized_decomposed_dequantize_per_tensor_default_959, 2) 2025-06-05T23:26:40.4208101Z aten_mean_dim_7: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_mean_dim(aten_pow_tensor_scalar_7, [2], True); aten_pow_tensor_scalar_7 = None 2025-06-05T23:26:40.4208545Z aten_add_scalar_7: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_add_Scalar(aten_mean_dim_7, 9.999999747378752e-06); aten_mean_dim_7 = None 2025-06-05T23:26:40.4209023Z aten_rsqrt_default_7: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_rsqrt_default(aten_add_scalar_7); aten_add_scalar_7 = None 2025-06-05T23:26:40.4209887Z aten_mul_tensor_56: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_959, aten_rsqrt_default_7); quantized_decomposed_dequantize_per_tensor_default_959 = aten_rsqrt_default_7 = None 2025-06-05T23:26:40.4210708Z aten_mul_tensor_57: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_56, quantized_decomposed_dequantize_per_tensor_default_33); aten_mul_tensor_56 = quantized_decomposed_dequantize_per_tensor_default_33 = None 2025-06-05T23:26:40.4211599Z quantized_decomposed_quantize_per_tensor_default_627: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_57, 0.00031500012846663594, 14572, 0, 65535, torch.int32); aten_mul_tensor_57 = None 2025-06-05T23:26:40.4211679Z 2025-06-05T23:26:40.4212223Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.4213166Z quantized_decomposed_dequantize_per_tensor_default_960: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_627, 0.00031500012846663594, 14572, 0, 65535, torch.int32) 2025-06-05T23:26:40.4214395Z quantized_decomposed_dequantize_per_tensor_default_961: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_627, 0.00031500012846663594, 14572, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_627 = None 2025-06-05T23:26:40.4215259Z aten_unsqueeze_copy_default_41: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_961, -1); quantized_decomposed_dequantize_per_tensor_default_961 = None 2025-06-05T23:26:40.4216229Z quantized_decomposed_quantize_per_tensor_default_628: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_41, 0.00031500012846663594, 14572, 0, 65535, torch.int32); aten_unsqueeze_copy_default_41 = None 2025-06-05T23:26:40.4216347Z 2025-06-05T23:26:40.4216751Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.4217932Z quantized_decomposed_dequantize_per_tensor_default_962: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_628, 0.00031500012846663594, 14572, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_628 = None 2025-06-05T23:26:40.4218742Z aten_permute_copy_default_158: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_962, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_962 = None 2025-06-05T23:26:40.4219689Z quantized_decomposed_quantize_per_tensor_default_629: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_158, 0.00031500012846663594, 14572, 0, 65535, torch.int32); aten_permute_copy_default_158 = None 2025-06-05T23:26:40.4219772Z 2025-06-05T23:26:40.4220145Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.4221343Z quantized_decomposed_dequantize_per_tensor_default_963: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_629, 0.00031500012846663594, 14572, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_629 = None 2025-06-05T23:26:40.4222655Z aten_convolution_default_25: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_963, quantized_decomposed_dequantize_per_tensor_default_34, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_963 = quantized_decomposed_dequantize_per_tensor_default_34 = None 2025-06-05T23:26:40.4223620Z quantized_decomposed_quantize_per_tensor_default_630: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_25, 0.00022086942044552416, 31371, 0, 65535, torch.int32); aten_convolution_default_25 = None 2025-06-05T23:26:40.4223701Z 2025-06-05T23:26:40.4224139Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.4225329Z quantized_decomposed_dequantize_per_tensor_default_964: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_630, 0.00022086942044552416, 31371, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_630 = None 2025-06-05T23:26:40.4226181Z aten_permute_copy_default_159: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_964, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_964 = None 2025-06-05T23:26:40.4227185Z quantized_decomposed_quantize_per_tensor_default_631: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_159, 0.00022086942044552416, 31371, 0, 65535, torch.int32); aten_permute_copy_default_159 = None 2025-06-05T23:26:40.4227264Z 2025-06-05T23:26:40.4227811Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.4229002Z quantized_decomposed_dequantize_per_tensor_default_965: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_631, 0.00022086942044552416, 31371, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_631 = None 2025-06-05T23:26:40.4229802Z aten_squeeze_copy_dims_41: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_965, [-1]); quantized_decomposed_dequantize_per_tensor_default_965 = None 2025-06-05T23:26:40.4230737Z quantized_decomposed_quantize_per_tensor_default_632: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_41, 0.00022086942044552416, 31371, 0, 65535, torch.int32); aten_squeeze_copy_dims_41 = None 2025-06-05T23:26:40.4230902Z 2025-06-05T23:26:40.4231426Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:37 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-06-05T23:26:40.4232378Z quantized_decomposed_dequantize_per_tensor_default_966: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_632, 0.00022086942044552416, 31371, 0, 65535, torch.int32) 2025-06-05T23:26:40.4233582Z quantized_decomposed_dequantize_per_tensor_default_967: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_632, 0.00022086942044552416, 31371, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_632 = None 2025-06-05T23:26:40.4234335Z aten_sigmoid_default_3: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_sigmoid_default(quantized_decomposed_dequantize_per_tensor_default_967); quantized_decomposed_dequantize_per_tensor_default_967 = None 2025-06-05T23:26:40.4235206Z quantized_decomposed_quantize_per_tensor_default_633: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sigmoid_default_3, 1.52587890625e-05, 0, 0, 65535, torch.int32); aten_sigmoid_default_3 = None 2025-06-05T23:26:40.4236337Z quantized_decomposed_dequantize_per_tensor_default_968: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_633, 1.52587890625e-05, 0, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_633 = None 2025-06-05T23:26:40.4237485Z aten_mul_tensor_58: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_966, quantized_decomposed_dequantize_per_tensor_default_968); quantized_decomposed_dequantize_per_tensor_default_966 = quantized_decomposed_dequantize_per_tensor_default_968 = None 2025-06-05T23:26:40.4238351Z quantized_decomposed_quantize_per_tensor_default_634: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_58, 0.00011932865891139954, 2334, 0, 65535, torch.int32); aten_mul_tensor_58 = None 2025-06-05T23:26:40.4239588Z quantized_decomposed_dequantize_per_tensor_default_969: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_634, 0.00011932865891139954, 2334, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_634 = None 2025-06-05T23:26:40.4239667Z 2025-06-05T23:26:40.4240194Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.4241024Z aten_unsqueeze_copy_default_42: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_960, -1); quantized_decomposed_dequantize_per_tensor_default_960 = None 2025-06-05T23:26:40.4242023Z quantized_decomposed_quantize_per_tensor_default_635: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_42, 0.00031500012846663594, 14572, 0, 65535, torch.int32); aten_unsqueeze_copy_default_42 = None 2025-06-05T23:26:40.4242102Z 2025-06-05T23:26:40.4242523Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.4243693Z quantized_decomposed_dequantize_per_tensor_default_970: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_635, 0.00031500012846663594, 14572, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_635 = None 2025-06-05T23:26:40.4244507Z aten_permute_copy_default_160: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_970, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_970 = None 2025-06-05T23:26:40.4245465Z quantized_decomposed_quantize_per_tensor_default_636: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_160, 0.00031500012846663594, 14572, 0, 65535, torch.int32); aten_permute_copy_default_160 = None 2025-06-05T23:26:40.4245544Z 2025-06-05T23:26:40.4245969Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.4247133Z quantized_decomposed_dequantize_per_tensor_default_971: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_636, 0.00031500012846663594, 14572, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_636 = None 2025-06-05T23:26:40.4248444Z aten_convolution_default_26: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_971, quantized_decomposed_dequantize_per_tensor_default_35, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_971 = quantized_decomposed_dequantize_per_tensor_default_35 = None 2025-06-05T23:26:40.4249411Z quantized_decomposed_quantize_per_tensor_default_637: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_26, 0.00024752813624218106, 33708, 0, 65535, torch.int32); aten_convolution_default_26 = None 2025-06-05T23:26:40.4249488Z 2025-06-05T23:26:40.4249928Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.4251538Z quantized_decomposed_dequantize_per_tensor_default_972: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_637, 0.00024752813624218106, 33708, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_637 = None 2025-06-05T23:26:40.4252377Z aten_permute_copy_default_161: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_972, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_972 = None 2025-06-05T23:26:40.4253347Z quantized_decomposed_quantize_per_tensor_default_638: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_161, 0.00024752813624218106, 33708, 0, 65535, torch.int32); aten_permute_copy_default_161 = None 2025-06-05T23:26:40.4253456Z 2025-06-05T23:26:40.4254000Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.4255188Z quantized_decomposed_dequantize_per_tensor_default_973: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_638, 0.00024752813624218106, 33708, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_638 = None 2025-06-05T23:26:40.4255955Z aten_squeeze_copy_dims_42: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_973, [-1]); quantized_decomposed_dequantize_per_tensor_default_973 = None 2025-06-05T23:26:40.4256890Z quantized_decomposed_quantize_per_tensor_default_639: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_42, 0.00024752813624218106, 33708, 0, 65535, torch.int32); aten_squeeze_copy_dims_42 = None 2025-06-05T23:26:40.4256970Z 2025-06-05T23:26:40.4257486Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:37 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-06-05T23:26:40.4258717Z quantized_decomposed_dequantize_per_tensor_default_974: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_639, 0.00024752813624218106, 33708, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_639 = None 2025-06-05T23:26:40.4259861Z aten_mul_tensor_59: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_969, quantized_decomposed_dequantize_per_tensor_default_974); quantized_decomposed_dequantize_per_tensor_default_969 = quantized_decomposed_dequantize_per_tensor_default_974 = None 2025-06-05T23:26:40.4260749Z quantized_decomposed_quantize_per_tensor_default_640: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_59, 0.0006538353045471013, 38748, 0, 65535, torch.int32); aten_mul_tensor_59 = None 2025-06-05T23:26:40.4260826Z 2025-06-05T23:26:40.4261350Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.4262536Z quantized_decomposed_dequantize_per_tensor_default_975: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_640, 0.0006538353045471013, 38748, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_640 = None 2025-06-05T23:26:40.4263380Z aten_unsqueeze_copy_default_43: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_975, -1); quantized_decomposed_dequantize_per_tensor_default_975 = None 2025-06-05T23:26:40.4264366Z quantized_decomposed_quantize_per_tensor_default_641: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_43, 0.0006538353045471013, 38748, 0, 65535, torch.int32); aten_unsqueeze_copy_default_43 = None 2025-06-05T23:26:40.4264454Z 2025-06-05T23:26:40.4264860Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.4266022Z quantized_decomposed_dequantize_per_tensor_default_976: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_641, 0.0006538353045471013, 38748, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_641 = None 2025-06-05T23:26:40.4266870Z aten_permute_copy_default_162: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_976, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_976 = None 2025-06-05T23:26:40.4267823Z quantized_decomposed_quantize_per_tensor_default_642: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_162, 0.0006538353045471013, 38748, 0, 65535, torch.int32); aten_permute_copy_default_162 = None 2025-06-05T23:26:40.4267911Z 2025-06-05T23:26:40.4268273Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.4269438Z quantized_decomposed_dequantize_per_tensor_default_977: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_642, 0.0006538353045471013, 38748, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_642 = None 2025-06-05T23:26:40.4270776Z aten_convolution_default_27: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_977, quantized_decomposed_dequantize_per_tensor_default_36, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_977 = quantized_decomposed_dequantize_per_tensor_default_36 = None 2025-06-05T23:26:40.4271803Z quantized_decomposed_quantize_per_tensor_default_643: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_27, 0.000476505549158901, 4992, 0, 65535, torch.int32); aten_convolution_default_27 = None 2025-06-05T23:26:40.4271897Z 2025-06-05T23:26:40.4272319Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.4273907Z quantized_decomposed_dequantize_per_tensor_default_978: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_643, 0.000476505549158901, 4992, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_643 = None 2025-06-05T23:26:40.4274758Z aten_permute_copy_default_163: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_978, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_978 = None 2025-06-05T23:26:40.4275699Z quantized_decomposed_quantize_per_tensor_default_644: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_163, 0.000476505549158901, 4992, 0, 65535, torch.int32); aten_permute_copy_default_163 = None 2025-06-05T23:26:40.4275974Z 2025-06-05T23:26:40.4276534Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.4277688Z quantized_decomposed_dequantize_per_tensor_default_979: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_644, 0.000476505549158901, 4992, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_644 = None 2025-06-05T23:26:40.4278456Z aten_squeeze_copy_dims_43: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_979, [-1]); quantized_decomposed_dequantize_per_tensor_default_979 = None 2025-06-05T23:26:40.4279399Z quantized_decomposed_quantize_per_tensor_default_645: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_43, 0.000476505549158901, 4992, 0, 65535, torch.int32); aten_squeeze_copy_dims_43 = None 2025-06-05T23:26:40.4279476Z 2025-06-05T23:26:40.4279998Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:136 in forward, code: out = h + self.feed_forward(self.ffn_norm(h)) 2025-06-05T23:26:40.4281159Z quantized_decomposed_dequantize_per_tensor_default_980: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_645, 0.000476505549158901, 4992, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_645 = None 2025-06-05T23:26:40.4282304Z aten_add_tensor_19: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_958, quantized_decomposed_dequantize_per_tensor_default_980); quantized_decomposed_dequantize_per_tensor_default_958 = quantized_decomposed_dequantize_per_tensor_default_980 = None 2025-06-05T23:26:40.4283172Z quantized_decomposed_quantize_per_tensor_default_646: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_19, 0.002495231805369258, 6285, 0, 65535, torch.int32); aten_add_tensor_19 = None 2025-06-05T23:26:40.4283250Z 2025-06-05T23:26:40.4283660Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:132 in forward, code: h = x + h 2025-06-05T23:26:40.4284601Z quantized_decomposed_dequantize_per_tensor_default_981: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_646, 0.002495231805369258, 6285, 0, 65535, torch.int32) 2025-06-05T23:26:40.4284678Z 2025-06-05T23:26:40.4285257Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:129 in forward, code: self.attention_norm(x), freqs_cos, freqs_sin, **attn_options 2025-06-05T23:26:40.4286405Z quantized_decomposed_dequantize_per_tensor_default_982: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_646, 0.002495231805369258, 6285, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_646 = None 2025-06-05T23:26:40.4286916Z aten_pow_tensor_scalar_8: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(quantized_decomposed_dequantize_per_tensor_default_982, 2) 2025-06-05T23:26:40.4287411Z aten_mean_dim_8: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_mean_dim(aten_pow_tensor_scalar_8, [2], True); aten_pow_tensor_scalar_8 = None 2025-06-05T23:26:40.4287908Z aten_add_scalar_8: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_add_Scalar(aten_mean_dim_8, 9.999999747378752e-06); aten_mean_dim_8 = None 2025-06-05T23:26:40.4288366Z aten_rsqrt_default_8: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_rsqrt_default(aten_add_scalar_8); aten_add_scalar_8 = None 2025-06-05T23:26:40.4289224Z aten_mul_tensor_60: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_982, aten_rsqrt_default_8); quantized_decomposed_dequantize_per_tensor_default_982 = aten_rsqrt_default_8 = None 2025-06-05T23:26:40.4290044Z aten_mul_tensor_61: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_60, quantized_decomposed_dequantize_per_tensor_default_37); aten_mul_tensor_60 = quantized_decomposed_dequantize_per_tensor_default_37 = None 2025-06-05T23:26:40.4290942Z quantized_decomposed_quantize_per_tensor_default_647: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_61, 0.00039765422116033733, 28522, 0, 65535, torch.int32); aten_mul_tensor_61 = None 2025-06-05T23:26:40.4291052Z 2025-06-05T23:26:40.4291574Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.4292520Z quantized_decomposed_dequantize_per_tensor_default_983: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_647, 0.00039765422116033733, 28522, 0, 65535, torch.int32) 2025-06-05T23:26:40.4293450Z quantized_decomposed_dequantize_per_tensor_default_984: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_647, 0.00039765422116033733, 28522, 0, 65535, torch.int32) 2025-06-05T23:26:40.4294627Z quantized_decomposed_dequantize_per_tensor_default_985: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_647, 0.00039765422116033733, 28522, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_647 = None 2025-06-05T23:26:40.4295493Z aten_unsqueeze_copy_default_44: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_985, -1); quantized_decomposed_dequantize_per_tensor_default_985 = None 2025-06-05T23:26:40.4296471Z quantized_decomposed_quantize_per_tensor_default_648: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_44, 0.00039765422116033733, 28522, 0, 65535, torch.int32); aten_unsqueeze_copy_default_44 = None 2025-06-05T23:26:40.4296564Z 2025-06-05T23:26:40.4296974Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.4298145Z quantized_decomposed_dequantize_per_tensor_default_986: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_648, 0.00039765422116033733, 28522, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_648 = None 2025-06-05T23:26:40.4298973Z aten_permute_copy_default_164: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_986, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_986 = None 2025-06-05T23:26:40.4300006Z quantized_decomposed_quantize_per_tensor_default_649: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_164, 0.00039765422116033733, 28522, 0, 65535, torch.int32); aten_permute_copy_default_164 = None 2025-06-05T23:26:40.4300164Z 2025-06-05T23:26:40.4300533Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.4301712Z quantized_decomposed_dequantize_per_tensor_default_987: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_649, 0.00039765422116033733, 28522, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_649 = None 2025-06-05T23:26:40.4303017Z aten_convolution_default_28: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_987, quantized_decomposed_dequantize_per_tensor_default_38, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_987 = quantized_decomposed_dequantize_per_tensor_default_38 = None 2025-06-05T23:26:40.4303999Z quantized_decomposed_quantize_per_tensor_default_650: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_28, 0.00031367456540465355, 28419, 0, 65535, torch.int32); aten_convolution_default_28 = None 2025-06-05T23:26:40.4304092Z 2025-06-05T23:26:40.4304520Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.4305690Z quantized_decomposed_dequantize_per_tensor_default_988: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_650, 0.00031367456540465355, 28419, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_650 = None 2025-06-05T23:26:40.4306505Z aten_permute_copy_default_165: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_988, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_988 = None 2025-06-05T23:26:40.4307504Z quantized_decomposed_quantize_per_tensor_default_651: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_165, 0.00031367456540465355, 28419, 0, 65535, torch.int32); aten_permute_copy_default_165 = None 2025-06-05T23:26:40.4307581Z 2025-06-05T23:26:40.4308135Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.4309308Z quantized_decomposed_dequantize_per_tensor_default_989: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_651, 0.00031367456540465355, 28419, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_651 = None 2025-06-05T23:26:40.4310084Z aten_squeeze_copy_dims_44: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_989, [-1]); quantized_decomposed_dequantize_per_tensor_default_989 = None 2025-06-05T23:26:40.4311108Z quantized_decomposed_quantize_per_tensor_default_652: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_44, 0.00031367456540465355, 28419, 0, 65535, torch.int32); aten_squeeze_copy_dims_44 = None 2025-06-05T23:26:40.4311186Z 2025-06-05T23:26:40.4311730Z # File: /pytorch/executorch/examples/models/llama/attention.py:405 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim) 2025-06-05T23:26:40.4312926Z quantized_decomposed_dequantize_per_tensor_default_990: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_652, 0.00031367456540465355, 28419, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_652 = None 2025-06-05T23:26:40.4313031Z 2025-06-05T23:26:40.4313567Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.4314380Z aten_unsqueeze_copy_default_45: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_984, -1); quantized_decomposed_dequantize_per_tensor_default_984 = None 2025-06-05T23:26:40.4315347Z quantized_decomposed_quantize_per_tensor_default_653: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_45, 0.00039765422116033733, 28522, 0, 65535, torch.int32); aten_unsqueeze_copy_default_45 = None 2025-06-05T23:26:40.4315471Z 2025-06-05T23:26:40.4315874Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.4317050Z quantized_decomposed_dequantize_per_tensor_default_991: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_653, 0.00039765422116033733, 28522, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_653 = None 2025-06-05T23:26:40.4317867Z aten_permute_copy_default_166: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_991, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_991 = None 2025-06-05T23:26:40.4318819Z quantized_decomposed_quantize_per_tensor_default_654: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_166, 0.00039765422116033733, 28522, 0, 65535, torch.int32); aten_permute_copy_default_166 = None 2025-06-05T23:26:40.4318914Z 2025-06-05T23:26:40.4319274Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.4320464Z quantized_decomposed_dequantize_per_tensor_default_992: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_654, 0.00039765422116033733, 28522, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_654 = None 2025-06-05T23:26:40.4321764Z aten_convolution_default_29: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_992, quantized_decomposed_dequantize_per_tensor_default_39, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_992 = quantized_decomposed_dequantize_per_tensor_default_39 = None 2025-06-05T23:26:40.4322709Z quantized_decomposed_quantize_per_tensor_default_655: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_29, 0.0004061445069964975, 31842, 0, 65535, torch.int32); aten_convolution_default_29 = None 2025-06-05T23:26:40.4322801Z 2025-06-05T23:26:40.4323224Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.4324406Z quantized_decomposed_dequantize_per_tensor_default_993: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_655, 0.0004061445069964975, 31842, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_655 = None 2025-06-05T23:26:40.4325246Z aten_permute_copy_default_167: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_993, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_993 = None 2025-06-05T23:26:40.4326197Z quantized_decomposed_quantize_per_tensor_default_656: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_167, 0.0004061445069964975, 31842, 0, 65535, torch.int32); aten_permute_copy_default_167 = None 2025-06-05T23:26:40.4326273Z 2025-06-05T23:26:40.4326828Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.4328023Z quantized_decomposed_dequantize_per_tensor_default_994: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_656, 0.0004061445069964975, 31842, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_656 = None 2025-06-05T23:26:40.4328809Z aten_squeeze_copy_dims_45: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_994, [-1]); quantized_decomposed_dequantize_per_tensor_default_994 = None 2025-06-05T23:26:40.4329729Z quantized_decomposed_quantize_per_tensor_default_657: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_45, 0.0004061445069964975, 31842, 0, 65535, torch.int32); aten_squeeze_copy_dims_45 = None 2025-06-05T23:26:40.4329819Z 2025-06-05T23:26:40.4330364Z # File: /pytorch/executorch/examples/models/llama/attention.py:406 in forward, code: k = k.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim) 2025-06-05T23:26:40.4331523Z quantized_decomposed_dequantize_per_tensor_default_995: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_657, 0.0004061445069964975, 31842, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_657 = None 2025-06-05T23:26:40.4331603Z 2025-06-05T23:26:40.4332165Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.4332973Z aten_unsqueeze_copy_default_46: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_983, -1); quantized_decomposed_dequantize_per_tensor_default_983 = None 2025-06-05T23:26:40.4333952Z quantized_decomposed_quantize_per_tensor_default_658: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_46, 0.00039765422116033733, 28522, 0, 65535, torch.int32); aten_unsqueeze_copy_default_46 = None 2025-06-05T23:26:40.4334042Z 2025-06-05T23:26:40.4334445Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.4335613Z quantized_decomposed_dequantize_per_tensor_default_996: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_658, 0.00039765422116033733, 28522, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_658 = None 2025-06-05T23:26:40.4336456Z aten_permute_copy_default_168: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_996, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_996 = None 2025-06-05T23:26:40.4337438Z quantized_decomposed_quantize_per_tensor_default_659: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_168, 0.00039765422116033733, 28522, 0, 65535, torch.int32); aten_permute_copy_default_168 = None 2025-06-05T23:26:40.4337526Z 2025-06-05T23:26:40.4337890Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.4339069Z quantized_decomposed_dequantize_per_tensor_default_997: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_659, 0.00039765422116033733, 28522, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_659 = None 2025-06-05T23:26:40.4340439Z aten_convolution_default_30: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_997, quantized_decomposed_dequantize_per_tensor_default_40, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_997 = quantized_decomposed_dequantize_per_tensor_default_40 = None 2025-06-05T23:26:40.4341385Z quantized_decomposed_quantize_per_tensor_default_660: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_30, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_convolution_default_30 = None 2025-06-05T23:26:40.4341477Z 2025-06-05T23:26:40.4341898Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.4343068Z quantized_decomposed_dequantize_per_tensor_default_998: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_660, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_660 = None 2025-06-05T23:26:40.4343910Z aten_permute_copy_default_169: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_998, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_998 = None 2025-06-05T23:26:40.4344868Z quantized_decomposed_quantize_per_tensor_default_661: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_169, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_permute_copy_default_169 = None 2025-06-05T23:26:40.4344946Z 2025-06-05T23:26:40.4345504Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.4346672Z quantized_decomposed_dequantize_per_tensor_default_999: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_661, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_661 = None 2025-06-05T23:26:40.4347443Z aten_squeeze_copy_dims_46: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_999, [-1]); quantized_decomposed_dequantize_per_tensor_default_999 = None 2025-06-05T23:26:40.4348364Z quantized_decomposed_quantize_per_tensor_default_662: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_46, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_squeeze_copy_dims_46 = None 2025-06-05T23:26:40.4348474Z 2025-06-05T23:26:40.4349048Z # File: /pytorch/executorch/examples/models/llama/attention.py:407 in forward, code: v = v.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim) 2025-06-05T23:26:40.4350214Z quantized_decomposed_dequantize_per_tensor_default_1000: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_662, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_662 = None 2025-06-05T23:26:40.4350293Z 2025-06-05T23:26:40.4350901Z # File: /pytorch/executorch/examples/models/llama/attention.py:405 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim) 2025-06-05T23:26:40.4351706Z aten_view_copy_default_72: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_990, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_990 = None 2025-06-05T23:26:40.4352623Z quantized_decomposed_quantize_per_tensor_default_663: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_72, 0.00031367456540465355, 28419, 0, 65535, torch.int32); aten_view_copy_default_72 = None 2025-06-05T23:26:40.4352718Z 2025-06-05T23:26:40.4353247Z # File: /pytorch/executorch/examples/models/llama/rope.py:84 in apply_rotary_emb, code: xq_r, xq_i = xq.float().reshape(xq.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.4354424Z quantized_decomposed_dequantize_per_tensor_default_1001: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_663, 0.00031367456540465355, 28419, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_663 = None 2025-06-05T23:26:40.4354507Z 2025-06-05T23:26:40.4355034Z # File: /pytorch/executorch/examples/models/llama/attention.py:406 in forward, code: k = k.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim) 2025-06-05T23:26:40.4355839Z aten_view_copy_default_73: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_995, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_995 = None 2025-06-05T23:26:40.4356748Z quantized_decomposed_quantize_per_tensor_default_664: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_73, 0.0004061445069964975, 31842, 0, 65535, torch.int32); aten_view_copy_default_73 = None 2025-06-05T23:26:40.4356830Z 2025-06-05T23:26:40.4357368Z # File: /pytorch/executorch/examples/models/llama/rope.py:85 in apply_rotary_emb, code: xk_r, xk_i = xk.float().reshape(xk.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.4358526Z quantized_decomposed_dequantize_per_tensor_default_1002: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_664, 0.0004061445069964975, 31842, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_664 = None 2025-06-05T23:26:40.4358601Z 2025-06-05T23:26:40.4359138Z # File: /pytorch/executorch/examples/models/llama/attention.py:407 in forward, code: v = v.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim) 2025-06-05T23:26:40.4359914Z aten_view_copy_default_74: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1000, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_1000 = None 2025-06-05T23:26:40.4360870Z quantized_decomposed_quantize_per_tensor_default_665: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_74, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_view_copy_default_74 = None 2025-06-05T23:26:40.4360982Z 2025-06-05T23:26:40.4361659Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:511 in update, code: v_out = torch.ops.aten.index_put_(self.past_v_caches, [None, input_pos], v_val) 2025-06-05T23:26:40.4362843Z quantized_decomposed_dequantize_per_tensor_default_1003: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_665, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_665 = None 2025-06-05T23:26:40.4362950Z 2025-06-05T23:26:40.4363476Z # File: /pytorch/executorch/examples/models/llama/rope.py:84 in apply_rotary_emb, code: xq_r, xq_i = xq.float().reshape(xq.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.4364270Z aten_view_copy_default_75: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1001, [1, 1, 12, -1, 2]); quantized_decomposed_dequantize_per_tensor_default_1001 = None 2025-06-05T23:26:40.4365188Z quantized_decomposed_quantize_per_tensor_default_666: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_75, 0.00031367456540465355, 28419, 0, 65535, torch.int32); aten_view_copy_default_75 = None 2025-06-05T23:26:40.4366357Z quantized_decomposed_dequantize_per_tensor_default_1004: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_666, 0.00031367456540465355, 28419, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_666 = None 2025-06-05T23:26:40.4366909Z aten_slice_copy_tensor_16: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_1004, 4, 0, 1) 2025-06-05T23:26:40.4367700Z aten_slice_copy_tensor_17: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_1004, 4, 1, 2); quantized_decomposed_dequantize_per_tensor_default_1004 = None 2025-06-05T23:26:40.4368227Z aten_squeeze_copy_dims_47: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_16, [4]); aten_slice_copy_tensor_16 = None 2025-06-05T23:26:40.4368743Z aten_squeeze_copy_dims_48: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_17, [4]); aten_slice_copy_tensor_17 = None 2025-06-05T23:26:40.4369661Z quantized_decomposed_quantize_per_tensor_default_667: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_47, 0.00031367456540465355, 28419, 0, 65535, torch.int32); aten_squeeze_copy_dims_47 = None 2025-06-05T23:26:40.4369752Z 2025-06-05T23:26:40.4370232Z # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos 2025-06-05T23:26:40.4371163Z quantized_decomposed_dequantize_per_tensor_default_1005: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_667, 0.00031367456540465355, 28419, 0, 65535, torch.int32) 2025-06-05T23:26:40.4371251Z 2025-06-05T23:26:40.4371722Z # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin 2025-06-05T23:26:40.4373267Z quantized_decomposed_dequantize_per_tensor_default_1006: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_667, 0.00031367456540465355, 28419, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_667 = None 2025-06-05T23:26:40.4373367Z 2025-06-05T23:26:40.4373900Z # File: /pytorch/executorch/examples/models/llama/rope.py:84 in apply_rotary_emb, code: xq_r, xq_i = xq.float().reshape(xq.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.4374817Z quantized_decomposed_quantize_per_tensor_default_668: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_48, 0.00031367456540465355, 28419, 0, 65535, torch.int32); aten_squeeze_copy_dims_48 = None 2025-06-05T23:26:40.4374945Z 2025-06-05T23:26:40.4375421Z # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin 2025-06-05T23:26:40.4376370Z quantized_decomposed_dequantize_per_tensor_default_1007: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_668, 0.00031367456540465355, 28419, 0, 65535, torch.int32) 2025-06-05T23:26:40.4376447Z 2025-06-05T23:26:40.4376914Z # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos 2025-06-05T23:26:40.4378085Z quantized_decomposed_dequantize_per_tensor_default_1008: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_668, 0.00031367456540465355, 28419, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_668 = None 2025-06-05T23:26:40.4378166Z 2025-06-05T23:26:40.4378683Z # File: /pytorch/executorch/examples/models/llama/rope.py:85 in apply_rotary_emb, code: xk_r, xk_i = xk.float().reshape(xk.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.4379514Z aten_view_copy_default_76: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1002, [1, 1, 12, -1, 2]); quantized_decomposed_dequantize_per_tensor_default_1002 = None 2025-06-05T23:26:40.4380431Z quantized_decomposed_quantize_per_tensor_default_669: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_76, 0.0004061445069964975, 31842, 0, 65535, torch.int32); aten_view_copy_default_76 = None 2025-06-05T23:26:40.4381591Z quantized_decomposed_dequantize_per_tensor_default_1009: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_669, 0.0004061445069964975, 31842, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_669 = None 2025-06-05T23:26:40.4382138Z aten_slice_copy_tensor_18: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_1009, 4, 0, 1) 2025-06-05T23:26:40.4382901Z aten_slice_copy_tensor_19: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_1009, 4, 1, 2); quantized_decomposed_dequantize_per_tensor_default_1009 = None 2025-06-05T23:26:40.4383432Z aten_squeeze_copy_dims_49: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_18, [4]); aten_slice_copy_tensor_18 = None 2025-06-05T23:26:40.4383976Z aten_squeeze_copy_dims_50: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_19, [4]); aten_slice_copy_tensor_19 = None 2025-06-05T23:26:40.4384937Z quantized_decomposed_quantize_per_tensor_default_670: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_49, 0.0004061445069964975, 31842, 0, 65535, torch.int32); aten_squeeze_copy_dims_49 = None 2025-06-05T23:26:40.4385024Z 2025-06-05T23:26:40.4385501Z # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos 2025-06-05T23:26:40.4386423Z quantized_decomposed_dequantize_per_tensor_default_1010: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_670, 0.0004061445069964975, 31842, 0, 65535, torch.int32) 2025-06-05T23:26:40.4386539Z 2025-06-05T23:26:40.4387013Z # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin 2025-06-05T23:26:40.4388174Z quantized_decomposed_dequantize_per_tensor_default_1011: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_670, 0.0004061445069964975, 31842, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_670 = None 2025-06-05T23:26:40.4388262Z 2025-06-05T23:26:40.4388781Z # File: /pytorch/executorch/examples/models/llama/rope.py:85 in apply_rotary_emb, code: xk_r, xk_i = xk.float().reshape(xk.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.4389694Z quantized_decomposed_quantize_per_tensor_default_671: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_50, 0.0004061445069964975, 31842, 0, 65535, torch.int32); aten_squeeze_copy_dims_50 = None 2025-06-05T23:26:40.4389786Z 2025-06-05T23:26:40.4390257Z # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin 2025-06-05T23:26:40.4391298Z quantized_decomposed_dequantize_per_tensor_default_1012: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_671, 0.0004061445069964975, 31842, 0, 65535, torch.int32) 2025-06-05T23:26:40.4391376Z 2025-06-05T23:26:40.4391843Z # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos 2025-06-05T23:26:40.4393013Z quantized_decomposed_dequantize_per_tensor_default_1013: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_671, 0.0004061445069964975, 31842, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_671 = None 2025-06-05T23:26:40.4393089Z 2025-06-05T23:26:40.4393522Z # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape) 2025-06-05T23:26:40.4394299Z aten_view_copy_default_77: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_158, [1, 1, 1, 32]); quantized_decomposed_dequantize_per_tensor_default_158 = None 2025-06-05T23:26:40.4395207Z quantized_decomposed_quantize_per_tensor_default_672: "i32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_77, 3.051804378628731e-05, 32768, 0, 65535, torch.int32); aten_view_copy_default_77 = None 2025-06-05T23:26:40.4395313Z 2025-06-05T23:26:40.4395818Z # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos 2025-06-05T23:26:40.4396749Z quantized_decomposed_dequantize_per_tensor_default_1014: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_672, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-06-05T23:26:40.4396823Z 2025-06-05T23:26:40.4397306Z # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin 2025-06-05T23:26:40.4398232Z quantized_decomposed_dequantize_per_tensor_default_1015: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_672, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-06-05T23:26:40.4398334Z 2025-06-05T23:26:40.4398812Z # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos 2025-06-05T23:26:40.4399742Z quantized_decomposed_dequantize_per_tensor_default_1016: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_672, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-06-05T23:26:40.4399818Z 2025-06-05T23:26:40.4400298Z # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin 2025-06-05T23:26:40.4401452Z quantized_decomposed_dequantize_per_tensor_default_1017: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_672, 3.051804378628731e-05, 32768, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_672 = None 2025-06-05T23:26:40.4401531Z 2025-06-05T23:26:40.4401982Z # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape) 2025-06-05T23:26:40.4402771Z aten_view_copy_default_78: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_170, [1, 1, 1, 32]); quantized_decomposed_dequantize_per_tensor_default_170 = None 2025-06-05T23:26:40.4403683Z quantized_decomposed_quantize_per_tensor_default_673: "i32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_78, 3.051786916330457e-05, 32767, 0, 65535, torch.int32); aten_view_copy_default_78 = None 2025-06-05T23:26:40.4403762Z 2025-06-05T23:26:40.4404237Z # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin 2025-06-05T23:26:40.4405176Z quantized_decomposed_dequantize_per_tensor_default_1018: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_673, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-06-05T23:26:40.4405254Z 2025-06-05T23:26:40.4405724Z # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos 2025-06-05T23:26:40.4406662Z quantized_decomposed_dequantize_per_tensor_default_1019: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_673, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-06-05T23:26:40.4406738Z 2025-06-05T23:26:40.4407256Z # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin 2025-06-05T23:26:40.4408200Z quantized_decomposed_dequantize_per_tensor_default_1020: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_673, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-06-05T23:26:40.4408274Z 2025-06-05T23:26:40.4408743Z # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos 2025-06-05T23:26:40.4409915Z quantized_decomposed_dequantize_per_tensor_default_1021: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_673, 3.051786916330457e-05, 32767, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_673 = None 2025-06-05T23:26:40.4410017Z 2025-06-05T23:26:40.4410487Z # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin 2025-06-05T23:26:40.4411648Z aten_mul_tensor_62: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1006, quantized_decomposed_dequantize_per_tensor_default_1017); quantized_decomposed_dequantize_per_tensor_default_1006 = quantized_decomposed_dequantize_per_tensor_default_1017 = None 2025-06-05T23:26:40.4412516Z quantized_decomposed_quantize_per_tensor_default_674: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_62, 0.0003092595434281975, 28515, 0, 65535, torch.int32); aten_mul_tensor_62 = None 2025-06-05T23:26:40.4413687Z quantized_decomposed_dequantize_per_tensor_default_1022: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_674, 0.0003092595434281975, 28515, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_674 = None 2025-06-05T23:26:40.4414854Z aten_mul_tensor_63: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1007, quantized_decomposed_dequantize_per_tensor_default_1020); quantized_decomposed_dequantize_per_tensor_default_1007 = quantized_decomposed_dequantize_per_tensor_default_1020 = None 2025-06-05T23:26:40.4415722Z quantized_decomposed_quantize_per_tensor_default_675: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_63, 0.00020828904234804213, 31612, 0, 65535, torch.int32); aten_mul_tensor_63 = None 2025-06-05T23:26:40.4416896Z quantized_decomposed_dequantize_per_tensor_default_1023: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_675, 0.00020828904234804213, 31612, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_675 = None 2025-06-05T23:26:40.4418036Z aten_sub_tensor_8: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(quantized_decomposed_dequantize_per_tensor_default_1022, quantized_decomposed_dequantize_per_tensor_default_1023); quantized_decomposed_dequantize_per_tensor_default_1022 = quantized_decomposed_dequantize_per_tensor_default_1023 = None 2025-06-05T23:26:40.4418908Z quantized_decomposed_quantize_per_tensor_default_676: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sub_tensor_8, 0.00030704005621373653, 28921, 0, 65535, torch.int32); aten_sub_tensor_8 = None 2025-06-05T23:26:40.4418985Z 2025-06-05T23:26:40.4419988Z # File: .74:2573 in forward, code: dequantize_per_tensor_default_829 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_829, 0.00030704005621373653, 28921, 0, 65535, torch.int32); quantize_per_tensor_default_829 = None 2025-06-05T23:26:40.4421167Z quantized_decomposed_dequantize_per_tensor_default_1024: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_676, 0.00030704005621373653, 28921, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_676 = None 2025-06-05T23:26:40.4421244Z 2025-06-05T23:26:40.4421732Z # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos 2025-06-05T23:26:40.4422910Z aten_mul_tensor_64: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1005, quantized_decomposed_dequantize_per_tensor_default_1021); quantized_decomposed_dequantize_per_tensor_default_1005 = quantized_decomposed_dequantize_per_tensor_default_1021 = None 2025-06-05T23:26:40.4423776Z quantized_decomposed_quantize_per_tensor_default_677: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_64, 0.00016941409558057785, 33259, 0, 65535, torch.int32); aten_mul_tensor_64 = None 2025-06-05T23:26:40.4424958Z quantized_decomposed_dequantize_per_tensor_default_1025: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_677, 0.00016941409558057785, 33259, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_677 = None 2025-06-05T23:26:40.4426115Z aten_mul_tensor_65: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1008, quantized_decomposed_dequantize_per_tensor_default_1016); quantized_decomposed_dequantize_per_tensor_default_1008 = quantized_decomposed_dequantize_per_tensor_default_1016 = None 2025-06-05T23:26:40.4427008Z quantized_decomposed_quantize_per_tensor_default_678: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_65, 0.00029095596983097494, 29320, 0, 65535, torch.int32); aten_mul_tensor_65 = None 2025-06-05T23:26:40.4428169Z quantized_decomposed_dequantize_per_tensor_default_1026: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_678, 0.00029095596983097494, 29320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_678 = None 2025-06-05T23:26:40.4429332Z aten_add_tensor_20: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_1025, quantized_decomposed_dequantize_per_tensor_default_1026); quantized_decomposed_dequantize_per_tensor_default_1025 = quantized_decomposed_dequantize_per_tensor_default_1026 = None 2025-06-05T23:26:40.4430199Z quantized_decomposed_quantize_per_tensor_default_679: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_20, 0.00030704005621373653, 28921, 0, 65535, torch.int32); aten_add_tensor_20 = None 2025-06-05T23:26:40.4430274Z 2025-06-05T23:26:40.4431320Z # File: .74:2582 in forward, code: dequantize_per_tensor_default_832 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_832, 0.00030704005621373653, 28921, 0, 65535, torch.int32); quantize_per_tensor_default_832 = None 2025-06-05T23:26:40.4432555Z quantized_decomposed_dequantize_per_tensor_default_1027: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_679, 0.00030704005621373653, 28921, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_679 = None 2025-06-05T23:26:40.4432659Z 2025-06-05T23:26:40.4433154Z # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin 2025-06-05T23:26:40.4434300Z aten_mul_tensor_66: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1011, quantized_decomposed_dequantize_per_tensor_default_1015); quantized_decomposed_dequantize_per_tensor_default_1011 = quantized_decomposed_dequantize_per_tensor_default_1015 = None 2025-06-05T23:26:40.4435209Z quantized_decomposed_quantize_per_tensor_default_680: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_66, 0.0003889426589012146, 30723, 0, 65535, torch.int32); aten_mul_tensor_66 = None 2025-06-05T23:26:40.4436375Z quantized_decomposed_dequantize_per_tensor_default_1028: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_680, 0.0003889426589012146, 30723, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_680 = None 2025-06-05T23:26:40.4437515Z aten_mul_tensor_67: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1012, quantized_decomposed_dequantize_per_tensor_default_1018); quantized_decomposed_dequantize_per_tensor_default_1012 = quantized_decomposed_dequantize_per_tensor_default_1018 = None 2025-06-05T23:26:40.4438393Z quantized_decomposed_quantize_per_tensor_default_681: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_67, 0.00020149449119344354, 31475, 0, 65535, torch.int32); aten_mul_tensor_67 = None 2025-06-05T23:26:40.4439580Z quantized_decomposed_dequantize_per_tensor_default_1029: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_681, 0.00020149449119344354, 31475, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_681 = None 2025-06-05T23:26:40.4440739Z aten_sub_tensor_9: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(quantized_decomposed_dequantize_per_tensor_default_1028, quantized_decomposed_dequantize_per_tensor_default_1029); quantized_decomposed_dequantize_per_tensor_default_1028 = quantized_decomposed_dequantize_per_tensor_default_1029 = None 2025-06-05T23:26:40.4441606Z quantized_decomposed_quantize_per_tensor_default_682: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sub_tensor_9, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_sub_tensor_9 = None 2025-06-05T23:26:40.4441684Z 2025-06-05T23:26:40.4442648Z # File: .74:2591 in forward, code: dequantize_per_tensor_default_835 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_835, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantize_per_tensor_default_835 = None 2025-06-05T23:26:40.4443806Z quantized_decomposed_dequantize_per_tensor_default_1030: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_682, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_682 = None 2025-06-05T23:26:40.4443898Z 2025-06-05T23:26:40.4444423Z # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos 2025-06-05T23:26:40.4445569Z aten_mul_tensor_68: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1010, quantized_decomposed_dequantize_per_tensor_default_1019); quantized_decomposed_dequantize_per_tensor_default_1010 = quantized_decomposed_dequantize_per_tensor_default_1019 = None 2025-06-05T23:26:40.4446449Z quantized_decomposed_quantize_per_tensor_default_683: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_68, 0.00017219017900060862, 30798, 0, 65535, torch.int32); aten_mul_tensor_68 = None 2025-06-05T23:26:40.4447620Z quantized_decomposed_dequantize_per_tensor_default_1031: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_683, 0.00017219017900060862, 30798, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_683 = None 2025-06-05T23:26:40.4448814Z aten_mul_tensor_69: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1013, quantized_decomposed_dequantize_per_tensor_default_1014); quantized_decomposed_dequantize_per_tensor_default_1013 = quantized_decomposed_dequantize_per_tensor_default_1014 = None 2025-06-05T23:26:40.4449680Z quantized_decomposed_quantize_per_tensor_default_684: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_69, 0.0003756027726922184, 33266, 0, 65535, torch.int32); aten_mul_tensor_69 = None 2025-06-05T23:26:40.4450836Z quantized_decomposed_dequantize_per_tensor_default_1032: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_684, 0.0003756027726922184, 33266, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_684 = None 2025-06-05T23:26:40.4452020Z aten_add_tensor_21: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_1031, quantized_decomposed_dequantize_per_tensor_default_1032); quantized_decomposed_dequantize_per_tensor_default_1031 = quantized_decomposed_dequantize_per_tensor_default_1032 = None 2025-06-05T23:26:40.4452881Z quantized_decomposed_quantize_per_tensor_default_685: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_21, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_add_tensor_21 = None 2025-06-05T23:26:40.4452972Z 2025-06-05T23:26:40.4453924Z # File: .74:2600 in forward, code: dequantize_per_tensor_default_838 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_838, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantize_per_tensor_default_838 = None 2025-06-05T23:26:40.4455086Z quantized_decomposed_dequantize_per_tensor_default_1033: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_685, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_685 = None 2025-06-05T23:26:40.4455177Z 2025-06-05T23:26:40.4455700Z # File: /pytorch/executorch/examples/models/llama/rope.py:95 in apply_rotary_emb, code: xq_out = torch.stack([xq_out_r, xq_out_i], dim=-1).flatten(3) 2025-06-05T23:26:40.4456535Z aten_unsqueeze_copy_default_47: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1024, 4); quantized_decomposed_dequantize_per_tensor_default_1024 = None 2025-06-05T23:26:40.4457378Z aten_unsqueeze_copy_default_48: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1027, 4); quantized_decomposed_dequantize_per_tensor_default_1027 = None 2025-06-05T23:26:40.4458123Z aten_cat_default_16: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_unsqueeze_copy_default_47, aten_unsqueeze_copy_default_48], -1); aten_unsqueeze_copy_default_47 = aten_unsqueeze_copy_default_48 = None 2025-06-05T23:26:40.4459011Z quantized_decomposed_quantize_per_tensor_default_686: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_16, 0.00030704005621373653, 28921, 0, 65535, torch.int32); aten_cat_default_16 = None 2025-06-05T23:26:40.4460198Z quantized_decomposed_dequantize_per_tensor_default_1034: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_686, 0.00030704005621373653, 28921, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_686 = None 2025-06-05T23:26:40.4460973Z aten_view_copy_default_79: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1034, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_1034 = None 2025-06-05T23:26:40.4461899Z quantized_decomposed_quantize_per_tensor_default_687: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_79, 0.00030704005621373653, 28921, 0, 65535, torch.int32); aten_view_copy_default_79 = None 2025-06-05T23:26:40.4461977Z 2025-06-05T23:26:40.4462941Z # File: .74:2606 in forward, code: dequantize_per_tensor_default_840 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_840, 0.00030704005621373653, 28921, 0, 65535, torch.int32); quantize_per_tensor_default_840 = None 2025-06-05T23:26:40.4464146Z quantized_decomposed_dequantize_per_tensor_default_1035: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_687, 0.00030704005621373653, 28921, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_687 = None 2025-06-05T23:26:40.4464222Z 2025-06-05T23:26:40.4464757Z # File: /pytorch/executorch/examples/models/llama/rope.py:96 in apply_rotary_emb, code: xk_out = torch.stack([xk_out_r, xk_out_i], dim=-1).flatten(3) 2025-06-05T23:26:40.4465565Z aten_unsqueeze_copy_default_49: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1030, 4); quantized_decomposed_dequantize_per_tensor_default_1030 = None 2025-06-05T23:26:40.4466359Z aten_unsqueeze_copy_default_50: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1033, 4); quantized_decomposed_dequantize_per_tensor_default_1033 = None 2025-06-05T23:26:40.4467111Z aten_cat_default_17: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_unsqueeze_copy_default_49, aten_unsqueeze_copy_default_50], -1); aten_unsqueeze_copy_default_49 = aten_unsqueeze_copy_default_50 = None 2025-06-05T23:26:40.4467979Z quantized_decomposed_quantize_per_tensor_default_688: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_17, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_cat_default_17 = None 2025-06-05T23:26:40.4469212Z quantized_decomposed_dequantize_per_tensor_default_1036: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_688, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_688 = None 2025-06-05T23:26:40.4469984Z aten_view_copy_default_80: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1036, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_1036 = None 2025-06-05T23:26:40.4470968Z quantized_decomposed_quantize_per_tensor_default_689: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_80, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_view_copy_default_80 = None 2025-06-05T23:26:40.4471092Z 2025-06-05T23:26:40.4472042Z # File: .74:2612 in forward, code: dequantize_per_tensor_default_842 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_842, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantize_per_tensor_default_842 = None 2025-06-05T23:26:40.4473473Z quantized_decomposed_dequantize_per_tensor_default_1037: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_689, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_689 = None 2025-06-05T23:26:40.4473549Z 2025-06-05T23:26:40.4474309Z # File: .74:2614 in forward, code: quantize_per_tensor_default_843 = torch.ops.quantized_decomposed.quantize_per_tensor.default(type_as_8, 0.00030704005621373653, 28921, 0, 65535, torch.int32); type_as_8 = None 2025-06-05T23:26:40.4475499Z quantized_decomposed_quantize_per_tensor_default_690: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_1035, 0.00030704005621373653, 28921, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_1035 = None 2025-06-05T23:26:40.4475576Z 2025-06-05T23:26:40.4476207Z # File: /pytorch/executorch/examples/models/llama/attention.py:416 in forward, code: q = q.transpose(1, 2) # (bs, n_local_heads, seqlen, head_dim) 2025-06-05T23:26:40.4477388Z quantized_decomposed_dequantize_per_tensor_default_1038: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_690, 0.00030704005621373653, 28921, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_690 = None 2025-06-05T23:26:40.4477464Z 2025-06-05T23:26:40.4478229Z # File: .74:2617 in forward, code: quantize_per_tensor_default_844 = torch.ops.quantized_decomposed.quantize_per_tensor.default(type_as_9, 0.00040260335663333535, 31896, 0, 65535, torch.int32); type_as_9 = None 2025-06-05T23:26:40.4479408Z quantized_decomposed_quantize_per_tensor_default_691: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_1037, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_1037 = None 2025-06-05T23:26:40.4479483Z 2025-06-05T23:26:40.4480185Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:510 in update, code: k_out = torch.ops.aten.index_put_(self.past_k_caches, [None, input_pos], k_val) 2025-06-05T23:26:40.4481396Z quantized_decomposed_dequantize_per_tensor_default_1039: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_691, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_691 = None 2025-06-05T23:26:40.4481510Z 2025-06-05T23:26:40.4482052Z # File: /pytorch/executorch/examples/models/llama/attention.py:416 in forward, code: q = q.transpose(1, 2) # (bs, n_local_heads, seqlen, head_dim) 2025-06-05T23:26:40.4482856Z aten_permute_copy_default_170: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1038, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1038 = None 2025-06-05T23:26:40.4483803Z quantized_decomposed_quantize_per_tensor_default_692: "i32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_170, 0.00030704005621373653, 28921, 0, 65535, torch.int32); aten_permute_copy_default_170 = None 2025-06-05T23:26:40.4483935Z 2025-06-05T23:26:40.4484520Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:324 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-06-05T23:26:40.4485683Z quantized_decomposed_dequantize_per_tensor_default_1040: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_692, 0.00030704005621373653, 28921, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_692 = None 2025-06-05T23:26:40.4485775Z 2025-06-05T23:26:40.4486206Z # File: /pytorch/executorch/examples/models/llama/attention.py:435 in forward, code: attn_mask = self.mask[input_pos] 2025-06-05T23:26:40.4487026Z aten_index_tensor_6: "f32[1, 128]" = executorch_exir_dialects_edge__ops_aten_index_Tensor(quantized_decomposed_dequantize_per_tensor_default_125, [attn_options_input_pos]); quantized_decomposed_dequantize_per_tensor_default_125 = None 2025-06-05T23:26:40.4487899Z quantized_decomposed_quantize_per_tensor_default_693: "i32[1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_tensor_6, 0.0038910505827516317, 65535, 0, 65535, torch.int32); aten_index_tensor_6 = None 2025-06-05T23:26:40.4487974Z 2025-06-05T23:26:40.4488493Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:325 in forward, code: attn_weight += attn_mask 2025-06-05T23:26:40.4489654Z quantized_decomposed_dequantize_per_tensor_default_1041: "f32[1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_693, 0.0038910505827516317, 65535, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_693 = None 2025-06-05T23:26:40.4489734Z 2025-06-05T23:26:40.4490421Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:510 in update, code: k_out = torch.ops.aten.index_put_(self.past_k_caches, [None, input_pos], k_val) 2025-06-05T23:26:40.4491728Z aten_index_put_default_8: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(quantized_decomposed_dequantize_per_tensor_default_126, [None, attn_options_input_pos], quantized_decomposed_dequantize_per_tensor_default_1039); quantized_decomposed_dequantize_per_tensor_default_126 = quantized_decomposed_dequantize_per_tensor_default_1039 = None 2025-06-05T23:26:40.4492650Z quantized_decomposed_quantize_per_tensor_default_694: "i32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_put_default_8, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_index_put_default_8 = None 2025-06-05T23:26:40.4492739Z 2025-06-05T23:26:40.4493587Z # File: .74:2627 in forward, code: dequantize_per_tensor_default_847 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_847, 0.00040260335663333535, 31896, 0, 65535, torch.int32) 2025-06-05T23:26:40.4494536Z quantized_decomposed_dequantize_per_tensor_default_1042: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_694, 0.00040260335663333535, 31896, 0, 65535, torch.int32) 2025-06-05T23:26:40.4494613Z 2025-06-05T23:26:40.4495254Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.4496199Z quantized_decomposed_dequantize_per_tensor_default_1043: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_694, 0.00040260335663333535, 31896, 0, 65535, torch.int32) 2025-06-05T23:26:40.4497161Z quantized_decomposed_dequantize_per_tensor_default_1044: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_694, 0.00040260335663333535, 31896, 0, 65535, torch.int32) 2025-06-05T23:26:40.4498091Z quantized_decomposed_dequantize_per_tensor_default_1045: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_694, 0.00040260335663333535, 31896, 0, 65535, torch.int32) 2025-06-05T23:26:40.4499039Z quantized_decomposed_dequantize_per_tensor_default_1046: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_694, 0.00040260335663333535, 31896, 0, 65535, torch.int32) 2025-06-05T23:26:40.4499973Z quantized_decomposed_dequantize_per_tensor_default_1047: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_694, 0.00040260335663333535, 31896, 0, 65535, torch.int32) 2025-06-05T23:26:40.4500975Z quantized_decomposed_dequantize_per_tensor_default_1048: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_694, 0.00040260335663333535, 31896, 0, 65535, torch.int32) 2025-06-05T23:26:40.4501905Z quantized_decomposed_dequantize_per_tensor_default_1049: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_694, 0.00040260335663333535, 31896, 0, 65535, torch.int32) 2025-06-05T23:26:40.4502839Z quantized_decomposed_dequantize_per_tensor_default_1050: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_694, 0.00040260335663333535, 31896, 0, 65535, torch.int32) 2025-06-05T23:26:40.4503784Z quantized_decomposed_dequantize_per_tensor_default_1051: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_694, 0.00040260335663333535, 31896, 0, 65535, torch.int32) 2025-06-05T23:26:40.4504717Z quantized_decomposed_dequantize_per_tensor_default_1052: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_694, 0.00040260335663333535, 31896, 0, 65535, torch.int32) 2025-06-05T23:26:40.4505695Z quantized_decomposed_dequantize_per_tensor_default_1053: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_694, 0.00040260335663333535, 31896, 0, 65535, torch.int32) 2025-06-05T23:26:40.4506894Z quantized_decomposed_dequantize_per_tensor_default_1054: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_694, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_694 = None 2025-06-05T23:26:40.4506986Z 2025-06-05T23:26:40.4507663Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:511 in update, code: v_out = torch.ops.aten.index_put_(self.past_v_caches, [None, input_pos], v_val) 2025-06-05T23:26:40.4509006Z aten_index_put_default_9: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(quantized_decomposed_dequantize_per_tensor_default_127, [None, attn_options_input_pos], quantized_decomposed_dequantize_per_tensor_default_1003); quantized_decomposed_dequantize_per_tensor_default_127 = quantized_decomposed_dequantize_per_tensor_default_1003 = None 2025-06-05T23:26:40.4509936Z quantized_decomposed_quantize_per_tensor_default_695: "i32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_put_default_9, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_index_put_default_9 = None 2025-06-05T23:26:40.4510012Z 2025-06-05T23:26:40.4510883Z # File: .74:2642 in forward, code: dequantize_per_tensor_default_848 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_848, 0.00012666585098486394, 35736, 0, 65535, torch.int32) 2025-06-05T23:26:40.4511846Z quantized_decomposed_dequantize_per_tensor_default_1055: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_695, 0.00012666585098486394, 35736, 0, 65535, torch.int32) 2025-06-05T23:26:40.4511924Z 2025-06-05T23:26:40.4512567Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.4513548Z quantized_decomposed_dequantize_per_tensor_default_1056: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_695, 0.00012666585098486394, 35736, 0, 65535, torch.int32) 2025-06-05T23:26:40.4514487Z quantized_decomposed_dequantize_per_tensor_default_1057: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_695, 0.00012666585098486394, 35736, 0, 65535, torch.int32) 2025-06-05T23:26:40.4515444Z quantized_decomposed_dequantize_per_tensor_default_1058: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_695, 0.00012666585098486394, 35736, 0, 65535, torch.int32) 2025-06-05T23:26:40.4516375Z quantized_decomposed_dequantize_per_tensor_default_1059: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_695, 0.00012666585098486394, 35736, 0, 65535, torch.int32) 2025-06-05T23:26:40.4517313Z quantized_decomposed_dequantize_per_tensor_default_1060: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_695, 0.00012666585098486394, 35736, 0, 65535, torch.int32) 2025-06-05T23:26:40.4518313Z quantized_decomposed_dequantize_per_tensor_default_1061: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_695, 0.00012666585098486394, 35736, 0, 65535, torch.int32) 2025-06-05T23:26:40.4519240Z quantized_decomposed_dequantize_per_tensor_default_1062: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_695, 0.00012666585098486394, 35736, 0, 65535, torch.int32) 2025-06-05T23:26:40.4520178Z quantized_decomposed_dequantize_per_tensor_default_1063: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_695, 0.00012666585098486394, 35736, 0, 65535, torch.int32) 2025-06-05T23:26:40.4521144Z quantized_decomposed_dequantize_per_tensor_default_1064: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_695, 0.00012666585098486394, 35736, 0, 65535, torch.int32) 2025-06-05T23:26:40.4522090Z quantized_decomposed_dequantize_per_tensor_default_1065: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_695, 0.00012666585098486394, 35736, 0, 65535, torch.int32) 2025-06-05T23:26:40.4523019Z quantized_decomposed_dequantize_per_tensor_default_1066: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_695, 0.00012666585098486394, 35736, 0, 65535, torch.int32) 2025-06-05T23:26:40.4524189Z quantized_decomposed_dequantize_per_tensor_default_1067: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_695, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_695 = None 2025-06-05T23:26:40.4524280Z 2025-06-05T23:26:40.4524917Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.4525758Z aten_permute_copy_default_171: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1054, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1054 = None 2025-06-05T23:26:40.4526730Z quantized_decomposed_quantize_per_tensor_default_696: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_171, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_permute_copy_default_171 = None 2025-06-05T23:26:40.4527904Z quantized_decomposed_dequantize_per_tensor_default_1068: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_696, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_696 = None 2025-06-05T23:26:40.4528682Z aten_select_copy_int_192: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1068, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1068 = None 2025-06-05T23:26:40.4529588Z quantized_decomposed_quantize_per_tensor_default_697: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_192, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_select_copy_int_192 = None 2025-06-05T23:26:40.4530826Z quantized_decomposed_dequantize_per_tensor_default_1069: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_697, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_697 = None 2025-06-05T23:26:40.4531584Z aten_select_copy_int_193: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1069, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1069 = None 2025-06-05T23:26:40.4532485Z quantized_decomposed_quantize_per_tensor_default_698: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_193, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_select_copy_int_193 = None 2025-06-05T23:26:40.4532601Z 2025-06-05T23:26:40.4533546Z # File: .74:2663 in forward, code: dequantize_per_tensor_default_851 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_851, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantize_per_tensor_default_851 = None 2025-06-05T23:26:40.4534702Z quantized_decomposed_dequantize_per_tensor_default_1070: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_698, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_698 = None 2025-06-05T23:26:40.4534798Z 2025-06-05T23:26:40.4535441Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.4536256Z aten_permute_copy_default_172: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1053, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1053 = None 2025-06-05T23:26:40.4537254Z quantized_decomposed_quantize_per_tensor_default_699: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_172, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_permute_copy_default_172 = None 2025-06-05T23:26:40.4538422Z quantized_decomposed_dequantize_per_tensor_default_1071: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_699, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_699 = None 2025-06-05T23:26:40.4547485Z aten_select_copy_int_194: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1071, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1071 = None 2025-06-05T23:26:40.4548730Z quantized_decomposed_quantize_per_tensor_default_700: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_194, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_select_copy_int_194 = None 2025-06-05T23:26:40.4549918Z quantized_decomposed_dequantize_per_tensor_default_1072: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_700, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_700 = None 2025-06-05T23:26:40.4550681Z aten_select_copy_int_195: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1072, 0, 1); quantized_decomposed_dequantize_per_tensor_default_1072 = None 2025-06-05T23:26:40.4551812Z quantized_decomposed_quantize_per_tensor_default_701: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_195, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_select_copy_int_195 = None 2025-06-05T23:26:40.4551894Z 2025-06-05T23:26:40.4552862Z # File: .74:2672 in forward, code: dequantize_per_tensor_default_854 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_854, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantize_per_tensor_default_854 = None 2025-06-05T23:26:40.4554037Z quantized_decomposed_dequantize_per_tensor_default_1073: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_701, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_701 = None 2025-06-05T23:26:40.4554151Z 2025-06-05T23:26:40.4554821Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.4555637Z aten_permute_copy_default_173: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1052, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1052 = None 2025-06-05T23:26:40.4556606Z quantized_decomposed_quantize_per_tensor_default_702: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_173, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_permute_copy_default_173 = None 2025-06-05T23:26:40.4557779Z quantized_decomposed_dequantize_per_tensor_default_1074: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_702, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_702 = None 2025-06-05T23:26:40.4558565Z aten_select_copy_int_196: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1074, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1074 = None 2025-06-05T23:26:40.4559487Z quantized_decomposed_quantize_per_tensor_default_703: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_196, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_select_copy_int_196 = None 2025-06-05T23:26:40.4560657Z quantized_decomposed_dequantize_per_tensor_default_1075: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_703, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_703 = None 2025-06-05T23:26:40.4561415Z aten_select_copy_int_197: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1075, 0, 2); quantized_decomposed_dequantize_per_tensor_default_1075 = None 2025-06-05T23:26:40.4562322Z quantized_decomposed_quantize_per_tensor_default_704: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_197, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_select_copy_int_197 = None 2025-06-05T23:26:40.4562398Z 2025-06-05T23:26:40.4563387Z # File: .74:2681 in forward, code: dequantize_per_tensor_default_857 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_857, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantize_per_tensor_default_857 = None 2025-06-05T23:26:40.4564576Z quantized_decomposed_dequantize_per_tensor_default_1076: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_704, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_704 = None 2025-06-05T23:26:40.4564667Z 2025-06-05T23:26:40.4565312Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.4566125Z aten_permute_copy_default_174: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1051, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1051 = None 2025-06-05T23:26:40.4567124Z quantized_decomposed_quantize_per_tensor_default_705: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_174, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_permute_copy_default_174 = None 2025-06-05T23:26:40.4568292Z quantized_decomposed_dequantize_per_tensor_default_1077: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_705, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_705 = None 2025-06-05T23:26:40.4569071Z aten_select_copy_int_198: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1077, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1077 = None 2025-06-05T23:26:40.4570026Z quantized_decomposed_quantize_per_tensor_default_706: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_198, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_select_copy_int_198 = None 2025-06-05T23:26:40.4571272Z quantized_decomposed_dequantize_per_tensor_default_1078: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_706, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_706 = None 2025-06-05T23:26:40.4572023Z aten_select_copy_int_199: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1078, 0, 3); quantized_decomposed_dequantize_per_tensor_default_1078 = None 2025-06-05T23:26:40.4573177Z quantized_decomposed_quantize_per_tensor_default_707: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_199, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_select_copy_int_199 = None 2025-06-05T23:26:40.4573255Z 2025-06-05T23:26:40.4574216Z # File: .74:2690 in forward, code: dequantize_per_tensor_default_860 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_860, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantize_per_tensor_default_860 = None 2025-06-05T23:26:40.4575386Z quantized_decomposed_dequantize_per_tensor_default_1079: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_707, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_707 = None 2025-06-05T23:26:40.4575572Z 2025-06-05T23:26:40.4576275Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.4577093Z aten_permute_copy_default_175: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1050, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1050 = None 2025-06-05T23:26:40.4578063Z quantized_decomposed_quantize_per_tensor_default_708: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_175, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_permute_copy_default_175 = None 2025-06-05T23:26:40.4579257Z quantized_decomposed_dequantize_per_tensor_default_1080: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_708, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_708 = None 2025-06-05T23:26:40.4580057Z aten_select_copy_int_200: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1080, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1080 = None 2025-06-05T23:26:40.4580964Z quantized_decomposed_quantize_per_tensor_default_709: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_200, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_select_copy_int_200 = None 2025-06-05T23:26:40.4582129Z quantized_decomposed_dequantize_per_tensor_default_1081: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_709, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_709 = None 2025-06-05T23:26:40.4582885Z aten_select_copy_int_201: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1081, 0, 4); quantized_decomposed_dequantize_per_tensor_default_1081 = None 2025-06-05T23:26:40.4583825Z quantized_decomposed_quantize_per_tensor_default_710: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_201, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_select_copy_int_201 = None 2025-06-05T23:26:40.4583916Z 2025-06-05T23:26:40.4584859Z # File: .74:2699 in forward, code: dequantize_per_tensor_default_863 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_863, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantize_per_tensor_default_863 = None 2025-06-05T23:26:40.4586032Z quantized_decomposed_dequantize_per_tensor_default_1082: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_710, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_710 = None 2025-06-05T23:26:40.4586123Z 2025-06-05T23:26:40.4586765Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.4587582Z aten_permute_copy_default_176: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1049, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1049 = None 2025-06-05T23:26:40.4588569Z quantized_decomposed_quantize_per_tensor_default_711: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_176, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_permute_copy_default_176 = None 2025-06-05T23:26:40.4589760Z quantized_decomposed_dequantize_per_tensor_default_1083: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_711, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_711 = None 2025-06-05T23:26:40.4590518Z aten_select_copy_int_202: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1083, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1083 = None 2025-06-05T23:26:40.4591537Z quantized_decomposed_quantize_per_tensor_default_712: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_202, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_select_copy_int_202 = None 2025-06-05T23:26:40.4592714Z quantized_decomposed_dequantize_per_tensor_default_1084: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_712, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_712 = None 2025-06-05T23:26:40.4593469Z aten_select_copy_int_203: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1084, 0, 5); quantized_decomposed_dequantize_per_tensor_default_1084 = None 2025-06-05T23:26:40.4594367Z quantized_decomposed_quantize_per_tensor_default_713: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_203, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_select_copy_int_203 = None 2025-06-05T23:26:40.4594457Z 2025-06-05T23:26:40.4595405Z # File: .74:2708 in forward, code: dequantize_per_tensor_default_866 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_866, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantize_per_tensor_default_866 = None 2025-06-05T23:26:40.4596594Z quantized_decomposed_dequantize_per_tensor_default_1085: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_713, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_713 = None 2025-06-05T23:26:40.4596684Z 2025-06-05T23:26:40.4597353Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.4598160Z aten_permute_copy_default_177: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1048, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1048 = None 2025-06-05T23:26:40.4599133Z quantized_decomposed_quantize_per_tensor_default_714: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_177, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_permute_copy_default_177 = None 2025-06-05T23:26:40.4600336Z quantized_decomposed_dequantize_per_tensor_default_1086: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_714, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_714 = None 2025-06-05T23:26:40.4601126Z aten_select_copy_int_204: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1086, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1086 = None 2025-06-05T23:26:40.4602035Z quantized_decomposed_quantize_per_tensor_default_715: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_204, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_select_copy_int_204 = None 2025-06-05T23:26:40.4603221Z quantized_decomposed_dequantize_per_tensor_default_1087: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_715, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_715 = None 2025-06-05T23:26:40.4603989Z aten_select_copy_int_205: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1087, 0, 6); quantized_decomposed_dequantize_per_tensor_default_1087 = None 2025-06-05T23:26:40.4604891Z quantized_decomposed_quantize_per_tensor_default_716: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_205, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_select_copy_int_205 = None 2025-06-05T23:26:40.4604980Z 2025-06-05T23:26:40.4605930Z # File: .74:2717 in forward, code: dequantize_per_tensor_default_869 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_869, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantize_per_tensor_default_869 = None 2025-06-05T23:26:40.4607103Z quantized_decomposed_dequantize_per_tensor_default_1088: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_716, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_716 = None 2025-06-05T23:26:40.4607194Z 2025-06-05T23:26:40.4607860Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.4608683Z aten_permute_copy_default_178: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1047, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1047 = None 2025-06-05T23:26:40.4609637Z quantized_decomposed_quantize_per_tensor_default_717: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_178, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_permute_copy_default_178 = None 2025-06-05T23:26:40.4610809Z quantized_decomposed_dequantize_per_tensor_default_1089: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_717, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_717 = None 2025-06-05T23:26:40.4611568Z aten_select_copy_int_206: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1089, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1089 = None 2025-06-05T23:26:40.4612502Z quantized_decomposed_quantize_per_tensor_default_718: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_206, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_select_copy_int_206 = None 2025-06-05T23:26:40.4613701Z quantized_decomposed_dequantize_per_tensor_default_1090: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_718, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_718 = None 2025-06-05T23:26:40.4614443Z aten_select_copy_int_207: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1090, 0, 7); quantized_decomposed_dequantize_per_tensor_default_1090 = None 2025-06-05T23:26:40.4615346Z quantized_decomposed_quantize_per_tensor_default_719: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_207, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_select_copy_int_207 = None 2025-06-05T23:26:40.4615460Z 2025-06-05T23:26:40.4616407Z # File: .74:2726 in forward, code: dequantize_per_tensor_default_872 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_872, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantize_per_tensor_default_872 = None 2025-06-05T23:26:40.4617586Z quantized_decomposed_dequantize_per_tensor_default_1091: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_719, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_719 = None 2025-06-05T23:26:40.4617662Z 2025-06-05T23:26:40.4618299Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.4619127Z aten_permute_copy_default_179: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1046, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1046 = None 2025-06-05T23:26:40.4620108Z quantized_decomposed_quantize_per_tensor_default_720: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_179, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_permute_copy_default_179 = None 2025-06-05T23:26:40.4621280Z quantized_decomposed_dequantize_per_tensor_default_1092: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_720, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_720 = None 2025-06-05T23:26:40.4622047Z aten_select_copy_int_208: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1092, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1092 = None 2025-06-05T23:26:40.4622955Z quantized_decomposed_quantize_per_tensor_default_721: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_208, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_select_copy_int_208 = None 2025-06-05T23:26:40.4624127Z quantized_decomposed_dequantize_per_tensor_default_1093: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_721, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_721 = None 2025-06-05T23:26:40.4624901Z aten_select_copy_int_209: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1093, 0, 8); quantized_decomposed_dequantize_per_tensor_default_1093 = None 2025-06-05T23:26:40.4625824Z quantized_decomposed_quantize_per_tensor_default_722: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_209, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_select_copy_int_209 = None 2025-06-05T23:26:40.4625915Z 2025-06-05T23:26:40.4626864Z # File: .74:2735 in forward, code: dequantize_per_tensor_default_875 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_875, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantize_per_tensor_default_875 = None 2025-06-05T23:26:40.4628044Z quantized_decomposed_dequantize_per_tensor_default_1094: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_722, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_722 = None 2025-06-05T23:26:40.4628150Z 2025-06-05T23:26:40.4628791Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.4629622Z aten_permute_copy_default_180: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1045, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1045 = None 2025-06-05T23:26:40.4630578Z quantized_decomposed_quantize_per_tensor_default_723: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_180, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_permute_copy_default_180 = None 2025-06-05T23:26:40.4631840Z quantized_decomposed_dequantize_per_tensor_default_1095: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_723, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_723 = None 2025-06-05T23:26:40.4632652Z aten_select_copy_int_210: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1095, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1095 = None 2025-06-05T23:26:40.4633565Z quantized_decomposed_quantize_per_tensor_default_724: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_210, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_select_copy_int_210 = None 2025-06-05T23:26:40.4634748Z quantized_decomposed_dequantize_per_tensor_default_1096: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_724, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_724 = None 2025-06-05T23:26:40.4635491Z aten_select_copy_int_211: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1096, 0, 9); quantized_decomposed_dequantize_per_tensor_default_1096 = None 2025-06-05T23:26:40.4636405Z quantized_decomposed_quantize_per_tensor_default_725: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_211, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_select_copy_int_211 = None 2025-06-05T23:26:40.4636483Z 2025-06-05T23:26:40.4637452Z # File: .74:2744 in forward, code: dequantize_per_tensor_default_878 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_878, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantize_per_tensor_default_878 = None 2025-06-05T23:26:40.4638655Z quantized_decomposed_dequantize_per_tensor_default_1097: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_725, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_725 = None 2025-06-05T23:26:40.4638733Z 2025-06-05T23:26:40.4639371Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.4640227Z aten_permute_copy_default_181: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1044, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1044 = None 2025-06-05T23:26:40.4641178Z quantized_decomposed_quantize_per_tensor_default_726: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_181, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_permute_copy_default_181 = None 2025-06-05T23:26:40.4642357Z quantized_decomposed_dequantize_per_tensor_default_1098: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_726, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_726 = None 2025-06-05T23:26:40.4643107Z aten_select_copy_int_212: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1098, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1098 = None 2025-06-05T23:26:40.4644015Z quantized_decomposed_quantize_per_tensor_default_727: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_212, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_select_copy_int_212 = None 2025-06-05T23:26:40.4645215Z quantized_decomposed_dequantize_per_tensor_default_1099: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_727, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_727 = None 2025-06-05T23:26:40.4645962Z aten_select_copy_int_213: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1099, 0, 10); quantized_decomposed_dequantize_per_tensor_default_1099 = None 2025-06-05T23:26:40.4646881Z quantized_decomposed_quantize_per_tensor_default_728: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_213, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_select_copy_int_213 = None 2025-06-05T23:26:40.4646957Z 2025-06-05T23:26:40.4647899Z # File: .74:2753 in forward, code: dequantize_per_tensor_default_881 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_881, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantize_per_tensor_default_881 = None 2025-06-05T23:26:40.4649061Z quantized_decomposed_dequantize_per_tensor_default_1100: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_728, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_728 = None 2025-06-05T23:26:40.4649189Z 2025-06-05T23:26:40.4649833Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.4650658Z aten_permute_copy_default_182: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1043, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1043 = None 2025-06-05T23:26:40.4651618Z quantized_decomposed_quantize_per_tensor_default_729: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_182, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_permute_copy_default_182 = None 2025-06-05T23:26:40.4652825Z quantized_decomposed_dequantize_per_tensor_default_1101: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_729, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_729 = None 2025-06-05T23:26:40.4653582Z aten_select_copy_int_214: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1101, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1101 = None 2025-06-05T23:26:40.4654479Z quantized_decomposed_quantize_per_tensor_default_730: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_214, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_select_copy_int_214 = None 2025-06-05T23:26:40.4655664Z quantized_decomposed_dequantize_per_tensor_default_1102: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_730, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_730 = None 2025-06-05T23:26:40.4656409Z aten_select_copy_int_215: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1102, 0, 11); quantized_decomposed_dequantize_per_tensor_default_1102 = None 2025-06-05T23:26:40.4657350Z quantized_decomposed_quantize_per_tensor_default_731: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_215, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_select_copy_int_215 = None 2025-06-05T23:26:40.4657427Z 2025-06-05T23:26:40.4658379Z # File: .74:2762 in forward, code: dequantize_per_tensor_default_884 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_884, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantize_per_tensor_default_884 = None 2025-06-05T23:26:40.4659554Z quantized_decomposed_dequantize_per_tensor_default_1103: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_731, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_731 = None 2025-06-05T23:26:40.4659630Z 2025-06-05T23:26:40.4660267Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.4665991Z aten_cat_default_18: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([quantized_decomposed_dequantize_per_tensor_default_1070, quantized_decomposed_dequantize_per_tensor_default_1073, quantized_decomposed_dequantize_per_tensor_default_1076, quantized_decomposed_dequantize_per_tensor_default_1079, quantized_decomposed_dequantize_per_tensor_default_1082, quantized_decomposed_dequantize_per_tensor_default_1085, quantized_decomposed_dequantize_per_tensor_default_1088, quantized_decomposed_dequantize_per_tensor_default_1091, quantized_decomposed_dequantize_per_tensor_default_1094, quantized_decomposed_dequantize_per_tensor_default_1097, quantized_decomposed_dequantize_per_tensor_default_1100, quantized_decomposed_dequantize_per_tensor_default_1103]); quantized_decomposed_dequantize_per_tensor_default_1070 = quantized_decomposed_dequantize_per_tensor_default_1073 = quantized_decomposed_dequantize_per_tensor_default_1076 = quantized_decomposed_dequantize_per_tensor_default_1079 = quantized_decomposed_dequantize_per_tensor_default_1082 = quantized_decomposed_dequantize_per_tensor_default_1085 = quantized_decomposed_dequantize_per_tensor_default_1088 = quantized_decomposed_dequantize_per_tensor_default_1091 = quantized_decomposed_dequantize_per_tensor_default_1094 = quantized_decomposed_dequantize_per_tensor_default_1097 = quantized_decomposed_dequantize_per_tensor_default_1100 = quantized_decomposed_dequantize_per_tensor_default_1103 = None 2025-06-05T23:26:40.4666933Z quantized_decomposed_quantize_per_tensor_default_732: "i32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_18, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_cat_default_18 = None 2025-06-05T23:26:40.4668112Z quantized_decomposed_dequantize_per_tensor_default_1104: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_732, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_732 = None 2025-06-05T23:26:40.4668913Z aten_view_copy_default_81: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1104, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_1104 = None 2025-06-05T23:26:40.4669878Z quantized_decomposed_quantize_per_tensor_default_733: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_81, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_view_copy_default_81 = None 2025-06-05T23:26:40.4669956Z 2025-06-05T23:26:40.4670552Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:324 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-06-05T23:26:40.4671809Z quantized_decomposed_dequantize_per_tensor_default_1105: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_733, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_733 = None 2025-06-05T23:26:40.4671891Z 2025-06-05T23:26:40.4672543Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.4673565Z aten_permute_copy_default_183: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1067, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1067 = None 2025-06-05T23:26:40.4674544Z quantized_decomposed_quantize_per_tensor_default_734: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_183, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_permute_copy_default_183 = None 2025-06-05T23:26:40.4675846Z quantized_decomposed_dequantize_per_tensor_default_1106: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_734, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_734 = None 2025-06-05T23:26:40.4676614Z aten_select_copy_int_216: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1106, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1106 = None 2025-06-05T23:26:40.4677535Z quantized_decomposed_quantize_per_tensor_default_735: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_216, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_select_copy_int_216 = None 2025-06-05T23:26:40.4678743Z quantized_decomposed_dequantize_per_tensor_default_1107: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_735, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_735 = None 2025-06-05T23:26:40.4679496Z aten_select_copy_int_217: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1107, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1107 = None 2025-06-05T23:26:40.4680401Z quantized_decomposed_quantize_per_tensor_default_736: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_217, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_select_copy_int_217 = None 2025-06-05T23:26:40.4680481Z 2025-06-05T23:26:40.4681441Z # File: .74:2777 in forward, code: dequantize_per_tensor_default_889 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_889, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantize_per_tensor_default_889 = None 2025-06-05T23:26:40.4682638Z quantized_decomposed_dequantize_per_tensor_default_1108: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_736, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_736 = None 2025-06-05T23:26:40.4682731Z 2025-06-05T23:26:40.4683375Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.4684190Z aten_permute_copy_default_184: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1066, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1066 = None 2025-06-05T23:26:40.4685163Z quantized_decomposed_quantize_per_tensor_default_737: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_184, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_permute_copy_default_184 = None 2025-06-05T23:26:40.4686336Z quantized_decomposed_dequantize_per_tensor_default_1109: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_737, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_737 = None 2025-06-05T23:26:40.4687095Z aten_select_copy_int_218: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1109, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1109 = None 2025-06-05T23:26:40.4688063Z quantized_decomposed_quantize_per_tensor_default_738: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_218, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_select_copy_int_218 = None 2025-06-05T23:26:40.4689231Z quantized_decomposed_dequantize_per_tensor_default_1110: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_738, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_738 = None 2025-06-05T23:26:40.4689988Z aten_select_copy_int_219: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1110, 0, 1); quantized_decomposed_dequantize_per_tensor_default_1110 = None 2025-06-05T23:26:40.4690922Z quantized_decomposed_quantize_per_tensor_default_739: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_219, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_select_copy_int_219 = None 2025-06-05T23:26:40.4691000Z 2025-06-05T23:26:40.4691954Z # File: .74:2786 in forward, code: dequantize_per_tensor_default_892 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_892, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantize_per_tensor_default_892 = None 2025-06-05T23:26:40.4693115Z quantized_decomposed_dequantize_per_tensor_default_1111: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_739, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_739 = None 2025-06-05T23:26:40.4693207Z 2025-06-05T23:26:40.4693846Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.4694687Z aten_permute_copy_default_185: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1065, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1065 = None 2025-06-05T23:26:40.4695648Z quantized_decomposed_quantize_per_tensor_default_740: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_185, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_permute_copy_default_185 = None 2025-06-05T23:26:40.4696822Z quantized_decomposed_dequantize_per_tensor_default_1112: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_740, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_740 = None 2025-06-05T23:26:40.4697580Z aten_select_copy_int_220: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1112, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1112 = None 2025-06-05T23:26:40.4698487Z quantized_decomposed_quantize_per_tensor_default_741: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_220, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_select_copy_int_220 = None 2025-06-05T23:26:40.4699685Z quantized_decomposed_dequantize_per_tensor_default_1113: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_741, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_741 = None 2025-06-05T23:26:40.4700464Z aten_select_copy_int_221: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1113, 0, 2); quantized_decomposed_dequantize_per_tensor_default_1113 = None 2025-06-05T23:26:40.4701367Z quantized_decomposed_quantize_per_tensor_default_742: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_221, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_select_copy_int_221 = None 2025-06-05T23:26:40.4701456Z 2025-06-05T23:26:40.4702403Z # File: .74:2795 in forward, code: dequantize_per_tensor_default_895 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_895, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantize_per_tensor_default_895 = None 2025-06-05T23:26:40.4703601Z quantized_decomposed_dequantize_per_tensor_default_1114: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_742, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_742 = None 2025-06-05T23:26:40.4703690Z 2025-06-05T23:26:40.4704332Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.4705150Z aten_permute_copy_default_186: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1064, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1064 = None 2025-06-05T23:26:40.4706119Z quantized_decomposed_quantize_per_tensor_default_743: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_186, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_permute_copy_default_186 = None 2025-06-05T23:26:40.4707319Z quantized_decomposed_dequantize_per_tensor_default_1115: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_743, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_743 = None 2025-06-05T23:26:40.4708084Z aten_select_copy_int_222: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1115, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1115 = None 2025-06-05T23:26:40.4708998Z quantized_decomposed_quantize_per_tensor_default_744: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_222, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_select_copy_int_222 = None 2025-06-05T23:26:40.4710166Z quantized_decomposed_dequantize_per_tensor_default_1116: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_744, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_744 = None 2025-06-05T23:26:40.4710991Z aten_select_copy_int_223: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1116, 0, 3); quantized_decomposed_dequantize_per_tensor_default_1116 = None 2025-06-05T23:26:40.4711927Z quantized_decomposed_quantize_per_tensor_default_745: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_223, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_select_copy_int_223 = None 2025-06-05T23:26:40.4712044Z 2025-06-05T23:26:40.4712994Z # File: .74:2804 in forward, code: dequantize_per_tensor_default_898 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_898, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantize_per_tensor_default_898 = None 2025-06-05T23:26:40.4714159Z quantized_decomposed_dequantize_per_tensor_default_1117: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_745, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_745 = None 2025-06-05T23:26:40.4714293Z 2025-06-05T23:26:40.4714943Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.4715758Z aten_permute_copy_default_187: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1063, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1063 = None 2025-06-05T23:26:40.4716729Z quantized_decomposed_quantize_per_tensor_default_746: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_187, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_permute_copy_default_187 = None 2025-06-05T23:26:40.4717903Z quantized_decomposed_dequantize_per_tensor_default_1118: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_746, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_746 = None 2025-06-05T23:26:40.4718666Z aten_select_copy_int_224: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1118, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1118 = None 2025-06-05T23:26:40.4719604Z quantized_decomposed_quantize_per_tensor_default_747: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_224, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_select_copy_int_224 = None 2025-06-05T23:26:40.4720783Z quantized_decomposed_dequantize_per_tensor_default_1119: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_747, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_747 = None 2025-06-05T23:26:40.4721529Z aten_select_copy_int_225: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1119, 0, 4); quantized_decomposed_dequantize_per_tensor_default_1119 = None 2025-06-05T23:26:40.4722434Z quantized_decomposed_quantize_per_tensor_default_748: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_225, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_select_copy_int_225 = None 2025-06-05T23:26:40.4722527Z 2025-06-05T23:26:40.4723472Z # File: .74:2813 in forward, code: dequantize_per_tensor_default_901 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_901, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantize_per_tensor_default_901 = None 2025-06-05T23:26:40.4724670Z quantized_decomposed_dequantize_per_tensor_default_1120: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_748, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_748 = None 2025-06-05T23:26:40.4724780Z 2025-06-05T23:26:40.4725424Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.4726250Z aten_permute_copy_default_188: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1062, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1062 = None 2025-06-05T23:26:40.4727232Z quantized_decomposed_quantize_per_tensor_default_749: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_188, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_permute_copy_default_188 = None 2025-06-05T23:26:40.4728398Z quantized_decomposed_dequantize_per_tensor_default_1121: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_749, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_749 = None 2025-06-05T23:26:40.4729154Z aten_select_copy_int_226: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1121, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1121 = None 2025-06-05T23:26:40.4730058Z quantized_decomposed_quantize_per_tensor_default_750: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_226, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_select_copy_int_226 = None 2025-06-05T23:26:40.4731238Z quantized_decomposed_dequantize_per_tensor_default_1122: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_750, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_750 = None 2025-06-05T23:26:40.4732008Z aten_select_copy_int_227: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1122, 0, 5); quantized_decomposed_dequantize_per_tensor_default_1122 = None 2025-06-05T23:26:40.4732913Z quantized_decomposed_quantize_per_tensor_default_751: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_227, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_select_copy_int_227 = None 2025-06-05T23:26:40.4733006Z 2025-06-05T23:26:40.4733954Z # File: .74:2822 in forward, code: dequantize_per_tensor_default_904 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_904, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantize_per_tensor_default_904 = None 2025-06-05T23:26:40.4735126Z quantized_decomposed_dequantize_per_tensor_default_1123: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_751, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_751 = None 2025-06-05T23:26:40.4735201Z 2025-06-05T23:26:40.4735844Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.4736750Z aten_permute_copy_default_189: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1061, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1061 = None 2025-06-05T23:26:40.4737706Z quantized_decomposed_quantize_per_tensor_default_752: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_189, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_permute_copy_default_189 = None 2025-06-05T23:26:40.4738878Z quantized_decomposed_dequantize_per_tensor_default_1124: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_752, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_752 = None 2025-06-05T23:26:40.4739663Z aten_select_copy_int_228: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1124, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1124 = None 2025-06-05T23:26:40.4740571Z quantized_decomposed_quantize_per_tensor_default_753: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_228, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_select_copy_int_228 = None 2025-06-05T23:26:40.4741750Z quantized_decomposed_dequantize_per_tensor_default_1125: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_753, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_753 = None 2025-06-05T23:26:40.4742492Z aten_select_copy_int_229: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1125, 0, 6); quantized_decomposed_dequantize_per_tensor_default_1125 = None 2025-06-05T23:26:40.4743391Z quantized_decomposed_quantize_per_tensor_default_754: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_229, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_select_copy_int_229 = None 2025-06-05T23:26:40.4743506Z 2025-06-05T23:26:40.4744449Z # File: .74:2831 in forward, code: dequantize_per_tensor_default_907 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_907, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantize_per_tensor_default_907 = None 2025-06-05T23:26:40.4745628Z quantized_decomposed_dequantize_per_tensor_default_1126: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_754, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_754 = None 2025-06-05T23:26:40.4745706Z 2025-06-05T23:26:40.4746348Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.4747170Z aten_permute_copy_default_190: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1060, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1060 = None 2025-06-05T23:26:40.4748131Z quantized_decomposed_quantize_per_tensor_default_755: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_190, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_permute_copy_default_190 = None 2025-06-05T23:26:40.4749357Z quantized_decomposed_dequantize_per_tensor_default_1127: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_755, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_755 = None 2025-06-05T23:26:40.4750117Z aten_select_copy_int_230: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1127, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1127 = None 2025-06-05T23:26:40.4751095Z quantized_decomposed_quantize_per_tensor_default_756: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_230, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_select_copy_int_230 = None 2025-06-05T23:26:40.4752312Z quantized_decomposed_dequantize_per_tensor_default_1128: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_756, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_756 = None 2025-06-05T23:26:40.4753051Z aten_select_copy_int_231: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1128, 0, 7); quantized_decomposed_dequantize_per_tensor_default_1128 = None 2025-06-05T23:26:40.4753963Z quantized_decomposed_quantize_per_tensor_default_757: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_231, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_select_copy_int_231 = None 2025-06-05T23:26:40.4754045Z 2025-06-05T23:26:40.4754990Z # File: .74:2840 in forward, code: dequantize_per_tensor_default_910 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_910, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantize_per_tensor_default_910 = None 2025-06-05T23:26:40.4756197Z quantized_decomposed_dequantize_per_tensor_default_1129: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_757, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_757 = None 2025-06-05T23:26:40.4756274Z 2025-06-05T23:26:40.4756913Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.4757743Z aten_permute_copy_default_191: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1059, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1059 = None 2025-06-05T23:26:40.4758706Z quantized_decomposed_quantize_per_tensor_default_758: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_191, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_permute_copy_default_191 = None 2025-06-05T23:26:40.4759887Z quantized_decomposed_dequantize_per_tensor_default_1130: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_758, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_758 = None 2025-06-05T23:26:40.4760665Z aten_select_copy_int_232: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1130, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1130 = None 2025-06-05T23:26:40.4761606Z quantized_decomposed_quantize_per_tensor_default_759: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_232, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_select_copy_int_232 = None 2025-06-05T23:26:40.4762794Z quantized_decomposed_dequantize_per_tensor_default_1131: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_759, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_759 = None 2025-06-05T23:26:40.4763535Z aten_select_copy_int_233: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1131, 0, 8); quantized_decomposed_dequantize_per_tensor_default_1131 = None 2025-06-05T23:26:40.4764482Z quantized_decomposed_quantize_per_tensor_default_760: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_233, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_select_copy_int_233 = None 2025-06-05T23:26:40.4764560Z 2025-06-05T23:26:40.4765510Z # File: .74:2849 in forward, code: dequantize_per_tensor_default_913 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_913, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantize_per_tensor_default_913 = None 2025-06-05T23:26:40.4766692Z quantized_decomposed_dequantize_per_tensor_default_1132: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_760, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_760 = None 2025-06-05T23:26:40.4766771Z 2025-06-05T23:26:40.4767410Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.4768263Z aten_permute_copy_default_192: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1058, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1058 = None 2025-06-05T23:26:40.4769219Z quantized_decomposed_quantize_per_tensor_default_761: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_192, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_permute_copy_default_192 = None 2025-06-05T23:26:40.4770399Z quantized_decomposed_dequantize_per_tensor_default_1133: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_761, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_761 = None 2025-06-05T23:26:40.4771154Z aten_select_copy_int_234: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1133, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1133 = None 2025-06-05T23:26:40.4772066Z quantized_decomposed_quantize_per_tensor_default_762: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_234, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_select_copy_int_234 = None 2025-06-05T23:26:40.4773550Z quantized_decomposed_dequantize_per_tensor_default_1134: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_762, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_762 = None 2025-06-05T23:26:40.4774346Z aten_select_copy_int_235: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1134, 0, 9); quantized_decomposed_dequantize_per_tensor_default_1134 = None 2025-06-05T23:26:40.4775267Z quantized_decomposed_quantize_per_tensor_default_763: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_235, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_select_copy_int_235 = None 2025-06-05T23:26:40.4775344Z 2025-06-05T23:26:40.4776329Z # File: .74:2858 in forward, code: dequantize_per_tensor_default_916 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_916, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantize_per_tensor_default_916 = None 2025-06-05T23:26:40.4777506Z quantized_decomposed_dequantize_per_tensor_default_1135: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_763, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_763 = None 2025-06-05T23:26:40.4777583Z 2025-06-05T23:26:40.4778224Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.4779054Z aten_permute_copy_default_193: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1057, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1057 = None 2025-06-05T23:26:40.4780017Z quantized_decomposed_quantize_per_tensor_default_764: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_193, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_permute_copy_default_193 = None 2025-06-05T23:26:40.4781241Z quantized_decomposed_dequantize_per_tensor_default_1136: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_764, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_764 = None 2025-06-05T23:26:40.4781985Z aten_select_copy_int_236: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1136, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1136 = None 2025-06-05T23:26:40.4782896Z quantized_decomposed_quantize_per_tensor_default_765: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_236, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_select_copy_int_236 = None 2025-06-05T23:26:40.4784082Z quantized_decomposed_dequantize_per_tensor_default_1137: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_765, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_765 = None 2025-06-05T23:26:40.4784826Z aten_select_copy_int_237: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1137, 0, 10); quantized_decomposed_dequantize_per_tensor_default_1137 = None 2025-06-05T23:26:40.4785769Z quantized_decomposed_quantize_per_tensor_default_766: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_237, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_select_copy_int_237 = None 2025-06-05T23:26:40.4785866Z 2025-06-05T23:26:40.4786816Z # File: .74:2867 in forward, code: dequantize_per_tensor_default_919 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_919, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantize_per_tensor_default_919 = None 2025-06-05T23:26:40.4787990Z quantized_decomposed_dequantize_per_tensor_default_1138: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_766, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_766 = None 2025-06-05T23:26:40.4788093Z 2025-06-05T23:26:40.4788744Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.4789554Z aten_permute_copy_default_194: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1056, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1056 = None 2025-06-05T23:26:40.4790503Z quantized_decomposed_quantize_per_tensor_default_767: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_194, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_permute_copy_default_194 = None 2025-06-05T23:26:40.4791754Z quantized_decomposed_dequantize_per_tensor_default_1139: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_767, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_767 = None 2025-06-05T23:26:40.4792509Z aten_select_copy_int_238: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1139, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1139 = None 2025-06-05T23:26:40.4793465Z quantized_decomposed_quantize_per_tensor_default_768: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_238, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_select_copy_int_238 = None 2025-06-05T23:26:40.4794642Z quantized_decomposed_dequantize_per_tensor_default_1140: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_768, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_768 = None 2025-06-05T23:26:40.4795392Z aten_select_copy_int_239: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1140, 0, 11); quantized_decomposed_dequantize_per_tensor_default_1140 = None 2025-06-05T23:26:40.4796308Z quantized_decomposed_quantize_per_tensor_default_769: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_239, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_select_copy_int_239 = None 2025-06-05T23:26:40.4796383Z 2025-06-05T23:26:40.4797338Z # File: .74:2876 in forward, code: dequantize_per_tensor_default_922 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_922, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantize_per_tensor_default_922 = None 2025-06-05T23:26:40.4798572Z quantized_decomposed_dequantize_per_tensor_default_1141: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_769, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_769 = None 2025-06-05T23:26:40.4798648Z 2025-06-05T23:26:40.4799305Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.4804942Z aten_cat_default_19: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([quantized_decomposed_dequantize_per_tensor_default_1108, quantized_decomposed_dequantize_per_tensor_default_1111, quantized_decomposed_dequantize_per_tensor_default_1114, quantized_decomposed_dequantize_per_tensor_default_1117, quantized_decomposed_dequantize_per_tensor_default_1120, quantized_decomposed_dequantize_per_tensor_default_1123, quantized_decomposed_dequantize_per_tensor_default_1126, quantized_decomposed_dequantize_per_tensor_default_1129, quantized_decomposed_dequantize_per_tensor_default_1132, quantized_decomposed_dequantize_per_tensor_default_1135, quantized_decomposed_dequantize_per_tensor_default_1138, quantized_decomposed_dequantize_per_tensor_default_1141]); quantized_decomposed_dequantize_per_tensor_default_1108 = quantized_decomposed_dequantize_per_tensor_default_1111 = quantized_decomposed_dequantize_per_tensor_default_1114 = quantized_decomposed_dequantize_per_tensor_default_1117 = quantized_decomposed_dequantize_per_tensor_default_1120 = quantized_decomposed_dequantize_per_tensor_default_1123 = quantized_decomposed_dequantize_per_tensor_default_1126 = quantized_decomposed_dequantize_per_tensor_default_1129 = quantized_decomposed_dequantize_per_tensor_default_1132 = quantized_decomposed_dequantize_per_tensor_default_1135 = quantized_decomposed_dequantize_per_tensor_default_1138 = quantized_decomposed_dequantize_per_tensor_default_1141 = None 2025-06-05T23:26:40.4805886Z quantized_decomposed_quantize_per_tensor_default_770: "i32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_19, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_cat_default_19 = None 2025-06-05T23:26:40.4807078Z quantized_decomposed_dequantize_per_tensor_default_1142: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_770, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_770 = None 2025-06-05T23:26:40.4807883Z aten_view_copy_default_82: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1142, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_1142 = None 2025-06-05T23:26:40.4808801Z quantized_decomposed_quantize_per_tensor_default_771: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_82, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_view_copy_default_82 = None 2025-06-05T23:26:40.4808891Z 2025-06-05T23:26:40.4809842Z # File: .74:2882 in forward, code: dequantize_per_tensor_default_924 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_924, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantize_per_tensor_default_924 = None 2025-06-05T23:26:40.4811044Z quantized_decomposed_dequantize_per_tensor_default_1143: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_771, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_771 = None 2025-06-05T23:26:40.4811195Z 2025-06-05T23:26:40.4812143Z # File: .74:2883 in forward, code: quantize_per_tensor_default_925 = torch.ops.quantized_decomposed.quantize_per_tensor.default(dequantize_per_tensor_default_924, 0.00013814217527396977, 0, -32767, 32767, torch.int16); dequantize_per_tensor_default_924 = None 2025-06-05T23:26:40.4813324Z quantized_decomposed_quantize_per_tensor_default_772: "i16[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_1143, 0.00013814217527396977, 0, -32767, 32767, torch.int16); quantized_decomposed_dequantize_per_tensor_default_1143 = None 2025-06-05T23:26:40.4813436Z 2025-06-05T23:26:40.4813901Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:327 in forward, code: y = attn_weight @ v 2025-06-05T23:26:40.4815090Z quantized_decomposed_dequantize_per_tensor_default_1144: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_772, 0.00013814217527396977, 0, -32767, 32767, torch.int16); quantized_decomposed_quantize_per_tensor_default_772 = None 2025-06-05T23:26:40.4815165Z 2025-06-05T23:26:40.4815743Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:324 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-06-05T23:26:40.4816573Z aten_permute_copy_default_195: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1105, [0, 1, 3, 2]); quantized_decomposed_dequantize_per_tensor_default_1105 = None 2025-06-05T23:26:40.4817530Z quantized_decomposed_quantize_per_tensor_default_773: "i32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_195, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_permute_copy_default_195 = None 2025-06-05T23:26:40.4817606Z 2025-06-05T23:26:40.4818588Z # File: .74:2887 in forward, code: dequantize_per_tensor_default_926 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_926, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantize_per_tensor_default_926 = None 2025-06-05T23:26:40.4819755Z quantized_decomposed_dequantize_per_tensor_default_1145: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_773, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_773 = None 2025-06-05T23:26:40.4819833Z 2025-06-05T23:26:40.4820781Z # File: .74:2888 in forward, code: quantize_per_tensor_default_927 = torch.ops.quantized_decomposed.quantize_per_tensor.default(dequantize_per_tensor_default_926, 0.0004133212787564844, 0, -32767, 32767, torch.int16); dequantize_per_tensor_default_926 = None 2025-06-05T23:26:40.4821957Z quantized_decomposed_quantize_per_tensor_default_774: "i16[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_1145, 0.0004133212787564844, 0, -32767, 32767, torch.int16); quantized_decomposed_dequantize_per_tensor_default_1145 = None 2025-06-05T23:26:40.4822044Z 2025-06-05T23:26:40.4822618Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:324 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-06-05T23:26:40.4823807Z quantized_decomposed_dequantize_per_tensor_default_1146: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_774, 0.0004133212787564844, 0, -32767, 32767, torch.int16); quantized_decomposed_quantize_per_tensor_default_774 = None 2025-06-05T23:26:40.4824637Z aten_expand_copy_default_16: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_1040, [1, 12, 1, 64]); quantized_decomposed_dequantize_per_tensor_default_1040 = None 2025-06-05T23:26:40.4825189Z aten_view_copy_default_83: "f32[12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_16, [12, 1, 64]); aten_expand_copy_default_16 = None 2025-06-05T23:26:40.4825999Z aten_expand_copy_default_17: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_1146, [1, 12, 64, 128]); quantized_decomposed_dequantize_per_tensor_default_1146 = None 2025-06-05T23:26:40.4826602Z aten_view_copy_default_84: "f32[12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_17, [12, 64, 128]); aten_expand_copy_default_17 = None 2025-06-05T23:26:40.4827249Z aten_bmm_default_8: "f32[12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_83, aten_view_copy_default_84); aten_view_copy_default_83 = aten_view_copy_default_84 = None 2025-06-05T23:26:40.4827772Z aten_view_copy_default_85: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_8, [1, 12, 1, 128]); aten_bmm_default_8 = None 2025-06-05T23:26:40.4828702Z quantized_decomposed_quantize_per_tensor_default_775: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_85, 0.0038901909720152617, 41062, 0, 65535, torch.int32); aten_view_copy_default_85 = None 2025-06-05T23:26:40.4829876Z quantized_decomposed_dequantize_per_tensor_default_1147: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_775, 0.0038901909720152617, 41062, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_775 = None 2025-06-05T23:26:40.4830775Z quantized_decomposed_dequantize_per_tensor_default_1148: "f32[]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(b__frozen_param153, 1.9073777366429567e-06, 0, 0, 65535, torch.int32); b__frozen_param153 = None 2025-06-05T23:26:40.4831994Z aten_mul_tensor_70: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1147, quantized_decomposed_dequantize_per_tensor_default_1148); quantized_decomposed_dequantize_per_tensor_default_1147 = quantized_decomposed_dequantize_per_tensor_default_1148 = None 2025-06-05T23:26:40.4832874Z quantized_decomposed_quantize_per_tensor_default_776: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_70, 0.0004862738715019077, 41062, 0, 65535, torch.int32); aten_mul_tensor_70 = None 2025-06-05T23:26:40.4832951Z 2025-06-05T23:26:40.4833437Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:325 in forward, code: attn_weight += attn_mask 2025-06-05T23:26:40.4834622Z quantized_decomposed_dequantize_per_tensor_default_1149: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_776, 0.0004862738715019077, 41062, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_776 = None 2025-06-05T23:26:40.4835809Z aten_add_tensor_22: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_1149, quantized_decomposed_dequantize_per_tensor_default_1041); quantized_decomposed_dequantize_per_tensor_default_1149 = quantized_decomposed_dequantize_per_tensor_default_1041 = None 2025-06-05T23:26:40.4836707Z quantized_decomposed_quantize_per_tensor_default_777: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_22, 0.004292679484933615, 62763, 0, 65535, torch.int32); aten_add_tensor_22 = None 2025-06-05T23:26:40.4836783Z 2025-06-05T23:26:40.4837352Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:326 in forward, code: attn_weight = torch.softmax(attn_weight, dim=-1) 2025-06-05T23:26:40.4838568Z quantized_decomposed_dequantize_per_tensor_default_1150: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_777, 0.004292679484933615, 62763, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_777 = None 2025-06-05T23:26:40.4839354Z aten__softmax_default_4: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten__softmax_default(quantized_decomposed_dequantize_per_tensor_default_1150, -1, False); quantized_decomposed_dequantize_per_tensor_default_1150 = None 2025-06-05T23:26:40.4840249Z quantized_decomposed_quantize_per_tensor_default_778: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten__softmax_default_4, 1.5259021893143654e-05, 0, 0, 65535, torch.int32); aten__softmax_default_4 = None 2025-06-05T23:26:40.4840337Z 2025-06-05T23:26:40.4840797Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:327 in forward, code: y = attn_weight @ v 2025-06-05T23:26:40.4841952Z quantized_decomposed_dequantize_per_tensor_default_1151: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_778, 1.5259021893143654e-05, 0, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_778 = None 2025-06-05T23:26:40.4842794Z aten_expand_copy_default_18: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_1151, [1, 12, 1, 128]); quantized_decomposed_dequantize_per_tensor_default_1151 = None 2025-06-05T23:26:40.4843350Z aten_view_copy_default_86: "f32[12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_18, [12, 1, 128]); aten_expand_copy_default_18 = None 2025-06-05T23:26:40.4844173Z aten_expand_copy_default_19: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_1144, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_1144 = None 2025-06-05T23:26:40.4844737Z aten_view_copy_default_87: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_19, [12, 128, 64]); aten_expand_copy_default_19 = None 2025-06-05T23:26:40.4845378Z aten_bmm_default_9: "f32[12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_86, aten_view_copy_default_87); aten_view_copy_default_86 = aten_view_copy_default_87 = None 2025-06-05T23:26:40.4845888Z aten_view_copy_default_88: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_9, [1, 12, 1, 64]); aten_bmm_default_9 = None 2025-06-05T23:26:40.4846822Z quantized_decomposed_quantize_per_tensor_default_779: "i32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_88, 7.019092299742624e-05, 30970, 0, 65535, torch.int32); aten_view_copy_default_88 = None 2025-06-05T23:26:40.4846949Z 2025-06-05T23:26:40.4847573Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:329 in forward, code: return y.transpose(1, 2).contiguous().view(bsz, seqlen, self.dim) 2025-06-05T23:26:40.4848734Z quantized_decomposed_dequantize_per_tensor_default_1152: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_779, 7.019092299742624e-05, 30970, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_779 = None 2025-06-05T23:26:40.4849569Z aten_permute_copy_default_196: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1152, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1152 = None 2025-06-05T23:26:40.4850531Z quantized_decomposed_quantize_per_tensor_default_780: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_196, 7.019092299742624e-05, 30970, 0, 65535, torch.int32); aten_permute_copy_default_196 = None 2025-06-05T23:26:40.4851707Z quantized_decomposed_dequantize_per_tensor_default_1153: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_780, 7.019092299742624e-05, 30970, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_780 = None 2025-06-05T23:26:40.4852480Z aten_view_copy_default_89: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1153, [1, 1, 768]); quantized_decomposed_dequantize_per_tensor_default_1153 = None 2025-06-05T23:26:40.4853391Z quantized_decomposed_quantize_per_tensor_default_781: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_89, 7.019092299742624e-05, 30970, 0, 65535, torch.int32); aten_view_copy_default_89 = None 2025-06-05T23:26:40.4853483Z 2025-06-05T23:26:40.4854048Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.4855204Z quantized_decomposed_dequantize_per_tensor_default_1154: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_781, 7.019092299742624e-05, 30970, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_781 = None 2025-06-05T23:26:40.4856037Z aten_unsqueeze_copy_default_51: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1154, -1); quantized_decomposed_dequantize_per_tensor_default_1154 = None 2025-06-05T23:26:40.4856995Z quantized_decomposed_quantize_per_tensor_default_782: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_51, 7.019092299742624e-05, 30970, 0, 65535, torch.int32); aten_unsqueeze_copy_default_51 = None 2025-06-05T23:26:40.4857087Z 2025-06-05T23:26:40.4857492Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.4858661Z quantized_decomposed_dequantize_per_tensor_default_1155: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_782, 7.019092299742624e-05, 30970, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_782 = None 2025-06-05T23:26:40.4859528Z aten_permute_copy_default_197: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1155, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1155 = None 2025-06-05T23:26:40.4860491Z quantized_decomposed_quantize_per_tensor_default_783: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_197, 7.019092299742624e-05, 30970, 0, 65535, torch.int32); aten_permute_copy_default_197 = None 2025-06-05T23:26:40.4860568Z 2025-06-05T23:26:40.4860947Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.4862110Z quantized_decomposed_dequantize_per_tensor_default_1156: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_783, 7.019092299742624e-05, 30970, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_783 = None 2025-06-05T23:26:40.4863462Z aten_convolution_default_31: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1156, quantized_decomposed_dequantize_per_tensor_default_41, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1156 = quantized_decomposed_dequantize_per_tensor_default_41 = None 2025-06-05T23:26:40.4864398Z quantized_decomposed_quantize_per_tensor_default_784: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_31, 5.287839303491637e-05, 36634, 0, 65535, torch.int32); aten_convolution_default_31 = None 2025-06-05T23:26:40.4864477Z 2025-06-05T23:26:40.4864914Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.4866083Z quantized_decomposed_dequantize_per_tensor_default_1157: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_784, 5.287839303491637e-05, 36634, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_784 = None 2025-06-05T23:26:40.4866932Z aten_permute_copy_default_198: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1157, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1157 = None 2025-06-05T23:26:40.4867889Z quantized_decomposed_quantize_per_tensor_default_785: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_198, 5.287839303491637e-05, 36634, 0, 65535, torch.int32); aten_permute_copy_default_198 = None 2025-06-05T23:26:40.4867973Z 2025-06-05T23:26:40.4868530Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.4869697Z quantized_decomposed_dequantize_per_tensor_default_1158: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_785, 5.287839303491637e-05, 36634, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_785 = None 2025-06-05T23:26:40.4870458Z aten_squeeze_copy_dims_51: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1158, [-1]); quantized_decomposed_dequantize_per_tensor_default_1158 = None 2025-06-05T23:26:40.4871510Z quantized_decomposed_quantize_per_tensor_default_786: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_51, 5.287839303491637e-05, 36634, 0, 65535, torch.int32); aten_squeeze_copy_dims_51 = None 2025-06-05T23:26:40.4871617Z 2025-06-05T23:26:40.4871987Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:132 in forward, code: h = x + h 2025-06-05T23:26:40.4873375Z quantized_decomposed_dequantize_per_tensor_default_1159: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_786, 5.287839303491637e-05, 36634, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_786 = None 2025-06-05T23:26:40.4874514Z aten_add_tensor_23: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_981, quantized_decomposed_dequantize_per_tensor_default_1159); quantized_decomposed_dequantize_per_tensor_default_981 = quantized_decomposed_dequantize_per_tensor_default_1159 = None 2025-06-05T23:26:40.4875466Z quantized_decomposed_quantize_per_tensor_default_787: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_23, 0.0024935125838965178, 6282, 0, 65535, torch.int32); aten_add_tensor_23 = None 2025-06-05T23:26:40.4875542Z 2025-06-05T23:26:40.4876055Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:136 in forward, code: out = h + self.feed_forward(self.ffn_norm(h)) 2025-06-05T23:26:40.4876992Z quantized_decomposed_dequantize_per_tensor_default_1160: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_787, 0.0024935125838965178, 6282, 0, 65535, torch.int32) 2025-06-05T23:26:40.4878145Z quantized_decomposed_dequantize_per_tensor_default_1161: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_787, 0.0024935125838965178, 6282, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_787 = None 2025-06-05T23:26:40.4878695Z aten_pow_tensor_scalar_9: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(quantized_decomposed_dequantize_per_tensor_default_1161, 2) 2025-06-05T23:26:40.4879159Z aten_mean_dim_9: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_mean_dim(aten_pow_tensor_scalar_9, [2], True); aten_pow_tensor_scalar_9 = None 2025-06-05T23:26:40.4879599Z aten_add_scalar_9: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_add_Scalar(aten_mean_dim_9, 9.999999747378752e-06); aten_mean_dim_9 = None 2025-06-05T23:26:40.4880027Z aten_rsqrt_default_9: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_rsqrt_default(aten_add_scalar_9); aten_add_scalar_9 = None 2025-06-05T23:26:40.4880889Z aten_mul_tensor_71: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1161, aten_rsqrt_default_9); quantized_decomposed_dequantize_per_tensor_default_1161 = aten_rsqrt_default_9 = None 2025-06-05T23:26:40.4881698Z aten_mul_tensor_72: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_71, quantized_decomposed_dequantize_per_tensor_default_42); aten_mul_tensor_71 = quantized_decomposed_dequantize_per_tensor_default_42 = None 2025-06-05T23:26:40.4882566Z quantized_decomposed_quantize_per_tensor_default_788: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_72, 0.0003157795872539282, 17787, 0, 65535, torch.int32); aten_mul_tensor_72 = None 2025-06-05T23:26:40.4882644Z 2025-06-05T23:26:40.4883244Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.4884188Z quantized_decomposed_dequantize_per_tensor_default_1162: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_788, 0.0003157795872539282, 17787, 0, 65535, torch.int32) 2025-06-05T23:26:40.4885343Z quantized_decomposed_dequantize_per_tensor_default_1163: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_788, 0.0003157795872539282, 17787, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_788 = None 2025-06-05T23:26:40.4886197Z aten_unsqueeze_copy_default_52: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1163, -1); quantized_decomposed_dequantize_per_tensor_default_1163 = None 2025-06-05T23:26:40.4887152Z quantized_decomposed_quantize_per_tensor_default_789: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_52, 0.0003157795872539282, 17787, 0, 65535, torch.int32); aten_unsqueeze_copy_default_52 = None 2025-06-05T23:26:40.4887229Z 2025-06-05T23:26:40.4887645Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.4888814Z quantized_decomposed_dequantize_per_tensor_default_1164: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_789, 0.0003157795872539282, 17787, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_789 = None 2025-06-05T23:26:40.4889626Z aten_permute_copy_default_199: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1164, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1164 = None 2025-06-05T23:26:40.4890604Z quantized_decomposed_quantize_per_tensor_default_790: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_199, 0.0003157795872539282, 17787, 0, 65535, torch.int32); aten_permute_copy_default_199 = None 2025-06-05T23:26:40.4890679Z 2025-06-05T23:26:40.4891039Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.4892220Z quantized_decomposed_dequantize_per_tensor_default_1165: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_790, 0.0003157795872539282, 17787, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_790 = None 2025-06-05T23:26:40.4893541Z aten_convolution_default_32: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1165, quantized_decomposed_dequantize_per_tensor_default_43, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1165 = quantized_decomposed_dequantize_per_tensor_default_43 = None 2025-06-05T23:26:40.4894500Z quantized_decomposed_quantize_per_tensor_default_791: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_32, 0.00021449536143336445, 27755, 0, 65535, torch.int32); aten_convolution_default_32 = None 2025-06-05T23:26:40.4894581Z 2025-06-05T23:26:40.4895000Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.4896233Z quantized_decomposed_dequantize_per_tensor_default_1166: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_791, 0.00021449536143336445, 27755, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_791 = None 2025-06-05T23:26:40.4897045Z aten_permute_copy_default_200: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1166, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1166 = None 2025-06-05T23:26:40.4898010Z quantized_decomposed_quantize_per_tensor_default_792: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_200, 0.00021449536143336445, 27755, 0, 65535, torch.int32); aten_permute_copy_default_200 = None 2025-06-05T23:26:40.4898132Z 2025-06-05T23:26:40.4898672Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.4899856Z quantized_decomposed_dequantize_per_tensor_default_1167: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_792, 0.00021449536143336445, 27755, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_792 = None 2025-06-05T23:26:40.4900626Z aten_squeeze_copy_dims_52: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1167, [-1]); quantized_decomposed_dequantize_per_tensor_default_1167 = None 2025-06-05T23:26:40.4901562Z quantized_decomposed_quantize_per_tensor_default_793: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_52, 0.00021449536143336445, 27755, 0, 65535, torch.int32); aten_squeeze_copy_dims_52 = None 2025-06-05T23:26:40.4901640Z 2025-06-05T23:26:40.4902156Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:37 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-06-05T23:26:40.4903138Z quantized_decomposed_dequantize_per_tensor_default_1168: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_793, 0.00021449536143336445, 27755, 0, 65535, torch.int32) 2025-06-05T23:26:40.4904304Z quantized_decomposed_dequantize_per_tensor_default_1169: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_793, 0.00021449536143336445, 27755, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_793 = None 2025-06-05T23:26:40.4905056Z aten_sigmoid_default_4: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_sigmoid_default(quantized_decomposed_dequantize_per_tensor_default_1169); quantized_decomposed_dequantize_per_tensor_default_1169 = None 2025-06-05T23:26:40.4905932Z quantized_decomposed_quantize_per_tensor_default_794: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sigmoid_default_4, 1.52587890625e-05, 0, 0, 65535, torch.int32); aten_sigmoid_default_4 = None 2025-06-05T23:26:40.4907056Z quantized_decomposed_dequantize_per_tensor_default_1170: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_794, 1.52587890625e-05, 0, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_794 = None 2025-06-05T23:26:40.4908299Z aten_mul_tensor_73: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1168, quantized_decomposed_dequantize_per_tensor_default_1170); quantized_decomposed_dequantize_per_tensor_default_1168 = quantized_decomposed_dequantize_per_tensor_default_1170 = None 2025-06-05T23:26:40.4909161Z quantized_decomposed_quantize_per_tensor_default_795: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_73, 0.0001278657728107646, 2178, 0, 65535, torch.int32); aten_mul_tensor_73 = None 2025-06-05T23:26:40.4910315Z quantized_decomposed_dequantize_per_tensor_default_1171: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_795, 0.0001278657728107646, 2178, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_795 = None 2025-06-05T23:26:40.4910431Z 2025-06-05T23:26:40.4911048Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.4911915Z aten_unsqueeze_copy_default_53: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1162, -1); quantized_decomposed_dequantize_per_tensor_default_1162 = None 2025-06-05T23:26:40.4912874Z quantized_decomposed_quantize_per_tensor_default_796: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_53, 0.0003157795872539282, 17787, 0, 65535, torch.int32); aten_unsqueeze_copy_default_53 = None 2025-06-05T23:26:40.4912953Z 2025-06-05T23:26:40.4913366Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.4914538Z quantized_decomposed_dequantize_per_tensor_default_1172: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_796, 0.0003157795872539282, 17787, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_796 = None 2025-06-05T23:26:40.4915374Z aten_permute_copy_default_201: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1172, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1172 = None 2025-06-05T23:26:40.4916330Z quantized_decomposed_quantize_per_tensor_default_797: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_201, 0.0003157795872539282, 17787, 0, 65535, torch.int32); aten_permute_copy_default_201 = None 2025-06-05T23:26:40.4916411Z 2025-06-05T23:26:40.4916775Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.4917957Z quantized_decomposed_dequantize_per_tensor_default_1173: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_797, 0.0003157795872539282, 17787, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_797 = None 2025-06-05T23:26:40.4919260Z aten_convolution_default_33: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1173, quantized_decomposed_dequantize_per_tensor_default_44, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1173 = quantized_decomposed_dequantize_per_tensor_default_44 = None 2025-06-05T23:26:40.4920279Z quantized_decomposed_quantize_per_tensor_default_798: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_33, 0.0002493332722224295, 30131, 0, 65535, torch.int32); aten_convolution_default_33 = None 2025-06-05T23:26:40.4920357Z 2025-06-05T23:26:40.4920775Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.4921963Z quantized_decomposed_dequantize_per_tensor_default_1174: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_798, 0.0002493332722224295, 30131, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_798 = None 2025-06-05T23:26:40.4922805Z aten_permute_copy_default_202: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1174, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1174 = None 2025-06-05T23:26:40.4923771Z quantized_decomposed_quantize_per_tensor_default_799: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_202, 0.0002493332722224295, 30131, 0, 65535, torch.int32); aten_permute_copy_default_202 = None 2025-06-05T23:26:40.4923847Z 2025-06-05T23:26:40.4924384Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.4925563Z quantized_decomposed_dequantize_per_tensor_default_1175: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_799, 0.0002493332722224295, 30131, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_799 = None 2025-06-05T23:26:40.4926333Z aten_squeeze_copy_dims_53: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1175, [-1]); quantized_decomposed_dequantize_per_tensor_default_1175 = None 2025-06-05T23:26:40.4927302Z quantized_decomposed_quantize_per_tensor_default_800: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_53, 0.0002493332722224295, 30131, 0, 65535, torch.int32); aten_squeeze_copy_dims_53 = None 2025-06-05T23:26:40.4927391Z 2025-06-05T23:26:40.4927907Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:37 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-06-05T23:26:40.4929095Z quantized_decomposed_dequantize_per_tensor_default_1176: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_800, 0.0002493332722224295, 30131, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_800 = None 2025-06-05T23:26:40.4930251Z aten_mul_tensor_74: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1171, quantized_decomposed_dequantize_per_tensor_default_1176); quantized_decomposed_dequantize_per_tensor_default_1171 = quantized_decomposed_dequantize_per_tensor_default_1176 = None 2025-06-05T23:26:40.4931115Z quantized_decomposed_quantize_per_tensor_default_801: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_74, 0.0006259557558223605, 32226, 0, 65535, torch.int32); aten_mul_tensor_74 = None 2025-06-05T23:26:40.4931203Z 2025-06-05T23:26:40.4931750Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.4932936Z quantized_decomposed_dequantize_per_tensor_default_1177: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_801, 0.0006259557558223605, 32226, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_801 = None 2025-06-05T23:26:40.4933771Z aten_unsqueeze_copy_default_54: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1177, -1); quantized_decomposed_dequantize_per_tensor_default_1177 = None 2025-06-05T23:26:40.4934728Z quantized_decomposed_quantize_per_tensor_default_802: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_54, 0.0006259557558223605, 32226, 0, 65535, torch.int32); aten_unsqueeze_copy_default_54 = None 2025-06-05T23:26:40.4934847Z 2025-06-05T23:26:40.4935248Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.4936411Z quantized_decomposed_dequantize_per_tensor_default_1178: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_802, 0.0006259557558223605, 32226, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_802 = None 2025-06-05T23:26:40.4937233Z aten_permute_copy_default_203: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1178, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1178 = None 2025-06-05T23:26:40.4938192Z quantized_decomposed_quantize_per_tensor_default_803: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_203, 0.0006259557558223605, 32226, 0, 65535, torch.int32); aten_permute_copy_default_203 = None 2025-06-05T23:26:40.4938269Z 2025-06-05T23:26:40.4938640Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.4939829Z quantized_decomposed_dequantize_per_tensor_default_1179: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_803, 0.0006259557558223605, 32226, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_803 = None 2025-06-05T23:26:40.4941143Z aten_convolution_default_34: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1179, quantized_decomposed_dequantize_per_tensor_default_45, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1179 = quantized_decomposed_dequantize_per_tensor_default_45 = None 2025-06-05T23:26:40.4942079Z quantized_decomposed_quantize_per_tensor_default_804: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_34, 0.0005451498436741531, 6186, 0, 65535, torch.int32); aten_convolution_default_34 = None 2025-06-05T23:26:40.4942157Z 2025-06-05T23:26:40.4942587Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.4943747Z quantized_decomposed_dequantize_per_tensor_default_1180: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_804, 0.0005451498436741531, 6186, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_804 = None 2025-06-05T23:26:40.4944621Z aten_permute_copy_default_204: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1180, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1180 = None 2025-06-05T23:26:40.4945575Z quantized_decomposed_quantize_per_tensor_default_805: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_204, 0.0005451498436741531, 6186, 0, 65535, torch.int32); aten_permute_copy_default_204 = None 2025-06-05T23:26:40.4945652Z 2025-06-05T23:26:40.4946202Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.4947396Z quantized_decomposed_dequantize_per_tensor_default_1181: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_805, 0.0005451498436741531, 6186, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_805 = None 2025-06-05T23:26:40.4948159Z aten_squeeze_copy_dims_54: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1181, [-1]); quantized_decomposed_dequantize_per_tensor_default_1181 = None 2025-06-05T23:26:40.4949103Z quantized_decomposed_quantize_per_tensor_default_806: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_54, 0.0005451498436741531, 6186, 0, 65535, torch.int32); aten_squeeze_copy_dims_54 = None 2025-06-05T23:26:40.4949179Z 2025-06-05T23:26:40.4949687Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:136 in forward, code: out = h + self.feed_forward(self.ffn_norm(h)) 2025-06-05T23:26:40.4950947Z quantized_decomposed_dequantize_per_tensor_default_1182: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_806, 0.0005451498436741531, 6186, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_806 = None 2025-06-05T23:26:40.4952122Z aten_add_tensor_24: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_1160, quantized_decomposed_dequantize_per_tensor_default_1182); quantized_decomposed_dequantize_per_tensor_default_1160 = quantized_decomposed_dequantize_per_tensor_default_1182 = None 2025-06-05T23:26:40.4952985Z quantized_decomposed_quantize_per_tensor_default_807: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_24, 0.0026261727325618267, 6169, 0, 65535, torch.int32); aten_add_tensor_24 = None 2025-06-05T23:26:40.4953065Z 2025-06-05T23:26:40.4953431Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:132 in forward, code: h = x + h 2025-06-05T23:26:40.4954367Z quantized_decomposed_dequantize_per_tensor_default_1183: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_807, 0.0026261727325618267, 6169, 0, 65535, torch.int32) 2025-06-05T23:26:40.4954443Z 2025-06-05T23:26:40.4955006Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:129 in forward, code: self.attention_norm(x), freqs_cos, freqs_sin, **attn_options 2025-06-05T23:26:40.4956206Z quantized_decomposed_dequantize_per_tensor_default_1184: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_807, 0.0026261727325618267, 6169, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_807 = None 2025-06-05T23:26:40.4956746Z aten_pow_tensor_scalar_10: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(quantized_decomposed_dequantize_per_tensor_default_1184, 2) 2025-06-05T23:26:40.4957203Z aten_mean_dim_10: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_mean_dim(aten_pow_tensor_scalar_10, [2], True); aten_pow_tensor_scalar_10 = None 2025-06-05T23:26:40.4957681Z aten_add_scalar_10: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_add_Scalar(aten_mean_dim_10, 9.999999747378752e-06); aten_mean_dim_10 = None 2025-06-05T23:26:40.4958099Z aten_rsqrt_default_10: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_rsqrt_default(aten_add_scalar_10); aten_add_scalar_10 = None 2025-06-05T23:26:40.4959001Z aten_mul_tensor_75: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1184, aten_rsqrt_default_10); quantized_decomposed_dequantize_per_tensor_default_1184 = aten_rsqrt_default_10 = None 2025-06-05T23:26:40.4959811Z aten_mul_tensor_76: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_75, quantized_decomposed_dequantize_per_tensor_default_46); aten_mul_tensor_75 = quantized_decomposed_dequantize_per_tensor_default_46 = None 2025-06-05T23:26:40.4960667Z quantized_decomposed_quantize_per_tensor_default_808: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_76, 0.000380539771867916, 30682, 0, 65535, torch.int32); aten_mul_tensor_76 = None 2025-06-05T23:26:40.4960757Z 2025-06-05T23:26:40.4961277Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.4962211Z quantized_decomposed_dequantize_per_tensor_default_1185: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_808, 0.000380539771867916, 30682, 0, 65535, torch.int32) 2025-06-05T23:26:40.4963201Z quantized_decomposed_dequantize_per_tensor_default_1186: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_808, 0.000380539771867916, 30682, 0, 65535, torch.int32) 2025-06-05T23:26:40.4964359Z quantized_decomposed_dequantize_per_tensor_default_1187: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_808, 0.000380539771867916, 30682, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_808 = None 2025-06-05T23:26:40.4965191Z aten_unsqueeze_copy_default_55: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1187, -1); quantized_decomposed_dequantize_per_tensor_default_1187 = None 2025-06-05T23:26:40.4966144Z quantized_decomposed_quantize_per_tensor_default_809: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_55, 0.000380539771867916, 30682, 0, 65535, torch.int32); aten_unsqueeze_copy_default_55 = None 2025-06-05T23:26:40.4966223Z 2025-06-05T23:26:40.4966639Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.4967832Z quantized_decomposed_dequantize_per_tensor_default_1188: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_809, 0.000380539771867916, 30682, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_809 = None 2025-06-05T23:26:40.4968670Z aten_permute_copy_default_205: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1188, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1188 = None 2025-06-05T23:26:40.4969615Z quantized_decomposed_quantize_per_tensor_default_810: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_205, 0.000380539771867916, 30682, 0, 65535, torch.int32); aten_permute_copy_default_205 = None 2025-06-05T23:26:40.4969690Z 2025-06-05T23:26:40.4970063Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.4971248Z quantized_decomposed_dequantize_per_tensor_default_1189: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_810, 0.000380539771867916, 30682, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_810 = None 2025-06-05T23:26:40.4972569Z aten_convolution_default_35: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1189, quantized_decomposed_dequantize_per_tensor_default_47, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1189 = quantized_decomposed_dequantize_per_tensor_default_47 = None 2025-06-05T23:26:40.4973757Z quantized_decomposed_quantize_per_tensor_default_811: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_35, 0.0003648563288152218, 32914, 0, 65535, torch.int32); aten_convolution_default_35 = None 2025-06-05T23:26:40.4973838Z 2025-06-05T23:26:40.4974261Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.4975508Z quantized_decomposed_dequantize_per_tensor_default_1190: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_811, 0.0003648563288152218, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_811 = None 2025-06-05T23:26:40.4976314Z aten_permute_copy_default_206: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1190, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1190 = None 2025-06-05T23:26:40.4977272Z quantized_decomposed_quantize_per_tensor_default_812: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_206, 0.0003648563288152218, 32914, 0, 65535, torch.int32); aten_permute_copy_default_206 = None 2025-06-05T23:26:40.4977351Z 2025-06-05T23:26:40.4977891Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.4979066Z quantized_decomposed_dequantize_per_tensor_default_1191: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_812, 0.0003648563288152218, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_812 = None 2025-06-05T23:26:40.4979829Z aten_squeeze_copy_dims_55: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1191, [-1]); quantized_decomposed_dequantize_per_tensor_default_1191 = None 2025-06-05T23:26:40.4980834Z quantized_decomposed_quantize_per_tensor_default_813: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_55, 0.0003648563288152218, 32914, 0, 65535, torch.int32); aten_squeeze_copy_dims_55 = None 2025-06-05T23:26:40.4980909Z 2025-06-05T23:26:40.4981428Z # File: /pytorch/executorch/examples/models/llama/attention.py:405 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim) 2025-06-05T23:26:40.4982598Z quantized_decomposed_dequantize_per_tensor_default_1192: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_813, 0.0003648563288152218, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_813 = None 2025-06-05T23:26:40.4982711Z 2025-06-05T23:26:40.4983228Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.4984061Z aten_unsqueeze_copy_default_56: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1186, -1); quantized_decomposed_dequantize_per_tensor_default_1186 = None 2025-06-05T23:26:40.4985013Z quantized_decomposed_quantize_per_tensor_default_814: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_56, 0.000380539771867916, 30682, 0, 65535, torch.int32); aten_unsqueeze_copy_default_56 = None 2025-06-05T23:26:40.4985091Z 2025-06-05T23:26:40.4985508Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.4986680Z quantized_decomposed_dequantize_per_tensor_default_1193: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_814, 0.000380539771867916, 30682, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_814 = None 2025-06-05T23:26:40.4987533Z aten_permute_copy_default_207: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1193, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1193 = None 2025-06-05T23:26:40.4988478Z quantized_decomposed_quantize_per_tensor_default_815: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_207, 0.000380539771867916, 30682, 0, 65535, torch.int32); aten_permute_copy_default_207 = None 2025-06-05T23:26:40.4988555Z 2025-06-05T23:26:40.4988930Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.4990092Z quantized_decomposed_dequantize_per_tensor_default_1194: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_815, 0.000380539771867916, 30682, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_815 = None 2025-06-05T23:26:40.4991469Z aten_convolution_default_36: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1194, quantized_decomposed_dequantize_per_tensor_default_48, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1194 = quantized_decomposed_dequantize_per_tensor_default_48 = None 2025-06-05T23:26:40.4992477Z quantized_decomposed_quantize_per_tensor_default_816: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_36, 0.0004354633274488151, 30890, 0, 65535, torch.int32); aten_convolution_default_36 = None 2025-06-05T23:26:40.4992580Z 2025-06-05T23:26:40.4993014Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.4994180Z quantized_decomposed_dequantize_per_tensor_default_1195: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_816, 0.0004354633274488151, 30890, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_816 = None 2025-06-05T23:26:40.4994992Z aten_permute_copy_default_208: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1195, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1195 = None 2025-06-05T23:26:40.4995983Z quantized_decomposed_quantize_per_tensor_default_817: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_208, 0.0004354633274488151, 30890, 0, 65535, torch.int32); aten_permute_copy_default_208 = None 2025-06-05T23:26:40.4996061Z 2025-06-05T23:26:40.4996603Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.4997782Z quantized_decomposed_dequantize_per_tensor_default_1196: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_817, 0.0004354633274488151, 30890, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_817 = None 2025-06-05T23:26:40.4998547Z aten_squeeze_copy_dims_56: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1196, [-1]); quantized_decomposed_dequantize_per_tensor_default_1196 = None 2025-06-05T23:26:40.4999472Z quantized_decomposed_quantize_per_tensor_default_818: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_56, 0.0004354633274488151, 30890, 0, 65535, torch.int32); aten_squeeze_copy_dims_56 = None 2025-06-05T23:26:40.4999579Z 2025-06-05T23:26:40.5000108Z # File: /pytorch/executorch/examples/models/llama/attention.py:406 in forward, code: k = k.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim) 2025-06-05T23:26:40.5001290Z quantized_decomposed_dequantize_per_tensor_default_1197: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_818, 0.0004354633274488151, 30890, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_818 = None 2025-06-05T23:26:40.5001371Z 2025-06-05T23:26:40.5001890Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.5002715Z aten_unsqueeze_copy_default_57: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1185, -1); quantized_decomposed_dequantize_per_tensor_default_1185 = None 2025-06-05T23:26:40.5003674Z quantized_decomposed_quantize_per_tensor_default_819: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_57, 0.000380539771867916, 30682, 0, 65535, torch.int32); aten_unsqueeze_copy_default_57 = None 2025-06-05T23:26:40.5003751Z 2025-06-05T23:26:40.5004199Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.5005390Z quantized_decomposed_dequantize_per_tensor_default_1198: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_819, 0.000380539771867916, 30682, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_819 = None 2025-06-05T23:26:40.5006214Z aten_permute_copy_default_209: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1198, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1198 = None 2025-06-05T23:26:40.5007156Z quantized_decomposed_quantize_per_tensor_default_820: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_209, 0.000380539771867916, 30682, 0, 65535, torch.int32); aten_permute_copy_default_209 = None 2025-06-05T23:26:40.5007272Z 2025-06-05T23:26:40.5007644Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.5008801Z quantized_decomposed_dequantize_per_tensor_default_1199: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_820, 0.000380539771867916, 30682, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_820 = None 2025-06-05T23:26:40.5010103Z aten_convolution_default_37: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1199, quantized_decomposed_dequantize_per_tensor_default_49, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1199 = quantized_decomposed_dequantize_per_tensor_default_49 = None 2025-06-05T23:26:40.5011054Z quantized_decomposed_quantize_per_tensor_default_821: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_37, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_convolution_default_37 = None 2025-06-05T23:26:40.5011129Z 2025-06-05T23:26:40.5011589Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.5012752Z quantized_decomposed_dequantize_per_tensor_default_1200: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_821, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_821 = None 2025-06-05T23:26:40.5013559Z aten_permute_copy_default_210: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1200, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1200 = None 2025-06-05T23:26:40.5014524Z quantized_decomposed_quantize_per_tensor_default_822: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_210, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_permute_copy_default_210 = None 2025-06-05T23:26:40.5014599Z 2025-06-05T23:26:40.5015139Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.5016342Z quantized_decomposed_dequantize_per_tensor_default_1201: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_822, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_822 = None 2025-06-05T23:26:40.5017122Z aten_squeeze_copy_dims_57: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1201, [-1]); quantized_decomposed_dequantize_per_tensor_default_1201 = None 2025-06-05T23:26:40.5018046Z quantized_decomposed_quantize_per_tensor_default_823: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_57, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_squeeze_copy_dims_57 = None 2025-06-05T23:26:40.5018121Z 2025-06-05T23:26:40.5018649Z # File: /pytorch/executorch/examples/models/llama/attention.py:407 in forward, code: v = v.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim) 2025-06-05T23:26:40.5019913Z quantized_decomposed_dequantize_per_tensor_default_1202: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_823, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_823 = None 2025-06-05T23:26:40.5019990Z 2025-06-05T23:26:40.5020503Z # File: /pytorch/executorch/examples/models/llama/attention.py:405 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim) 2025-06-05T23:26:40.5021294Z aten_view_copy_default_90: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1192, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_1192 = None 2025-06-05T23:26:40.5022204Z quantized_decomposed_quantize_per_tensor_default_824: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_90, 0.0003648563288152218, 32914, 0, 65535, torch.int32); aten_view_copy_default_90 = None 2025-06-05T23:26:40.5022284Z 2025-06-05T23:26:40.5022822Z # File: /pytorch/executorch/examples/models/llama/rope.py:84 in apply_rotary_emb, code: xq_r, xq_i = xq.float().reshape(xq.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.5024007Z quantized_decomposed_dequantize_per_tensor_default_1203: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_824, 0.0003648563288152218, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_824 = None 2025-06-05T23:26:40.5024097Z 2025-06-05T23:26:40.5024621Z # File: /pytorch/executorch/examples/models/llama/attention.py:406 in forward, code: k = k.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim) 2025-06-05T23:26:40.5025394Z aten_view_copy_default_91: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1197, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_1197 = None 2025-06-05T23:26:40.5026451Z quantized_decomposed_quantize_per_tensor_default_825: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_91, 0.0004354633274488151, 30890, 0, 65535, torch.int32); aten_view_copy_default_91 = None 2025-06-05T23:26:40.5026532Z 2025-06-05T23:26:40.5027057Z # File: /pytorch/executorch/examples/models/llama/rope.py:85 in apply_rotary_emb, code: xk_r, xk_i = xk.float().reshape(xk.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.5028263Z quantized_decomposed_dequantize_per_tensor_default_1204: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_825, 0.0004354633274488151, 30890, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_825 = None 2025-06-05T23:26:40.5028367Z 2025-06-05T23:26:40.5028892Z # File: /pytorch/executorch/examples/models/llama/attention.py:407 in forward, code: v = v.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim) 2025-06-05T23:26:40.5029682Z aten_view_copy_default_92: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1202, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_1202 = None 2025-06-05T23:26:40.5030614Z quantized_decomposed_quantize_per_tensor_default_826: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_92, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_view_copy_default_92 = None 2025-06-05T23:26:40.5030775Z 2025-06-05T23:26:40.5031545Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:511 in update, code: v_out = torch.ops.aten.index_put_(self.past_v_caches, [None, input_pos], v_val) 2025-06-05T23:26:40.5032742Z quantized_decomposed_dequantize_per_tensor_default_1205: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_826, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_826 = None 2025-06-05T23:26:40.5032855Z 2025-06-05T23:26:40.5033384Z # File: /pytorch/executorch/examples/models/llama/rope.py:84 in apply_rotary_emb, code: xq_r, xq_i = xq.float().reshape(xq.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.5034181Z aten_view_copy_default_93: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1203, [1, 1, 12, -1, 2]); quantized_decomposed_dequantize_per_tensor_default_1203 = None 2025-06-05T23:26:40.5035116Z quantized_decomposed_quantize_per_tensor_default_827: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_93, 0.0003648563288152218, 32914, 0, 65535, torch.int32); aten_view_copy_default_93 = None 2025-06-05T23:26:40.5036346Z quantized_decomposed_dequantize_per_tensor_default_1206: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_827, 0.0003648563288152218, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_827 = None 2025-06-05T23:26:40.5036901Z aten_slice_copy_tensor_20: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_1206, 4, 0, 1) 2025-06-05T23:26:40.5037674Z aten_slice_copy_tensor_21: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_1206, 4, 1, 2); quantized_decomposed_dequantize_per_tensor_default_1206 = None 2025-06-05T23:26:40.5038201Z aten_squeeze_copy_dims_58: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_20, [4]); aten_slice_copy_tensor_20 = None 2025-06-05T23:26:40.5038741Z aten_squeeze_copy_dims_59: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_21, [4]); aten_slice_copy_tensor_21 = None 2025-06-05T23:26:40.5039669Z quantized_decomposed_quantize_per_tensor_default_828: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_58, 0.0003648563288152218, 32914, 0, 65535, torch.int32); aten_squeeze_copy_dims_58 = None 2025-06-05T23:26:40.5039764Z 2025-06-05T23:26:40.5040306Z # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos 2025-06-05T23:26:40.5041234Z quantized_decomposed_dequantize_per_tensor_default_1207: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_828, 0.0003648563288152218, 32914, 0, 65535, torch.int32) 2025-06-05T23:26:40.5041328Z 2025-06-05T23:26:40.5041834Z # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin 2025-06-05T23:26:40.5042999Z quantized_decomposed_dequantize_per_tensor_default_1208: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_828, 0.0003648563288152218, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_828 = None 2025-06-05T23:26:40.5043141Z 2025-06-05T23:26:40.5043665Z # File: /pytorch/executorch/examples/models/llama/rope.py:84 in apply_rotary_emb, code: xq_r, xq_i = xq.float().reshape(xq.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.5044588Z quantized_decomposed_quantize_per_tensor_default_829: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_59, 0.0003648563288152218, 32914, 0, 65535, torch.int32); aten_squeeze_copy_dims_59 = None 2025-06-05T23:26:40.5044678Z 2025-06-05T23:26:40.5045148Z # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin 2025-06-05T23:26:40.5046083Z quantized_decomposed_dequantize_per_tensor_default_1209: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_829, 0.0003648563288152218, 32914, 0, 65535, torch.int32) 2025-06-05T23:26:40.5046176Z 2025-06-05T23:26:40.5046644Z # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos 2025-06-05T23:26:40.5047840Z quantized_decomposed_dequantize_per_tensor_default_1210: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_829, 0.0003648563288152218, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_829 = None 2025-06-05T23:26:40.5047931Z 2025-06-05T23:26:40.5048454Z # File: /pytorch/executorch/examples/models/llama/rope.py:85 in apply_rotary_emb, code: xk_r, xk_i = xk.float().reshape(xk.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.5049240Z aten_view_copy_default_94: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1204, [1, 1, 12, -1, 2]); quantized_decomposed_dequantize_per_tensor_default_1204 = None 2025-06-05T23:26:40.5050164Z quantized_decomposed_quantize_per_tensor_default_830: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_94, 0.0004354633274488151, 30890, 0, 65535, torch.int32); aten_view_copy_default_94 = None 2025-06-05T23:26:40.5051329Z quantized_decomposed_dequantize_per_tensor_default_1211: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_830, 0.0004354633274488151, 30890, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_830 = None 2025-06-05T23:26:40.5051910Z aten_slice_copy_tensor_22: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_1211, 4, 0, 1) 2025-06-05T23:26:40.5052703Z aten_slice_copy_tensor_23: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_1211, 4, 1, 2); quantized_decomposed_dequantize_per_tensor_default_1211 = None 2025-06-05T23:26:40.5053223Z aten_squeeze_copy_dims_60: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_22, [4]); aten_slice_copy_tensor_22 = None 2025-06-05T23:26:40.5053768Z aten_squeeze_copy_dims_61: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_23, [4]); aten_slice_copy_tensor_23 = None 2025-06-05T23:26:40.5054684Z quantized_decomposed_quantize_per_tensor_default_831: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_60, 0.0004354633274488151, 30890, 0, 65535, torch.int32); aten_squeeze_copy_dims_60 = None 2025-06-05T23:26:40.5054807Z 2025-06-05T23:26:40.5055282Z # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos 2025-06-05T23:26:40.5056205Z quantized_decomposed_dequantize_per_tensor_default_1212: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_831, 0.0004354633274488151, 30890, 0, 65535, torch.int32) 2025-06-05T23:26:40.5056297Z 2025-06-05T23:26:40.5056767Z # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin 2025-06-05T23:26:40.5057933Z quantized_decomposed_dequantize_per_tensor_default_1213: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_831, 0.0004354633274488151, 30890, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_831 = None 2025-06-05T23:26:40.5058029Z 2025-06-05T23:26:40.5058547Z # File: /pytorch/executorch/examples/models/llama/rope.py:85 in apply_rotary_emb, code: xk_r, xk_i = xk.float().reshape(xk.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.5059487Z quantized_decomposed_quantize_per_tensor_default_832: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_61, 0.0004354633274488151, 30890, 0, 65535, torch.int32); aten_squeeze_copy_dims_61 = None 2025-06-05T23:26:40.5059577Z 2025-06-05T23:26:40.5060052Z # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin 2025-06-05T23:26:40.5060983Z quantized_decomposed_dequantize_per_tensor_default_1214: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_832, 0.0004354633274488151, 30890, 0, 65535, torch.int32) 2025-06-05T23:26:40.5061074Z 2025-06-05T23:26:40.5061539Z # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos 2025-06-05T23:26:40.5062707Z quantized_decomposed_dequantize_per_tensor_default_1215: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_832, 0.0004354633274488151, 30890, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_832 = None 2025-06-05T23:26:40.5062800Z 2025-06-05T23:26:40.5063236Z # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape) 2025-06-05T23:26:40.5064057Z aten_view_copy_default_95: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_157, [1, 1, 1, 32]); quantized_decomposed_dequantize_per_tensor_default_157 = None 2025-06-05T23:26:40.5065003Z quantized_decomposed_quantize_per_tensor_default_833: "i32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_95, 3.051804378628731e-05, 32768, 0, 65535, torch.int32); aten_view_copy_default_95 = None 2025-06-05T23:26:40.5065082Z 2025-06-05T23:26:40.5065563Z # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos 2025-06-05T23:26:40.5066525Z quantized_decomposed_dequantize_per_tensor_default_1216: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_833, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-06-05T23:26:40.5066607Z 2025-06-05T23:26:40.5067084Z # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin 2025-06-05T23:26:40.5068015Z quantized_decomposed_dequantize_per_tensor_default_1217: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_833, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-06-05T23:26:40.5068090Z 2025-06-05T23:26:40.5068571Z # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos 2025-06-05T23:26:40.5069498Z quantized_decomposed_dequantize_per_tensor_default_1218: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_833, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-06-05T23:26:40.5069578Z 2025-06-05T23:26:40.5070056Z # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin 2025-06-05T23:26:40.5071333Z quantized_decomposed_dequantize_per_tensor_default_1219: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_833, 3.051804378628731e-05, 32768, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_833 = None 2025-06-05T23:26:40.5071413Z 2025-06-05T23:26:40.5071867Z # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape) 2025-06-05T23:26:40.5072804Z aten_view_copy_default_96: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_169, [1, 1, 1, 32]); quantized_decomposed_dequantize_per_tensor_default_169 = None 2025-06-05T23:26:40.5073752Z quantized_decomposed_quantize_per_tensor_default_834: "i32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_96, 3.051786916330457e-05, 32767, 0, 65535, torch.int32); aten_view_copy_default_96 = None 2025-06-05T23:26:40.5073844Z 2025-06-05T23:26:40.5074315Z # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin 2025-06-05T23:26:40.5075237Z quantized_decomposed_dequantize_per_tensor_default_1220: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_834, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-06-05T23:26:40.5075465Z 2025-06-05T23:26:40.5075936Z # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos 2025-06-05T23:26:40.5076872Z quantized_decomposed_dequantize_per_tensor_default_1221: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_834, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-06-05T23:26:40.5076949Z 2025-06-05T23:26:40.5077417Z # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin 2025-06-05T23:26:40.5078361Z quantized_decomposed_dequantize_per_tensor_default_1222: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_834, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-06-05T23:26:40.5078496Z 2025-06-05T23:26:40.5078962Z # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos 2025-06-05T23:26:40.5080135Z quantized_decomposed_dequantize_per_tensor_default_1223: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_834, 3.051786916330457e-05, 32767, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_834 = None 2025-06-05T23:26:40.5080214Z 2025-06-05T23:26:40.5080684Z # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin 2025-06-05T23:26:40.5081866Z aten_mul_tensor_77: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1208, quantized_decomposed_dequantize_per_tensor_default_1219); quantized_decomposed_dequantize_per_tensor_default_1208 = quantized_decomposed_dequantize_per_tensor_default_1219 = None 2025-06-05T23:26:40.5082777Z quantized_decomposed_quantize_per_tensor_default_835: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_77, 0.0002772713196463883, 29395, 0, 65535, torch.int32); aten_mul_tensor_77 = None 2025-06-05T23:26:40.5083944Z quantized_decomposed_dequantize_per_tensor_default_1224: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_835, 0.0002772713196463883, 29395, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_835 = None 2025-06-05T23:26:40.5085124Z aten_mul_tensor_78: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1209, quantized_decomposed_dequantize_per_tensor_default_1222); quantized_decomposed_dequantize_per_tensor_default_1209 = quantized_decomposed_dequantize_per_tensor_default_1222 = None 2025-06-05T23:26:40.5085997Z quantized_decomposed_quantize_per_tensor_default_836: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_78, 0.00015570834511891007, 31919, 0, 65535, torch.int32); aten_mul_tensor_78 = None 2025-06-05T23:26:40.5087179Z quantized_decomposed_dequantize_per_tensor_default_1225: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_836, 0.00015570834511891007, 31919, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_836 = None 2025-06-05T23:26:40.5088349Z aten_sub_tensor_10: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(quantized_decomposed_dequantize_per_tensor_default_1224, quantized_decomposed_dequantize_per_tensor_default_1225); quantized_decomposed_dequantize_per_tensor_default_1224 = quantized_decomposed_dequantize_per_tensor_default_1225 = None 2025-06-05T23:26:40.5089244Z quantized_decomposed_quantize_per_tensor_default_837: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sub_tensor_10, 0.0003545602085068822, 32712, 0, 65535, torch.int32); aten_sub_tensor_10 = None 2025-06-05T23:26:40.5089318Z 2025-06-05T23:26:40.5090270Z # File: .74:3100 in forward, code: dequantize_per_tensor_default_991 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_991, 0.0003545602085068822, 32712, 0, 65535, torch.int32); quantize_per_tensor_default_991 = None 2025-06-05T23:26:40.5091473Z quantized_decomposed_dequantize_per_tensor_default_1226: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_837, 0.0003545602085068822, 32712, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_837 = None 2025-06-05T23:26:40.5091553Z 2025-06-05T23:26:40.5092033Z # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos 2025-06-05T23:26:40.5093198Z aten_mul_tensor_79: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1207, quantized_decomposed_dequantize_per_tensor_default_1223); quantized_decomposed_dequantize_per_tensor_default_1207 = quantized_decomposed_dequantize_per_tensor_default_1223 = None 2025-06-05T23:26:40.5094074Z quantized_decomposed_quantize_per_tensor_default_838: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_79, 0.00017529382603242993, 34419, 0, 65535, torch.int32); aten_mul_tensor_79 = None 2025-06-05T23:26:40.5095281Z quantized_decomposed_dequantize_per_tensor_default_1227: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_838, 0.00017529382603242993, 34419, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_838 = None 2025-06-05T23:26:40.5096428Z aten_mul_tensor_80: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1210, quantized_decomposed_dequantize_per_tensor_default_1218); quantized_decomposed_dequantize_per_tensor_default_1210 = quantized_decomposed_dequantize_per_tensor_default_1218 = None 2025-06-05T23:26:40.5097306Z quantized_decomposed_quantize_per_tensor_default_839: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_80, 0.0003621247597038746, 32927, 0, 65535, torch.int32); aten_mul_tensor_80 = None 2025-06-05T23:26:40.5098473Z quantized_decomposed_dequantize_per_tensor_default_1228: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_839, 0.0003621247597038746, 32927, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_839 = None 2025-06-05T23:26:40.5099627Z aten_add_tensor_25: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_1227, quantized_decomposed_dequantize_per_tensor_default_1228); quantized_decomposed_dequantize_per_tensor_default_1227 = quantized_decomposed_dequantize_per_tensor_default_1228 = None 2025-06-05T23:26:40.5100528Z quantized_decomposed_quantize_per_tensor_default_840: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_25, 0.0003545602085068822, 32712, 0, 65535, torch.int32); aten_add_tensor_25 = None 2025-06-05T23:26:40.5100640Z 2025-06-05T23:26:40.5101591Z # File: .74:3109 in forward, code: dequantize_per_tensor_default_994 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_994, 0.0003545602085068822, 32712, 0, 65535, torch.int32); quantize_per_tensor_default_994 = None 2025-06-05T23:26:40.5102766Z quantized_decomposed_dequantize_per_tensor_default_1229: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_840, 0.0003545602085068822, 32712, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_840 = None 2025-06-05T23:26:40.5102871Z 2025-06-05T23:26:40.5103362Z # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin 2025-06-05T23:26:40.5104517Z aten_mul_tensor_81: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1213, quantized_decomposed_dequantize_per_tensor_default_1217); quantized_decomposed_dequantize_per_tensor_default_1213 = quantized_decomposed_dequantize_per_tensor_default_1217 = None 2025-06-05T23:26:40.5105388Z quantized_decomposed_quantize_per_tensor_default_841: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_81, 0.00038680178113281727, 30861, 0, 65535, torch.int32); aten_mul_tensor_81 = None 2025-06-05T23:26:40.5106586Z quantized_decomposed_dequantize_per_tensor_default_1230: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_841, 0.00038680178113281727, 30861, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_841 = None 2025-06-05T23:26:40.5107764Z aten_mul_tensor_82: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1214, quantized_decomposed_dequantize_per_tensor_default_1220); quantized_decomposed_dequantize_per_tensor_default_1214 = quantized_decomposed_dequantize_per_tensor_default_1220 = None 2025-06-05T23:26:40.5108643Z quantized_decomposed_quantize_per_tensor_default_842: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_82, 0.00020304229110479355, 35220, 0, 65535, torch.int32); aten_mul_tensor_82 = None 2025-06-05T23:26:40.5109808Z quantized_decomposed_dequantize_per_tensor_default_1231: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_842, 0.00020304229110479355, 35220, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_842 = None 2025-06-05T23:26:40.5111051Z aten_sub_tensor_11: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(quantized_decomposed_dequantize_per_tensor_default_1230, quantized_decomposed_dequantize_per_tensor_default_1231); quantized_decomposed_dequantize_per_tensor_default_1230 = quantized_decomposed_dequantize_per_tensor_default_1231 = None 2025-06-05T23:26:40.5111919Z quantized_decomposed_quantize_per_tensor_default_843: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sub_tensor_11, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_sub_tensor_11 = None 2025-06-05T23:26:40.5112000Z 2025-06-05T23:26:40.5112998Z # File: .74:3118 in forward, code: dequantize_per_tensor_default_997 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_997, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantize_per_tensor_default_997 = None 2025-06-05T23:26:40.5114212Z quantized_decomposed_dequantize_per_tensor_default_1232: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_843, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_843 = None 2025-06-05T23:26:40.5114290Z 2025-06-05T23:26:40.5114786Z # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos 2025-06-05T23:26:40.5115946Z aten_mul_tensor_83: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1212, quantized_decomposed_dequantize_per_tensor_default_1221); quantized_decomposed_dequantize_per_tensor_default_1212 = quantized_decomposed_dequantize_per_tensor_default_1221 = None 2025-06-05T23:26:40.5116889Z quantized_decomposed_quantize_per_tensor_default_844: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_83, 0.00019716918177437037, 32534, 0, 65535, torch.int32); aten_mul_tensor_83 = None 2025-06-05T23:26:40.5118058Z quantized_decomposed_dequantize_per_tensor_default_1233: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_844, 0.00019716918177437037, 32534, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_844 = None 2025-06-05T23:26:40.5119207Z aten_mul_tensor_84: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1215, quantized_decomposed_dequantize_per_tensor_default_1216); quantized_decomposed_dequantize_per_tensor_default_1215 = quantized_decomposed_dequantize_per_tensor_default_1216 = None 2025-06-05T23:26:40.5120089Z quantized_decomposed_quantize_per_tensor_default_845: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_84, 0.00042476155795156956, 31446, 0, 65535, torch.int32); aten_mul_tensor_84 = None 2025-06-05T23:26:40.5121299Z quantized_decomposed_dequantize_per_tensor_default_1234: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_845, 0.00042476155795156956, 31446, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_845 = None 2025-06-05T23:26:40.5122465Z aten_add_tensor_26: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_1233, quantized_decomposed_dequantize_per_tensor_default_1234); quantized_decomposed_dequantize_per_tensor_default_1233 = quantized_decomposed_dequantize_per_tensor_default_1234 = None 2025-06-05T23:26:40.5123421Z quantized_decomposed_quantize_per_tensor_default_846: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_26, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_add_tensor_26 = None 2025-06-05T23:26:40.5123507Z 2025-06-05T23:26:40.5124488Z # File: .74:3127 in forward, code: dequantize_per_tensor_default_1000 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1000, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantize_per_tensor_default_1000 = None 2025-06-05T23:26:40.5125684Z quantized_decomposed_dequantize_per_tensor_default_1235: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_846, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_846 = None 2025-06-05T23:26:40.5125800Z 2025-06-05T23:26:40.5126339Z # File: /pytorch/executorch/examples/models/llama/rope.py:95 in apply_rotary_emb, code: xq_out = torch.stack([xq_out_r, xq_out_i], dim=-1).flatten(3) 2025-06-05T23:26:40.5127156Z aten_unsqueeze_copy_default_58: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1226, 4); quantized_decomposed_dequantize_per_tensor_default_1226 = None 2025-06-05T23:26:40.5127968Z aten_unsqueeze_copy_default_59: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1229, 4); quantized_decomposed_dequantize_per_tensor_default_1229 = None 2025-06-05T23:26:40.5128759Z aten_cat_default_20: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_unsqueeze_copy_default_58, aten_unsqueeze_copy_default_59], -1); aten_unsqueeze_copy_default_58 = aten_unsqueeze_copy_default_59 = None 2025-06-05T23:26:40.5129647Z quantized_decomposed_quantize_per_tensor_default_847: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_20, 0.0003545602085068822, 32712, 0, 65535, torch.int32); aten_cat_default_20 = None 2025-06-05T23:26:40.5130861Z quantized_decomposed_dequantize_per_tensor_default_1236: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_847, 0.0003545602085068822, 32712, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_847 = None 2025-06-05T23:26:40.5131652Z aten_view_copy_default_97: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1236, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_1236 = None 2025-06-05T23:26:40.5132608Z quantized_decomposed_quantize_per_tensor_default_848: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_97, 0.0003545602085068822, 32712, 0, 65535, torch.int32); aten_view_copy_default_97 = None 2025-06-05T23:26:40.5132703Z 2025-06-05T23:26:40.5133666Z # File: .74:3133 in forward, code: dequantize_per_tensor_default_1002 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1002, 0.0003545602085068822, 32712, 0, 65535, torch.int32); quantize_per_tensor_default_1002 = None 2025-06-05T23:26:40.5134868Z quantized_decomposed_dequantize_per_tensor_default_1237: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_848, 0.0003545602085068822, 32712, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_848 = None 2025-06-05T23:26:40.5134950Z 2025-06-05T23:26:40.5135478Z # File: /pytorch/executorch/examples/models/llama/rope.py:96 in apply_rotary_emb, code: xk_out = torch.stack([xk_out_r, xk_out_i], dim=-1).flatten(3) 2025-06-05T23:26:40.5136306Z aten_unsqueeze_copy_default_60: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1232, 4); quantized_decomposed_dequantize_per_tensor_default_1232 = None 2025-06-05T23:26:40.5137117Z aten_unsqueeze_copy_default_61: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1235, 4); quantized_decomposed_dequantize_per_tensor_default_1235 = None 2025-06-05T23:26:40.5137913Z aten_cat_default_21: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_unsqueeze_copy_default_60, aten_unsqueeze_copy_default_61], -1); aten_unsqueeze_copy_default_60 = aten_unsqueeze_copy_default_61 = None 2025-06-05T23:26:40.5138813Z quantized_decomposed_quantize_per_tensor_default_849: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_21, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_cat_default_21 = None 2025-06-05T23:26:40.5139991Z quantized_decomposed_dequantize_per_tensor_default_1238: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_849, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_849 = None 2025-06-05T23:26:40.5140821Z aten_view_copy_default_98: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1238, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_1238 = None 2025-06-05T23:26:40.5141732Z quantized_decomposed_quantize_per_tensor_default_850: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_98, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_view_copy_default_98 = None 2025-06-05T23:26:40.5141812Z 2025-06-05T23:26:40.5142794Z # File: .74:3139 in forward, code: dequantize_per_tensor_default_1004 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1004, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantize_per_tensor_default_1004 = None 2025-06-05T23:26:40.5143967Z quantized_decomposed_dequantize_per_tensor_default_1239: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_850, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_850 = None 2025-06-05T23:26:40.5144065Z 2025-06-05T23:26:40.5144859Z # File: .74:3141 in forward, code: quantize_per_tensor_default_1005 = torch.ops.quantized_decomposed.quantize_per_tensor.default(type_as_10, 0.0003545602085068822, 32712, 0, 65535, torch.int32); type_as_10 = None 2025-06-05T23:26:40.5146029Z quantized_decomposed_quantize_per_tensor_default_851: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_1237, 0.0003545602085068822, 32712, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_1237 = None 2025-06-05T23:26:40.5146122Z 2025-06-05T23:26:40.5146658Z # File: /pytorch/executorch/examples/models/llama/attention.py:416 in forward, code: q = q.transpose(1, 2) # (bs, n_local_heads, seqlen, head_dim) 2025-06-05T23:26:40.5147827Z quantized_decomposed_dequantize_per_tensor_default_1240: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_851, 0.0003545602085068822, 32712, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_851 = None 2025-06-05T23:26:40.5147916Z 2025-06-05T23:26:40.5148683Z # File: .74:3144 in forward, code: quantize_per_tensor_default_1006 = torch.ops.quantized_decomposed.quantize_per_tensor.default(type_as_11, 0.0004216498928144574, 32136, 0, 65535, torch.int32); type_as_11 = None 2025-06-05T23:26:40.5149877Z quantized_decomposed_quantize_per_tensor_default_852: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_1239, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_1239 = None 2025-06-05T23:26:40.5149992Z 2025-06-05T23:26:40.5150672Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:510 in update, code: k_out = torch.ops.aten.index_put_(self.past_k_caches, [None, input_pos], k_val) 2025-06-05T23:26:40.5151925Z quantized_decomposed_dequantize_per_tensor_default_1241: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_852, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_852 = None 2025-06-05T23:26:40.5152041Z 2025-06-05T23:26:40.5152570Z # File: /pytorch/executorch/examples/models/llama/attention.py:416 in forward, code: q = q.transpose(1, 2) # (bs, n_local_heads, seqlen, head_dim) 2025-06-05T23:26:40.5153410Z aten_permute_copy_default_211: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1240, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1240 = None 2025-06-05T23:26:40.5154357Z quantized_decomposed_quantize_per_tensor_default_853: "i32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_211, 0.0003545602085068822, 32712, 0, 65535, torch.int32); aten_permute_copy_default_211 = None 2025-06-05T23:26:40.5154433Z 2025-06-05T23:26:40.5155023Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:324 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-06-05T23:26:40.5156190Z quantized_decomposed_dequantize_per_tensor_default_1242: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_853, 0.0003545602085068822, 32712, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_853 = None 2025-06-05T23:26:40.5156272Z 2025-06-05T23:26:40.5156741Z # File: /pytorch/executorch/examples/models/llama/attention.py:435 in forward, code: attn_mask = self.mask[input_pos] 2025-06-05T23:26:40.5157572Z aten_index_tensor_7: "f32[1, 128]" = executorch_exir_dialects_edge__ops_aten_index_Tensor(quantized_decomposed_dequantize_per_tensor_default_128, [attn_options_input_pos]); quantized_decomposed_dequantize_per_tensor_default_128 = None 2025-06-05T23:26:40.5158464Z quantized_decomposed_quantize_per_tensor_default_854: "i32[1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_tensor_7, 0.0038910505827516317, 65535, 0, 65535, torch.int32); aten_index_tensor_7 = None 2025-06-05T23:26:40.5158546Z 2025-06-05T23:26:40.5159030Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:325 in forward, code: attn_weight += attn_mask 2025-06-05T23:26:40.5160241Z quantized_decomposed_dequantize_per_tensor_default_1243: "f32[1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_854, 0.0038910505827516317, 65535, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_854 = None 2025-06-05T23:26:40.5160317Z 2025-06-05T23:26:40.5160992Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:510 in update, code: k_out = torch.ops.aten.index_put_(self.past_k_caches, [None, input_pos], k_val) 2025-06-05T23:26:40.5162351Z aten_index_put_default_10: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(quantized_decomposed_dequantize_per_tensor_default_129, [None, attn_options_input_pos], quantized_decomposed_dequantize_per_tensor_default_1241); quantized_decomposed_dequantize_per_tensor_default_129 = quantized_decomposed_dequantize_per_tensor_default_1241 = None 2025-06-05T23:26:40.5163298Z quantized_decomposed_quantize_per_tensor_default_855: "i32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_put_default_10, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_index_put_default_10 = None 2025-06-05T23:26:40.5163375Z 2025-06-05T23:26:40.5164190Z # File: .74:3154 in forward, code: dequantize_per_tensor_default_1009 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1009, 0.0004216498928144574, 32136, 0, 65535, torch.int32) 2025-06-05T23:26:40.5165161Z quantized_decomposed_dequantize_per_tensor_default_1244: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_855, 0.0004216498928144574, 32136, 0, 65535, torch.int32) 2025-06-05T23:26:40.5165240Z 2025-06-05T23:26:40.5165891Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.5166836Z quantized_decomposed_dequantize_per_tensor_default_1245: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_855, 0.0004216498928144574, 32136, 0, 65535, torch.int32) 2025-06-05T23:26:40.5167788Z quantized_decomposed_dequantize_per_tensor_default_1246: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_855, 0.0004216498928144574, 32136, 0, 65535, torch.int32) 2025-06-05T23:26:40.5168723Z quantized_decomposed_dequantize_per_tensor_default_1247: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_855, 0.0004216498928144574, 32136, 0, 65535, torch.int32) 2025-06-05T23:26:40.5169671Z quantized_decomposed_dequantize_per_tensor_default_1248: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_855, 0.0004216498928144574, 32136, 0, 65535, torch.int32) 2025-06-05T23:26:40.5170617Z quantized_decomposed_dequantize_per_tensor_default_1249: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_855, 0.0004216498928144574, 32136, 0, 65535, torch.int32) 2025-06-05T23:26:40.5171555Z quantized_decomposed_dequantize_per_tensor_default_1250: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_855, 0.0004216498928144574, 32136, 0, 65535, torch.int32) 2025-06-05T23:26:40.5172496Z quantized_decomposed_dequantize_per_tensor_default_1251: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_855, 0.0004216498928144574, 32136, 0, 65535, torch.int32) 2025-06-05T23:26:40.5173658Z quantized_decomposed_dequantize_per_tensor_default_1252: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_855, 0.0004216498928144574, 32136, 0, 65535, torch.int32) 2025-06-05T23:26:40.5174700Z quantized_decomposed_dequantize_per_tensor_default_1253: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_855, 0.0004216498928144574, 32136, 0, 65535, torch.int32) 2025-06-05T23:26:40.5175687Z quantized_decomposed_dequantize_per_tensor_default_1254: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_855, 0.0004216498928144574, 32136, 0, 65535, torch.int32) 2025-06-05T23:26:40.5176625Z quantized_decomposed_dequantize_per_tensor_default_1255: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_855, 0.0004216498928144574, 32136, 0, 65535, torch.int32) 2025-06-05T23:26:40.5177857Z quantized_decomposed_dequantize_per_tensor_default_1256: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_855, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_855 = None 2025-06-05T23:26:40.5177937Z 2025-06-05T23:26:40.5178614Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:511 in update, code: v_out = torch.ops.aten.index_put_(self.past_v_caches, [None, input_pos], v_val) 2025-06-05T23:26:40.5179944Z aten_index_put_default_11: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(quantized_decomposed_dequantize_per_tensor_default_130, [None, attn_options_input_pos], quantized_decomposed_dequantize_per_tensor_default_1205); quantized_decomposed_dequantize_per_tensor_default_130 = quantized_decomposed_dequantize_per_tensor_default_1205 = None 2025-06-05T23:26:40.5180888Z quantized_decomposed_quantize_per_tensor_default_856: "i32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_put_default_11, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_index_put_default_11 = None 2025-06-05T23:26:40.5180980Z 2025-06-05T23:26:40.5181817Z # File: .74:3169 in forward, code: dequantize_per_tensor_default_1010 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1010, 0.0001254916423931718, 28364, 0, 65535, torch.int32) 2025-06-05T23:26:40.5182752Z quantized_decomposed_dequantize_per_tensor_default_1257: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_856, 0.0001254916423931718, 28364, 0, 65535, torch.int32) 2025-06-05T23:26:40.5182840Z 2025-06-05T23:26:40.5183487Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.5184426Z quantized_decomposed_dequantize_per_tensor_default_1258: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_856, 0.0001254916423931718, 28364, 0, 65535, torch.int32) 2025-06-05T23:26:40.5185378Z quantized_decomposed_dequantize_per_tensor_default_1259: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_856, 0.0001254916423931718, 28364, 0, 65535, torch.int32) 2025-06-05T23:26:40.5186311Z quantized_decomposed_dequantize_per_tensor_default_1260: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_856, 0.0001254916423931718, 28364, 0, 65535, torch.int32) 2025-06-05T23:26:40.5187305Z quantized_decomposed_dequantize_per_tensor_default_1261: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_856, 0.0001254916423931718, 28364, 0, 65535, torch.int32) 2025-06-05T23:26:40.5188236Z quantized_decomposed_dequantize_per_tensor_default_1262: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_856, 0.0001254916423931718, 28364, 0, 65535, torch.int32) 2025-06-05T23:26:40.5189167Z quantized_decomposed_dequantize_per_tensor_default_1263: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_856, 0.0001254916423931718, 28364, 0, 65535, torch.int32) 2025-06-05T23:26:40.5190141Z quantized_decomposed_dequantize_per_tensor_default_1264: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_856, 0.0001254916423931718, 28364, 0, 65535, torch.int32) 2025-06-05T23:26:40.5191184Z quantized_decomposed_dequantize_per_tensor_default_1265: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_856, 0.0001254916423931718, 28364, 0, 65535, torch.int32) 2025-06-05T23:26:40.5192132Z quantized_decomposed_dequantize_per_tensor_default_1266: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_856, 0.0001254916423931718, 28364, 0, 65535, torch.int32) 2025-06-05T23:26:40.5193074Z quantized_decomposed_dequantize_per_tensor_default_1267: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_856, 0.0001254916423931718, 28364, 0, 65535, torch.int32) 2025-06-05T23:26:40.5194022Z quantized_decomposed_dequantize_per_tensor_default_1268: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_856, 0.0001254916423931718, 28364, 0, 65535, torch.int32) 2025-06-05T23:26:40.5195221Z quantized_decomposed_dequantize_per_tensor_default_1269: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_856, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_856 = None 2025-06-05T23:26:40.5195298Z 2025-06-05T23:26:40.5195949Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.5196766Z aten_permute_copy_default_212: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1256, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1256 = None 2025-06-05T23:26:40.5197717Z quantized_decomposed_quantize_per_tensor_default_857: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_212, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_permute_copy_default_212 = None 2025-06-05T23:26:40.5198909Z quantized_decomposed_dequantize_per_tensor_default_1270: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_857, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_857 = None 2025-06-05T23:26:40.5199712Z aten_select_copy_int_240: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1270, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1270 = None 2025-06-05T23:26:40.5200636Z quantized_decomposed_quantize_per_tensor_default_858: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_240, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_select_copy_int_240 = None 2025-06-05T23:26:40.5201802Z quantized_decomposed_dequantize_per_tensor_default_1271: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_858, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_858 = None 2025-06-05T23:26:40.5202591Z aten_select_copy_int_241: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1271, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1271 = None 2025-06-05T23:26:40.5203488Z quantized_decomposed_quantize_per_tensor_default_859: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_241, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_select_copy_int_241 = None 2025-06-05T23:26:40.5203563Z 2025-06-05T23:26:40.5204532Z # File: .74:3190 in forward, code: dequantize_per_tensor_default_1013 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1013, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantize_per_tensor_default_1013 = None 2025-06-05T23:26:40.5205695Z quantized_decomposed_dequantize_per_tensor_default_1272: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_859, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_859 = None 2025-06-05T23:26:40.5205772Z 2025-06-05T23:26:40.5206470Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.5207291Z aten_permute_copy_default_213: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1255, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1255 = None 2025-06-05T23:26:40.5208264Z quantized_decomposed_quantize_per_tensor_default_860: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_213, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_permute_copy_default_213 = None 2025-06-05T23:26:40.5209446Z quantized_decomposed_dequantize_per_tensor_default_1273: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_860, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_860 = None 2025-06-05T23:26:40.5210197Z aten_select_copy_int_242: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1273, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1273 = None 2025-06-05T23:26:40.5211120Z quantized_decomposed_quantize_per_tensor_default_861: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_242, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_select_copy_int_242 = None 2025-06-05T23:26:40.5212328Z quantized_decomposed_dequantize_per_tensor_default_1274: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_861, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_861 = None 2025-06-05T23:26:40.5213092Z aten_select_copy_int_243: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1274, 0, 1); quantized_decomposed_dequantize_per_tensor_default_1274 = None 2025-06-05T23:26:40.5213996Z quantized_decomposed_quantize_per_tensor_default_862: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_243, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_select_copy_int_243 = None 2025-06-05T23:26:40.5214102Z 2025-06-05T23:26:40.5215078Z # File: .74:3199 in forward, code: dequantize_per_tensor_default_1016 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1016, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantize_per_tensor_default_1016 = None 2025-06-05T23:26:40.5216252Z quantized_decomposed_dequantize_per_tensor_default_1275: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_862, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_862 = None 2025-06-05T23:26:40.5216329Z 2025-06-05T23:26:40.5216982Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.5217802Z aten_permute_copy_default_214: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1254, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1254 = None 2025-06-05T23:26:40.5218811Z quantized_decomposed_quantize_per_tensor_default_863: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_214, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_permute_copy_default_214 = None 2025-06-05T23:26:40.5219989Z quantized_decomposed_dequantize_per_tensor_default_1276: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_863, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_863 = None 2025-06-05T23:26:40.5220745Z aten_select_copy_int_244: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1276, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1276 = None 2025-06-05T23:26:40.5221664Z quantized_decomposed_quantize_per_tensor_default_864: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_244, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_select_copy_int_244 = None 2025-06-05T23:26:40.5222830Z quantized_decomposed_dequantize_per_tensor_default_1277: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_864, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_864 = None 2025-06-05T23:26:40.5223630Z aten_select_copy_int_245: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1277, 0, 2); quantized_decomposed_dequantize_per_tensor_default_1277 = None 2025-06-05T23:26:40.5224557Z quantized_decomposed_quantize_per_tensor_default_865: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_245, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_select_copy_int_245 = None 2025-06-05T23:26:40.5224632Z 2025-06-05T23:26:40.5225592Z # File: .74:3208 in forward, code: dequantize_per_tensor_default_1019 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1019, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantize_per_tensor_default_1019 = None 2025-06-05T23:26:40.5226748Z quantized_decomposed_dequantize_per_tensor_default_1278: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_865, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_865 = None 2025-06-05T23:26:40.5226852Z 2025-06-05T23:26:40.5227500Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.5228316Z aten_permute_copy_default_215: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1253, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1253 = None 2025-06-05T23:26:40.5229284Z quantized_decomposed_quantize_per_tensor_default_866: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_215, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_permute_copy_default_215 = None 2025-06-05T23:26:40.5230457Z quantized_decomposed_dequantize_per_tensor_default_1279: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_866, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_866 = None 2025-06-05T23:26:40.5231382Z aten_select_copy_int_246: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1279, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1279 = None 2025-06-05T23:26:40.5232306Z quantized_decomposed_quantize_per_tensor_default_867: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_246, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_select_copy_int_246 = None 2025-06-05T23:26:40.5233475Z quantized_decomposed_dequantize_per_tensor_default_1280: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_867, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_867 = None 2025-06-05T23:26:40.5234242Z aten_select_copy_int_247: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1280, 0, 3); quantized_decomposed_dequantize_per_tensor_default_1280 = None 2025-06-05T23:26:40.5235148Z quantized_decomposed_quantize_per_tensor_default_868: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_247, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_select_copy_int_247 = None 2025-06-05T23:26:40.5235244Z 2025-06-05T23:26:40.5236239Z # File: .74:3217 in forward, code: dequantize_per_tensor_default_1022 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1022, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantize_per_tensor_default_1022 = None 2025-06-05T23:26:40.5237433Z quantized_decomposed_dequantize_per_tensor_default_1281: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_868, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_868 = None 2025-06-05T23:26:40.5237525Z 2025-06-05T23:26:40.5238166Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.5238995Z aten_permute_copy_default_216: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1252, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1252 = None 2025-06-05T23:26:40.5239986Z quantized_decomposed_quantize_per_tensor_default_869: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_216, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_permute_copy_default_216 = None 2025-06-05T23:26:40.5241161Z quantized_decomposed_dequantize_per_tensor_default_1282: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_869, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_869 = None 2025-06-05T23:26:40.5241922Z aten_select_copy_int_248: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1282, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1282 = None 2025-06-05T23:26:40.5242825Z quantized_decomposed_quantize_per_tensor_default_870: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_248, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_select_copy_int_248 = None 2025-06-05T23:26:40.5244007Z quantized_decomposed_dequantize_per_tensor_default_1283: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_870, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_870 = None 2025-06-05T23:26:40.5244766Z aten_select_copy_int_249: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1283, 0, 4); quantized_decomposed_dequantize_per_tensor_default_1283 = None 2025-06-05T23:26:40.5245669Z quantized_decomposed_quantize_per_tensor_default_871: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_249, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_select_copy_int_249 = None 2025-06-05T23:26:40.5245746Z 2025-06-05T23:26:40.5246715Z # File: .74:3226 in forward, code: dequantize_per_tensor_default_1025 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1025, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantize_per_tensor_default_1025 = None 2025-06-05T23:26:40.5247873Z quantized_decomposed_dequantize_per_tensor_default_1284: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_871, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_871 = None 2025-06-05T23:26:40.5247997Z 2025-06-05T23:26:40.5248660Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.5249476Z aten_permute_copy_default_217: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1251, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1251 = None 2025-06-05T23:26:40.5250450Z quantized_decomposed_quantize_per_tensor_default_872: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_217, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_permute_copy_default_217 = None 2025-06-05T23:26:40.5251651Z quantized_decomposed_dequantize_per_tensor_default_1285: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_872, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_872 = None 2025-06-05T23:26:40.5252422Z aten_select_copy_int_250: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1285, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1285 = None 2025-06-05T23:26:40.5253329Z quantized_decomposed_quantize_per_tensor_default_873: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_250, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_select_copy_int_250 = None 2025-06-05T23:26:40.5254494Z quantized_decomposed_dequantize_per_tensor_default_1286: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_873, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_873 = None 2025-06-05T23:26:40.5255258Z aten_select_copy_int_251: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1286, 0, 5); quantized_decomposed_dequantize_per_tensor_default_1286 = None 2025-06-05T23:26:40.5256187Z quantized_decomposed_quantize_per_tensor_default_874: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_251, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_select_copy_int_251 = None 2025-06-05T23:26:40.5256284Z 2025-06-05T23:26:40.5257246Z # File: .74:3235 in forward, code: dequantize_per_tensor_default_1028 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1028, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantize_per_tensor_default_1028 = None 2025-06-05T23:26:40.5258401Z quantized_decomposed_dequantize_per_tensor_default_1287: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_874, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_874 = None 2025-06-05T23:26:40.5258492Z 2025-06-05T23:26:40.5259137Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.5259951Z aten_permute_copy_default_218: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1250, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1250 = None 2025-06-05T23:26:40.5260973Z quantized_decomposed_quantize_per_tensor_default_875: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_218, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_permute_copy_default_218 = None 2025-06-05T23:26:40.5262152Z quantized_decomposed_dequantize_per_tensor_default_1288: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_875, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_875 = None 2025-06-05T23:26:40.5262910Z aten_select_copy_int_252: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1288, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1288 = None 2025-06-05T23:26:40.5263853Z quantized_decomposed_quantize_per_tensor_default_876: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_252, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_select_copy_int_252 = None 2025-06-05T23:26:40.5265023Z quantized_decomposed_dequantize_per_tensor_default_1289: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_876, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_876 = None 2025-06-05T23:26:40.5265776Z aten_select_copy_int_253: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1289, 0, 6); quantized_decomposed_dequantize_per_tensor_default_1289 = None 2025-06-05T23:26:40.5266676Z quantized_decomposed_quantize_per_tensor_default_877: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_253, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_select_copy_int_253 = None 2025-06-05T23:26:40.5266766Z 2025-06-05T23:26:40.5267739Z # File: .74:3244 in forward, code: dequantize_per_tensor_default_1031 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1031, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantize_per_tensor_default_1031 = None 2025-06-05T23:26:40.5268892Z quantized_decomposed_dequantize_per_tensor_default_1290: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_877, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_877 = None 2025-06-05T23:26:40.5268980Z 2025-06-05T23:26:40.5269621Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.5270438Z aten_permute_copy_default_219: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1249, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1249 = None 2025-06-05T23:26:40.5271484Z quantized_decomposed_quantize_per_tensor_default_878: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_219, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_permute_copy_default_219 = None 2025-06-05T23:26:40.5272944Z quantized_decomposed_dequantize_per_tensor_default_1291: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_878, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_878 = None 2025-06-05T23:26:40.5273746Z aten_select_copy_int_254: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1291, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1291 = None 2025-06-05T23:26:40.5274651Z quantized_decomposed_quantize_per_tensor_default_879: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_254, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_select_copy_int_254 = None 2025-06-05T23:26:40.5275819Z quantized_decomposed_dequantize_per_tensor_default_1292: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_879, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_879 = None 2025-06-05T23:26:40.5276606Z aten_select_copy_int_255: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1292, 0, 7); quantized_decomposed_dequantize_per_tensor_default_1292 = None 2025-06-05T23:26:40.5277511Z quantized_decomposed_quantize_per_tensor_default_880: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_255, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_select_copy_int_255 = None 2025-06-05T23:26:40.5277600Z 2025-06-05T23:26:40.5278548Z # File: .74:3253 in forward, code: dequantize_per_tensor_default_1034 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1034, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantize_per_tensor_default_1034 = None 2025-06-05T23:26:40.5279709Z quantized_decomposed_dequantize_per_tensor_default_1293: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_880, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_880 = None 2025-06-05T23:26:40.5279798Z 2025-06-05T23:26:40.5280485Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.5281306Z aten_permute_copy_default_220: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1248, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1248 = None 2025-06-05T23:26:40.5282267Z quantized_decomposed_quantize_per_tensor_default_881: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_220, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_permute_copy_default_220 = None 2025-06-05T23:26:40.5283435Z quantized_decomposed_dequantize_per_tensor_default_1294: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_881, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_881 = None 2025-06-05T23:26:40.5284197Z aten_select_copy_int_256: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1294, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1294 = None 2025-06-05T23:26:40.5285131Z quantized_decomposed_quantize_per_tensor_default_882: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_256, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_select_copy_int_256 = None 2025-06-05T23:26:40.5286338Z quantized_decomposed_dequantize_per_tensor_default_1295: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_882, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_882 = None 2025-06-05T23:26:40.5287082Z aten_select_copy_int_257: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1295, 0, 8); quantized_decomposed_dequantize_per_tensor_default_1295 = None 2025-06-05T23:26:40.5287988Z quantized_decomposed_quantize_per_tensor_default_883: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_257, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_select_copy_int_257 = None 2025-06-05T23:26:40.5288109Z 2025-06-05T23:26:40.5289060Z # File: .74:3262 in forward, code: dequantize_per_tensor_default_1037 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1037, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantize_per_tensor_default_1037 = None 2025-06-05T23:26:40.5290231Z quantized_decomposed_dequantize_per_tensor_default_1296: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_883, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_883 = None 2025-06-05T23:26:40.5290320Z 2025-06-05T23:26:40.5290961Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.5291794Z aten_permute_copy_default_221: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1247, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1247 = None 2025-06-05T23:26:40.5292783Z quantized_decomposed_quantize_per_tensor_default_884: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_221, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_permute_copy_default_221 = None 2025-06-05T23:26:40.5293950Z quantized_decomposed_dequantize_per_tensor_default_1297: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_884, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_884 = None 2025-06-05T23:26:40.5294715Z aten_select_copy_int_258: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1297, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1297 = None 2025-06-05T23:26:40.5295627Z quantized_decomposed_quantize_per_tensor_default_885: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_258, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_select_copy_int_258 = None 2025-06-05T23:26:40.5296798Z quantized_decomposed_dequantize_per_tensor_default_1298: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_885, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_885 = None 2025-06-05T23:26:40.5297576Z aten_select_copy_int_259: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1298, 0, 9); quantized_decomposed_dequantize_per_tensor_default_1298 = None 2025-06-05T23:26:40.5298493Z quantized_decomposed_quantize_per_tensor_default_886: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_259, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_select_copy_int_259 = None 2025-06-05T23:26:40.5298583Z 2025-06-05T23:26:40.5299540Z # File: .74:3271 in forward, code: dequantize_per_tensor_default_1040 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1040, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantize_per_tensor_default_1040 = None 2025-06-05T23:26:40.5300747Z quantized_decomposed_dequantize_per_tensor_default_1299: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_886, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_886 = None 2025-06-05T23:26:40.5300825Z 2025-06-05T23:26:40.5301465Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.5302296Z aten_permute_copy_default_222: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1246, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1246 = None 2025-06-05T23:26:40.5303247Z quantized_decomposed_quantize_per_tensor_default_887: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_222, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_permute_copy_default_222 = None 2025-06-05T23:26:40.5304415Z quantized_decomposed_dequantize_per_tensor_default_1300: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_887, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_887 = None 2025-06-05T23:26:40.5305206Z aten_select_copy_int_260: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1300, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1300 = None 2025-06-05T23:26:40.5306109Z quantized_decomposed_quantize_per_tensor_default_888: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_260, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_select_copy_int_260 = None 2025-06-05T23:26:40.5307282Z quantized_decomposed_dequantize_per_tensor_default_1301: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_888, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_888 = None 2025-06-05T23:26:40.5308026Z aten_select_copy_int_261: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1301, 0, 10); quantized_decomposed_dequantize_per_tensor_default_1301 = None 2025-06-05T23:26:40.5308920Z quantized_decomposed_quantize_per_tensor_default_889: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_261, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_select_copy_int_261 = None 2025-06-05T23:26:40.5309010Z 2025-06-05T23:26:40.5310063Z # File: .74:3280 in forward, code: dequantize_per_tensor_default_1043 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1043, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantize_per_tensor_default_1043 = None 2025-06-05T23:26:40.5311413Z quantized_decomposed_dequantize_per_tensor_default_1302: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_889, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_889 = None 2025-06-05T23:26:40.5311493Z 2025-06-05T23:26:40.5312136Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.5312994Z aten_permute_copy_default_223: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1245, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1245 = None 2025-06-05T23:26:40.5313953Z quantized_decomposed_quantize_per_tensor_default_890: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_223, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_permute_copy_default_223 = None 2025-06-05T23:26:40.5315131Z quantized_decomposed_dequantize_per_tensor_default_1303: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_890, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_890 = None 2025-06-05T23:26:40.5315888Z aten_select_copy_int_262: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1303, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1303 = None 2025-06-05T23:26:40.5316791Z quantized_decomposed_quantize_per_tensor_default_891: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_262, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_select_copy_int_262 = None 2025-06-05T23:26:40.5317999Z quantized_decomposed_dequantize_per_tensor_default_1304: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_891, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_891 = None 2025-06-05T23:26:40.5318747Z aten_select_copy_int_263: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1304, 0, 11); quantized_decomposed_dequantize_per_tensor_default_1304 = None 2025-06-05T23:26:40.5319660Z quantized_decomposed_quantize_per_tensor_default_892: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_263, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_select_copy_int_263 = None 2025-06-05T23:26:40.5319736Z 2025-06-05T23:26:40.5320697Z # File: .74:3289 in forward, code: dequantize_per_tensor_default_1046 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1046, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantize_per_tensor_default_1046 = None 2025-06-05T23:26:40.5321893Z quantized_decomposed_dequantize_per_tensor_default_1305: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_892, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_892 = None 2025-06-05T23:26:40.5321993Z 2025-06-05T23:26:40.5322629Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.5328283Z aten_cat_default_22: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([quantized_decomposed_dequantize_per_tensor_default_1272, quantized_decomposed_dequantize_per_tensor_default_1275, quantized_decomposed_dequantize_per_tensor_default_1278, quantized_decomposed_dequantize_per_tensor_default_1281, quantized_decomposed_dequantize_per_tensor_default_1284, quantized_decomposed_dequantize_per_tensor_default_1287, quantized_decomposed_dequantize_per_tensor_default_1290, quantized_decomposed_dequantize_per_tensor_default_1293, quantized_decomposed_dequantize_per_tensor_default_1296, quantized_decomposed_dequantize_per_tensor_default_1299, quantized_decomposed_dequantize_per_tensor_default_1302, quantized_decomposed_dequantize_per_tensor_default_1305]); quantized_decomposed_dequantize_per_tensor_default_1272 = quantized_decomposed_dequantize_per_tensor_default_1275 = quantized_decomposed_dequantize_per_tensor_default_1278 = quantized_decomposed_dequantize_per_tensor_default_1281 = quantized_decomposed_dequantize_per_tensor_default_1284 = quantized_decomposed_dequantize_per_tensor_default_1287 = quantized_decomposed_dequantize_per_tensor_default_1290 = quantized_decomposed_dequantize_per_tensor_default_1293 = quantized_decomposed_dequantize_per_tensor_default_1296 = quantized_decomposed_dequantize_per_tensor_default_1299 = quantized_decomposed_dequantize_per_tensor_default_1302 = quantized_decomposed_dequantize_per_tensor_default_1305 = None 2025-06-05T23:26:40.5329221Z quantized_decomposed_quantize_per_tensor_default_893: "i32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_22, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_cat_default_22 = None 2025-06-05T23:26:40.5330393Z quantized_decomposed_dequantize_per_tensor_default_1306: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_893, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_893 = None 2025-06-05T23:26:40.5331222Z aten_view_copy_default_99: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1306, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_1306 = None 2025-06-05T23:26:40.5332138Z quantized_decomposed_quantize_per_tensor_default_894: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_99, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_view_copy_default_99 = None 2025-06-05T23:26:40.5332219Z 2025-06-05T23:26:40.5332813Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:324 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-06-05T23:26:40.5333990Z quantized_decomposed_dequantize_per_tensor_default_1307: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_894, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_894 = None 2025-06-05T23:26:40.5334066Z 2025-06-05T23:26:40.5334717Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.5335564Z aten_permute_copy_default_224: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1269, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1269 = None 2025-06-05T23:26:40.5336547Z quantized_decomposed_quantize_per_tensor_default_895: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_224, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_permute_copy_default_224 = None 2025-06-05T23:26:40.5337728Z quantized_decomposed_dequantize_per_tensor_default_1308: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_895, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_895 = None 2025-06-05T23:26:40.5338502Z aten_select_copy_int_264: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1308, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1308 = None 2025-06-05T23:26:40.5339428Z quantized_decomposed_quantize_per_tensor_default_896: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_264, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_select_copy_int_264 = None 2025-06-05T23:26:40.5340587Z quantized_decomposed_dequantize_per_tensor_default_1309: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_896, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_896 = None 2025-06-05T23:26:40.5341348Z aten_select_copy_int_265: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1309, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1309 = None 2025-06-05T23:26:40.5342249Z quantized_decomposed_quantize_per_tensor_default_897: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_265, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_select_copy_int_265 = None 2025-06-05T23:26:40.5342325Z 2025-06-05T23:26:40.5343319Z # File: .74:3304 in forward, code: dequantize_per_tensor_default_1051 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1051, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantize_per_tensor_default_1051 = None 2025-06-05T23:26:40.5344483Z quantized_decomposed_dequantize_per_tensor_default_1310: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_897, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_897 = None 2025-06-05T23:26:40.5344565Z 2025-06-05T23:26:40.5345219Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.5346036Z aten_permute_copy_default_225: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1268, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1268 = None 2025-06-05T23:26:40.5347000Z quantized_decomposed_quantize_per_tensor_default_898: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_225, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_permute_copy_default_225 = None 2025-06-05T23:26:40.5348224Z quantized_decomposed_dequantize_per_tensor_default_1311: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_898, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_898 = None 2025-06-05T23:26:40.5348969Z aten_select_copy_int_266: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1311, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1311 = None 2025-06-05T23:26:40.5349886Z quantized_decomposed_quantize_per_tensor_default_899: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_266, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_select_copy_int_266 = None 2025-06-05T23:26:40.5351130Z quantized_decomposed_dequantize_per_tensor_default_1312: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_899, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_899 = None 2025-06-05T23:26:40.5351890Z aten_select_copy_int_267: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1312, 0, 1); quantized_decomposed_dequantize_per_tensor_default_1312 = None 2025-06-05T23:26:40.5352790Z quantized_decomposed_quantize_per_tensor_default_900: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_267, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_select_copy_int_267 = None 2025-06-05T23:26:40.5352867Z 2025-06-05T23:26:40.5353838Z # File: .74:3313 in forward, code: dequantize_per_tensor_default_1054 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1054, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantize_per_tensor_default_1054 = None 2025-06-05T23:26:40.5355039Z quantized_decomposed_dequantize_per_tensor_default_1313: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_900, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_900 = None 2025-06-05T23:26:40.5355133Z 2025-06-05T23:26:40.5355772Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.5356582Z aten_permute_copy_default_226: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1267, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1267 = None 2025-06-05T23:26:40.5357550Z quantized_decomposed_quantize_per_tensor_default_901: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_226, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_permute_copy_default_226 = None 2025-06-05T23:26:40.5358718Z quantized_decomposed_dequantize_per_tensor_default_1314: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_901, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_901 = None 2025-06-05T23:26:40.5359467Z aten_select_copy_int_268: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1314, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1314 = None 2025-06-05T23:26:40.5360463Z quantized_decomposed_quantize_per_tensor_default_902: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_268, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_select_copy_int_268 = None 2025-06-05T23:26:40.5361635Z quantized_decomposed_dequantize_per_tensor_default_1315: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_902, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_902 = None 2025-06-05T23:26:40.5362390Z aten_select_copy_int_269: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1315, 0, 2); quantized_decomposed_dequantize_per_tensor_default_1315 = None 2025-06-05T23:26:40.5363324Z quantized_decomposed_quantize_per_tensor_default_903: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_269, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_select_copy_int_269 = None 2025-06-05T23:26:40.5363400Z 2025-06-05T23:26:40.5364370Z # File: .74:3322 in forward, code: dequantize_per_tensor_default_1057 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1057, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantize_per_tensor_default_1057 = None 2025-06-05T23:26:40.5365530Z quantized_decomposed_dequantize_per_tensor_default_1316: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_903, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_903 = None 2025-06-05T23:26:40.5365622Z 2025-06-05T23:26:40.5366262Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.5367109Z aten_permute_copy_default_227: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1266, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1266 = None 2025-06-05T23:26:40.5368071Z quantized_decomposed_quantize_per_tensor_default_904: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_227, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_permute_copy_default_227 = None 2025-06-05T23:26:40.5369236Z quantized_decomposed_dequantize_per_tensor_default_1317: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_904, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_904 = None 2025-06-05T23:26:40.5369999Z aten_select_copy_int_270: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1317, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1317 = None 2025-06-05T23:26:40.5370908Z quantized_decomposed_quantize_per_tensor_default_905: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_270, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_select_copy_int_270 = None 2025-06-05T23:26:40.5372101Z quantized_decomposed_dequantize_per_tensor_default_1318: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_905, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_905 = None 2025-06-05T23:26:40.5373096Z aten_select_copy_int_271: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1318, 0, 3); quantized_decomposed_dequantize_per_tensor_default_1318 = None 2025-06-05T23:26:40.5374004Z quantized_decomposed_quantize_per_tensor_default_906: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_271, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_select_copy_int_271 = None 2025-06-05T23:26:40.5374082Z 2025-06-05T23:26:40.5375051Z # File: .74:3331 in forward, code: dequantize_per_tensor_default_1060 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1060, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantize_per_tensor_default_1060 = None 2025-06-05T23:26:40.5376324Z quantized_decomposed_dequantize_per_tensor_default_1319: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_906, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_906 = None 2025-06-05T23:26:40.5376415Z 2025-06-05T23:26:40.5377059Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.5377875Z aten_permute_copy_default_228: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1265, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1265 = None 2025-06-05T23:26:40.5378845Z quantized_decomposed_quantize_per_tensor_default_907: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_228, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_permute_copy_default_228 = None 2025-06-05T23:26:40.5380061Z quantized_decomposed_dequantize_per_tensor_default_1320: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_907, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_907 = None 2025-06-05T23:26:40.5380824Z aten_select_copy_int_272: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1320, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1320 = None 2025-06-05T23:26:40.5381727Z quantized_decomposed_quantize_per_tensor_default_908: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_272, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_select_copy_int_272 = None 2025-06-05T23:26:40.5382900Z quantized_decomposed_dequantize_per_tensor_default_1321: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_908, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_908 = None 2025-06-05T23:26:40.5383658Z aten_select_copy_int_273: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1321, 0, 4); quantized_decomposed_dequantize_per_tensor_default_1321 = None 2025-06-05T23:26:40.5384604Z quantized_decomposed_quantize_per_tensor_default_909: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_273, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_select_copy_int_273 = None 2025-06-05T23:26:40.5384728Z 2025-06-05T23:26:40.5385683Z # File: .74:3340 in forward, code: dequantize_per_tensor_default_1063 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1063, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantize_per_tensor_default_1063 = None 2025-06-05T23:26:40.5386842Z quantized_decomposed_dequantize_per_tensor_default_1322: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_909, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_909 = None 2025-06-05T23:26:40.5386975Z 2025-06-05T23:26:40.5387614Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.5388425Z aten_permute_copy_default_229: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1264, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1264 = None 2025-06-05T23:26:40.5389391Z quantized_decomposed_quantize_per_tensor_default_910: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_229, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_permute_copy_default_229 = None 2025-06-05T23:26:40.5390559Z quantized_decomposed_dequantize_per_tensor_default_1323: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_910, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_910 = None 2025-06-05T23:26:40.5391380Z aten_select_copy_int_274: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1323, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1323 = None 2025-06-05T23:26:40.5392316Z quantized_decomposed_quantize_per_tensor_default_911: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_274, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_select_copy_int_274 = None 2025-06-05T23:26:40.5393488Z quantized_decomposed_dequantize_per_tensor_default_1324: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_911, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_911 = None 2025-06-05T23:26:40.5394260Z aten_select_copy_int_275: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1324, 0, 5); quantized_decomposed_dequantize_per_tensor_default_1324 = None 2025-06-05T23:26:40.5395156Z quantized_decomposed_quantize_per_tensor_default_912: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_275, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_select_copy_int_275 = None 2025-06-05T23:26:40.5395252Z 2025-06-05T23:26:40.5396211Z # File: .74:3349 in forward, code: dequantize_per_tensor_default_1066 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1066, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantize_per_tensor_default_1066 = None 2025-06-05T23:26:40.5397407Z quantized_decomposed_dequantize_per_tensor_default_1325: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_912, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_912 = None 2025-06-05T23:26:40.5397521Z 2025-06-05T23:26:40.5398165Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.5398982Z aten_permute_copy_default_230: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1263, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1263 = None 2025-06-05T23:26:40.5400953Z quantized_decomposed_quantize_per_tensor_default_913: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_230, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_permute_copy_default_230 = None 2025-06-05T23:26:40.5403434Z quantized_decomposed_dequantize_per_tensor_default_1326: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_913, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_913 = None 2025-06-05T23:26:40.5405547Z aten_select_copy_int_276: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1326, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1326 = None 2025-06-05T23:26:40.5407325Z quantized_decomposed_quantize_per_tensor_default_914: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_276, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_select_copy_int_276 = None 2025-06-05T23:26:40.5409532Z quantized_decomposed_dequantize_per_tensor_default_1327: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_914, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_914 = None 2025-06-05T23:26:40.5411760Z aten_select_copy_int_277: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1327, 0, 6); quantized_decomposed_dequantize_per_tensor_default_1327 = None 2025-06-05T23:26:40.5413616Z quantized_decomposed_quantize_per_tensor_default_915: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_277, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_select_copy_int_277 = None 2025-06-05T23:26:40.5414714Z 2025-06-05T23:26:40.5415806Z # File: .74:3358 in forward, code: dequantize_per_tensor_default_1069 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1069, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantize_per_tensor_default_1069 = None 2025-06-05T23:26:40.5418126Z quantized_decomposed_dequantize_per_tensor_default_1328: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_915, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_915 = None 2025-06-05T23:26:40.5419585Z 2025-06-05T23:26:40.5420361Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.5422034Z aten_permute_copy_default_231: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1262, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1262 = None 2025-06-05T23:26:40.5423936Z quantized_decomposed_quantize_per_tensor_default_916: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_231, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_permute_copy_default_231 = None 2025-06-05T23:26:40.5426188Z quantized_decomposed_dequantize_per_tensor_default_1329: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_916, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_916 = None 2025-06-05T23:26:40.5428276Z aten_select_copy_int_278: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1329, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1329 = None 2025-06-05T23:26:40.5430067Z quantized_decomposed_quantize_per_tensor_default_917: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_278, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_select_copy_int_278 = None 2025-06-05T23:26:40.5432349Z quantized_decomposed_dequantize_per_tensor_default_1330: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_917, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_917 = None 2025-06-05T23:26:40.5434401Z aten_select_copy_int_279: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1330, 0, 7); quantized_decomposed_dequantize_per_tensor_default_1330 = None 2025-06-05T23:26:40.5436199Z quantized_decomposed_quantize_per_tensor_default_918: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_279, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_select_copy_int_279 = None 2025-06-05T23:26:40.5437704Z 2025-06-05T23:26:40.5438918Z # File: .74:3367 in forward, code: dequantize_per_tensor_default_1072 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1072, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantize_per_tensor_default_1072 = None 2025-06-05T23:26:40.5441217Z quantized_decomposed_dequantize_per_tensor_default_1331: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_918, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_918 = None 2025-06-05T23:26:40.5442582Z 2025-06-05T23:26:40.5443352Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.5444930Z aten_permute_copy_default_232: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1261, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1261 = None 2025-06-05T23:26:40.5446796Z quantized_decomposed_quantize_per_tensor_default_919: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_232, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_permute_copy_default_232 = None 2025-06-05T23:26:40.5449161Z quantized_decomposed_dequantize_per_tensor_default_1332: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_919, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_919 = None 2025-06-05T23:26:40.5451216Z aten_select_copy_int_280: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1332, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1332 = None 2025-06-05T23:26:40.5453006Z quantized_decomposed_quantize_per_tensor_default_920: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_280, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_select_copy_int_280 = None 2025-06-05T23:26:40.5455242Z quantized_decomposed_dequantize_per_tensor_default_1333: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_920, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_920 = None 2025-06-05T23:26:40.5457294Z aten_select_copy_int_281: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1333, 0, 8); quantized_decomposed_dequantize_per_tensor_default_1333 = None 2025-06-05T23:26:40.5459095Z quantized_decomposed_quantize_per_tensor_default_921: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_281, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_select_copy_int_281 = None 2025-06-05T23:26:40.5460197Z 2025-06-05T23:26:40.5461288Z # File: .74:3376 in forward, code: dequantize_per_tensor_default_1075 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1075, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantize_per_tensor_default_1075 = None 2025-06-05T23:26:40.5463578Z quantized_decomposed_dequantize_per_tensor_default_1334: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_921, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_921 = None 2025-06-05T23:26:40.5464931Z 2025-06-05T23:26:40.5465699Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.5467283Z aten_permute_copy_default_233: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1260, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1260 = None 2025-06-05T23:26:40.5469180Z quantized_decomposed_quantize_per_tensor_default_922: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_233, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_permute_copy_default_233 = None 2025-06-05T23:26:40.5471552Z quantized_decomposed_dequantize_per_tensor_default_1335: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_922, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_922 = None 2025-06-05T23:26:40.5474194Z aten_select_copy_int_282: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1335, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1335 = None 2025-06-05T23:26:40.5476047Z quantized_decomposed_quantize_per_tensor_default_923: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_282, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_select_copy_int_282 = None 2025-06-05T23:26:40.5478268Z quantized_decomposed_dequantize_per_tensor_default_1336: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_923, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_923 = None 2025-06-05T23:26:40.5480292Z aten_select_copy_int_283: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1336, 0, 9); quantized_decomposed_dequantize_per_tensor_default_1336 = None 2025-06-05T23:26:40.5482129Z quantized_decomposed_quantize_per_tensor_default_924: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_283, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_select_copy_int_283 = None 2025-06-05T23:26:40.5483231Z 2025-06-05T23:26:40.5484308Z # File: .74:3385 in forward, code: dequantize_per_tensor_default_1078 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1078, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantize_per_tensor_default_1078 = None 2025-06-05T23:26:40.5486547Z quantized_decomposed_dequantize_per_tensor_default_1337: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_924, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_924 = None 2025-06-05T23:26:40.5487926Z 2025-06-05T23:26:40.5488692Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.5490322Z aten_permute_copy_default_234: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1259, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1259 = None 2025-06-05T23:26:40.5492208Z quantized_decomposed_quantize_per_tensor_default_925: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_234, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_permute_copy_default_234 = None 2025-06-05T23:26:40.5494446Z quantized_decomposed_dequantize_per_tensor_default_1338: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_925, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_925 = None 2025-06-05T23:26:40.5496478Z aten_select_copy_int_284: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1338, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1338 = None 2025-06-05T23:26:40.5498268Z quantized_decomposed_quantize_per_tensor_default_926: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_284, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_select_copy_int_284 = None 2025-06-05T23:26:40.5500500Z quantized_decomposed_dequantize_per_tensor_default_1339: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_926, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_926 = None 2025-06-05T23:26:40.5502544Z aten_select_copy_int_285: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1339, 0, 10); quantized_decomposed_dequantize_per_tensor_default_1339 = None 2025-06-05T23:26:40.5504318Z quantized_decomposed_quantize_per_tensor_default_927: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_285, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_select_copy_int_285 = None 2025-06-05T23:26:40.5505417Z 2025-06-05T23:26:40.5506494Z # File: .74:3394 in forward, code: dequantize_per_tensor_default_1081 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1081, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantize_per_tensor_default_1081 = None 2025-06-05T23:26:40.5508789Z quantized_decomposed_dequantize_per_tensor_default_1340: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_927, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_927 = None 2025-06-05T23:26:40.5510168Z 2025-06-05T23:26:40.5511020Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.5512600Z aten_permute_copy_default_235: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1258, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1258 = None 2025-06-05T23:26:40.5514524Z quantized_decomposed_quantize_per_tensor_default_928: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_235, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_permute_copy_default_235 = None 2025-06-05T23:26:40.5516818Z quantized_decomposed_dequantize_per_tensor_default_1341: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_928, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_928 = None 2025-06-05T23:26:40.5518881Z aten_select_copy_int_286: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1341, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1341 = None 2025-06-05T23:26:40.5520680Z quantized_decomposed_quantize_per_tensor_default_929: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_286, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_select_copy_int_286 = None 2025-06-05T23:26:40.5522881Z quantized_decomposed_dequantize_per_tensor_default_1342: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_929, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_929 = None 2025-06-05T23:26:40.5524894Z aten_select_copy_int_287: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1342, 0, 11); quantized_decomposed_dequantize_per_tensor_default_1342 = None 2025-06-05T23:26:40.5526704Z quantized_decomposed_quantize_per_tensor_default_930: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_287, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_select_copy_int_287 = None 2025-06-05T23:26:40.5527824Z 2025-06-05T23:26:40.5528892Z # File: .74:3403 in forward, code: dequantize_per_tensor_default_1084 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1084, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantize_per_tensor_default_1084 = None 2025-06-05T23:26:40.5531122Z quantized_decomposed_dequantize_per_tensor_default_1343: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_930, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_930 = None 2025-06-05T23:26:40.5532518Z 2025-06-05T23:26:40.5533278Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.5539717Z aten_cat_default_23: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([quantized_decomposed_dequantize_per_tensor_default_1310, quantized_decomposed_dequantize_per_tensor_default_1313, quantized_decomposed_dequantize_per_tensor_default_1316, quantized_decomposed_dequantize_per_tensor_default_1319, quantized_decomposed_dequantize_per_tensor_default_1322, quantized_decomposed_dequantize_per_tensor_default_1325, quantized_decomposed_dequantize_per_tensor_default_1328, quantized_decomposed_dequantize_per_tensor_default_1331, quantized_decomposed_dequantize_per_tensor_default_1334, quantized_decomposed_dequantize_per_tensor_default_1337, quantized_decomposed_dequantize_per_tensor_default_1340, quantized_decomposed_dequantize_per_tensor_default_1343]); quantized_decomposed_dequantize_per_tensor_default_1310 = quantized_decomposed_dequantize_per_tensor_default_1313 = quantized_decomposed_dequantize_per_tensor_default_1316 = quantized_decomposed_dequantize_per_tensor_default_1319 = quantized_decomposed_dequantize_per_tensor_default_1322 = quantized_decomposed_dequantize_per_tensor_default_1325 = quantized_decomposed_dequantize_per_tensor_default_1328 = quantized_decomposed_dequantize_per_tensor_default_1331 = quantized_decomposed_dequantize_per_tensor_default_1334 = quantized_decomposed_dequantize_per_tensor_default_1337 = quantized_decomposed_dequantize_per_tensor_default_1340 = quantized_decomposed_dequantize_per_tensor_default_1343 = None 2025-06-05T23:26:40.5546592Z quantized_decomposed_quantize_per_tensor_default_931: "i32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_23, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_cat_default_23 = None 2025-06-05T23:26:40.5548774Z quantized_decomposed_dequantize_per_tensor_default_1344: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_931, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_931 = None 2025-06-05T23:26:40.5550948Z aten_view_copy_default_100: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1344, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_1344 = None 2025-06-05T23:26:40.5552796Z quantized_decomposed_quantize_per_tensor_default_932: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_100, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_view_copy_default_100 = None 2025-06-05T23:26:40.5553908Z 2025-06-05T23:26:40.5555064Z # File: .74:3409 in forward, code: dequantize_per_tensor_default_1086 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1086, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantize_per_tensor_default_1086 = None 2025-06-05T23:26:40.5557317Z quantized_decomposed_dequantize_per_tensor_default_1345: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_932, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_932 = None 2025-06-05T23:26:40.5558667Z 2025-06-05T23:26:40.5559760Z # File: .74:3410 in forward, code: quantize_per_tensor_default_1087 = torch.ops.quantized_decomposed.quantize_per_tensor.default(dequantize_per_tensor_default_1086, 0.00014235699200071394, 0, -32767, 32767, torch.int16); dequantize_per_tensor_default_1086 = None 2025-06-05T23:26:40.5562067Z quantized_decomposed_quantize_per_tensor_default_933: "i16[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_1345, 0.00014235699200071394, 0, -32767, 32767, torch.int16); quantized_decomposed_dequantize_per_tensor_default_1345 = None 2025-06-05T23:26:40.5563435Z 2025-06-05T23:26:40.5564024Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:327 in forward, code: y = attn_weight @ v 2025-06-05T23:26:40.5565786Z quantized_decomposed_dequantize_per_tensor_default_1346: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_933, 0.00014235699200071394, 0, -32767, 32767, torch.int16); quantized_decomposed_quantize_per_tensor_default_933 = None 2025-06-05T23:26:40.5567138Z 2025-06-05T23:26:40.5567837Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:324 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-06-05T23:26:40.5569347Z aten_permute_copy_default_236: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1307, [0, 1, 3, 2]); quantized_decomposed_dequantize_per_tensor_default_1307 = None 2025-06-05T23:26:40.5571283Z quantized_decomposed_quantize_per_tensor_default_934: "i32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_236, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_permute_copy_default_236 = None 2025-06-05T23:26:40.5572435Z 2025-06-05T23:26:40.5573743Z # File: .74:3414 in forward, code: dequantize_per_tensor_default_1088 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1088, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantize_per_tensor_default_1088 = None 2025-06-05T23:26:40.5576017Z quantized_decomposed_dequantize_per_tensor_default_1347: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_934, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_934 = None 2025-06-05T23:26:40.5577400Z 2025-06-05T23:26:40.5578484Z # File: .74:3415 in forward, code: quantize_per_tensor_default_1089 = torch.ops.quantized_decomposed.quantize_per_tensor.default(dequantize_per_tensor_default_1088, 0.00042978691635653377, 0, -32767, 32767, torch.int16); dequantize_per_tensor_default_1088 = None 2025-06-05T23:26:40.5580825Z quantized_decomposed_quantize_per_tensor_default_935: "i16[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_1347, 0.00042978691635653377, 0, -32767, 32767, torch.int16); quantized_decomposed_dequantize_per_tensor_default_1347 = None 2025-06-05T23:26:40.5582249Z 2025-06-05T23:26:40.5582962Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:324 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-06-05T23:26:40.5584826Z quantized_decomposed_dequantize_per_tensor_default_1348: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_935, 0.00042978691635653377, 0, -32767, 32767, torch.int16); quantized_decomposed_quantize_per_tensor_default_935 = None 2025-06-05T23:26:40.5586916Z aten_expand_copy_default_20: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_1242, [1, 12, 1, 64]); quantized_decomposed_dequantize_per_tensor_default_1242 = None 2025-06-05T23:26:40.5588443Z aten_view_copy_default_101: "f32[12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_20, [12, 1, 64]); aten_expand_copy_default_20 = None 2025-06-05T23:26:40.5589913Z aten_expand_copy_default_21: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_1348, [1, 12, 64, 128]); quantized_decomposed_dequantize_per_tensor_default_1348 = None 2025-06-05T23:26:40.5591489Z aten_view_copy_default_102: "f32[12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_21, [12, 64, 128]); aten_expand_copy_default_21 = None 2025-06-05T23:26:40.5592842Z aten_bmm_default_10: "f32[12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_101, aten_view_copy_default_102); aten_view_copy_default_101 = aten_view_copy_default_102 = None 2025-06-05T23:26:40.5594130Z aten_view_copy_default_103: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_10, [1, 12, 1, 128]); aten_bmm_default_10 = None 2025-06-05T23:26:40.5595755Z quantized_decomposed_quantize_per_tensor_default_936: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_103, 0.0038201091811060905, 40308, 0, 65535, torch.int32); aten_view_copy_default_103 = None 2025-06-05T23:26:40.5597981Z quantized_decomposed_dequantize_per_tensor_default_1349: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_936, 0.0038201091811060905, 40308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_936 = None 2025-06-05T23:26:40.5600130Z quantized_decomposed_dequantize_per_tensor_default_1350: "f32[]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(b__frozen_param154, 1.9073777366429567e-06, 0, 0, 65535, torch.int32); b__frozen_param154 = None 2025-06-05T23:26:40.5602261Z aten_mul_tensor_85: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1349, quantized_decomposed_dequantize_per_tensor_default_1350); quantized_decomposed_dequantize_per_tensor_default_1349 = quantized_decomposed_dequantize_per_tensor_default_1350 = None 2025-06-05T23:26:40.5604402Z quantized_decomposed_quantize_per_tensor_default_937: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_85, 0.0004775136476382613, 40308, 0, 65535, torch.int32); aten_mul_tensor_85 = None 2025-06-05T23:26:40.5605463Z 2025-06-05T23:26:40.5606151Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:325 in forward, code: attn_weight += attn_mask 2025-06-05T23:26:40.5607934Z quantized_decomposed_dequantize_per_tensor_default_1351: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_937, 0.0004775136476382613, 40308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_937 = None 2025-06-05T23:26:40.5610371Z aten_add_tensor_27: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_1351, quantized_decomposed_dequantize_per_tensor_default_1243); quantized_decomposed_dequantize_per_tensor_default_1351 = quantized_decomposed_dequantize_per_tensor_default_1243 = None 2025-06-05T23:26:40.5612547Z quantized_decomposed_quantize_per_tensor_default_938: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_27, 0.004275546874850988, 62718, 0, 65535, torch.int32); aten_add_tensor_27 = None 2025-06-05T23:26:40.5613589Z 2025-06-05T23:26:40.5614287Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:326 in forward, code: attn_weight = torch.softmax(attn_weight, dim=-1) 2025-06-05T23:26:40.5616135Z quantized_decomposed_dequantize_per_tensor_default_1352: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_938, 0.004275546874850988, 62718, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_938 = None 2025-06-05T23:26:40.5618197Z aten__softmax_default_5: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten__softmax_default(quantized_decomposed_dequantize_per_tensor_default_1352, -1, False); quantized_decomposed_dequantize_per_tensor_default_1352 = None 2025-06-05T23:26:40.5619999Z quantized_decomposed_quantize_per_tensor_default_939: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten__softmax_default_5, 1.5259021893143654e-05, 0, 0, 65535, torch.int32); aten__softmax_default_5 = None 2025-06-05T23:26:40.5621088Z 2025-06-05T23:26:40.5621693Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:327 in forward, code: y = attn_weight @ v 2025-06-05T23:26:40.5623429Z quantized_decomposed_dequantize_per_tensor_default_1353: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_939, 1.5259021893143654e-05, 0, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_939 = None 2025-06-05T23:26:40.5625508Z aten_expand_copy_default_22: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_1353, [1, 12, 1, 128]); quantized_decomposed_dequantize_per_tensor_default_1353 = None 2025-06-05T23:26:40.5626985Z aten_view_copy_default_104: "f32[12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_22, [12, 1, 128]); aten_expand_copy_default_22 = None 2025-06-05T23:26:40.5628490Z aten_expand_copy_default_23: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_1346, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_1346 = None 2025-06-05T23:26:40.5629979Z aten_view_copy_default_105: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_23, [12, 128, 64]); aten_expand_copy_default_23 = None 2025-06-05T23:26:40.5631460Z aten_bmm_default_11: "f32[12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_104, aten_view_copy_default_105); aten_view_copy_default_104 = aten_view_copy_default_105 = None 2025-06-05T23:26:40.5632773Z aten_view_copy_default_106: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_11, [1, 12, 1, 64]); aten_bmm_default_11 = None 2025-06-05T23:26:40.5634315Z quantized_decomposed_quantize_per_tensor_default_940: "i32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_106, 7.123954856069759e-05, 34216, 0, 65535, torch.int32); aten_view_copy_default_106 = None 2025-06-05T23:26:40.5635415Z 2025-06-05T23:26:40.5636175Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:329 in forward, code: return y.transpose(1, 2).contiguous().view(bsz, seqlen, self.dim) 2025-06-05T23:26:40.5638131Z quantized_decomposed_dequantize_per_tensor_default_1354: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_940, 7.123954856069759e-05, 34216, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_940 = None 2025-06-05T23:26:40.5640200Z aten_permute_copy_default_237: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1354, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1354 = None 2025-06-05T23:26:40.5642060Z quantized_decomposed_quantize_per_tensor_default_941: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_237, 7.123954856069759e-05, 34216, 0, 65535, torch.int32); aten_permute_copy_default_237 = None 2025-06-05T23:26:40.5644288Z quantized_decomposed_dequantize_per_tensor_default_1355: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_941, 7.123954856069759e-05, 34216, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_941 = None 2025-06-05T23:26:40.5646376Z aten_view_copy_default_107: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1355, [1, 1, 768]); quantized_decomposed_dequantize_per_tensor_default_1355 = None 2025-06-05T23:26:40.5648183Z quantized_decomposed_quantize_per_tensor_default_942: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_107, 7.123954856069759e-05, 34216, 0, 65535, torch.int32); aten_view_copy_default_107 = None 2025-06-05T23:26:40.5649303Z 2025-06-05T23:26:40.5649957Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.5651742Z quantized_decomposed_dequantize_per_tensor_default_1356: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_942, 7.123954856069759e-05, 34216, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_942 = None 2025-06-05T23:26:40.5653833Z aten_unsqueeze_copy_default_62: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1356, -1); quantized_decomposed_dequantize_per_tensor_default_1356 = None 2025-06-05T23:26:40.5655717Z quantized_decomposed_quantize_per_tensor_default_943: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_62, 7.123954856069759e-05, 34216, 0, 65535, torch.int32); aten_unsqueeze_copy_default_62 = None 2025-06-05T23:26:40.5656890Z 2025-06-05T23:26:40.5657451Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.5659143Z quantized_decomposed_dequantize_per_tensor_default_1357: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_943, 7.123954856069759e-05, 34216, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_943 = None 2025-06-05T23:26:40.5661218Z aten_permute_copy_default_238: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1357, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1357 = None 2025-06-05T23:26:40.5663120Z quantized_decomposed_quantize_per_tensor_default_944: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_238, 7.123954856069759e-05, 34216, 0, 65535, torch.int32); aten_permute_copy_default_238 = None 2025-06-05T23:26:40.5664266Z 2025-06-05T23:26:40.5664742Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.5666403Z quantized_decomposed_dequantize_per_tensor_default_1358: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_944, 7.123954856069759e-05, 34216, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_944 = None 2025-06-05T23:26:40.5669124Z aten_convolution_default_38: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1358, quantized_decomposed_dequantize_per_tensor_default_50, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1358 = quantized_decomposed_dequantize_per_tensor_default_50 = None 2025-06-05T23:26:40.5671556Z quantized_decomposed_quantize_per_tensor_default_945: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_38, 4.46785670646932e-05, 25383, 0, 65535, torch.int32); aten_convolution_default_38 = None 2025-06-05T23:26:40.5672986Z 2025-06-05T23:26:40.5673552Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.5675245Z quantized_decomposed_dequantize_per_tensor_default_1359: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_945, 4.46785670646932e-05, 25383, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_945 = None 2025-06-05T23:26:40.5677343Z aten_permute_copy_default_239: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1359, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1359 = None 2025-06-05T23:26:40.5679216Z quantized_decomposed_quantize_per_tensor_default_946: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_239, 4.46785670646932e-05, 25383, 0, 65535, torch.int32); aten_permute_copy_default_239 = None 2025-06-05T23:26:40.5680525Z 2025-06-05T23:26:40.5681184Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.5683060Z quantized_decomposed_dequantize_per_tensor_default_1360: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_946, 4.46785670646932e-05, 25383, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_946 = None 2025-06-05T23:26:40.5685129Z aten_squeeze_copy_dims_62: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1360, [-1]); quantized_decomposed_dequantize_per_tensor_default_1360 = None 2025-06-05T23:26:40.5686908Z quantized_decomposed_quantize_per_tensor_default_947: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_62, 4.46785670646932e-05, 25383, 0, 65535, torch.int32); aten_squeeze_copy_dims_62 = None 2025-06-05T23:26:40.5688002Z 2025-06-05T23:26:40.5688540Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:132 in forward, code: h = x + h 2025-06-05T23:26:40.5690185Z quantized_decomposed_dequantize_per_tensor_default_1361: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_947, 4.46785670646932e-05, 25383, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_947 = None 2025-06-05T23:26:40.5692590Z aten_add_tensor_28: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_1183, quantized_decomposed_dequantize_per_tensor_default_1361); quantized_decomposed_dequantize_per_tensor_default_1183 = quantized_decomposed_dequantize_per_tensor_default_1361 = None 2025-06-05T23:26:40.5694722Z quantized_decomposed_quantize_per_tensor_default_948: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_28, 0.0026234339457005262, 6156, 0, 65535, torch.int32); aten_add_tensor_28 = None 2025-06-05T23:26:40.5695775Z 2025-06-05T23:26:40.5696412Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:136 in forward, code: out = h + self.feed_forward(self.ffn_norm(h)) 2025-06-05T23:26:40.5697996Z quantized_decomposed_dequantize_per_tensor_default_1362: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_948, 0.0026234339457005262, 6156, 0, 65535, torch.int32) 2025-06-05T23:26:40.5700203Z quantized_decomposed_dequantize_per_tensor_default_1363: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_948, 0.0026234339457005262, 6156, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_948 = None 2025-06-05T23:26:40.5701998Z aten_pow_tensor_scalar_11: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(quantized_decomposed_dequantize_per_tensor_default_1363, 2) 2025-06-05T23:26:40.5703099Z aten_mean_dim_11: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_mean_dim(aten_pow_tensor_scalar_11, [2], True); aten_pow_tensor_scalar_11 = None 2025-06-05T23:26:40.5704108Z aten_add_scalar_11: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_add_Scalar(aten_mean_dim_11, 9.999999747378752e-06); aten_mean_dim_11 = None 2025-06-05T23:26:40.5705097Z aten_rsqrt_default_11: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_rsqrt_default(aten_add_scalar_11); aten_add_scalar_11 = None 2025-06-05T23:26:40.5706510Z aten_mul_tensor_86: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1363, aten_rsqrt_default_11); quantized_decomposed_dequantize_per_tensor_default_1363 = aten_rsqrt_default_11 = None 2025-06-05T23:26:40.5708337Z aten_mul_tensor_87: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_86, quantized_decomposed_dequantize_per_tensor_default_51); aten_mul_tensor_86 = quantized_decomposed_dequantize_per_tensor_default_51 = None 2025-06-05T23:26:40.5710156Z quantized_decomposed_quantize_per_tensor_default_949: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_87, 0.0003379492845851928, 19066, 0, 65535, torch.int32); aten_mul_tensor_87 = None 2025-06-05T23:26:40.5711286Z 2025-06-05T23:26:40.5711924Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.5713495Z quantized_decomposed_dequantize_per_tensor_default_1364: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_949, 0.0003379492845851928, 19066, 0, 65535, torch.int32) 2025-06-05T23:26:40.5715744Z quantized_decomposed_dequantize_per_tensor_default_1365: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_949, 0.0003379492845851928, 19066, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_949 = None 2025-06-05T23:26:40.5717843Z aten_unsqueeze_copy_default_63: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1365, -1); quantized_decomposed_dequantize_per_tensor_default_1365 = None 2025-06-05T23:26:40.5719730Z quantized_decomposed_quantize_per_tensor_default_950: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_63, 0.0003379492845851928, 19066, 0, 65535, torch.int32); aten_unsqueeze_copy_default_63 = None 2025-06-05T23:26:40.5720880Z 2025-06-05T23:26:40.5721398Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.5723119Z quantized_decomposed_dequantize_per_tensor_default_1366: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_950, 0.0003379492845851928, 19066, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_950 = None 2025-06-05T23:26:40.5725213Z aten_permute_copy_default_240: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1366, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1366 = None 2025-06-05T23:26:40.5727080Z quantized_decomposed_quantize_per_tensor_default_951: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_240, 0.0003379492845851928, 19066, 0, 65535, torch.int32); aten_permute_copy_default_240 = None 2025-06-05T23:26:40.5728213Z 2025-06-05T23:26:40.5728696Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.5730344Z quantized_decomposed_dequantize_per_tensor_default_1367: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_951, 0.0003379492845851928, 19066, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_951 = None 2025-06-05T23:26:40.5732975Z aten_convolution_default_39: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1367, quantized_decomposed_dequantize_per_tensor_default_52, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1367 = quantized_decomposed_dequantize_per_tensor_default_52 = None 2025-06-05T23:26:40.5735374Z quantized_decomposed_quantize_per_tensor_default_952: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_39, 0.00017915855278261006, 28370, 0, 65535, torch.int32); aten_convolution_default_39 = None 2025-06-05T23:26:40.5736520Z 2025-06-05T23:26:40.5737051Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.5738773Z quantized_decomposed_dequantize_per_tensor_default_1368: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_952, 0.00017915855278261006, 28370, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_952 = None 2025-06-05T23:26:40.5740905Z aten_permute_copy_default_241: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1368, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1368 = None 2025-06-05T23:26:40.5742792Z quantized_decomposed_quantize_per_tensor_default_953: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_241, 0.00017915855278261006, 28370, 0, 65535, torch.int32); aten_permute_copy_default_241 = None 2025-06-05T23:26:40.5743952Z 2025-06-05T23:26:40.5744615Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.5746436Z quantized_decomposed_dequantize_per_tensor_default_1369: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_953, 0.00017915855278261006, 28370, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_953 = None 2025-06-05T23:26:40.5748498Z aten_squeeze_copy_dims_63: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1369, [-1]); quantized_decomposed_dequantize_per_tensor_default_1369 = None 2025-06-05T23:26:40.5750337Z quantized_decomposed_quantize_per_tensor_default_954: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_63, 0.00017915855278261006, 28370, 0, 65535, torch.int32); aten_squeeze_copy_dims_63 = None 2025-06-05T23:26:40.5751528Z 2025-06-05T23:26:40.5752157Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:37 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-06-05T23:26:40.5753740Z quantized_decomposed_dequantize_per_tensor_default_1370: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_954, 0.00017915855278261006, 28370, 0, 65535, torch.int32) 2025-06-05T23:26:40.5755964Z quantized_decomposed_dequantize_per_tensor_default_1371: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_954, 0.00017915855278261006, 28370, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_954 = None 2025-06-05T23:26:40.5758002Z aten_sigmoid_default_5: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_sigmoid_default(quantized_decomposed_dequantize_per_tensor_default_1371); quantized_decomposed_dequantize_per_tensor_default_1371 = None 2025-06-05T23:26:40.5759776Z quantized_decomposed_quantize_per_tensor_default_955: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sigmoid_default_5, 1.52587890625e-05, 0, 0, 65535, torch.int32); aten_sigmoid_default_5 = None 2025-06-05T23:26:40.5761912Z quantized_decomposed_dequantize_per_tensor_default_1372: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_955, 1.52587890625e-05, 0, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_955 = None 2025-06-05T23:26:40.5764310Z aten_mul_tensor_88: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1370, quantized_decomposed_dequantize_per_tensor_default_1372); quantized_decomposed_dequantize_per_tensor_default_1370 = quantized_decomposed_dequantize_per_tensor_default_1372 = None 2025-06-05T23:26:40.5766469Z quantized_decomposed_quantize_per_tensor_default_956: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_88, 0.00010571902384981513, 2634, 0, 65535, torch.int32); aten_mul_tensor_88 = None 2025-06-05T23:26:40.5768626Z quantized_decomposed_dequantize_per_tensor_default_1373: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_956, 0.00010571902384981513, 2634, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_956 = None 2025-06-05T23:26:40.5769981Z 2025-06-05T23:26:40.5770619Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.5772075Z aten_unsqueeze_copy_default_64: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1364, -1); quantized_decomposed_dequantize_per_tensor_default_1364 = None 2025-06-05T23:26:40.5774240Z quantized_decomposed_quantize_per_tensor_default_957: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_64, 0.0003379492845851928, 19066, 0, 65535, torch.int32); aten_unsqueeze_copy_default_64 = None 2025-06-05T23:26:40.5775380Z 2025-06-05T23:26:40.5775998Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.5777679Z quantized_decomposed_dequantize_per_tensor_default_1374: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_957, 0.0003379492845851928, 19066, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_957 = None 2025-06-05T23:26:40.5779775Z aten_permute_copy_default_242: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1374, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1374 = None 2025-06-05T23:26:40.5781646Z quantized_decomposed_quantize_per_tensor_default_958: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_242, 0.0003379492845851928, 19066, 0, 65535, torch.int32); aten_permute_copy_default_242 = None 2025-06-05T23:26:40.5782790Z 2025-06-05T23:26:40.5783265Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.5784982Z quantized_decomposed_dequantize_per_tensor_default_1375: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_958, 0.0003379492845851928, 19066, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_958 = None 2025-06-05T23:26:40.5787625Z aten_convolution_default_40: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1375, quantized_decomposed_dequantize_per_tensor_default_53, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1375 = quantized_decomposed_dequantize_per_tensor_default_53 = None 2025-06-05T23:26:40.5789978Z quantized_decomposed_quantize_per_tensor_default_959: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_40, 0.0002466057485435158, 42095, 0, 65535, torch.int32); aten_convolution_default_40 = None 2025-06-05T23:26:40.5791240Z 2025-06-05T23:26:40.5798756Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.5800628Z quantized_decomposed_dequantize_per_tensor_default_1376: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_959, 0.0002466057485435158, 42095, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_959 = None 2025-06-05T23:26:40.5802753Z aten_permute_copy_default_243: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1376, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1376 = None 2025-06-05T23:26:40.5804634Z quantized_decomposed_quantize_per_tensor_default_960: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_243, 0.0002466057485435158, 42095, 0, 65535, torch.int32); aten_permute_copy_default_243 = None 2025-06-05T23:26:40.5805780Z 2025-06-05T23:26:40.5806461Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.5808434Z quantized_decomposed_dequantize_per_tensor_default_1377: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_960, 0.0002466057485435158, 42095, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_960 = None 2025-06-05T23:26:40.5810482Z aten_squeeze_copy_dims_64: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1377, [-1]); quantized_decomposed_dequantize_per_tensor_default_1377 = None 2025-06-05T23:26:40.5812293Z quantized_decomposed_quantize_per_tensor_default_961: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_64, 0.0002466057485435158, 42095, 0, 65535, torch.int32); aten_squeeze_copy_dims_64 = None 2025-06-05T23:26:40.5813412Z 2025-06-05T23:26:40.5814049Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:37 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-06-05T23:26:40.5815866Z quantized_decomposed_dequantize_per_tensor_default_1378: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_961, 0.0002466057485435158, 42095, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_961 = None 2025-06-05T23:26:40.5818541Z aten_mul_tensor_89: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1373, quantized_decomposed_dequantize_per_tensor_default_1378); quantized_decomposed_dequantize_per_tensor_default_1373 = quantized_decomposed_dequantize_per_tensor_default_1378 = None 2025-06-05T23:26:40.5820706Z quantized_decomposed_quantize_per_tensor_default_962: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_89, 0.0003100545145571232, 27801, 0, 65535, torch.int32); aten_mul_tensor_89 = None 2025-06-05T23:26:40.5821776Z 2025-06-05T23:26:40.5822431Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.5824233Z quantized_decomposed_dequantize_per_tensor_default_1379: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_962, 0.0003100545145571232, 27801, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_962 = None 2025-06-05T23:26:40.5826377Z aten_unsqueeze_copy_default_65: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1379, -1); quantized_decomposed_dequantize_per_tensor_default_1379 = None 2025-06-05T23:26:40.5828381Z quantized_decomposed_quantize_per_tensor_default_963: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_65, 0.0003100545145571232, 27801, 0, 65535, torch.int32); aten_unsqueeze_copy_default_65 = None 2025-06-05T23:26:40.5829599Z 2025-06-05T23:26:40.5830117Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.5831889Z quantized_decomposed_dequantize_per_tensor_default_1380: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_963, 0.0003100545145571232, 27801, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_963 = None 2025-06-05T23:26:40.5833976Z aten_permute_copy_default_244: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1380, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1380 = None 2025-06-05T23:26:40.5835901Z quantized_decomposed_quantize_per_tensor_default_964: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_244, 0.0003100545145571232, 27801, 0, 65535, torch.int32); aten_permute_copy_default_244 = None 2025-06-05T23:26:40.5837062Z 2025-06-05T23:26:40.5837533Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.5839191Z quantized_decomposed_dequantize_per_tensor_default_1381: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_964, 0.0003100545145571232, 27801, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_964 = None 2025-06-05T23:26:40.5841791Z aten_convolution_default_41: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1381, quantized_decomposed_dequantize_per_tensor_default_54, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1381 = quantized_decomposed_dequantize_per_tensor_default_54 = None 2025-06-05T23:26:40.5844176Z quantized_decomposed_quantize_per_tensor_default_965: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_41, 0.00021493309759534895, 11862, 0, 65535, torch.int32); aten_convolution_default_41 = None 2025-06-05T23:26:40.5845362Z 2025-06-05T23:26:40.5845911Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.5847640Z quantized_decomposed_dequantize_per_tensor_default_1382: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_965, 0.00021493309759534895, 11862, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_965 = None 2025-06-05T23:26:40.5849722Z aten_permute_copy_default_245: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1382, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1382 = None 2025-06-05T23:26:40.5851735Z quantized_decomposed_quantize_per_tensor_default_966: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_245, 0.00021493309759534895, 11862, 0, 65535, torch.int32); aten_permute_copy_default_245 = None 2025-06-05T23:26:40.5852885Z 2025-06-05T23:26:40.5853535Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.5855369Z quantized_decomposed_dequantize_per_tensor_default_1383: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_966, 0.00021493309759534895, 11862, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_966 = None 2025-06-05T23:26:40.5857424Z aten_squeeze_copy_dims_65: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1383, [-1]); quantized_decomposed_dequantize_per_tensor_default_1383 = None 2025-06-05T23:26:40.5859210Z quantized_decomposed_quantize_per_tensor_default_967: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_65, 0.00021493309759534895, 11862, 0, 65535, torch.int32); aten_squeeze_copy_dims_65 = None 2025-06-05T23:26:40.5860322Z 2025-06-05T23:26:40.5860988Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:136 in forward, code: out = h + self.feed_forward(self.ffn_norm(h)) 2025-06-05T23:26:40.5862982Z quantized_decomposed_dequantize_per_tensor_default_1384: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_967, 0.00021493309759534895, 11862, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_967 = None 2025-06-05T23:26:40.5865438Z aten_add_tensor_29: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_1362, quantized_decomposed_dequantize_per_tensor_default_1384); quantized_decomposed_dequantize_per_tensor_default_1362 = quantized_decomposed_dequantize_per_tensor_default_1384 = None 2025-06-05T23:26:40.5867565Z quantized_decomposed_quantize_per_tensor_default_968: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_29, 0.002668527187779546, 5953, 0, 65535, torch.int32); aten_add_tensor_29 = None 2025-06-05T23:26:40.5868627Z 2025-06-05T23:26:40.5869110Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:132 in forward, code: h = x + h 2025-06-05T23:26:40.5870565Z quantized_decomposed_dequantize_per_tensor_default_1385: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_968, 0.002668527187779546, 5953, 0, 65535, torch.int32) 2025-06-05T23:26:40.5871797Z 2025-06-05T23:26:40.5872495Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:129 in forward, code: self.attention_norm(x), freqs_cos, freqs_sin, **attn_options 2025-06-05T23:26:40.5874759Z quantized_decomposed_dequantize_per_tensor_default_1386: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_968, 0.002668527187779546, 5953, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_968 = None 2025-06-05T23:26:40.5876544Z aten_pow_tensor_scalar_12: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(quantized_decomposed_dequantize_per_tensor_default_1386, 2) 2025-06-05T23:26:40.5877774Z aten_mean_dim_12: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_mean_dim(aten_pow_tensor_scalar_12, [2], True); aten_pow_tensor_scalar_12 = None 2025-06-05T23:26:40.5878802Z aten_add_scalar_12: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_add_Scalar(aten_mean_dim_12, 9.999999747378752e-06); aten_mean_dim_12 = None 2025-06-05T23:26:40.5879774Z aten_rsqrt_default_12: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_rsqrt_default(aten_add_scalar_12); aten_add_scalar_12 = None 2025-06-05T23:26:40.5881187Z aten_mul_tensor_90: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1386, aten_rsqrt_default_12); quantized_decomposed_dequantize_per_tensor_default_1386 = aten_rsqrt_default_12 = None 2025-06-05T23:26:40.5882977Z aten_mul_tensor_91: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_90, quantized_decomposed_dequantize_per_tensor_default_55); aten_mul_tensor_90 = quantized_decomposed_dequantize_per_tensor_default_55 = None 2025-06-05T23:26:40.5884756Z quantized_decomposed_quantize_per_tensor_default_969: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_91, 0.0004216353117953986, 31504, 0, 65535, torch.int32); aten_mul_tensor_91 = None 2025-06-05T23:26:40.5885808Z 2025-06-05T23:26:40.5886508Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.5888058Z quantized_decomposed_dequantize_per_tensor_default_1387: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_969, 0.0004216353117953986, 31504, 0, 65535, torch.int32) 2025-06-05T23:26:40.5890039Z quantized_decomposed_dequantize_per_tensor_default_1388: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_969, 0.0004216353117953986, 31504, 0, 65535, torch.int32) 2025-06-05T23:26:40.5892242Z quantized_decomposed_dequantize_per_tensor_default_1389: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_969, 0.0004216353117953986, 31504, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_969 = None 2025-06-05T23:26:40.5894339Z aten_unsqueeze_copy_default_66: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1389, -1); quantized_decomposed_dequantize_per_tensor_default_1389 = None 2025-06-05T23:26:40.5896251Z quantized_decomposed_quantize_per_tensor_default_970: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_66, 0.0004216353117953986, 31504, 0, 65535, torch.int32); aten_unsqueeze_copy_default_66 = None 2025-06-05T23:26:40.5897436Z 2025-06-05T23:26:40.5897951Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.5899630Z quantized_decomposed_dequantize_per_tensor_default_1390: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_970, 0.0004216353117953986, 31504, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_970 = None 2025-06-05T23:26:40.5901715Z aten_permute_copy_default_246: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1390, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1390 = None 2025-06-05T23:26:40.5903643Z quantized_decomposed_quantize_per_tensor_default_971: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_246, 0.0004216353117953986, 31504, 0, 65535, torch.int32); aten_permute_copy_default_246 = None 2025-06-05T23:26:40.5904772Z 2025-06-05T23:26:40.5905256Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.5906911Z quantized_decomposed_dequantize_per_tensor_default_1391: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_971, 0.0004216353117953986, 31504, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_971 = None 2025-06-05T23:26:40.5909493Z aten_convolution_default_42: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1391, quantized_decomposed_dequantize_per_tensor_default_56, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1391 = quantized_decomposed_dequantize_per_tensor_default_56 = None 2025-06-05T23:26:40.5911950Z quantized_decomposed_quantize_per_tensor_default_972: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_42, 0.00036033670767210424, 26444, 0, 65535, torch.int32); aten_convolution_default_42 = None 2025-06-05T23:26:40.5913098Z 2025-06-05T23:26:40.5913631Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.5915337Z quantized_decomposed_dequantize_per_tensor_default_1392: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_972, 0.00036033670767210424, 26444, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_972 = None 2025-06-05T23:26:40.5917429Z aten_permute_copy_default_247: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1392, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1392 = None 2025-06-05T23:26:40.5919299Z quantized_decomposed_quantize_per_tensor_default_973: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_247, 0.00036033670767210424, 26444, 0, 65535, torch.int32); aten_permute_copy_default_247 = None 2025-06-05T23:26:40.5920451Z 2025-06-05T23:26:40.5921116Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.5922977Z quantized_decomposed_dequantize_per_tensor_default_1393: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_973, 0.00036033670767210424, 26444, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_973 = None 2025-06-05T23:26:40.5925051Z aten_squeeze_copy_dims_66: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1393, [-1]); quantized_decomposed_dequantize_per_tensor_default_1393 = None 2025-06-05T23:26:40.5926849Z quantized_decomposed_quantize_per_tensor_default_974: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_66, 0.00036033670767210424, 26444, 0, 65535, torch.int32); aten_squeeze_copy_dims_66 = None 2025-06-05T23:26:40.5927991Z 2025-06-05T23:26:40.5928624Z # File: /pytorch/executorch/examples/models/llama/attention.py:405 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim) 2025-06-05T23:26:40.5930429Z quantized_decomposed_dequantize_per_tensor_default_1394: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_974, 0.00036033670767210424, 26444, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_974 = None 2025-06-05T23:26:40.5931782Z 2025-06-05T23:26:40.5932423Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.5933872Z aten_unsqueeze_copy_default_67: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1388, -1); quantized_decomposed_dequantize_per_tensor_default_1388 = None 2025-06-05T23:26:40.5935752Z quantized_decomposed_quantize_per_tensor_default_975: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_67, 0.0004216353117953986, 31504, 0, 65535, torch.int32); aten_unsqueeze_copy_default_67 = None 2025-06-05T23:26:40.5936903Z 2025-06-05T23:26:40.5937457Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.5939133Z quantized_decomposed_dequantize_per_tensor_default_1395: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_975, 0.0004216353117953986, 31504, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_975 = None 2025-06-05T23:26:40.5941225Z aten_permute_copy_default_248: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1395, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1395 = None 2025-06-05T23:26:40.5943106Z quantized_decomposed_quantize_per_tensor_default_976: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_248, 0.0004216353117953986, 31504, 0, 65535, torch.int32); aten_permute_copy_default_248 = None 2025-06-05T23:26:40.5944250Z 2025-06-05T23:26:40.5944738Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.5946394Z quantized_decomposed_dequantize_per_tensor_default_1396: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_976, 0.0004216353117953986, 31504, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_976 = None 2025-06-05T23:26:40.5949024Z aten_convolution_default_43: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1396, quantized_decomposed_dequantize_per_tensor_default_57, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1396 = quantized_decomposed_dequantize_per_tensor_default_57 = None 2025-06-05T23:26:40.5951452Z quantized_decomposed_quantize_per_tensor_default_977: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_43, 0.00046843686141073704, 34413, 0, 65535, torch.int32); aten_convolution_default_43 = None 2025-06-05T23:26:40.5952606Z 2025-06-05T23:26:40.5953141Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.5954891Z quantized_decomposed_dequantize_per_tensor_default_1397: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_977, 0.00046843686141073704, 34413, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_977 = None 2025-06-05T23:26:40.5956996Z aten_permute_copy_default_249: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1397, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1397 = None 2025-06-05T23:26:40.5958884Z quantized_decomposed_quantize_per_tensor_default_978: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_249, 0.00046843686141073704, 34413, 0, 65535, torch.int32); aten_permute_copy_default_249 = None 2025-06-05T23:26:40.5960026Z 2025-06-05T23:26:40.5960693Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.5962543Z quantized_decomposed_dequantize_per_tensor_default_1398: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_978, 0.00046843686141073704, 34413, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_978 = None 2025-06-05T23:26:40.5964585Z aten_squeeze_copy_dims_67: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1398, [-1]); quantized_decomposed_dequantize_per_tensor_default_1398 = None 2025-06-05T23:26:40.5966379Z quantized_decomposed_quantize_per_tensor_default_979: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_67, 0.00046843686141073704, 34413, 0, 65535, torch.int32); aten_squeeze_copy_dims_67 = None 2025-06-05T23:26:40.5967494Z 2025-06-05T23:26:40.5968132Z # File: /pytorch/executorch/examples/models/llama/attention.py:406 in forward, code: k = k.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim) 2025-06-05T23:26:40.5969957Z quantized_decomposed_dequantize_per_tensor_default_1399: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_979, 0.00046843686141073704, 34413, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_979 = None 2025-06-05T23:26:40.5971308Z 2025-06-05T23:26:40.5971934Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.5973700Z aten_unsqueeze_copy_default_68: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1387, -1); quantized_decomposed_dequantize_per_tensor_default_1387 = None 2025-06-05T23:26:40.5975649Z quantized_decomposed_quantize_per_tensor_default_980: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_68, 0.0004216353117953986, 31504, 0, 65535, torch.int32); aten_unsqueeze_copy_default_68 = None 2025-06-05T23:26:40.5976789Z 2025-06-05T23:26:40.5977313Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.5978981Z quantized_decomposed_dequantize_per_tensor_default_1400: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_980, 0.0004216353117953986, 31504, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_980 = None 2025-06-05T23:26:40.5981120Z aten_permute_copy_default_250: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1400, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1400 = None 2025-06-05T23:26:40.5982995Z quantized_decomposed_quantize_per_tensor_default_981: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_250, 0.0004216353117953986, 31504, 0, 65535, torch.int32); aten_permute_copy_default_250 = None 2025-06-05T23:26:40.5984139Z 2025-06-05T23:26:40.5984607Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.5986263Z quantized_decomposed_dequantize_per_tensor_default_1401: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_981, 0.0004216353117953986, 31504, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_981 = None 2025-06-05T23:26:40.5988897Z aten_convolution_default_44: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1401, quantized_decomposed_dequantize_per_tensor_default_58, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1401 = quantized_decomposed_dequantize_per_tensor_default_58 = None 2025-06-05T23:26:40.5991304Z quantized_decomposed_quantize_per_tensor_default_982: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_44, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_convolution_default_44 = None 2025-06-05T23:26:40.5992447Z 2025-06-05T23:26:40.5992998Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.5994695Z quantized_decomposed_dequantize_per_tensor_default_1402: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_982, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_982 = None 2025-06-05T23:26:40.5996793Z aten_permute_copy_default_251: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1402, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1402 = None 2025-06-05T23:26:40.5998701Z quantized_decomposed_quantize_per_tensor_default_983: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_251, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_permute_copy_default_251 = None 2025-06-05T23:26:40.5999885Z 2025-06-05T23:26:40.6000546Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.6002372Z quantized_decomposed_dequantize_per_tensor_default_1403: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_983, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_983 = None 2025-06-05T23:26:40.6004404Z aten_squeeze_copy_dims_68: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1403, [-1]); quantized_decomposed_dequantize_per_tensor_default_1403 = None 2025-06-05T23:26:40.6006232Z quantized_decomposed_quantize_per_tensor_default_984: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_68, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_squeeze_copy_dims_68 = None 2025-06-05T23:26:40.6007343Z 2025-06-05T23:26:40.6007989Z # File: /pytorch/executorch/examples/models/llama/attention.py:407 in forward, code: v = v.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim) 2025-06-05T23:26:40.6009801Z quantized_decomposed_dequantize_per_tensor_default_1404: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_984, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_984 = None 2025-06-05T23:26:40.6011154Z 2025-06-05T23:26:40.6011781Z # File: /pytorch/executorch/examples/models/llama/attention.py:405 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim) 2025-06-05T23:26:40.6013198Z aten_view_copy_default_108: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1394, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_1394 = None 2025-06-05T23:26:40.6015035Z quantized_decomposed_quantize_per_tensor_default_985: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_108, 0.00036033670767210424, 26444, 0, 65535, torch.int32); aten_view_copy_default_108 = None 2025-06-05T23:26:40.6016140Z 2025-06-05T23:26:40.6016788Z # File: /pytorch/executorch/examples/models/llama/rope.py:84 in apply_rotary_emb, code: xq_r, xq_i = xq.float().reshape(xq.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.6018595Z quantized_decomposed_dequantize_per_tensor_default_1405: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_985, 0.00036033670767210424, 26444, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_985 = None 2025-06-05T23:26:40.6019932Z 2025-06-05T23:26:40.6020578Z # File: /pytorch/executorch/examples/models/llama/attention.py:406 in forward, code: k = k.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim) 2025-06-05T23:26:40.6021996Z aten_view_copy_default_109: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1399, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_1399 = None 2025-06-05T23:26:40.6023828Z quantized_decomposed_quantize_per_tensor_default_986: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_109, 0.00046843686141073704, 34413, 0, 65535, torch.int32); aten_view_copy_default_109 = None 2025-06-05T23:26:40.6024978Z 2025-06-05T23:26:40.6025622Z # File: /pytorch/executorch/examples/models/llama/rope.py:85 in apply_rotary_emb, code: xk_r, xk_i = xk.float().reshape(xk.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.6027415Z quantized_decomposed_dequantize_per_tensor_default_1406: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_986, 0.00046843686141073704, 34413, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_986 = None 2025-06-05T23:26:40.6028772Z 2025-06-05T23:26:40.6029407Z # File: /pytorch/executorch/examples/models/llama/attention.py:407 in forward, code: v = v.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim) 2025-06-05T23:26:40.6030930Z aten_view_copy_default_110: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1404, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_1404 = None 2025-06-05T23:26:40.6032750Z quantized_decomposed_quantize_per_tensor_default_987: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_110, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_view_copy_default_110 = None 2025-06-05T23:26:40.6033864Z 2025-06-05T23:26:40.6034653Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:511 in update, code: v_out = torch.ops.aten.index_put_(self.past_v_caches, [None, input_pos], v_val) 2025-06-05T23:26:40.6036616Z quantized_decomposed_dequantize_per_tensor_default_1407: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_987, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_987 = None 2025-06-05T23:26:40.6037957Z 2025-06-05T23:26:40.6038601Z # File: /pytorch/executorch/examples/models/llama/rope.py:84 in apply_rotary_emb, code: xq_r, xq_i = xq.float().reshape(xq.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.6040097Z aten_view_copy_default_111: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1405, [1, 1, 12, -1, 2]); quantized_decomposed_dequantize_per_tensor_default_1405 = None 2025-06-05T23:26:40.6041923Z quantized_decomposed_quantize_per_tensor_default_988: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_111, 0.00036033670767210424, 26444, 0, 65535, torch.int32); aten_view_copy_default_111 = None 2025-06-05T23:26:40.6044132Z quantized_decomposed_dequantize_per_tensor_default_1408: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_988, 0.00036033670767210424, 26444, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_988 = None 2025-06-05T23:26:40.6045950Z aten_slice_copy_tensor_24: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_1408, 4, 0, 1) 2025-06-05T23:26:40.6047372Z aten_slice_copy_tensor_25: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_1408, 4, 1, 2); quantized_decomposed_dequantize_per_tensor_default_1408 = None 2025-06-05T23:26:40.6048755Z aten_squeeze_copy_dims_69: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_24, [4]); aten_slice_copy_tensor_24 = None 2025-06-05T23:26:40.6049962Z aten_squeeze_copy_dims_70: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_25, [4]); aten_slice_copy_tensor_25 = None 2025-06-05T23:26:40.6051519Z quantized_decomposed_quantize_per_tensor_default_989: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_69, 0.00036033670767210424, 26444, 0, 65535, torch.int32); aten_squeeze_copy_dims_69 = None 2025-06-05T23:26:40.6052629Z 2025-06-05T23:26:40.6053236Z # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos 2025-06-05T23:26:40.6054768Z quantized_decomposed_dequantize_per_tensor_default_1409: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_989, 0.00036033670767210424, 26444, 0, 65535, torch.int32) 2025-06-05T23:26:40.6055913Z 2025-06-05T23:26:40.6056507Z # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin 2025-06-05T23:26:40.6058260Z quantized_decomposed_dequantize_per_tensor_default_1410: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_989, 0.00036033670767210424, 26444, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_989 = None 2025-06-05T23:26:40.6059606Z 2025-06-05T23:26:40.6060246Z # File: /pytorch/executorch/examples/models/llama/rope.py:84 in apply_rotary_emb, code: xq_r, xq_i = xq.float().reshape(xq.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.6061791Z quantized_decomposed_quantize_per_tensor_default_990: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_70, 0.00036033670767210424, 26444, 0, 65535, torch.int32); aten_squeeze_copy_dims_70 = None 2025-06-05T23:26:40.6062902Z 2025-06-05T23:26:40.6063500Z # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin 2025-06-05T23:26:40.6065036Z quantized_decomposed_dequantize_per_tensor_default_1411: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_990, 0.00036033670767210424, 26444, 0, 65535, torch.int32) 2025-06-05T23:26:40.6066162Z 2025-06-05T23:26:40.6066742Z # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos 2025-06-05T23:26:40.6068498Z quantized_decomposed_dequantize_per_tensor_default_1412: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_990, 0.00036033670767210424, 26444, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_990 = None 2025-06-05T23:26:40.6069854Z 2025-06-05T23:26:40.6070510Z # File: /pytorch/executorch/examples/models/llama/rope.py:85 in apply_rotary_emb, code: xk_r, xk_i = xk.float().reshape(xk.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.6072038Z aten_view_copy_default_112: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1406, [1, 1, 12, -1, 2]); quantized_decomposed_dequantize_per_tensor_default_1406 = None 2025-06-05T23:26:40.6074177Z quantized_decomposed_quantize_per_tensor_default_991: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_112, 0.00046843686141073704, 34413, 0, 65535, torch.int32); aten_view_copy_default_112 = None 2025-06-05T23:26:40.6076443Z quantized_decomposed_dequantize_per_tensor_default_1413: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_991, 0.00046843686141073704, 34413, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_991 = None 2025-06-05T23:26:40.6078262Z aten_slice_copy_tensor_26: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_1413, 4, 0, 1) 2025-06-05T23:26:40.6079684Z aten_slice_copy_tensor_27: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_1413, 4, 1, 2); quantized_decomposed_dequantize_per_tensor_default_1413 = None 2025-06-05T23:26:40.6081114Z aten_squeeze_copy_dims_71: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_26, [4]); aten_slice_copy_tensor_26 = None 2025-06-05T23:26:40.6082278Z aten_squeeze_copy_dims_72: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_27, [4]); aten_slice_copy_tensor_27 = None 2025-06-05T23:26:40.6083848Z quantized_decomposed_quantize_per_tensor_default_992: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_71, 0.00046843686141073704, 34413, 0, 65535, torch.int32); aten_squeeze_copy_dims_71 = None 2025-06-05T23:26:40.6084946Z 2025-06-05T23:26:40.6085551Z # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos 2025-06-05T23:26:40.6087059Z quantized_decomposed_dequantize_per_tensor_default_1414: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_992, 0.00046843686141073704, 34413, 0, 65535, torch.int32) 2025-06-05T23:26:40.6088193Z 2025-06-05T23:26:40.6088792Z # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin 2025-06-05T23:26:40.6090574Z quantized_decomposed_dequantize_per_tensor_default_1415: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_992, 0.00046843686141073704, 34413, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_992 = None 2025-06-05T23:26:40.6091946Z 2025-06-05T23:26:40.6092590Z # File: /pytorch/executorch/examples/models/llama/rope.py:85 in apply_rotary_emb, code: xk_r, xk_i = xk.float().reshape(xk.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.6094142Z quantized_decomposed_quantize_per_tensor_default_993: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_72, 0.00046843686141073704, 34413, 0, 65535, torch.int32); aten_squeeze_copy_dims_72 = None 2025-06-05T23:26:40.6095255Z 2025-06-05T23:26:40.6095851Z # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin 2025-06-05T23:26:40.6097362Z quantized_decomposed_dequantize_per_tensor_default_1416: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_993, 0.00046843686141073704, 34413, 0, 65535, torch.int32) 2025-06-05T23:26:40.6098480Z 2025-06-05T23:26:40.6099098Z # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos 2025-06-05T23:26:40.6100881Z quantized_decomposed_dequantize_per_tensor_default_1417: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_993, 0.00046843686141073704, 34413, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_993 = None 2025-06-05T23:26:40.6102236Z 2025-06-05T23:26:40.6102780Z # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape) 2025-06-05T23:26:40.6104104Z aten_view_copy_default_113: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_156, [1, 1, 1, 32]); quantized_decomposed_dequantize_per_tensor_default_156 = None 2025-06-05T23:26:40.6105928Z quantized_decomposed_quantize_per_tensor_default_994: "i32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_113, 3.051804378628731e-05, 32768, 0, 65535, torch.int32); aten_view_copy_default_113 = None 2025-06-05T23:26:40.6107022Z 2025-06-05T23:26:40.6107614Z # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos 2025-06-05T23:26:40.6109143Z quantized_decomposed_dequantize_per_tensor_default_1418: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_994, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-06-05T23:26:40.6110261Z 2025-06-05T23:26:40.6110940Z # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin 2025-06-05T23:26:40.6112446Z quantized_decomposed_dequantize_per_tensor_default_1419: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_994, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-06-05T23:26:40.6113568Z 2025-06-05T23:26:40.6114201Z # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos 2025-06-05T23:26:40.6115701Z quantized_decomposed_dequantize_per_tensor_default_1420: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_994, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-06-05T23:26:40.6116824Z 2025-06-05T23:26:40.6117424Z # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin 2025-06-05T23:26:40.6119157Z quantized_decomposed_dequantize_per_tensor_default_1421: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_994, 3.051804378628731e-05, 32768, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_994 = None 2025-06-05T23:26:40.6120513Z 2025-06-05T23:26:40.6121074Z # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape) 2025-06-05T23:26:40.6122380Z aten_view_copy_default_114: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_168, [1, 1, 1, 32]); quantized_decomposed_dequantize_per_tensor_default_168 = None 2025-06-05T23:26:40.6124206Z quantized_decomposed_quantize_per_tensor_default_995: "i32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_114, 3.051786916330457e-05, 32767, 0, 65535, torch.int32); aten_view_copy_default_114 = None 2025-06-05T23:26:40.6125342Z 2025-06-05T23:26:40.6125922Z # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin 2025-06-05T23:26:40.6127438Z quantized_decomposed_dequantize_per_tensor_default_1422: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_995, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-06-05T23:26:40.6128543Z 2025-06-05T23:26:40.6129132Z # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos 2025-06-05T23:26:40.6130668Z quantized_decomposed_dequantize_per_tensor_default_1423: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_995, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-06-05T23:26:40.6131770Z 2025-06-05T23:26:40.6132359Z # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin 2025-06-05T23:26:40.6133877Z quantized_decomposed_dequantize_per_tensor_default_1424: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_995, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-06-05T23:26:40.6134986Z 2025-06-05T23:26:40.6135580Z # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos 2025-06-05T23:26:40.6137310Z quantized_decomposed_dequantize_per_tensor_default_1425: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_995, 3.051786916330457e-05, 32767, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_995 = None 2025-06-05T23:26:40.6138656Z 2025-06-05T23:26:40.6139275Z # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin 2025-06-05T23:26:40.6141004Z aten_mul_tensor_92: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1410, quantized_decomposed_dequantize_per_tensor_default_1421); quantized_decomposed_dequantize_per_tensor_default_1410 = quantized_decomposed_dequantize_per_tensor_default_1421 = None 2025-06-05T23:26:40.6143136Z quantized_decomposed_quantize_per_tensor_default_996: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_92, 0.0002917187812272459, 32599, 0, 65535, torch.int32); aten_mul_tensor_92 = None 2025-06-05T23:26:40.6145271Z quantized_decomposed_dequantize_per_tensor_default_1426: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_996, 0.0002917187812272459, 32599, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_996 = None 2025-06-05T23:26:40.6147697Z aten_mul_tensor_93: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1411, quantized_decomposed_dequantize_per_tensor_default_1424); quantized_decomposed_dequantize_per_tensor_default_1411 = quantized_decomposed_dequantize_per_tensor_default_1424 = None 2025-06-05T23:26:40.6149833Z quantized_decomposed_quantize_per_tensor_default_997: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_93, 0.00021490042854566127, 31703, 0, 65535, torch.int32); aten_mul_tensor_93 = None 2025-06-05T23:26:40.6152067Z quantized_decomposed_dequantize_per_tensor_default_1427: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_997, 0.00021490042854566127, 31703, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_997 = None 2025-06-05T23:26:40.6154498Z aten_sub_tensor_12: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(quantized_decomposed_dequantize_per_tensor_default_1426, quantized_decomposed_dequantize_per_tensor_default_1427); quantized_decomposed_dequantize_per_tensor_default_1426 = quantized_decomposed_dequantize_per_tensor_default_1427 = None 2025-06-05T23:26:40.6156666Z quantized_decomposed_quantize_per_tensor_default_998: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sub_tensor_12, 0.00034964593942277133, 27258, 0, 65535, torch.int32); aten_sub_tensor_12 = None 2025-06-05T23:26:40.6157714Z 2025-06-05T23:26:40.6158804Z # File: .74:3627 in forward, code: dequantize_per_tensor_default_1153 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1153, 0.00034964593942277133, 27258, 0, 65535, torch.int32); quantize_per_tensor_default_1153 = None 2025-06-05T23:26:40.6161047Z quantized_decomposed_dequantize_per_tensor_default_1428: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_998, 0.00034964593942277133, 27258, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_998 = None 2025-06-05T23:26:40.6162388Z 2025-06-05T23:26:40.6162988Z # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos 2025-06-05T23:26:40.6164750Z aten_mul_tensor_94: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1409, quantized_decomposed_dequantize_per_tensor_default_1425); quantized_decomposed_dequantize_per_tensor_default_1409 = quantized_decomposed_dequantize_per_tensor_default_1425 = None 2025-06-05T23:26:40.6166866Z quantized_decomposed_quantize_per_tensor_default_999: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_94, 0.00015702449309173971, 33148, 0, 65535, torch.int32); aten_mul_tensor_94 = None 2025-06-05T23:26:40.6169009Z quantized_decomposed_dequantize_per_tensor_default_1429: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_999, 0.00015702449309173971, 33148, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_999 = None 2025-06-05T23:26:40.6171434Z aten_mul_tensor_95: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1412, quantized_decomposed_dequantize_per_tensor_default_1420); quantized_decomposed_dequantize_per_tensor_default_1412 = quantized_decomposed_dequantize_per_tensor_default_1420 = None 2025-06-05T23:26:40.6173875Z quantized_decomposed_quantize_per_tensor_default_1000: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_95, 0.00033834765781648457, 24827, 0, 65535, torch.int32); aten_mul_tensor_95 = None 2025-06-05T23:26:40.6176122Z quantized_decomposed_dequantize_per_tensor_default_1430: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1000, 0.00033834765781648457, 24827, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1000 = None 2025-06-05T23:26:40.6178601Z aten_add_tensor_30: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_1429, quantized_decomposed_dequantize_per_tensor_default_1430); quantized_decomposed_dequantize_per_tensor_default_1429 = quantized_decomposed_dequantize_per_tensor_default_1430 = None 2025-06-05T23:26:40.6179475Z quantized_decomposed_quantize_per_tensor_default_1001: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_30, 0.00034964593942277133, 27258, 0, 65535, torch.int32); aten_add_tensor_30 = None 2025-06-05T23:26:40.6179594Z 2025-06-05T23:26:40.6180557Z # File: .74:3636 in forward, code: dequantize_per_tensor_default_1156 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1156, 0.00034964593942277133, 27258, 0, 65535, torch.int32); quantize_per_tensor_default_1156 = None 2025-06-05T23:26:40.6181739Z quantized_decomposed_dequantize_per_tensor_default_1431: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1001, 0.00034964593942277133, 27258, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1001 = None 2025-06-05T23:26:40.6181816Z 2025-06-05T23:26:40.6182291Z # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin 2025-06-05T23:26:40.6183514Z aten_mul_tensor_96: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1415, quantized_decomposed_dequantize_per_tensor_default_1419); quantized_decomposed_dequantize_per_tensor_default_1415 = quantized_decomposed_dequantize_per_tensor_default_1419 = None 2025-06-05T23:26:40.6184448Z quantized_decomposed_quantize_per_tensor_default_1002: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_96, 0.00042510710773058236, 32035, 0, 65535, torch.int32); aten_mul_tensor_96 = None 2025-06-05T23:26:40.6185685Z quantized_decomposed_dequantize_per_tensor_default_1432: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1002, 0.00042510710773058236, 32035, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1002 = None 2025-06-05T23:26:40.6186839Z aten_mul_tensor_97: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1416, quantized_decomposed_dequantize_per_tensor_default_1422); quantized_decomposed_dequantize_per_tensor_default_1416 = quantized_decomposed_dequantize_per_tensor_default_1422 = None 2025-06-05T23:26:40.6187723Z quantized_decomposed_quantize_per_tensor_default_1003: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_97, 0.00023940755636431277, 32509, 0, 65535, torch.int32); aten_mul_tensor_97 = None 2025-06-05T23:26:40.6188890Z quantized_decomposed_dequantize_per_tensor_default_1433: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1003, 0.00023940755636431277, 32509, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1003 = None 2025-06-05T23:26:40.6190067Z aten_sub_tensor_13: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(quantized_decomposed_dequantize_per_tensor_default_1432, quantized_decomposed_dequantize_per_tensor_default_1433); quantized_decomposed_dequantize_per_tensor_default_1432 = quantized_decomposed_dequantize_per_tensor_default_1433 = None 2025-06-05T23:26:40.6191039Z quantized_decomposed_quantize_per_tensor_default_1004: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sub_tensor_13, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_sub_tensor_13 = None 2025-06-05T23:26:40.6191118Z 2025-06-05T23:26:40.6192066Z # File: .74:3645 in forward, code: dequantize_per_tensor_default_1159 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1159, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantize_per_tensor_default_1159 = None 2025-06-05T23:26:40.6193273Z quantized_decomposed_dequantize_per_tensor_default_1434: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1004, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1004 = None 2025-06-05T23:26:40.6193352Z 2025-06-05T23:26:40.6193839Z # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos 2025-06-05T23:26:40.6194987Z aten_mul_tensor_98: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1414, quantized_decomposed_dequantize_per_tensor_default_1423); quantized_decomposed_dequantize_per_tensor_default_1414 = quantized_decomposed_dequantize_per_tensor_default_1423 = None 2025-06-05T23:26:40.6195855Z quantized_decomposed_quantize_per_tensor_default_1005: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_98, 0.00021039359853602946, 32216, 0, 65535, torch.int32); aten_mul_tensor_98 = None 2025-06-05T23:26:40.6197065Z quantized_decomposed_dequantize_per_tensor_default_1435: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1005, 0.00021039359853602946, 32216, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1005 = None 2025-06-05T23:26:40.6198201Z aten_mul_tensor_99: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1417, quantized_decomposed_dequantize_per_tensor_default_1418); quantized_decomposed_dequantize_per_tensor_default_1417 = quantized_decomposed_dequantize_per_tensor_default_1418 = None 2025-06-05T23:26:40.6199078Z quantized_decomposed_quantize_per_tensor_default_1006: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_99, 0.00045264922664500773, 34909, 0, 65535, torch.int32); aten_mul_tensor_99 = None 2025-06-05T23:26:40.6200242Z quantized_decomposed_dequantize_per_tensor_default_1436: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1006, 0.00045264922664500773, 34909, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1006 = None 2025-06-05T23:26:40.6201393Z aten_add_tensor_31: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_1435, quantized_decomposed_dequantize_per_tensor_default_1436); quantized_decomposed_dequantize_per_tensor_default_1435 = quantized_decomposed_dequantize_per_tensor_default_1436 = None 2025-06-05T23:26:40.6202273Z quantized_decomposed_quantize_per_tensor_default_1007: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_31, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_add_tensor_31 = None 2025-06-05T23:26:40.6202376Z 2025-06-05T23:26:40.6203342Z # File: .74:3654 in forward, code: dequantize_per_tensor_default_1162 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1162, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantize_per_tensor_default_1162 = None 2025-06-05T23:26:40.6204501Z quantized_decomposed_dequantize_per_tensor_default_1437: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1007, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1007 = None 2025-06-05T23:26:40.6204601Z 2025-06-05T23:26:40.6205140Z # File: /pytorch/executorch/examples/models/llama/rope.py:95 in apply_rotary_emb, code: xq_out = torch.stack([xq_out_r, xq_out_i], dim=-1).flatten(3) 2025-06-05T23:26:40.6205954Z aten_unsqueeze_copy_default_69: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1428, 4); quantized_decomposed_dequantize_per_tensor_default_1428 = None 2025-06-05T23:26:40.6206773Z aten_unsqueeze_copy_default_70: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1431, 4); quantized_decomposed_dequantize_per_tensor_default_1431 = None 2025-06-05T23:26:40.6207511Z aten_cat_default_24: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_unsqueeze_copy_default_69, aten_unsqueeze_copy_default_70], -1); aten_unsqueeze_copy_default_69 = aten_unsqueeze_copy_default_70 = None 2025-06-05T23:26:40.6208391Z quantized_decomposed_quantize_per_tensor_default_1008: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_24, 0.00034964593942277133, 27258, 0, 65535, torch.int32); aten_cat_default_24 = None 2025-06-05T23:26:40.6209599Z quantized_decomposed_dequantize_per_tensor_default_1438: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1008, 0.00034964593942277133, 27258, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1008 = None 2025-06-05T23:26:40.6210375Z aten_view_copy_default_115: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1438, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_1438 = None 2025-06-05T23:26:40.6211319Z quantized_decomposed_quantize_per_tensor_default_1009: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_115, 0.00034964593942277133, 27258, 0, 65535, torch.int32); aten_view_copy_default_115 = None 2025-06-05T23:26:40.6211399Z 2025-06-05T23:26:40.6212358Z # File: .74:3660 in forward, code: dequantize_per_tensor_default_1164 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1164, 0.00034964593942277133, 27258, 0, 65535, torch.int32); quantize_per_tensor_default_1164 = None 2025-06-05T23:26:40.6213548Z quantized_decomposed_dequantize_per_tensor_default_1439: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1009, 0.00034964593942277133, 27258, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1009 = None 2025-06-05T23:26:40.6213627Z 2025-06-05T23:26:40.6214199Z # File: /pytorch/executorch/examples/models/llama/rope.py:96 in apply_rotary_emb, code: xk_out = torch.stack([xk_out_r, xk_out_i], dim=-1).flatten(3) 2025-06-05T23:26:40.6215020Z aten_unsqueeze_copy_default_71: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1434, 4); quantized_decomposed_dequantize_per_tensor_default_1434 = None 2025-06-05T23:26:40.6215825Z aten_unsqueeze_copy_default_72: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1437, 4); quantized_decomposed_dequantize_per_tensor_default_1437 = None 2025-06-05T23:26:40.6216576Z aten_cat_default_25: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_unsqueeze_copy_default_71, aten_unsqueeze_copy_default_72], -1); aten_unsqueeze_copy_default_71 = aten_unsqueeze_copy_default_72 = None 2025-06-05T23:26:40.6217474Z quantized_decomposed_quantize_per_tensor_default_1010: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_25, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_cat_default_25 = None 2025-06-05T23:26:40.6218645Z quantized_decomposed_dequantize_per_tensor_default_1440: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1010, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1010 = None 2025-06-05T23:26:40.6219437Z aten_view_copy_default_116: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1440, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_1440 = None 2025-06-05T23:26:40.6220358Z quantized_decomposed_quantize_per_tensor_default_1011: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_116, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_view_copy_default_116 = None 2025-06-05T23:26:40.6220448Z 2025-06-05T23:26:40.6221413Z # File: .74:3666 in forward, code: dequantize_per_tensor_default_1166 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1166, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantize_per_tensor_default_1166 = None 2025-06-05T23:26:40.6222574Z quantized_decomposed_dequantize_per_tensor_default_1441: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1011, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1011 = None 2025-06-05T23:26:40.6222669Z 2025-06-05T23:26:40.6223437Z # File: .74:3668 in forward, code: quantize_per_tensor_default_1167 = torch.ops.quantized_decomposed.quantize_per_tensor.default(type_as_12, 0.00034964593942277133, 27258, 0, 65535, torch.int32); type_as_12 = None 2025-06-05T23:26:40.6224609Z quantized_decomposed_quantize_per_tensor_default_1012: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_1439, 0.00034964593942277133, 27258, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_1439 = None 2025-06-05T23:26:40.6224702Z 2025-06-05T23:26:40.6225230Z # File: /pytorch/executorch/examples/models/llama/attention.py:416 in forward, code: q = q.transpose(1, 2) # (bs, n_local_heads, seqlen, head_dim) 2025-06-05T23:26:40.6226422Z quantized_decomposed_dequantize_per_tensor_default_1442: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1012, 0.00034964593942277133, 27258, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1012 = None 2025-06-05T23:26:40.6226538Z 2025-06-05T23:26:40.6227301Z # File: .74:3671 in forward, code: quantize_per_tensor_default_1168 = torch.ops.quantized_decomposed.quantize_per_tensor.default(type_as_13, 0.000468338665086776, 33988, 0, 65535, torch.int32); type_as_13 = None 2025-06-05T23:26:40.6228478Z quantized_decomposed_quantize_per_tensor_default_1013: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_1441, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_1441 = None 2025-06-05T23:26:40.6228592Z 2025-06-05T23:26:40.6229271Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:510 in update, code: k_out = torch.ops.aten.index_put_(self.past_k_caches, [None, input_pos], k_val) 2025-06-05T23:26:40.6230453Z quantized_decomposed_dequantize_per_tensor_default_1443: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1013, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1013 = None 2025-06-05T23:26:40.6230531Z 2025-06-05T23:26:40.6231131Z # File: /pytorch/executorch/examples/models/llama/attention.py:416 in forward, code: q = q.transpose(1, 2) # (bs, n_local_heads, seqlen, head_dim) 2025-06-05T23:26:40.6231961Z aten_permute_copy_default_252: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1442, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1442 = None 2025-06-05T23:26:40.6232924Z quantized_decomposed_quantize_per_tensor_default_1014: "i32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_252, 0.00034964593942277133, 27258, 0, 65535, torch.int32); aten_permute_copy_default_252 = None 2025-06-05T23:26:40.6233000Z 2025-06-05T23:26:40.6233622Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:324 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-06-05T23:26:40.6234798Z quantized_decomposed_dequantize_per_tensor_default_1444: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1014, 0.00034964593942277133, 27258, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1014 = None 2025-06-05T23:26:40.6234892Z 2025-06-05T23:26:40.6235328Z # File: /pytorch/executorch/examples/models/llama/attention.py:435 in forward, code: attn_mask = self.mask[input_pos] 2025-06-05T23:26:40.6236124Z aten_index_tensor_8: "f32[1, 128]" = executorch_exir_dialects_edge__ops_aten_index_Tensor(quantized_decomposed_dequantize_per_tensor_default_131, [attn_options_input_pos]); quantized_decomposed_dequantize_per_tensor_default_131 = None 2025-06-05T23:26:40.6237016Z quantized_decomposed_quantize_per_tensor_default_1015: "i32[1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_tensor_8, 0.0038910505827516317, 65535, 0, 65535, torch.int32); aten_index_tensor_8 = None 2025-06-05T23:26:40.6237092Z 2025-06-05T23:26:40.6237570Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:325 in forward, code: attn_weight += attn_mask 2025-06-05T23:26:40.6238796Z quantized_decomposed_dequantize_per_tensor_default_1445: "f32[1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1015, 0.0038910505827516317, 65535, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1015 = None 2025-06-05T23:26:40.6238872Z 2025-06-05T23:26:40.6239548Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:510 in update, code: k_out = torch.ops.aten.index_put_(self.past_k_caches, [None, input_pos], k_val) 2025-06-05T23:26:40.6240882Z aten_index_put_default_12: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(quantized_decomposed_dequantize_per_tensor_default_132, [None, attn_options_input_pos], quantized_decomposed_dequantize_per_tensor_default_1443); quantized_decomposed_dequantize_per_tensor_default_132 = quantized_decomposed_dequantize_per_tensor_default_1443 = None 2025-06-05T23:26:40.6241832Z quantized_decomposed_quantize_per_tensor_default_1016: "i32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_put_default_12, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_index_put_default_12 = None 2025-06-05T23:26:40.6241921Z 2025-06-05T23:26:40.6242720Z # File: .74:3681 in forward, code: dequantize_per_tensor_default_1171 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1171, 0.000468338665086776, 33988, 0, 65535, torch.int32) 2025-06-05T23:26:40.6243662Z quantized_decomposed_dequantize_per_tensor_default_1446: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1016, 0.000468338665086776, 33988, 0, 65535, torch.int32) 2025-06-05T23:26:40.6243751Z 2025-06-05T23:26:40.6244394Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.6245334Z quantized_decomposed_dequantize_per_tensor_default_1447: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1016, 0.000468338665086776, 33988, 0, 65535, torch.int32) 2025-06-05T23:26:40.6246300Z quantized_decomposed_dequantize_per_tensor_default_1448: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1016, 0.000468338665086776, 33988, 0, 65535, torch.int32) 2025-06-05T23:26:40.6247229Z quantized_decomposed_dequantize_per_tensor_default_1449: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1016, 0.000468338665086776, 33988, 0, 65535, torch.int32) 2025-06-05T23:26:40.6248173Z quantized_decomposed_dequantize_per_tensor_default_1450: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1016, 0.000468338665086776, 33988, 0, 65535, torch.int32) 2025-06-05T23:26:40.6249101Z quantized_decomposed_dequantize_per_tensor_default_1451: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1016, 0.000468338665086776, 33988, 0, 65535, torch.int32) 2025-06-05T23:26:40.6250034Z quantized_decomposed_dequantize_per_tensor_default_1452: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1016, 0.000468338665086776, 33988, 0, 65535, torch.int32) 2025-06-05T23:26:40.6251028Z quantized_decomposed_dequantize_per_tensor_default_1453: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1016, 0.000468338665086776, 33988, 0, 65535, torch.int32) 2025-06-05T23:26:40.6251961Z quantized_decomposed_dequantize_per_tensor_default_1454: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1016, 0.000468338665086776, 33988, 0, 65535, torch.int32) 2025-06-05T23:26:40.6252903Z quantized_decomposed_dequantize_per_tensor_default_1455: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1016, 0.000468338665086776, 33988, 0, 65535, torch.int32) 2025-06-05T23:26:40.6253869Z quantized_decomposed_dequantize_per_tensor_default_1456: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1016, 0.000468338665086776, 33988, 0, 65535, torch.int32) 2025-06-05T23:26:40.6254802Z quantized_decomposed_dequantize_per_tensor_default_1457: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1016, 0.000468338665086776, 33988, 0, 65535, torch.int32) 2025-06-05T23:26:40.6255989Z quantized_decomposed_dequantize_per_tensor_default_1458: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1016, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1016 = None 2025-06-05T23:26:40.6256066Z 2025-06-05T23:26:40.6256760Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:511 in update, code: v_out = torch.ops.aten.index_put_(self.past_v_caches, [None, input_pos], v_val) 2025-06-05T23:26:40.6258097Z aten_index_put_default_13: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(quantized_decomposed_dequantize_per_tensor_default_133, [None, attn_options_input_pos], quantized_decomposed_dequantize_per_tensor_default_1407); quantized_decomposed_dequantize_per_tensor_default_133 = quantized_decomposed_dequantize_per_tensor_default_1407 = None 2025-06-05T23:26:40.6259028Z quantized_decomposed_quantize_per_tensor_default_1017: "i32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_put_default_13, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_index_put_default_13 = None 2025-06-05T23:26:40.6259122Z 2025-06-05T23:26:40.6259925Z # File: .74:3696 in forward, code: dequantize_per_tensor_default_1172 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1172, 0.00011607543274294585, 32773, 0, 65535, torch.int32) 2025-06-05T23:26:40.6260864Z quantized_decomposed_dequantize_per_tensor_default_1459: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1017, 0.00011607543274294585, 32773, 0, 65535, torch.int32) 2025-06-05T23:26:40.6260953Z 2025-06-05T23:26:40.6261592Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.6262571Z quantized_decomposed_dequantize_per_tensor_default_1460: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1017, 0.00011607543274294585, 32773, 0, 65535, torch.int32) 2025-06-05T23:26:40.6263537Z quantized_decomposed_dequantize_per_tensor_default_1461: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1017, 0.00011607543274294585, 32773, 0, 65535, torch.int32) 2025-06-05T23:26:40.6264472Z quantized_decomposed_dequantize_per_tensor_default_1462: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1017, 0.00011607543274294585, 32773, 0, 65535, torch.int32) 2025-06-05T23:26:40.6265419Z quantized_decomposed_dequantize_per_tensor_default_1463: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1017, 0.00011607543274294585, 32773, 0, 65535, torch.int32) 2025-06-05T23:26:40.6266379Z quantized_decomposed_dequantize_per_tensor_default_1464: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1017, 0.00011607543274294585, 32773, 0, 65535, torch.int32) 2025-06-05T23:26:40.6267326Z quantized_decomposed_dequantize_per_tensor_default_1465: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1017, 0.00011607543274294585, 32773, 0, 65535, torch.int32) 2025-06-05T23:26:40.6268255Z quantized_decomposed_dequantize_per_tensor_default_1466: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1017, 0.00011607543274294585, 32773, 0, 65535, torch.int32) 2025-06-05T23:26:40.6269201Z quantized_decomposed_dequantize_per_tensor_default_1467: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1017, 0.00011607543274294585, 32773, 0, 65535, torch.int32) 2025-06-05T23:26:40.6270174Z quantized_decomposed_dequantize_per_tensor_default_1468: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1017, 0.00011607543274294585, 32773, 0, 65535, torch.int32) 2025-06-05T23:26:40.6271180Z quantized_decomposed_dequantize_per_tensor_default_1469: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1017, 0.00011607543274294585, 32773, 0, 65535, torch.int32) 2025-06-05T23:26:40.6272140Z quantized_decomposed_dequantize_per_tensor_default_1470: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1017, 0.00011607543274294585, 32773, 0, 65535, torch.int32) 2025-06-05T23:26:40.6273544Z quantized_decomposed_dequantize_per_tensor_default_1471: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1017, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1017 = None 2025-06-05T23:26:40.6273625Z 2025-06-05T23:26:40.6274285Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.6275187Z aten_permute_copy_default_253: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1458, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1458 = None 2025-06-05T23:26:40.6276213Z quantized_decomposed_quantize_per_tensor_default_1018: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_253, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_permute_copy_default_253 = None 2025-06-05T23:26:40.6277396Z quantized_decomposed_dequantize_per_tensor_default_1472: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1018, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1018 = None 2025-06-05T23:26:40.6278147Z aten_select_copy_int_288: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1472, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1472 = None 2025-06-05T23:26:40.6279114Z quantized_decomposed_quantize_per_tensor_default_1019: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_288, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_select_copy_int_288 = None 2025-06-05T23:26:40.6280281Z quantized_decomposed_dequantize_per_tensor_default_1473: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1019, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1019 = None 2025-06-05T23:26:40.6281036Z aten_select_copy_int_289: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1473, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1473 = None 2025-06-05T23:26:40.6281948Z quantized_decomposed_quantize_per_tensor_default_1020: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_289, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_select_copy_int_289 = None 2025-06-05T23:26:40.6282026Z 2025-06-05T23:26:40.6283032Z # File: .74:3717 in forward, code: dequantize_per_tensor_default_1175 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1175, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantize_per_tensor_default_1175 = None 2025-06-05T23:26:40.6284194Z quantized_decomposed_dequantize_per_tensor_default_1474: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1020, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1020 = None 2025-06-05T23:26:40.6284277Z 2025-06-05T23:26:40.6284933Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.6285753Z aten_permute_copy_default_254: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1457, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1457 = None 2025-06-05T23:26:40.6286716Z quantized_decomposed_quantize_per_tensor_default_1021: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_254, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_permute_copy_default_254 = None 2025-06-05T23:26:40.6287905Z quantized_decomposed_dequantize_per_tensor_default_1475: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1021, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1021 = None 2025-06-05T23:26:40.6288678Z aten_select_copy_int_290: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1475, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1475 = None 2025-06-05T23:26:40.6289595Z quantized_decomposed_quantize_per_tensor_default_1022: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_290, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_select_copy_int_290 = None 2025-06-05T23:26:40.6290761Z quantized_decomposed_dequantize_per_tensor_default_1476: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1022, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1022 = None 2025-06-05T23:26:40.6291547Z aten_select_copy_int_291: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1476, 0, 1); quantized_decomposed_dequantize_per_tensor_default_1476 = None 2025-06-05T23:26:40.6292440Z quantized_decomposed_quantize_per_tensor_default_1023: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_291, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_select_copy_int_291 = None 2025-06-05T23:26:40.6292515Z 2025-06-05T23:26:40.6293473Z # File: .74:3726 in forward, code: dequantize_per_tensor_default_1178 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1178, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantize_per_tensor_default_1178 = None 2025-06-05T23:26:40.6294632Z quantized_decomposed_dequantize_per_tensor_default_1477: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1023, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1023 = None 2025-06-05T23:26:40.6294720Z 2025-06-05T23:26:40.6295380Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.6296195Z aten_permute_copy_default_255: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1456, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1456 = None 2025-06-05T23:26:40.6297172Z quantized_decomposed_quantize_per_tensor_default_1024: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_255, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_permute_copy_default_255 = None 2025-06-05T23:26:40.6298339Z quantized_decomposed_dequantize_per_tensor_default_1478: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1024, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1024 = None 2025-06-05T23:26:40.6299087Z aten_select_copy_int_292: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1478, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1478 = None 2025-06-05T23:26:40.6300026Z quantized_decomposed_quantize_per_tensor_default_1025: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_292, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_select_copy_int_292 = None 2025-06-05T23:26:40.6301215Z quantized_decomposed_dequantize_per_tensor_default_1479: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1025, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1025 = None 2025-06-05T23:26:40.6301967Z aten_select_copy_int_293: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1479, 0, 2); quantized_decomposed_dequantize_per_tensor_default_1479 = None 2025-06-05T23:26:40.6302924Z quantized_decomposed_quantize_per_tensor_default_1026: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_293, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_select_copy_int_293 = None 2025-06-05T23:26:40.6303004Z 2025-06-05T23:26:40.6303971Z # File: .74:3735 in forward, code: dequantize_per_tensor_default_1181 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1181, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantize_per_tensor_default_1181 = None 2025-06-05T23:26:40.6305130Z quantized_decomposed_dequantize_per_tensor_default_1480: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1026, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1026 = None 2025-06-05T23:26:40.6305221Z 2025-06-05T23:26:40.6305858Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.6306666Z aten_permute_copy_default_256: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1455, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1455 = None 2025-06-05T23:26:40.6307655Z quantized_decomposed_quantize_per_tensor_default_1027: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_256, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_permute_copy_default_256 = None 2025-06-05T23:26:40.6308827Z quantized_decomposed_dequantize_per_tensor_default_1481: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1027, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1027 = None 2025-06-05T23:26:40.6309592Z aten_select_copy_int_294: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1481, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1481 = None 2025-06-05T23:26:40.6310500Z quantized_decomposed_quantize_per_tensor_default_1028: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_294, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_select_copy_int_294 = None 2025-06-05T23:26:40.6311733Z quantized_decomposed_dequantize_per_tensor_default_1482: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1028, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1028 = None 2025-06-05T23:26:40.6312548Z aten_select_copy_int_295: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1482, 0, 3); quantized_decomposed_dequantize_per_tensor_default_1482 = None 2025-06-05T23:26:40.6313452Z quantized_decomposed_quantize_per_tensor_default_1029: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_295, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_select_copy_int_295 = None 2025-06-05T23:26:40.6313542Z 2025-06-05T23:26:40.6314483Z # File: .74:3744 in forward, code: dequantize_per_tensor_default_1184 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1184, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantize_per_tensor_default_1184 = None 2025-06-05T23:26:40.6315663Z quantized_decomposed_dequantize_per_tensor_default_1483: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1029, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1029 = None 2025-06-05T23:26:40.6315755Z 2025-06-05T23:26:40.6316394Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.6317201Z aten_permute_copy_default_257: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1454, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1454 = None 2025-06-05T23:26:40.6318166Z quantized_decomposed_quantize_per_tensor_default_1030: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_257, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_permute_copy_default_257 = None 2025-06-05T23:26:40.6319362Z quantized_decomposed_dequantize_per_tensor_default_1484: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1030, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1030 = None 2025-06-05T23:26:40.6320122Z aten_select_copy_int_296: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1484, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1484 = None 2025-06-05T23:26:40.6321031Z quantized_decomposed_quantize_per_tensor_default_1031: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_296, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_select_copy_int_296 = None 2025-06-05T23:26:40.6322200Z quantized_decomposed_dequantize_per_tensor_default_1485: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1031, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1031 = None 2025-06-05T23:26:40.6322956Z aten_select_copy_int_297: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1485, 0, 4); quantized_decomposed_dequantize_per_tensor_default_1485 = None 2025-06-05T23:26:40.6323861Z quantized_decomposed_quantize_per_tensor_default_1032: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_297, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_select_copy_int_297 = None 2025-06-05T23:26:40.6324020Z 2025-06-05T23:26:40.6324966Z # File: .74:3753 in forward, code: dequantize_per_tensor_default_1187 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1187, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantize_per_tensor_default_1187 = None 2025-06-05T23:26:40.6326127Z quantized_decomposed_dequantize_per_tensor_default_1486: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1032, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1032 = None 2025-06-05T23:26:40.6326215Z 2025-06-05T23:26:40.6326855Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.6327692Z aten_permute_copy_default_258: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1453, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1453 = None 2025-06-05T23:26:40.6328660Z quantized_decomposed_quantize_per_tensor_default_1033: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_258, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_permute_copy_default_258 = None 2025-06-05T23:26:40.6329826Z quantized_decomposed_dequantize_per_tensor_default_1487: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1033, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1033 = None 2025-06-05T23:26:40.6330591Z aten_select_copy_int_298: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1487, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1487 = None 2025-06-05T23:26:40.6331529Z quantized_decomposed_quantize_per_tensor_default_1034: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_298, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_select_copy_int_298 = None 2025-06-05T23:26:40.6332692Z quantized_decomposed_dequantize_per_tensor_default_1488: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1034, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1034 = None 2025-06-05T23:26:40.6333450Z aten_select_copy_int_299: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1488, 0, 5); quantized_decomposed_dequantize_per_tensor_default_1488 = None 2025-06-05T23:26:40.6334353Z quantized_decomposed_quantize_per_tensor_default_1035: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_299, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_select_copy_int_299 = None 2025-06-05T23:26:40.6334443Z 2025-06-05T23:26:40.6335388Z # File: .74:3762 in forward, code: dequantize_per_tensor_default_1190 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1190, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantize_per_tensor_default_1190 = None 2025-06-05T23:26:40.6336581Z quantized_decomposed_dequantize_per_tensor_default_1489: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1035, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1035 = None 2025-06-05T23:26:40.6336697Z 2025-06-05T23:26:40.6337338Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.6338153Z aten_permute_copy_default_259: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1452, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1452 = None 2025-06-05T23:26:40.6339116Z quantized_decomposed_quantize_per_tensor_default_1036: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_259, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_permute_copy_default_259 = None 2025-06-05T23:26:40.6340315Z quantized_decomposed_dequantize_per_tensor_default_1490: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1036, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1036 = None 2025-06-05T23:26:40.6341075Z aten_select_copy_int_300: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1490, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1490 = None 2025-06-05T23:26:40.6341975Z quantized_decomposed_quantize_per_tensor_default_1037: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_300, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_select_copy_int_300 = None 2025-06-05T23:26:40.6343158Z quantized_decomposed_dequantize_per_tensor_default_1491: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1037, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1037 = None 2025-06-05T23:26:40.6343916Z aten_select_copy_int_301: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1491, 0, 6); quantized_decomposed_dequantize_per_tensor_default_1491 = None 2025-06-05T23:26:40.6344810Z quantized_decomposed_quantize_per_tensor_default_1038: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_301, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_select_copy_int_301 = None 2025-06-05T23:26:40.6344899Z 2025-06-05T23:26:40.6345861Z # File: .74:3771 in forward, code: dequantize_per_tensor_default_1193 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1193, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantize_per_tensor_default_1193 = None 2025-06-05T23:26:40.6347026Z quantized_decomposed_dequantize_per_tensor_default_1492: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1038, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1038 = None 2025-06-05T23:26:40.6347115Z 2025-06-05T23:26:40.6347757Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.6348600Z aten_permute_copy_default_260: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1451, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1451 = None 2025-06-05T23:26:40.6349575Z quantized_decomposed_quantize_per_tensor_default_1039: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_260, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_permute_copy_default_260 = None 2025-06-05T23:26:40.6350743Z quantized_decomposed_dequantize_per_tensor_default_1493: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1039, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1039 = None 2025-06-05T23:26:40.6351623Z aten_select_copy_int_302: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1493, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1493 = None 2025-06-05T23:26:40.6352529Z quantized_decomposed_quantize_per_tensor_default_1040: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_302, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_select_copy_int_302 = None 2025-06-05T23:26:40.6353712Z quantized_decomposed_dequantize_per_tensor_default_1494: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1040, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1040 = None 2025-06-05T23:26:40.6354453Z aten_select_copy_int_303: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1494, 0, 7); quantized_decomposed_dequantize_per_tensor_default_1494 = None 2025-06-05T23:26:40.6355364Z quantized_decomposed_quantize_per_tensor_default_1041: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_303, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_select_copy_int_303 = None 2025-06-05T23:26:40.6355457Z 2025-06-05T23:26:40.6356444Z # File: .74:3780 in forward, code: dequantize_per_tensor_default_1196 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1196, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantize_per_tensor_default_1196 = None 2025-06-05T23:26:40.6357626Z quantized_decomposed_dequantize_per_tensor_default_1495: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1041, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1041 = None 2025-06-05T23:26:40.6357710Z 2025-06-05T23:26:40.6358349Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.6359180Z aten_permute_copy_default_261: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1450, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1450 = None 2025-06-05T23:26:40.6360133Z quantized_decomposed_quantize_per_tensor_default_1042: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_261, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_permute_copy_default_261 = None 2025-06-05T23:26:40.6361320Z quantized_decomposed_dequantize_per_tensor_default_1496: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1042, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1042 = None 2025-06-05T23:26:40.6362106Z aten_select_copy_int_304: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1496, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1496 = None 2025-06-05T23:26:40.6363017Z quantized_decomposed_quantize_per_tensor_default_1043: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_304, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_select_copy_int_304 = None 2025-06-05T23:26:40.6364231Z quantized_decomposed_dequantize_per_tensor_default_1497: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1043, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1043 = None 2025-06-05T23:26:40.6364979Z aten_select_copy_int_305: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1497, 0, 8); quantized_decomposed_dequantize_per_tensor_default_1497 = None 2025-06-05T23:26:40.6365883Z quantized_decomposed_quantize_per_tensor_default_1044: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_305, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_select_copy_int_305 = None 2025-06-05T23:26:40.6365976Z 2025-06-05T23:26:40.6366925Z # File: .74:3789 in forward, code: dequantize_per_tensor_default_1199 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1199, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantize_per_tensor_default_1199 = None 2025-06-05T23:26:40.6368140Z quantized_decomposed_dequantize_per_tensor_default_1498: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1044, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1044 = None 2025-06-05T23:26:40.6368218Z 2025-06-05T23:26:40.6368857Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.6369685Z aten_permute_copy_default_262: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1449, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1449 = None 2025-06-05T23:26:40.6370652Z quantized_decomposed_quantize_per_tensor_default_1045: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_262, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_permute_copy_default_262 = None 2025-06-05T23:26:40.6371827Z quantized_decomposed_dequantize_per_tensor_default_1499: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1045, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1045 = None 2025-06-05T23:26:40.6372571Z aten_select_copy_int_306: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1499, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1499 = None 2025-06-05T23:26:40.6373820Z quantized_decomposed_quantize_per_tensor_default_1046: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_306, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_select_copy_int_306 = None 2025-06-05T23:26:40.6375003Z quantized_decomposed_dequantize_per_tensor_default_1500: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1046, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1046 = None 2025-06-05T23:26:40.6375745Z aten_select_copy_int_307: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1500, 0, 9); quantized_decomposed_dequantize_per_tensor_default_1500 = None 2025-06-05T23:26:40.6376696Z quantized_decomposed_quantize_per_tensor_default_1047: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_307, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_select_copy_int_307 = None 2025-06-05T23:26:40.6376777Z 2025-06-05T23:26:40.6377720Z # File: .74:3798 in forward, code: dequantize_per_tensor_default_1202 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1202, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantize_per_tensor_default_1202 = None 2025-06-05T23:26:40.6378897Z quantized_decomposed_dequantize_per_tensor_default_1501: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1047, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1047 = None 2025-06-05T23:26:40.6378980Z 2025-06-05T23:26:40.6379623Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.6380483Z aten_permute_copy_default_263: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1448, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1448 = None 2025-06-05T23:26:40.6381434Z quantized_decomposed_quantize_per_tensor_default_1048: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_263, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_permute_copy_default_263 = None 2025-06-05T23:26:40.6382618Z quantized_decomposed_dequantize_per_tensor_default_1502: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1048, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1048 = None 2025-06-05T23:26:40.6383373Z aten_select_copy_int_308: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1502, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1502 = None 2025-06-05T23:26:40.6384274Z quantized_decomposed_quantize_per_tensor_default_1049: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_308, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_select_copy_int_308 = None 2025-06-05T23:26:40.6385471Z quantized_decomposed_dequantize_per_tensor_default_1503: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1049, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1049 = None 2025-06-05T23:26:40.6386251Z aten_select_copy_int_309: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1503, 0, 10); quantized_decomposed_dequantize_per_tensor_default_1503 = None 2025-06-05T23:26:40.6387168Z quantized_decomposed_quantize_per_tensor_default_1050: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_309, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_select_copy_int_309 = None 2025-06-05T23:26:40.6387245Z 2025-06-05T23:26:40.6388190Z # File: .74:3807 in forward, code: dequantize_per_tensor_default_1205 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1205, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantize_per_tensor_default_1205 = None 2025-06-05T23:26:40.6389389Z quantized_decomposed_dequantize_per_tensor_default_1504: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1050, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1050 = None 2025-06-05T23:26:40.6389466Z 2025-06-05T23:26:40.6390106Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.6390997Z aten_permute_copy_default_264: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1447, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1447 = None 2025-06-05T23:26:40.6391957Z quantized_decomposed_quantize_per_tensor_default_1051: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_264, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_permute_copy_default_264 = None 2025-06-05T23:26:40.6393168Z quantized_decomposed_dequantize_per_tensor_default_1505: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1051, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1051 = None 2025-06-05T23:26:40.6393916Z aten_select_copy_int_310: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1505, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1505 = None 2025-06-05T23:26:40.6394821Z quantized_decomposed_quantize_per_tensor_default_1052: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_310, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_select_copy_int_310 = None 2025-06-05T23:26:40.6396005Z quantized_decomposed_dequantize_per_tensor_default_1506: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1052, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1052 = None 2025-06-05T23:26:40.6396743Z aten_select_copy_int_311: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1506, 0, 11); quantized_decomposed_dequantize_per_tensor_default_1506 = None 2025-06-05T23:26:40.6397685Z quantized_decomposed_quantize_per_tensor_default_1053: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_311, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_select_copy_int_311 = None 2025-06-05T23:26:40.6397790Z 2025-06-05T23:26:40.6398734Z # File: .74:3816 in forward, code: dequantize_per_tensor_default_1208 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1208, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantize_per_tensor_default_1208 = None 2025-06-05T23:26:40.6399906Z quantized_decomposed_dequantize_per_tensor_default_1507: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1053, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1053 = None 2025-06-05T23:26:40.6400008Z 2025-06-05T23:26:40.6400651Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.6406360Z aten_cat_default_26: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([quantized_decomposed_dequantize_per_tensor_default_1474, quantized_decomposed_dequantize_per_tensor_default_1477, quantized_decomposed_dequantize_per_tensor_default_1480, quantized_decomposed_dequantize_per_tensor_default_1483, quantized_decomposed_dequantize_per_tensor_default_1486, quantized_decomposed_dequantize_per_tensor_default_1489, quantized_decomposed_dequantize_per_tensor_default_1492, quantized_decomposed_dequantize_per_tensor_default_1495, quantized_decomposed_dequantize_per_tensor_default_1498, quantized_decomposed_dequantize_per_tensor_default_1501, quantized_decomposed_dequantize_per_tensor_default_1504, quantized_decomposed_dequantize_per_tensor_default_1507]); quantized_decomposed_dequantize_per_tensor_default_1474 = quantized_decomposed_dequantize_per_tensor_default_1477 = quantized_decomposed_dequantize_per_tensor_default_1480 = quantized_decomposed_dequantize_per_tensor_default_1483 = quantized_decomposed_dequantize_per_tensor_default_1486 = quantized_decomposed_dequantize_per_tensor_default_1489 = quantized_decomposed_dequantize_per_tensor_default_1492 = quantized_decomposed_dequantize_per_tensor_default_1495 = quantized_decomposed_dequantize_per_tensor_default_1498 = quantized_decomposed_dequantize_per_tensor_default_1501 = quantized_decomposed_dequantize_per_tensor_default_1504 = quantized_decomposed_dequantize_per_tensor_default_1507 = None 2025-06-05T23:26:40.6407253Z quantized_decomposed_quantize_per_tensor_default_1054: "i32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_26, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_cat_default_26 = None 2025-06-05T23:26:40.6408422Z quantized_decomposed_dequantize_per_tensor_default_1508: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1054, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1054 = None 2025-06-05T23:26:40.6409231Z aten_view_copy_default_117: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1508, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_1508 = None 2025-06-05T23:26:40.6410165Z quantized_decomposed_quantize_per_tensor_default_1055: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_117, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_view_copy_default_117 = None 2025-06-05T23:26:40.6410246Z 2025-06-05T23:26:40.6410840Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:324 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-06-05T23:26:40.6412058Z quantized_decomposed_dequantize_per_tensor_default_1509: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1055, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1055 = None 2025-06-05T23:26:40.6412150Z 2025-06-05T23:26:40.6412790Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.6413600Z aten_permute_copy_default_265: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1471, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1471 = None 2025-06-05T23:26:40.6414611Z quantized_decomposed_quantize_per_tensor_default_1056: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_265, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_permute_copy_default_265 = None 2025-06-05T23:26:40.6415784Z quantized_decomposed_dequantize_per_tensor_default_1510: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1056, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1056 = None 2025-06-05T23:26:40.6416529Z aten_select_copy_int_312: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1510, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1510 = None 2025-06-05T23:26:40.6417451Z quantized_decomposed_quantize_per_tensor_default_1057: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_312, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_select_copy_int_312 = None 2025-06-05T23:26:40.6418649Z quantized_decomposed_dequantize_per_tensor_default_1511: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1057, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1057 = None 2025-06-05T23:26:40.6419409Z aten_select_copy_int_313: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1511, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1511 = None 2025-06-05T23:26:40.6420317Z quantized_decomposed_quantize_per_tensor_default_1058: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_313, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_select_copy_int_313 = None 2025-06-05T23:26:40.6420395Z 2025-06-05T23:26:40.6421369Z # File: .74:3831 in forward, code: dequantize_per_tensor_default_1213 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1213, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantize_per_tensor_default_1213 = None 2025-06-05T23:26:40.6422541Z quantized_decomposed_dequantize_per_tensor_default_1512: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1058, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1058 = None 2025-06-05T23:26:40.6422632Z 2025-06-05T23:26:40.6423318Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.6424154Z aten_permute_copy_default_266: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1470, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1470 = None 2025-06-05T23:26:40.6425126Z quantized_decomposed_quantize_per_tensor_default_1059: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_266, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_permute_copy_default_266 = None 2025-06-05T23:26:40.6426301Z quantized_decomposed_dequantize_per_tensor_default_1513: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1059, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1059 = None 2025-06-05T23:26:40.6427086Z aten_select_copy_int_314: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1513, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1513 = None 2025-06-05T23:26:40.6427997Z quantized_decomposed_quantize_per_tensor_default_1060: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_314, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_select_copy_int_314 = None 2025-06-05T23:26:40.6429170Z quantized_decomposed_dequantize_per_tensor_default_1514: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1060, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1060 = None 2025-06-05T23:26:40.6429940Z aten_select_copy_int_315: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1514, 0, 1); quantized_decomposed_dequantize_per_tensor_default_1514 = None 2025-06-05T23:26:40.6430940Z quantized_decomposed_quantize_per_tensor_default_1061: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_315, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_select_copy_int_315 = None 2025-06-05T23:26:40.6431036Z 2025-06-05T23:26:40.6431993Z # File: .74:3840 in forward, code: dequantize_per_tensor_default_1216 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1216, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantize_per_tensor_default_1216 = None 2025-06-05T23:26:40.6433164Z quantized_decomposed_dequantize_per_tensor_default_1515: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1061, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1061 = None 2025-06-05T23:26:40.6433256Z 2025-06-05T23:26:40.6433897Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.6434710Z aten_permute_copy_default_267: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1469, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1469 = None 2025-06-05T23:26:40.6435709Z quantized_decomposed_quantize_per_tensor_default_1062: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_267, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_permute_copy_default_267 = None 2025-06-05T23:26:40.6436920Z quantized_decomposed_dequantize_per_tensor_default_1516: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1062, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1062 = None 2025-06-05T23:26:40.6437685Z aten_select_copy_int_316: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1516, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1516 = None 2025-06-05T23:26:40.6438621Z quantized_decomposed_quantize_per_tensor_default_1063: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_316, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_select_copy_int_316 = None 2025-06-05T23:26:40.6439801Z quantized_decomposed_dequantize_per_tensor_default_1517: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1063, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1063 = None 2025-06-05T23:26:40.6440555Z aten_select_copy_int_317: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1517, 0, 2); quantized_decomposed_dequantize_per_tensor_default_1517 = None 2025-06-05T23:26:40.6441465Z quantized_decomposed_quantize_per_tensor_default_1064: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_317, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_select_copy_int_317 = None 2025-06-05T23:26:40.6441558Z 2025-06-05T23:26:40.6442511Z # File: .74:3849 in forward, code: dequantize_per_tensor_default_1219 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1219, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantize_per_tensor_default_1219 = None 2025-06-05T23:26:40.6443705Z quantized_decomposed_dequantize_per_tensor_default_1518: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1064, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1064 = None 2025-06-05T23:26:40.6443794Z 2025-06-05T23:26:40.6444439Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.6445253Z aten_permute_copy_default_268: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1468, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1468 = None 2025-06-05T23:26:40.6446228Z quantized_decomposed_quantize_per_tensor_default_1065: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_268, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_permute_copy_default_268 = None 2025-06-05T23:26:40.6447412Z quantized_decomposed_dequantize_per_tensor_default_1519: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1065, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1065 = None 2025-06-05T23:26:40.6448222Z aten_select_copy_int_318: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1519, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1519 = None 2025-06-05T23:26:40.6449141Z quantized_decomposed_quantize_per_tensor_default_1066: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_318, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_select_copy_int_318 = None 2025-06-05T23:26:40.6450325Z quantized_decomposed_dequantize_per_tensor_default_1520: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1066, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1066 = None 2025-06-05T23:26:40.6451104Z aten_select_copy_int_319: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1520, 0, 3); quantized_decomposed_dequantize_per_tensor_default_1520 = None 2025-06-05T23:26:40.6452010Z quantized_decomposed_quantize_per_tensor_default_1067: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_319, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_select_copy_int_319 = None 2025-06-05T23:26:40.6452098Z 2025-06-05T23:26:40.6453049Z # File: .74:3858 in forward, code: dequantize_per_tensor_default_1222 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1222, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantize_per_tensor_default_1222 = None 2025-06-05T23:26:40.6454229Z quantized_decomposed_dequantize_per_tensor_default_1521: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1067, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1067 = None 2025-06-05T23:26:40.6454319Z 2025-06-05T23:26:40.6454981Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.6455807Z aten_permute_copy_default_269: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1467, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1467 = None 2025-06-05T23:26:40.6456761Z quantized_decomposed_quantize_per_tensor_default_1068: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_269, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_permute_copy_default_269 = None 2025-06-05T23:26:40.6457936Z quantized_decomposed_dequantize_per_tensor_default_1522: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1068, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1068 = None 2025-06-05T23:26:40.6458695Z aten_select_copy_int_320: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1522, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1522 = None 2025-06-05T23:26:40.6459605Z quantized_decomposed_quantize_per_tensor_default_1069: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_320, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_select_copy_int_320 = None 2025-06-05T23:26:40.6460847Z quantized_decomposed_dequantize_per_tensor_default_1523: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1069, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1069 = None 2025-06-05T23:26:40.6461589Z aten_select_copy_int_321: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1523, 0, 4); quantized_decomposed_dequantize_per_tensor_default_1523 = None 2025-06-05T23:26:40.6462497Z quantized_decomposed_quantize_per_tensor_default_1070: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_321, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_select_copy_int_321 = None 2025-06-05T23:26:40.6462610Z 2025-06-05T23:26:40.6463569Z # File: .74:3867 in forward, code: dequantize_per_tensor_default_1225 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1225, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantize_per_tensor_default_1225 = None 2025-06-05T23:26:40.6464754Z quantized_decomposed_dequantize_per_tensor_default_1524: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1070, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1070 = None 2025-06-05T23:26:40.6464829Z 2025-06-05T23:26:40.6465467Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.6466297Z aten_permute_copy_default_270: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1466, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1466 = None 2025-06-05T23:26:40.6467284Z quantized_decomposed_quantize_per_tensor_default_1071: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_270, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_permute_copy_default_270 = None 2025-06-05T23:26:40.6468455Z quantized_decomposed_dequantize_per_tensor_default_1525: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1071, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1071 = None 2025-06-05T23:26:40.6469214Z aten_select_copy_int_322: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1525, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1525 = None 2025-06-05T23:26:40.6470124Z quantized_decomposed_quantize_per_tensor_default_1072: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_322, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_select_copy_int_322 = None 2025-06-05T23:26:40.6471374Z quantized_decomposed_dequantize_per_tensor_default_1526: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1072, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1072 = None 2025-06-05T23:26:40.6472148Z aten_select_copy_int_323: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1526, 0, 5); quantized_decomposed_dequantize_per_tensor_default_1526 = None 2025-06-05T23:26:40.6473296Z quantized_decomposed_quantize_per_tensor_default_1073: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_323, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_select_copy_int_323 = None 2025-06-05T23:26:40.6473387Z 2025-06-05T23:26:40.6474346Z # File: .74:3876 in forward, code: dequantize_per_tensor_default_1228 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1228, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantize_per_tensor_default_1228 = None 2025-06-05T23:26:40.6475533Z quantized_decomposed_dequantize_per_tensor_default_1527: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1073, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1073 = None 2025-06-05T23:26:40.6475679Z 2025-06-05T23:26:40.6476322Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.6477149Z aten_permute_copy_default_271: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1465, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1465 = None 2025-06-05T23:26:40.6478108Z quantized_decomposed_quantize_per_tensor_default_1074: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_271, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_permute_copy_default_271 = None 2025-06-05T23:26:40.6479288Z quantized_decomposed_dequantize_per_tensor_default_1528: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1074, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1074 = None 2025-06-05T23:26:40.6480080Z aten_select_copy_int_324: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1528, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1528 = None 2025-06-05T23:26:40.6480995Z quantized_decomposed_quantize_per_tensor_default_1075: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_324, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_select_copy_int_324 = None 2025-06-05T23:26:40.6482182Z quantized_decomposed_dequantize_per_tensor_default_1529: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1075, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1075 = None 2025-06-05T23:26:40.6482922Z aten_select_copy_int_325: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1529, 0, 6); quantized_decomposed_dequantize_per_tensor_default_1529 = None 2025-06-05T23:26:40.6483840Z quantized_decomposed_quantize_per_tensor_default_1076: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_325, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_select_copy_int_325 = None 2025-06-05T23:26:40.6483917Z 2025-06-05T23:26:40.6484908Z # File: .74:3885 in forward, code: dequantize_per_tensor_default_1231 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1231, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantize_per_tensor_default_1231 = None 2025-06-05T23:26:40.6486121Z quantized_decomposed_dequantize_per_tensor_default_1530: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1076, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1076 = None 2025-06-05T23:26:40.6486199Z 2025-06-05T23:26:40.6486841Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.6487694Z aten_permute_copy_default_272: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1464, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1464 = None 2025-06-05T23:26:40.6488657Z quantized_decomposed_quantize_per_tensor_default_1077: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_272, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_permute_copy_default_272 = None 2025-06-05T23:26:40.6489849Z quantized_decomposed_dequantize_per_tensor_default_1531: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1077, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1077 = None 2025-06-05T23:26:40.6490603Z aten_select_copy_int_326: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1531, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1531 = None 2025-06-05T23:26:40.6491506Z quantized_decomposed_quantize_per_tensor_default_1078: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_326, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_select_copy_int_326 = None 2025-06-05T23:26:40.6492738Z quantized_decomposed_dequantize_per_tensor_default_1532: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1078, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1078 = None 2025-06-05T23:26:40.6493478Z aten_select_copy_int_327: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1532, 0, 7); quantized_decomposed_dequantize_per_tensor_default_1532 = None 2025-06-05T23:26:40.6494398Z quantized_decomposed_quantize_per_tensor_default_1079: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_327, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_select_copy_int_327 = None 2025-06-05T23:26:40.6494474Z 2025-06-05T23:26:40.6495431Z # File: .74:3894 in forward, code: dequantize_per_tensor_default_1234 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1234, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantize_per_tensor_default_1234 = None 2025-06-05T23:26:40.6496621Z quantized_decomposed_dequantize_per_tensor_default_1533: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1079, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1079 = None 2025-06-05T23:26:40.6496778Z 2025-06-05T23:26:40.6497423Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.6498244Z aten_permute_copy_default_273: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1463, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1463 = None 2025-06-05T23:26:40.6499202Z quantized_decomposed_quantize_per_tensor_default_1080: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_273, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_permute_copy_default_273 = None 2025-06-05T23:26:40.6500414Z quantized_decomposed_dequantize_per_tensor_default_1534: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1080, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1080 = None 2025-06-05T23:26:40.6501161Z aten_select_copy_int_328: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1534, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1534 = None 2025-06-05T23:26:40.6502071Z quantized_decomposed_quantize_per_tensor_default_1081: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_328, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_select_copy_int_328 = None 2025-06-05T23:26:40.6503266Z quantized_decomposed_dequantize_per_tensor_default_1535: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1081, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1081 = None 2025-06-05T23:26:40.6504029Z aten_select_copy_int_329: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1535, 0, 8); quantized_decomposed_dequantize_per_tensor_default_1535 = None 2025-06-05T23:26:40.6504943Z quantized_decomposed_quantize_per_tensor_default_1082: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_329, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_select_copy_int_329 = None 2025-06-05T23:26:40.6505020Z 2025-06-05T23:26:40.6505991Z # File: .74:3903 in forward, code: dequantize_per_tensor_default_1237 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1237, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantize_per_tensor_default_1237 = None 2025-06-05T23:26:40.6507180Z quantized_decomposed_dequantize_per_tensor_default_1536: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1082, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1082 = None 2025-06-05T23:26:40.6507258Z 2025-06-05T23:26:40.6507900Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.6508722Z aten_permute_copy_default_274: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1462, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1462 = None 2025-06-05T23:26:40.6509740Z quantized_decomposed_quantize_per_tensor_default_1083: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_274, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_permute_copy_default_274 = None 2025-06-05T23:26:40.6511016Z quantized_decomposed_dequantize_per_tensor_default_1537: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1083, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1083 = None 2025-06-05T23:26:40.6511766Z aten_select_copy_int_330: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1537, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1537 = None 2025-06-05T23:26:40.6512734Z quantized_decomposed_quantize_per_tensor_default_1084: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_330, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_select_copy_int_330 = None 2025-06-05T23:26:40.6513913Z quantized_decomposed_dequantize_per_tensor_default_1538: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1084, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1084 = None 2025-06-05T23:26:40.6514664Z aten_select_copy_int_331: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1538, 0, 9); quantized_decomposed_dequantize_per_tensor_default_1538 = None 2025-06-05T23:26:40.6515588Z quantized_decomposed_quantize_per_tensor_default_1085: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_331, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_select_copy_int_331 = None 2025-06-05T23:26:40.6515669Z 2025-06-05T23:26:40.6516655Z # File: .74:3912 in forward, code: dequantize_per_tensor_default_1240 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1240, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantize_per_tensor_default_1240 = None 2025-06-05T23:26:40.6517846Z quantized_decomposed_dequantize_per_tensor_default_1539: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1085, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1085 = None 2025-06-05T23:26:40.6517928Z 2025-06-05T23:26:40.6518588Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.6519406Z aten_permute_copy_default_275: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1461, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1461 = None 2025-06-05T23:26:40.6520362Z quantized_decomposed_quantize_per_tensor_default_1086: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_275, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_permute_copy_default_275 = None 2025-06-05T23:26:40.6521579Z quantized_decomposed_dequantize_per_tensor_default_1540: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1086, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1086 = None 2025-06-05T23:26:40.6522352Z aten_select_copy_int_332: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1540, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1540 = None 2025-06-05T23:26:40.6523276Z quantized_decomposed_quantize_per_tensor_default_1087: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_332, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_select_copy_int_332 = None 2025-06-05T23:26:40.6524570Z quantized_decomposed_dequantize_per_tensor_default_1541: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1087, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1087 = None 2025-06-05T23:26:40.6525349Z aten_select_copy_int_333: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1541, 0, 10); quantized_decomposed_dequantize_per_tensor_default_1541 = None 2025-06-05T23:26:40.6526270Z quantized_decomposed_quantize_per_tensor_default_1088: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_333, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_select_copy_int_333 = None 2025-06-05T23:26:40.6526348Z 2025-06-05T23:26:40.6527328Z # File: .74:3921 in forward, code: dequantize_per_tensor_default_1243 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1243, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantize_per_tensor_default_1243 = None 2025-06-05T23:26:40.6528504Z quantized_decomposed_dequantize_per_tensor_default_1542: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1088, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1088 = None 2025-06-05T23:26:40.6528582Z 2025-06-05T23:26:40.6529256Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.6530069Z aten_permute_copy_default_276: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1460, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1460 = None 2025-06-05T23:26:40.6531035Z quantized_decomposed_quantize_per_tensor_default_1089: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_276, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_permute_copy_default_276 = None 2025-06-05T23:26:40.6532231Z quantized_decomposed_dequantize_per_tensor_default_1543: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1089, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1089 = None 2025-06-05T23:26:40.6532976Z aten_select_copy_int_334: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1543, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1543 = None 2025-06-05T23:26:40.6533924Z quantized_decomposed_quantize_per_tensor_default_1090: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_334, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_select_copy_int_334 = None 2025-06-05T23:26:40.6535258Z quantized_decomposed_dequantize_per_tensor_default_1544: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1090, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1090 = None 2025-06-05T23:26:40.6536076Z aten_select_copy_int_335: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1544, 0, 11); quantized_decomposed_dequantize_per_tensor_default_1544 = None 2025-06-05T23:26:40.6537022Z quantized_decomposed_quantize_per_tensor_default_1091: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_335, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_select_copy_int_335 = None 2025-06-05T23:26:40.6537101Z 2025-06-05T23:26:40.6538072Z # File: .74:3930 in forward, code: dequantize_per_tensor_default_1246 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1246, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantize_per_tensor_default_1246 = None 2025-06-05T23:26:40.6539244Z quantized_decomposed_dequantize_per_tensor_default_1545: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1091, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1091 = None 2025-06-05T23:26:40.6539322Z 2025-06-05T23:26:40.6539976Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.6545646Z aten_cat_default_27: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([quantized_decomposed_dequantize_per_tensor_default_1512, quantized_decomposed_dequantize_per_tensor_default_1515, quantized_decomposed_dequantize_per_tensor_default_1518, quantized_decomposed_dequantize_per_tensor_default_1521, quantized_decomposed_dequantize_per_tensor_default_1524, quantized_decomposed_dequantize_per_tensor_default_1527, quantized_decomposed_dequantize_per_tensor_default_1530, quantized_decomposed_dequantize_per_tensor_default_1533, quantized_decomposed_dequantize_per_tensor_default_1536, quantized_decomposed_dequantize_per_tensor_default_1539, quantized_decomposed_dequantize_per_tensor_default_1542, quantized_decomposed_dequantize_per_tensor_default_1545]); quantized_decomposed_dequantize_per_tensor_default_1512 = quantized_decomposed_dequantize_per_tensor_default_1515 = quantized_decomposed_dequantize_per_tensor_default_1518 = quantized_decomposed_dequantize_per_tensor_default_1521 = quantized_decomposed_dequantize_per_tensor_default_1524 = quantized_decomposed_dequantize_per_tensor_default_1527 = quantized_decomposed_dequantize_per_tensor_default_1530 = quantized_decomposed_dequantize_per_tensor_default_1533 = quantized_decomposed_dequantize_per_tensor_default_1536 = quantized_decomposed_dequantize_per_tensor_default_1539 = quantized_decomposed_dequantize_per_tensor_default_1542 = quantized_decomposed_dequantize_per_tensor_default_1545 = None 2025-06-05T23:26:40.6546550Z quantized_decomposed_quantize_per_tensor_default_1092: "i32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_27, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_cat_default_27 = None 2025-06-05T23:26:40.6547747Z quantized_decomposed_dequantize_per_tensor_default_1546: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1092, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1092 = None 2025-06-05T23:26:40.6548576Z aten_view_copy_default_118: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1546, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_1546 = None 2025-06-05T23:26:40.6549516Z quantized_decomposed_quantize_per_tensor_default_1093: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_118, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_view_copy_default_118 = None 2025-06-05T23:26:40.6549628Z 2025-06-05T23:26:40.6550584Z # File: .74:3936 in forward, code: dequantize_per_tensor_default_1248 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1248, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantize_per_tensor_default_1248 = None 2025-06-05T23:26:40.6551845Z quantized_decomposed_dequantize_per_tensor_default_1547: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1093, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1093 = None 2025-06-05T23:26:40.6551935Z 2025-06-05T23:26:40.6552895Z # File: .74:3937 in forward, code: quantize_per_tensor_default_1249 = torch.ops.quantized_decomposed.quantize_per_tensor.default(dequantize_per_tensor_default_1248, 0.00011609794455580413, 0, -32767, 32767, torch.int16); dequantize_per_tensor_default_1248 = None 2025-06-05T23:26:40.6554101Z quantized_decomposed_quantize_per_tensor_default_1094: "i16[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_1547, 0.00011609794455580413, 0, -32767, 32767, torch.int16); quantized_decomposed_dequantize_per_tensor_default_1547 = None 2025-06-05T23:26:40.6554176Z 2025-06-05T23:26:40.6554676Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:327 in forward, code: y = attn_weight @ v 2025-06-05T23:26:40.6555879Z quantized_decomposed_dequantize_per_tensor_default_1548: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1094, 0.00011609794455580413, 0, -32767, 32767, torch.int16); quantized_decomposed_quantize_per_tensor_default_1094 = None 2025-06-05T23:26:40.6555961Z 2025-06-05T23:26:40.6556541Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:324 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-06-05T23:26:40.6557372Z aten_permute_copy_default_277: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1509, [0, 1, 3, 2]); quantized_decomposed_dequantize_per_tensor_default_1509 = None 2025-06-05T23:26:40.6558326Z quantized_decomposed_quantize_per_tensor_default_1095: "i32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_277, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_permute_copy_default_277 = None 2025-06-05T23:26:40.6558402Z 2025-06-05T23:26:40.6559382Z # File: .74:3941 in forward, code: dequantize_per_tensor_default_1250 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1250, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantize_per_tensor_default_1250 = None 2025-06-05T23:26:40.6560576Z quantized_decomposed_dequantize_per_tensor_default_1549: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1095, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1095 = None 2025-06-05T23:26:40.6560666Z 2025-06-05T23:26:40.6561612Z # File: .74:3942 in forward, code: quantize_per_tensor_default_1251 = torch.ops.quantized_decomposed.quantize_per_tensor.default(dequantize_per_tensor_default_1250, 0.0004857908934354782, 0, -32767, 32767, torch.int16); dequantize_per_tensor_default_1250 = None 2025-06-05T23:26:40.6562793Z quantized_decomposed_quantize_per_tensor_default_1096: "i16[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_1549, 0.0004857908934354782, 0, -32767, 32767, torch.int16); quantized_decomposed_dequantize_per_tensor_default_1549 = None 2025-06-05T23:26:40.6562910Z 2025-06-05T23:26:40.6563489Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:324 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-06-05T23:26:40.6564670Z quantized_decomposed_dequantize_per_tensor_default_1550: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1096, 0.0004857908934354782, 0, -32767, 32767, torch.int16); quantized_decomposed_quantize_per_tensor_default_1096 = None 2025-06-05T23:26:40.6565478Z aten_expand_copy_default_24: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_1444, [1, 12, 1, 64]); quantized_decomposed_dequantize_per_tensor_default_1444 = None 2025-06-05T23:26:40.6566036Z aten_view_copy_default_119: "f32[12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_24, [12, 1, 64]); aten_expand_copy_default_24 = None 2025-06-05T23:26:40.6566873Z aten_expand_copy_default_25: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_1550, [1, 12, 64, 128]); quantized_decomposed_dequantize_per_tensor_default_1550 = None 2025-06-05T23:26:40.6567441Z aten_view_copy_default_120: "f32[12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_25, [12, 64, 128]); aten_expand_copy_default_25 = None 2025-06-05T23:26:40.6568101Z aten_bmm_default_12: "f32[12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_119, aten_view_copy_default_120); aten_view_copy_default_119 = aten_view_copy_default_120 = None 2025-06-05T23:26:40.6568636Z aten_view_copy_default_121: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_12, [1, 12, 1, 128]); aten_bmm_default_12 = None 2025-06-05T23:26:40.6569555Z quantized_decomposed_quantize_per_tensor_default_1097: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_121, 0.004839103203266859, 45381, 0, 65535, torch.int32); aten_view_copy_default_121 = None 2025-06-05T23:26:40.6570731Z quantized_decomposed_dequantize_per_tensor_default_1551: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1097, 0.004839103203266859, 45381, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1097 = None 2025-06-05T23:26:40.6571619Z quantized_decomposed_dequantize_per_tensor_default_1552: "f32[]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(b__frozen_param155, 1.9073777366429567e-06, 0, 0, 65535, torch.int32); b__frozen_param155 = None 2025-06-05T23:26:40.6573009Z aten_mul_tensor_100: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1551, quantized_decomposed_dequantize_per_tensor_default_1552); quantized_decomposed_dequantize_per_tensor_default_1551 = quantized_decomposed_dequantize_per_tensor_default_1552 = None 2025-06-05T23:26:40.6573897Z quantized_decomposed_quantize_per_tensor_default_1098: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_100, 0.0006048879004083574, 45381, 0, 65535, torch.int32); aten_mul_tensor_100 = None 2025-06-05T23:26:40.6574058Z 2025-06-05T23:26:40.6574546Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:325 in forward, code: attn_weight += attn_mask 2025-06-05T23:26:40.6575733Z quantized_decomposed_dequantize_per_tensor_default_1553: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1098, 0.0006048879004083574, 45381, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1098 = None 2025-06-05T23:26:40.6576888Z aten_add_tensor_32: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_1553, quantized_decomposed_dequantize_per_tensor_default_1445); quantized_decomposed_dequantize_per_tensor_default_1553 = quantized_decomposed_dequantize_per_tensor_default_1445 = None 2025-06-05T23:26:40.6577769Z quantized_decomposed_quantize_per_tensor_default_1099: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_32, 0.004426939878612757, 62781, 0, 65535, torch.int32); aten_add_tensor_32 = None 2025-06-05T23:26:40.6577847Z 2025-06-05T23:26:40.6578415Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:326 in forward, code: attn_weight = torch.softmax(attn_weight, dim=-1) 2025-06-05T23:26:40.6579642Z quantized_decomposed_dequantize_per_tensor_default_1554: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1099, 0.004426939878612757, 62781, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1099 = None 2025-06-05T23:26:40.6580428Z aten__softmax_default_6: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten__softmax_default(quantized_decomposed_dequantize_per_tensor_default_1554, -1, False); quantized_decomposed_dequantize_per_tensor_default_1554 = None 2025-06-05T23:26:40.6581340Z quantized_decomposed_quantize_per_tensor_default_1100: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten__softmax_default_6, 1.5259021893143654e-05, 0, 0, 65535, torch.int32); aten__softmax_default_6 = None 2025-06-05T23:26:40.6581417Z 2025-06-05T23:26:40.6581877Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:327 in forward, code: y = attn_weight @ v 2025-06-05T23:26:40.6583044Z quantized_decomposed_dequantize_per_tensor_default_1555: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1100, 1.5259021893143654e-05, 0, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1100 = None 2025-06-05T23:26:40.6583890Z aten_expand_copy_default_26: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_1555, [1, 12, 1, 128]); quantized_decomposed_dequantize_per_tensor_default_1555 = None 2025-06-05T23:26:40.6584486Z aten_view_copy_default_122: "f32[12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_26, [12, 1, 128]); aten_expand_copy_default_26 = None 2025-06-05T23:26:40.6585303Z aten_expand_copy_default_27: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_1548, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_1548 = None 2025-06-05T23:26:40.6585871Z aten_view_copy_default_123: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_27, [12, 128, 64]); aten_expand_copy_default_27 = None 2025-06-05T23:26:40.6586561Z aten_bmm_default_13: "f32[12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_122, aten_view_copy_default_123); aten_view_copy_default_122 = aten_view_copy_default_123 = None 2025-06-05T23:26:40.6587070Z aten_view_copy_default_124: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_13, [1, 12, 1, 64]); aten_bmm_default_13 = None 2025-06-05T23:26:40.6587998Z quantized_decomposed_quantize_per_tensor_default_1101: "i32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_124, 8.035911014303565e-05, 31531, 0, 65535, torch.int32); aten_view_copy_default_124 = None 2025-06-05T23:26:40.6588090Z 2025-06-05T23:26:40.6588717Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:329 in forward, code: return y.transpose(1, 2).contiguous().view(bsz, seqlen, self.dim) 2025-06-05T23:26:40.6589888Z quantized_decomposed_dequantize_per_tensor_default_1556: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1101, 8.035911014303565e-05, 31531, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1101 = None 2025-06-05T23:26:40.6590733Z aten_permute_copy_default_278: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1556, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1556 = None 2025-06-05T23:26:40.6591744Z quantized_decomposed_quantize_per_tensor_default_1102: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_278, 8.035911014303565e-05, 31531, 0, 65535, torch.int32); aten_permute_copy_default_278 = None 2025-06-05T23:26:40.6592930Z quantized_decomposed_dequantize_per_tensor_default_1557: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1102, 8.035911014303565e-05, 31531, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1102 = None 2025-06-05T23:26:40.6593715Z aten_view_copy_default_125: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1557, [1, 1, 768]); quantized_decomposed_dequantize_per_tensor_default_1557 = None 2025-06-05T23:26:40.6594631Z quantized_decomposed_quantize_per_tensor_default_1103: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_125, 8.035911014303565e-05, 31531, 0, 65535, torch.int32); aten_view_copy_default_125 = None 2025-06-05T23:26:40.6594726Z 2025-06-05T23:26:40.6595249Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.6596491Z quantized_decomposed_dequantize_per_tensor_default_1558: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1103, 8.035911014303565e-05, 31531, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1103 = None 2025-06-05T23:26:40.6597309Z aten_unsqueeze_copy_default_73: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1558, -1); quantized_decomposed_dequantize_per_tensor_default_1558 = None 2025-06-05T23:26:40.6598265Z quantized_decomposed_quantize_per_tensor_default_1104: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_73, 8.035911014303565e-05, 31531, 0, 65535, torch.int32); aten_unsqueeze_copy_default_73 = None 2025-06-05T23:26:40.6598396Z 2025-06-05T23:26:40.6598802Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.6599967Z quantized_decomposed_dequantize_per_tensor_default_1559: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1104, 8.035911014303565e-05, 31531, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1104 = None 2025-06-05T23:26:40.6600788Z aten_permute_copy_default_279: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1559, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1559 = None 2025-06-05T23:26:40.6601733Z quantized_decomposed_quantize_per_tensor_default_1105: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_279, 8.035911014303565e-05, 31531, 0, 65535, torch.int32); aten_permute_copy_default_279 = None 2025-06-05T23:26:40.6601823Z 2025-06-05T23:26:40.6602183Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.6603369Z quantized_decomposed_dequantize_per_tensor_default_1560: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1105, 8.035911014303565e-05, 31531, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1105 = None 2025-06-05T23:26:40.6604680Z aten_convolution_default_45: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1560, quantized_decomposed_dequantize_per_tensor_default_59, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1560 = quantized_decomposed_dequantize_per_tensor_default_59 = None 2025-06-05T23:26:40.6605620Z quantized_decomposed_quantize_per_tensor_default_1106: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_45, 4.686550164478831e-05, 25382, 0, 65535, torch.int32); aten_convolution_default_45 = None 2025-06-05T23:26:40.6605697Z 2025-06-05T23:26:40.6606126Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.6607296Z quantized_decomposed_dequantize_per_tensor_default_1561: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1106, 4.686550164478831e-05, 25382, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1106 = None 2025-06-05T23:26:40.6608157Z aten_permute_copy_default_280: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1561, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1561 = None 2025-06-05T23:26:40.6609103Z quantized_decomposed_quantize_per_tensor_default_1107: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_280, 4.686550164478831e-05, 25382, 0, 65535, torch.int32); aten_permute_copy_default_280 = None 2025-06-05T23:26:40.6609178Z 2025-06-05T23:26:40.6609729Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.6610924Z quantized_decomposed_dequantize_per_tensor_default_1562: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1107, 4.686550164478831e-05, 25382, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1107 = None 2025-06-05T23:26:40.6611689Z aten_squeeze_copy_dims_73: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1562, [-1]); quantized_decomposed_dequantize_per_tensor_default_1562 = None 2025-06-05T23:26:40.6612610Z quantized_decomposed_quantize_per_tensor_default_1108: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_73, 4.686550164478831e-05, 25382, 0, 65535, torch.int32); aten_squeeze_copy_dims_73 = None 2025-06-05T23:26:40.6612685Z 2025-06-05T23:26:40.6613063Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:132 in forward, code: h = x + h 2025-06-05T23:26:40.6614225Z quantized_decomposed_dequantize_per_tensor_default_1563: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1108, 4.686550164478831e-05, 25382, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1108 = None 2025-06-05T23:26:40.6615400Z aten_add_tensor_33: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_1385, quantized_decomposed_dequantize_per_tensor_default_1563); quantized_decomposed_dequantize_per_tensor_default_1385 = quantized_decomposed_dequantize_per_tensor_default_1563 = None 2025-06-05T23:26:40.6616266Z quantized_decomposed_quantize_per_tensor_default_1109: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_33, 0.00266623985953629, 5970, 0, 65535, torch.int32); aten_add_tensor_33 = None 2025-06-05T23:26:40.6616345Z 2025-06-05T23:26:40.6616856Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:136 in forward, code: out = h + self.feed_forward(self.ffn_norm(h)) 2025-06-05T23:26:40.6617794Z quantized_decomposed_dequantize_per_tensor_default_1564: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1109, 0.00266623985953629, 5970, 0, 65535, torch.int32) 2025-06-05T23:26:40.6618948Z quantized_decomposed_dequantize_per_tensor_default_1565: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1109, 0.00266623985953629, 5970, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1109 = None 2025-06-05T23:26:40.6619495Z aten_pow_tensor_scalar_13: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(quantized_decomposed_dequantize_per_tensor_default_1565, 2) 2025-06-05T23:26:40.6619973Z aten_mean_dim_13: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_mean_dim(aten_pow_tensor_scalar_13, [2], True); aten_pow_tensor_scalar_13 = None 2025-06-05T23:26:40.6620417Z aten_add_scalar_13: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_add_Scalar(aten_mean_dim_13, 9.999999747378752e-06); aten_mean_dim_13 = None 2025-06-05T23:26:40.6620849Z aten_rsqrt_default_13: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_rsqrt_default(aten_add_scalar_13); aten_add_scalar_13 = None 2025-06-05T23:26:40.6621713Z aten_mul_tensor_101: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1565, aten_rsqrt_default_13); quantized_decomposed_dequantize_per_tensor_default_1565 = aten_rsqrt_default_13 = None 2025-06-05T23:26:40.6622559Z aten_mul_tensor_102: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_101, quantized_decomposed_dequantize_per_tensor_default_60); aten_mul_tensor_101 = quantized_decomposed_dequantize_per_tensor_default_60 = None 2025-06-05T23:26:40.6623435Z quantized_decomposed_quantize_per_tensor_default_1110: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_102, 0.0003203543310519308, 20731, 0, 65535, torch.int32); aten_mul_tensor_102 = None 2025-06-05T23:26:40.6623511Z 2025-06-05T23:26:40.6624043Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.6624978Z quantized_decomposed_dequantize_per_tensor_default_1566: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1110, 0.0003203543310519308, 20731, 0, 65535, torch.int32) 2025-06-05T23:26:40.6626149Z quantized_decomposed_dequantize_per_tensor_default_1567: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1110, 0.0003203543310519308, 20731, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1110 = None 2025-06-05T23:26:40.6626998Z aten_unsqueeze_copy_default_74: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1567, -1); quantized_decomposed_dequantize_per_tensor_default_1567 = None 2025-06-05T23:26:40.6627959Z quantized_decomposed_quantize_per_tensor_default_1111: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_74, 0.0003203543310519308, 20731, 0, 65535, torch.int32); aten_unsqueeze_copy_default_74 = None 2025-06-05T23:26:40.6628039Z 2025-06-05T23:26:40.6628456Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.6629636Z quantized_decomposed_dequantize_per_tensor_default_1568: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1111, 0.0003203543310519308, 20731, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1111 = None 2025-06-05T23:26:40.6630453Z aten_permute_copy_default_281: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1568, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1568 = None 2025-06-05T23:26:40.6631512Z quantized_decomposed_quantize_per_tensor_default_1112: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_281, 0.0003203543310519308, 20731, 0, 65535, torch.int32); aten_permute_copy_default_281 = None 2025-06-05T23:26:40.6631615Z 2025-06-05T23:26:40.6631992Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.6633167Z quantized_decomposed_dequantize_per_tensor_default_1569: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1112, 0.0003203543310519308, 20731, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1112 = None 2025-06-05T23:26:40.6634491Z aten_convolution_default_46: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1569, quantized_decomposed_dequantize_per_tensor_default_61, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1569 = quantized_decomposed_dequantize_per_tensor_default_61 = None 2025-06-05T23:26:40.6635483Z quantized_decomposed_quantize_per_tensor_default_1113: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_46, 0.00019273435464128852, 30017, 0, 65535, torch.int32); aten_convolution_default_46 = None 2025-06-05T23:26:40.6635562Z 2025-06-05T23:26:40.6635995Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.6637184Z quantized_decomposed_dequantize_per_tensor_default_1570: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1113, 0.00019273435464128852, 30017, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1113 = None 2025-06-05T23:26:40.6638003Z aten_permute_copy_default_282: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1570, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1570 = None 2025-06-05T23:26:40.6639017Z quantized_decomposed_quantize_per_tensor_default_1114: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_282, 0.00019273435464128852, 30017, 0, 65535, torch.int32); aten_permute_copy_default_282 = None 2025-06-05T23:26:40.6639096Z 2025-06-05T23:26:40.6639632Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.6640827Z quantized_decomposed_dequantize_per_tensor_default_1571: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1114, 0.00019273435464128852, 30017, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1114 = None 2025-06-05T23:26:40.6641595Z aten_squeeze_copy_dims_74: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1571, [-1]); quantized_decomposed_dequantize_per_tensor_default_1571 = None 2025-06-05T23:26:40.6642534Z quantized_decomposed_quantize_per_tensor_default_1115: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_74, 0.00019273435464128852, 30017, 0, 65535, torch.int32); aten_squeeze_copy_dims_74 = None 2025-06-05T23:26:40.6642610Z 2025-06-05T23:26:40.6643126Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:37 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-06-05T23:26:40.6644145Z quantized_decomposed_dequantize_per_tensor_default_1572: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1115, 0.00019273435464128852, 30017, 0, 65535, torch.int32) 2025-06-05T23:26:40.6645321Z quantized_decomposed_dequantize_per_tensor_default_1573: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1115, 0.00019273435464128852, 30017, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1115 = None 2025-06-05T23:26:40.6646089Z aten_sigmoid_default_6: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_sigmoid_default(quantized_decomposed_dequantize_per_tensor_default_1573); quantized_decomposed_dequantize_per_tensor_default_1573 = None 2025-06-05T23:26:40.6646998Z quantized_decomposed_quantize_per_tensor_default_1116: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sigmoid_default_6, 1.52587890625e-05, 0, 0, 65535, torch.int32); aten_sigmoid_default_6 = None 2025-06-05T23:26:40.6648130Z quantized_decomposed_dequantize_per_tensor_default_1574: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1116, 1.52587890625e-05, 0, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1116 = None 2025-06-05T23:26:40.6649308Z aten_mul_tensor_103: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1572, quantized_decomposed_dequantize_per_tensor_default_1574); quantized_decomposed_dequantize_per_tensor_default_1572 = quantized_decomposed_dequantize_per_tensor_default_1574 = None 2025-06-05T23:26:40.6650193Z quantized_decomposed_quantize_per_tensor_default_1117: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_103, 0.00010859330359380692, 2564, 0, 65535, torch.int32); aten_mul_tensor_103 = None 2025-06-05T23:26:40.6651412Z quantized_decomposed_dequantize_per_tensor_default_1575: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1117, 0.00010859330359380692, 2564, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1117 = None 2025-06-05T23:26:40.6651491Z 2025-06-05T23:26:40.6652014Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.6652849Z aten_unsqueeze_copy_default_75: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1566, -1); quantized_decomposed_dequantize_per_tensor_default_1566 = None 2025-06-05T23:26:40.6653815Z quantized_decomposed_quantize_per_tensor_default_1118: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_75, 0.0003203543310519308, 20731, 0, 65535, torch.int32); aten_unsqueeze_copy_default_75 = None 2025-06-05T23:26:40.6653893Z 2025-06-05T23:26:40.6654314Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.6655494Z quantized_decomposed_dequantize_per_tensor_default_1576: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1118, 0.0003203543310519308, 20731, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1118 = None 2025-06-05T23:26:40.6656360Z aten_permute_copy_default_283: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1576, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1576 = None 2025-06-05T23:26:40.6657319Z quantized_decomposed_quantize_per_tensor_default_1119: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_283, 0.0003203543310519308, 20731, 0, 65535, torch.int32); aten_permute_copy_default_283 = None 2025-06-05T23:26:40.6657397Z 2025-06-05T23:26:40.6657772Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.6658950Z quantized_decomposed_dequantize_per_tensor_default_1577: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1119, 0.0003203543310519308, 20731, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1119 = None 2025-06-05T23:26:40.6660292Z aten_convolution_default_47: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1577, quantized_decomposed_dequantize_per_tensor_default_62, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1577 = quantized_decomposed_dequantize_per_tensor_default_62 = None 2025-06-05T23:26:40.6661253Z quantized_decomposed_quantize_per_tensor_default_1120: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_47, 0.00018771942995954305, 34569, 0, 65535, torch.int32); aten_convolution_default_47 = None 2025-06-05T23:26:40.6661333Z 2025-06-05T23:26:40.6661774Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.6662956Z quantized_decomposed_dequantize_per_tensor_default_1578: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1120, 0.00018771942995954305, 34569, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1120 = None 2025-06-05T23:26:40.6663790Z aten_permute_copy_default_284: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1578, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1578 = None 2025-06-05T23:26:40.6664774Z quantized_decomposed_quantize_per_tensor_default_1121: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_284, 0.00018771942995954305, 34569, 0, 65535, torch.int32); aten_permute_copy_default_284 = None 2025-06-05T23:26:40.6664856Z 2025-06-05T23:26:40.6665397Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.6666601Z quantized_decomposed_dequantize_per_tensor_default_1579: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1121, 0.00018771942995954305, 34569, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1121 = None 2025-06-05T23:26:40.6667372Z aten_squeeze_copy_dims_75: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1579, [-1]); quantized_decomposed_dequantize_per_tensor_default_1579 = None 2025-06-05T23:26:40.6668337Z quantized_decomposed_quantize_per_tensor_default_1122: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_75, 0.00018771942995954305, 34569, 0, 65535, torch.int32); aten_squeeze_copy_dims_75 = None 2025-06-05T23:26:40.6668442Z 2025-06-05T23:26:40.6668958Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:37 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-06-05T23:26:40.6670149Z quantized_decomposed_dequantize_per_tensor_default_1580: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1122, 0.00018771942995954305, 34569, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1122 = None 2025-06-05T23:26:40.6671439Z aten_mul_tensor_104: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1575, quantized_decomposed_dequantize_per_tensor_default_1580); quantized_decomposed_dequantize_per_tensor_default_1575 = quantized_decomposed_dequantize_per_tensor_default_1580 = None 2025-06-05T23:26:40.6672332Z quantized_decomposed_quantize_per_tensor_default_1123: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_104, 0.00036516462569124997, 41930, 0, 65535, torch.int32); aten_mul_tensor_104 = None 2025-06-05T23:26:40.6672415Z 2025-06-05T23:26:40.6673157Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.6674340Z quantized_decomposed_dequantize_per_tensor_default_1581: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1123, 0.00036516462569124997, 41930, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1123 = None 2025-06-05T23:26:40.6675165Z aten_unsqueeze_copy_default_76: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1581, -1); quantized_decomposed_dequantize_per_tensor_default_1581 = None 2025-06-05T23:26:40.6676206Z quantized_decomposed_quantize_per_tensor_default_1124: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_76, 0.00036516462569124997, 41930, 0, 65535, torch.int32); aten_unsqueeze_copy_default_76 = None 2025-06-05T23:26:40.6676297Z 2025-06-05T23:26:40.6676700Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.6677889Z quantized_decomposed_dequantize_per_tensor_default_1582: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1124, 0.00036516462569124997, 41930, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1124 = None 2025-06-05T23:26:40.6678713Z aten_permute_copy_default_285: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1582, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1582 = None 2025-06-05T23:26:40.6679670Z quantized_decomposed_quantize_per_tensor_default_1125: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_285, 0.00036516462569124997, 41930, 0, 65535, torch.int32); aten_permute_copy_default_285 = None 2025-06-05T23:26:40.6679763Z 2025-06-05T23:26:40.6680122Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.6681378Z quantized_decomposed_dequantize_per_tensor_default_1583: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1125, 0.00036516462569124997, 41930, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1125 = None 2025-06-05T23:26:40.6682699Z aten_convolution_default_48: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1583, quantized_decomposed_dequantize_per_tensor_default_63, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1583 = quantized_decomposed_dequantize_per_tensor_default_63 = None 2025-06-05T23:26:40.6683640Z quantized_decomposed_quantize_per_tensor_default_1126: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_48, 0.0002038518141489476, 13251, 0, 65535, torch.int32); aten_convolution_default_48 = None 2025-06-05T23:26:40.6683763Z 2025-06-05T23:26:40.6684183Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.6685357Z quantized_decomposed_dequantize_per_tensor_default_1584: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1126, 0.0002038518141489476, 13251, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1126 = None 2025-06-05T23:26:40.6686175Z aten_permute_copy_default_286: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1584, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1584 = None 2025-06-05T23:26:40.6687246Z quantized_decomposed_quantize_per_tensor_default_1127: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_286, 0.0002038518141489476, 13251, 0, 65535, torch.int32); aten_permute_copy_default_286 = None 2025-06-05T23:26:40.6687325Z 2025-06-05T23:26:40.6687907Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.6689087Z quantized_decomposed_dequantize_per_tensor_default_1585: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1127, 0.0002038518141489476, 13251, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1127 = None 2025-06-05T23:26:40.6689864Z aten_squeeze_copy_dims_76: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1585, [-1]); quantized_decomposed_dequantize_per_tensor_default_1585 = None 2025-06-05T23:26:40.6690784Z quantized_decomposed_quantize_per_tensor_default_1128: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_76, 0.0002038518141489476, 13251, 0, 65535, torch.int32); aten_squeeze_copy_dims_76 = None 2025-06-05T23:26:40.6690862Z 2025-06-05T23:26:40.6691383Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:136 in forward, code: out = h + self.feed_forward(self.ffn_norm(h)) 2025-06-05T23:26:40.6692556Z quantized_decomposed_dequantize_per_tensor_default_1586: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1128, 0.0002038518141489476, 13251, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1128 = None 2025-06-05T23:26:40.6693796Z aten_add_tensor_34: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_1564, quantized_decomposed_dequantize_per_tensor_default_1586); quantized_decomposed_dequantize_per_tensor_default_1564 = quantized_decomposed_dequantize_per_tensor_default_1586 = None 2025-06-05T23:26:40.6694664Z quantized_decomposed_quantize_per_tensor_default_1129: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_34, 0.002665344625711441, 5896, 0, 65535, torch.int32); aten_add_tensor_34 = None 2025-06-05T23:26:40.6694741Z 2025-06-05T23:26:40.6695118Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:132 in forward, code: h = x + h 2025-06-05T23:26:40.6696078Z quantized_decomposed_dequantize_per_tensor_default_1587: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1129, 0.002665344625711441, 5896, 0, 65535, torch.int32) 2025-06-05T23:26:40.6696159Z 2025-06-05T23:26:40.6696735Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:129 in forward, code: self.attention_norm(x), freqs_cos, freqs_sin, **attn_options 2025-06-05T23:26:40.6697896Z quantized_decomposed_dequantize_per_tensor_default_1588: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1129, 0.002665344625711441, 5896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1129 = None 2025-06-05T23:26:40.6698409Z aten_pow_tensor_scalar_14: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(quantized_decomposed_dequantize_per_tensor_default_1588, 2) 2025-06-05T23:26:40.6698883Z aten_mean_dim_14: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_mean_dim(aten_pow_tensor_scalar_14, [2], True); aten_pow_tensor_scalar_14 = None 2025-06-05T23:26:40.6699326Z aten_add_scalar_14: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_add_Scalar(aten_mean_dim_14, 9.999999747378752e-06); aten_mean_dim_14 = None 2025-06-05T23:26:40.6699771Z aten_rsqrt_default_14: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_rsqrt_default(aten_add_scalar_14); aten_add_scalar_14 = None 2025-06-05T23:26:40.6700652Z aten_mul_tensor_105: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1588, aten_rsqrt_default_14); quantized_decomposed_dequantize_per_tensor_default_1588 = aten_rsqrt_default_14 = None 2025-06-05T23:26:40.6701478Z aten_mul_tensor_106: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_105, quantized_decomposed_dequantize_per_tensor_default_64); aten_mul_tensor_105 = quantized_decomposed_dequantize_per_tensor_default_64 = None 2025-06-05T23:26:40.6702361Z quantized_decomposed_quantize_per_tensor_default_1130: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_106, 0.0004271493526175618, 31257, 0, 65535, torch.int32); aten_mul_tensor_106 = None 2025-06-05T23:26:40.6702438Z 2025-06-05T23:26:40.6702962Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.6703914Z quantized_decomposed_dequantize_per_tensor_default_1589: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1130, 0.0004271493526175618, 31257, 0, 65535, torch.int32) 2025-06-05T23:26:40.6704868Z quantized_decomposed_dequantize_per_tensor_default_1590: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1130, 0.0004271493526175618, 31257, 0, 65535, torch.int32) 2025-06-05T23:26:40.6706052Z quantized_decomposed_dequantize_per_tensor_default_1591: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1130, 0.0004271493526175618, 31257, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1130 = None 2025-06-05T23:26:40.6706881Z aten_unsqueeze_copy_default_77: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1591, -1); quantized_decomposed_dequantize_per_tensor_default_1591 = None 2025-06-05T23:26:40.6707876Z quantized_decomposed_quantize_per_tensor_default_1131: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_77, 0.0004271493526175618, 31257, 0, 65535, torch.int32); aten_unsqueeze_copy_default_77 = None 2025-06-05T23:26:40.6707966Z 2025-06-05T23:26:40.6708369Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.6709540Z quantized_decomposed_dequantize_per_tensor_default_1592: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1131, 0.0004271493526175618, 31257, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1131 = None 2025-06-05T23:26:40.6710361Z aten_permute_copy_default_287: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1592, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1592 = None 2025-06-05T23:26:40.6711413Z quantized_decomposed_quantize_per_tensor_default_1132: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_287, 0.0004271493526175618, 31257, 0, 65535, torch.int32); aten_permute_copy_default_287 = None 2025-06-05T23:26:40.6711492Z 2025-06-05T23:26:40.6711898Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.6713079Z quantized_decomposed_dequantize_per_tensor_default_1593: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1132, 0.0004271493526175618, 31257, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1132 = None 2025-06-05T23:26:40.6714398Z aten_convolution_default_49: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1593, quantized_decomposed_dequantize_per_tensor_default_65, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1593 = quantized_decomposed_dequantize_per_tensor_default_65 = None 2025-06-05T23:26:40.6715350Z quantized_decomposed_quantize_per_tensor_default_1133: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_49, 0.00033543823519721627, 30157, 0, 65535, torch.int32); aten_convolution_default_49 = None 2025-06-05T23:26:40.6715428Z 2025-06-05T23:26:40.6715864Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.6717081Z quantized_decomposed_dequantize_per_tensor_default_1594: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1133, 0.00033543823519721627, 30157, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1133 = None 2025-06-05T23:26:40.6717932Z aten_permute_copy_default_288: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1594, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1594 = None 2025-06-05T23:26:40.6718893Z quantized_decomposed_quantize_per_tensor_default_1134: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_288, 0.00033543823519721627, 30157, 0, 65535, torch.int32); aten_permute_copy_default_288 = None 2025-06-05T23:26:40.6718995Z 2025-06-05T23:26:40.6719547Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.6720728Z quantized_decomposed_dequantize_per_tensor_default_1595: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1134, 0.00033543823519721627, 30157, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1134 = None 2025-06-05T23:26:40.6721489Z aten_squeeze_copy_dims_77: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1595, [-1]); quantized_decomposed_dequantize_per_tensor_default_1595 = None 2025-06-05T23:26:40.6722429Z quantized_decomposed_quantize_per_tensor_default_1135: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_77, 0.00033543823519721627, 30157, 0, 65535, torch.int32); aten_squeeze_copy_dims_77 = None 2025-06-05T23:26:40.6722508Z 2025-06-05T23:26:40.6723028Z # File: /pytorch/executorch/examples/models/llama/attention.py:405 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim) 2025-06-05T23:26:40.6724232Z quantized_decomposed_dequantize_per_tensor_default_1596: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1135, 0.00033543823519721627, 30157, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1135 = None 2025-06-05T23:26:40.6724311Z 2025-06-05T23:26:40.6724842Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.6725659Z aten_unsqueeze_copy_default_78: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1590, -1); quantized_decomposed_dequantize_per_tensor_default_1590 = None 2025-06-05T23:26:40.6726620Z quantized_decomposed_quantize_per_tensor_default_1136: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_78, 0.0004271493526175618, 31257, 0, 65535, torch.int32); aten_unsqueeze_copy_default_78 = None 2025-06-05T23:26:40.6726711Z 2025-06-05T23:26:40.6727113Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.6728287Z quantized_decomposed_dequantize_per_tensor_default_1597: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1136, 0.0004271493526175618, 31257, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1136 = None 2025-06-05T23:26:40.6729155Z aten_permute_copy_default_289: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1597, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1597 = None 2025-06-05T23:26:40.6730106Z quantized_decomposed_quantize_per_tensor_default_1137: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_289, 0.0004271493526175618, 31257, 0, 65535, torch.int32); aten_permute_copy_default_289 = None 2025-06-05T23:26:40.6730195Z 2025-06-05T23:26:40.6730553Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.6731729Z quantized_decomposed_dequantize_per_tensor_default_1598: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1137, 0.0004271493526175618, 31257, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1137 = None 2025-06-05T23:26:40.6733076Z aten_convolution_default_50: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1598, quantized_decomposed_dequantize_per_tensor_default_66, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1598 = quantized_decomposed_dequantize_per_tensor_default_66 = None 2025-06-05T23:26:40.6734022Z quantized_decomposed_quantize_per_tensor_default_1138: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_50, 0.00040363334119319916, 34283, 0, 65535, torch.int32); aten_convolution_default_50 = None 2025-06-05T23:26:40.6734099Z 2025-06-05T23:26:40.6734529Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.6735709Z quantized_decomposed_dequantize_per_tensor_default_1599: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1138, 0.00040363334119319916, 34283, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1138 = None 2025-06-05T23:26:40.6736565Z aten_permute_copy_default_290: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1599, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1599 = None 2025-06-05T23:26:40.6737519Z quantized_decomposed_quantize_per_tensor_default_1139: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_290, 0.00040363334119319916, 34283, 0, 65535, torch.int32); aten_permute_copy_default_290 = None 2025-06-05T23:26:40.6737600Z 2025-06-05T23:26:40.6738154Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.6739344Z quantized_decomposed_dequantize_per_tensor_default_1600: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1139, 0.00040363334119319916, 34283, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1139 = None 2025-06-05T23:26:40.6740103Z aten_squeeze_copy_dims_78: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1600, [-1]); quantized_decomposed_dequantize_per_tensor_default_1600 = None 2025-06-05T23:26:40.6741059Z quantized_decomposed_quantize_per_tensor_default_1140: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_78, 0.00040363334119319916, 34283, 0, 65535, torch.int32); aten_squeeze_copy_dims_78 = None 2025-06-05T23:26:40.6741158Z 2025-06-05T23:26:40.6741688Z # File: /pytorch/executorch/examples/models/llama/attention.py:406 in forward, code: k = k.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim) 2025-06-05T23:26:40.6742872Z quantized_decomposed_dequantize_per_tensor_default_1601: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1140, 0.00040363334119319916, 34283, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1140 = None 2025-06-05T23:26:40.6742948Z 2025-06-05T23:26:40.6743502Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.6744316Z aten_unsqueeze_copy_default_79: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1589, -1); quantized_decomposed_dequantize_per_tensor_default_1589 = None 2025-06-05T23:26:40.6745274Z quantized_decomposed_quantize_per_tensor_default_1141: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_79, 0.0004271493526175618, 31257, 0, 65535, torch.int32); aten_unsqueeze_copy_default_79 = None 2025-06-05T23:26:40.6745361Z 2025-06-05T23:26:40.6745765Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.6746932Z quantized_decomposed_dequantize_per_tensor_default_1602: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1141, 0.0004271493526175618, 31257, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1141 = None 2025-06-05T23:26:40.6747750Z aten_permute_copy_default_291: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1602, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1602 = None 2025-06-05T23:26:40.6748724Z quantized_decomposed_quantize_per_tensor_default_1142: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_291, 0.0004271493526175618, 31257, 0, 65535, torch.int32); aten_permute_copy_default_291 = None 2025-06-05T23:26:40.6748813Z 2025-06-05T23:26:40.6749171Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.6750350Z quantized_decomposed_dequantize_per_tensor_default_1603: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1142, 0.0004271493526175618, 31257, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1142 = None 2025-06-05T23:26:40.6751733Z aten_convolution_default_51: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1603, quantized_decomposed_dequantize_per_tensor_default_67, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1603 = quantized_decomposed_dequantize_per_tensor_default_67 = None 2025-06-05T23:26:40.6752704Z quantized_decomposed_quantize_per_tensor_default_1143: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_51, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_convolution_default_51 = None 2025-06-05T23:26:40.6752804Z 2025-06-05T23:26:40.6753236Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.6754404Z quantized_decomposed_dequantize_per_tensor_default_1604: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1143, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1143 = None 2025-06-05T23:26:40.6755227Z aten_permute_copy_default_292: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1604, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1604 = None 2025-06-05T23:26:40.6756206Z quantized_decomposed_quantize_per_tensor_default_1144: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_292, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_permute_copy_default_292 = None 2025-06-05T23:26:40.6756285Z 2025-06-05T23:26:40.6756835Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.6758003Z quantized_decomposed_dequantize_per_tensor_default_1605: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1144, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1144 = None 2025-06-05T23:26:40.6758770Z aten_squeeze_copy_dims_79: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1605, [-1]); quantized_decomposed_dequantize_per_tensor_default_1605 = None 2025-06-05T23:26:40.6759691Z quantized_decomposed_quantize_per_tensor_default_1145: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_79, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_squeeze_copy_dims_79 = None 2025-06-05T23:26:40.6759768Z 2025-06-05T23:26:40.6760342Z # File: /pytorch/executorch/examples/models/llama/attention.py:407 in forward, code: v = v.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim) 2025-06-05T23:26:40.6761517Z quantized_decomposed_dequantize_per_tensor_default_1606: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1145, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1145 = None 2025-06-05T23:26:40.6761598Z 2025-06-05T23:26:40.6762131Z # File: /pytorch/executorch/examples/models/llama/attention.py:405 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim) 2025-06-05T23:26:40.6762918Z aten_view_copy_default_126: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1596, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_1596 = None 2025-06-05T23:26:40.6763848Z quantized_decomposed_quantize_per_tensor_default_1146: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_126, 0.00033543823519721627, 30157, 0, 65535, torch.int32); aten_view_copy_default_126 = None 2025-06-05T23:26:40.6763941Z 2025-06-05T23:26:40.6764470Z # File: /pytorch/executorch/examples/models/llama/rope.py:84 in apply_rotary_emb, code: xq_r, xq_i = xq.float().reshape(xq.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.6765692Z quantized_decomposed_dequantize_per_tensor_default_1607: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1146, 0.00033543823519721627, 30157, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1146 = None 2025-06-05T23:26:40.6765783Z 2025-06-05T23:26:40.6766305Z # File: /pytorch/executorch/examples/models/llama/attention.py:406 in forward, code: k = k.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim) 2025-06-05T23:26:40.6767075Z aten_view_copy_default_127: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1601, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_1601 = None 2025-06-05T23:26:40.6768039Z quantized_decomposed_quantize_per_tensor_default_1147: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_127, 0.00040363334119319916, 34283, 0, 65535, torch.int32); aten_view_copy_default_127 = None 2025-06-05T23:26:40.6768115Z 2025-06-05T23:26:40.6768649Z # File: /pytorch/executorch/examples/models/llama/rope.py:85 in apply_rotary_emb, code: xk_r, xk_i = xk.float().reshape(xk.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.6769830Z quantized_decomposed_dequantize_per_tensor_default_1608: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1147, 0.00040363334119319916, 34283, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1147 = None 2025-06-05T23:26:40.6769907Z 2025-06-05T23:26:40.6770442Z # File: /pytorch/executorch/examples/models/llama/attention.py:407 in forward, code: v = v.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim) 2025-06-05T23:26:40.6771216Z aten_view_copy_default_128: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1606, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_1606 = None 2025-06-05T23:26:40.6772160Z quantized_decomposed_quantize_per_tensor_default_1148: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_128, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_view_copy_default_128 = None 2025-06-05T23:26:40.6772252Z 2025-06-05T23:26:40.6773144Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:511 in update, code: v_out = torch.ops.aten.index_put_(self.past_v_caches, [None, input_pos], v_val) 2025-06-05T23:26:40.6774314Z quantized_decomposed_dequantize_per_tensor_default_1609: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1148, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1148 = None 2025-06-05T23:26:40.6774409Z 2025-06-05T23:26:40.6774931Z # File: /pytorch/executorch/examples/models/llama/rope.py:84 in apply_rotary_emb, code: xq_r, xq_i = xq.float().reshape(xq.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.6775730Z aten_view_copy_default_129: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1607, [1, 1, 12, -1, 2]); quantized_decomposed_dequantize_per_tensor_default_1607 = None 2025-06-05T23:26:40.6776730Z quantized_decomposed_quantize_per_tensor_default_1149: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_129, 0.00033543823519721627, 30157, 0, 65535, torch.int32); aten_view_copy_default_129 = None 2025-06-05T23:26:40.6777944Z quantized_decomposed_dequantize_per_tensor_default_1610: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1149, 0.00033543823519721627, 30157, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1149 = None 2025-06-05T23:26:40.6778494Z aten_slice_copy_tensor_28: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_1610, 4, 0, 1) 2025-06-05T23:26:40.6779257Z aten_slice_copy_tensor_29: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_1610, 4, 1, 2); quantized_decomposed_dequantize_per_tensor_default_1610 = None 2025-06-05T23:26:40.6779843Z aten_squeeze_copy_dims_80: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_28, [4]); aten_slice_copy_tensor_28 = None 2025-06-05T23:26:40.6780358Z aten_squeeze_copy_dims_81: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_29, [4]); aten_slice_copy_tensor_29 = None 2025-06-05T23:26:40.6781280Z quantized_decomposed_quantize_per_tensor_default_1150: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_80, 0.00033543823519721627, 30157, 0, 65535, torch.int32); aten_squeeze_copy_dims_80 = None 2025-06-05T23:26:40.6781373Z 2025-06-05T23:26:40.6781846Z # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos 2025-06-05T23:26:40.6782783Z quantized_decomposed_dequantize_per_tensor_default_1611: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1150, 0.00033543823519721627, 30157, 0, 65535, torch.int32) 2025-06-05T23:26:40.6782877Z 2025-06-05T23:26:40.6783346Z # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin 2025-06-05T23:26:40.6784552Z quantized_decomposed_dequantize_per_tensor_default_1612: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1150, 0.00033543823519721627, 30157, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1150 = None 2025-06-05T23:26:40.6784649Z 2025-06-05T23:26:40.6785174Z # File: /pytorch/executorch/examples/models/llama/rope.py:84 in apply_rotary_emb, code: xq_r, xq_i = xq.float().reshape(xq.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.6786093Z quantized_decomposed_quantize_per_tensor_default_1151: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_81, 0.00033543823519721627, 30157, 0, 65535, torch.int32); aten_squeeze_copy_dims_81 = None 2025-06-05T23:26:40.6786182Z 2025-06-05T23:26:40.6786656Z # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin 2025-06-05T23:26:40.6787590Z quantized_decomposed_dequantize_per_tensor_default_1613: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1151, 0.00033543823519721627, 30157, 0, 65535, torch.int32) 2025-06-05T23:26:40.6787684Z 2025-06-05T23:26:40.6788178Z # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos 2025-06-05T23:26:40.6789374Z quantized_decomposed_dequantize_per_tensor_default_1614: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1151, 0.00033543823519721627, 30157, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1151 = None 2025-06-05T23:26:40.6789467Z 2025-06-05T23:26:40.6789986Z # File: /pytorch/executorch/examples/models/llama/rope.py:85 in apply_rotary_emb, code: xk_r, xk_i = xk.float().reshape(xk.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.6790783Z aten_view_copy_default_130: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1608, [1, 1, 12, -1, 2]); quantized_decomposed_dequantize_per_tensor_default_1608 = None 2025-06-05T23:26:40.6791817Z quantized_decomposed_quantize_per_tensor_default_1152: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_130, 0.00040363334119319916, 34283, 0, 65535, torch.int32); aten_view_copy_default_130 = None 2025-06-05T23:26:40.6792996Z quantized_decomposed_dequantize_per_tensor_default_1615: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1152, 0.00040363334119319916, 34283, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1152 = None 2025-06-05T23:26:40.6793547Z aten_slice_copy_tensor_30: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_1615, 4, 0, 1) 2025-06-05T23:26:40.6794315Z aten_slice_copy_tensor_31: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_1615, 4, 1, 2); quantized_decomposed_dequantize_per_tensor_default_1615 = None 2025-06-05T23:26:40.6794847Z aten_squeeze_copy_dims_82: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_30, [4]); aten_slice_copy_tensor_30 = None 2025-06-05T23:26:40.6795387Z aten_squeeze_copy_dims_83: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_31, [4]); aten_slice_copy_tensor_31 = None 2025-06-05T23:26:40.6796313Z quantized_decomposed_quantize_per_tensor_default_1153: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_82, 0.00040363334119319916, 34283, 0, 65535, torch.int32); aten_squeeze_copy_dims_82 = None 2025-06-05T23:26:40.6796406Z 2025-06-05T23:26:40.6796882Z # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos 2025-06-05T23:26:40.6797814Z quantized_decomposed_dequantize_per_tensor_default_1616: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1153, 0.00040363334119319916, 34283, 0, 65535, torch.int32) 2025-06-05T23:26:40.6797904Z 2025-06-05T23:26:40.6798373Z # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin 2025-06-05T23:26:40.6799543Z quantized_decomposed_dequantize_per_tensor_default_1617: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1153, 0.00040363334119319916, 34283, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1153 = None 2025-06-05T23:26:40.6799658Z 2025-06-05T23:26:40.6800199Z # File: /pytorch/executorch/examples/models/llama/rope.py:85 in apply_rotary_emb, code: xk_r, xk_i = xk.float().reshape(xk.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.6801123Z quantized_decomposed_quantize_per_tensor_default_1154: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_83, 0.00040363334119319916, 34283, 0, 65535, torch.int32); aten_squeeze_copy_dims_83 = None 2025-06-05T23:26:40.6801210Z 2025-06-05T23:26:40.6801680Z # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin 2025-06-05T23:26:40.6802608Z quantized_decomposed_dequantize_per_tensor_default_1618: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1154, 0.00040363334119319916, 34283, 0, 65535, torch.int32) 2025-06-05T23:26:40.6802723Z 2025-06-05T23:26:40.6803188Z # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos 2025-06-05T23:26:40.6804365Z quantized_decomposed_dequantize_per_tensor_default_1619: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1154, 0.00040363334119319916, 34283, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1154 = None 2025-06-05T23:26:40.6804455Z 2025-06-05T23:26:40.6804888Z # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape) 2025-06-05T23:26:40.6805674Z aten_view_copy_default_131: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_155, [1, 1, 1, 32]); quantized_decomposed_dequantize_per_tensor_default_155 = None 2025-06-05T23:26:40.6806588Z quantized_decomposed_quantize_per_tensor_default_1155: "i32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_131, 3.051804378628731e-05, 32768, 0, 65535, torch.int32); aten_view_copy_default_131 = None 2025-06-05T23:26:40.6806665Z 2025-06-05T23:26:40.6807172Z # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos 2025-06-05T23:26:40.6808103Z quantized_decomposed_dequantize_per_tensor_default_1620: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1155, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-06-05T23:26:40.6808178Z 2025-06-05T23:26:40.6808659Z # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin 2025-06-05T23:26:40.6809584Z quantized_decomposed_dequantize_per_tensor_default_1621: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1155, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-06-05T23:26:40.6809660Z 2025-06-05T23:26:40.6810135Z # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos 2025-06-05T23:26:40.6811070Z quantized_decomposed_dequantize_per_tensor_default_1622: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1155, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-06-05T23:26:40.6811170Z 2025-06-05T23:26:40.6811669Z # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin 2025-06-05T23:26:40.6812827Z quantized_decomposed_dequantize_per_tensor_default_1623: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1155, 3.051804378628731e-05, 32768, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1155 = None 2025-06-05T23:26:40.6812904Z 2025-06-05T23:26:40.6813351Z # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape) 2025-06-05T23:26:40.6814119Z aten_view_copy_default_132: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_167, [1, 1, 1, 32]); quantized_decomposed_dequantize_per_tensor_default_167 = None 2025-06-05T23:26:40.6815097Z quantized_decomposed_quantize_per_tensor_default_1156: "i32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_132, 3.051786916330457e-05, 32767, 0, 65535, torch.int32); aten_view_copy_default_132 = None 2025-06-05T23:26:40.6815173Z 2025-06-05T23:26:40.6815647Z # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin 2025-06-05T23:26:40.6816582Z quantized_decomposed_dequantize_per_tensor_default_1624: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1156, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-06-05T23:26:40.6816658Z 2025-06-05T23:26:40.6817127Z # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos 2025-06-05T23:26:40.6818075Z quantized_decomposed_dequantize_per_tensor_default_1625: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1156, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-06-05T23:26:40.6818151Z 2025-06-05T23:26:40.6818643Z # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin 2025-06-05T23:26:40.6819580Z quantized_decomposed_dequantize_per_tensor_default_1626: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1156, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-06-05T23:26:40.6819657Z 2025-06-05T23:26:40.6820124Z # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos 2025-06-05T23:26:40.6821305Z quantized_decomposed_dequantize_per_tensor_default_1627: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1156, 3.051786916330457e-05, 32767, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1156 = None 2025-06-05T23:26:40.6821381Z 2025-06-05T23:26:40.6821850Z # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin 2025-06-05T23:26:40.6823046Z aten_mul_tensor_107: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1612, quantized_decomposed_dequantize_per_tensor_default_1623); quantized_decomposed_dequantize_per_tensor_default_1612 = quantized_decomposed_dequantize_per_tensor_default_1623 = None 2025-06-05T23:26:40.6823950Z quantized_decomposed_quantize_per_tensor_default_1157: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_107, 0.0003348104073666036, 30213, 0, 65535, torch.int32); aten_mul_tensor_107 = None 2025-06-05T23:26:40.6825134Z quantized_decomposed_dequantize_per_tensor_default_1628: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1157, 0.0003348104073666036, 30213, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1157 = None 2025-06-05T23:26:40.6826282Z aten_mul_tensor_108: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1613, quantized_decomposed_dequantize_per_tensor_default_1626); quantized_decomposed_dequantize_per_tensor_default_1613 = quantized_decomposed_dequantize_per_tensor_default_1626 = None 2025-06-05T23:26:40.6827176Z quantized_decomposed_quantize_per_tensor_default_1158: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_108, 0.0001602927513886243, 36040, 0, 65535, torch.int32); aten_mul_tensor_108 = None 2025-06-05T23:26:40.6828364Z quantized_decomposed_dequantize_per_tensor_default_1629: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1158, 0.0001602927513886243, 36040, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1158 = None 2025-06-05T23:26:40.6829507Z aten_sub_tensor_14: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(quantized_decomposed_dequantize_per_tensor_default_1628, quantized_decomposed_dequantize_per_tensor_default_1629); quantized_decomposed_dequantize_per_tensor_default_1628 = quantized_decomposed_dequantize_per_tensor_default_1629 = None 2025-06-05T23:26:40.6830378Z quantized_decomposed_quantize_per_tensor_default_1159: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sub_tensor_14, 0.0003344771103002131, 30259, 0, 65535, torch.int32); aten_sub_tensor_14 = None 2025-06-05T23:26:40.6830455Z 2025-06-05T23:26:40.6831500Z # File: .74:4154 in forward, code: dequantize_per_tensor_default_1315 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1315, 0.0003344771103002131, 30259, 0, 65535, torch.int32); quantize_per_tensor_default_1315 = None 2025-06-05T23:26:40.6832690Z quantized_decomposed_dequantize_per_tensor_default_1630: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1159, 0.0003344771103002131, 30259, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1159 = None 2025-06-05T23:26:40.6832770Z 2025-06-05T23:26:40.6833241Z # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos 2025-06-05T23:26:40.6834414Z aten_mul_tensor_109: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1611, quantized_decomposed_dequantize_per_tensor_default_1627); quantized_decomposed_dequantize_per_tensor_default_1611 = quantized_decomposed_dequantize_per_tensor_default_1627 = None 2025-06-05T23:26:40.6835299Z quantized_decomposed_quantize_per_tensor_default_1160: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_109, 0.00014775632007513195, 30678, 0, 65535, torch.int32); aten_mul_tensor_109 = None 2025-06-05T23:26:40.6836547Z quantized_decomposed_dequantize_per_tensor_default_1631: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1160, 0.00014775632007513195, 30678, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1160 = None 2025-06-05T23:26:40.6837706Z aten_mul_tensor_110: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1614, quantized_decomposed_dequantize_per_tensor_default_1622); quantized_decomposed_dequantize_per_tensor_default_1614 = quantized_decomposed_dequantize_per_tensor_default_1622 = None 2025-06-05T23:26:40.6838582Z quantized_decomposed_quantize_per_tensor_default_1161: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_110, 0.000265473616309464, 35993, 0, 65535, torch.int32); aten_mul_tensor_110 = None 2025-06-05T23:26:40.6839778Z quantized_decomposed_dequantize_per_tensor_default_1632: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1161, 0.000265473616309464, 35993, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1161 = None 2025-06-05T23:26:40.6840926Z aten_add_tensor_35: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_1631, quantized_decomposed_dequantize_per_tensor_default_1632); quantized_decomposed_dequantize_per_tensor_default_1631 = quantized_decomposed_dequantize_per_tensor_default_1632 = None 2025-06-05T23:26:40.6841809Z quantized_decomposed_quantize_per_tensor_default_1162: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_35, 0.0003344771103002131, 30259, 0, 65535, torch.int32); aten_add_tensor_35 = None 2025-06-05T23:26:40.6841890Z 2025-06-05T23:26:40.6842863Z # File: .74:4163 in forward, code: dequantize_per_tensor_default_1318 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1318, 0.0003344771103002131, 30259, 0, 65535, torch.int32); quantize_per_tensor_default_1318 = None 2025-06-05T23:26:40.6844053Z quantized_decomposed_dequantize_per_tensor_default_1633: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1162, 0.0003344771103002131, 30259, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1162 = None 2025-06-05T23:26:40.6844130Z 2025-06-05T23:26:40.6844625Z # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin 2025-06-05T23:26:40.6845775Z aten_mul_tensor_111: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1617, quantized_decomposed_dequantize_per_tensor_default_1621); quantized_decomposed_dequantize_per_tensor_default_1617 = quantized_decomposed_dequantize_per_tensor_default_1621 = None 2025-06-05T23:26:40.6846648Z quantized_decomposed_quantize_per_tensor_default_1163: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_111, 0.0004010801203548908, 34212, 0, 65535, torch.int32); aten_mul_tensor_111 = None 2025-06-05T23:26:40.6847823Z quantized_decomposed_dequantize_per_tensor_default_1634: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1163, 0.0004010801203548908, 34212, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1163 = None 2025-06-05T23:26:40.6849014Z aten_mul_tensor_112: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1618, quantized_decomposed_dequantize_per_tensor_default_1624); quantized_decomposed_dequantize_per_tensor_default_1618 = quantized_decomposed_dequantize_per_tensor_default_1624 = None 2025-06-05T23:26:40.6849902Z quantized_decomposed_quantize_per_tensor_default_1164: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_112, 0.0001895799214253202, 36365, 0, 65535, torch.int32); aten_mul_tensor_112 = None 2025-06-05T23:26:40.6851066Z quantized_decomposed_dequantize_per_tensor_default_1635: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1164, 0.0001895799214253202, 36365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1164 = None 2025-06-05T23:26:40.6852247Z aten_sub_tensor_15: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(quantized_decomposed_dequantize_per_tensor_default_1634, quantized_decomposed_dequantize_per_tensor_default_1635); quantized_decomposed_dequantize_per_tensor_default_1634 = quantized_decomposed_dequantize_per_tensor_default_1635 = None 2025-06-05T23:26:40.6853111Z quantized_decomposed_quantize_per_tensor_default_1165: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sub_tensor_15, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_sub_tensor_15 = None 2025-06-05T23:26:40.6853186Z 2025-06-05T23:26:40.6854165Z # File: .74:4172 in forward, code: dequantize_per_tensor_default_1321 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1321, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantize_per_tensor_default_1321 = None 2025-06-05T23:26:40.6855353Z quantized_decomposed_dequantize_per_tensor_default_1636: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1165, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1165 = None 2025-06-05T23:26:40.6855464Z 2025-06-05T23:26:40.6855936Z # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos 2025-06-05T23:26:40.6857081Z aten_mul_tensor_113: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1616, quantized_decomposed_dequantize_per_tensor_default_1625); quantized_decomposed_dequantize_per_tensor_default_1616 = quantized_decomposed_dequantize_per_tensor_default_1625 = None 2025-06-05T23:26:40.6857967Z quantized_decomposed_quantize_per_tensor_default_1166: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_113, 0.00017923355335369706, 34002, 0, 65535, torch.int32); aten_mul_tensor_113 = None 2025-06-05T23:26:40.6859329Z quantized_decomposed_dequantize_per_tensor_default_1637: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1166, 0.00017923355335369706, 34002, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1166 = None 2025-06-05T23:26:40.6860495Z aten_mul_tensor_114: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1619, quantized_decomposed_dequantize_per_tensor_default_1620); quantized_decomposed_dequantize_per_tensor_default_1619 = quantized_decomposed_dequantize_per_tensor_default_1620 = None 2025-06-05T23:26:40.6861431Z quantized_decomposed_quantize_per_tensor_default_1167: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_114, 0.00034465600037947297, 38891, 0, 65535, torch.int32); aten_mul_tensor_114 = None 2025-06-05T23:26:40.6862603Z quantized_decomposed_dequantize_per_tensor_default_1638: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1167, 0.00034465600037947297, 38891, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1167 = None 2025-06-05T23:26:40.6863760Z aten_add_tensor_36: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_1637, quantized_decomposed_dequantize_per_tensor_default_1638); quantized_decomposed_dequantize_per_tensor_default_1637 = quantized_decomposed_dequantize_per_tensor_default_1638 = None 2025-06-05T23:26:40.6864656Z quantized_decomposed_quantize_per_tensor_default_1168: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_36, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_add_tensor_36 = None 2025-06-05T23:26:40.6864745Z 2025-06-05T23:26:40.6865707Z # File: .74:4181 in forward, code: dequantize_per_tensor_default_1324 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1324, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantize_per_tensor_default_1324 = None 2025-06-05T23:26:40.6866887Z quantized_decomposed_dequantize_per_tensor_default_1639: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1168, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1168 = None 2025-06-05T23:26:40.6866978Z 2025-06-05T23:26:40.6867501Z # File: /pytorch/executorch/examples/models/llama/rope.py:95 in apply_rotary_emb, code: xq_out = torch.stack([xq_out_r, xq_out_i], dim=-1).flatten(3) 2025-06-05T23:26:40.6868332Z aten_unsqueeze_copy_default_80: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1630, 4); quantized_decomposed_dequantize_per_tensor_default_1630 = None 2025-06-05T23:26:40.6869144Z aten_unsqueeze_copy_default_81: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1633, 4); quantized_decomposed_dequantize_per_tensor_default_1633 = None 2025-06-05T23:26:40.6869886Z aten_cat_default_28: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_unsqueeze_copy_default_80, aten_unsqueeze_copy_default_81], -1); aten_unsqueeze_copy_default_80 = aten_unsqueeze_copy_default_81 = None 2025-06-05T23:26:40.6870780Z quantized_decomposed_quantize_per_tensor_default_1169: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_28, 0.0003344771103002131, 30259, 0, 65535, torch.int32); aten_cat_default_28 = None 2025-06-05T23:26:40.6872027Z quantized_decomposed_dequantize_per_tensor_default_1640: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1169, 0.0003344771103002131, 30259, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1169 = None 2025-06-05T23:26:40.6873094Z aten_view_copy_default_133: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1640, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_1640 = None 2025-06-05T23:26:40.6874063Z quantized_decomposed_quantize_per_tensor_default_1170: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_133, 0.0003344771103002131, 30259, 0, 65535, torch.int32); aten_view_copy_default_133 = None 2025-06-05T23:26:40.6874139Z 2025-06-05T23:26:40.6875113Z # File: .74:4187 in forward, code: dequantize_per_tensor_default_1326 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1326, 0.0003344771103002131, 30259, 0, 65535, torch.int32); quantize_per_tensor_default_1326 = None 2025-06-05T23:26:40.6876287Z quantized_decomposed_dequantize_per_tensor_default_1641: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1170, 0.0003344771103002131, 30259, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1170 = None 2025-06-05T23:26:40.6876404Z 2025-06-05T23:26:40.6876939Z # File: /pytorch/executorch/examples/models/llama/rope.py:96 in apply_rotary_emb, code: xk_out = torch.stack([xk_out_r, xk_out_i], dim=-1).flatten(3) 2025-06-05T23:26:40.6877750Z aten_unsqueeze_copy_default_82: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1636, 4); quantized_decomposed_dequantize_per_tensor_default_1636 = None 2025-06-05T23:26:40.6878563Z aten_unsqueeze_copy_default_83: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1639, 4); quantized_decomposed_dequantize_per_tensor_default_1639 = None 2025-06-05T23:26:40.6879315Z aten_cat_default_29: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_unsqueeze_copy_default_82, aten_unsqueeze_copy_default_83], -1); aten_unsqueeze_copy_default_82 = aten_unsqueeze_copy_default_83 = None 2025-06-05T23:26:40.6880264Z quantized_decomposed_quantize_per_tensor_default_1171: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_29, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_cat_default_29 = None 2025-06-05T23:26:40.6881447Z quantized_decomposed_dequantize_per_tensor_default_1642: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1171, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1171 = None 2025-06-05T23:26:40.6882222Z aten_view_copy_default_134: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1642, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_1642 = None 2025-06-05T23:26:40.6883151Z quantized_decomposed_quantize_per_tensor_default_1172: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_134, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_view_copy_default_134 = None 2025-06-05T23:26:40.6883241Z 2025-06-05T23:26:40.6884201Z # File: .74:4193 in forward, code: dequantize_per_tensor_default_1328 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1328, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantize_per_tensor_default_1328 = None 2025-06-05T23:26:40.6885410Z quantized_decomposed_dequantize_per_tensor_default_1643: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1172, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1172 = None 2025-06-05T23:26:40.6885524Z 2025-06-05T23:26:40.6886288Z # File: .74:4195 in forward, code: quantize_per_tensor_default_1329 = torch.ops.quantized_decomposed.quantize_per_tensor.default(type_as_14, 0.0003344771103002131, 30259, 0, 65535, torch.int32); type_as_14 = None 2025-06-05T23:26:40.6887475Z quantized_decomposed_quantize_per_tensor_default_1173: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_1641, 0.0003344771103002131, 30259, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_1641 = None 2025-06-05T23:26:40.6887575Z 2025-06-05T23:26:40.6888108Z # File: /pytorch/executorch/examples/models/llama/attention.py:416 in forward, code: q = q.transpose(1, 2) # (bs, n_local_heads, seqlen, head_dim) 2025-06-05T23:26:40.6889296Z quantized_decomposed_dequantize_per_tensor_default_1644: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1173, 0.0003344771103002131, 30259, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1173 = None 2025-06-05T23:26:40.6889373Z 2025-06-05T23:26:40.6890139Z # File: .74:4198 in forward, code: quantize_per_tensor_default_1330 = torch.ops.quantized_decomposed.quantize_per_tensor.default(type_as_15, 0.00039715005550533533, 34049, 0, 65535, torch.int32); type_as_15 = None 2025-06-05T23:26:40.6891334Z quantized_decomposed_quantize_per_tensor_default_1174: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_1643, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_1643 = None 2025-06-05T23:26:40.6891414Z 2025-06-05T23:26:40.6892109Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:510 in update, code: k_out = torch.ops.aten.index_put_(self.past_k_caches, [None, input_pos], k_val) 2025-06-05T23:26:40.6893315Z quantized_decomposed_dequantize_per_tensor_default_1645: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1174, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1174 = None 2025-06-05T23:26:40.6893392Z 2025-06-05T23:26:40.6893937Z # File: /pytorch/executorch/examples/models/llama/attention.py:416 in forward, code: q = q.transpose(1, 2) # (bs, n_local_heads, seqlen, head_dim) 2025-06-05T23:26:40.6894746Z aten_permute_copy_default_293: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1644, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1644 = None 2025-06-05T23:26:40.6895700Z quantized_decomposed_quantize_per_tensor_default_1175: "i32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_293, 0.0003344771103002131, 30259, 0, 65535, torch.int32); aten_permute_copy_default_293 = None 2025-06-05T23:26:40.6895791Z 2025-06-05T23:26:40.6896368Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:324 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-06-05T23:26:40.6897565Z quantized_decomposed_dequantize_per_tensor_default_1646: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1175, 0.0003344771103002131, 30259, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1175 = None 2025-06-05T23:26:40.6897678Z 2025-06-05T23:26:40.6898113Z # File: /pytorch/executorch/examples/models/llama/attention.py:435 in forward, code: attn_mask = self.mask[input_pos] 2025-06-05T23:26:40.6898916Z aten_index_tensor_9: "f32[1, 128]" = executorch_exir_dialects_edge__ops_aten_index_Tensor(quantized_decomposed_dequantize_per_tensor_default_134, [attn_options_input_pos]); quantized_decomposed_dequantize_per_tensor_default_134 = None 2025-06-05T23:26:40.6899801Z quantized_decomposed_quantize_per_tensor_default_1176: "i32[1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_tensor_9, 0.0038910505827516317, 65535, 0, 65535, torch.int32); aten_index_tensor_9 = None 2025-06-05T23:26:40.6899902Z 2025-06-05T23:26:40.6900385Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:325 in forward, code: attn_weight += attn_mask 2025-06-05T23:26:40.6901567Z quantized_decomposed_dequantize_per_tensor_default_1647: "f32[1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1176, 0.0038910505827516317, 65535, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1176 = None 2025-06-05T23:26:40.6901644Z 2025-06-05T23:26:40.6902326Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:510 in update, code: k_out = torch.ops.aten.index_put_(self.past_k_caches, [None, input_pos], k_val) 2025-06-05T23:26:40.6903634Z aten_index_put_default_14: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(quantized_decomposed_dequantize_per_tensor_default_135, [None, attn_options_input_pos], quantized_decomposed_dequantize_per_tensor_default_1645); quantized_decomposed_dequantize_per_tensor_default_135 = quantized_decomposed_dequantize_per_tensor_default_1645 = None 2025-06-05T23:26:40.6904588Z quantized_decomposed_quantize_per_tensor_default_1177: "i32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_put_default_14, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_index_put_default_14 = None 2025-06-05T23:26:40.6904679Z 2025-06-05T23:26:40.6905483Z # File: .74:4208 in forward, code: dequantize_per_tensor_default_1333 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1333, 0.00039715005550533533, 34049, 0, 65535, torch.int32) 2025-06-05T23:26:40.6906428Z quantized_decomposed_dequantize_per_tensor_default_1648: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1177, 0.00039715005550533533, 34049, 0, 65535, torch.int32) 2025-06-05T23:26:40.6906530Z 2025-06-05T23:26:40.6907170Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.6908125Z quantized_decomposed_dequantize_per_tensor_default_1649: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1177, 0.00039715005550533533, 34049, 0, 65535, torch.int32) 2025-06-05T23:26:40.6909066Z quantized_decomposed_dequantize_per_tensor_default_1650: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1177, 0.00039715005550533533, 34049, 0, 65535, torch.int32) 2025-06-05T23:26:40.6910052Z quantized_decomposed_dequantize_per_tensor_default_1651: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1177, 0.00039715005550533533, 34049, 0, 65535, torch.int32) 2025-06-05T23:26:40.6911093Z quantized_decomposed_dequantize_per_tensor_default_1652: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1177, 0.00039715005550533533, 34049, 0, 65535, torch.int32) 2025-06-05T23:26:40.6912028Z quantized_decomposed_dequantize_per_tensor_default_1653: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1177, 0.00039715005550533533, 34049, 0, 65535, torch.int32) 2025-06-05T23:26:40.6913010Z quantized_decomposed_dequantize_per_tensor_default_1654: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1177, 0.00039715005550533533, 34049, 0, 65535, torch.int32) 2025-06-05T23:26:40.6913943Z quantized_decomposed_dequantize_per_tensor_default_1655: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1177, 0.00039715005550533533, 34049, 0, 65535, torch.int32) 2025-06-05T23:26:40.6914871Z quantized_decomposed_dequantize_per_tensor_default_1656: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1177, 0.00039715005550533533, 34049, 0, 65535, torch.int32) 2025-06-05T23:26:40.6915821Z quantized_decomposed_dequantize_per_tensor_default_1657: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1177, 0.00039715005550533533, 34049, 0, 65535, torch.int32) 2025-06-05T23:26:40.6916759Z quantized_decomposed_dequantize_per_tensor_default_1658: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1177, 0.00039715005550533533, 34049, 0, 65535, torch.int32) 2025-06-05T23:26:40.6917746Z quantized_decomposed_dequantize_per_tensor_default_1659: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1177, 0.00039715005550533533, 34049, 0, 65535, torch.int32) 2025-06-05T23:26:40.6918920Z quantized_decomposed_dequantize_per_tensor_default_1660: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1177, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1177 = None 2025-06-05T23:26:40.6919002Z 2025-06-05T23:26:40.6919688Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:511 in update, code: v_out = torch.ops.aten.index_put_(self.past_v_caches, [None, input_pos], v_val) 2025-06-05T23:26:40.6920995Z aten_index_put_default_15: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(quantized_decomposed_dequantize_per_tensor_default_136, [None, attn_options_input_pos], quantized_decomposed_dequantize_per_tensor_default_1609); quantized_decomposed_dequantize_per_tensor_default_136 = quantized_decomposed_dequantize_per_tensor_default_1609 = None 2025-06-05T23:26:40.6921961Z quantized_decomposed_quantize_per_tensor_default_1178: "i32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_put_default_15, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_index_put_default_15 = None 2025-06-05T23:26:40.6922063Z 2025-06-05T23:26:40.6922866Z # File: .74:4223 in forward, code: dequantize_per_tensor_default_1334 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1334, 0.0001613850035937503, 35011, 0, 65535, torch.int32) 2025-06-05T23:26:40.6923826Z quantized_decomposed_dequantize_per_tensor_default_1661: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1178, 0.0001613850035937503, 35011, 0, 65535, torch.int32) 2025-06-05T23:26:40.6923907Z 2025-06-05T23:26:40.6924547Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.6925523Z quantized_decomposed_dequantize_per_tensor_default_1662: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1178, 0.0001613850035937503, 35011, 0, 65535, torch.int32) 2025-06-05T23:26:40.6926466Z quantized_decomposed_dequantize_per_tensor_default_1663: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1178, 0.0001613850035937503, 35011, 0, 65535, torch.int32) 2025-06-05T23:26:40.6927414Z quantized_decomposed_dequantize_per_tensor_default_1664: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1178, 0.0001613850035937503, 35011, 0, 65535, torch.int32) 2025-06-05T23:26:40.6928348Z quantized_decomposed_dequantize_per_tensor_default_1665: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1178, 0.0001613850035937503, 35011, 0, 65535, torch.int32) 2025-06-05T23:26:40.6929307Z quantized_decomposed_dequantize_per_tensor_default_1666: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1178, 0.0001613850035937503, 35011, 0, 65535, torch.int32) 2025-06-05T23:26:40.6930254Z quantized_decomposed_dequantize_per_tensor_default_1667: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1178, 0.0001613850035937503, 35011, 0, 65535, torch.int32) 2025-06-05T23:26:40.6931308Z quantized_decomposed_dequantize_per_tensor_default_1668: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1178, 0.0001613850035937503, 35011, 0, 65535, torch.int32) 2025-06-05T23:26:40.6932267Z quantized_decomposed_dequantize_per_tensor_default_1669: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1178, 0.0001613850035937503, 35011, 0, 65535, torch.int32) 2025-06-05T23:26:40.6933201Z quantized_decomposed_dequantize_per_tensor_default_1670: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1178, 0.0001613850035937503, 35011, 0, 65535, torch.int32) 2025-06-05T23:26:40.6934158Z quantized_decomposed_dequantize_per_tensor_default_1671: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1178, 0.0001613850035937503, 35011, 0, 65535, torch.int32) 2025-06-05T23:26:40.6935129Z quantized_decomposed_dequantize_per_tensor_default_1672: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1178, 0.0001613850035937503, 35011, 0, 65535, torch.int32) 2025-06-05T23:26:40.6936307Z quantized_decomposed_dequantize_per_tensor_default_1673: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1178, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1178 = None 2025-06-05T23:26:40.6936396Z 2025-06-05T23:26:40.6937061Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.6937882Z aten_permute_copy_default_294: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1660, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1660 = None 2025-06-05T23:26:40.6938860Z quantized_decomposed_quantize_per_tensor_default_1179: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_294, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_permute_copy_default_294 = None 2025-06-05T23:26:40.6940035Z quantized_decomposed_dequantize_per_tensor_default_1674: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1179, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1179 = None 2025-06-05T23:26:40.6940805Z aten_select_copy_int_336: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1674, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1674 = None 2025-06-05T23:26:40.6941745Z quantized_decomposed_quantize_per_tensor_default_1180: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_336, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_select_copy_int_336 = None 2025-06-05T23:26:40.6942918Z quantized_decomposed_dequantize_per_tensor_default_1675: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1180, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1180 = None 2025-06-05T23:26:40.6943677Z aten_select_copy_int_337: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1675, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1675 = None 2025-06-05T23:26:40.6944586Z quantized_decomposed_quantize_per_tensor_default_1181: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_337, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_select_copy_int_337 = None 2025-06-05T23:26:40.6944678Z 2025-06-05T23:26:40.6945636Z # File: .74:4244 in forward, code: dequantize_per_tensor_default_1337 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1337, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantize_per_tensor_default_1337 = None 2025-06-05T23:26:40.6946838Z quantized_decomposed_dequantize_per_tensor_default_1676: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1181, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1181 = None 2025-06-05T23:26:40.6946952Z 2025-06-05T23:26:40.6947589Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.6948403Z aten_permute_copy_default_295: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1659, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1659 = None 2025-06-05T23:26:40.6949376Z quantized_decomposed_quantize_per_tensor_default_1182: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_295, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_permute_copy_default_295 = None 2025-06-05T23:26:40.6950576Z quantized_decomposed_dequantize_per_tensor_default_1677: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1182, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1182 = None 2025-06-05T23:26:40.6951410Z aten_select_copy_int_338: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1677, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1677 = None 2025-06-05T23:26:40.6952324Z quantized_decomposed_quantize_per_tensor_default_1183: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_338, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_select_copy_int_338 = None 2025-06-05T23:26:40.6953520Z quantized_decomposed_dequantize_per_tensor_default_1678: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1183, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1183 = None 2025-06-05T23:26:40.6954296Z aten_select_copy_int_339: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1678, 0, 1); quantized_decomposed_dequantize_per_tensor_default_1678 = None 2025-06-05T23:26:40.6955202Z quantized_decomposed_quantize_per_tensor_default_1184: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_339, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_select_copy_int_339 = None 2025-06-05T23:26:40.6955295Z 2025-06-05T23:26:40.6956261Z # File: .74:4253 in forward, code: dequantize_per_tensor_default_1340 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1340, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantize_per_tensor_default_1340 = None 2025-06-05T23:26:40.6957446Z quantized_decomposed_dequantize_per_tensor_default_1679: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1184, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1184 = None 2025-06-05T23:26:40.6957536Z 2025-06-05T23:26:40.6958176Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.6959027Z aten_permute_copy_default_296: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1658, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1658 = None 2025-06-05T23:26:40.6960012Z quantized_decomposed_quantize_per_tensor_default_1185: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_296, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_permute_copy_default_296 = None 2025-06-05T23:26:40.6961187Z quantized_decomposed_dequantize_per_tensor_default_1680: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1185, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1185 = None 2025-06-05T23:26:40.6961990Z aten_select_copy_int_340: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1680, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1680 = None 2025-06-05T23:26:40.6962907Z quantized_decomposed_quantize_per_tensor_default_1186: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_340, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_select_copy_int_340 = None 2025-06-05T23:26:40.6964099Z quantized_decomposed_dequantize_per_tensor_default_1681: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1186, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1186 = None 2025-06-05T23:26:40.6964849Z aten_select_copy_int_341: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1681, 0, 2); quantized_decomposed_dequantize_per_tensor_default_1681 = None 2025-06-05T23:26:40.6965758Z quantized_decomposed_quantize_per_tensor_default_1187: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_341, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_select_copy_int_341 = None 2025-06-05T23:26:40.6965848Z 2025-06-05T23:26:40.6966835Z # File: .74:4262 in forward, code: dequantize_per_tensor_default_1343 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1343, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantize_per_tensor_default_1343 = None 2025-06-05T23:26:40.6968022Z quantized_decomposed_dequantize_per_tensor_default_1682: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1187, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1187 = None 2025-06-05T23:26:40.6968103Z 2025-06-05T23:26:40.6968741Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.6969572Z aten_permute_copy_default_297: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1657, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1657 = None 2025-06-05T23:26:40.6970526Z quantized_decomposed_quantize_per_tensor_default_1188: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_297, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_permute_copy_default_297 = None 2025-06-05T23:26:40.6971759Z quantized_decomposed_dequantize_per_tensor_default_1683: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1188, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1188 = None 2025-06-05T23:26:40.6972523Z aten_select_copy_int_342: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1683, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1683 = None 2025-06-05T23:26:40.6973681Z quantized_decomposed_quantize_per_tensor_default_1189: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_342, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_select_copy_int_342 = None 2025-06-05T23:26:40.6974941Z quantized_decomposed_dequantize_per_tensor_default_1684: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1189, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1189 = None 2025-06-05T23:26:40.6975687Z aten_select_copy_int_343: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1684, 0, 3); quantized_decomposed_dequantize_per_tensor_default_1684 = None 2025-06-05T23:26:40.6976603Z quantized_decomposed_quantize_per_tensor_default_1190: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_343, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_select_copy_int_343 = None 2025-06-05T23:26:40.6976695Z 2025-06-05T23:26:40.6977652Z # File: .74:4271 in forward, code: dequantize_per_tensor_default_1346 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1346, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantize_per_tensor_default_1346 = None 2025-06-05T23:26:40.6978885Z quantized_decomposed_dequantize_per_tensor_default_1685: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1190, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1190 = None 2025-06-05T23:26:40.6978966Z 2025-06-05T23:26:40.6979606Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.6980430Z aten_permute_copy_default_298: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1656, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1656 = None 2025-06-05T23:26:40.6981396Z quantized_decomposed_quantize_per_tensor_default_1191: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_298, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_permute_copy_default_298 = None 2025-06-05T23:26:40.6982587Z quantized_decomposed_dequantize_per_tensor_default_1686: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1191, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1191 = None 2025-06-05T23:26:40.6983389Z aten_select_copy_int_344: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1686, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1686 = None 2025-06-05T23:26:40.6984339Z quantized_decomposed_quantize_per_tensor_default_1192: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_344, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_select_copy_int_344 = None 2025-06-05T23:26:40.6985530Z quantized_decomposed_dequantize_per_tensor_default_1687: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1192, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1192 = None 2025-06-05T23:26:40.6986267Z aten_select_copy_int_345: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1687, 0, 4); quantized_decomposed_dequantize_per_tensor_default_1687 = None 2025-06-05T23:26:40.6987213Z quantized_decomposed_quantize_per_tensor_default_1193: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_345, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_select_copy_int_345 = None 2025-06-05T23:26:40.6987290Z 2025-06-05T23:26:40.6988250Z # File: .74:4280 in forward, code: dequantize_per_tensor_default_1349 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1349, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantize_per_tensor_default_1349 = None 2025-06-05T23:26:40.6989435Z quantized_decomposed_dequantize_per_tensor_default_1688: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1193, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1193 = None 2025-06-05T23:26:40.6989519Z 2025-06-05T23:26:40.6990161Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.6991090Z aten_permute_copy_default_299: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1655, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1655 = None 2025-06-05T23:26:40.6992059Z quantized_decomposed_quantize_per_tensor_default_1194: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_299, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_permute_copy_default_299 = None 2025-06-05T23:26:40.6993253Z quantized_decomposed_dequantize_per_tensor_default_1689: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1194, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1194 = None 2025-06-05T23:26:40.6994002Z aten_select_copy_int_346: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1689, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1689 = None 2025-06-05T23:26:40.6994909Z quantized_decomposed_quantize_per_tensor_default_1195: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_346, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_select_copy_int_346 = None 2025-06-05T23:26:40.6996127Z quantized_decomposed_dequantize_per_tensor_default_1690: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1195, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1195 = None 2025-06-05T23:26:40.6996898Z aten_select_copy_int_347: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1690, 0, 5); quantized_decomposed_dequantize_per_tensor_default_1690 = None 2025-06-05T23:26:40.6997812Z quantized_decomposed_quantize_per_tensor_default_1196: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_347, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_select_copy_int_347 = None 2025-06-05T23:26:40.6997889Z 2025-06-05T23:26:40.6998889Z # File: .74:4289 in forward, code: dequantize_per_tensor_default_1352 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1352, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantize_per_tensor_default_1352 = None 2025-06-05T23:26:40.7000071Z quantized_decomposed_dequantize_per_tensor_default_1691: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1196, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1196 = None 2025-06-05T23:26:40.7000151Z 2025-06-05T23:26:40.7000790Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.7001617Z aten_permute_copy_default_300: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1654, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1654 = None 2025-06-05T23:26:40.7002583Z quantized_decomposed_quantize_per_tensor_default_1197: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_300, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_permute_copy_default_300 = None 2025-06-05T23:26:40.7003800Z quantized_decomposed_dequantize_per_tensor_default_1692: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1197, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1197 = None 2025-06-05T23:26:40.7004542Z aten_select_copy_int_348: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1692, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1692 = None 2025-06-05T23:26:40.7005459Z quantized_decomposed_quantize_per_tensor_default_1198: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_348, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_select_copy_int_348 = None 2025-06-05T23:26:40.7006646Z quantized_decomposed_dequantize_per_tensor_default_1693: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1198, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1198 = None 2025-06-05T23:26:40.7007387Z aten_select_copy_int_349: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1693, 0, 6); quantized_decomposed_dequantize_per_tensor_default_1693 = None 2025-06-05T23:26:40.7008337Z quantized_decomposed_quantize_per_tensor_default_1199: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_349, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_select_copy_int_349 = None 2025-06-05T23:26:40.7008450Z 2025-06-05T23:26:40.7009410Z # File: .74:4298 in forward, code: dequantize_per_tensor_default_1355 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1355, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantize_per_tensor_default_1355 = None 2025-06-05T23:26:40.7010594Z quantized_decomposed_dequantize_per_tensor_default_1694: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1199, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1199 = None 2025-06-05T23:26:40.7010698Z 2025-06-05T23:26:40.7011339Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.7012165Z aten_permute_copy_default_301: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1653, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1653 = None 2025-06-05T23:26:40.7013125Z quantized_decomposed_quantize_per_tensor_default_1200: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_301, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_permute_copy_default_301 = None 2025-06-05T23:26:40.7014312Z quantized_decomposed_dequantize_per_tensor_default_1695: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1200, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1200 = None 2025-06-05T23:26:40.7015057Z aten_select_copy_int_350: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1695, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1695 = None 2025-06-05T23:26:40.7016011Z quantized_decomposed_quantize_per_tensor_default_1201: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_350, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_select_copy_int_350 = None 2025-06-05T23:26:40.7017186Z quantized_decomposed_dequantize_per_tensor_default_1696: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1201, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1201 = None 2025-06-05T23:26:40.7017938Z aten_select_copy_int_351: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1696, 0, 7); quantized_decomposed_dequantize_per_tensor_default_1696 = None 2025-06-05T23:26:40.7018851Z quantized_decomposed_quantize_per_tensor_default_1202: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_351, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_select_copy_int_351 = None 2025-06-05T23:26:40.7018929Z 2025-06-05T23:26:40.7019882Z # File: .74:4307 in forward, code: dequantize_per_tensor_default_1358 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1358, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantize_per_tensor_default_1358 = None 2025-06-05T23:26:40.7021123Z quantized_decomposed_dequantize_per_tensor_default_1697: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1202, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1202 = None 2025-06-05T23:26:40.7021198Z 2025-06-05T23:26:40.7021848Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.7022660Z aten_permute_copy_default_302: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1652, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1652 = None 2025-06-05T23:26:40.7023652Z quantized_decomposed_quantize_per_tensor_default_1203: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_302, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_permute_copy_default_302 = None 2025-06-05T23:26:40.7024846Z quantized_decomposed_dequantize_per_tensor_default_1698: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1203, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1203 = None 2025-06-05T23:26:40.7025588Z aten_select_copy_int_352: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1698, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1698 = None 2025-06-05T23:26:40.7026513Z quantized_decomposed_quantize_per_tensor_default_1204: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_352, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_select_copy_int_352 = None 2025-06-05T23:26:40.7027713Z quantized_decomposed_dequantize_per_tensor_default_1699: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1204, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1204 = None 2025-06-05T23:26:40.7028456Z aten_select_copy_int_353: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1699, 0, 8); quantized_decomposed_dequantize_per_tensor_default_1699 = None 2025-06-05T23:26:40.7029379Z quantized_decomposed_quantize_per_tensor_default_1205: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_353, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_select_copy_int_353 = None 2025-06-05T23:26:40.7029457Z 2025-06-05T23:26:40.7030427Z # File: .74:4316 in forward, code: dequantize_per_tensor_default_1361 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1361, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantize_per_tensor_default_1361 = None 2025-06-05T23:26:40.7031667Z quantized_decomposed_dequantize_per_tensor_default_1700: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1205, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1205 = None 2025-06-05T23:26:40.7031746Z 2025-06-05T23:26:40.7032430Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.7033273Z aten_permute_copy_default_303: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1651, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1651 = None 2025-06-05T23:26:40.7034235Z quantized_decomposed_quantize_per_tensor_default_1206: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_303, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_permute_copy_default_303 = None 2025-06-05T23:26:40.7035422Z quantized_decomposed_dequantize_per_tensor_default_1701: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1206, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1206 = None 2025-06-05T23:26:40.7036201Z aten_select_copy_int_354: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1701, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1701 = None 2025-06-05T23:26:40.7037125Z quantized_decomposed_quantize_per_tensor_default_1207: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_354, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_select_copy_int_354 = None 2025-06-05T23:26:40.7038293Z quantized_decomposed_dequantize_per_tensor_default_1702: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1207, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1207 = None 2025-06-05T23:26:40.7039050Z aten_select_copy_int_355: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1702, 0, 9); quantized_decomposed_dequantize_per_tensor_default_1702 = None 2025-06-05T23:26:40.7039989Z quantized_decomposed_quantize_per_tensor_default_1208: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_355, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_select_copy_int_355 = None 2025-06-05T23:26:40.7040066Z 2025-06-05T23:26:40.7041039Z # File: .74:4325 in forward, code: dequantize_per_tensor_default_1364 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1364, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantize_per_tensor_default_1364 = None 2025-06-05T23:26:40.7042213Z quantized_decomposed_dequantize_per_tensor_default_1703: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1208, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1208 = None 2025-06-05T23:26:40.7042291Z 2025-06-05T23:26:40.7042949Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.7043763Z aten_permute_copy_default_304: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1650, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1650 = None 2025-06-05T23:26:40.7044757Z quantized_decomposed_quantize_per_tensor_default_1209: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_304, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_permute_copy_default_304 = None 2025-06-05T23:26:40.7045973Z quantized_decomposed_dequantize_per_tensor_default_1704: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1209, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1209 = None 2025-06-05T23:26:40.7046722Z aten_select_copy_int_356: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1704, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1704 = None 2025-06-05T23:26:40.7047639Z quantized_decomposed_quantize_per_tensor_default_1210: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_356, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_select_copy_int_356 = None 2025-06-05T23:26:40.7049157Z quantized_decomposed_dequantize_per_tensor_default_1705: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1210, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1210 = None 2025-06-05T23:26:40.7049935Z aten_select_copy_int_357: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1705, 0, 10); quantized_decomposed_dequantize_per_tensor_default_1705 = None 2025-06-05T23:26:40.7050901Z quantized_decomposed_quantize_per_tensor_default_1211: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_357, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_select_copy_int_357 = None 2025-06-05T23:26:40.7051058Z 2025-06-05T23:26:40.7052046Z # File: .74:4334 in forward, code: dequantize_per_tensor_default_1367 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1367, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantize_per_tensor_default_1367 = None 2025-06-05T23:26:40.7053333Z quantized_decomposed_dequantize_per_tensor_default_1706: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1211, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1211 = None 2025-06-05T23:26:40.7059780Z 2025-06-05T23:26:40.7060489Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.7061328Z aten_permute_copy_default_305: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1649, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1649 = None 2025-06-05T23:26:40.7062311Z quantized_decomposed_quantize_per_tensor_default_1212: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_305, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_permute_copy_default_305 = None 2025-06-05T23:26:40.7063499Z quantized_decomposed_dequantize_per_tensor_default_1707: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1212, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1212 = None 2025-06-05T23:26:40.7064391Z aten_select_copy_int_358: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1707, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1707 = None 2025-06-05T23:26:40.7065307Z quantized_decomposed_quantize_per_tensor_default_1213: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_358, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_select_copy_int_358 = None 2025-06-05T23:26:40.7066500Z quantized_decomposed_dequantize_per_tensor_default_1708: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1213, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1213 = None 2025-06-05T23:26:40.7067284Z aten_select_copy_int_359: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1708, 0, 11); quantized_decomposed_dequantize_per_tensor_default_1708 = None 2025-06-05T23:26:40.7068199Z quantized_decomposed_quantize_per_tensor_default_1214: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_359, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_select_copy_int_359 = None 2025-06-05T23:26:40.7068294Z 2025-06-05T23:26:40.7069258Z # File: .74:4343 in forward, code: dequantize_per_tensor_default_1370 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1370, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantize_per_tensor_default_1370 = None 2025-06-05T23:26:40.7070437Z quantized_decomposed_dequantize_per_tensor_default_1709: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1214, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1214 = None 2025-06-05T23:26:40.7070533Z 2025-06-05T23:26:40.7071282Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.7077310Z aten_cat_default_30: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([quantized_decomposed_dequantize_per_tensor_default_1676, quantized_decomposed_dequantize_per_tensor_default_1679, quantized_decomposed_dequantize_per_tensor_default_1682, quantized_decomposed_dequantize_per_tensor_default_1685, quantized_decomposed_dequantize_per_tensor_default_1688, quantized_decomposed_dequantize_per_tensor_default_1691, quantized_decomposed_dequantize_per_tensor_default_1694, quantized_decomposed_dequantize_per_tensor_default_1697, quantized_decomposed_dequantize_per_tensor_default_1700, quantized_decomposed_dequantize_per_tensor_default_1703, quantized_decomposed_dequantize_per_tensor_default_1706, quantized_decomposed_dequantize_per_tensor_default_1709]); quantized_decomposed_dequantize_per_tensor_default_1676 = quantized_decomposed_dequantize_per_tensor_default_1679 = quantized_decomposed_dequantize_per_tensor_default_1682 = quantized_decomposed_dequantize_per_tensor_default_1685 = quantized_decomposed_dequantize_per_tensor_default_1688 = quantized_decomposed_dequantize_per_tensor_default_1691 = quantized_decomposed_dequantize_per_tensor_default_1694 = quantized_decomposed_dequantize_per_tensor_default_1697 = quantized_decomposed_dequantize_per_tensor_default_1700 = quantized_decomposed_dequantize_per_tensor_default_1703 = quantized_decomposed_dequantize_per_tensor_default_1706 = quantized_decomposed_dequantize_per_tensor_default_1709 = None 2025-06-05T23:26:40.7078300Z quantized_decomposed_quantize_per_tensor_default_1215: "i32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_30, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_cat_default_30 = None 2025-06-05T23:26:40.7079482Z quantized_decomposed_dequantize_per_tensor_default_1710: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1215, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1215 = None 2025-06-05T23:26:40.7080276Z aten_view_copy_default_135: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1710, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_1710 = None 2025-06-05T23:26:40.7081256Z quantized_decomposed_quantize_per_tensor_default_1216: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_135, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_view_copy_default_135 = None 2025-06-05T23:26:40.7081337Z 2025-06-05T23:26:40.7081923Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:324 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-06-05T23:26:40.7083130Z quantized_decomposed_dequantize_per_tensor_default_1711: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1216, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1216 = None 2025-06-05T23:26:40.7083211Z 2025-06-05T23:26:40.7083852Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.7084683Z aten_permute_copy_default_306: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1673, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1673 = None 2025-06-05T23:26:40.7085661Z quantized_decomposed_quantize_per_tensor_default_1217: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_306, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_permute_copy_default_306 = None 2025-06-05T23:26:40.7086855Z quantized_decomposed_dequantize_per_tensor_default_1712: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1217, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1217 = None 2025-06-05T23:26:40.7087618Z aten_select_copy_int_360: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1712, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1712 = None 2025-06-05T23:26:40.7088539Z quantized_decomposed_quantize_per_tensor_default_1218: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_360, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_select_copy_int_360 = None 2025-06-05T23:26:40.7089698Z quantized_decomposed_dequantize_per_tensor_default_1713: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1218, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1218 = None 2025-06-05T23:26:40.7090497Z aten_select_copy_int_361: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1713, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1713 = None 2025-06-05T23:26:40.7091412Z quantized_decomposed_quantize_per_tensor_default_1219: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_361, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_select_copy_int_361 = None 2025-06-05T23:26:40.7091488Z 2025-06-05T23:26:40.7092443Z # File: .74:4358 in forward, code: dequantize_per_tensor_default_1375 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1375, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantize_per_tensor_default_1375 = None 2025-06-05T23:26:40.7093649Z quantized_decomposed_dequantize_per_tensor_default_1714: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1219, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1219 = None 2025-06-05T23:26:40.7093726Z 2025-06-05T23:26:40.7094380Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.7095193Z aten_permute_copy_default_307: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1672, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1672 = None 2025-06-05T23:26:40.7096145Z quantized_decomposed_quantize_per_tensor_default_1220: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_307, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_permute_copy_default_307 = None 2025-06-05T23:26:40.7097362Z quantized_decomposed_dequantize_per_tensor_default_1715: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1220, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1220 = None 2025-06-05T23:26:40.7098111Z aten_select_copy_int_362: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1715, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1715 = None 2025-06-05T23:26:40.7099027Z quantized_decomposed_quantize_per_tensor_default_1221: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_362, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_select_copy_int_362 = None 2025-06-05T23:26:40.7100201Z quantized_decomposed_dequantize_per_tensor_default_1716: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1221, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1221 = None 2025-06-05T23:26:40.7100950Z aten_select_copy_int_363: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1716, 0, 1); quantized_decomposed_dequantize_per_tensor_default_1716 = None 2025-06-05T23:26:40.7101864Z quantized_decomposed_quantize_per_tensor_default_1222: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_363, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_select_copy_int_363 = None 2025-06-05T23:26:40.7101967Z 2025-06-05T23:26:40.7102969Z # File: .74:4367 in forward, code: dequantize_per_tensor_default_1378 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1378, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantize_per_tensor_default_1378 = None 2025-06-05T23:26:40.7104137Z quantized_decomposed_dequantize_per_tensor_default_1717: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1222, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1222 = None 2025-06-05T23:26:40.7104213Z 2025-06-05T23:26:40.7104868Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.7105712Z aten_permute_copy_default_308: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1671, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1671 = None 2025-06-05T23:26:40.7106674Z quantized_decomposed_quantize_per_tensor_default_1223: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_308, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_permute_copy_default_308 = None 2025-06-05T23:26:40.7107854Z quantized_decomposed_dequantize_per_tensor_default_1718: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1223, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1223 = None 2025-06-05T23:26:40.7108604Z aten_select_copy_int_364: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1718, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1718 = None 2025-06-05T23:26:40.7109554Z quantized_decomposed_quantize_per_tensor_default_1224: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_364, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_select_copy_int_364 = None 2025-06-05T23:26:40.7110737Z quantized_decomposed_dequantize_per_tensor_default_1719: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1224, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1224 = None 2025-06-05T23:26:40.7111566Z aten_select_copy_int_365: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1719, 0, 2); quantized_decomposed_dequantize_per_tensor_default_1719 = None 2025-06-05T23:26:40.7112466Z quantized_decomposed_quantize_per_tensor_default_1225: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_365, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_select_copy_int_365 = None 2025-06-05T23:26:40.7112543Z 2025-06-05T23:26:40.7113511Z # File: .74:4376 in forward, code: dequantize_per_tensor_default_1381 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1381, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantize_per_tensor_default_1381 = None 2025-06-05T23:26:40.7114713Z quantized_decomposed_dequantize_per_tensor_default_1720: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1225, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1225 = None 2025-06-05T23:26:40.7114814Z 2025-06-05T23:26:40.7115465Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.7116277Z aten_permute_copy_default_309: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1670, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1670 = None 2025-06-05T23:26:40.7117228Z quantized_decomposed_quantize_per_tensor_default_1226: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_309, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_permute_copy_default_309 = None 2025-06-05T23:26:40.7118445Z quantized_decomposed_dequantize_per_tensor_default_1721: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1226, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1226 = None 2025-06-05T23:26:40.7119193Z aten_select_copy_int_366: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1721, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1721 = None 2025-06-05T23:26:40.7120122Z quantized_decomposed_quantize_per_tensor_default_1227: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_366, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_select_copy_int_366 = None 2025-06-05T23:26:40.7121292Z quantized_decomposed_dequantize_per_tensor_default_1722: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1227, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1227 = None 2025-06-05T23:26:40.7122072Z aten_select_copy_int_367: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1722, 0, 3); quantized_decomposed_dequantize_per_tensor_default_1722 = None 2025-06-05T23:26:40.7122977Z quantized_decomposed_quantize_per_tensor_default_1228: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_367, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_select_copy_int_367 = None 2025-06-05T23:26:40.7123058Z 2025-06-05T23:26:40.7124027Z # File: .74:4385 in forward, code: dequantize_per_tensor_default_1384 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1384, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantize_per_tensor_default_1384 = None 2025-06-05T23:26:40.7125192Z quantized_decomposed_dequantize_per_tensor_default_1723: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1228, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1228 = None 2025-06-05T23:26:40.7125269Z 2025-06-05T23:26:40.7125918Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.7126756Z aten_permute_copy_default_310: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1669, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1669 = None 2025-06-05T23:26:40.7127747Z quantized_decomposed_quantize_per_tensor_default_1229: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_310, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_permute_copy_default_310 = None 2025-06-05T23:26:40.7128921Z quantized_decomposed_dequantize_per_tensor_default_1724: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1229, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1229 = None 2025-06-05T23:26:40.7129693Z aten_select_copy_int_368: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1724, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1724 = None 2025-06-05T23:26:40.7130613Z quantized_decomposed_quantize_per_tensor_default_1230: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_368, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_select_copy_int_368 = None 2025-06-05T23:26:40.7131776Z quantized_decomposed_dequantize_per_tensor_default_1725: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1230, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1230 = None 2025-06-05T23:26:40.7132528Z aten_select_copy_int_369: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1725, 0, 4); quantized_decomposed_dequantize_per_tensor_default_1725 = None 2025-06-05T23:26:40.7133432Z quantized_decomposed_quantize_per_tensor_default_1231: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_369, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_select_copy_int_369 = None 2025-06-05T23:26:40.7133512Z 2025-06-05T23:26:40.7134502Z # File: .74:4394 in forward, code: dequantize_per_tensor_default_1387 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1387, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantize_per_tensor_default_1387 = None 2025-06-05T23:26:40.7135676Z quantized_decomposed_dequantize_per_tensor_default_1726: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1231, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1231 = None 2025-06-05T23:26:40.7135766Z 2025-06-05T23:26:40.7136404Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.7137215Z aten_permute_copy_default_311: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1668, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1668 = None 2025-06-05T23:26:40.7138182Z quantized_decomposed_quantize_per_tensor_default_1232: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_311, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_permute_copy_default_311 = None 2025-06-05T23:26:40.7139384Z quantized_decomposed_dequantize_per_tensor_default_1727: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1232, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1232 = None 2025-06-05T23:26:40.7140153Z aten_select_copy_int_370: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1727, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1727 = None 2025-06-05T23:26:40.7141069Z quantized_decomposed_quantize_per_tensor_default_1233: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_370, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_select_copy_int_370 = None 2025-06-05T23:26:40.7142263Z quantized_decomposed_dequantize_per_tensor_default_1728: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1233, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1233 = None 2025-06-05T23:26:40.7143018Z aten_select_copy_int_371: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1728, 0, 5); quantized_decomposed_dequantize_per_tensor_default_1728 = None 2025-06-05T23:26:40.7143930Z quantized_decomposed_quantize_per_tensor_default_1234: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_371, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_select_copy_int_371 = None 2025-06-05T23:26:40.7144004Z 2025-06-05T23:26:40.7144969Z # File: .74:4403 in forward, code: dequantize_per_tensor_default_1390 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1390, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantize_per_tensor_default_1390 = None 2025-06-05T23:26:40.7146160Z quantized_decomposed_dequantize_per_tensor_default_1729: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1234, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1234 = None 2025-06-05T23:26:40.7146248Z 2025-06-05T23:26:40.7146884Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.7147696Z aten_permute_copy_default_312: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1667, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1667 = None 2025-06-05T23:26:40.7148671Z quantized_decomposed_quantize_per_tensor_default_1235: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_312, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_permute_copy_default_312 = None 2025-06-05T23:26:40.7149849Z quantized_decomposed_dequantize_per_tensor_default_1730: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1235, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1235 = None 2025-06-05T23:26:40.7150604Z aten_select_copy_int_372: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1730, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1730 = None 2025-06-05T23:26:40.7151642Z quantized_decomposed_quantize_per_tensor_default_1236: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_372, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_select_copy_int_372 = None 2025-06-05T23:26:40.7152820Z quantized_decomposed_dequantize_per_tensor_default_1731: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1236, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1236 = None 2025-06-05T23:26:40.7153580Z aten_select_copy_int_373: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1731, 0, 6); quantized_decomposed_dequantize_per_tensor_default_1731 = None 2025-06-05T23:26:40.7154508Z quantized_decomposed_quantize_per_tensor_default_1237: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_373, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_select_copy_int_373 = None 2025-06-05T23:26:40.7154605Z 2025-06-05T23:26:40.7155556Z # File: .74:4412 in forward, code: dequantize_per_tensor_default_1393 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1393, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantize_per_tensor_default_1393 = None 2025-06-05T23:26:40.7156720Z quantized_decomposed_dequantize_per_tensor_default_1732: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1237, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1237 = None 2025-06-05T23:26:40.7156814Z 2025-06-05T23:26:40.7157460Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.7158299Z aten_permute_copy_default_313: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1666, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1666 = None 2025-06-05T23:26:40.7159269Z quantized_decomposed_quantize_per_tensor_default_1238: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_313, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_permute_copy_default_313 = None 2025-06-05T23:26:40.7160448Z quantized_decomposed_dequantize_per_tensor_default_1733: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1238, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1238 = None 2025-06-05T23:26:40.7161209Z aten_select_copy_int_374: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1733, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1733 = None 2025-06-05T23:26:40.7162112Z quantized_decomposed_quantize_per_tensor_default_1239: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_374, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_select_copy_int_374 = None 2025-06-05T23:26:40.7163294Z quantized_decomposed_dequantize_per_tensor_default_1734: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1239, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1239 = None 2025-06-05T23:26:40.7164070Z aten_select_copy_int_375: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1734, 0, 7); quantized_decomposed_dequantize_per_tensor_default_1734 = None 2025-06-05T23:26:40.7164979Z quantized_decomposed_quantize_per_tensor_default_1240: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_375, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_select_copy_int_375 = None 2025-06-05T23:26:40.7165072Z 2025-06-05T23:26:40.7166024Z # File: .74:4421 in forward, code: dequantize_per_tensor_default_1396 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1396, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantize_per_tensor_default_1396 = None 2025-06-05T23:26:40.7167230Z quantized_decomposed_dequantize_per_tensor_default_1735: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1240, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1240 = None 2025-06-05T23:26:40.7167320Z 2025-06-05T23:26:40.7167964Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.7168781Z aten_permute_copy_default_314: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1665, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1665 = None 2025-06-05T23:26:40.7169753Z quantized_decomposed_quantize_per_tensor_default_1241: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_314, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_permute_copy_default_314 = None 2025-06-05T23:26:40.7170954Z quantized_decomposed_dequantize_per_tensor_default_1736: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1241, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1241 = None 2025-06-05T23:26:40.7171718Z aten_select_copy_int_376: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1736, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1736 = None 2025-06-05T23:26:40.7172806Z quantized_decomposed_quantize_per_tensor_default_1242: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_376, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_select_copy_int_376 = None 2025-06-05T23:26:40.7174061Z quantized_decomposed_dequantize_per_tensor_default_1737: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1242, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1242 = None 2025-06-05T23:26:40.7174802Z aten_select_copy_int_377: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1737, 0, 8); quantized_decomposed_dequantize_per_tensor_default_1737 = None 2025-06-05T23:26:40.7175782Z quantized_decomposed_quantize_per_tensor_default_1243: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_377, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_select_copy_int_377 = None 2025-06-05T23:26:40.7175916Z 2025-06-05T23:26:40.7176873Z # File: .74:4430 in forward, code: dequantize_per_tensor_default_1399 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1399, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantize_per_tensor_default_1399 = None 2025-06-05T23:26:40.7178050Z quantized_decomposed_dequantize_per_tensor_default_1738: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1243, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1243 = None 2025-06-05T23:26:40.7178179Z 2025-06-05T23:26:40.7178819Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.7179629Z aten_permute_copy_default_315: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1664, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1664 = None 2025-06-05T23:26:40.7180603Z quantized_decomposed_quantize_per_tensor_default_1244: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_315, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_permute_copy_default_315 = None 2025-06-05T23:26:40.7181775Z quantized_decomposed_dequantize_per_tensor_default_1739: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1244, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1244 = None 2025-06-05T23:26:40.7182534Z aten_select_copy_int_378: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1739, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1739 = None 2025-06-05T23:26:40.7183475Z quantized_decomposed_quantize_per_tensor_default_1245: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_378, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_select_copy_int_378 = None 2025-06-05T23:26:40.7184658Z quantized_decomposed_dequantize_per_tensor_default_1740: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1245, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1245 = None 2025-06-05T23:26:40.7185407Z aten_select_copy_int_379: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1740, 0, 9); quantized_decomposed_dequantize_per_tensor_default_1740 = None 2025-06-05T23:26:40.7186308Z quantized_decomposed_quantize_per_tensor_default_1246: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_379, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_select_copy_int_379 = None 2025-06-05T23:26:40.7186395Z 2025-06-05T23:26:40.7187342Z # File: .74:4439 in forward, code: dequantize_per_tensor_default_1402 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1402, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantize_per_tensor_default_1402 = None 2025-06-05T23:26:40.7188546Z quantized_decomposed_dequantize_per_tensor_default_1741: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1246, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1246 = None 2025-06-05T23:26:40.7188663Z 2025-06-05T23:26:40.7189306Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.7190128Z aten_permute_copy_default_316: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1663, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1663 = None 2025-06-05T23:26:40.7191299Z quantized_decomposed_quantize_per_tensor_default_1247: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_316, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_permute_copy_default_316 = None 2025-06-05T23:26:40.7192479Z quantized_decomposed_dequantize_per_tensor_default_1742: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1247, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1247 = None 2025-06-05T23:26:40.7193239Z aten_select_copy_int_380: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1742, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1742 = None 2025-06-05T23:26:40.7194153Z quantized_decomposed_quantize_per_tensor_default_1248: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_380, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_select_copy_int_380 = None 2025-06-05T23:26:40.7195338Z quantized_decomposed_dequantize_per_tensor_default_1743: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1248, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1248 = None 2025-06-05T23:26:40.7196130Z aten_select_copy_int_381: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1743, 0, 10); quantized_decomposed_dequantize_per_tensor_default_1743 = None 2025-06-05T23:26:40.7197040Z quantized_decomposed_quantize_per_tensor_default_1249: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_381, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_select_copy_int_381 = None 2025-06-05T23:26:40.7197135Z 2025-06-05T23:26:40.7198087Z # File: .74:4448 in forward, code: dequantize_per_tensor_default_1405 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1405, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantize_per_tensor_default_1405 = None 2025-06-05T23:26:40.7199273Z quantized_decomposed_dequantize_per_tensor_default_1744: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1249, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1249 = None 2025-06-05T23:26:40.7199349Z 2025-06-05T23:26:40.7199992Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.7200867Z aten_permute_copy_default_317: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1662, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1662 = None 2025-06-05T23:26:40.7201826Z quantized_decomposed_quantize_per_tensor_default_1250: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_317, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_permute_copy_default_317 = None 2025-06-05T23:26:40.7202996Z quantized_decomposed_dequantize_per_tensor_default_1745: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1250, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1250 = None 2025-06-05T23:26:40.7203792Z aten_select_copy_int_382: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1745, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1745 = None 2025-06-05T23:26:40.7204699Z quantized_decomposed_quantize_per_tensor_default_1251: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_382, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_select_copy_int_382 = None 2025-06-05T23:26:40.7205881Z quantized_decomposed_dequantize_per_tensor_default_1746: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1251, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1251 = None 2025-06-05T23:26:40.7206633Z aten_select_copy_int_383: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1746, 0, 11); quantized_decomposed_dequantize_per_tensor_default_1746 = None 2025-06-05T23:26:40.7207553Z quantized_decomposed_quantize_per_tensor_default_1252: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_383, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_select_copy_int_383 = None 2025-06-05T23:26:40.7207651Z 2025-06-05T23:26:40.7208607Z # File: .74:4457 in forward, code: dequantize_per_tensor_default_1408 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1408, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantize_per_tensor_default_1408 = None 2025-06-05T23:26:40.7209781Z quantized_decomposed_dequantize_per_tensor_default_1747: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1252, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1252 = None 2025-06-05T23:26:40.7209859Z 2025-06-05T23:26:40.7210504Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.7216231Z aten_cat_default_31: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([quantized_decomposed_dequantize_per_tensor_default_1714, quantized_decomposed_dequantize_per_tensor_default_1717, quantized_decomposed_dequantize_per_tensor_default_1720, quantized_decomposed_dequantize_per_tensor_default_1723, quantized_decomposed_dequantize_per_tensor_default_1726, quantized_decomposed_dequantize_per_tensor_default_1729, quantized_decomposed_dequantize_per_tensor_default_1732, quantized_decomposed_dequantize_per_tensor_default_1735, quantized_decomposed_dequantize_per_tensor_default_1738, quantized_decomposed_dequantize_per_tensor_default_1741, quantized_decomposed_dequantize_per_tensor_default_1744, quantized_decomposed_dequantize_per_tensor_default_1747]); quantized_decomposed_dequantize_per_tensor_default_1714 = quantized_decomposed_dequantize_per_tensor_default_1717 = quantized_decomposed_dequantize_per_tensor_default_1720 = quantized_decomposed_dequantize_per_tensor_default_1723 = quantized_decomposed_dequantize_per_tensor_default_1726 = quantized_decomposed_dequantize_per_tensor_default_1729 = quantized_decomposed_dequantize_per_tensor_default_1732 = quantized_decomposed_dequantize_per_tensor_default_1735 = quantized_decomposed_dequantize_per_tensor_default_1738 = quantized_decomposed_dequantize_per_tensor_default_1741 = quantized_decomposed_dequantize_per_tensor_default_1744 = quantized_decomposed_dequantize_per_tensor_default_1747 = None 2025-06-05T23:26:40.7217173Z quantized_decomposed_quantize_per_tensor_default_1253: "i32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_31, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_cat_default_31 = None 2025-06-05T23:26:40.7218350Z quantized_decomposed_dequantize_per_tensor_default_1748: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1253, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1253 = None 2025-06-05T23:26:40.7219153Z aten_view_copy_default_136: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1748, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_1748 = None 2025-06-05T23:26:40.7220093Z quantized_decomposed_quantize_per_tensor_default_1254: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_136, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_view_copy_default_136 = None 2025-06-05T23:26:40.7220173Z 2025-06-05T23:26:40.7221169Z # File: .74:4463 in forward, code: dequantize_per_tensor_default_1410 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1410, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantize_per_tensor_default_1410 = None 2025-06-05T23:26:40.7222347Z quantized_decomposed_dequantize_per_tensor_default_1749: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1254, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1254 = None 2025-06-05T23:26:40.7222424Z 2025-06-05T23:26:40.7223403Z # File: .74:4464 in forward, code: quantize_per_tensor_default_1411 = torch.ops.quantized_decomposed.quantize_per_tensor.default(dequantize_per_tensor_default_1410, 0.0001724382018437609, 0, -32767, 32767, torch.int16); dequantize_per_tensor_default_1410 = None 2025-06-05T23:26:40.7224590Z quantized_decomposed_quantize_per_tensor_default_1255: "i16[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_1749, 0.0001724382018437609, 0, -32767, 32767, torch.int16); quantized_decomposed_dequantize_per_tensor_default_1749 = None 2025-06-05T23:26:40.7224679Z 2025-06-05T23:26:40.7225141Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:327 in forward, code: y = attn_weight @ v 2025-06-05T23:26:40.7226374Z quantized_decomposed_dequantize_per_tensor_default_1750: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1255, 0.0001724382018437609, 0, -32767, 32767, torch.int16); quantized_decomposed_quantize_per_tensor_default_1255 = None 2025-06-05T23:26:40.7226485Z 2025-06-05T23:26:40.7227064Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:324 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-06-05T23:26:40.7227889Z aten_permute_copy_default_318: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1711, [0, 1, 3, 2]); quantized_decomposed_dequantize_per_tensor_default_1711 = None 2025-06-05T23:26:40.7228860Z quantized_decomposed_quantize_per_tensor_default_1256: "i32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_318, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_permute_copy_default_318 = None 2025-06-05T23:26:40.7228966Z 2025-06-05T23:26:40.7229918Z # File: .74:4468 in forward, code: dequantize_per_tensor_default_1412 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1412, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantize_per_tensor_default_1412 = None 2025-06-05T23:26:40.7231186Z quantized_decomposed_dequantize_per_tensor_default_1751: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1256, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1256 = None 2025-06-05T23:26:40.7231262Z 2025-06-05T23:26:40.7232231Z # File: .74:4469 in forward, code: quantize_per_tensor_default_1413 = torch.ops.quantized_decomposed.quantize_per_tensor.default(dequantize_per_tensor_default_1412, 0.0004126892308704555, 0, -32767, 32767, torch.int16); dequantize_per_tensor_default_1412 = None 2025-06-05T23:26:40.7233441Z quantized_decomposed_quantize_per_tensor_default_1257: "i16[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_1751, 0.0004126892308704555, 0, -32767, 32767, torch.int16); quantized_decomposed_dequantize_per_tensor_default_1751 = None 2025-06-05T23:26:40.7233518Z 2025-06-05T23:26:40.7234111Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:324 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-06-05T23:26:40.7235299Z quantized_decomposed_dequantize_per_tensor_default_1752: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1257, 0.0004126892308704555, 0, -32767, 32767, torch.int16); quantized_decomposed_quantize_per_tensor_default_1257 = None 2025-06-05T23:26:40.7236106Z aten_expand_copy_default_28: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_1646, [1, 12, 1, 64]); quantized_decomposed_dequantize_per_tensor_default_1646 = None 2025-06-05T23:26:40.7236681Z aten_view_copy_default_137: "f32[12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_28, [12, 1, 64]); aten_expand_copy_default_28 = None 2025-06-05T23:26:40.7237481Z aten_expand_copy_default_29: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_1752, [1, 12, 64, 128]); quantized_decomposed_dequantize_per_tensor_default_1752 = None 2025-06-05T23:26:40.7238089Z aten_view_copy_default_138: "f32[12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_29, [12, 64, 128]); aten_expand_copy_default_29 = None 2025-06-05T23:26:40.7238773Z aten_bmm_default_14: "f32[12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_137, aten_view_copy_default_138); aten_view_copy_default_137 = aten_view_copy_default_138 = None 2025-06-05T23:26:40.7239294Z aten_view_copy_default_139: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_14, [1, 12, 1, 128]); aten_bmm_default_14 = None 2025-06-05T23:26:40.7240236Z quantized_decomposed_quantize_per_tensor_default_1258: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_139, 0.0034391621593385935, 32661, 0, 65535, torch.int32); aten_view_copy_default_139 = None 2025-06-05T23:26:40.7241448Z quantized_decomposed_dequantize_per_tensor_default_1753: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1258, 0.0034391621593385935, 32661, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1258 = None 2025-06-05T23:26:40.7242326Z quantized_decomposed_dequantize_per_tensor_default_1754: "f32[]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(b__frozen_param156, 1.9073777366429567e-06, 0, 0, 65535, torch.int32); b__frozen_param156 = None 2025-06-05T23:26:40.7243484Z aten_mul_tensor_115: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1753, quantized_decomposed_dequantize_per_tensor_default_1754); quantized_decomposed_dequantize_per_tensor_default_1753 = quantized_decomposed_dequantize_per_tensor_default_1754 = None 2025-06-05T23:26:40.7244365Z quantized_decomposed_quantize_per_tensor_default_1259: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_115, 0.0004298952699173242, 32661, 0, 65535, torch.int32); aten_mul_tensor_115 = None 2025-06-05T23:26:40.7244454Z 2025-06-05T23:26:40.7244937Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:325 in forward, code: attn_weight += attn_mask 2025-06-05T23:26:40.7246146Z quantized_decomposed_dequantize_per_tensor_default_1755: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1259, 0.0004298952699173242, 32661, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1259 = None 2025-06-05T23:26:40.7247317Z aten_add_tensor_37: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_1755, quantized_decomposed_dequantize_per_tensor_default_1647); quantized_decomposed_dequantize_per_tensor_default_1755 = quantized_decomposed_dequantize_per_tensor_default_1647 = None 2025-06-05T23:26:40.7248184Z quantized_decomposed_quantize_per_tensor_default_1260: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_37, 0.004289415664970875, 62271, 0, 65535, torch.int32); aten_add_tensor_37 = None 2025-06-05T23:26:40.7248274Z 2025-06-05T23:26:40.7248843Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:326 in forward, code: attn_weight = torch.softmax(attn_weight, dim=-1) 2025-06-05T23:26:40.7250005Z quantized_decomposed_dequantize_per_tensor_default_1756: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1260, 0.004289415664970875, 62271, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1260 = None 2025-06-05T23:26:40.7250863Z aten__softmax_default_7: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten__softmax_default(quantized_decomposed_dequantize_per_tensor_default_1756, -1, False); quantized_decomposed_dequantize_per_tensor_default_1756 = None 2025-06-05T23:26:40.7251770Z quantized_decomposed_quantize_per_tensor_default_1261: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten__softmax_default_7, 1.5259021893143654e-05, 0, 0, 65535, torch.int32); aten__softmax_default_7 = None 2025-06-05T23:26:40.7251857Z 2025-06-05T23:26:40.7252316Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:327 in forward, code: y = attn_weight @ v 2025-06-05T23:26:40.7253506Z quantized_decomposed_dequantize_per_tensor_default_1757: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1261, 1.5259021893143654e-05, 0, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1261 = None 2025-06-05T23:26:40.7254314Z aten_expand_copy_default_30: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_1757, [1, 12, 1, 128]); quantized_decomposed_dequantize_per_tensor_default_1757 = None 2025-06-05T23:26:40.7254878Z aten_view_copy_default_140: "f32[12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_30, [12, 1, 128]); aten_expand_copy_default_30 = None 2025-06-05T23:26:40.7255690Z aten_expand_copy_default_31: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_1750, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_1750 = None 2025-06-05T23:26:40.7256277Z aten_view_copy_default_141: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_31, [12, 128, 64]); aten_expand_copy_default_31 = None 2025-06-05T23:26:40.7256928Z aten_bmm_default_15: "f32[12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_140, aten_view_copy_default_141); aten_view_copy_default_140 = aten_view_copy_default_141 = None 2025-06-05T23:26:40.7257472Z aten_view_copy_default_142: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_15, [1, 12, 1, 64]); aten_bmm_default_15 = None 2025-06-05T23:26:40.7258393Z quantized_decomposed_quantize_per_tensor_default_1262: "i32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_142, 0.00010833422857103869, 34577, 0, 65535, torch.int32); aten_view_copy_default_142 = None 2025-06-05T23:26:40.7258474Z 2025-06-05T23:26:40.7259110Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:329 in forward, code: return y.transpose(1, 2).contiguous().view(bsz, seqlen, self.dim) 2025-06-05T23:26:40.7260279Z quantized_decomposed_dequantize_per_tensor_default_1758: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1262, 0.00010833422857103869, 34577, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1262 = None 2025-06-05T23:26:40.7261077Z aten_permute_copy_default_319: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1758, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1758 = None 2025-06-05T23:26:40.7262068Z quantized_decomposed_quantize_per_tensor_default_1263: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_319, 0.00010833422857103869, 34577, 0, 65535, torch.int32); aten_permute_copy_default_319 = None 2025-06-05T23:26:40.7263262Z quantized_decomposed_dequantize_per_tensor_default_1759: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1263, 0.00010833422857103869, 34577, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1263 = None 2025-06-05T23:26:40.7264051Z aten_view_copy_default_143: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1759, [1, 1, 768]); quantized_decomposed_dequantize_per_tensor_default_1759 = None 2025-06-05T23:26:40.7264997Z quantized_decomposed_quantize_per_tensor_default_1264: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_143, 0.00010833422857103869, 34577, 0, 65535, torch.int32); aten_view_copy_default_143 = None 2025-06-05T23:26:40.7265079Z 2025-06-05T23:26:40.7265619Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.7266799Z quantized_decomposed_dequantize_per_tensor_default_1760: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1264, 0.00010833422857103869, 34577, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1264 = None 2025-06-05T23:26:40.7267630Z aten_unsqueeze_copy_default_84: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1760, -1); quantized_decomposed_dequantize_per_tensor_default_1760 = None 2025-06-05T23:26:40.7268603Z quantized_decomposed_quantize_per_tensor_default_1265: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_84, 0.00010833422857103869, 34577, 0, 65535, torch.int32); aten_unsqueeze_copy_default_84 = None 2025-06-05T23:26:40.7268679Z 2025-06-05T23:26:40.7269118Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.7270291Z quantized_decomposed_dequantize_per_tensor_default_1761: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1265, 0.00010833422857103869, 34577, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1265 = None 2025-06-05T23:26:40.7271187Z aten_permute_copy_default_320: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1761, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1761 = None 2025-06-05T23:26:40.7272163Z quantized_decomposed_quantize_per_tensor_default_1266: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_320, 0.00010833422857103869, 34577, 0, 65535, torch.int32); aten_permute_copy_default_320 = None 2025-06-05T23:26:40.7272239Z 2025-06-05T23:26:40.7272601Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.7274006Z quantized_decomposed_dequantize_per_tensor_default_1762: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1266, 0.00010833422857103869, 34577, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1266 = None 2025-06-05T23:26:40.7275439Z aten_convolution_default_52: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1762, quantized_decomposed_dequantize_per_tensor_default_68, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1762 = quantized_decomposed_dequantize_per_tensor_default_68 = None 2025-06-05T23:26:40.7276394Z quantized_decomposed_quantize_per_tensor_default_1267: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_52, 6.415071402443573e-05, 32880, 0, 65535, torch.int32); aten_convolution_default_52 = None 2025-06-05T23:26:40.7276470Z 2025-06-05T23:26:40.7276936Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.7278119Z quantized_decomposed_dequantize_per_tensor_default_1763: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1267, 6.415071402443573e-05, 32880, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1267 = None 2025-06-05T23:26:40.7278927Z aten_permute_copy_default_321: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1763, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1763 = None 2025-06-05T23:26:40.7279886Z quantized_decomposed_quantize_per_tensor_default_1268: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_321, 6.415071402443573e-05, 32880, 0, 65535, torch.int32); aten_permute_copy_default_321 = None 2025-06-05T23:26:40.7279966Z 2025-06-05T23:26:40.7280511Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.7281740Z quantized_decomposed_dequantize_per_tensor_default_1764: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1268, 6.415071402443573e-05, 32880, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1268 = None 2025-06-05T23:26:40.7282503Z aten_squeeze_copy_dims_84: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1764, [-1]); quantized_decomposed_dequantize_per_tensor_default_1764 = None 2025-06-05T23:26:40.7283427Z quantized_decomposed_quantize_per_tensor_default_1269: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_84, 6.415071402443573e-05, 32880, 0, 65535, torch.int32); aten_squeeze_copy_dims_84 = None 2025-06-05T23:26:40.7283507Z 2025-06-05T23:26:40.7283877Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:132 in forward, code: h = x + h 2025-06-05T23:26:40.7285053Z quantized_decomposed_dequantize_per_tensor_default_1765: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1269, 6.415071402443573e-05, 32880, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1269 = None 2025-06-05T23:26:40.7286200Z aten_add_tensor_38: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_1587, quantized_decomposed_dequantize_per_tensor_default_1765); quantized_decomposed_dequantize_per_tensor_default_1587 = quantized_decomposed_dequantize_per_tensor_default_1765 = None 2025-06-05T23:26:40.7287130Z quantized_decomposed_quantize_per_tensor_default_1270: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_38, 0.0026616528630256653, 5869, 0, 65535, torch.int32); aten_add_tensor_38 = None 2025-06-05T23:26:40.7287220Z 2025-06-05T23:26:40.7287728Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:136 in forward, code: out = h + self.feed_forward(self.ffn_norm(h)) 2025-06-05T23:26:40.7288655Z quantized_decomposed_dequantize_per_tensor_default_1766: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1270, 0.0026616528630256653, 5869, 0, 65535, torch.int32) 2025-06-05T23:26:40.7289860Z quantized_decomposed_dequantize_per_tensor_default_1767: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1270, 0.0026616528630256653, 5869, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1270 = None 2025-06-05T23:26:40.7290374Z aten_pow_tensor_scalar_15: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(quantized_decomposed_dequantize_per_tensor_default_1767, 2) 2025-06-05T23:26:40.7290842Z aten_mean_dim_15: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_mean_dim(aten_pow_tensor_scalar_15, [2], True); aten_pow_tensor_scalar_15 = None 2025-06-05T23:26:40.7291285Z aten_add_scalar_15: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_add_Scalar(aten_mean_dim_15, 9.999999747378752e-06); aten_mean_dim_15 = None 2025-06-05T23:26:40.7291705Z aten_rsqrt_default_15: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_rsqrt_default(aten_add_scalar_15); aten_add_scalar_15 = None 2025-06-05T23:26:40.7292586Z aten_mul_tensor_116: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1767, aten_rsqrt_default_15); quantized_decomposed_dequantize_per_tensor_default_1767 = aten_rsqrt_default_15 = None 2025-06-05T23:26:40.7293431Z aten_mul_tensor_117: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_116, quantized_decomposed_dequantize_per_tensor_default_69); aten_mul_tensor_116 = quantized_decomposed_dequantize_per_tensor_default_69 = None 2025-06-05T23:26:40.7294297Z quantized_decomposed_quantize_per_tensor_default_1271: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_117, 0.0003230620641261339, 20283, 0, 65535, torch.int32); aten_mul_tensor_117 = None 2025-06-05T23:26:40.7294388Z 2025-06-05T23:26:40.7294912Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.7295861Z quantized_decomposed_dequantize_per_tensor_default_1768: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1271, 0.0003230620641261339, 20283, 0, 65535, torch.int32) 2025-06-05T23:26:40.7297034Z quantized_decomposed_dequantize_per_tensor_default_1769: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1271, 0.0003230620641261339, 20283, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1271 = None 2025-06-05T23:26:40.7297852Z aten_unsqueeze_copy_default_85: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1769, -1); quantized_decomposed_dequantize_per_tensor_default_1769 = None 2025-06-05T23:26:40.7298878Z quantized_decomposed_quantize_per_tensor_default_1272: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_85, 0.0003230620641261339, 20283, 0, 65535, torch.int32); aten_unsqueeze_copy_default_85 = None 2025-06-05T23:26:40.7298955Z 2025-06-05T23:26:40.7299363Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.7300547Z quantized_decomposed_dequantize_per_tensor_default_1770: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1272, 0.0003230620641261339, 20283, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1272 = None 2025-06-05T23:26:40.7301380Z aten_permute_copy_default_322: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1770, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1770 = None 2025-06-05T23:26:40.7302419Z quantized_decomposed_quantize_per_tensor_default_1273: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_322, 0.0003230620641261339, 20283, 0, 65535, torch.int32); aten_permute_copy_default_322 = None 2025-06-05T23:26:40.7302497Z 2025-06-05T23:26:40.7302863Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.7304047Z quantized_decomposed_dequantize_per_tensor_default_1771: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1273, 0.0003230620641261339, 20283, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1273 = None 2025-06-05T23:26:40.7305348Z aten_convolution_default_53: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1771, quantized_decomposed_dequantize_per_tensor_default_70, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1771 = quantized_decomposed_dequantize_per_tensor_default_70 = None 2025-06-05T23:26:40.7306346Z quantized_decomposed_quantize_per_tensor_default_1274: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_53, 0.0002114040544256568, 29834, 0, 65535, torch.int32); aten_convolution_default_53 = None 2025-06-05T23:26:40.7306423Z 2025-06-05T23:26:40.7306844Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.7308039Z quantized_decomposed_dequantize_per_tensor_default_1772: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1274, 0.0002114040544256568, 29834, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1274 = None 2025-06-05T23:26:40.7308846Z aten_permute_copy_default_323: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1772, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1772 = None 2025-06-05T23:26:40.7309806Z quantized_decomposed_quantize_per_tensor_default_1275: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_323, 0.0002114040544256568, 29834, 0, 65535, torch.int32); aten_permute_copy_default_323 = None 2025-06-05T23:26:40.7309927Z 2025-06-05T23:26:40.7310489Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.7311752Z quantized_decomposed_dequantize_per_tensor_default_1773: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1275, 0.0002114040544256568, 29834, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1275 = None 2025-06-05T23:26:40.7312538Z aten_squeeze_copy_dims_85: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1773, [-1]); quantized_decomposed_dequantize_per_tensor_default_1773 = None 2025-06-05T23:26:40.7313491Z quantized_decomposed_quantize_per_tensor_default_1276: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_85, 0.0002114040544256568, 29834, 0, 65535, torch.int32); aten_squeeze_copy_dims_85 = None 2025-06-05T23:26:40.7313588Z 2025-06-05T23:26:40.7314103Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:37 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-06-05T23:26:40.7315051Z quantized_decomposed_dequantize_per_tensor_default_1774: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1276, 0.0002114040544256568, 29834, 0, 65535, torch.int32) 2025-06-05T23:26:40.7316231Z quantized_decomposed_dequantize_per_tensor_default_1775: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1276, 0.0002114040544256568, 29834, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1276 = None 2025-06-05T23:26:40.7316990Z aten_sigmoid_default_7: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_sigmoid_default(quantized_decomposed_dequantize_per_tensor_default_1775); quantized_decomposed_dequantize_per_tensor_default_1775 = None 2025-06-05T23:26:40.7317892Z quantized_decomposed_quantize_per_tensor_default_1277: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sigmoid_default_7, 1.52587890625e-05, 0, 0, 65535, torch.int32); aten_sigmoid_default_7 = None 2025-06-05T23:26:40.7319026Z quantized_decomposed_dequantize_per_tensor_default_1776: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1277, 1.52587890625e-05, 0, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1277 = None 2025-06-05T23:26:40.7320190Z aten_mul_tensor_118: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1774, quantized_decomposed_dequantize_per_tensor_default_1776); quantized_decomposed_dequantize_per_tensor_default_1774 = quantized_decomposed_dequantize_per_tensor_default_1776 = None 2025-06-05T23:26:40.7321087Z quantized_decomposed_quantize_per_tensor_default_1278: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_118, 0.00011935368820559233, 2333, 0, 65535, torch.int32); aten_mul_tensor_118 = None 2025-06-05T23:26:40.7322259Z quantized_decomposed_dequantize_per_tensor_default_1777: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1278, 0.00011935368820559233, 2333, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1278 = None 2025-06-05T23:26:40.7322376Z 2025-06-05T23:26:40.7322923Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.7323741Z aten_unsqueeze_copy_default_86: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1768, -1); quantized_decomposed_dequantize_per_tensor_default_1768 = None 2025-06-05T23:26:40.7324716Z quantized_decomposed_quantize_per_tensor_default_1279: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_86, 0.0003230620641261339, 20283, 0, 65535, torch.int32); aten_unsqueeze_copy_default_86 = None 2025-06-05T23:26:40.7324794Z 2025-06-05T23:26:40.7325197Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.7326404Z quantized_decomposed_dequantize_per_tensor_default_1778: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1279, 0.0003230620641261339, 20283, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1279 = None 2025-06-05T23:26:40.7327215Z aten_permute_copy_default_324: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1778, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1778 = None 2025-06-05T23:26:40.7328178Z quantized_decomposed_quantize_per_tensor_default_1280: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_324, 0.0003230620641261339, 20283, 0, 65535, torch.int32); aten_permute_copy_default_324 = None 2025-06-05T23:26:40.7328257Z 2025-06-05T23:26:40.7328619Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.7329799Z quantized_decomposed_dequantize_per_tensor_default_1779: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1280, 0.0003230620641261339, 20283, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1280 = None 2025-06-05T23:26:40.7331127Z aten_convolution_default_54: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1779, quantized_decomposed_dequantize_per_tensor_default_71, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1779 = quantized_decomposed_dequantize_per_tensor_default_71 = None 2025-06-05T23:26:40.7332091Z quantized_decomposed_quantize_per_tensor_default_1281: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_54, 0.00024151173420250416, 31646, 0, 65535, torch.int32); aten_convolution_default_54 = None 2025-06-05T23:26:40.7332168Z 2025-06-05T23:26:40.7332589Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.7333789Z quantized_decomposed_dequantize_per_tensor_default_1780: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1281, 0.00024151173420250416, 31646, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1281 = None 2025-06-05T23:26:40.7334635Z aten_permute_copy_default_325: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1780, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1780 = None 2025-06-05T23:26:40.7335620Z quantized_decomposed_quantize_per_tensor_default_1282: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_325, 0.00024151173420250416, 31646, 0, 65535, torch.int32); aten_permute_copy_default_325 = None 2025-06-05T23:26:40.7335712Z 2025-06-05T23:26:40.7336251Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.7337432Z quantized_decomposed_dequantize_per_tensor_default_1781: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1282, 0.00024151173420250416, 31646, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1282 = None 2025-06-05T23:26:40.7338237Z aten_squeeze_copy_dims_86: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1781, [-1]); quantized_decomposed_dequantize_per_tensor_default_1781 = None 2025-06-05T23:26:40.7339164Z quantized_decomposed_quantize_per_tensor_default_1283: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_86, 0.00024151173420250416, 31646, 0, 65535, torch.int32); aten_squeeze_copy_dims_86 = None 2025-06-05T23:26:40.7339255Z 2025-06-05T23:26:40.7339769Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:37 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-06-05T23:26:40.7340947Z quantized_decomposed_dequantize_per_tensor_default_1782: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1283, 0.00024151173420250416, 31646, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1283 = None 2025-06-05T23:26:40.7342140Z aten_mul_tensor_119: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1777, quantized_decomposed_dequantize_per_tensor_default_1782); quantized_decomposed_dequantize_per_tensor_default_1777 = quantized_decomposed_dequantize_per_tensor_default_1782 = None 2025-06-05T23:26:40.7343020Z quantized_decomposed_quantize_per_tensor_default_1284: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_119, 0.00026427191914990544, 35887, 0, 65535, torch.int32); aten_mul_tensor_119 = None 2025-06-05T23:26:40.7343108Z 2025-06-05T23:26:40.7343627Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.7344809Z quantized_decomposed_dequantize_per_tensor_default_1783: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1284, 0.00026427191914990544, 35887, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1284 = None 2025-06-05T23:26:40.7345647Z aten_unsqueeze_copy_default_87: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1783, -1); quantized_decomposed_dequantize_per_tensor_default_1783 = None 2025-06-05T23:26:40.7346618Z quantized_decomposed_quantize_per_tensor_default_1285: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_87, 0.00026427191914990544, 35887, 0, 65535, torch.int32); aten_unsqueeze_copy_default_87 = None 2025-06-05T23:26:40.7346720Z 2025-06-05T23:26:40.7347156Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.7348352Z quantized_decomposed_dequantize_per_tensor_default_1784: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1285, 0.00026427191914990544, 35887, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1285 = None 2025-06-05T23:26:40.7349173Z aten_permute_copy_default_326: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1784, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1784 = None 2025-06-05T23:26:40.7350156Z quantized_decomposed_quantize_per_tensor_default_1286: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_326, 0.00026427191914990544, 35887, 0, 65535, torch.int32); aten_permute_copy_default_326 = None 2025-06-05T23:26:40.7350248Z 2025-06-05T23:26:40.7350611Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.7351874Z quantized_decomposed_dequantize_per_tensor_default_1785: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1286, 0.00026427191914990544, 35887, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1286 = None 2025-06-05T23:26:40.7353192Z aten_convolution_default_55: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1785, quantized_decomposed_dequantize_per_tensor_default_72, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1785 = quantized_decomposed_dequantize_per_tensor_default_72 = None 2025-06-05T23:26:40.7354141Z quantized_decomposed_quantize_per_tensor_default_1287: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_55, 0.00013502163346856833, 26548, 0, 65535, torch.int32); aten_convolution_default_55 = None 2025-06-05T23:26:40.7354265Z 2025-06-05T23:26:40.7354689Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.7355874Z quantized_decomposed_dequantize_per_tensor_default_1786: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1287, 0.00013502163346856833, 26548, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1287 = None 2025-06-05T23:26:40.7356711Z aten_permute_copy_default_327: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1786, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1786 = None 2025-06-05T23:26:40.7357667Z quantized_decomposed_quantize_per_tensor_default_1288: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_327, 0.00013502163346856833, 26548, 0, 65535, torch.int32); aten_permute_copy_default_327 = None 2025-06-05T23:26:40.7357743Z 2025-06-05T23:26:40.7358299Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.7359512Z quantized_decomposed_dequantize_per_tensor_default_1787: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1288, 0.00013502163346856833, 26548, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1288 = None 2025-06-05T23:26:40.7360312Z aten_squeeze_copy_dims_87: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1787, [-1]); quantized_decomposed_dequantize_per_tensor_default_1787 = None 2025-06-05T23:26:40.7361232Z quantized_decomposed_quantize_per_tensor_default_1289: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_87, 0.00013502163346856833, 26548, 0, 65535, torch.int32); aten_squeeze_copy_dims_87 = None 2025-06-05T23:26:40.7361312Z 2025-06-05T23:26:40.7361865Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:136 in forward, code: out = h + self.feed_forward(self.ffn_norm(h)) 2025-06-05T23:26:40.7363043Z quantized_decomposed_dequantize_per_tensor_default_1788: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1289, 0.00013502163346856833, 26548, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1289 = None 2025-06-05T23:26:40.7364190Z aten_add_tensor_39: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_1766, quantized_decomposed_dequantize_per_tensor_default_1788); quantized_decomposed_dequantize_per_tensor_default_1766 = quantized_decomposed_dequantize_per_tensor_default_1788 = None 2025-06-05T23:26:40.7365067Z quantized_decomposed_quantize_per_tensor_default_1290: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_39, 0.0026549873873591423, 5846, 0, 65535, torch.int32); aten_add_tensor_39 = None 2025-06-05T23:26:40.7365152Z 2025-06-05T23:26:40.7365535Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:132 in forward, code: h = x + h 2025-06-05T23:26:40.7366487Z quantized_decomposed_dequantize_per_tensor_default_1789: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1290, 0.0026549873873591423, 5846, 0, 65535, torch.int32) 2025-06-05T23:26:40.7366566Z 2025-06-05T23:26:40.7367149Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:129 in forward, code: self.attention_norm(x), freqs_cos, freqs_sin, **attn_options 2025-06-05T23:26:40.7368321Z quantized_decomposed_dequantize_per_tensor_default_1790: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1290, 0.0026549873873591423, 5846, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1290 = None 2025-06-05T23:26:40.7368834Z aten_pow_tensor_scalar_16: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(quantized_decomposed_dequantize_per_tensor_default_1790, 2) 2025-06-05T23:26:40.7369302Z aten_mean_dim_16: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_mean_dim(aten_pow_tensor_scalar_16, [2], True); aten_pow_tensor_scalar_16 = None 2025-06-05T23:26:40.7369744Z aten_add_scalar_16: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_add_Scalar(aten_mean_dim_16, 9.999999747378752e-06); aten_mean_dim_16 = None 2025-06-05T23:26:40.7370159Z aten_rsqrt_default_16: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_rsqrt_default(aten_add_scalar_16); aten_add_scalar_16 = None 2025-06-05T23:26:40.7371060Z aten_mul_tensor_120: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1790, aten_rsqrt_default_16); quantized_decomposed_dequantize_per_tensor_default_1790 = aten_rsqrt_default_16 = None 2025-06-05T23:26:40.7371905Z aten_mul_tensor_121: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_120, quantized_decomposed_dequantize_per_tensor_default_73); aten_mul_tensor_120 = quantized_decomposed_dequantize_per_tensor_default_73 = None 2025-06-05T23:26:40.7373012Z quantized_decomposed_quantize_per_tensor_default_1291: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_121, 0.0004401287587825209, 30665, 0, 65535, torch.int32); aten_mul_tensor_121 = None 2025-06-05T23:26:40.7373092Z 2025-06-05T23:26:40.7373616Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.7374651Z quantized_decomposed_dequantize_per_tensor_default_1791: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1291, 0.0004401287587825209, 30665, 0, 65535, torch.int32) 2025-06-05T23:26:40.7375589Z quantized_decomposed_dequantize_per_tensor_default_1792: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1291, 0.0004401287587825209, 30665, 0, 65535, torch.int32) 2025-06-05T23:26:40.7376768Z quantized_decomposed_dequantize_per_tensor_default_1793: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1291, 0.0004401287587825209, 30665, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1291 = None 2025-06-05T23:26:40.7377605Z aten_unsqueeze_copy_default_88: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1793, -1); quantized_decomposed_dequantize_per_tensor_default_1793 = None 2025-06-05T23:26:40.7378622Z quantized_decomposed_quantize_per_tensor_default_1292: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_88, 0.0004401287587825209, 30665, 0, 65535, torch.int32); aten_unsqueeze_copy_default_88 = None 2025-06-05T23:26:40.7378711Z 2025-06-05T23:26:40.7379116Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.7380290Z quantized_decomposed_dequantize_per_tensor_default_1794: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1292, 0.0004401287587825209, 30665, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1292 = None 2025-06-05T23:26:40.7381106Z aten_permute_copy_default_328: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1794, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1794 = None 2025-06-05T23:26:40.7382059Z quantized_decomposed_quantize_per_tensor_default_1293: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_328, 0.0004401287587825209, 30665, 0, 65535, torch.int32); aten_permute_copy_default_328 = None 2025-06-05T23:26:40.7382147Z 2025-06-05T23:26:40.7382508Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.7383727Z quantized_decomposed_dequantize_per_tensor_default_1795: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1293, 0.0004401287587825209, 30665, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1293 = None 2025-06-05T23:26:40.7385075Z aten_convolution_default_56: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1795, quantized_decomposed_dequantize_per_tensor_default_74, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1795 = quantized_decomposed_dequantize_per_tensor_default_74 = None 2025-06-05T23:26:40.7386022Z quantized_decomposed_quantize_per_tensor_default_1294: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_56, 0.00033537388662807643, 31155, 0, 65535, torch.int32); aten_convolution_default_56 = None 2025-06-05T23:26:40.7386126Z 2025-06-05T23:26:40.7386561Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.7387737Z quantized_decomposed_dequantize_per_tensor_default_1796: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1294, 0.00033537388662807643, 31155, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1294 = None 2025-06-05T23:26:40.7388556Z aten_permute_copy_default_329: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1796, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1796 = None 2025-06-05T23:26:40.7389513Z quantized_decomposed_quantize_per_tensor_default_1295: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_329, 0.00033537388662807643, 31155, 0, 65535, torch.int32); aten_permute_copy_default_329 = None 2025-06-05T23:26:40.7389591Z 2025-06-05T23:26:40.7390138Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.7391420Z quantized_decomposed_dequantize_per_tensor_default_1797: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1295, 0.00033537388662807643, 31155, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1295 = None 2025-06-05T23:26:40.7392183Z aten_squeeze_copy_dims_88: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1797, [-1]); quantized_decomposed_dequantize_per_tensor_default_1797 = None 2025-06-05T23:26:40.7393125Z quantized_decomposed_quantize_per_tensor_default_1296: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_88, 0.00033537388662807643, 31155, 0, 65535, torch.int32); aten_squeeze_copy_dims_88 = None 2025-06-05T23:26:40.7393200Z 2025-06-05T23:26:40.7393722Z # File: /pytorch/executorch/examples/models/llama/attention.py:405 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim) 2025-06-05T23:26:40.7394910Z quantized_decomposed_dequantize_per_tensor_default_1798: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1296, 0.00033537388662807643, 31155, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1296 = None 2025-06-05T23:26:40.7394988Z 2025-06-05T23:26:40.7395565Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.7396383Z aten_unsqueeze_copy_default_89: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1792, -1); quantized_decomposed_dequantize_per_tensor_default_1792 = None 2025-06-05T23:26:40.7397346Z quantized_decomposed_quantize_per_tensor_default_1297: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_89, 0.0004401287587825209, 30665, 0, 65535, torch.int32); aten_unsqueeze_copy_default_89 = None 2025-06-05T23:26:40.7397436Z 2025-06-05T23:26:40.7397836Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.7399039Z quantized_decomposed_dequantize_per_tensor_default_1799: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1297, 0.0004401287587825209, 30665, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1297 = None 2025-06-05T23:26:40.7399868Z aten_permute_copy_default_330: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1799, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1799 = None 2025-06-05T23:26:40.7400824Z quantized_decomposed_quantize_per_tensor_default_1298: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_330, 0.0004401287587825209, 30665, 0, 65535, torch.int32); aten_permute_copy_default_330 = None 2025-06-05T23:26:40.7400918Z 2025-06-05T23:26:40.7401279Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.7402444Z quantized_decomposed_dequantize_per_tensor_default_1800: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1298, 0.0004401287587825209, 30665, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1298 = None 2025-06-05T23:26:40.7404063Z aten_convolution_default_57: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1800, quantized_decomposed_dequantize_per_tensor_default_75, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1800 = quantized_decomposed_dequantize_per_tensor_default_75 = None 2025-06-05T23:26:40.7405003Z quantized_decomposed_quantize_per_tensor_default_1299: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_57, 0.00042168446816504, 35651, 0, 65535, torch.int32); aten_convolution_default_57 = None 2025-06-05T23:26:40.7405081Z 2025-06-05T23:26:40.7405517Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.7406677Z quantized_decomposed_dequantize_per_tensor_default_1801: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1299, 0.00042168446816504, 35651, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1299 = None 2025-06-05T23:26:40.7407503Z aten_permute_copy_default_331: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1801, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1801 = None 2025-06-05T23:26:40.7408499Z quantized_decomposed_quantize_per_tensor_default_1300: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_331, 0.00042168446816504, 35651, 0, 65535, torch.int32); aten_permute_copy_default_331 = None 2025-06-05T23:26:40.7408578Z 2025-06-05T23:26:40.7409133Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.7410294Z quantized_decomposed_dequantize_per_tensor_default_1802: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1300, 0.00042168446816504, 35651, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1300 = None 2025-06-05T23:26:40.7411084Z aten_squeeze_copy_dims_89: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1802, [-1]); quantized_decomposed_dequantize_per_tensor_default_1802 = None 2025-06-05T23:26:40.7411999Z quantized_decomposed_quantize_per_tensor_default_1301: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_89, 0.00042168446816504, 35651, 0, 65535, torch.int32); aten_squeeze_copy_dims_89 = None 2025-06-05T23:26:40.7412076Z 2025-06-05T23:26:40.7412617Z # File: /pytorch/executorch/examples/models/llama/attention.py:406 in forward, code: k = k.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim) 2025-06-05T23:26:40.7413773Z quantized_decomposed_dequantize_per_tensor_default_1803: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1301, 0.00042168446816504, 35651, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1301 = None 2025-06-05T23:26:40.7413853Z 2025-06-05T23:26:40.7414381Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.7415245Z aten_unsqueeze_copy_default_90: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1791, -1); quantized_decomposed_dequantize_per_tensor_default_1791 = None 2025-06-05T23:26:40.7416207Z quantized_decomposed_quantize_per_tensor_default_1302: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_90, 0.0004401287587825209, 30665, 0, 65535, torch.int32); aten_unsqueeze_copy_default_90 = None 2025-06-05T23:26:40.7416298Z 2025-06-05T23:26:40.7416705Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.7417877Z quantized_decomposed_dequantize_per_tensor_default_1804: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1302, 0.0004401287587825209, 30665, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1302 = None 2025-06-05T23:26:40.7418690Z aten_permute_copy_default_332: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1804, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1804 = None 2025-06-05T23:26:40.7419673Z quantized_decomposed_quantize_per_tensor_default_1303: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_332, 0.0004401287587825209, 30665, 0, 65535, torch.int32); aten_permute_copy_default_332 = None 2025-06-05T23:26:40.7419786Z 2025-06-05T23:26:40.7420146Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.7421319Z quantized_decomposed_dequantize_per_tensor_default_1805: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1303, 0.0004401287587825209, 30665, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1303 = None 2025-06-05T23:26:40.7422638Z aten_convolution_default_58: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1805, quantized_decomposed_dequantize_per_tensor_default_76, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1805 = quantized_decomposed_dequantize_per_tensor_default_76 = None 2025-06-05T23:26:40.7423612Z quantized_decomposed_quantize_per_tensor_default_1304: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_58, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_convolution_default_58 = None 2025-06-05T23:26:40.7423701Z 2025-06-05T23:26:40.7424123Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.7425288Z quantized_decomposed_dequantize_per_tensor_default_1806: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1304, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1304 = None 2025-06-05T23:26:40.7426112Z aten_permute_copy_default_333: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1806, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1806 = None 2025-06-05T23:26:40.7427084Z quantized_decomposed_quantize_per_tensor_default_1305: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_333, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_permute_copy_default_333 = None 2025-06-05T23:26:40.7427160Z 2025-06-05T23:26:40.7427709Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.7428893Z quantized_decomposed_dequantize_per_tensor_default_1807: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1305, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1305 = None 2025-06-05T23:26:40.7429657Z aten_squeeze_copy_dims_90: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1807, [-1]); quantized_decomposed_dequantize_per_tensor_default_1807 = None 2025-06-05T23:26:40.7430586Z quantized_decomposed_quantize_per_tensor_default_1306: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_90, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_squeeze_copy_dims_90 = None 2025-06-05T23:26:40.7430663Z 2025-06-05T23:26:40.7431286Z # File: /pytorch/executorch/examples/models/llama/attention.py:407 in forward, code: v = v.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim) 2025-06-05T23:26:40.7432484Z quantized_decomposed_dequantize_per_tensor_default_1808: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1306, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1306 = None 2025-06-05T23:26:40.7432583Z 2025-06-05T23:26:40.7433112Z # File: /pytorch/executorch/examples/models/llama/attention.py:405 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim) 2025-06-05T23:26:40.7433892Z aten_view_copy_default_144: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1798, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_1798 = None 2025-06-05T23:26:40.7434822Z quantized_decomposed_quantize_per_tensor_default_1307: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_144, 0.00033537388662807643, 31155, 0, 65535, torch.int32); aten_view_copy_default_144 = None 2025-06-05T23:26:40.7434940Z 2025-06-05T23:26:40.7435470Z # File: /pytorch/executorch/examples/models/llama/rope.py:84 in apply_rotary_emb, code: xq_r, xq_i = xq.float().reshape(xq.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.7436651Z quantized_decomposed_dequantize_per_tensor_default_1809: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1307, 0.00033537388662807643, 31155, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1307 = None 2025-06-05T23:26:40.7436742Z 2025-06-05T23:26:40.7437262Z # File: /pytorch/executorch/examples/models/llama/attention.py:406 in forward, code: k = k.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim) 2025-06-05T23:26:40.7438044Z aten_view_copy_default_145: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1803, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_1803 = None 2025-06-05T23:26:40.7438995Z quantized_decomposed_quantize_per_tensor_default_1308: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_145, 0.00042168446816504, 35651, 0, 65535, torch.int32); aten_view_copy_default_145 = None 2025-06-05T23:26:40.7439070Z 2025-06-05T23:26:40.7439601Z # File: /pytorch/executorch/examples/models/llama/rope.py:85 in apply_rotary_emb, code: xk_r, xk_i = xk.float().reshape(xk.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.7440761Z quantized_decomposed_dequantize_per_tensor_default_1810: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1308, 0.00042168446816504, 35651, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1308 = None 2025-06-05T23:26:40.7440840Z 2025-06-05T23:26:40.7441371Z # File: /pytorch/executorch/examples/models/llama/attention.py:407 in forward, code: v = v.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim) 2025-06-05T23:26:40.7442143Z aten_view_copy_default_146: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1808, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_1808 = None 2025-06-05T23:26:40.7443062Z quantized_decomposed_quantize_per_tensor_default_1309: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_146, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_view_copy_default_146 = None 2025-06-05T23:26:40.7443174Z 2025-06-05T23:26:40.7443869Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:511 in update, code: v_out = torch.ops.aten.index_put_(self.past_v_caches, [None, input_pos], v_val) 2025-06-05T23:26:40.7445046Z quantized_decomposed_dequantize_per_tensor_default_1811: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1309, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1309 = None 2025-06-05T23:26:40.7445132Z 2025-06-05T23:26:40.7445653Z # File: /pytorch/executorch/examples/models/llama/rope.py:84 in apply_rotary_emb, code: xq_r, xq_i = xq.float().reshape(xq.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.7446482Z aten_view_copy_default_147: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1809, [1, 1, 12, -1, 2]); quantized_decomposed_dequantize_per_tensor_default_1809 = None 2025-06-05T23:26:40.7447406Z quantized_decomposed_quantize_per_tensor_default_1310: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_147, 0.00033537388662807643, 31155, 0, 65535, torch.int32); aten_view_copy_default_147 = None 2025-06-05T23:26:40.7448582Z quantized_decomposed_dequantize_per_tensor_default_1812: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1310, 0.00033537388662807643, 31155, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1310 = None 2025-06-05T23:26:40.7449124Z aten_slice_copy_tensor_32: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_1812, 4, 0, 1) 2025-06-05T23:26:40.7449887Z aten_slice_copy_tensor_33: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_1812, 4, 1, 2); quantized_decomposed_dequantize_per_tensor_default_1812 = None 2025-06-05T23:26:40.7450436Z aten_squeeze_copy_dims_91: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_32, [4]); aten_slice_copy_tensor_32 = None 2025-06-05T23:26:40.7450952Z aten_squeeze_copy_dims_92: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_33, [4]); aten_slice_copy_tensor_33 = None 2025-06-05T23:26:40.7451872Z quantized_decomposed_quantize_per_tensor_default_1311: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_91, 0.00033537388662807643, 31155, 0, 65535, torch.int32); aten_squeeze_copy_dims_91 = None 2025-06-05T23:26:40.7451964Z 2025-06-05T23:26:40.7452439Z # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos 2025-06-05T23:26:40.7453374Z quantized_decomposed_dequantize_per_tensor_default_1813: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1311, 0.00033537388662807643, 31155, 0, 65535, torch.int32) 2025-06-05T23:26:40.7453462Z 2025-06-05T23:26:40.7453931Z # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin 2025-06-05T23:26:40.7455124Z quantized_decomposed_dequantize_per_tensor_default_1814: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1311, 0.00033537388662807643, 31155, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1311 = None 2025-06-05T23:26:40.7455237Z 2025-06-05T23:26:40.7455758Z # File: /pytorch/executorch/examples/models/llama/rope.py:84 in apply_rotary_emb, code: xq_r, xq_i = xq.float().reshape(xq.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.7456678Z quantized_decomposed_quantize_per_tensor_default_1312: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_92, 0.00033537388662807643, 31155, 0, 65535, torch.int32); aten_squeeze_copy_dims_92 = None 2025-06-05T23:26:40.7456766Z 2025-06-05T23:26:40.7457235Z # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin 2025-06-05T23:26:40.7458192Z quantized_decomposed_dequantize_per_tensor_default_1815: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1312, 0.00033537388662807643, 31155, 0, 65535, torch.int32) 2025-06-05T23:26:40.7458286Z 2025-06-05T23:26:40.7458752Z # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos 2025-06-05T23:26:40.7459931Z quantized_decomposed_dequantize_per_tensor_default_1816: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1312, 0.00033537388662807643, 31155, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1312 = None 2025-06-05T23:26:40.7460018Z 2025-06-05T23:26:40.7460536Z # File: /pytorch/executorch/examples/models/llama/rope.py:85 in apply_rotary_emb, code: xk_r, xk_i = xk.float().reshape(xk.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.7461344Z aten_view_copy_default_148: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1810, [1, 1, 12, -1, 2]); quantized_decomposed_dequantize_per_tensor_default_1810 = None 2025-06-05T23:26:40.7462282Z quantized_decomposed_quantize_per_tensor_default_1313: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_148, 0.00042168446816504, 35651, 0, 65535, torch.int32); aten_view_copy_default_148 = None 2025-06-05T23:26:40.7463437Z quantized_decomposed_dequantize_per_tensor_default_1817: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1313, 0.00042168446816504, 35651, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1313 = None 2025-06-05T23:26:40.7463991Z aten_slice_copy_tensor_34: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_1817, 4, 0, 1) 2025-06-05T23:26:40.7464752Z aten_slice_copy_tensor_35: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_1817, 4, 1, 2); quantized_decomposed_dequantize_per_tensor_default_1817 = None 2025-06-05T23:26:40.7465285Z aten_squeeze_copy_dims_93: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_34, [4]); aten_slice_copy_tensor_34 = None 2025-06-05T23:26:40.7465800Z aten_squeeze_copy_dims_94: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_35, [4]); aten_slice_copy_tensor_35 = None 2025-06-05T23:26:40.7466722Z quantized_decomposed_quantize_per_tensor_default_1314: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_93, 0.00042168446816504, 35651, 0, 65535, torch.int32); aten_squeeze_copy_dims_93 = None 2025-06-05T23:26:40.7466843Z 2025-06-05T23:26:40.7467313Z # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos 2025-06-05T23:26:40.7468243Z quantized_decomposed_dequantize_per_tensor_default_1818: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1314, 0.00042168446816504, 35651, 0, 65535, torch.int32) 2025-06-05T23:26:40.7468331Z 2025-06-05T23:26:40.7468801Z # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin 2025-06-05T23:26:40.7469978Z quantized_decomposed_dequantize_per_tensor_default_1819: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1314, 0.00042168446816504, 35651, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1314 = None 2025-06-05T23:26:40.7470070Z 2025-06-05T23:26:40.7470591Z # File: /pytorch/executorch/examples/models/llama/rope.py:85 in apply_rotary_emb, code: xk_r, xk_i = xk.float().reshape(xk.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.7471575Z quantized_decomposed_quantize_per_tensor_default_1315: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_94, 0.00042168446816504, 35651, 0, 65535, torch.int32); aten_squeeze_copy_dims_94 = None 2025-06-05T23:26:40.7471674Z 2025-06-05T23:26:40.7472144Z # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin 2025-06-05T23:26:40.7473330Z quantized_decomposed_dequantize_per_tensor_default_1820: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1315, 0.00042168446816504, 35651, 0, 65535, torch.int32) 2025-06-05T23:26:40.7473427Z 2025-06-05T23:26:40.7473971Z # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos 2025-06-05T23:26:40.7475134Z quantized_decomposed_dequantize_per_tensor_default_1821: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1315, 0.00042168446816504, 35651, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1315 = None 2025-06-05T23:26:40.7475228Z 2025-06-05T23:26:40.7475669Z # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape) 2025-06-05T23:26:40.7476454Z aten_view_copy_default_149: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_154, [1, 1, 1, 32]); quantized_decomposed_dequantize_per_tensor_default_154 = None 2025-06-05T23:26:40.7477371Z quantized_decomposed_quantize_per_tensor_default_1316: "i32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_149, 3.051804378628731e-05, 32768, 0, 65535, torch.int32); aten_view_copy_default_149 = None 2025-06-05T23:26:40.7477448Z 2025-06-05T23:26:40.7477930Z # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos 2025-06-05T23:26:40.7478898Z quantized_decomposed_dequantize_per_tensor_default_1822: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1316, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-06-05T23:26:40.7479006Z 2025-06-05T23:26:40.7479490Z # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin 2025-06-05T23:26:40.7480428Z quantized_decomposed_dequantize_per_tensor_default_1823: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1316, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-06-05T23:26:40.7480505Z 2025-06-05T23:26:40.7480986Z # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos 2025-06-05T23:26:40.7481956Z quantized_decomposed_dequantize_per_tensor_default_1824: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1316, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-06-05T23:26:40.7482031Z 2025-06-05T23:26:40.7482517Z # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin 2025-06-05T23:26:40.7483679Z quantized_decomposed_dequantize_per_tensor_default_1825: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1316, 3.051804378628731e-05, 32768, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1316 = None 2025-06-05T23:26:40.7483759Z 2025-06-05T23:26:40.7484211Z # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape) 2025-06-05T23:26:40.7484978Z aten_view_copy_default_150: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_166, [1, 1, 1, 32]); quantized_decomposed_dequantize_per_tensor_default_166 = None 2025-06-05T23:26:40.7485929Z quantized_decomposed_quantize_per_tensor_default_1317: "i32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_150, 3.051786916330457e-05, 32767, 0, 65535, torch.int32); aten_view_copy_default_150 = None 2025-06-05T23:26:40.7486008Z 2025-06-05T23:26:40.7486480Z # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin 2025-06-05T23:26:40.7487420Z quantized_decomposed_dequantize_per_tensor_default_1826: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1317, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-06-05T23:26:40.7487497Z 2025-06-05T23:26:40.7487964Z # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos 2025-06-05T23:26:40.7488899Z quantized_decomposed_dequantize_per_tensor_default_1827: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1317, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-06-05T23:26:40.7488974Z 2025-06-05T23:26:40.7489438Z # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin 2025-06-05T23:26:40.7490401Z quantized_decomposed_dequantize_per_tensor_default_1828: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1317, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-06-05T23:26:40.7490501Z 2025-06-05T23:26:40.7490970Z # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos 2025-06-05T23:26:40.7492139Z quantized_decomposed_dequantize_per_tensor_default_1829: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1317, 3.051786916330457e-05, 32767, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1317 = None 2025-06-05T23:26:40.7492213Z 2025-06-05T23:26:40.7492705Z # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin 2025-06-05T23:26:40.7493878Z aten_mul_tensor_122: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1814, quantized_decomposed_dequantize_per_tensor_default_1825); quantized_decomposed_dequantize_per_tensor_default_1814 = quantized_decomposed_dequantize_per_tensor_default_1825 = None 2025-06-05T23:26:40.7494753Z quantized_decomposed_quantize_per_tensor_default_1318: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_122, 0.00030949688516557217, 28792, 0, 65535, torch.int32); aten_mul_tensor_122 = None 2025-06-05T23:26:40.7495935Z quantized_decomposed_dequantize_per_tensor_default_1830: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1318, 0.00030949688516557217, 28792, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1318 = None 2025-06-05T23:26:40.7497085Z aten_mul_tensor_123: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1815, quantized_decomposed_dequantize_per_tensor_default_1828); quantized_decomposed_dequantize_per_tensor_default_1815 = quantized_decomposed_dequantize_per_tensor_default_1828 = None 2025-06-05T23:26:40.7497980Z quantized_decomposed_quantize_per_tensor_default_1319: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_123, 0.00016250982298515737, 35603, 0, 65535, torch.int32); aten_mul_tensor_123 = None 2025-06-05T23:26:40.7499158Z quantized_decomposed_dequantize_per_tensor_default_1831: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1319, 0.00016250982298515737, 35603, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1319 = None 2025-06-05T23:26:40.7500313Z aten_sub_tensor_16: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(quantized_decomposed_dequantize_per_tensor_default_1830, quantized_decomposed_dequantize_per_tensor_default_1831); quantized_decomposed_dequantize_per_tensor_default_1830 = quantized_decomposed_dequantize_per_tensor_default_1831 = None 2025-06-05T23:26:40.7501194Z quantized_decomposed_quantize_per_tensor_default_1320: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sub_tensor_16, 0.0003295276255812496, 31046, 0, 65535, torch.int32); aten_sub_tensor_16 = None 2025-06-05T23:26:40.7501268Z 2025-06-05T23:26:40.7502250Z # File: .74:4681 in forward, code: dequantize_per_tensor_default_1477 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1477, 0.0003295276255812496, 31046, 0, 65535, torch.int32); quantize_per_tensor_default_1477 = None 2025-06-05T23:26:40.7503451Z quantized_decomposed_dequantize_per_tensor_default_1832: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1320, 0.0003295276255812496, 31046, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1320 = None 2025-06-05T23:26:40.7503527Z 2025-06-05T23:26:40.7504000Z # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos 2025-06-05T23:26:40.7505161Z aten_mul_tensor_124: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1813, quantized_decomposed_dequantize_per_tensor_default_1829); quantized_decomposed_dequantize_per_tensor_default_1813 = quantized_decomposed_dequantize_per_tensor_default_1829 = None 2025-06-05T23:26:40.7506058Z quantized_decomposed_quantize_per_tensor_default_1321: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_124, 0.00012979988241568208, 32122, 0, 65535, torch.int32); aten_mul_tensor_124 = None 2025-06-05T23:26:40.7507236Z quantized_decomposed_dequantize_per_tensor_default_1833: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1321, 0.00012979988241568208, 32122, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1321 = None 2025-06-05T23:26:40.7508378Z aten_mul_tensor_125: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1816, quantized_decomposed_dequantize_per_tensor_default_1824); quantized_decomposed_dequantize_per_tensor_default_1816 = quantized_decomposed_dequantize_per_tensor_default_1824 = None 2025-06-05T23:26:40.7509263Z quantized_decomposed_quantize_per_tensor_default_1322: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_125, 0.0003096680738963187, 32788, 0, 65535, torch.int32); aten_mul_tensor_125 = None 2025-06-05T23:26:40.7510458Z quantized_decomposed_dequantize_per_tensor_default_1834: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1322, 0.0003096680738963187, 32788, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1322 = None 2025-06-05T23:26:40.7511674Z aten_add_tensor_40: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_1833, quantized_decomposed_dequantize_per_tensor_default_1834); quantized_decomposed_dequantize_per_tensor_default_1833 = quantized_decomposed_dequantize_per_tensor_default_1834 = None 2025-06-05T23:26:40.7512551Z quantized_decomposed_quantize_per_tensor_default_1323: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_40, 0.0003295276255812496, 31046, 0, 65535, torch.int32); aten_add_tensor_40 = None 2025-06-05T23:26:40.7512628Z 2025-06-05T23:26:40.7513592Z # File: .74:4690 in forward, code: dequantize_per_tensor_default_1480 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1480, 0.0003295276255812496, 31046, 0, 65535, torch.int32); quantize_per_tensor_default_1480 = None 2025-06-05T23:26:40.7514788Z quantized_decomposed_dequantize_per_tensor_default_1835: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1323, 0.0003295276255812496, 31046, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1323 = None 2025-06-05T23:26:40.7514891Z 2025-06-05T23:26:40.7515378Z # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin 2025-06-05T23:26:40.7516527Z aten_mul_tensor_126: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1819, quantized_decomposed_dequantize_per_tensor_default_1823); quantized_decomposed_dequantize_per_tensor_default_1819 = quantized_decomposed_dequantize_per_tensor_default_1823 = None 2025-06-05T23:26:40.7517405Z quantized_decomposed_quantize_per_tensor_default_1324: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_126, 0.00037348963087424636, 32361, 0, 65535, torch.int32); aten_mul_tensor_126 = None 2025-06-05T23:26:40.7518621Z quantized_decomposed_dequantize_per_tensor_default_1836: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1324, 0.00037348963087424636, 32361, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1324 = None 2025-06-05T23:26:40.7519775Z aten_mul_tensor_127: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1820, quantized_decomposed_dequantize_per_tensor_default_1826); quantized_decomposed_dequantize_per_tensor_default_1820 = quantized_decomposed_dequantize_per_tensor_default_1826 = None 2025-06-05T23:26:40.7520656Z quantized_decomposed_quantize_per_tensor_default_1325: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_127, 0.00014117307728156447, 32406, 0, 65535, torch.int32); aten_mul_tensor_127 = None 2025-06-05T23:26:40.7521836Z quantized_decomposed_dequantize_per_tensor_default_1837: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1325, 0.00014117307728156447, 32406, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1325 = None 2025-06-05T23:26:40.7523018Z aten_sub_tensor_17: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(quantized_decomposed_dequantize_per_tensor_default_1836, quantized_decomposed_dequantize_per_tensor_default_1837); quantized_decomposed_dequantize_per_tensor_default_1836 = quantized_decomposed_dequantize_per_tensor_default_1837 = None 2025-06-05T23:26:40.7523875Z quantized_decomposed_quantize_per_tensor_default_1326: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sub_tensor_17, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_sub_tensor_17 = None 2025-06-05T23:26:40.7523955Z 2025-06-05T23:26:40.7524913Z # File: .74:4699 in forward, code: dequantize_per_tensor_default_1483 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1483, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantize_per_tensor_default_1483 = None 2025-06-05T23:26:40.7526068Z quantized_decomposed_dequantize_per_tensor_default_1838: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1326, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1326 = None 2025-06-05T23:26:40.7526162Z 2025-06-05T23:26:40.7526634Z # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos 2025-06-05T23:26:40.7527827Z aten_mul_tensor_128: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1818, quantized_decomposed_dequantize_per_tensor_default_1827); quantized_decomposed_dequantize_per_tensor_default_1818 = quantized_decomposed_dequantize_per_tensor_default_1827 = None 2025-06-05T23:26:40.7528717Z quantized_decomposed_quantize_per_tensor_default_1327: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_128, 0.00018785295833367854, 29230, 0, 65535, torch.int32); aten_mul_tensor_128 = None 2025-06-05T23:26:40.7529879Z quantized_decomposed_dequantize_per_tensor_default_1839: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1327, 0.00018785295833367854, 29230, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1327 = None 2025-06-05T23:26:40.7531057Z aten_mul_tensor_129: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1821, quantized_decomposed_dequantize_per_tensor_default_1822); quantized_decomposed_dequantize_per_tensor_default_1821 = quantized_decomposed_dequantize_per_tensor_default_1822 = None 2025-06-05T23:26:40.7531943Z quantized_decomposed_quantize_per_tensor_default_1328: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_129, 0.00037025712663307786, 38747, 0, 65535, torch.int32); aten_mul_tensor_129 = None 2025-06-05T23:26:40.7533107Z quantized_decomposed_dequantize_per_tensor_default_1840: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1328, 0.00037025712663307786, 38747, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1328 = None 2025-06-05T23:26:40.7534311Z aten_add_tensor_41: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_1839, quantized_decomposed_dequantize_per_tensor_default_1840); quantized_decomposed_dequantize_per_tensor_default_1839 = quantized_decomposed_dequantize_per_tensor_default_1840 = None 2025-06-05T23:26:40.7535322Z quantized_decomposed_quantize_per_tensor_default_1329: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_41, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_add_tensor_41 = None 2025-06-05T23:26:40.7535415Z 2025-06-05T23:26:40.7536425Z # File: .74:4708 in forward, code: dequantize_per_tensor_default_1486 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1486, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantize_per_tensor_default_1486 = None 2025-06-05T23:26:40.7537714Z quantized_decomposed_dequantize_per_tensor_default_1841: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1329, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1329 = None 2025-06-05T23:26:40.7537802Z 2025-06-05T23:26:40.7538386Z # File: /pytorch/executorch/examples/models/llama/rope.py:95 in apply_rotary_emb, code: xq_out = torch.stack([xq_out_r, xq_out_i], dim=-1).flatten(3) 2025-06-05T23:26:40.7539263Z aten_unsqueeze_copy_default_91: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1832, 4); quantized_decomposed_dequantize_per_tensor_default_1832 = None 2025-06-05T23:26:40.7540173Z aten_unsqueeze_copy_default_92: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1835, 4); quantized_decomposed_dequantize_per_tensor_default_1835 = None 2025-06-05T23:26:40.7540999Z aten_cat_default_32: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_unsqueeze_copy_default_91, aten_unsqueeze_copy_default_92], -1); aten_unsqueeze_copy_default_91 = aten_unsqueeze_copy_default_92 = None 2025-06-05T23:26:40.7541949Z quantized_decomposed_quantize_per_tensor_default_1330: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_32, 0.0003295276255812496, 31046, 0, 65535, torch.int32); aten_cat_default_32 = None 2025-06-05T23:26:40.7543232Z quantized_decomposed_dequantize_per_tensor_default_1842: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1330, 0.0003295276255812496, 31046, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1330 = None 2025-06-05T23:26:40.7544098Z aten_view_copy_default_151: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1842, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_1842 = None 2025-06-05T23:26:40.7545144Z quantized_decomposed_quantize_per_tensor_default_1331: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_151, 0.0003295276255812496, 31046, 0, 65535, torch.int32); aten_view_copy_default_151 = None 2025-06-05T23:26:40.7545225Z 2025-06-05T23:26:40.7546235Z # File: .74:4714 in forward, code: dequantize_per_tensor_default_1488 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1488, 0.0003295276255812496, 31046, 0, 65535, torch.int32); quantize_per_tensor_default_1488 = None 2025-06-05T23:26:40.7547537Z quantized_decomposed_dequantize_per_tensor_default_1843: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1331, 0.0003295276255812496, 31046, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1331 = None 2025-06-05T23:26:40.7547614Z 2025-06-05T23:26:40.7548235Z # File: /pytorch/executorch/examples/models/llama/rope.py:96 in apply_rotary_emb, code: xk_out = torch.stack([xk_out_r, xk_out_i], dim=-1).flatten(3) 2025-06-05T23:26:40.7549106Z aten_unsqueeze_copy_default_93: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1838, 4); quantized_decomposed_dequantize_per_tensor_default_1838 = None 2025-06-05T23:26:40.7549912Z aten_unsqueeze_copy_default_94: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1841, 4); quantized_decomposed_dequantize_per_tensor_default_1841 = None 2025-06-05T23:26:40.7550665Z aten_cat_default_33: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_unsqueeze_copy_default_93, aten_unsqueeze_copy_default_94], -1); aten_unsqueeze_copy_default_93 = aten_unsqueeze_copy_default_94 = None 2025-06-05T23:26:40.7551597Z quantized_decomposed_quantize_per_tensor_default_1332: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_33, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_cat_default_33 = None 2025-06-05T23:26:40.7552808Z quantized_decomposed_dequantize_per_tensor_default_1844: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1332, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1332 = None 2025-06-05T23:26:40.7553607Z aten_view_copy_default_152: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1844, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_1844 = None 2025-06-05T23:26:40.7554524Z quantized_decomposed_quantize_per_tensor_default_1333: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_152, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_view_copy_default_152 = None 2025-06-05T23:26:40.7554617Z 2025-06-05T23:26:40.7555571Z # File: .74:4720 in forward, code: dequantize_per_tensor_default_1490 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1490, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantize_per_tensor_default_1490 = None 2025-06-05T23:26:40.7556778Z quantized_decomposed_dequantize_per_tensor_default_1845: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1333, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1333 = None 2025-06-05T23:26:40.7556855Z 2025-06-05T23:26:40.7557619Z # File: .74:4722 in forward, code: quantize_per_tensor_default_1491 = torch.ops.quantized_decomposed.quantize_per_tensor.default(type_as_16, 0.0003295276255812496, 31046, 0, 65535, torch.int32); type_as_16 = None 2025-06-05T23:26:40.7558806Z quantized_decomposed_quantize_per_tensor_default_1334: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_1843, 0.0003295276255812496, 31046, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_1843 = None 2025-06-05T23:26:40.7558884Z 2025-06-05T23:26:40.7559414Z # File: /pytorch/executorch/examples/models/llama/attention.py:416 in forward, code: q = q.transpose(1, 2) # (bs, n_local_heads, seqlen, head_dim) 2025-06-05T23:26:40.7560624Z quantized_decomposed_dequantize_per_tensor_default_1846: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1334, 0.0003295276255812496, 31046, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1334 = None 2025-06-05T23:26:40.7560700Z 2025-06-05T23:26:40.7561455Z # File: .74:4725 in forward, code: quantize_per_tensor_default_1492 = torch.ops.quantized_decomposed.quantize_per_tensor.default(type_as_17, 0.000408027321100235, 35365, 0, 65535, torch.int32); type_as_17 = None 2025-06-05T23:26:40.7562640Z quantized_decomposed_quantize_per_tensor_default_1335: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_1845, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_1845 = None 2025-06-05T23:26:40.7562714Z 2025-06-05T23:26:40.7563394Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:510 in update, code: k_out = torch.ops.aten.index_put_(self.past_k_caches, [None, input_pos], k_val) 2025-06-05T23:26:40.7564626Z quantized_decomposed_dequantize_per_tensor_default_1847: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1335, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1335 = None 2025-06-05T23:26:40.7564758Z 2025-06-05T23:26:40.7565294Z # File: /pytorch/executorch/examples/models/llama/attention.py:416 in forward, code: q = q.transpose(1, 2) # (bs, n_local_heads, seqlen, head_dim) 2025-06-05T23:26:40.7566099Z aten_permute_copy_default_334: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1846, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1846 = None 2025-06-05T23:26:40.7567047Z quantized_decomposed_quantize_per_tensor_default_1336: "i32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_334, 0.0003295276255812496, 31046, 0, 65535, torch.int32); aten_permute_copy_default_334 = None 2025-06-05T23:26:40.7567162Z 2025-06-05T23:26:40.7567737Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:324 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-06-05T23:26:40.7568906Z quantized_decomposed_dequantize_per_tensor_default_1848: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1336, 0.0003295276255812496, 31046, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1336 = None 2025-06-05T23:26:40.7568995Z 2025-06-05T23:26:40.7569429Z # File: /pytorch/executorch/examples/models/llama/attention.py:435 in forward, code: attn_mask = self.mask[input_pos] 2025-06-05T23:26:40.7570229Z aten_index_tensor_10: "f32[1, 128]" = executorch_exir_dialects_edge__ops_aten_index_Tensor(quantized_decomposed_dequantize_per_tensor_default_137, [attn_options_input_pos]); quantized_decomposed_dequantize_per_tensor_default_137 = None 2025-06-05T23:26:40.7571129Z quantized_decomposed_quantize_per_tensor_default_1337: "i32[1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_tensor_10, 0.0038910505827516317, 65535, 0, 65535, torch.int32); aten_index_tensor_10 = None 2025-06-05T23:26:40.7571204Z 2025-06-05T23:26:40.7571683Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:325 in forward, code: attn_weight += attn_mask 2025-06-05T23:26:40.7573135Z quantized_decomposed_dequantize_per_tensor_default_1849: "f32[1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1337, 0.0038910505827516317, 65535, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1337 = None 2025-06-05T23:26:40.7573215Z 2025-06-05T23:26:40.7573906Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:510 in update, code: k_out = torch.ops.aten.index_put_(self.past_k_caches, [None, input_pos], k_val) 2025-06-05T23:26:40.7575227Z aten_index_put_default_16: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(quantized_decomposed_dequantize_per_tensor_default_138, [None, attn_options_input_pos], quantized_decomposed_dequantize_per_tensor_default_1847); quantized_decomposed_dequantize_per_tensor_default_138 = quantized_decomposed_dequantize_per_tensor_default_1847 = None 2025-06-05T23:26:40.7576140Z quantized_decomposed_quantize_per_tensor_default_1338: "i32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_put_default_16, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_index_put_default_16 = None 2025-06-05T23:26:40.7576229Z 2025-06-05T23:26:40.7577077Z # File: .74:4735 in forward, code: dequantize_per_tensor_default_1495 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1495, 0.000408027321100235, 35365, 0, 65535, torch.int32) 2025-06-05T23:26:40.7578046Z quantized_decomposed_dequantize_per_tensor_default_1850: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1338, 0.000408027321100235, 35365, 0, 65535, torch.int32) 2025-06-05T23:26:40.7578133Z 2025-06-05T23:26:40.7578776Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.7579718Z quantized_decomposed_dequantize_per_tensor_default_1851: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1338, 0.000408027321100235, 35365, 0, 65535, torch.int32) 2025-06-05T23:26:40.7580687Z quantized_decomposed_dequantize_per_tensor_default_1852: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1338, 0.000408027321100235, 35365, 0, 65535, torch.int32) 2025-06-05T23:26:40.7581623Z quantized_decomposed_dequantize_per_tensor_default_1853: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1338, 0.000408027321100235, 35365, 0, 65535, torch.int32) 2025-06-05T23:26:40.7582560Z quantized_decomposed_dequantize_per_tensor_default_1854: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1338, 0.000408027321100235, 35365, 0, 65535, torch.int32) 2025-06-05T23:26:40.7583494Z quantized_decomposed_dequantize_per_tensor_default_1855: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1338, 0.000408027321100235, 35365, 0, 65535, torch.int32) 2025-06-05T23:26:40.7584463Z quantized_decomposed_dequantize_per_tensor_default_1856: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1338, 0.000408027321100235, 35365, 0, 65535, torch.int32) 2025-06-05T23:26:40.7585395Z quantized_decomposed_dequantize_per_tensor_default_1857: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1338, 0.000408027321100235, 35365, 0, 65535, torch.int32) 2025-06-05T23:26:40.7586332Z quantized_decomposed_dequantize_per_tensor_default_1858: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1338, 0.000408027321100235, 35365, 0, 65535, torch.int32) 2025-06-05T23:26:40.7587277Z quantized_decomposed_dequantize_per_tensor_default_1859: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1338, 0.000408027321100235, 35365, 0, 65535, torch.int32) 2025-06-05T23:26:40.7588214Z quantized_decomposed_dequantize_per_tensor_default_1860: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1338, 0.000408027321100235, 35365, 0, 65535, torch.int32) 2025-06-05T23:26:40.7589154Z quantized_decomposed_dequantize_per_tensor_default_1861: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1338, 0.000408027321100235, 35365, 0, 65535, torch.int32) 2025-06-05T23:26:40.7590375Z quantized_decomposed_dequantize_per_tensor_default_1862: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1338, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1338 = None 2025-06-05T23:26:40.7590455Z 2025-06-05T23:26:40.7591216Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:511 in update, code: v_out = torch.ops.aten.index_put_(self.past_v_caches, [None, input_pos], v_val) 2025-06-05T23:26:40.7592526Z aten_index_put_default_17: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(quantized_decomposed_dequantize_per_tensor_default_139, [None, attn_options_input_pos], quantized_decomposed_dequantize_per_tensor_default_1811); quantized_decomposed_dequantize_per_tensor_default_139 = quantized_decomposed_dequantize_per_tensor_default_1811 = None 2025-06-05T23:26:40.7593495Z quantized_decomposed_quantize_per_tensor_default_1339: "i32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_put_default_17, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_index_put_default_17 = None 2025-06-05T23:26:40.7593575Z 2025-06-05T23:26:40.7594377Z # File: .74:4750 in forward, code: dequantize_per_tensor_default_1496 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1496, 0.0001714634709060192, 32914, 0, 65535, torch.int32) 2025-06-05T23:26:40.7595327Z quantized_decomposed_dequantize_per_tensor_default_1863: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1339, 0.0001714634709060192, 32914, 0, 65535, torch.int32) 2025-06-05T23:26:40.7595409Z 2025-06-05T23:26:40.7596052Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.7597023Z quantized_decomposed_dequantize_per_tensor_default_1864: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1339, 0.0001714634709060192, 32914, 0, 65535, torch.int32) 2025-06-05T23:26:40.7597960Z quantized_decomposed_dequantize_per_tensor_default_1865: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1339, 0.0001714634709060192, 32914, 0, 65535, torch.int32) 2025-06-05T23:26:40.7598909Z quantized_decomposed_dequantize_per_tensor_default_1866: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1339, 0.0001714634709060192, 32914, 0, 65535, torch.int32) 2025-06-05T23:26:40.7599843Z quantized_decomposed_dequantize_per_tensor_default_1867: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1339, 0.0001714634709060192, 32914, 0, 65535, torch.int32) 2025-06-05T23:26:40.7600771Z quantized_decomposed_dequantize_per_tensor_default_1868: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1339, 0.0001714634709060192, 32914, 0, 65535, torch.int32) 2025-06-05T23:26:40.7601740Z quantized_decomposed_dequantize_per_tensor_default_1869: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1339, 0.0001714634709060192, 32914, 0, 65535, torch.int32) 2025-06-05T23:26:40.7602695Z quantized_decomposed_dequantize_per_tensor_default_1870: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1339, 0.0001714634709060192, 32914, 0, 65535, torch.int32) 2025-06-05T23:26:40.7603637Z quantized_decomposed_dequantize_per_tensor_default_1871: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1339, 0.0001714634709060192, 32914, 0, 65535, torch.int32) 2025-06-05T23:26:40.7604570Z quantized_decomposed_dequantize_per_tensor_default_1872: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1339, 0.0001714634709060192, 32914, 0, 65535, torch.int32) 2025-06-05T23:26:40.7605593Z quantized_decomposed_dequantize_per_tensor_default_1873: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1339, 0.0001714634709060192, 32914, 0, 65535, torch.int32) 2025-06-05T23:26:40.7606537Z quantized_decomposed_dequantize_per_tensor_default_1874: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1339, 0.0001714634709060192, 32914, 0, 65535, torch.int32) 2025-06-05T23:26:40.7607716Z quantized_decomposed_dequantize_per_tensor_default_1875: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1339, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1339 = None 2025-06-05T23:26:40.7607810Z 2025-06-05T23:26:40.7608452Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.7609302Z aten_permute_copy_default_335: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1862, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1862 = None 2025-06-05T23:26:40.7610268Z quantized_decomposed_quantize_per_tensor_default_1340: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_335, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_permute_copy_default_335 = None 2025-06-05T23:26:40.7611455Z quantized_decomposed_dequantize_per_tensor_default_1876: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1340, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1340 = None 2025-06-05T23:26:40.7612226Z aten_select_copy_int_384: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1876, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1876 = None 2025-06-05T23:26:40.7613137Z quantized_decomposed_quantize_per_tensor_default_1341: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_384, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_select_copy_int_384 = None 2025-06-05T23:26:40.7614351Z quantized_decomposed_dequantize_per_tensor_default_1877: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1341, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1341 = None 2025-06-05T23:26:40.7615136Z aten_select_copy_int_385: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1877, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1877 = None 2025-06-05T23:26:40.7616041Z quantized_decomposed_quantize_per_tensor_default_1342: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_385, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_select_copy_int_385 = None 2025-06-05T23:26:40.7616134Z 2025-06-05T23:26:40.7617080Z # File: .74:4771 in forward, code: dequantize_per_tensor_default_1499 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1499, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantize_per_tensor_default_1499 = None 2025-06-05T23:26:40.7618273Z quantized_decomposed_dequantize_per_tensor_default_1878: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1342, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1342 = None 2025-06-05T23:26:40.7618366Z 2025-06-05T23:26:40.7619006Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.7619823Z aten_permute_copy_default_336: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1861, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1861 = None 2025-06-05T23:26:40.7620796Z quantized_decomposed_quantize_per_tensor_default_1343: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_336, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_permute_copy_default_336 = None 2025-06-05T23:26:40.7622001Z quantized_decomposed_dequantize_per_tensor_default_1879: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1343, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1343 = None 2025-06-05T23:26:40.7622770Z aten_select_copy_int_386: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1879, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1879 = None 2025-06-05T23:26:40.7623682Z quantized_decomposed_quantize_per_tensor_default_1344: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_386, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_select_copy_int_386 = None 2025-06-05T23:26:40.7624850Z quantized_decomposed_dequantize_per_tensor_default_1880: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1344, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1344 = None 2025-06-05T23:26:40.7625609Z aten_select_copy_int_387: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1880, 0, 1); quantized_decomposed_dequantize_per_tensor_default_1880 = None 2025-06-05T23:26:40.7626539Z quantized_decomposed_quantize_per_tensor_default_1345: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_387, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_select_copy_int_387 = None 2025-06-05T23:26:40.7626655Z 2025-06-05T23:26:40.7627602Z # File: .74:4780 in forward, code: dequantize_per_tensor_default_1502 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1502, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantize_per_tensor_default_1502 = None 2025-06-05T23:26:40.7628764Z quantized_decomposed_dequantize_per_tensor_default_1881: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1345, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1345 = None 2025-06-05T23:26:40.7628880Z 2025-06-05T23:26:40.7629528Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.7630340Z aten_permute_copy_default_337: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1860, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1860 = None 2025-06-05T23:26:40.7631362Z quantized_decomposed_quantize_per_tensor_default_1346: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_337, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_permute_copy_default_337 = None 2025-06-05T23:26:40.7632543Z quantized_decomposed_dequantize_per_tensor_default_1882: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1346, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1346 = None 2025-06-05T23:26:40.7633315Z aten_select_copy_int_388: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1882, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1882 = None 2025-06-05T23:26:40.7634254Z quantized_decomposed_quantize_per_tensor_default_1347: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_388, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_select_copy_int_388 = None 2025-06-05T23:26:40.7635434Z quantized_decomposed_dequantize_per_tensor_default_1883: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1347, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1347 = None 2025-06-05T23:26:40.7636183Z aten_select_copy_int_389: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1883, 0, 2); quantized_decomposed_dequantize_per_tensor_default_1883 = None 2025-06-05T23:26:40.7637085Z quantized_decomposed_quantize_per_tensor_default_1348: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_389, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_select_copy_int_389 = None 2025-06-05T23:26:40.7637175Z 2025-06-05T23:26:40.7638125Z # File: .74:4789 in forward, code: dequantize_per_tensor_default_1505 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1505, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantize_per_tensor_default_1505 = None 2025-06-05T23:26:40.7639340Z quantized_decomposed_dequantize_per_tensor_default_1884: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1348, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1348 = None 2025-06-05T23:26:40.7639431Z 2025-06-05T23:26:40.7640074Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.7640900Z aten_permute_copy_default_338: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1859, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1859 = None 2025-06-05T23:26:40.7641869Z quantized_decomposed_quantize_per_tensor_default_1349: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_338, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_permute_copy_default_338 = None 2025-06-05T23:26:40.7643036Z quantized_decomposed_dequantize_per_tensor_default_1885: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1349, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1349 = None 2025-06-05T23:26:40.7643787Z aten_select_copy_int_390: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1885, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1885 = None 2025-06-05T23:26:40.7644700Z quantized_decomposed_quantize_per_tensor_default_1350: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_390, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_select_copy_int_390 = None 2025-06-05T23:26:40.7645897Z quantized_decomposed_dequantize_per_tensor_default_1886: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1350, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1350 = None 2025-06-05T23:26:40.7646642Z aten_select_copy_int_391: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1886, 0, 3); quantized_decomposed_dequantize_per_tensor_default_1886 = None 2025-06-05T23:26:40.7647539Z quantized_decomposed_quantize_per_tensor_default_1351: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_391, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_select_copy_int_391 = None 2025-06-05T23:26:40.7647630Z 2025-06-05T23:26:40.7648579Z # File: .74:4798 in forward, code: dequantize_per_tensor_default_1508 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1508, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantize_per_tensor_default_1508 = None 2025-06-05T23:26:40.7649762Z quantized_decomposed_dequantize_per_tensor_default_1887: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1351, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1351 = None 2025-06-05T23:26:40.7649837Z 2025-06-05T23:26:40.7650477Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.7651362Z aten_permute_copy_default_339: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1858, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1858 = None 2025-06-05T23:26:40.7652314Z quantized_decomposed_quantize_per_tensor_default_1352: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_339, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_permute_copy_default_339 = None 2025-06-05T23:26:40.7653476Z quantized_decomposed_dequantize_per_tensor_default_1888: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1352, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1352 = None 2025-06-05T23:26:40.7654267Z aten_select_copy_int_392: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1888, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1888 = None 2025-06-05T23:26:40.7655169Z quantized_decomposed_quantize_per_tensor_default_1353: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_392, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_select_copy_int_392 = None 2025-06-05T23:26:40.7656344Z quantized_decomposed_dequantize_per_tensor_default_1889: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1353, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1353 = None 2025-06-05T23:26:40.7657091Z aten_select_copy_int_393: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1889, 0, 4); quantized_decomposed_dequantize_per_tensor_default_1889 = None 2025-06-05T23:26:40.7658013Z quantized_decomposed_quantize_per_tensor_default_1354: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_393, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_select_copy_int_393 = None 2025-06-05T23:26:40.7658103Z 2025-06-05T23:26:40.7659043Z # File: .74:4807 in forward, code: dequantize_per_tensor_default_1511 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1511, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantize_per_tensor_default_1511 = None 2025-06-05T23:26:40.7660220Z quantized_decomposed_dequantize_per_tensor_default_1890: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1354, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1354 = None 2025-06-05T23:26:40.7660297Z 2025-06-05T23:26:40.7660934Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.7661768Z aten_permute_copy_default_340: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1857, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1857 = None 2025-06-05T23:26:40.7662750Z quantized_decomposed_quantize_per_tensor_default_1355: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_340, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_permute_copy_default_340 = None 2025-06-05T23:26:40.7663949Z quantized_decomposed_dequantize_per_tensor_default_1891: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1355, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1355 = None 2025-06-05T23:26:40.7664712Z aten_select_copy_int_394: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1891, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1891 = None 2025-06-05T23:26:40.7665620Z quantized_decomposed_quantize_per_tensor_default_1356: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_394, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_select_copy_int_394 = None 2025-06-05T23:26:40.7666832Z quantized_decomposed_dequantize_per_tensor_default_1892: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1356, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1356 = None 2025-06-05T23:26:40.7667579Z aten_select_copy_int_395: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1892, 0, 5); quantized_decomposed_dequantize_per_tensor_default_1892 = None 2025-06-05T23:26:40.7668494Z quantized_decomposed_quantize_per_tensor_default_1357: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_395, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_select_copy_int_395 = None 2025-06-05T23:26:40.7668574Z 2025-06-05T23:26:40.7669515Z # File: .74:4816 in forward, code: dequantize_per_tensor_default_1514 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1514, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantize_per_tensor_default_1514 = None 2025-06-05T23:26:40.7670721Z quantized_decomposed_dequantize_per_tensor_default_1893: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1357, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1357 = None 2025-06-05T23:26:40.7670853Z 2025-06-05T23:26:40.7671503Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.7672334Z aten_permute_copy_default_341: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1856, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1856 = None 2025-06-05T23:26:40.7673503Z quantized_decomposed_quantize_per_tensor_default_1358: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_341, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_permute_copy_default_341 = None 2025-06-05T23:26:40.7674686Z quantized_decomposed_dequantize_per_tensor_default_1894: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1358, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1358 = None 2025-06-05T23:26:40.7675521Z aten_select_copy_int_396: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1894, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1894 = None 2025-06-05T23:26:40.7676497Z quantized_decomposed_quantize_per_tensor_default_1359: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_396, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_select_copy_int_396 = None 2025-06-05T23:26:40.7677674Z quantized_decomposed_dequantize_per_tensor_default_1895: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1359, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1359 = None 2025-06-05T23:26:40.7678455Z aten_select_copy_int_397: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1895, 0, 6); quantized_decomposed_dequantize_per_tensor_default_1895 = None 2025-06-05T23:26:40.7679366Z quantized_decomposed_quantize_per_tensor_default_1360: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_397, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_select_copy_int_397 = None 2025-06-05T23:26:40.7679443Z 2025-06-05T23:26:40.7680390Z # File: .74:4825 in forward, code: dequantize_per_tensor_default_1517 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1517, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantize_per_tensor_default_1517 = None 2025-06-05T23:26:40.7681565Z quantized_decomposed_dequantize_per_tensor_default_1896: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1360, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1360 = None 2025-06-05T23:26:40.7681645Z 2025-06-05T23:26:40.7682287Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.7683149Z aten_permute_copy_default_342: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1855, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1855 = None 2025-06-05T23:26:40.7684155Z quantized_decomposed_quantize_per_tensor_default_1361: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_342, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_permute_copy_default_342 = None 2025-06-05T23:26:40.7685381Z quantized_decomposed_dequantize_per_tensor_default_1897: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1361, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1361 = None 2025-06-05T23:26:40.7686133Z aten_select_copy_int_398: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1897, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1897 = None 2025-06-05T23:26:40.7687046Z quantized_decomposed_quantize_per_tensor_default_1362: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_398, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_select_copy_int_398 = None 2025-06-05T23:26:40.7688257Z quantized_decomposed_dequantize_per_tensor_default_1898: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1362, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1362 = None 2025-06-05T23:26:40.7689028Z aten_select_copy_int_399: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1898, 0, 7); quantized_decomposed_dequantize_per_tensor_default_1898 = None 2025-06-05T23:26:40.7689946Z quantized_decomposed_quantize_per_tensor_default_1363: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_399, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_select_copy_int_399 = None 2025-06-05T23:26:40.7690055Z 2025-06-05T23:26:40.7691014Z # File: .74:4834 in forward, code: dequantize_per_tensor_default_1520 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1520, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantize_per_tensor_default_1520 = None 2025-06-05T23:26:40.7692194Z quantized_decomposed_dequantize_per_tensor_default_1899: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1363, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1363 = None 2025-06-05T23:26:40.7692271Z 2025-06-05T23:26:40.7692911Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.7693739Z aten_permute_copy_default_343: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1854, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1854 = None 2025-06-05T23:26:40.7694725Z quantized_decomposed_quantize_per_tensor_default_1364: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_343, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_permute_copy_default_343 = None 2025-06-05T23:26:40.7696086Z quantized_decomposed_dequantize_per_tensor_default_1900: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1364, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1364 = None 2025-06-05T23:26:40.7696840Z aten_select_copy_int_400: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1900, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1900 = None 2025-06-05T23:26:40.7697749Z quantized_decomposed_quantize_per_tensor_default_1365: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_400, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_select_copy_int_400 = None 2025-06-05T23:26:40.7698928Z quantized_decomposed_dequantize_per_tensor_default_1901: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1365, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1365 = None 2025-06-05T23:26:40.7699668Z aten_select_copy_int_401: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1901, 0, 8); quantized_decomposed_dequantize_per_tensor_default_1901 = None 2025-06-05T23:26:40.7700644Z quantized_decomposed_quantize_per_tensor_default_1366: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_401, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_select_copy_int_401 = None 2025-06-05T23:26:40.7700721Z 2025-06-05T23:26:40.7701667Z # File: .74:4843 in forward, code: dequantize_per_tensor_default_1523 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1523, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantize_per_tensor_default_1523 = None 2025-06-05T23:26:40.7702835Z quantized_decomposed_dequantize_per_tensor_default_1902: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1366, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1366 = None 2025-06-05T23:26:40.7702939Z 2025-06-05T23:26:40.7703595Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.7704405Z aten_permute_copy_default_344: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1853, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1853 = None 2025-06-05T23:26:40.7705351Z quantized_decomposed_quantize_per_tensor_default_1367: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_344, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_permute_copy_default_344 = None 2025-06-05T23:26:40.7706533Z quantized_decomposed_dequantize_per_tensor_default_1903: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1367, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1367 = None 2025-06-05T23:26:40.7707284Z aten_select_copy_int_402: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1903, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1903 = None 2025-06-05T23:26:40.7708237Z quantized_decomposed_quantize_per_tensor_default_1368: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_402, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_select_copy_int_402 = None 2025-06-05T23:26:40.7709394Z quantized_decomposed_dequantize_per_tensor_default_1904: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1368, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1368 = None 2025-06-05T23:26:40.7710140Z aten_select_copy_int_403: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1904, 0, 9); quantized_decomposed_dequantize_per_tensor_default_1904 = None 2025-06-05T23:26:40.7711140Z quantized_decomposed_quantize_per_tensor_default_1369: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_403, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_select_copy_int_403 = None 2025-06-05T23:26:40.7711218Z 2025-06-05T23:26:40.7712198Z # File: .74:4852 in forward, code: dequantize_per_tensor_default_1526 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1526, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantize_per_tensor_default_1526 = None 2025-06-05T23:26:40.7713399Z quantized_decomposed_dequantize_per_tensor_default_1905: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1369, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1369 = None 2025-06-05T23:26:40.7713476Z 2025-06-05T23:26:40.7714127Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.7714945Z aten_permute_copy_default_345: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1852, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1852 = None 2025-06-05T23:26:40.7715921Z quantized_decomposed_quantize_per_tensor_default_1370: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_345, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_permute_copy_default_345 = None 2025-06-05T23:26:40.7717106Z quantized_decomposed_dequantize_per_tensor_default_1906: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1370, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1370 = None 2025-06-05T23:26:40.7717849Z aten_select_copy_int_404: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1906, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1906 = None 2025-06-05T23:26:40.7718765Z quantized_decomposed_quantize_per_tensor_default_1371: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_404, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_select_copy_int_404 = None 2025-06-05T23:26:40.7719953Z quantized_decomposed_dequantize_per_tensor_default_1907: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1371, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1371 = None 2025-06-05T23:26:40.7720699Z aten_select_copy_int_405: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1907, 0, 10); quantized_decomposed_dequantize_per_tensor_default_1907 = None 2025-06-05T23:26:40.7721618Z quantized_decomposed_quantize_per_tensor_default_1372: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_405, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_select_copy_int_405 = None 2025-06-05T23:26:40.7721695Z 2025-06-05T23:26:40.7722658Z # File: .74:4861 in forward, code: dequantize_per_tensor_default_1529 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1529, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantize_per_tensor_default_1529 = None 2025-06-05T23:26:40.7723822Z quantized_decomposed_dequantize_per_tensor_default_1908: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1372, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1372 = None 2025-06-05T23:26:40.7723899Z 2025-06-05T23:26:40.7724581Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.7725416Z aten_permute_copy_default_346: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1851, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1851 = None 2025-06-05T23:26:40.7726361Z quantized_decomposed_quantize_per_tensor_default_1373: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_346, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_permute_copy_default_346 = None 2025-06-05T23:26:40.7727541Z quantized_decomposed_dequantize_per_tensor_default_1909: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1373, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1373 = None 2025-06-05T23:26:40.7728315Z aten_select_copy_int_406: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1909, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1909 = None 2025-06-05T23:26:40.7729241Z quantized_decomposed_quantize_per_tensor_default_1374: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_406, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_select_copy_int_406 = None 2025-06-05T23:26:40.7730408Z quantized_decomposed_dequantize_per_tensor_default_1910: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1374, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1374 = None 2025-06-05T23:26:40.7731167Z aten_select_copy_int_407: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1910, 0, 11); quantized_decomposed_dequantize_per_tensor_default_1910 = None 2025-06-05T23:26:40.7732086Z quantized_decomposed_quantize_per_tensor_default_1375: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_407, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_select_copy_int_407 = None 2025-06-05T23:26:40.7732165Z 2025-06-05T23:26:40.7733121Z # File: .74:4870 in forward, code: dequantize_per_tensor_default_1532 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1532, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantize_per_tensor_default_1532 = None 2025-06-05T23:26:40.7734288Z quantized_decomposed_dequantize_per_tensor_default_1911: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1375, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1375 = None 2025-06-05T23:26:40.7734364Z 2025-06-05T23:26:40.7735017Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.7740746Z aten_cat_default_34: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([quantized_decomposed_dequantize_per_tensor_default_1878, quantized_decomposed_dequantize_per_tensor_default_1881, quantized_decomposed_dequantize_per_tensor_default_1884, quantized_decomposed_dequantize_per_tensor_default_1887, quantized_decomposed_dequantize_per_tensor_default_1890, quantized_decomposed_dequantize_per_tensor_default_1893, quantized_decomposed_dequantize_per_tensor_default_1896, quantized_decomposed_dequantize_per_tensor_default_1899, quantized_decomposed_dequantize_per_tensor_default_1902, quantized_decomposed_dequantize_per_tensor_default_1905, quantized_decomposed_dequantize_per_tensor_default_1908, quantized_decomposed_dequantize_per_tensor_default_1911]); quantized_decomposed_dequantize_per_tensor_default_1878 = quantized_decomposed_dequantize_per_tensor_default_1881 = quantized_decomposed_dequantize_per_tensor_default_1884 = quantized_decomposed_dequantize_per_tensor_default_1887 = quantized_decomposed_dequantize_per_tensor_default_1890 = quantized_decomposed_dequantize_per_tensor_default_1893 = quantized_decomposed_dequantize_per_tensor_default_1896 = quantized_decomposed_dequantize_per_tensor_default_1899 = quantized_decomposed_dequantize_per_tensor_default_1902 = quantized_decomposed_dequantize_per_tensor_default_1905 = quantized_decomposed_dequantize_per_tensor_default_1908 = quantized_decomposed_dequantize_per_tensor_default_1911 = None 2025-06-05T23:26:40.7741692Z quantized_decomposed_quantize_per_tensor_default_1376: "i32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_34, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_cat_default_34 = None 2025-06-05T23:26:40.7742876Z quantized_decomposed_dequantize_per_tensor_default_1912: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1376, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1376 = None 2025-06-05T23:26:40.7743667Z aten_view_copy_default_153: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1912, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_1912 = None 2025-06-05T23:26:40.7744594Z quantized_decomposed_quantize_per_tensor_default_1377: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_153, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_view_copy_default_153 = None 2025-06-05T23:26:40.7744683Z 2025-06-05T23:26:40.7745306Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:324 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-06-05T23:26:40.7746482Z quantized_decomposed_dequantize_per_tensor_default_1913: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1377, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1377 = None 2025-06-05T23:26:40.7746576Z 2025-06-05T23:26:40.7747222Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.7748036Z aten_permute_copy_default_347: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1875, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1875 = None 2025-06-05T23:26:40.7749005Z quantized_decomposed_quantize_per_tensor_default_1378: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_347, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_permute_copy_default_347 = None 2025-06-05T23:26:40.7750201Z quantized_decomposed_dequantize_per_tensor_default_1914: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1378, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1378 = None 2025-06-05T23:26:40.7751059Z aten_select_copy_int_408: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1914, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1914 = None 2025-06-05T23:26:40.7751973Z quantized_decomposed_quantize_per_tensor_default_1379: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_408, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_select_copy_int_408 = None 2025-06-05T23:26:40.7753165Z quantized_decomposed_dequantize_per_tensor_default_1915: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1379, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1379 = None 2025-06-05T23:26:40.7753936Z aten_select_copy_int_409: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1915, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1915 = None 2025-06-05T23:26:40.7754846Z quantized_decomposed_quantize_per_tensor_default_1380: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_409, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_select_copy_int_409 = None 2025-06-05T23:26:40.7754937Z 2025-06-05T23:26:40.7755887Z # File: .74:4885 in forward, code: dequantize_per_tensor_default_1537 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1537, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantize_per_tensor_default_1537 = None 2025-06-05T23:26:40.7757061Z quantized_decomposed_dequantize_per_tensor_default_1916: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1380, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1380 = None 2025-06-05T23:26:40.7757150Z 2025-06-05T23:26:40.7757814Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.7758640Z aten_permute_copy_default_348: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1874, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1874 = None 2025-06-05T23:26:40.7759601Z quantized_decomposed_quantize_per_tensor_default_1381: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_348, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_permute_copy_default_348 = None 2025-06-05T23:26:40.7760773Z quantized_decomposed_dequantize_per_tensor_default_1917: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1381, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1381 = None 2025-06-05T23:26:40.7761531Z aten_select_copy_int_410: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1917, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1917 = None 2025-06-05T23:26:40.7762459Z quantized_decomposed_quantize_per_tensor_default_1382: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_410, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_select_copy_int_410 = None 2025-06-05T23:26:40.7763672Z quantized_decomposed_dequantize_per_tensor_default_1918: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1382, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1382 = None 2025-06-05T23:26:40.7764410Z aten_select_copy_int_411: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1918, 0, 1); quantized_decomposed_dequantize_per_tensor_default_1918 = None 2025-06-05T23:26:40.7765309Z quantized_decomposed_quantize_per_tensor_default_1383: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_411, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_select_copy_int_411 = None 2025-06-05T23:26:40.7765427Z 2025-06-05T23:26:40.7766376Z # File: .74:4894 in forward, code: dequantize_per_tensor_default_1540 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1540, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantize_per_tensor_default_1540 = None 2025-06-05T23:26:40.7767558Z quantized_decomposed_dequantize_per_tensor_default_1919: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1383, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1383 = None 2025-06-05T23:26:40.7767635Z 2025-06-05T23:26:40.7768279Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.7769106Z aten_permute_copy_default_349: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1873, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1873 = None 2025-06-05T23:26:40.7770086Z quantized_decomposed_quantize_per_tensor_default_1384: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_349, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_permute_copy_default_349 = None 2025-06-05T23:26:40.7771266Z quantized_decomposed_dequantize_per_tensor_default_1920: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1384, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1384 = None 2025-06-05T23:26:40.7772031Z aten_select_copy_int_412: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1920, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1920 = None 2025-06-05T23:26:40.7773165Z quantized_decomposed_quantize_per_tensor_default_1385: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_412, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_select_copy_int_412 = None 2025-06-05T23:26:40.7774358Z quantized_decomposed_dequantize_per_tensor_default_1921: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1385, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1385 = None 2025-06-05T23:26:40.7775236Z aten_select_copy_int_413: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1921, 0, 2); quantized_decomposed_dequantize_per_tensor_default_1921 = None 2025-06-05T23:26:40.7776147Z quantized_decomposed_quantize_per_tensor_default_1386: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_413, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_select_copy_int_413 = None 2025-06-05T23:26:40.7776242Z 2025-06-05T23:26:40.7777187Z # File: .74:4903 in forward, code: dequantize_per_tensor_default_1543 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1543, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantize_per_tensor_default_1543 = None 2025-06-05T23:26:40.7778410Z quantized_decomposed_dequantize_per_tensor_default_1922: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1386, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1386 = None 2025-06-05T23:26:40.7778491Z 2025-06-05T23:26:40.7779133Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.7779967Z aten_permute_copy_default_350: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1872, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1872 = None 2025-06-05T23:26:40.7780921Z quantized_decomposed_quantize_per_tensor_default_1387: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_350, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_permute_copy_default_350 = None 2025-06-05T23:26:40.7782111Z quantized_decomposed_dequantize_per_tensor_default_1923: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1387, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1387 = None 2025-06-05T23:26:40.7782916Z aten_select_copy_int_414: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1923, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1923 = None 2025-06-05T23:26:40.7783822Z quantized_decomposed_quantize_per_tensor_default_1388: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_414, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_select_copy_int_414 = None 2025-06-05T23:26:40.7785010Z quantized_decomposed_dequantize_per_tensor_default_1924: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1388, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1388 = None 2025-06-05T23:26:40.7785756Z aten_select_copy_int_415: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1924, 0, 3); quantized_decomposed_dequantize_per_tensor_default_1924 = None 2025-06-05T23:26:40.7786671Z quantized_decomposed_quantize_per_tensor_default_1389: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_415, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_select_copy_int_415 = None 2025-06-05T23:26:40.7786775Z 2025-06-05T23:26:40.7787743Z # File: .74:4912 in forward, code: dequantize_per_tensor_default_1546 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1546, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantize_per_tensor_default_1546 = None 2025-06-05T23:26:40.7788918Z quantized_decomposed_dequantize_per_tensor_default_1925: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1389, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1389 = None 2025-06-05T23:26:40.7788993Z 2025-06-05T23:26:40.7789634Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.7790491Z aten_permute_copy_default_351: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1871, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1871 = None 2025-06-05T23:26:40.7791525Z quantized_decomposed_quantize_per_tensor_default_1390: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_351, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_permute_copy_default_351 = None 2025-06-05T23:26:40.7792715Z quantized_decomposed_dequantize_per_tensor_default_1926: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1390, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1390 = None 2025-06-05T23:26:40.7793474Z aten_select_copy_int_416: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1926, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1926 = None 2025-06-05T23:26:40.7794408Z quantized_decomposed_quantize_per_tensor_default_1391: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_416, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_select_copy_int_416 = None 2025-06-05T23:26:40.7795589Z quantized_decomposed_dequantize_per_tensor_default_1927: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1391, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1391 = None 2025-06-05T23:26:40.7796329Z aten_select_copy_int_417: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1927, 0, 4); quantized_decomposed_dequantize_per_tensor_default_1927 = None 2025-06-05T23:26:40.7797248Z quantized_decomposed_quantize_per_tensor_default_1392: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_417, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_select_copy_int_417 = None 2025-06-05T23:26:40.7797324Z 2025-06-05T23:26:40.7798278Z # File: .74:4921 in forward, code: dequantize_per_tensor_default_1549 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1549, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantize_per_tensor_default_1549 = None 2025-06-05T23:26:40.7799488Z quantized_decomposed_dequantize_per_tensor_default_1928: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1392, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1392 = None 2025-06-05T23:26:40.7799626Z 2025-06-05T23:26:40.7800268Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.7801093Z aten_permute_copy_default_352: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1870, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1870 = None 2025-06-05T23:26:40.7802045Z quantized_decomposed_quantize_per_tensor_default_1393: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_352, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_permute_copy_default_352 = None 2025-06-05T23:26:40.7803251Z quantized_decomposed_dequantize_per_tensor_default_1929: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1393, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1393 = None 2025-06-05T23:26:40.7803999Z aten_select_copy_int_418: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1929, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1929 = None 2025-06-05T23:26:40.7804905Z quantized_decomposed_quantize_per_tensor_default_1394: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_418, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_select_copy_int_418 = None 2025-06-05T23:26:40.7806089Z quantized_decomposed_dequantize_per_tensor_default_1930: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1394, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1394 = None 2025-06-05T23:26:40.7806855Z aten_select_copy_int_419: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1930, 0, 5); quantized_decomposed_dequantize_per_tensor_default_1930 = None 2025-06-05T23:26:40.7807775Z quantized_decomposed_quantize_per_tensor_default_1395: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_419, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_select_copy_int_419 = None 2025-06-05T23:26:40.7807852Z 2025-06-05T23:26:40.7808809Z # File: .74:4930 in forward, code: dequantize_per_tensor_default_1552 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1552, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantize_per_tensor_default_1552 = None 2025-06-05T23:26:40.7809996Z quantized_decomposed_dequantize_per_tensor_default_1931: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1395, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1395 = None 2025-06-05T23:26:40.7810070Z 2025-06-05T23:26:40.7810712Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.7811561Z aten_permute_copy_default_353: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1869, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1869 = None 2025-06-05T23:26:40.7812542Z quantized_decomposed_quantize_per_tensor_default_1396: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_353, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_permute_copy_default_353 = None 2025-06-05T23:26:40.7813732Z quantized_decomposed_dequantize_per_tensor_default_1932: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1396, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1396 = None 2025-06-05T23:26:40.7814507Z aten_select_copy_int_420: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1932, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1932 = None 2025-06-05T23:26:40.7815435Z quantized_decomposed_quantize_per_tensor_default_1397: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_420, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_select_copy_int_420 = None 2025-06-05T23:26:40.7816603Z quantized_decomposed_dequantize_per_tensor_default_1933: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1397, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1397 = None 2025-06-05T23:26:40.7817347Z aten_select_copy_int_421: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1933, 0, 6); quantized_decomposed_dequantize_per_tensor_default_1933 = None 2025-06-05T23:26:40.7818263Z quantized_decomposed_quantize_per_tensor_default_1398: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_421, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_select_copy_int_421 = None 2025-06-05T23:26:40.7818340Z 2025-06-05T23:26:40.7819314Z # File: .74:4939 in forward, code: dequantize_per_tensor_default_1555 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1555, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantize_per_tensor_default_1555 = None 2025-06-05T23:26:40.7820497Z quantized_decomposed_dequantize_per_tensor_default_1934: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1398, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1398 = None 2025-06-05T23:26:40.7820577Z 2025-06-05T23:26:40.7821233Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.7822042Z aten_permute_copy_default_354: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1868, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1868 = None 2025-06-05T23:26:40.7822997Z quantized_decomposed_quantize_per_tensor_default_1399: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_354, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_permute_copy_default_354 = None 2025-06-05T23:26:40.7824210Z quantized_decomposed_dequantize_per_tensor_default_1935: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1399, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1399 = None 2025-06-05T23:26:40.7824986Z aten_select_copy_int_422: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1935, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1935 = None 2025-06-05T23:26:40.7825908Z quantized_decomposed_quantize_per_tensor_default_1400: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_422, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_select_copy_int_422 = None 2025-06-05T23:26:40.7827092Z quantized_decomposed_dequantize_per_tensor_default_1936: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1400, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1400 = None 2025-06-05T23:26:40.7827835Z aten_select_copy_int_423: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1936, 0, 7); quantized_decomposed_dequantize_per_tensor_default_1936 = None 2025-06-05T23:26:40.7828748Z quantized_decomposed_quantize_per_tensor_default_1401: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_423, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_select_copy_int_423 = None 2025-06-05T23:26:40.7828823Z 2025-06-05T23:26:40.7829787Z # File: .74:4948 in forward, code: dequantize_per_tensor_default_1558 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1558, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantize_per_tensor_default_1558 = None 2025-06-05T23:26:40.7831033Z quantized_decomposed_dequantize_per_tensor_default_1937: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1401, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1401 = None 2025-06-05T23:26:40.7831138Z 2025-06-05T23:26:40.7831793Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.7832597Z aten_permute_copy_default_355: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1867, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1867 = None 2025-06-05T23:26:40.7833564Z quantized_decomposed_quantize_per_tensor_default_1402: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_355, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_permute_copy_default_355 = None 2025-06-05T23:26:40.7834746Z quantized_decomposed_dequantize_per_tensor_default_1938: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1402, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1402 = None 2025-06-05T23:26:40.7835491Z aten_select_copy_int_424: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1938, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1938 = None 2025-06-05T23:26:40.7836476Z quantized_decomposed_quantize_per_tensor_default_1403: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_424, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_select_copy_int_424 = None 2025-06-05T23:26:40.7837660Z quantized_decomposed_dequantize_per_tensor_default_1939: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1403, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1403 = None 2025-06-05T23:26:40.7838402Z aten_select_copy_int_425: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1939, 0, 8); quantized_decomposed_dequantize_per_tensor_default_1939 = None 2025-06-05T23:26:40.7839346Z quantized_decomposed_quantize_per_tensor_default_1404: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_425, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_select_copy_int_425 = None 2025-06-05T23:26:40.7839425Z 2025-06-05T23:26:40.7840391Z # File: .74:4957 in forward, code: dequantize_per_tensor_default_1561 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1561, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantize_per_tensor_default_1561 = None 2025-06-05T23:26:40.7841556Z quantized_decomposed_dequantize_per_tensor_default_1940: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1404, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1404 = None 2025-06-05T23:26:40.7841635Z 2025-06-05T23:26:40.7842292Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.7843103Z aten_permute_copy_default_356: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1866, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1866 = None 2025-06-05T23:26:40.7844086Z quantized_decomposed_quantize_per_tensor_default_1405: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_356, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_permute_copy_default_356 = None 2025-06-05T23:26:40.7845271Z quantized_decomposed_dequantize_per_tensor_default_1941: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1405, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1405 = None 2025-06-05T23:26:40.7846019Z aten_select_copy_int_426: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1941, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1941 = None 2025-06-05T23:26:40.7846950Z quantized_decomposed_quantize_per_tensor_default_1406: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_426, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_select_copy_int_426 = None 2025-06-05T23:26:40.7848149Z quantized_decomposed_dequantize_per_tensor_default_1942: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1406, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1406 = None 2025-06-05T23:26:40.7848927Z aten_select_copy_int_427: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1942, 0, 9); quantized_decomposed_dequantize_per_tensor_default_1942 = None 2025-06-05T23:26:40.7849837Z quantized_decomposed_quantize_per_tensor_default_1407: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_427, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_select_copy_int_427 = None 2025-06-05T23:26:40.7849912Z 2025-06-05T23:26:40.7850866Z # File: .74:4966 in forward, code: dequantize_per_tensor_default_1564 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1564, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantize_per_tensor_default_1564 = None 2025-06-05T23:26:40.7852053Z quantized_decomposed_dequantize_per_tensor_default_1943: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1407, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1407 = None 2025-06-05T23:26:40.7852129Z 2025-06-05T23:26:40.7852782Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.7853595Z aten_permute_copy_default_357: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1865, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1865 = None 2025-06-05T23:26:40.7854556Z quantized_decomposed_quantize_per_tensor_default_1408: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_357, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_permute_copy_default_357 = None 2025-06-05T23:26:40.7855755Z quantized_decomposed_dequantize_per_tensor_default_1944: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1408, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1408 = None 2025-06-05T23:26:40.7856615Z aten_select_copy_int_428: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1944, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1944 = None 2025-06-05T23:26:40.7857536Z quantized_decomposed_quantize_per_tensor_default_1409: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_428, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_select_copy_int_428 = None 2025-06-05T23:26:40.7858718Z quantized_decomposed_dequantize_per_tensor_default_1945: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1409, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1409 = None 2025-06-05T23:26:40.7859469Z aten_select_copy_int_429: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1945, 0, 10); quantized_decomposed_dequantize_per_tensor_default_1945 = None 2025-06-05T23:26:40.7860399Z quantized_decomposed_quantize_per_tensor_default_1410: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_429, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_select_copy_int_429 = None 2025-06-05T23:26:40.7860504Z 2025-06-05T23:26:40.7861465Z # File: .74:4975 in forward, code: dequantize_per_tensor_default_1567 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1567, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantize_per_tensor_default_1567 = None 2025-06-05T23:26:40.7862629Z quantized_decomposed_dequantize_per_tensor_default_1946: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1410, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1410 = None 2025-06-05T23:26:40.7862731Z 2025-06-05T23:26:40.7863382Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.7864197Z aten_permute_copy_default_358: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1864, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1864 = None 2025-06-05T23:26:40.7865168Z quantized_decomposed_quantize_per_tensor_default_1411: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_358, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_permute_copy_default_358 = None 2025-06-05T23:26:40.7866341Z quantized_decomposed_dequantize_per_tensor_default_1947: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1411, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1411 = None 2025-06-05T23:26:40.7867256Z aten_select_copy_int_430: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1947, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1947 = None 2025-06-05T23:26:40.7868250Z quantized_decomposed_quantize_per_tensor_default_1412: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_430, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_select_copy_int_430 = None 2025-06-05T23:26:40.7869419Z quantized_decomposed_dequantize_per_tensor_default_1948: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1412, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1412 = None 2025-06-05T23:26:40.7870176Z aten_select_copy_int_431: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1948, 0, 11); quantized_decomposed_dequantize_per_tensor_default_1948 = None 2025-06-05T23:26:40.7871178Z quantized_decomposed_quantize_per_tensor_default_1413: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_431, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_select_copy_int_431 = None 2025-06-05T23:26:40.7871255Z 2025-06-05T23:26:40.7872223Z # File: .74:4984 in forward, code: dequantize_per_tensor_default_1570 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1570, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantize_per_tensor_default_1570 = None 2025-06-05T23:26:40.7873659Z quantized_decomposed_dequantize_per_tensor_default_1949: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1413, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1413 = None 2025-06-05T23:26:40.7873786Z 2025-06-05T23:26:40.7874429Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.7880131Z aten_cat_default_35: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([quantized_decomposed_dequantize_per_tensor_default_1916, quantized_decomposed_dequantize_per_tensor_default_1919, quantized_decomposed_dequantize_per_tensor_default_1922, quantized_decomposed_dequantize_per_tensor_default_1925, quantized_decomposed_dequantize_per_tensor_default_1928, quantized_decomposed_dequantize_per_tensor_default_1931, quantized_decomposed_dequantize_per_tensor_default_1934, quantized_decomposed_dequantize_per_tensor_default_1937, quantized_decomposed_dequantize_per_tensor_default_1940, quantized_decomposed_dequantize_per_tensor_default_1943, quantized_decomposed_dequantize_per_tensor_default_1946, quantized_decomposed_dequantize_per_tensor_default_1949]); quantized_decomposed_dequantize_per_tensor_default_1916 = quantized_decomposed_dequantize_per_tensor_default_1919 = quantized_decomposed_dequantize_per_tensor_default_1922 = quantized_decomposed_dequantize_per_tensor_default_1925 = quantized_decomposed_dequantize_per_tensor_default_1928 = quantized_decomposed_dequantize_per_tensor_default_1931 = quantized_decomposed_dequantize_per_tensor_default_1934 = quantized_decomposed_dequantize_per_tensor_default_1937 = quantized_decomposed_dequantize_per_tensor_default_1940 = quantized_decomposed_dequantize_per_tensor_default_1943 = quantized_decomposed_dequantize_per_tensor_default_1946 = quantized_decomposed_dequantize_per_tensor_default_1949 = None 2025-06-05T23:26:40.7881055Z quantized_decomposed_quantize_per_tensor_default_1414: "i32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_35, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_cat_default_35 = None 2025-06-05T23:26:40.7882276Z quantized_decomposed_dequantize_per_tensor_default_1950: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1414, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1414 = None 2025-06-05T23:26:40.7883073Z aten_view_copy_default_154: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1950, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_1950 = None 2025-06-05T23:26:40.7884022Z quantized_decomposed_quantize_per_tensor_default_1415: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_154, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_view_copy_default_154 = None 2025-06-05T23:26:40.7884098Z 2025-06-05T23:26:40.7885054Z # File: .74:4990 in forward, code: dequantize_per_tensor_default_1572 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1572, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantize_per_tensor_default_1572 = None 2025-06-05T23:26:40.7886239Z quantized_decomposed_dequantize_per_tensor_default_1951: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1415, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1415 = None 2025-06-05T23:26:40.7886359Z 2025-06-05T23:26:40.7887346Z # File: .74:4991 in forward, code: quantize_per_tensor_default_1573 = torch.ops.quantized_decomposed.quantize_per_tensor.default(dequantize_per_tensor_default_1572, 0.00017223355825990438, 0, -32767, 32767, torch.int16); dequantize_per_tensor_default_1572 = None 2025-06-05T23:26:40.7888542Z quantized_decomposed_quantize_per_tensor_default_1416: "i16[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_1951, 0.00017223355825990438, 0, -32767, 32767, torch.int16); quantized_decomposed_dequantize_per_tensor_default_1951 = None 2025-06-05T23:26:40.7888616Z 2025-06-05T23:26:40.7889078Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:327 in forward, code: y = attn_weight @ v 2025-06-05T23:26:40.7890292Z quantized_decomposed_dequantize_per_tensor_default_1952: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1416, 0.00017223355825990438, 0, -32767, 32767, torch.int16); quantized_decomposed_quantize_per_tensor_default_1416 = None 2025-06-05T23:26:40.7890368Z 2025-06-05T23:26:40.7890946Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:324 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-06-05T23:26:40.7891774Z aten_permute_copy_default_359: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1913, [0, 1, 3, 2]); quantized_decomposed_dequantize_per_tensor_default_1913 = None 2025-06-05T23:26:40.7892726Z quantized_decomposed_quantize_per_tensor_default_1417: "i32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_359, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_permute_copy_default_359 = None 2025-06-05T23:26:40.7892817Z 2025-06-05T23:26:40.7893762Z # File: .74:4995 in forward, code: dequantize_per_tensor_default_1574 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1574, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantize_per_tensor_default_1574 = None 2025-06-05T23:26:40.7894951Z quantized_decomposed_dequantize_per_tensor_default_1953: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1417, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1417 = None 2025-06-05T23:26:40.7895043Z 2025-06-05T23:26:40.7895999Z # File: .74:4996 in forward, code: quantize_per_tensor_default_1575 = torch.ops.quantized_decomposed.quantize_per_tensor.default(dequantize_per_tensor_default_1574, 0.00044038108899258077, 0, -32767, 32767, torch.int16); dequantize_per_tensor_default_1574 = None 2025-06-05T23:26:40.7897191Z quantized_decomposed_quantize_per_tensor_default_1418: "i16[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_1953, 0.00044038108899258077, 0, -32767, 32767, torch.int16); quantized_decomposed_dequantize_per_tensor_default_1953 = None 2025-06-05T23:26:40.7897268Z 2025-06-05T23:26:40.7897844Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:324 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-06-05T23:26:40.7899064Z quantized_decomposed_dequantize_per_tensor_default_1954: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1418, 0.00044038108899258077, 0, -32767, 32767, torch.int16); quantized_decomposed_quantize_per_tensor_default_1418 = None 2025-06-05T23:26:40.7899884Z aten_expand_copy_default_32: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_1848, [1, 12, 1, 64]); quantized_decomposed_dequantize_per_tensor_default_1848 = None 2025-06-05T23:26:40.7900441Z aten_view_copy_default_155: "f32[12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_32, [12, 1, 64]); aten_expand_copy_default_32 = None 2025-06-05T23:26:40.7901256Z aten_expand_copy_default_33: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_1954, [1, 12, 64, 128]); quantized_decomposed_dequantize_per_tensor_default_1954 = None 2025-06-05T23:26:40.7901850Z aten_view_copy_default_156: "f32[12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_33, [12, 64, 128]); aten_expand_copy_default_33 = None 2025-06-05T23:26:40.7902520Z aten_bmm_default_16: "f32[12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_155, aten_view_copy_default_156); aten_view_copy_default_155 = aten_view_copy_default_156 = None 2025-06-05T23:26:40.7903039Z aten_view_copy_default_157: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_16, [1, 12, 1, 128]); aten_bmm_default_16 = None 2025-06-05T23:26:40.7903966Z quantized_decomposed_quantize_per_tensor_default_1419: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_157, 0.0028048588428646326, 32779, 0, 65535, torch.int32); aten_view_copy_default_157 = None 2025-06-05T23:26:40.7905149Z quantized_decomposed_dequantize_per_tensor_default_1955: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1419, 0.0028048588428646326, 32779, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1419 = None 2025-06-05T23:26:40.7906035Z quantized_decomposed_dequantize_per_tensor_default_1956: "f32[]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(b__frozen_param157, 1.9073777366429567e-06, 0, 0, 65535, torch.int32); b__frozen_param157 = None 2025-06-05T23:26:40.7907207Z aten_mul_tensor_130: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1955, quantized_decomposed_dequantize_per_tensor_default_1956); quantized_decomposed_dequantize_per_tensor_default_1955 = quantized_decomposed_dequantize_per_tensor_default_1956 = None 2025-06-05T23:26:40.7908088Z quantized_decomposed_quantize_per_tensor_default_1420: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_130, 0.0003506073553580791, 32779, 0, 65535, torch.int32); aten_mul_tensor_130 = None 2025-06-05T23:26:40.7908163Z 2025-06-05T23:26:40.7908661Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:325 in forward, code: attn_weight += attn_mask 2025-06-05T23:26:40.7909830Z quantized_decomposed_dequantize_per_tensor_default_1957: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1420, 0.0003506073553580791, 32779, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1420 = None 2025-06-05T23:26:40.7911096Z aten_add_tensor_42: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_1957, quantized_decomposed_dequantize_per_tensor_default_1849); quantized_decomposed_dequantize_per_tensor_default_1957 = quantized_decomposed_dequantize_per_tensor_default_1849 = None 2025-06-05T23:26:40.7912008Z quantized_decomposed_quantize_per_tensor_default_1421: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_42, 0.0042004697024822235, 62801, 0, 65535, torch.int32); aten_add_tensor_42 = None 2025-06-05T23:26:40.7912087Z 2025-06-05T23:26:40.7912671Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:326 in forward, code: attn_weight = torch.softmax(attn_weight, dim=-1) 2025-06-05T23:26:40.7913837Z quantized_decomposed_dequantize_per_tensor_default_1958: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1421, 0.0042004697024822235, 62801, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1421 = None 2025-06-05T23:26:40.7914662Z aten__softmax_default_8: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten__softmax_default(quantized_decomposed_dequantize_per_tensor_default_1958, -1, False); quantized_decomposed_dequantize_per_tensor_default_1958 = None 2025-06-05T23:26:40.7915583Z quantized_decomposed_quantize_per_tensor_default_1422: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten__softmax_default_8, 1.5259021893143654e-05, 0, 0, 65535, torch.int32); aten__softmax_default_8 = None 2025-06-05T23:26:40.7915660Z 2025-06-05T23:26:40.7916120Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:327 in forward, code: y = attn_weight @ v 2025-06-05T23:26:40.7917290Z quantized_decomposed_dequantize_per_tensor_default_1959: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1422, 1.5259021893143654e-05, 0, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1422 = None 2025-06-05T23:26:40.7918119Z aten_expand_copy_default_34: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_1959, [1, 12, 1, 128]); quantized_decomposed_dequantize_per_tensor_default_1959 = None 2025-06-05T23:26:40.7918699Z aten_view_copy_default_158: "f32[12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_34, [12, 1, 128]); aten_expand_copy_default_34 = None 2025-06-05T23:26:40.7919503Z aten_expand_copy_default_35: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_1952, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_1952 = None 2025-06-05T23:26:40.7920082Z aten_view_copy_default_159: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_35, [12, 128, 64]); aten_expand_copy_default_35 = None 2025-06-05T23:26:40.7920747Z aten_bmm_default_17: "f32[12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_158, aten_view_copy_default_159); aten_view_copy_default_158 = aten_view_copy_default_159 = None 2025-06-05T23:26:40.7921258Z aten_view_copy_default_160: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_17, [1, 12, 1, 64]); aten_bmm_default_17 = None 2025-06-05T23:26:40.7922191Z quantized_decomposed_quantize_per_tensor_default_1423: "i32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_160, 9.857307304628193e-05, 32475, 0, 65535, torch.int32); aten_view_copy_default_160 = None 2025-06-05T23:26:40.7922320Z 2025-06-05T23:26:40.7922952Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:329 in forward, code: return y.transpose(1, 2).contiguous().view(bsz, seqlen, self.dim) 2025-06-05T23:26:40.7924131Z quantized_decomposed_dequantize_per_tensor_default_1960: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1423, 9.857307304628193e-05, 32475, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1423 = None 2025-06-05T23:26:40.7924936Z aten_permute_copy_default_360: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1960, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1960 = None 2025-06-05T23:26:40.7925910Z quantized_decomposed_quantize_per_tensor_default_1424: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_360, 9.857307304628193e-05, 32475, 0, 65535, torch.int32); aten_permute_copy_default_360 = None 2025-06-05T23:26:40.7927086Z quantized_decomposed_dequantize_per_tensor_default_1961: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1424, 9.857307304628193e-05, 32475, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1424 = None 2025-06-05T23:26:40.7927868Z aten_view_copy_default_161: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1961, [1, 1, 768]); quantized_decomposed_dequantize_per_tensor_default_1961 = None 2025-06-05T23:26:40.7928808Z quantized_decomposed_quantize_per_tensor_default_1425: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_161, 9.857307304628193e-05, 32475, 0, 65535, torch.int32); aten_view_copy_default_161 = None 2025-06-05T23:26:40.7928890Z 2025-06-05T23:26:40.7929417Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.7930639Z quantized_decomposed_dequantize_per_tensor_default_1962: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1425, 9.857307304628193e-05, 32475, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1425 = None 2025-06-05T23:26:40.7931456Z aten_unsqueeze_copy_default_95: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1962, -1); quantized_decomposed_dequantize_per_tensor_default_1962 = None 2025-06-05T23:26:40.7932434Z quantized_decomposed_quantize_per_tensor_default_1426: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_95, 9.857307304628193e-05, 32475, 0, 65535, torch.int32); aten_unsqueeze_copy_default_95 = None 2025-06-05T23:26:40.7932515Z 2025-06-05T23:26:40.7932923Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.7934102Z quantized_decomposed_dequantize_per_tensor_default_1963: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1426, 9.857307304628193e-05, 32475, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1426 = None 2025-06-05T23:26:40.7934960Z aten_permute_copy_default_361: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1963, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1963 = None 2025-06-05T23:26:40.7935908Z quantized_decomposed_quantize_per_tensor_default_1427: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_361, 9.857307304628193e-05, 32475, 0, 65535, torch.int32); aten_permute_copy_default_361 = None 2025-06-05T23:26:40.7935999Z 2025-06-05T23:26:40.7936358Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.7937521Z quantized_decomposed_dequantize_per_tensor_default_1964: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1427, 9.857307304628193e-05, 32475, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1427 = None 2025-06-05T23:26:40.7938966Z aten_convolution_default_59: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1964, quantized_decomposed_dequantize_per_tensor_default_77, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1964 = quantized_decomposed_dequantize_per_tensor_default_77 = None 2025-06-05T23:26:40.7939905Z quantized_decomposed_quantize_per_tensor_default_1428: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_59, 6.995500734774396e-05, 26018, 0, 65535, torch.int32); aten_convolution_default_59 = None 2025-06-05T23:26:40.7940001Z 2025-06-05T23:26:40.7940425Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.7941596Z quantized_decomposed_dequantize_per_tensor_default_1965: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1428, 6.995500734774396e-05, 26018, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1428 = None 2025-06-05T23:26:40.7942445Z aten_permute_copy_default_362: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1965, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1965 = None 2025-06-05T23:26:40.7943392Z quantized_decomposed_quantize_per_tensor_default_1429: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_362, 6.995500734774396e-05, 26018, 0, 65535, torch.int32); aten_permute_copy_default_362 = None 2025-06-05T23:26:40.7943483Z 2025-06-05T23:26:40.7944020Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.7945186Z quantized_decomposed_dequantize_per_tensor_default_1966: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1429, 6.995500734774396e-05, 26018, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1429 = None 2025-06-05T23:26:40.7945957Z aten_squeeze_copy_dims_95: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1966, [-1]); quantized_decomposed_dequantize_per_tensor_default_1966 = None 2025-06-05T23:26:40.7946901Z quantized_decomposed_quantize_per_tensor_default_1430: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_95, 6.995500734774396e-05, 26018, 0, 65535, torch.int32); aten_squeeze_copy_dims_95 = None 2025-06-05T23:26:40.7947000Z 2025-06-05T23:26:40.7947377Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:132 in forward, code: h = x + h 2025-06-05T23:26:40.7948596Z quantized_decomposed_dequantize_per_tensor_default_1967: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1430, 6.995500734774396e-05, 26018, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1430 = None 2025-06-05T23:26:40.7949871Z aten_add_tensor_43: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_1789, quantized_decomposed_dequantize_per_tensor_default_1967); quantized_decomposed_dequantize_per_tensor_default_1789 = quantized_decomposed_dequantize_per_tensor_default_1967 = None 2025-06-05T23:26:40.7950769Z quantized_decomposed_quantize_per_tensor_default_1431: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_43, 0.0026511913165450096, 5838, 0, 65535, torch.int32); aten_add_tensor_43 = None 2025-06-05T23:26:40.7950903Z 2025-06-05T23:26:40.7951430Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:136 in forward, code: out = h + self.feed_forward(self.ffn_norm(h)) 2025-06-05T23:26:40.7952359Z quantized_decomposed_dequantize_per_tensor_default_1968: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1431, 0.0026511913165450096, 5838, 0, 65535, torch.int32) 2025-06-05T23:26:40.7953530Z quantized_decomposed_dequantize_per_tensor_default_1969: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1431, 0.0026511913165450096, 5838, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1431 = None 2025-06-05T23:26:40.7954055Z aten_pow_tensor_scalar_17: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(quantized_decomposed_dequantize_per_tensor_default_1969, 2) 2025-06-05T23:26:40.7954541Z aten_mean_dim_17: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_mean_dim(aten_pow_tensor_scalar_17, [2], True); aten_pow_tensor_scalar_17 = None 2025-06-05T23:26:40.7954999Z aten_add_scalar_17: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_add_Scalar(aten_mean_dim_17, 9.999999747378752e-06); aten_mean_dim_17 = None 2025-06-05T23:26:40.7955419Z aten_rsqrt_default_17: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_rsqrt_default(aten_add_scalar_17); aten_add_scalar_17 = None 2025-06-05T23:26:40.7956292Z aten_mul_tensor_131: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1969, aten_rsqrt_default_17); quantized_decomposed_dequantize_per_tensor_default_1969 = aten_rsqrt_default_17 = None 2025-06-05T23:26:40.7957130Z aten_mul_tensor_132: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_131, quantized_decomposed_dequantize_per_tensor_default_78); aten_mul_tensor_131 = quantized_decomposed_dequantize_per_tensor_default_78 = None 2025-06-05T23:26:40.7958004Z quantized_decomposed_quantize_per_tensor_default_1432: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_132, 0.00035757292062044144, 21055, 0, 65535, torch.int32); aten_mul_tensor_132 = None 2025-06-05T23:26:40.7958083Z 2025-06-05T23:26:40.7958667Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.7959610Z quantized_decomposed_dequantize_per_tensor_default_1970: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1432, 0.00035757292062044144, 21055, 0, 65535, torch.int32) 2025-06-05T23:26:40.7960803Z quantized_decomposed_dequantize_per_tensor_default_1971: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1432, 0.00035757292062044144, 21055, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1432 = None 2025-06-05T23:26:40.7961627Z aten_unsqueeze_copy_default_96: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1971, -1); quantized_decomposed_dequantize_per_tensor_default_1971 = None 2025-06-05T23:26:40.7962623Z quantized_decomposed_quantize_per_tensor_default_1433: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_96, 0.00035757292062044144, 21055, 0, 65535, torch.int32); aten_unsqueeze_copy_default_96 = None 2025-06-05T23:26:40.7962712Z 2025-06-05T23:26:40.7963121Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.7964301Z quantized_decomposed_dequantize_per_tensor_default_1972: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1433, 0.00035757292062044144, 21055, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1433 = None 2025-06-05T23:26:40.7965128Z aten_permute_copy_default_363: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1972, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1972 = None 2025-06-05T23:26:40.7966106Z quantized_decomposed_quantize_per_tensor_default_1434: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_363, 0.00035757292062044144, 21055, 0, 65535, torch.int32); aten_permute_copy_default_363 = None 2025-06-05T23:26:40.7966199Z 2025-06-05T23:26:40.7966562Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.7967744Z quantized_decomposed_dequantize_per_tensor_default_1973: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1434, 0.00035757292062044144, 21055, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1434 = None 2025-06-05T23:26:40.7969071Z aten_convolution_default_60: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1973, quantized_decomposed_dequantize_per_tensor_default_79, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1973 = quantized_decomposed_dequantize_per_tensor_default_79 = None 2025-06-05T23:26:40.7970028Z quantized_decomposed_quantize_per_tensor_default_1435: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_60, 0.00018512652604840696, 30788, 0, 65535, torch.int32); aten_convolution_default_60 = None 2025-06-05T23:26:40.7970106Z 2025-06-05T23:26:40.7970538Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.7971777Z quantized_decomposed_dequantize_per_tensor_default_1974: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1435, 0.00018512652604840696, 30788, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1435 = None 2025-06-05T23:26:40.7972598Z aten_permute_copy_default_364: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1974, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1974 = None 2025-06-05T23:26:40.7973770Z quantized_decomposed_quantize_per_tensor_default_1436: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_364, 0.00018512652604840696, 30788, 0, 65535, torch.int32); aten_permute_copy_default_364 = None 2025-06-05T23:26:40.7973940Z 2025-06-05T23:26:40.7974494Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.7975687Z quantized_decomposed_dequantize_per_tensor_default_1975: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1436, 0.00018512652604840696, 30788, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1436 = None 2025-06-05T23:26:40.7976455Z aten_squeeze_copy_dims_96: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1975, [-1]); quantized_decomposed_dequantize_per_tensor_default_1975 = None 2025-06-05T23:26:40.7977398Z quantized_decomposed_quantize_per_tensor_default_1437: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_96, 0.00018512652604840696, 30788, 0, 65535, torch.int32); aten_squeeze_copy_dims_96 = None 2025-06-05T23:26:40.7977477Z 2025-06-05T23:26:40.7978005Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:37 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-06-05T23:26:40.7978982Z quantized_decomposed_dequantize_per_tensor_default_1976: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1437, 0.00018512652604840696, 30788, 0, 65535, torch.int32) 2025-06-05T23:26:40.7980164Z quantized_decomposed_dequantize_per_tensor_default_1977: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1437, 0.00018512652604840696, 30788, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1437 = None 2025-06-05T23:26:40.7980933Z aten_sigmoid_default_8: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_sigmoid_default(quantized_decomposed_dequantize_per_tensor_default_1977); quantized_decomposed_dequantize_per_tensor_default_1977 = None 2025-06-05T23:26:40.7981808Z quantized_decomposed_quantize_per_tensor_default_1438: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sigmoid_default_8, 1.52587890625e-05, 0, 0, 65535, torch.int32); aten_sigmoid_default_8 = None 2025-06-05T23:26:40.7982951Z quantized_decomposed_dequantize_per_tensor_default_1978: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1438, 1.52587890625e-05, 0, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1438 = None 2025-06-05T23:26:40.7984182Z aten_mul_tensor_133: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1976, quantized_decomposed_dequantize_per_tensor_default_1978); quantized_decomposed_dequantize_per_tensor_default_1976 = quantized_decomposed_dequantize_per_tensor_default_1978 = None 2025-06-05T23:26:40.7985060Z quantized_decomposed_quantize_per_tensor_default_1439: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_133, 0.00010224587458651513, 2723, 0, 65535, torch.int32); aten_mul_tensor_133 = None 2025-06-05T23:26:40.7986248Z quantized_decomposed_dequantize_per_tensor_default_1979: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1439, 0.00010224587458651513, 2723, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1439 = None 2025-06-05T23:26:40.7986356Z 2025-06-05T23:26:40.7986891Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.7987713Z aten_unsqueeze_copy_default_97: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1970, -1); quantized_decomposed_dequantize_per_tensor_default_1970 = None 2025-06-05T23:26:40.7988678Z quantized_decomposed_quantize_per_tensor_default_1440: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_97, 0.00035757292062044144, 21055, 0, 65535, torch.int32); aten_unsqueeze_copy_default_97 = None 2025-06-05T23:26:40.7988770Z 2025-06-05T23:26:40.7989173Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.7990351Z quantized_decomposed_dequantize_per_tensor_default_1980: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1440, 0.00035757292062044144, 21055, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1440 = None 2025-06-05T23:26:40.7991276Z aten_permute_copy_default_365: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1980, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1980 = None 2025-06-05T23:26:40.7992237Z quantized_decomposed_quantize_per_tensor_default_1441: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_365, 0.00035757292062044144, 21055, 0, 65535, torch.int32); aten_permute_copy_default_365 = None 2025-06-05T23:26:40.7992333Z 2025-06-05T23:26:40.7992695Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.7993876Z quantized_decomposed_dequantize_per_tensor_default_1981: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1441, 0.00035757292062044144, 21055, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1441 = None 2025-06-05T23:26:40.7995197Z aten_convolution_default_61: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1981, quantized_decomposed_dequantize_per_tensor_default_80, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1981 = quantized_decomposed_dequantize_per_tensor_default_80 = None 2025-06-05T23:26:40.7996255Z quantized_decomposed_quantize_per_tensor_default_1442: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_61, 0.00020597278489731252, 31383, 0, 65535, torch.int32); aten_convolution_default_61 = None 2025-06-05T23:26:40.7996333Z 2025-06-05T23:26:40.7996769Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.7997949Z quantized_decomposed_dequantize_per_tensor_default_1982: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1442, 0.00020597278489731252, 31383, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1442 = None 2025-06-05T23:26:40.7998793Z aten_permute_copy_default_366: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1982, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1982 = None 2025-06-05T23:26:40.7999764Z quantized_decomposed_quantize_per_tensor_default_1443: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_366, 0.00020597278489731252, 31383, 0, 65535, torch.int32); aten_permute_copy_default_366 = None 2025-06-05T23:26:40.7999848Z 2025-06-05T23:26:40.8000398Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.8001579Z quantized_decomposed_dequantize_per_tensor_default_1983: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1443, 0.00020597278489731252, 31383, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1443 = None 2025-06-05T23:26:40.8002345Z aten_squeeze_copy_dims_97: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1983, [-1]); quantized_decomposed_dequantize_per_tensor_default_1983 = None 2025-06-05T23:26:40.8003306Z quantized_decomposed_quantize_per_tensor_default_1444: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_97, 0.00020597278489731252, 31383, 0, 65535, torch.int32); aten_squeeze_copy_dims_97 = None 2025-06-05T23:26:40.8003383Z 2025-06-05T23:26:40.8003912Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:37 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-06-05T23:26:40.8005096Z quantized_decomposed_dequantize_per_tensor_default_1984: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1444, 0.00020597278489731252, 31383, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1444 = None 2025-06-05T23:26:40.8006262Z aten_mul_tensor_134: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1979, quantized_decomposed_dequantize_per_tensor_default_1984); quantized_decomposed_dequantize_per_tensor_default_1979 = quantized_decomposed_dequantize_per_tensor_default_1984 = None 2025-06-05T23:26:40.8007154Z quantized_decomposed_quantize_per_tensor_default_1445: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_134, 0.00044964838889427483, 39916, 0, 65535, torch.int32); aten_mul_tensor_134 = None 2025-06-05T23:26:40.8007231Z 2025-06-05T23:26:40.8007777Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.8008990Z quantized_decomposed_dequantize_per_tensor_default_1985: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1445, 0.00044964838889427483, 39916, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1445 = None 2025-06-05T23:26:40.8009803Z aten_unsqueeze_copy_default_98: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1985, -1); quantized_decomposed_dequantize_per_tensor_default_1985 = None 2025-06-05T23:26:40.8010786Z quantized_decomposed_quantize_per_tensor_default_1446: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_98, 0.00044964838889427483, 39916, 0, 65535, torch.int32); aten_unsqueeze_copy_default_98 = None 2025-06-05T23:26:40.8010888Z 2025-06-05T23:26:40.8011290Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.8012491Z quantized_decomposed_dequantize_per_tensor_default_1986: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1446, 0.00044964838889427483, 39916, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1446 = None 2025-06-05T23:26:40.8013305Z aten_permute_copy_default_367: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1986, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1986 = None 2025-06-05T23:26:40.8014281Z quantized_decomposed_quantize_per_tensor_default_1447: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_367, 0.00044964838889427483, 39916, 0, 65535, torch.int32); aten_permute_copy_default_367 = None 2025-06-05T23:26:40.8014359Z 2025-06-05T23:26:40.8014719Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.8015934Z quantized_decomposed_dequantize_per_tensor_default_1987: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1447, 0.00044964838889427483, 39916, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1447 = None 2025-06-05T23:26:40.8017237Z aten_convolution_default_62: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1987, quantized_decomposed_dequantize_per_tensor_default_81, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1987 = quantized_decomposed_dequantize_per_tensor_default_81 = None 2025-06-05T23:26:40.8018185Z quantized_decomposed_quantize_per_tensor_default_1448: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_62, 0.00013728736666962504, 29642, 0, 65535, torch.int32); aten_convolution_default_62 = None 2025-06-05T23:26:40.8018272Z 2025-06-05T23:26:40.8018691Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.8019887Z quantized_decomposed_dequantize_per_tensor_default_1988: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1448, 0.00013728736666962504, 29642, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1448 = None 2025-06-05T23:26:40.8020744Z aten_permute_copy_default_368: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1988, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1988 = None 2025-06-05T23:26:40.8021700Z quantized_decomposed_quantize_per_tensor_default_1449: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_368, 0.00013728736666962504, 29642, 0, 65535, torch.int32); aten_permute_copy_default_368 = None 2025-06-05T23:26:40.8021786Z 2025-06-05T23:26:40.8022326Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.8023522Z quantized_decomposed_dequantize_per_tensor_default_1989: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1449, 0.00013728736666962504, 29642, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1449 = None 2025-06-05T23:26:40.8024296Z aten_squeeze_copy_dims_98: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1989, [-1]); quantized_decomposed_dequantize_per_tensor_default_1989 = None 2025-06-05T23:26:40.8025216Z quantized_decomposed_quantize_per_tensor_default_1450: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_98, 0.00013728736666962504, 29642, 0, 65535, torch.int32); aten_squeeze_copy_dims_98 = None 2025-06-05T23:26:40.8025305Z 2025-06-05T23:26:40.8025815Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:136 in forward, code: out = h + self.feed_forward(self.ffn_norm(h)) 2025-06-05T23:26:40.8026994Z quantized_decomposed_dequantize_per_tensor_default_1990: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1450, 0.00013728736666962504, 29642, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1450 = None 2025-06-05T23:26:40.8028177Z aten_add_tensor_44: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_1968, quantized_decomposed_dequantize_per_tensor_default_1990); quantized_decomposed_dequantize_per_tensor_default_1968 = quantized_decomposed_dequantize_per_tensor_default_1990 = None 2025-06-05T23:26:40.8029032Z quantized_decomposed_quantize_per_tensor_default_1451: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_44, 0.002680311445146799, 6713, 0, 65535, torch.int32); aten_add_tensor_44 = None 2025-06-05T23:26:40.8029111Z 2025-06-05T23:26:40.8029489Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:132 in forward, code: h = x + h 2025-06-05T23:26:40.8030428Z quantized_decomposed_dequantize_per_tensor_default_1991: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1451, 0.002680311445146799, 6713, 0, 65535, torch.int32) 2025-06-05T23:26:40.8030505Z 2025-06-05T23:26:40.8031133Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:129 in forward, code: self.attention_norm(x), freqs_cos, freqs_sin, **attn_options 2025-06-05T23:26:40.8032326Z quantized_decomposed_dequantize_per_tensor_default_1992: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1451, 0.002680311445146799, 6713, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1451 = None 2025-06-05T23:26:40.8032878Z aten_pow_tensor_scalar_18: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(quantized_decomposed_dequantize_per_tensor_default_1992, 2) 2025-06-05T23:26:40.8033339Z aten_mean_dim_18: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_mean_dim(aten_pow_tensor_scalar_18, [2], True); aten_pow_tensor_scalar_18 = None 2025-06-05T23:26:40.8033785Z aten_add_scalar_18: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_add_Scalar(aten_mean_dim_18, 9.999999747378752e-06); aten_mean_dim_18 = None 2025-06-05T23:26:40.8034218Z aten_rsqrt_default_18: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_rsqrt_default(aten_add_scalar_18); aten_add_scalar_18 = None 2025-06-05T23:26:40.8035116Z aten_mul_tensor_135: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1992, aten_rsqrt_default_18); quantized_decomposed_dequantize_per_tensor_default_1992 = aten_rsqrt_default_18 = None 2025-06-05T23:26:40.8035944Z aten_mul_tensor_136: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_135, quantized_decomposed_dequantize_per_tensor_default_82); aten_mul_tensor_135 = quantized_decomposed_dequantize_per_tensor_default_82 = None 2025-06-05T23:26:40.8036824Z quantized_decomposed_quantize_per_tensor_default_1452: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_136, 0.0004660242120735347, 32140, 0, 65535, torch.int32); aten_mul_tensor_136 = None 2025-06-05T23:26:40.8036903Z 2025-06-05T23:26:40.8037426Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.8038377Z quantized_decomposed_dequantize_per_tensor_default_1993: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1452, 0.0004660242120735347, 32140, 0, 65535, torch.int32) 2025-06-05T23:26:40.8039335Z quantized_decomposed_dequantize_per_tensor_default_1994: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1452, 0.0004660242120735347, 32140, 0, 65535, torch.int32) 2025-06-05T23:26:40.8040519Z quantized_decomposed_dequantize_per_tensor_default_1995: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1452, 0.0004660242120735347, 32140, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1452 = None 2025-06-05T23:26:40.8041336Z aten_unsqueeze_copy_default_99: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1995, -1); quantized_decomposed_dequantize_per_tensor_default_1995 = None 2025-06-05T23:26:40.8042304Z quantized_decomposed_quantize_per_tensor_default_1453: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_99, 0.0004660242120735347, 32140, 0, 65535, torch.int32); aten_unsqueeze_copy_default_99 = None 2025-06-05T23:26:40.8042394Z 2025-06-05T23:26:40.8042797Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.8044013Z quantized_decomposed_dequantize_per_tensor_default_1996: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1453, 0.0004660242120735347, 32140, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1453 = None 2025-06-05T23:26:40.8044845Z aten_permute_copy_default_369: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1996, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1996 = None 2025-06-05T23:26:40.8045801Z quantized_decomposed_quantize_per_tensor_default_1454: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_369, 0.0004660242120735347, 32140, 0, 65535, torch.int32); aten_permute_copy_default_369 = None 2025-06-05T23:26:40.8045889Z 2025-06-05T23:26:40.8046278Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.8047447Z quantized_decomposed_dequantize_per_tensor_default_1997: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1454, 0.0004660242120735347, 32140, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1454 = None 2025-06-05T23:26:40.8048759Z aten_convolution_default_63: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1997, quantized_decomposed_dequantize_per_tensor_default_83, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1997 = quantized_decomposed_dequantize_per_tensor_default_83 = None 2025-06-05T23:26:40.8049710Z quantized_decomposed_quantize_per_tensor_default_1455: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_63, 0.00035828881664201617, 31639, 0, 65535, torch.int32); aten_convolution_default_63 = None 2025-06-05T23:26:40.8049804Z 2025-06-05T23:26:40.8050224Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.8051425Z quantized_decomposed_dequantize_per_tensor_default_1998: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1455, 0.00035828881664201617, 31639, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1455 = None 2025-06-05T23:26:40.8052245Z aten_permute_copy_default_370: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1998, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1998 = None 2025-06-05T23:26:40.8053203Z quantized_decomposed_quantize_per_tensor_default_1456: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_370, 0.00035828881664201617, 31639, 0, 65535, torch.int32); aten_permute_copy_default_370 = None 2025-06-05T23:26:40.8053283Z 2025-06-05T23:26:40.8053837Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.8055011Z quantized_decomposed_dequantize_per_tensor_default_1999: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1456, 0.00035828881664201617, 31639, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1456 = None 2025-06-05T23:26:40.8055817Z aten_squeeze_copy_dims_99: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1999, [-1]); quantized_decomposed_dequantize_per_tensor_default_1999 = None 2025-06-05T23:26:40.8056756Z quantized_decomposed_quantize_per_tensor_default_1457: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_99, 0.00035828881664201617, 31639, 0, 65535, torch.int32); aten_squeeze_copy_dims_99 = None 2025-06-05T23:26:40.8056832Z 2025-06-05T23:26:40.8057368Z # File: /pytorch/executorch/examples/models/llama/attention.py:405 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim) 2025-06-05T23:26:40.8058547Z quantized_decomposed_dequantize_per_tensor_default_2000: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1457, 0.00035828881664201617, 31639, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1457 = None 2025-06-05T23:26:40.8058653Z 2025-06-05T23:26:40.8059189Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.8060009Z aten_unsqueeze_copy_default_100: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1994, -1); quantized_decomposed_dequantize_per_tensor_default_1994 = None 2025-06-05T23:26:40.8060997Z quantized_decomposed_quantize_per_tensor_default_1458: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_100, 0.0004660242120735347, 32140, 0, 65535, torch.int32); aten_unsqueeze_copy_default_100 = None 2025-06-05T23:26:40.8061079Z 2025-06-05T23:26:40.8061482Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.8062672Z quantized_decomposed_dequantize_per_tensor_default_2001: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1458, 0.0004660242120735347, 32140, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1458 = None 2025-06-05T23:26:40.8063542Z aten_permute_copy_default_371: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2001, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2001 = None 2025-06-05T23:26:40.8064494Z quantized_decomposed_quantize_per_tensor_default_1459: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_371, 0.0004660242120735347, 32140, 0, 65535, torch.int32); aten_permute_copy_default_371 = None 2025-06-05T23:26:40.8064585Z 2025-06-05T23:26:40.8064949Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.8066140Z quantized_decomposed_dequantize_per_tensor_default_2002: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1459, 0.0004660242120735347, 32140, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1459 = None 2025-06-05T23:26:40.8067443Z aten_convolution_default_64: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_2002, quantized_decomposed_dequantize_per_tensor_default_84, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_2002 = quantized_decomposed_dequantize_per_tensor_default_84 = None 2025-06-05T23:26:40.8068438Z quantized_decomposed_quantize_per_tensor_default_1460: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_64, 0.0004303281893953681, 32305, 0, 65535, torch.int32); aten_convolution_default_64 = None 2025-06-05T23:26:40.8068533Z 2025-06-05T23:26:40.8068955Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.8070124Z quantized_decomposed_dequantize_per_tensor_default_2003: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1460, 0.0004303281893953681, 32305, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1460 = None 2025-06-05T23:26:40.8071085Z aten_permute_copy_default_372: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2003, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2003 = None 2025-06-05T23:26:40.8072043Z quantized_decomposed_quantize_per_tensor_default_1461: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_372, 0.0004303281893953681, 32305, 0, 65535, torch.int32); aten_permute_copy_default_372 = None 2025-06-05T23:26:40.8072138Z 2025-06-05T23:26:40.8072854Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.8074056Z quantized_decomposed_dequantize_per_tensor_default_2004: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1461, 0.0004303281893953681, 32305, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1461 = None 2025-06-05T23:26:40.8074845Z aten_squeeze_copy_dims_100: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_2004, [-1]); quantized_decomposed_dequantize_per_tensor_default_2004 = None 2025-06-05T23:26:40.8075830Z quantized_decomposed_quantize_per_tensor_default_1462: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_100, 0.0004303281893953681, 32305, 0, 65535, torch.int32); aten_squeeze_copy_dims_100 = None 2025-06-05T23:26:40.8075908Z 2025-06-05T23:26:40.8076450Z # File: /pytorch/executorch/examples/models/llama/attention.py:406 in forward, code: k = k.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim) 2025-06-05T23:26:40.8077623Z quantized_decomposed_dequantize_per_tensor_default_2005: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1462, 0.0004303281893953681, 32305, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1462 = None 2025-06-05T23:26:40.8077702Z 2025-06-05T23:26:40.8078231Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.8079051Z aten_unsqueeze_copy_default_101: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1993, -1); quantized_decomposed_dequantize_per_tensor_default_1993 = None 2025-06-05T23:26:40.8080039Z quantized_decomposed_quantize_per_tensor_default_1463: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_101, 0.0004660242120735347, 32140, 0, 65535, torch.int32); aten_unsqueeze_copy_default_101 = None 2025-06-05T23:26:40.8080186Z 2025-06-05T23:26:40.8080590Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.8081775Z quantized_decomposed_dequantize_per_tensor_default_2006: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1463, 0.0004660242120735347, 32140, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1463 = None 2025-06-05T23:26:40.8082575Z aten_permute_copy_default_373: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2006, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2006 = None 2025-06-05T23:26:40.8083560Z quantized_decomposed_quantize_per_tensor_default_1464: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_373, 0.0004660242120735347, 32140, 0, 65535, torch.int32); aten_permute_copy_default_373 = None 2025-06-05T23:26:40.8083649Z 2025-06-05T23:26:40.8084010Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.8085175Z quantized_decomposed_dequantize_per_tensor_default_2007: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1464, 0.0004660242120735347, 32140, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1464 = None 2025-06-05T23:26:40.8086485Z aten_convolution_default_65: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_2007, quantized_decomposed_dequantize_per_tensor_default_85, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_2007 = quantized_decomposed_dequantize_per_tensor_default_85 = None 2025-06-05T23:26:40.8087459Z quantized_decomposed_quantize_per_tensor_default_1465: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_65, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_convolution_default_65 = None 2025-06-05T23:26:40.8087549Z 2025-06-05T23:26:40.8087968Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.8089139Z quantized_decomposed_dequantize_per_tensor_default_2008: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1465, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1465 = None 2025-06-05T23:26:40.8089958Z aten_permute_copy_default_374: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2008, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2008 = None 2025-06-05T23:26:40.8090912Z quantized_decomposed_quantize_per_tensor_default_1466: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_374, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_permute_copy_default_374 = None 2025-06-05T23:26:40.8091001Z 2025-06-05T23:26:40.8091537Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.8092750Z quantized_decomposed_dequantize_per_tensor_default_2009: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1466, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1466 = None 2025-06-05T23:26:40.8093548Z aten_squeeze_copy_dims_101: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_2009, [-1]); quantized_decomposed_dequantize_per_tensor_default_2009 = None 2025-06-05T23:26:40.8094468Z quantized_decomposed_quantize_per_tensor_default_1467: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_101, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_squeeze_copy_dims_101 = None 2025-06-05T23:26:40.8094572Z 2025-06-05T23:26:40.8095115Z # File: /pytorch/executorch/examples/models/llama/attention.py:407 in forward, code: v = v.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim) 2025-06-05T23:26:40.8096284Z quantized_decomposed_dequantize_per_tensor_default_2010: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1467, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1467 = None 2025-06-05T23:26:40.8096364Z 2025-06-05T23:26:40.8096895Z # File: /pytorch/executorch/examples/models/llama/attention.py:405 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim) 2025-06-05T23:26:40.8097679Z aten_view_copy_default_162: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2000, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_2000 = None 2025-06-05T23:26:40.8098627Z quantized_decomposed_quantize_per_tensor_default_1468: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_162, 0.00035828881664201617, 31639, 0, 65535, torch.int32); aten_view_copy_default_162 = None 2025-06-05T23:26:40.8098705Z 2025-06-05T23:26:40.8099230Z # File: /pytorch/executorch/examples/models/llama/rope.py:84 in apply_rotary_emb, code: xq_r, xq_i = xq.float().reshape(xq.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.8100435Z quantized_decomposed_dequantize_per_tensor_default_2011: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1468, 0.00035828881664201617, 31639, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1468 = None 2025-06-05T23:26:40.8100514Z 2025-06-05T23:26:40.8101038Z # File: /pytorch/executorch/examples/models/llama/attention.py:406 in forward, code: k = k.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim) 2025-06-05T23:26:40.8101825Z aten_view_copy_default_163: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2005, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_2005 = None 2025-06-05T23:26:40.8102742Z quantized_decomposed_quantize_per_tensor_default_1469: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_163, 0.0004303281893953681, 32305, 0, 65535, torch.int32); aten_view_copy_default_163 = None 2025-06-05T23:26:40.8102818Z 2025-06-05T23:26:40.8103347Z # File: /pytorch/executorch/examples/models/llama/rope.py:85 in apply_rotary_emb, code: xk_r, xk_i = xk.float().reshape(xk.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.8104536Z quantized_decomposed_dequantize_per_tensor_default_2012: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1469, 0.0004303281893953681, 32305, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1469 = None 2025-06-05T23:26:40.8104648Z 2025-06-05T23:26:40.8105167Z # File: /pytorch/executorch/examples/models/llama/attention.py:407 in forward, code: v = v.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim) 2025-06-05T23:26:40.8105943Z aten_view_copy_default_164: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2010, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_2010 = None 2025-06-05T23:26:40.8106873Z quantized_decomposed_quantize_per_tensor_default_1470: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_164, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_view_copy_default_164 = None 2025-06-05T23:26:40.8106975Z 2025-06-05T23:26:40.8107649Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:511 in update, code: v_out = torch.ops.aten.index_put_(self.past_v_caches, [None, input_pos], v_val) 2025-06-05T23:26:40.8108825Z quantized_decomposed_dequantize_per_tensor_default_2013: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1470, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1470 = None 2025-06-05T23:26:40.8108902Z 2025-06-05T23:26:40.8109420Z # File: /pytorch/executorch/examples/models/llama/rope.py:84 in apply_rotary_emb, code: xq_r, xq_i = xq.float().reshape(xq.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.8110229Z aten_view_copy_default_165: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2011, [1, 1, 12, -1, 2]); quantized_decomposed_dequantize_per_tensor_default_2011 = None 2025-06-05T23:26:40.8111271Z quantized_decomposed_quantize_per_tensor_default_1471: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_165, 0.00035828881664201617, 31639, 0, 65535, torch.int32); aten_view_copy_default_165 = None 2025-06-05T23:26:40.8112462Z quantized_decomposed_dequantize_per_tensor_default_2014: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1471, 0.00035828881664201617, 31639, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1471 = None 2025-06-05T23:26:40.8113000Z aten_slice_copy_tensor_36: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_2014, 4, 0, 1) 2025-06-05T23:26:40.8113762Z aten_slice_copy_tensor_37: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_2014, 4, 1, 2); quantized_decomposed_dequantize_per_tensor_default_2014 = None 2025-06-05T23:26:40.8114304Z aten_squeeze_copy_dims_102: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_36, [4]); aten_slice_copy_tensor_36 = None 2025-06-05T23:26:40.8114826Z aten_squeeze_copy_dims_103: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_37, [4]); aten_slice_copy_tensor_37 = None 2025-06-05T23:26:40.8115788Z quantized_decomposed_quantize_per_tensor_default_1472: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_102, 0.00035828881664201617, 31639, 0, 65535, torch.int32); aten_squeeze_copy_dims_102 = None 2025-06-05T23:26:40.8115905Z 2025-06-05T23:26:40.8116384Z # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos 2025-06-05T23:26:40.8117339Z quantized_decomposed_dequantize_per_tensor_default_2015: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1472, 0.00035828881664201617, 31639, 0, 65535, torch.int32) 2025-06-05T23:26:40.8117415Z 2025-06-05T23:26:40.8117885Z # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin 2025-06-05T23:26:40.8119106Z quantized_decomposed_dequantize_per_tensor_default_2016: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1472, 0.00035828881664201617, 31639, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1472 = None 2025-06-05T23:26:40.8119183Z 2025-06-05T23:26:40.8119704Z # File: /pytorch/executorch/examples/models/llama/rope.py:84 in apply_rotary_emb, code: xq_r, xq_i = xq.float().reshape(xq.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.8120648Z quantized_decomposed_quantize_per_tensor_default_1473: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_103, 0.00035828881664201617, 31639, 0, 65535, torch.int32); aten_squeeze_copy_dims_103 = None 2025-06-05T23:26:40.8120723Z 2025-06-05T23:26:40.8121193Z # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin 2025-06-05T23:26:40.8122149Z quantized_decomposed_dequantize_per_tensor_default_2017: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1473, 0.00035828881664201617, 31639, 0, 65535, torch.int32) 2025-06-05T23:26:40.8122225Z 2025-06-05T23:26:40.8122713Z # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos 2025-06-05T23:26:40.8123901Z quantized_decomposed_dequantize_per_tensor_default_2018: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1473, 0.00035828881664201617, 31639, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1473 = None 2025-06-05T23:26:40.8123979Z 2025-06-05T23:26:40.8124498Z # File: /pytorch/executorch/examples/models/llama/rope.py:85 in apply_rotary_emb, code: xk_r, xk_i = xk.float().reshape(xk.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.8125294Z aten_view_copy_default_166: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2012, [1, 1, 12, -1, 2]); quantized_decomposed_dequantize_per_tensor_default_2012 = None 2025-06-05T23:26:40.8126222Z quantized_decomposed_quantize_per_tensor_default_1474: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_166, 0.0004303281893953681, 32305, 0, 65535, torch.int32); aten_view_copy_default_166 = None 2025-06-05T23:26:40.8127435Z quantized_decomposed_dequantize_per_tensor_default_2019: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1474, 0.0004303281893953681, 32305, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1474 = None 2025-06-05T23:26:40.8127993Z aten_slice_copy_tensor_38: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_2019, 4, 0, 1) 2025-06-05T23:26:40.8128748Z aten_slice_copy_tensor_39: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_2019, 4, 1, 2); quantized_decomposed_dequantize_per_tensor_default_2019 = None 2025-06-05T23:26:40.8129280Z aten_squeeze_copy_dims_104: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_38, [4]); aten_slice_copy_tensor_38 = None 2025-06-05T23:26:40.8129797Z aten_squeeze_copy_dims_105: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_39, [4]); aten_slice_copy_tensor_39 = None 2025-06-05T23:26:40.8130748Z quantized_decomposed_quantize_per_tensor_default_1475: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_104, 0.0004303281893953681, 32305, 0, 65535, torch.int32); aten_squeeze_copy_dims_104 = None 2025-06-05T23:26:40.8130837Z 2025-06-05T23:26:40.8131308Z # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos 2025-06-05T23:26:40.8132247Z quantized_decomposed_dequantize_per_tensor_default_2020: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1475, 0.0004303281893953681, 32305, 0, 65535, torch.int32) 2025-06-05T23:26:40.8132324Z 2025-06-05T23:26:40.8132792Z # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin 2025-06-05T23:26:40.8133969Z quantized_decomposed_dequantize_per_tensor_default_2021: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1475, 0.0004303281893953681, 32305, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1475 = None 2025-06-05T23:26:40.8134045Z 2025-06-05T23:26:40.8134587Z # File: /pytorch/executorch/examples/models/llama/rope.py:85 in apply_rotary_emb, code: xk_r, xk_i = xk.float().reshape(xk.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.8135519Z quantized_decomposed_quantize_per_tensor_default_1476: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_105, 0.0004303281893953681, 32305, 0, 65535, torch.int32); aten_squeeze_copy_dims_105 = None 2025-06-05T23:26:40.8135598Z 2025-06-05T23:26:40.8136066Z # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin 2025-06-05T23:26:40.8137012Z quantized_decomposed_dequantize_per_tensor_default_2022: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1476, 0.0004303281893953681, 32305, 0, 65535, torch.int32) 2025-06-05T23:26:40.8137088Z 2025-06-05T23:26:40.8137554Z # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos 2025-06-05T23:26:40.8138757Z quantized_decomposed_dequantize_per_tensor_default_2023: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1476, 0.0004303281893953681, 32305, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1476 = None 2025-06-05T23:26:40.8138857Z 2025-06-05T23:26:40.8139290Z # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape) 2025-06-05T23:26:40.8140071Z aten_view_copy_default_167: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_153, [1, 1, 1, 32]); quantized_decomposed_dequantize_per_tensor_default_153 = None 2025-06-05T23:26:40.8140995Z quantized_decomposed_quantize_per_tensor_default_1477: "i32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_167, 3.051804378628731e-05, 32768, 0, 65535, torch.int32); aten_view_copy_default_167 = None 2025-06-05T23:26:40.8141094Z 2025-06-05T23:26:40.8141576Z # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos 2025-06-05T23:26:40.8142510Z quantized_decomposed_dequantize_per_tensor_default_2024: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1477, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-06-05T23:26:40.8142598Z 2025-06-05T23:26:40.8143064Z # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin 2025-06-05T23:26:40.8143993Z quantized_decomposed_dequantize_per_tensor_default_2025: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1477, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-06-05T23:26:40.8144084Z 2025-06-05T23:26:40.8144551Z # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos 2025-06-05T23:26:40.8145483Z quantized_decomposed_dequantize_per_tensor_default_2026: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1477, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-06-05T23:26:40.8145569Z 2025-06-05T23:26:40.8146055Z # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin 2025-06-05T23:26:40.8147222Z quantized_decomposed_dequantize_per_tensor_default_2027: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1477, 3.051804378628731e-05, 32768, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1477 = None 2025-06-05T23:26:40.8147313Z 2025-06-05T23:26:40.8147748Z # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape) 2025-06-05T23:26:40.8148512Z aten_view_copy_default_168: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_165, [1, 1, 1, 32]); quantized_decomposed_dequantize_per_tensor_default_165 = None 2025-06-05T23:26:40.8149447Z quantized_decomposed_quantize_per_tensor_default_1478: "i32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_168, 3.051786916330457e-05, 32767, 0, 65535, torch.int32); aten_view_copy_default_168 = None 2025-06-05T23:26:40.8149523Z 2025-06-05T23:26:40.8149997Z # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin 2025-06-05T23:26:40.8151049Z quantized_decomposed_dequantize_per_tensor_default_2028: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1478, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-06-05T23:26:40.8151128Z 2025-06-05T23:26:40.8151596Z # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos 2025-06-05T23:26:40.8152530Z quantized_decomposed_dequantize_per_tensor_default_2029: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1478, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-06-05T23:26:40.8152643Z 2025-06-05T23:26:40.8153108Z # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin 2025-06-05T23:26:40.8154056Z quantized_decomposed_dequantize_per_tensor_default_2030: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1478, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-06-05T23:26:40.8154131Z 2025-06-05T23:26:40.8154601Z # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos 2025-06-05T23:26:40.8155782Z quantized_decomposed_dequantize_per_tensor_default_2031: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1478, 3.051786916330457e-05, 32767, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1478 = None 2025-06-05T23:26:40.8155859Z 2025-06-05T23:26:40.8156344Z # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin 2025-06-05T23:26:40.8157521Z aten_mul_tensor_137: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2016, quantized_decomposed_dequantize_per_tensor_default_2027); quantized_decomposed_dequantize_per_tensor_default_2016 = quantized_decomposed_dequantize_per_tensor_default_2027 = None 2025-06-05T23:26:40.8158397Z quantized_decomposed_quantize_per_tensor_default_1479: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_137, 0.0003548612876329571, 31922, 0, 65535, torch.int32); aten_mul_tensor_137 = None 2025-06-05T23:26:40.8159573Z quantized_decomposed_dequantize_per_tensor_default_2032: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1479, 0.0003548612876329571, 31922, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1479 = None 2025-06-05T23:26:40.8160726Z aten_mul_tensor_138: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2017, quantized_decomposed_dequantize_per_tensor_default_2030); quantized_decomposed_dequantize_per_tensor_default_2017 = quantized_decomposed_dequantize_per_tensor_default_2030 = None 2025-06-05T23:26:40.8161613Z quantized_decomposed_quantize_per_tensor_default_1480: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_138, 0.00014130776980891824, 32945, 0, 65535, torch.int32); aten_mul_tensor_138 = None 2025-06-05T23:26:40.8162819Z quantized_decomposed_dequantize_per_tensor_default_2033: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1480, 0.00014130776980891824, 32945, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1480 = None 2025-06-05T23:26:40.8163990Z aten_sub_tensor_18: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(quantized_decomposed_dequantize_per_tensor_default_2032, quantized_decomposed_dequantize_per_tensor_default_2033); quantized_decomposed_dequantize_per_tensor_default_2032 = quantized_decomposed_dequantize_per_tensor_default_2033 = None 2025-06-05T23:26:40.8164864Z quantized_decomposed_quantize_per_tensor_default_1481: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sub_tensor_18, 0.00035090342862531543, 32108, 0, 65535, torch.int32); aten_sub_tensor_18 = None 2025-06-05T23:26:40.8164965Z 2025-06-05T23:26:40.8165934Z # File: .74:5208 in forward, code: dequantize_per_tensor_default_1639 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1639, 0.00035090342862531543, 32108, 0, 65535, torch.int32); quantize_per_tensor_default_1639 = None 2025-06-05T23:26:40.8167104Z quantized_decomposed_dequantize_per_tensor_default_2034: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1481, 0.00035090342862531543, 32108, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1481 = None 2025-06-05T23:26:40.8167180Z 2025-06-05T23:26:40.8167664Z # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos 2025-06-05T23:26:40.8168814Z aten_mul_tensor_139: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2015, quantized_decomposed_dequantize_per_tensor_default_2031); quantized_decomposed_dequantize_per_tensor_default_2015 = quantized_decomposed_dequantize_per_tensor_default_2031 = None 2025-06-05T23:26:40.8169686Z quantized_decomposed_quantize_per_tensor_default_1482: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_139, 0.00016020808834582567, 31073, 0, 65535, torch.int32); aten_mul_tensor_139 = None 2025-06-05T23:26:40.8170909Z quantized_decomposed_dequantize_per_tensor_default_2035: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1482, 0.00016020808834582567, 31073, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1482 = None 2025-06-05T23:26:40.8172067Z aten_mul_tensor_140: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2018, quantized_decomposed_dequantize_per_tensor_default_2026); quantized_decomposed_dequantize_per_tensor_default_2018 = quantized_decomposed_dequantize_per_tensor_default_2026 = None 2025-06-05T23:26:40.8173211Z quantized_decomposed_quantize_per_tensor_default_1483: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_140, 0.0003209649003110826, 31569, 0, 65535, torch.int32); aten_mul_tensor_140 = None 2025-06-05T23:26:40.8174390Z quantized_decomposed_dequantize_per_tensor_default_2036: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1483, 0.0003209649003110826, 31569, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1483 = None 2025-06-05T23:26:40.8175621Z aten_add_tensor_45: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_2035, quantized_decomposed_dequantize_per_tensor_default_2036); quantized_decomposed_dequantize_per_tensor_default_2035 = quantized_decomposed_dequantize_per_tensor_default_2036 = None 2025-06-05T23:26:40.8176520Z quantized_decomposed_quantize_per_tensor_default_1484: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_45, 0.00035090342862531543, 32108, 0, 65535, torch.int32); aten_add_tensor_45 = None 2025-06-05T23:26:40.8176599Z 2025-06-05T23:26:40.8177569Z # File: .74:5217 in forward, code: dequantize_per_tensor_default_1642 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1642, 0.00035090342862531543, 32108, 0, 65535, torch.int32); quantize_per_tensor_default_1642 = None 2025-06-05T23:26:40.8178794Z quantized_decomposed_dequantize_per_tensor_default_2037: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1484, 0.00035090342862531543, 32108, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1484 = None 2025-06-05T23:26:40.8178887Z 2025-06-05T23:26:40.8179365Z # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin 2025-06-05T23:26:40.8180516Z aten_mul_tensor_141: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2021, quantized_decomposed_dequantize_per_tensor_default_2025); quantized_decomposed_dequantize_per_tensor_default_2021 = quantized_decomposed_dequantize_per_tensor_default_2025 = None 2025-06-05T23:26:40.8181405Z quantized_decomposed_quantize_per_tensor_default_1485: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_141, 0.00040689806337468326, 33489, 0, 65535, torch.int32); aten_mul_tensor_141 = None 2025-06-05T23:26:40.8182577Z quantized_decomposed_dequantize_per_tensor_default_2038: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1485, 0.00040689806337468326, 33489, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1485 = None 2025-06-05T23:26:40.8183802Z aten_mul_tensor_142: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2022, quantized_decomposed_dequantize_per_tensor_default_2028); quantized_decomposed_dequantize_per_tensor_default_2022 = quantized_decomposed_dequantize_per_tensor_default_2028 = None 2025-06-05T23:26:40.8184678Z quantized_decomposed_quantize_per_tensor_default_1486: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_142, 0.00016605170094408095, 36087, 0, 65535, torch.int32); aten_mul_tensor_142 = None 2025-06-05T23:26:40.8185853Z quantized_decomposed_dequantize_per_tensor_default_2039: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1486, 0.00016605170094408095, 36087, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1486 = None 2025-06-05T23:26:40.8187013Z aten_sub_tensor_19: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(quantized_decomposed_dequantize_per_tensor_default_2038, quantized_decomposed_dequantize_per_tensor_default_2039); quantized_decomposed_dequantize_per_tensor_default_2038 = quantized_decomposed_dequantize_per_tensor_default_2039 = None 2025-06-05T23:26:40.8187906Z quantized_decomposed_quantize_per_tensor_default_1487: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sub_tensor_19, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_sub_tensor_19 = None 2025-06-05T23:26:40.8188022Z 2025-06-05T23:26:40.8188979Z # File: .74:5226 in forward, code: dequantize_per_tensor_default_1645 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1645, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantize_per_tensor_default_1645 = None 2025-06-05T23:26:40.8190151Z quantized_decomposed_dequantize_per_tensor_default_2040: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1487, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1487 = None 2025-06-05T23:26:40.8190268Z 2025-06-05T23:26:40.8190746Z # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos 2025-06-05T23:26:40.8191976Z aten_mul_tensor_143: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2020, quantized_decomposed_dequantize_per_tensor_default_2029); quantized_decomposed_dequantize_per_tensor_default_2020 = quantized_decomposed_dequantize_per_tensor_default_2029 = None 2025-06-05T23:26:40.8192863Z quantized_decomposed_quantize_per_tensor_default_1488: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_143, 0.0001810029789339751, 34754, 0, 65535, torch.int32); aten_mul_tensor_143 = None 2025-06-05T23:26:40.8194031Z quantized_decomposed_dequantize_per_tensor_default_2041: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1488, 0.0001810029789339751, 34754, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1488 = None 2025-06-05T23:26:40.8195224Z aten_mul_tensor_144: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2023, quantized_decomposed_dequantize_per_tensor_default_2024); quantized_decomposed_dequantize_per_tensor_default_2023 = quantized_decomposed_dequantize_per_tensor_default_2024 = None 2025-06-05T23:26:40.8196104Z quantized_decomposed_quantize_per_tensor_default_1489: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_144, 0.00041482385131530464, 31860, 0, 65535, torch.int32); aten_mul_tensor_144 = None 2025-06-05T23:26:40.8197287Z quantized_decomposed_dequantize_per_tensor_default_2042: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1489, 0.00041482385131530464, 31860, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1489 = None 2025-06-05T23:26:40.8198445Z aten_add_tensor_46: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_2041, quantized_decomposed_dequantize_per_tensor_default_2042); quantized_decomposed_dequantize_per_tensor_default_2041 = quantized_decomposed_dequantize_per_tensor_default_2042 = None 2025-06-05T23:26:40.8199314Z quantized_decomposed_quantize_per_tensor_default_1490: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_46, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_add_tensor_46 = None 2025-06-05T23:26:40.8199405Z 2025-06-05T23:26:40.8200388Z # File: .74:5235 in forward, code: dequantize_per_tensor_default_1648 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1648, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantize_per_tensor_default_1648 = None 2025-06-05T23:26:40.8201687Z quantized_decomposed_dequantize_per_tensor_default_2043: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1490, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1490 = None 2025-06-05T23:26:40.8201763Z 2025-06-05T23:26:40.8202287Z # File: /pytorch/executorch/examples/models/llama/rope.py:95 in apply_rotary_emb, code: xq_out = torch.stack([xq_out_r, xq_out_i], dim=-1).flatten(3) 2025-06-05T23:26:40.8203119Z aten_unsqueeze_copy_default_102: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2034, 4); quantized_decomposed_dequantize_per_tensor_default_2034 = None 2025-06-05T23:26:40.8203955Z aten_unsqueeze_copy_default_103: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2037, 4); quantized_decomposed_dequantize_per_tensor_default_2037 = None 2025-06-05T23:26:40.8204712Z aten_cat_default_36: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_unsqueeze_copy_default_102, aten_unsqueeze_copy_default_103], -1); aten_unsqueeze_copy_default_102 = aten_unsqueeze_copy_default_103 = None 2025-06-05T23:26:40.8205605Z quantized_decomposed_quantize_per_tensor_default_1491: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_36, 0.00035090342862531543, 32108, 0, 65535, torch.int32); aten_cat_default_36 = None 2025-06-05T23:26:40.8206788Z quantized_decomposed_dequantize_per_tensor_default_2044: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1491, 0.00035090342862531543, 32108, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1491 = None 2025-06-05T23:26:40.8207601Z aten_view_copy_default_169: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2044, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_2044 = None 2025-06-05T23:26:40.8208524Z quantized_decomposed_quantize_per_tensor_default_1492: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_169, 0.00035090342862531543, 32108, 0, 65535, torch.int32); aten_view_copy_default_169 = None 2025-06-05T23:26:40.8208600Z 2025-06-05T23:26:40.8209570Z # File: .74:5241 in forward, code: dequantize_per_tensor_default_1650 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1650, 0.00035090342862531543, 32108, 0, 65535, torch.int32); quantize_per_tensor_default_1650 = None 2025-06-05T23:26:40.8210748Z quantized_decomposed_dequantize_per_tensor_default_2045: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1492, 0.00035090342862531543, 32108, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1492 = None 2025-06-05T23:26:40.8210825Z 2025-06-05T23:26:40.8211357Z # File: /pytorch/executorch/examples/models/llama/rope.py:96 in apply_rotary_emb, code: xk_out = torch.stack([xk_out_r, xk_out_i], dim=-1).flatten(3) 2025-06-05T23:26:40.8212193Z aten_unsqueeze_copy_default_104: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2040, 4); quantized_decomposed_dequantize_per_tensor_default_2040 = None 2025-06-05T23:26:40.8213035Z aten_unsqueeze_copy_default_105: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2043, 4); quantized_decomposed_dequantize_per_tensor_default_2043 = None 2025-06-05T23:26:40.8213786Z aten_cat_default_37: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_unsqueeze_copy_default_104, aten_unsqueeze_copy_default_105], -1); aten_unsqueeze_copy_default_104 = aten_unsqueeze_copy_default_105 = None 2025-06-05T23:26:40.8214662Z quantized_decomposed_quantize_per_tensor_default_1493: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_37, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_cat_default_37 = None 2025-06-05T23:26:40.8215875Z quantized_decomposed_dequantize_per_tensor_default_2046: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1493, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1493 = None 2025-06-05T23:26:40.8216650Z aten_view_copy_default_170: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2046, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_2046 = None 2025-06-05T23:26:40.8217590Z quantized_decomposed_quantize_per_tensor_default_1494: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_170, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_view_copy_default_170 = None 2025-06-05T23:26:40.8217668Z 2025-06-05T23:26:40.8218621Z # File: .74:5247 in forward, code: dequantize_per_tensor_default_1652 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1652, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantize_per_tensor_default_1652 = None 2025-06-05T23:26:40.8219827Z quantized_decomposed_dequantize_per_tensor_default_2047: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1494, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1494 = None 2025-06-05T23:26:40.8219907Z 2025-06-05T23:26:40.8220675Z # File: .74:5249 in forward, code: quantize_per_tensor_default_1653 = torch.ops.quantized_decomposed.quantize_per_tensor.default(type_as_18, 0.00035090342862531543, 32108, 0, 65535, torch.int32); type_as_18 = None 2025-06-05T23:26:40.8221862Z quantized_decomposed_quantize_per_tensor_default_1495: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_2045, 0.00035090342862531543, 32108, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_2045 = None 2025-06-05T23:26:40.8221941Z 2025-06-05T23:26:40.8222483Z # File: /pytorch/executorch/examples/models/llama/attention.py:416 in forward, code: q = q.transpose(1, 2) # (bs, n_local_heads, seqlen, head_dim) 2025-06-05T23:26:40.8223659Z quantized_decomposed_dequantize_per_tensor_default_2048: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1495, 0.00035090342862531543, 32108, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1495 = None 2025-06-05T23:26:40.8223735Z 2025-06-05T23:26:40.8224554Z # File: .74:5252 in forward, code: quantize_per_tensor_default_1654 = torch.ops.quantized_decomposed.quantize_per_tensor.default(type_as_19, 0.00041487260023131967, 31841, 0, 65535, torch.int32); type_as_19 = None 2025-06-05T23:26:40.8225724Z quantized_decomposed_quantize_per_tensor_default_1496: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_2047, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_2047 = None 2025-06-05T23:26:40.8225802Z 2025-06-05T23:26:40.8226491Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:510 in update, code: k_out = torch.ops.aten.index_put_(self.past_k_caches, [None, input_pos], k_val) 2025-06-05T23:26:40.8227684Z quantized_decomposed_dequantize_per_tensor_default_2049: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1496, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1496 = None 2025-06-05T23:26:40.8227764Z 2025-06-05T23:26:40.8228299Z # File: /pytorch/executorch/examples/models/llama/attention.py:416 in forward, code: q = q.transpose(1, 2) # (bs, n_local_heads, seqlen, head_dim) 2025-06-05T23:26:40.8229100Z aten_permute_copy_default_375: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2048, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2048 = None 2025-06-05T23:26:40.8230066Z quantized_decomposed_quantize_per_tensor_default_1497: "i32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_375, 0.00035090342862531543, 32108, 0, 65535, torch.int32); aten_permute_copy_default_375 = None 2025-06-05T23:26:40.8230145Z 2025-06-05T23:26:40.8230718Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:324 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-06-05T23:26:40.8232015Z quantized_decomposed_dequantize_per_tensor_default_2050: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1497, 0.00035090342862531543, 32108, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1497 = None 2025-06-05T23:26:40.8232093Z 2025-06-05T23:26:40.8232525Z # File: /pytorch/executorch/examples/models/llama/attention.py:435 in forward, code: attn_mask = self.mask[input_pos] 2025-06-05T23:26:40.8233337Z aten_index_tensor_11: "f32[1, 128]" = executorch_exir_dialects_edge__ops_aten_index_Tensor(quantized_decomposed_dequantize_per_tensor_default_140, [attn_options_input_pos]); quantized_decomposed_dequantize_per_tensor_default_140 = None 2025-06-05T23:26:40.8234224Z quantized_decomposed_quantize_per_tensor_default_1498: "i32[1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_tensor_11, 0.0038910505827516317, 65535, 0, 65535, torch.int32); aten_index_tensor_11 = None 2025-06-05T23:26:40.8234300Z 2025-06-05T23:26:40.8234797Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:325 in forward, code: attn_weight += attn_mask 2025-06-05T23:26:40.8235970Z quantized_decomposed_dequantize_per_tensor_default_2051: "f32[1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1498, 0.0038910505827516317, 65535, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1498 = None 2025-06-05T23:26:40.8236074Z 2025-06-05T23:26:40.8236784Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:510 in update, code: k_out = torch.ops.aten.index_put_(self.past_k_caches, [None, input_pos], k_val) 2025-06-05T23:26:40.8238097Z aten_index_put_default_18: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(quantized_decomposed_dequantize_per_tensor_default_141, [None, attn_options_input_pos], quantized_decomposed_dequantize_per_tensor_default_2049); quantized_decomposed_dequantize_per_tensor_default_141 = quantized_decomposed_dequantize_per_tensor_default_2049 = None 2025-06-05T23:26:40.8239033Z quantized_decomposed_quantize_per_tensor_default_1499: "i32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_put_default_18, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_index_put_default_18 = None 2025-06-05T23:26:40.8239139Z 2025-06-05T23:26:40.8239943Z # File: .74:5262 in forward, code: dequantize_per_tensor_default_1657 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1657, 0.00041487260023131967, 31841, 0, 65535, torch.int32) 2025-06-05T23:26:40.8240900Z quantized_decomposed_dequantize_per_tensor_default_2052: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1499, 0.00041487260023131967, 31841, 0, 65535, torch.int32) 2025-06-05T23:26:40.8240975Z 2025-06-05T23:26:40.8241623Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.8242578Z quantized_decomposed_dequantize_per_tensor_default_2053: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1499, 0.00041487260023131967, 31841, 0, 65535, torch.int32) 2025-06-05T23:26:40.8243511Z quantized_decomposed_dequantize_per_tensor_default_2054: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1499, 0.00041487260023131967, 31841, 0, 65535, torch.int32) 2025-06-05T23:26:40.8244485Z quantized_decomposed_dequantize_per_tensor_default_2055: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1499, 0.00041487260023131967, 31841, 0, 65535, torch.int32) 2025-06-05T23:26:40.8245423Z quantized_decomposed_dequantize_per_tensor_default_2056: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1499, 0.00041487260023131967, 31841, 0, 65535, torch.int32) 2025-06-05T23:26:40.8246366Z quantized_decomposed_dequantize_per_tensor_default_2057: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1499, 0.00041487260023131967, 31841, 0, 65535, torch.int32) 2025-06-05T23:26:40.8247313Z quantized_decomposed_dequantize_per_tensor_default_2058: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1499, 0.00041487260023131967, 31841, 0, 65535, torch.int32) 2025-06-05T23:26:40.8248249Z quantized_decomposed_dequantize_per_tensor_default_2059: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1499, 0.00041487260023131967, 31841, 0, 65535, torch.int32) 2025-06-05T23:26:40.8249250Z quantized_decomposed_dequantize_per_tensor_default_2060: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1499, 0.00041487260023131967, 31841, 0, 65535, torch.int32) 2025-06-05T23:26:40.8250180Z quantized_decomposed_dequantize_per_tensor_default_2061: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1499, 0.00041487260023131967, 31841, 0, 65535, torch.int32) 2025-06-05T23:26:40.8251121Z quantized_decomposed_dequantize_per_tensor_default_2062: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1499, 0.00041487260023131967, 31841, 0, 65535, torch.int32) 2025-06-05T23:26:40.8252102Z quantized_decomposed_dequantize_per_tensor_default_2063: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1499, 0.00041487260023131967, 31841, 0, 65535, torch.int32) 2025-06-05T23:26:40.8253285Z quantized_decomposed_dequantize_per_tensor_default_2064: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1499, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1499 = None 2025-06-05T23:26:40.8253373Z 2025-06-05T23:26:40.8254043Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:511 in update, code: v_out = torch.ops.aten.index_put_(self.past_v_caches, [None, input_pos], v_val) 2025-06-05T23:26:40.8255349Z aten_index_put_default_19: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(quantized_decomposed_dequantize_per_tensor_default_142, [None, attn_options_input_pos], quantized_decomposed_dequantize_per_tensor_default_2013); quantized_decomposed_dequantize_per_tensor_default_142 = quantized_decomposed_dequantize_per_tensor_default_2013 = None 2025-06-05T23:26:40.8256310Z quantized_decomposed_quantize_per_tensor_default_1500: "i32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_put_default_19, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_index_put_default_19 = None 2025-06-05T23:26:40.8256392Z 2025-06-05T23:26:40.8257212Z # File: .74:5277 in forward, code: dequantize_per_tensor_default_1658 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1658, 0.0001724863686831668, 32338, 0, 65535, torch.int32) 2025-06-05T23:26:40.8258148Z quantized_decomposed_dequantize_per_tensor_default_2065: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1500, 0.0001724863686831668, 32338, 0, 65535, torch.int32) 2025-06-05T23:26:40.8258224Z 2025-06-05T23:26:40.8258875Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.8259814Z quantized_decomposed_dequantize_per_tensor_default_2066: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1500, 0.0001724863686831668, 32338, 0, 65535, torch.int32) 2025-06-05T23:26:40.8260772Z quantized_decomposed_dequantize_per_tensor_default_2067: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1500, 0.0001724863686831668, 32338, 0, 65535, torch.int32) 2025-06-05T23:26:40.8261734Z quantized_decomposed_dequantize_per_tensor_default_2068: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1500, 0.0001724863686831668, 32338, 0, 65535, torch.int32) 2025-06-05T23:26:40.8262668Z quantized_decomposed_dequantize_per_tensor_default_2069: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1500, 0.0001724863686831668, 32338, 0, 65535, torch.int32) 2025-06-05T23:26:40.8263611Z quantized_decomposed_dequantize_per_tensor_default_2070: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1500, 0.0001724863686831668, 32338, 0, 65535, torch.int32) 2025-06-05T23:26:40.8264575Z quantized_decomposed_dequantize_per_tensor_default_2071: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1500, 0.0001724863686831668, 32338, 0, 65535, torch.int32) 2025-06-05T23:26:40.8265515Z quantized_decomposed_dequantize_per_tensor_default_2072: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1500, 0.0001724863686831668, 32338, 0, 65535, torch.int32) 2025-06-05T23:26:40.8266460Z quantized_decomposed_dequantize_per_tensor_default_2073: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1500, 0.0001724863686831668, 32338, 0, 65535, torch.int32) 2025-06-05T23:26:40.8267391Z quantized_decomposed_dequantize_per_tensor_default_2074: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1500, 0.0001724863686831668, 32338, 0, 65535, torch.int32) 2025-06-05T23:26:40.8268354Z quantized_decomposed_dequantize_per_tensor_default_2075: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1500, 0.0001724863686831668, 32338, 0, 65535, torch.int32) 2025-06-05T23:26:40.8269298Z quantized_decomposed_dequantize_per_tensor_default_2076: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1500, 0.0001724863686831668, 32338, 0, 65535, torch.int32) 2025-06-05T23:26:40.8270498Z quantized_decomposed_dequantize_per_tensor_default_2077: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1500, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1500 = None 2025-06-05T23:26:40.8270575Z 2025-06-05T23:26:40.8271418Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.8272253Z aten_permute_copy_default_376: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2064, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2064 = None 2025-06-05T23:26:40.8273507Z quantized_decomposed_quantize_per_tensor_default_1501: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_376, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_permute_copy_default_376 = None 2025-06-05T23:26:40.8274732Z quantized_decomposed_dequantize_per_tensor_default_2078: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1501, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1501 = None 2025-06-05T23:26:40.8275503Z aten_select_copy_int_432: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2078, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2078 = None 2025-06-05T23:26:40.8276412Z quantized_decomposed_quantize_per_tensor_default_1502: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_432, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_select_copy_int_432 = None 2025-06-05T23:26:40.8277641Z quantized_decomposed_dequantize_per_tensor_default_2079: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1502, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1502 = None 2025-06-05T23:26:40.8278383Z aten_select_copy_int_433: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2079, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2079 = None 2025-06-05T23:26:40.8279290Z quantized_decomposed_quantize_per_tensor_default_1503: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_433, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_select_copy_int_433 = None 2025-06-05T23:26:40.8279385Z 2025-06-05T23:26:40.8280349Z # File: .74:5298 in forward, code: dequantize_per_tensor_default_1661 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1661, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantize_per_tensor_default_1661 = None 2025-06-05T23:26:40.8281570Z quantized_decomposed_dequantize_per_tensor_default_2080: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1503, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1503 = None 2025-06-05T23:26:40.8281649Z 2025-06-05T23:26:40.8282522Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.8283359Z aten_permute_copy_default_377: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2063, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2063 = None 2025-06-05T23:26:40.8284322Z quantized_decomposed_quantize_per_tensor_default_1504: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_377, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_permute_copy_default_377 = None 2025-06-05T23:26:40.8285497Z quantized_decomposed_dequantize_per_tensor_default_2081: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1504, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1504 = None 2025-06-05T23:26:40.8286292Z aten_select_copy_int_434: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2081, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2081 = None 2025-06-05T23:26:40.8287232Z quantized_decomposed_quantize_per_tensor_default_1505: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_434, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_select_copy_int_434 = None 2025-06-05T23:26:40.8288421Z quantized_decomposed_dequantize_per_tensor_default_2082: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1505, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1505 = None 2025-06-05T23:26:40.8289199Z aten_select_copy_int_435: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2082, 0, 1); quantized_decomposed_dequantize_per_tensor_default_2082 = None 2025-06-05T23:26:40.8290117Z quantized_decomposed_quantize_per_tensor_default_1506: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_435, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_select_copy_int_435 = None 2025-06-05T23:26:40.8290194Z 2025-06-05T23:26:40.8291155Z # File: .74:5307 in forward, code: dequantize_per_tensor_default_1664 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1664, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantize_per_tensor_default_1664 = None 2025-06-05T23:26:40.8292335Z quantized_decomposed_dequantize_per_tensor_default_2083: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1506, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1506 = None 2025-06-05T23:26:40.8292415Z 2025-06-05T23:26:40.8293058Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.8293934Z aten_permute_copy_default_378: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2062, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2062 = None 2025-06-05T23:26:40.8294894Z quantized_decomposed_quantize_per_tensor_default_1507: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_378, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_permute_copy_default_378 = None 2025-06-05T23:26:40.8296101Z quantized_decomposed_dequantize_per_tensor_default_2084: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1507, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1507 = None 2025-06-05T23:26:40.8296846Z aten_select_copy_int_436: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2084, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2084 = None 2025-06-05T23:26:40.8297758Z quantized_decomposed_quantize_per_tensor_default_1508: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_436, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_select_copy_int_436 = None 2025-06-05T23:26:40.8299006Z quantized_decomposed_dequantize_per_tensor_default_2085: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1508, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1508 = None 2025-06-05T23:26:40.8299752Z aten_select_copy_int_437: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2085, 0, 2); quantized_decomposed_dequantize_per_tensor_default_2085 = None 2025-06-05T23:26:40.8300674Z quantized_decomposed_quantize_per_tensor_default_1509: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_437, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_select_copy_int_437 = None 2025-06-05T23:26:40.8300779Z 2025-06-05T23:26:40.8301742Z # File: .74:5316 in forward, code: dequantize_per_tensor_default_1667 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1667, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantize_per_tensor_default_1667 = None 2025-06-05T23:26:40.8302933Z quantized_decomposed_dequantize_per_tensor_default_2086: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1509, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1509 = None 2025-06-05T23:26:40.8303011Z 2025-06-05T23:26:40.8303651Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.8304480Z aten_permute_copy_default_379: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2061, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2061 = None 2025-06-05T23:26:40.8305447Z quantized_decomposed_quantize_per_tensor_default_1510: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_379, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_permute_copy_default_379 = None 2025-06-05T23:26:40.8306663Z quantized_decomposed_dequantize_per_tensor_default_2087: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1510, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1510 = None 2025-06-05T23:26:40.8307408Z aten_select_copy_int_438: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2087, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2087 = None 2025-06-05T23:26:40.8308318Z quantized_decomposed_quantize_per_tensor_default_1511: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_438, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_select_copy_int_438 = None 2025-06-05T23:26:40.8309502Z quantized_decomposed_dequantize_per_tensor_default_2088: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1511, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1511 = None 2025-06-05T23:26:40.8310246Z aten_select_copy_int_439: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2088, 0, 3); quantized_decomposed_dequantize_per_tensor_default_2088 = None 2025-06-05T23:26:40.8311294Z quantized_decomposed_quantize_per_tensor_default_1512: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_439, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_select_copy_int_439 = None 2025-06-05T23:26:40.8311372Z 2025-06-05T23:26:40.8312331Z # File: .74:5325 in forward, code: dequantize_per_tensor_default_1670 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1670, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantize_per_tensor_default_1670 = None 2025-06-05T23:26:40.8313604Z quantized_decomposed_dequantize_per_tensor_default_2089: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1512, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1512 = None 2025-06-05T23:26:40.8319502Z 2025-06-05T23:26:40.8320223Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.8321054Z aten_permute_copy_default_380: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2060, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2060 = None 2025-06-05T23:26:40.8322030Z quantized_decomposed_quantize_per_tensor_default_1513: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_380, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_permute_copy_default_380 = None 2025-06-05T23:26:40.8323224Z quantized_decomposed_dequantize_per_tensor_default_2090: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1513, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1513 = None 2025-06-05T23:26:40.8324072Z aten_select_copy_int_440: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2090, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2090 = None 2025-06-05T23:26:40.8324990Z quantized_decomposed_quantize_per_tensor_default_1514: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_440, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_select_copy_int_440 = None 2025-06-05T23:26:40.8326171Z quantized_decomposed_dequantize_per_tensor_default_2091: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1514, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1514 = None 2025-06-05T23:26:40.8326934Z aten_select_copy_int_441: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2091, 0, 4); quantized_decomposed_dequantize_per_tensor_default_2091 = None 2025-06-05T23:26:40.8327848Z quantized_decomposed_quantize_per_tensor_default_1515: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_441, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_select_copy_int_441 = None 2025-06-05T23:26:40.8327944Z 2025-06-05T23:26:40.8328936Z # File: .74:5334 in forward, code: dequantize_per_tensor_default_1673 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1673, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantize_per_tensor_default_1673 = None 2025-06-05T23:26:40.8330143Z quantized_decomposed_dequantize_per_tensor_default_2092: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1515, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1515 = None 2025-06-05T23:26:40.8330239Z 2025-06-05T23:26:40.8330882Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.8331707Z aten_permute_copy_default_381: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2059, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2059 = None 2025-06-05T23:26:40.8332726Z quantized_decomposed_quantize_per_tensor_default_1516: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_381, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_permute_copy_default_381 = None 2025-06-05T23:26:40.8333904Z quantized_decomposed_dequantize_per_tensor_default_2093: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1516, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1516 = None 2025-06-05T23:26:40.8334660Z aten_select_copy_int_442: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2093, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2093 = None 2025-06-05T23:26:40.8335582Z quantized_decomposed_quantize_per_tensor_default_1517: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_442, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_select_copy_int_442 = None 2025-06-05T23:26:40.8336818Z quantized_decomposed_dequantize_per_tensor_default_2094: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1517, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1517 = None 2025-06-05T23:26:40.8337558Z aten_select_copy_int_443: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2094, 0, 5); quantized_decomposed_dequantize_per_tensor_default_2094 = None 2025-06-05T23:26:40.8338474Z quantized_decomposed_quantize_per_tensor_default_1518: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_443, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_select_copy_int_443 = None 2025-06-05T23:26:40.8338567Z 2025-06-05T23:26:40.8339527Z # File: .74:5343 in forward, code: dequantize_per_tensor_default_1676 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1676, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantize_per_tensor_default_1676 = None 2025-06-05T23:26:40.8340697Z quantized_decomposed_dequantize_per_tensor_default_2095: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1518, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1518 = None 2025-06-05T23:26:40.8340812Z 2025-06-05T23:26:40.8341477Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.8342310Z aten_permute_copy_default_382: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2058, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2058 = None 2025-06-05T23:26:40.8343272Z quantized_decomposed_quantize_per_tensor_default_1519: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_382, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_permute_copy_default_382 = None 2025-06-05T23:26:40.8344474Z quantized_decomposed_dequantize_per_tensor_default_2096: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1519, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1519 = None 2025-06-05T23:26:40.8345235Z aten_select_copy_int_444: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2096, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2096 = None 2025-06-05T23:26:40.8346149Z quantized_decomposed_quantize_per_tensor_default_1520: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_444, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_select_copy_int_444 = None 2025-06-05T23:26:40.8347333Z quantized_decomposed_dequantize_per_tensor_default_2097: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1520, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1520 = None 2025-06-05T23:26:40.8348078Z aten_select_copy_int_445: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2097, 0, 6); quantized_decomposed_dequantize_per_tensor_default_2097 = None 2025-06-05T23:26:40.8349008Z quantized_decomposed_quantize_per_tensor_default_1521: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_445, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_select_copy_int_445 = None 2025-06-05T23:26:40.8349100Z 2025-06-05T23:26:40.8350061Z # File: .74:5352 in forward, code: dequantize_per_tensor_default_1679 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1679, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantize_per_tensor_default_1679 = None 2025-06-05T23:26:40.8351346Z quantized_decomposed_dequantize_per_tensor_default_2098: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1521, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1521 = None 2025-06-05T23:26:40.8351424Z 2025-06-05T23:26:40.8352066Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.8352899Z aten_permute_copy_default_383: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2057, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2057 = None 2025-06-05T23:26:40.8353925Z quantized_decomposed_quantize_per_tensor_default_1522: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_383, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_permute_copy_default_383 = None 2025-06-05T23:26:40.8355104Z quantized_decomposed_dequantize_per_tensor_default_2099: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1522, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1522 = None 2025-06-05T23:26:40.8355865Z aten_select_copy_int_446: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2099, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2099 = None 2025-06-05T23:26:40.8356807Z quantized_decomposed_quantize_per_tensor_default_1523: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_446, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_select_copy_int_446 = None 2025-06-05T23:26:40.8357994Z quantized_decomposed_dequantize_per_tensor_default_2100: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1523, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1523 = None 2025-06-05T23:26:40.8358732Z aten_select_copy_int_447: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2100, 0, 7); quantized_decomposed_dequantize_per_tensor_default_2100 = None 2025-06-05T23:26:40.8359638Z quantized_decomposed_quantize_per_tensor_default_1524: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_447, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_select_copy_int_447 = None 2025-06-05T23:26:40.8359727Z 2025-06-05T23:26:40.8360710Z # File: .74:5361 in forward, code: dequantize_per_tensor_default_1682 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1682, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantize_per_tensor_default_1682 = None 2025-06-05T23:26:40.8361889Z quantized_decomposed_dequantize_per_tensor_default_2101: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1524, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1524 = None 2025-06-05T23:26:40.8361966Z 2025-06-05T23:26:40.8362605Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.8363430Z aten_permute_copy_default_384: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2056, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2056 = None 2025-06-05T23:26:40.8364396Z quantized_decomposed_quantize_per_tensor_default_1525: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_384, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_permute_copy_default_384 = None 2025-06-05T23:26:40.8365597Z quantized_decomposed_dequantize_per_tensor_default_2102: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1525, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1525 = None 2025-06-05T23:26:40.8366384Z aten_select_copy_int_448: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2102, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2102 = None 2025-06-05T23:26:40.8367294Z quantized_decomposed_quantize_per_tensor_default_1526: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_448, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_select_copy_int_448 = None 2025-06-05T23:26:40.8368476Z quantized_decomposed_dequantize_per_tensor_default_2103: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1526, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1526 = None 2025-06-05T23:26:40.8369244Z aten_select_copy_int_449: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2103, 0, 8); quantized_decomposed_dequantize_per_tensor_default_2103 = None 2025-06-05T23:26:40.8370166Z quantized_decomposed_quantize_per_tensor_default_1527: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_449, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_select_copy_int_449 = None 2025-06-05T23:26:40.8370243Z 2025-06-05T23:26:40.8371191Z # File: .74:5370 in forward, code: dequantize_per_tensor_default_1685 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1685, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantize_per_tensor_default_1685 = None 2025-06-05T23:26:40.8372378Z quantized_decomposed_dequantize_per_tensor_default_2104: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1527, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1527 = None 2025-06-05T23:26:40.8372453Z 2025-06-05T23:26:40.8373497Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.8374326Z aten_permute_copy_default_385: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2055, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2055 = None 2025-06-05T23:26:40.8375289Z quantized_decomposed_quantize_per_tensor_default_1528: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_385, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_permute_copy_default_385 = None 2025-06-05T23:26:40.8376481Z quantized_decomposed_dequantize_per_tensor_default_2105: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1528, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1528 = None 2025-06-05T23:26:40.8377232Z aten_select_copy_int_450: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2105, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2105 = None 2025-06-05T23:26:40.8378195Z quantized_decomposed_quantize_per_tensor_default_1529: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_450, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_select_copy_int_450 = None 2025-06-05T23:26:40.8379414Z quantized_decomposed_dequantize_per_tensor_default_2106: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1529, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1529 = None 2025-06-05T23:26:40.8380155Z aten_select_copy_int_451: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2106, 0, 9); quantized_decomposed_dequantize_per_tensor_default_2106 = None 2025-06-05T23:26:40.8381078Z quantized_decomposed_quantize_per_tensor_default_1530: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_451, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_select_copy_int_451 = None 2025-06-05T23:26:40.8381208Z 2025-06-05T23:26:40.8382162Z # File: .74:5379 in forward, code: dequantize_per_tensor_default_1688 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1688, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantize_per_tensor_default_1688 = None 2025-06-05T23:26:40.8383343Z quantized_decomposed_dequantize_per_tensor_default_2107: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1530, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1530 = None 2025-06-05T23:26:40.8383420Z 2025-06-05T23:26:40.8384061Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.8384899Z aten_permute_copy_default_386: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2054, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2054 = None 2025-06-05T23:26:40.8385887Z quantized_decomposed_quantize_per_tensor_default_1531: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_386, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_permute_copy_default_386 = None 2025-06-05T23:26:40.8387069Z quantized_decomposed_dequantize_per_tensor_default_2108: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1531, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1531 = None 2025-06-05T23:26:40.8387825Z aten_select_copy_int_452: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2108, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2108 = None 2025-06-05T23:26:40.8388746Z quantized_decomposed_quantize_per_tensor_default_1532: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_452, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_select_copy_int_452 = None 2025-06-05T23:26:40.8389930Z quantized_decomposed_dequantize_per_tensor_default_2109: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1532, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1532 = None 2025-06-05T23:26:40.8390721Z aten_select_copy_int_453: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2109, 0, 10); quantized_decomposed_dequantize_per_tensor_default_2109 = None 2025-06-05T23:26:40.8391731Z quantized_decomposed_quantize_per_tensor_default_1533: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_453, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_select_copy_int_453 = None 2025-06-05T23:26:40.8391810Z 2025-06-05T23:26:40.8392763Z # File: .74:5388 in forward, code: dequantize_per_tensor_default_1691 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1691, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantize_per_tensor_default_1691 = None 2025-06-05T23:26:40.8394005Z quantized_decomposed_dequantize_per_tensor_default_2110: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1533, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1533 = None 2025-06-05T23:26:40.8394082Z 2025-06-05T23:26:40.8394721Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.8395542Z aten_permute_copy_default_387: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2053, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2053 = None 2025-06-05T23:26:40.8396506Z quantized_decomposed_quantize_per_tensor_default_1534: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_387, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_permute_copy_default_387 = None 2025-06-05T23:26:40.8397696Z quantized_decomposed_dequantize_per_tensor_default_2111: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1534, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1534 = None 2025-06-05T23:26:40.8398467Z aten_select_copy_int_454: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2111, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2111 = None 2025-06-05T23:26:40.8399394Z quantized_decomposed_quantize_per_tensor_default_1535: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_454, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_select_copy_int_454 = None 2025-06-05T23:26:40.8400567Z quantized_decomposed_dequantize_per_tensor_default_2112: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1535, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1535 = None 2025-06-05T23:26:40.8401318Z aten_select_copy_int_455: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2112, 0, 11); quantized_decomposed_dequantize_per_tensor_default_2112 = None 2025-06-05T23:26:40.8402235Z quantized_decomposed_quantize_per_tensor_default_1536: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_455, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_select_copy_int_455 = None 2025-06-05T23:26:40.8402336Z 2025-06-05T23:26:40.8403313Z # File: .74:5397 in forward, code: dequantize_per_tensor_default_1694 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1694, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantize_per_tensor_default_1694 = None 2025-06-05T23:26:40.8404511Z quantized_decomposed_dequantize_per_tensor_default_2113: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1536, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1536 = None 2025-06-05T23:26:40.8404588Z 2025-06-05T23:26:40.8405238Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.8410952Z aten_cat_default_38: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([quantized_decomposed_dequantize_per_tensor_default_2080, quantized_decomposed_dequantize_per_tensor_default_2083, quantized_decomposed_dequantize_per_tensor_default_2086, quantized_decomposed_dequantize_per_tensor_default_2089, quantized_decomposed_dequantize_per_tensor_default_2092, quantized_decomposed_dequantize_per_tensor_default_2095, quantized_decomposed_dequantize_per_tensor_default_2098, quantized_decomposed_dequantize_per_tensor_default_2101, quantized_decomposed_dequantize_per_tensor_default_2104, quantized_decomposed_dequantize_per_tensor_default_2107, quantized_decomposed_dequantize_per_tensor_default_2110, quantized_decomposed_dequantize_per_tensor_default_2113]); quantized_decomposed_dequantize_per_tensor_default_2080 = quantized_decomposed_dequantize_per_tensor_default_2083 = quantized_decomposed_dequantize_per_tensor_default_2086 = quantized_decomposed_dequantize_per_tensor_default_2089 = quantized_decomposed_dequantize_per_tensor_default_2092 = quantized_decomposed_dequantize_per_tensor_default_2095 = quantized_decomposed_dequantize_per_tensor_default_2098 = quantized_decomposed_dequantize_per_tensor_default_2101 = quantized_decomposed_dequantize_per_tensor_default_2104 = quantized_decomposed_dequantize_per_tensor_default_2107 = quantized_decomposed_dequantize_per_tensor_default_2110 = quantized_decomposed_dequantize_per_tensor_default_2113 = None 2025-06-05T23:26:40.8411883Z quantized_decomposed_quantize_per_tensor_default_1537: "i32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_38, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_cat_default_38 = None 2025-06-05T23:26:40.8413066Z quantized_decomposed_dequantize_per_tensor_default_2114: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1537, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1537 = None 2025-06-05T23:26:40.8413878Z aten_view_copy_default_171: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2114, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_2114 = None 2025-06-05T23:26:40.8414813Z quantized_decomposed_quantize_per_tensor_default_1538: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_171, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_view_copy_default_171 = None 2025-06-05T23:26:40.8414902Z 2025-06-05T23:26:40.8415486Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:324 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-06-05T23:26:40.8416688Z quantized_decomposed_dequantize_per_tensor_default_2115: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1538, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1538 = None 2025-06-05T23:26:40.8416802Z 2025-06-05T23:26:40.8417440Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.8418252Z aten_permute_copy_default_388: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2077, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2077 = None 2025-06-05T23:26:40.8419256Z quantized_decomposed_quantize_per_tensor_default_1539: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_388, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_permute_copy_default_388 = None 2025-06-05T23:26:40.8420430Z quantized_decomposed_dequantize_per_tensor_default_2116: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1539, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1539 = None 2025-06-05T23:26:40.8421184Z aten_select_copy_int_456: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2116, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2116 = None 2025-06-05T23:26:40.8422092Z quantized_decomposed_quantize_per_tensor_default_1540: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_456, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_select_copy_int_456 = None 2025-06-05T23:26:40.8423263Z quantized_decomposed_dequantize_per_tensor_default_2117: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1540, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1540 = None 2025-06-05T23:26:40.8424041Z aten_select_copy_int_457: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2117, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2117 = None 2025-06-05T23:26:40.8424944Z quantized_decomposed_quantize_per_tensor_default_1541: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_457, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_select_copy_int_457 = None 2025-06-05T23:26:40.8425039Z 2025-06-05T23:26:40.8425982Z # File: .74:5412 in forward, code: dequantize_per_tensor_default_1699 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1699, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantize_per_tensor_default_1699 = None 2025-06-05T23:26:40.8427151Z quantized_decomposed_dequantize_per_tensor_default_2118: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1541, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1541 = None 2025-06-05T23:26:40.8427242Z 2025-06-05T23:26:40.8427878Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.8428756Z aten_permute_copy_default_389: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2076, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2076 = None 2025-06-05T23:26:40.8429726Z quantized_decomposed_quantize_per_tensor_default_1542: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_389, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_permute_copy_default_389 = None 2025-06-05T23:26:40.8430971Z quantized_decomposed_dequantize_per_tensor_default_2119: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1542, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1542 = None 2025-06-05T23:26:40.8431766Z aten_select_copy_int_458: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2119, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2119 = None 2025-06-05T23:26:40.8432670Z quantized_decomposed_quantize_per_tensor_default_1543: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_458, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_select_copy_int_458 = None 2025-06-05T23:26:40.8433841Z quantized_decomposed_dequantize_per_tensor_default_2120: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1543, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1543 = None 2025-06-05T23:26:40.8434594Z aten_select_copy_int_459: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2120, 0, 1); quantized_decomposed_dequantize_per_tensor_default_2120 = None 2025-06-05T23:26:40.8435499Z quantized_decomposed_quantize_per_tensor_default_1544: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_459, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_select_copy_int_459 = None 2025-06-05T23:26:40.8435616Z 2025-06-05T23:26:40.8436572Z # File: .74:5421 in forward, code: dequantize_per_tensor_default_1702 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1702, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantize_per_tensor_default_1702 = None 2025-06-05T23:26:40.8437737Z quantized_decomposed_dequantize_per_tensor_default_2121: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1544, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1544 = None 2025-06-05T23:26:40.8437828Z 2025-06-05T23:26:40.8438471Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.8439290Z aten_permute_copy_default_390: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2075, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2075 = None 2025-06-05T23:26:40.8440256Z quantized_decomposed_quantize_per_tensor_default_1545: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_390, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_permute_copy_default_390 = None 2025-06-05T23:26:40.8441481Z quantized_decomposed_dequantize_per_tensor_default_2122: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1545, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1545 = None 2025-06-05T23:26:40.8442241Z aten_select_copy_int_460: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2122, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2122 = None 2025-06-05T23:26:40.8443154Z quantized_decomposed_quantize_per_tensor_default_1546: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_460, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_select_copy_int_460 = None 2025-06-05T23:26:40.8444371Z quantized_decomposed_dequantize_per_tensor_default_2123: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1546, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1546 = None 2025-06-05T23:26:40.8445108Z aten_select_copy_int_461: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2123, 0, 2); quantized_decomposed_dequantize_per_tensor_default_2123 = None 2025-06-05T23:26:40.8446011Z quantized_decomposed_quantize_per_tensor_default_1547: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_461, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_select_copy_int_461 = None 2025-06-05T23:26:40.8446101Z 2025-06-05T23:26:40.8447056Z # File: .74:5430 in forward, code: dequantize_per_tensor_default_1705 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1705, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantize_per_tensor_default_1705 = None 2025-06-05T23:26:40.8448242Z quantized_decomposed_dequantize_per_tensor_default_2124: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1547, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1547 = None 2025-06-05T23:26:40.8448330Z 2025-06-05T23:26:40.8448972Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.8449807Z aten_permute_copy_default_391: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2074, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2074 = None 2025-06-05T23:26:40.8450760Z quantized_decomposed_quantize_per_tensor_default_1548: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_391, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_permute_copy_default_391 = None 2025-06-05T23:26:40.8451932Z quantized_decomposed_dequantize_per_tensor_default_2125: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1548, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1548 = None 2025-06-05T23:26:40.8452716Z aten_select_copy_int_462: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2125, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2125 = None 2025-06-05T23:26:40.8453643Z quantized_decomposed_quantize_per_tensor_default_1549: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_462, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_select_copy_int_462 = None 2025-06-05T23:26:40.8454833Z quantized_decomposed_dequantize_per_tensor_default_2126: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1549, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1549 = None 2025-06-05T23:26:40.8455573Z aten_select_copy_int_463: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2126, 0, 3); quantized_decomposed_dequantize_per_tensor_default_2126 = None 2025-06-05T23:26:40.8456505Z quantized_decomposed_quantize_per_tensor_default_1550: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_463, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_select_copy_int_463 = None 2025-06-05T23:26:40.8456594Z 2025-06-05T23:26:40.8457546Z # File: .74:5439 in forward, code: dequantize_per_tensor_default_1708 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1708, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantize_per_tensor_default_1708 = None 2025-06-05T23:26:40.8458734Z quantized_decomposed_dequantize_per_tensor_default_2127: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1550, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1550 = None 2025-06-05T23:26:40.8458813Z 2025-06-05T23:26:40.8459452Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.8460297Z aten_permute_copy_default_392: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2073, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2073 = None 2025-06-05T23:26:40.8461250Z quantized_decomposed_quantize_per_tensor_default_1551: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_392, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_permute_copy_default_392 = None 2025-06-05T23:26:40.8462430Z quantized_decomposed_dequantize_per_tensor_default_2128: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1551, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1551 = None 2025-06-05T23:26:40.8463192Z aten_select_copy_int_464: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2128, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2128 = None 2025-06-05T23:26:40.8464103Z quantized_decomposed_quantize_per_tensor_default_1552: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_464, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_select_copy_int_464 = None 2025-06-05T23:26:40.8465307Z quantized_decomposed_dequantize_per_tensor_default_2129: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1552, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1552 = None 2025-06-05T23:26:40.8466092Z aten_select_copy_int_465: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2129, 0, 4); quantized_decomposed_dequantize_per_tensor_default_2129 = None 2025-06-05T23:26:40.8466997Z quantized_decomposed_quantize_per_tensor_default_1553: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_465, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_select_copy_int_465 = None 2025-06-05T23:26:40.8467086Z 2025-06-05T23:26:40.8468070Z # File: .74:5448 in forward, code: dequantize_per_tensor_default_1711 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1711, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantize_per_tensor_default_1711 = None 2025-06-05T23:26:40.8469247Z quantized_decomposed_dequantize_per_tensor_default_2130: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1553, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1553 = None 2025-06-05T23:26:40.8469324Z 2025-06-05T23:26:40.8469964Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.8470880Z aten_permute_copy_default_393: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2072, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2072 = None 2025-06-05T23:26:40.8471836Z quantized_decomposed_quantize_per_tensor_default_1554: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_393, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_permute_copy_default_393 = None 2025-06-05T23:26:40.8473320Z quantized_decomposed_dequantize_per_tensor_default_2131: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1554, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1554 = None 2025-06-05T23:26:40.8474083Z aten_select_copy_int_466: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2131, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2131 = None 2025-06-05T23:26:40.8475002Z quantized_decomposed_quantize_per_tensor_default_1555: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_466, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_select_copy_int_466 = None 2025-06-05T23:26:40.8476182Z quantized_decomposed_dequantize_per_tensor_default_2132: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1555, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1555 = None 2025-06-05T23:26:40.8476924Z aten_select_copy_int_467: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2132, 0, 5); quantized_decomposed_dequantize_per_tensor_default_2132 = None 2025-06-05T23:26:40.8477933Z quantized_decomposed_quantize_per_tensor_default_1556: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_467, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_select_copy_int_467 = None 2025-06-05T23:26:40.8478013Z 2025-06-05T23:26:40.8478964Z # File: .74:5457 in forward, code: dequantize_per_tensor_default_1714 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1714, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantize_per_tensor_default_1714 = None 2025-06-05T23:26:40.8480133Z quantized_decomposed_dequantize_per_tensor_default_2133: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1556, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1556 = None 2025-06-05T23:26:40.8480251Z 2025-06-05T23:26:40.8480896Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.8481734Z aten_permute_copy_default_394: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2071, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2071 = None 2025-06-05T23:26:40.8482687Z quantized_decomposed_quantize_per_tensor_default_1557: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_394, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_permute_copy_default_394 = None 2025-06-05T23:26:40.8483879Z quantized_decomposed_dequantize_per_tensor_default_2134: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1557, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1557 = None 2025-06-05T23:26:40.8484628Z aten_select_copy_int_468: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2134, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2134 = None 2025-06-05T23:26:40.8485562Z quantized_decomposed_quantize_per_tensor_default_1558: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_468, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_select_copy_int_468 = None 2025-06-05T23:26:40.8486737Z quantized_decomposed_dequantize_per_tensor_default_2135: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1558, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1558 = None 2025-06-05T23:26:40.8487485Z aten_select_copy_int_469: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2135, 0, 6); quantized_decomposed_dequantize_per_tensor_default_2135 = None 2025-06-05T23:26:40.8488404Z quantized_decomposed_quantize_per_tensor_default_1559: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_469, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_select_copy_int_469 = None 2025-06-05T23:26:40.8488481Z 2025-06-05T23:26:40.8489455Z # File: .74:5466 in forward, code: dequantize_per_tensor_default_1717 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1717, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantize_per_tensor_default_1717 = None 2025-06-05T23:26:40.8490658Z quantized_decomposed_dequantize_per_tensor_default_2136: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1559, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1559 = None 2025-06-05T23:26:40.8490735Z 2025-06-05T23:26:40.8491376Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.8492200Z aten_permute_copy_default_395: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2070, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2070 = None 2025-06-05T23:26:40.8493180Z quantized_decomposed_quantize_per_tensor_default_1560: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_395, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_permute_copy_default_395 = None 2025-06-05T23:26:40.8494368Z quantized_decomposed_dequantize_per_tensor_default_2137: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1560, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1560 = None 2025-06-05T23:26:40.8495108Z aten_select_copy_int_470: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2137, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2137 = None 2025-06-05T23:26:40.8496017Z quantized_decomposed_quantize_per_tensor_default_1561: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_470, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_select_copy_int_470 = None 2025-06-05T23:26:40.8497227Z quantized_decomposed_dequantize_per_tensor_default_2138: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1561, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1561 = None 2025-06-05T23:26:40.8497966Z aten_select_copy_int_471: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2138, 0, 7); quantized_decomposed_dequantize_per_tensor_default_2138 = None 2025-06-05T23:26:40.8498890Z quantized_decomposed_quantize_per_tensor_default_1562: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_471, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_select_copy_int_471 = None 2025-06-05T23:26:40.8498968Z 2025-06-05T23:26:40.8499916Z # File: .74:5475 in forward, code: dequantize_per_tensor_default_1720 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1720, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantize_per_tensor_default_1720 = None 2025-06-05T23:26:40.8501088Z quantized_decomposed_dequantize_per_tensor_default_2139: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1562, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1562 = None 2025-06-05T23:26:40.8501166Z 2025-06-05T23:26:40.8501829Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.8502680Z aten_permute_copy_default_396: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2069, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2069 = None 2025-06-05T23:26:40.8503636Z quantized_decomposed_quantize_per_tensor_default_1563: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_396, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_permute_copy_default_396 = None 2025-06-05T23:26:40.8504819Z quantized_decomposed_dequantize_per_tensor_default_2140: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1563, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1563 = None 2025-06-05T23:26:40.8505590Z aten_select_copy_int_472: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2140, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2140 = None 2025-06-05T23:26:40.8506504Z quantized_decomposed_quantize_per_tensor_default_1564: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_472, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_select_copy_int_472 = None 2025-06-05T23:26:40.8507678Z quantized_decomposed_dequantize_per_tensor_default_2141: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1564, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1564 = None 2025-06-05T23:26:40.8508425Z aten_select_copy_int_473: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2141, 0, 8); quantized_decomposed_dequantize_per_tensor_default_2141 = None 2025-06-05T23:26:40.8509371Z quantized_decomposed_quantize_per_tensor_default_1565: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_473, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_select_copy_int_473 = None 2025-06-05T23:26:40.8509447Z 2025-06-05T23:26:40.8510403Z # File: .74:5484 in forward, code: dequantize_per_tensor_default_1723 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1723, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantize_per_tensor_default_1723 = None 2025-06-05T23:26:40.8511651Z quantized_decomposed_dequantize_per_tensor_default_2142: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1565, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1565 = None 2025-06-05T23:26:40.8511728Z 2025-06-05T23:26:40.8512384Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.8513192Z aten_permute_copy_default_397: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2068, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2068 = None 2025-06-05T23:26:40.8514186Z quantized_decomposed_quantize_per_tensor_default_1566: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_397, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_permute_copy_default_397 = None 2025-06-05T23:26:40.8515395Z quantized_decomposed_dequantize_per_tensor_default_2143: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1566, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1566 = None 2025-06-05T23:26:40.8516141Z aten_select_copy_int_474: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2143, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2143 = None 2025-06-05T23:26:40.8517071Z quantized_decomposed_quantize_per_tensor_default_1567: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_474, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_select_copy_int_474 = None 2025-06-05T23:26:40.8518264Z quantized_decomposed_dequantize_per_tensor_default_2144: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1567, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1567 = None 2025-06-05T23:26:40.8519005Z aten_select_copy_int_475: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2144, 0, 9); quantized_decomposed_dequantize_per_tensor_default_2144 = None 2025-06-05T23:26:40.8519921Z quantized_decomposed_quantize_per_tensor_default_1568: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_475, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_select_copy_int_475 = None 2025-06-05T23:26:40.8520002Z 2025-06-05T23:26:40.8520959Z # File: .74:5493 in forward, code: dequantize_per_tensor_default_1726 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1726, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantize_per_tensor_default_1726 = None 2025-06-05T23:26:40.8522176Z quantized_decomposed_dequantize_per_tensor_default_2145: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1568, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1568 = None 2025-06-05T23:26:40.8522252Z 2025-06-05T23:26:40.8522902Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.8523719Z aten_permute_copy_default_398: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2067, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2067 = None 2025-06-05T23:26:40.8524675Z quantized_decomposed_quantize_per_tensor_default_1569: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_398, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_permute_copy_default_398 = None 2025-06-05T23:26:40.8525859Z quantized_decomposed_dequantize_per_tensor_default_2146: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1569, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1569 = None 2025-06-05T23:26:40.8526664Z aten_select_copy_int_476: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2146, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2146 = None 2025-06-05T23:26:40.8527582Z quantized_decomposed_quantize_per_tensor_default_1570: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_476, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_select_copy_int_476 = None 2025-06-05T23:26:40.8528760Z quantized_decomposed_dequantize_per_tensor_default_2147: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1570, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1570 = None 2025-06-05T23:26:40.8529533Z aten_select_copy_int_477: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2147, 0, 10); quantized_decomposed_dequantize_per_tensor_default_2147 = None 2025-06-05T23:26:40.8530454Z quantized_decomposed_quantize_per_tensor_default_1571: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_477, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_select_copy_int_477 = None 2025-06-05T23:26:40.8530530Z 2025-06-05T23:26:40.8531492Z # File: .74:5502 in forward, code: dequantize_per_tensor_default_1729 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1729, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantize_per_tensor_default_1729 = None 2025-06-05T23:26:40.8532657Z quantized_decomposed_dequantize_per_tensor_default_2148: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1571, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1571 = None 2025-06-05T23:26:40.8532734Z 2025-06-05T23:26:40.8533383Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.8534222Z aten_permute_copy_default_399: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2066, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2066 = None 2025-06-05T23:26:40.8535177Z quantized_decomposed_quantize_per_tensor_default_1572: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_399, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_permute_copy_default_399 = None 2025-06-05T23:26:40.8536376Z quantized_decomposed_dequantize_per_tensor_default_2149: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1572, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1572 = None 2025-06-05T23:26:40.8537129Z aten_select_copy_int_478: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2149, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2149 = None 2025-06-05T23:26:40.8538062Z quantized_decomposed_quantize_per_tensor_default_1573: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_478, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_select_copy_int_478 = None 2025-06-05T23:26:40.8539276Z quantized_decomposed_dequantize_per_tensor_default_2150: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1573, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1573 = None 2025-06-05T23:26:40.8540042Z aten_select_copy_int_479: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2150, 0, 11); quantized_decomposed_dequantize_per_tensor_default_2150 = None 2025-06-05T23:26:40.8540941Z quantized_decomposed_quantize_per_tensor_default_1574: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_479, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_select_copy_int_479 = None 2025-06-05T23:26:40.8541045Z 2025-06-05T23:26:40.8542011Z # File: .74:5511 in forward, code: dequantize_per_tensor_default_1732 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1732, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantize_per_tensor_default_1732 = None 2025-06-05T23:26:40.8543172Z quantized_decomposed_dequantize_per_tensor_default_2151: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1574, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1574 = None 2025-06-05T23:26:40.8543251Z 2025-06-05T23:26:40.8543903Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.8549565Z aten_cat_default_39: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([quantized_decomposed_dequantize_per_tensor_default_2118, quantized_decomposed_dequantize_per_tensor_default_2121, quantized_decomposed_dequantize_per_tensor_default_2124, quantized_decomposed_dequantize_per_tensor_default_2127, quantized_decomposed_dequantize_per_tensor_default_2130, quantized_decomposed_dequantize_per_tensor_default_2133, quantized_decomposed_dequantize_per_tensor_default_2136, quantized_decomposed_dequantize_per_tensor_default_2139, quantized_decomposed_dequantize_per_tensor_default_2142, quantized_decomposed_dequantize_per_tensor_default_2145, quantized_decomposed_dequantize_per_tensor_default_2148, quantized_decomposed_dequantize_per_tensor_default_2151]); quantized_decomposed_dequantize_per_tensor_default_2118 = quantized_decomposed_dequantize_per_tensor_default_2121 = quantized_decomposed_dequantize_per_tensor_default_2124 = quantized_decomposed_dequantize_per_tensor_default_2127 = quantized_decomposed_dequantize_per_tensor_default_2130 = quantized_decomposed_dequantize_per_tensor_default_2133 = quantized_decomposed_dequantize_per_tensor_default_2136 = quantized_decomposed_dequantize_per_tensor_default_2139 = quantized_decomposed_dequantize_per_tensor_default_2142 = quantized_decomposed_dequantize_per_tensor_default_2145 = quantized_decomposed_dequantize_per_tensor_default_2148 = quantized_decomposed_dequantize_per_tensor_default_2151 = None 2025-06-05T23:26:40.8550467Z quantized_decomposed_quantize_per_tensor_default_1575: "i32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_39, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_cat_default_39 = None 2025-06-05T23:26:40.8551775Z quantized_decomposed_dequantize_per_tensor_default_2152: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1575, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1575 = None 2025-06-05T23:26:40.8552597Z aten_view_copy_default_172: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2152, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_2152 = None 2025-06-05T23:26:40.8553538Z quantized_decomposed_quantize_per_tensor_default_1576: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_172, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_view_copy_default_172 = None 2025-06-05T23:26:40.8553626Z 2025-06-05T23:26:40.8554580Z # File: .74:5517 in forward, code: dequantize_per_tensor_default_1734 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1734, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantize_per_tensor_default_1734 = None 2025-06-05T23:26:40.8555786Z quantized_decomposed_dequantize_per_tensor_default_2153: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1576, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1576 = None 2025-06-05T23:26:40.8555875Z 2025-06-05T23:26:40.8556826Z # File: .74:5518 in forward, code: quantize_per_tensor_default_1735 = torch.ops.quantized_decomposed.quantize_per_tensor.default(dequantize_per_tensor_default_1734, 0.0001747508649714291, 0, -32767, 32767, torch.int16); dequantize_per_tensor_default_1734 = None 2025-06-05T23:26:40.8558012Z quantized_decomposed_quantize_per_tensor_default_1577: "i16[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_2153, 0.0001747508649714291, 0, -32767, 32767, torch.int16); quantized_decomposed_dequantize_per_tensor_default_2153 = None 2025-06-05T23:26:40.8558091Z 2025-06-05T23:26:40.8558552Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:327 in forward, code: y = attn_weight @ v 2025-06-05T23:26:40.8559763Z quantized_decomposed_dequantize_per_tensor_default_2154: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1577, 0.0001747508649714291, 0, -32767, 32767, torch.int16); quantized_decomposed_quantize_per_tensor_default_1577 = None 2025-06-05T23:26:40.8559840Z 2025-06-05T23:26:40.8560417Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:324 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-06-05T23:26:40.8561247Z aten_permute_copy_default_400: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2115, [0, 1, 3, 2]); quantized_decomposed_dequantize_per_tensor_default_2115 = None 2025-06-05T23:26:40.8562215Z quantized_decomposed_quantize_per_tensor_default_1578: "i32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_400, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_permute_copy_default_400 = None 2025-06-05T23:26:40.8562292Z 2025-06-05T23:26:40.8563266Z # File: .74:5522 in forward, code: dequantize_per_tensor_default_1736 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1736, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantize_per_tensor_default_1736 = None 2025-06-05T23:26:40.8564473Z quantized_decomposed_dequantize_per_tensor_default_2155: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1578, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1578 = None 2025-06-05T23:26:40.8564584Z 2025-06-05T23:26:40.8565541Z # File: .74:5523 in forward, code: quantize_per_tensor_default_1737 = torch.ops.quantized_decomposed.quantize_per_tensor.default(dequantize_per_tensor_default_1736, 0.0004266138712409884, 0, -32767, 32767, torch.int16); dequantize_per_tensor_default_1736 = None 2025-06-05T23:26:40.8566715Z quantized_decomposed_quantize_per_tensor_default_1579: "i16[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_2155, 0.0004266138712409884, 0, -32767, 32767, torch.int16); quantized_decomposed_dequantize_per_tensor_default_2155 = None 2025-06-05T23:26:40.8566868Z 2025-06-05T23:26:40.8567444Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:324 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-06-05T23:26:40.8568617Z quantized_decomposed_dequantize_per_tensor_default_2156: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1579, 0.0004266138712409884, 0, -32767, 32767, torch.int16); quantized_decomposed_quantize_per_tensor_default_1579 = None 2025-06-05T23:26:40.8569426Z aten_expand_copy_default_36: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_2050, [1, 12, 1, 64]); quantized_decomposed_dequantize_per_tensor_default_2050 = None 2025-06-05T23:26:40.8569980Z aten_view_copy_default_173: "f32[12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_36, [12, 1, 64]); aten_expand_copy_default_36 = None 2025-06-05T23:26:40.8570799Z aten_expand_copy_default_37: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_2156, [1, 12, 64, 128]); quantized_decomposed_dequantize_per_tensor_default_2156 = None 2025-06-05T23:26:40.8571387Z aten_view_copy_default_174: "f32[12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_37, [12, 64, 128]); aten_expand_copy_default_37 = None 2025-06-05T23:26:40.8572043Z aten_bmm_default_18: "f32[12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_173, aten_view_copy_default_174); aten_view_copy_default_173 = aten_view_copy_default_174 = None 2025-06-05T23:26:40.8572574Z aten_view_copy_default_175: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_18, [1, 12, 1, 128]); aten_bmm_default_18 = None 2025-06-05T23:26:40.8573762Z quantized_decomposed_quantize_per_tensor_default_1580: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_175, 0.0032424358651041985, 35894, 0, 65535, torch.int32); aten_view_copy_default_175 = None 2025-06-05T23:26:40.8574950Z quantized_decomposed_dequantize_per_tensor_default_2157: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1580, 0.0032424358651041985, 35894, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1580 = None 2025-06-05T23:26:40.8575803Z quantized_decomposed_dequantize_per_tensor_default_2158: "f32[]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(b__frozen_param158, 1.9073777366429567e-06, 0, 0, 65535, torch.int32); b__frozen_param158 = None 2025-06-05T23:26:40.8577072Z aten_mul_tensor_145: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2157, quantized_decomposed_dequantize_per_tensor_default_2158); quantized_decomposed_dequantize_per_tensor_default_2157 = quantized_decomposed_dequantize_per_tensor_default_2158 = None 2025-06-05T23:26:40.8577964Z quantized_decomposed_quantize_per_tensor_default_1581: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_145, 0.0004053044831380248, 35894, 0, 65535, torch.int32); aten_mul_tensor_145 = None 2025-06-05T23:26:40.8578041Z 2025-06-05T23:26:40.8578544Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:325 in forward, code: attn_weight += attn_mask 2025-06-05T23:26:40.8579754Z quantized_decomposed_dequantize_per_tensor_default_2159: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1581, 0.0004053044831380248, 35894, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1581 = None 2025-06-05T23:26:40.8580914Z aten_add_tensor_47: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_2159, quantized_decomposed_dequantize_per_tensor_default_2051); quantized_decomposed_dequantize_per_tensor_default_2159 = quantized_decomposed_dequantize_per_tensor_default_2051 = None 2025-06-05T23:26:40.8581790Z quantized_decomposed_quantize_per_tensor_default_1582: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_47, 0.004210181534290314, 63056, 0, 65535, torch.int32); aten_add_tensor_47 = None 2025-06-05T23:26:40.8581869Z 2025-06-05T23:26:40.8582440Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:326 in forward, code: attn_weight = torch.softmax(attn_weight, dim=-1) 2025-06-05T23:26:40.8583662Z quantized_decomposed_dequantize_per_tensor_default_2160: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1582, 0.004210181534290314, 63056, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1582 = None 2025-06-05T23:26:40.8584453Z aten__softmax_default_9: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten__softmax_default(quantized_decomposed_dequantize_per_tensor_default_2160, -1, False); quantized_decomposed_dequantize_per_tensor_default_2160 = None 2025-06-05T23:26:40.8585367Z quantized_decomposed_quantize_per_tensor_default_1583: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten__softmax_default_9, 1.5259021893143654e-05, 0, 0, 65535, torch.int32); aten__softmax_default_9 = None 2025-06-05T23:26:40.8585447Z 2025-06-05T23:26:40.8585905Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:327 in forward, code: y = attn_weight @ v 2025-06-05T23:26:40.8587080Z quantized_decomposed_dequantize_per_tensor_default_2161: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1583, 1.5259021893143654e-05, 0, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1583 = None 2025-06-05T23:26:40.8587874Z aten_expand_copy_default_38: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_2161, [1, 12, 1, 128]); quantized_decomposed_dequantize_per_tensor_default_2161 = None 2025-06-05T23:26:40.8588461Z aten_view_copy_default_176: "f32[12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_38, [12, 1, 128]); aten_expand_copy_default_38 = None 2025-06-05T23:26:40.8589299Z aten_expand_copy_default_39: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_2154, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_2154 = None 2025-06-05T23:26:40.8589869Z aten_view_copy_default_177: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_39, [12, 128, 64]); aten_expand_copy_default_39 = None 2025-06-05T23:26:40.8590538Z aten_bmm_default_19: "f32[12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_176, aten_view_copy_default_177); aten_view_copy_default_176 = aten_view_copy_default_177 = None 2025-06-05T23:26:40.8591122Z aten_view_copy_default_178: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_19, [1, 12, 1, 64]); aten_bmm_default_19 = None 2025-06-05T23:26:40.8592054Z quantized_decomposed_quantize_per_tensor_default_1584: "i32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_178, 0.00012377489474602044, 34871, 0, 65535, torch.int32); aten_view_copy_default_178 = None 2025-06-05T23:26:40.8592146Z 2025-06-05T23:26:40.8592775Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:329 in forward, code: return y.transpose(1, 2).contiguous().view(bsz, seqlen, self.dim) 2025-06-05T23:26:40.8593948Z quantized_decomposed_dequantize_per_tensor_default_2162: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1584, 0.00012377489474602044, 34871, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1584 = None 2025-06-05T23:26:40.8594766Z aten_permute_copy_default_401: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2162, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2162 = None 2025-06-05T23:26:40.8595747Z quantized_decomposed_quantize_per_tensor_default_1585: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_401, 0.00012377489474602044, 34871, 0, 65535, torch.int32); aten_permute_copy_default_401 = None 2025-06-05T23:26:40.8596929Z quantized_decomposed_dequantize_per_tensor_default_2163: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1585, 0.00012377489474602044, 34871, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1585 = None 2025-06-05T23:26:40.8597711Z aten_view_copy_default_179: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2163, [1, 1, 768]); quantized_decomposed_dequantize_per_tensor_default_2163 = None 2025-06-05T23:26:40.8598656Z quantized_decomposed_quantize_per_tensor_default_1586: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_179, 0.00012377489474602044, 34871, 0, 65535, torch.int32); aten_view_copy_default_179 = None 2025-06-05T23:26:40.8598732Z 2025-06-05T23:26:40.8599255Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.8600462Z quantized_decomposed_dequantize_per_tensor_default_2164: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1586, 0.00012377489474602044, 34871, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1586 = None 2025-06-05T23:26:40.8601297Z aten_unsqueeze_copy_default_106: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2164, -1); quantized_decomposed_dequantize_per_tensor_default_2164 = None 2025-06-05T23:26:40.8602269Z quantized_decomposed_quantize_per_tensor_default_1587: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_106, 0.00012377489474602044, 34871, 0, 65535, torch.int32); aten_unsqueeze_copy_default_106 = None 2025-06-05T23:26:40.8602357Z 2025-06-05T23:26:40.8602786Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.8603967Z quantized_decomposed_dequantize_per_tensor_default_2165: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1587, 0.00012377489474602044, 34871, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1587 = None 2025-06-05T23:26:40.8604789Z aten_permute_copy_default_402: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2165, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2165 = None 2025-06-05T23:26:40.8605751Z quantized_decomposed_quantize_per_tensor_default_1588: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_402, 0.00012377489474602044, 34871, 0, 65535, torch.int32); aten_permute_copy_default_402 = None 2025-06-05T23:26:40.8605846Z 2025-06-05T23:26:40.8606211Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.8607409Z quantized_decomposed_dequantize_per_tensor_default_2166: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1588, 0.00012377489474602044, 34871, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1588 = None 2025-06-05T23:26:40.8608733Z aten_convolution_default_66: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_2166, quantized_decomposed_dequantize_per_tensor_default_86, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_2166 = quantized_decomposed_dequantize_per_tensor_default_86 = None 2025-06-05T23:26:40.8609690Z quantized_decomposed_quantize_per_tensor_default_1589: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_66, 0.00013408258382696658, 24208, 0, 65535, torch.int32); aten_convolution_default_66 = None 2025-06-05T23:26:40.8609780Z 2025-06-05T23:26:40.8610200Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.8611380Z quantized_decomposed_dequantize_per_tensor_default_2167: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1589, 0.00013408258382696658, 24208, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1589 = None 2025-06-05T23:26:40.8612224Z aten_permute_copy_default_403: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2167, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2167 = None 2025-06-05T23:26:40.8613211Z quantized_decomposed_quantize_per_tensor_default_1590: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_403, 0.00013408258382696658, 24208, 0, 65535, torch.int32); aten_permute_copy_default_403 = None 2025-06-05T23:26:40.8613290Z 2025-06-05T23:26:40.8613838Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.8615049Z quantized_decomposed_dequantize_per_tensor_default_2168: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1590, 0.00013408258382696658, 24208, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1590 = None 2025-06-05T23:26:40.8615842Z aten_squeeze_copy_dims_106: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_2168, [-1]); quantized_decomposed_dequantize_per_tensor_default_2168 = None 2025-06-05T23:26:40.8616776Z quantized_decomposed_quantize_per_tensor_default_1591: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_106, 0.00013408258382696658, 24208, 0, 65535, torch.int32); aten_squeeze_copy_dims_106 = None 2025-06-05T23:26:40.8616868Z 2025-06-05T23:26:40.8617238Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:132 in forward, code: h = x + h 2025-06-05T23:26:40.8618415Z quantized_decomposed_dequantize_per_tensor_default_2169: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1591, 0.00013408258382696658, 24208, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1591 = None 2025-06-05T23:26:40.8619597Z aten_add_tensor_48: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_1991, quantized_decomposed_dequantize_per_tensor_default_2169); quantized_decomposed_dequantize_per_tensor_default_1991 = quantized_decomposed_dequantize_per_tensor_default_2169 = None 2025-06-05T23:26:40.8620452Z quantized_decomposed_quantize_per_tensor_default_1592: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_48, 0.002711330307647586, 7452, 0, 65535, torch.int32); aten_add_tensor_48 = None 2025-06-05T23:26:40.8620543Z 2025-06-05T23:26:40.8621054Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:136 in forward, code: out = h + self.feed_forward(self.ffn_norm(h)) 2025-06-05T23:26:40.8621990Z quantized_decomposed_dequantize_per_tensor_default_2170: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1592, 0.002711330307647586, 7452, 0, 65535, torch.int32) 2025-06-05T23:26:40.8623167Z quantized_decomposed_dequantize_per_tensor_default_2171: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1592, 0.002711330307647586, 7452, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1592 = None 2025-06-05T23:26:40.8623682Z aten_pow_tensor_scalar_19: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(quantized_decomposed_dequantize_per_tensor_default_2171, 2) 2025-06-05T23:26:40.8624163Z aten_mean_dim_19: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_mean_dim(aten_pow_tensor_scalar_19, [2], True); aten_pow_tensor_scalar_19 = None 2025-06-05T23:26:40.8624646Z aten_add_scalar_19: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_add_Scalar(aten_mean_dim_19, 9.999999747378752e-06); aten_mean_dim_19 = None 2025-06-05T23:26:40.8625068Z aten_rsqrt_default_19: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_rsqrt_default(aten_add_scalar_19); aten_add_scalar_19 = None 2025-06-05T23:26:40.8625958Z aten_mul_tensor_146: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2171, aten_rsqrt_default_19); quantized_decomposed_dequantize_per_tensor_default_2171 = aten_rsqrt_default_19 = None 2025-06-05T23:26:40.8626786Z aten_mul_tensor_147: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_146, quantized_decomposed_dequantize_per_tensor_default_87); aten_mul_tensor_146 = quantized_decomposed_dequantize_per_tensor_default_87 = None 2025-06-05T23:26:40.8627686Z quantized_decomposed_quantize_per_tensor_default_1593: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_147, 0.00043149059638381004, 21157, 0, 65535, torch.int32); aten_mul_tensor_147 = None 2025-06-05T23:26:40.8627781Z 2025-06-05T23:26:40.8628303Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.8629247Z quantized_decomposed_dequantize_per_tensor_default_2172: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1593, 0.00043149059638381004, 21157, 0, 65535, torch.int32) 2025-06-05T23:26:40.8630439Z quantized_decomposed_dequantize_per_tensor_default_2173: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1593, 0.00043149059638381004, 21157, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1593 = None 2025-06-05T23:26:40.8631363Z aten_unsqueeze_copy_default_107: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2173, -1); quantized_decomposed_dequantize_per_tensor_default_2173 = None 2025-06-05T23:26:40.8632352Z quantized_decomposed_quantize_per_tensor_default_1594: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_107, 0.00043149059638381004, 21157, 0, 65535, torch.int32); aten_unsqueeze_copy_default_107 = None 2025-06-05T23:26:40.8632432Z 2025-06-05T23:26:40.8632842Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.8634041Z quantized_decomposed_dequantize_per_tensor_default_2174: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1594, 0.00043149059638381004, 21157, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1594 = None 2025-06-05T23:26:40.8634852Z aten_permute_copy_default_404: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2174, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2174 = None 2025-06-05T23:26:40.8635804Z quantized_decomposed_quantize_per_tensor_default_1595: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_404, 0.00043149059638381004, 21157, 0, 65535, torch.int32); aten_permute_copy_default_404 = None 2025-06-05T23:26:40.8635927Z 2025-06-05T23:26:40.8636316Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.8637492Z quantized_decomposed_dequantize_per_tensor_default_2175: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1595, 0.00043149059638381004, 21157, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1595 = None 2025-06-05T23:26:40.8638814Z aten_convolution_default_67: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_2175, quantized_decomposed_dequantize_per_tensor_default_88, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_2175 = quantized_decomposed_dequantize_per_tensor_default_88 = None 2025-06-05T23:26:40.8639790Z quantized_decomposed_quantize_per_tensor_default_1596: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_67, 0.0001975321938516572, 32198, 0, 65535, torch.int32); aten_convolution_default_67 = None 2025-06-05T23:26:40.8639877Z 2025-06-05T23:26:40.8640298Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.8641489Z quantized_decomposed_dequantize_per_tensor_default_2176: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1596, 0.0001975321938516572, 32198, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1596 = None 2025-06-05T23:26:40.8642317Z aten_permute_copy_default_405: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2176, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2176 = None 2025-06-05T23:26:40.8643275Z quantized_decomposed_quantize_per_tensor_default_1597: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_405, 0.0001975321938516572, 32198, 0, 65535, torch.int32); aten_permute_copy_default_405 = None 2025-06-05T23:26:40.8643364Z 2025-06-05T23:26:40.8643923Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.8645103Z quantized_decomposed_dequantize_per_tensor_default_2177: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1597, 0.0001975321938516572, 32198, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1597 = None 2025-06-05T23:26:40.8645890Z aten_squeeze_copy_dims_107: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_2177, [-1]); quantized_decomposed_dequantize_per_tensor_default_2177 = None 2025-06-05T23:26:40.8646821Z quantized_decomposed_quantize_per_tensor_default_1598: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_107, 0.0001975321938516572, 32198, 0, 65535, torch.int32); aten_squeeze_copy_dims_107 = None 2025-06-05T23:26:40.8646899Z 2025-06-05T23:26:40.8647424Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:37 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-06-05T23:26:40.8648384Z quantized_decomposed_dequantize_per_tensor_default_2178: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1598, 0.0001975321938516572, 32198, 0, 65535, torch.int32) 2025-06-05T23:26:40.8649601Z quantized_decomposed_dequantize_per_tensor_default_2179: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1598, 0.0001975321938516572, 32198, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1598 = None 2025-06-05T23:26:40.8650349Z aten_sigmoid_default_9: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_sigmoid_default(quantized_decomposed_dequantize_per_tensor_default_2179); quantized_decomposed_dequantize_per_tensor_default_2179 = None 2025-06-05T23:26:40.8651217Z quantized_decomposed_quantize_per_tensor_default_1599: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sigmoid_default_9, 1.52587890625e-05, 0, 0, 65535, torch.int32); aten_sigmoid_default_9 = None 2025-06-05T23:26:40.8652380Z quantized_decomposed_dequantize_per_tensor_default_2180: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1599, 1.52587890625e-05, 0, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1599 = None 2025-06-05T23:26:40.8653538Z aten_mul_tensor_148: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2178, quantized_decomposed_dequantize_per_tensor_default_2180); quantized_decomposed_dequantize_per_tensor_default_2178 = quantized_decomposed_dequantize_per_tensor_default_2180 = None 2025-06-05T23:26:40.8654424Z quantized_decomposed_quantize_per_tensor_default_1600: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_148, 0.0001045933531713672, 2662, 0, 65535, torch.int32); aten_mul_tensor_148 = None 2025-06-05T23:26:40.8655595Z quantized_decomposed_dequantize_per_tensor_default_2181: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1600, 0.0001045933531713672, 2662, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1600 = None 2025-06-05T23:26:40.8655672Z 2025-06-05T23:26:40.8656230Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.8657048Z aten_unsqueeze_copy_default_108: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2172, -1); quantized_decomposed_dequantize_per_tensor_default_2172 = None 2025-06-05T23:26:40.8658040Z quantized_decomposed_quantize_per_tensor_default_1601: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_108, 0.00043149059638381004, 21157, 0, 65535, torch.int32); aten_unsqueeze_copy_default_108 = None 2025-06-05T23:26:40.8658119Z 2025-06-05T23:26:40.8658522Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.8659715Z quantized_decomposed_dequantize_per_tensor_default_2182: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1601, 0.00043149059638381004, 21157, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1601 = None 2025-06-05T23:26:40.8660561Z aten_permute_copy_default_406: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2182, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2182 = None 2025-06-05T23:26:40.8661537Z quantized_decomposed_quantize_per_tensor_default_1602: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_406, 0.00043149059638381004, 21157, 0, 65535, torch.int32); aten_permute_copy_default_406 = None 2025-06-05T23:26:40.8661628Z 2025-06-05T23:26:40.8661988Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.8663153Z quantized_decomposed_dequantize_per_tensor_default_2183: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1602, 0.00043149059638381004, 21157, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1602 = None 2025-06-05T23:26:40.8664505Z aten_convolution_default_68: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_2183, quantized_decomposed_dequantize_per_tensor_default_89, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_2183 = quantized_decomposed_dequantize_per_tensor_default_89 = None 2025-06-05T23:26:40.8665452Z quantized_decomposed_quantize_per_tensor_default_1603: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_68, 0.00024529712391085923, 28114, 0, 65535, torch.int32); aten_convolution_default_68 = None 2025-06-05T23:26:40.8665541Z 2025-06-05T23:26:40.8665961Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.8667150Z quantized_decomposed_dequantize_per_tensor_default_2184: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1603, 0.00024529712391085923, 28114, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1603 = None 2025-06-05T23:26:40.8667997Z aten_permute_copy_default_407: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2184, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2184 = None 2025-06-05T23:26:40.8668956Z quantized_decomposed_quantize_per_tensor_default_1604: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_407, 0.00024529712391085923, 28114, 0, 65535, torch.int32); aten_permute_copy_default_407 = None 2025-06-05T23:26:40.8669050Z 2025-06-05T23:26:40.8669590Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.8670769Z quantized_decomposed_dequantize_per_tensor_default_2185: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1604, 0.00024529712391085923, 28114, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1604 = None 2025-06-05T23:26:40.8671617Z aten_squeeze_copy_dims_108: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_2185, [-1]); quantized_decomposed_dequantize_per_tensor_default_2185 = None 2025-06-05T23:26:40.8672584Z quantized_decomposed_quantize_per_tensor_default_1605: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_108, 0.00024529712391085923, 28114, 0, 65535, torch.int32); aten_squeeze_copy_dims_108 = None 2025-06-05T23:26:40.8672900Z 2025-06-05T23:26:40.8673475Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:37 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-06-05T23:26:40.8674661Z quantized_decomposed_dequantize_per_tensor_default_2186: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1605, 0.00024529712391085923, 28114, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1605 = None 2025-06-05T23:26:40.8675825Z aten_mul_tensor_149: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2181, quantized_decomposed_dequantize_per_tensor_default_2186); quantized_decomposed_dequantize_per_tensor_default_2181 = quantized_decomposed_dequantize_per_tensor_default_2186 = None 2025-06-05T23:26:40.8676777Z quantized_decomposed_quantize_per_tensor_default_1606: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_149, 0.0006203429074957967, 26598, 0, 65535, torch.int32); aten_mul_tensor_149 = None 2025-06-05T23:26:40.8676854Z 2025-06-05T23:26:40.8677388Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.8678570Z quantized_decomposed_dequantize_per_tensor_default_2187: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1606, 0.0006203429074957967, 26598, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1606 = None 2025-06-05T23:26:40.8679394Z aten_unsqueeze_copy_default_109: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2187, -1); quantized_decomposed_dequantize_per_tensor_default_2187 = None 2025-06-05T23:26:40.8680417Z quantized_decomposed_quantize_per_tensor_default_1607: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_109, 0.0006203429074957967, 26598, 0, 65535, torch.int32); aten_unsqueeze_copy_default_109 = None 2025-06-05T23:26:40.8680498Z 2025-06-05T23:26:40.8680916Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.8682091Z quantized_decomposed_dequantize_per_tensor_default_2188: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1607, 0.0006203429074957967, 26598, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1607 = None 2025-06-05T23:26:40.8682903Z aten_permute_copy_default_408: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2188, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2188 = None 2025-06-05T23:26:40.8683879Z quantized_decomposed_quantize_per_tensor_default_1608: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_408, 0.0006203429074957967, 26598, 0, 65535, torch.int32); aten_permute_copy_default_408 = None 2025-06-05T23:26:40.8683956Z 2025-06-05T23:26:40.8684318Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.8685558Z quantized_decomposed_dequantize_per_tensor_default_2189: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1608, 0.0006203429074957967, 26598, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1608 = None 2025-06-05T23:26:40.8686884Z aten_convolution_default_69: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_2189, quantized_decomposed_dequantize_per_tensor_default_90, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_2189 = quantized_decomposed_dequantize_per_tensor_default_90 = None 2025-06-05T23:26:40.8687840Z quantized_decomposed_quantize_per_tensor_default_1609: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_69, 0.0003197697224095464, 32722, 0, 65535, torch.int32); aten_convolution_default_69 = None 2025-06-05T23:26:40.8687946Z 2025-06-05T23:26:40.8688367Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.8689548Z quantized_decomposed_dequantize_per_tensor_default_2190: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1609, 0.0003197697224095464, 32722, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1609 = None 2025-06-05T23:26:40.8690352Z aten_permute_copy_default_409: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2190, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2190 = None 2025-06-05T23:26:40.8691316Z quantized_decomposed_quantize_per_tensor_default_1610: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_409, 0.0003197697224095464, 32722, 0, 65535, torch.int32); aten_permute_copy_default_409 = None 2025-06-05T23:26:40.8691398Z 2025-06-05T23:26:40.8691936Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.8693149Z quantized_decomposed_dequantize_per_tensor_default_2191: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1610, 0.0003197697224095464, 32722, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1610 = None 2025-06-05T23:26:40.8693915Z aten_squeeze_copy_dims_109: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_2191, [-1]); quantized_decomposed_dequantize_per_tensor_default_2191 = None 2025-06-05T23:26:40.8694843Z quantized_decomposed_quantize_per_tensor_default_1611: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_109, 0.0003197697224095464, 32722, 0, 65535, torch.int32); aten_squeeze_copy_dims_109 = None 2025-06-05T23:26:40.8694932Z 2025-06-05T23:26:40.8695441Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:136 in forward, code: out = h + self.feed_forward(self.ffn_norm(h)) 2025-06-05T23:26:40.8696610Z quantized_decomposed_dequantize_per_tensor_default_2192: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1611, 0.0003197697224095464, 32722, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1611 = None 2025-06-05T23:26:40.8697800Z aten_add_tensor_49: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_2170, quantized_decomposed_dequantize_per_tensor_default_2192); quantized_decomposed_dequantize_per_tensor_default_2170 = quantized_decomposed_dequantize_per_tensor_default_2192 = None 2025-06-05T23:26:40.8698683Z quantized_decomposed_quantize_per_tensor_default_1612: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_49, 0.002727663842961192, 9020, 0, 65535, torch.int32); aten_add_tensor_49 = None 2025-06-05T23:26:40.8698771Z 2025-06-05T23:26:40.8699138Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:132 in forward, code: h = x + h 2025-06-05T23:26:40.8700068Z quantized_decomposed_dequantize_per_tensor_default_2193: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1612, 0.002727663842961192, 9020, 0, 65535, torch.int32) 2025-06-05T23:26:40.8700184Z 2025-06-05T23:26:40.8700746Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:129 in forward, code: self.attention_norm(x), freqs_cos, freqs_sin, **attn_options 2025-06-05T23:26:40.8701900Z quantized_decomposed_dequantize_per_tensor_default_2194: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1612, 0.002727663842961192, 9020, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1612 = None 2025-06-05T23:26:40.8702495Z aten_pow_tensor_scalar_20: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(quantized_decomposed_dequantize_per_tensor_default_2194, 2) 2025-06-05T23:26:40.8703018Z aten_mean_dim_20: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_mean_dim(aten_pow_tensor_scalar_20, [2], True); aten_pow_tensor_scalar_20 = None 2025-06-05T23:26:40.8703467Z aten_add_scalar_20: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_add_Scalar(aten_mean_dim_20, 9.999999747378752e-06); aten_mean_dim_20 = None 2025-06-05T23:26:40.8703901Z aten_rsqrt_default_20: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_rsqrt_default(aten_add_scalar_20); aten_add_scalar_20 = None 2025-06-05T23:26:40.8704816Z aten_mul_tensor_150: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2194, aten_rsqrt_default_20); quantized_decomposed_dequantize_per_tensor_default_2194 = aten_rsqrt_default_20 = None 2025-06-05T23:26:40.8705659Z aten_mul_tensor_151: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_150, quantized_decomposed_dequantize_per_tensor_default_91); aten_mul_tensor_150 = quantized_decomposed_dequantize_per_tensor_default_91 = None 2025-06-05T23:26:40.8706529Z quantized_decomposed_quantize_per_tensor_default_1613: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_151, 0.000514648447278887, 33371, 0, 65535, torch.int32); aten_mul_tensor_151 = None 2025-06-05T23:26:40.8706607Z 2025-06-05T23:26:40.8707148Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.8708082Z quantized_decomposed_dequantize_per_tensor_default_2195: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1613, 0.000514648447278887, 33371, 0, 65535, torch.int32) 2025-06-05T23:26:40.8709027Z quantized_decomposed_dequantize_per_tensor_default_2196: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1613, 0.000514648447278887, 33371, 0, 65535, torch.int32) 2025-06-05T23:26:40.8710221Z quantized_decomposed_dequantize_per_tensor_default_2197: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1613, 0.000514648447278887, 33371, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1613 = None 2025-06-05T23:26:40.8711112Z aten_unsqueeze_copy_default_110: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2197, -1); quantized_decomposed_dequantize_per_tensor_default_2197 = None 2025-06-05T23:26:40.8712100Z quantized_decomposed_quantize_per_tensor_default_1614: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_110, 0.000514648447278887, 33371, 0, 65535, torch.int32); aten_unsqueeze_copy_default_110 = None 2025-06-05T23:26:40.8712210Z 2025-06-05T23:26:40.8712616Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.8713799Z quantized_decomposed_dequantize_per_tensor_default_2198: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1614, 0.000514648447278887, 33371, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1614 = None 2025-06-05T23:26:40.8714600Z aten_permute_copy_default_410: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2198, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2198 = None 2025-06-05T23:26:40.8715559Z quantized_decomposed_quantize_per_tensor_default_1615: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_410, 0.000514648447278887, 33371, 0, 65535, torch.int32); aten_permute_copy_default_410 = None 2025-06-05T23:26:40.8715637Z 2025-06-05T23:26:40.8715996Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.8717204Z quantized_decomposed_dequantize_per_tensor_default_2199: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1615, 0.000514648447278887, 33371, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1615 = None 2025-06-05T23:26:40.8718501Z aten_convolution_default_70: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_2199, quantized_decomposed_dequantize_per_tensor_default_92, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_2199 = quantized_decomposed_dequantize_per_tensor_default_92 = None 2025-06-05T23:26:40.8719450Z quantized_decomposed_quantize_per_tensor_default_1616: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_70, 0.000400586926843971, 33468, 0, 65535, torch.int32); aten_convolution_default_70 = None 2025-06-05T23:26:40.8719528Z 2025-06-05T23:26:40.8719948Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.8721121Z quantized_decomposed_dequantize_per_tensor_default_2200: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1616, 0.000400586926843971, 33468, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1616 = None 2025-06-05T23:26:40.8721978Z aten_permute_copy_default_411: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2200, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2200 = None 2025-06-05T23:26:40.8722932Z quantized_decomposed_quantize_per_tensor_default_1617: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_411, 0.000400586926843971, 33468, 0, 65535, torch.int32); aten_permute_copy_default_411 = None 2025-06-05T23:26:40.8723021Z 2025-06-05T23:26:40.8723555Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.8724751Z quantized_decomposed_dequantize_per_tensor_default_2201: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1617, 0.000400586926843971, 33468, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1617 = None 2025-06-05T23:26:40.8725536Z aten_squeeze_copy_dims_110: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_2201, [-1]); quantized_decomposed_dequantize_per_tensor_default_2201 = None 2025-06-05T23:26:40.8726459Z quantized_decomposed_quantize_per_tensor_default_1618: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_110, 0.000400586926843971, 33468, 0, 65535, torch.int32); aten_squeeze_copy_dims_110 = None 2025-06-05T23:26:40.8726547Z 2025-06-05T23:26:40.8727066Z # File: /pytorch/executorch/examples/models/llama/attention.py:405 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim) 2025-06-05T23:26:40.8728240Z quantized_decomposed_dequantize_per_tensor_default_2202: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1618, 0.000400586926843971, 33468, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1618 = None 2025-06-05T23:26:40.8728327Z 2025-06-05T23:26:40.8728864Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.8729694Z aten_unsqueeze_copy_default_111: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2196, -1); quantized_decomposed_dequantize_per_tensor_default_2196 = None 2025-06-05T23:26:40.8730666Z quantized_decomposed_quantize_per_tensor_default_1619: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_111, 0.000514648447278887, 33371, 0, 65535, torch.int32); aten_unsqueeze_copy_default_111 = None 2025-06-05T23:26:40.8730745Z 2025-06-05T23:26:40.8731146Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.8732331Z quantized_decomposed_dequantize_per_tensor_default_2203: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1619, 0.000514648447278887, 33371, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1619 = None 2025-06-05T23:26:40.8733174Z aten_permute_copy_default_412: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2203, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2203 = None 2025-06-05T23:26:40.8734157Z quantized_decomposed_quantize_per_tensor_default_1620: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_412, 0.000514648447278887, 33371, 0, 65535, torch.int32); aten_permute_copy_default_412 = None 2025-06-05T23:26:40.8734234Z 2025-06-05T23:26:40.8734596Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.8735779Z quantized_decomposed_dequantize_per_tensor_default_2204: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1620, 0.000514648447278887, 33371, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1620 = None 2025-06-05T23:26:40.8737111Z aten_convolution_default_71: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_2204, quantized_decomposed_dequantize_per_tensor_default_93, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_2204 = quantized_decomposed_dequantize_per_tensor_default_93 = None 2025-06-05T23:26:40.8738075Z quantized_decomposed_quantize_per_tensor_default_1621: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_71, 0.0004142843827139586, 29754, 0, 65535, torch.int32); aten_convolution_default_71 = None 2025-06-05T23:26:40.8738151Z 2025-06-05T23:26:40.8738567Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.8739750Z quantized_decomposed_dequantize_per_tensor_default_2205: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1621, 0.0004142843827139586, 29754, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1621 = None 2025-06-05T23:26:40.8740579Z aten_permute_copy_default_413: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2205, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2205 = None 2025-06-05T23:26:40.8741529Z quantized_decomposed_quantize_per_tensor_default_1622: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_413, 0.0004142843827139586, 29754, 0, 65535, torch.int32); aten_permute_copy_default_413 = None 2025-06-05T23:26:40.8741622Z 2025-06-05T23:26:40.8742161Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.8743330Z quantized_decomposed_dequantize_per_tensor_default_2206: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1622, 0.0004142843827139586, 29754, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1622 = None 2025-06-05T23:26:40.8744109Z aten_squeeze_copy_dims_111: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_2206, [-1]); quantized_decomposed_dequantize_per_tensor_default_2206 = None 2025-06-05T23:26:40.8745030Z quantized_decomposed_quantize_per_tensor_default_1623: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_111, 0.0004142843827139586, 29754, 0, 65535, torch.int32); aten_squeeze_copy_dims_111 = None 2025-06-05T23:26:40.8745156Z 2025-06-05T23:26:40.8745704Z # File: /pytorch/executorch/examples/models/llama/attention.py:406 in forward, code: k = k.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim) 2025-06-05T23:26:40.8746881Z quantized_decomposed_dequantize_per_tensor_default_2207: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1623, 0.0004142843827139586, 29754, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1623 = None 2025-06-05T23:26:40.8746970Z 2025-06-05T23:26:40.8747488Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.8748340Z aten_unsqueeze_copy_default_112: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2195, -1); quantized_decomposed_dequantize_per_tensor_default_2195 = None 2025-06-05T23:26:40.8749318Z quantized_decomposed_quantize_per_tensor_default_1624: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_112, 0.000514648447278887, 33371, 0, 65535, torch.int32); aten_unsqueeze_copy_default_112 = None 2025-06-05T23:26:40.8749394Z 2025-06-05T23:26:40.8749800Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.8751058Z quantized_decomposed_dequantize_per_tensor_default_2208: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1624, 0.000514648447278887, 33371, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1624 = None 2025-06-05T23:26:40.8751881Z aten_permute_copy_default_414: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2208, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2208 = None 2025-06-05T23:26:40.8752873Z quantized_decomposed_quantize_per_tensor_default_1625: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_414, 0.000514648447278887, 33371, 0, 65535, torch.int32); aten_permute_copy_default_414 = None 2025-06-05T23:26:40.8752952Z 2025-06-05T23:26:40.8753315Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.8754507Z quantized_decomposed_dequantize_per_tensor_default_2209: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1625, 0.000514648447278887, 33371, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1625 = None 2025-06-05T23:26:40.8755830Z aten_convolution_default_72: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_2209, quantized_decomposed_dequantize_per_tensor_default_94, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_2209 = quantized_decomposed_dequantize_per_tensor_default_94 = None 2025-06-05T23:26:40.8756786Z quantized_decomposed_quantize_per_tensor_default_1626: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_72, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_convolution_default_72 = None 2025-06-05T23:26:40.8756866Z 2025-06-05T23:26:40.8757311Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.8758558Z quantized_decomposed_dequantize_per_tensor_default_2210: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1626, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1626 = None 2025-06-05T23:26:40.8759365Z aten_permute_copy_default_415: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2210, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2210 = None 2025-06-05T23:26:40.8760317Z quantized_decomposed_quantize_per_tensor_default_1627: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_415, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_permute_copy_default_415 = None 2025-06-05T23:26:40.8760437Z 2025-06-05T23:26:40.8760979Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.8762158Z quantized_decomposed_dequantize_per_tensor_default_2211: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1627, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1627 = None 2025-06-05T23:26:40.8762947Z aten_squeeze_copy_dims_112: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_2211, [-1]); quantized_decomposed_dequantize_per_tensor_default_2211 = None 2025-06-05T23:26:40.8763871Z quantized_decomposed_quantize_per_tensor_default_1628: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_112, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_squeeze_copy_dims_112 = None 2025-06-05T23:26:40.8763966Z 2025-06-05T23:26:40.8764499Z # File: /pytorch/executorch/examples/models/llama/attention.py:407 in forward, code: v = v.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim) 2025-06-05T23:26:40.8765701Z quantized_decomposed_dequantize_per_tensor_default_2212: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1628, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1628 = None 2025-06-05T23:26:40.8765793Z 2025-06-05T23:26:40.8766312Z # File: /pytorch/executorch/examples/models/llama/attention.py:405 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim) 2025-06-05T23:26:40.8767101Z aten_view_copy_default_180: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2202, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_2202 = None 2025-06-05T23:26:40.8768031Z quantized_decomposed_quantize_per_tensor_default_1629: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_180, 0.000400586926843971, 33468, 0, 65535, torch.int32); aten_view_copy_default_180 = None 2025-06-05T23:26:40.8768104Z 2025-06-05T23:26:40.8768631Z # File: /pytorch/executorch/examples/models/llama/rope.py:84 in apply_rotary_emb, code: xq_r, xq_i = xq.float().reshape(xq.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.8769843Z quantized_decomposed_dequantize_per_tensor_default_2213: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1629, 0.000400586926843971, 33468, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1629 = None 2025-06-05T23:26:40.8769942Z 2025-06-05T23:26:40.8770476Z # File: /pytorch/executorch/examples/models/llama/attention.py:406 in forward, code: k = k.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim) 2025-06-05T23:26:40.8771252Z aten_view_copy_default_181: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2207, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_2207 = None 2025-06-05T23:26:40.8772173Z quantized_decomposed_quantize_per_tensor_default_1630: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_181, 0.0004142843827139586, 29754, 0, 65535, torch.int32); aten_view_copy_default_181 = None 2025-06-05T23:26:40.8772291Z 2025-06-05T23:26:40.8773064Z # File: /pytorch/executorch/examples/models/llama/rope.py:85 in apply_rotary_emb, code: xk_r, xk_i = xk.float().reshape(xk.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.8774227Z quantized_decomposed_dequantize_per_tensor_default_2214: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1630, 0.0004142843827139586, 29754, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1630 = None 2025-06-05T23:26:40.8774318Z 2025-06-05T23:26:40.8774842Z # File: /pytorch/executorch/examples/models/llama/attention.py:407 in forward, code: v = v.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim) 2025-06-05T23:26:40.8775624Z aten_view_copy_default_182: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2212, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_2212 = None 2025-06-05T23:26:40.8776562Z quantized_decomposed_quantize_per_tensor_default_1631: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_182, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_view_copy_default_182 = None 2025-06-05T23:26:40.8776714Z 2025-06-05T23:26:40.8777391Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:511 in update, code: v_out = torch.ops.aten.index_put_(self.past_v_caches, [None, input_pos], v_val) 2025-06-05T23:26:40.8778581Z quantized_decomposed_dequantize_per_tensor_default_2215: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1631, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1631 = None 2025-06-05T23:26:40.8778658Z 2025-06-05T23:26:40.8779192Z # File: /pytorch/executorch/examples/models/llama/rope.py:84 in apply_rotary_emb, code: xq_r, xq_i = xq.float().reshape(xq.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.8779974Z aten_view_copy_default_183: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2213, [1, 1, 12, -1, 2]); quantized_decomposed_dequantize_per_tensor_default_2213 = None 2025-06-05T23:26:40.8780905Z quantized_decomposed_quantize_per_tensor_default_1632: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_183, 0.000400586926843971, 33468, 0, 65535, torch.int32); aten_view_copy_default_183 = None 2025-06-05T23:26:40.8782139Z quantized_decomposed_dequantize_per_tensor_default_2216: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1632, 0.000400586926843971, 33468, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1632 = None 2025-06-05T23:26:40.8782712Z aten_slice_copy_tensor_40: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_2216, 4, 0, 1) 2025-06-05T23:26:40.8783496Z aten_slice_copy_tensor_41: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_2216, 4, 1, 2); quantized_decomposed_dequantize_per_tensor_default_2216 = None 2025-06-05T23:26:40.8784020Z aten_squeeze_copy_dims_113: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_40, [4]); aten_slice_copy_tensor_40 = None 2025-06-05T23:26:40.8784580Z aten_squeeze_copy_dims_114: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_41, [4]); aten_slice_copy_tensor_41 = None 2025-06-05T23:26:40.8785507Z quantized_decomposed_quantize_per_tensor_default_1633: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_113, 0.000400586926843971, 33468, 0, 65535, torch.int32); aten_squeeze_copy_dims_113 = None 2025-06-05T23:26:40.8785583Z 2025-06-05T23:26:40.8786059Z # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos 2025-06-05T23:26:40.8786994Z quantized_decomposed_dequantize_per_tensor_default_2217: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1633, 0.000400586926843971, 33468, 0, 65535, torch.int32) 2025-06-05T23:26:40.8787075Z 2025-06-05T23:26:40.8787546Z # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin 2025-06-05T23:26:40.8788748Z quantized_decomposed_dequantize_per_tensor_default_2218: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1633, 0.000400586926843971, 33468, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1633 = None 2025-06-05T23:26:40.8788825Z 2025-06-05T23:26:40.8789344Z # File: /pytorch/executorch/examples/models/llama/rope.py:84 in apply_rotary_emb, code: xq_r, xq_i = xq.float().reshape(xq.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.8790276Z quantized_decomposed_quantize_per_tensor_default_1634: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_114, 0.000400586926843971, 33468, 0, 65535, torch.int32); aten_squeeze_copy_dims_114 = None 2025-06-05T23:26:40.8790353Z 2025-06-05T23:26:40.8790896Z # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin 2025-06-05T23:26:40.8791850Z quantized_decomposed_dequantize_per_tensor_default_2219: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1634, 0.000400586926843971, 33468, 0, 65535, torch.int32) 2025-06-05T23:26:40.8791928Z 2025-06-05T23:26:40.8792402Z # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos 2025-06-05T23:26:40.8793598Z quantized_decomposed_dequantize_per_tensor_default_2220: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1634, 0.000400586926843971, 33468, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1634 = None 2025-06-05T23:26:40.8793713Z 2025-06-05T23:26:40.8794248Z # File: /pytorch/executorch/examples/models/llama/rope.py:85 in apply_rotary_emb, code: xk_r, xk_i = xk.float().reshape(xk.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.8795034Z aten_view_copy_default_184: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2214, [1, 1, 12, -1, 2]); quantized_decomposed_dequantize_per_tensor_default_2214 = None 2025-06-05T23:26:40.8795965Z quantized_decomposed_quantize_per_tensor_default_1635: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_184, 0.0004142843827139586, 29754, 0, 65535, torch.int32); aten_view_copy_default_184 = None 2025-06-05T23:26:40.8797173Z quantized_decomposed_dequantize_per_tensor_default_2221: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1635, 0.0004142843827139586, 29754, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1635 = None 2025-06-05T23:26:40.8797710Z aten_slice_copy_tensor_42: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_2221, 4, 0, 1) 2025-06-05T23:26:40.8798484Z aten_slice_copy_tensor_43: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_2221, 4, 1, 2); quantized_decomposed_dequantize_per_tensor_default_2221 = None 2025-06-05T23:26:40.8799009Z aten_squeeze_copy_dims_115: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_42, [4]); aten_slice_copy_tensor_42 = None 2025-06-05T23:26:40.8799525Z aten_squeeze_copy_dims_116: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_43, [4]); aten_slice_copy_tensor_43 = None 2025-06-05T23:26:40.8800479Z quantized_decomposed_quantize_per_tensor_default_1636: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_115, 0.0004142843827139586, 29754, 0, 65535, torch.int32); aten_squeeze_copy_dims_115 = None 2025-06-05T23:26:40.8800557Z 2025-06-05T23:26:40.8801029Z # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos 2025-06-05T23:26:40.8801975Z quantized_decomposed_dequantize_per_tensor_default_2222: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1636, 0.0004142843827139586, 29754, 0, 65535, torch.int32) 2025-06-05T23:26:40.8802051Z 2025-06-05T23:26:40.8802520Z # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin 2025-06-05T23:26:40.8803706Z quantized_decomposed_dequantize_per_tensor_default_2223: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1636, 0.0004142843827139586, 29754, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1636 = None 2025-06-05T23:26:40.8803783Z 2025-06-05T23:26:40.8804301Z # File: /pytorch/executorch/examples/models/llama/rope.py:85 in apply_rotary_emb, code: xk_r, xk_i = xk.float().reshape(xk.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.8805277Z quantized_decomposed_quantize_per_tensor_default_1637: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_116, 0.0004142843827139586, 29754, 0, 65535, torch.int32); aten_squeeze_copy_dims_116 = None 2025-06-05T23:26:40.8805353Z 2025-06-05T23:26:40.8805822Z # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin 2025-06-05T23:26:40.8806760Z quantized_decomposed_dequantize_per_tensor_default_2224: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1637, 0.0004142843827139586, 29754, 0, 65535, torch.int32) 2025-06-05T23:26:40.8806862Z 2025-06-05T23:26:40.8807343Z # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos 2025-06-05T23:26:40.8808522Z quantized_decomposed_dequantize_per_tensor_default_2225: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1637, 0.0004142843827139586, 29754, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1637 = None 2025-06-05T23:26:40.8808598Z 2025-06-05T23:26:40.8809048Z # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape) 2025-06-05T23:26:40.8809818Z aten_view_copy_default_185: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_152, [1, 1, 1, 32]); quantized_decomposed_dequantize_per_tensor_default_152 = None 2025-06-05T23:26:40.8810737Z quantized_decomposed_quantize_per_tensor_default_1638: "i32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_185, 3.051804378628731e-05, 32768, 0, 65535, torch.int32); aten_view_copy_default_185 = None 2025-06-05T23:26:40.8810827Z 2025-06-05T23:26:40.8811295Z # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos 2025-06-05T23:26:40.8812258Z quantized_decomposed_dequantize_per_tensor_default_2226: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1638, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-06-05T23:26:40.8812347Z 2025-06-05T23:26:40.8812814Z # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin 2025-06-05T23:26:40.8813753Z quantized_decomposed_dequantize_per_tensor_default_2227: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1638, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-06-05T23:26:40.8813841Z 2025-06-05T23:26:40.8814303Z # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos 2025-06-05T23:26:40.8815233Z quantized_decomposed_dequantize_per_tensor_default_2228: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1638, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-06-05T23:26:40.8815323Z 2025-06-05T23:26:40.8815791Z # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin 2025-06-05T23:26:40.8816993Z quantized_decomposed_dequantize_per_tensor_default_2229: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1638, 3.051804378628731e-05, 32768, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1638 = None 2025-06-05T23:26:40.8817080Z 2025-06-05T23:26:40.8817512Z # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape) 2025-06-05T23:26:40.8818289Z aten_view_copy_default_186: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_164, [1, 1, 1, 32]); quantized_decomposed_dequantize_per_tensor_default_164 = None 2025-06-05T23:26:40.8819235Z quantized_decomposed_quantize_per_tensor_default_1639: "i32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_186, 3.051786916330457e-05, 32767, 0, 65535, torch.int32); aten_view_copy_default_186 = None 2025-06-05T23:26:40.8819311Z 2025-06-05T23:26:40.8819792Z # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin 2025-06-05T23:26:40.8820713Z quantized_decomposed_dequantize_per_tensor_default_2230: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1639, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-06-05T23:26:40.8820788Z 2025-06-05T23:26:40.8821265Z # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos 2025-06-05T23:26:40.8822192Z quantized_decomposed_dequantize_per_tensor_default_2231: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1639, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-06-05T23:26:40.8822269Z 2025-06-05T23:26:40.8822746Z # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin 2025-06-05T23:26:40.8823700Z quantized_decomposed_dequantize_per_tensor_default_2232: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1639, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-06-05T23:26:40.8823773Z 2025-06-05T23:26:40.8824250Z # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos 2025-06-05T23:26:40.8825411Z quantized_decomposed_dequantize_per_tensor_default_2233: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1639, 3.051786916330457e-05, 32767, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1639 = None 2025-06-05T23:26:40.8825488Z 2025-06-05T23:26:40.8825965Z # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin 2025-06-05T23:26:40.8827123Z aten_mul_tensor_152: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2218, quantized_decomposed_dequantize_per_tensor_default_2229); quantized_decomposed_dequantize_per_tensor_default_2218 = quantized_decomposed_dequantize_per_tensor_default_2229 = None 2025-06-05T23:26:40.8828038Z quantized_decomposed_quantize_per_tensor_default_1640: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_152, 0.0003691529855132103, 36256, 0, 65535, torch.int32); aten_mul_tensor_152 = None 2025-06-05T23:26:40.8829231Z quantized_decomposed_dequantize_per_tensor_default_2234: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1640, 0.0003691529855132103, 36256, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1640 = None 2025-06-05T23:26:40.8830379Z aten_mul_tensor_153: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2219, quantized_decomposed_dequantize_per_tensor_default_2232); quantized_decomposed_dequantize_per_tensor_default_2219 = quantized_decomposed_dequantize_per_tensor_default_2232 = None 2025-06-05T23:26:40.8831371Z quantized_decomposed_quantize_per_tensor_default_1641: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_153, 0.00017168192425742745, 31044, 0, 65535, torch.int32); aten_mul_tensor_153 = None 2025-06-05T23:26:40.8832553Z quantized_decomposed_dequantize_per_tensor_default_2235: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1641, 0.00017168192425742745, 31044, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1641 = None 2025-06-05T23:26:40.8833710Z aten_sub_tensor_20: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(quantized_decomposed_dequantize_per_tensor_default_2234, quantized_decomposed_dequantize_per_tensor_default_2235); quantized_decomposed_dequantize_per_tensor_default_2234 = quantized_decomposed_dequantize_per_tensor_default_2235 = None 2025-06-05T23:26:40.8834582Z quantized_decomposed_quantize_per_tensor_default_1642: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sub_tensor_20, 0.00039642397314310074, 33716, 0, 65535, torch.int32); aten_sub_tensor_20 = None 2025-06-05T23:26:40.8834659Z 2025-06-05T23:26:40.8835666Z # File: .74:5735 in forward, code: dequantize_per_tensor_default_1801 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1801, 0.00039642397314310074, 33716, 0, 65535, torch.int32); quantize_per_tensor_default_1801 = None 2025-06-05T23:26:40.8836839Z quantized_decomposed_dequantize_per_tensor_default_2236: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1642, 0.00039642397314310074, 33716, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1642 = None 2025-06-05T23:26:40.8836929Z 2025-06-05T23:26:40.8837406Z # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos 2025-06-05T23:26:40.8838559Z aten_mul_tensor_154: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2217, quantized_decomposed_dequantize_per_tensor_default_2233); quantized_decomposed_dequantize_per_tensor_default_2217 = quantized_decomposed_dequantize_per_tensor_default_2233 = None 2025-06-05T23:26:40.8839454Z quantized_decomposed_quantize_per_tensor_default_1643: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_154, 0.00014334538718685508, 33099, 0, 65535, torch.int32); aten_mul_tensor_154 = None 2025-06-05T23:26:40.8840668Z quantized_decomposed_dequantize_per_tensor_default_2237: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1643, 0.00014334538718685508, 33099, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1643 = None 2025-06-05T23:26:40.8841854Z aten_mul_tensor_155: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2220, quantized_decomposed_dequantize_per_tensor_default_2228); quantized_decomposed_dequantize_per_tensor_default_2220 = quantized_decomposed_dequantize_per_tensor_default_2228 = None 2025-06-05T23:26:40.8842735Z quantized_decomposed_quantize_per_tensor_default_1644: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_155, 0.00034285150468349457, 28223, 0, 65535, torch.int32); aten_mul_tensor_155 = None 2025-06-05T23:26:40.8843929Z quantized_decomposed_dequantize_per_tensor_default_2238: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1644, 0.00034285150468349457, 28223, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1644 = None 2025-06-05T23:26:40.8845097Z aten_add_tensor_50: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_2237, quantized_decomposed_dequantize_per_tensor_default_2238); quantized_decomposed_dequantize_per_tensor_default_2237 = quantized_decomposed_dequantize_per_tensor_default_2238 = None 2025-06-05T23:26:40.8845968Z quantized_decomposed_quantize_per_tensor_default_1645: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_50, 0.00039642397314310074, 33716, 0, 65535, torch.int32); aten_add_tensor_50 = None 2025-06-05T23:26:40.8846056Z 2025-06-05T23:26:40.8847016Z # File: .74:5744 in forward, code: dequantize_per_tensor_default_1804 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1804, 0.00039642397314310074, 33716, 0, 65535, torch.int32); quantize_per_tensor_default_1804 = None 2025-06-05T23:26:40.8848219Z quantized_decomposed_dequantize_per_tensor_default_2239: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1645, 0.00039642397314310074, 33716, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1645 = None 2025-06-05T23:26:40.8848308Z 2025-06-05T23:26:40.8848782Z # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin 2025-06-05T23:26:40.8849938Z aten_mul_tensor_156: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2223, quantized_decomposed_dequantize_per_tensor_default_2227); quantized_decomposed_dequantize_per_tensor_default_2223 = quantized_decomposed_dequantize_per_tensor_default_2227 = None 2025-06-05T23:26:40.8850828Z quantized_decomposed_quantize_per_tensor_default_1646: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_156, 0.0003857550327666104, 28901, 0, 65535, torch.int32); aten_mul_tensor_156 = None 2025-06-05T23:26:40.8851990Z quantized_decomposed_dequantize_per_tensor_default_2240: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1646, 0.0003857550327666104, 28901, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1646 = None 2025-06-05T23:26:40.8853184Z aten_mul_tensor_157: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2224, quantized_decomposed_dequantize_per_tensor_default_2230); quantized_decomposed_dequantize_per_tensor_default_2224 = quantized_decomposed_dequantize_per_tensor_default_2230 = None 2025-06-05T23:26:40.8854079Z quantized_decomposed_quantize_per_tensor_default_1647: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_157, 0.00017581522115506232, 32153, 0, 65535, torch.int32); aten_mul_tensor_157 = None 2025-06-05T23:26:40.8855256Z quantized_decomposed_dequantize_per_tensor_default_2241: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1647, 0.00017581522115506232, 32153, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1647 = None 2025-06-05T23:26:40.8856425Z aten_sub_tensor_21: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(quantized_decomposed_dequantize_per_tensor_default_2240, quantized_decomposed_dequantize_per_tensor_default_2241); quantized_decomposed_dequantize_per_tensor_default_2240 = quantized_decomposed_dequantize_per_tensor_default_2241 = None 2025-06-05T23:26:40.8857297Z quantized_decomposed_quantize_per_tensor_default_1648: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sub_tensor_21, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_sub_tensor_21 = None 2025-06-05T23:26:40.8857392Z 2025-06-05T23:26:40.8858342Z # File: .74:5753 in forward, code: dequantize_per_tensor_default_1807 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1807, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantize_per_tensor_default_1807 = None 2025-06-05T23:26:40.8859535Z quantized_decomposed_dequantize_per_tensor_default_2242: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1648, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1648 = None 2025-06-05T23:26:40.8859614Z 2025-06-05T23:26:40.8860086Z # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos 2025-06-05T23:26:40.8861273Z aten_mul_tensor_158: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2222, quantized_decomposed_dequantize_per_tensor_default_2231); quantized_decomposed_dequantize_per_tensor_default_2222 = quantized_decomposed_dequantize_per_tensor_default_2231 = None 2025-06-05T23:26:40.8862152Z quantized_decomposed_quantize_per_tensor_default_1649: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_158, 0.00016251628403551877, 33632, 0, 65535, torch.int32); aten_mul_tensor_158 = None 2025-06-05T23:26:40.8863315Z quantized_decomposed_dequantize_per_tensor_default_2243: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1649, 0.00016251628403551877, 33632, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1649 = None 2025-06-05T23:26:40.8864564Z aten_mul_tensor_159: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2225, quantized_decomposed_dequantize_per_tensor_default_2226); quantized_decomposed_dequantize_per_tensor_default_2225 = quantized_decomposed_dequantize_per_tensor_default_2226 = None 2025-06-05T23:26:40.8865534Z quantized_decomposed_quantize_per_tensor_default_1650: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_159, 0.0003872132219839841, 31182, 0, 65535, torch.int32); aten_mul_tensor_159 = None 2025-06-05T23:26:40.8866750Z quantized_decomposed_dequantize_per_tensor_default_2244: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1650, 0.0003872132219839841, 31182, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1650 = None 2025-06-05T23:26:40.8867894Z aten_add_tensor_51: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_2243, quantized_decomposed_dequantize_per_tensor_default_2244); quantized_decomposed_dequantize_per_tensor_default_2243 = quantized_decomposed_dequantize_per_tensor_default_2244 = None 2025-06-05T23:26:40.8868797Z quantized_decomposed_quantize_per_tensor_default_1651: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_51, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_add_tensor_51 = None 2025-06-05T23:26:40.8868877Z 2025-06-05T23:26:40.8869831Z # File: .74:5762 in forward, code: dequantize_per_tensor_default_1810 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1810, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantize_per_tensor_default_1810 = None 2025-06-05T23:26:40.8871085Z quantized_decomposed_dequantize_per_tensor_default_2245: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1651, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1651 = None 2025-06-05T23:26:40.8871165Z 2025-06-05T23:26:40.8871692Z # File: /pytorch/executorch/examples/models/llama/rope.py:95 in apply_rotary_emb, code: xq_out = torch.stack([xq_out_r, xq_out_i], dim=-1).flatten(3) 2025-06-05T23:26:40.8872518Z aten_unsqueeze_copy_default_113: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2236, 4); quantized_decomposed_dequantize_per_tensor_default_2236 = None 2025-06-05T23:26:40.8873608Z aten_unsqueeze_copy_default_114: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2239, 4); quantized_decomposed_dequantize_per_tensor_default_2239 = None 2025-06-05T23:26:40.8874386Z aten_cat_default_40: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_unsqueeze_copy_default_113, aten_unsqueeze_copy_default_114], -1); aten_unsqueeze_copy_default_113 = aten_unsqueeze_copy_default_114 = None 2025-06-05T23:26:40.8875283Z quantized_decomposed_quantize_per_tensor_default_1652: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_40, 0.00039642397314310074, 33716, 0, 65535, torch.int32); aten_cat_default_40 = None 2025-06-05T23:26:40.8876456Z quantized_decomposed_dequantize_per_tensor_default_2246: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1652, 0.00039642397314310074, 33716, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1652 = None 2025-06-05T23:26:40.8877249Z aten_view_copy_default_187: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2246, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_2246 = None 2025-06-05T23:26:40.8878214Z quantized_decomposed_quantize_per_tensor_default_1653: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_187, 0.00039642397314310074, 33716, 0, 65535, torch.int32); aten_view_copy_default_187 = None 2025-06-05T23:26:40.8878336Z 2025-06-05T23:26:40.8879299Z # File: .74:5768 in forward, code: dequantize_per_tensor_default_1812 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1812, 0.00039642397314310074, 33716, 0, 65535, torch.int32); quantize_per_tensor_default_1812 = None 2025-06-05T23:26:40.8880480Z quantized_decomposed_dequantize_per_tensor_default_2247: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1653, 0.00039642397314310074, 33716, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1653 = None 2025-06-05T23:26:40.8880610Z 2025-06-05T23:26:40.8881137Z # File: /pytorch/executorch/examples/models/llama/rope.py:96 in apply_rotary_emb, code: xk_out = torch.stack([xk_out_r, xk_out_i], dim=-1).flatten(3) 2025-06-05T23:26:40.8881948Z aten_unsqueeze_copy_default_115: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2242, 4); quantized_decomposed_dequantize_per_tensor_default_2242 = None 2025-06-05T23:26:40.8882773Z aten_unsqueeze_copy_default_116: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2245, 4); quantized_decomposed_dequantize_per_tensor_default_2245 = None 2025-06-05T23:26:40.8883527Z aten_cat_default_41: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_unsqueeze_copy_default_115, aten_unsqueeze_copy_default_116], -1); aten_unsqueeze_copy_default_115 = aten_unsqueeze_copy_default_116 = None 2025-06-05T23:26:40.8884421Z quantized_decomposed_quantize_per_tensor_default_1654: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_41, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_cat_default_41 = None 2025-06-05T23:26:40.8885642Z quantized_decomposed_dequantize_per_tensor_default_2248: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1654, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1654 = None 2025-06-05T23:26:40.8886421Z aten_view_copy_default_188: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2248, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_2248 = None 2025-06-05T23:26:40.8887367Z quantized_decomposed_quantize_per_tensor_default_1655: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_188, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_view_copy_default_188 = None 2025-06-05T23:26:40.8887445Z 2025-06-05T23:26:40.8888416Z # File: .74:5774 in forward, code: dequantize_per_tensor_default_1814 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1814, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantize_per_tensor_default_1814 = None 2025-06-05T23:26:40.8889592Z quantized_decomposed_dequantize_per_tensor_default_2249: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1655, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1655 = None 2025-06-05T23:26:40.8889720Z 2025-06-05T23:26:40.8890503Z # File: .74:5776 in forward, code: quantize_per_tensor_default_1815 = torch.ops.quantized_decomposed.quantize_per_tensor.default(type_as_20, 0.00039642397314310074, 33716, 0, 65535, torch.int32); type_as_20 = None 2025-06-05T23:26:40.8891679Z quantized_decomposed_quantize_per_tensor_default_1656: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_2247, 0.00039642397314310074, 33716, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_2247 = None 2025-06-05T23:26:40.8891757Z 2025-06-05T23:26:40.8892302Z # File: /pytorch/executorch/examples/models/llama/attention.py:416 in forward, code: q = q.transpose(1, 2) # (bs, n_local_heads, seqlen, head_dim) 2025-06-05T23:26:40.8893500Z quantized_decomposed_dequantize_per_tensor_default_2250: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1656, 0.00039642397314310074, 33716, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1656 = None 2025-06-05T23:26:40.8893593Z 2025-06-05T23:26:40.8894354Z # File: .74:5779 in forward, code: quantize_per_tensor_default_1816 = torch.ops.quantized_decomposed.quantize_per_tensor.default(type_as_21, 0.00039381824899464846, 31308, 0, 65535, torch.int32); type_as_21 = None 2025-06-05T23:26:40.8895519Z quantized_decomposed_quantize_per_tensor_default_1657: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_2249, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_2249 = None 2025-06-05T23:26:40.8895614Z 2025-06-05T23:26:40.8896288Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:510 in update, code: k_out = torch.ops.aten.index_put_(self.past_k_caches, [None, input_pos], k_val) 2025-06-05T23:26:40.8897486Z quantized_decomposed_dequantize_per_tensor_default_2251: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1657, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1657 = None 2025-06-05T23:26:40.8897578Z 2025-06-05T23:26:40.8898104Z # File: /pytorch/executorch/examples/models/llama/attention.py:416 in forward, code: q = q.transpose(1, 2) # (bs, n_local_heads, seqlen, head_dim) 2025-06-05T23:26:40.8898912Z aten_permute_copy_default_416: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2250, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2250 = None 2025-06-05T23:26:40.8899875Z quantized_decomposed_quantize_per_tensor_default_1658: "i32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_416, 0.00039642397314310074, 33716, 0, 65535, torch.int32); aten_permute_copy_default_416 = None 2025-06-05T23:26:40.8899951Z 2025-06-05T23:26:40.8900530Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:324 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-06-05T23:26:40.8901714Z quantized_decomposed_dequantize_per_tensor_default_2252: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1658, 0.00039642397314310074, 33716, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1658 = None 2025-06-05T23:26:40.8901840Z 2025-06-05T23:26:40.8902287Z # File: /pytorch/executorch/examples/models/llama/attention.py:435 in forward, code: attn_mask = self.mask[input_pos] 2025-06-05T23:26:40.8903092Z aten_index_tensor_12: "f32[1, 128]" = executorch_exir_dialects_edge__ops_aten_index_Tensor(quantized_decomposed_dequantize_per_tensor_default_143, [attn_options_input_pos]); quantized_decomposed_dequantize_per_tensor_default_143 = None 2025-06-05T23:26:40.8903966Z quantized_decomposed_quantize_per_tensor_default_1659: "i32[1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_tensor_12, 0.0038910505827516317, 65535, 0, 65535, torch.int32); aten_index_tensor_12 = None 2025-06-05T23:26:40.8904053Z 2025-06-05T23:26:40.8904558Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:325 in forward, code: attn_weight += attn_mask 2025-06-05T23:26:40.8905730Z quantized_decomposed_dequantize_per_tensor_default_2253: "f32[1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1659, 0.0038910505827516317, 65535, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1659 = None 2025-06-05T23:26:40.8905816Z 2025-06-05T23:26:40.8906489Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:510 in update, code: k_out = torch.ops.aten.index_put_(self.past_k_caches, [None, input_pos], k_val) 2025-06-05T23:26:40.8907807Z aten_index_put_default_20: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(quantized_decomposed_dequantize_per_tensor_default_144, [None, attn_options_input_pos], quantized_decomposed_dequantize_per_tensor_default_2251); quantized_decomposed_dequantize_per_tensor_default_144 = quantized_decomposed_dequantize_per_tensor_default_2251 = None 2025-06-05T23:26:40.8908747Z quantized_decomposed_quantize_per_tensor_default_1660: "i32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_put_default_20, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_index_put_default_20 = None 2025-06-05T23:26:40.8908823Z 2025-06-05T23:26:40.8909657Z # File: .74:5789 in forward, code: dequantize_per_tensor_default_1819 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1819, 0.00039381824899464846, 31308, 0, 65535, torch.int32) 2025-06-05T23:26:40.8910598Z quantized_decomposed_dequantize_per_tensor_default_2254: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1660, 0.00039381824899464846, 31308, 0, 65535, torch.int32) 2025-06-05T23:26:40.8910678Z 2025-06-05T23:26:40.8911402Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.8912342Z quantized_decomposed_dequantize_per_tensor_default_2255: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1660, 0.00039381824899464846, 31308, 0, 65535, torch.int32) 2025-06-05T23:26:40.8913279Z quantized_decomposed_dequantize_per_tensor_default_2256: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1660, 0.00039381824899464846, 31308, 0, 65535, torch.int32) 2025-06-05T23:26:40.8914264Z quantized_decomposed_dequantize_per_tensor_default_2257: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1660, 0.00039381824899464846, 31308, 0, 65535, torch.int32) 2025-06-05T23:26:40.8915220Z quantized_decomposed_dequantize_per_tensor_default_2258: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1660, 0.00039381824899464846, 31308, 0, 65535, torch.int32) 2025-06-05T23:26:40.8916173Z quantized_decomposed_dequantize_per_tensor_default_2259: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1660, 0.00039381824899464846, 31308, 0, 65535, torch.int32) 2025-06-05T23:26:40.8917104Z quantized_decomposed_dequantize_per_tensor_default_2260: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1660, 0.00039381824899464846, 31308, 0, 65535, torch.int32) 2025-06-05T23:26:40.8918064Z quantized_decomposed_dequantize_per_tensor_default_2261: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1660, 0.00039381824899464846, 31308, 0, 65535, torch.int32) 2025-06-05T23:26:40.8919009Z quantized_decomposed_dequantize_per_tensor_default_2262: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1660, 0.00039381824899464846, 31308, 0, 65535, torch.int32) 2025-06-05T23:26:40.8919937Z quantized_decomposed_dequantize_per_tensor_default_2263: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1660, 0.00039381824899464846, 31308, 0, 65535, torch.int32) 2025-06-05T23:26:40.8920883Z quantized_decomposed_dequantize_per_tensor_default_2264: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1660, 0.00039381824899464846, 31308, 0, 65535, torch.int32) 2025-06-05T23:26:40.8921853Z quantized_decomposed_dequantize_per_tensor_default_2265: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1660, 0.00039381824899464846, 31308, 0, 65535, torch.int32) 2025-06-05T23:26:40.8923039Z quantized_decomposed_dequantize_per_tensor_default_2266: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1660, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1660 = None 2025-06-05T23:26:40.8923122Z 2025-06-05T23:26:40.8923795Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:511 in update, code: v_out = torch.ops.aten.index_put_(self.past_v_caches, [None, input_pos], v_val) 2025-06-05T23:26:40.8925112Z aten_index_put_default_21: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(quantized_decomposed_dequantize_per_tensor_default_145, [None, attn_options_input_pos], quantized_decomposed_dequantize_per_tensor_default_2215); quantized_decomposed_dequantize_per_tensor_default_145 = quantized_decomposed_dequantize_per_tensor_default_2215 = None 2025-06-05T23:26:40.8926038Z quantized_decomposed_quantize_per_tensor_default_1661: "i32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_put_default_21, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_index_put_default_21 = None 2025-06-05T23:26:40.8926141Z 2025-06-05T23:26:40.8926982Z # File: .74:5804 in forward, code: dequantize_per_tensor_default_1820 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1820, 0.00021122458565514535, 31154, 0, 65535, torch.int32) 2025-06-05T23:26:40.8927928Z quantized_decomposed_dequantize_per_tensor_default_2267: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1661, 0.00021122458565514535, 31154, 0, 65535, torch.int32) 2025-06-05T23:26:40.8928003Z 2025-06-05T23:26:40.8928657Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.8929634Z quantized_decomposed_dequantize_per_tensor_default_2268: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1661, 0.00021122458565514535, 31154, 0, 65535, torch.int32) 2025-06-05T23:26:40.8930583Z quantized_decomposed_dequantize_per_tensor_default_2269: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1661, 0.00021122458565514535, 31154, 0, 65535, torch.int32) 2025-06-05T23:26:40.8931519Z quantized_decomposed_dequantize_per_tensor_default_2270: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1661, 0.00021122458565514535, 31154, 0, 65535, torch.int32) 2025-06-05T23:26:40.8932452Z quantized_decomposed_dequantize_per_tensor_default_2271: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1661, 0.00021122458565514535, 31154, 0, 65535, torch.int32) 2025-06-05T23:26:40.8933400Z quantized_decomposed_dequantize_per_tensor_default_2272: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1661, 0.00021122458565514535, 31154, 0, 65535, torch.int32) 2025-06-05T23:26:40.8934360Z quantized_decomposed_dequantize_per_tensor_default_2273: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1661, 0.00021122458565514535, 31154, 0, 65535, torch.int32) 2025-06-05T23:26:40.8935309Z quantized_decomposed_dequantize_per_tensor_default_2274: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1661, 0.00021122458565514535, 31154, 0, 65535, torch.int32) 2025-06-05T23:26:40.8936254Z quantized_decomposed_dequantize_per_tensor_default_2275: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1661, 0.00021122458565514535, 31154, 0, 65535, torch.int32) 2025-06-05T23:26:40.8937182Z quantized_decomposed_dequantize_per_tensor_default_2276: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1661, 0.00021122458565514535, 31154, 0, 65535, torch.int32) 2025-06-05T23:26:40.8938129Z quantized_decomposed_dequantize_per_tensor_default_2277: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1661, 0.00021122458565514535, 31154, 0, 65535, torch.int32) 2025-06-05T23:26:40.8939126Z quantized_decomposed_dequantize_per_tensor_default_2278: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1661, 0.00021122458565514535, 31154, 0, 65535, torch.int32) 2025-06-05T23:26:40.8940326Z quantized_decomposed_dequantize_per_tensor_default_2279: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1661, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1661 = None 2025-06-05T23:26:40.8940402Z 2025-06-05T23:26:40.8941040Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.8941895Z aten_permute_copy_default_417: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2266, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2266 = None 2025-06-05T23:26:40.8942858Z quantized_decomposed_quantize_per_tensor_default_1662: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_417, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_permute_copy_default_417 = None 2025-06-05T23:26:40.8944051Z quantized_decomposed_dequantize_per_tensor_default_2280: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1662, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1662 = None 2025-06-05T23:26:40.8944806Z aten_select_copy_int_480: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2280, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2280 = None 2025-06-05T23:26:40.8945725Z quantized_decomposed_quantize_per_tensor_default_1663: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_480, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_select_copy_int_480 = None 2025-06-05T23:26:40.8946941Z quantized_decomposed_dequantize_per_tensor_default_2281: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1663, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1663 = None 2025-06-05T23:26:40.8947685Z aten_select_copy_int_481: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2281, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2281 = None 2025-06-05T23:26:40.8948611Z quantized_decomposed_quantize_per_tensor_default_1664: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_481, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_select_copy_int_481 = None 2025-06-05T23:26:40.8948688Z 2025-06-05T23:26:40.8949648Z # File: .74:5825 in forward, code: dequantize_per_tensor_default_1823 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1823, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantize_per_tensor_default_1823 = None 2025-06-05T23:26:40.8950952Z quantized_decomposed_dequantize_per_tensor_default_2282: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1664, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1664 = None 2025-06-05T23:26:40.8951058Z 2025-06-05T23:26:40.8951699Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.8952528Z aten_permute_copy_default_418: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2265, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2265 = None 2025-06-05T23:26:40.8953494Z quantized_decomposed_quantize_per_tensor_default_1665: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_418, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_permute_copy_default_418 = None 2025-06-05T23:26:40.8954710Z quantized_decomposed_dequantize_per_tensor_default_2283: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1665, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1665 = None 2025-06-05T23:26:40.8955461Z aten_select_copy_int_482: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2283, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2283 = None 2025-06-05T23:26:40.8956386Z quantized_decomposed_quantize_per_tensor_default_1666: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_482, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_select_copy_int_482 = None 2025-06-05T23:26:40.8957564Z quantized_decomposed_dequantize_per_tensor_default_2284: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1666, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1666 = None 2025-06-05T23:26:40.8958338Z aten_select_copy_int_483: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2284, 0, 1); quantized_decomposed_dequantize_per_tensor_default_2284 = None 2025-06-05T23:26:40.8959261Z quantized_decomposed_quantize_per_tensor_default_1667: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_483, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_select_copy_int_483 = None 2025-06-05T23:26:40.8959339Z 2025-06-05T23:26:40.8960293Z # File: .74:5834 in forward, code: dequantize_per_tensor_default_1826 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1826, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantize_per_tensor_default_1826 = None 2025-06-05T23:26:40.8961476Z quantized_decomposed_dequantize_per_tensor_default_2285: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1667, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1667 = None 2025-06-05T23:26:40.8961553Z 2025-06-05T23:26:40.8962204Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.8963041Z aten_permute_copy_default_419: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2264, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2264 = None 2025-06-05T23:26:40.8964024Z quantized_decomposed_quantize_per_tensor_default_1668: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_419, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_permute_copy_default_419 = None 2025-06-05T23:26:40.8965211Z quantized_decomposed_dequantize_per_tensor_default_2286: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1668, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1668 = None 2025-06-05T23:26:40.8965955Z aten_select_copy_int_484: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2286, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2286 = None 2025-06-05T23:26:40.8966906Z quantized_decomposed_quantize_per_tensor_default_1669: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_484, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_select_copy_int_484 = None 2025-06-05T23:26:40.8968077Z quantized_decomposed_dequantize_per_tensor_default_2287: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1669, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1669 = None 2025-06-05T23:26:40.8968813Z aten_select_copy_int_485: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2287, 0, 2); quantized_decomposed_dequantize_per_tensor_default_2287 = None 2025-06-05T23:26:40.8969733Z quantized_decomposed_quantize_per_tensor_default_1670: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_485, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_select_copy_int_485 = None 2025-06-05T23:26:40.8969811Z 2025-06-05T23:26:40.8971110Z # File: .74:5843 in forward, code: dequantize_per_tensor_default_1829 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1829, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantize_per_tensor_default_1829 = None 2025-06-05T23:26:40.8972283Z quantized_decomposed_dequantize_per_tensor_default_2288: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1670, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1670 = None 2025-06-05T23:26:40.8972363Z 2025-06-05T23:26:40.8973234Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.8974055Z aten_permute_copy_default_420: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2263, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2263 = None 2025-06-05T23:26:40.8975016Z quantized_decomposed_quantize_per_tensor_default_1671: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_420, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_permute_copy_default_420 = None 2025-06-05T23:26:40.8976289Z quantized_decomposed_dequantize_per_tensor_default_2289: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1671, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1671 = None 2025-06-05T23:26:40.8977096Z aten_select_copy_int_486: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2289, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2289 = None 2025-06-05T23:26:40.8978025Z quantized_decomposed_quantize_per_tensor_default_1672: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_486, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_select_copy_int_486 = None 2025-06-05T23:26:40.8979201Z quantized_decomposed_dequantize_per_tensor_default_2290: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1672, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1672 = None 2025-06-05T23:26:40.8979995Z aten_select_copy_int_487: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2290, 0, 3); quantized_decomposed_dequantize_per_tensor_default_2290 = None 2025-06-05T23:26:40.8980901Z quantized_decomposed_quantize_per_tensor_default_1673: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_487, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_select_copy_int_487 = None 2025-06-05T23:26:40.8980976Z 2025-06-05T23:26:40.8981944Z # File: .74:5852 in forward, code: dequantize_per_tensor_default_1832 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1832, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantize_per_tensor_default_1832 = None 2025-06-05T23:26:40.8983111Z quantized_decomposed_dequantize_per_tensor_default_2291: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1673, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1673 = None 2025-06-05T23:26:40.8983220Z 2025-06-05T23:26:40.8983872Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.8984687Z aten_permute_copy_default_421: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2262, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2262 = None 2025-06-05T23:26:40.8985657Z quantized_decomposed_quantize_per_tensor_default_1674: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_421, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_permute_copy_default_421 = None 2025-06-05T23:26:40.8986841Z quantized_decomposed_dequantize_per_tensor_default_2292: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1674, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1674 = None 2025-06-05T23:26:40.8987587Z aten_select_copy_int_488: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2292, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2292 = None 2025-06-05T23:26:40.8988535Z quantized_decomposed_quantize_per_tensor_default_1675: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_488, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_select_copy_int_488 = None 2025-06-05T23:26:40.8989735Z quantized_decomposed_dequantize_per_tensor_default_2293: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1675, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1675 = None 2025-06-05T23:26:40.8990486Z aten_select_copy_int_489: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2293, 0, 4); quantized_decomposed_dequantize_per_tensor_default_2293 = None 2025-06-05T23:26:40.8991497Z quantized_decomposed_quantize_per_tensor_default_1676: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_489, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_select_copy_int_489 = None 2025-06-05T23:26:40.8991577Z 2025-06-05T23:26:40.8992545Z # File: .74:5861 in forward, code: dequantize_per_tensor_default_1835 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1835, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantize_per_tensor_default_1835 = None 2025-06-05T23:26:40.8993714Z quantized_decomposed_dequantize_per_tensor_default_2294: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1676, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1676 = None 2025-06-05T23:26:40.8993792Z 2025-06-05T23:26:40.8994444Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.8995260Z aten_permute_copy_default_422: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2261, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2261 = None 2025-06-05T23:26:40.8996263Z quantized_decomposed_quantize_per_tensor_default_1677: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_422, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_permute_copy_default_422 = None 2025-06-05T23:26:40.8997439Z quantized_decomposed_dequantize_per_tensor_default_2295: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1677, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1677 = None 2025-06-05T23:26:40.8998185Z aten_select_copy_int_490: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2295, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2295 = None 2025-06-05T23:26:40.8999104Z quantized_decomposed_quantize_per_tensor_default_1678: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_490, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_select_copy_int_490 = None 2025-06-05T23:26:40.9000300Z quantized_decomposed_dequantize_per_tensor_default_2296: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1678, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1678 = None 2025-06-05T23:26:40.9001085Z aten_select_copy_int_491: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2296, 0, 5); quantized_decomposed_dequantize_per_tensor_default_2296 = None 2025-06-05T23:26:40.9001990Z quantized_decomposed_quantize_per_tensor_default_1679: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_491, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_select_copy_int_491 = None 2025-06-05T23:26:40.9002068Z 2025-06-05T23:26:40.9003036Z # File: .74:5870 in forward, code: dequantize_per_tensor_default_1838 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1838, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantize_per_tensor_default_1838 = None 2025-06-05T23:26:40.9004233Z quantized_decomposed_dequantize_per_tensor_default_2297: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1679, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1679 = None 2025-06-05T23:26:40.9004323Z 2025-06-05T23:26:40.9004959Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.9005772Z aten_permute_copy_default_423: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2260, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2260 = None 2025-06-05T23:26:40.9006745Z quantized_decomposed_quantize_per_tensor_default_1680: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_423, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_permute_copy_default_423 = None 2025-06-05T23:26:40.9007960Z quantized_decomposed_dequantize_per_tensor_default_2298: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1680, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1680 = None 2025-06-05T23:26:40.9008712Z aten_select_copy_int_492: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2298, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2298 = None 2025-06-05T23:26:40.9009640Z quantized_decomposed_quantize_per_tensor_default_1681: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_492, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_select_copy_int_492 = None 2025-06-05T23:26:40.9010813Z quantized_decomposed_dequantize_per_tensor_default_2299: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1681, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1681 = None 2025-06-05T23:26:40.9011565Z aten_select_copy_int_493: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2299, 0, 6); quantized_decomposed_dequantize_per_tensor_default_2299 = None 2025-06-05T23:26:40.9012498Z quantized_decomposed_quantize_per_tensor_default_1682: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_493, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_select_copy_int_493 = None 2025-06-05T23:26:40.9012597Z 2025-06-05T23:26:40.9013567Z # File: .74:5879 in forward, code: dequantize_per_tensor_default_1841 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1841, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantize_per_tensor_default_1841 = None 2025-06-05T23:26:40.9014736Z quantized_decomposed_dequantize_per_tensor_default_2300: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1682, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1682 = None 2025-06-05T23:26:40.9014823Z 2025-06-05T23:26:40.9015493Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.9016312Z aten_permute_copy_default_424: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2259, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2259 = None 2025-06-05T23:26:40.9017288Z quantized_decomposed_quantize_per_tensor_default_1683: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_424, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_permute_copy_default_424 = None 2025-06-05T23:26:40.9018471Z quantized_decomposed_dequantize_per_tensor_default_2301: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1683, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1683 = None 2025-06-05T23:26:40.9019232Z aten_select_copy_int_494: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2301, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2301 = None 2025-06-05T23:26:40.9020171Z quantized_decomposed_quantize_per_tensor_default_1684: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_494, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_select_copy_int_494 = None 2025-06-05T23:26:40.9021342Z quantized_decomposed_dequantize_per_tensor_default_2302: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1684, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1684 = None 2025-06-05T23:26:40.9022095Z aten_select_copy_int_495: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2302, 0, 7); quantized_decomposed_dequantize_per_tensor_default_2302 = None 2025-06-05T23:26:40.9023013Z quantized_decomposed_quantize_per_tensor_default_1685: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_495, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_select_copy_int_495 = None 2025-06-05T23:26:40.9023104Z 2025-06-05T23:26:40.9024061Z # File: .74:5888 in forward, code: dequantize_per_tensor_default_1844 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1844, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantize_per_tensor_default_1844 = None 2025-06-05T23:26:40.9025267Z quantized_decomposed_dequantize_per_tensor_default_2303: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1685, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1685 = None 2025-06-05T23:26:40.9025385Z 2025-06-05T23:26:40.9026025Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.9026843Z aten_permute_copy_default_425: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2258, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2258 = None 2025-06-05T23:26:40.9027826Z quantized_decomposed_quantize_per_tensor_default_1686: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_425, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_permute_copy_default_425 = None 2025-06-05T23:26:40.9029037Z quantized_decomposed_dequantize_per_tensor_default_2304: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1686, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1686 = None 2025-06-05T23:26:40.9029799Z aten_select_copy_int_496: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2304, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2304 = None 2025-06-05T23:26:40.9030709Z quantized_decomposed_quantize_per_tensor_default_1687: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_496, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_select_copy_int_496 = None 2025-06-05T23:26:40.9031941Z quantized_decomposed_dequantize_per_tensor_default_2305: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1687, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1687 = None 2025-06-05T23:26:40.9032731Z aten_select_copy_int_497: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2305, 0, 8); quantized_decomposed_dequantize_per_tensor_default_2305 = None 2025-06-05T23:26:40.9033648Z quantized_decomposed_quantize_per_tensor_default_1688: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_497, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_select_copy_int_497 = None 2025-06-05T23:26:40.9033745Z 2025-06-05T23:26:40.9034709Z # File: .74:5897 in forward, code: dequantize_per_tensor_default_1847 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1847, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantize_per_tensor_default_1847 = None 2025-06-05T23:26:40.9035884Z quantized_decomposed_dequantize_per_tensor_default_2306: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1688, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1688 = None 2025-06-05T23:26:40.9035979Z 2025-06-05T23:26:40.9036618Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.9037479Z aten_permute_copy_default_426: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2257, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2257 = None 2025-06-05T23:26:40.9038462Z quantized_decomposed_quantize_per_tensor_default_1689: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_426, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_permute_copy_default_426 = None 2025-06-05T23:26:40.9039648Z quantized_decomposed_dequantize_per_tensor_default_2307: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1689, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1689 = None 2025-06-05T23:26:40.9040435Z aten_select_copy_int_498: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2307, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2307 = None 2025-06-05T23:26:40.9041363Z quantized_decomposed_quantize_per_tensor_default_1690: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_498, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_select_copy_int_498 = None 2025-06-05T23:26:40.9042552Z quantized_decomposed_dequantize_per_tensor_default_2308: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1690, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1690 = None 2025-06-05T23:26:40.9043299Z aten_select_copy_int_499: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2308, 0, 9); quantized_decomposed_dequantize_per_tensor_default_2308 = None 2025-06-05T23:26:40.9044211Z quantized_decomposed_quantize_per_tensor_default_1691: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_499, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_select_copy_int_499 = None 2025-06-05T23:26:40.9044323Z 2025-06-05T23:26:40.9045283Z # File: .74:5906 in forward, code: dequantize_per_tensor_default_1850 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1850, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantize_per_tensor_default_1850 = None 2025-06-05T23:26:40.9046453Z quantized_decomposed_dequantize_per_tensor_default_2309: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1691, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1691 = None 2025-06-05T23:26:40.9046544Z 2025-06-05T23:26:40.9047181Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.9048009Z aten_permute_copy_default_427: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2256, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2256 = None 2025-06-05T23:26:40.9048961Z quantized_decomposed_quantize_per_tensor_default_1692: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_427, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_permute_copy_default_427 = None 2025-06-05T23:26:40.9050188Z quantized_decomposed_dequantize_per_tensor_default_2310: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1692, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1692 = None 2025-06-05T23:26:40.9050944Z aten_select_copy_int_500: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2310, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2310 = None 2025-06-05T23:26:40.9051855Z quantized_decomposed_quantize_per_tensor_default_1693: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_500, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_select_copy_int_500 = None 2025-06-05T23:26:40.9053055Z quantized_decomposed_dequantize_per_tensor_default_2311: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1693, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1693 = None 2025-06-05T23:26:40.9053805Z aten_select_copy_int_501: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2311, 0, 10); quantized_decomposed_dequantize_per_tensor_default_2311 = None 2025-06-05T23:26:40.9054709Z quantized_decomposed_quantize_per_tensor_default_1694: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_501, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_select_copy_int_501 = None 2025-06-05T23:26:40.9054803Z 2025-06-05T23:26:40.9055762Z # File: .74:5915 in forward, code: dequantize_per_tensor_default_1853 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1853, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantize_per_tensor_default_1853 = None 2025-06-05T23:26:40.9056965Z quantized_decomposed_dequantize_per_tensor_default_2312: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1694, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1694 = None 2025-06-05T23:26:40.9057041Z 2025-06-05T23:26:40.9057682Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.9058511Z aten_permute_copy_default_428: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2255, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2255 = None 2025-06-05T23:26:40.9059466Z quantized_decomposed_quantize_per_tensor_default_1695: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_428, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_permute_copy_default_428 = None 2025-06-05T23:26:40.9060634Z quantized_decomposed_dequantize_per_tensor_default_2313: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1695, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1695 = None 2025-06-05T23:26:40.9061413Z aten_select_copy_int_502: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2313, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2313 = None 2025-06-05T23:26:40.9062345Z quantized_decomposed_quantize_per_tensor_default_1696: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_502, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_select_copy_int_502 = None 2025-06-05T23:26:40.9063529Z quantized_decomposed_dequantize_per_tensor_default_2314: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1696, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1696 = None 2025-06-05T23:26:40.9064271Z aten_select_copy_int_503: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2314, 0, 11); quantized_decomposed_dequantize_per_tensor_default_2314 = None 2025-06-05T23:26:40.9065214Z quantized_decomposed_quantize_per_tensor_default_1697: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_503, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_select_copy_int_503 = None 2025-06-05T23:26:40.9065302Z 2025-06-05T23:26:40.9066265Z # File: .74:5924 in forward, code: dequantize_per_tensor_default_1856 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1856, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantize_per_tensor_default_1856 = None 2025-06-05T23:26:40.9067440Z quantized_decomposed_dequantize_per_tensor_default_2315: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1697, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1697 = None 2025-06-05T23:26:40.9067519Z 2025-06-05T23:26:40.9068156Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.9074239Z aten_cat_default_42: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([quantized_decomposed_dequantize_per_tensor_default_2282, quantized_decomposed_dequantize_per_tensor_default_2285, quantized_decomposed_dequantize_per_tensor_default_2288, quantized_decomposed_dequantize_per_tensor_default_2291, quantized_decomposed_dequantize_per_tensor_default_2294, quantized_decomposed_dequantize_per_tensor_default_2297, quantized_decomposed_dequantize_per_tensor_default_2300, quantized_decomposed_dequantize_per_tensor_default_2303, quantized_decomposed_dequantize_per_tensor_default_2306, quantized_decomposed_dequantize_per_tensor_default_2309, quantized_decomposed_dequantize_per_tensor_default_2312, quantized_decomposed_dequantize_per_tensor_default_2315]); quantized_decomposed_dequantize_per_tensor_default_2282 = quantized_decomposed_dequantize_per_tensor_default_2285 = quantized_decomposed_dequantize_per_tensor_default_2288 = quantized_decomposed_dequantize_per_tensor_default_2291 = quantized_decomposed_dequantize_per_tensor_default_2294 = quantized_decomposed_dequantize_per_tensor_default_2297 = quantized_decomposed_dequantize_per_tensor_default_2300 = quantized_decomposed_dequantize_per_tensor_default_2303 = quantized_decomposed_dequantize_per_tensor_default_2306 = quantized_decomposed_dequantize_per_tensor_default_2309 = quantized_decomposed_dequantize_per_tensor_default_2312 = quantized_decomposed_dequantize_per_tensor_default_2315 = None 2025-06-05T23:26:40.9075185Z quantized_decomposed_quantize_per_tensor_default_1698: "i32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_42, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_cat_default_42 = None 2025-06-05T23:26:40.9076399Z quantized_decomposed_dequantize_per_tensor_default_2316: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1698, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1698 = None 2025-06-05T23:26:40.9077205Z aten_view_copy_default_189: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2316, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_2316 = None 2025-06-05T23:26:40.9078139Z quantized_decomposed_quantize_per_tensor_default_1699: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_189, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_view_copy_default_189 = None 2025-06-05T23:26:40.9078258Z 2025-06-05T23:26:40.9078857Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:324 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-06-05T23:26:40.9080038Z quantized_decomposed_dequantize_per_tensor_default_2317: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1699, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1699 = None 2025-06-05T23:26:40.9080116Z 2025-06-05T23:26:40.9080769Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.9081588Z aten_permute_copy_default_429: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2279, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2279 = None 2025-06-05T23:26:40.9082578Z quantized_decomposed_quantize_per_tensor_default_1700: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_429, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_permute_copy_default_429 = None 2025-06-05T23:26:40.9083774Z quantized_decomposed_dequantize_per_tensor_default_2318: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1700, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1700 = None 2025-06-05T23:26:40.9084530Z aten_select_copy_int_504: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2318, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2318 = None 2025-06-05T23:26:40.9085457Z quantized_decomposed_quantize_per_tensor_default_1701: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_504, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_select_copy_int_504 = None 2025-06-05T23:26:40.9086638Z quantized_decomposed_dequantize_per_tensor_default_2319: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1701, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1701 = None 2025-06-05T23:26:40.9087419Z aten_select_copy_int_505: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2319, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2319 = None 2025-06-05T23:26:40.9088351Z quantized_decomposed_quantize_per_tensor_default_1702: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_505, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_select_copy_int_505 = None 2025-06-05T23:26:40.9088426Z 2025-06-05T23:26:40.9089400Z # File: .74:5939 in forward, code: dequantize_per_tensor_default_1861 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1861, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantize_per_tensor_default_1861 = None 2025-06-05T23:26:40.9090577Z quantized_decomposed_dequantize_per_tensor_default_2320: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1702, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1702 = None 2025-06-05T23:26:40.9090677Z 2025-06-05T23:26:40.9091325Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.9092139Z aten_permute_copy_default_430: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2278, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2278 = None 2025-06-05T23:26:40.9093115Z quantized_decomposed_quantize_per_tensor_default_1703: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_430, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_permute_copy_default_430 = None 2025-06-05T23:26:40.9094297Z quantized_decomposed_dequantize_per_tensor_default_2321: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1703, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1703 = None 2025-06-05T23:26:40.9095070Z aten_select_copy_int_506: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2321, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2321 = None 2025-06-05T23:26:40.9095991Z quantized_decomposed_quantize_per_tensor_default_1704: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_506, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_select_copy_int_506 = None 2025-06-05T23:26:40.9097161Z quantized_decomposed_dequantize_per_tensor_default_2322: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1704, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1704 = None 2025-06-05T23:26:40.9097911Z aten_select_copy_int_507: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2322, 0, 1); quantized_decomposed_dequantize_per_tensor_default_2322 = None 2025-06-05T23:26:40.9098824Z quantized_decomposed_quantize_per_tensor_default_1705: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_507, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_select_copy_int_507 = None 2025-06-05T23:26:40.9098902Z 2025-06-05T23:26:40.9099893Z # File: .74:5948 in forward, code: dequantize_per_tensor_default_1864 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1864, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantize_per_tensor_default_1864 = None 2025-06-05T23:26:40.9101092Z quantized_decomposed_dequantize_per_tensor_default_2323: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1705, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1705 = None 2025-06-05T23:26:40.9101170Z 2025-06-05T23:26:40.9101823Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.9102661Z aten_permute_copy_default_431: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2277, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2277 = None 2025-06-05T23:26:40.9103639Z quantized_decomposed_quantize_per_tensor_default_1706: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_431, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_permute_copy_default_431 = None 2025-06-05T23:26:40.9104822Z quantized_decomposed_dequantize_per_tensor_default_2324: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1706, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1706 = None 2025-06-05T23:26:40.9105575Z aten_select_copy_int_508: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2324, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2324 = None 2025-06-05T23:26:40.9106494Z quantized_decomposed_quantize_per_tensor_default_1707: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_508, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_select_copy_int_508 = None 2025-06-05T23:26:40.9107691Z quantized_decomposed_dequantize_per_tensor_default_2325: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1707, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1707 = None 2025-06-05T23:26:40.9108450Z aten_select_copy_int_509: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2325, 0, 2); quantized_decomposed_dequantize_per_tensor_default_2325 = None 2025-06-05T23:26:40.9109369Z quantized_decomposed_quantize_per_tensor_default_1708: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_509, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_select_copy_int_509 = None 2025-06-05T23:26:40.9109446Z 2025-06-05T23:26:40.9110422Z # File: .74:5957 in forward, code: dequantize_per_tensor_default_1867 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1867, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantize_per_tensor_default_1867 = None 2025-06-05T23:26:40.9111684Z quantized_decomposed_dequantize_per_tensor_default_2326: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1708, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1708 = None 2025-06-05T23:26:40.9111832Z 2025-06-05T23:26:40.9112473Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.9113291Z aten_permute_copy_default_432: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2276, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2276 = None 2025-06-05T23:26:40.9114263Z quantized_decomposed_quantize_per_tensor_default_1709: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_432, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_permute_copy_default_432 = None 2025-06-05T23:26:40.9115480Z quantized_decomposed_dequantize_per_tensor_default_2327: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1709, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1709 = None 2025-06-05T23:26:40.9116225Z aten_select_copy_int_510: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2327, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2327 = None 2025-06-05T23:26:40.9117147Z quantized_decomposed_quantize_per_tensor_default_1710: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_510, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_select_copy_int_510 = None 2025-06-05T23:26:40.9118324Z quantized_decomposed_dequantize_per_tensor_default_2328: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1710, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1710 = None 2025-06-05T23:26:40.9119077Z aten_select_copy_int_511: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2328, 0, 3); quantized_decomposed_dequantize_per_tensor_default_2328 = None 2025-06-05T23:26:40.9120011Z quantized_decomposed_quantize_per_tensor_default_1711: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_511, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_select_copy_int_511 = None 2025-06-05T23:26:40.9120087Z 2025-06-05T23:26:40.9121065Z # File: .74:5966 in forward, code: dequantize_per_tensor_default_1870 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1870, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantize_per_tensor_default_1870 = None 2025-06-05T23:26:40.9122241Z quantized_decomposed_dequantize_per_tensor_default_2329: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1711, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1711 = None 2025-06-05T23:26:40.9122328Z 2025-06-05T23:26:40.9122969Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.9123787Z aten_permute_copy_default_433: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2275, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2275 = None 2025-06-05T23:26:40.9124813Z quantized_decomposed_quantize_per_tensor_default_1712: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_433, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_permute_copy_default_433 = None 2025-06-05T23:26:40.9125988Z quantized_decomposed_dequantize_per_tensor_default_2330: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1712, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1712 = None 2025-06-05T23:26:40.9126751Z aten_select_copy_int_512: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2330, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2330 = None 2025-06-05T23:26:40.9127688Z quantized_decomposed_quantize_per_tensor_default_1713: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_512, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_select_copy_int_512 = None 2025-06-05T23:26:40.9128865Z quantized_decomposed_dequantize_per_tensor_default_2331: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1713, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1713 = None 2025-06-05T23:26:40.9129626Z aten_select_copy_int_513: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2331, 0, 4); quantized_decomposed_dequantize_per_tensor_default_2331 = None 2025-06-05T23:26:40.9130528Z quantized_decomposed_quantize_per_tensor_default_1714: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_513, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_select_copy_int_513 = None 2025-06-05T23:26:40.9130618Z 2025-06-05T23:26:40.9131595Z # File: .74:5975 in forward, code: dequantize_per_tensor_default_1873 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1873, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantize_per_tensor_default_1873 = None 2025-06-05T23:26:40.9132767Z quantized_decomposed_dequantize_per_tensor_default_2332: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1714, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1714 = None 2025-06-05T23:26:40.9132860Z 2025-06-05T23:26:40.9133503Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.9134316Z aten_permute_copy_default_434: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2274, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2274 = None 2025-06-05T23:26:40.9135293Z quantized_decomposed_quantize_per_tensor_default_1715: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_434, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_permute_copy_default_434 = None 2025-06-05T23:26:40.9136504Z quantized_decomposed_dequantize_per_tensor_default_2333: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1715, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1715 = None 2025-06-05T23:26:40.9137287Z aten_select_copy_int_514: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2333, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2333 = None 2025-06-05T23:26:40.9138211Z quantized_decomposed_quantize_per_tensor_default_1716: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_514, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_select_copy_int_514 = None 2025-06-05T23:26:40.9139386Z quantized_decomposed_dequantize_per_tensor_default_2334: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1716, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1716 = None 2025-06-05T23:26:40.9140165Z aten_select_copy_int_515: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2334, 0, 5); quantized_decomposed_dequantize_per_tensor_default_2334 = None 2025-06-05T23:26:40.9141072Z quantized_decomposed_quantize_per_tensor_default_1717: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_515, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_select_copy_int_515 = None 2025-06-05T23:26:40.9141164Z 2025-06-05T23:26:40.9142113Z # File: .74:5984 in forward, code: dequantize_per_tensor_default_1876 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1876, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantize_per_tensor_default_1876 = None 2025-06-05T23:26:40.9143291Z quantized_decomposed_dequantize_per_tensor_default_2335: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1717, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1717 = None 2025-06-05T23:26:40.9143383Z 2025-06-05T23:26:40.9144076Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.9144894Z aten_permute_copy_default_435: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2273, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2273 = None 2025-06-05T23:26:40.9145872Z quantized_decomposed_quantize_per_tensor_default_1718: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_435, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_permute_copy_default_435 = None 2025-06-05T23:26:40.9147044Z quantized_decomposed_dequantize_per_tensor_default_2336: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1718, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1718 = None 2025-06-05T23:26:40.9147803Z aten_select_copy_int_516: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2336, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2336 = None 2025-06-05T23:26:40.9148742Z quantized_decomposed_quantize_per_tensor_default_1719: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_516, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_select_copy_int_516 = None 2025-06-05T23:26:40.9149955Z quantized_decomposed_dequantize_per_tensor_default_2337: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1719, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1719 = None 2025-06-05T23:26:40.9150701Z aten_select_copy_int_517: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2337, 0, 6); quantized_decomposed_dequantize_per_tensor_default_2337 = None 2025-06-05T23:26:40.9151710Z quantized_decomposed_quantize_per_tensor_default_1720: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_517, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_select_copy_int_517 = None 2025-06-05T23:26:40.9151803Z 2025-06-05T23:26:40.9152757Z # File: .74:5993 in forward, code: dequantize_per_tensor_default_1879 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1879, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantize_per_tensor_default_1879 = None 2025-06-05T23:26:40.9153921Z quantized_decomposed_dequantize_per_tensor_default_2338: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1720, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1720 = None 2025-06-05T23:26:40.9154016Z 2025-06-05T23:26:40.9154662Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.9155489Z aten_permute_copy_default_436: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2272, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2272 = None 2025-06-05T23:26:40.9156478Z quantized_decomposed_quantize_per_tensor_default_1721: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_436, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_permute_copy_default_436 = None 2025-06-05T23:26:40.9157652Z quantized_decomposed_dequantize_per_tensor_default_2339: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1721, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1721 = None 2025-06-05T23:26:40.9158414Z aten_select_copy_int_518: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2339, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2339 = None 2025-06-05T23:26:40.9159332Z quantized_decomposed_quantize_per_tensor_default_1722: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_518, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_select_copy_int_518 = None 2025-06-05T23:26:40.9160513Z quantized_decomposed_dequantize_per_tensor_default_2340: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1722, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1722 = None 2025-06-05T23:26:40.9161317Z aten_select_copy_int_519: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2340, 0, 7); quantized_decomposed_dequantize_per_tensor_default_2340 = None 2025-06-05T23:26:40.9162229Z quantized_decomposed_quantize_per_tensor_default_1723: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_519, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_select_copy_int_519 = None 2025-06-05T23:26:40.9162319Z 2025-06-05T23:26:40.9163275Z # File: .74:6002 in forward, code: dequantize_per_tensor_default_1882 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1882, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantize_per_tensor_default_1882 = None 2025-06-05T23:26:40.9164500Z quantized_decomposed_dequantize_per_tensor_default_2341: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1723, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1723 = None 2025-06-05T23:26:40.9164577Z 2025-06-05T23:26:40.9165217Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.9166042Z aten_permute_copy_default_437: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2271, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2271 = None 2025-06-05T23:26:40.9167010Z quantized_decomposed_quantize_per_tensor_default_1724: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_437, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_permute_copy_default_437 = None 2025-06-05T23:26:40.9168206Z quantized_decomposed_dequantize_per_tensor_default_2342: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1724, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1724 = None 2025-06-05T23:26:40.9168966Z aten_select_copy_int_520: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2342, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2342 = None 2025-06-05T23:26:40.9169872Z quantized_decomposed_quantize_per_tensor_default_1725: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_520, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_select_copy_int_520 = None 2025-06-05T23:26:40.9171065Z quantized_decomposed_dequantize_per_tensor_default_2343: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1725, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1725 = None 2025-06-05T23:26:40.9171816Z aten_select_copy_int_521: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2343, 0, 8); quantized_decomposed_dequantize_per_tensor_default_2343 = None 2025-06-05T23:26:40.9172961Z quantized_decomposed_quantize_per_tensor_default_1726: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_521, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_select_copy_int_521 = None 2025-06-05T23:26:40.9173186Z 2025-06-05T23:26:40.9174151Z # File: .74:6011 in forward, code: dequantize_per_tensor_default_1885 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1885, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantize_per_tensor_default_1885 = None 2025-06-05T23:26:40.9175338Z quantized_decomposed_dequantize_per_tensor_default_2344: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1726, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1726 = None 2025-06-05T23:26:40.9175416Z 2025-06-05T23:26:40.9176060Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.9176960Z aten_permute_copy_default_438: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2270, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2270 = None 2025-06-05T23:26:40.9177930Z quantized_decomposed_quantize_per_tensor_default_1727: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_438, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_permute_copy_default_438 = None 2025-06-05T23:26:40.9179125Z quantized_decomposed_dequantize_per_tensor_default_2345: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1727, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1727 = None 2025-06-05T23:26:40.9179880Z aten_select_copy_int_522: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2345, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2345 = None 2025-06-05T23:26:40.9180830Z quantized_decomposed_quantize_per_tensor_default_1728: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_522, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_select_copy_int_522 = None 2025-06-05T23:26:40.9182018Z quantized_decomposed_dequantize_per_tensor_default_2346: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1728, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1728 = None 2025-06-05T23:26:40.9182764Z aten_select_copy_int_523: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2346, 0, 9); quantized_decomposed_dequantize_per_tensor_default_2346 = None 2025-06-05T23:26:40.9183690Z quantized_decomposed_quantize_per_tensor_default_1729: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_523, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_select_copy_int_523 = None 2025-06-05T23:26:40.9183767Z 2025-06-05T23:26:40.9184728Z # File: .74:6020 in forward, code: dequantize_per_tensor_default_1888 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1888, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantize_per_tensor_default_1888 = None 2025-06-05T23:26:40.9185953Z quantized_decomposed_dequantize_per_tensor_default_2347: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1729, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1729 = None 2025-06-05T23:26:40.9186054Z 2025-06-05T23:26:40.9186695Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.9187525Z aten_permute_copy_default_439: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2269, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2269 = None 2025-06-05T23:26:40.9188482Z quantized_decomposed_quantize_per_tensor_default_1730: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_439, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_permute_copy_default_439 = None 2025-06-05T23:26:40.9189702Z quantized_decomposed_dequantize_per_tensor_default_2348: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1730, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1730 = None 2025-06-05T23:26:40.9190449Z aten_select_copy_int_524: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2348, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2348 = None 2025-06-05T23:26:40.9191418Z quantized_decomposed_quantize_per_tensor_default_1731: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_524, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_select_copy_int_524 = None 2025-06-05T23:26:40.9192616Z quantized_decomposed_dequantize_per_tensor_default_2349: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1731, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1731 = None 2025-06-05T23:26:40.9193387Z aten_select_copy_int_525: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2349, 0, 10); quantized_decomposed_dequantize_per_tensor_default_2349 = None 2025-06-05T23:26:40.9194310Z quantized_decomposed_quantize_per_tensor_default_1732: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_525, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_select_copy_int_525 = None 2025-06-05T23:26:40.9194392Z 2025-06-05T23:26:40.9195349Z # File: .74:6029 in forward, code: dequantize_per_tensor_default_1891 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1891, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantize_per_tensor_default_1891 = None 2025-06-05T23:26:40.9196564Z quantized_decomposed_dequantize_per_tensor_default_2350: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1732, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1732 = None 2025-06-05T23:26:40.9196672Z 2025-06-05T23:26:40.9197563Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.9198570Z aten_permute_copy_default_440: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2268, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2268 = None 2025-06-05T23:26:40.9199562Z quantized_decomposed_quantize_per_tensor_default_1733: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_440, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_permute_copy_default_440 = None 2025-06-05T23:26:40.9200746Z quantized_decomposed_dequantize_per_tensor_default_2351: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1733, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1733 = None 2025-06-05T23:26:40.9201520Z aten_select_copy_int_526: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2351, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2351 = None 2025-06-05T23:26:40.9202434Z quantized_decomposed_quantize_per_tensor_default_1734: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_526, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_select_copy_int_526 = None 2025-06-05T23:26:40.9203620Z quantized_decomposed_dequantize_per_tensor_default_2352: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1734, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1734 = None 2025-06-05T23:26:40.9204368Z aten_select_copy_int_527: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2352, 0, 11); quantized_decomposed_dequantize_per_tensor_default_2352 = None 2025-06-05T23:26:40.9205333Z quantized_decomposed_quantize_per_tensor_default_1735: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_527, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_select_copy_int_527 = None 2025-06-05T23:26:40.9205443Z 2025-06-05T23:26:40.9206689Z # File: .74:6038 in forward, code: dequantize_per_tensor_default_1894 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1894, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantize_per_tensor_default_1894 = None 2025-06-05T23:26:40.9207889Z quantized_decomposed_dequantize_per_tensor_default_2353: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1735, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1735 = None 2025-06-05T23:26:40.9207969Z 2025-06-05T23:26:40.9208623Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.9214283Z aten_cat_default_43: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([quantized_decomposed_dequantize_per_tensor_default_2320, quantized_decomposed_dequantize_per_tensor_default_2323, quantized_decomposed_dequantize_per_tensor_default_2326, quantized_decomposed_dequantize_per_tensor_default_2329, quantized_decomposed_dequantize_per_tensor_default_2332, quantized_decomposed_dequantize_per_tensor_default_2335, quantized_decomposed_dequantize_per_tensor_default_2338, quantized_decomposed_dequantize_per_tensor_default_2341, quantized_decomposed_dequantize_per_tensor_default_2344, quantized_decomposed_dequantize_per_tensor_default_2347, quantized_decomposed_dequantize_per_tensor_default_2350, quantized_decomposed_dequantize_per_tensor_default_2353]); quantized_decomposed_dequantize_per_tensor_default_2320 = quantized_decomposed_dequantize_per_tensor_default_2323 = quantized_decomposed_dequantize_per_tensor_default_2326 = quantized_decomposed_dequantize_per_tensor_default_2329 = quantized_decomposed_dequantize_per_tensor_default_2332 = quantized_decomposed_dequantize_per_tensor_default_2335 = quantized_decomposed_dequantize_per_tensor_default_2338 = quantized_decomposed_dequantize_per_tensor_default_2341 = quantized_decomposed_dequantize_per_tensor_default_2344 = quantized_decomposed_dequantize_per_tensor_default_2347 = quantized_decomposed_dequantize_per_tensor_default_2350 = quantized_decomposed_dequantize_per_tensor_default_2353 = None 2025-06-05T23:26:40.9215232Z quantized_decomposed_quantize_per_tensor_default_1736: "i32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_43, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_cat_default_43 = None 2025-06-05T23:26:40.9216417Z quantized_decomposed_dequantize_per_tensor_default_2354: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1736, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1736 = None 2025-06-05T23:26:40.9217224Z aten_view_copy_default_190: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2354, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_2354 = None 2025-06-05T23:26:40.9218158Z quantized_decomposed_quantize_per_tensor_default_1737: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_190, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_view_copy_default_190 = None 2025-06-05T23:26:40.9218238Z 2025-06-05T23:26:40.9219205Z # File: .74:6044 in forward, code: dequantize_per_tensor_default_1896 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1896, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantize_per_tensor_default_1896 = None 2025-06-05T23:26:40.9220404Z quantized_decomposed_dequantize_per_tensor_default_2355: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1737, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1737 = None 2025-06-05T23:26:40.9220495Z 2025-06-05T23:26:40.9221454Z # File: .74:6045 in forward, code: quantize_per_tensor_default_1897 = torch.ops.quantized_decomposed.quantize_per_tensor.default(dequantize_per_tensor_default_1896, 0.00022162823006510735, 0, -32767, 32767, torch.int16); dequantize_per_tensor_default_1896 = None 2025-06-05T23:26:40.9222635Z quantized_decomposed_quantize_per_tensor_default_1738: "i16[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_2355, 0.00022162823006510735, 0, -32767, 32767, torch.int16); quantized_decomposed_dequantize_per_tensor_default_2355 = None 2025-06-05T23:26:40.9222722Z 2025-06-05T23:26:40.9223184Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:327 in forward, code: y = attn_weight @ v 2025-06-05T23:26:40.9224393Z quantized_decomposed_dequantize_per_tensor_default_2356: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1738, 0.00022162823006510735, 0, -32767, 32767, torch.int16); quantized_decomposed_quantize_per_tensor_default_1738 = None 2025-06-05T23:26:40.9224506Z 2025-06-05T23:26:40.9225086Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:324 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-06-05T23:26:40.9225904Z aten_permute_copy_default_441: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2317, [0, 1, 3, 2]); quantized_decomposed_dequantize_per_tensor_default_2317 = None 2025-06-05T23:26:40.9226880Z quantized_decomposed_quantize_per_tensor_default_1739: "i32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_441, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_permute_copy_default_441 = None 2025-06-05T23:26:40.9226982Z 2025-06-05T23:26:40.9227949Z # File: .74:6049 in forward, code: dequantize_per_tensor_default_1898 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1898, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantize_per_tensor_default_1898 = None 2025-06-05T23:26:40.9229121Z quantized_decomposed_dequantize_per_tensor_default_2357: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1739, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1739 = None 2025-06-05T23:26:40.9229199Z 2025-06-05T23:26:40.9230152Z # File: .74:6050 in forward, code: quantize_per_tensor_default_1899 = torch.ops.quantized_decomposed.quantize_per_tensor.default(dequantize_per_tensor_default_1898, 0.000411360728321597, 0, -32767, 32767, torch.int16); dequantize_per_tensor_default_1898 = None 2025-06-05T23:26:40.9231404Z quantized_decomposed_quantize_per_tensor_default_1740: "i16[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_2357, 0.000411360728321597, 0, -32767, 32767, torch.int16); quantized_decomposed_dequantize_per_tensor_default_2357 = None 2025-06-05T23:26:40.9231492Z 2025-06-05T23:26:40.9232100Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:324 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-06-05T23:26:40.9233277Z quantized_decomposed_dequantize_per_tensor_default_2358: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1740, 0.000411360728321597, 0, -32767, 32767, torch.int16); quantized_decomposed_quantize_per_tensor_default_1740 = None 2025-06-05T23:26:40.9234088Z aten_expand_copy_default_40: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_2252, [1, 12, 1, 64]); quantized_decomposed_dequantize_per_tensor_default_2252 = None 2025-06-05T23:26:40.9234646Z aten_view_copy_default_191: "f32[12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_40, [12, 1, 64]); aten_expand_copy_default_40 = None 2025-06-05T23:26:40.9235450Z aten_expand_copy_default_41: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_2358, [1, 12, 64, 128]); quantized_decomposed_dequantize_per_tensor_default_2358 = None 2025-06-05T23:26:40.9236029Z aten_view_copy_default_192: "f32[12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_41, [12, 64, 128]); aten_expand_copy_default_41 = None 2025-06-05T23:26:40.9236742Z aten_bmm_default_20: "f32[12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_191, aten_view_copy_default_192); aten_view_copy_default_191 = aten_view_copy_default_192 = None 2025-06-05T23:26:40.9237273Z aten_view_copy_default_193: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_20, [1, 12, 1, 128]); aten_bmm_default_20 = None 2025-06-05T23:26:40.9238198Z quantized_decomposed_quantize_per_tensor_default_1741: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_193, 0.0036731965374201536, 37823, 0, 65535, torch.int32); aten_view_copy_default_193 = None 2025-06-05T23:26:40.9239399Z quantized_decomposed_dequantize_per_tensor_default_2359: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1741, 0.0036731965374201536, 37823, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1741 = None 2025-06-05T23:26:40.9240270Z quantized_decomposed_dequantize_per_tensor_default_2360: "f32[]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(b__frozen_param159, 1.9073777366429567e-06, 0, 0, 65535, torch.int32); b__frozen_param159 = None 2025-06-05T23:26:40.9241427Z aten_mul_tensor_160: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2359, quantized_decomposed_dequantize_per_tensor_default_2360); quantized_decomposed_dequantize_per_tensor_default_2359 = quantized_decomposed_dequantize_per_tensor_default_2360 = None 2025-06-05T23:26:40.9242315Z quantized_decomposed_quantize_per_tensor_default_1742: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_160, 0.0004591495671775192, 37823, 0, 65535, torch.int32); aten_mul_tensor_160 = None 2025-06-05T23:26:40.9242392Z 2025-06-05T23:26:40.9242874Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:325 in forward, code: attn_weight += attn_mask 2025-06-05T23:26:40.9244098Z quantized_decomposed_dequantize_per_tensor_default_2361: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1742, 0.0004591495671775192, 37823, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1742 = None 2025-06-05T23:26:40.9245255Z aten_add_tensor_52: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_2361, quantized_decomposed_dequantize_per_tensor_default_2253); quantized_decomposed_dequantize_per_tensor_default_2361 = quantized_decomposed_dequantize_per_tensor_default_2253 = None 2025-06-05T23:26:40.9246138Z quantized_decomposed_quantize_per_tensor_default_1743: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_52, 0.004276345018297434, 62560, 0, 65535, torch.int32); aten_add_tensor_52 = None 2025-06-05T23:26:40.9246214Z 2025-06-05T23:26:40.9246783Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:326 in forward, code: attn_weight = torch.softmax(attn_weight, dim=-1) 2025-06-05T23:26:40.9247962Z quantized_decomposed_dequantize_per_tensor_default_2362: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1743, 0.004276345018297434, 62560, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1743 = None 2025-06-05T23:26:40.9248813Z aten__softmax_default_10: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten__softmax_default(quantized_decomposed_dequantize_per_tensor_default_2362, -1, False); quantized_decomposed_dequantize_per_tensor_default_2362 = None 2025-06-05T23:26:40.9249714Z quantized_decomposed_quantize_per_tensor_default_1744: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten__softmax_default_10, 1.5259021893143654e-05, 0, 0, 65535, torch.int32); aten__softmax_default_10 = None 2025-06-05T23:26:40.9249804Z 2025-06-05T23:26:40.9250262Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:327 in forward, code: y = attn_weight @ v 2025-06-05T23:26:40.9251414Z quantized_decomposed_dequantize_per_tensor_default_2363: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1744, 1.5259021893143654e-05, 0, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1744 = None 2025-06-05T23:26:40.9252255Z aten_expand_copy_default_42: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_2363, [1, 12, 1, 128]); quantized_decomposed_dequantize_per_tensor_default_2363 = None 2025-06-05T23:26:40.9252820Z aten_view_copy_default_194: "f32[12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_42, [12, 1, 128]); aten_expand_copy_default_42 = None 2025-06-05T23:26:40.9253641Z aten_expand_copy_default_43: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_2356, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_2356 = None 2025-06-05T23:26:40.9254222Z aten_view_copy_default_195: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_43, [12, 128, 64]); aten_expand_copy_default_43 = None 2025-06-05T23:26:40.9254878Z aten_bmm_default_21: "f32[12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_194, aten_view_copy_default_195); aten_view_copy_default_194 = aten_view_copy_default_195 = None 2025-06-05T23:26:40.9255439Z aten_view_copy_default_196: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_21, [1, 12, 1, 64]); aten_bmm_default_21 = None 2025-06-05T23:26:40.9256365Z quantized_decomposed_quantize_per_tensor_default_1745: "i32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_196, 0.00014636466221418232, 32803, 0, 65535, torch.int32); aten_view_copy_default_196 = None 2025-06-05T23:26:40.9256444Z 2025-06-05T23:26:40.9257088Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:329 in forward, code: return y.transpose(1, 2).contiguous().view(bsz, seqlen, self.dim) 2025-06-05T23:26:40.9258260Z quantized_decomposed_dequantize_per_tensor_default_2364: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1745, 0.00014636466221418232, 32803, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1745 = None 2025-06-05T23:26:40.9259080Z aten_permute_copy_default_442: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2364, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2364 = None 2025-06-05T23:26:40.9260062Z quantized_decomposed_quantize_per_tensor_default_1746: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_442, 0.00014636466221418232, 32803, 0, 65535, torch.int32); aten_permute_copy_default_442 = None 2025-06-05T23:26:40.9263753Z quantized_decomposed_dequantize_per_tensor_default_2365: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1746, 0.00014636466221418232, 32803, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1746 = None 2025-06-05T23:26:40.9264548Z aten_view_copy_default_197: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2365, [1, 1, 768]); quantized_decomposed_dequantize_per_tensor_default_2365 = None 2025-06-05T23:26:40.9265472Z quantized_decomposed_quantize_per_tensor_default_1747: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_197, 0.00014636466221418232, 32803, 0, 65535, torch.int32); aten_view_copy_default_197 = None 2025-06-05T23:26:40.9265594Z 2025-06-05T23:26:40.9266138Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.9267352Z quantized_decomposed_dequantize_per_tensor_default_2366: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1747, 0.00014636466221418232, 32803, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1747 = None 2025-06-05T23:26:40.9268170Z aten_unsqueeze_copy_default_117: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2366, -1); quantized_decomposed_dequantize_per_tensor_default_2366 = None 2025-06-05T23:26:40.9269158Z quantized_decomposed_quantize_per_tensor_default_1748: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_117, 0.00014636466221418232, 32803, 0, 65535, torch.int32); aten_unsqueeze_copy_default_117 = None 2025-06-05T23:26:40.9269239Z 2025-06-05T23:26:40.9269643Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.9270951Z quantized_decomposed_dequantize_per_tensor_default_2367: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1748, 0.00014636466221418232, 32803, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1748 = None 2025-06-05T23:26:40.9271764Z aten_permute_copy_default_443: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2367, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2367 = None 2025-06-05T23:26:40.9272976Z quantized_decomposed_quantize_per_tensor_default_1749: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_443, 0.00014636466221418232, 32803, 0, 65535, torch.int32); aten_permute_copy_default_443 = None 2025-06-05T23:26:40.9273060Z 2025-06-05T23:26:40.9273424Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.9274613Z quantized_decomposed_dequantize_per_tensor_default_2368: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1749, 0.00014636466221418232, 32803, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1749 = None 2025-06-05T23:26:40.9275978Z aten_convolution_default_73: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_2368, quantized_decomposed_dequantize_per_tensor_default_95, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_2368 = quantized_decomposed_dequantize_per_tensor_default_95 = None 2025-06-05T23:26:40.9277026Z quantized_decomposed_quantize_per_tensor_default_1750: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_73, 0.0002480327384546399, 28212, 0, 65535, torch.int32); aten_convolution_default_73 = None 2025-06-05T23:26:40.9277105Z 2025-06-05T23:26:40.9277526Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.9278749Z quantized_decomposed_dequantize_per_tensor_default_2369: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1750, 0.0002480327384546399, 28212, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1750 = None 2025-06-05T23:26:40.9279555Z aten_permute_copy_default_444: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2369, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2369 = None 2025-06-05T23:26:40.9280504Z quantized_decomposed_quantize_per_tensor_default_1751: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_444, 0.0002480327384546399, 28212, 0, 65535, torch.int32); aten_permute_copy_default_444 = None 2025-06-05T23:26:40.9280597Z 2025-06-05T23:26:40.9281138Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.9282346Z quantized_decomposed_dequantize_per_tensor_default_2370: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1751, 0.0002480327384546399, 28212, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1751 = None 2025-06-05T23:26:40.9283125Z aten_squeeze_copy_dims_117: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_2370, [-1]); quantized_decomposed_dequantize_per_tensor_default_2370 = None 2025-06-05T23:26:40.9284052Z quantized_decomposed_quantize_per_tensor_default_1752: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_117, 0.0002480327384546399, 28212, 0, 65535, torch.int32); aten_squeeze_copy_dims_117 = None 2025-06-05T23:26:40.9284143Z 2025-06-05T23:26:40.9284513Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:132 in forward, code: h = x + h 2025-06-05T23:26:40.9285680Z quantized_decomposed_dequantize_per_tensor_default_2371: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1752, 0.0002480327384546399, 28212, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1752 = None 2025-06-05T23:26:40.9286832Z aten_add_tensor_53: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_2193, quantized_decomposed_dequantize_per_tensor_default_2371); quantized_decomposed_dequantize_per_tensor_default_2193 = quantized_decomposed_dequantize_per_tensor_default_2371 = None 2025-06-05T23:26:40.9287720Z quantized_decomposed_quantize_per_tensor_default_1753: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_53, 0.0027502242010086775, 9540, 0, 65535, torch.int32); aten_add_tensor_53 = None 2025-06-05T23:26:40.9287843Z 2025-06-05T23:26:40.9288348Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:136 in forward, code: out = h + self.feed_forward(self.ffn_norm(h)) 2025-06-05T23:26:40.9289281Z quantized_decomposed_dequantize_per_tensor_default_2372: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1753, 0.0027502242010086775, 9540, 0, 65535, torch.int32) 2025-06-05T23:26:40.9290459Z quantized_decomposed_dequantize_per_tensor_default_2373: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1753, 0.0027502242010086775, 9540, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1753 = None 2025-06-05T23:26:40.9290998Z aten_pow_tensor_scalar_21: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(quantized_decomposed_dequantize_per_tensor_default_2373, 2) 2025-06-05T23:26:40.9291452Z aten_mean_dim_21: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_mean_dim(aten_pow_tensor_scalar_21, [2], True); aten_pow_tensor_scalar_21 = None 2025-06-05T23:26:40.9291903Z aten_add_scalar_21: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_add_Scalar(aten_mean_dim_21, 9.999999747378752e-06); aten_mean_dim_21 = None 2025-06-05T23:26:40.9292323Z aten_rsqrt_default_21: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_rsqrt_default(aten_add_scalar_21); aten_add_scalar_21 = None 2025-06-05T23:26:40.9293194Z aten_mul_tensor_161: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2373, aten_rsqrt_default_21); quantized_decomposed_dequantize_per_tensor_default_2373 = aten_rsqrt_default_21 = None 2025-06-05T23:26:40.9294054Z aten_mul_tensor_162: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_161, quantized_decomposed_dequantize_per_tensor_default_96); aten_mul_tensor_161 = quantized_decomposed_dequantize_per_tensor_default_96 = None 2025-06-05T23:26:40.9294927Z quantized_decomposed_quantize_per_tensor_default_1754: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_162, 0.0005783338565379381, 21200, 0, 65535, torch.int32); aten_mul_tensor_162 = None 2025-06-05T23:26:40.9295015Z 2025-06-05T23:26:40.9295541Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.9296476Z quantized_decomposed_dequantize_per_tensor_default_2374: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1754, 0.0005783338565379381, 21200, 0, 65535, torch.int32) 2025-06-05T23:26:40.9297658Z quantized_decomposed_dequantize_per_tensor_default_2375: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1754, 0.0005783338565379381, 21200, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1754 = None 2025-06-05T23:26:40.9298473Z aten_unsqueeze_copy_default_118: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2375, -1); quantized_decomposed_dequantize_per_tensor_default_2375 = None 2025-06-05T23:26:40.9299488Z quantized_decomposed_quantize_per_tensor_default_1755: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_118, 0.0005783338565379381, 21200, 0, 65535, torch.int32); aten_unsqueeze_copy_default_118 = None 2025-06-05T23:26:40.9299605Z 2025-06-05T23:26:40.9300012Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.9301203Z quantized_decomposed_dequantize_per_tensor_default_2376: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1755, 0.0005783338565379381, 21200, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1755 = None 2025-06-05T23:26:40.9302042Z aten_permute_copy_default_445: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2376, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2376 = None 2025-06-05T23:26:40.9303002Z quantized_decomposed_quantize_per_tensor_default_1756: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_445, 0.0005783338565379381, 21200, 0, 65535, torch.int32); aten_permute_copy_default_445 = None 2025-06-05T23:26:40.9303095Z 2025-06-05T23:26:40.9303459Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.9304627Z quantized_decomposed_dequantize_per_tensor_default_2377: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1756, 0.0005783338565379381, 21200, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1756 = None 2025-06-05T23:26:40.9305958Z aten_convolution_default_74: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_2377, quantized_decomposed_dequantize_per_tensor_default_97, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_2377 = quantized_decomposed_dequantize_per_tensor_default_97 = None 2025-06-05T23:26:40.9306929Z quantized_decomposed_quantize_per_tensor_default_1757: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_74, 0.0002567260235082358, 25603, 0, 65535, torch.int32); aten_convolution_default_74 = None 2025-06-05T23:26:40.9307018Z 2025-06-05T23:26:40.9307436Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.9308616Z quantized_decomposed_dequantize_per_tensor_default_2378: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1757, 0.0002567260235082358, 25603, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1757 = None 2025-06-05T23:26:40.9309440Z aten_permute_copy_default_446: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2378, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2378 = None 2025-06-05T23:26:40.9310402Z quantized_decomposed_quantize_per_tensor_default_1758: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_446, 0.0002567260235082358, 25603, 0, 65535, torch.int32); aten_permute_copy_default_446 = None 2025-06-05T23:26:40.9310492Z 2025-06-05T23:26:40.9311134Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.9312315Z quantized_decomposed_dequantize_per_tensor_default_2379: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1758, 0.0002567260235082358, 25603, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1758 = None 2025-06-05T23:26:40.9313126Z aten_squeeze_copy_dims_118: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_2379, [-1]); quantized_decomposed_dequantize_per_tensor_default_2379 = None 2025-06-05T23:26:40.9314059Z quantized_decomposed_quantize_per_tensor_default_1759: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_118, 0.0002567260235082358, 25603, 0, 65535, torch.int32); aten_squeeze_copy_dims_118 = None 2025-06-05T23:26:40.9314161Z 2025-06-05T23:26:40.9314691Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:37 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-06-05T23:26:40.9315630Z quantized_decomposed_dequantize_per_tensor_default_2380: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1759, 0.0002567260235082358, 25603, 0, 65535, torch.int32) 2025-06-05T23:26:40.9316813Z quantized_decomposed_dequantize_per_tensor_default_2381: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1759, 0.0002567260235082358, 25603, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1759 = None 2025-06-05T23:26:40.9317577Z aten_sigmoid_default_10: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_sigmoid_default(quantized_decomposed_dequantize_per_tensor_default_2381); quantized_decomposed_dequantize_per_tensor_default_2381 = None 2025-06-05T23:26:40.9318487Z quantized_decomposed_quantize_per_tensor_default_1760: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sigmoid_default_10, 1.52587890625e-05, 0, 0, 65535, torch.int32); aten_sigmoid_default_10 = None 2025-06-05T23:26:40.9319636Z quantized_decomposed_dequantize_per_tensor_default_2382: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1760, 1.52587890625e-05, 0, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1760 = None 2025-06-05T23:26:40.9320795Z aten_mul_tensor_163: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2380, quantized_decomposed_dequantize_per_tensor_default_2382); quantized_decomposed_dequantize_per_tensor_default_2380 = quantized_decomposed_dequantize_per_tensor_default_2382 = None 2025-06-05T23:26:40.9321687Z quantized_decomposed_quantize_per_tensor_default_1761: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_163, 0.00016067380784079432, 1733, 0, 65535, torch.int32); aten_mul_tensor_163 = None 2025-06-05T23:26:40.9322869Z quantized_decomposed_dequantize_per_tensor_default_2383: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1761, 0.00016067380784079432, 1733, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1761 = None 2025-06-05T23:26:40.9322948Z 2025-06-05T23:26:40.9323511Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.9324335Z aten_unsqueeze_copy_default_119: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2374, -1); quantized_decomposed_dequantize_per_tensor_default_2374 = None 2025-06-05T23:26:40.9325347Z quantized_decomposed_quantize_per_tensor_default_1762: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_119, 0.0005783338565379381, 21200, 0, 65535, torch.int32); aten_unsqueeze_copy_default_119 = None 2025-06-05T23:26:40.9325424Z 2025-06-05T23:26:40.9325827Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.9327041Z quantized_decomposed_dequantize_per_tensor_default_2384: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1762, 0.0005783338565379381, 21200, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1762 = None 2025-06-05T23:26:40.9327851Z aten_permute_copy_default_447: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2384, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2384 = None 2025-06-05T23:26:40.9328804Z quantized_decomposed_quantize_per_tensor_default_1763: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_447, 0.0005783338565379381, 21200, 0, 65535, torch.int32); aten_permute_copy_default_447 = None 2025-06-05T23:26:40.9328898Z 2025-06-05T23:26:40.9329263Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.9330435Z quantized_decomposed_dequantize_per_tensor_default_2385: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1763, 0.0005783338565379381, 21200, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1763 = None 2025-06-05T23:26:40.9331800Z aten_convolution_default_75: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_2385, quantized_decomposed_dequantize_per_tensor_default_98, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_2385 = quantized_decomposed_dequantize_per_tensor_default_98 = None 2025-06-05T23:26:40.9332756Z quantized_decomposed_quantize_per_tensor_default_1764: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_75, 0.00028021426987834275, 27530, 0, 65535, torch.int32); aten_convolution_default_75 = None 2025-06-05T23:26:40.9332851Z 2025-06-05T23:26:40.9333272Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.9334455Z quantized_decomposed_dequantize_per_tensor_default_2386: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1764, 0.00028021426987834275, 27530, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1764 = None 2025-06-05T23:26:40.9335278Z aten_permute_copy_default_448: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2386, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2386 = None 2025-06-05T23:26:40.9336265Z quantized_decomposed_quantize_per_tensor_default_1765: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_448, 0.00028021426987834275, 27530, 0, 65535, torch.int32); aten_permute_copy_default_448 = None 2025-06-05T23:26:40.9336413Z 2025-06-05T23:26:40.9336957Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.9338147Z quantized_decomposed_dequantize_per_tensor_default_2387: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1765, 0.00028021426987834275, 27530, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1765 = None 2025-06-05T23:26:40.9338957Z aten_squeeze_copy_dims_119: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_2387, [-1]); quantized_decomposed_dequantize_per_tensor_default_2387 = None 2025-06-05T23:26:40.9339894Z quantized_decomposed_quantize_per_tensor_default_1766: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_119, 0.00028021426987834275, 27530, 0, 65535, torch.int32); aten_squeeze_copy_dims_119 = None 2025-06-05T23:26:40.9339972Z 2025-06-05T23:26:40.9340503Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:37 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-06-05T23:26:40.9341687Z quantized_decomposed_dequantize_per_tensor_default_2388: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1766, 0.00028021426987834275, 27530, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1766 = None 2025-06-05T23:26:40.9342859Z aten_mul_tensor_164: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2383, quantized_decomposed_dequantize_per_tensor_default_2388); quantized_decomposed_dequantize_per_tensor_default_2383 = quantized_decomposed_dequantize_per_tensor_default_2388 = None 2025-06-05T23:26:40.9343763Z quantized_decomposed_quantize_per_tensor_default_1767: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_164, 0.0008850086014717817, 31787, 0, 65535, torch.int32); aten_mul_tensor_164 = None 2025-06-05T23:26:40.9343839Z 2025-06-05T23:26:40.9344372Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.9345547Z quantized_decomposed_dequantize_per_tensor_default_2389: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1767, 0.0008850086014717817, 31787, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1767 = None 2025-06-05T23:26:40.9346369Z aten_unsqueeze_copy_default_120: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2389, -1); quantized_decomposed_dequantize_per_tensor_default_2389 = None 2025-06-05T23:26:40.9347347Z quantized_decomposed_quantize_per_tensor_default_1768: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_120, 0.0008850086014717817, 31787, 0, 65535, torch.int32); aten_unsqueeze_copy_default_120 = None 2025-06-05T23:26:40.9347425Z 2025-06-05T23:26:40.9347875Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.9349074Z quantized_decomposed_dequantize_per_tensor_default_2390: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1768, 0.0008850086014717817, 31787, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1768 = None 2025-06-05T23:26:40.9349885Z aten_permute_copy_default_449: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2390, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2390 = None 2025-06-05T23:26:40.9350925Z quantized_decomposed_quantize_per_tensor_default_1769: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_449, 0.0008850086014717817, 31787, 0, 65535, torch.int32); aten_permute_copy_default_449 = None 2025-06-05T23:26:40.9351038Z 2025-06-05T23:26:40.9351403Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.9352595Z quantized_decomposed_dequantize_per_tensor_default_2391: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1769, 0.0008850086014717817, 31787, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1769 = None 2025-06-05T23:26:40.9353901Z aten_convolution_default_76: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_2391, quantized_decomposed_dequantize_per_tensor_default_99, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_2391 = quantized_decomposed_dequantize_per_tensor_default_99 = None 2025-06-05T23:26:40.9354862Z quantized_decomposed_quantize_per_tensor_default_1770: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_76, 0.0007228487520478666, 44000, 0, 65535, torch.int32); aten_convolution_default_76 = None 2025-06-05T23:26:40.9354939Z 2025-06-05T23:26:40.9355383Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.9356562Z quantized_decomposed_dequantize_per_tensor_default_2392: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1770, 0.0007228487520478666, 44000, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1770 = None 2025-06-05T23:26:40.9357370Z aten_permute_copy_default_450: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2392, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2392 = None 2025-06-05T23:26:40.9358339Z quantized_decomposed_quantize_per_tensor_default_1771: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_450, 0.0007228487520478666, 44000, 0, 65535, torch.int32); aten_permute_copy_default_450 = None 2025-06-05T23:26:40.9358414Z 2025-06-05T23:26:40.9358951Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.9360164Z quantized_decomposed_dequantize_per_tensor_default_2393: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1771, 0.0007228487520478666, 44000, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1771 = None 2025-06-05T23:26:40.9360955Z aten_squeeze_copy_dims_120: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_2393, [-1]); quantized_decomposed_dequantize_per_tensor_default_2393 = None 2025-06-05T23:26:40.9361878Z quantized_decomposed_quantize_per_tensor_default_1772: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_120, 0.0007228487520478666, 44000, 0, 65535, torch.int32); aten_squeeze_copy_dims_120 = None 2025-06-05T23:26:40.9361966Z 2025-06-05T23:26:40.9362476Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:136 in forward, code: out = h + self.feed_forward(self.ffn_norm(h)) 2025-06-05T23:26:40.9363667Z quantized_decomposed_dequantize_per_tensor_default_2394: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1772, 0.0007228487520478666, 44000, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1772 = None 2025-06-05T23:26:40.9364830Z aten_add_tensor_54: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_2372, quantized_decomposed_dequantize_per_tensor_default_2394); quantized_decomposed_dequantize_per_tensor_default_2372 = quantized_decomposed_dequantize_per_tensor_default_2394 = None 2025-06-05T23:26:40.9365691Z quantized_decomposed_quantize_per_tensor_default_1773: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_54, 0.0024239460472017527, 13427, 0, 65535, torch.int32); aten_add_tensor_54 = None 2025-06-05T23:26:40.9365781Z 2025-06-05T23:26:40.9366150Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:132 in forward, code: h = x + h 2025-06-05T23:26:40.9367086Z quantized_decomposed_dequantize_per_tensor_default_2395: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1773, 0.0024239460472017527, 13427, 0, 65535, torch.int32) 2025-06-05T23:26:40.9367196Z 2025-06-05T23:26:40.9367765Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:129 in forward, code: self.attention_norm(x), freqs_cos, freqs_sin, **attn_options 2025-06-05T23:26:40.9368941Z quantized_decomposed_dequantize_per_tensor_default_2396: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1773, 0.0024239460472017527, 13427, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1773 = None 2025-06-05T23:26:40.9369471Z aten_pow_tensor_scalar_22: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(quantized_decomposed_dequantize_per_tensor_default_2396, 2) 2025-06-05T23:26:40.9369931Z aten_mean_dim_22: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_mean_dim(aten_pow_tensor_scalar_22, [2], True); aten_pow_tensor_scalar_22 = None 2025-06-05T23:26:40.9370375Z aten_add_scalar_22: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_add_Scalar(aten_mean_dim_22, 9.999999747378752e-06); aten_mean_dim_22 = None 2025-06-05T23:26:40.9370806Z aten_rsqrt_default_22: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_rsqrt_default(aten_add_scalar_22); aten_add_scalar_22 = None 2025-06-05T23:26:40.9371703Z aten_mul_tensor_165: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2396, aten_rsqrt_default_22); quantized_decomposed_dequantize_per_tensor_default_2396 = aten_rsqrt_default_22 = None 2025-06-05T23:26:40.9372574Z aten_mul_tensor_166: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_165, quantized_decomposed_dequantize_per_tensor_default_100); aten_mul_tensor_165 = quantized_decomposed_dequantize_per_tensor_default_100 = None 2025-06-05T23:26:40.9373702Z quantized_decomposed_quantize_per_tensor_default_1774: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_166, 0.0005588648491539061, 33862, 0, 65535, torch.int32); aten_mul_tensor_166 = None 2025-06-05T23:26:40.9373780Z 2025-06-05T23:26:40.9374318Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.9375331Z quantized_decomposed_dequantize_per_tensor_default_2397: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1774, 0.0005588648491539061, 33862, 0, 65535, torch.int32) 2025-06-05T23:26:40.9376271Z quantized_decomposed_dequantize_per_tensor_default_2398: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1774, 0.0005588648491539061, 33862, 0, 65535, torch.int32) 2025-06-05T23:26:40.9377457Z quantized_decomposed_dequantize_per_tensor_default_2399: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1774, 0.0005588648491539061, 33862, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1774 = None 2025-06-05T23:26:40.9378278Z aten_unsqueeze_copy_default_121: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2399, -1); quantized_decomposed_dequantize_per_tensor_default_2399 = None 2025-06-05T23:26:40.9379300Z quantized_decomposed_quantize_per_tensor_default_1775: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_121, 0.0005588648491539061, 33862, 0, 65535, torch.int32); aten_unsqueeze_copy_default_121 = None 2025-06-05T23:26:40.9379378Z 2025-06-05T23:26:40.9379783Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.9380970Z quantized_decomposed_dequantize_per_tensor_default_2400: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1775, 0.0005588648491539061, 33862, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1775 = None 2025-06-05T23:26:40.9381776Z aten_permute_copy_default_451: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2400, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2400 = None 2025-06-05T23:26:40.9382744Z quantized_decomposed_quantize_per_tensor_default_1776: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_451, 0.0005588648491539061, 33862, 0, 65535, torch.int32); aten_permute_copy_default_451 = None 2025-06-05T23:26:40.9382820Z 2025-06-05T23:26:40.9383182Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.9384409Z quantized_decomposed_dequantize_per_tensor_default_2401: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1776, 0.0005588648491539061, 33862, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1776 = None 2025-06-05T23:26:40.9385762Z aten_convolution_default_77: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_2401, quantized_decomposed_dequantize_per_tensor_default_101, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_2401 = quantized_decomposed_dequantize_per_tensor_default_101 = None 2025-06-05T23:26:40.9386713Z quantized_decomposed_quantize_per_tensor_default_1777: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_77, 0.00039327371632680297, 29965, 0, 65535, torch.int32); aten_convolution_default_77 = None 2025-06-05T23:26:40.9386833Z 2025-06-05T23:26:40.9387255Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.9388445Z quantized_decomposed_dequantize_per_tensor_default_2402: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1777, 0.00039327371632680297, 29965, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1777 = None 2025-06-05T23:26:40.9389249Z aten_permute_copy_default_452: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2402, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2402 = None 2025-06-05T23:26:40.9390205Z quantized_decomposed_quantize_per_tensor_default_1778: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_452, 0.00039327371632680297, 29965, 0, 65535, torch.int32); aten_permute_copy_default_452 = None 2025-06-05T23:26:40.9390298Z 2025-06-05T23:26:40.9390907Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.9392142Z quantized_decomposed_dequantize_per_tensor_default_2403: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1778, 0.00039327371632680297, 29965, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1778 = None 2025-06-05T23:26:40.9392925Z aten_squeeze_copy_dims_121: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_2403, [-1]); quantized_decomposed_dequantize_per_tensor_default_2403 = None 2025-06-05T23:26:40.9393860Z quantized_decomposed_quantize_per_tensor_default_1779: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_121, 0.00039327371632680297, 29965, 0, 65535, torch.int32); aten_squeeze_copy_dims_121 = None 2025-06-05T23:26:40.9393954Z 2025-06-05T23:26:40.9394474Z # File: /pytorch/executorch/examples/models/llama/attention.py:405 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim) 2025-06-05T23:26:40.9395653Z quantized_decomposed_dequantize_per_tensor_default_2404: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1779, 0.00039327371632680297, 29965, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1779 = None 2025-06-05T23:26:40.9395748Z 2025-06-05T23:26:40.9396293Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.9397111Z aten_unsqueeze_copy_default_122: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2398, -1); quantized_decomposed_dequantize_per_tensor_default_2398 = None 2025-06-05T23:26:40.9398128Z quantized_decomposed_quantize_per_tensor_default_1780: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_122, 0.0005588648491539061, 33862, 0, 65535, torch.int32); aten_unsqueeze_copy_default_122 = None 2025-06-05T23:26:40.9398205Z 2025-06-05T23:26:40.9398606Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.9399824Z quantized_decomposed_dequantize_per_tensor_default_2405: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1780, 0.0005588648491539061, 33862, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1780 = None 2025-06-05T23:26:40.9400634Z aten_permute_copy_default_453: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2405, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2405 = None 2025-06-05T23:26:40.9401594Z quantized_decomposed_quantize_per_tensor_default_1781: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_453, 0.0005588648491539061, 33862, 0, 65535, torch.int32); aten_permute_copy_default_453 = None 2025-06-05T23:26:40.9401671Z 2025-06-05T23:26:40.9402031Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.9403213Z quantized_decomposed_dequantize_per_tensor_default_2406: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1781, 0.0005588648491539061, 33862, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1781 = None 2025-06-05T23:26:40.9404541Z aten_convolution_default_78: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_2406, quantized_decomposed_dequantize_per_tensor_default_102, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_2406 = quantized_decomposed_dequantize_per_tensor_default_102 = None 2025-06-05T23:26:40.9405501Z quantized_decomposed_quantize_per_tensor_default_1782: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_78, 0.0004171783511992544, 32679, 0, 65535, torch.int32); aten_convolution_default_78 = None 2025-06-05T23:26:40.9405577Z 2025-06-05T23:26:40.9405997Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.9407192Z quantized_decomposed_dequantize_per_tensor_default_2407: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1782, 0.0004171783511992544, 32679, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1782 = None 2025-06-05T23:26:40.9407995Z aten_permute_copy_default_454: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2407, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2407 = None 2025-06-05T23:26:40.9408969Z quantized_decomposed_quantize_per_tensor_default_1783: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_454, 0.0004171783511992544, 32679, 0, 65535, torch.int32); aten_permute_copy_default_454 = None 2025-06-05T23:26:40.9409082Z 2025-06-05T23:26:40.9409626Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.9410803Z quantized_decomposed_dequantize_per_tensor_default_2408: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1783, 0.0004171783511992544, 32679, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1783 = None 2025-06-05T23:26:40.9411607Z aten_squeeze_copy_dims_122: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_2408, [-1]); quantized_decomposed_dequantize_per_tensor_default_2408 = None 2025-06-05T23:26:40.9412543Z quantized_decomposed_quantize_per_tensor_default_1784: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_122, 0.0004171783511992544, 32679, 0, 65535, torch.int32); aten_squeeze_copy_dims_122 = None 2025-06-05T23:26:40.9412632Z 2025-06-05T23:26:40.9413158Z # File: /pytorch/executorch/examples/models/llama/attention.py:406 in forward, code: k = k.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim) 2025-06-05T23:26:40.9414579Z quantized_decomposed_dequantize_per_tensor_default_2409: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1784, 0.0004171783511992544, 32679, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1784 = None 2025-06-05T23:26:40.9414674Z 2025-06-05T23:26:40.9415195Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.9416046Z aten_unsqueeze_copy_default_123: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2397, -1); quantized_decomposed_dequantize_per_tensor_default_2397 = None 2025-06-05T23:26:40.9417020Z quantized_decomposed_quantize_per_tensor_default_1785: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_123, 0.0005588648491539061, 33862, 0, 65535, torch.int32); aten_unsqueeze_copy_default_123 = None 2025-06-05T23:26:40.9417098Z 2025-06-05T23:26:40.9417502Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.9418681Z quantized_decomposed_dequantize_per_tensor_default_2410: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1785, 0.0005588648491539061, 33862, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1785 = None 2025-06-05T23:26:40.9419492Z aten_permute_copy_default_455: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2410, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2410 = None 2025-06-05T23:26:40.9420480Z quantized_decomposed_quantize_per_tensor_default_1786: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_455, 0.0005588648491539061, 33862, 0, 65535, torch.int32); aten_permute_copy_default_455 = None 2025-06-05T23:26:40.9420558Z 2025-06-05T23:26:40.9420918Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.9422133Z quantized_decomposed_dequantize_per_tensor_default_2411: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1786, 0.0005588648491539061, 33862, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1786 = None 2025-06-05T23:26:40.9423434Z aten_convolution_default_79: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_2411, quantized_decomposed_dequantize_per_tensor_default_103, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_2411 = quantized_decomposed_dequantize_per_tensor_default_103 = None 2025-06-05T23:26:40.9424416Z quantized_decomposed_quantize_per_tensor_default_1787: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_79, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_convolution_default_79 = None 2025-06-05T23:26:40.9424495Z 2025-06-05T23:26:40.9424916Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.9426085Z quantized_decomposed_dequantize_per_tensor_default_2412: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1787, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1787 = None 2025-06-05T23:26:40.9426893Z aten_permute_copy_default_456: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2412, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2412 = None 2025-06-05T23:26:40.9427878Z quantized_decomposed_quantize_per_tensor_default_1788: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_456, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_permute_copy_default_456 = None 2025-06-05T23:26:40.9427967Z 2025-06-05T23:26:40.9428507Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.9429683Z quantized_decomposed_dequantize_per_tensor_default_2413: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1788, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1788 = None 2025-06-05T23:26:40.9430470Z aten_squeeze_copy_dims_123: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_2413, [-1]); quantized_decomposed_dequantize_per_tensor_default_2413 = None 2025-06-05T23:26:40.9431472Z quantized_decomposed_quantize_per_tensor_default_1789: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_123, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_squeeze_copy_dims_123 = None 2025-06-05T23:26:40.9431562Z 2025-06-05T23:26:40.9432089Z # File: /pytorch/executorch/examples/models/llama/attention.py:407 in forward, code: v = v.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim) 2025-06-05T23:26:40.9433292Z quantized_decomposed_dequantize_per_tensor_default_2414: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1789, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1789 = None 2025-06-05T23:26:40.9433410Z 2025-06-05T23:26:40.9433928Z # File: /pytorch/executorch/examples/models/llama/attention.py:405 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim) 2025-06-05T23:26:40.9434705Z aten_view_copy_default_198: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2404, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_2404 = None 2025-06-05T23:26:40.9435644Z quantized_decomposed_quantize_per_tensor_default_1790: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_198, 0.00039327371632680297, 29965, 0, 65535, torch.int32); aten_view_copy_default_198 = None 2025-06-05T23:26:40.9435764Z 2025-06-05T23:26:40.9436293Z # File: /pytorch/executorch/examples/models/llama/rope.py:84 in apply_rotary_emb, code: xq_r, xq_i = xq.float().reshape(xq.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.9437489Z quantized_decomposed_dequantize_per_tensor_default_2415: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1790, 0.00039327371632680297, 29965, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1790 = None 2025-06-05T23:26:40.9437565Z 2025-06-05T23:26:40.9438101Z # File: /pytorch/executorch/examples/models/llama/attention.py:406 in forward, code: k = k.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim) 2025-06-05T23:26:40.9438884Z aten_view_copy_default_199: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2409, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_2409 = None 2025-06-05T23:26:40.9439834Z quantized_decomposed_quantize_per_tensor_default_1791: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_199, 0.0004171783511992544, 32679, 0, 65535, torch.int32); aten_view_copy_default_199 = None 2025-06-05T23:26:40.9439924Z 2025-06-05T23:26:40.9440448Z # File: /pytorch/executorch/examples/models/llama/rope.py:85 in apply_rotary_emb, code: xk_r, xk_i = xk.float().reshape(xk.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.9441626Z quantized_decomposed_dequantize_per_tensor_default_2416: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1791, 0.0004171783511992544, 32679, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1791 = None 2025-06-05T23:26:40.9441721Z 2025-06-05T23:26:40.9442242Z # File: /pytorch/executorch/examples/models/llama/attention.py:407 in forward, code: v = v.view(bsz, seqlen, self.n_local_kv_heads, self.head_dim) 2025-06-05T23:26:40.9443023Z aten_view_copy_default_200: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2414, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_2414 = None 2025-06-05T23:26:40.9443959Z quantized_decomposed_quantize_per_tensor_default_1792: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_200, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_view_copy_default_200 = None 2025-06-05T23:26:40.9444036Z 2025-06-05T23:26:40.9444740Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:511 in update, code: v_out = torch.ops.aten.index_put_(self.past_v_caches, [None, input_pos], v_val) 2025-06-05T23:26:40.9445952Z quantized_decomposed_dequantize_per_tensor_default_2417: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1792, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1792 = None 2025-06-05T23:26:40.9446026Z 2025-06-05T23:26:40.9446563Z # File: /pytorch/executorch/examples/models/llama/rope.py:84 in apply_rotary_emb, code: xq_r, xq_i = xq.float().reshape(xq.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.9447381Z aten_view_copy_default_201: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2415, [1, 1, 12, -1, 2]); quantized_decomposed_dequantize_per_tensor_default_2415 = None 2025-06-05T23:26:40.9448305Z quantized_decomposed_quantize_per_tensor_default_1793: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_201, 0.00039327371632680297, 29965, 0, 65535, torch.int32); aten_view_copy_default_201 = None 2025-06-05T23:26:40.9449509Z quantized_decomposed_dequantize_per_tensor_default_2418: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1793, 0.00039327371632680297, 29965, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1793 = None 2025-06-05T23:26:40.9450046Z aten_slice_copy_tensor_44: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_2418, 4, 0, 1) 2025-06-05T23:26:40.9450825Z aten_slice_copy_tensor_45: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_2418, 4, 1, 2); quantized_decomposed_dequantize_per_tensor_default_2418 = None 2025-06-05T23:26:40.9451381Z aten_squeeze_copy_dims_124: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_44, [4]); aten_slice_copy_tensor_44 = None 2025-06-05T23:26:40.9451905Z aten_squeeze_copy_dims_125: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_45, [4]); aten_slice_copy_tensor_45 = None 2025-06-05T23:26:40.9452852Z quantized_decomposed_quantize_per_tensor_default_1794: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_124, 0.00039327371632680297, 29965, 0, 65535, torch.int32); aten_squeeze_copy_dims_124 = None 2025-06-05T23:26:40.9452933Z 2025-06-05T23:26:40.9453407Z # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos 2025-06-05T23:26:40.9454365Z quantized_decomposed_dequantize_per_tensor_default_2419: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1794, 0.00039327371632680297, 29965, 0, 65535, torch.int32) 2025-06-05T23:26:40.9454444Z 2025-06-05T23:26:40.9454914Z # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin 2025-06-05T23:26:40.9456133Z quantized_decomposed_dequantize_per_tensor_default_2420: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1794, 0.00039327371632680297, 29965, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1794 = None 2025-06-05T23:26:40.9456213Z 2025-06-05T23:26:40.9456757Z # File: /pytorch/executorch/examples/models/llama/rope.py:84 in apply_rotary_emb, code: xq_r, xq_i = xq.float().reshape(xq.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.9457700Z quantized_decomposed_quantize_per_tensor_default_1795: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_125, 0.00039327371632680297, 29965, 0, 65535, torch.int32); aten_squeeze_copy_dims_125 = None 2025-06-05T23:26:40.9457776Z 2025-06-05T23:26:40.9458247Z # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin 2025-06-05T23:26:40.9459224Z quantized_decomposed_dequantize_per_tensor_default_2421: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1795, 0.00039327371632680297, 29965, 0, 65535, torch.int32) 2025-06-05T23:26:40.9459303Z 2025-06-05T23:26:40.9459786Z # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos 2025-06-05T23:26:40.9460961Z quantized_decomposed_dequantize_per_tensor_default_2422: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1795, 0.00039327371632680297, 29965, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1795 = None 2025-06-05T23:26:40.9461038Z 2025-06-05T23:26:40.9461573Z # File: /pytorch/executorch/examples/models/llama/rope.py:85 in apply_rotary_emb, code: xk_r, xk_i = xk.float().reshape(xk.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.9462364Z aten_view_copy_default_202: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2416, [1, 1, 12, -1, 2]); quantized_decomposed_dequantize_per_tensor_default_2416 = None 2025-06-05T23:26:40.9463319Z quantized_decomposed_quantize_per_tensor_default_1796: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_202, 0.0004171783511992544, 32679, 0, 65535, torch.int32); aten_view_copy_default_202 = None 2025-06-05T23:26:40.9464492Z quantized_decomposed_dequantize_per_tensor_default_2423: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1796, 0.0004171783511992544, 32679, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1796 = None 2025-06-05T23:26:40.9465029Z aten_slice_copy_tensor_46: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_2423, 4, 0, 1) 2025-06-05T23:26:40.9465806Z aten_slice_copy_tensor_47: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_2423, 4, 1, 2); quantized_decomposed_dequantize_per_tensor_default_2423 = None 2025-06-05T23:26:40.9466331Z aten_squeeze_copy_dims_126: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_46, [4]); aten_slice_copy_tensor_46 = None 2025-06-05T23:26:40.9466848Z aten_squeeze_copy_dims_127: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(aten_slice_copy_tensor_47, [4]); aten_slice_copy_tensor_47 = None 2025-06-05T23:26:40.9467806Z quantized_decomposed_quantize_per_tensor_default_1797: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_126, 0.0004171783511992544, 32679, 0, 65535, torch.int32); aten_squeeze_copy_dims_126 = None 2025-06-05T23:26:40.9467927Z 2025-06-05T23:26:40.9468400Z # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos 2025-06-05T23:26:40.9469340Z quantized_decomposed_dequantize_per_tensor_default_2424: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1797, 0.0004171783511992544, 32679, 0, 65535, torch.int32) 2025-06-05T23:26:40.9469417Z 2025-06-05T23:26:40.9469885Z # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin 2025-06-05T23:26:40.9471166Z quantized_decomposed_dequantize_per_tensor_default_2425: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1797, 0.0004171783511992544, 32679, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1797 = None 2025-06-05T23:26:40.9471247Z 2025-06-05T23:26:40.9471767Z # File: /pytorch/executorch/examples/models/llama/rope.py:85 in apply_rotary_emb, code: xk_r, xk_i = xk.float().reshape(xk.shape[:-1] + (-1, 2)).unbind(-1) 2025-06-05T23:26:40.9472915Z quantized_decomposed_quantize_per_tensor_default_1798: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_127, 0.0004171783511992544, 32679, 0, 65535, torch.int32); aten_squeeze_copy_dims_127 = None 2025-06-05T23:26:40.9472997Z 2025-06-05T23:26:40.9473483Z # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin 2025-06-05T23:26:40.9474425Z quantized_decomposed_dequantize_per_tensor_default_2426: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1798, 0.0004171783511992544, 32679, 0, 65535, torch.int32) 2025-06-05T23:26:40.9474503Z 2025-06-05T23:26:40.9475064Z # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos 2025-06-05T23:26:40.9476234Z quantized_decomposed_dequantize_per_tensor_default_2427: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1798, 0.0004171783511992544, 32679, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1798 = None 2025-06-05T23:26:40.9476310Z 2025-06-05T23:26:40.9476759Z # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape) 2025-06-05T23:26:40.9477526Z aten_view_copy_default_203: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_151, [1, 1, 1, 32]); quantized_decomposed_dequantize_per_tensor_default_151 = None 2025-06-05T23:26:40.9478443Z quantized_decomposed_quantize_per_tensor_default_1799: "i32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_203, 3.051804378628731e-05, 32768, 0, 65535, torch.int32); aten_view_copy_default_203 = None 2025-06-05T23:26:40.9478532Z 2025-06-05T23:26:40.9478999Z # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos 2025-06-05T23:26:40.9479966Z quantized_decomposed_dequantize_per_tensor_default_2428: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1799, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-06-05T23:26:40.9480113Z 2025-06-05T23:26:40.9480579Z # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin 2025-06-05T23:26:40.9481506Z quantized_decomposed_dequantize_per_tensor_default_2429: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1799, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-06-05T23:26:40.9481592Z 2025-06-05T23:26:40.9482097Z # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos 2025-06-05T23:26:40.9483024Z quantized_decomposed_dequantize_per_tensor_default_2430: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1799, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-06-05T23:26:40.9483115Z 2025-06-05T23:26:40.9483581Z # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin 2025-06-05T23:26:40.9484747Z quantized_decomposed_dequantize_per_tensor_default_2431: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1799, 3.051804378628731e-05, 32768, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1799 = None 2025-06-05T23:26:40.9484836Z 2025-06-05T23:26:40.9485274Z # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape) 2025-06-05T23:26:40.9486054Z aten_view_copy_default_204: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_163, [1, 1, 1, 32]); quantized_decomposed_dequantize_per_tensor_default_163 = None 2025-06-05T23:26:40.9486997Z quantized_decomposed_quantize_per_tensor_default_1800: "i32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_204, 3.051786916330457e-05, 32767, 0, 65535, torch.int32); aten_view_copy_default_204 = None 2025-06-05T23:26:40.9487073Z 2025-06-05T23:26:40.9487557Z # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin 2025-06-05T23:26:40.9488487Z quantized_decomposed_dequantize_per_tensor_default_2432: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1800, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-06-05T23:26:40.9488564Z 2025-06-05T23:26:40.9489043Z # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos 2025-06-05T23:26:40.9489971Z quantized_decomposed_dequantize_per_tensor_default_2433: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1800, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-06-05T23:26:40.9490047Z 2025-06-05T23:26:40.9490528Z # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin 2025-06-05T23:26:40.9491486Z quantized_decomposed_dequantize_per_tensor_default_2434: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1800, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-06-05T23:26:40.9491585Z 2025-06-05T23:26:40.9492064Z # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos 2025-06-05T23:26:40.9493219Z quantized_decomposed_dequantize_per_tensor_default_2435: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1800, 3.051786916330457e-05, 32767, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1800 = None 2025-06-05T23:26:40.9493296Z 2025-06-05T23:26:40.9493806Z # File: /pytorch/executorch/examples/models/llama/rope.py:90 in apply_rotary_emb, code: xq_out_r = xq_r * freqs_cos - xq_i * freqs_sin 2025-06-05T23:26:40.9494971Z aten_mul_tensor_167: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2420, quantized_decomposed_dequantize_per_tensor_default_2431); quantized_decomposed_dequantize_per_tensor_default_2420 = quantized_decomposed_dequantize_per_tensor_default_2431 = None 2025-06-05T23:26:40.9495857Z quantized_decomposed_quantize_per_tensor_default_1801: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_167, 0.0003908620565198362, 30132, 0, 65535, torch.int32); aten_mul_tensor_167 = None 2025-06-05T23:26:40.9497021Z quantized_decomposed_dequantize_per_tensor_default_2436: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1801, 0.0003908620565198362, 30132, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1801 = None 2025-06-05T23:26:40.9498168Z aten_mul_tensor_168: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2421, quantized_decomposed_dequantize_per_tensor_default_2434); quantized_decomposed_dequantize_per_tensor_default_2421 = quantized_decomposed_dequantize_per_tensor_default_2434 = None 2025-06-05T23:26:40.9499079Z quantized_decomposed_quantize_per_tensor_default_1802: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_168, 0.00015990187239367515, 32711, 0, 65535, torch.int32); aten_mul_tensor_168 = None 2025-06-05T23:26:40.9500248Z quantized_decomposed_dequantize_per_tensor_default_2437: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1802, 0.00015990187239367515, 32711, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1802 = None 2025-06-05T23:26:40.9501403Z aten_sub_tensor_22: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(quantized_decomposed_dequantize_per_tensor_default_2436, quantized_decomposed_dequantize_per_tensor_default_2437); quantized_decomposed_dequantize_per_tensor_default_2436 = quantized_decomposed_dequantize_per_tensor_default_2437 = None 2025-06-05T23:26:40.9502268Z quantized_decomposed_quantize_per_tensor_default_1803: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sub_tensor_22, 0.0003872470697388053, 30395, 0, 65535, torch.int32); aten_sub_tensor_22 = None 2025-06-05T23:26:40.9502345Z 2025-06-05T23:26:40.9503335Z # File: .74:6262 in forward, code: dequantize_per_tensor_default_1963 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1963, 0.0003872470697388053, 30395, 0, 65535, torch.int32); quantize_per_tensor_default_1963 = None 2025-06-05T23:26:40.9504517Z quantized_decomposed_dequantize_per_tensor_default_2438: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1803, 0.0003872470697388053, 30395, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1803 = None 2025-06-05T23:26:40.9504637Z 2025-06-05T23:26:40.9505109Z # File: /pytorch/executorch/examples/models/llama/rope.py:91 in apply_rotary_emb, code: xq_out_i = xq_r * freqs_sin + xq_i * freqs_cos 2025-06-05T23:26:40.9506258Z aten_mul_tensor_169: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2419, quantized_decomposed_dequantize_per_tensor_default_2435); quantized_decomposed_dequantize_per_tensor_default_2419 = quantized_decomposed_dequantize_per_tensor_default_2435 = None 2025-06-05T23:26:40.9507168Z quantized_decomposed_quantize_per_tensor_default_1804: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_169, 0.00018527904467191547, 30845, 0, 65535, torch.int32); aten_mul_tensor_169 = None 2025-06-05T23:26:40.9508337Z quantized_decomposed_dequantize_per_tensor_default_2439: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1804, 0.00018527904467191547, 30845, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1804 = None 2025-06-05T23:26:40.9509497Z aten_mul_tensor_170: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2422, quantized_decomposed_dequantize_per_tensor_default_2430); quantized_decomposed_dequantize_per_tensor_default_2422 = quantized_decomposed_dequantize_per_tensor_default_2430 = None 2025-06-05T23:26:40.9510370Z quantized_decomposed_quantize_per_tensor_default_1805: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_170, 0.00033935264218598604, 30930, 0, 65535, torch.int32); aten_mul_tensor_170 = None 2025-06-05T23:26:40.9511643Z quantized_decomposed_dequantize_per_tensor_default_2440: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1805, 0.00033935264218598604, 30930, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1805 = None 2025-06-05T23:26:40.9512803Z aten_add_tensor_55: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_2439, quantized_decomposed_dequantize_per_tensor_default_2440); quantized_decomposed_dequantize_per_tensor_default_2439 = quantized_decomposed_dequantize_per_tensor_default_2440 = None 2025-06-05T23:26:40.9513666Z quantized_decomposed_quantize_per_tensor_default_1806: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_55, 0.0003872470697388053, 30395, 0, 65535, torch.int32); aten_add_tensor_55 = None 2025-06-05T23:26:40.9513760Z 2025-06-05T23:26:40.9514722Z # File: .74:6271 in forward, code: dequantize_per_tensor_default_1966 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1966, 0.0003872470697388053, 30395, 0, 65535, torch.int32); quantize_per_tensor_default_1966 = None 2025-06-05T23:26:40.9515913Z quantized_decomposed_dequantize_per_tensor_default_2441: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1806, 0.0003872470697388053, 30395, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1806 = None 2025-06-05T23:26:40.9516007Z 2025-06-05T23:26:40.9516510Z # File: /pytorch/executorch/examples/models/llama/rope.py:92 in apply_rotary_emb, code: xk_out_r = xk_r * freqs_cos - xk_i * freqs_sin 2025-06-05T23:26:40.9517659Z aten_mul_tensor_171: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2425, quantized_decomposed_dequantize_per_tensor_default_2429); quantized_decomposed_dequantize_per_tensor_default_2425 = quantized_decomposed_dequantize_per_tensor_default_2429 = None 2025-06-05T23:26:40.9518546Z quantized_decomposed_quantize_per_tensor_default_1807: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_171, 0.0003779088146984577, 32871, 0, 65535, torch.int32); aten_mul_tensor_171 = None 2025-06-05T23:26:40.9519739Z quantized_decomposed_dequantize_per_tensor_default_2442: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1807, 0.0003779088146984577, 32871, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1807 = None 2025-06-05T23:26:40.9520903Z aten_mul_tensor_172: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2426, quantized_decomposed_dequantize_per_tensor_default_2432); quantized_decomposed_dequantize_per_tensor_default_2426 = quantized_decomposed_dequantize_per_tensor_default_2432 = None 2025-06-05T23:26:40.9521773Z quantized_decomposed_quantize_per_tensor_default_1808: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_172, 0.00018996265134774148, 34253, 0, 65535, torch.int32); aten_mul_tensor_172 = None 2025-06-05T23:26:40.9522956Z quantized_decomposed_dequantize_per_tensor_default_2443: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1808, 0.00018996265134774148, 34253, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1808 = None 2025-06-05T23:26:40.9524128Z aten_sub_tensor_23: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(quantized_decomposed_dequantize_per_tensor_default_2442, quantized_decomposed_dequantize_per_tensor_default_2443); quantized_decomposed_dequantize_per_tensor_default_2442 = quantized_decomposed_dequantize_per_tensor_default_2443 = None 2025-06-05T23:26:40.9524992Z quantized_decomposed_quantize_per_tensor_default_1809: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sub_tensor_23, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_sub_tensor_23 = None 2025-06-05T23:26:40.9525083Z 2025-06-05T23:26:40.9526033Z # File: .74:6280 in forward, code: dequantize_per_tensor_default_1969 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1969, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantize_per_tensor_default_1969 = None 2025-06-05T23:26:40.9527216Z quantized_decomposed_dequantize_per_tensor_default_2444: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1809, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1809 = None 2025-06-05T23:26:40.9527292Z 2025-06-05T23:26:40.9527761Z # File: /pytorch/executorch/examples/models/llama/rope.py:93 in apply_rotary_emb, code: xk_out_i = xk_r * freqs_sin + xk_i * freqs_cos 2025-06-05T23:26:40.9528980Z aten_mul_tensor_173: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2424, quantized_decomposed_dequantize_per_tensor_default_2433); quantized_decomposed_dequantize_per_tensor_default_2424 = quantized_decomposed_dequantize_per_tensor_default_2433 = None 2025-06-05T23:26:40.9529883Z quantized_decomposed_quantize_per_tensor_default_1810: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_173, 0.00015066901687532663, 31607, 0, 65535, torch.int32); aten_mul_tensor_173 = None 2025-06-05T23:26:40.9531059Z quantized_decomposed_dequantize_per_tensor_default_2445: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1810, 0.00015066901687532663, 31607, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1810 = None 2025-06-05T23:26:40.9532238Z aten_mul_tensor_174: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2427, quantized_decomposed_dequantize_per_tensor_default_2428); quantized_decomposed_dequantize_per_tensor_default_2427 = quantized_decomposed_dequantize_per_tensor_default_2428 = None 2025-06-05T23:26:40.9533109Z quantized_decomposed_quantize_per_tensor_default_1811: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_174, 0.00040073951822705567, 32950, 0, 65535, torch.int32); aten_mul_tensor_174 = None 2025-06-05T23:26:40.9534287Z quantized_decomposed_dequantize_per_tensor_default_2446: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1811, 0.00040073951822705567, 32950, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1811 = None 2025-06-05T23:26:40.9535434Z aten_add_tensor_56: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_2445, quantized_decomposed_dequantize_per_tensor_default_2446); quantized_decomposed_dequantize_per_tensor_default_2445 = quantized_decomposed_dequantize_per_tensor_default_2446 = None 2025-06-05T23:26:40.9536327Z quantized_decomposed_quantize_per_tensor_default_1812: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_56, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_add_tensor_56 = None 2025-06-05T23:26:40.9536404Z 2025-06-05T23:26:40.9537361Z # File: .74:6289 in forward, code: dequantize_per_tensor_default_1972 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1972, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantize_per_tensor_default_1972 = None 2025-06-05T23:26:40.9538551Z quantized_decomposed_dequantize_per_tensor_default_2447: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1812, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1812 = None 2025-06-05T23:26:40.9538629Z 2025-06-05T23:26:40.9539150Z # File: /pytorch/executorch/examples/models/llama/rope.py:95 in apply_rotary_emb, code: xq_out = torch.stack([xq_out_r, xq_out_i], dim=-1).flatten(3) 2025-06-05T23:26:40.9539979Z aten_unsqueeze_copy_default_124: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2438, 4); quantized_decomposed_dequantize_per_tensor_default_2438 = None 2025-06-05T23:26:40.9540805Z aten_unsqueeze_copy_default_125: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2441, 4); quantized_decomposed_dequantize_per_tensor_default_2441 = None 2025-06-05T23:26:40.9541597Z aten_cat_default_44: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_unsqueeze_copy_default_124, aten_unsqueeze_copy_default_125], -1); aten_unsqueeze_copy_default_124 = aten_unsqueeze_copy_default_125 = None 2025-06-05T23:26:40.9542462Z quantized_decomposed_quantize_per_tensor_default_1813: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_44, 0.0003872470697388053, 30395, 0, 65535, torch.int32); aten_cat_default_44 = None 2025-06-05T23:26:40.9543624Z quantized_decomposed_dequantize_per_tensor_default_2448: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1813, 0.0003872470697388053, 30395, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1813 = None 2025-06-05T23:26:40.9544438Z aten_view_copy_default_205: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2448, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_2448 = None 2025-06-05T23:26:40.9545361Z quantized_decomposed_quantize_per_tensor_default_1814: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_205, 0.0003872470697388053, 30395, 0, 65535, torch.int32); aten_view_copy_default_205 = None 2025-06-05T23:26:40.9545453Z 2025-06-05T23:26:40.9546406Z # File: .74:6295 in forward, code: dequantize_per_tensor_default_1974 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1974, 0.0003872470697388053, 30395, 0, 65535, torch.int32); quantize_per_tensor_default_1974 = None 2025-06-05T23:26:40.9547577Z quantized_decomposed_dequantize_per_tensor_default_2449: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1814, 0.0003872470697388053, 30395, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1814 = None 2025-06-05T23:26:40.9547694Z 2025-06-05T23:26:40.9548216Z # File: /pytorch/executorch/examples/models/llama/rope.py:96 in apply_rotary_emb, code: xk_out = torch.stack([xk_out_r, xk_out_i], dim=-1).flatten(3) 2025-06-05T23:26:40.9549030Z aten_unsqueeze_copy_default_126: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2444, 4); quantized_decomposed_dequantize_per_tensor_default_2444 = None 2025-06-05T23:26:40.9549848Z aten_unsqueeze_copy_default_127: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2447, 4); quantized_decomposed_dequantize_per_tensor_default_2447 = None 2025-06-05T23:26:40.9550608Z aten_cat_default_45: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_unsqueeze_copy_default_126, aten_unsqueeze_copy_default_127], -1); aten_unsqueeze_copy_default_126 = aten_unsqueeze_copy_default_127 = None 2025-06-05T23:26:40.9551564Z quantized_decomposed_quantize_per_tensor_default_1815: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_45, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_cat_default_45 = None 2025-06-05T23:26:40.9552765Z quantized_decomposed_dequantize_per_tensor_default_2450: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1815, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1815 = None 2025-06-05T23:26:40.9553563Z aten_view_copy_default_206: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2450, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_2450 = None 2025-06-05T23:26:40.9554498Z quantized_decomposed_quantize_per_tensor_default_1816: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_206, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_view_copy_default_206 = None 2025-06-05T23:26:40.9554574Z 2025-06-05T23:26:40.9555560Z # File: .74:6301 in forward, code: dequantize_per_tensor_default_1976 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1976, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantize_per_tensor_default_1976 = None 2025-06-05T23:26:40.9556737Z quantized_decomposed_dequantize_per_tensor_default_2451: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1816, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1816 = None 2025-06-05T23:26:40.9556812Z 2025-06-05T23:26:40.9557589Z # File: .74:6303 in forward, code: quantize_per_tensor_default_1977 = torch.ops.quantized_decomposed.quantize_per_tensor.default(type_as_22, 0.0003872470697388053, 30395, 0, 65535, torch.int32); type_as_22 = None 2025-06-05T23:26:40.9558756Z quantized_decomposed_quantize_per_tensor_default_1817: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_2449, 0.0003872470697388053, 30395, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_2449 = None 2025-06-05T23:26:40.9558834Z 2025-06-05T23:26:40.9559373Z # File: /pytorch/executorch/examples/models/llama/attention.py:416 in forward, code: q = q.transpose(1, 2) # (bs, n_local_heads, seqlen, head_dim) 2025-06-05T23:26:40.9560566Z quantized_decomposed_dequantize_per_tensor_default_2452: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1817, 0.0003872470697388053, 30395, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1817 = None 2025-06-05T23:26:40.9560659Z 2025-06-05T23:26:40.9561424Z # File: .74:6306 in forward, code: quantize_per_tensor_default_1978 = torch.ops.quantized_decomposed.quantize_per_tensor.default(type_as_23, 0.0004016910679638386, 33587, 0, 65535, torch.int32); type_as_23 = None 2025-06-05T23:26:40.9562589Z quantized_decomposed_quantize_per_tensor_default_1818: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_2451, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_2451 = None 2025-06-05T23:26:40.9562682Z 2025-06-05T23:26:40.9563355Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:510 in update, code: k_out = torch.ops.aten.index_put_(self.past_k_caches, [None, input_pos], k_val) 2025-06-05T23:26:40.9564574Z quantized_decomposed_dequantize_per_tensor_default_2453: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1818, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1818 = None 2025-06-05T23:26:40.9564665Z 2025-06-05T23:26:40.9565215Z # File: /pytorch/executorch/examples/models/llama/attention.py:416 in forward, code: q = q.transpose(1, 2) # (bs, n_local_heads, seqlen, head_dim) 2025-06-05T23:26:40.9566024Z aten_permute_copy_default_457: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2452, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2452 = None 2025-06-05T23:26:40.9566995Z quantized_decomposed_quantize_per_tensor_default_1819: "i32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_457, 0.0003872470697388053, 30395, 0, 65535, torch.int32); aten_permute_copy_default_457 = None 2025-06-05T23:26:40.9567097Z 2025-06-05T23:26:40.9567676Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:324 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-06-05T23:26:40.9568860Z quantized_decomposed_dequantize_per_tensor_default_2454: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1819, 0.0003872470697388053, 30395, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1819 = None 2025-06-05T23:26:40.9568937Z 2025-06-05T23:26:40.9569382Z # File: /pytorch/executorch/examples/models/llama/attention.py:435 in forward, code: attn_mask = self.mask[input_pos] 2025-06-05T23:26:40.9570179Z aten_index_tensor_13: "f32[1, 128]" = executorch_exir_dialects_edge__ops_aten_index_Tensor(quantized_decomposed_dequantize_per_tensor_default_146, [attn_options_input_pos]); quantized_decomposed_dequantize_per_tensor_default_146 = None 2025-06-05T23:26:40.9571066Z quantized_decomposed_quantize_per_tensor_default_1820: "i32[1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_tensor_13, 0.0038910505827516317, 65535, 0, 65535, torch.int32); aten_index_tensor_13 = None 2025-06-05T23:26:40.9571158Z 2025-06-05T23:26:40.9571672Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:325 in forward, code: attn_weight += attn_mask 2025-06-05T23:26:40.9573040Z quantized_decomposed_dequantize_per_tensor_default_2455: "f32[1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1820, 0.0038910505827516317, 65535, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1820 = None 2025-06-05T23:26:40.9573134Z 2025-06-05T23:26:40.9573810Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:510 in update, code: k_out = torch.ops.aten.index_put_(self.past_k_caches, [None, input_pos], k_val) 2025-06-05T23:26:40.9581097Z aten_index_put_default_22: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(quantized_decomposed_dequantize_per_tensor_default_147, [None, attn_options_input_pos], quantized_decomposed_dequantize_per_tensor_default_2453); quantized_decomposed_dequantize_per_tensor_default_147 = quantized_decomposed_dequantize_per_tensor_default_2453 = None 2025-06-05T23:26:40.9582089Z quantized_decomposed_quantize_per_tensor_default_1821: "i32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_put_default_22, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_index_put_default_22 = None 2025-06-05T23:26:40.9582190Z 2025-06-05T23:26:40.9583127Z # File: .74:6316 in forward, code: dequantize_per_tensor_default_1981 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1981, 0.0004016910679638386, 33587, 0, 65535, torch.int32) 2025-06-05T23:26:40.9584119Z quantized_decomposed_dequantize_per_tensor_default_2456: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1821, 0.0004016910679638386, 33587, 0, 65535, torch.int32) 2025-06-05T23:26:40.9584219Z 2025-06-05T23:26:40.9584871Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.9585817Z quantized_decomposed_dequantize_per_tensor_default_2457: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1821, 0.0004016910679638386, 33587, 0, 65535, torch.int32) 2025-06-05T23:26:40.9586815Z quantized_decomposed_dequantize_per_tensor_default_2458: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1821, 0.0004016910679638386, 33587, 0, 65535, torch.int32) 2025-06-05T23:26:40.9587761Z quantized_decomposed_dequantize_per_tensor_default_2459: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1821, 0.0004016910679638386, 33587, 0, 65535, torch.int32) 2025-06-05T23:26:40.9588715Z quantized_decomposed_dequantize_per_tensor_default_2460: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1821, 0.0004016910679638386, 33587, 0, 65535, torch.int32) 2025-06-05T23:26:40.9589661Z quantized_decomposed_dequantize_per_tensor_default_2461: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1821, 0.0004016910679638386, 33587, 0, 65535, torch.int32) 2025-06-05T23:26:40.9590651Z quantized_decomposed_dequantize_per_tensor_default_2462: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1821, 0.0004016910679638386, 33587, 0, 65535, torch.int32) 2025-06-05T23:26:40.9591674Z quantized_decomposed_dequantize_per_tensor_default_2463: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1821, 0.0004016910679638386, 33587, 0, 65535, torch.int32) 2025-06-05T23:26:40.9592597Z quantized_decomposed_dequantize_per_tensor_default_2464: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1821, 0.0004016910679638386, 33587, 0, 65535, torch.int32) 2025-06-05T23:26:40.9593550Z quantized_decomposed_dequantize_per_tensor_default_2465: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1821, 0.0004016910679638386, 33587, 0, 65535, torch.int32) 2025-06-05T23:26:40.9594487Z quantized_decomposed_dequantize_per_tensor_default_2466: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1821, 0.0004016910679638386, 33587, 0, 65535, torch.int32) 2025-06-05T23:26:40.9595462Z quantized_decomposed_dequantize_per_tensor_default_2467: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1821, 0.0004016910679638386, 33587, 0, 65535, torch.int32) 2025-06-05T23:26:40.9596648Z quantized_decomposed_dequantize_per_tensor_default_2468: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1821, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1821 = None 2025-06-05T23:26:40.9596754Z 2025-06-05T23:26:40.9597445Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:511 in update, code: v_out = torch.ops.aten.index_put_(self.past_v_caches, [None, input_pos], v_val) 2025-06-05T23:26:40.9598846Z aten_index_put_default_23: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(quantized_decomposed_dequantize_per_tensor_default_148, [None, attn_options_input_pos], quantized_decomposed_dequantize_per_tensor_default_2417); quantized_decomposed_dequantize_per_tensor_default_148 = attn_options_input_pos = quantized_decomposed_dequantize_per_tensor_default_2417 = None 2025-06-05T23:26:40.9599814Z quantized_decomposed_quantize_per_tensor_default_1822: "i32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_put_default_23, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_index_put_default_23 = None 2025-06-05T23:26:40.9599894Z 2025-06-05T23:26:40.9600697Z # File: .74:6331 in forward, code: dequantize_per_tensor_default_1982 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1982, 0.0001868398830993101, 34146, 0, 65535, torch.int32) 2025-06-05T23:26:40.9601649Z quantized_decomposed_dequantize_per_tensor_default_2469: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1822, 0.0001868398830993101, 34146, 0, 65535, torch.int32) 2025-06-05T23:26:40.9601727Z 2025-06-05T23:26:40.9602370Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.9603347Z quantized_decomposed_dequantize_per_tensor_default_2470: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1822, 0.0001868398830993101, 34146, 0, 65535, torch.int32) 2025-06-05T23:26:40.9604281Z quantized_decomposed_dequantize_per_tensor_default_2471: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1822, 0.0001868398830993101, 34146, 0, 65535, torch.int32) 2025-06-05T23:26:40.9605229Z quantized_decomposed_dequantize_per_tensor_default_2472: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1822, 0.0001868398830993101, 34146, 0, 65535, torch.int32) 2025-06-05T23:26:40.9606169Z quantized_decomposed_dequantize_per_tensor_default_2473: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1822, 0.0001868398830993101, 34146, 0, 65535, torch.int32) 2025-06-05T23:26:40.9607101Z quantized_decomposed_dequantize_per_tensor_default_2474: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1822, 0.0001868398830993101, 34146, 0, 65535, torch.int32) 2025-06-05T23:26:40.9608064Z quantized_decomposed_dequantize_per_tensor_default_2475: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1822, 0.0001868398830993101, 34146, 0, 65535, torch.int32) 2025-06-05T23:26:40.9609016Z quantized_decomposed_dequantize_per_tensor_default_2476: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1822, 0.0001868398830993101, 34146, 0, 65535, torch.int32) 2025-06-05T23:26:40.9609962Z quantized_decomposed_dequantize_per_tensor_default_2477: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1822, 0.0001868398830993101, 34146, 0, 65535, torch.int32) 2025-06-05T23:26:40.9610927Z quantized_decomposed_dequantize_per_tensor_default_2478: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1822, 0.0001868398830993101, 34146, 0, 65535, torch.int32) 2025-06-05T23:26:40.9611863Z quantized_decomposed_dequantize_per_tensor_default_2479: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1822, 0.0001868398830993101, 34146, 0, 65535, torch.int32) 2025-06-05T23:26:40.9612814Z quantized_decomposed_dequantize_per_tensor_default_2480: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1822, 0.0001868398830993101, 34146, 0, 65535, torch.int32) 2025-06-05T23:26:40.9613997Z quantized_decomposed_dequantize_per_tensor_default_2481: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1822, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1822 = None 2025-06-05T23:26:40.9614087Z 2025-06-05T23:26:40.9614730Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.9615574Z aten_permute_copy_default_458: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2468, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2468 = None 2025-06-05T23:26:40.9616547Z quantized_decomposed_quantize_per_tensor_default_1823: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_458, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_permute_copy_default_458 = None 2025-06-05T23:26:40.9617726Z quantized_decomposed_dequantize_per_tensor_default_2482: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1823, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1823 = None 2025-06-05T23:26:40.9618492Z aten_select_copy_int_528: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2482, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2482 = None 2025-06-05T23:26:40.9619404Z quantized_decomposed_quantize_per_tensor_default_1824: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_528, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_select_copy_int_528 = None 2025-06-05T23:26:40.9620603Z quantized_decomposed_dequantize_per_tensor_default_2483: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1824, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1824 = None 2025-06-05T23:26:40.9621387Z aten_select_copy_int_529: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2483, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2483 = None 2025-06-05T23:26:40.9622285Z quantized_decomposed_quantize_per_tensor_default_1825: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_529, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_select_copy_int_529 = None 2025-06-05T23:26:40.9622410Z 2025-06-05T23:26:40.9623372Z # File: .74:6352 in forward, code: dequantize_per_tensor_default_1985 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1985, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantize_per_tensor_default_1985 = None 2025-06-05T23:26:40.9624544Z quantized_decomposed_dequantize_per_tensor_default_2484: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1825, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1825 = None 2025-06-05T23:26:40.9624633Z 2025-06-05T23:26:40.9625274Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.9626093Z aten_permute_copy_default_459: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2467, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2467 = None 2025-06-05T23:26:40.9627061Z quantized_decomposed_quantize_per_tensor_default_1826: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_459, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_permute_copy_default_459 = None 2025-06-05T23:26:40.9628263Z quantized_decomposed_dequantize_per_tensor_default_2485: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1826, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1826 = None 2025-06-05T23:26:40.9629027Z aten_select_copy_int_530: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2485, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2485 = None 2025-06-05T23:26:40.9629936Z quantized_decomposed_quantize_per_tensor_default_1827: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_530, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_select_copy_int_530 = None 2025-06-05T23:26:40.9631180Z quantized_decomposed_dequantize_per_tensor_default_2486: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1827, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1827 = None 2025-06-05T23:26:40.9631934Z aten_select_copy_int_531: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2486, 0, 1); quantized_decomposed_dequantize_per_tensor_default_2486 = None 2025-06-05T23:26:40.9632863Z quantized_decomposed_quantize_per_tensor_default_1828: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_531, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_select_copy_int_531 = None 2025-06-05T23:26:40.9632983Z 2025-06-05T23:26:40.9633940Z # File: .74:6361 in forward, code: dequantize_per_tensor_default_1988 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1988, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantize_per_tensor_default_1988 = None 2025-06-05T23:26:40.9635108Z quantized_decomposed_dequantize_per_tensor_default_2487: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1828, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1828 = None 2025-06-05T23:26:40.9635223Z 2025-06-05T23:26:40.9635869Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.9636685Z aten_permute_copy_default_460: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2466, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2466 = None 2025-06-05T23:26:40.9637651Z quantized_decomposed_quantize_per_tensor_default_1829: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_460, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_permute_copy_default_460 = None 2025-06-05T23:26:40.9638832Z quantized_decomposed_dequantize_per_tensor_default_2488: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1829, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1829 = None 2025-06-05T23:26:40.9639628Z aten_select_copy_int_532: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2488, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2488 = None 2025-06-05T23:26:40.9640537Z quantized_decomposed_quantize_per_tensor_default_1830: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_532, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_select_copy_int_532 = None 2025-06-05T23:26:40.9641716Z quantized_decomposed_dequantize_per_tensor_default_2489: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1830, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1830 = None 2025-06-05T23:26:40.9642462Z aten_select_copy_int_533: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2489, 0, 2); quantized_decomposed_dequantize_per_tensor_default_2489 = None 2025-06-05T23:26:40.9643365Z quantized_decomposed_quantize_per_tensor_default_1831: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_533, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_select_copy_int_533 = None 2025-06-05T23:26:40.9643452Z 2025-06-05T23:26:40.9644427Z # File: .74:6370 in forward, code: dequantize_per_tensor_default_1991 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1991, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantize_per_tensor_default_1991 = None 2025-06-05T23:26:40.9645591Z quantized_decomposed_dequantize_per_tensor_default_2490: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1831, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1831 = None 2025-06-05T23:26:40.9645706Z 2025-06-05T23:26:40.9646345Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.9647164Z aten_permute_copy_default_461: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2465, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2465 = None 2025-06-05T23:26:40.9648142Z quantized_decomposed_quantize_per_tensor_default_1832: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_461, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_permute_copy_default_461 = None 2025-06-05T23:26:40.9649329Z quantized_decomposed_dequantize_per_tensor_default_2491: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1832, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1832 = None 2025-06-05T23:26:40.9650088Z aten_select_copy_int_534: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2491, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2491 = None 2025-06-05T23:26:40.9650998Z quantized_decomposed_quantize_per_tensor_default_1833: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_534, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_select_copy_int_534 = None 2025-06-05T23:26:40.9654654Z quantized_decomposed_dequantize_per_tensor_default_2492: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1833, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1833 = None 2025-06-05T23:26:40.9655439Z aten_select_copy_int_535: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2492, 0, 3); quantized_decomposed_dequantize_per_tensor_default_2492 = None 2025-06-05T23:26:40.9656347Z quantized_decomposed_quantize_per_tensor_default_1834: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_535, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_select_copy_int_535 = None 2025-06-05T23:26:40.9656429Z 2025-06-05T23:26:40.9657391Z # File: .74:6379 in forward, code: dequantize_per_tensor_default_1994 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1994, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantize_per_tensor_default_1994 = None 2025-06-05T23:26:40.9658600Z quantized_decomposed_dequantize_per_tensor_default_2493: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1834, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1834 = None 2025-06-05T23:26:40.9658681Z 2025-06-05T23:26:40.9659379Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.9660216Z aten_permute_copy_default_462: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2464, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2464 = None 2025-06-05T23:26:40.9661170Z quantized_decomposed_quantize_per_tensor_default_1835: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_462, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_permute_copy_default_462 = None 2025-06-05T23:26:40.9662355Z quantized_decomposed_dequantize_per_tensor_default_2494: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1835, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1835 = None 2025-06-05T23:26:40.9663133Z aten_select_copy_int_536: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2494, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2494 = None 2025-06-05T23:26:40.9664063Z quantized_decomposed_quantize_per_tensor_default_1836: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_536, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_select_copy_int_536 = None 2025-06-05T23:26:40.9665240Z quantized_decomposed_dequantize_per_tensor_default_2495: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1836, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1836 = None 2025-06-05T23:26:40.9665980Z aten_select_copy_int_537: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2495, 0, 4); quantized_decomposed_dequantize_per_tensor_default_2495 = None 2025-06-05T23:26:40.9666966Z quantized_decomposed_quantize_per_tensor_default_1837: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_537, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_select_copy_int_537 = None 2025-06-05T23:26:40.9667044Z 2025-06-05T23:26:40.9668011Z # File: .74:6388 in forward, code: dequantize_per_tensor_default_1997 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1997, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantize_per_tensor_default_1997 = None 2025-06-05T23:26:40.9669179Z quantized_decomposed_dequantize_per_tensor_default_2496: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1837, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1837 = None 2025-06-05T23:26:40.9669258Z 2025-06-05T23:26:40.9669916Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.9670730Z aten_permute_copy_default_463: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2463, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2463 = None 2025-06-05T23:26:40.9671856Z quantized_decomposed_quantize_per_tensor_default_1838: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_463, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_permute_copy_default_463 = None 2025-06-05T23:26:40.9673372Z quantized_decomposed_dequantize_per_tensor_default_2497: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1838, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1838 = None 2025-06-05T23:26:40.9674128Z aten_select_copy_int_538: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2497, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2497 = None 2025-06-05T23:26:40.9675115Z quantized_decomposed_quantize_per_tensor_default_1839: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_538, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_select_copy_int_538 = None 2025-06-05T23:26:40.9676287Z quantized_decomposed_dequantize_per_tensor_default_2498: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1839, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1839 = None 2025-06-05T23:26:40.9677039Z aten_select_copy_int_539: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2498, 0, 5); quantized_decomposed_dequantize_per_tensor_default_2498 = None 2025-06-05T23:26:40.9677943Z quantized_decomposed_quantize_per_tensor_default_1840: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_539, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_select_copy_int_539 = None 2025-06-05T23:26:40.9678021Z 2025-06-05T23:26:40.9678986Z # File: .74:6397 in forward, code: dequantize_per_tensor_default_2000 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_2000, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantize_per_tensor_default_2000 = None 2025-06-05T23:26:40.9680213Z quantized_decomposed_dequantize_per_tensor_default_2499: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1840, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1840 = None 2025-06-05T23:26:40.9680293Z 2025-06-05T23:26:40.9680952Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.9681765Z aten_permute_copy_default_464: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2462, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2462 = None 2025-06-05T23:26:40.9682729Z quantized_decomposed_quantize_per_tensor_default_1841: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_464, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_permute_copy_default_464 = None 2025-06-05T23:26:40.9683910Z quantized_decomposed_dequantize_per_tensor_default_2500: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1841, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1841 = None 2025-06-05T23:26:40.9684696Z aten_select_copy_int_540: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2500, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2500 = None 2025-06-05T23:26:40.9685655Z quantized_decomposed_quantize_per_tensor_default_1842: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_540, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_select_copy_int_540 = None 2025-06-05T23:26:40.9686835Z quantized_decomposed_dequantize_per_tensor_default_2501: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1842, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1842 = None 2025-06-05T23:26:40.9687618Z aten_select_copy_int_541: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2501, 0, 6); quantized_decomposed_dequantize_per_tensor_default_2501 = None 2025-06-05T23:26:40.9688523Z quantized_decomposed_quantize_per_tensor_default_1843: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_541, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_select_copy_int_541 = None 2025-06-05T23:26:40.9688598Z 2025-06-05T23:26:40.9689564Z # File: .74:6406 in forward, code: dequantize_per_tensor_default_2003 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_2003, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantize_per_tensor_default_2003 = None 2025-06-05T23:26:40.9690731Z quantized_decomposed_dequantize_per_tensor_default_2502: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1843, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1843 = None 2025-06-05T23:26:40.9690808Z 2025-06-05T23:26:40.9691462Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.9692298Z aten_permute_copy_default_465: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2461, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2461 = None 2025-06-05T23:26:40.9693264Z quantized_decomposed_quantize_per_tensor_default_1844: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_465, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_permute_copy_default_465 = None 2025-06-05T23:26:40.9694440Z quantized_decomposed_dequantize_per_tensor_default_2503: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1844, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1844 = None 2025-06-05T23:26:40.9695187Z aten_select_copy_int_542: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2503, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2503 = None 2025-06-05T23:26:40.9696101Z quantized_decomposed_quantize_per_tensor_default_1845: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_542, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_select_copy_int_542 = None 2025-06-05T23:26:40.9697288Z quantized_decomposed_dequantize_per_tensor_default_2504: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1845, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1845 = None 2025-06-05T23:26:40.9698068Z aten_select_copy_int_543: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2504, 0, 7); quantized_decomposed_dequantize_per_tensor_default_2504 = None 2025-06-05T23:26:40.9698964Z quantized_decomposed_quantize_per_tensor_default_1846: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_543, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_select_copy_int_543 = None 2025-06-05T23:26:40.9699064Z 2025-06-05T23:26:40.9700032Z # File: .74:6415 in forward, code: dequantize_per_tensor_default_2006 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_2006, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantize_per_tensor_default_2006 = None 2025-06-05T23:26:40.9701198Z quantized_decomposed_dequantize_per_tensor_default_2505: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1846, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1846 = None 2025-06-05T23:26:40.9701286Z 2025-06-05T23:26:40.9701927Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.9702741Z aten_permute_copy_default_466: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2460, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2460 = None 2025-06-05T23:26:40.9703701Z quantized_decomposed_quantize_per_tensor_default_1847: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_466, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_permute_copy_default_466 = None 2025-06-05T23:26:40.9704895Z quantized_decomposed_dequantize_per_tensor_default_2506: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1847, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1847 = None 2025-06-05T23:26:40.9705649Z aten_select_copy_int_544: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2506, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2506 = None 2025-06-05T23:26:40.9706575Z quantized_decomposed_quantize_per_tensor_default_1848: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_544, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_select_copy_int_544 = None 2025-06-05T23:26:40.9707744Z quantized_decomposed_dequantize_per_tensor_default_2507: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1848, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1848 = None 2025-06-05T23:26:40.9708527Z aten_select_copy_int_545: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2507, 0, 8); quantized_decomposed_dequantize_per_tensor_default_2507 = None 2025-06-05T23:26:40.9709441Z quantized_decomposed_quantize_per_tensor_default_1849: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_545, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_select_copy_int_545 = None 2025-06-05T23:26:40.9709543Z 2025-06-05T23:26:40.9710507Z # File: .74:6424 in forward, code: dequantize_per_tensor_default_2009 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_2009, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantize_per_tensor_default_2009 = None 2025-06-05T23:26:40.9711753Z quantized_decomposed_dequantize_per_tensor_default_2508: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1849, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1849 = None 2025-06-05T23:26:40.9711876Z 2025-06-05T23:26:40.9712516Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.9713334Z aten_permute_copy_default_467: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2459, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2459 = None 2025-06-05T23:26:40.9714300Z quantized_decomposed_quantize_per_tensor_default_1850: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_467, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_permute_copy_default_467 = None 2025-06-05T23:26:40.9715473Z quantized_decomposed_dequantize_per_tensor_default_2509: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1850, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1850 = None 2025-06-05T23:26:40.9716281Z aten_select_copy_int_546: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2509, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2509 = None 2025-06-05T23:26:40.9717186Z quantized_decomposed_quantize_per_tensor_default_1851: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_546, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_select_copy_int_546 = None 2025-06-05T23:26:40.9718353Z quantized_decomposed_dequantize_per_tensor_default_2510: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1851, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1851 = None 2025-06-05T23:26:40.9719114Z aten_select_copy_int_547: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2510, 0, 9); quantized_decomposed_dequantize_per_tensor_default_2510 = None 2025-06-05T23:26:40.9720014Z quantized_decomposed_quantize_per_tensor_default_1852: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_547, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_select_copy_int_547 = None 2025-06-05T23:26:40.9720106Z 2025-06-05T23:26:40.9721082Z # File: .74:6433 in forward, code: dequantize_per_tensor_default_2012 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_2012, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantize_per_tensor_default_2012 = None 2025-06-05T23:26:40.9722278Z quantized_decomposed_dequantize_per_tensor_default_2511: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1852, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1852 = None 2025-06-05T23:26:40.9722370Z 2025-06-05T23:26:40.9723009Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.9723873Z aten_permute_copy_default_468: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2458, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2458 = None 2025-06-05T23:26:40.9724845Z quantized_decomposed_quantize_per_tensor_default_1853: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_468, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_permute_copy_default_468 = None 2025-06-05T23:26:40.9726024Z quantized_decomposed_dequantize_per_tensor_default_2512: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1853, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1853 = None 2025-06-05T23:26:40.9726788Z aten_select_copy_int_548: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2512, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2512 = None 2025-06-05T23:26:40.9727701Z quantized_decomposed_quantize_per_tensor_default_1854: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_548, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_select_copy_int_548 = None 2025-06-05T23:26:40.9728891Z quantized_decomposed_dequantize_per_tensor_default_2513: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1854, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1854 = None 2025-06-05T23:26:40.9729648Z aten_select_copy_int_549: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2513, 0, 10); quantized_decomposed_dequantize_per_tensor_default_2513 = None 2025-06-05T23:26:40.9730553Z quantized_decomposed_quantize_per_tensor_default_1855: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_549, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_select_copy_int_549 = None 2025-06-05T23:26:40.9730643Z 2025-06-05T23:26:40.9731592Z # File: .74:6442 in forward, code: dequantize_per_tensor_default_2015 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_2015, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantize_per_tensor_default_2015 = None 2025-06-05T23:26:40.9732760Z quantized_decomposed_dequantize_per_tensor_default_2514: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1855, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1855 = None 2025-06-05T23:26:40.9732876Z 2025-06-05T23:26:40.9733517Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.9734354Z aten_permute_copy_default_469: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2457, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2457 = None 2025-06-05T23:26:40.9735318Z quantized_decomposed_quantize_per_tensor_default_1856: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_469, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_permute_copy_default_469 = None 2025-06-05T23:26:40.9736524Z quantized_decomposed_dequantize_per_tensor_default_2515: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1856, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1856 = None 2025-06-05T23:26:40.9737286Z aten_select_copy_int_550: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2515, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2515 = None 2025-06-05T23:26:40.9738197Z quantized_decomposed_quantize_per_tensor_default_1857: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_550, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_select_copy_int_550 = None 2025-06-05T23:26:40.9739367Z quantized_decomposed_dequantize_per_tensor_default_2516: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1857, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1857 = None 2025-06-05T23:26:40.9740129Z aten_select_copy_int_551: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2516, 0, 11); quantized_decomposed_dequantize_per_tensor_default_2516 = None 2025-06-05T23:26:40.9741064Z quantized_decomposed_quantize_per_tensor_default_1858: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_551, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_select_copy_int_551 = None 2025-06-05T23:26:40.9741154Z 2025-06-05T23:26:40.9742102Z # File: .74:6451 in forward, code: dequantize_per_tensor_default_2018 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_2018, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantize_per_tensor_default_2018 = None 2025-06-05T23:26:40.9743264Z quantized_decomposed_dequantize_per_tensor_default_2517: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1858, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1858 = None 2025-06-05T23:26:40.9743356Z 2025-06-05T23:26:40.9744000Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.9749673Z aten_cat_default_46: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([quantized_decomposed_dequantize_per_tensor_default_2484, quantized_decomposed_dequantize_per_tensor_default_2487, quantized_decomposed_dequantize_per_tensor_default_2490, quantized_decomposed_dequantize_per_tensor_default_2493, quantized_decomposed_dequantize_per_tensor_default_2496, quantized_decomposed_dequantize_per_tensor_default_2499, quantized_decomposed_dequantize_per_tensor_default_2502, quantized_decomposed_dequantize_per_tensor_default_2505, quantized_decomposed_dequantize_per_tensor_default_2508, quantized_decomposed_dequantize_per_tensor_default_2511, quantized_decomposed_dequantize_per_tensor_default_2514, quantized_decomposed_dequantize_per_tensor_default_2517]); quantized_decomposed_dequantize_per_tensor_default_2484 = quantized_decomposed_dequantize_per_tensor_default_2487 = quantized_decomposed_dequantize_per_tensor_default_2490 = quantized_decomposed_dequantize_per_tensor_default_2493 = quantized_decomposed_dequantize_per_tensor_default_2496 = quantized_decomposed_dequantize_per_tensor_default_2499 = quantized_decomposed_dequantize_per_tensor_default_2502 = quantized_decomposed_dequantize_per_tensor_default_2505 = quantized_decomposed_dequantize_per_tensor_default_2508 = quantized_decomposed_dequantize_per_tensor_default_2511 = quantized_decomposed_dequantize_per_tensor_default_2514 = quantized_decomposed_dequantize_per_tensor_default_2517 = None 2025-06-05T23:26:40.9750608Z quantized_decomposed_quantize_per_tensor_default_1859: "i32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_46, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_cat_default_46 = None 2025-06-05T23:26:40.9751872Z quantized_decomposed_dequantize_per_tensor_default_2518: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1859, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1859 = None 2025-06-05T23:26:40.9752673Z aten_view_copy_default_207: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2518, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_2518 = None 2025-06-05T23:26:40.9753617Z quantized_decomposed_quantize_per_tensor_default_1860: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_207, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_view_copy_default_207 = None 2025-06-05T23:26:40.9753696Z 2025-06-05T23:26:40.9754308Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:324 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-06-05T23:26:40.9755494Z quantized_decomposed_dequantize_per_tensor_default_2519: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1860, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1860 = None 2025-06-05T23:26:40.9755574Z 2025-06-05T23:26:40.9756214Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.9757046Z aten_permute_copy_default_470: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2481, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2481 = None 2025-06-05T23:26:40.9758005Z quantized_decomposed_quantize_per_tensor_default_1861: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_470, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_permute_copy_default_470 = None 2025-06-05T23:26:40.9759209Z quantized_decomposed_dequantize_per_tensor_default_2520: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1861, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1861 = None 2025-06-05T23:26:40.9759976Z aten_select_copy_int_552: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2520, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2520 = None 2025-06-05T23:26:40.9760899Z quantized_decomposed_quantize_per_tensor_default_1862: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_552, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_select_copy_int_552 = None 2025-06-05T23:26:40.9762099Z quantized_decomposed_dequantize_per_tensor_default_2521: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1862, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1862 = None 2025-06-05T23:26:40.9762840Z aten_select_copy_int_553: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2521, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2521 = None 2025-06-05T23:26:40.9763753Z quantized_decomposed_quantize_per_tensor_default_1863: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_553, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_select_copy_int_553 = None 2025-06-05T23:26:40.9763832Z 2025-06-05T23:26:40.9764784Z # File: .74:6466 in forward, code: dequantize_per_tensor_default_2023 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_2023, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantize_per_tensor_default_2023 = None 2025-06-05T23:26:40.9765966Z quantized_decomposed_dequantize_per_tensor_default_2522: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1863, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1863 = None 2025-06-05T23:26:40.9766043Z 2025-06-05T23:26:40.9766719Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.9767527Z aten_permute_copy_default_471: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2480, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2480 = None 2025-06-05T23:26:40.9768486Z quantized_decomposed_quantize_per_tensor_default_1864: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_471, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_permute_copy_default_471 = None 2025-06-05T23:26:40.9769677Z quantized_decomposed_dequantize_per_tensor_default_2523: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1864, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1864 = None 2025-06-05T23:26:40.9770419Z aten_select_copy_int_554: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2523, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2523 = None 2025-06-05T23:26:40.9771376Z quantized_decomposed_quantize_per_tensor_default_1865: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_554, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_select_copy_int_554 = None 2025-06-05T23:26:40.9772571Z quantized_decomposed_dequantize_per_tensor_default_2524: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1865, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1865 = None 2025-06-05T23:26:40.9773550Z aten_select_copy_int_555: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2524, 0, 1); quantized_decomposed_dequantize_per_tensor_default_2524 = None 2025-06-05T23:26:40.9774536Z quantized_decomposed_quantize_per_tensor_default_1866: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_555, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_select_copy_int_555 = None 2025-06-05T23:26:40.9774614Z 2025-06-05T23:26:40.9775564Z # File: .74:6475 in forward, code: dequantize_per_tensor_default_2026 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_2026, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantize_per_tensor_default_2026 = None 2025-06-05T23:26:40.9776746Z quantized_decomposed_dequantize_per_tensor_default_2525: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1866, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1866 = None 2025-06-05T23:26:40.9776826Z 2025-06-05T23:26:40.9777478Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.9778287Z aten_permute_copy_default_472: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2479, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2479 = None 2025-06-05T23:26:40.9779278Z quantized_decomposed_quantize_per_tensor_default_1867: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_472, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_permute_copy_default_472 = None 2025-06-05T23:26:40.9780470Z quantized_decomposed_dequantize_per_tensor_default_2526: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1867, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1867 = None 2025-06-05T23:26:40.9781214Z aten_select_copy_int_556: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2526, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2526 = None 2025-06-05T23:26:40.9782133Z quantized_decomposed_quantize_per_tensor_default_1868: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_556, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_select_copy_int_556 = None 2025-06-05T23:26:40.9783341Z quantized_decomposed_dequantize_per_tensor_default_2527: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1868, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1868 = None 2025-06-05T23:26:40.9784119Z aten_select_copy_int_557: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2527, 0, 2); quantized_decomposed_dequantize_per_tensor_default_2527 = None 2025-06-05T23:26:40.9785044Z quantized_decomposed_quantize_per_tensor_default_1869: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_557, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_select_copy_int_557 = None 2025-06-05T23:26:40.9785120Z 2025-06-05T23:26:40.9786085Z # File: .74:6484 in forward, code: dequantize_per_tensor_default_2029 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_2029, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantize_per_tensor_default_2029 = None 2025-06-05T23:26:40.9787287Z quantized_decomposed_dequantize_per_tensor_default_2528: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1869, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1869 = None 2025-06-05T23:26:40.9787365Z 2025-06-05T23:26:40.9788015Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.9788827Z aten_permute_copy_default_473: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2478, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2478 = None 2025-06-05T23:26:40.9789793Z quantized_decomposed_quantize_per_tensor_default_1870: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_473, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_permute_copy_default_473 = None 2025-06-05T23:26:40.9791091Z quantized_decomposed_dequantize_per_tensor_default_2529: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1870, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1870 = None 2025-06-05T23:26:40.9791843Z aten_select_copy_int_558: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2529, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2529 = None 2025-06-05T23:26:40.9792770Z quantized_decomposed_quantize_per_tensor_default_1871: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_558, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_select_copy_int_558 = None 2025-06-05T23:26:40.9793940Z quantized_decomposed_dequantize_per_tensor_default_2530: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1871, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1871 = None 2025-06-05T23:26:40.9794697Z aten_select_copy_int_559: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2530, 0, 3); quantized_decomposed_dequantize_per_tensor_default_2530 = None 2025-06-05T23:26:40.9795636Z quantized_decomposed_quantize_per_tensor_default_1872: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_559, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_select_copy_int_559 = None 2025-06-05T23:26:40.9795735Z 2025-06-05T23:26:40.9796704Z # File: .74:6493 in forward, code: dequantize_per_tensor_default_2032 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_2032, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantize_per_tensor_default_2032 = None 2025-06-05T23:26:40.9797873Z quantized_decomposed_dequantize_per_tensor_default_2531: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1872, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1872 = None 2025-06-05T23:26:40.9797978Z 2025-06-05T23:26:40.9798635Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.9799447Z aten_permute_copy_default_474: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2477, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2477 = None 2025-06-05T23:26:40.9800423Z quantized_decomposed_quantize_per_tensor_default_1873: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_474, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_permute_copy_default_474 = None 2025-06-05T23:26:40.9801598Z quantized_decomposed_dequantize_per_tensor_default_2532: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1873, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1873 = None 2025-06-05T23:26:40.9802348Z aten_select_copy_int_560: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2532, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2532 = None 2025-06-05T23:26:40.9803300Z quantized_decomposed_quantize_per_tensor_default_1874: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_560, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_select_copy_int_560 = None 2025-06-05T23:26:40.9804476Z quantized_decomposed_dequantize_per_tensor_default_2533: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1874, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1874 = None 2025-06-05T23:26:40.9805232Z aten_select_copy_int_561: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2533, 0, 4); quantized_decomposed_dequantize_per_tensor_default_2533 = None 2025-06-05T23:26:40.9806138Z quantized_decomposed_quantize_per_tensor_default_1875: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_561, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_select_copy_int_561 = None 2025-06-05T23:26:40.9806217Z 2025-06-05T23:26:40.9807185Z # File: .74:6502 in forward, code: dequantize_per_tensor_default_2035 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_2035, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantize_per_tensor_default_2035 = None 2025-06-05T23:26:40.9808387Z quantized_decomposed_dequantize_per_tensor_default_2534: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1875, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1875 = None 2025-06-05T23:26:40.9808499Z 2025-06-05T23:26:40.9809148Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.9809961Z aten_permute_copy_default_475: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2476, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2476 = None 2025-06-05T23:26:40.9810958Z quantized_decomposed_quantize_per_tensor_default_1876: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_475, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_permute_copy_default_475 = None 2025-06-05T23:26:40.9812136Z quantized_decomposed_dequantize_per_tensor_default_2535: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1876, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1876 = None 2025-06-05T23:26:40.9812882Z aten_select_copy_int_562: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2535, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2535 = None 2025-06-05T23:26:40.9813804Z quantized_decomposed_quantize_per_tensor_default_1877: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_562, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_select_copy_int_562 = None 2025-06-05T23:26:40.9814971Z quantized_decomposed_dequantize_per_tensor_default_2536: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1877, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1877 = None 2025-06-05T23:26:40.9815750Z aten_select_copy_int_563: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2536, 0, 5); quantized_decomposed_dequantize_per_tensor_default_2536 = None 2025-06-05T23:26:40.9816648Z quantized_decomposed_quantize_per_tensor_default_1878: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_563, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_select_copy_int_563 = None 2025-06-05T23:26:40.9816727Z 2025-06-05T23:26:40.9817691Z # File: .74:6511 in forward, code: dequantize_per_tensor_default_2038 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_2038, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantize_per_tensor_default_2038 = None 2025-06-05T23:26:40.9818866Z quantized_decomposed_dequantize_per_tensor_default_2537: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1878, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1878 = None 2025-06-05T23:26:40.9818955Z 2025-06-05T23:26:40.9819593Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.9820434Z aten_permute_copy_default_476: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2475, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2475 = None 2025-06-05T23:26:40.9821431Z quantized_decomposed_quantize_per_tensor_default_1879: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_476, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_permute_copy_default_476 = None 2025-06-05T23:26:40.9822610Z quantized_decomposed_dequantize_per_tensor_default_2538: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1879, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1879 = None 2025-06-05T23:26:40.9823394Z aten_select_copy_int_564: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2538, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2538 = None 2025-06-05T23:26:40.9824299Z quantized_decomposed_quantize_per_tensor_default_1880: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_564, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_select_copy_int_564 = None 2025-06-05T23:26:40.9825468Z quantized_decomposed_dequantize_per_tensor_default_2539: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1880, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1880 = None 2025-06-05T23:26:40.9826223Z aten_select_copy_int_565: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2539, 0, 6); quantized_decomposed_dequantize_per_tensor_default_2539 = None 2025-06-05T23:26:40.9827129Z quantized_decomposed_quantize_per_tensor_default_1881: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_565, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_select_copy_int_565 = None 2025-06-05T23:26:40.9827203Z 2025-06-05T23:26:40.9828190Z # File: .74:6520 in forward, code: dequantize_per_tensor_default_2041 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_2041, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantize_per_tensor_default_2041 = None 2025-06-05T23:26:40.9829364Z quantized_decomposed_dequantize_per_tensor_default_2540: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1881, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1881 = None 2025-06-05T23:26:40.9829454Z 2025-06-05T23:26:40.9830088Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.9830962Z aten_permute_copy_default_477: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2474, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2474 = None 2025-06-05T23:26:40.9831957Z quantized_decomposed_quantize_per_tensor_default_1882: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_477, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_permute_copy_default_477 = None 2025-06-05T23:26:40.9833128Z quantized_decomposed_dequantize_per_tensor_default_2541: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1882, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1882 = None 2025-06-05T23:26:40.9833920Z aten_select_copy_int_566: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2541, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2541 = None 2025-06-05T23:26:40.9834835Z quantized_decomposed_quantize_per_tensor_default_1883: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_566, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_select_copy_int_566 = None 2025-06-05T23:26:40.9836032Z quantized_decomposed_dequantize_per_tensor_default_2542: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1883, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1883 = None 2025-06-05T23:26:40.9836789Z aten_select_copy_int_567: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2542, 0, 7); quantized_decomposed_dequantize_per_tensor_default_2542 = None 2025-06-05T23:26:40.9837690Z quantized_decomposed_quantize_per_tensor_default_1884: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_567, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_select_copy_int_567 = None 2025-06-05T23:26:40.9837780Z 2025-06-05T23:26:40.9838732Z # File: .74:6529 in forward, code: dequantize_per_tensor_default_2044 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_2044, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantize_per_tensor_default_2044 = None 2025-06-05T23:26:40.9839937Z quantized_decomposed_dequantize_per_tensor_default_2543: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1884, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1884 = None 2025-06-05T23:26:40.9840026Z 2025-06-05T23:26:40.9840666Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.9841482Z aten_permute_copy_default_478: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2473, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2473 = None 2025-06-05T23:26:40.9842443Z quantized_decomposed_quantize_per_tensor_default_1885: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_478, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_permute_copy_default_478 = None 2025-06-05T23:26:40.9843614Z quantized_decomposed_dequantize_per_tensor_default_2544: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1885, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1885 = None 2025-06-05T23:26:40.9844399Z aten_select_copy_int_568: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2544, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2544 = None 2025-06-05T23:26:40.9845327Z quantized_decomposed_quantize_per_tensor_default_1886: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_568, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_select_copy_int_568 = None 2025-06-05T23:26:40.9846494Z quantized_decomposed_dequantize_per_tensor_default_2545: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1886, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1886 = None 2025-06-05T23:26:40.9847273Z aten_select_copy_int_569: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2545, 0, 8); quantized_decomposed_dequantize_per_tensor_default_2545 = None 2025-06-05T23:26:40.9848171Z quantized_decomposed_quantize_per_tensor_default_1887: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_569, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_select_copy_int_569 = None 2025-06-05T23:26:40.9848261Z 2025-06-05T23:26:40.9849212Z # File: .74:6538 in forward, code: dequantize_per_tensor_default_2047 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_2047, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantize_per_tensor_default_2047 = None 2025-06-05T23:26:40.9850380Z quantized_decomposed_dequantize_per_tensor_default_2546: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1887, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1887 = None 2025-06-05T23:26:40.9850468Z 2025-06-05T23:26:40.9851109Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.9851946Z aten_permute_copy_default_479: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2472, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2472 = None 2025-06-05T23:26:40.9852918Z quantized_decomposed_quantize_per_tensor_default_1888: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_479, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_permute_copy_default_479 = None 2025-06-05T23:26:40.9854088Z quantized_decomposed_dequantize_per_tensor_default_2547: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1888, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1888 = None 2025-06-05T23:26:40.9854845Z aten_select_copy_int_570: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2547, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2547 = None 2025-06-05T23:26:40.9855752Z quantized_decomposed_quantize_per_tensor_default_1889: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_570, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_select_copy_int_570 = None 2025-06-05T23:26:40.9856977Z quantized_decomposed_dequantize_per_tensor_default_2548: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1889, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1889 = None 2025-06-05T23:26:40.9857740Z aten_select_copy_int_571: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2548, 0, 9); quantized_decomposed_dequantize_per_tensor_default_2548 = None 2025-06-05T23:26:40.9858644Z quantized_decomposed_quantize_per_tensor_default_1890: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_571, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_select_copy_int_571 = None 2025-06-05T23:26:40.9858755Z 2025-06-05T23:26:40.9859707Z # File: .74:6547 in forward, code: dequantize_per_tensor_default_2050 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_2050, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantize_per_tensor_default_2050 = None 2025-06-05T23:26:40.9860971Z quantized_decomposed_dequantize_per_tensor_default_2549: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1890, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1890 = None 2025-06-05T23:26:40.9861060Z 2025-06-05T23:26:40.9861701Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.9862531Z aten_permute_copy_default_480: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2471, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2471 = None 2025-06-05T23:26:40.9863495Z quantized_decomposed_quantize_per_tensor_default_1891: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_480, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_permute_copy_default_480 = None 2025-06-05T23:26:40.9864712Z quantized_decomposed_dequantize_per_tensor_default_2550: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1891, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1891 = None 2025-06-05T23:26:40.9865472Z aten_select_copy_int_572: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2550, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2550 = None 2025-06-05T23:26:40.9866379Z quantized_decomposed_quantize_per_tensor_default_1892: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_572, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_select_copy_int_572 = None 2025-06-05T23:26:40.9867560Z quantized_decomposed_dequantize_per_tensor_default_2551: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1892, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1892 = None 2025-06-05T23:26:40.9868304Z aten_select_copy_int_573: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2551, 0, 10); quantized_decomposed_dequantize_per_tensor_default_2551 = None 2025-06-05T23:26:40.9869241Z quantized_decomposed_quantize_per_tensor_default_1893: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_573, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_select_copy_int_573 = None 2025-06-05T23:26:40.9869363Z 2025-06-05T23:26:40.9870316Z # File: .74:6556 in forward, code: dequantize_per_tensor_default_2053 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_2053, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantize_per_tensor_default_2053 = None 2025-06-05T23:26:40.9871567Z quantized_decomposed_dequantize_per_tensor_default_2552: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1893, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1893 = None 2025-06-05T23:26:40.9871675Z 2025-06-05T23:26:40.9872314Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.9873360Z aten_permute_copy_default_481: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2470, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2470 = None 2025-06-05T23:26:40.9874321Z quantized_decomposed_quantize_per_tensor_default_1894: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_481, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_permute_copy_default_481 = None 2025-06-05T23:26:40.9875499Z quantized_decomposed_dequantize_per_tensor_default_2553: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1894, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1894 = None 2025-06-05T23:26:40.9876264Z aten_select_copy_int_574: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2553, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2553 = None 2025-06-05T23:26:40.9877238Z quantized_decomposed_quantize_per_tensor_default_1895: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_574, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_select_copy_int_574 = None 2025-06-05T23:26:40.9878444Z quantized_decomposed_dequantize_per_tensor_default_2554: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1895, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1895 = None 2025-06-05T23:26:40.9879196Z aten_select_copy_int_575: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2554, 0, 11); quantized_decomposed_dequantize_per_tensor_default_2554 = None 2025-06-05T23:26:40.9880101Z quantized_decomposed_quantize_per_tensor_default_1896: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_575, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_select_copy_int_575 = None 2025-06-05T23:26:40.9880195Z 2025-06-05T23:26:40.9881180Z # File: .74:6565 in forward, code: dequantize_per_tensor_default_2056 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_2056, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantize_per_tensor_default_2056 = None 2025-06-05T23:26:40.9882363Z quantized_decomposed_dequantize_per_tensor_default_2555: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1896, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1896 = None 2025-06-05T23:26:40.9882478Z 2025-06-05T23:26:40.9883125Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:291 in repeat_kv, code: return torch.cat(new_kv, 0).reshape(batch, n_heads, seqlen, head_dim) 2025-06-05T23:26:40.9888830Z aten_cat_default_47: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([quantized_decomposed_dequantize_per_tensor_default_2522, quantized_decomposed_dequantize_per_tensor_default_2525, quantized_decomposed_dequantize_per_tensor_default_2528, quantized_decomposed_dequantize_per_tensor_default_2531, quantized_decomposed_dequantize_per_tensor_default_2534, quantized_decomposed_dequantize_per_tensor_default_2537, quantized_decomposed_dequantize_per_tensor_default_2540, quantized_decomposed_dequantize_per_tensor_default_2543, quantized_decomposed_dequantize_per_tensor_default_2546, quantized_decomposed_dequantize_per_tensor_default_2549, quantized_decomposed_dequantize_per_tensor_default_2552, quantized_decomposed_dequantize_per_tensor_default_2555]); quantized_decomposed_dequantize_per_tensor_default_2522 = quantized_decomposed_dequantize_per_tensor_default_2525 = quantized_decomposed_dequantize_per_tensor_default_2528 = quantized_decomposed_dequantize_per_tensor_default_2531 = quantized_decomposed_dequantize_per_tensor_default_2534 = quantized_decomposed_dequantize_per_tensor_default_2537 = quantized_decomposed_dequantize_per_tensor_default_2540 = quantized_decomposed_dequantize_per_tensor_default_2543 = quantized_decomposed_dequantize_per_tensor_default_2546 = quantized_decomposed_dequantize_per_tensor_default_2549 = quantized_decomposed_dequantize_per_tensor_default_2552 = quantized_decomposed_dequantize_per_tensor_default_2555 = None 2025-06-05T23:26:40.9889772Z quantized_decomposed_quantize_per_tensor_default_1897: "i32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_47, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_cat_default_47 = None 2025-06-05T23:26:40.9890967Z quantized_decomposed_dequantize_per_tensor_default_2556: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1897, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1897 = None 2025-06-05T23:26:40.9891763Z aten_view_copy_default_208: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2556, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_2556 = None 2025-06-05T23:26:40.9892704Z quantized_decomposed_quantize_per_tensor_default_1898: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_208, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_view_copy_default_208 = None 2025-06-05T23:26:40.9892786Z 2025-06-05T23:26:40.9893748Z # File: .74:6571 in forward, code: dequantize_per_tensor_default_2058 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_2058, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantize_per_tensor_default_2058 = None 2025-06-05T23:26:40.9894947Z quantized_decomposed_dequantize_per_tensor_default_2557: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1898, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1898 = None 2025-06-05T23:26:40.9895048Z 2025-06-05T23:26:40.9896022Z # File: .74:6572 in forward, code: quantize_per_tensor_default_2059 = torch.ops.quantized_decomposed.quantize_per_tensor.default(dequantize_per_tensor_default_2058, 0.00019470337429083884, 0, -32767, 32767, torch.int16); dequantize_per_tensor_default_2058 = None 2025-06-05T23:26:40.9897204Z quantized_decomposed_quantize_per_tensor_default_1899: "i16[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_2557, 0.00019470337429083884, 0, -32767, 32767, torch.int16); quantized_decomposed_dequantize_per_tensor_default_2557 = None 2025-06-05T23:26:40.9897309Z 2025-06-05T23:26:40.9897793Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:327 in forward, code: y = attn_weight @ v 2025-06-05T23:26:40.9898986Z quantized_decomposed_dequantize_per_tensor_default_2558: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1899, 0.00019470337429083884, 0, -32767, 32767, torch.int16); quantized_decomposed_quantize_per_tensor_default_1899 = None 2025-06-05T23:26:40.9899065Z 2025-06-05T23:26:40.9899662Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:324 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-06-05T23:26:40.9900478Z aten_permute_copy_default_482: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2519, [0, 1, 3, 2]); quantized_decomposed_dequantize_per_tensor_default_2519 = None 2025-06-05T23:26:40.9901453Z quantized_decomposed_quantize_per_tensor_default_1900: "i32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_482, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_permute_copy_default_482 = None 2025-06-05T23:26:40.9901532Z 2025-06-05T23:26:40.9902518Z # File: .74:6576 in forward, code: dequantize_per_tensor_default_2060 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_2060, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantize_per_tensor_default_2060 = None 2025-06-05T23:26:40.9903706Z quantized_decomposed_dequantize_per_tensor_default_2559: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1900, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1900 = None 2025-06-05T23:26:40.9903788Z 2025-06-05T23:26:40.9904741Z # File: .74:6577 in forward, code: quantize_per_tensor_default_2061 = torch.ops.quantized_decomposed.quantize_per_tensor.default(dequantize_per_tensor_default_2060, 0.00041174760553985834, 0, -32767, 32767, torch.int16); dequantize_per_tensor_default_2060 = None 2025-06-05T23:26:40.9905944Z quantized_decomposed_quantize_per_tensor_default_1901: "i16[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_2559, 0.00041174760553985834, 0, -32767, 32767, torch.int16); quantized_decomposed_dequantize_per_tensor_default_2559 = None 2025-06-05T23:26:40.9906021Z 2025-06-05T23:26:40.9906606Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:324 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-06-05T23:26:40.9907809Z quantized_decomposed_dequantize_per_tensor_default_2560: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1901, 0.00041174760553985834, 0, -32767, 32767, torch.int16); quantized_decomposed_quantize_per_tensor_default_1901 = None 2025-06-05T23:26:40.9908623Z aten_expand_copy_default_44: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_2454, [1, 12, 1, 64]); quantized_decomposed_dequantize_per_tensor_default_2454 = None 2025-06-05T23:26:40.9909189Z aten_view_copy_default_209: "f32[12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_44, [12, 1, 64]); aten_expand_copy_default_44 = None 2025-06-05T23:26:40.9910015Z aten_expand_copy_default_45: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_2560, [1, 12, 64, 128]); quantized_decomposed_dequantize_per_tensor_default_2560 = None 2025-06-05T23:26:40.9910587Z aten_view_copy_default_210: "f32[12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_45, [12, 64, 128]); aten_expand_copy_default_45 = None 2025-06-05T23:26:40.9911335Z aten_bmm_default_22: "f32[12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_209, aten_view_copy_default_210); aten_view_copy_default_209 = aten_view_copy_default_210 = None 2025-06-05T23:26:40.9911856Z aten_view_copy_default_211: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_22, [1, 12, 1, 128]); aten_bmm_default_22 = None 2025-06-05T23:26:40.9912802Z quantized_decomposed_quantize_per_tensor_default_1902: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_211, 0.0039060052949935198, 34370, 0, 65535, torch.int32); aten_view_copy_default_211 = None 2025-06-05T23:26:40.9913973Z quantized_decomposed_dequantize_per_tensor_default_2561: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1902, 0.0039060052949935198, 34370, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1902 = None 2025-06-05T23:26:40.9914861Z quantized_decomposed_dequantize_per_tensor_default_2562: "f32[]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(b__frozen_param160, 1.9073777366429567e-06, 0, 0, 65535, torch.int32); b__frozen_param160 = None 2025-06-05T23:26:40.9916036Z aten_mul_tensor_175: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2561, quantized_decomposed_dequantize_per_tensor_default_2562); quantized_decomposed_dequantize_per_tensor_default_2561 = quantized_decomposed_dequantize_per_tensor_default_2562 = None 2025-06-05T23:26:40.9916919Z quantized_decomposed_quantize_per_tensor_default_1903: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_175, 0.00048825066187418997, 34370, 0, 65535, torch.int32); aten_mul_tensor_175 = None 2025-06-05T23:26:40.9917011Z 2025-06-05T23:26:40.9917498Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:325 in forward, code: attn_weight += attn_mask 2025-06-05T23:26:40.9918685Z quantized_decomposed_dequantize_per_tensor_default_2563: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1903, 0.00048825066187418997, 34370, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1903 = None 2025-06-05T23:26:40.9919870Z aten_add_tensor_57: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_2563, quantized_decomposed_dequantize_per_tensor_default_2455); quantized_decomposed_dequantize_per_tensor_default_2563 = quantized_decomposed_dequantize_per_tensor_default_2455 = None 2025-06-05T23:26:40.9920794Z quantized_decomposed_quantize_per_tensor_default_1904: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_57, 0.0042822156101465225, 61982, 0, 65535, torch.int32); aten_add_tensor_57 = None 2025-06-05T23:26:40.9920881Z 2025-06-05T23:26:40.9921448Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:326 in forward, code: attn_weight = torch.softmax(attn_weight, dim=-1) 2025-06-05T23:26:40.9922649Z quantized_decomposed_dequantize_per_tensor_default_2564: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1904, 0.0042822156101465225, 61982, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1904 = None 2025-06-05T23:26:40.9923454Z aten__softmax_default_11: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten__softmax_default(quantized_decomposed_dequantize_per_tensor_default_2564, -1, False); quantized_decomposed_dequantize_per_tensor_default_2564 = None 2025-06-05T23:26:40.9924365Z quantized_decomposed_quantize_per_tensor_default_1905: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten__softmax_default_11, 1.5259021893143654e-05, 0, 0, 65535, torch.int32); aten__softmax_default_11 = None 2025-06-05T23:26:40.9924444Z 2025-06-05T23:26:40.9924914Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:327 in forward, code: y = attn_weight @ v 2025-06-05T23:26:40.9926071Z quantized_decomposed_dequantize_per_tensor_default_2565: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1905, 1.5259021893143654e-05, 0, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1905 = None 2025-06-05T23:26:40.9926906Z aten_expand_copy_default_46: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_2565, [1, 12, 1, 128]); quantized_decomposed_dequantize_per_tensor_default_2565 = None 2025-06-05T23:26:40.9927467Z aten_view_copy_default_212: "f32[12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_46, [12, 1, 128]); aten_expand_copy_default_46 = None 2025-06-05T23:26:40.9928282Z aten_expand_copy_default_47: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_2558, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_2558 = None 2025-06-05T23:26:40.9928864Z aten_view_copy_default_213: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_47, [12, 128, 64]); aten_expand_copy_default_47 = None 2025-06-05T23:26:40.9929517Z aten_bmm_default_23: "f32[12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_212, aten_view_copy_default_213); aten_view_copy_default_212 = aten_view_copy_default_213 = None 2025-06-05T23:26:40.9930029Z aten_view_copy_default_214: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_23, [1, 12, 1, 64]); aten_bmm_default_23 = None 2025-06-05T23:26:40.9930985Z quantized_decomposed_quantize_per_tensor_default_1906: "i32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_214, 0.00014522179844789207, 27770, 0, 65535, torch.int32); aten_view_copy_default_214 = None 2025-06-05T23:26:40.9931087Z 2025-06-05T23:26:40.9931725Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:329 in forward, code: return y.transpose(1, 2).contiguous().view(bsz, seqlen, self.dim) 2025-06-05T23:26:40.9932902Z quantized_decomposed_dequantize_per_tensor_default_2566: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1906, 0.00014522179844789207, 27770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1906 = None 2025-06-05T23:26:40.9933732Z aten_permute_copy_default_483: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2566, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2566 = None 2025-06-05T23:26:40.9934703Z quantized_decomposed_quantize_per_tensor_default_1907: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_483, 0.00014522179844789207, 27770, 0, 65535, torch.int32); aten_permute_copy_default_483 = None 2025-06-05T23:26:40.9935873Z quantized_decomposed_dequantize_per_tensor_default_2567: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1907, 0.00014522179844789207, 27770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1907 = None 2025-06-05T23:26:40.9936668Z aten_view_copy_default_215: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2567, [1, 1, 768]); quantized_decomposed_dequantize_per_tensor_default_2567 = None 2025-06-05T23:26:40.9937597Z quantized_decomposed_quantize_per_tensor_default_1908: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_215, 0.00014522179844789207, 27770, 0, 65535, torch.int32); aten_view_copy_default_215 = None 2025-06-05T23:26:40.9937676Z 2025-06-05T23:26:40.9938239Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.9939412Z quantized_decomposed_dequantize_per_tensor_default_2568: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1908, 0.00014522179844789207, 27770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1908 = None 2025-06-05T23:26:40.9940232Z aten_unsqueeze_copy_default_128: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2568, -1); quantized_decomposed_dequantize_per_tensor_default_2568 = None 2025-06-05T23:26:40.9941216Z quantized_decomposed_quantize_per_tensor_default_1909: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_128, 0.00014522179844789207, 27770, 0, 65535, torch.int32); aten_unsqueeze_copy_default_128 = None 2025-06-05T23:26:40.9941293Z 2025-06-05T23:26:40.9941709Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.9942905Z quantized_decomposed_dequantize_per_tensor_default_2569: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1909, 0.00014522179844789207, 27770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1909 = None 2025-06-05T23:26:40.9943737Z aten_permute_copy_default_484: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2569, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2569 = None 2025-06-05T23:26:40.9944713Z quantized_decomposed_quantize_per_tensor_default_1910: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_484, 0.00014522179844789207, 27770, 0, 65535, torch.int32); aten_permute_copy_default_484 = None 2025-06-05T23:26:40.9944790Z 2025-06-05T23:26:40.9945151Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.9946371Z quantized_decomposed_dequantize_per_tensor_default_2570: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1910, 0.00014522179844789207, 27770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1910 = None 2025-06-05T23:26:40.9947688Z aten_convolution_default_80: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_2570, quantized_decomposed_dequantize_per_tensor_default_104, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_2570 = quantized_decomposed_dequantize_per_tensor_default_104 = None 2025-06-05T23:26:40.9948642Z quantized_decomposed_quantize_per_tensor_default_1911: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_80, 0.0005083726719021797, 47465, 0, 65535, torch.int32); aten_convolution_default_80 = None 2025-06-05T23:26:40.9948722Z 2025-06-05T23:26:40.9949142Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.9950325Z quantized_decomposed_dequantize_per_tensor_default_2571: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1911, 0.0005083726719021797, 47465, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1911 = None 2025-06-05T23:26:40.9951219Z aten_permute_copy_default_485: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2571, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2571 = None 2025-06-05T23:26:40.9952193Z quantized_decomposed_quantize_per_tensor_default_1912: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_485, 0.0005083726719021797, 47465, 0, 65535, torch.int32); aten_permute_copy_default_485 = None 2025-06-05T23:26:40.9952273Z 2025-06-05T23:26:40.9952815Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.9954003Z quantized_decomposed_dequantize_per_tensor_default_2572: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1912, 0.0005083726719021797, 47465, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1912 = None 2025-06-05T23:26:40.9954795Z aten_squeeze_copy_dims_128: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_2572, [-1]); quantized_decomposed_dequantize_per_tensor_default_2572 = None 2025-06-05T23:26:40.9955728Z quantized_decomposed_quantize_per_tensor_default_1913: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_128, 0.0005083726719021797, 47465, 0, 65535, torch.int32); aten_squeeze_copy_dims_128 = None 2025-06-05T23:26:40.9955845Z 2025-06-05T23:26:40.9956214Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:132 in forward, code: h = x + h 2025-06-05T23:26:40.9957392Z quantized_decomposed_dequantize_per_tensor_default_2573: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1913, 0.0005083726719021797, 47465, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1913 = None 2025-06-05T23:26:40.9958577Z aten_add_tensor_58: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_2395, quantized_decomposed_dequantize_per_tensor_default_2573); quantized_decomposed_dequantize_per_tensor_default_2395 = quantized_decomposed_dequantize_per_tensor_default_2573 = None 2025-06-05T23:26:40.9959453Z quantized_decomposed_quantize_per_tensor_default_1914: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_58, 0.0023697831202298403, 14969, 0, 65535, torch.int32); aten_add_tensor_58 = None 2025-06-05T23:26:40.9959544Z 2025-06-05T23:26:40.9960051Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:136 in forward, code: out = h + self.feed_forward(self.ffn_norm(h)) 2025-06-05T23:26:40.9960974Z quantized_decomposed_dequantize_per_tensor_default_2574: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1914, 0.0023697831202298403, 14969, 0, 65535, torch.int32) 2025-06-05T23:26:40.9962150Z quantized_decomposed_dequantize_per_tensor_default_2575: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1914, 0.0023697831202298403, 14969, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1914 = None 2025-06-05T23:26:40.9962689Z aten_pow_tensor_scalar_23: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(quantized_decomposed_dequantize_per_tensor_default_2575, 2) 2025-06-05T23:26:40.9963157Z aten_mean_dim_23: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_mean_dim(aten_pow_tensor_scalar_23, [2], True); aten_pow_tensor_scalar_23 = None 2025-06-05T23:26:40.9963599Z aten_add_scalar_23: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_add_Scalar(aten_mean_dim_23, 9.999999747378752e-06); aten_mean_dim_23 = None 2025-06-05T23:26:40.9964020Z aten_rsqrt_default_23: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_rsqrt_default(aten_add_scalar_23); aten_add_scalar_23 = None 2025-06-05T23:26:40.9964899Z aten_mul_tensor_176: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2575, aten_rsqrt_default_23); quantized_decomposed_dequantize_per_tensor_default_2575 = aten_rsqrt_default_23 = None 2025-06-05T23:26:40.9965728Z aten_mul_tensor_177: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_176, quantized_decomposed_dequantize_per_tensor_default_105); aten_mul_tensor_176 = quantized_decomposed_dequantize_per_tensor_default_105 = None 2025-06-05T23:26:40.9966627Z quantized_decomposed_quantize_per_tensor_default_1915: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_177, 0.0006559237372130156, 27360, 0, 65535, torch.int32); aten_mul_tensor_177 = None 2025-06-05T23:26:40.9966715Z 2025-06-05T23:26:40.9967259Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.9968190Z quantized_decomposed_dequantize_per_tensor_default_2576: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1915, 0.0006559237372130156, 27360, 0, 65535, torch.int32) 2025-06-05T23:26:40.9969371Z quantized_decomposed_dequantize_per_tensor_default_2577: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1915, 0.0006559237372130156, 27360, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1915 = None 2025-06-05T23:26:40.9970231Z aten_unsqueeze_copy_default_129: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2577, -1); quantized_decomposed_dequantize_per_tensor_default_2577 = None 2025-06-05T23:26:40.9971221Z quantized_decomposed_quantize_per_tensor_default_1916: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_129, 0.0006559237372130156, 27360, 0, 65535, torch.int32); aten_unsqueeze_copy_default_129 = None 2025-06-05T23:26:40.9971298Z 2025-06-05T23:26:40.9971700Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.9973155Z quantized_decomposed_dequantize_per_tensor_default_2578: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1916, 0.0006559237372130156, 27360, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1916 = None 2025-06-05T23:26:40.9973960Z aten_permute_copy_default_486: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2578, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2578 = None 2025-06-05T23:26:40.9974982Z quantized_decomposed_quantize_per_tensor_default_1917: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_486, 0.0006559237372130156, 27360, 0, 65535, torch.int32); aten_permute_copy_default_486 = None 2025-06-05T23:26:40.9975060Z 2025-06-05T23:26:40.9975421Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:40.9976621Z quantized_decomposed_dequantize_per_tensor_default_2579: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1917, 0.0006559237372130156, 27360, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1917 = None 2025-06-05T23:26:40.9977932Z aten_convolution_default_81: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_2579, quantized_decomposed_dequantize_per_tensor_default_106, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_2579 = quantized_decomposed_dequantize_per_tensor_default_106 = None 2025-06-05T23:26:40.9978918Z quantized_decomposed_quantize_per_tensor_default_1918: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_81, 0.0002535042294766754, 28878, 0, 65535, torch.int32); aten_convolution_default_81 = None 2025-06-05T23:26:40.9979013Z 2025-06-05T23:26:40.9979431Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:40.9980664Z quantized_decomposed_dequantize_per_tensor_default_2580: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1918, 0.0002535042294766754, 28878, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1918 = None 2025-06-05T23:26:40.9981476Z aten_permute_copy_default_487: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2580, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2580 = None 2025-06-05T23:26:40.9982474Z quantized_decomposed_quantize_per_tensor_default_1919: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_487, 0.0002535042294766754, 28878, 0, 65535, torch.int32); aten_permute_copy_default_487 = None 2025-06-05T23:26:40.9982563Z 2025-06-05T23:26:40.9983100Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:40.9984288Z quantized_decomposed_dequantize_per_tensor_default_2581: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1919, 0.0002535042294766754, 28878, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1919 = None 2025-06-05T23:26:40.9985079Z aten_squeeze_copy_dims_129: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_2581, [-1]); quantized_decomposed_dequantize_per_tensor_default_2581 = None 2025-06-05T23:26:40.9986011Z quantized_decomposed_quantize_per_tensor_default_1920: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_129, 0.0002535042294766754, 28878, 0, 65535, torch.int32); aten_squeeze_copy_dims_129 = None 2025-06-05T23:26:40.9986100Z 2025-06-05T23:26:40.9986637Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:37 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-06-05T23:26:40.9987575Z quantized_decomposed_dequantize_per_tensor_default_2582: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1920, 0.0002535042294766754, 28878, 0, 65535, torch.int32) 2025-06-05T23:26:40.9988759Z quantized_decomposed_dequantize_per_tensor_default_2583: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1920, 0.0002535042294766754, 28878, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1920 = None 2025-06-05T23:26:40.9989512Z aten_sigmoid_default_11: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_sigmoid_default(quantized_decomposed_dequantize_per_tensor_default_2583); quantized_decomposed_dequantize_per_tensor_default_2583 = None 2025-06-05T23:26:40.9990394Z quantized_decomposed_quantize_per_tensor_default_1921: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sigmoid_default_11, 1.52587890625e-05, 0, 0, 65535, torch.int32); aten_sigmoid_default_11 = None 2025-06-05T23:26:40.9991655Z quantized_decomposed_dequantize_per_tensor_default_2584: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1921, 1.52587890625e-05, 0, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1921 = None 2025-06-05T23:26:40.9992855Z aten_mul_tensor_178: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2582, quantized_decomposed_dequantize_per_tensor_default_2584); quantized_decomposed_dequantize_per_tensor_default_2582 = quantized_decomposed_dequantize_per_tensor_default_2584 = None 2025-06-05T23:26:40.9993747Z quantized_decomposed_quantize_per_tensor_default_1922: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_178, 0.00014603332965634763, 1907, 0, 65535, torch.int32); aten_mul_tensor_178 = None 2025-06-05T23:26:40.9994948Z quantized_decomposed_dequantize_per_tensor_default_2585: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1922, 0.00014603332965634763, 1907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1922 = None 2025-06-05T23:26:40.9995042Z 2025-06-05T23:26:40.9995562Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:40.9996385Z aten_unsqueeze_copy_default_130: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2576, -1); quantized_decomposed_dequantize_per_tensor_default_2576 = None 2025-06-05T23:26:40.9997373Z quantized_decomposed_quantize_per_tensor_default_1923: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_130, 0.0006559237372130156, 27360, 0, 65535, torch.int32); aten_unsqueeze_copy_default_130 = None 2025-06-05T23:26:40.9997454Z 2025-06-05T23:26:40.9997858Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:40.9999048Z quantized_decomposed_dequantize_per_tensor_default_2586: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1923, 0.0006559237372130156, 27360, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1923 = None 2025-06-05T23:26:40.9999882Z aten_permute_copy_default_488: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2586, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2586 = None 2025-06-05T23:26:41.0000840Z quantized_decomposed_quantize_per_tensor_default_1924: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_488, 0.0006559237372130156, 27360, 0, 65535, torch.int32); aten_permute_copy_default_488 = None 2025-06-05T23:26:41.0000931Z 2025-06-05T23:26:41.0001292Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:41.0002487Z quantized_decomposed_dequantize_per_tensor_default_2587: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1924, 0.0006559237372130156, 27360, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1924 = None 2025-06-05T23:26:41.0003821Z aten_convolution_default_82: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_2587, quantized_decomposed_dequantize_per_tensor_default_107, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_2587 = quantized_decomposed_dequantize_per_tensor_default_107 = None 2025-06-05T23:26:41.0004798Z quantized_decomposed_quantize_per_tensor_default_1925: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_82, 0.00044822643394581974, 39750, 0, 65535, torch.int32); aten_convolution_default_82 = None 2025-06-05T23:26:41.0004887Z 2025-06-05T23:26:41.0005306Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:41.0006495Z quantized_decomposed_dequantize_per_tensor_default_2588: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1925, 0.00044822643394581974, 39750, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1925 = None 2025-06-05T23:26:41.0007342Z aten_permute_copy_default_489: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2588, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2588 = None 2025-06-05T23:26:41.0008315Z quantized_decomposed_quantize_per_tensor_default_1926: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_489, 0.00044822643394581974, 39750, 0, 65535, torch.int32); aten_permute_copy_default_489 = None 2025-06-05T23:26:41.0008405Z 2025-06-05T23:26:41.0008943Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:41.0010132Z quantized_decomposed_dequantize_per_tensor_default_2589: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1926, 0.00044822643394581974, 39750, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1926 = None 2025-06-05T23:26:41.0010919Z aten_squeeze_copy_dims_130: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_2589, [-1]); quantized_decomposed_dequantize_per_tensor_default_2589 = None 2025-06-05T23:26:41.0011870Z quantized_decomposed_quantize_per_tensor_default_1927: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_130, 0.00044822643394581974, 39750, 0, 65535, torch.int32); aten_squeeze_copy_dims_130 = None 2025-06-05T23:26:41.0011960Z 2025-06-05T23:26:41.0012472Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:37 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-06-05T23:26:41.0013649Z quantized_decomposed_dequantize_per_tensor_default_2590: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1927, 0.00044822643394581974, 39750, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1927 = None 2025-06-05T23:26:41.0014825Z aten_mul_tensor_179: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2585, quantized_decomposed_dequantize_per_tensor_default_2590); quantized_decomposed_dequantize_per_tensor_default_2585 = quantized_decomposed_dequantize_per_tensor_default_2590 = None 2025-06-05T23:26:41.0015725Z quantized_decomposed_quantize_per_tensor_default_1928: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_179, 0.002697124844416976, 47690, 0, 65535, torch.int32); aten_mul_tensor_179 = None 2025-06-05T23:26:41.0015804Z 2025-06-05T23:26:41.0016360Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:41.0017529Z quantized_decomposed_dequantize_per_tensor_default_2591: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1928, 0.002697124844416976, 47690, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1928 = None 2025-06-05T23:26:41.0018358Z aten_unsqueeze_copy_default_131: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2591, -1); quantized_decomposed_dequantize_per_tensor_default_2591 = None 2025-06-05T23:26:41.0019356Z quantized_decomposed_quantize_per_tensor_default_1929: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_131, 0.002697124844416976, 47690, 0, 65535, torch.int32); aten_unsqueeze_copy_default_131 = None 2025-06-05T23:26:41.0019435Z 2025-06-05T23:26:41.0019848Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:41.0021022Z quantized_decomposed_dequantize_per_tensor_default_2592: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1929, 0.002697124844416976, 47690, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1929 = None 2025-06-05T23:26:41.0021842Z aten_permute_copy_default_490: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2592, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2592 = None 2025-06-05T23:26:41.0022813Z quantized_decomposed_quantize_per_tensor_default_1930: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_490, 0.002697124844416976, 47690, 0, 65535, torch.int32); aten_permute_copy_default_490 = None 2025-06-05T23:26:41.0022892Z 2025-06-05T23:26:41.0023276Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:41.0024465Z quantized_decomposed_dequantize_per_tensor_default_2593: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1930, 0.002697124844416976, 47690, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1930 = None 2025-06-05T23:26:41.0025768Z aten_convolution_default_83: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_2593, quantized_decomposed_dequantize_per_tensor_default_108, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_2593 = quantized_decomposed_dequantize_per_tensor_default_108 = None 2025-06-05T23:26:41.0026726Z quantized_decomposed_quantize_per_tensor_default_1931: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_83, 0.002150162821635604, 55113, 0, 65535, torch.int32); aten_convolution_default_83 = None 2025-06-05T23:26:41.0026804Z 2025-06-05T23:26:41.0027220Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:41.0028423Z quantized_decomposed_dequantize_per_tensor_default_2594: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1931, 0.002150162821635604, 55113, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1931 = None 2025-06-05T23:26:41.0029253Z aten_permute_copy_default_491: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2594, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2594 = None 2025-06-05T23:26:41.0030218Z quantized_decomposed_quantize_per_tensor_default_1932: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_491, 0.002150162821635604, 55113, 0, 65535, torch.int32); aten_permute_copy_default_491 = None 2025-06-05T23:26:41.0030322Z 2025-06-05T23:26:41.0030931Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:41.0032120Z quantized_decomposed_dequantize_per_tensor_default_2595: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1932, 0.002150162821635604, 55113, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1932 = None 2025-06-05T23:26:41.0032891Z aten_squeeze_copy_dims_131: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_2595, [-1]); quantized_decomposed_dequantize_per_tensor_default_2595 = None 2025-06-05T23:26:41.0033815Z quantized_decomposed_quantize_per_tensor_default_1933: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_131, 0.002150162821635604, 55113, 0, 65535, torch.int32); aten_squeeze_copy_dims_131 = None 2025-06-05T23:26:41.0033908Z 2025-06-05T23:26:41.0034421Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:136 in forward, code: out = h + self.feed_forward(self.ffn_norm(h)) 2025-06-05T23:26:41.0035630Z quantized_decomposed_dequantize_per_tensor_default_2596: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1933, 0.002150162821635604, 55113, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1933 = None 2025-06-05T23:26:41.0036786Z aten_add_tensor_59: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_2574, quantized_decomposed_dequantize_per_tensor_default_2596); quantized_decomposed_dequantize_per_tensor_default_2574 = quantized_decomposed_dequantize_per_tensor_default_2596 = None 2025-06-05T23:26:41.0037649Z quantized_decomposed_quantize_per_tensor_default_1934: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_59, 0.003176590660586953, 40851, 0, 65535, torch.int32); aten_add_tensor_59 = None 2025-06-05T23:26:41.0037743Z 2025-06-05T23:26:41.0038138Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:207 in forward, code: h = h[:, -1, :] 2025-06-05T23:26:41.0039302Z quantized_decomposed_dequantize_per_tensor_default_2597: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1934, 0.003176590660586953, 40851, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1934 = None 2025-06-05T23:26:41.0040090Z aten_select_copy_int_576: "f32[1, 768]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2597, 1, -1); quantized_decomposed_dequantize_per_tensor_default_2597 = None 2025-06-05T23:26:41.0040992Z quantized_decomposed_quantize_per_tensor_default_1935: "i32[1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_576, 0.003176590660586953, 40851, 0, 65535, torch.int32); aten_select_copy_int_576 = None 2025-06-05T23:26:41.0041109Z 2025-06-05T23:26:41.0041510Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:209 in forward, code: h = self.norm(h) 2025-06-05T23:26:41.0042682Z quantized_decomposed_dequantize_per_tensor_default_2598: "f32[1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1935, 0.003176590660586953, 40851, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1935 = None 2025-06-05T23:26:41.0043231Z aten_pow_tensor_scalar_24: "f32[1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(quantized_decomposed_dequantize_per_tensor_default_2598, 2) 2025-06-05T23:26:41.0043683Z aten_mean_dim_24: "f32[1, 1]" = executorch_exir_dialects_edge__ops_aten_mean_dim(aten_pow_tensor_scalar_24, [1], True); aten_pow_tensor_scalar_24 = None 2025-06-05T23:26:41.0044122Z aten_add_scalar_24: "f32[1, 1]" = executorch_exir_dialects_edge__ops_aten_add_Scalar(aten_mean_dim_24, 9.999999747378752e-06); aten_mean_dim_24 = None 2025-06-05T23:26:41.0044552Z aten_rsqrt_default_24: "f32[1, 1]" = executorch_exir_dialects_edge__ops_aten_rsqrt_default(aten_add_scalar_24); aten_add_scalar_24 = None 2025-06-05T23:26:41.0045415Z aten_mul_tensor_180: "f32[1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2598, aten_rsqrt_default_24); quantized_decomposed_dequantize_per_tensor_default_2598 = aten_rsqrt_default_24 = None 2025-06-05T23:26:41.0046247Z aten_mul_tensor_181: "f32[1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_180, quantized_decomposed_dequantize_per_tensor_default_109); aten_mul_tensor_180 = quantized_decomposed_dequantize_per_tensor_default_109 = None 2025-06-05T23:26:41.0047122Z quantized_decomposed_quantize_per_tensor_default_1936: "i32[1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_181, 0.0029369546100497246, 33824, 0, 65535, torch.int32); aten_mul_tensor_181 = None 2025-06-05T23:26:41.0047224Z 2025-06-05T23:26:41.0047754Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:158 in forward, code: x = x.unsqueeze(-1) if rank == 3 else x.reshape(1, *x.shape, 1) 2025-06-05T23:26:41.0048929Z quantized_decomposed_dequantize_per_tensor_default_2599: "f32[1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1936, 0.0029369546100497246, 33824, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1936 = None 2025-06-05T23:26:41.0049718Z aten_view_copy_default_216: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2599, [1, 1, 768, 1]); quantized_decomposed_dequantize_per_tensor_default_2599 = None 2025-06-05T23:26:41.0050657Z quantized_decomposed_quantize_per_tensor_default_1937: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_216, 0.0029369546100497246, 33824, 0, 65535, torch.int32); aten_view_copy_default_216 = None 2025-06-05T23:26:41.0050733Z 2025-06-05T23:26:41.0051137Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:159 in forward, code: x = torch.transpose(x, 1, 2) 2025-06-05T23:26:41.0052342Z quantized_decomposed_dequantize_per_tensor_default_2600: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1937, 0.0029369546100497246, 33824, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1937 = None 2025-06-05T23:26:41.0053171Z aten_permute_copy_default_492: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2600, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2600 = None 2025-06-05T23:26:41.0054134Z quantized_decomposed_quantize_per_tensor_default_1938: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_492, 0.0029369546100497246, 33824, 0, 65535, torch.int32); aten_permute_copy_default_492 = None 2025-06-05T23:26:41.0054234Z 2025-06-05T23:26:41.0054595Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:160 in forward, code: res = self.conv(x) 2025-06-05T23:26:41.0055777Z quantized_decomposed_dequantize_per_tensor_default_2601: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1938, 0.0029369546100497246, 33824, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1938 = None 2025-06-05T23:26:41.0057094Z aten_convolution_default_84: "f32[1, 32000, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_2601, quantized_decomposed_dequantize_per_tensor_default_110, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_2601 = quantized_decomposed_dequantize_per_tensor_default_110 = None 2025-06-05T23:26:41.0058062Z quantized_decomposed_quantize_per_tensor_default_1939: "i32[1, 32000, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_84, 0.0006781866541132331, 24939, 0, 65535, torch.int32); aten_convolution_default_84 = None 2025-06-05T23:26:41.0058140Z 2025-06-05T23:26:41.0058558Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:161 in forward, code: res = torch.transpose(res, 1, 2) 2025-06-05T23:26:41.0059797Z quantized_decomposed_dequantize_per_tensor_default_2602: "f32[1, 32000, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1939, 0.0006781866541132331, 24939, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1939 = None 2025-06-05T23:26:41.0060617Z aten_permute_copy_default_493: "f32[1, 1, 32000, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2602, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2602 = None 2025-06-05T23:26:41.0061580Z quantized_decomposed_quantize_per_tensor_default_1940: "i32[1, 1, 32000, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_493, 0.0006781866541132331, 24939, 0, 65535, torch.int32); aten_permute_copy_default_493 = None 2025-06-05T23:26:41.0061672Z 2025-06-05T23:26:41.0062214Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:162 in forward, code: res = res.squeeze(-1) if rank == 3 else res.reshape(*res.shape[1:3]) 2025-06-05T23:26:41.0063409Z quantized_decomposed_dequantize_per_tensor_default_2603: "f32[1, 1, 32000, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1940, 0.0006781866541132331, 24939, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1940 = None 2025-06-05T23:26:41.0064236Z aten_view_copy_default_217: "f32[1, 32000]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2603, [1, 32000]); quantized_decomposed_dequantize_per_tensor_default_2603 = None 2025-06-05T23:26:41.0065218Z quantized_decomposed_quantize_per_tensor_default_1941: "i32[1, 32000]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_217, 0.0006781866541132331, 24939, 0, 65535, torch.int32); aten_view_copy_default_217 = None 2025-06-05T23:26:41.0065307Z 2025-06-05T23:26:41.0066267Z # File: .74:6709 in forward, code: dequantize_per_tensor_default_2104 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_2104, 0.0006781866541132331, 24939, 0, 65535, torch.int32); quantize_per_tensor_default_2104 = None 2025-06-05T23:26:41.0067483Z quantized_decomposed_dequantize_per_tensor_default_2604: "f32[1, 32000]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1941, 0.0006781866541132331, 24939, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1941 = None 2025-06-05T23:26:41.0067573Z 2025-06-05T23:26:41.0068504Z # File: .74:6710 in forward, code: copy__default = torch.ops.aten.copy_.default(layers_0_attention_kv_cache_past_k_caches, dequantize_per_tensor_default_199); layers_0_attention_kv_cache_past_k_caches = dequantize_per_tensor_default_199 = copy__default = None 2025-06-05T23:26:41.0069549Z aten_copy_default: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_copy_default(b_layers_0_attention_kv_cache_past_k_caches, quantized_decomposed_dequantize_per_tensor_default_234); b_layers_0_attention_kv_cache_past_k_caches = quantized_decomposed_dequantize_per_tensor_default_234 = None 2025-06-05T23:26:41.0069627Z 2025-06-05T23:26:41.0070563Z # File: .74:6711 in forward, code: copy__default_1 = torch.ops.aten.copy_.default(layers_0_attention_kv_cache_past_v_caches, dequantize_per_tensor_default_200); layers_0_attention_kv_cache_past_v_caches = dequantize_per_tensor_default_200 = copy__default_1 = None 2025-06-05T23:26:41.0071816Z aten_copy_default_1: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_copy_default(b_layers_0_attention_kv_cache_past_v_caches, quantized_decomposed_dequantize_per_tensor_default_247); b_layers_0_attention_kv_cache_past_v_caches = quantized_decomposed_dequantize_per_tensor_default_247 = None 2025-06-05T23:26:41.0071897Z 2025-06-05T23:26:41.0073015Z # File: .74:6712 in forward, code: copy__default_2 = torch.ops.aten.copy_.default(layers_1_attention_kv_cache_past_k_caches, dequantize_per_tensor_default_361); layers_1_attention_kv_cache_past_k_caches = dequantize_per_tensor_default_361 = copy__default_2 = None 2025-06-05T23:26:41.0074069Z aten_copy_default_2: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_copy_default(b_layers_1_attention_kv_cache_past_k_caches, quantized_decomposed_dequantize_per_tensor_default_436); b_layers_1_attention_kv_cache_past_k_caches = quantized_decomposed_dequantize_per_tensor_default_436 = None 2025-06-05T23:26:41.0074148Z 2025-06-05T23:26:41.0075082Z # File: .74:6713 in forward, code: copy__default_3 = torch.ops.aten.copy_.default(layers_1_attention_kv_cache_past_v_caches, dequantize_per_tensor_default_362); layers_1_attention_kv_cache_past_v_caches = dequantize_per_tensor_default_362 = copy__default_3 = None 2025-06-05T23:26:41.0076191Z aten_copy_default_3: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_copy_default(b_layers_1_attention_kv_cache_past_v_caches, quantized_decomposed_dequantize_per_tensor_default_449); b_layers_1_attention_kv_cache_past_v_caches = quantized_decomposed_dequantize_per_tensor_default_449 = None 2025-06-05T23:26:41.0076269Z 2025-06-05T23:26:41.0077214Z # File: .74:6714 in forward, code: copy__default_4 = torch.ops.aten.copy_.default(layers_2_attention_kv_cache_past_k_caches, dequantize_per_tensor_default_523); layers_2_attention_kv_cache_past_k_caches = dequantize_per_tensor_default_523 = copy__default_4 = None 2025-06-05T23:26:41.0078278Z aten_copy_default_4: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_copy_default(b_layers_2_attention_kv_cache_past_k_caches, quantized_decomposed_dequantize_per_tensor_default_638); b_layers_2_attention_kv_cache_past_k_caches = quantized_decomposed_dequantize_per_tensor_default_638 = None 2025-06-05T23:26:41.0078354Z 2025-06-05T23:26:41.0079333Z # File: .74:6715 in forward, code: copy__default_5 = torch.ops.aten.copy_.default(layers_2_attention_kv_cache_past_v_caches, dequantize_per_tensor_default_524); layers_2_attention_kv_cache_past_v_caches = dequantize_per_tensor_default_524 = copy__default_5 = None 2025-06-05T23:26:41.0080366Z aten_copy_default_5: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_copy_default(b_layers_2_attention_kv_cache_past_v_caches, quantized_decomposed_dequantize_per_tensor_default_651); b_layers_2_attention_kv_cache_past_v_caches = quantized_decomposed_dequantize_per_tensor_default_651 = None 2025-06-05T23:26:41.0080442Z 2025-06-05T23:26:41.0081388Z # File: .74:6716 in forward, code: copy__default_6 = torch.ops.aten.copy_.default(layers_3_attention_kv_cache_past_k_caches, dequantize_per_tensor_default_685); layers_3_attention_kv_cache_past_k_caches = dequantize_per_tensor_default_685 = copy__default_6 = None 2025-06-05T23:26:41.0082410Z aten_copy_default_6: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_copy_default(b_layers_3_attention_kv_cache_past_k_caches, quantized_decomposed_dequantize_per_tensor_default_840); b_layers_3_attention_kv_cache_past_k_caches = quantized_decomposed_dequantize_per_tensor_default_840 = None 2025-06-05T23:26:41.0082500Z 2025-06-05T23:26:41.0083433Z # File: .74:6717 in forward, code: copy__default_7 = torch.ops.aten.copy_.default(layers_3_attention_kv_cache_past_v_caches, dequantize_per_tensor_default_686); layers_3_attention_kv_cache_past_v_caches = dequantize_per_tensor_default_686 = copy__default_7 = None 2025-06-05T23:26:41.0084509Z aten_copy_default_7: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_copy_default(b_layers_3_attention_kv_cache_past_v_caches, quantized_decomposed_dequantize_per_tensor_default_853); b_layers_3_attention_kv_cache_past_v_caches = quantized_decomposed_dequantize_per_tensor_default_853 = None 2025-06-05T23:26:41.0084606Z 2025-06-05T23:26:41.0085547Z # File: .74:6718 in forward, code: copy__default_8 = torch.ops.aten.copy_.default(layers_4_attention_kv_cache_past_k_caches, dequantize_per_tensor_default_847); layers_4_attention_kv_cache_past_k_caches = dequantize_per_tensor_default_847 = copy__default_8 = None 2025-06-05T23:26:41.0086605Z aten_copy_default_8: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_copy_default(b_layers_4_attention_kv_cache_past_k_caches, quantized_decomposed_dequantize_per_tensor_default_1042); b_layers_4_attention_kv_cache_past_k_caches = quantized_decomposed_dequantize_per_tensor_default_1042 = None 2025-06-05T23:26:41.0086680Z 2025-06-05T23:26:41.0087618Z # File: .74:6719 in forward, code: copy__default_9 = torch.ops.aten.copy_.default(layers_4_attention_kv_cache_past_v_caches, dequantize_per_tensor_default_848); layers_4_attention_kv_cache_past_v_caches = dequantize_per_tensor_default_848 = copy__default_9 = None 2025-06-05T23:26:41.0088703Z aten_copy_default_9: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_copy_default(b_layers_4_attention_kv_cache_past_v_caches, quantized_decomposed_dequantize_per_tensor_default_1055); b_layers_4_attention_kv_cache_past_v_caches = quantized_decomposed_dequantize_per_tensor_default_1055 = None 2025-06-05T23:26:41.0088801Z 2025-06-05T23:26:41.0089748Z # File: .74:6720 in forward, code: copy__default_10 = torch.ops.aten.copy_.default(layers_5_attention_kv_cache_past_k_caches, dequantize_per_tensor_default_1009); layers_5_attention_kv_cache_past_k_caches = dequantize_per_tensor_default_1009 = copy__default_10 = None 2025-06-05T23:26:41.0090799Z aten_copy_default_10: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_copy_default(b_layers_5_attention_kv_cache_past_k_caches, quantized_decomposed_dequantize_per_tensor_default_1244); b_layers_5_attention_kv_cache_past_k_caches = quantized_decomposed_dequantize_per_tensor_default_1244 = None 2025-06-05T23:26:41.0090899Z 2025-06-05T23:26:41.0091844Z # File: .74:6721 in forward, code: copy__default_11 = torch.ops.aten.copy_.default(layers_5_attention_kv_cache_past_v_caches, dequantize_per_tensor_default_1010); layers_5_attention_kv_cache_past_v_caches = dequantize_per_tensor_default_1010 = copy__default_11 = None 2025-06-05T23:26:41.0092904Z aten_copy_default_11: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_copy_default(b_layers_5_attention_kv_cache_past_v_caches, quantized_decomposed_dequantize_per_tensor_default_1257); b_layers_5_attention_kv_cache_past_v_caches = quantized_decomposed_dequantize_per_tensor_default_1257 = None 2025-06-05T23:26:41.0092979Z 2025-06-05T23:26:41.0093935Z # File: .74:6722 in forward, code: copy__default_12 = torch.ops.aten.copy_.default(layers_6_attention_kv_cache_past_k_caches, dequantize_per_tensor_default_1171); layers_6_attention_kv_cache_past_k_caches = dequantize_per_tensor_default_1171 = copy__default_12 = None 2025-06-05T23:26:41.0094970Z aten_copy_default_12: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_copy_default(b_layers_6_attention_kv_cache_past_k_caches, quantized_decomposed_dequantize_per_tensor_default_1446); b_layers_6_attention_kv_cache_past_k_caches = quantized_decomposed_dequantize_per_tensor_default_1446 = None 2025-06-05T23:26:41.0095047Z 2025-06-05T23:26:41.0096028Z # File: .74:6723 in forward, code: copy__default_13 = torch.ops.aten.copy_.default(layers_6_attention_kv_cache_past_v_caches, dequantize_per_tensor_default_1172); layers_6_attention_kv_cache_past_v_caches = dequantize_per_tensor_default_1172 = copy__default_13 = None 2025-06-05T23:26:41.0097075Z aten_copy_default_13: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_copy_default(b_layers_6_attention_kv_cache_past_v_caches, quantized_decomposed_dequantize_per_tensor_default_1459); b_layers_6_attention_kv_cache_past_v_caches = quantized_decomposed_dequantize_per_tensor_default_1459 = None 2025-06-05T23:26:41.0097154Z 2025-06-05T23:26:41.0098107Z # File: .74:6724 in forward, code: copy__default_14 = torch.ops.aten.copy_.default(layers_7_attention_kv_cache_past_k_caches, dequantize_per_tensor_default_1333); layers_7_attention_kv_cache_past_k_caches = dequantize_per_tensor_default_1333 = copy__default_14 = None 2025-06-05T23:26:41.0099156Z aten_copy_default_14: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_copy_default(b_layers_7_attention_kv_cache_past_k_caches, quantized_decomposed_dequantize_per_tensor_default_1648); b_layers_7_attention_kv_cache_past_k_caches = quantized_decomposed_dequantize_per_tensor_default_1648 = None 2025-06-05T23:26:41.0099243Z 2025-06-05T23:26:41.0100215Z # File: .74:6725 in forward, code: copy__default_15 = torch.ops.aten.copy_.default(layers_7_attention_kv_cache_past_v_caches, dequantize_per_tensor_default_1334); layers_7_attention_kv_cache_past_v_caches = dequantize_per_tensor_default_1334 = copy__default_15 = None 2025-06-05T23:26:41.0101280Z aten_copy_default_15: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_copy_default(b_layers_7_attention_kv_cache_past_v_caches, quantized_decomposed_dequantize_per_tensor_default_1661); b_layers_7_attention_kv_cache_past_v_caches = quantized_decomposed_dequantize_per_tensor_default_1661 = None 2025-06-05T23:26:41.0101367Z 2025-06-05T23:26:41.0102316Z # File: .74:6726 in forward, code: copy__default_16 = torch.ops.aten.copy_.default(layers_8_attention_kv_cache_past_k_caches, dequantize_per_tensor_default_1495); layers_8_attention_kv_cache_past_k_caches = dequantize_per_tensor_default_1495 = copy__default_16 = None 2025-06-05T23:26:41.0103385Z aten_copy_default_16: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_copy_default(b_layers_8_attention_kv_cache_past_k_caches, quantized_decomposed_dequantize_per_tensor_default_1850); b_layers_8_attention_kv_cache_past_k_caches = quantized_decomposed_dequantize_per_tensor_default_1850 = None 2025-06-05T23:26:41.0103474Z 2025-06-05T23:26:41.0104424Z # File: .74:6727 in forward, code: copy__default_17 = torch.ops.aten.copy_.default(layers_8_attention_kv_cache_past_v_caches, dequantize_per_tensor_default_1496); layers_8_attention_kv_cache_past_v_caches = dequantize_per_tensor_default_1496 = copy__default_17 = None 2025-06-05T23:26:41.0105472Z aten_copy_default_17: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_copy_default(b_layers_8_attention_kv_cache_past_v_caches, quantized_decomposed_dequantize_per_tensor_default_1863); b_layers_8_attention_kv_cache_past_v_caches = quantized_decomposed_dequantize_per_tensor_default_1863 = None 2025-06-05T23:26:41.0105548Z 2025-06-05T23:26:41.0106497Z # File: .74:6728 in forward, code: copy__default_18 = torch.ops.aten.copy_.default(layers_9_attention_kv_cache_past_k_caches, dequantize_per_tensor_default_1657); layers_9_attention_kv_cache_past_k_caches = dequantize_per_tensor_default_1657 = copy__default_18 = None 2025-06-05T23:26:41.0107550Z aten_copy_default_18: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_copy_default(b_layers_9_attention_kv_cache_past_k_caches, quantized_decomposed_dequantize_per_tensor_default_2052); b_layers_9_attention_kv_cache_past_k_caches = quantized_decomposed_dequantize_per_tensor_default_2052 = None 2025-06-05T23:26:41.0107649Z 2025-06-05T23:26:41.0108587Z # File: .74:6729 in forward, code: copy__default_19 = torch.ops.aten.copy_.default(layers_9_attention_kv_cache_past_v_caches, dequantize_per_tensor_default_1658); layers_9_attention_kv_cache_past_v_caches = dequantize_per_tensor_default_1658 = copy__default_19 = None 2025-06-05T23:26:41.0109639Z aten_copy_default_19: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_copy_default(b_layers_9_attention_kv_cache_past_v_caches, quantized_decomposed_dequantize_per_tensor_default_2065); b_layers_9_attention_kv_cache_past_v_caches = quantized_decomposed_dequantize_per_tensor_default_2065 = None 2025-06-05T23:26:41.0109716Z 2025-06-05T23:26:41.0110683Z # File: .74:6730 in forward, code: copy__default_20 = torch.ops.aten.copy_.default(layers_10_attention_kv_cache_past_k_caches, dequantize_per_tensor_default_1819); layers_10_attention_kv_cache_past_k_caches = dequantize_per_tensor_default_1819 = copy__default_20 = None 2025-06-05T23:26:41.0111801Z aten_copy_default_20: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_copy_default(b_layers_10_attention_kv_cache_past_k_caches, quantized_decomposed_dequantize_per_tensor_default_2254); b_layers_10_attention_kv_cache_past_k_caches = quantized_decomposed_dequantize_per_tensor_default_2254 = None 2025-06-05T23:26:41.0111944Z 2025-06-05T23:26:41.0112903Z # File: .74:6731 in forward, code: copy__default_21 = torch.ops.aten.copy_.default(layers_10_attention_kv_cache_past_v_caches, dequantize_per_tensor_default_1820); layers_10_attention_kv_cache_past_v_caches = dequantize_per_tensor_default_1820 = copy__default_21 = None 2025-06-05T23:26:41.0113976Z aten_copy_default_21: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_copy_default(b_layers_10_attention_kv_cache_past_v_caches, quantized_decomposed_dequantize_per_tensor_default_2267); b_layers_10_attention_kv_cache_past_v_caches = quantized_decomposed_dequantize_per_tensor_default_2267 = None 2025-06-05T23:26:41.0114052Z 2025-06-05T23:26:41.0115013Z # File: .74:6732 in forward, code: copy__default_22 = torch.ops.aten.copy_.default(layers_11_attention_kv_cache_past_k_caches, dequantize_per_tensor_default_1981); layers_11_attention_kv_cache_past_k_caches = dequantize_per_tensor_default_1981 = copy__default_22 = None 2025-06-05T23:26:41.0116076Z aten_copy_default_22: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_copy_default(b_layers_11_attention_kv_cache_past_k_caches, quantized_decomposed_dequantize_per_tensor_default_2456); b_layers_11_attention_kv_cache_past_k_caches = quantized_decomposed_dequantize_per_tensor_default_2456 = None 2025-06-05T23:26:41.0116166Z 2025-06-05T23:26:41.0117118Z # File: .74:6733 in forward, code: copy__default_23 = torch.ops.aten.copy_.default(layers_11_attention_kv_cache_past_v_caches, dequantize_per_tensor_default_1982); layers_11_attention_kv_cache_past_v_caches = dequantize_per_tensor_default_1982 = copy__default_23 = None 2025-06-05T23:26:41.0118162Z aten_copy_default_23: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_copy_default(b_layers_11_attention_kv_cache_past_v_caches, quantized_decomposed_dequantize_per_tensor_default_2469); b_layers_11_attention_kv_cache_past_v_caches = quantized_decomposed_dequantize_per_tensor_default_2469 = None 2025-06-05T23:26:41.0120115Z return (aten_copy_default, aten_copy_default_1, aten_copy_default_2, aten_copy_default_3, aten_copy_default_4, aten_copy_default_5, aten_copy_default_6, aten_copy_default_7, aten_copy_default_8, aten_copy_default_9, aten_copy_default_10, aten_copy_default_11, aten_copy_default_12, aten_copy_default_13, aten_copy_default_14, aten_copy_default_15, aten_copy_default_16, aten_copy_default_17, aten_copy_default_18, aten_copy_default_19, aten_copy_default_20, aten_copy_default_21, aten_copy_default_22, aten_copy_default_23, quantized_decomposed_dequantize_per_tensor_default_2604) 2025-06-05T23:26:41.0120191Z 2025-06-05T23:26:41.0120290Z Graph signature: 2025-06-05T23:26:41.0120367Z # inputs 2025-06-05T23:26:41.0120554Z b__frozen_param0: BUFFER target='_frozen_param0' persistent=True 2025-06-05T23:26:41.0120734Z b__frozen_param1: BUFFER target='_frozen_param1' persistent=True 2025-06-05T23:26:41.0120920Z b__frozen_param2: BUFFER target='_frozen_param2' persistent=True 2025-06-05T23:26:41.0121097Z b__frozen_param3: BUFFER target='_frozen_param3' persistent=True 2025-06-05T23:26:41.0121270Z b__frozen_param4: BUFFER target='_frozen_param4' persistent=True 2025-06-05T23:26:41.0121455Z b__frozen_param5: BUFFER target='_frozen_param5' persistent=True 2025-06-05T23:26:41.0121630Z b__frozen_param6: BUFFER target='_frozen_param6' persistent=True 2025-06-05T23:26:41.0121809Z b__frozen_param7: BUFFER target='_frozen_param7' persistent=True 2025-06-05T23:26:41.0121994Z b__frozen_param8: BUFFER target='_frozen_param8' persistent=True 2025-06-05T23:26:41.0122167Z b__frozen_param9: BUFFER target='_frozen_param9' persistent=True 2025-06-05T23:26:41.0122357Z b__frozen_param10: BUFFER target='_frozen_param10' persistent=True 2025-06-05T23:26:41.0122541Z b__frozen_param11: BUFFER target='_frozen_param11' persistent=True 2025-06-05T23:26:41.0122760Z b__frozen_param12: BUFFER target='_frozen_param12' persistent=True 2025-06-05T23:26:41.0122943Z b__frozen_param13: BUFFER target='_frozen_param13' persistent=True 2025-06-05T23:26:41.0123150Z b__frozen_param14: BUFFER target='_frozen_param14' persistent=True 2025-06-05T23:26:41.0123349Z b__frozen_param15: BUFFER target='_frozen_param15' persistent=True 2025-06-05T23:26:41.0123531Z b__frozen_param16: BUFFER target='_frozen_param16' persistent=True 2025-06-05T23:26:41.0123714Z b__frozen_param17: BUFFER target='_frozen_param17' persistent=True 2025-06-05T23:26:41.0123908Z b__frozen_param18: BUFFER target='_frozen_param18' persistent=True 2025-06-05T23:26:41.0124092Z b__frozen_param19: BUFFER target='_frozen_param19' persistent=True 2025-06-05T23:26:41.0124277Z b__frozen_param20: BUFFER target='_frozen_param20' persistent=True 2025-06-05T23:26:41.0124510Z b__frozen_param21: BUFFER target='_frozen_param21' persistent=True 2025-06-05T23:26:41.0124693Z b__frozen_param22: BUFFER target='_frozen_param22' persistent=True 2025-06-05T23:26:41.0124877Z b__frozen_param23: BUFFER target='_frozen_param23' persistent=True 2025-06-05T23:26:41.0125062Z b__frozen_param24: BUFFER target='_frozen_param24' persistent=True 2025-06-05T23:26:41.0125260Z b__frozen_param25: BUFFER target='_frozen_param25' persistent=True 2025-06-05T23:26:41.0125442Z b__frozen_param26: BUFFER target='_frozen_param26' persistent=True 2025-06-05T23:26:41.0125624Z b__frozen_param27: BUFFER target='_frozen_param27' persistent=True 2025-06-05T23:26:41.0125820Z b__frozen_param28: BUFFER target='_frozen_param28' persistent=True 2025-06-05T23:26:41.0126002Z b__frozen_param29: BUFFER target='_frozen_param29' persistent=True 2025-06-05T23:26:41.0126183Z b__frozen_param30: BUFFER target='_frozen_param30' persistent=True 2025-06-05T23:26:41.0126380Z b__frozen_param31: BUFFER target='_frozen_param31' persistent=True 2025-06-05T23:26:41.0126564Z b__frozen_param32: BUFFER target='_frozen_param32' persistent=True 2025-06-05T23:26:41.0126746Z b__frozen_param33: BUFFER target='_frozen_param33' persistent=True 2025-06-05T23:26:41.0126944Z b__frozen_param34: BUFFER target='_frozen_param34' persistent=True 2025-06-05T23:26:41.0127128Z b__frozen_param35: BUFFER target='_frozen_param35' persistent=True 2025-06-05T23:26:41.0127310Z b__frozen_param36: BUFFER target='_frozen_param36' persistent=True 2025-06-05T23:26:41.0127492Z b__frozen_param37: BUFFER target='_frozen_param37' persistent=True 2025-06-05T23:26:41.0127710Z b__frozen_param38: BUFFER target='_frozen_param38' persistent=True 2025-06-05T23:26:41.0127895Z b__frozen_param39: BUFFER target='_frozen_param39' persistent=True 2025-06-05T23:26:41.0128082Z b__frozen_param40: BUFFER target='_frozen_param40' persistent=True 2025-06-05T23:26:41.0128278Z b__frozen_param41: BUFFER target='_frozen_param41' persistent=True 2025-06-05T23:26:41.0128460Z b__frozen_param42: BUFFER target='_frozen_param42' persistent=True 2025-06-05T23:26:41.0128644Z b__frozen_param43: BUFFER target='_frozen_param43' persistent=True 2025-06-05T23:26:41.0128854Z b__frozen_param44: BUFFER target='_frozen_param44' persistent=True 2025-06-05T23:26:41.0129039Z b__frozen_param45: BUFFER target='_frozen_param45' persistent=True 2025-06-05T23:26:41.0129223Z b__frozen_param46: BUFFER target='_frozen_param46' persistent=True 2025-06-05T23:26:41.0129407Z b__frozen_param47: BUFFER target='_frozen_param47' persistent=True 2025-06-05T23:26:41.0129606Z b__frozen_param48: BUFFER target='_frozen_param48' persistent=True 2025-06-05T23:26:41.0129790Z b__frozen_param49: BUFFER target='_frozen_param49' persistent=True 2025-06-05T23:26:41.0129973Z b__frozen_param50: BUFFER target='_frozen_param50' persistent=True 2025-06-05T23:26:41.0130175Z b__frozen_param51: BUFFER target='_frozen_param51' persistent=True 2025-06-05T23:26:41.0130360Z b__frozen_param52: BUFFER target='_frozen_param52' persistent=True 2025-06-05T23:26:41.0130572Z b__frozen_param53: BUFFER target='_frozen_param53' persistent=True 2025-06-05T23:26:41.0130796Z b__frozen_param54: BUFFER target='_frozen_param54' persistent=True 2025-06-05T23:26:41.0130979Z b__frozen_param55: BUFFER target='_frozen_param55' persistent=True 2025-06-05T23:26:41.0131162Z b__frozen_param56: BUFFER target='_frozen_param56' persistent=True 2025-06-05T23:26:41.0131361Z b__frozen_param57: BUFFER target='_frozen_param57' persistent=True 2025-06-05T23:26:41.0131546Z b__frozen_param58: BUFFER target='_frozen_param58' persistent=True 2025-06-05T23:26:41.0131732Z b__frozen_param59: BUFFER target='_frozen_param59' persistent=True 2025-06-05T23:26:41.0131917Z b__frozen_param60: BUFFER target='_frozen_param60' persistent=True 2025-06-05T23:26:41.0132115Z b__frozen_param61: BUFFER target='_frozen_param61' persistent=True 2025-06-05T23:26:41.0132325Z b__frozen_param62: BUFFER target='_frozen_param62' persistent=True 2025-06-05T23:26:41.0132511Z b__frozen_param63: BUFFER target='_frozen_param63' persistent=True 2025-06-05T23:26:41.0132714Z b__frozen_param64: BUFFER target='_frozen_param64' persistent=True 2025-06-05T23:26:41.0132900Z b__frozen_param65: BUFFER target='_frozen_param65' persistent=True 2025-06-05T23:26:41.0133084Z b__frozen_param66: BUFFER target='_frozen_param66' persistent=True 2025-06-05T23:26:41.0133283Z b__frozen_param67: BUFFER target='_frozen_param67' persistent=True 2025-06-05T23:26:41.0133468Z b__frozen_param68: BUFFER target='_frozen_param68' persistent=True 2025-06-05T23:26:41.0133653Z b__frozen_param69: BUFFER target='_frozen_param69' persistent=True 2025-06-05T23:26:41.0133853Z b__frozen_param70: BUFFER target='_frozen_param70' persistent=True 2025-06-05T23:26:41.0134034Z b__frozen_param71: BUFFER target='_frozen_param71' persistent=True 2025-06-05T23:26:41.0134218Z b__frozen_param72: BUFFER target='_frozen_param72' persistent=True 2025-06-05T23:26:41.0134404Z b__frozen_param73: BUFFER target='_frozen_param73' persistent=True 2025-06-05T23:26:41.0134601Z b__frozen_param74: BUFFER target='_frozen_param74' persistent=True 2025-06-05T23:26:41.0134787Z b__frozen_param75: BUFFER target='_frozen_param75' persistent=True 2025-06-05T23:26:41.0134968Z b__frozen_param76: BUFFER target='_frozen_param76' persistent=True 2025-06-05T23:26:41.0135166Z b__frozen_param77: BUFFER target='_frozen_param77' persistent=True 2025-06-05T23:26:41.0135351Z b__frozen_param78: BUFFER target='_frozen_param78' persistent=True 2025-06-05T23:26:41.0135557Z b__frozen_param79: BUFFER target='_frozen_param79' persistent=True 2025-06-05T23:26:41.0135754Z b__frozen_param80: BUFFER target='_frozen_param80' persistent=True 2025-06-05T23:26:41.0135938Z b__frozen_param81: BUFFER target='_frozen_param81' persistent=True 2025-06-05T23:26:41.0136120Z b__frozen_param82: BUFFER target='_frozen_param82' persistent=True 2025-06-05T23:26:41.0136317Z b__frozen_param83: BUFFER target='_frozen_param83' persistent=True 2025-06-05T23:26:41.0136497Z b__frozen_param84: BUFFER target='_frozen_param84' persistent=True 2025-06-05T23:26:41.0136681Z b__frozen_param85: BUFFER target='_frozen_param85' persistent=True 2025-06-05T23:26:41.0136867Z b__frozen_param86: BUFFER target='_frozen_param86' persistent=True 2025-06-05T23:26:41.0137060Z b__frozen_param87: BUFFER target='_frozen_param87' persistent=True 2025-06-05T23:26:41.0137241Z b__frozen_param88: BUFFER target='_frozen_param88' persistent=True 2025-06-05T23:26:41.0137425Z b__frozen_param89: BUFFER target='_frozen_param89' persistent=True 2025-06-05T23:26:41.0137618Z b__frozen_param90: BUFFER target='_frozen_param90' persistent=True 2025-06-05T23:26:41.0137801Z b__frozen_param91: BUFFER target='_frozen_param91' persistent=True 2025-06-05T23:26:41.0137986Z b__frozen_param92: BUFFER target='_frozen_param92' persistent=True 2025-06-05T23:26:41.0138178Z b__frozen_param93: BUFFER target='_frozen_param93' persistent=True 2025-06-05T23:26:41.0138383Z b__frozen_param94: BUFFER target='_frozen_param94' persistent=True 2025-06-05T23:26:41.0138589Z b__frozen_param95: BUFFER target='_frozen_param95' persistent=True 2025-06-05T23:26:41.0138782Z b__frozen_param96: BUFFER target='_frozen_param96' persistent=True 2025-06-05T23:26:41.0138963Z b__frozen_param97: BUFFER target='_frozen_param97' persistent=True 2025-06-05T23:26:41.0139146Z b__frozen_param98: BUFFER target='_frozen_param98' persistent=True 2025-06-05T23:26:41.0139330Z b__frozen_param99: BUFFER target='_frozen_param99' persistent=True 2025-06-05T23:26:41.0139540Z b__frozen_param100: BUFFER target='_frozen_param100' persistent=True 2025-06-05T23:26:41.0139732Z b__frozen_param101: BUFFER target='_frozen_param101' persistent=True 2025-06-05T23:26:41.0139948Z b__frozen_param102: BUFFER target='_frozen_param102' persistent=True 2025-06-05T23:26:41.0140151Z b__frozen_param103: BUFFER target='_frozen_param103' persistent=True 2025-06-05T23:26:41.0140342Z b__frozen_param104: BUFFER target='_frozen_param104' persistent=True 2025-06-05T23:26:41.0140531Z b__frozen_param105: BUFFER target='_frozen_param105' persistent=True 2025-06-05T23:26:41.0140736Z b__frozen_param106: BUFFER target='_frozen_param106' persistent=True 2025-06-05T23:26:41.0140925Z b__frozen_param107: BUFFER target='_frozen_param107' persistent=True 2025-06-05T23:26:41.0141116Z b__frozen_param108: BUFFER target='_frozen_param108' persistent=True 2025-06-05T23:26:41.0141308Z b__frozen_param109: BUFFER target='_frozen_param109' persistent=True 2025-06-05T23:26:41.0141515Z b__frozen_param110: BUFFER target='_frozen_param110' persistent=True 2025-06-05T23:26:41.0141706Z b__frozen_param111: BUFFER target='_frozen_param111' persistent=True 2025-06-05T23:26:41.0141899Z b__frozen_param112: BUFFER target='_frozen_param112' persistent=True 2025-06-05T23:26:41.0142105Z b__frozen_param113: BUFFER target='_frozen_param113' persistent=True 2025-06-05T23:26:41.0142297Z b__frozen_param114: BUFFER target='_frozen_param114' persistent=True 2025-06-05T23:26:41.0142487Z b__frozen_param115: BUFFER target='_frozen_param115' persistent=True 2025-06-05T23:26:41.0142690Z b__frozen_param116: BUFFER target='_frozen_param116' persistent=True 2025-06-05T23:26:41.0142881Z b__frozen_param117: BUFFER target='_frozen_param117' persistent=True 2025-06-05T23:26:41.0143072Z b__frozen_param118: BUFFER target='_frozen_param118' persistent=True 2025-06-05T23:26:41.0143281Z b__frozen_param119: BUFFER target='_frozen_param119' persistent=True 2025-06-05T23:26:41.0143499Z b__frozen_param120: BUFFER target='_frozen_param120' persistent=True 2025-06-05T23:26:41.0143691Z b__frozen_param121: BUFFER target='_frozen_param121' persistent=True 2025-06-05T23:26:41.0143885Z b__frozen_param122: BUFFER target='_frozen_param122' persistent=True 2025-06-05T23:26:41.0144089Z b__frozen_param123: BUFFER target='_frozen_param123' persistent=True 2025-06-05T23:26:41.0144281Z b__frozen_param124: BUFFER target='_frozen_param124' persistent=True 2025-06-05T23:26:41.0144470Z b__frozen_param125: BUFFER target='_frozen_param125' persistent=True 2025-06-05T23:26:41.0144674Z b__frozen_param126: BUFFER target='_frozen_param126' persistent=True 2025-06-05T23:26:41.0144863Z b__frozen_param127: BUFFER target='_frozen_param127' persistent=True 2025-06-05T23:26:41.0145052Z b__frozen_param128: BUFFER target='_frozen_param128' persistent=True 2025-06-05T23:26:41.0145253Z b__frozen_param129: BUFFER target='_frozen_param129' persistent=True 2025-06-05T23:26:41.0145444Z b__frozen_param130: BUFFER target='_frozen_param130' persistent=True 2025-06-05T23:26:41.0145635Z b__frozen_param131: BUFFER target='_frozen_param131' persistent=True 2025-06-05T23:26:41.0145837Z b__frozen_param132: BUFFER target='_frozen_param132' persistent=True 2025-06-05T23:26:41.0146027Z b__frozen_param133: BUFFER target='_frozen_param133' persistent=True 2025-06-05T23:26:41.0146241Z b__frozen_param134: BUFFER target='_frozen_param134' persistent=True 2025-06-05T23:26:41.0146432Z b__frozen_param135: BUFFER target='_frozen_param135' persistent=True 2025-06-05T23:26:41.0146662Z b__frozen_param136: BUFFER target='_frozen_param136' persistent=True 2025-06-05T23:26:41.0146851Z b__frozen_param137: BUFFER target='_frozen_param137' persistent=True 2025-06-05T23:26:41.0147041Z b__frozen_param138: BUFFER target='_frozen_param138' persistent=True 2025-06-05T23:26:41.0147244Z b__frozen_param139: BUFFER target='_frozen_param139' persistent=True 2025-06-05T23:26:41.0147435Z b__frozen_param140: BUFFER target='_frozen_param140' persistent=True 2025-06-05T23:26:41.0147626Z b__frozen_param141: BUFFER target='_frozen_param141' persistent=True 2025-06-05T23:26:41.0147830Z b__frozen_param142: BUFFER target='_frozen_param142' persistent=True 2025-06-05T23:26:41.0148044Z b__frozen_param143: BUFFER target='_frozen_param143' persistent=True 2025-06-05T23:26:41.0148237Z b__frozen_param144: BUFFER target='_frozen_param144' persistent=True 2025-06-05T23:26:41.0148440Z b__frozen_param145: BUFFER target='_frozen_param145' persistent=True 2025-06-05T23:26:41.0148632Z b__frozen_param146: BUFFER target='_frozen_param146' persistent=True 2025-06-05T23:26:41.0148826Z b__frozen_param147: BUFFER target='_frozen_param147' persistent=True 2025-06-05T23:26:41.0149015Z b__frozen_param148: BUFFER target='_frozen_param148' persistent=True 2025-06-05T23:26:41.0149277Z b__frozen_param149: BUFFER target='_frozen_param149' persistent=True 2025-06-05T23:26:41.0149542Z b__frozen_param150: BUFFER target='_frozen_param150' persistent=True 2025-06-05T23:26:41.0149761Z b__frozen_param151: BUFFER target='_frozen_param151' persistent=True 2025-06-05T23:26:41.0149967Z b__frozen_param152: BUFFER target='_frozen_param152' persistent=True 2025-06-05T23:26:41.0150160Z b__frozen_param153: BUFFER target='_frozen_param153' persistent=True 2025-06-05T23:26:41.0150355Z b__frozen_param154: BUFFER target='_frozen_param154' persistent=True 2025-06-05T23:26:41.0150561Z b__frozen_param155: BUFFER target='_frozen_param155' persistent=True 2025-06-05T23:26:41.0150755Z b__frozen_param156: BUFFER target='_frozen_param156' persistent=True 2025-06-05T23:26:41.0151017Z b__frozen_param157: BUFFER target='_frozen_param157' persistent=True 2025-06-05T23:26:41.0151210Z b__frozen_param158: BUFFER target='_frozen_param158' persistent=True 2025-06-05T23:26:41.0151414Z b__frozen_param159: BUFFER target='_frozen_param159' persistent=True 2025-06-05T23:26:41.0151650Z b__frozen_param160: BUFFER target='_frozen_param160' persistent=True 2025-06-05T23:26:52.8540937Z b_layers_0_attention_kv_cache_past_k_caches: BUFFER target='layers.0.attention.kv_cache.past_k_caches' persistent=True 2025-06-05T23:26:52.8541912Z b_layers_0_attention_kv_cache_past_v_caches: BUFFER target='layers.0.attention.kv_cache.past_v_caches' persistent=True 2025-06-05T23:26:52.8542814Z b_layers_1_attention_kv_cache_past_k_caches: BUFFER target='layers.1.attention.kv_cache.past_k_caches' persistent=True 2025-06-05T23:26:52.8543694Z b_layers_1_attention_kv_cache_past_v_caches: BUFFER target='layers.1.attention.kv_cache.past_v_caches' persistent=True 2025-06-05T23:26:52.8544578Z b_layers_2_attention_kv_cache_past_k_caches: BUFFER target='layers.2.attention.kv_cache.past_k_caches' persistent=True 2025-06-05T23:26:52.8545485Z b_layers_2_attention_kv_cache_past_v_caches: BUFFER target='layers.2.attention.kv_cache.past_v_caches' persistent=True 2025-06-05T23:26:52.8546376Z b_layers_3_attention_kv_cache_past_k_caches: BUFFER target='layers.3.attention.kv_cache.past_k_caches' persistent=True 2025-06-05T23:26:52.8547408Z b_layers_3_attention_kv_cache_past_v_caches: BUFFER target='layers.3.attention.kv_cache.past_v_caches' persistent=True 2025-06-05T23:26:52.8548414Z b_layers_4_attention_kv_cache_past_k_caches: BUFFER target='layers.4.attention.kv_cache.past_k_caches' persistent=True 2025-06-05T23:26:52.8549522Z b_layers_4_attention_kv_cache_past_v_caches: BUFFER target='layers.4.attention.kv_cache.past_v_caches' persistent=True 2025-06-05T23:26:52.8550482Z b_layers_5_attention_kv_cache_past_k_caches: BUFFER target='layers.5.attention.kv_cache.past_k_caches' persistent=True 2025-06-05T23:26:52.8551442Z b_layers_5_attention_kv_cache_past_v_caches: BUFFER target='layers.5.attention.kv_cache.past_v_caches' persistent=True 2025-06-05T23:26:52.8552334Z b_layers_6_attention_kv_cache_past_k_caches: BUFFER target='layers.6.attention.kv_cache.past_k_caches' persistent=True 2025-06-05T23:26:52.8553306Z b_layers_6_attention_kv_cache_past_v_caches: BUFFER target='layers.6.attention.kv_cache.past_v_caches' persistent=True 2025-06-05T23:26:52.8554227Z b_layers_7_attention_kv_cache_past_k_caches: BUFFER target='layers.7.attention.kv_cache.past_k_caches' persistent=True 2025-06-05T23:26:52.8555250Z b_layers_7_attention_kv_cache_past_v_caches: BUFFER target='layers.7.attention.kv_cache.past_v_caches' persistent=True 2025-06-05T23:26:52.8556126Z b_layers_8_attention_kv_cache_past_k_caches: BUFFER target='layers.8.attention.kv_cache.past_k_caches' persistent=True 2025-06-05T23:26:52.8557017Z b_layers_8_attention_kv_cache_past_v_caches: BUFFER target='layers.8.attention.kv_cache.past_v_caches' persistent=True 2025-06-05T23:26:52.8557983Z b_layers_9_attention_kv_cache_past_k_caches: BUFFER target='layers.9.attention.kv_cache.past_k_caches' persistent=True 2025-06-05T23:26:52.8558909Z b_layers_9_attention_kv_cache_past_v_caches: BUFFER target='layers.9.attention.kv_cache.past_v_caches' persistent=True 2025-06-05T23:26:52.8559954Z b_layers_10_attention_kv_cache_past_k_caches: BUFFER target='layers.10.attention.kv_cache.past_k_caches' persistent=True 2025-06-05T23:26:52.8560854Z b_layers_10_attention_kv_cache_past_v_caches: BUFFER target='layers.10.attention.kv_cache.past_v_caches' persistent=True 2025-06-05T23:26:52.8561740Z b_layers_11_attention_kv_cache_past_k_caches: BUFFER target='layers.11.attention.kv_cache.past_k_caches' persistent=True 2025-06-05T23:26:52.8562641Z b_layers_11_attention_kv_cache_past_v_caches: BUFFER target='layers.11.attention.kv_cache.past_v_caches' persistent=True 2025-06-05T23:26:52.8563232Z tokens: USER_INPUT 2025-06-05T23:26:52.8563495Z attn_options_input_pos: USER_INPUT 2025-06-05T23:26:52.8563767Z 2025-06-05T23:26:52.8563956Z # outputs 2025-06-05T23:26:52.8564340Z aten_copy_default: BUFFER_MUTATION target='layers.0.attention.kv_cache.past_k_caches' 2025-06-05T23:26:52.8565070Z aten_copy_default_1: BUFFER_MUTATION target='layers.0.attention.kv_cache.past_v_caches' 2025-06-05T23:26:52.8565728Z aten_copy_default_2: BUFFER_MUTATION target='layers.1.attention.kv_cache.past_k_caches' 2025-06-05T23:26:52.8566458Z aten_copy_default_3: BUFFER_MUTATION target='layers.1.attention.kv_cache.past_v_caches' 2025-06-05T23:26:52.8567167Z aten_copy_default_4: BUFFER_MUTATION target='layers.2.attention.kv_cache.past_k_caches' 2025-06-05T23:26:52.8567859Z aten_copy_default_5: BUFFER_MUTATION target='layers.2.attention.kv_cache.past_v_caches' 2025-06-05T23:26:52.8568510Z aten_copy_default_6: BUFFER_MUTATION target='layers.3.attention.kv_cache.past_k_caches' 2025-06-05T23:26:52.8569156Z aten_copy_default_7: BUFFER_MUTATION target='layers.3.attention.kv_cache.past_v_caches' 2025-06-05T23:26:52.8569784Z aten_copy_default_8: BUFFER_MUTATION target='layers.4.attention.kv_cache.past_k_caches' 2025-06-05T23:26:52.8570433Z aten_copy_default_9: BUFFER_MUTATION target='layers.4.attention.kv_cache.past_v_caches' 2025-06-05T23:26:52.8571076Z aten_copy_default_10: BUFFER_MUTATION target='layers.5.attention.kv_cache.past_k_caches' 2025-06-05T23:26:52.8571733Z aten_copy_default_11: BUFFER_MUTATION target='layers.5.attention.kv_cache.past_v_caches' 2025-06-05T23:26:52.8572387Z aten_copy_default_12: BUFFER_MUTATION target='layers.6.attention.kv_cache.past_k_caches' 2025-06-05T23:26:52.8573335Z aten_copy_default_13: BUFFER_MUTATION target='layers.6.attention.kv_cache.past_v_caches' 2025-06-05T23:26:52.8573998Z aten_copy_default_14: BUFFER_MUTATION target='layers.7.attention.kv_cache.past_k_caches' 2025-06-05T23:26:52.8574683Z aten_copy_default_15: BUFFER_MUTATION target='layers.7.attention.kv_cache.past_v_caches' 2025-06-05T23:26:52.8575437Z aten_copy_default_16: BUFFER_MUTATION target='layers.8.attention.kv_cache.past_k_caches' 2025-06-05T23:26:52.8576147Z aten_copy_default_17: BUFFER_MUTATION target='layers.8.attention.kv_cache.past_v_caches' 2025-06-05T23:26:52.8576847Z aten_copy_default_18: BUFFER_MUTATION target='layers.9.attention.kv_cache.past_k_caches' 2025-06-05T23:26:52.8577503Z aten_copy_default_19: BUFFER_MUTATION target='layers.9.attention.kv_cache.past_v_caches' 2025-06-05T23:26:52.8578219Z aten_copy_default_20: BUFFER_MUTATION target='layers.10.attention.kv_cache.past_k_caches' 2025-06-05T23:26:52.8578875Z aten_copy_default_21: BUFFER_MUTATION target='layers.10.attention.kv_cache.past_v_caches' 2025-06-05T23:26:52.8579534Z aten_copy_default_22: BUFFER_MUTATION target='layers.11.attention.kv_cache.past_k_caches' 2025-06-05T23:26:52.8580185Z aten_copy_default_23: BUFFER_MUTATION target='layers.11.attention.kv_cache.past_v_caches' 2025-06-05T23:26:52.8580798Z quantized_decomposed_dequantize_per_tensor_default_2604: USER_OUTPUT 2025-06-05T23:26:52.8581242Z 2025-06-05T23:26:52.8581476Z Range constraints: {} 2025-06-05T23:26:52.8581632Z 2025-06-05T23:26:52.8582764Z [WARNING 2025-06-05 23:26:39,972 export_llama_lib.py:898] The model definition in current repro is not performant, please refer to the instruction in https://github.com/pytorch/executorch/tree/main/examples/qualcomm/oss_scripts/llama/README.md for better performance. 2025-06-05T23:26:52.8584151Z [INFO 2025-06-05 23:26:52,332 export_llama_lib.py:971] Lowering model using following partitioner(s): 2025-06-05T23:26:52.8584747Z [INFO 2025-06-05 23:26:52,332 export_llama_lib.py:973] --> QnnPartitioner 2025-06-05T23:26:52.8585219Z [INFO] [Qnn ExecuTorch]: create QNN Logger with log_level 2 2025-06-05T23:26:52.8585669Z [WARNING] [Qnn ExecuTorch]: QnnDsp Initializing HtpProvider 2025-06-05T23:26:52.8585961Z 2025-06-05T23:26:52.8586253Z [INFO] [Qnn ExecuTorch]: Initialize Qnn backend parameters for Qnn executorch backend type 2 2025-06-05T23:26:52.8586796Z [INFO] [Qnn ExecuTorch]: Caching: Caching is in SAVE MODE. 2025-06-05T23:26:52.8587285Z [WARNING] [Qnn ExecuTorch]: QnnDsp Performance Estimates unsupported 2025-06-05T23:26:52.8587609Z 2025-06-05T23:26:52.8588112Z [WARNING] [Qnn ExecuTorch]: QnnDsp Arch 68 set by custom config is different from arch associated with SoC 57, will overwrite it to 75 2025-06-05T23:26:52.8588655Z 2025-06-05T23:26:52.8588798Z [INFO] [Qnn ExecuTorch]: Running level=3 optimization. 2025-06-05T23:26:52.8589225Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:52.8589693Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:52.8590248Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:52.8590756Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:52.8591360Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:52.8591808Z [QNN Partitioner Op Support]: aten.rms_norm.default | True 2025-06-05T23:26:52.8592234Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:52.8592651Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:52.8593065Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:52.8593522Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:52.8593984Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:52.8594456Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:52.8594939Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:52.8595425Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:52.8595850Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:52.8596330Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:52.8596808Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:52.8597274Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:52.8597756Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:52.8598205Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:52.8598615Z [QNN Partitioner Op Support]: aten.sigmoid.default | True 2025-06-05T23:26:52.8599057Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:52.8599506Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:52.8600008Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:52.8600469Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:52.8600952Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:52.8601408Z [QNN Partitioner Op Support]: aten.rms_norm.default | True 2025-06-05T23:26:52.8601828Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:52.8602288Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:52.8602783Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:52.9646933Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:52.9647846Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:52.9648429Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:52.9648911Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:52.9649379Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:52.9649842Z [QNN Partitioner Op Support]: aten.matmul.default | True 2025-06-05T23:26:52.9650281Z [QNN Partitioner Op Support]: aten._softmax.default | True 2025-06-05T23:26:52.9650707Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:52.9651100Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:52.9651513Z [QNN Partitioner Op Support]: aten.matmul.default | True 2025-06-05T23:26:52.9651960Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:52.9652410Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:52.9652840Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-06-05T23:26:52.9653490Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:52.9654026Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:52.9654533Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:52.9654998Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:52.9655428Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:52.9655872Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:52.9656331Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:52.9656754Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:52.9657202Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:52.9657641Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:52.9658069Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:52.9658510Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:52.9658959Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:52.9659390Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:52.9659868Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:52.9660368Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:52.9660874Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:52.9661329Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:52.9661849Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:52.9662279Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:52.9662730Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:52.9663170Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:52.9663605Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:52.9664047Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:52.9664507Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:52.9664930Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:52.9665438Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:52.9665889Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:52.9666305Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:52.9666755Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:52.9667196Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:52.9667629Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:52.9668066Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:52.9668515Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:52.9668947Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:52.9669387Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:52.9669847Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:52.9670311Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-06-05T23:26:52.9670740Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:52.9671262Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:52.9671708Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:52.9672169Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:52.9672591Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:52.9673249Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:52.9673693Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:52.9674129Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:52.9674755Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:52.9675303Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:52.9675741Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:52.9676186Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:52.9676641Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:52.9677060Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:52.9677512Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:52.9677968Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:52.9678380Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:52.9678827Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:52.9679263Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:52.9679691Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:52.9680129Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:52.9680574Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:52.9681000Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:52.9681435Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:52.9681885Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:52.9682364Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:52.9682858Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:52.9683371Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:52.9683810Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:52.9684248Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:52.9684696Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:52.9685131Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:52.9685566Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:52.9686023Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:52.9686508Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:52.9686962Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:52.9687414Z [QNN Partitioner Op Support]: aten.index_put.default | True 2025-06-05T23:26:52.9687865Z [QNN Partitioner Op Support]: aten.index_put.default | True 2025-06-05T23:26:52.9688303Z [QNN Partitioner Op Support]: aten.index.Tensor | True 2025-06-05T23:26:52.9688736Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:52.9689234Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:52.9689694Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-06-05T23:26:52.9690203Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:52.9690689Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:52.9691157Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:52.9691586Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-06-05T23:26:52.9692025Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:52.9692521Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:52.9692956Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:52.9693359Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:52.9693741Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:52.9694135Z [QNN Partitioner Op Support]: aten.sub.Tensor | True 2025-06-05T23:26:52.9694517Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:52.9694910Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:52.9695298Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:52.9695717Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:52.9696111Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:52.9696491Z [QNN Partitioner Op Support]: aten.sub.Tensor | True 2025-06-05T23:26:52.9696886Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:52.9697266Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:52.9697693Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:52.9698306Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:52.9698798Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:52.9699244Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:52.9699674Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-06-05T23:26:52.9700121Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-06-05T23:26:52.9700555Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:52.9700998Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:52.9701430Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:52.9701870Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-06-05T23:26:52.9702313Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-06-05T23:26:52.9702788Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:52.9703231Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:52.9703700Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:52.9704142Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:52.9704574Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:52.9705032Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:52.9705509Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:52.9705972Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:52.9706456Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:52.9706914Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:52.9707405Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:52.9707869Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:52.9708348Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:52.9708832Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:52.9709292Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:52.9709755Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.0806337Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:53.0807102Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.0807979Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.0808544Z [QNN Partitioner Op Support]: aten.rms_norm.default | True 2025-06-05T23:26:53.0808961Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:53.0809402Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.0809959Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.0810598Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:53.0811078Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.0811561Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.0812018Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.0812431Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.0812896Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.0813360Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:53.0814067Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.0814557Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.0814998Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.0815467Z [QNN Partitioner Op Support]: aten.sigmoid.default | True 2025-06-05T23:26:53.0816070Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.0816599Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.0817068Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:53.0817541Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.0818027Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.0818482Z [QNN Partitioner Op Support]: aten.rms_norm.default | True 2025-06-05T23:26:53.0818899Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:53.0819309Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.0819768Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.0820278Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:53.0820741Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.0821346Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.0822042Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.0822509Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.0823010Z [QNN Partitioner Op Support]: aten.matmul.default | True 2025-06-05T23:26:53.0823455Z [QNN Partitioner Op Support]: aten._softmax.default | True 2025-06-05T23:26:53.0823882Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:53.0824269Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.0824686Z [QNN Partitioner Op Support]: aten.matmul.default | True 2025-06-05T23:26:53.0825127Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.0825599Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.0826020Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-06-05T23:26:53.0826500Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.0826974Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.0827580Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.0828099Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.0828518Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.0828969Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.0829412Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.0829838Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.0830290Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.0830730Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.0831252Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.0831695Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.0832150Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.0832576Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.0833139Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.0833681Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.0834109Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.0834556Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.0834998Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.0835425Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.0835947Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.0836404Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.0836819Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.0837274Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.0837866Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.0838292Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.0838742Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.0839184Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.0839612Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.0840055Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.0840506Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.0840939Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.0841372Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.0841817Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.0842236Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.0842684Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.0843270Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.0843772Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-06-05T23:26:53.0844241Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.0844657Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.0845106Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.0845543Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.0845971Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.0846413Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.0846864Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.0847280Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.0848223Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.0848714Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.0849496Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.0849970Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.0850414Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.0850843Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.0851280Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.0851735Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.0852169Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.0852608Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.0853098Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.0861964Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.0862623Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.0863095Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.0863520Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.0863994Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.0864607Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.0865041Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.0865480Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.0865974Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.0866630Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.0867110Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.0867564Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.0867986Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.0868435Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.0868879Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.0869306Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.0869748Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.0870211Z [QNN Partitioner Op Support]: aten.index_put.default | True 2025-06-05T23:26:53.0870660Z [QNN Partitioner Op Support]: aten.index_put.default | True 2025-06-05T23:26:53.0871254Z [QNN Partitioner Op Support]: aten.index.Tensor | True 2025-06-05T23:26:53.0871826Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.0872277Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.0872983Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-06-05T23:26:53.0873430Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.0873930Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.0874531Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.0874953Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-06-05T23:26:53.0875464Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.0875983Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.0876552Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:53.0876975Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.0877370Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.0877755Z [QNN Partitioner Op Support]: aten.sub.Tensor | True 2025-06-05T23:26:53.0878149Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.0878541Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.0878922Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:53.0879392Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.0879773Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.0880168Z [QNN Partitioner Op Support]: aten.sub.Tensor | True 2025-06-05T23:26:53.0880545Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.0881035Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.1949534Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.1950419Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.1951035Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.1951511Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.1951942Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-06-05T23:26:53.1952389Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-06-05T23:26:53.1952821Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.1953271Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.1953730Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.1954241Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-06-05T23:26:53.1954700Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-06-05T23:26:53.1955135Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.1955582Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.1956014Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.1956509Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.1957255Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.1957786Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.1958263Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:53.1958732Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.1959222Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.1959694Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.1960151Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.1960617Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:53.1961094Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.1961583Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.1962042Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.1962508Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.1963106Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:53.1963714Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.1964194Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.1964668Z [QNN Partitioner Op Support]: aten.rms_norm.default | True 2025-06-05T23:26:53.1965198Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:53.1965616Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.1966138Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.1966604Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:53.1967076Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.1967548Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.1968007Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.1968435Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.1968883Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.1969544Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:53.1970139Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.1970669Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.1971120Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.1971529Z [QNN Partitioner Op Support]: aten.sigmoid.default | True 2025-06-05T23:26:53.1971977Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.1972437Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.1973156Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:53.1973620Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.1974113Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.1974596Z [QNN Partitioner Op Support]: aten.rms_norm.default | True 2025-06-05T23:26:53.1975007Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:53.1975439Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.1975887Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.1976366Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:53.1976828Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.1977320Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.1977924Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.1978525Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.1978981Z [QNN Partitioner Op Support]: aten.matmul.default | True 2025-06-05T23:26:53.1979523Z [QNN Partitioner Op Support]: aten._softmax.default | True 2025-06-05T23:26:53.1979952Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:53.1980340Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.1980756Z [QNN Partitioner Op Support]: aten.matmul.default | True 2025-06-05T23:26:53.1981211Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.1981664Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.1982099Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-06-05T23:26:53.1982512Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.1982946Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.1983388Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.1983841Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.1984262Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.1984717Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.1985171Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.1985586Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.1986038Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.1986481Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.1986964Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.1987403Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.1987904Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.1988332Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.1988768Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.1989218Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.1989631Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.1990085Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.1990520Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.1991026Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.1991534Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.1991972Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.1992400Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.1992838Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.1993284Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.1993702Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.1994159Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.1994605Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.1995022Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.1995469Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.1995907Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.1996335Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.1996771Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.1997224Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.1997641Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.1998178Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.1998796Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.1999276Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-06-05T23:26:53.1999703Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.2000125Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.2000644Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.2001084Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.2001517Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.2001974Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.2002413Z [QNN Partitioner Op Support]: aten.select_copy.int | True 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2025-06-05T23:26:53.2007722Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.2008140Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.2008622Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.2009078Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.2009498Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.2009955Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.2010394Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.2010825Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.2011263Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.2011720Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.2012185Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.2012620Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.2013069Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.3143205Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.3144165Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.3144668Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.3145100Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.3145539Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.3146007Z [QNN Partitioner Op Support]: aten.index_put.default | True 2025-06-05T23:26:53.3146474Z [QNN Partitioner Op Support]: aten.index_put.default | True 2025-06-05T23:26:53.3146912Z [QNN Partitioner Op Support]: aten.index.Tensor | True 2025-06-05T23:26:53.3147350Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.3147859Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.3148459Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-06-05T23:26:53.3148997Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.3149485Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.3149961Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.3150400Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-06-05T23:26:53.3150915Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.3151418Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.3152134Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:53.3152539Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.3152927Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.3153328Z [QNN Partitioner Op Support]: aten.sub.Tensor | True 2025-06-05T23:26:53.3153709Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.3154108Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.3154508Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:53.3154894Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.3155286Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.3155664Z [QNN Partitioner Op Support]: aten.sub.Tensor | True 2025-06-05T23:26:53.3156057Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.3156436Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.3157015Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.3157585Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.3158023Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.3158470Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.3158901Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-06-05T23:26:53.3159449Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-06-05T23:26:53.3159883Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.3160387Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.3160816Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.3161261Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-06-05T23:26:53.3161705Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-06-05T23:26:53.3162138Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.3162585Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.3163055Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.3163654Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.3164216Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.3164678Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.3165159Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:53.3165622Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.3166104Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.3166559Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.3167015Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.3167479Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:53.3167952Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.3168433Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.3168889Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.3169388Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.3170065Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:53.3170544Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.3171018Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.3171488Z [QNN Partitioner Op Support]: aten.rms_norm.default | True 2025-06-05T23:26:53.3171912Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:53.3172322Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.3173032Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.3173587Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:53.3174068Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.3174542Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.3174996Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.3175406Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.3175871Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.3176345Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:53.3176882Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.3177367Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.3177804Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.3178285Z [QNN Partitioner Op Support]: aten.sigmoid.default | True 2025-06-05T23:26:53.3178926Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.3179408Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.3179883Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:53.3180346Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.3180832Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.3181285Z [QNN Partitioner Op Support]: aten.rms_norm.default | True 2025-06-05T23:26:53.3181784Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:53.3182198Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.3182714Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.3183185Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:53.3183643Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.3184123Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.3184619Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.3185252Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.3185749Z [QNN Partitioner Op Support]: aten.matmul.default | True 2025-06-05T23:26:53.3186268Z [QNN Partitioner Op Support]: aten._softmax.default | True 2025-06-05T23:26:53.3186689Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:53.3187077Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.3187498Z [QNN Partitioner Op Support]: aten.matmul.default | True 2025-06-05T23:26:53.3187947Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.3188411Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.3188828Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-06-05T23:26:53.3189248Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.3189666Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.3190120Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.3190572Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.3191195Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.3191787Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.3192230Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.3192665Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.3193105Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.3193567Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.3194002Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.3194443Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.3194900Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.3195372Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.3195829Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.3196273Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.3196706Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.3197163Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.3197606Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.3198038Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.3198481Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.3198935Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.3199353Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.3199953Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.3200502Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.3200940Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.3201391Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.3201834Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.3202260Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.3202697Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.3203199Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.3203615Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.3204109Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.3204560Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.3204977Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.3205422Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.3205908Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.3206405Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-06-05T23:26:53.3206905Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.3207332Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.3207823Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.4303224Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.4304130Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.4304598Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.4305061Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.4305485Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.4305944Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.4306398Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.4306825Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.4307274Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.4307717Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.4308148Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.4308585Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.4309039Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.4309551Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.4310035Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.4310591Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.4311113Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.4311699Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.4312149Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.4312789Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.4313248Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.4313696Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.4314135Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.4314575Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.4315032Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.4315450Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.4315903Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.4316339Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.4316875Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.4317426Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.4317870Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.4318328Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.4318775Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.4319230Z [QNN Partitioner Op Support]: aten.index_put.default | True 2025-06-05T23:26:53.4319686Z [QNN Partitioner Op Support]: aten.index_put.default | True 2025-06-05T23:26:53.4320218Z [QNN Partitioner Op Support]: aten.index.Tensor | True 2025-06-05T23:26:53.4320670Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.4321169Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.4321600Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-06-05T23:26:53.4322050Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.4322536Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.4323046Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.4323593Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-06-05T23:26:53.4324039Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.4324516Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.4325029Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:53.4325429Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.4325816Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.4326207Z [QNN Partitioner Op Support]: aten.sub.Tensor | True 2025-06-05T23:26:53.4326589Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.4326982Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.4327364Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:53.4327760Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.4328143Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.4328541Z [QNN Partitioner Op Support]: aten.sub.Tensor | True 2025-06-05T23:26:53.4328940Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.4329320Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.4329743Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.4330178Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.4330626Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.4331061Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.4331551Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-06-05T23:26:53.4332089Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-06-05T23:26:53.4332519Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.4332964Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.4333397Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.4333902Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-06-05T23:26:53.4334335Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-06-05T23:26:53.4334780Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.4335215Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.4335667Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.4336119Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.4336551Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.4337024Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.4337493Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:53.4338027Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.4338598Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.4339081Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.4339545Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.4340011Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:53.4340494Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.4340968Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.4341491Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.4341945Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.4342453Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:53.4342929Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.4343395Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.4343861Z [QNN Partitioner Op Support]: aten.rms_norm.default | True 2025-06-05T23:26:53.4344311Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:53.4344825Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.4345273Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.4345783Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:53.4346259Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.4346730Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.4347177Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.4347590Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.4348050Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.4348509Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:53.4348983Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.4349462Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.4349898Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.4350322Z [QNN Partitioner Op Support]: aten.sigmoid.default | True 2025-06-05T23:26:53.4350754Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.4351301Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.4351763Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:53.4352238Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.4352748Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.4353341Z [QNN Partitioner Op Support]: aten.rms_norm.default | True 2025-06-05T23:26:53.4353760Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:53.4354167Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.4354625Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.4355151Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:53.4355624Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.4356095Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.4356572Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.4357037Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.4357482Z [QNN Partitioner Op Support]: aten.matmul.default | True 2025-06-05T23:26:53.4357919Z [QNN Partitioner Op Support]: aten._softmax.default | True 2025-06-05T23:26:53.4358329Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:53.4358727Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.4359165Z [QNN Partitioner Op Support]: aten.matmul.default | True 2025-06-05T23:26:53.4359686Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.4360174Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.4360595Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-06-05T23:26:53.4361021Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.4361439Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.4361893Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.4362337Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.4362807Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.4363245Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.4363750Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.4364180Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.4364615Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.4365067Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.4365524Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.4366091Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.4366529Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.5452461Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.5453292Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.5453956Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.5454385Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.5454852Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.5455297Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.5455732Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.5456171Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.5456625Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.5457063Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.5457499Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.5457951Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.5458374Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.5458829Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.5459269Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.5459697Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.5460140Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.5460654Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.5461085Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.5461580Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.5462190Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.5462615Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.5463066Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.5463525Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.5463974Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-06-05T23:26:53.5464406Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.5464824Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.5465283Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.5465723Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.5466180Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.5466631Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.5467071Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.5467501Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.5467937Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.5468388Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.5468819Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.5469256Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.5469785Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.5470204Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.5470712Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.5471227Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.5471664Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.5472119Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.5472564Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.5473187Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.5473625Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.5474077Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.5474566Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.5475017Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.5475457Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.5475892Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.5476348Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.5476789Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.5477225Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.5477665Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.5478116Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.5478534Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.5478985Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.5479439Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.5479859Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.5480311Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.5480760Z [QNN Partitioner Op Support]: aten.index_put.default | True 2025-06-05T23:26:53.5481211Z [QNN Partitioner Op Support]: aten.index_put.default | True 2025-06-05T23:26:53.5481632Z [QNN Partitioner Op Support]: aten.index.Tensor | True 2025-06-05T23:26:53.5482075Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.5482534Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.5483031Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-06-05T23:26:53.5483544Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.5484028Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.5484506Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.5485094Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-06-05T23:26:53.5485542Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.5486026Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.5486478Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:53.5486875Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.5487260Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.5487654Z [QNN Partitioner Op Support]: aten.sub.Tensor | True 2025-06-05T23:26:53.5488035Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.5488427Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.5488807Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:53.5489198Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.5489588Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.5489969Z [QNN Partitioner Op Support]: aten.sub.Tensor | True 2025-06-05T23:26:53.5490360Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.5490814Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.5491240Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.5491728Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.5492179Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.5492617Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.5493066Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-06-05T23:26:53.5493604Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-06-05T23:26:53.5494044Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.5494485Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.5494916Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.5495396Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-06-05T23:26:53.5495829Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-06-05T23:26:53.5496273Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.5496722Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.5497154Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.5497597Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.5498026Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.5498490Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.5498958Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:53.5499436Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.5500059Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.5500524Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.5500987Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.5501455Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:53.5501928Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.5502401Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.5502871Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.5503329Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.5503789Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:53.5504300Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.5504790Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.5505366Z [QNN Partitioner Op Support]: aten.rms_norm.default | True 2025-06-05T23:26:53.5505780Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:53.5506210Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.5506680Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.5507144Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:53.5507625Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.5508100Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.5508552Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.5508965Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.5509431Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.5509910Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:53.5510373Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.5510937Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.5511385Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.5511807Z [QNN Partitioner Op Support]: aten.sigmoid.default | True 2025-06-05T23:26:53.5512284Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.5512774Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.5513251Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:53.5513841Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.5514323Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.5514780Z [QNN Partitioner Op Support]: aten.rms_norm.default | True 2025-06-05T23:26:53.5515202Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:53.6626089Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.6627028Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.6627801Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:53.6628276Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.6628765Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.6629226Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.6629699Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.6630188Z [QNN Partitioner Op Support]: aten.matmul.default | True 2025-06-05T23:26:53.6630629Z [QNN Partitioner Op Support]: aten._softmax.default | True 2025-06-05T23:26:53.6631119Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:53.6631526Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.6631925Z [QNN Partitioner Op Support]: aten.matmul.default | True 2025-06-05T23:26:53.6632380Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.6632831Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.6633268Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-06-05T23:26:53.6633761Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.6634321Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.6634837Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.6635282Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.6635712Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.6636152Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.6636607Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.6637128Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.6637586Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.6638049Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.6638476Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.6638935Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.6639381Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.6639810Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.6640254Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.6640701Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.6641134Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.6641573Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.6642024Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.6642443Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.6642893Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.6643328Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.6643764Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.6644210Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.6644759Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.6645198Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.6645693Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.6646145Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.6646562Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.6647011Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.6647455Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.6647890Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.6648340Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.6648810Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.6649239Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.6649678Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.6650138Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.6650560Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-06-05T23:26:53.6650983Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.6651412Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.6651855Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.6652307Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.6652726Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.6653176Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.6653617Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.6654053Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.6654510Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.6654955Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.6655388Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.6655829Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.6656278Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.6656691Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.6657268Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.6657905Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.6658341Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.6658793Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.6659234Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.6659668Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.6660114Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.6660565Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.6660990Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.6661449Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.6661906Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.6662324Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.6662780Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.6663222Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.6663653Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.6664098Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.6664566Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.6665002Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.6665486Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.6666058Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.6666633Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.6667094Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.6667546Z [QNN Partitioner Op Support]: aten.index_put.default | True 2025-06-05T23:26:53.6667999Z [QNN Partitioner Op Support]: aten.index_put.default | True 2025-06-05T23:26:53.6668438Z [QNN Partitioner Op Support]: aten.index.Tensor | True 2025-06-05T23:26:53.6668871Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.6669333Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.6669758Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-06-05T23:26:53.6670247Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.6670732Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.6671295Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.6671715Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-06-05T23:26:53.6672166Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.6673169Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.6673694Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:53.6674190Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.6674583Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.6674983Z [QNN Partitioner Op Support]: aten.sub.Tensor | True 2025-06-05T23:26:53.6675366Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.6675761Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.6676157Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:53.6676542Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.6676947Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.6677337Z [QNN Partitioner Op Support]: aten.sub.Tensor | True 2025-06-05T23:26:53.6677732Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.6678116Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.6678546Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.6678984Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.6679612Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.6680066Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.6680500Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-06-05T23:26:53.6680950Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-06-05T23:26:53.6681384Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.6681832Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.6682266Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.6682712Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-06-05T23:26:53.6683159Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-06-05T23:26:53.6683595Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.6684040Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.6684473Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.6684923Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.6685358Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.6685815Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.6686297Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:53.6686759Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.6687307Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.6687775Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.6688364Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.6688894Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:53.6689368Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.6689840Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.7834185Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.7834979Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.7835690Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:53.7836458Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.7836934Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.7837419Z [QNN Partitioner Op Support]: aten.rms_norm.default | True 2025-06-05T23:26:53.7837830Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:53.7838264Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.7838714Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.7839193Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:53.7839666Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.7840143Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.7840593Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.7841005Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.7841464Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.7841979Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:53.7842454Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.7842936Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.7843371Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.7843793Z [QNN Partitioner Op Support]: aten.sigmoid.default | True 2025-06-05T23:26:53.7844227Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.7844695Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.7845155Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:53.7845702Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.7846194Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.7846648Z [QNN Partitioner Op Support]: aten.rms_norm.default | True 2025-06-05T23:26:53.7847072Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:53.7847480Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.7847943Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.7848405Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:53.7848881Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.7849363Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.7849821Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.7850329Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.7850793Z [QNN Partitioner Op Support]: aten.matmul.default | True 2025-06-05T23:26:53.7851264Z [QNN Partitioner Op Support]: aten._softmax.default | True 2025-06-05T23:26:53.7851753Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:53.7852204Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.7852623Z [QNN Partitioner Op Support]: aten.matmul.default | True 2025-06-05T23:26:53.7853142Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.7853612Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.7854086Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-06-05T23:26:53.7854521Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.7854957Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.7855449Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.7855907Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.7856333Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.7856796Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.7857234Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.7857774Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.7858230Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.7858669Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.7859095Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.7859535Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.7859992Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.7860454Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.7860905Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.7861355Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.7861773Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.7862329Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.7862769Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.7863200Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.7863635Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.7864084Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.7864499Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.7864949Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.7865399Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.7865812Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.7866268Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.7866811Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.7867309Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.7867748Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.7868205Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.7868633Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.7869073Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.7869524Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.7869941Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.7870389Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.7870943Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.7871405Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-06-05T23:26:53.7871827Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.7872249Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.7872916Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.7873421Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.7873855Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.7874291Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.7874878Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.7875304Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.7875814Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.7876270Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.7876688Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.7877136Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.7877573Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.7878003Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.7878442Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.7878941Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.7879497Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.7880008Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.7880457Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.7880875Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.7881326Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.7881763Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.7882190Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.7882635Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.7883073Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.7883502Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.7883937Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.7884390Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.7884803Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.7885251Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.7885805Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.7886274Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.7886720Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.7887158Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.7887584Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.7888105Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.7888570Z [QNN Partitioner Op Support]: aten.index_put.default | True 2025-06-05T23:26:53.7889006Z [QNN Partitioner Op Support]: aten.index_put.default | True 2025-06-05T23:26:53.7889442Z [QNN Partitioner Op Support]: aten.index.Tensor | True 2025-06-05T23:26:53.7889889Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.7890339Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.7890875Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-06-05T23:26:53.7891380Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.7891873Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.7892336Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.7892766Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-06-05T23:26:53.7893215Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.7893696Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.7894142Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:53.7894526Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.7894926Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.7895305Z [QNN Partitioner Op Support]: aten.sub.Tensor | True 2025-06-05T23:26:53.7895906Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.7896563Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.7897300Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:53.7897790Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.7898312Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.9005663Z [QNN Partitioner Op Support]: aten.sub.Tensor | True 2025-06-05T23:26:53.9006598Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.9007390Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.9007812Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.9008273Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.9008926Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.9009380Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.9009820Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-06-05T23:26:53.9010269Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-06-05T23:26:53.9010717Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.9011150Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.9011592Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.9012025Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-06-05T23:26:53.9012468Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-06-05T23:26:53.9012900Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.9013345Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.9013788Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.9014221Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.9014663Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.9015116Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.9015605Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:53.9016069Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.9016558Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.9017019Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.9017481Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.9018134Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:53.9018602Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.9019093Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.9019559Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.9020025Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.9020489Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:53.9020964Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.9021446Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.9021899Z [QNN Partitioner Op Support]: aten.rms_norm.default | True 2025-06-05T23:26:53.9022322Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:53.9022729Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.9023187Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.9023645Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:53.9024113Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.9024594Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.9025024Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.9025506Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.9025953Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.9026533Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:53.9026992Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.9027477Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.9027923Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.9028330Z [QNN Partitioner Op Support]: aten.sigmoid.default | True 2025-06-05T23:26:53.9028775Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.9029227Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.9029699Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:53.9030193Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.9030674Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.9031234Z [QNN Partitioner Op Support]: aten.rms_norm.default | True 2025-06-05T23:26:53.9031667Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:53.9032095Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:53.9032546Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.9033021Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:53.9033597Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.9034096Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:53.9034557Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.9035022Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.9035475Z [QNN Partitioner Op Support]: aten.matmul.default | True 2025-06-05T23:26:53.9035898Z [QNN Partitioner Op Support]: aten._softmax.default | True 2025-06-05T23:26:53.9036321Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:53.9036706Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:53.9037121Z [QNN Partitioner Op Support]: aten.matmul.default | True 2025-06-05T23:26:53.9037558Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.9038018Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.9038450Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-06-05T23:26:53.9038860Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.9039337Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.9039780Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.9040342Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.9040899Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.9041360Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.9041819Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.9042242Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.9042700Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.9043138Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.9043567Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.9044003Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.9044458Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.9044872Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.9045321Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.9045774Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.9046194Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.9046698Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.9047135Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.9047616Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.9048057Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.9048533Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.9049065Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.9049597Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.9050053Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.9050470Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.9050915Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.9051397Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.9051823Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.9052277Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.9052717Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.9053148Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.9053585Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.9054037Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.9054453Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.9054906Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.9055356Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:53.9055791Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-06-05T23:26:53.9056217Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.9056636Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.9057087Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.9057527Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.9057958Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.9058397Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.9058853Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.9059286Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.9059728Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.9060206Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.9060628Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.9061080Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.9061520Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.9061949Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.9062402Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.9062844Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.9063285Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.9063724Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.9064176Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.9064594Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.9065044Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.9065493Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.9065906Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.9066358Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.9066797Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.9067227Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:53.9067699Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:53.9068182Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.0222339Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.0222889Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.0223374Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.0223799Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.0224274Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.0224717Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.0225145Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.0225821Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.0226272Z [QNN Partitioner Op Support]: aten.index_put.default | True 2025-06-05T23:26:54.0226729Z [QNN Partitioner Op Support]: aten.index_put.default | True 2025-06-05T23:26:54.0227151Z [QNN Partitioner Op Support]: aten.index.Tensor | True 2025-06-05T23:26:54.0227606Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.0228115Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:54.0228652Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-06-05T23:26:54.0229111Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:54.0229594Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:54.0230069Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:54.0230487Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-06-05T23:26:54.0231024Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:54.0231510Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:54.0231964Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:54.0232354Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:54.0232755Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:54.0233156Z [QNN Partitioner Op Support]: aten.sub.Tensor | True 2025-06-05T23:26:54.0233536Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:54.0233926Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:54.0234307Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:54.0234697Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:54.0235177Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:54.0235575Z [QNN Partitioner Op Support]: aten.sub.Tensor | True 2025-06-05T23:26:54.0235976Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:54.0236387Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:54.0236960Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:54.0237503Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:54.0237958Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:54.0238412Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:54.0238848Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-06-05T23:26:54.0239293Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-06-05T23:26:54.0239726Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:54.0240168Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:54.0240600Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:54.0241043Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-06-05T23:26:54.0241483Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-06-05T23:26:54.0241935Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:54.0242367Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:54.0242932Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:54.0243532Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:54.0244024Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:54.0244489Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.0244957Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:54.0245437Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.0245917Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:54.0246397Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:54.0246847Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.0247376Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:54.0247854Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.0248331Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:54.0248805Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:54.0249295Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.0249909Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:54.0250390Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.0250871Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:54.0251342Z [QNN Partitioner Op Support]: aten.rms_norm.default | True 2025-06-05T23:26:54.0251750Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:54.0252176Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:54.0252631Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.0253102Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:54.0253565Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.0254046Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:54.0254494Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:54.0254903Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:54.0255359Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.0255819Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:54.0256289Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.0256818Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:54.0257267Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:54.0257671Z [QNN Partitioner Op Support]: aten.sigmoid.default | True 2025-06-05T23:26:54.0258172Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:54.0258709Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.0259172Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:54.0259649Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.0260125Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:54.0260594Z [QNN Partitioner Op Support]: aten.rms_norm.default | True 2025-06-05T23:26:54.0261004Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:54.0261426Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:54.0261888Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.0262349Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:54.0262820Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.0263289Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:54.0263762Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:54.0264290Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.0264873Z [QNN Partitioner Op Support]: aten.matmul.default | True 2025-06-05T23:26:54.0265389Z [QNN Partitioner Op Support]: aten._softmax.default | True 2025-06-05T23:26:54.0265801Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:54.0266206Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:54.0266610Z [QNN Partitioner Op Support]: aten.matmul.default | True 2025-06-05T23:26:54.0267065Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.0267515Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:54.0267947Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-06-05T23:26:54.0268358Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.0269273Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.0269725Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.0270166Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.0270643Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.0271277Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.0271783Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.0272197Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.0272931Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.0273442Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.0273858Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.0274311Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.0274753Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.0275242Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.0275780Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.0276279Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.0276710Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.0277145Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.0277596Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.0278007Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.0278455Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.0279005Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.0279435Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.0279896Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.0280453Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.0280994Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.0281436Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.0281886Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.0282303Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.0282754Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.0283191Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.0283625Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.0284083Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.0284526Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.0284955Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.0285392Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.0285857Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:54.0286369Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-06-05T23:26:54.1436359Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.1437302Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.1437769Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.1438219Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.1438652Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.1439094Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.1439560Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.1439980Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.1440435Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.1440968Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.1441387Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.1441843Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.1442283Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.1442715Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.1443151Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.1443743Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.1444279Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.1444721Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.1445168Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.1445585Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.1446037Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.1446480Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.1446909Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.1447367Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.1447813Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.1448254Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.1448691Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.1449144Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.1449564Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.1450197Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.1450661Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.1451078Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.1451527Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.1451964Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.1452399Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.1452837Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.1453305Z [QNN Partitioner Op Support]: aten.index_put.default | True 2025-06-05T23:26:54.1453742Z [QNN Partitioner Op Support]: aten.index_put.default | True 2025-06-05T23:26:54.1454179Z [QNN Partitioner Op Support]: aten.index.Tensor | True 2025-06-05T23:26:54.1454626Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.1455074Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:54.1455514Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-06-05T23:26:54.1455954Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:54.1456451Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:54.1457026Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:54.1457460Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-06-05T23:26:54.1458051Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:54.1458576Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:54.1459029Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:54.1459433Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:54.1459817Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:54.1460214Z [QNN Partitioner Op Support]: aten.sub.Tensor | True 2025-06-05T23:26:54.1460596Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:54.1460987Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:54.1461365Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:54.1461754Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:54.1462167Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:54.1462560Z [QNN Partitioner Op Support]: aten.sub.Tensor | True 2025-06-05T23:26:54.1462950Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:54.1463330Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:54.1463753Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:54.1464190Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:54.1464638Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:54.1465068Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:54.1465568Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-06-05T23:26:54.1466012Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-06-05T23:26:54.1466443Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:54.1466885Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:54.1467317Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:54.1467768Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-06-05T23:26:54.1468198Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-06-05T23:26:54.1468641Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:54.1469088Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:54.1469518Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:54.1469965Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:54.1470400Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:54.1470993Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.1471464Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:54.1472032Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.1472595Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:54.1473266Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:54.1473732Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.1474196Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:54.1474675Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.1475145Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:54.1475613Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:54.1476060Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.1476538Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:54.1477012Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.1477479Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:54.1477952Z [QNN Partitioner Op Support]: aten.rms_norm.default | True 2025-06-05T23:26:54.1478381Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:54.1479015Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:54.1479490Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.1480015Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:54.1480483Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.1480970Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:54.1481409Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:54.1481838Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:54.1482295Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.1482775Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:54.1483238Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.1483775Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:54.1484231Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:54.1484642Z [QNN Partitioner Op Support]: aten.sigmoid.default | True 2025-06-05T23:26:54.1485097Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:54.1485548Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.1486030Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:54.1486494Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.1486979Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:54.1487446Z [QNN Partitioner Op Support]: aten.rms_norm.default | True 2025-06-05T23:26:54.1487969Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:54.1488452Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:54.1488902Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.1489377Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:54.1489837Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.1490320Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:54.1490790Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:54.1491238Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.1491689Z [QNN Partitioner Op Support]: aten.matmul.default | True 2025-06-05T23:26:54.1492112Z [QNN Partitioner Op Support]: aten._softmax.default | True 2025-06-05T23:26:54.1492593Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:54.1492978Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:54.1493389Z [QNN Partitioner Op Support]: aten.matmul.default | True 2025-06-05T23:26:54.1493843Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.1494320Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:54.1494845Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-06-05T23:26:54.1495255Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.1495695Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.1496135Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.1496590Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.1497007Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.1497457Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.1497907Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.1498324Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.1498769Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.1499210Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.2635155Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.2636358Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.2636826Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.2637339Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.2637784Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.2638243Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.2638663Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.2639120Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.2639585Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.2639999Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.2640450Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.2640951Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.2641378Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.2641816Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.2642276Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.2642693Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.2643145Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.2643598Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.2644012Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.2644464Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.2644902Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.2645333Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.2645770Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.2646221Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.2646654Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.2647091Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.2647554Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:54.2648024Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-06-05T23:26:54.2648431Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.2648859Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.2649301Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.2649809Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.2650230Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.2650681Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.2651135Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.2651549Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.2652002Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.2652439Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.2652877Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.2653316Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.2653774Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.2654210Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.2654652Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.2655108Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.2655525Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.2655972Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.2656413Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.2656876Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.2657316Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.2657800Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.2658233Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.2658673Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.2659123Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.2659541Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.2659997Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.2660440Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.2660872Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.2661360Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.2661803Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.2662236Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.2662676Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.2663136Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.2663555Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.2664015Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.2664480Z [QNN Partitioner Op Support]: aten.index_put.default | True 2025-06-05T23:26:54.2664922Z [QNN Partitioner Op Support]: aten.index_put.default | True 2025-06-05T23:26:54.2665358Z [QNN Partitioner Op Support]: aten.index.Tensor | True 2025-06-05T23:26:54.2665794Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.2666249Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:54.2666671Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-06-05T23:26:54.2667129Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:54.2667609Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:54.2668081Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:54.2668510Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-06-05T23:26:54.2668947Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:54.2669435Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:54.2669867Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:54.2670320Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:54.2670703Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:54.2671184Z [QNN Partitioner Op Support]: aten.sub.Tensor | True 2025-06-05T23:26:54.2671581Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:54.2671958Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:54.2672353Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:54.2672925Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:54.2673323Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:54.2673702Z [QNN Partitioner Op Support]: aten.sub.Tensor | True 2025-06-05T23:26:54.2674096Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:54.2674584Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:54.2675037Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:54.2675494Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:54.2675933Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:54.2676384Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:54.2676826Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-06-05T23:26:54.2677271Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-06-05T23:26:54.2677814Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:54.2678264Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:54.2678756Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:54.2679187Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-06-05T23:26:54.2679629Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-06-05T23:26:54.2680059Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:54.2680503Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:54.2680940Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:54.2681389Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:54.2681838Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:54.2682328Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.2682808Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:54.2683275Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.2683759Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:54.2684217Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:54.2684684Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.2685167Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:54.2685625Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.2686110Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:54.2686567Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:54.2687025Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.2687486Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:54.2687958Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.2688426Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:54.2688890Z [QNN Partitioner Op Support]: aten.rms_norm.default | True 2025-06-05T23:26:54.2689315Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:54.2689726Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:54.2690185Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.2690646Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:54.2691165Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.2691637Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:54.2692082Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:54.2692502Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:54.2692952Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.2693425Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:54.2693884Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.2694371Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:54.2694805Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:54.2695221Z [QNN Partitioner Op Support]: aten.sigmoid.default | True 2025-06-05T23:26:54.2695665Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:54.2696111Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.2696585Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:54.2697045Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.3826129Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:54.3827035Z [QNN Partitioner Op Support]: aten.rms_norm.default | True 2025-06-05T23:26:54.3827475Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:54.3828207Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:54.3828681Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.3829212Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:54.3829685Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.3830162Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:54.3830636Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:54.3831201Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.3831648Z [QNN Partitioner Op Support]: aten.matmul.default | True 2025-06-05T23:26:54.3832090Z [QNN Partitioner Op Support]: aten._softmax.default | True 2025-06-05T23:26:54.3832573Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:54.3832987Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:54.3833394Z [QNN Partitioner Op Support]: aten.matmul.default | True 2025-06-05T23:26:54.3833853Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.3834460Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:54.3834901Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-06-05T23:26:54.3835326Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.3835748Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.3836205Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.3836650Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.3837085Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.3837528Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.3837989Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.3838425Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.3838870Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.3839328Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.3839747Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.3840194Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.3840632Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.3841111Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.3841699Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.3842139Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.3842568Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.3843008Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.3843458Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.3843874Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.3844326Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.3844766Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.3845193Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.3845645Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.3846081Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.3846511Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.3846949Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.3847427Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.3847945Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.3848402Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.3848856Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.3849323Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.3849782Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.3850268Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.3850710Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.3851148Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.3851609Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:54.3852039Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-06-05T23:26:54.3852448Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.3852880Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.3853320Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.3853834Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.3854247Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.3854699Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.3855142Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.3855578Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.3856035Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.3856475Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.3857002Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.3857493Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.3857946Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.3858363Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.3858817Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.3859269Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.3859684Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.3860132Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.3860575Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.3861004Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.3861443Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.3861892Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.3862320Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.3862806Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.3863258Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.3863672Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.3864123Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.3864560Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.3864996Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.3865450Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.3865887Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.3866312Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.3866748Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.3867198Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.3867613Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.3868059Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.3868504Z [QNN Partitioner Op Support]: aten.index_put.default | True 2025-06-05T23:26:54.3868954Z [QNN Partitioner Op Support]: aten.index_put.default | True 2025-06-05T23:26:54.3869385Z [QNN Partitioner Op Support]: aten.index.Tensor | True 2025-06-05T23:26:54.3869847Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.3870308Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:54.3870765Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-06-05T23:26:54.3871297Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:54.3871779Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:54.3872254Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:54.3872885Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-06-05T23:26:54.3873331Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:54.3873826Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:54.3874262Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:54.3874754Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:54.3875137Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:54.3875535Z [QNN Partitioner Op Support]: aten.sub.Tensor | True 2025-06-05T23:26:54.3875929Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:54.3876311Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:54.3876744Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:54.3877171Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:54.3877622Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:54.3878007Z [QNN Partitioner Op Support]: aten.sub.Tensor | True 2025-06-05T23:26:54.3878404Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:54.3878787Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:54.3879214Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:54.3879669Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:54.3880108Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:54.3880620Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:54.3881219Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-06-05T23:26:54.3881732Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-06-05T23:26:54.3882166Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:54.3882616Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:54.3883065Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:54.3883497Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-06-05T23:26:54.3884027Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-06-05T23:26:54.3884464Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:54.3884913Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:54.3885354Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:54.3885802Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:54.3886239Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:54.3886710Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.3887189Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:54.3887652Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.3888141Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:54.3888600Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:54.3889061Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.5060241Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:54.5060759Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.5061274Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:54.5061734Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:54.5062404Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.5062871Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:54.5063415Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.5063906Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:54.5064366Z [QNN Partitioner Op Support]: aten.rms_norm.default | True 2025-06-05T23:26:54.5064788Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:54.5065207Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:54.5065672Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.5066134Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:54.5066666Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.5067135Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:54.5067759Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:54.5068188Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:54.5068642Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.5069120Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:54.5069596Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.5070066Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:54.5070519Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:54.5071003Z [QNN Partitioner Op Support]: aten.sigmoid.default | True 2025-06-05T23:26:54.5071454Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:54.5071905Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.5072388Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:54.5073053Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.5073532Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:54.5074012Z [QNN Partitioner Op Support]: aten.rms_norm.default | True 2025-06-05T23:26:54.5074420Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:54.5074846Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:54.5075294Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.5075766Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:54.5076316Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.5076794Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:54.5077370Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:54.5077822Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.5078280Z [QNN Partitioner Op Support]: aten.matmul.default | True 2025-06-05T23:26:54.5078709Z [QNN Partitioner Op Support]: aten._softmax.default | True 2025-06-05T23:26:54.5079139Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:54.5079528Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:54.5079941Z [QNN Partitioner Op Support]: aten.matmul.default | True 2025-06-05T23:26:54.5080391Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.5080840Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:54.5081279Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-06-05T23:26:54.5081689Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.5082121Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.5082559Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.5083012Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.5083438Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.5083927Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.5084377Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.5084865Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.5085313Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.5085751Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.5086366Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.5086825Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.5087262Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.5087691Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.5088128Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.5088644Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.5089065Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.5089524Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.5089965Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.5090394Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.5090842Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.5091280Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.5091709Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.5092150Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.5092600Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.5093015Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.5093468Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.5093936Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.5094355Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.5094813Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.5095416Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.5095850Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.5096290Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.5096746Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.5097220Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.5097661Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.5098126Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:54.5098548Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-06-05T23:26:54.5098976Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.5099398Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.5099860Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.5100319Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.5100736Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.5101186Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.5101625Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.5102054Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.5102499Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.5102953Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.5103370Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.5103843Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.5104448Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.5104903Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.5105353Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.5105820Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.5106249Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.5106685Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.5107141Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.5107568Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.5108004Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.5108453Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.5108869Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.5109390Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.5109955Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.5110388Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.5110939Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.5111379Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.5111810Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.5112249Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.5112697Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.5113113Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.5113562Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.5113999Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.5114431Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-06-05T23:26:54.5114916Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.5115500Z [QNN Partitioner Op Support]: aten.index_put.default | True 2025-06-05T23:26:54.5115947Z [QNN Partitioner Op Support]: aten.index_put.default | True 2025-06-05T23:26:54.5116368Z [QNN Partitioner Op Support]: aten.index.Tensor | True 2025-06-05T23:26:54.5116812Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:54.5117259Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:54.5117688Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-06-05T23:26:54.5118137Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:54.5118667Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:54.5119143Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:54.5119560Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-06-05T23:26:54.5120017Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:54.5120499Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:54.5120949Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:54.5121351Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:54.5121892Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:54.5122287Z [QNN Partitioner Op Support]: aten.sub.Tensor | True 2025-06-05T23:26:54.5122662Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:54.5123052Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:56.5423273Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-06-05T23:26:56.5424041Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:56.5424714Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:56.5425391Z [QNN Partitioner Op Support]: aten.sub.Tensor | True 2025-06-05T23:26:56.5426068Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:56.5426749Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-06-05T23:26:56.5427752Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:56.5428538Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:56.5429390Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:56.5430151Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:56.5430992Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-06-05T23:26:56.5431747Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-06-05T23:26:56.5432600Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:56.5433359Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:56.5434137Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:56.5434910Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-06-05T23:26:56.5435740Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-06-05T23:26:56.5436590Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:56.5437519Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:56.5438607Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:56.5439514Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-06-05T23:26:56.5440352Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:56.5441288Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:56.5450642Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:56.5451650Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:56.5452488Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:56.5453309Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:56.5454101Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:56.5454926Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:56.5455758Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:56.5456577Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:56.5457444Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-06-05T23:26:56.5458234Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:56.5459044Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-06-05T23:26:56.5459862Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-06-05T23:26:56.5460853Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-06-05T23:26:56.5461665Z [QNN Partitioner Op Support]: aten.rms_norm.default | True 2025-06-05T23:26:56.5462390Z [QNN Partitioner Op Support]: aten.index.Tensor | True 2025-06-05T23:26:56.5463108Z [QNN Partitioner Op Support]: aten.index.Tensor | True 2025-06-05T23:26:56.5463854Z [QNN Partitioner Op Support]: aten.embedding.default | True 2025-06-05T23:26:56.5464621Z [QNN Partitioner Op Support]: aten._to_copy.default | True 2025-06-05T23:26:56.5465375Z [QNN Partitioner Op Support]: aten._to_copy.default | True 2025-06-05T23:26:56.5466346Z [INFO 2025-06-05 23:26:54,585 utils.py:363] The buffer node is a mutated buffer node, which is not constant. 2025-06-05T23:26:56.5467552Z [INFO 2025-06-05 23:26:54,585 utils.py:363] The buffer node is a mutated buffer node, which is not constant. 2025-06-05T23:26:56.5468733Z [INFO 2025-06-05 23:26:54,585 utils.py:363] The buffer node is a mutated buffer node, which is not constant. 2025-06-05T23:26:56.5469937Z [INFO 2025-06-05 23:26:54,585 utils.py:363] The buffer node is a mutated buffer node, which is not constant. 2025-06-05T23:26:56.5471210Z [INFO 2025-06-05 23:26:54,585 utils.py:363] The buffer node is a mutated buffer node, which is not constant. 2025-06-05T23:26:56.5472397Z [INFO 2025-06-05 23:26:54,586 utils.py:363] The buffer node is a mutated buffer node, which is not constant. 2025-06-05T23:26:56.5473934Z [INFO 2025-06-05 23:26:54,586 utils.py:363] The buffer node is a mutated buffer node, which is not constant. 2025-06-05T23:26:56.5475121Z [INFO 2025-06-05 23:26:54,586 utils.py:363] The buffer node is a mutated buffer node, which is not constant. 2025-06-05T23:26:56.5476385Z [INFO 2025-06-05 23:26:54,586 utils.py:363] The buffer node is a mutated buffer node, which is not constant. 2025-06-05T23:26:56.5477574Z [INFO 2025-06-05 23:26:54,586 utils.py:363] The buffer node is a mutated buffer node, which is not constant. 2025-06-05T23:26:56.5478757Z [INFO 2025-06-05 23:26:54,586 utils.py:363] The buffer node is a mutated buffer node, which is not constant. 2025-06-05T23:26:56.5479948Z [INFO 2025-06-05 23:26:54,586 utils.py:363] The buffer node is a mutated buffer node, which is not constant. 2025-06-05T23:26:56.5481128Z [INFO 2025-06-05 23:26:54,587 utils.py:363] The buffer node is a mutated buffer node, which is not constant. 2025-06-05T23:26:56.5482386Z [INFO 2025-06-05 23:26:54,587 utils.py:363] The buffer node is a mutated buffer node, which is not constant. 2025-06-05T23:26:56.5483583Z [INFO 2025-06-05 23:26:54,587 utils.py:363] The buffer node is a mutated buffer node, which is not constant. 2025-06-05T23:26:56.5484765Z [INFO 2025-06-05 23:26:54,587 utils.py:363] The buffer node is a mutated buffer node, which is not constant. 2025-06-05T23:26:56.5485958Z [INFO 2025-06-05 23:26:54,587 utils.py:363] The buffer node is a mutated buffer node, which is not constant. 2025-06-05T23:26:56.5487140Z [INFO 2025-06-05 23:26:54,587 utils.py:363] The buffer node is a mutated buffer node, which is not constant. 2025-06-05T23:26:56.5488340Z [INFO 2025-06-05 23:26:54,587 utils.py:363] The buffer node is a mutated buffer node, which is not constant. 2025-06-05T23:26:56.5489528Z [INFO 2025-06-05 23:26:54,588 utils.py:363] The buffer node is a mutated buffer node, which is not constant. 2025-06-05T23:26:56.5490719Z [INFO 2025-06-05 23:26:54,588 utils.py:363] The buffer node is a mutated buffer node, which is not constant. 2025-06-05T23:26:56.5491916Z [INFO 2025-06-05 23:26:54,588 utils.py:363] The buffer node is a mutated buffer node, which is not constant. 2025-06-05T23:26:56.5493097Z [INFO 2025-06-05 23:26:54,588 utils.py:363] The buffer node is a mutated buffer node, which is not constant. 2025-06-05T23:26:56.5494292Z [INFO 2025-06-05 23:26:54,588 utils.py:363] The buffer node is a mutated buffer node, which is not constant. 2025-06-05T23:26:56.5495244Z [INFO] [Qnn ExecuTorch]: Destroy Qnn backend parameters 2025-06-05T23:26:56.5495861Z [INFO] [Qnn ExecuTorch]: Destroy Qnn context 2025-06-05T23:26:56.5496479Z [INFO] [Qnn ExecuTorch]: Destroy Qnn device 2025-06-05T23:26:56.5497027Z [INFO] [Qnn ExecuTorch]: Destroy Qnn backend 2025-06-05T23:26:56.5497642Z [INFO] [Qnn ExecuTorch]: Destroy Qnn backend parameters 2025-06-05T23:26:56.5498331Z [INFO] [Qnn ExecuTorch]: create QNN Logger with log_level 2 2025-06-05T23:26:56.5499292Z [INFO] [Qnn ExecuTorch]: Initialize Qnn backend parameters for Qnn executorch backend type 2 2025-06-05T23:26:56.5500270Z [INFO] [Qnn ExecuTorch]: Caching: Caching is in SAVE MODE. 2025-06-05T23:26:56.5501078Z [WARNING] [Qnn ExecuTorch]: QnnDsp Performance Estimates unsupported 2025-06-05T23:26:56.5501665Z 2025-06-05T23:26:56.5502429Z [WARNING] [Qnn ExecuTorch]: QnnDsp Arch 68 set by custom config is different from arch associated with SoC 57, will overwrite it to 75 2025-06-05T23:26:56.5503400Z 2025-06-05T23:26:56.5503636Z [INFO] [Qnn ExecuTorch]: Running level=3 optimization. 2025-06-05T23:26:56.5504423Z [INFO 2025-06-05 23:26:55,224 qnn_preprocess.py:155] Processing Method(0): (1/1) 2025-06-05T23:26:56.5505491Z [INFO 2025-06-05 23:26:56,475 qnn_preprocess.py:50] Visiting: aten__to_copy_default, aten._to_copy.default 2025-06-05T23:26:56.5506716Z [INFO 2025-06-05 23:26:56,476 qnn_preprocess.py:50] Visiting: aten__to_copy_default_1, aten._to_copy.default 2025-06-05T23:26:56.5507983Z [INFO 2025-06-05 23:26:56,476 qnn_preprocess.py:50] Visiting: aten_embedding_default, aten.embedding.default 2025-06-05T23:26:56.5509229Z [INFO 2025-06-05 23:26:56,523 qnn_preprocess.py:50] Visiting: aten_index_tensor, aten.index.Tensor 2025-06-05T23:26:56.5510387Z [INFO 2025-06-05 23:26:56,524 qnn_preprocess.py:50] Visiting: aten_index_tensor_1, aten.index.Tensor 2025-06-05T23:26:56.5511656Z [INFO 2025-06-05 23:26:56,526 qnn_preprocess.py:50] Visiting: aten_index_tensor_2, aten.index.Tensor 2025-06-05T23:26:56.5512800Z [INFO 2025-06-05 23:26:56,527 qnn_preprocess.py:50] Visiting: aten_index_tensor_3, aten.index.Tensor 2025-06-05T23:26:56.5513959Z [INFO 2025-06-05 23:26:56,528 qnn_preprocess.py:50] Visiting: aten_index_tensor_4, aten.index.Tensor 2025-06-05T23:26:56.5515103Z [INFO 2025-06-05 23:26:56,529 qnn_preprocess.py:50] Visiting: aten_index_tensor_5, aten.index.Tensor 2025-06-05T23:26:56.5516261Z [INFO 2025-06-05 23:26:56,530 qnn_preprocess.py:50] Visiting: aten_index_tensor_6, aten.index.Tensor 2025-06-05T23:26:56.5517484Z [INFO 2025-06-05 23:26:56,531 qnn_preprocess.py:50] Visiting: aten_index_tensor_7, aten.index.Tensor 2025-06-05T23:26:56.5518627Z [INFO 2025-06-05 23:26:56,533 qnn_preprocess.py:50] Visiting: aten_index_tensor_8, aten.index.Tensor 2025-06-05T23:26:56.5519778Z [INFO 2025-06-05 23:26:56,534 qnn_preprocess.py:50] Visiting: aten_index_tensor_9, aten.index.Tensor 2025-06-05T23:26:56.5520926Z [INFO 2025-06-05 23:26:56,535 qnn_preprocess.py:50] Visiting: aten_index_tensor_10, aten.index.Tensor 2025-06-05T23:26:56.5522089Z [INFO 2025-06-05 23:26:56,536 qnn_preprocess.py:50] Visiting: aten_index_tensor_11, aten.index.Tensor 2025-06-05T23:26:56.5523255Z [INFO 2025-06-05 23:26:56,537 qnn_preprocess.py:50] Visiting: aten_index_tensor_12, aten.index.Tensor 2025-06-05T23:26:56.5524397Z [INFO 2025-06-05 23:26:56,538 qnn_preprocess.py:50] Visiting: aten_index_tensor_13, aten.index.Tensor 2025-06-05T23:26:56.5525588Z [INFO 2025-06-05 23:26:56,539 qnn_preprocess.py:50] Visiting: aten_rms_norm_default, aten.rms_norm.default 2025-06-05T23:26:56.5526819Z [INFO 2025-06-05 23:26:56,540 qnn_preprocess.py:50] Visiting: aten_view_copy_default_5, aten.view_copy.default 2025-06-05T23:26:56.5528100Z [INFO 2025-06-05 23:26:56,541 qnn_preprocess.py:50] Visiting: aten_view_copy_default_23, aten.view_copy.default 2025-06-05T23:26:56.5529391Z [INFO 2025-06-05 23:26:56,541 qnn_preprocess.py:50] Visiting: aten_view_copy_default_41, aten.view_copy.default 2025-06-05T23:26:56.5838920Z [INFO 2025-06-05 23:26:56,542 qnn_preprocess.py:50] Visiting: aten_view_copy_default_59, aten.view_copy.default 2025-06-05T23:26:56.5840261Z [INFO 2025-06-05 23:26:56,542 qnn_preprocess.py:50] Visiting: aten_view_copy_default_77, aten.view_copy.default 2025-06-05T23:26:56.5841829Z [INFO 2025-06-05 23:26:56,542 qnn_preprocess.py:50] Visiting: aten_view_copy_default_95, aten.view_copy.default 2025-06-05T23:26:56.5843107Z [INFO 2025-06-05 23:26:56,543 qnn_preprocess.py:50] Visiting: aten_view_copy_default_113, aten.view_copy.default 2025-06-05T23:26:56.5844410Z [INFO 2025-06-05 23:26:56,543 qnn_preprocess.py:50] Visiting: aten_view_copy_default_131, aten.view_copy.default 2025-06-05T23:26:56.5845704Z [INFO 2025-06-05 23:26:56,543 qnn_preprocess.py:50] Visiting: aten_view_copy_default_149, aten.view_copy.default 2025-06-05T23:26:56.5846988Z [INFO 2025-06-05 23:26:56,544 qnn_preprocess.py:50] Visiting: aten_view_copy_default_167, aten.view_copy.default 2025-06-05T23:26:56.5848274Z [INFO 2025-06-05 23:26:56,544 qnn_preprocess.py:50] Visiting: aten_view_copy_default_185, aten.view_copy.default 2025-06-05T23:26:56.5849546Z [INFO 2025-06-05 23:26:56,544 qnn_preprocess.py:50] Visiting: aten_view_copy_default_203, aten.view_copy.default 2025-06-05T23:26:56.5850826Z [INFO 2025-06-05 23:26:56,545 qnn_preprocess.py:50] Visiting: aten_view_copy_default_6, aten.view_copy.default 2025-06-05T23:26:56.5852103Z [INFO 2025-06-05 23:26:56,545 qnn_preprocess.py:50] Visiting: aten_view_copy_default_24, aten.view_copy.default 2025-06-05T23:26:56.5853375Z [INFO 2025-06-05 23:26:56,545 qnn_preprocess.py:50] Visiting: aten_view_copy_default_42, aten.view_copy.default 2025-06-05T23:26:56.5854732Z [INFO 2025-06-05 23:26:56,546 qnn_preprocess.py:50] Visiting: aten_view_copy_default_60, aten.view_copy.default 2025-06-05T23:26:56.5856092Z [INFO 2025-06-05 23:26:56,546 qnn_preprocess.py:50] Visiting: aten_view_copy_default_78, aten.view_copy.default 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aten_squeeze_copy_dims_131, aten.squeeze_copy.dims 2025-06-05T23:27:02.9660083Z [INFO 2025-06-05 23:26:57,946 qnn_preprocess.py:50] Visiting: aten_add_tensor_59, aten.add.Tensor 2025-06-05T23:27:02.9661427Z [INFO 2025-06-05 23:26:57,946 qnn_preprocess.py:50] Visiting: aten_select_copy_int_576, aten.select_copy.int 2025-06-05T23:27:02.9662769Z [INFO 2025-06-05 23:26:57,947 qnn_preprocess.py:50] Visiting: aten_rms_norm_default_24, aten.rms_norm.default 2025-06-05T23:27:02.9664211Z [INFO 2025-06-05 23:26:57,948 qnn_preprocess.py:50] Visiting: aten_view_copy_default_216, aten.view_copy.default 2025-06-05T23:27:02.9665682Z [INFO 2025-06-05 23:26:57,948 qnn_preprocess.py:50] Visiting: aten_permute_copy_default_832, aten.permute_copy.default 2025-06-05T23:27:02.9667369Z [INFO 2025-06-05 23:26:57,949 qnn_preprocess.py:50] Visiting: aten_convolution_default_84, aten.convolution.default 2025-06-05T23:27:02.9668903Z [INFO 2025-06-05 23:26:58,020 qnn_preprocess.py:50] Visiting: aten_permute_copy_default_833, aten.permute_copy.default 2025-06-05T23:27:02.9670464Z [INFO 2025-06-05 23:26:58,022 qnn_preprocess.py:50] Visiting: aten_view_copy_default_217, aten.view_copy.default 2025-06-05T23:27:02.9672446Z [INFO 2025-06-05 23:26:58,023 qnn_preprocess.py:50] Visiting: quantized_decomposed_dequantize_per_tensor_tensor, quantized_decomposed.dequantize_per_tensor.tensor 2025-06-05T23:27:02.9674379Z [INFO] [Qnn ExecuTorch]: Destroy Qnn backend parameters 2025-06-05T23:27:02.9675061Z [INFO] [Qnn ExecuTorch]: Destroy Qnn context 2025-06-05T23:27:02.9675699Z [INFO] [Qnn ExecuTorch]: Destroy Qnn device 2025-06-05T23:27:02.9676300Z [INFO] [Qnn ExecuTorch]: Destroy Qnn backend 2025-06-05T23:27:02.9677103Z [INFO] [Qnn ExecuTorch]: Destroy Qnn backend parameters 2025-06-05T23:27:02.9677789Z [INFO 2025-06-05 23:27:02,961 builder.py:485] graph(): 2025-06-05T23:27:02.9678988Z %b_layers_0_attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_layers_0_attention_kv_cache_past_k_caches] 2025-06-05T23:27:02.9680697Z %b_layers_0_attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_layers_0_attention_kv_cache_past_v_caches] 2025-06-05T23:27:02.9682436Z %b_layers_1_attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_layers_1_attention_kv_cache_past_k_caches] 2025-06-05T23:27:02.9684187Z %b_layers_1_attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_layers_1_attention_kv_cache_past_v_caches] 2025-06-05T23:27:02.9685951Z %b_layers_2_attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_layers_2_attention_kv_cache_past_k_caches] 2025-06-05T23:27:02.9687716Z %b_layers_2_attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_layers_2_attention_kv_cache_past_v_caches] 2025-06-05T23:27:02.9689491Z %b_layers_3_attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_layers_3_attention_kv_cache_past_k_caches] 2025-06-05T23:27:02.9691243Z %b_layers_3_attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_layers_3_attention_kv_cache_past_v_caches] 2025-06-05T23:27:02.9693030Z %b_layers_4_attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_layers_4_attention_kv_cache_past_k_caches] 2025-06-05T23:27:02.9694799Z %b_layers_4_attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_layers_4_attention_kv_cache_past_v_caches] 2025-06-05T23:27:02.9696684Z %b_layers_5_attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_layers_5_attention_kv_cache_past_k_caches] 2025-06-05T23:27:02.9698437Z %b_layers_5_attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_layers_5_attention_kv_cache_past_v_caches] 2025-06-05T23:27:02.9700197Z %b_layers_6_attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_layers_6_attention_kv_cache_past_k_caches] 2025-06-05T23:27:02.9701951Z %b_layers_6_attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_layers_6_attention_kv_cache_past_v_caches] 2025-06-05T23:27:02.9703714Z %b_layers_7_attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_layers_7_attention_kv_cache_past_k_caches] 2025-06-05T23:27:02.9705445Z %b_layers_7_attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_layers_7_attention_kv_cache_past_v_caches] 2025-06-05T23:27:02.9707200Z %b_layers_8_attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_layers_8_attention_kv_cache_past_k_caches] 2025-06-05T23:27:02.9708957Z %b_layers_8_attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_layers_8_attention_kv_cache_past_v_caches] 2025-06-05T23:27:02.9710705Z %b_layers_9_attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_layers_9_attention_kv_cache_past_k_caches] 2025-06-05T23:27:02.9712683Z %b_layers_9_attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_layers_9_attention_kv_cache_past_v_caches] 2025-06-05T23:27:02.9714452Z %b_layers_10_attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_layers_10_attention_kv_cache_past_k_caches] 2025-06-05T23:27:02.9716325Z %b_layers_10_attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_layers_10_attention_kv_cache_past_v_caches] 2025-06-05T23:27:02.9718095Z %b_layers_11_attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_layers_11_attention_kv_cache_past_k_caches] 2025-06-05T23:27:02.9719878Z %b_layers_11_attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_layers_11_attention_kv_cache_past_v_caches] 2025-06-05T23:27:02.9721164Z %tokens : [num_users=1] = placeholder[target=tokens] 2025-06-05T23:27:02.9722116Z %attn_options_input_pos : [num_users=1] = placeholder[target=attn_options_input_pos] 2025-06-05T23:27:02.9723264Z %lowered_module_0 : [num_users=1] = get_attr[target=lowered_module_0] 2025-06-05T23:27:02.9724050Z backend_id: QnnBackend 2025-06-05T23:27:02.9724517Z lowered graph(): 2025-06-05T23:27:02.9725176Z %b__frozen_param0 : [num_users=1] = placeholder[target=b__frozen_param0] 2025-06-05T23:27:02.9726158Z %b__frozen_param1 : [num_users=1] = placeholder[target=b__frozen_param1] 2025-06-05T23:27:02.9727154Z %b__frozen_param2 : [num_users=1] = placeholder[target=b__frozen_param2] 2025-06-05T23:27:02.9727966Z %b__frozen_param3 : [num_users=1] = placeholder[target=b__frozen_param3] 2025-06-05T23:27:02.9728458Z %b__frozen_param4 : [num_users=1] = placeholder[target=b__frozen_param4] 2025-06-05T23:27:02.9728958Z %b__frozen_param5 : [num_users=1] = placeholder[target=b__frozen_param5] 2025-06-05T23:27:02.9729446Z %b__frozen_param6 : [num_users=1] = placeholder[target=b__frozen_param6] 2025-06-05T23:27:02.9729949Z %b__frozen_param7 : [num_users=1] = placeholder[target=b__frozen_param7] 2025-06-05T23:27:02.9730439Z %b__frozen_param8 : [num_users=1] = placeholder[target=b__frozen_param8] 2025-06-05T23:27:02.9730940Z %b__frozen_param9 : [num_users=1] = placeholder[target=b__frozen_param9] 2025-06-05T23:27:02.9731457Z %b__frozen_param10 : [num_users=1] = placeholder[target=b__frozen_param10] 2025-06-05T23:27:02.9731965Z %b__frozen_param11 : [num_users=1] = placeholder[target=b__frozen_param11] 2025-06-05T23:27:02.9732489Z %b__frozen_param12 : [num_users=1] = placeholder[target=b__frozen_param12] 2025-06-05T23:27:02.9732996Z %b__frozen_param13 : [num_users=1] = placeholder[target=b__frozen_param13] 2025-06-05T23:27:02.9734093Z %b__frozen_param14 : [num_users=1] = placeholder[target=b__frozen_param14] 2025-06-05T23:27:02.9734624Z %b__frozen_param15 : [num_users=1] = placeholder[target=b__frozen_param15] 2025-06-05T23:27:02.9735132Z %b__frozen_param16 : [num_users=1] = placeholder[target=b__frozen_param16] 2025-06-05T23:27:02.9735659Z %b__frozen_param17 : [num_users=1] = placeholder[target=b__frozen_param17] 2025-06-05T23:27:02.9736169Z %b__frozen_param18 : [num_users=1] = placeholder[target=b__frozen_param18] 2025-06-05T23:27:02.9736689Z %b__frozen_param19 : [num_users=1] = placeholder[target=b__frozen_param19] 2025-06-05T23:27:02.9737193Z %b__frozen_param20 : [num_users=1] = placeholder[target=b__frozen_param20] 2025-06-05T23:27:02.9737707Z %b__frozen_param21 : [num_users=1] = placeholder[target=b__frozen_param21] 2025-06-05T23:27:02.9738218Z %b__frozen_param22 : [num_users=1] = placeholder[target=b__frozen_param22] 2025-06-05T23:27:02.9738721Z %b__frozen_param23 : [num_users=1] = placeholder[target=b__frozen_param23] 2025-06-05T23:27:02.9739236Z %b__frozen_param24 : [num_users=1] = placeholder[target=b__frozen_param24] 2025-06-05T23:27:02.9739738Z %b__frozen_param25 : [num_users=1] = placeholder[target=b__frozen_param25] 2025-06-05T23:27:02.9740254Z %b__frozen_param26 : [num_users=1] = placeholder[target=b__frozen_param26] 2025-06-05T23:27:02.9740817Z %b__frozen_param27 : [num_users=1] = placeholder[target=b__frozen_param27] 2025-06-05T23:27:02.9741325Z %b__frozen_param28 : [num_users=1] = placeholder[target=b__frozen_param28] 2025-06-05T23:27:02.9741885Z %b__frozen_param29 : [num_users=1] = placeholder[target=b__frozen_param29] 2025-06-05T23:27:02.9742391Z %b__frozen_param30 : [num_users=1] = placeholder[target=b__frozen_param30] 2025-06-05T23:27:02.9742905Z %b__frozen_param31 : [num_users=1] = placeholder[target=b__frozen_param31] 2025-06-05T23:27:02.9743411Z %b__frozen_param32 : [num_users=1] = placeholder[target=b__frozen_param32] 2025-06-05T23:27:02.9743929Z %b__frozen_param33 : [num_users=1] = placeholder[target=b__frozen_param33] 2025-06-05T23:27:02.9744440Z %b__frozen_param34 : [num_users=1] = placeholder[target=b__frozen_param34] 2025-06-05T23:27:02.9744981Z %b__frozen_param35 : [num_users=1] = placeholder[target=b__frozen_param35] 2025-06-05T23:27:02.9745496Z %b__frozen_param36 : [num_users=1] = placeholder[target=b__frozen_param36] 2025-06-05T23:27:02.9745998Z %b__frozen_param37 : [num_users=1] = placeholder[target=b__frozen_param37] 2025-06-05T23:27:02.9746516Z %b__frozen_param38 : [num_users=1] = placeholder[target=b__frozen_param38] 2025-06-05T23:27:02.9747022Z %b__frozen_param39 : [num_users=1] = placeholder[target=b__frozen_param39] 2025-06-05T23:27:02.9747537Z %b__frozen_param40 : [num_users=1] = placeholder[target=b__frozen_param40] 2025-06-05T23:27:02.9748048Z %b__frozen_param41 : [num_users=1] = placeholder[target=b__frozen_param41] 2025-06-05T23:27:02.9748554Z %b__frozen_param42 : [num_users=1] = placeholder[target=b__frozen_param42] 2025-06-05T23:27:02.9749070Z %b__frozen_param43 : [num_users=1] = placeholder[target=b__frozen_param43] 2025-06-05T23:27:02.9749579Z %b__frozen_param44 : [num_users=1] = placeholder[target=b__frozen_param44] 2025-06-05T23:27:02.9750092Z %b__frozen_param45 : [num_users=1] = placeholder[target=b__frozen_param45] 2025-06-05T23:27:02.9750610Z %b__frozen_param46 : [num_users=1] = placeholder[target=b__frozen_param46] 2025-06-05T23:27:02.9751207Z %b__frozen_param47 : [num_users=1] = placeholder[target=b__frozen_param47] 2025-06-05T23:27:02.9751726Z %b__frozen_param48 : [num_users=1] = placeholder[target=b__frozen_param48] 2025-06-05T23:27:02.9752231Z %b__frozen_param49 : [num_users=1] = placeholder[target=b__frozen_param49] 2025-06-05T23:27:02.9752754Z %b__frozen_param50 : [num_users=1] = placeholder[target=b__frozen_param50] 2025-06-05T23:27:02.9753295Z %b__frozen_param51 : [num_users=1] = placeholder[target=b__frozen_param51] 2025-06-05T23:27:02.9753810Z %b__frozen_param52 : [num_users=1] = placeholder[target=b__frozen_param52] 2025-06-05T23:27:02.9754324Z %b__frozen_param53 : [num_users=1] = placeholder[target=b__frozen_param53] 2025-06-05T23:27:02.9754867Z %b__frozen_param54 : [num_users=1] = placeholder[target=b__frozen_param54] 2025-06-05T23:27:02.9755375Z %b__frozen_param55 : [num_users=1] = placeholder[target=b__frozen_param55] 2025-06-05T23:27:02.9755893Z %b__frozen_param56 : [num_users=1] = placeholder[target=b__frozen_param56] 2025-06-05T23:27:02.9756401Z %b__frozen_param57 : [num_users=1] = placeholder[target=b__frozen_param57] 2025-06-05T23:27:02.9756918Z %b__frozen_param58 : [num_users=1] = placeholder[target=b__frozen_param58] 2025-06-05T23:27:02.9757439Z %b__frozen_param59 : [num_users=1] = placeholder[target=b__frozen_param59] 2025-06-05T23:27:02.9757948Z %b__frozen_param60 : [num_users=1] = placeholder[target=b__frozen_param60] 2025-06-05T23:27:02.9758469Z %b__frozen_param61 : [num_users=1] = placeholder[target=b__frozen_param61] 2025-06-05T23:27:02.9758974Z %b__frozen_param62 : [num_users=1] = placeholder[target=b__frozen_param62] 2025-06-05T23:27:02.9759496Z %b__frozen_param63 : [num_users=1] = placeholder[target=b__frozen_param63] 2025-06-05T23:27:02.9760049Z %b__frozen_param64 : [num_users=1] = placeholder[target=b__frozen_param64] 2025-06-05T23:27:02.9760570Z %b__frozen_param65 : [num_users=1] = placeholder[target=b__frozen_param65] 2025-06-05T23:27:02.9761114Z %b__frozen_param66 : [num_users=1] = placeholder[target=b__frozen_param66] 2025-06-05T23:27:02.9761618Z %b__frozen_param67 : [num_users=1] = placeholder[target=b__frozen_param67] 2025-06-05T23:27:02.9762136Z %b__frozen_param68 : [num_users=1] = placeholder[target=b__frozen_param68] 2025-06-05T23:27:02.9762641Z %b__frozen_param69 : [num_users=1] = placeholder[target=b__frozen_param69] 2025-06-05T23:27:02.9763162Z %b__frozen_param70 : [num_users=1] = placeholder[target=b__frozen_param70] 2025-06-05T23:27:02.9763680Z %b__frozen_param71 : [num_users=1] = placeholder[target=b__frozen_param71] 2025-06-05T23:27:02.9764216Z %b__frozen_param72 : [num_users=1] = placeholder[target=b__frozen_param72] 2025-06-05T23:27:02.9764732Z %b__frozen_param73 : [num_users=1] = placeholder[target=b__frozen_param73] 2025-06-05T23:27:02.9765239Z %b__frozen_param74 : [num_users=1] = placeholder[target=b__frozen_param74] 2025-06-05T23:27:02.9765754Z %b__frozen_param75 : [num_users=1] = placeholder[target=b__frozen_param75] 2025-06-05T23:27:02.9766257Z %b__frozen_param76 : [num_users=1] = placeholder[target=b__frozen_param76] 2025-06-05T23:27:02.9766766Z %b__frozen_param77 : [num_users=1] = placeholder[target=b__frozen_param77] 2025-06-05T23:27:02.9767281Z %b__frozen_param78 : [num_users=1] = placeholder[target=b__frozen_param78] 2025-06-05T23:27:02.9767782Z %b__frozen_param79 : [num_users=1] = placeholder[target=b__frozen_param79] 2025-06-05T23:27:02.9768296Z %b__frozen_param80 : [num_users=1] = placeholder[target=b__frozen_param80] 2025-06-05T23:27:02.9768794Z %b__frozen_param81 : [num_users=1] = placeholder[target=b__frozen_param81] 2025-06-05T23:27:02.9769311Z %b__frozen_param82 : [num_users=1] = placeholder[target=b__frozen_param82] 2025-06-05T23:27:02.9769813Z %b__frozen_param83 : [num_users=1] = placeholder[target=b__frozen_param83] 2025-06-05T23:27:02.9770327Z %b__frozen_param84 : [num_users=1] = placeholder[target=b__frozen_param84] 2025-06-05T23:27:02.9770842Z %b__frozen_param85 : [num_users=1] = placeholder[target=b__frozen_param85] 2025-06-05T23:27:02.9771343Z %b__frozen_param86 : [num_users=1] = placeholder[target=b__frozen_param86] 2025-06-05T23:27:02.9771864Z %b__frozen_param87 : [num_users=1] = placeholder[target=b__frozen_param87] 2025-06-05T23:27:02.9772405Z %b__frozen_param88 : [num_users=1] = placeholder[target=b__frozen_param88] 2025-06-05T23:27:02.9773185Z %b__frozen_param89 : [num_users=1] = placeholder[target=b__frozen_param89] 2025-06-05T23:27:02.9773706Z %b__frozen_param90 : [num_users=1] = placeholder[target=b__frozen_param90] 2025-06-05T23:27:02.9774211Z %b__frozen_param91 : [num_users=1] = placeholder[target=b__frozen_param91] 2025-06-05T23:27:02.9774734Z %b__frozen_param92 : [num_users=1] = placeholder[target=b__frozen_param92] 2025-06-05T23:27:02.9775241Z %b__frozen_param93 : [num_users=1] = placeholder[target=b__frozen_param93] 2025-06-05T23:27:02.9775759Z %b__frozen_param94 : [num_users=1] = placeholder[target=b__frozen_param94] 2025-06-05T23:27:02.9776260Z %b__frozen_param95 : [num_users=1] = placeholder[target=b__frozen_param95] 2025-06-05T23:27:02.9776774Z %b__frozen_param96 : [num_users=1] = placeholder[target=b__frozen_param96] 2025-06-05T23:27:02.9777290Z %b__frozen_param97 : [num_users=1] = placeholder[target=b__frozen_param97] 2025-06-05T23:27:02.9777791Z %b__frozen_param98 : [num_users=1] = placeholder[target=b__frozen_param98] 2025-06-05T23:27:02.9778368Z %b__frozen_param99 : [num_users=1] = placeholder[target=b__frozen_param99] 2025-06-05T23:27:02.9778918Z %b__frozen_param100 : [num_users=1] = placeholder[target=b__frozen_param100] 2025-06-05T23:27:02.9779453Z %b__frozen_param101 : [num_users=1] = placeholder[target=b__frozen_param101] 2025-06-05T23:27:02.9780087Z %b__frozen_param102 : [num_users=1] = placeholder[target=b__frozen_param102] 2025-06-05T23:27:02.9780676Z %b__frozen_param103 : [num_users=1] = placeholder[target=b__frozen_param103] 2025-06-05T23:27:02.9781209Z %b__frozen_param104 : [num_users=1] = placeholder[target=b__frozen_param104] 2025-06-05T23:27:02.9781729Z %b__frozen_param105 : [num_users=1] = placeholder[target=b__frozen_param105] 2025-06-05T23:27:02.9782265Z %b__frozen_param106 : [num_users=1] = placeholder[target=b__frozen_param106] 2025-06-05T23:27:02.9782790Z %b__frozen_param107 : [num_users=1] = placeholder[target=b__frozen_param107] 2025-06-05T23:27:02.9783329Z %b__frozen_param108 : [num_users=1] = placeholder[target=b__frozen_param108] 2025-06-05T23:27:02.9783899Z %b__frozen_param109 : [num_users=1] = placeholder[target=b__frozen_param109] 2025-06-05T23:27:02.9784415Z %b__frozen_param110 : [num_users=1] = placeholder[target=b__frozen_param110] 2025-06-05T23:27:02.9784945Z %b__frozen_param111 : [num_users=1] = placeholder[target=b__frozen_param111] 2025-06-05T23:27:02.9785466Z %b__frozen_param112 : [num_users=1] = placeholder[target=b__frozen_param112] 2025-06-05T23:27:02.9785994Z %b__frozen_param113 : [num_users=1] = placeholder[target=b__frozen_param113] 2025-06-05T23:27:02.9786523Z %b__frozen_param114 : [num_users=0] = placeholder[target=b__frozen_param114] 2025-06-05T23:27:02.9787040Z %b__frozen_param115 : [num_users=0] = placeholder[target=b__frozen_param115] 2025-06-05T23:27:02.9787574Z %b__frozen_param116 : [num_users=1] = placeholder[target=b__frozen_param116] 2025-06-05T23:27:02.9788094Z %b__frozen_param117 : [num_users=0] = placeholder[target=b__frozen_param117] 2025-06-05T23:27:02.9788627Z %b__frozen_param118 : [num_users=0] = placeholder[target=b__frozen_param118] 2025-06-05T23:27:02.9789144Z %b__frozen_param119 : [num_users=1] = placeholder[target=b__frozen_param119] 2025-06-05T23:27:02.9789673Z %b__frozen_param120 : [num_users=0] = placeholder[target=b__frozen_param120] 2025-06-05T23:27:02.9790202Z %b__frozen_param121 : [num_users=0] = placeholder[target=b__frozen_param121] 2025-06-05T23:27:02.9790718Z %b__frozen_param122 : [num_users=1] = placeholder[target=b__frozen_param122] 2025-06-05T23:27:02.9791314Z %b__frozen_param123 : [num_users=0] = placeholder[target=b__frozen_param123] 2025-06-05T23:27:02.9791830Z %b__frozen_param124 : [num_users=0] = placeholder[target=b__frozen_param124] 2025-06-05T23:27:02.9792412Z %b__frozen_param125 : [num_users=1] = placeholder[target=b__frozen_param125] 2025-06-05T23:27:02.9792943Z %b__frozen_param126 : [num_users=0] = placeholder[target=b__frozen_param126] 2025-06-05T23:27:02.9793462Z %b__frozen_param127 : [num_users=0] = placeholder[target=b__frozen_param127] 2025-06-05T23:27:02.9793995Z %b__frozen_param128 : [num_users=1] = placeholder[target=b__frozen_param128] 2025-06-05T23:27:02.9794513Z %b__frozen_param129 : [num_users=0] = placeholder[target=b__frozen_param129] 2025-06-05T23:27:02.9795042Z %b__frozen_param130 : [num_users=0] = placeholder[target=b__frozen_param130] 2025-06-05T23:27:02.9795560Z %b__frozen_param131 : [num_users=1] = placeholder[target=b__frozen_param131] 2025-06-05T23:27:02.9796088Z %b__frozen_param132 : [num_users=0] = placeholder[target=b__frozen_param132] 2025-06-05T23:27:02.9796616Z %b__frozen_param133 : [num_users=0] = placeholder[target=b__frozen_param133] 2025-06-05T23:27:02.9797135Z %b__frozen_param134 : [num_users=1] = placeholder[target=b__frozen_param134] 2025-06-05T23:27:02.9797663Z %b__frozen_param135 : [num_users=0] = placeholder[target=b__frozen_param135] 2025-06-05T23:27:02.9798181Z %b__frozen_param136 : [num_users=0] = placeholder[target=b__frozen_param136] 2025-06-05T23:27:02.9798713Z %b__frozen_param137 : [num_users=1] = placeholder[target=b__frozen_param137] 2025-06-05T23:27:02.9799273Z %b__frozen_param138 : [num_users=0] = placeholder[target=b__frozen_param138] 2025-06-05T23:27:02.9799790Z %b__frozen_param139 : [num_users=0] = placeholder[target=b__frozen_param139] 2025-06-05T23:27:02.9800353Z %b__frozen_param140 : [num_users=1] = placeholder[target=b__frozen_param140] 2025-06-05T23:27:02.9800872Z %b__frozen_param141 : [num_users=0] = placeholder[target=b__frozen_param141] 2025-06-05T23:27:02.9801403Z %b__frozen_param142 : [num_users=0] = placeholder[target=b__frozen_param142] 2025-06-05T23:27:02.9801921Z %b__frozen_param143 : [num_users=1] = placeholder[target=b__frozen_param143] 2025-06-05T23:27:02.9802459Z %b__frozen_param144 : [num_users=0] = placeholder[target=b__frozen_param144] 2025-06-05T23:27:02.9802991Z %b__frozen_param145 : [num_users=0] = placeholder[target=b__frozen_param145] 2025-06-05T23:27:02.9803538Z %b__frozen_param146 : [num_users=1] = placeholder[target=b__frozen_param146] 2025-06-05T23:27:02.9804069Z %b__frozen_param147 : [num_users=0] = placeholder[target=b__frozen_param147] 2025-06-05T23:27:02.9804587Z %b__frozen_param148 : [num_users=0] = placeholder[target=b__frozen_param148] 2025-06-05T23:27:02.9805118Z %b__frozen_param149 : [num_users=1] = placeholder[target=b__frozen_param149] 2025-06-05T23:27:02.9805648Z %b__frozen_param150 : [num_users=1] = placeholder[target=b__frozen_param150] 2025-06-05T23:27:02.9806165Z %b__frozen_param151 : [num_users=1] = placeholder[target=b__frozen_param151] 2025-06-05T23:27:02.9806693Z %b__frozen_param152 : [num_users=1] = placeholder[target=b__frozen_param152] 2025-06-05T23:27:02.9807214Z %b__frozen_param153 : [num_users=1] = placeholder[target=b__frozen_param153] 2025-06-05T23:27:02.9807746Z %b__frozen_param154 : [num_users=1] = placeholder[target=b__frozen_param154] 2025-06-05T23:27:02.9808270Z %b__frozen_param155 : [num_users=1] = placeholder[target=b__frozen_param155] 2025-06-05T23:27:02.9808808Z %b__frozen_param156 : [num_users=1] = placeholder[target=b__frozen_param156] 2025-06-05T23:27:02.9809340Z %b__frozen_param157 : [num_users=1] = placeholder[target=b__frozen_param157] 2025-06-05T23:27:02.9809865Z %b__frozen_param158 : [num_users=1] = placeholder[target=b__frozen_param158] 2025-06-05T23:27:02.9810396Z %b__frozen_param159 : [num_users=1] = placeholder[target=b__frozen_param159] 2025-06-05T23:27:02.9810918Z %b__frozen_param160 : [num_users=1] = placeholder[target=b__frozen_param160] 2025-06-05T23:27:02.9811387Z %tokens : [num_users=1] = placeholder[target=tokens] 2025-06-05T23:27:02.9811903Z %attn_options_input_pos : [num_users=1] = placeholder[target=attn_options_input_pos] 2025-06-05T23:27:02.9812657Z %b_layers_0_attention_kv_cache_past_v_caches : [num_users=1] = placeholder[target=b_layers_0_attention_kv_cache_past_v_caches] 2025-06-05T23:27:02.9813561Z %b_layers_0_attention_kv_cache_past_k_caches : [num_users=1] = placeholder[target=b_layers_0_attention_kv_cache_past_k_caches] 2025-06-05T23:27:02.9814440Z %b_layers_1_attention_kv_cache_past_v_caches : [num_users=1] = placeholder[target=b_layers_1_attention_kv_cache_past_v_caches] 2025-06-05T23:27:02.9815337Z %b_layers_1_attention_kv_cache_past_k_caches : [num_users=1] = placeholder[target=b_layers_1_attention_kv_cache_past_k_caches] 2025-06-05T23:27:02.9816228Z %b_layers_2_attention_kv_cache_past_v_caches : [num_users=1] = placeholder[target=b_layers_2_attention_kv_cache_past_v_caches] 2025-06-05T23:27:02.9817100Z %b_layers_2_attention_kv_cache_past_k_caches : [num_users=1] = placeholder[target=b_layers_2_attention_kv_cache_past_k_caches] 2025-06-05T23:27:02.9817987Z %b_layers_3_attention_kv_cache_past_v_caches : [num_users=1] = placeholder[target=b_layers_3_attention_kv_cache_past_v_caches] 2025-06-05T23:27:02.9818856Z %b_layers_3_attention_kv_cache_past_k_caches : [num_users=1] = placeholder[target=b_layers_3_attention_kv_cache_past_k_caches] 2025-06-05T23:27:02.9819768Z %b_layers_4_attention_kv_cache_past_v_caches : [num_users=1] = placeholder[target=b_layers_4_attention_kv_cache_past_v_caches] 2025-06-05T23:27:02.9820677Z %b_layers_4_attention_kv_cache_past_k_caches : [num_users=1] = placeholder[target=b_layers_4_attention_kv_cache_past_k_caches] 2025-06-05T23:27:02.9821546Z %b_layers_5_attention_kv_cache_past_v_caches : [num_users=1] = placeholder[target=b_layers_5_attention_kv_cache_past_v_caches] 2025-06-05T23:27:02.9822426Z %b_layers_5_attention_kv_cache_past_k_caches : [num_users=1] = placeholder[target=b_layers_5_attention_kv_cache_past_k_caches] 2025-06-05T23:27:02.9823311Z %b_layers_6_attention_kv_cache_past_v_caches : [num_users=1] = placeholder[target=b_layers_6_attention_kv_cache_past_v_caches] 2025-06-05T23:27:02.9824179Z %b_layers_6_attention_kv_cache_past_k_caches : [num_users=1] = placeholder[target=b_layers_6_attention_kv_cache_past_k_caches] 2025-06-05T23:27:02.9825086Z %b_layers_7_attention_kv_cache_past_v_caches : [num_users=1] = placeholder[target=b_layers_7_attention_kv_cache_past_v_caches] 2025-06-05T23:27:02.9825950Z %b_layers_7_attention_kv_cache_past_k_caches : [num_users=1] = placeholder[target=b_layers_7_attention_kv_cache_past_k_caches] 2025-06-05T23:27:02.9826837Z %b_layers_8_attention_kv_cache_past_v_caches : [num_users=1] = placeholder[target=b_layers_8_attention_kv_cache_past_v_caches] 2025-06-05T23:27:02.9827718Z %b_layers_8_attention_kv_cache_past_k_caches : [num_users=1] = placeholder[target=b_layers_8_attention_kv_cache_past_k_caches] 2025-06-05T23:27:02.9828587Z %b_layers_9_attention_kv_cache_past_v_caches : [num_users=1] = placeholder[target=b_layers_9_attention_kv_cache_past_v_caches] 2025-06-05T23:27:02.9829476Z %b_layers_9_attention_kv_cache_past_k_caches : [num_users=1] = placeholder[target=b_layers_9_attention_kv_cache_past_k_caches] 2025-06-05T23:27:02.9830353Z %b_layers_10_attention_kv_cache_past_v_caches : [num_users=1] = placeholder[target=b_layers_10_attention_kv_cache_past_v_caches] 2025-06-05T23:27:02.9831332Z %b_layers_10_attention_kv_cache_past_k_caches : [num_users=1] = placeholder[target=b_layers_10_attention_kv_cache_past_k_caches] 2025-06-05T23:27:02.9832232Z %b_layers_11_attention_kv_cache_past_v_caches : [num_users=1] = placeholder[target=b_layers_11_attention_kv_cache_past_v_caches] 2025-06-05T23:27:02.9833113Z %b_layers_11_attention_kv_cache_past_k_caches : [num_users=1] = placeholder[target=b_layers_11_attention_kv_cache_past_k_caches] 2025-06-05T23:27:02.9834228Z %aten__to_copy_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%tokens,), kwargs = {dtype: torch.int32}) 2025-06-05T23:27:02.9835540Z %aten__to_copy_default_1 : [num_users=38] = call_function[target=executorch.exir.dialects.edge._ops.aten._to_copy.default](args = (%attn_options_input_pos,), kwargs = {dtype: torch.int32}) 2025-06-05T23:27:02.9837250Z %quantized_decomposed_dequantize_per_tensor_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param0, 1.9342933228472248e-05, 48293, 0, 65535, torch.int32), kwargs = {}) 2025-06-05T23:27:02.9839457Z %quantized_decomposed_dequantize_per_tensor_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param1, 1.2487619642342906e-05, 11698, 0, 65535, torch.int32), kwargs = {}) 2025-06-05T23:27:02.9841784Z %quantized_decomposed_dequantize_per_tensor_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param2, 3.4356886317254975e-05, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9844272Z %quantized_decomposed_dequantize_per_tensor_default_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param3, 3.6641056794906035e-05, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9846363Z %quantized_decomposed_dequantize_per_tensor_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param4, 2.7063433662988245e-06, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9848440Z %quantized_decomposed_dequantize_per_tensor_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param5, 2.292680619575549e-05, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9851303Z %quantized_decomposed_dequantize_per_tensor_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param6, 7.301607183762826e-06, 0, 0, 65535, torch.int32), kwargs = {}) 2025-06-05T23:27:02.9854314Z %quantized_decomposed_dequantize_per_tensor_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param7, 1.1212039680685848e-05, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9856380Z %quantized_decomposed_dequantize_per_tensor_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param8, 8.377747690246906e-06, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9858525Z %quantized_decomposed_dequantize_per_tensor_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param9, 1.5975101632648148e-05, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9860587Z %quantized_decomposed_dequantize_per_tensor_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param10, 1.629848702577874e-05, 0, 0, 65535, torch.int32), kwargs = {}) 2025-06-05T23:27:02.9862650Z %quantized_decomposed_dequantize_per_tensor_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param11, 2.386650157859549e-05, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9864793Z %quantized_decomposed_dequantize_per_tensor_default_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param12, 2.1627405658364296e-05, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9866885Z %quantized_decomposed_dequantize_per_tensor_default_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param13, 3.6092917525820667e-06, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9868975Z %quantized_decomposed_dequantize_per_tensor_default_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param14, 2.6657653506845236e-05, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9871104Z %quantized_decomposed_dequantize_per_tensor_default_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param15, 1.0056614883069415e-05, 0, 0, 65535, torch.int32), kwargs = {}) 2025-06-05T23:27:02.9873562Z %quantized_decomposed_dequantize_per_tensor_default_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param16, 1.3041529200563673e-05, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9875661Z %quantized_decomposed_dequantize_per_tensor_default_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param17, 1.2415116543706972e-05, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9877791Z %quantized_decomposed_dequantize_per_tensor_default_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param18, 4.851280027651228e-05, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9879827Z %quantized_decomposed_dequantize_per_tensor_default_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param19, 1.34903066282277e-05, 0, 0, 65535, torch.int32), kwargs = {}) 2025-06-05T23:27:02.9881934Z %quantized_decomposed_dequantize_per_tensor_default_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param20, 1.2616974345291965e-05, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9884019Z %quantized_decomposed_dequantize_per_tensor_default_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param21, 1.8000935597228818e-05, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9886097Z %quantized_decomposed_dequantize_per_tensor_default_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param22, 3.838254997390322e-06, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9888161Z %quantized_decomposed_dequantize_per_tensor_default_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param23, 1.5086939129105303e-05, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9890222Z %quantized_decomposed_dequantize_per_tensor_default_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param24, 1.2551431609608699e-05, 0, 0, 65535, torch.int32), kwargs = {}) 2025-06-05T23:27:02.9892337Z %quantized_decomposed_dequantize_per_tensor_default_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param25, 7.637921953573823e-06, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9894394Z %quantized_decomposed_dequantize_per_tensor_default_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param26, 8.152154805429745e-06, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9896468Z %quantized_decomposed_dequantize_per_tensor_default_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param27, 5.8997531596105546e-05, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9898533Z %quantized_decomposed_dequantize_per_tensor_default_28 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param28, 1.4751847629668191e-05, 0, 0, 65535, torch.int32), kwargs = {}) 2025-06-05T23:27:02.9900596Z %quantized_decomposed_dequantize_per_tensor_default_29 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param29, 1.285897542402381e-05, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9902677Z %quantized_decomposed_dequantize_per_tensor_default_30 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param30, 1.776821409293916e-05, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9904785Z %quantized_decomposed_dequantize_per_tensor_default_31 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param31, 3.8338889680744614e-06, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9906865Z %quantized_decomposed_dequantize_per_tensor_default_32 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param32, 1.043909833242651e-05, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9908958Z %quantized_decomposed_dequantize_per_tensor_default_33 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param33, 1.2991034964215942e-05, 0, 0, 65535, torch.int32), kwargs = {}) 2025-06-05T23:27:02.9911064Z %quantized_decomposed_dequantize_per_tensor_default_34 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param34, 9.01338535186369e-06, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9913136Z %quantized_decomposed_dequantize_per_tensor_default_35 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param35, 8.421571692451835e-06, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9915206Z %quantized_decomposed_dequantize_per_tensor_default_36 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param36, 5.0727699999697506e-05, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9917250Z %quantized_decomposed_dequantize_per_tensor_default_37 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param37, 1.6460680853924714e-05, 0, 0, 65535, torch.int32), kwargs = {}) 2025-06-05T23:27:02.9919347Z %quantized_decomposed_dequantize_per_tensor_default_38 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param38, 1.0061074135592207e-05, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9921425Z %quantized_decomposed_dequantize_per_tensor_default_39 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param39, 1.3427632438833825e-05, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9923500Z %quantized_decomposed_dequantize_per_tensor_default_40 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param40, 3.969049885199638e-06, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9925560Z %quantized_decomposed_dequantize_per_tensor_default_41 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param41, 4.623624136002036e-06, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9927628Z %quantized_decomposed_dequantize_per_tensor_default_42 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param42, 1.4132921023701783e-05, 0, 0, 65535, torch.int32), kwargs = {}) 2025-06-05T23:27:02.9929708Z %quantized_decomposed_dequantize_per_tensor_default_43 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param43, 9.02163446880877e-06, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9931811Z %quantized_decomposed_dequantize_per_tensor_default_44 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param44, 6.684962045255816e-06, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9933879Z %quantized_decomposed_dequantize_per_tensor_default_45 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param45, 4.520918082562275e-05, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9935971Z %quantized_decomposed_dequantize_per_tensor_default_46 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param46, 1.633507781662047e-05, 0, 0, 65535, torch.int32), kwargs = {}) 2025-06-05T23:27:02.9938031Z %quantized_decomposed_dequantize_per_tensor_default_47 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param47, 1.2622019312402699e-05, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9940104Z %quantized_decomposed_dequantize_per_tensor_default_48 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param48, 1.2933628568134736e-05, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9942178Z %quantized_decomposed_dequantize_per_tensor_default_49 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param49, 3.8965881685726345e-06, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9944244Z %quantized_decomposed_dequantize_per_tensor_default_50 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param50, 7.438241027557524e-06, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9946348Z %quantized_decomposed_dequantize_per_tensor_default_51 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param51, 1.4315685803012457e-05, 0, 0, 65535, torch.int32), kwargs = {}) 2025-06-05T23:27:02.9948379Z %quantized_decomposed_dequantize_per_tensor_default_52 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param52, 6.619334271817934e-06, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9950460Z %quantized_decomposed_dequantize_per_tensor_default_53 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param53, 1.2854585293098353e-05, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9952632Z %quantized_decomposed_dequantize_per_tensor_default_54 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param54, 4.18269082729239e-05, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9954742Z %quantized_decomposed_dequantize_per_tensor_default_55 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param55, 1.734791112539824e-05, 0, 0, 65535, torch.int32), kwargs = {}) 2025-06-05T23:27:02.9956934Z %quantized_decomposed_dequantize_per_tensor_default_56 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param56, 1.3876242519472726e-05, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9959136Z %quantized_decomposed_dequantize_per_tensor_default_57 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param57, 1.4166372238832992e-05, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9961224Z %quantized_decomposed_dequantize_per_tensor_default_58 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param58, 4.262657057552133e-06, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9963319Z %quantized_decomposed_dequantize_per_tensor_default_59 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param59, 4.859185082750628e-06, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9965381Z %quantized_decomposed_dequantize_per_tensor_default_60 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param60, 1.4755311894987244e-05, 0, 0, 65535, torch.int32), kwargs = {}) 2025-06-05T23:27:02.9967438Z %quantized_decomposed_dequantize_per_tensor_default_61 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param61, 7.526988156314474e-06, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9969499Z %quantized_decomposed_dequantize_per_tensor_default_62 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param62, 5.435513230622746e-06, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9971554Z %quantized_decomposed_dequantize_per_tensor_default_63 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param63, 2.4650629711686634e-05, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9973956Z %quantized_decomposed_dequantize_per_tensor_default_64 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param64, 1.9291985154268332e-05, 0, 0, 65535, torch.int32), kwargs = {}) 2025-06-05T23:27:02.9976035Z %quantized_decomposed_dequantize_per_tensor_default_65 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param65, 1.2612830687430687e-05, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9978120Z %quantized_decomposed_dequantize_per_tensor_default_66 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param66, 1.120004162658006e-05, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9980187Z %quantized_decomposed_dequantize_per_tensor_default_67 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param67, 4.108746452402556e-06, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9982256Z %quantized_decomposed_dequantize_per_tensor_default_68 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param68, 4.289444405003451e-06, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9984382Z %quantized_decomposed_dequantize_per_tensor_default_69 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param69, 1.58265156642301e-05, 0, 0, 65535, torch.int32), kwargs = {}) 2025-06-05T23:27:02.9986479Z %quantized_decomposed_dequantize_per_tensor_default_70 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param70, 8.079993676801678e-06, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9988542Z %quantized_decomposed_dequantize_per_tensor_default_71 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param71, 5.950272225163644e-06, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9990610Z %quantized_decomposed_dequantize_per_tensor_default_72 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param72, 8.790708307060413e-06, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9992799Z %quantized_decomposed_dequantize_per_tensor_default_73 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param73, 2.0017856513732113e-05, 0, 0, 65535, torch.int32), kwargs = {}) 2025-06-05T23:27:02.9994848Z %quantized_decomposed_dequantize_per_tensor_default_74 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param74, 1.0534595276112668e-05, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9996920Z %quantized_decomposed_dequantize_per_tensor_default_75 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param75, 9.947799298970494e-06, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:02.9998983Z %quantized_decomposed_dequantize_per_tensor_default_76 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param76, 4.18247509514913e-06, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:03.0001095Z %quantized_decomposed_dequantize_per_tensor_default_77 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param77, 5.61682645638939e-06, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:03.0003136Z %quantized_decomposed_dequantize_per_tensor_default_78 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param78, 1.605357465450652e-05, 0, 0, 65535, torch.int32), kwargs = {}) 2025-06-05T23:27:03.0005190Z %quantized_decomposed_dequantize_per_tensor_default_79 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param79, 5.956742825219408e-06, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:03.0007254Z %quantized_decomposed_dequantize_per_tensor_default_80 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param80, 5.543797669815831e-06, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:03.0009325Z %quantized_decomposed_dequantize_per_tensor_default_81 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param81, 1.7314116121269763e-05, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:03.0011400Z %quantized_decomposed_dequantize_per_tensor_default_82 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param82, 2.1098459910717793e-05, 0, 0, 65535, torch.int32), kwargs = {}) 2025-06-05T23:27:03.0013474Z %quantized_decomposed_dequantize_per_tensor_default_83 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param83, 9.977230547519866e-06, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:03.0015544Z %quantized_decomposed_dequantize_per_tensor_default_84 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param84, 1.0152723916689865e-05, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:03.0017607Z %quantized_decomposed_dequantize_per_tensor_default_85 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param85, 4.536270353128202e-06, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:03.0019702Z %quantized_decomposed_dequantize_per_tensor_default_86 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param86, 5.920260718994541e-06, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:03.0021754Z %quantized_decomposed_dequantize_per_tensor_default_87 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param87, 1.749423063301947e-05, 0, 0, 65535, torch.int32), kwargs = {}) 2025-06-05T23:27:03.0023808Z %quantized_decomposed_dequantize_per_tensor_default_88 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param88, 6.546213626279496e-06, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:03.0025870Z %quantized_decomposed_dequantize_per_tensor_default_89 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param89, 8.761990102357231e-06, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:03.0027951Z %quantized_decomposed_dequantize_per_tensor_default_90 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param90, 1.633228748687543e-05, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:03.0030043Z %quantized_decomposed_dequantize_per_tensor_default_91 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param91, 2.414468144706916e-05, 0, 0, 65535, torch.int32), kwargs = {}) 2025-06-05T23:27:03.0032158Z %quantized_decomposed_dequantize_per_tensor_default_92 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param92, 1.072352006303845e-05, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:03.0034240Z %quantized_decomposed_dequantize_per_tensor_default_93 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param93, 1.0837483387149405e-05, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:03.0036340Z %quantized_decomposed_dequantize_per_tensor_default_94 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param94, 4.776206424139673e-06, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:03.0038444Z %quantized_decomposed_dequantize_per_tensor_default_95 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param95, 7.434290637320373e-06, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:03.0040498Z %quantized_decomposed_dequantize_per_tensor_default_96 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param96, 1.9142669771099463e-05, 0, 0, 65535, torch.int32), kwargs = {}) 2025-06-05T23:27:03.0042612Z %quantized_decomposed_dequantize_per_tensor_default_97 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param97, 9.545610737404786e-06, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:03.0044683Z %quantized_decomposed_dequantize_per_tensor_default_98 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param98, 1.0316829502698965e-05, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:03.0046917Z %quantized_decomposed_dequantize_per_tensor_default_99 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param99, 2.7532219974091277e-05, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:03.0048983Z %quantized_decomposed_dequantize_per_tensor_default_100 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param100, 2.333568590984214e-05, 0, 0, 65535, torch.int32), kwargs = {}) 2025-06-05T23:27:03.0051078Z %quantized_decomposed_dequantize_per_tensor_default_101 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param101, 1.1849775546579622e-05, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:03.0053174Z %quantized_decomposed_dequantize_per_tensor_default_102 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param102, 9.849293746810872e-06, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:03.0055259Z %quantized_decomposed_dequantize_per_tensor_default_103 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param103, 5.271489044389455e-06, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:03.0057691Z %quantized_decomposed_dequantize_per_tensor_default_104 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param104, 1.626361336093396e-05, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:03.0059794Z %quantized_decomposed_dequantize_per_tensor_default_105 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param105, 2.1847066818736494e-05, 0, 0, 65535, torch.int32), kwargs = {}) 2025-06-05T23:27:03.0061890Z %quantized_decomposed_dequantize_per_tensor_default_106 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param106, 1.223628714797087e-05, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:03.0063973Z %quantized_decomposed_dequantize_per_tensor_default_107 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param107, 1.3578906873590313e-05, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:03.0066112Z %quantized_decomposed_dequantize_per_tensor_default_108 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param108, 3.873001696774736e-05, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:03.0068193Z %quantized_decomposed_dequantize_per_tensor_default_109 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param109, 0.0001457274629501626, 0, 0, 65535, torch.int32), kwargs = {}) 2025-06-05T23:27:03.0070301Z %quantized_decomposed_dequantize_per_tensor_default_110 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param110, 2.8508189643616788e-05, 0, -32767, 32767, torch.int16), kwargs = {}) 2025-06-05T23:27:03.0072481Z %quantized_decomposed_dequantize_per_tensor_default_111 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param111, 3.051804378628731e-05, 32768, 0, 65535, torch.int32), kwargs = {}) 2025-06-05T23:27:03.0074800Z %quantized_decomposed_dequantize_per_tensor_default_112 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param112, 3.051786916330457e-05, 32767, 0, 65535, torch.int32), kwargs = {}) 2025-06-05T23:27:03.0076895Z %quantized_decomposed_dequantize_per_tensor_default_113 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param113, 0.0038910505827516317, 65535, 0, 65535, torch.int32), kwargs = {}) 2025-06-05T23:27:03.0078977Z %quantized_decomposed_dequantize_per_tensor_default_116 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param116, 0.0038910505827516317, 65535, 0, 65535, torch.int32), kwargs = {}) 2025-06-05T23:27:03.0081060Z %quantized_decomposed_dequantize_per_tensor_default_119 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param119, 0.0038910505827516317, 65535, 0, 65535, torch.int32), kwargs = {}) 2025-06-05T23:27:03.0083152Z %quantized_decomposed_dequantize_per_tensor_default_122 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param122, 0.0038910505827516317, 65535, 0, 65535, torch.int32), kwargs = {}) 2025-06-05T23:27:03.0085314Z %quantized_decomposed_dequantize_per_tensor_default_125 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param125, 0.0038910505827516317, 65535, 0, 65535, torch.int32), kwargs = {}) 2025-06-05T23:27:03.0087401Z %quantized_decomposed_dequantize_per_tensor_default_128 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param128, 0.0038910505827516317, 65535, 0, 65535, torch.int32), kwargs = {}) 2025-06-05T23:27:03.0089471Z %quantized_decomposed_dequantize_per_tensor_default_131 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param131, 0.0038910505827516317, 65535, 0, 65535, torch.int32), kwargs = {}) 2025-06-05T23:27:03.0091565Z %quantized_decomposed_dequantize_per_tensor_default_134 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param134, 0.0038910505827516317, 65535, 0, 65535, torch.int32), kwargs = {}) 2025-06-05T23:27:03.0093651Z %quantized_decomposed_dequantize_per_tensor_default_137 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param137, 0.0038910505827516317, 65535, 0, 65535, torch.int32), kwargs = {}) 2025-06-05T23:27:03.0095763Z %quantized_decomposed_dequantize_per_tensor_default_140 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param140, 0.0038910505827516317, 65535, 0, 65535, torch.int32), kwargs = {}) 2025-06-05T23:27:03.0097884Z %quantized_decomposed_dequantize_per_tensor_default_143 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param143, 0.0038910505827516317, 65535, 0, 65535, torch.int32), kwargs = {}) 2025-06-05T23:27:03.0099963Z %quantized_decomposed_dequantize_per_tensor_default_146 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param146, 0.0038910505827516317, 65535, 0, 65535, torch.int32), kwargs = {}) 2025-06-05T23:27:03.0102091Z %quantized_decomposed_dequantize_per_tensor_default_340 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param149, 1.9073777366429567e-06, 0, 0, 65535, torch.int32), kwargs = {}) 2025-06-05T23:27:03.0104147Z %quantized_decomposed_dequantize_per_tensor_default_542 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param150, 1.9073777366429567e-06, 0, 0, 65535, torch.int32), kwargs = {}) 2025-06-05T23:27:03.0106218Z %quantized_decomposed_dequantize_per_tensor_default_744 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param151, 1.9073777366429567e-06, 0, 0, 65535, torch.int32), kwargs = {}) 2025-06-05T23:27:03.0108283Z %quantized_decomposed_dequantize_per_tensor_default_946 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param152, 1.9073777366429567e-06, 0, 0, 65535, torch.int32), kwargs = {}) 2025-06-05T23:27:03.0110354Z %quantized_decomposed_dequantize_per_tensor_default_1148 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param153, 1.9073777366429567e-06, 0, 0, 65535, torch.int32), kwargs = {}) 2025-06-05T23:27:03.0112525Z %quantized_decomposed_dequantize_per_tensor_default_1350 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param154, 1.9073777366429567e-06, 0, 0, 65535, torch.int32), kwargs = {}) 2025-06-05T23:27:03.0114604Z %quantized_decomposed_dequantize_per_tensor_default_1552 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param155, 1.9073777366429567e-06, 0, 0, 65535, torch.int32), kwargs = {}) 2025-06-05T23:27:03.0116683Z %quantized_decomposed_dequantize_per_tensor_default_1754 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param156, 1.9073777366429567e-06, 0, 0, 65535, torch.int32), kwargs = {}) 2025-06-05T23:27:03.0118749Z %quantized_decomposed_dequantize_per_tensor_default_1956 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param157, 1.9073777366429567e-06, 0, 0, 65535, torch.int32), kwargs = {}) 2025-06-05T23:27:03.0120822Z %quantized_decomposed_dequantize_per_tensor_default_2158 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param158, 1.9073777366429567e-06, 0, 0, 65535, torch.int32), kwargs = {}) 2025-06-05T23:27:03.0122924Z %quantized_decomposed_dequantize_per_tensor_default_2360 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param159, 1.9073777366429567e-06, 0, 0, 65535, torch.int32), kwargs = {}) 2025-06-05T23:27:03.0125023Z %quantized_decomposed_dequantize_per_tensor_default_2562 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_tensor.default](args = (%b__frozen_param160, 1.9073777366429567e-06, 0, 0, 65535, torch.int32), kwargs = {}) 2025-06-05T23:27:03.0126895Z %aten_embedding_default : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.embedding.default](args = (%quantized_decomposed_dequantize_per_tensor_default, %aten__to_copy_default), kwargs = {}) 2025-06-05T23:27:03.0128591Z %aten_index_tensor : [num_users=12] = call_function[target=executorch.exir.dialects.edge._ops.aten.index.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_111, [%aten__to_copy_default_1]), kwargs = {}) 2025-06-05T23:27:03.0130233Z %aten_index_tensor_1 : [num_users=12] = call_function[target=executorch.exir.dialects.edge._ops.aten.index.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_112, [%aten__to_copy_default_1]), kwargs = {}) 2025-06-05T23:27:03.0131851Z %aten_index_tensor_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.index.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_113, [%aten__to_copy_default_1]), kwargs = {}) 2025-06-05T23:27:03.0133480Z %aten_index_tensor_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.index.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_116, [%aten__to_copy_default_1]), kwargs = {}) 2025-06-05T23:27:03.0135117Z %aten_index_tensor_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.index.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_119, [%aten__to_copy_default_1]), kwargs = {}) 2025-06-05T23:27:03.0136730Z %aten_index_tensor_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.index.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_122, [%aten__to_copy_default_1]), kwargs = {}) 2025-06-05T23:27:03.0138357Z %aten_index_tensor_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.index.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_125, [%aten__to_copy_default_1]), kwargs = {}) 2025-06-05T23:27:03.0140010Z %aten_index_tensor_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.index.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_128, [%aten__to_copy_default_1]), kwargs = {}) 2025-06-05T23:27:03.0141646Z %aten_index_tensor_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.index.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_131, [%aten__to_copy_default_1]), kwargs = {}) 2025-06-05T23:27:03.0143255Z %aten_index_tensor_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.index.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_134, [%aten__to_copy_default_1]), kwargs = {}) 2025-06-05T23:27:03.0144886Z %aten_index_tensor_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.index.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_137, [%aten__to_copy_default_1]), kwargs = {}) 2025-06-05T23:27:03.0146520Z %aten_index_tensor_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.index.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_140, [%aten__to_copy_default_1]), kwargs = {}) 2025-06-05T23:27:03.0148192Z %aten_index_tensor_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.index.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_143, [%aten__to_copy_default_1]), kwargs = {}) 2025-06-05T23:27:03.0149828Z %aten_index_tensor_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.index.Tensor](args = (%quantized_decomposed_dequantize_per_tensor_default_146, [%aten__to_copy_default_1]), kwargs = {}) 2025-06-05T23:27:03.0151633Z %aten_rms_norm_default : [num_users=3] = call_function[target=executorch.exir.dialects.edge._ops.aten.rms_norm.default](args = (%aten_embedding_default, [768], %quantized_decomposed_dequantize_per_tensor_default_1, 9.999999747378752e-06), kwargs = {}) 2025-06-05T23:27:03.0153184Z %aten_view_copy_default_5 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor, [1, 1, 1, 32]), kwargs = {}) 2025-06-05T23:27:03.0154527Z %aten_view_copy_default_23 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor, [1, 1, 1, 32]), kwargs = {}) 2025-06-05T23:27:03.0155828Z %aten_view_copy_default_41 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor, [1, 1, 1, 32]), kwargs = {}) 2025-06-05T23:27:03.0157118Z %aten_view_copy_default_59 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor, [1, 1, 1, 32]), kwargs = {}) 2025-06-05T23:27:03.0158421Z %aten_view_copy_default_77 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor, [1, 1, 1, 32]), kwargs = {}) 2025-06-05T23:27:03.0159866Z %aten_view_copy_default_95 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor, [1, 1, 1, 32]), kwargs = {}) 2025-06-05T23:27:03.0161169Z %aten_view_copy_default_113 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor, [1, 1, 1, 32]), kwargs = {}) 2025-06-05T23:27:03.0162486Z %aten_view_copy_default_131 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor, [1, 1, 1, 32]), kwargs = {}) 2025-06-05T23:27:03.0163794Z %aten_view_copy_default_149 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor, [1, 1, 1, 32]), kwargs = {}) 2025-06-05T23:27:03.0165140Z %aten_view_copy_default_167 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor, [1, 1, 1, 32]), kwargs = {}) 2025-06-05T23:27:03.0166455Z %aten_view_copy_default_185 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor, [1, 1, 1, 32]), kwargs = {}) 2025-06-05T23:27:03.0167899Z %aten_view_copy_default_203 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor, [1, 1, 1, 32]), kwargs = {}) 2025-06-05T23:27:03.0169265Z %aten_view_copy_default_6 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor_1, [1, 1, 1, 32]), kwargs = {}) 2025-06-05T23:27:03.0170866Z %aten_view_copy_default_24 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor_1, [1, 1, 1, 32]), kwargs = {}) 2025-06-05T23:27:03.0172226Z %aten_view_copy_default_42 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor_1, [1, 1, 1, 32]), kwargs = {}) 2025-06-05T23:27:03.0173794Z %aten_view_copy_default_60 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor_1, [1, 1, 1, 32]), kwargs = {}) 2025-06-05T23:27:03.0175318Z %aten_view_copy_default_78 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor_1, [1, 1, 1, 32]), kwargs = {}) 2025-06-05T23:27:03.0194380Z %aten_view_copy_default_96 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor_1, [1, 1, 1, 32]), kwargs = {}) 2025-06-05T23:27:03.0195735Z %aten_view_copy_default_114 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor_1, [1, 1, 1, 32]), kwargs = {}) 2025-06-05T23:27:03.0197058Z %aten_view_copy_default_132 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor_1, [1, 1, 1, 32]), kwargs = {}) 2025-06-05T23:27:03.0198558Z %aten_view_copy_default_150 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor_1, [1, 1, 1, 32]), kwargs = {}) 2025-06-05T23:27:03.0199876Z %aten_view_copy_default_168 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor_1, [1, 1, 1, 32]), kwargs = {}) 2025-06-05T23:27:03.0201182Z %aten_view_copy_default_186 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor_1, [1, 1, 1, 32]), kwargs = {}) 2025-06-05T23:27:03.0202506Z %aten_view_copy_default_204 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor_1, [1, 1, 1, 32]), kwargs = {}) 2025-06-05T23:27:03.0203858Z %aten_unsqueeze_copy_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default, -1), kwargs = {}) 2025-06-05T23:27:03.0205213Z %aten_unsqueeze_copy_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default, -1), kwargs = {}) 2025-06-05T23:27:03.0206587Z %aten_unsqueeze_copy_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default, -1), kwargs = {}) 2025-06-05T23:27:03.0207984Z %aten_permute_copy_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0209457Z %aten_permute_copy_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_1, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0210908Z %aten_permute_copy_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_2, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0212658Z %aten_convolution_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default, %quantized_decomposed_dequantize_per_tensor_default_2, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.0214716Z %aten_convolution_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_2, %quantized_decomposed_dequantize_per_tensor_default_3, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.0216780Z %aten_convolution_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_4, %quantized_decomposed_dequantize_per_tensor_default_4, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.0218600Z %aten_permute_copy_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0220050Z %aten_permute_copy_default_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_1, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0221478Z %aten_permute_copy_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_2, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0222847Z %aten_squeeze_copy_dims : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_1, [-1]), kwargs = {}) 2025-06-05T23:27:03.0224176Z %aten_squeeze_copy_dims_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_3, [-1]), kwargs = {}) 2025-06-05T23:27:03.0225493Z %aten_squeeze_copy_dims_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_5, [-1]), kwargs = {}) 2025-06-05T23:27:03.0226814Z %aten_view_copy_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.0228138Z %aten_view_copy_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_1, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.0229482Z %aten_view_copy_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_2, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.0230913Z %aten_view_copy_default_3 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default, [1, 1, 12, -1, 2]), kwargs = {}) 2025-06-05T23:27:03.0232260Z %aten_view_copy_default_4 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_1, [1, 1, 12, -1, 2]), kwargs = {}) 2025-06-05T23:27:03.0233874Z %aten_index_put_default_1 : [num_users=13] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%b_layers_0_attention_kv_cache_past_v_caches, [None, %aten__to_copy_default_1], %aten_view_copy_default_2), kwargs = {}) 2025-06-05T23:27:03.0235429Z %aten_slice_copy_tensor : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_3, 4, 0, 1), kwargs = {}) 2025-06-05T23:27:03.0236722Z %aten_slice_copy_tensor_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_3, 4, 1, 2), kwargs = {}) 2025-06-05T23:27:03.0238039Z %aten_slice_copy_tensor_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_4, 4, 0, 1), kwargs = {}) 2025-06-05T23:27:03.0239354Z %aten_slice_copy_tensor_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_4, 4, 1, 2), kwargs = {}) 2025-06-05T23:27:03.0240700Z %aten_permute_copy_default_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_1, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0242107Z %aten_permute_copy_default_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_1, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0243535Z %aten_permute_copy_default_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_1, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0244943Z %aten_permute_copy_default_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_1, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0246348Z %aten_permute_copy_default_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_1, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0247752Z %aten_permute_copy_default_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_1, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0249185Z %aten_permute_copy_default_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_1, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0250730Z %aten_permute_copy_default_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_1, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0252137Z %aten_permute_copy_default_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_1, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0253521Z %aten_permute_copy_default_28 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_1, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0254915Z %aten_permute_copy_default_29 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_1, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0256313Z %aten_permute_copy_default_30 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_1, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0257645Z %aten_squeeze_copy_dims_3 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor, [4]), kwargs = {}) 2025-06-05T23:27:03.0258963Z %aten_squeeze_copy_dims_4 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_1, [4]), kwargs = {}) 2025-06-05T23:27:03.0260251Z %aten_squeeze_copy_dims_5 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_2, [4]), kwargs = {}) 2025-06-05T23:27:03.0261896Z %aten_squeeze_copy_dims_6 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_3, [4]), kwargs = {}) 2025-06-05T23:27:03.0263197Z %aten_select_copy_int_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_19, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0264488Z %aten_select_copy_int_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_20, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0265758Z %aten_select_copy_int_28 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_21, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0267035Z %aten_select_copy_int_30 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_22, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0268386Z %aten_select_copy_int_32 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_23, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0269653Z %aten_select_copy_int_34 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_24, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0271041Z %aten_select_copy_int_36 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_25, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0272330Z %aten_select_copy_int_38 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_26, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0273794Z %aten_select_copy_int_40 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_27, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0275162Z %aten_select_copy_int_42 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_28, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0276450Z %aten_select_copy_int_44 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_29, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0277714Z %aten_select_copy_int_46 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_30, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0279026Z %aten_mul_tensor_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_3, %aten_view_copy_default_5), kwargs = {}) 2025-06-05T23:27:03.0280359Z %aten_mul_tensor_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_3, %aten_view_copy_default_6), kwargs = {}) 2025-06-05T23:27:03.0281773Z %aten_mul_tensor_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_4, %aten_view_copy_default_6), kwargs = {}) 2025-06-05T23:27:03.0283095Z %aten_mul_tensor_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_4, %aten_view_copy_default_5), kwargs = {}) 2025-06-05T23:27:03.0284467Z %aten_mul_tensor_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_5, %aten_view_copy_default_5), kwargs = {}) 2025-06-05T23:27:03.0285779Z %aten_mul_tensor_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_5, %aten_view_copy_default_6), kwargs = {}) 2025-06-05T23:27:03.0287106Z %aten_mul_tensor_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_6, %aten_view_copy_default_6), kwargs = {}) 2025-06-05T23:27:03.0288427Z %aten_mul_tensor_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_6, %aten_view_copy_default_5), kwargs = {}) 2025-06-05T23:27:03.0289706Z %aten_select_copy_int_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_24, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0290952Z %aten_select_copy_int_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_26, 0, 1), kwargs = {}) 2025-06-05T23:27:03.0292196Z %aten_select_copy_int_29 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_28, 0, 2), kwargs = {}) 2025-06-05T23:27:03.0293501Z %aten_select_copy_int_31 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_30, 0, 3), kwargs = {}) 2025-06-05T23:27:03.0294750Z %aten_select_copy_int_33 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_32, 0, 4), kwargs = {}) 2025-06-05T23:27:03.0296039Z %aten_select_copy_int_35 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_34, 0, 5), kwargs = {}) 2025-06-05T23:27:03.0297273Z %aten_select_copy_int_37 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_36, 0, 6), kwargs = {}) 2025-06-05T23:27:03.0298508Z %aten_select_copy_int_39 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_38, 0, 7), kwargs = {}) 2025-06-05T23:27:03.0299766Z %aten_select_copy_int_41 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_40, 0, 8), kwargs = {}) 2025-06-05T23:27:03.0301016Z %aten_select_copy_int_43 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_42, 0, 9), kwargs = {}) 2025-06-05T23:27:03.0302261Z %aten_select_copy_int_45 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_44, 0, 10), kwargs = {}) 2025-06-05T23:27:03.0303496Z %aten_select_copy_int_47 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_46, 0, 11), kwargs = {}) 2025-06-05T23:27:03.0304736Z %aten_sub_tensor : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_2, %aten_mul_tensor_3), kwargs = {}) 2025-06-05T23:27:03.0305959Z %aten_add_tensor : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_4, %aten_mul_tensor_5), kwargs = {}) 2025-06-05T23:27:03.0307172Z %aten_sub_tensor_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_6, %aten_mul_tensor_7), kwargs = {}) 2025-06-05T23:27:03.0308398Z %aten_add_tensor_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_8, %aten_mul_tensor_9), kwargs = {}) 2025-06-05T23:27:03.0310535Z %aten_cat_default_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_select_copy_int_25, %aten_select_copy_int_27, %aten_select_copy_int_29, %aten_select_copy_int_31, %aten_select_copy_int_33, %aten_select_copy_int_35, %aten_select_copy_int_37, %aten_select_copy_int_39, %aten_select_copy_int_41, %aten_select_copy_int_43, %aten_select_copy_int_45, %aten_select_copy_int_47],), kwargs = {}) 2025-06-05T23:27:03.0312771Z %aten_unsqueeze_copy_default_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor, 4), kwargs = {}) 2025-06-05T23:27:03.0314084Z %aten_unsqueeze_copy_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor, 4), kwargs = {}) 2025-06-05T23:27:03.0315415Z %aten_unsqueeze_copy_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_1, 4), kwargs = {}) 2025-06-05T23:27:03.0316744Z %aten_unsqueeze_copy_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_1, 4), kwargs = {}) 2025-06-05T23:27:03.0318092Z %aten_view_copy_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_3, [1, 12, 128, 64]), kwargs = {}) 2025-06-05T23:27:03.0319488Z %aten_cat_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_3, %aten_unsqueeze_copy_default_4], -1), kwargs = {}) 2025-06-05T23:27:03.0320976Z %aten_cat_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_5, %aten_unsqueeze_copy_default_6], -1), kwargs = {}) 2025-06-05T23:27:03.0322342Z %aten_view_copy_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.0323637Z %aten_view_copy_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_1, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.0325017Z %aten_permute_copy_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_7, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0326607Z %aten_index_put_default : [num_users=13] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%b_layers_0_attention_kv_cache_past_k_caches, [None, %aten__to_copy_default_1], %aten_view_copy_default_8), kwargs = {}) 2025-06-05T23:27:03.0328201Z %aten_permute_copy_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0329589Z %aten_permute_copy_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0330972Z %aten_permute_copy_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0332362Z %aten_permute_copy_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0333756Z %aten_permute_copy_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0335167Z %aten_permute_copy_default_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0336551Z %aten_permute_copy_default_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0337949Z %aten_permute_copy_default_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0339326Z %aten_permute_copy_default_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0340724Z %aten_permute_copy_default_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0342111Z %aten_permute_copy_default_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0343537Z %aten_permute_copy_default_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0344868Z %aten_select_copy_int : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_7, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0346168Z %aten_select_copy_int_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_8, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0347427Z %aten_select_copy_int_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_9, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0348706Z %aten_select_copy_int_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_10, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0350014Z %aten_select_copy_int_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_11, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0351346Z %aten_select_copy_int_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_12, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0352625Z %aten_select_copy_int_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_13, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0353905Z %aten_select_copy_int_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_14, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0355173Z %aten_select_copy_int_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_15, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0356452Z %aten_select_copy_int_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_16, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0357718Z %aten_select_copy_int_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_17, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0359030Z %aten_select_copy_int_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_18, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0360284Z %aten_select_copy_int_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0361504Z %aten_select_copy_int_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_2, 0, 1), kwargs = {}) 2025-06-05T23:27:03.0362739Z %aten_select_copy_int_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_4, 0, 2), kwargs = {}) 2025-06-05T23:27:03.0364120Z %aten_select_copy_int_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_6, 0, 3), kwargs = {}) 2025-06-05T23:27:03.0365345Z %aten_select_copy_int_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_8, 0, 4), kwargs = {}) 2025-06-05T23:27:03.0366584Z %aten_select_copy_int_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_10, 0, 5), kwargs = {}) 2025-06-05T23:27:03.0367827Z %aten_select_copy_int_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_12, 0, 6), kwargs = {}) 2025-06-05T23:27:03.0369099Z %aten_select_copy_int_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_14, 0, 7), kwargs = {}) 2025-06-05T23:27:03.0370371Z %aten_select_copy_int_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_16, 0, 8), kwargs = {}) 2025-06-05T23:27:03.0371620Z %aten_select_copy_int_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_18, 0, 9), kwargs = {}) 2025-06-05T23:27:03.0373051Z %aten_select_copy_int_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_20, 0, 10), kwargs = {}) 2025-06-05T23:27:03.0374391Z %aten_select_copy_int_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_22, 0, 11), kwargs = {}) 2025-06-05T23:27:03.0376488Z %aten_cat_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_select_copy_int_1, %aten_select_copy_int_3, %aten_select_copy_int_5, %aten_select_copy_int_7, %aten_select_copy_int_9, %aten_select_copy_int_11, %aten_select_copy_int_13, %aten_select_copy_int_15, %aten_select_copy_int_17, %aten_select_copy_int_19, %aten_select_copy_int_21, %aten_select_copy_int_23],), kwargs = {}) 2025-06-05T23:27:03.0378624Z %aten_view_copy_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_2, [1, 12, 128, 64]), kwargs = {}) 2025-06-05T23:27:03.0379977Z %aten_permute_copy_default_31 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_9, [0, 1, 3, 2]), kwargs = {}) 2025-06-05T23:27:03.0381417Z %aten_matmul_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.matmul.default](args = (%aten_permute_copy_default_6, %aten_permute_copy_default_31), kwargs = {}) 2025-06-05T23:27:03.0383001Z %aten_mul_tensor_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_matmul_default, %quantized_decomposed_dequantize_per_tensor_default_340), kwargs = {}) 2025-06-05T23:27:03.0384594Z %aten_add_tensor_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_10, %aten_index_tensor_2), kwargs = {}) 2025-06-05T23:27:03.0385869Z %aten__softmax_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._softmax.default](args = (%aten_add_tensor_2, -1, False), kwargs = {}) 2025-06-05T23:27:03.0387219Z %aten_matmul_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.matmul.default](args = (%aten__softmax_default, %aten_view_copy_default_10), kwargs = {}) 2025-06-05T23:27:03.0388610Z %aten_permute_copy_default_32 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_matmul_default_1, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0390002Z %aten_view_copy_default_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_permute_copy_default_32, [1, 1, 768]), kwargs = {}) 2025-06-05T23:27:03.0391469Z %aten_unsqueeze_copy_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_view_copy_default_17, -1), kwargs = {}) 2025-06-05T23:27:03.0392886Z %aten_permute_copy_default_33 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_7, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0394700Z %aten_convolution_default_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_33, %quantized_decomposed_dequantize_per_tensor_default_5, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.0396529Z %aten_permute_copy_default_34 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_3, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0397903Z %aten_squeeze_copy_dims_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_34, [-1]), kwargs = {}) 2025-06-05T23:27:03.0399258Z %aten_add_tensor_3 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_embedding_default, %aten_squeeze_copy_dims_7), kwargs = {}) 2025-06-05T23:27:03.0400863Z %aten_rms_norm_default_1 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.rms_norm.default](args = (%aten_add_tensor_3, [768], %quantized_decomposed_dequantize_per_tensor_default_6, 9.999999747378752e-06), kwargs = {}) 2025-06-05T23:27:03.0402454Z %aten_unsqueeze_copy_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_1, -1), kwargs = {}) 2025-06-05T23:27:03.0403838Z %aten_unsqueeze_copy_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_1, -1), kwargs = {}) 2025-06-05T23:27:03.0405261Z %aten_permute_copy_default_35 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_8, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0406718Z %aten_permute_copy_default_37 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_9, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0408601Z %aten_convolution_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_35, %quantized_decomposed_dequantize_per_tensor_default_7, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.0410721Z %aten_convolution_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_37, %quantized_decomposed_dequantize_per_tensor_default_8, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.0412469Z %aten_permute_copy_default_36 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_4, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0413927Z %aten_permute_copy_default_38 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_5, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0415308Z %aten_squeeze_copy_dims_8 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_36, [-1]), kwargs = {}) 2025-06-05T23:27:03.0416628Z %aten_squeeze_copy_dims_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_38, [-1]), kwargs = {}) 2025-06-05T23:27:03.0417925Z %aten_sigmoid_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sigmoid.default](args = (%aten_squeeze_copy_dims_8,), kwargs = {}) 2025-06-05T23:27:03.0419206Z %aten_mul_tensor_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_8, %aten_sigmoid_default), kwargs = {}) 2025-06-05T23:27:03.0420549Z %aten_mul_tensor_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_13, %aten_squeeze_copy_dims_9), kwargs = {}) 2025-06-05T23:27:03.0421891Z %aten_unsqueeze_copy_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_mul_tensor_14, -1), kwargs = {}) 2025-06-05T23:27:03.0423308Z %aten_permute_copy_default_39 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_10, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0425092Z %aten_convolution_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_39, %quantized_decomposed_dequantize_per_tensor_default_9, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.0426885Z %aten_permute_copy_default_40 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_6, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0428262Z %aten_squeeze_copy_dims_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_40, [-1]), kwargs = {}) 2025-06-05T23:27:03.0429578Z %aten_add_tensor_4 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_3, %aten_squeeze_copy_dims_10), kwargs = {}) 2025-06-05T23:27:03.0431181Z %aten_rms_norm_default_2 : [num_users=3] = call_function[target=executorch.exir.dialects.edge._ops.aten.rms_norm.default](args = (%aten_add_tensor_4, [768], %quantized_decomposed_dequantize_per_tensor_default_10, 9.999999747378752e-06), kwargs = {}) 2025-06-05T23:27:03.0432769Z %aten_unsqueeze_copy_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_2, -1), kwargs = {}) 2025-06-05T23:27:03.0434160Z %aten_unsqueeze_copy_default_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_2, -1), kwargs = {}) 2025-06-05T23:27:03.0435547Z %aten_unsqueeze_copy_default_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_2, -1), kwargs = {}) 2025-06-05T23:27:03.0437013Z %aten_permute_copy_default_41 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_11, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0438484Z %aten_permute_copy_default_43 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_12, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0439950Z %aten_permute_copy_default_45 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_13, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0441717Z %aten_convolution_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_41, %quantized_decomposed_dequantize_per_tensor_default_11, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.0443787Z %aten_convolution_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_43, %quantized_decomposed_dequantize_per_tensor_default_12, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.0445890Z %aten_convolution_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_45, %quantized_decomposed_dequantize_per_tensor_default_13, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.0447669Z %aten_permute_copy_default_42 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_7, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0449090Z %aten_permute_copy_default_44 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_8, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0450509Z %aten_permute_copy_default_46 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_9, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0451926Z %aten_squeeze_copy_dims_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_42, [-1]), kwargs = {}) 2025-06-05T23:27:03.0453244Z %aten_squeeze_copy_dims_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_44, [-1]), kwargs = {}) 2025-06-05T23:27:03.0454610Z %aten_squeeze_copy_dims_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_46, [-1]), kwargs = {}) 2025-06-05T23:27:03.0456022Z %aten_view_copy_default_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_11, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.0457367Z %aten_view_copy_default_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_12, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.0458722Z %aten_view_copy_default_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_13, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.0460088Z %aten_view_copy_default_21 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_18, [1, 1, 12, -1, 2]), kwargs = {}) 2025-06-05T23:27:03.0461448Z %aten_view_copy_default_22 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_19, [1, 1, 12, -1, 2]), kwargs = {}) 2025-06-05T23:27:03.0463086Z %aten_index_put_default_3 : [num_users=13] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%b_layers_1_attention_kv_cache_past_v_caches, [None, %aten__to_copy_default_1], %aten_view_copy_default_20), kwargs = {}) 2025-06-05T23:27:03.0464655Z %aten_slice_copy_tensor_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_21, 4, 0, 1), kwargs = {}) 2025-06-05T23:27:03.0466269Z %aten_slice_copy_tensor_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_21, 4, 1, 2), kwargs = {}) 2025-06-05T23:27:03.0467605Z %aten_slice_copy_tensor_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_22, 4, 0, 1), kwargs = {}) 2025-06-05T23:27:03.0468932Z %aten_slice_copy_tensor_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_22, 4, 1, 2), kwargs = {}) 2025-06-05T23:27:03.0470290Z %aten_permute_copy_default_60 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_3, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0471831Z %aten_permute_copy_default_61 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_3, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0473510Z %aten_permute_copy_default_62 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_3, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0474909Z %aten_permute_copy_default_63 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_3, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0476312Z %aten_permute_copy_default_64 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_3, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0477836Z %aten_permute_copy_default_65 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_3, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0479220Z %aten_permute_copy_default_66 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_3, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0480631Z %aten_permute_copy_default_67 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_3, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0482030Z %aten_permute_copy_default_68 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_3, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0483416Z %aten_permute_copy_default_69 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_3, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0484823Z %aten_permute_copy_default_70 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_3, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0486218Z %aten_permute_copy_default_71 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_3, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0487596Z %aten_squeeze_copy_dims_14 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_4, [4]), kwargs = {}) 2025-06-05T23:27:03.0488892Z %aten_squeeze_copy_dims_15 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_5, [4]), kwargs = {}) 2025-06-05T23:27:03.0490195Z %aten_squeeze_copy_dims_16 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_6, [4]), kwargs = {}) 2025-06-05T23:27:03.0491472Z %aten_squeeze_copy_dims_17 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_7, [4]), kwargs = {}) 2025-06-05T23:27:03.0492759Z %aten_select_copy_int_72 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_60, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0494037Z %aten_select_copy_int_74 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_61, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0495312Z %aten_select_copy_int_76 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_62, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0496640Z %aten_select_copy_int_78 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_63, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0497911Z %aten_select_copy_int_80 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_64, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0499238Z %aten_select_copy_int_82 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_65, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0500517Z %aten_select_copy_int_84 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_66, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0501781Z %aten_select_copy_int_86 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_67, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0503083Z %aten_select_copy_int_88 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_68, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0504359Z %aten_select_copy_int_90 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_69, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0505619Z %aten_select_copy_int_92 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_70, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0506895Z %aten_select_copy_int_94 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_71, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0508206Z %aten_mul_tensor_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_14, %aten_view_copy_default_23), kwargs = {}) 2025-06-05T23:27:03.0509536Z %aten_mul_tensor_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_14, %aten_view_copy_default_24), kwargs = {}) 2025-06-05T23:27:03.0510951Z %aten_mul_tensor_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_15, %aten_view_copy_default_24), kwargs = {}) 2025-06-05T23:27:03.0512338Z %aten_mul_tensor_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_15, %aten_view_copy_default_23), kwargs = {}) 2025-06-05T23:27:03.0513670Z %aten_mul_tensor_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_16, %aten_view_copy_default_23), kwargs = {}) 2025-06-05T23:27:03.0515011Z %aten_mul_tensor_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_16, %aten_view_copy_default_24), kwargs = {}) 2025-06-05T23:27:03.0516353Z %aten_mul_tensor_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_17, %aten_view_copy_default_24), kwargs = {}) 2025-06-05T23:27:03.0517685Z %aten_mul_tensor_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_17, %aten_view_copy_default_23), kwargs = {}) 2025-06-05T23:27:03.0518984Z %aten_select_copy_int_73 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_72, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0520235Z %aten_select_copy_int_75 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_74, 0, 1), kwargs = {}) 2025-06-05T23:27:03.0521516Z %aten_select_copy_int_77 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_76, 0, 2), kwargs = {}) 2025-06-05T23:27:03.0522790Z %aten_select_copy_int_79 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_78, 0, 3), kwargs = {}) 2025-06-05T23:27:03.0524031Z %aten_select_copy_int_81 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_80, 0, 4), kwargs = {}) 2025-06-05T23:27:03.0525264Z %aten_select_copy_int_83 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_82, 0, 5), kwargs = {}) 2025-06-05T23:27:03.0526507Z %aten_select_copy_int_85 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_84, 0, 6), kwargs = {}) 2025-06-05T23:27:03.0527777Z %aten_select_copy_int_87 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_86, 0, 7), kwargs = {}) 2025-06-05T23:27:03.0529011Z %aten_select_copy_int_89 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_88, 0, 8), kwargs = {}) 2025-06-05T23:27:03.0530259Z %aten_select_copy_int_91 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_90, 0, 9), kwargs = {}) 2025-06-05T23:27:03.0531502Z %aten_select_copy_int_93 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_92, 0, 10), kwargs = {}) 2025-06-05T23:27:03.0532744Z %aten_select_copy_int_95 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_94, 0, 11), kwargs = {}) 2025-06-05T23:27:03.0533997Z %aten_sub_tensor_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_17, %aten_mul_tensor_18), kwargs = {}) 2025-06-05T23:27:03.0535230Z %aten_add_tensor_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_19, %aten_mul_tensor_20), kwargs = {}) 2025-06-05T23:27:03.0536451Z %aten_sub_tensor_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_21, %aten_mul_tensor_22), kwargs = {}) 2025-06-05T23:27:03.0537714Z %aten_add_tensor_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_23, %aten_mul_tensor_24), kwargs = {}) 2025-06-05T23:27:03.0539820Z %aten_cat_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_select_copy_int_73, %aten_select_copy_int_75, %aten_select_copy_int_77, %aten_select_copy_int_79, %aten_select_copy_int_81, %aten_select_copy_int_83, %aten_select_copy_int_85, %aten_select_copy_int_87, %aten_select_copy_int_89, %aten_select_copy_int_91, %aten_select_copy_int_93, %aten_select_copy_int_95],), kwargs = {}) 2025-06-05T23:27:03.0541962Z %aten_unsqueeze_copy_default_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_2, 4), kwargs = {}) 2025-06-05T23:27:03.0543306Z %aten_unsqueeze_copy_default_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_5, 4), kwargs = {}) 2025-06-05T23:27:03.0544641Z %aten_unsqueeze_copy_default_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_3, 4), kwargs = {}) 2025-06-05T23:27:03.0545989Z %aten_unsqueeze_copy_default_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_6, 4), kwargs = {}) 2025-06-05T23:27:03.0547311Z %aten_view_copy_default_28 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_7, [1, 12, 128, 64]), kwargs = {}) 2025-06-05T23:27:03.0548735Z %aten_cat_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_14, %aten_unsqueeze_copy_default_15], -1), kwargs = {}) 2025-06-05T23:27:03.0550195Z %aten_cat_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_16, %aten_unsqueeze_copy_default_17], -1), kwargs = {}) 2025-06-05T23:27:03.0551708Z %aten_view_copy_default_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_4, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.0553017Z %aten_view_copy_default_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_5, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.0554360Z %aten_permute_copy_default_47 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_25, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0555976Z %aten_index_put_default_2 : [num_users=13] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%b_layers_1_attention_kv_cache_past_k_caches, [None, %aten__to_copy_default_1], %aten_view_copy_default_26), kwargs = {}) 2025-06-05T23:27:03.0557590Z %aten_permute_copy_default_48 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_2, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0558979Z %aten_permute_copy_default_49 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_2, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0560384Z %aten_permute_copy_default_50 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_2, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0561817Z %aten_permute_copy_default_51 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_2, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0563211Z %aten_permute_copy_default_52 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_2, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0564621Z %aten_permute_copy_default_53 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_2, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0566026Z %aten_permute_copy_default_54 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_2, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0567426Z %aten_permute_copy_default_55 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_2, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0568969Z %aten_permute_copy_default_56 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_2, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0570378Z %aten_permute_copy_default_57 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_2, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0571802Z %aten_permute_copy_default_58 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_2, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0573429Z %aten_permute_copy_default_59 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_2, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0574779Z %aten_select_copy_int_48 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_48, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0576053Z %aten_select_copy_int_50 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_49, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0577437Z %aten_select_copy_int_52 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_50, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0578716Z %aten_select_copy_int_54 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_51, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0579985Z %aten_select_copy_int_56 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_52, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0581269Z %aten_select_copy_int_58 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_53, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0582547Z %aten_select_copy_int_60 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_54, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0583906Z %aten_select_copy_int_62 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_55, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0585185Z %aten_select_copy_int_64 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_56, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0586468Z %aten_select_copy_int_66 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_57, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0587783Z %aten_select_copy_int_68 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_58, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0589057Z %aten_select_copy_int_70 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_59, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0590322Z %aten_select_copy_int_49 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_48, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0591622Z %aten_select_copy_int_51 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_50, 0, 1), kwargs = {}) 2025-06-05T23:27:03.0592863Z %aten_select_copy_int_53 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_52, 0, 2), kwargs = {}) 2025-06-05T23:27:03.0594107Z %aten_select_copy_int_55 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_54, 0, 3), kwargs = {}) 2025-06-05T23:27:03.0595336Z %aten_select_copy_int_57 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_56, 0, 4), kwargs = {}) 2025-06-05T23:27:03.0596630Z %aten_select_copy_int_59 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_58, 0, 5), kwargs = {}) 2025-06-05T23:27:03.0597909Z %aten_select_copy_int_61 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_60, 0, 6), kwargs = {}) 2025-06-05T23:27:03.0599141Z %aten_select_copy_int_63 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_62, 0, 7), kwargs = {}) 2025-06-05T23:27:03.0600392Z %aten_select_copy_int_65 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_64, 0, 8), kwargs = {}) 2025-06-05T23:27:03.0601635Z %aten_select_copy_int_67 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_66, 0, 9), kwargs = {}) 2025-06-05T23:27:03.0602907Z %aten_select_copy_int_69 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_68, 0, 10), kwargs = {}) 2025-06-05T23:27:03.0604156Z %aten_select_copy_int_71 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_70, 0, 11), kwargs = {}) 2025-06-05T23:27:03.0606259Z %aten_cat_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_select_copy_int_49, %aten_select_copy_int_51, %aten_select_copy_int_53, %aten_select_copy_int_55, %aten_select_copy_int_57, %aten_select_copy_int_59, %aten_select_copy_int_61, %aten_select_copy_int_63, %aten_select_copy_int_65, %aten_select_copy_int_67, %aten_select_copy_int_69, %aten_select_copy_int_71],), kwargs = {}) 2025-06-05T23:27:03.0608388Z %aten_view_copy_default_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_6, [1, 12, 128, 64]), kwargs = {}) 2025-06-05T23:27:03.0609751Z %aten_permute_copy_default_72 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_27, [0, 1, 3, 2]), kwargs = {}) 2025-06-05T23:27:03.0611290Z %aten_matmul_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.matmul.default](args = (%aten_permute_copy_default_47, %aten_permute_copy_default_72), kwargs = {}) 2025-06-05T23:27:03.0612921Z %aten_mul_tensor_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_matmul_default_2, %quantized_decomposed_dequantize_per_tensor_default_542), kwargs = {}) 2025-06-05T23:27:03.0614328Z %aten_add_tensor_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_25, %aten_index_tensor_3), kwargs = {}) 2025-06-05T23:27:03.0615609Z %aten__softmax_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._softmax.default](args = (%aten_add_tensor_7, -1, False), kwargs = {}) 2025-06-05T23:27:03.0616955Z %aten_matmul_default_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.matmul.default](args = (%aten__softmax_default_1, %aten_view_copy_default_28), kwargs = {}) 2025-06-05T23:27:03.0618358Z %aten_permute_copy_default_73 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_matmul_default_3, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0619730Z %aten_view_copy_default_35 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_permute_copy_default_73, [1, 1, 768]), kwargs = {}) 2025-06-05T23:27:03.0621132Z %aten_unsqueeze_copy_default_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_view_copy_default_35, -1), kwargs = {}) 2025-06-05T23:27:03.0622562Z %aten_permute_copy_default_74 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_18, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0624358Z %aten_convolution_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_74, %quantized_decomposed_dequantize_per_tensor_default_14, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.0626098Z %aten_permute_copy_default_75 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_10, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0627511Z %aten_squeeze_copy_dims_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_75, [-1]), kwargs = {}) 2025-06-05T23:27:03.0628813Z %aten_add_tensor_8 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_4, %aten_squeeze_copy_dims_18), kwargs = {}) 2025-06-05T23:27:03.0630328Z %aten_rms_norm_default_3 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.rms_norm.default](args = (%aten_add_tensor_8, [768], %quantized_decomposed_dequantize_per_tensor_default_15, 9.999999747378752e-06), kwargs = {}) 2025-06-05T23:27:03.0631988Z %aten_unsqueeze_copy_default_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_3, -1), kwargs = {}) 2025-06-05T23:27:03.0633373Z %aten_unsqueeze_copy_default_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_3, -1), kwargs = {}) 2025-06-05T23:27:03.0634779Z %aten_permute_copy_default_76 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_19, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0636236Z %aten_permute_copy_default_78 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_20, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0638044Z %aten_convolution_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_76, %quantized_decomposed_dequantize_per_tensor_default_16, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.0640124Z %aten_convolution_default_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_78, %quantized_decomposed_dequantize_per_tensor_default_17, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.0641852Z %aten_permute_copy_default_77 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_11, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0643286Z %aten_permute_copy_default_79 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_12, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0644661Z %aten_squeeze_copy_dims_19 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_77, [-1]), kwargs = {}) 2025-06-05T23:27:03.0645966Z %aten_squeeze_copy_dims_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_79, [-1]), kwargs = {}) 2025-06-05T23:27:03.0647291Z %aten_sigmoid_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sigmoid.default](args = (%aten_squeeze_copy_dims_19,), kwargs = {}) 2025-06-05T23:27:03.0648613Z %aten_mul_tensor_28 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_19, %aten_sigmoid_default_1), kwargs = {}) 2025-06-05T23:27:03.0649899Z %aten_mul_tensor_29 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_28, %aten_squeeze_copy_dims_20), kwargs = {}) 2025-06-05T23:27:03.0651219Z %aten_unsqueeze_copy_default_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_mul_tensor_29, -1), kwargs = {}) 2025-06-05T23:27:03.0652620Z %aten_permute_copy_default_80 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_21, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0654400Z %aten_convolution_default_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_80, %quantized_decomposed_dequantize_per_tensor_default_18, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.0656142Z %aten_permute_copy_default_81 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_13, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0657521Z %aten_squeeze_copy_dims_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_81, [-1]), kwargs = {}) 2025-06-05T23:27:03.0658799Z %aten_add_tensor_9 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_8, %aten_squeeze_copy_dims_21), kwargs = {}) 2025-06-05T23:27:03.0660426Z %aten_rms_norm_default_4 : [num_users=3] = call_function[target=executorch.exir.dialects.edge._ops.aten.rms_norm.default](args = (%aten_add_tensor_9, [768], %quantized_decomposed_dequantize_per_tensor_default_19, 9.999999747378752e-06), kwargs = {}) 2025-06-05T23:27:03.0662012Z %aten_unsqueeze_copy_default_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_4, -1), kwargs = {}) 2025-06-05T23:27:03.0663419Z %aten_unsqueeze_copy_default_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_4, -1), kwargs = {}) 2025-06-05T23:27:03.0664793Z %aten_unsqueeze_copy_default_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_4, -1), kwargs = {}) 2025-06-05T23:27:03.0666205Z %aten_permute_copy_default_82 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_22, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0667648Z %aten_permute_copy_default_84 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_23, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0669094Z %aten_permute_copy_default_86 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_24, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0671244Z %aten_convolution_default_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_82, %quantized_decomposed_dequantize_per_tensor_default_20, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.0673597Z %aten_convolution_default_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_84, %quantized_decomposed_dequantize_per_tensor_default_21, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.0675708Z %aten_convolution_default_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_86, %quantized_decomposed_dequantize_per_tensor_default_22, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.0677458Z %aten_permute_copy_default_83 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_14, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0678882Z %aten_permute_copy_default_85 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_15, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0680343Z %aten_permute_copy_default_87 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_16, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0681717Z %aten_squeeze_copy_dims_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_83, [-1]), kwargs = {}) 2025-06-05T23:27:03.0683043Z %aten_squeeze_copy_dims_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_85, [-1]), kwargs = {}) 2025-06-05T23:27:03.0684353Z %aten_squeeze_copy_dims_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_87, [-1]), kwargs = {}) 2025-06-05T23:27:03.0685697Z %aten_view_copy_default_36 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_22, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.0687054Z %aten_view_copy_default_37 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_23, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.0688390Z %aten_view_copy_default_38 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_24, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.0689788Z %aten_view_copy_default_39 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_36, [1, 1, 12, -1, 2]), kwargs = {}) 2025-06-05T23:27:03.0691162Z %aten_view_copy_default_40 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_37, [1, 1, 12, -1, 2]), kwargs = {}) 2025-06-05T23:27:03.0692743Z %aten_index_put_default_5 : [num_users=13] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%b_layers_2_attention_kv_cache_past_v_caches, [None, %aten__to_copy_default_1], %aten_view_copy_default_38), kwargs = {}) 2025-06-05T23:27:03.0694314Z %aten_slice_copy_tensor_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_39, 4, 0, 1), kwargs = {}) 2025-06-05T23:27:03.0695620Z %aten_slice_copy_tensor_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_39, 4, 1, 2), kwargs = {}) 2025-06-05T23:27:03.0696929Z %aten_slice_copy_tensor_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_40, 4, 0, 1), kwargs = {}) 2025-06-05T23:27:03.0698271Z %aten_slice_copy_tensor_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_40, 4, 1, 2), kwargs = {}) 2025-06-05T23:27:03.0699634Z %aten_permute_copy_default_101 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_5, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0701056Z %aten_permute_copy_default_102 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_5, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0702481Z %aten_permute_copy_default_103 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_5, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0703895Z %aten_permute_copy_default_104 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_5, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0705322Z %aten_permute_copy_default_105 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_5, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0706727Z %aten_permute_copy_default_106 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_5, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0708141Z %aten_permute_copy_default_107 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_5, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0709543Z %aten_permute_copy_default_108 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_5, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0711035Z %aten_permute_copy_default_109 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_5, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0712537Z %aten_permute_copy_default_110 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_5, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0713931Z %aten_permute_copy_default_111 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_5, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0715380Z %aten_permute_copy_default_112 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_5, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0716747Z %aten_squeeze_copy_dims_25 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_8, [4]), kwargs = {}) 2025-06-05T23:27:03.0718025Z %aten_squeeze_copy_dims_26 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_9, [4]), kwargs = {}) 2025-06-05T23:27:03.0719328Z %aten_squeeze_copy_dims_27 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_10, [4]), kwargs = {}) 2025-06-05T23:27:03.0720629Z %aten_squeeze_copy_dims_28 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_11, [4]), kwargs = {}) 2025-06-05T23:27:03.0721916Z %aten_select_copy_int_120 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_101, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0723240Z %aten_select_copy_int_122 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_102, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0724538Z %aten_select_copy_int_124 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_103, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0725843Z %aten_select_copy_int_126 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_104, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0727141Z %aten_select_copy_int_128 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_105, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0728434Z %aten_select_copy_int_130 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_106, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0729742Z %aten_select_copy_int_132 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_107, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0731039Z %aten_select_copy_int_134 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_108, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0732324Z %aten_select_copy_int_136 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_109, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0733607Z %aten_select_copy_int_138 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_110, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0734904Z %aten_select_copy_int_140 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_111, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0736186Z %aten_select_copy_int_142 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_112, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0737511Z %aten_mul_tensor_32 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_25, %aten_view_copy_default_41), kwargs = {}) 2025-06-05T23:27:03.0738897Z %aten_mul_tensor_34 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_25, %aten_view_copy_default_42), kwargs = {}) 2025-06-05T23:27:03.0740228Z %aten_mul_tensor_33 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_26, %aten_view_copy_default_42), kwargs = {}) 2025-06-05T23:27:03.0741571Z %aten_mul_tensor_35 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_26, %aten_view_copy_default_41), kwargs = {}) 2025-06-05T23:27:03.0742906Z %aten_mul_tensor_36 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_27, %aten_view_copy_default_41), kwargs = {}) 2025-06-05T23:27:03.0744233Z %aten_mul_tensor_38 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_27, %aten_view_copy_default_42), kwargs = {}) 2025-06-05T23:27:03.0745571Z %aten_mul_tensor_37 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_28, %aten_view_copy_default_42), kwargs = {}) 2025-06-05T23:27:03.0746920Z %aten_mul_tensor_39 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_28, %aten_view_copy_default_41), kwargs = {}) 2025-06-05T23:27:03.0748237Z %aten_select_copy_int_121 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_120, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0749533Z %aten_select_copy_int_123 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_122, 0, 1), kwargs = {}) 2025-06-05T23:27:03.0750805Z %aten_select_copy_int_125 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_124, 0, 2), kwargs = {}) 2025-06-05T23:27:03.0752134Z %aten_select_copy_int_127 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_126, 0, 3), kwargs = {}) 2025-06-05T23:27:03.0753391Z %aten_select_copy_int_129 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_128, 0, 4), kwargs = {}) 2025-06-05T23:27:03.0754688Z %aten_select_copy_int_131 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_130, 0, 5), kwargs = {}) 2025-06-05T23:27:03.0755938Z %aten_select_copy_int_133 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_132, 0, 6), kwargs = {}) 2025-06-05T23:27:03.0757198Z %aten_select_copy_int_135 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_134, 0, 7), kwargs = {}) 2025-06-05T23:27:03.0758454Z %aten_select_copy_int_137 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_136, 0, 8), kwargs = {}) 2025-06-05T23:27:03.0759700Z %aten_select_copy_int_139 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_138, 0, 9), kwargs = {}) 2025-06-05T23:27:03.0760970Z %aten_select_copy_int_141 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_140, 0, 10), kwargs = {}) 2025-06-05T23:27:03.0762241Z %aten_select_copy_int_143 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_142, 0, 11), kwargs = {}) 2025-06-05T23:27:03.0763525Z %aten_sub_tensor_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_32, %aten_mul_tensor_33), kwargs = {}) 2025-06-05T23:27:03.0764760Z %aten_add_tensor_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_34, %aten_mul_tensor_35), kwargs = {}) 2025-06-05T23:27:03.0765997Z %aten_sub_tensor_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_36, %aten_mul_tensor_37), kwargs = {}) 2025-06-05T23:27:03.0767221Z %aten_add_tensor_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_38, %aten_mul_tensor_39), kwargs = {}) 2025-06-05T23:27:03.0769394Z %aten_cat_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_select_copy_int_121, %aten_select_copy_int_123, %aten_select_copy_int_125, %aten_select_copy_int_127, %aten_select_copy_int_129, %aten_select_copy_int_131, %aten_select_copy_int_133, %aten_select_copy_int_135, %aten_select_copy_int_137, %aten_select_copy_int_139, %aten_select_copy_int_141, %aten_select_copy_int_143],), kwargs = {}) 2025-06-05T23:27:03.0771598Z %aten_unsqueeze_copy_default_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_4, 4), kwargs = {}) 2025-06-05T23:27:03.0773339Z %aten_unsqueeze_copy_default_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_10, 4), kwargs = {}) 2025-06-05T23:27:03.0774729Z %aten_unsqueeze_copy_default_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_5, 4), kwargs = {}) 2025-06-05T23:27:03.0776063Z %aten_unsqueeze_copy_default_28 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_11, 4), kwargs = {}) 2025-06-05T23:27:03.0777383Z %aten_view_copy_default_46 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_11, [1, 12, 128, 64]), kwargs = {}) 2025-06-05T23:27:03.0778787Z %aten_cat_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_25, %aten_unsqueeze_copy_default_26], -1), kwargs = {}) 2025-06-05T23:27:03.0780305Z %aten_cat_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_27, %aten_unsqueeze_copy_default_28], -1), kwargs = {}) 2025-06-05T23:27:03.0781680Z %aten_view_copy_default_43 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_8, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.0782995Z %aten_view_copy_default_44 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_9, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.0784345Z %aten_permute_copy_default_88 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_43, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0785942Z %aten_index_put_default_4 : [num_users=13] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%b_layers_2_attention_kv_cache_past_k_caches, [None, %aten__to_copy_default_1], %aten_view_copy_default_44), kwargs = {}) 2025-06-05T23:27:03.0787549Z %aten_permute_copy_default_89 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_4, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0788995Z %aten_permute_copy_default_90 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_4, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0790397Z %aten_permute_copy_default_91 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_4, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0791862Z %aten_permute_copy_default_92 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_4, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0793262Z %aten_permute_copy_default_93 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_4, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0794670Z %aten_permute_copy_default_94 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_4, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0796056Z %aten_permute_copy_default_95 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_4, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0797450Z %aten_permute_copy_default_96 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_4, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0798905Z %aten_permute_copy_default_97 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_4, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0800313Z %aten_permute_copy_default_98 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_4, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0801708Z %aten_permute_copy_default_99 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_4, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0803110Z %aten_permute_copy_default_100 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_4, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0804482Z %aten_select_copy_int_96 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_89, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0805761Z %aten_select_copy_int_98 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_90, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0807039Z %aten_select_copy_int_100 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_91, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0808321Z %aten_select_copy_int_102 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_92, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0809603Z %aten_select_copy_int_104 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_93, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0810887Z %aten_select_copy_int_106 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_94, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0812180Z %aten_select_copy_int_108 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_95, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0813473Z %aten_select_copy_int_110 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_96, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0814784Z %aten_select_copy_int_112 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_97, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0816077Z %aten_select_copy_int_114 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_98, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0817371Z %aten_select_copy_int_116 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_99, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0818647Z %aten_select_copy_int_118 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_100, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0819923Z %aten_select_copy_int_97 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_96, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0821163Z %aten_select_copy_int_99 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_98, 0, 1), kwargs = {}) 2025-06-05T23:27:03.0822402Z %aten_select_copy_int_101 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_100, 0, 2), kwargs = {}) 2025-06-05T23:27:03.0823701Z %aten_select_copy_int_103 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_102, 0, 3), kwargs = {}) 2025-06-05T23:27:03.0824986Z %aten_select_copy_int_105 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_104, 0, 4), kwargs = {}) 2025-06-05T23:27:03.0826233Z %aten_select_copy_int_107 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_106, 0, 5), kwargs = {}) 2025-06-05T23:27:03.0827500Z %aten_select_copy_int_109 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_108, 0, 6), kwargs = {}) 2025-06-05T23:27:03.0828795Z %aten_select_copy_int_111 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_110, 0, 7), kwargs = {}) 2025-06-05T23:27:03.0830049Z %aten_select_copy_int_113 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_112, 0, 8), kwargs = {}) 2025-06-05T23:27:03.0831382Z %aten_select_copy_int_115 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_114, 0, 9), kwargs = {}) 2025-06-05T23:27:03.0832653Z %aten_select_copy_int_117 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_116, 0, 10), kwargs = {}) 2025-06-05T23:27:03.0833907Z %aten_select_copy_int_119 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_118, 0, 11), kwargs = {}) 2025-06-05T23:27:03.0836082Z %aten_cat_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_select_copy_int_97, %aten_select_copy_int_99, %aten_select_copy_int_101, %aten_select_copy_int_103, %aten_select_copy_int_105, %aten_select_copy_int_107, %aten_select_copy_int_109, %aten_select_copy_int_111, %aten_select_copy_int_113, %aten_select_copy_int_115, %aten_select_copy_int_117, %aten_select_copy_int_119],), kwargs = {}) 2025-06-05T23:27:03.0838264Z %aten_view_copy_default_45 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_10, [1, 12, 128, 64]), kwargs = {}) 2025-06-05T23:27:03.0839675Z %aten_permute_copy_default_113 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_45, [0, 1, 3, 2]), kwargs = {}) 2025-06-05T23:27:03.0841123Z %aten_matmul_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.matmul.default](args = (%aten_permute_copy_default_88, %aten_permute_copy_default_113), kwargs = {}) 2025-06-05T23:27:03.0842658Z %aten_mul_tensor_40 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_matmul_default_4, %quantized_decomposed_dequantize_per_tensor_default_744), kwargs = {}) 2025-06-05T23:27:03.0844065Z %aten_add_tensor_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_40, %aten_index_tensor_4), kwargs = {}) 2025-06-05T23:27:03.0845329Z %aten__softmax_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._softmax.default](args = (%aten_add_tensor_12, -1, False), kwargs = {}) 2025-06-05T23:27:03.0846686Z %aten_matmul_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.matmul.default](args = (%aten__softmax_default_2, %aten_view_copy_default_46), kwargs = {}) 2025-06-05T23:27:03.0848120Z %aten_permute_copy_default_114 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_matmul_default_5, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0849512Z %aten_view_copy_default_53 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_permute_copy_default_114, [1, 1, 768]), kwargs = {}) 2025-06-05T23:27:03.0850897Z %aten_unsqueeze_copy_default_29 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_view_copy_default_53, -1), kwargs = {}) 2025-06-05T23:27:03.0852338Z %aten_permute_copy_default_115 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_29, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0854145Z %aten_convolution_default_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_115, %quantized_decomposed_dequantize_per_tensor_default_23, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.0855910Z %aten_permute_copy_default_116 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_17, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0857292Z %aten_squeeze_copy_dims_29 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_116, [-1]), kwargs = {}) 2025-06-05T23:27:03.0858683Z %aten_add_tensor_13 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_9, %aten_squeeze_copy_dims_29), kwargs = {}) 2025-06-05T23:27:03.0860212Z %aten_rms_norm_default_5 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.rms_norm.default](args = (%aten_add_tensor_13, [768], %quantized_decomposed_dequantize_per_tensor_default_24, 9.999999747378752e-06), kwargs = {}) 2025-06-05T23:27:03.0861786Z %aten_unsqueeze_copy_default_30 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_5, -1), kwargs = {}) 2025-06-05T23:27:03.0863242Z %aten_unsqueeze_copy_default_31 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_5, -1), kwargs = {}) 2025-06-05T23:27:03.0864696Z %aten_permute_copy_default_117 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_30, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0866146Z %aten_permute_copy_default_119 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_31, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0867909Z %aten_convolution_default_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_117, %quantized_decomposed_dequantize_per_tensor_default_25, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.0869990Z %aten_convolution_default_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_119, %quantized_decomposed_dequantize_per_tensor_default_26, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.0871820Z %aten_permute_copy_default_118 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_18, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0873501Z %aten_permute_copy_default_120 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_19, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0875191Z %aten_squeeze_copy_dims_30 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_118, [-1]), kwargs = {}) 2025-06-05T23:27:03.0876593Z %aten_squeeze_copy_dims_31 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_120, [-1]), kwargs = {}) 2025-06-05T23:27:03.0877882Z %aten_sigmoid_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sigmoid.default](args = (%aten_squeeze_copy_dims_30,), kwargs = {}) 2025-06-05T23:27:03.0879186Z %aten_mul_tensor_43 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_30, %aten_sigmoid_default_2), kwargs = {}) 2025-06-05T23:27:03.0880544Z %aten_mul_tensor_44 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_43, %aten_squeeze_copy_dims_31), kwargs = {}) 2025-06-05T23:27:03.0881857Z %aten_unsqueeze_copy_default_32 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_mul_tensor_44, -1), kwargs = {}) 2025-06-05T23:27:03.0883260Z %aten_permute_copy_default_121 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_32, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0885035Z %aten_convolution_default_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_121, %quantized_decomposed_dequantize_per_tensor_default_27, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.0886783Z %aten_permute_copy_default_122 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_20, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0888165Z %aten_squeeze_copy_dims_32 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_122, [-1]), kwargs = {}) 2025-06-05T23:27:03.0889472Z %aten_add_tensor_14 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_13, %aten_squeeze_copy_dims_32), kwargs = {}) 2025-06-05T23:27:03.0891027Z %aten_rms_norm_default_6 : [num_users=3] = call_function[target=executorch.exir.dialects.edge._ops.aten.rms_norm.default](args = (%aten_add_tensor_14, [768], %quantized_decomposed_dequantize_per_tensor_default_28, 9.999999747378752e-06), kwargs = {}) 2025-06-05T23:27:03.0892605Z %aten_unsqueeze_copy_default_33 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_6, -1), kwargs = {}) 2025-06-05T23:27:03.0893986Z %aten_unsqueeze_copy_default_34 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_6, -1), kwargs = {}) 2025-06-05T23:27:03.0895355Z %aten_unsqueeze_copy_default_35 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_6, -1), kwargs = {}) 2025-06-05T23:27:03.0896766Z %aten_permute_copy_default_123 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_33, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0898222Z %aten_permute_copy_default_125 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_34, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0899715Z %aten_permute_copy_default_127 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_35, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0901508Z %aten_convolution_default_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_123, %quantized_decomposed_dequantize_per_tensor_default_29, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.0903586Z %aten_convolution_default_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_125, %quantized_decomposed_dequantize_per_tensor_default_30, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.0905656Z %aten_convolution_default_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_127, %quantized_decomposed_dequantize_per_tensor_default_31, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.0907429Z %aten_permute_copy_default_124 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_21, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0908870Z %aten_permute_copy_default_126 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_22, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0910310Z %aten_permute_copy_default_128 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_23, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0911766Z %aten_squeeze_copy_dims_33 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_124, [-1]), kwargs = {}) 2025-06-05T23:27:03.0913102Z %aten_squeeze_copy_dims_34 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_126, [-1]), kwargs = {}) 2025-06-05T23:27:03.0914439Z %aten_squeeze_copy_dims_35 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_128, [-1]), kwargs = {}) 2025-06-05T23:27:03.0915805Z %aten_view_copy_default_54 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_33, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.0917163Z %aten_view_copy_default_55 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_34, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.0918524Z %aten_view_copy_default_56 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_35, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.0919873Z %aten_view_copy_default_57 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_54, [1, 1, 12, -1, 2]), kwargs = {}) 2025-06-05T23:27:03.0921247Z %aten_view_copy_default_58 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_55, [1, 1, 12, -1, 2]), kwargs = {}) 2025-06-05T23:27:03.0922845Z %aten_index_put_default_7 : [num_users=13] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%b_layers_3_attention_kv_cache_past_v_caches, [None, %aten__to_copy_default_1], %aten_view_copy_default_56), kwargs = {}) 2025-06-05T23:27:03.0924398Z %aten_slice_copy_tensor_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_57, 4, 0, 1), kwargs = {}) 2025-06-05T23:27:03.0925753Z %aten_slice_copy_tensor_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_57, 4, 1, 2), kwargs = {}) 2025-06-05T23:27:03.0927092Z %aten_slice_copy_tensor_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_58, 4, 0, 1), kwargs = {}) 2025-06-05T23:27:03.0928398Z %aten_slice_copy_tensor_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_58, 4, 1, 2), kwargs = {}) 2025-06-05T23:27:03.0929767Z %aten_permute_copy_default_142 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_7, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0931206Z %aten_permute_copy_default_143 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_7, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0932602Z %aten_permute_copy_default_144 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_7, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0934020Z %aten_permute_copy_default_145 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_7, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0935431Z %aten_permute_copy_default_146 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_7, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0936815Z %aten_permute_copy_default_147 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_7, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0938220Z %aten_permute_copy_default_148 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_7, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0939625Z %aten_permute_copy_default_149 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_7, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0941042Z %aten_permute_copy_default_150 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_7, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0942449Z %aten_permute_copy_default_151 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_7, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0943848Z %aten_permute_copy_default_152 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_7, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0945244Z %aten_permute_copy_default_153 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_7, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.0946595Z %aten_squeeze_copy_dims_36 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_12, [4]), kwargs = {}) 2025-06-05T23:27:03.0947898Z %aten_squeeze_copy_dims_37 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_13, [4]), kwargs = {}) 2025-06-05T23:27:03.0949184Z %aten_squeeze_copy_dims_38 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_14, [4]), kwargs = {}) 2025-06-05T23:27:03.0950514Z %aten_squeeze_copy_dims_39 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_15, [4]), kwargs = {}) 2025-06-05T23:27:03.0951948Z %aten_select_copy_int_168 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_142, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0953229Z %aten_select_copy_int_170 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_143, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0954520Z %aten_select_copy_int_172 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_144, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0955846Z %aten_select_copy_int_174 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_145, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0957126Z %aten_select_copy_int_176 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_146, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0958520Z %aten_select_copy_int_178 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_147, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0959816Z %aten_select_copy_int_180 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_148, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0961094Z %aten_select_copy_int_182 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_149, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0962390Z %aten_select_copy_int_184 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_150, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0963692Z %aten_select_copy_int_186 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_151, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0964976Z %aten_select_copy_int_188 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_152, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0966311Z %aten_select_copy_int_190 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_153, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0967631Z %aten_mul_tensor_47 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_36, %aten_view_copy_default_59), kwargs = {}) 2025-06-05T23:27:03.0968963Z %aten_mul_tensor_49 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_36, %aten_view_copy_default_60), kwargs = {}) 2025-06-05T23:27:03.0970299Z %aten_mul_tensor_48 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_37, %aten_view_copy_default_60), kwargs = {}) 2025-06-05T23:27:03.0971635Z %aten_mul_tensor_50 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_37, %aten_view_copy_default_59), kwargs = {}) 2025-06-05T23:27:03.0973136Z %aten_mul_tensor_51 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_38, %aten_view_copy_default_59), kwargs = {}) 2025-06-05T23:27:03.0974552Z %aten_mul_tensor_53 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_38, %aten_view_copy_default_60), kwargs = {}) 2025-06-05T23:27:03.0975960Z %aten_mul_tensor_52 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_39, %aten_view_copy_default_60), kwargs = {}) 2025-06-05T23:27:03.0977401Z %aten_mul_tensor_54 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_39, %aten_view_copy_default_59), kwargs = {}) 2025-06-05T23:27:03.0978716Z %aten_select_copy_int_169 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_168, 0, 0), kwargs = {}) 2025-06-05T23:27:03.0979981Z %aten_select_copy_int_171 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_170, 0, 1), kwargs = {}) 2025-06-05T23:27:03.0981285Z %aten_select_copy_int_173 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_172, 0, 2), kwargs = {}) 2025-06-05T23:27:03.0982552Z %aten_select_copy_int_175 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_174, 0, 3), kwargs = {}) 2025-06-05T23:27:03.0983886Z %aten_select_copy_int_177 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_176, 0, 4), kwargs = {}) 2025-06-05T23:27:03.0985136Z %aten_select_copy_int_179 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_178, 0, 5), kwargs = {}) 2025-06-05T23:27:03.0986402Z %aten_select_copy_int_181 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_180, 0, 6), kwargs = {}) 2025-06-05T23:27:03.0987669Z %aten_select_copy_int_183 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_182, 0, 7), kwargs = {}) 2025-06-05T23:27:03.0988916Z %aten_select_copy_int_185 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_184, 0, 8), kwargs = {}) 2025-06-05T23:27:03.0990183Z %aten_select_copy_int_187 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_186, 0, 9), kwargs = {}) 2025-06-05T23:27:03.0991567Z %aten_select_copy_int_189 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_188, 0, 10), kwargs = {}) 2025-06-05T23:27:03.0992829Z %aten_select_copy_int_191 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_190, 0, 11), kwargs = {}) 2025-06-05T23:27:03.0994083Z %aten_sub_tensor_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_47, %aten_mul_tensor_48), kwargs = {}) 2025-06-05T23:27:03.0995317Z %aten_add_tensor_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_49, %aten_mul_tensor_50), kwargs = {}) 2025-06-05T23:27:03.0996536Z %aten_sub_tensor_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_51, %aten_mul_tensor_52), kwargs = {}) 2025-06-05T23:27:03.0997770Z %aten_add_tensor_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_53, %aten_mul_tensor_54), kwargs = {}) 2025-06-05T23:27:03.0999976Z %aten_cat_default_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_select_copy_int_169, %aten_select_copy_int_171, %aten_select_copy_int_173, %aten_select_copy_int_175, %aten_select_copy_int_177, %aten_select_copy_int_179, %aten_select_copy_int_181, %aten_select_copy_int_183, %aten_select_copy_int_185, %aten_select_copy_int_187, %aten_select_copy_int_189, %aten_select_copy_int_191],), kwargs = {}) 2025-06-05T23:27:03.1002211Z %aten_unsqueeze_copy_default_36 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_6, 4), kwargs = {}) 2025-06-05T23:27:03.1003544Z %aten_unsqueeze_copy_default_37 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_15, 4), kwargs = {}) 2025-06-05T23:27:03.1004876Z %aten_unsqueeze_copy_default_38 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_7, 4), kwargs = {}) 2025-06-05T23:27:03.1006288Z %aten_unsqueeze_copy_default_39 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_16, 4), kwargs = {}) 2025-06-05T23:27:03.1007614Z %aten_view_copy_default_64 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_15, [1, 12, 128, 64]), kwargs = {}) 2025-06-05T23:27:03.1009025Z %aten_cat_default_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_36, %aten_unsqueeze_copy_default_37], -1), kwargs = {}) 2025-06-05T23:27:03.1010490Z %aten_cat_default_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_38, %aten_unsqueeze_copy_default_39], -1), kwargs = {}) 2025-06-05T23:27:03.1011882Z %aten_view_copy_default_61 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_12, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.1013187Z %aten_view_copy_default_62 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_13, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.1014543Z %aten_permute_copy_default_129 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_61, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1016199Z %aten_index_put_default_6 : [num_users=13] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%b_layers_3_attention_kv_cache_past_k_caches, [None, %aten__to_copy_default_1], %aten_view_copy_default_62), kwargs = {}) 2025-06-05T23:27:03.1017809Z %aten_permute_copy_default_130 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_6, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1019212Z %aten_permute_copy_default_131 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_6, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1020627Z %aten_permute_copy_default_132 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_6, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1022049Z %aten_permute_copy_default_133 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_6, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1023437Z %aten_permute_copy_default_134 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_6, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1024871Z %aten_permute_copy_default_135 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_6, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1026287Z %aten_permute_copy_default_136 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_6, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1027713Z %aten_permute_copy_default_137 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_6, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1029118Z %aten_permute_copy_default_138 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_6, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1030522Z %aten_permute_copy_default_139 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_6, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1032024Z %aten_permute_copy_default_140 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_6, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1033438Z %aten_permute_copy_default_141 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_6, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1034800Z %aten_select_copy_int_144 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_130, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1036090Z %aten_select_copy_int_146 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_131, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1037392Z %aten_select_copy_int_148 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_132, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1038691Z %aten_select_copy_int_150 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_133, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1039976Z %aten_select_copy_int_152 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_134, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1041310Z %aten_select_copy_int_154 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_135, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1042602Z %aten_select_copy_int_156 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_136, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1043887Z %aten_select_copy_int_158 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_137, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1045174Z %aten_select_copy_int_160 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_138, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1046465Z %aten_select_copy_int_162 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_139, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1047748Z %aten_select_copy_int_164 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_140, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1049042Z %aten_select_copy_int_166 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_141, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1050369Z %aten_select_copy_int_145 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_144, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1051649Z %aten_select_copy_int_147 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_146, 0, 1), kwargs = {}) 2025-06-05T23:27:03.1052910Z %aten_select_copy_int_149 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_148, 0, 2), kwargs = {}) 2025-06-05T23:27:03.1054164Z %aten_select_copy_int_151 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_150, 0, 3), kwargs = {}) 2025-06-05T23:27:03.1055444Z %aten_select_copy_int_153 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_152, 0, 4), kwargs = {}) 2025-06-05T23:27:03.1056700Z %aten_select_copy_int_155 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_154, 0, 5), kwargs = {}) 2025-06-05T23:27:03.1057962Z %aten_select_copy_int_157 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_156, 0, 6), kwargs = {}) 2025-06-05T23:27:03.1059209Z %aten_select_copy_int_159 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_158, 0, 7), kwargs = {}) 2025-06-05T23:27:03.1060466Z %aten_select_copy_int_161 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_160, 0, 8), kwargs = {}) 2025-06-05T23:27:03.1061730Z %aten_select_copy_int_163 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_162, 0, 9), kwargs = {}) 2025-06-05T23:27:03.1062987Z %aten_select_copy_int_165 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_164, 0, 10), kwargs = {}) 2025-06-05T23:27:03.1064256Z %aten_select_copy_int_167 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_166, 0, 11), kwargs = {}) 2025-06-05T23:27:03.1066466Z %aten_cat_default_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_select_copy_int_145, %aten_select_copy_int_147, %aten_select_copy_int_149, %aten_select_copy_int_151, %aten_select_copy_int_153, %aten_select_copy_int_155, %aten_select_copy_int_157, %aten_select_copy_int_159, %aten_select_copy_int_161, %aten_select_copy_int_163, %aten_select_copy_int_165, %aten_select_copy_int_167],), kwargs = {}) 2025-06-05T23:27:03.1068781Z %aten_view_copy_default_63 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_14, [1, 12, 128, 64]), kwargs = {}) 2025-06-05T23:27:03.1070155Z %aten_permute_copy_default_154 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_63, [0, 1, 3, 2]), kwargs = {}) 2025-06-05T23:27:03.1071684Z %aten_matmul_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.matmul.default](args = (%aten_permute_copy_default_129, %aten_permute_copy_default_154), kwargs = {}) 2025-06-05T23:27:03.1073385Z %aten_mul_tensor_55 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_matmul_default_6, %quantized_decomposed_dequantize_per_tensor_default_946), kwargs = {}) 2025-06-05T23:27:03.1074879Z %aten_add_tensor_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_55, %aten_index_tensor_5), kwargs = {}) 2025-06-05T23:27:03.1076145Z %aten__softmax_default_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._softmax.default](args = (%aten_add_tensor_17, -1, False), kwargs = {}) 2025-06-05T23:27:03.1077569Z %aten_matmul_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.matmul.default](args = (%aten__softmax_default_3, %aten_view_copy_default_64), kwargs = {}) 2025-06-05T23:27:03.1079228Z %aten_permute_copy_default_155 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_matmul_default_7, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1080610Z %aten_view_copy_default_71 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_permute_copy_default_155, [1, 1, 768]), kwargs = {}) 2025-06-05T23:27:03.1082046Z %aten_unsqueeze_copy_default_40 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_view_copy_default_71, -1), kwargs = {}) 2025-06-05T23:27:03.1083479Z %aten_permute_copy_default_156 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_40, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1085338Z %aten_convolution_default_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_156, %quantized_decomposed_dequantize_per_tensor_default_32, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.1087086Z %aten_permute_copy_default_157 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_24, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1088481Z %aten_squeeze_copy_dims_40 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_157, [-1]), kwargs = {}) 2025-06-05T23:27:03.1089788Z %aten_add_tensor_18 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_14, %aten_squeeze_copy_dims_40), kwargs = {}) 2025-06-05T23:27:03.1091349Z %aten_rms_norm_default_7 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.rms_norm.default](args = (%aten_add_tensor_18, [768], %quantized_decomposed_dequantize_per_tensor_default_33, 9.999999747378752e-06), kwargs = {}) 2025-06-05T23:27:03.1092924Z %aten_unsqueeze_copy_default_41 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_7, -1), kwargs = {}) 2025-06-05T23:27:03.1094305Z %aten_unsqueeze_copy_default_42 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_7, -1), kwargs = {}) 2025-06-05T23:27:03.1095728Z %aten_permute_copy_default_158 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_41, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1097176Z %aten_permute_copy_default_160 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_42, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1098950Z %aten_convolution_default_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_158, %quantized_decomposed_dequantize_per_tensor_default_34, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.1101057Z %aten_convolution_default_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_160, %quantized_decomposed_dequantize_per_tensor_default_35, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.1102833Z %aten_permute_copy_default_159 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_25, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1104271Z %aten_permute_copy_default_161 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_26, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1105666Z %aten_squeeze_copy_dims_41 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_159, [-1]), kwargs = {}) 2025-06-05T23:27:03.1107018Z %aten_squeeze_copy_dims_42 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_161, [-1]), kwargs = {}) 2025-06-05T23:27:03.1108314Z %aten_sigmoid_default_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sigmoid.default](args = (%aten_squeeze_copy_dims_41,), kwargs = {}) 2025-06-05T23:27:03.1109618Z %aten_mul_tensor_58 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_41, %aten_sigmoid_default_3), kwargs = {}) 2025-06-05T23:27:03.1110990Z %aten_mul_tensor_59 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_58, %aten_squeeze_copy_dims_42), kwargs = {}) 2025-06-05T23:27:03.1112315Z %aten_unsqueeze_copy_default_43 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_mul_tensor_59, -1), kwargs = {}) 2025-06-05T23:27:03.1113728Z %aten_permute_copy_default_162 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_43, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1115489Z %aten_convolution_default_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_162, %quantized_decomposed_dequantize_per_tensor_default_36, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.1117279Z %aten_permute_copy_default_163 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_27, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1118670Z %aten_squeeze_copy_dims_43 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_163, [-1]), kwargs = {}) 2025-06-05T23:27:03.1119966Z %aten_add_tensor_19 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_18, %aten_squeeze_copy_dims_43), kwargs = {}) 2025-06-05T23:27:03.1121501Z %aten_rms_norm_default_8 : [num_users=3] = call_function[target=executorch.exir.dialects.edge._ops.aten.rms_norm.default](args = (%aten_add_tensor_19, [768], %quantized_decomposed_dequantize_per_tensor_default_37, 9.999999747378752e-06), kwargs = {}) 2025-06-05T23:27:03.1123081Z %aten_unsqueeze_copy_default_44 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_8, -1), kwargs = {}) 2025-06-05T23:27:03.1124449Z %aten_unsqueeze_copy_default_45 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_8, -1), kwargs = {}) 2025-06-05T23:27:03.1125823Z %aten_unsqueeze_copy_default_46 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_8, -1), kwargs = {}) 2025-06-05T23:27:03.1127276Z %aten_permute_copy_default_164 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_44, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1128748Z %aten_permute_copy_default_166 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_45, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1130204Z %aten_permute_copy_default_168 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_46, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1131974Z %aten_convolution_default_28 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_164, %quantized_decomposed_dequantize_per_tensor_default_38, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.1134060Z %aten_convolution_default_29 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_166, %quantized_decomposed_dequantize_per_tensor_default_39, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.1136127Z %aten_convolution_default_30 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_168, %quantized_decomposed_dequantize_per_tensor_default_40, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.1137886Z %aten_permute_copy_default_165 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_28, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1139321Z %aten_permute_copy_default_167 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_29, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1140749Z %aten_permute_copy_default_169 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_30, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1142129Z %aten_squeeze_copy_dims_44 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_165, [-1]), kwargs = {}) 2025-06-05T23:27:03.1143514Z %aten_squeeze_copy_dims_45 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_167, [-1]), kwargs = {}) 2025-06-05T23:27:03.1144826Z %aten_squeeze_copy_dims_46 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_169, [-1]), kwargs = {}) 2025-06-05T23:27:03.1146172Z %aten_view_copy_default_72 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_44, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.1147528Z %aten_view_copy_default_73 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_45, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.1148867Z %aten_view_copy_default_74 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_46, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.1150232Z %aten_view_copy_default_75 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_72, [1, 1, 12, -1, 2]), kwargs = {}) 2025-06-05T23:27:03.1151717Z %aten_view_copy_default_76 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_73, [1, 1, 12, -1, 2]), kwargs = {}) 2025-06-05T23:27:03.1153302Z %aten_index_put_default_9 : [num_users=13] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%b_layers_4_attention_kv_cache_past_v_caches, [None, %aten__to_copy_default_1], %aten_view_copy_default_74), kwargs = {}) 2025-06-05T23:27:03.1154894Z %aten_slice_copy_tensor_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_75, 4, 0, 1), kwargs = {}) 2025-06-05T23:27:03.1156218Z %aten_slice_copy_tensor_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_75, 4, 1, 2), kwargs = {}) 2025-06-05T23:27:03.1157546Z %aten_slice_copy_tensor_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_76, 4, 0, 1), kwargs = {}) 2025-06-05T23:27:03.1158861Z %aten_slice_copy_tensor_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_76, 4, 1, 2), kwargs = {}) 2025-06-05T23:27:03.1160219Z %aten_permute_copy_default_183 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_9, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1161623Z %aten_permute_copy_default_184 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_9, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1163024Z %aten_permute_copy_default_185 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_9, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1164428Z %aten_permute_copy_default_186 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_9, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1165832Z %aten_permute_copy_default_187 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_9, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1167241Z %aten_permute_copy_default_188 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_9, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1168669Z %aten_permute_copy_default_189 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_9, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1170067Z %aten_permute_copy_default_190 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_9, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1171476Z %aten_permute_copy_default_191 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_9, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1173082Z %aten_permute_copy_default_192 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_9, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1174495Z %aten_permute_copy_default_193 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_9, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1175914Z %aten_permute_copy_default_194 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_9, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1177366Z %aten_squeeze_copy_dims_47 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_16, [4]), kwargs = {}) 2025-06-05T23:27:03.1178701Z %aten_squeeze_copy_dims_48 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_17, [4]), kwargs = {}) 2025-06-05T23:27:03.1180085Z %aten_squeeze_copy_dims_49 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_18, [4]), kwargs = {}) 2025-06-05T23:27:03.1181442Z %aten_squeeze_copy_dims_50 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_19, [4]), kwargs = {}) 2025-06-05T23:27:03.1182725Z %aten_select_copy_int_216 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_183, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1184070Z %aten_select_copy_int_218 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_184, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1185369Z %aten_select_copy_int_220 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_185, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1186724Z %aten_select_copy_int_222 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_186, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1188016Z %aten_select_copy_int_224 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_187, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1189311Z %aten_select_copy_int_226 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_188, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1190588Z %aten_select_copy_int_228 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_189, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1191960Z %aten_select_copy_int_230 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_190, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1193315Z %aten_select_copy_int_232 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_191, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1194606Z %aten_select_copy_int_234 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_192, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1195912Z %aten_select_copy_int_236 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_193, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1197200Z %aten_select_copy_int_238 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_194, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1198506Z %aten_mul_tensor_62 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_47, %aten_view_copy_default_77), kwargs = {}) 2025-06-05T23:27:03.1199853Z %aten_mul_tensor_64 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_47, %aten_view_copy_default_78), kwargs = {}) 2025-06-05T23:27:03.1201192Z %aten_mul_tensor_63 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_48, %aten_view_copy_default_78), kwargs = {}) 2025-06-05T23:27:03.1202562Z %aten_mul_tensor_65 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_48, %aten_view_copy_default_77), kwargs = {}) 2025-06-05T23:27:03.1203925Z %aten_mul_tensor_66 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_49, %aten_view_copy_default_77), kwargs = {}) 2025-06-05T23:27:03.1205263Z %aten_mul_tensor_68 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_49, %aten_view_copy_default_78), kwargs = {}) 2025-06-05T23:27:03.1206580Z %aten_mul_tensor_67 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_50, %aten_view_copy_default_78), kwargs = {}) 2025-06-05T23:27:03.1207946Z %aten_mul_tensor_69 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_50, %aten_view_copy_default_77), kwargs = {}) 2025-06-05T23:27:03.1209245Z %aten_select_copy_int_217 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_216, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1210498Z %aten_select_copy_int_219 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_218, 0, 1), kwargs = {}) 2025-06-05T23:27:03.1211759Z %aten_select_copy_int_221 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_220, 0, 2), kwargs = {}) 2025-06-05T23:27:03.1213004Z %aten_select_copy_int_223 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_222, 0, 3), kwargs = {}) 2025-06-05T23:27:03.1214269Z %aten_select_copy_int_225 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_224, 0, 4), kwargs = {}) 2025-06-05T23:27:03.1215525Z %aten_select_copy_int_227 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_226, 0, 5), kwargs = {}) 2025-06-05T23:27:03.1216773Z %aten_select_copy_int_229 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_228, 0, 6), kwargs = {}) 2025-06-05T23:27:03.1218071Z %aten_select_copy_int_231 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_230, 0, 7), kwargs = {}) 2025-06-05T23:27:03.1219333Z %aten_select_copy_int_233 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_232, 0, 8), kwargs = {}) 2025-06-05T23:27:03.1220591Z %aten_select_copy_int_235 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_234, 0, 9), kwargs = {}) 2025-06-05T23:27:03.1221868Z %aten_select_copy_int_237 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_236, 0, 10), kwargs = {}) 2025-06-05T23:27:03.1223136Z %aten_select_copy_int_239 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_238, 0, 11), kwargs = {}) 2025-06-05T23:27:03.1224379Z %aten_sub_tensor_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_62, %aten_mul_tensor_63), kwargs = {}) 2025-06-05T23:27:03.1225624Z %aten_add_tensor_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_64, %aten_mul_tensor_65), kwargs = {}) 2025-06-05T23:27:03.1226896Z %aten_sub_tensor_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_66, %aten_mul_tensor_67), kwargs = {}) 2025-06-05T23:27:03.1228149Z %aten_add_tensor_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_68, %aten_mul_tensor_69), kwargs = {}) 2025-06-05T23:27:03.1230327Z %aten_cat_default_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_select_copy_int_217, %aten_select_copy_int_219, %aten_select_copy_int_221, %aten_select_copy_int_223, %aten_select_copy_int_225, %aten_select_copy_int_227, %aten_select_copy_int_229, %aten_select_copy_int_231, %aten_select_copy_int_233, %aten_select_copy_int_235, %aten_select_copy_int_237, %aten_select_copy_int_239],), kwargs = {}) 2025-06-05T23:27:03.1232698Z %aten_unsqueeze_copy_default_47 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_8, 4), kwargs = {}) 2025-06-05T23:27:03.1234036Z %aten_unsqueeze_copy_default_48 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_20, 4), kwargs = {}) 2025-06-05T23:27:03.1235362Z %aten_unsqueeze_copy_default_49 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_9, 4), kwargs = {}) 2025-06-05T23:27:03.1236715Z %aten_unsqueeze_copy_default_50 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_21, 4), kwargs = {}) 2025-06-05T23:27:03.1238050Z %aten_view_copy_default_82 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_19, [1, 12, 128, 64]), kwargs = {}) 2025-06-05T23:27:03.1239446Z %aten_cat_default_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_47, %aten_unsqueeze_copy_default_48], -1), kwargs = {}) 2025-06-05T23:27:03.1240925Z %aten_cat_default_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_49, %aten_unsqueeze_copy_default_50], -1), kwargs = {}) 2025-06-05T23:27:03.1242318Z %aten_view_copy_default_79 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_16, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.1243666Z %aten_view_copy_default_80 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_17, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.1245043Z %aten_permute_copy_default_170 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_79, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1246663Z %aten_index_put_default_8 : [num_users=13] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%b_layers_4_attention_kv_cache_past_k_caches, [None, %aten__to_copy_default_1], %aten_view_copy_default_80), kwargs = {}) 2025-06-05T23:27:03.1248266Z %aten_permute_copy_default_171 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_8, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1249683Z %aten_permute_copy_default_172 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_8, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1251106Z %aten_permute_copy_default_173 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_8, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1252536Z %aten_permute_copy_default_174 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_8, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1253972Z %aten_permute_copy_default_175 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_8, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1255383Z %aten_permute_copy_default_176 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_8, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1256777Z %aten_permute_copy_default_177 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_8, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1258210Z %aten_permute_copy_default_178 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_8, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1259618Z %aten_permute_copy_default_179 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_8, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1261015Z %aten_permute_copy_default_180 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_8, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1262425Z %aten_permute_copy_default_181 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_8, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1263826Z %aten_permute_copy_default_182 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_8, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1265168Z %aten_select_copy_int_192 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_171, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1266464Z %aten_select_copy_int_194 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_172, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1267780Z %aten_select_copy_int_196 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_173, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1269059Z %aten_select_copy_int_198 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_174, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1270349Z %aten_select_copy_int_200 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_175, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1271858Z %aten_select_copy_int_202 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_176, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1273359Z %aten_select_copy_int_204 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_177, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1274655Z %aten_select_copy_int_206 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_178, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1275949Z %aten_select_copy_int_208 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_179, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1277308Z %aten_select_copy_int_210 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_180, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1278642Z %aten_select_copy_int_212 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_181, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1279938Z %aten_select_copy_int_214 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_182, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1281212Z %aten_select_copy_int_193 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_192, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1282773Z %aten_select_copy_int_195 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_194, 0, 1), kwargs = {}) 2025-06-05T23:27:03.1284102Z %aten_select_copy_int_197 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_196, 0, 2), kwargs = {}) 2025-06-05T23:27:03.1285366Z %aten_select_copy_int_199 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_198, 0, 3), kwargs = {}) 2025-06-05T23:27:03.1286634Z %aten_select_copy_int_201 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_200, 0, 4), kwargs = {}) 2025-06-05T23:27:03.1287962Z %aten_select_copy_int_203 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_202, 0, 5), kwargs = {}) 2025-06-05T23:27:03.1289225Z %aten_select_copy_int_205 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_204, 0, 6), kwargs = {}) 2025-06-05T23:27:03.1290484Z %aten_select_copy_int_207 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_206, 0, 7), kwargs = {}) 2025-06-05T23:27:03.1291730Z %aten_select_copy_int_209 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_208, 0, 8), kwargs = {}) 2025-06-05T23:27:03.1293041Z %aten_select_copy_int_211 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_210, 0, 9), kwargs = {}) 2025-06-05T23:27:03.1294301Z %aten_select_copy_int_213 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_212, 0, 10), kwargs = {}) 2025-06-05T23:27:03.1295554Z %aten_select_copy_int_215 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_214, 0, 11), kwargs = {}) 2025-06-05T23:27:03.1297726Z %aten_cat_default_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_select_copy_int_193, %aten_select_copy_int_195, %aten_select_copy_int_197, %aten_select_copy_int_199, %aten_select_copy_int_201, %aten_select_copy_int_203, %aten_select_copy_int_205, %aten_select_copy_int_207, %aten_select_copy_int_209, %aten_select_copy_int_211, %aten_select_copy_int_213, %aten_select_copy_int_215],), kwargs = {}) 2025-06-05T23:27:03.1299932Z %aten_view_copy_default_81 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_18, [1, 12, 128, 64]), kwargs = {}) 2025-06-05T23:27:03.1301302Z %aten_permute_copy_default_195 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_81, [0, 1, 3, 2]), kwargs = {}) 2025-06-05T23:27:03.1302787Z %aten_matmul_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.matmul.default](args = (%aten_permute_copy_default_170, %aten_permute_copy_default_195), kwargs = {}) 2025-06-05T23:27:03.1304353Z %aten_mul_tensor_70 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_matmul_default_8, %quantized_decomposed_dequantize_per_tensor_default_1148), kwargs = {}) 2025-06-05T23:27:03.1305756Z %aten_add_tensor_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_70, %aten_index_tensor_6), kwargs = {}) 2025-06-05T23:27:03.1307015Z %aten__softmax_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._softmax.default](args = (%aten_add_tensor_22, -1, False), kwargs = {}) 2025-06-05T23:27:03.1308399Z %aten_matmul_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.matmul.default](args = (%aten__softmax_default_4, %aten_view_copy_default_82), kwargs = {}) 2025-06-05T23:27:03.1309804Z %aten_permute_copy_default_196 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_matmul_default_9, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1311252Z %aten_view_copy_default_89 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_permute_copy_default_196, [1, 1, 768]), kwargs = {}) 2025-06-05T23:27:03.1312638Z %aten_unsqueeze_copy_default_51 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_view_copy_default_89, -1), kwargs = {}) 2025-06-05T23:27:03.1314069Z %aten_permute_copy_default_197 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_51, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1315838Z %aten_convolution_default_31 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_197, %quantized_decomposed_dequantize_per_tensor_default_41, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.1317602Z %aten_permute_copy_default_198 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_31, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1319026Z %aten_squeeze_copy_dims_51 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_198, [-1]), kwargs = {}) 2025-06-05T23:27:03.1320321Z %aten_add_tensor_23 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_19, %aten_squeeze_copy_dims_51), kwargs = {}) 2025-06-05T23:27:03.1321853Z %aten_rms_norm_default_9 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.rms_norm.default](args = (%aten_add_tensor_23, [768], %quantized_decomposed_dequantize_per_tensor_default_42, 9.999999747378752e-06), kwargs = {}) 2025-06-05T23:27:03.1323431Z %aten_unsqueeze_copy_default_52 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_9, -1), kwargs = {}) 2025-06-05T23:27:03.1324794Z %aten_unsqueeze_copy_default_53 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_9, -1), kwargs = {}) 2025-06-05T23:27:03.1326220Z %aten_permute_copy_default_199 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_52, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1327720Z %aten_permute_copy_default_201 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_53, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1329535Z %aten_convolution_default_32 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_199, %quantized_decomposed_dequantize_per_tensor_default_43, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.1331609Z %aten_convolution_default_33 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_201, %quantized_decomposed_dequantize_per_tensor_default_44, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.1333367Z %aten_permute_copy_default_200 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_32, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1334840Z %aten_permute_copy_default_202 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_33, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1336217Z %aten_squeeze_copy_dims_52 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_200, [-1]), kwargs = {}) 2025-06-05T23:27:03.1337549Z %aten_squeeze_copy_dims_53 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_202, [-1]), kwargs = {}) 2025-06-05T23:27:03.1338840Z %aten_sigmoid_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sigmoid.default](args = (%aten_squeeze_copy_dims_52,), kwargs = {}) 2025-06-05T23:27:03.1340121Z %aten_mul_tensor_73 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_52, %aten_sigmoid_default_4), kwargs = {}) 2025-06-05T23:27:03.1341422Z %aten_mul_tensor_74 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_73, %aten_squeeze_copy_dims_53), kwargs = {}) 2025-06-05T23:27:03.1342726Z %aten_unsqueeze_copy_default_54 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_mul_tensor_74, -1), kwargs = {}) 2025-06-05T23:27:03.1344150Z %aten_permute_copy_default_203 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_54, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1345916Z %aten_convolution_default_34 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_203, %quantized_decomposed_dequantize_per_tensor_default_45, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.1347667Z %aten_permute_copy_default_204 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_34, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1349037Z %aten_squeeze_copy_dims_54 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_204, [-1]), kwargs = {}) 2025-06-05T23:27:03.1350339Z %aten_add_tensor_24 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_23, %aten_squeeze_copy_dims_54), kwargs = {}) 2025-06-05T23:27:03.1351918Z %aten_rms_norm_default_10 : [num_users=3] = call_function[target=executorch.exir.dialects.edge._ops.aten.rms_norm.default](args = (%aten_add_tensor_24, [768], %quantized_decomposed_dequantize_per_tensor_default_46, 9.999999747378752e-06), kwargs = {}) 2025-06-05T23:27:03.1353531Z %aten_unsqueeze_copy_default_55 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_10, -1), kwargs = {}) 2025-06-05T23:27:03.1354937Z %aten_unsqueeze_copy_default_56 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_10, -1), kwargs = {}) 2025-06-05T23:27:03.1356322Z %aten_unsqueeze_copy_default_57 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_10, -1), kwargs = {}) 2025-06-05T23:27:03.1357734Z %aten_permute_copy_default_205 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_55, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1359225Z %aten_permute_copy_default_207 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_56, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1360679Z %aten_permute_copy_default_209 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_57, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1362435Z %aten_convolution_default_35 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_205, %quantized_decomposed_dequantize_per_tensor_default_47, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.1364506Z %aten_convolution_default_36 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_207, %quantized_decomposed_dequantize_per_tensor_default_48, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.1366570Z %aten_convolution_default_37 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_209, %quantized_decomposed_dequantize_per_tensor_default_49, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.1379648Z %aten_permute_copy_default_206 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_35, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1381278Z %aten_permute_copy_default_208 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_36, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1382722Z %aten_permute_copy_default_210 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_37, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1384266Z %aten_squeeze_copy_dims_55 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_206, [-1]), kwargs = {}) 2025-06-05T23:27:03.1385607Z %aten_squeeze_copy_dims_56 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_208, [-1]), kwargs = {}) 2025-06-05T23:27:03.1386932Z %aten_squeeze_copy_dims_57 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_210, [-1]), kwargs = {}) 2025-06-05T23:27:03.1388257Z %aten_view_copy_default_90 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_55, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.1389613Z %aten_view_copy_default_91 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_56, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.1391148Z %aten_view_copy_default_92 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_57, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.1392551Z %aten_view_copy_default_93 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_90, [1, 1, 12, -1, 2]), kwargs = {}) 2025-06-05T23:27:03.1393927Z %aten_view_copy_default_94 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_91, [1, 1, 12, -1, 2]), kwargs = {}) 2025-06-05T23:27:03.1395521Z %aten_index_put_default_11 : [num_users=13] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%b_layers_5_attention_kv_cache_past_v_caches, [None, %aten__to_copy_default_1], %aten_view_copy_default_92), kwargs = {}) 2025-06-05T23:27:03.1397136Z %aten_slice_copy_tensor_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_93, 4, 0, 1), kwargs = {}) 2025-06-05T23:27:03.1398463Z %aten_slice_copy_tensor_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_93, 4, 1, 2), kwargs = {}) 2025-06-05T23:27:03.1399783Z %aten_slice_copy_tensor_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_94, 4, 0, 1), kwargs = {}) 2025-06-05T23:27:03.1401090Z %aten_slice_copy_tensor_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_94, 4, 1, 2), kwargs = {}) 2025-06-05T23:27:03.1402465Z %aten_permute_copy_default_224 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_11, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1403886Z %aten_permute_copy_default_225 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_11, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1405290Z %aten_permute_copy_default_226 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_11, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1406731Z %aten_permute_copy_default_227 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_11, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1408148Z %aten_permute_copy_default_228 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_11, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1409561Z %aten_permute_copy_default_229 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_11, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1410981Z %aten_permute_copy_default_230 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_11, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1412397Z %aten_permute_copy_default_231 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_11, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1413794Z %aten_permute_copy_default_232 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_11, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1415232Z %aten_permute_copy_default_233 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_11, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1416646Z %aten_permute_copy_default_234 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_11, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1418147Z %aten_permute_copy_default_235 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_11, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1419517Z %aten_squeeze_copy_dims_58 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_20, [4]), kwargs = {}) 2025-06-05T23:27:03.1420821Z %aten_squeeze_copy_dims_59 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_21, [4]), kwargs = {}) 2025-06-05T23:27:03.1422139Z %aten_squeeze_copy_dims_60 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_22, [4]), kwargs = {}) 2025-06-05T23:27:03.1423438Z %aten_squeeze_copy_dims_61 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_23, [4]), kwargs = {}) 2025-06-05T23:27:03.1424727Z %aten_select_copy_int_264 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_224, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1426007Z %aten_select_copy_int_266 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_225, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1427300Z %aten_select_copy_int_268 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_226, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1428602Z %aten_select_copy_int_270 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_227, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1429886Z %aten_select_copy_int_272 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_228, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1431298Z %aten_select_copy_int_274 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_229, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1432593Z %aten_select_copy_int_276 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_230, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1433872Z %aten_select_copy_int_278 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_231, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1435158Z %aten_select_copy_int_280 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_232, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1436453Z %aten_select_copy_int_282 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_233, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1437734Z %aten_select_copy_int_284 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_234, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1439027Z %aten_select_copy_int_286 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_235, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1440375Z %aten_mul_tensor_77 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_58, %aten_view_copy_default_95), kwargs = {}) 2025-06-05T23:27:03.1441749Z %aten_mul_tensor_79 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_58, %aten_view_copy_default_96), kwargs = {}) 2025-06-05T23:27:03.1443097Z %aten_mul_tensor_78 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_59, %aten_view_copy_default_96), kwargs = {}) 2025-06-05T23:27:03.1444435Z %aten_mul_tensor_80 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_59, %aten_view_copy_default_95), kwargs = {}) 2025-06-05T23:27:03.1445755Z %aten_mul_tensor_81 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_60, %aten_view_copy_default_95), kwargs = {}) 2025-06-05T23:27:03.1447886Z %aten_mul_tensor_83 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_60, %aten_view_copy_default_96), kwargs = {}) 2025-06-05T23:27:03.1449222Z %aten_mul_tensor_82 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_61, %aten_view_copy_default_96), kwargs = {}) 2025-06-05T23:27:03.1450552Z %aten_mul_tensor_84 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_61, %aten_view_copy_default_95), kwargs = {}) 2025-06-05T23:27:03.1451850Z %aten_select_copy_int_265 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_264, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1453125Z %aten_select_copy_int_267 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_266, 0, 1), kwargs = {}) 2025-06-05T23:27:03.1454377Z %aten_select_copy_int_269 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_268, 0, 2), kwargs = {}) 2025-06-05T23:27:03.1455643Z %aten_select_copy_int_271 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_270, 0, 3), kwargs = {}) 2025-06-05T23:27:03.1456938Z %aten_select_copy_int_273 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_272, 0, 4), kwargs = {}) 2025-06-05T23:27:03.1458193Z %aten_select_copy_int_275 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_274, 0, 5), kwargs = {}) 2025-06-05T23:27:03.1459461Z %aten_select_copy_int_277 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_276, 0, 6), kwargs = {}) 2025-06-05T23:27:03.1460734Z %aten_select_copy_int_279 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_278, 0, 7), kwargs = {}) 2025-06-05T23:27:03.1461986Z %aten_select_copy_int_281 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_280, 0, 8), kwargs = {}) 2025-06-05T23:27:03.1463251Z %aten_select_copy_int_283 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_282, 0, 9), kwargs = {}) 2025-06-05T23:27:03.1464522Z %aten_select_copy_int_285 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_284, 0, 10), kwargs = {}) 2025-06-05T23:27:03.1465806Z %aten_select_copy_int_287 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_286, 0, 11), kwargs = {}) 2025-06-05T23:27:03.1467110Z %aten_sub_tensor_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_77, %aten_mul_tensor_78), kwargs = {}) 2025-06-05T23:27:03.1468328Z %aten_add_tensor_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_79, %aten_mul_tensor_80), kwargs = {}) 2025-06-05T23:27:03.1469562Z %aten_sub_tensor_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_81, %aten_mul_tensor_82), kwargs = {}) 2025-06-05T23:27:03.1470795Z %aten_add_tensor_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_83, %aten_mul_tensor_84), kwargs = {}) 2025-06-05T23:27:03.1473286Z %aten_cat_default_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_select_copy_int_265, %aten_select_copy_int_267, %aten_select_copy_int_269, %aten_select_copy_int_271, %aten_select_copy_int_273, %aten_select_copy_int_275, %aten_select_copy_int_277, %aten_select_copy_int_279, %aten_select_copy_int_281, %aten_select_copy_int_283, %aten_select_copy_int_285, %aten_select_copy_int_287],), kwargs = {}) 2025-06-05T23:27:03.1475601Z %aten_unsqueeze_copy_default_58 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_10, 4), kwargs = {}) 2025-06-05T23:27:03.1476954Z %aten_unsqueeze_copy_default_59 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_25, 4), kwargs = {}) 2025-06-05T23:27:03.1478303Z %aten_unsqueeze_copy_default_60 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_11, 4), kwargs = {}) 2025-06-05T23:27:03.1479626Z %aten_unsqueeze_copy_default_61 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_26, 4), kwargs = {}) 2025-06-05T23:27:03.1480964Z %aten_view_copy_default_100 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_23, [1, 12, 128, 64]), kwargs = {}) 2025-06-05T23:27:03.1482461Z %aten_cat_default_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_58, %aten_unsqueeze_copy_default_59], -1), kwargs = {}) 2025-06-05T23:27:03.1483932Z %aten_cat_default_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_60, %aten_unsqueeze_copy_default_61], -1), kwargs = {}) 2025-06-05T23:27:03.1485431Z %aten_view_copy_default_97 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_20, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.1486978Z %aten_view_copy_default_98 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_21, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.1488331Z %aten_permute_copy_default_211 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_97, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1489947Z %aten_index_put_default_10 : [num_users=13] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%b_layers_5_attention_kv_cache_past_k_caches, [None, %aten__to_copy_default_1], %aten_view_copy_default_98), kwargs = {}) 2025-06-05T23:27:03.1491645Z %aten_permute_copy_default_212 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_10, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1493092Z %aten_permute_copy_default_213 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_10, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1494507Z %aten_permute_copy_default_214 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_10, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1495916Z %aten_permute_copy_default_215 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_10, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1497362Z %aten_permute_copy_default_216 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_10, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1498776Z %aten_permute_copy_default_217 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_10, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1500194Z %aten_permute_copy_default_218 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_10, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1501598Z %aten_permute_copy_default_219 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_10, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1503015Z %aten_permute_copy_default_220 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_10, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1504430Z %aten_permute_copy_default_221 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_10, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1505832Z %aten_permute_copy_default_222 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_10, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1507276Z %aten_permute_copy_default_223 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_10, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1508633Z %aten_select_copy_int_240 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_212, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1509925Z %aten_select_copy_int_242 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_213, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1511302Z %aten_select_copy_int_244 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_214, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1512607Z %aten_select_copy_int_246 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_215, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1513891Z %aten_select_copy_int_248 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_216, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1515183Z %aten_select_copy_int_250 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_217, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1516513Z %aten_select_copy_int_252 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_218, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1517826Z %aten_select_copy_int_254 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_219, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1519119Z %aten_select_copy_int_256 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_220, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1520417Z %aten_select_copy_int_258 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_221, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1521699Z %aten_select_copy_int_260 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_222, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1523028Z %aten_select_copy_int_262 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_223, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1524310Z %aten_select_copy_int_241 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_240, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1525567Z %aten_select_copy_int_243 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_242, 0, 1), kwargs = {}) 2025-06-05T23:27:03.1526832Z %aten_select_copy_int_245 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_244, 0, 2), kwargs = {}) 2025-06-05T23:27:03.1528096Z %aten_select_copy_int_247 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_246, 0, 3), kwargs = {}) 2025-06-05T23:27:03.1529343Z %aten_select_copy_int_249 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_248, 0, 4), kwargs = {}) 2025-06-05T23:27:03.1530606Z %aten_select_copy_int_251 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_250, 0, 5), kwargs = {}) 2025-06-05T23:27:03.1531893Z %aten_select_copy_int_253 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_252, 0, 6), kwargs = {}) 2025-06-05T23:27:03.1533139Z %aten_select_copy_int_255 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_254, 0, 7), kwargs = {}) 2025-06-05T23:27:03.1534408Z %aten_select_copy_int_257 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_256, 0, 8), kwargs = {}) 2025-06-05T23:27:03.1535673Z %aten_select_copy_int_259 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_258, 0, 9), kwargs = {}) 2025-06-05T23:27:03.1536927Z %aten_select_copy_int_261 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_260, 0, 10), kwargs = {}) 2025-06-05T23:27:03.1538196Z %aten_select_copy_int_263 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_262, 0, 11), kwargs = {}) 2025-06-05T23:27:03.1540410Z %aten_cat_default_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_select_copy_int_241, %aten_select_copy_int_243, %aten_select_copy_int_245, %aten_select_copy_int_247, %aten_select_copy_int_249, %aten_select_copy_int_251, %aten_select_copy_int_253, %aten_select_copy_int_255, %aten_select_copy_int_257, %aten_select_copy_int_259, %aten_select_copy_int_261, %aten_select_copy_int_263],), kwargs = {}) 2025-06-05T23:27:03.1542623Z %aten_view_copy_default_99 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_22, [1, 12, 128, 64]), kwargs = {}) 2025-06-05T23:27:03.1543996Z %aten_permute_copy_default_236 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_99, [0, 1, 3, 2]), kwargs = {}) 2025-06-05T23:27:03.1545447Z %aten_matmul_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.matmul.default](args = (%aten_permute_copy_default_211, %aten_permute_copy_default_236), kwargs = {}) 2025-06-05T23:27:03.1546996Z %aten_mul_tensor_85 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_matmul_default_10, %quantized_decomposed_dequantize_per_tensor_default_1350), kwargs = {}) 2025-06-05T23:27:03.1548406Z %aten_add_tensor_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_85, %aten_index_tensor_7), kwargs = {}) 2025-06-05T23:27:03.1549684Z %aten__softmax_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._softmax.default](args = (%aten_add_tensor_27, -1, False), kwargs = {}) 2025-06-05T23:27:03.1551107Z %aten_matmul_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.matmul.default](args = (%aten__softmax_default_5, %aten_view_copy_default_100), kwargs = {}) 2025-06-05T23:27:03.1552517Z %aten_permute_copy_default_237 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_matmul_default_11, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1553903Z %aten_view_copy_default_107 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_permute_copy_default_237, [1, 1, 768]), kwargs = {}) 2025-06-05T23:27:03.1555280Z %aten_unsqueeze_copy_default_62 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_view_copy_default_107, -1), kwargs = {}) 2025-06-05T23:27:03.1556758Z %aten_permute_copy_default_238 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_62, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1558534Z %aten_convolution_default_38 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_238, %quantized_decomposed_dequantize_per_tensor_default_50, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.1560292Z %aten_permute_copy_default_239 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_38, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1561680Z %aten_squeeze_copy_dims_62 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_239, [-1]), kwargs = {}) 2025-06-05T23:27:03.1562982Z %aten_add_tensor_28 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_24, %aten_squeeze_copy_dims_62), kwargs = {}) 2025-06-05T23:27:03.1564507Z %aten_rms_norm_default_11 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.rms_norm.default](args = (%aten_add_tensor_28, [768], %quantized_decomposed_dequantize_per_tensor_default_51, 9.999999747378752e-06), kwargs = {}) 2025-06-05T23:27:03.1566136Z %aten_unsqueeze_copy_default_63 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_11, -1), kwargs = {}) 2025-06-05T23:27:03.1567525Z %aten_unsqueeze_copy_default_64 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_11, -1), kwargs = {}) 2025-06-05T23:27:03.1568977Z %aten_permute_copy_default_240 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_63, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1570427Z %aten_permute_copy_default_242 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_64, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1572204Z %aten_convolution_default_39 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_240, %quantized_decomposed_dequantize_per_tensor_default_52, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.1574519Z %aten_convolution_default_40 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_242, %quantized_decomposed_dequantize_per_tensor_default_53, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.1576269Z %aten_permute_copy_default_241 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_39, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1577710Z %aten_permute_copy_default_243 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_40, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1579102Z %aten_squeeze_copy_dims_63 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_241, [-1]), kwargs = {}) 2025-06-05T23:27:03.1580414Z %aten_squeeze_copy_dims_64 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_243, [-1]), kwargs = {}) 2025-06-05T23:27:03.1581715Z %aten_sigmoid_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sigmoid.default](args = (%aten_squeeze_copy_dims_63,), kwargs = {}) 2025-06-05T23:27:03.1583087Z %aten_mul_tensor_88 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_63, %aten_sigmoid_default_5), kwargs = {}) 2025-06-05T23:27:03.1584380Z %aten_mul_tensor_89 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_88, %aten_squeeze_copy_dims_64), kwargs = {}) 2025-06-05T23:27:03.1585706Z %aten_unsqueeze_copy_default_65 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_mul_tensor_89, -1), kwargs = {}) 2025-06-05T23:27:03.1587108Z %aten_permute_copy_default_244 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_65, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1588957Z %aten_convolution_default_41 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_244, %quantized_decomposed_dequantize_per_tensor_default_54, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.1590715Z %aten_permute_copy_default_245 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_41, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1592234Z %aten_squeeze_copy_dims_65 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_245, [-1]), kwargs = {}) 2025-06-05T23:27:03.1593524Z %aten_add_tensor_29 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_28, %aten_squeeze_copy_dims_65), kwargs = {}) 2025-06-05T23:27:03.1595099Z %aten_rms_norm_default_12 : [num_users=3] = call_function[target=executorch.exir.dialects.edge._ops.aten.rms_norm.default](args = (%aten_add_tensor_29, [768], %quantized_decomposed_dequantize_per_tensor_default_55, 9.999999747378752e-06), kwargs = {}) 2025-06-05T23:27:03.1596685Z %aten_unsqueeze_copy_default_66 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_12, -1), kwargs = {}) 2025-06-05T23:27:03.1598108Z %aten_unsqueeze_copy_default_67 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_12, -1), kwargs = {}) 2025-06-05T23:27:03.1599491Z %aten_unsqueeze_copy_default_68 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_12, -1), kwargs = {}) 2025-06-05T23:27:03.1600917Z %aten_permute_copy_default_246 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_66, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1602366Z %aten_permute_copy_default_248 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_67, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1603827Z %aten_permute_copy_default_250 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_68, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1605597Z %aten_convolution_default_42 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_246, %quantized_decomposed_dequantize_per_tensor_default_56, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.1607689Z %aten_convolution_default_43 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_248, %quantized_decomposed_dequantize_per_tensor_default_57, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.1609777Z %aten_convolution_default_44 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_250, %quantized_decomposed_dequantize_per_tensor_default_58, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.1611530Z %aten_permute_copy_default_247 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_42, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1612965Z %aten_permute_copy_default_249 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_43, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1614384Z %aten_permute_copy_default_251 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_44, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1615766Z %aten_squeeze_copy_dims_66 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_247, [-1]), kwargs = {}) 2025-06-05T23:27:03.1617089Z %aten_squeeze_copy_dims_67 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_249, [-1]), kwargs = {}) 2025-06-05T23:27:03.1618431Z %aten_squeeze_copy_dims_68 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_251, [-1]), kwargs = {}) 2025-06-05T23:27:03.1619793Z %aten_view_copy_default_108 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_66, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.1621154Z %aten_view_copy_default_109 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_67, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.1622503Z %aten_view_copy_default_110 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_68, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.1623906Z %aten_view_copy_default_111 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_108, [1, 1, 12, -1, 2]), kwargs = {}) 2025-06-05T23:27:03.1625289Z %aten_view_copy_default_112 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_109, [1, 1, 12, -1, 2]), kwargs = {}) 2025-06-05T23:27:03.1626884Z %aten_index_put_default_13 : [num_users=13] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%b_layers_6_attention_kv_cache_past_v_caches, [None, %aten__to_copy_default_1], %aten_view_copy_default_110), kwargs = {}) 2025-06-05T23:27:03.1628455Z %aten_slice_copy_tensor_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_111, 4, 0, 1), kwargs = {}) 2025-06-05T23:27:03.1629781Z %aten_slice_copy_tensor_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_111, 4, 1, 2), kwargs = {}) 2025-06-05T23:27:03.1631154Z %aten_slice_copy_tensor_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_112, 4, 0, 1), kwargs = {}) 2025-06-05T23:27:03.1632468Z %aten_slice_copy_tensor_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_112, 4, 1, 2), kwargs = {}) 2025-06-05T23:27:03.1633878Z %aten_permute_copy_default_265 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_13, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1635274Z %aten_permute_copy_default_266 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_13, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1636689Z %aten_permute_copy_default_267 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_13, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1638112Z %aten_permute_copy_default_268 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_13, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1639515Z %aten_permute_copy_default_269 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_13, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1640931Z %aten_permute_copy_default_270 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_13, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1642339Z %aten_permute_copy_default_271 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_13, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1643767Z %aten_permute_copy_default_272 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_13, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1645208Z %aten_permute_copy_default_273 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_13, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1646644Z %aten_permute_copy_default_274 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_13, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1648051Z %aten_permute_copy_default_275 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_13, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1649497Z %aten_permute_copy_default_276 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_13, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1650861Z %aten_squeeze_copy_dims_69 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_24, [4]), kwargs = {}) 2025-06-05T23:27:03.1652152Z %aten_squeeze_copy_dims_70 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_25, [4]), kwargs = {}) 2025-06-05T23:27:03.1653451Z %aten_squeeze_copy_dims_71 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_26, [4]), kwargs = {}) 2025-06-05T23:27:03.1654759Z %aten_squeeze_copy_dims_72 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_27, [4]), kwargs = {}) 2025-06-05T23:27:03.1656042Z %aten_select_copy_int_312 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_265, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1657346Z %aten_select_copy_int_314 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_266, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1658882Z %aten_select_copy_int_316 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_267, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1660173Z %aten_select_copy_int_318 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_268, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1661480Z %aten_select_copy_int_320 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_269, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1662777Z %aten_select_copy_int_322 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_270, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1664064Z %aten_select_copy_int_324 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_271, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1665363Z %aten_select_copy_int_326 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_272, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1666658Z %aten_select_copy_int_328 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_273, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1667972Z %aten_select_copy_int_330 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_274, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1669294Z %aten_select_copy_int_332 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_275, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1670575Z %aten_select_copy_int_334 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_276, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1671991Z %aten_mul_tensor_92 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_69, %aten_view_copy_default_113), kwargs = {}) 2025-06-05T23:27:03.1673571Z %aten_mul_tensor_94 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_69, %aten_view_copy_default_114), kwargs = {}) 2025-06-05T23:27:03.1674984Z %aten_mul_tensor_93 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_70, %aten_view_copy_default_114), kwargs = {}) 2025-06-05T23:27:03.1676330Z %aten_mul_tensor_95 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_70, %aten_view_copy_default_113), kwargs = {}) 2025-06-05T23:27:03.1677675Z %aten_mul_tensor_96 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_71, %aten_view_copy_default_113), kwargs = {}) 2025-06-05T23:27:03.1679052Z %aten_mul_tensor_98 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_71, %aten_view_copy_default_114), kwargs = {}) 2025-06-05T23:27:03.1680431Z %aten_mul_tensor_97 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_72, %aten_view_copy_default_114), kwargs = {}) 2025-06-05T23:27:03.1681777Z %aten_mul_tensor_99 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_72, %aten_view_copy_default_113), kwargs = {}) 2025-06-05T23:27:03.1683074Z %aten_select_copy_int_313 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_312, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1684396Z %aten_select_copy_int_315 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_314, 0, 1), kwargs = {}) 2025-06-05T23:27:03.1685712Z %aten_select_copy_int_317 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_316, 0, 2), kwargs = {}) 2025-06-05T23:27:03.1687046Z %aten_select_copy_int_319 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_318, 0, 3), kwargs = {}) 2025-06-05T23:27:03.1688313Z %aten_select_copy_int_321 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_320, 0, 4), kwargs = {}) 2025-06-05T23:27:03.1689598Z %aten_select_copy_int_323 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_322, 0, 5), kwargs = {}) 2025-06-05T23:27:03.1691217Z %aten_select_copy_int_325 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_324, 0, 6), kwargs = {}) 2025-06-05T23:27:03.1692491Z %aten_select_copy_int_327 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_326, 0, 7), kwargs = {}) 2025-06-05T23:27:03.1693842Z %aten_select_copy_int_329 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_328, 0, 8), kwargs = {}) 2025-06-05T23:27:03.1695148Z %aten_select_copy_int_331 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_330, 0, 9), kwargs = {}) 2025-06-05T23:27:03.1696418Z %aten_select_copy_int_333 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_332, 0, 10), kwargs = {}) 2025-06-05T23:27:03.1697706Z %aten_select_copy_int_335 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_334, 0, 11), kwargs = {}) 2025-06-05T23:27:03.1698953Z %aten_sub_tensor_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_92, %aten_mul_tensor_93), kwargs = {}) 2025-06-05T23:27:03.1700244Z %aten_add_tensor_30 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_94, %aten_mul_tensor_95), kwargs = {}) 2025-06-05T23:27:03.1701492Z %aten_sub_tensor_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_96, %aten_mul_tensor_97), kwargs = {}) 2025-06-05T23:27:03.1702728Z %aten_add_tensor_31 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_98, %aten_mul_tensor_99), kwargs = {}) 2025-06-05T23:27:03.1704897Z %aten_cat_default_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_select_copy_int_313, %aten_select_copy_int_315, %aten_select_copy_int_317, %aten_select_copy_int_319, %aten_select_copy_int_321, %aten_select_copy_int_323, %aten_select_copy_int_325, %aten_select_copy_int_327, %aten_select_copy_int_329, %aten_select_copy_int_331, %aten_select_copy_int_333, %aten_select_copy_int_335],), kwargs = {}) 2025-06-05T23:27:03.1707127Z %aten_unsqueeze_copy_default_69 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_12, 4), kwargs = {}) 2025-06-05T23:27:03.1708471Z %aten_unsqueeze_copy_default_70 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_30, 4), kwargs = {}) 2025-06-05T23:27:03.1709866Z %aten_unsqueeze_copy_default_71 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_13, 4), kwargs = {}) 2025-06-05T23:27:03.1711297Z %aten_unsqueeze_copy_default_72 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_31, 4), kwargs = {}) 2025-06-05T23:27:03.1712638Z %aten_view_copy_default_118 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_27, [1, 12, 128, 64]), kwargs = {}) 2025-06-05T23:27:03.1714066Z %aten_cat_default_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_69, %aten_unsqueeze_copy_default_70], -1), kwargs = {}) 2025-06-05T23:27:03.1715551Z %aten_cat_default_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_71, %aten_unsqueeze_copy_default_72], -1), kwargs = {}) 2025-06-05T23:27:03.1716947Z %aten_view_copy_default_115 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_24, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.1718329Z %aten_view_copy_default_116 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_25, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.1719722Z %aten_permute_copy_default_252 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_115, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1721393Z %aten_index_put_default_12 : [num_users=13] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%b_layers_6_attention_kv_cache_past_k_caches, [None, %aten__to_copy_default_1], %aten_view_copy_default_116), kwargs = {}) 2025-06-05T23:27:03.1723012Z %aten_permute_copy_default_253 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_12, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1724489Z %aten_permute_copy_default_254 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_12, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1725911Z %aten_permute_copy_default_255 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_12, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1727319Z %aten_permute_copy_default_256 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_12, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1728737Z %aten_permute_copy_default_257 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_12, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1730153Z %aten_permute_copy_default_258 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_12, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1731560Z %aten_permute_copy_default_259 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_12, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1732972Z %aten_permute_copy_default_260 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_12, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1734426Z %aten_permute_copy_default_261 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_12, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1735842Z %aten_permute_copy_default_262 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_12, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1737263Z %aten_permute_copy_default_263 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_12, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1738677Z %aten_permute_copy_default_264 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_12, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1740020Z %aten_select_copy_int_288 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_253, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1741324Z %aten_select_copy_int_290 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_254, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1742623Z %aten_select_copy_int_292 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_255, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1743963Z %aten_select_copy_int_294 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_256, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1745292Z %aten_select_copy_int_296 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_257, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1746594Z %aten_select_copy_int_298 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_258, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1747880Z %aten_select_copy_int_300 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_259, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1749178Z %aten_select_copy_int_302 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_260, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1750533Z %aten_select_copy_int_304 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_261, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1751902Z %aten_select_copy_int_306 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_262, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1753210Z %aten_select_copy_int_308 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_263, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1754506Z %aten_select_copy_int_310 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_264, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1755776Z %aten_select_copy_int_289 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_288, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1757047Z %aten_select_copy_int_291 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_290, 0, 1), kwargs = {}) 2025-06-05T23:27:03.1758302Z %aten_select_copy_int_293 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_292, 0, 2), kwargs = {}) 2025-06-05T23:27:03.1759616Z %aten_select_copy_int_295 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_294, 0, 3), kwargs = {}) 2025-06-05T23:27:03.1760891Z %aten_select_copy_int_297 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_296, 0, 4), kwargs = {}) 2025-06-05T23:27:03.1762146Z %aten_select_copy_int_299 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_298, 0, 5), kwargs = {}) 2025-06-05T23:27:03.1763409Z %aten_select_copy_int_301 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_300, 0, 6), kwargs = {}) 2025-06-05T23:27:03.1764673Z %aten_select_copy_int_303 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_302, 0, 7), kwargs = {}) 2025-06-05T23:27:03.1765921Z %aten_select_copy_int_305 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_304, 0, 8), kwargs = {}) 2025-06-05T23:27:03.1767189Z %aten_select_copy_int_307 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_306, 0, 9), kwargs = {}) 2025-06-05T23:27:03.1768489Z %aten_select_copy_int_309 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_308, 0, 10), kwargs = {}) 2025-06-05T23:27:03.1769065Z %aten_select_copy_int_311 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_310, 0, 11), kwargs = {}) 2025-06-05T23:27:03.1770592Z %aten_cat_default_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_select_copy_int_289, %aten_select_copy_int_291, %aten_select_copy_int_293, %aten_select_copy_int_295, %aten_select_copy_int_297, %aten_select_copy_int_299, %aten_select_copy_int_301, %aten_select_copy_int_303, %aten_select_copy_int_305, %aten_select_copy_int_307, %aten_select_copy_int_309, %aten_select_copy_int_311],), kwargs = {}) 2025-06-05T23:27:03.1771227Z %aten_view_copy_default_117 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_26, [1, 12, 128, 64]), kwargs = {}) 2025-06-05T23:27:03.1771881Z %aten_permute_copy_default_277 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_117, [0, 1, 3, 2]), kwargs = {}) 2025-06-05T23:27:03.1772579Z %aten_matmul_default_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.matmul.default](args = (%aten_permute_copy_default_252, %aten_permute_copy_default_277), kwargs = {}) 2025-06-05T23:27:03.1773537Z %aten_mul_tensor_100 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_matmul_default_12, %quantized_decomposed_dequantize_per_tensor_default_1552), kwargs = {}) 2025-06-05T23:27:03.1774115Z %aten_add_tensor_32 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_100, %aten_index_tensor_8), kwargs = {}) 2025-06-05T23:27:03.1774723Z %aten__softmax_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._softmax.default](args = (%aten_add_tensor_32, -1, False), kwargs = {}) 2025-06-05T23:27:03.1775383Z %aten_matmul_default_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.matmul.default](args = (%aten__softmax_default_6, %aten_view_copy_default_118), kwargs = {}) 2025-06-05T23:27:03.1776043Z %aten_permute_copy_default_278 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_matmul_default_13, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1776784Z %aten_view_copy_default_125 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_permute_copy_default_278, [1, 1, 768]), kwargs = {}) 2025-06-05T23:27:03.1777433Z %aten_unsqueeze_copy_default_73 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_view_copy_default_125, -1), kwargs = {}) 2025-06-05T23:27:03.1778120Z %aten_permute_copy_default_279 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_73, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1779115Z %aten_convolution_default_45 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_279, %quantized_decomposed_dequantize_per_tensor_default_59, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.1779781Z %aten_permute_copy_default_280 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_45, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1780405Z %aten_squeeze_copy_dims_73 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_280, [-1]), kwargs = {}) 2025-06-05T23:27:03.1781035Z %aten_add_tensor_33 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_29, %aten_squeeze_copy_dims_73), kwargs = {}) 2025-06-05T23:27:03.1781921Z %aten_rms_norm_default_13 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.rms_norm.default](args = (%aten_add_tensor_33, [768], %quantized_decomposed_dequantize_per_tensor_default_60, 9.999999747378752e-06), kwargs = {}) 2025-06-05T23:27:03.1782561Z %aten_unsqueeze_copy_default_74 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_13, -1), kwargs = {}) 2025-06-05T23:27:03.1783196Z %aten_unsqueeze_copy_default_75 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_13, -1), kwargs = {}) 2025-06-05T23:27:03.1783926Z %aten_permute_copy_default_281 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_74, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1784601Z %aten_permute_copy_default_283 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_75, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1785588Z %aten_convolution_default_46 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_281, %quantized_decomposed_dequantize_per_tensor_default_61, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.1786586Z %aten_convolution_default_47 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_283, %quantized_decomposed_dequantize_per_tensor_default_62, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.1787250Z %aten_permute_copy_default_282 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_46, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1787927Z %aten_permute_copy_default_284 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_47, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1788559Z %aten_squeeze_copy_dims_74 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_282, [-1]), kwargs = {}) 2025-06-05T23:27:03.1789167Z %aten_squeeze_copy_dims_75 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_284, [-1]), kwargs = {}) 2025-06-05T23:27:03.1789760Z %aten_sigmoid_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sigmoid.default](args = (%aten_squeeze_copy_dims_74,), kwargs = {}) 2025-06-05T23:27:03.1790369Z %aten_mul_tensor_103 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_74, %aten_sigmoid_default_6), kwargs = {}) 2025-06-05T23:27:03.1791026Z %aten_mul_tensor_104 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_103, %aten_squeeze_copy_dims_75), kwargs = {}) 2025-06-05T23:27:03.1791764Z %aten_unsqueeze_copy_default_76 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_mul_tensor_104, -1), kwargs = {}) 2025-06-05T23:27:03.1792539Z %aten_permute_copy_default_285 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_76, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1793659Z %aten_convolution_default_48 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_285, %quantized_decomposed_dequantize_per_tensor_default_63, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.1794342Z %aten_permute_copy_default_286 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_48, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1794945Z %aten_squeeze_copy_dims_76 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_286, [-1]), kwargs = {}) 2025-06-05T23:27:03.1795544Z %aten_add_tensor_34 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_33, %aten_squeeze_copy_dims_76), kwargs = {}) 2025-06-05T23:27:03.1796407Z %aten_rms_norm_default_14 : [num_users=3] = call_function[target=executorch.exir.dialects.edge._ops.aten.rms_norm.default](args = (%aten_add_tensor_34, [768], %quantized_decomposed_dequantize_per_tensor_default_64, 9.999999747378752e-06), kwargs = {}) 2025-06-05T23:27:03.1797045Z %aten_unsqueeze_copy_default_77 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_14, -1), kwargs = {}) 2025-06-05T23:27:03.1797693Z %aten_unsqueeze_copy_default_78 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_14, -1), kwargs = {}) 2025-06-05T23:27:03.1798323Z %aten_unsqueeze_copy_default_79 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_14, -1), kwargs = {}) 2025-06-05T23:27:03.1799012Z %aten_permute_copy_default_287 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_77, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1799684Z %aten_permute_copy_default_289 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_78, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1800351Z %aten_permute_copy_default_291 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_79, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1801376Z %aten_convolution_default_49 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_287, %quantized_decomposed_dequantize_per_tensor_default_65, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.1802355Z %aten_convolution_default_50 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_289, %quantized_decomposed_dequantize_per_tensor_default_66, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.1803348Z %aten_convolution_default_51 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_291, %quantized_decomposed_dequantize_per_tensor_default_67, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.1804012Z %aten_permute_copy_default_288 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_49, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1804666Z %aten_permute_copy_default_290 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_50, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1805358Z %aten_permute_copy_default_292 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_51, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1806007Z %aten_squeeze_copy_dims_77 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_288, [-1]), kwargs = {}) 2025-06-05T23:27:03.1806612Z %aten_squeeze_copy_dims_78 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_290, [-1]), kwargs = {}) 2025-06-05T23:27:03.1807223Z %aten_squeeze_copy_dims_79 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_292, [-1]), kwargs = {}) 2025-06-05T23:27:03.1807870Z %aten_view_copy_default_126 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_77, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.1808485Z %aten_view_copy_default_127 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_78, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.1809120Z %aten_view_copy_default_128 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_79, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.1809758Z %aten_view_copy_default_129 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_126, [1, 1, 12, -1, 2]), kwargs = {}) 2025-06-05T23:27:03.1810406Z %aten_view_copy_default_130 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_127, [1, 1, 12, -1, 2]), kwargs = {}) 2025-06-05T23:27:03.1811258Z %aten_index_put_default_15 : [num_users=13] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%b_layers_7_attention_kv_cache_past_v_caches, [None, %aten__to_copy_default_1], %aten_view_copy_default_128), kwargs = {}) 2025-06-05T23:27:03.1811858Z %aten_slice_copy_tensor_28 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_129, 4, 0, 1), kwargs = {}) 2025-06-05T23:27:03.1812501Z %aten_slice_copy_tensor_29 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_129, 4, 1, 2), kwargs = {}) 2025-06-05T23:27:03.1813095Z %aten_slice_copy_tensor_30 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_130, 4, 0, 1), kwargs = {}) 2025-06-05T23:27:03.1813699Z %aten_slice_copy_tensor_31 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_130, 4, 1, 2), kwargs = {}) 2025-06-05T23:27:03.1814362Z %aten_permute_copy_default_306 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_15, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1815004Z %aten_permute_copy_default_307 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_15, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1815666Z %aten_permute_copy_default_308 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_15, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1816308Z %aten_permute_copy_default_309 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_15, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1816979Z %aten_permute_copy_default_310 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_15, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1817656Z %aten_permute_copy_default_311 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_15, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1818300Z %aten_permute_copy_default_312 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_15, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1818943Z %aten_permute_copy_default_313 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_15, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1819631Z %aten_permute_copy_default_314 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_15, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1820274Z %aten_permute_copy_default_315 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_15, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1820930Z %aten_permute_copy_default_316 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_15, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1821576Z %aten_permute_copy_default_317 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_15, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1822167Z %aten_squeeze_copy_dims_80 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_28, [4]), kwargs = {}) 2025-06-05T23:27:03.1822770Z %aten_squeeze_copy_dims_81 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_29, [4]), kwargs = {}) 2025-06-05T23:27:03.1823358Z %aten_squeeze_copy_dims_82 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_30, [4]), kwargs = {}) 2025-06-05T23:27:03.1823979Z %aten_squeeze_copy_dims_83 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_31, [4]), kwargs = {}) 2025-06-05T23:27:03.1824583Z %aten_select_copy_int_360 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_306, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1825170Z %aten_select_copy_int_362 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_307, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1825756Z %aten_select_copy_int_364 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_308, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1826358Z %aten_select_copy_int_366 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_309, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1826944Z %aten_select_copy_int_368 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_310, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1827546Z %aten_select_copy_int_370 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_311, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1828161Z %aten_select_copy_int_372 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_312, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1828776Z %aten_select_copy_int_374 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_313, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1829371Z %aten_select_copy_int_376 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_314, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1829950Z %aten_select_copy_int_378 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_315, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1830532Z %aten_select_copy_int_380 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_316, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1831226Z %aten_select_copy_int_382 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_317, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1831850Z %aten_mul_tensor_107 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_80, %aten_view_copy_default_131), kwargs = {}) 2025-06-05T23:27:03.1832472Z %aten_mul_tensor_109 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_80, %aten_view_copy_default_132), kwargs = {}) 2025-06-05T23:27:03.1833097Z %aten_mul_tensor_108 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_81, %aten_view_copy_default_132), kwargs = {}) 2025-06-05T23:27:03.1833715Z %aten_mul_tensor_110 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_81, %aten_view_copy_default_131), kwargs = {}) 2025-06-05T23:27:03.1834345Z %aten_mul_tensor_111 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_82, %aten_view_copy_default_131), kwargs = {}) 2025-06-05T23:27:03.1834957Z %aten_mul_tensor_113 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_82, %aten_view_copy_default_132), kwargs = {}) 2025-06-05T23:27:03.1835610Z %aten_mul_tensor_112 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_83, %aten_view_copy_default_132), kwargs = {}) 2025-06-05T23:27:03.1836241Z %aten_mul_tensor_114 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_83, %aten_view_copy_default_131), kwargs = {}) 2025-06-05T23:27:03.1836818Z %aten_select_copy_int_361 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_360, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1837390Z %aten_select_copy_int_363 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_362, 0, 1), kwargs = {}) 2025-06-05T23:27:03.1837972Z %aten_select_copy_int_365 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_364, 0, 2), kwargs = {}) 2025-06-05T23:27:03.1838540Z %aten_select_copy_int_367 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_366, 0, 3), kwargs = {}) 2025-06-05T23:27:03.1839114Z %aten_select_copy_int_369 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_368, 0, 4), kwargs = {}) 2025-06-05T23:27:03.1839727Z %aten_select_copy_int_371 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_370, 0, 5), kwargs = {}) 2025-06-05T23:27:03.1840322Z %aten_select_copy_int_373 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_372, 0, 6), kwargs = {}) 2025-06-05T23:27:03.1840907Z %aten_select_copy_int_375 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_374, 0, 7), kwargs = {}) 2025-06-05T23:27:03.1841475Z %aten_select_copy_int_377 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_376, 0, 8), kwargs = {}) 2025-06-05T23:27:03.1842075Z %aten_select_copy_int_379 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_378, 0, 9), kwargs = {}) 2025-06-05T23:27:03.1842662Z %aten_select_copy_int_381 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_380, 0, 10), kwargs = {}) 2025-06-05T23:27:03.1843235Z %aten_select_copy_int_383 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_382, 0, 11), kwargs = {}) 2025-06-05T23:27:03.1843802Z %aten_sub_tensor_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_107, %aten_mul_tensor_108), kwargs = {}) 2025-06-05T23:27:03.1844378Z %aten_add_tensor_35 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_109, %aten_mul_tensor_110), kwargs = {}) 2025-06-05T23:27:03.1844941Z %aten_sub_tensor_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_111, %aten_mul_tensor_112), kwargs = {}) 2025-06-05T23:27:03.1845503Z %aten_add_tensor_36 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_113, %aten_mul_tensor_114), kwargs = {}) 2025-06-05T23:27:03.1847034Z %aten_cat_default_31 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_select_copy_int_361, %aten_select_copy_int_363, %aten_select_copy_int_365, %aten_select_copy_int_367, %aten_select_copy_int_369, %aten_select_copy_int_371, %aten_select_copy_int_373, %aten_select_copy_int_375, %aten_select_copy_int_377, %aten_select_copy_int_379, %aten_select_copy_int_381, %aten_select_copy_int_383],), kwargs = {}) 2025-06-05T23:27:03.1847649Z %aten_unsqueeze_copy_default_80 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_14, 4), kwargs = {}) 2025-06-05T23:27:03.1848276Z %aten_unsqueeze_copy_default_81 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_35, 4), kwargs = {}) 2025-06-05T23:27:03.1848885Z %aten_unsqueeze_copy_default_82 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_15, 4), kwargs = {}) 2025-06-05T23:27:03.1849498Z %aten_unsqueeze_copy_default_83 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_36, 4), kwargs = {}) 2025-06-05T23:27:03.1850119Z %aten_view_copy_default_136 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_31, [1, 12, 128, 64]), kwargs = {}) 2025-06-05T23:27:03.1850847Z %aten_cat_default_28 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_80, %aten_unsqueeze_copy_default_81], -1), kwargs = {}) 2025-06-05T23:27:03.1851527Z %aten_cat_default_29 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_82, %aten_unsqueeze_copy_default_83], -1), kwargs = {}) 2025-06-05T23:27:03.1852164Z %aten_view_copy_default_133 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_28, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.1852758Z %aten_view_copy_default_134 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_29, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.1853421Z %aten_permute_copy_default_293 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_133, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1854300Z %aten_index_put_default_14 : [num_users=13] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%b_layers_7_attention_kv_cache_past_k_caches, [None, %aten__to_copy_default_1], %aten_view_copy_default_134), kwargs = {}) 2025-06-05T23:27:03.1854951Z %aten_permute_copy_default_294 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_14, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1855610Z %aten_permute_copy_default_295 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_14, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1856255Z %aten_permute_copy_default_296 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_14, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1856900Z %aten_permute_copy_default_297 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_14, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1857623Z %aten_permute_copy_default_298 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_14, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1858285Z %aten_permute_copy_default_299 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_14, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1858991Z %aten_permute_copy_default_300 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_14, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1859636Z %aten_permute_copy_default_301 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_14, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1860280Z %aten_permute_copy_default_302 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_14, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1860938Z %aten_permute_copy_default_303 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_14, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1861585Z %aten_permute_copy_default_304 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_14, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1862230Z %aten_permute_copy_default_305 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_14, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1862863Z %aten_select_copy_int_336 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_294, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1863473Z %aten_select_copy_int_338 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_295, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1864072Z %aten_select_copy_int_340 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_296, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1864656Z %aten_select_copy_int_342 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_297, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1865268Z %aten_select_copy_int_344 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_298, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1865865Z %aten_select_copy_int_346 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_299, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1866450Z %aten_select_copy_int_348 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_300, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1867035Z %aten_select_copy_int_350 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_301, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1867633Z %aten_select_copy_int_352 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_302, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1868219Z %aten_select_copy_int_354 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_303, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1868802Z %aten_select_copy_int_356 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_304, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1869400Z %aten_select_copy_int_358 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_305, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1869996Z %aten_select_copy_int_337 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_336, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1870583Z %aten_select_copy_int_339 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_338, 0, 1), kwargs = {}) 2025-06-05T23:27:03.1871253Z %aten_select_copy_int_341 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_340, 0, 2), kwargs = {}) 2025-06-05T23:27:03.1871821Z %aten_select_copy_int_343 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_342, 0, 3), kwargs = {}) 2025-06-05T23:27:03.1872399Z %aten_select_copy_int_345 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_344, 0, 4), kwargs = {}) 2025-06-05T23:27:03.1873146Z %aten_select_copy_int_347 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_346, 0, 5), kwargs = {}) 2025-06-05T23:27:03.1873719Z %aten_select_copy_int_349 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_348, 0, 6), kwargs = {}) 2025-06-05T23:27:03.1874404Z %aten_select_copy_int_351 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_350, 0, 7), kwargs = {}) 2025-06-05T23:27:03.1875011Z %aten_select_copy_int_353 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_352, 0, 8), kwargs = {}) 2025-06-05T23:27:03.1875584Z %aten_select_copy_int_355 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_354, 0, 9), kwargs = {}) 2025-06-05T23:27:03.1876168Z %aten_select_copy_int_357 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_356, 0, 10), kwargs = {}) 2025-06-05T23:27:03.1876740Z %aten_select_copy_int_359 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_358, 0, 11), kwargs = {}) 2025-06-05T23:27:03.1878290Z %aten_cat_default_30 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_select_copy_int_337, %aten_select_copy_int_339, %aten_select_copy_int_341, %aten_select_copy_int_343, %aten_select_copy_int_345, %aten_select_copy_int_347, %aten_select_copy_int_349, %aten_select_copy_int_351, %aten_select_copy_int_353, %aten_select_copy_int_355, %aten_select_copy_int_357, %aten_select_copy_int_359],), kwargs = {}) 2025-06-05T23:27:03.1878902Z %aten_view_copy_default_135 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_30, [1, 12, 128, 64]), kwargs = {}) 2025-06-05T23:27:03.1879549Z %aten_permute_copy_default_318 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_135, [0, 1, 3, 2]), kwargs = {}) 2025-06-05T23:27:03.1880249Z %aten_matmul_default_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.matmul.default](args = (%aten_permute_copy_default_293, %aten_permute_copy_default_318), kwargs = {}) 2025-06-05T23:27:03.1880978Z %aten_mul_tensor_115 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_matmul_default_14, %quantized_decomposed_dequantize_per_tensor_default_1754), kwargs = {}) 2025-06-05T23:27:03.1881544Z %aten_add_tensor_37 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_115, %aten_index_tensor_9), kwargs = {}) 2025-06-05T23:27:03.1882177Z %aten__softmax_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._softmax.default](args = (%aten_add_tensor_37, -1, False), kwargs = {}) 2025-06-05T23:27:03.1882840Z %aten_matmul_default_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.matmul.default](args = (%aten__softmax_default_7, %aten_view_copy_default_136), kwargs = {}) 2025-06-05T23:27:03.1883615Z %aten_permute_copy_default_319 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_matmul_default_15, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1884244Z %aten_view_copy_default_143 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_permute_copy_default_319, [1, 1, 768]), kwargs = {}) 2025-06-05T23:27:03.1884890Z %aten_unsqueeze_copy_default_84 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_view_copy_default_143, -1), kwargs = {}) 2025-06-05T23:27:03.1885572Z %aten_permute_copy_default_320 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_84, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1886593Z %aten_convolution_default_52 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_320, %quantized_decomposed_dequantize_per_tensor_default_68, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.1887278Z %aten_permute_copy_default_321 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_52, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1887899Z %aten_squeeze_copy_dims_84 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_321, [-1]), kwargs = {}) 2025-06-05T23:27:03.1888481Z %aten_add_tensor_38 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_34, %aten_squeeze_copy_dims_84), kwargs = {}) 2025-06-05T23:27:03.1889352Z %aten_rms_norm_default_15 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.rms_norm.default](args = (%aten_add_tensor_38, [768], %quantized_decomposed_dequantize_per_tensor_default_69, 9.999999747378752e-06), kwargs = {}) 2025-06-05T23:27:03.1889985Z %aten_unsqueeze_copy_default_85 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_15, -1), kwargs = {}) 2025-06-05T23:27:03.1890616Z %aten_unsqueeze_copy_default_86 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_15, -1), kwargs = {}) 2025-06-05T23:27:03.1891302Z %aten_permute_copy_default_322 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_85, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1891972Z %aten_permute_copy_default_324 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_86, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1892954Z %aten_convolution_default_53 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_322, %quantized_decomposed_dequantize_per_tensor_default_70, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.1894121Z %aten_convolution_default_54 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_324, %quantized_decomposed_dequantize_per_tensor_default_71, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.1894957Z %aten_permute_copy_default_323 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_53, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1895632Z %aten_permute_copy_default_325 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_54, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1896238Z %aten_squeeze_copy_dims_85 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_323, [-1]), kwargs = {}) 2025-06-05T23:27:03.1896839Z %aten_squeeze_copy_dims_86 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_325, [-1]), kwargs = {}) 2025-06-05T23:27:03.1897422Z %aten_sigmoid_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sigmoid.default](args = (%aten_squeeze_copy_dims_85,), kwargs = {}) 2025-06-05T23:27:03.1898029Z %aten_mul_tensor_118 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_85, %aten_sigmoid_default_7), kwargs = {}) 2025-06-05T23:27:03.1898664Z %aten_mul_tensor_119 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_118, %aten_squeeze_copy_dims_86), kwargs = {}) 2025-06-05T23:27:03.1899322Z %aten_unsqueeze_copy_default_87 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_mul_tensor_119, -1), kwargs = {}) 2025-06-05T23:27:03.1900009Z %aten_permute_copy_default_326 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_87, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1901008Z %aten_convolution_default_55 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_326, %quantized_decomposed_dequantize_per_tensor_default_72, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.1901696Z %aten_permute_copy_default_327 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_55, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1902309Z %aten_squeeze_copy_dims_87 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_327, [-1]), kwargs = {}) 2025-06-05T23:27:03.1902908Z %aten_add_tensor_39 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_38, %aten_squeeze_copy_dims_87), kwargs = {}) 2025-06-05T23:27:03.1903740Z %aten_rms_norm_default_16 : [num_users=3] = call_function[target=executorch.exir.dialects.edge._ops.aten.rms_norm.default](args = (%aten_add_tensor_39, [768], %quantized_decomposed_dequantize_per_tensor_default_73, 9.999999747378752e-06), kwargs = {}) 2025-06-05T23:27:03.1904376Z %aten_unsqueeze_copy_default_88 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_16, -1), kwargs = {}) 2025-06-05T23:27:03.1905024Z %aten_unsqueeze_copy_default_89 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_16, -1), kwargs = {}) 2025-06-05T23:27:03.1905656Z %aten_unsqueeze_copy_default_90 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_16, -1), kwargs = {}) 2025-06-05T23:27:03.1906368Z %aten_permute_copy_default_328 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_88, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1907037Z %aten_permute_copy_default_330 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_89, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1907710Z %aten_permute_copy_default_332 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_90, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1908703Z %aten_convolution_default_56 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_328, %quantized_decomposed_dequantize_per_tensor_default_74, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.1909685Z %aten_convolution_default_57 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_330, %quantized_decomposed_dequantize_per_tensor_default_75, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.1910698Z %aten_convolution_default_58 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_332, %quantized_decomposed_dequantize_per_tensor_default_76, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.1911458Z %aten_permute_copy_default_329 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_56, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1912121Z %aten_permute_copy_default_331 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_57, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1912799Z %aten_permute_copy_default_333 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_58, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1913439Z %aten_squeeze_copy_dims_88 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_329, [-1]), kwargs = {}) 2025-06-05T23:27:03.1914040Z %aten_squeeze_copy_dims_89 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_331, [-1]), kwargs = {}) 2025-06-05T23:27:03.1914659Z %aten_squeeze_copy_dims_90 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_333, [-1]), kwargs = {}) 2025-06-05T23:27:03.1915284Z %aten_view_copy_default_144 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_88, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.1915902Z %aten_view_copy_default_145 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_89, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.1916541Z %aten_view_copy_default_146 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_90, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.1917178Z %aten_view_copy_default_147 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_144, [1, 1, 12, -1, 2]), kwargs = {}) 2025-06-05T23:27:03.1917847Z %aten_view_copy_default_148 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_145, [1, 1, 12, -1, 2]), kwargs = {}) 2025-06-05T23:27:03.1918706Z %aten_index_put_default_17 : [num_users=13] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%b_layers_8_attention_kv_cache_past_v_caches, [None, %aten__to_copy_default_1], %aten_view_copy_default_146), kwargs = {}) 2025-06-05T23:27:03.1919311Z %aten_slice_copy_tensor_32 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_147, 4, 0, 1), kwargs = {}) 2025-06-05T23:27:03.1919929Z %aten_slice_copy_tensor_33 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_147, 4, 1, 2), kwargs = {}) 2025-06-05T23:27:03.1920528Z %aten_slice_copy_tensor_34 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_148, 4, 0, 1), kwargs = {}) 2025-06-05T23:27:03.1921124Z %aten_slice_copy_tensor_35 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_148, 4, 1, 2), kwargs = {}) 2025-06-05T23:27:03.1921789Z %aten_permute_copy_default_347 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_17, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1922464Z %aten_permute_copy_default_348 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_17, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1923150Z %aten_permute_copy_default_349 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_17, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1923798Z %aten_permute_copy_default_350 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_17, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1924439Z %aten_permute_copy_default_351 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_17, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1925127Z %aten_permute_copy_default_352 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_17, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1925777Z %aten_permute_copy_default_353 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_17, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1926421Z %aten_permute_copy_default_354 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_17, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1927073Z %aten_permute_copy_default_355 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_17, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1927722Z %aten_permute_copy_default_356 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_17, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1928382Z %aten_permute_copy_default_357 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_17, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1929032Z %aten_permute_copy_default_358 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_17, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1929648Z %aten_squeeze_copy_dims_91 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_32, [4]), kwargs = {}) 2025-06-05T23:27:03.1930251Z %aten_squeeze_copy_dims_92 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_33, [4]), kwargs = {}) 2025-06-05T23:27:03.1930840Z %aten_squeeze_copy_dims_93 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_34, [4]), kwargs = {}) 2025-06-05T23:27:03.1931430Z %aten_squeeze_copy_dims_94 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_35, [4]), kwargs = {}) 2025-06-05T23:27:03.1932028Z %aten_select_copy_int_408 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_347, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1932610Z %aten_select_copy_int_410 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_348, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1933198Z %aten_select_copy_int_412 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_349, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1933826Z %aten_select_copy_int_414 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_350, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1934439Z %aten_select_copy_int_416 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_351, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1935037Z %aten_select_copy_int_418 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_352, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1935620Z %aten_select_copy_int_420 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_353, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1936242Z %aten_select_copy_int_422 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_354, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1936838Z %aten_select_copy_int_424 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_355, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1937422Z %aten_select_copy_int_426 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_356, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1938007Z %aten_select_copy_int_428 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_357, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1938603Z %aten_select_copy_int_430 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_358, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1939224Z %aten_mul_tensor_122 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_91, %aten_view_copy_default_149), kwargs = {}) 2025-06-05T23:27:03.1939839Z %aten_mul_tensor_124 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_91, %aten_view_copy_default_150), kwargs = {}) 2025-06-05T23:27:03.1940466Z %aten_mul_tensor_123 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_92, %aten_view_copy_default_150), kwargs = {}) 2025-06-05T23:27:03.1941111Z %aten_mul_tensor_125 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_92, %aten_view_copy_default_149), kwargs = {}) 2025-06-05T23:27:03.1941737Z %aten_mul_tensor_126 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_93, %aten_view_copy_default_149), kwargs = {}) 2025-06-05T23:27:03.1942355Z %aten_mul_tensor_128 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_93, %aten_view_copy_default_150), kwargs = {}) 2025-06-05T23:27:03.1942976Z %aten_mul_tensor_127 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_94, %aten_view_copy_default_150), kwargs = {}) 2025-06-05T23:27:03.1943608Z %aten_mul_tensor_129 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_94, %aten_view_copy_default_149), kwargs = {}) 2025-06-05T23:27:03.1944177Z %aten_select_copy_int_409 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_408, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1944777Z %aten_select_copy_int_411 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_410, 0, 1), kwargs = {}) 2025-06-05T23:27:03.1945363Z %aten_select_copy_int_413 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_412, 0, 2), kwargs = {}) 2025-06-05T23:27:03.1945958Z %aten_select_copy_int_415 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_414, 0, 3), kwargs = {}) 2025-06-05T23:27:03.1946528Z %aten_select_copy_int_417 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_416, 0, 4), kwargs = {}) 2025-06-05T23:27:03.1947106Z %aten_select_copy_int_419 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_418, 0, 5), kwargs = {}) 2025-06-05T23:27:03.1947701Z %aten_select_copy_int_421 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_420, 0, 6), kwargs = {}) 2025-06-05T23:27:03.1948285Z %aten_select_copy_int_423 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_422, 0, 7), kwargs = {}) 2025-06-05T23:27:03.1948858Z %aten_select_copy_int_425 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_424, 0, 8), kwargs = {}) 2025-06-05T23:27:03.1949427Z %aten_select_copy_int_427 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_426, 0, 9), kwargs = {}) 2025-06-05T23:27:03.1950012Z %aten_select_copy_int_429 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_428, 0, 10), kwargs = {}) 2025-06-05T23:27:03.1950586Z %aten_select_copy_int_431 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_430, 0, 11), kwargs = {}) 2025-06-05T23:27:03.1951230Z %aten_sub_tensor_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_122, %aten_mul_tensor_123), kwargs = {}) 2025-06-05T23:27:03.1951804Z %aten_add_tensor_40 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_124, %aten_mul_tensor_125), kwargs = {}) 2025-06-05T23:27:03.1952400Z %aten_sub_tensor_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_126, %aten_mul_tensor_127), kwargs = {}) 2025-06-05T23:27:03.1952965Z %aten_add_tensor_41 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_128, %aten_mul_tensor_129), kwargs = {}) 2025-06-05T23:27:03.1954465Z %aten_cat_default_35 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_select_copy_int_409, %aten_select_copy_int_411, %aten_select_copy_int_413, %aten_select_copy_int_415, %aten_select_copy_int_417, %aten_select_copy_int_419, %aten_select_copy_int_421, %aten_select_copy_int_423, %aten_select_copy_int_425, %aten_select_copy_int_427, %aten_select_copy_int_429, %aten_select_copy_int_431],), kwargs = {}) 2025-06-05T23:27:03.1955083Z %aten_unsqueeze_copy_default_91 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_16, 4), kwargs = {}) 2025-06-05T23:27:03.1955707Z %aten_unsqueeze_copy_default_92 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_40, 4), kwargs = {}) 2025-06-05T23:27:03.1956343Z %aten_unsqueeze_copy_default_93 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_17, 4), kwargs = {}) 2025-06-05T23:27:03.1956952Z %aten_unsqueeze_copy_default_94 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_41, 4), kwargs = {}) 2025-06-05T23:27:03.1957596Z %aten_view_copy_default_154 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_35, [1, 12, 128, 64]), kwargs = {}) 2025-06-05T23:27:03.1958354Z %aten_cat_default_32 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_91, %aten_unsqueeze_copy_default_92], -1), kwargs = {}) 2025-06-05T23:27:03.1959059Z %aten_cat_default_33 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_93, %aten_unsqueeze_copy_default_94], -1), kwargs = {}) 2025-06-05T23:27:03.1959705Z %aten_view_copy_default_151 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_32, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.1960303Z %aten_view_copy_default_152 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_33, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.1960972Z %aten_permute_copy_default_334 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_151, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1961824Z %aten_index_put_default_16 : [num_users=13] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%b_layers_8_attention_kv_cache_past_k_caches, [None, %aten__to_copy_default_1], %aten_view_copy_default_152), kwargs = {}) 2025-06-05T23:27:03.1962479Z %aten_permute_copy_default_335 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_16, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1963141Z %aten_permute_copy_default_336 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_16, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1963788Z %aten_permute_copy_default_337 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_16, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1964463Z %aten_permute_copy_default_338 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_16, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1965123Z %aten_permute_copy_default_339 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_16, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1965766Z %aten_permute_copy_default_340 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_16, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1966420Z %aten_permute_copy_default_341 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_16, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1967066Z %aten_permute_copy_default_342 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_16, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1967707Z %aten_permute_copy_default_343 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_16, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1968392Z %aten_permute_copy_default_344 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_16, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1969058Z %aten_permute_copy_default_345 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_16, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1969699Z %aten_permute_copy_default_346 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_16, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1970303Z %aten_select_copy_int_384 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_335, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1970913Z %aten_select_copy_int_386 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_336, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1971507Z %aten_select_copy_int_388 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_337, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1972098Z %aten_select_copy_int_390 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_338, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1972873Z %aten_select_copy_int_392 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_339, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1973481Z %aten_select_copy_int_394 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_340, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1974072Z %aten_select_copy_int_396 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_341, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1974658Z %aten_select_copy_int_398 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_342, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1975254Z %aten_select_copy_int_400 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_343, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1976006Z %aten_select_copy_int_402 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_344, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1976593Z %aten_select_copy_int_404 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_345, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1977196Z %aten_select_copy_int_406 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_346, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1977769Z %aten_select_copy_int_385 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_384, 0, 0), kwargs = {}) 2025-06-05T23:27:03.1978349Z %aten_select_copy_int_387 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_386, 0, 1), kwargs = {}) 2025-06-05T23:27:03.1978916Z %aten_select_copy_int_389 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_388, 0, 2), kwargs = {}) 2025-06-05T23:27:03.1979483Z %aten_select_copy_int_391 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_390, 0, 3), kwargs = {}) 2025-06-05T23:27:03.1980107Z %aten_select_copy_int_393 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_392, 0, 4), kwargs = {}) 2025-06-05T23:27:03.1980721Z %aten_select_copy_int_395 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_394, 0, 5), kwargs = {}) 2025-06-05T23:27:03.1981290Z %aten_select_copy_int_397 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_396, 0, 6), kwargs = {}) 2025-06-05T23:27:03.1981870Z %aten_select_copy_int_399 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_398, 0, 7), kwargs = {}) 2025-06-05T23:27:03.1982478Z %aten_select_copy_int_401 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_400, 0, 8), kwargs = {}) 2025-06-05T23:27:03.1983051Z %aten_select_copy_int_403 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_402, 0, 9), kwargs = {}) 2025-06-05T23:27:03.1983636Z %aten_select_copy_int_405 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_404, 0, 10), kwargs = {}) 2025-06-05T23:27:03.1984210Z %aten_select_copy_int_407 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_406, 0, 11), kwargs = {}) 2025-06-05T23:27:03.1985698Z %aten_cat_default_34 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_select_copy_int_385, %aten_select_copy_int_387, %aten_select_copy_int_389, %aten_select_copy_int_391, %aten_select_copy_int_393, %aten_select_copy_int_395, %aten_select_copy_int_397, %aten_select_copy_int_399, %aten_select_copy_int_401, %aten_select_copy_int_403, %aten_select_copy_int_405, %aten_select_copy_int_407],), kwargs = {}) 2025-06-05T23:27:03.1986311Z %aten_view_copy_default_153 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_34, [1, 12, 128, 64]), kwargs = {}) 2025-06-05T23:27:03.1986962Z %aten_permute_copy_default_359 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_153, [0, 1, 3, 2]), kwargs = {}) 2025-06-05T23:27:03.1987708Z %aten_matmul_default_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.matmul.default](args = (%aten_permute_copy_default_334, %aten_permute_copy_default_359), kwargs = {}) 2025-06-05T23:27:03.1988440Z %aten_mul_tensor_130 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_matmul_default_16, %quantized_decomposed_dequantize_per_tensor_default_1956), kwargs = {}) 2025-06-05T23:27:03.1989015Z %aten_add_tensor_42 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_130, %aten_index_tensor_10), kwargs = {}) 2025-06-05T23:27:03.1989607Z %aten__softmax_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._softmax.default](args = (%aten_add_tensor_42, -1, False), kwargs = {}) 2025-06-05T23:27:03.1990266Z %aten_matmul_default_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.matmul.default](args = (%aten__softmax_default_8, %aten_view_copy_default_154), kwargs = {}) 2025-06-05T23:27:03.1990982Z %aten_permute_copy_default_360 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_matmul_default_17, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1991644Z %aten_view_copy_default_161 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_permute_copy_default_360, [1, 1, 768]), kwargs = {}) 2025-06-05T23:27:03.1992306Z %aten_unsqueeze_copy_default_95 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_view_copy_default_161, -1), kwargs = {}) 2025-06-05T23:27:03.1992988Z %aten_permute_copy_default_361 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_95, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1993970Z %aten_convolution_default_59 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_361, %quantized_decomposed_dequantize_per_tensor_default_77, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.1994658Z %aten_permute_copy_default_362 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_59, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1995280Z %aten_squeeze_copy_dims_95 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_362, [-1]), kwargs = {}) 2025-06-05T23:27:03.1995863Z %aten_add_tensor_43 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_39, %aten_squeeze_copy_dims_95), kwargs = {}) 2025-06-05T23:27:03.1996845Z %aten_rms_norm_default_17 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.rms_norm.default](args = (%aten_add_tensor_43, [768], %quantized_decomposed_dequantize_per_tensor_default_78, 9.999999747378752e-06), kwargs = {}) 2025-06-05T23:27:03.1997485Z %aten_unsqueeze_copy_default_96 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_17, -1), kwargs = {}) 2025-06-05T23:27:03.1998119Z %aten_unsqueeze_copy_default_97 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_17, -1), kwargs = {}) 2025-06-05T23:27:03.1998807Z %aten_permute_copy_default_363 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_96, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.1999506Z %aten_permute_copy_default_365 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_97, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2000491Z %aten_convolution_default_60 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_363, %quantized_decomposed_dequantize_per_tensor_default_79, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.2001479Z %aten_convolution_default_61 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_365, %quantized_decomposed_dequantize_per_tensor_default_80, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.2002142Z %aten_permute_copy_default_364 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_60, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2002812Z %aten_permute_copy_default_366 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_61, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2003444Z %aten_squeeze_copy_dims_96 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_364, [-1]), kwargs = {}) 2025-06-05T23:27:03.2004048Z %aten_squeeze_copy_dims_97 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_366, [-1]), kwargs = {}) 2025-06-05T23:27:03.2004657Z %aten_sigmoid_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sigmoid.default](args = (%aten_squeeze_copy_dims_96,), kwargs = {}) 2025-06-05T23:27:03.2005263Z %aten_mul_tensor_133 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_96, %aten_sigmoid_default_8), kwargs = {}) 2025-06-05T23:27:03.2005853Z %aten_mul_tensor_134 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_133, %aten_squeeze_copy_dims_97), kwargs = {}) 2025-06-05T23:27:03.2006511Z %aten_unsqueeze_copy_default_98 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_mul_tensor_134, -1), kwargs = {}) 2025-06-05T23:27:03.2007186Z %aten_permute_copy_default_367 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_98, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2008187Z %aten_convolution_default_62 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_367, %quantized_decomposed_dequantize_per_tensor_default_81, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.2008849Z %aten_permute_copy_default_368 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_62, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2009458Z %aten_squeeze_copy_dims_98 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_368, [-1]), kwargs = {}) 2025-06-05T23:27:03.2010056Z %aten_add_tensor_44 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_43, %aten_squeeze_copy_dims_98), kwargs = {}) 2025-06-05T23:27:03.2010894Z %aten_rms_norm_default_18 : [num_users=3] = call_function[target=executorch.exir.dialects.edge._ops.aten.rms_norm.default](args = (%aten_add_tensor_44, [768], %quantized_decomposed_dequantize_per_tensor_default_82, 9.999999747378752e-06), kwargs = {}) 2025-06-05T23:27:03.2011558Z %aten_unsqueeze_copy_default_99 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_18, -1), kwargs = {}) 2025-06-05T23:27:03.2012210Z %aten_unsqueeze_copy_default_100 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_18, -1), kwargs = {}) 2025-06-05T23:27:03.2012844Z %aten_unsqueeze_copy_default_101 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_18, -1), kwargs = {}) 2025-06-05T23:27:03.2013534Z %aten_permute_copy_default_369 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_99, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2014208Z %aten_permute_copy_default_371 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_100, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2014882Z %aten_permute_copy_default_373 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_101, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2015903Z %aten_convolution_default_63 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_369, %quantized_decomposed_dequantize_per_tensor_default_83, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.2016901Z %aten_convolution_default_64 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_371, %quantized_decomposed_dequantize_per_tensor_default_84, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.2017883Z %aten_convolution_default_65 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_373, %quantized_decomposed_dequantize_per_tensor_default_85, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.2018573Z %aten_permute_copy_default_370 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_63, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2019231Z %aten_permute_copy_default_372 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_64, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2019900Z %aten_permute_copy_default_374 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_65, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2020506Z %aten_squeeze_copy_dims_99 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_370, [-1]), kwargs = {}) 2025-06-05T23:27:03.2021113Z %aten_squeeze_copy_dims_100 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_372, [-1]), kwargs = {}) 2025-06-05T23:27:03.2021738Z %aten_squeeze_copy_dims_101 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_374, [-1]), kwargs = {}) 2025-06-05T23:27:03.2022360Z %aten_view_copy_default_162 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_99, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.2023024Z %aten_view_copy_default_163 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_100, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.2023646Z %aten_view_copy_default_164 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_101, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.2024283Z %aten_view_copy_default_165 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_162, [1, 1, 12, -1, 2]), kwargs = {}) 2025-06-05T23:27:03.2024928Z %aten_view_copy_default_166 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_163, [1, 1, 12, -1, 2]), kwargs = {}) 2025-06-05T23:27:03.2025784Z %aten_index_put_default_19 : [num_users=13] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%b_layers_9_attention_kv_cache_past_v_caches, [None, %aten__to_copy_default_1], %aten_view_copy_default_164), kwargs = {}) 2025-06-05T23:27:03.2026389Z %aten_slice_copy_tensor_36 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_165, 4, 0, 1), kwargs = {}) 2025-06-05T23:27:03.2027048Z %aten_slice_copy_tensor_37 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_165, 4, 1, 2), kwargs = {}) 2025-06-05T23:27:03.2027647Z %aten_slice_copy_tensor_38 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_166, 4, 0, 1), kwargs = {}) 2025-06-05T23:27:03.2028273Z %aten_slice_copy_tensor_39 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_166, 4, 1, 2), kwargs = {}) 2025-06-05T23:27:03.2028937Z %aten_permute_copy_default_388 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_19, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2029670Z %aten_permute_copy_default_389 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_19, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2030365Z %aten_permute_copy_default_390 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_19, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2031082Z %aten_permute_copy_default_391 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_19, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2031729Z %aten_permute_copy_default_392 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_19, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2032393Z %aten_permute_copy_default_393 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_19, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2033043Z %aten_permute_copy_default_394 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_19, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2033688Z %aten_permute_copy_default_395 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_19, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2034351Z %aten_permute_copy_default_396 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_19, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2035031Z %aten_permute_copy_default_397 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_19, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2035689Z %aten_permute_copy_default_398 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_19, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2036342Z %aten_permute_copy_default_399 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_19, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2036941Z %aten_squeeze_copy_dims_102 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_36, [4]), kwargs = {}) 2025-06-05T23:27:03.2037549Z %aten_squeeze_copy_dims_103 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_37, [4]), kwargs = {}) 2025-06-05T23:27:03.2038147Z %aten_squeeze_copy_dims_104 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_38, [4]), kwargs = {}) 2025-06-05T23:27:03.2038740Z %aten_squeeze_copy_dims_105 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_39, [4]), kwargs = {}) 2025-06-05T23:27:03.2039373Z %aten_select_copy_int_456 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_388, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2039985Z %aten_select_copy_int_458 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_389, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2040573Z %aten_select_copy_int_460 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_390, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2041169Z %aten_select_copy_int_462 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_391, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2041787Z %aten_select_copy_int_464 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_392, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2042388Z %aten_select_copy_int_466 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_393, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2042976Z %aten_select_copy_int_468 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_394, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2043563Z %aten_select_copy_int_470 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_395, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2044163Z %aten_select_copy_int_472 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_396, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2044753Z %aten_select_copy_int_474 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_397, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2045336Z %aten_select_copy_int_476 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_398, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2045935Z %aten_select_copy_int_478 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_399, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2046601Z %aten_mul_tensor_137 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_102, %aten_view_copy_default_167), kwargs = {}) 2025-06-05T23:27:03.2047221Z %aten_mul_tensor_139 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_102, %aten_view_copy_default_168), kwargs = {}) 2025-06-05T23:27:03.2047861Z %aten_mul_tensor_138 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_103, %aten_view_copy_default_168), kwargs = {}) 2025-06-05T23:27:03.2048478Z %aten_mul_tensor_140 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_103, %aten_view_copy_default_167), kwargs = {}) 2025-06-05T23:27:03.2049109Z %aten_mul_tensor_141 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_104, %aten_view_copy_default_167), kwargs = {}) 2025-06-05T23:27:03.2049732Z %aten_mul_tensor_143 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_104, %aten_view_copy_default_168), kwargs = {}) 2025-06-05T23:27:03.2050377Z %aten_mul_tensor_142 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_105, %aten_view_copy_default_168), kwargs = {}) 2025-06-05T23:27:03.2051031Z %aten_mul_tensor_144 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_105, %aten_view_copy_default_167), kwargs = {}) 2025-06-05T23:27:03.2051605Z %aten_select_copy_int_457 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_456, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2052180Z %aten_select_copy_int_459 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_458, 0, 1), kwargs = {}) 2025-06-05T23:27:03.2052759Z %aten_select_copy_int_461 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_460, 0, 2), kwargs = {}) 2025-06-05T23:27:03.2053362Z %aten_select_copy_int_463 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_462, 0, 3), kwargs = {}) 2025-06-05T23:27:03.2053944Z %aten_select_copy_int_465 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_464, 0, 4), kwargs = {}) 2025-06-05T23:27:03.2054509Z %aten_select_copy_int_467 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_466, 0, 5), kwargs = {}) 2025-06-05T23:27:03.2055078Z %aten_select_copy_int_469 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_468, 0, 6), kwargs = {}) 2025-06-05T23:27:03.2055656Z %aten_select_copy_int_471 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_470, 0, 7), kwargs = {}) 2025-06-05T23:27:03.2056229Z %aten_select_copy_int_473 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_472, 0, 8), kwargs = {}) 2025-06-05T23:27:03.2056797Z %aten_select_copy_int_475 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_474, 0, 9), kwargs = {}) 2025-06-05T23:27:03.2057402Z %aten_select_copy_int_477 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_476, 0, 10), kwargs = {}) 2025-06-05T23:27:03.2057975Z %aten_select_copy_int_479 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_478, 0, 11), kwargs = {}) 2025-06-05T23:27:03.2058540Z %aten_sub_tensor_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_137, %aten_mul_tensor_138), kwargs = {}) 2025-06-05T23:27:03.2059115Z %aten_add_tensor_45 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_139, %aten_mul_tensor_140), kwargs = {}) 2025-06-05T23:27:03.2059678Z %aten_sub_tensor_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_141, %aten_mul_tensor_142), kwargs = {}) 2025-06-05T23:27:03.2060243Z %aten_add_tensor_46 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_143, %aten_mul_tensor_144), kwargs = {}) 2025-06-05T23:27:03.2061760Z %aten_cat_default_39 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_select_copy_int_457, %aten_select_copy_int_459, %aten_select_copy_int_461, %aten_select_copy_int_463, %aten_select_copy_int_465, %aten_select_copy_int_467, %aten_select_copy_int_469, %aten_select_copy_int_471, %aten_select_copy_int_473, %aten_select_copy_int_475, %aten_select_copy_int_477, %aten_select_copy_int_479],), kwargs = {}) 2025-06-05T23:27:03.2062406Z %aten_unsqueeze_copy_default_102 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_18, 4), kwargs = {}) 2025-06-05T23:27:03.2063035Z %aten_unsqueeze_copy_default_103 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_45, 4), kwargs = {}) 2025-06-05T23:27:03.2063648Z %aten_unsqueeze_copy_default_104 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_19, 4), kwargs = {}) 2025-06-05T23:27:03.2064256Z %aten_unsqueeze_copy_default_105 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_46, 4), kwargs = {}) 2025-06-05T23:27:03.2064899Z %aten_view_copy_default_172 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_39, [1, 12, 128, 64]), kwargs = {}) 2025-06-05T23:27:03.2065591Z %aten_cat_default_36 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_102, %aten_unsqueeze_copy_default_103], -1), kwargs = {}) 2025-06-05T23:27:03.2066291Z %aten_cat_default_37 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_104, %aten_unsqueeze_copy_default_105], -1), kwargs = {}) 2025-06-05T23:27:03.2066892Z %aten_view_copy_default_169 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_36, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.2067496Z %aten_view_copy_default_170 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_37, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.2068159Z %aten_permute_copy_default_375 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_169, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2069055Z %aten_index_put_default_18 : [num_users=13] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%b_layers_9_attention_kv_cache_past_k_caches, [None, %aten__to_copy_default_1], %aten_view_copy_default_170), kwargs = {}) 2025-06-05T23:27:03.2069708Z %aten_permute_copy_default_376 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_18, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2070369Z %aten_permute_copy_default_377 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_18, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2071091Z %aten_permute_copy_default_378 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_18, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2071755Z %aten_permute_copy_default_379 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_18, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2072400Z %aten_permute_copy_default_380 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_18, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2073234Z %aten_permute_copy_default_381 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_18, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2073999Z %aten_permute_copy_default_382 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_18, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2074685Z %aten_permute_copy_default_383 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_18, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2075333Z %aten_permute_copy_default_384 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_18, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2075990Z %aten_permute_copy_default_385 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_18, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2076675Z %aten_permute_copy_default_386 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_18, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2077318Z %aten_permute_copy_default_387 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_18, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2077923Z %aten_select_copy_int_432 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_376, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2078510Z %aten_select_copy_int_434 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_377, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2079110Z %aten_select_copy_int_436 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_378, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2079696Z %aten_select_copy_int_438 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_379, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2080280Z %aten_select_copy_int_440 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_380, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2080878Z %aten_select_copy_int_442 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_381, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2081501Z %aten_select_copy_int_444 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_382, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2082089Z %aten_select_copy_int_446 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_383, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2082686Z %aten_select_copy_int_448 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_384, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2083274Z %aten_select_copy_int_450 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_385, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2083861Z %aten_select_copy_int_452 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_386, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2084457Z %aten_select_copy_int_454 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_387, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2085053Z %aten_select_copy_int_433 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_432, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2085635Z %aten_select_copy_int_435 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_434, 0, 1), kwargs = {}) 2025-06-05T23:27:03.2086231Z %aten_select_copy_int_437 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_436, 0, 2), kwargs = {}) 2025-06-05T23:27:03.2086807Z %aten_select_copy_int_439 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_438, 0, 3), kwargs = {}) 2025-06-05T23:27:03.2087500Z %aten_select_copy_int_441 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_440, 0, 4), kwargs = {}) 2025-06-05T23:27:03.2088112Z %aten_select_copy_int_443 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_442, 0, 5), kwargs = {}) 2025-06-05T23:27:03.2088687Z %aten_select_copy_int_445 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_444, 0, 6), kwargs = {}) 2025-06-05T23:27:03.2089268Z %aten_select_copy_int_447 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_446, 0, 7), kwargs = {}) 2025-06-05T23:27:03.2089838Z %aten_select_copy_int_449 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_448, 0, 8), kwargs = {}) 2025-06-05T23:27:03.2090405Z %aten_select_copy_int_451 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_450, 0, 9), kwargs = {}) 2025-06-05T23:27:03.2090995Z %aten_select_copy_int_453 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_452, 0, 10), kwargs = {}) 2025-06-05T23:27:03.2091566Z %aten_select_copy_int_455 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_454, 0, 11), kwargs = {}) 2025-06-05T23:27:03.2093101Z %aten_cat_default_38 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_select_copy_int_433, %aten_select_copy_int_435, %aten_select_copy_int_437, %aten_select_copy_int_439, %aten_select_copy_int_441, %aten_select_copy_int_443, %aten_select_copy_int_445, %aten_select_copy_int_447, %aten_select_copy_int_449, %aten_select_copy_int_451, %aten_select_copy_int_453, %aten_select_copy_int_455],), kwargs = {}) 2025-06-05T23:27:03.2093710Z %aten_view_copy_default_171 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_38, [1, 12, 128, 64]), kwargs = {}) 2025-06-05T23:27:03.2094365Z %aten_permute_copy_default_400 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_171, [0, 1, 3, 2]), kwargs = {}) 2025-06-05T23:27:03.2095063Z %aten_matmul_default_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.matmul.default](args = (%aten_permute_copy_default_375, %aten_permute_copy_default_400), kwargs = {}) 2025-06-05T23:27:03.2095796Z %aten_mul_tensor_145 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_matmul_default_18, %quantized_decomposed_dequantize_per_tensor_default_2158), kwargs = {}) 2025-06-05T23:27:03.2096377Z %aten_add_tensor_47 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_145, %aten_index_tensor_11), kwargs = {}) 2025-06-05T23:27:03.2096984Z %aten__softmax_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._softmax.default](args = (%aten_add_tensor_47, -1, False), kwargs = {}) 2025-06-05T23:27:03.2097664Z %aten_matmul_default_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.matmul.default](args = (%aten__softmax_default_9, %aten_view_copy_default_172), kwargs = {}) 2025-06-05T23:27:03.2098535Z %aten_permute_copy_default_401 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_matmul_default_19, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2099247Z %aten_view_copy_default_179 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_permute_copy_default_401, [1, 1, 768]), kwargs = {}) 2025-06-05T23:27:03.2099942Z %aten_unsqueeze_copy_default_106 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_view_copy_default_179, -1), kwargs = {}) 2025-06-05T23:27:03.2100633Z %aten_permute_copy_default_402 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_106, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2101621Z %aten_convolution_default_66 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_402, %quantized_decomposed_dequantize_per_tensor_default_86, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.2102297Z %aten_permute_copy_default_403 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_66, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2102912Z %aten_squeeze_copy_dims_106 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_403, [-1]), kwargs = {}) 2025-06-05T23:27:03.2103494Z %aten_add_tensor_48 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_44, %aten_squeeze_copy_dims_106), kwargs = {}) 2025-06-05T23:27:03.2104346Z %aten_rms_norm_default_19 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.rms_norm.default](args = (%aten_add_tensor_48, [768], %quantized_decomposed_dequantize_per_tensor_default_87, 9.999999747378752e-06), kwargs = {}) 2025-06-05T23:27:03.2105015Z %aten_unsqueeze_copy_default_107 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_19, -1), kwargs = {}) 2025-06-05T23:27:03.2105655Z %aten_unsqueeze_copy_default_108 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_19, -1), kwargs = {}) 2025-06-05T23:27:03.2106349Z %aten_permute_copy_default_404 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_107, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2107023Z %aten_permute_copy_default_406 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_108, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2108016Z %aten_convolution_default_67 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_404, %quantized_decomposed_dequantize_per_tensor_default_88, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.2109022Z %aten_convolution_default_68 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_406, %quantized_decomposed_dequantize_per_tensor_default_89, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.2109685Z %aten_permute_copy_default_405 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_67, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2110386Z %aten_permute_copy_default_407 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_68, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2111081Z %aten_squeeze_copy_dims_107 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_405, [-1]), kwargs = {}) 2025-06-05T23:27:03.2111687Z %aten_squeeze_copy_dims_108 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_407, [-1]), kwargs = {}) 2025-06-05T23:27:03.2112334Z %aten_sigmoid_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sigmoid.default](args = (%aten_squeeze_copy_dims_107,), kwargs = {}) 2025-06-05T23:27:03.2112948Z %aten_mul_tensor_148 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_107, %aten_sigmoid_default_9), kwargs = {}) 2025-06-05T23:27:03.2113557Z %aten_mul_tensor_149 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_148, %aten_squeeze_copy_dims_108), kwargs = {}) 2025-06-05T23:27:03.2114179Z %aten_unsqueeze_copy_default_109 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_mul_tensor_149, -1), kwargs = {}) 2025-06-05T23:27:03.2114856Z %aten_permute_copy_default_408 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_109, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2115846Z %aten_convolution_default_69 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_408, %quantized_decomposed_dequantize_per_tensor_default_90, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.2116508Z %aten_permute_copy_default_409 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_69, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2117141Z %aten_squeeze_copy_dims_109 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_409, [-1]), kwargs = {}) 2025-06-05T23:27:03.2117737Z %aten_add_tensor_49 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_48, %aten_squeeze_copy_dims_109), kwargs = {}) 2025-06-05T23:27:03.2118570Z %aten_rms_norm_default_20 : [num_users=3] = call_function[target=executorch.exir.dialects.edge._ops.aten.rms_norm.default](args = (%aten_add_tensor_49, [768], %quantized_decomposed_dequantize_per_tensor_default_91, 9.999999747378752e-06), kwargs = {}) 2025-06-05T23:27:03.2119223Z %aten_unsqueeze_copy_default_110 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_20, -1), kwargs = {}) 2025-06-05T23:27:03.2119860Z %aten_unsqueeze_copy_default_111 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_20, -1), kwargs = {}) 2025-06-05T23:27:03.2120494Z %aten_unsqueeze_copy_default_112 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_20, -1), kwargs = {}) 2025-06-05T23:27:03.2121209Z %aten_permute_copy_default_410 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_110, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2121910Z %aten_permute_copy_default_412 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_111, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2122586Z %aten_permute_copy_default_414 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_112, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2123577Z %aten_convolution_default_70 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_410, %quantized_decomposed_dequantize_per_tensor_default_92, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.2124582Z %aten_convolution_default_71 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_412, %quantized_decomposed_dequantize_per_tensor_default_93, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.2125568Z %aten_convolution_default_72 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_414, %quantized_decomposed_dequantize_per_tensor_default_94, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.2126225Z %aten_permute_copy_default_411 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_70, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2126886Z %aten_permute_copy_default_413 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_71, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2127551Z %aten_permute_copy_default_415 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_72, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2128159Z %aten_squeeze_copy_dims_110 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_411, [-1]), kwargs = {}) 2025-06-05T23:27:03.2128794Z %aten_squeeze_copy_dims_111 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_413, [-1]), kwargs = {}) 2025-06-05T23:27:03.2129412Z %aten_squeeze_copy_dims_112 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_415, [-1]), kwargs = {}) 2025-06-05T23:27:03.2130127Z %aten_view_copy_default_180 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_110, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.2130766Z %aten_view_copy_default_181 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_111, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.2131390Z %aten_view_copy_default_182 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_112, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.2132024Z %aten_view_copy_default_183 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_180, [1, 1, 12, -1, 2]), kwargs = {}) 2025-06-05T23:27:03.2132701Z %aten_view_copy_default_184 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_181, [1, 1, 12, -1, 2]), kwargs = {}) 2025-06-05T23:27:03.2133554Z %aten_index_put_default_21 : [num_users=13] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%b_layers_10_attention_kv_cache_past_v_caches, [None, %aten__to_copy_default_1], %aten_view_copy_default_182), kwargs = {}) 2025-06-05T23:27:03.2134180Z %aten_slice_copy_tensor_40 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_183, 4, 0, 1), kwargs = {}) 2025-06-05T23:27:03.2134798Z %aten_slice_copy_tensor_41 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_183, 4, 1, 2), kwargs = {}) 2025-06-05T23:27:03.2135394Z %aten_slice_copy_tensor_42 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_184, 4, 0, 1), kwargs = {}) 2025-06-05T23:27:03.2136033Z %aten_slice_copy_tensor_43 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_184, 4, 1, 2), kwargs = {}) 2025-06-05T23:27:03.2136684Z %aten_permute_copy_default_429 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_21, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2137330Z %aten_permute_copy_default_430 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_21, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2137988Z %aten_permute_copy_default_431 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_21, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2138636Z %aten_permute_copy_default_432 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_21, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2139279Z %aten_permute_copy_default_433 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_21, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2139940Z %aten_permute_copy_default_434 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_21, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2140609Z %aten_permute_copy_default_435 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_21, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2141269Z %aten_permute_copy_default_436 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_21, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2141916Z %aten_permute_copy_default_437 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_21, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2142560Z %aten_permute_copy_default_438 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_21, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2143221Z %aten_permute_copy_default_439 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_21, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2143866Z %aten_permute_copy_default_440 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_21, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2144489Z %aten_squeeze_copy_dims_113 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_40, [4]), kwargs = {}) 2025-06-05T23:27:03.2145121Z %aten_squeeze_copy_dims_114 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_41, [4]), kwargs = {}) 2025-06-05T23:27:03.2145714Z %aten_squeeze_copy_dims_115 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_42, [4]), kwargs = {}) 2025-06-05T23:27:03.2146307Z %aten_squeeze_copy_dims_116 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_43, [4]), kwargs = {}) 2025-06-05T23:27:03.2146903Z %aten_select_copy_int_504 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_429, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2147529Z %aten_select_copy_int_506 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_430, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2148129Z %aten_select_copy_int_508 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_431, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2148714Z %aten_select_copy_int_510 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_432, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2149298Z %aten_select_copy_int_512 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_433, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2149899Z %aten_select_copy_int_514 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_434, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2150487Z %aten_select_copy_int_516 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_435, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2151147Z %aten_select_copy_int_518 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_436, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2151778Z %aten_select_copy_int_520 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_437, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2152363Z %aten_select_copy_int_522 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_438, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2152949Z %aten_select_copy_int_524 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_439, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2153548Z %aten_select_copy_int_526 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_440, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2154174Z %aten_mul_tensor_152 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_113, %aten_view_copy_default_185), kwargs = {}) 2025-06-05T23:27:03.2154808Z %aten_mul_tensor_154 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_113, %aten_view_copy_default_186), kwargs = {}) 2025-06-05T23:27:03.2155428Z %aten_mul_tensor_153 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_114, %aten_view_copy_default_186), kwargs = {}) 2025-06-05T23:27:03.2156081Z %aten_mul_tensor_155 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_114, %aten_view_copy_default_185), kwargs = {}) 2025-06-05T23:27:03.2156748Z %aten_mul_tensor_156 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_115, %aten_view_copy_default_185), kwargs = {}) 2025-06-05T23:27:03.2157371Z %aten_mul_tensor_158 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_115, %aten_view_copy_default_186), kwargs = {}) 2025-06-05T23:27:03.2157991Z %aten_mul_tensor_157 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_116, %aten_view_copy_default_186), kwargs = {}) 2025-06-05T23:27:03.2158731Z %aten_mul_tensor_159 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_116, %aten_view_copy_default_185), kwargs = {}) 2025-06-05T23:27:03.2159307Z %aten_select_copy_int_505 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_504, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2159881Z %aten_select_copy_int_507 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_506, 0, 1), kwargs = {}) 2025-06-05T23:27:03.2160465Z %aten_select_copy_int_509 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_508, 0, 2), kwargs = {}) 2025-06-05T23:27:03.2161037Z %aten_select_copy_int_511 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_510, 0, 3), kwargs = {}) 2025-06-05T23:27:03.2161628Z %aten_select_copy_int_513 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_512, 0, 4), kwargs = {}) 2025-06-05T23:27:03.2162201Z %aten_select_copy_int_515 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_514, 0, 5), kwargs = {}) 2025-06-05T23:27:03.2162774Z %aten_select_copy_int_517 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_516, 0, 6), kwargs = {}) 2025-06-05T23:27:03.2163387Z %aten_select_copy_int_519 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_518, 0, 7), kwargs = {}) 2025-06-05T23:27:03.2163957Z %aten_select_copy_int_521 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_520, 0, 8), kwargs = {}) 2025-06-05T23:27:03.2164529Z %aten_select_copy_int_523 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_522, 0, 9), kwargs = {}) 2025-06-05T23:27:03.2165116Z %aten_select_copy_int_525 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_524, 0, 10), kwargs = {}) 2025-06-05T23:27:03.2165687Z %aten_select_copy_int_527 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_526, 0, 11), kwargs = {}) 2025-06-05T23:27:03.2166252Z %aten_sub_tensor_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_152, %aten_mul_tensor_153), kwargs = {}) 2025-06-05T23:27:03.2166824Z %aten_add_tensor_50 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_154, %aten_mul_tensor_155), kwargs = {}) 2025-06-05T23:27:03.2167415Z %aten_sub_tensor_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_156, %aten_mul_tensor_157), kwargs = {}) 2025-06-05T23:27:03.2168010Z %aten_add_tensor_51 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_158, %aten_mul_tensor_159), kwargs = {}) 2025-06-05T23:27:03.2169504Z %aten_cat_default_43 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_select_copy_int_505, %aten_select_copy_int_507, %aten_select_copy_int_509, %aten_select_copy_int_511, %aten_select_copy_int_513, %aten_select_copy_int_515, %aten_select_copy_int_517, %aten_select_copy_int_519, %aten_select_copy_int_521, %aten_select_copy_int_523, %aten_select_copy_int_525, %aten_select_copy_int_527],), kwargs = {}) 2025-06-05T23:27:03.2170151Z %aten_unsqueeze_copy_default_113 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_20, 4), kwargs = {}) 2025-06-05T23:27:03.2170774Z %aten_unsqueeze_copy_default_114 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_50, 4), kwargs = {}) 2025-06-05T23:27:03.2171385Z %aten_unsqueeze_copy_default_115 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_21, 4), kwargs = {}) 2025-06-05T23:27:03.2171998Z %aten_unsqueeze_copy_default_116 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_51, 4), kwargs = {}) 2025-06-05T23:27:03.2172612Z %aten_view_copy_default_190 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_43, [1, 12, 128, 64]), kwargs = {}) 2025-06-05T23:27:03.2173499Z %aten_cat_default_40 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_113, %aten_unsqueeze_copy_default_114], -1), kwargs = {}) 2025-06-05T23:27:03.2174203Z %aten_cat_default_41 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_115, %aten_unsqueeze_copy_default_116], -1), kwargs = {}) 2025-06-05T23:27:03.2174885Z %aten_view_copy_default_187 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_40, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.2175484Z %aten_view_copy_default_188 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_41, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.2176160Z %aten_permute_copy_default_416 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_187, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2177008Z %aten_index_put_default_20 : [num_users=13] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%b_layers_10_attention_kv_cache_past_k_caches, [None, %aten__to_copy_default_1], %aten_view_copy_default_188), kwargs = {}) 2025-06-05T23:27:03.2177658Z %aten_permute_copy_default_417 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_20, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2178319Z %aten_permute_copy_default_418 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_20, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2178964Z %aten_permute_copy_default_419 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_20, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2179661Z %aten_permute_copy_default_420 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_20, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2180342Z %aten_permute_copy_default_421 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_20, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2180989Z %aten_permute_copy_default_422 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_20, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2181645Z %aten_permute_copy_default_423 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_20, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2182325Z %aten_permute_copy_default_424 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_20, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2182967Z %aten_permute_copy_default_425 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_20, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2183633Z %aten_permute_copy_default_426 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_20, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2184276Z %aten_permute_copy_default_427 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_20, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2184940Z %aten_permute_copy_default_428 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_20, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2185529Z %aten_select_copy_int_480 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_417, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2186117Z %aten_select_copy_int_482 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_418, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2186739Z %aten_select_copy_int_484 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_419, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2187327Z %aten_select_copy_int_486 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_420, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2187918Z %aten_select_copy_int_488 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_421, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2188518Z %aten_select_copy_int_490 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_422, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2189100Z %aten_select_copy_int_492 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_423, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2189689Z %aten_select_copy_int_494 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_424, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2190284Z %aten_select_copy_int_496 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_425, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2190964Z %aten_select_copy_int_498 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_426, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2191590Z %aten_select_copy_int_500 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_427, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2192245Z %aten_select_copy_int_502 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_428, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2192825Z %aten_select_copy_int_481 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_480, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2193441Z %aten_select_copy_int_483 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_482, 0, 1), kwargs = {}) 2025-06-05T23:27:03.2194009Z %aten_select_copy_int_485 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_484, 0, 2), kwargs = {}) 2025-06-05T23:27:03.2194580Z %aten_select_copy_int_487 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_486, 0, 3), kwargs = {}) 2025-06-05T23:27:03.2195162Z %aten_select_copy_int_489 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_488, 0, 4), kwargs = {}) 2025-06-05T23:27:03.2195731Z %aten_select_copy_int_491 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_490, 0, 5), kwargs = {}) 2025-06-05T23:27:03.2196306Z %aten_select_copy_int_493 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_492, 0, 6), kwargs = {}) 2025-06-05T23:27:03.2196885Z %aten_select_copy_int_495 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_494, 0, 7), kwargs = {}) 2025-06-05T23:27:03.2197455Z %aten_select_copy_int_497 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_496, 0, 8), kwargs = {}) 2025-06-05T23:27:03.2198058Z %aten_select_copy_int_499 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_498, 0, 9), kwargs = {}) 2025-06-05T23:27:03.2198629Z %aten_select_copy_int_501 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_500, 0, 10), kwargs = {}) 2025-06-05T23:27:03.2199204Z %aten_select_copy_int_503 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_502, 0, 11), kwargs = {}) 2025-06-05T23:27:03.2200823Z %aten_cat_default_42 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_select_copy_int_481, %aten_select_copy_int_483, %aten_select_copy_int_485, %aten_select_copy_int_487, %aten_select_copy_int_489, %aten_select_copy_int_491, %aten_select_copy_int_493, %aten_select_copy_int_495, %aten_select_copy_int_497, %aten_select_copy_int_499, %aten_select_copy_int_501, %aten_select_copy_int_503],), kwargs = {}) 2025-06-05T23:27:03.2201435Z %aten_view_copy_default_189 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_42, [1, 12, 128, 64]), kwargs = {}) 2025-06-05T23:27:03.2202086Z %aten_permute_copy_default_441 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_189, [0, 1, 3, 2]), kwargs = {}) 2025-06-05T23:27:03.2202827Z %aten_matmul_default_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.matmul.default](args = (%aten_permute_copy_default_416, %aten_permute_copy_default_441), kwargs = {}) 2025-06-05T23:27:03.2203582Z %aten_mul_tensor_160 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_matmul_default_20, %quantized_decomposed_dequantize_per_tensor_default_2360), kwargs = {}) 2025-06-05T23:27:03.2204160Z %aten_add_tensor_52 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_160, %aten_index_tensor_12), kwargs = {}) 2025-06-05T23:27:03.2204743Z %aten__softmax_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._softmax.default](args = (%aten_add_tensor_52, -1, False), kwargs = {}) 2025-06-05T23:27:03.2205424Z %aten_matmul_default_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.matmul.default](args = (%aten__softmax_default_10, %aten_view_copy_default_190), kwargs = {}) 2025-06-05T23:27:03.2206078Z %aten_permute_copy_default_442 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_matmul_default_21, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2206703Z %aten_view_copy_default_197 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_permute_copy_default_442, [1, 1, 768]), kwargs = {}) 2025-06-05T23:27:03.2207350Z %aten_unsqueeze_copy_default_117 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_view_copy_default_197, -1), kwargs = {}) 2025-06-05T23:27:03.2208042Z %aten_permute_copy_default_443 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_117, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2209023Z %aten_convolution_default_73 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_443, %quantized_decomposed_dequantize_per_tensor_default_95, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.2209697Z %aten_permute_copy_default_444 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_73, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2210332Z %aten_squeeze_copy_dims_117 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_444, [-1]), kwargs = {}) 2025-06-05T23:27:03.2210915Z %aten_add_tensor_53 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_49, %aten_squeeze_copy_dims_117), kwargs = {}) 2025-06-05T23:27:03.2211763Z %aten_rms_norm_default_21 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.rms_norm.default](args = (%aten_add_tensor_53, [768], %quantized_decomposed_dequantize_per_tensor_default_96, 9.999999747378752e-06), kwargs = {}) 2025-06-05T23:27:03.2212401Z %aten_unsqueeze_copy_default_118 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_21, -1), kwargs = {}) 2025-06-05T23:27:03.2213037Z %aten_unsqueeze_copy_default_119 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_21, -1), kwargs = {}) 2025-06-05T23:27:03.2213728Z %aten_permute_copy_default_445 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_118, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2214439Z %aten_permute_copy_default_447 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_119, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2215459Z %aten_convolution_default_74 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_445, %quantized_decomposed_dequantize_per_tensor_default_97, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.2216439Z %aten_convolution_default_75 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_447, %quantized_decomposed_dequantize_per_tensor_default_98, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.2217132Z %aten_permute_copy_default_446 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_74, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2217802Z %aten_permute_copy_default_448 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_75, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2218413Z %aten_squeeze_copy_dims_118 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_446, [-1]), kwargs = {}) 2025-06-05T23:27:03.2219020Z %aten_squeeze_copy_dims_119 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_448, [-1]), kwargs = {}) 2025-06-05T23:27:03.2219608Z %aten_sigmoid_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sigmoid.default](args = (%aten_squeeze_copy_dims_118,), kwargs = {}) 2025-06-05T23:27:03.2220226Z %aten_mul_tensor_163 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_118, %aten_sigmoid_default_10), kwargs = {}) 2025-06-05T23:27:03.2220834Z %aten_mul_tensor_164 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_163, %aten_squeeze_copy_dims_119), kwargs = {}) 2025-06-05T23:27:03.2221458Z %aten_unsqueeze_copy_default_120 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_mul_tensor_164, -1), kwargs = {}) 2025-06-05T23:27:03.2222161Z %aten_permute_copy_default_449 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_120, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2223151Z %aten_convolution_default_76 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_449, %quantized_decomposed_dequantize_per_tensor_default_99, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.2223811Z %aten_permute_copy_default_450 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_76, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2224418Z %aten_squeeze_copy_dims_120 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_450, [-1]), kwargs = {}) 2025-06-05T23:27:03.2225013Z %aten_add_tensor_54 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_53, %aten_squeeze_copy_dims_120), kwargs = {}) 2025-06-05T23:27:03.2225844Z %aten_rms_norm_default_22 : [num_users=3] = call_function[target=executorch.exir.dialects.edge._ops.aten.rms_norm.default](args = (%aten_add_tensor_54, [768], %quantized_decomposed_dequantize_per_tensor_default_100, 9.999999747378752e-06), kwargs = {}) 2025-06-05T23:27:03.2226523Z %aten_unsqueeze_copy_default_121 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_22, -1), kwargs = {}) 2025-06-05T23:27:03.2227185Z %aten_unsqueeze_copy_default_122 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_22, -1), kwargs = {}) 2025-06-05T23:27:03.2227819Z %aten_unsqueeze_copy_default_123 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_22, -1), kwargs = {}) 2025-06-05T23:27:03.2228503Z %aten_permute_copy_default_451 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_121, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2229210Z %aten_permute_copy_default_453 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_122, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2229882Z %aten_permute_copy_default_455 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_123, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2230958Z %aten_convolution_default_77 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_451, %quantized_decomposed_dequantize_per_tensor_default_101, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.2231942Z %aten_convolution_default_78 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_453, %quantized_decomposed_dequantize_per_tensor_default_102, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.2232934Z %aten_convolution_default_79 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_455, %quantized_decomposed_dequantize_per_tensor_default_103, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.2233597Z %aten_permute_copy_default_452 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_77, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2234293Z %aten_permute_copy_default_454 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_78, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2234964Z %aten_permute_copy_default_456 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_79, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2235575Z %aten_squeeze_copy_dims_121 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_452, [-1]), kwargs = {}) 2025-06-05T23:27:03.2236199Z %aten_squeeze_copy_dims_122 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_454, [-1]), kwargs = {}) 2025-06-05T23:27:03.2236811Z %aten_squeeze_copy_dims_123 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_456, [-1]), kwargs = {}) 2025-06-05T23:27:03.2237435Z %aten_view_copy_default_198 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_121, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.2238108Z %aten_view_copy_default_199 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_122, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.2238731Z %aten_view_copy_default_200 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_squeeze_copy_dims_123, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.2239385Z %aten_view_copy_default_201 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_198, [1, 1, 12, -1, 2]), kwargs = {}) 2025-06-05T23:27:03.2240034Z %aten_view_copy_default_202 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_199, [1, 1, 12, -1, 2]), kwargs = {}) 2025-06-05T23:27:03.2240890Z %aten_index_put_default_23 : [num_users=13] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%b_layers_11_attention_kv_cache_past_v_caches, [None, %aten__to_copy_default_1], %aten_view_copy_default_200), kwargs = {}) 2025-06-05T23:27:03.2241525Z %aten_slice_copy_tensor_44 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_201, 4, 0, 1), kwargs = {}) 2025-06-05T23:27:03.2242123Z %aten_slice_copy_tensor_45 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_201, 4, 1, 2), kwargs = {}) 2025-06-05T23:27:03.2242722Z %aten_slice_copy_tensor_46 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_202, 4, 0, 1), kwargs = {}) 2025-06-05T23:27:03.2243330Z %aten_slice_copy_tensor_47 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.slice_copy.Tensor](args = (%aten_view_copy_default_202, 4, 1, 2), kwargs = {}) 2025-06-05T23:27:03.2243979Z %aten_permute_copy_default_470 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_23, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2244626Z %aten_permute_copy_default_471 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_23, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2245280Z %aten_permute_copy_default_472 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_23, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2245959Z %aten_permute_copy_default_473 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_23, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2246604Z %aten_permute_copy_default_474 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_23, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2247261Z %aten_permute_copy_default_475 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_23, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2247906Z %aten_permute_copy_default_476 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_23, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2248563Z %aten_permute_copy_default_477 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_23, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2249206Z %aten_permute_copy_default_478 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_23, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2249878Z %aten_permute_copy_default_479 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_23, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2250556Z %aten_permute_copy_default_480 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_23, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2251203Z %aten_permute_copy_default_481 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_23, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2251798Z %aten_squeeze_copy_dims_124 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_44, [4]), kwargs = {}) 2025-06-05T23:27:03.2252426Z %aten_squeeze_copy_dims_125 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_45, [4]), kwargs = {}) 2025-06-05T23:27:03.2253019Z %aten_squeeze_copy_dims_126 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_46, [4]), kwargs = {}) 2025-06-05T23:27:03.2253623Z %aten_squeeze_copy_dims_127 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_slice_copy_tensor_47, [4]), kwargs = {}) 2025-06-05T23:27:03.2254215Z %aten_select_copy_int_552 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_470, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2254803Z %aten_select_copy_int_554 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_471, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2255411Z %aten_select_copy_int_556 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_472, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2255995Z %aten_select_copy_int_558 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_473, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2256580Z %aten_select_copy_int_560 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_474, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2257202Z %aten_select_copy_int_562 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_475, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2257788Z %aten_select_copy_int_564 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_476, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2258375Z %aten_select_copy_int_566 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_477, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2258970Z %aten_select_copy_int_568 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_478, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2259551Z %aten_select_copy_int_570 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_479, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2260138Z %aten_select_copy_int_572 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_480, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2260736Z %aten_select_copy_int_574 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_481, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2261383Z %aten_mul_tensor_167 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_124, %aten_view_copy_default_203), kwargs = {}) 2025-06-05T23:27:03.2262046Z %aten_mul_tensor_169 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_124, %aten_view_copy_default_204), kwargs = {}) 2025-06-05T23:27:03.2262666Z %aten_mul_tensor_168 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_125, %aten_view_copy_default_204), kwargs = {}) 2025-06-05T23:27:03.2263285Z %aten_mul_tensor_170 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_125, %aten_view_copy_default_203), kwargs = {}) 2025-06-05T23:27:03.2263942Z %aten_mul_tensor_171 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_126, %aten_view_copy_default_203), kwargs = {}) 2025-06-05T23:27:03.2264557Z %aten_mul_tensor_173 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_126, %aten_view_copy_default_204), kwargs = {}) 2025-06-05T23:27:03.2265172Z %aten_mul_tensor_172 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_127, %aten_view_copy_default_204), kwargs = {}) 2025-06-05T23:27:03.2265804Z %aten_mul_tensor_174 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_127, %aten_view_copy_default_203), kwargs = {}) 2025-06-05T23:27:03.2266374Z %aten_select_copy_int_553 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_552, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2266962Z %aten_select_copy_int_555 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_554, 0, 1), kwargs = {}) 2025-06-05T23:27:03.2267534Z %aten_select_copy_int_557 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_556, 0, 2), kwargs = {}) 2025-06-05T23:27:03.2268125Z %aten_select_copy_int_559 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_558, 0, 3), kwargs = {}) 2025-06-05T23:27:03.2268705Z %aten_select_copy_int_561 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_560, 0, 4), kwargs = {}) 2025-06-05T23:27:03.2269272Z %aten_select_copy_int_563 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_562, 0, 5), kwargs = {}) 2025-06-05T23:27:03.2269844Z %aten_select_copy_int_565 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_564, 0, 6), kwargs = {}) 2025-06-05T23:27:03.2270426Z %aten_select_copy_int_567 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_566, 0, 7), kwargs = {}) 2025-06-05T23:27:03.2271061Z %aten_select_copy_int_569 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_568, 0, 8), kwargs = {}) 2025-06-05T23:27:03.2271631Z %aten_select_copy_int_571 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_570, 0, 9), kwargs = {}) 2025-06-05T23:27:03.2272256Z %aten_select_copy_int_573 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_572, 0, 10), kwargs = {}) 2025-06-05T23:27:03.2273045Z %aten_select_copy_int_575 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_574, 0, 11), kwargs = {}) 2025-06-05T23:27:03.2273718Z %aten_sub_tensor_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_167, %aten_mul_tensor_168), kwargs = {}) 2025-06-05T23:27:03.2274281Z %aten_add_tensor_55 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_169, %aten_mul_tensor_170), kwargs = {}) 2025-06-05T23:27:03.2274847Z %aten_sub_tensor_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_171, %aten_mul_tensor_172), kwargs = {}) 2025-06-05T23:27:03.2275484Z %aten_add_tensor_56 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_173, %aten_mul_tensor_174), kwargs = {}) 2025-06-05T23:27:03.2276980Z %aten_cat_default_47 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_select_copy_int_553, %aten_select_copy_int_555, %aten_select_copy_int_557, %aten_select_copy_int_559, %aten_select_copy_int_561, %aten_select_copy_int_563, %aten_select_copy_int_565, %aten_select_copy_int_567, %aten_select_copy_int_569, %aten_select_copy_int_571, %aten_select_copy_int_573, %aten_select_copy_int_575],), kwargs = {}) 2025-06-05T23:27:03.2277606Z %aten_unsqueeze_copy_default_124 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_22, 4), kwargs = {}) 2025-06-05T23:27:03.2278237Z %aten_unsqueeze_copy_default_125 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_55, 4), kwargs = {}) 2025-06-05T23:27:03.2278857Z %aten_unsqueeze_copy_default_126 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_23, 4), kwargs = {}) 2025-06-05T23:27:03.2279486Z %aten_unsqueeze_copy_default_127 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_56, 4), kwargs = {}) 2025-06-05T23:27:03.2280134Z %aten_view_copy_default_208 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_47, [1, 12, 128, 64]), kwargs = {}) 2025-06-05T23:27:03.2280827Z %aten_cat_default_44 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_124, %aten_unsqueeze_copy_default_125], -1), kwargs = {}) 2025-06-05T23:27:03.2281530Z %aten_cat_default_45 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_126, %aten_unsqueeze_copy_default_127], -1), kwargs = {}) 2025-06-05T23:27:03.2282132Z %aten_view_copy_default_205 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_44, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.2282729Z %aten_view_copy_default_206 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_45, [1, 1, 12, 64]), kwargs = {}) 2025-06-05T23:27:03.2283399Z %aten_permute_copy_default_457 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_205, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2284291Z %aten_index_put_default_22 : [num_users=13] = call_function[target=executorch.exir.dialects.edge._ops.aten.index_put.default](args = (%b_layers_11_attention_kv_cache_past_k_caches, [None, %aten__to_copy_default_1], %aten_view_copy_default_206), kwargs = {}) 2025-06-05T23:27:03.2284959Z %aten_permute_copy_default_458 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_22, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2285632Z %aten_permute_copy_default_459 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_22, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2286283Z %aten_permute_copy_default_460 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_22, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2286945Z %aten_permute_copy_default_461 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_22, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2287634Z %aten_permute_copy_default_462 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_22, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2288281Z %aten_permute_copy_default_463 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_22, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2288939Z %aten_permute_copy_default_464 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_22, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2289581Z %aten_permute_copy_default_465 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_22, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2290231Z %aten_permute_copy_default_466 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_22, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2290892Z %aten_permute_copy_default_467 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_22, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2291633Z %aten_permute_copy_default_468 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_22, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2292320Z %aten_permute_copy_default_469 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_index_put_default_22, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2292984Z %aten_select_copy_int_528 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_458, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2293573Z %aten_select_copy_int_530 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_459, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2294169Z %aten_select_copy_int_532 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_460, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2294754Z %aten_select_copy_int_534 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_461, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2295338Z %aten_select_copy_int_536 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_462, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2295970Z %aten_select_copy_int_538 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_463, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2296556Z %aten_select_copy_int_540 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_464, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2297180Z %aten_select_copy_int_542 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_465, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2297764Z %aten_select_copy_int_544 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_466, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2298352Z %aten_select_copy_int_546 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_467, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2298972Z %aten_select_copy_int_548 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_468, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2299558Z %aten_select_copy_int_550 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_permute_copy_default_469, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2300127Z %aten_select_copy_int_529 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_528, 0, 0), kwargs = {}) 2025-06-05T23:27:03.2300706Z %aten_select_copy_int_531 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_530, 0, 1), kwargs = {}) 2025-06-05T23:27:03.2301277Z %aten_select_copy_int_533 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_532, 0, 2), kwargs = {}) 2025-06-05T23:27:03.2301864Z %aten_select_copy_int_535 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_534, 0, 3), kwargs = {}) 2025-06-05T23:27:03.2302691Z %aten_select_copy_int_537 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_536, 0, 4), kwargs = {}) 2025-06-05T23:27:03.2303300Z %aten_select_copy_int_539 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_538, 0, 5), kwargs = {}) 2025-06-05T23:27:03.2303928Z %aten_select_copy_int_541 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_540, 0, 6), kwargs = {}) 2025-06-05T23:27:03.2304508Z %aten_select_copy_int_543 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_542, 0, 7), kwargs = {}) 2025-06-05T23:27:03.2305082Z %aten_select_copy_int_545 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_544, 0, 8), kwargs = {}) 2025-06-05T23:27:03.2305664Z %aten_select_copy_int_547 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_546, 0, 9), kwargs = {}) 2025-06-05T23:27:03.2306236Z %aten_select_copy_int_549 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_548, 0, 10), kwargs = {}) 2025-06-05T23:27:03.2306805Z %aten_select_copy_int_551 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_select_copy_int_550, 0, 11), kwargs = {}) 2025-06-05T23:27:03.2308334Z %aten_cat_default_46 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_select_copy_int_529, %aten_select_copy_int_531, %aten_select_copy_int_533, %aten_select_copy_int_535, %aten_select_copy_int_537, %aten_select_copy_int_539, %aten_select_copy_int_541, %aten_select_copy_int_543, %aten_select_copy_int_545, %aten_select_copy_int_547, %aten_select_copy_int_549, %aten_select_copy_int_551],), kwargs = {}) 2025-06-05T23:27:03.2308968Z %aten_view_copy_default_207 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_46, [1, 12, 128, 64]), kwargs = {}) 2025-06-05T23:27:03.2309634Z %aten_permute_copy_default_482 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_207, [0, 1, 3, 2]), kwargs = {}) 2025-06-05T23:27:03.2310322Z %aten_matmul_default_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.matmul.default](args = (%aten_permute_copy_default_457, %aten_permute_copy_default_482), kwargs = {}) 2025-06-05T23:27:03.2311155Z %aten_mul_tensor_175 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_matmul_default_22, %quantized_decomposed_dequantize_per_tensor_default_2562), kwargs = {}) 2025-06-05T23:27:03.2311741Z %aten_add_tensor_57 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_175, %aten_index_tensor_13), kwargs = {}) 2025-06-05T23:27:03.2312324Z %aten__softmax_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten._softmax.default](args = (%aten_add_tensor_57, -1, False), kwargs = {}) 2025-06-05T23:27:03.2312977Z %aten_matmul_default_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.matmul.default](args = (%aten__softmax_default_11, %aten_view_copy_default_208), kwargs = {}) 2025-06-05T23:27:03.2313632Z %aten_permute_copy_default_483 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_matmul_default_23, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2314256Z %aten_view_copy_default_215 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_permute_copy_default_483, [1, 1, 768]), kwargs = {}) 2025-06-05T23:27:03.2314904Z %aten_unsqueeze_copy_default_128 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_view_copy_default_215, -1), kwargs = {}) 2025-06-05T23:27:03.2315630Z %aten_permute_copy_default_484 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_128, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2316623Z %aten_convolution_default_80 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_484, %quantized_decomposed_dequantize_per_tensor_default_104, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.2317300Z %aten_permute_copy_default_485 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_80, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2317910Z %aten_squeeze_copy_dims_128 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_485, [-1]), kwargs = {}) 2025-06-05T23:27:03.2318497Z %aten_add_tensor_58 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_54, %aten_squeeze_copy_dims_128), kwargs = {}) 2025-06-05T23:27:03.2319341Z %aten_rms_norm_default_23 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.rms_norm.default](args = (%aten_add_tensor_58, [768], %quantized_decomposed_dequantize_per_tensor_default_105, 9.999999747378752e-06), kwargs = {}) 2025-06-05T23:27:03.2320005Z %aten_unsqueeze_copy_default_129 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_23, -1), kwargs = {}) 2025-06-05T23:27:03.2320668Z %aten_unsqueeze_copy_default_130 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_rms_norm_default_23, -1), kwargs = {}) 2025-06-05T23:27:03.2321359Z %aten_permute_copy_default_486 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_129, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2322031Z %aten_permute_copy_default_488 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_130, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2323057Z %aten_convolution_default_81 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_486, %quantized_decomposed_dequantize_per_tensor_default_106, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.2324044Z %aten_convolution_default_82 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_488, %quantized_decomposed_dequantize_per_tensor_default_107, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.2324704Z %aten_permute_copy_default_487 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_81, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2325372Z %aten_permute_copy_default_489 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_82, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2325986Z %aten_squeeze_copy_dims_129 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_487, [-1]), kwargs = {}) 2025-06-05T23:27:03.2326607Z %aten_squeeze_copy_dims_130 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_489, [-1]), kwargs = {}) 2025-06-05T23:27:03.2327208Z %aten_sigmoid_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sigmoid.default](args = (%aten_squeeze_copy_dims_129,), kwargs = {}) 2025-06-05T23:27:03.2327820Z %aten_mul_tensor_178 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_squeeze_copy_dims_129, %aten_sigmoid_default_11), kwargs = {}) 2025-06-05T23:27:03.2328427Z %aten_mul_tensor_179 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_178, %aten_squeeze_copy_dims_130), kwargs = {}) 2025-06-05T23:27:03.2329048Z %aten_unsqueeze_copy_default_131 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_mul_tensor_179, -1), kwargs = {}) 2025-06-05T23:27:03.2329721Z %aten_permute_copy_default_490 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_unsqueeze_copy_default_131, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2330722Z %aten_convolution_default_83 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_490, %quantized_decomposed_dequantize_per_tensor_default_108, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.2331408Z %aten_permute_copy_default_491 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_83, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2332028Z %aten_squeeze_copy_dims_131 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.squeeze_copy.dims](args = (%aten_permute_copy_default_491, [-1]), kwargs = {}) 2025-06-05T23:27:03.2332658Z %aten_add_tensor_59 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_58, %aten_squeeze_copy_dims_131), kwargs = {}) 2025-06-05T23:27:03.2333219Z %aten_select_copy_int_576 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_add_tensor_59, 1, -1), kwargs = {}) 2025-06-05T23:27:03.2334089Z %aten_rms_norm_default_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.rms_norm.default](args = (%aten_select_copy_int_576, [768], %quantized_decomposed_dequantize_per_tensor_default_109, 9.999999747378752e-06), kwargs = {}) 2025-06-05T23:27:03.2334731Z %aten_view_copy_default_216 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_rms_norm_default_24, [1, 1, 768, 1]), kwargs = {}) 2025-06-05T23:27:03.2335381Z %aten_permute_copy_default_492 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_view_copy_default_216, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2336381Z %aten_convolution_default_84 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_492, %quantized_decomposed_dequantize_per_tensor_default_110, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-06-05T23:27:03.2337041Z %aten_permute_copy_default_493 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%aten_convolution_default_84, [0, 2, 1, 3]), kwargs = {}) 2025-06-05T23:27:03.2337681Z %aten_view_copy_default_217 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_permute_copy_default_493, [1, 32000]), kwargs = {}) 2025-06-05T23:27:03.2339935Z return [aten_index_put_default_1, aten_index_put_default, aten_index_put_default_3, aten_index_put_default_2, aten_index_put_default_5, aten_index_put_default_4, aten_index_put_default_7, aten_index_put_default_6, aten_index_put_default_9, aten_index_put_default_8, aten_index_put_default_11, aten_index_put_default_10, aten_index_put_default_13, aten_index_put_default_12, aten_index_put_default_15, aten_index_put_default_14, aten_index_put_default_17, aten_index_put_default_16, aten_index_put_default_19, aten_index_put_default_18, aten_index_put_default_21, aten_index_put_default_20, aten_index_put_default_23, aten_index_put_default_22, aten_view_copy_default_217] 2025-06-05T23:27:03.2344393Z %executorch_call_delegate : [num_users=25] = call_function[target=torch.ops.higher_order.executorch_call_delegate](args = (%lowered_module_0, %tokens, %attn_options_input_pos, %b_layers_0_attention_kv_cache_past_v_caches, %b_layers_0_attention_kv_cache_past_k_caches, %b_layers_1_attention_kv_cache_past_v_caches, %b_layers_1_attention_kv_cache_past_k_caches, %b_layers_2_attention_kv_cache_past_v_caches, %b_layers_2_attention_kv_cache_past_k_caches, %b_layers_3_attention_kv_cache_past_v_caches, %b_layers_3_attention_kv_cache_past_k_caches, %b_layers_4_attention_kv_cache_past_v_caches, %b_layers_4_attention_kv_cache_past_k_caches, %b_layers_5_attention_kv_cache_past_v_caches, %b_layers_5_attention_kv_cache_past_k_caches, %b_layers_6_attention_kv_cache_past_v_caches, %b_layers_6_attention_kv_cache_past_k_caches, %b_layers_7_attention_kv_cache_past_v_caches, %b_layers_7_attention_kv_cache_past_k_caches, %b_layers_8_attention_kv_cache_past_v_caches, %b_layers_8_attention_kv_cache_past_k_caches, %b_layers_9_attention_kv_cache_past_v_caches, %b_layers_9_attention_kv_cache_past_k_caches, %b_layers_10_attention_kv_cache_past_v_caches, %b_layers_10_attention_kv_cache_past_k_caches, %b_layers_11_attention_kv_cache_past_v_caches, %b_layers_11_attention_kv_cache_past_k_caches), kwargs = {}) 2025-06-05T23:27:03.2344855Z %getitem : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 0), kwargs = {}) 2025-06-05T23:27:03.2345226Z %getitem_1 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 1), kwargs = {}) 2025-06-05T23:27:03.2345583Z %getitem_2 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 2), kwargs = {}) 2025-06-05T23:27:03.2345939Z %getitem_3 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 3), kwargs = {}) 2025-06-05T23:27:03.2346304Z %getitem_4 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 4), kwargs = {}) 2025-06-05T23:27:03.2346686Z %getitem_5 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 5), kwargs = {}) 2025-06-05T23:27:03.2347038Z %getitem_6 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 6), kwargs = {}) 2025-06-05T23:27:03.2347407Z %getitem_7 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 7), kwargs = {}) 2025-06-05T23:27:03.2347761Z %getitem_8 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 8), kwargs = {}) 2025-06-05T23:27:03.2348116Z %getitem_9 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 9), kwargs = {}) 2025-06-05T23:27:03.2348490Z %getitem_10 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 10), kwargs = {}) 2025-06-05T23:27:03.2348849Z %getitem_11 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 11), kwargs = {}) 2025-06-05T23:27:03.2349208Z %getitem_12 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 12), kwargs = {}) 2025-06-05T23:27:03.2349577Z %getitem_13 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 13), kwargs = {}) 2025-06-05T23:27:03.2349935Z %getitem_14 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 14), kwargs = {}) 2025-06-05T23:27:03.2350288Z %getitem_15 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 15), kwargs = {}) 2025-06-05T23:27:03.2350683Z %getitem_16 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 16), kwargs = {}) 2025-06-05T23:27:03.2351119Z %getitem_17 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 17), kwargs = {}) 2025-06-05T23:27:03.2351481Z %getitem_18 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 18), kwargs = {}) 2025-06-05T23:27:03.2351851Z %getitem_19 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 19), kwargs = {}) 2025-06-05T23:27:03.2352210Z %getitem_20 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 20), kwargs = {}) 2025-06-05T23:27:03.2352563Z %getitem_21 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 21), kwargs = {}) 2025-06-05T23:27:03.2352932Z %getitem_22 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 22), kwargs = {}) 2025-06-05T23:27:03.2353289Z %getitem_23 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 23), kwargs = {}) 2025-06-05T23:27:03.2353644Z %getitem_24 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 24), kwargs = {}) 2025-06-05T23:27:03.2354327Z %aten_copy_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.copy.default](args = (%b_layers_0_attention_kv_cache_past_v_caches, %getitem), kwargs = {}) 2025-06-05T23:27:03.2355032Z %aten_copy_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.copy.default](args = (%b_layers_0_attention_kv_cache_past_k_caches, %getitem_1), kwargs = {}) 2025-06-05T23:27:03.2355716Z %aten_copy_default_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.copy.default](args = (%b_layers_1_attention_kv_cache_past_v_caches, %getitem_2), kwargs = {}) 2025-06-05T23:27:03.2356358Z %aten_copy_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.copy.default](args = (%b_layers_1_attention_kv_cache_past_k_caches, %getitem_3), kwargs = {}) 2025-06-05T23:27:03.2356998Z %aten_copy_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.copy.default](args = (%b_layers_2_attention_kv_cache_past_v_caches, %getitem_4), kwargs = {}) 2025-06-05T23:27:03.2357685Z %aten_copy_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.copy.default](args = (%b_layers_2_attention_kv_cache_past_k_caches, %getitem_5), kwargs = {}) 2025-06-05T23:27:03.2358325Z %aten_copy_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.copy.default](args = (%b_layers_3_attention_kv_cache_past_v_caches, %getitem_6), kwargs = {}) 2025-06-05T23:27:03.2358981Z %aten_copy_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.copy.default](args = (%b_layers_3_attention_kv_cache_past_k_caches, %getitem_7), kwargs = {}) 2025-06-05T23:27:03.2359622Z %aten_copy_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.copy.default](args = (%b_layers_4_attention_kv_cache_past_v_caches, %getitem_8), kwargs = {}) 2025-06-05T23:27:03.2360263Z %aten_copy_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.copy.default](args = (%b_layers_4_attention_kv_cache_past_k_caches, %getitem_9), kwargs = {}) 2025-06-05T23:27:03.2360918Z %aten_copy_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.copy.default](args = (%b_layers_5_attention_kv_cache_past_v_caches, %getitem_10), kwargs = {}) 2025-06-05T23:27:03.2361562Z %aten_copy_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.copy.default](args = (%b_layers_5_attention_kv_cache_past_k_caches, %getitem_11), kwargs = {}) 2025-06-05T23:27:03.2362231Z %aten_copy_default_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.copy.default](args = (%b_layers_6_attention_kv_cache_past_v_caches, %getitem_12), kwargs = {}) 2025-06-05T23:27:03.2362887Z %aten_copy_default_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.copy.default](args = (%b_layers_6_attention_kv_cache_past_k_caches, %getitem_13), kwargs = {}) 2025-06-05T23:27:03.2363529Z %aten_copy_default_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.copy.default](args = (%b_layers_7_attention_kv_cache_past_v_caches, %getitem_14), kwargs = {}) 2025-06-05T23:27:03.2364181Z %aten_copy_default_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.copy.default](args = (%b_layers_7_attention_kv_cache_past_k_caches, %getitem_15), kwargs = {}) 2025-06-05T23:27:03.2364824Z %aten_copy_default_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.copy.default](args = (%b_layers_8_attention_kv_cache_past_v_caches, %getitem_16), kwargs = {}) 2025-06-05T23:27:03.2365461Z %aten_copy_default_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.copy.default](args = (%b_layers_8_attention_kv_cache_past_k_caches, %getitem_17), kwargs = {}) 2025-06-05T23:27:03.2366138Z %aten_copy_default_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.copy.default](args = (%b_layers_9_attention_kv_cache_past_v_caches, %getitem_18), kwargs = {}) 2025-06-05T23:27:03.2366780Z %aten_copy_default_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.copy.default](args = (%b_layers_9_attention_kv_cache_past_k_caches, %getitem_19), kwargs = {}) 2025-06-05T23:27:03.2367472Z %aten_copy_default_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.copy.default](args = (%b_layers_10_attention_kv_cache_past_v_caches, %getitem_20), kwargs = {}) 2025-06-05T23:27:03.2368132Z %aten_copy_default_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.copy.default](args = (%b_layers_10_attention_kv_cache_past_k_caches, %getitem_21), kwargs = {}) 2025-06-05T23:27:03.2368773Z %aten_copy_default_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.copy.default](args = (%b_layers_11_attention_kv_cache_past_v_caches, %getitem_22), kwargs = {}) 2025-06-05T23:27:03.2369445Z %aten_copy_default_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.copy.default](args = (%b_layers_11_attention_kv_cache_past_k_caches, %getitem_23), kwargs = {}) 2025-06-05T23:27:03.2371195Z return (aten_copy_default, aten_copy_default_1, aten_copy_default_2, aten_copy_default_3, aten_copy_default_4, aten_copy_default_5, aten_copy_default_6, aten_copy_default_7, aten_copy_default_8, aten_copy_default_9, aten_copy_default_10, aten_copy_default_11, aten_copy_default_12, aten_copy_default_13, aten_copy_default_14, aten_copy_default_15, aten_copy_default_16, aten_copy_default_17, aten_copy_default_18, aten_copy_default_19, aten_copy_default_20, aten_copy_default_21, aten_copy_default_22, aten_copy_default_23, getitem_24) 2025-06-05T23:27:03.2371205Z 2025-06-05T23:27:03.2371792Z [INFO 2025-06-05 23:27:02,967 builder.py:490] Applied partitioners: 2025-06-05T23:27:03.2371915Z Total delegated subgraphs: 1 2025-06-05T23:27:03.2372016Z Number of delegated nodes: 2129 2025-06-05T23:27:03.2372119Z Number of non-delegated nodes: 49 2025-06-05T23:27:03.2372126Z 2025-06-05T23:27:03.2373351Z ╒════╤════════════════════════════════════════════════════╤═══════════════════════════════════╤═══════════════════════════════════════╕ 2025-06-05T23:27:03.2373761Z │ │ op_type │ occurrences_in_delegated_graphs │ occurrences_in_non_delegated_graphs │ 2025-06-05T23:27:03.2374286Z ╞════╪════════════════════════════════════════════════════╪═══════════════════════════════════╪═══════════════════════════════════════╡ 2025-06-05T23:27:03.2374642Z │ 0 │ aten__softmax_default │ 12 │ 0 │ 2025-06-05T23:27:03.2375042Z ├────┼────────────────────────────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤ 2025-06-05T23:27:03.2375418Z │ 1 │ aten__to_copy_default │ 2 │ 0 │ 2025-06-05T23:27:03.2375840Z ├────┼────────────────────────────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤ 2025-06-05T23:27:03.2376149Z │ 2 │ aten_add_tensor │ 60 │ 0 │ 2025-06-05T23:27:03.2376551Z ├────┼────────────────────────────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤ 2025-06-05T23:27:03.2376877Z │ 3 │ aten_cat_default │ 48 │ 0 │ 2025-06-05T23:27:03.2377264Z ├────┼────────────────────────────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤ 2025-06-05T23:27:03.2377676Z │ 4 │ aten_convolution_default │ 85 │ 0 │ 2025-06-05T23:27:03.2378080Z ├────┼────────────────────────────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤ 2025-06-05T23:27:03.2378443Z │ 5 │ aten_copy_default │ 0 │ 24 │ 2025-06-05T23:27:03.2378831Z ├────┼────────────────────────────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤ 2025-06-05T23:27:03.2379207Z │ 6 │ aten_embedding_default │ 1 │ 0 │ 2025-06-05T23:27:03.2379595Z ├────┼────────────────────────────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤ 2025-06-05T23:27:03.2379949Z │ 7 │ aten_index_put_default │ 24 │ 0 │ 2025-06-05T23:27:03.2380349Z ├────┼────────────────────────────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤ 2025-06-05T23:27:03.2380672Z │ 8 │ aten_index_tensor │ 14 │ 0 │ 2025-06-05T23:27:03.2381057Z ├────┼────────────────────────────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤ 2025-06-05T23:27:03.2381400Z │ 9 │ aten_matmul_default │ 24 │ 0 │ 2025-06-05T23:27:03.2381785Z ├────┼────────────────────────────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤ 2025-06-05T23:27:03.2382173Z │ 10 │ aten_mul_tensor │ 132 │ 0 │ 2025-06-05T23:27:03.2382571Z ├────┼────────────────────────────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤ 2025-06-05T23:27:03.2382957Z │ 11 │ aten_permute_copy_default │ 494 │ 0 │ 2025-06-05T23:27:03.2383345Z ├────┼────────────────────────────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤ 2025-06-05T23:27:03.2383693Z │ 12 │ aten_rms_norm_default │ 25 │ 0 │ 2025-06-05T23:27:03.2384079Z ├────┼────────────────────────────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤ 2025-06-05T23:27:03.2384430Z │ 13 │ aten_select_copy_int │ 577 │ 0 │ 2025-06-05T23:27:03.2384841Z ├────┼────────────────────────────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤ 2025-06-05T23:27:03.2385179Z │ 14 │ aten_sigmoid_default │ 12 │ 0 │ 2025-06-05T23:27:03.2385569Z ├────┼────────────────────────────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤ 2025-06-05T23:27:03.2385965Z │ 15 │ aten_slice_copy_tensor │ 48 │ 0 │ 2025-06-05T23:27:03.2386358Z ├────┼────────────────────────────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤ 2025-06-05T23:27:03.2386729Z │ 16 │ aten_squeeze_copy_dims │ 132 │ 0 │ 2025-06-05T23:27:03.2387163Z ├────┼────────────────────────────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤ 2025-06-05T23:27:03.2387501Z │ 17 │ aten_sub_tensor │ 24 │ 0 │ 2025-06-05T23:27:03.2387888Z ├────┼────────────────────────────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤ 2025-06-05T23:27:11.5622984Z │ 18 │ aten_unsqueeze_copy_default │ 132 │ 0 │ 2025-06-05T23:27:11.5624054Z ├────┼────────────────────────────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤ 2025-06-05T23:27:11.5624800Z │ 19 │ aten_view_copy_default │ 146 │ 0 │ 2025-06-05T23:27:11.5625627Z ├────┼────────────────────────────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤ 2025-06-05T23:27:11.5626301Z │ 20 │ getitem │ 0 │ 25 │ 2025-06-05T23:27:11.5627056Z ├────┼────────────────────────────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤ 2025-06-05T23:27:11.5627900Z │ 21 │ quantized_decomposed_dequantize_per_tensor_default │ 137 │ 0 │ 2025-06-05T23:27:11.5628976Z ├────┼────────────────────────────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤ 2025-06-05T23:27:11.5629649Z │ 22 │ Total │ 2129 │ 49 │ 2025-06-05T23:27:11.5630572Z ╘════╧════════════════════════════════════════════════════╧═══════════════════════════════════╧═══════════════════════════════════════╛ 2025-06-05T23:27:11.5632424Z /pytorch/executorch/exir/emit/_emitter.py:1593: UserWarning: Mutation on a buffer in the model is detected. ExecuTorch assumes buffers that are mutated in the graph have a meaningless initial state, only the shape and dtype will be serialized, unless a pass which sets meta["et_init_buffer"] to True such as InitializedMutableBufferPass is run. 2025-06-05T23:27:11.5634060Z warnings.warn( 2025-06-05T23:27:11.5634494Z [INFO 2025-06-05 23:27:06,439 builder.py:553] Required memory for activation in bytes: [0, 19395584] 2025-06-05T23:27:11.5635021Z modelname: tinyllama_qnn_fp32 2025-06-05T23:27:11.5635371Z output_file: tinyllama_qnn_fp32.pte 2025-06-05T23:27:11.5635819Z [INFO 2025-06-05 23:27:06,532 utils.py:141] Saved exported program to tinyllama_qnn_fp32.pte 2025-06-05T23:27:11.5636389Z + echo 'Creating tokenizer.bin' 2025-06-05T23:27:11.5636671Z Creating tokenizer.bin 2025-06-05T23:27:11.5637123Z + python -m pytorch_tokenizers.tools.llama2c.convert -t tokenizer.model -o tokenizer.bin 2025-06-05T23:27:11.5637995Z + RUNTIME_ARGS='--model_path=tinyllama_qnn_fp32.pte --tokenizer_path=tokenizer.bin --prompt=Once --temperature=0 --seq_len=10 --warmup=1' 2025-06-05T23:27:11.5638721Z + echo 'Running tinyllama_qnn_fp32.pte in portable mode' 2025-06-05T23:27:11.5639123Z Running tinyllama_qnn_fp32.pte in portable mode 2025-06-05T23:27:11.5639455Z + [[ cmake == \b\u\c\k\2 ]] 2025-06-05T23:27:11.5639697Z + [[ cmake == \c\m\a\k\e ]] 2025-06-05T23:27:11.5639961Z + cmake_install_executorch_libraries 2025-06-05T23:27:11.5640416Z + echo 'Installing libexecutorch.a, libextension_module.so, libportable_ops_lib.a' 2025-06-05T23:27:11.5641039Z Installing libexecutorch.a, libextension_module.so, libportable_ops_lib.a 2025-06-05T23:27:11.5647681Z + rm -rf cmake-out 2025-06-05T23:27:11.5648533Z + retry cmake --preset llm -DCMAKE_INSTALL_PREFIX=cmake-out -DCMAKE_BUILD_TYPE=Release -DEXECUTORCH_BUILD_QNN=ON -DQNN_SDK_ROOT=/tmp/qnn/2.28.0.241029 -Bcmake-out . 2025-06-05T23:27:11.5649793Z + cmake --preset llm -DCMAKE_INSTALL_PREFIX=cmake-out -DCMAKE_BUILD_TYPE=Release -DEXECUTORCH_BUILD_QNN=ON -DQNN_SDK_ROOT=/tmp/qnn/2.28.0.241029 -Bcmake-out . 2025-06-05T23:27:11.5650597Z Preset CMake variables: 2025-06-05T23:27:11.5650806Z 2025-06-05T23:27:11.5650912Z CMAKE_OSX_DEPLOYMENT_TARGET="12.0" 2025-06-05T23:27:11.5651366Z EXECUTORCH_BUILD_PRESET_FILE="/pytorch/executorch/tools/cmake/preset/llm.cmake" 2025-06-05T23:27:11.5651792Z 2025-06-05T23:27:11.5651941Z -- The C compiler identification is Clang 12.0.1 2025-06-05T23:27:11.5652454Z -- The CXX compiler identification is Clang 12.0.1 2025-06-05T23:27:11.5652806Z -- Detecting C compiler ABI info 2025-06-05T23:27:11.5653144Z -- Detecting C compiler ABI info - done 2025-06-05T23:27:11.5653526Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2025-06-05T23:27:11.5653954Z -- Detecting C compile features 2025-06-05T23:27:11.5654247Z -- Detecting C compile features - done 2025-06-05T23:27:11.5654636Z -- Detecting CXX compiler ABI info 2025-06-05T23:27:11.5654949Z -- Detecting CXX compiler ABI info - done 2025-06-05T23:27:11.5655395Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2025-06-05T23:27:11.5655779Z -- Detecting CXX compile features 2025-06-05T23:27:11.5656139Z -- Detecting CXX compile features - done 2025-06-05T23:27:11.5656565Z -- Loading build preset: /pytorch/executorch/tools/cmake/preset/llm.cmake 2025-06-05T23:27:11.5657056Z -- --- Configured Options --- 2025-06-05T23:27:11.5657234Z 2025-06-05T23:27:11.5657349Z -- CMAKE_CXX_STANDARD : 17 2025-06-05T23:27:11.5657749Z -- CMAKE_SYSTEM_PROCESSOR : x86_64 2025-06-05T23:27:11.5658111Z -- CMAKE_BUILD_TYPE : Release 2025-06-05T23:27:11.5658459Z -- PYTHON_EXECUTABLE : python 2025-06-05T23:27:11.5658918Z -- CMAKE_CXX_COMPILER_ID : Clang 2025-06-05T23:27:11.5659267Z -- CMAKE_TOOLCHAIN_FILE x (unset) 2025-06-05T23:27:11.5659620Z -- BUCK2 x (unset) 2025-06-05T23:27:11.5660152Z -- EXECUTORCH_BUILD_PRESET_FILE : /pytorch/executorch/tools/cmake/preset/llm.cmake 2025-06-05T23:27:11.5660696Z -- EXECUTORCH_ENABLE_LOGGING : OFF 2025-06-05T23:27:11.5661037Z -- EXECUTORCH_BUILD_COREML : OFF 2025-06-05T23:27:11.5661397Z -- EXECUTORCH_FLATBUFFERS_MAX_ALIGNMENT : 1024 2025-06-05T23:27:11.5661765Z -- EXECUTORCH_PAL_DEFAULT : posix 2025-06-05T23:27:11.5662359Z -- EXECUTORCH_PAL_DEFAULT_FILE_PATH : /pytorch/executorch/runtime/platform/default/posix.cpp 2025-06-05T23:27:11.5662901Z -- EXECUTORCH_LOG_LEVEL : Info 2025-06-05T23:27:11.5663249Z -- EXECUTORCH_ENABLE_PROGRAM_VERIFICATION : OFF 2025-06-05T23:27:11.5663609Z -- EXECUTORCH_ENABLE_EVENT_TRACER : OFF 2025-06-05T23:27:11.5663947Z -- EXECUTORCH_OPTIMIZE_SIZE : OFF 2025-06-05T23:27:11.5664294Z -- EXECUTORCH_BUILD_ARM_BAREMETAL : OFF 2025-06-05T23:27:11.5664650Z -- EXECUTORCH_BUILD_KERNELS_CUSTOM : ON 2025-06-05T23:27:11.5664989Z -- EXECUTORCH_BUILD_KERNELS_CUSTOM_AOT : OFF 2025-06-05T23:27:11.5665347Z -- EXECUTORCH_BUILD_KERNELS_QUANTIZED_AOT : OFF 2025-06-05T23:27:11.5665692Z -- EXECUTORCH_BUILD_EXTENSION_DATA_LOADER : ON 2025-06-05T23:27:11.5666101Z -- EXECUTORCH_BUILD_EXTENSION_FLAT_TENSOR : ON 2025-06-05T23:27:11.5666440Z -- EXECUTORCH_BUILD_EXTENSION_LLM : OFF 2025-06-05T23:27:11.5666790Z -- EXECUTORCH_BUILD_EXTENSION_MODULE : ON 2025-06-05T23:27:11.5667132Z -- EXECUTORCH_BUILD_EXTENSION_RUNNER_UTIL : OFF 2025-06-05T23:27:11.5667489Z -- EXECUTORCH_BUILD_EXTENSION_TENSOR : ON 2025-06-05T23:27:11.5667840Z -- EXECUTORCH_BUILD_EXTENSION_TRAINING : OFF 2025-06-05T23:27:11.5668185Z -- EXECUTORCH_BUILD_EXTENSION_APPLE : OFF 2025-06-05T23:27:11.5668533Z -- EXECUTORCH_BUILD_MPS : OFF 2025-06-05T23:27:11.5668859Z -- EXECUTORCH_BUILD_NEURON : OFF 2025-06-05T23:27:11.5669203Z -- EXECUTORCH_BUILD_OPENVINO : OFF 2025-06-05T23:27:11.5669533Z -- EXECUTORCH_BUILD_PYBIND : OFF 2025-06-05T23:27:11.5669874Z -- EXECUTORCH_BUILD_QNN : ON 2025-06-05T23:27:11.5670206Z -- EXECUTORCH_BUILD_KERNELS_OPTIMIZED : ON 2025-06-05T23:27:11.5670557Z -- EXECUTORCH_BUILD_KERNELS_QUANTIZED : ON 2025-06-05T23:27:11.5670990Z -- EXECUTORCH_BUILD_DEVTOOLS : OFF 2025-06-05T23:27:11.5671327Z -- EXECUTORCH_BUILD_TESTS : OFF 2025-06-05T23:27:11.5671666Z -- EXECUTORCH_NNLIB_OPT : OFF 2025-06-05T23:27:11.5672131Z -- EXECUTORCH_CADENCE_CPU_RUNNER : OFF 2025-06-05T23:27:11.5672499Z -- EXECUTORCH_BUILD_SIZE_TEST : OFF 2025-06-05T23:27:11.5673067Z -- EXECUTORCH_BUILD_XNNPACK : ON 2025-06-05T23:27:11.5673420Z -- EXECUTORCH_BUILD_VULKAN : OFF 2025-06-05T23:27:11.5673755Z -- EXECUTORCH_BUILD_PORTABLE_OPS : ON 2025-06-05T23:27:11.5674189Z -- EXECUTORCH_USE_DL : ON 2025-06-05T23:27:11.5674531Z -- EXECUTORCH_BUILD_CADENCE : OFF 2025-06-05T23:27:11.5674868Z -- EXECUTORCH_BUILD_CORTEX_M : OFF 2025-06-05T23:27:11.5675213Z -- EXECUTORCH_BUILD_GFLAGS : ON 2025-06-05T23:27:11.5675554Z -- EXECUTORCH_COREML_BUILD_EXECUTOR_RUNNER : OFF 2025-06-05T23:27:11.5675908Z -- EXECUTORCH_BUILD_PTHREADPOOL : ON 2025-06-05T23:27:11.5676244Z -- EXECUTORCH_BUILD_CPUINFO : ON 2025-06-05T23:27:11.5676592Z -- EXECUTORCH_BUILD_EXECUTOR_RUNNER : OFF 2025-06-05T23:27:11.5676939Z -- EXECUTORCH_XNNPACK_SHARED_WORKSPACE : ON 2025-06-05T23:27:11.5677297Z -- EXECUTORCH_XNNPACK_ENABLE_KLEIDI : OFF 2025-06-05T23:27:11.5677653Z -- EXECUTORCH_XNNPACK_ENABLE_WEIGHT_CACHE : OFF 2025-06-05T23:27:11.5678016Z -- -------------------------- 2025-06-05T23:27:11.5678432Z -- Using the multi-header code from /pytorch/executorch/third-party/json/include/ 2025-06-05T23:27:11.5679291Z CMake Deprecation Warning at third-party/flatcc/CMakeLists.txt:2 (cmake_minimum_required): 2025-06-05T23:27:19.5479159Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-06-05T23:27:19.5480184Z CMake. 2025-06-05T23:27:19.5480308Z 2025-06-05T23:27:19.5480527Z Update the VERSION argument value. Or, use the ... syntax 2025-06-05T23:27:19.5481068Z to tell CMake that the project requires at least but has been updated 2025-06-05T23:27:19.5481552Z to work with policies introduced by or earlier. 2025-06-05T23:27:19.5481800Z 2025-06-05T23:27:19.5482077Z  2025-06-05T23:27:19.5482343Z -- dist install dir /pytorch/executorch/third-party/flatcc 2025-06-05T23:27:19.5482800Z -- lib install dir /pytorch/executorch/third-party/flatcc/lib 2025-06-05T23:27:19.5483173Z -- Setting Clang compiler options 2025-06-05T23:27:19.5483877Z -- Configured C_FLAGS: -DFLATCC_REFLECTION=0 -Wstrict-prototypes -Wsign-conversion -Wconversion -std=c11 -pedantic -Wall -Wextra -Werror 2025-06-05T23:27:19.5484963Z CMake Deprecation Warning at backends/xnnpack/third-party/FXdiv/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED): 2025-06-05T23:27:19.5485817Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-06-05T23:27:19.5486483Z CMake. 2025-06-05T23:27:19.5486646Z 2025-06-05T23:27:19.5487047Z Update the VERSION argument value. Or, use the ... syntax 2025-06-05T23:27:19.5487665Z to tell CMake that the project requires at least but has been updated 2025-06-05T23:27:19.5488131Z to work with policies introduced by or earlier. 2025-06-05T23:27:19.5488395Z 2025-06-05T23:27:19.5488505Z  2025-06-05T23:27:19.5489111Z CMake Deprecation Warning at backends/xnnpack/third-party/cpuinfo/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED): 2025-06-05T23:27:19.5489832Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-06-05T23:27:19.5490245Z CMake. 2025-06-05T23:27:19.5490429Z 2025-06-05T23:27:19.5490722Z Update the VERSION argument value. Or, use the ... syntax 2025-06-05T23:27:19.5491422Z to tell CMake that the project requires at least but has been updated 2025-06-05T23:27:19.5491888Z to work with policies introduced by or earlier. 2025-06-05T23:27:19.5492146Z 2025-06-05T23:27:19.5492249Z  2025-06-05T23:27:19.5492475Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD 2025-06-05T23:27:19.5492831Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success 2025-06-05T23:27:19.5493177Z -- Found Threads: TRUE 2025-06-05T23:27:19.5493954Z CMake Deprecation Warning at backends/xnnpack/third-party/pthreadpool/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED): 2025-06-05T23:27:19.5494710Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-06-05T23:27:19.5495102Z CMake. 2025-06-05T23:27:19.5495229Z 2025-06-05T23:27:19.5495444Z Update the VERSION argument value. Or, use the ... syntax 2025-06-05T23:27:19.5496064Z to tell CMake that the project requires at least but has been updated 2025-06-05T23:27:19.5496528Z to work with policies introduced by or earlier. 2025-06-05T23:27:19.5496778Z 2025-06-05T23:27:19.5496889Z  2025-06-05T23:27:19.5497082Z -- Resolved buck2 as buck2. 2025-06-05T23:27:19.5497350Z -- Killing buck2 daemon 2025-06-05T23:27:19.5497626Z 'buck2 killall' 2025-06-05T23:27:19.5497857Z -- executorch: Generating source lists 2025-06-05T23:27:19.5498369Z -- executorch: Generating source file list /pytorch/executorch/cmake-out/executorch_srcs.cmake 2025-06-05T23:27:19.5499039Z -- executorch: Using sources file /pytorch/executorch/cmake-out/executorch_srcs.cmake 2025-06-05T23:27:19.5499772Z 'python' '-c' 'import importlib.util; print(importlib.util.find_spec('torch').submodule_search_locations[0])' 2025-06-05T23:27:19.5500324Z -- Generating operator lib: 2025-06-05T23:27:19.5500661Z -- LIB_NAME: portable_ops_lib 2025-06-05T23:27:19.5501064Z -- OPS_SCHEMA_YAML: /pytorch/executorch/kernels/portable/functions.yaml 2025-06-05T23:27:19.5501470Z -- ROOT_OPS: 2025-06-05T23:27:19.5501697Z -- INCLUDE_ALL_OPS: 2025-06-05T23:27:19.5503261Z Command - python;-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" 2025-06-05T23:27:19.5504670Z -- Generating kernel bindings: 2025-06-05T23:27:19.5505073Z -- LIB_NAME: portable_ops_lib 2025-06-05T23:27:19.5505476Z -- FUNCTIONS_YAML: /pytorch/executorch/kernels/portable/functions.yaml 2025-06-05T23:27:19.5505974Z -- CUSTOM_OPS_YAML: 2025-06-05T23:27:19.5506324Z -- ADD_EXCEPTION_BOUNDARY: FALSE 2025-06-05T23:27:19.5508273Z 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 2025-06-05T23:27:19.5509766Z -- Generating operator lib: 2025-06-05T23:27:19.5510042Z -- LIB_NAME: portable_ops_lib 2025-06-05T23:27:19.5510310Z -- KERNEL_LIBS: portable_kernels 2025-06-05T23:27:19.5510604Z -- DEPS: executorch_core 2025-06-05T23:27:19.5510944Z -- Generating operator lib: 2025-06-05T23:27:19.5511204Z -- LIB_NAME: optimized_ops_lib 2025-06-05T23:27:19.5511609Z -- OPS_SCHEMA_YAML: /pytorch/executorch/kernels/optimized/optimized.yaml 2025-06-05T23:27:19.5512013Z -- ROOT_OPS: 2025-06-05T23:27:19.5512235Z -- INCLUDE_ALL_OPS: 2025-06-05T23:27:19.5513491Z Command - python;-m;codegen.tools.gen_oplist;--output_path=/pytorch/executorch/cmake-out/kernels/optimized/optimized_ops_lib/selected_operators.yaml;--ops_schema_yaml_path="/pytorch/executorch/kernels/optimized/optimized.yaml" 2025-06-05T23:27:19.5514612Z -- Generating kernel bindings: 2025-06-05T23:27:19.5514890Z -- LIB_NAME: optimized_ops_lib 2025-06-05T23:27:19.5515282Z -- FUNCTIONS_YAML: /pytorch/executorch/kernels/optimized/optimized.yaml 2025-06-05T23:27:19.5515708Z -- CUSTOM_OPS_YAML: 2025-06-05T23:27:19.5515947Z -- ADD_EXCEPTION_BOUNDARY: TRUE 2025-06-05T23:27:19.5517683Z Generated files /pytorch/executorch/cmake-out/kernels/optimized/optimized_ops_lib/RegisterCodegenUnboxedKernelsEverything.cpp;/pytorch/executorch/cmake-out/kernels/optimized/optimized_ops_lib/Functions.h;/pytorch/executorch/cmake-out/kernels/optimized/optimized_ops_lib/NativeFunctions.h 2025-06-05T23:27:19.5519177Z -- Generating operator lib: 2025-06-05T23:27:19.5519448Z -- LIB_NAME: optimized_ops_lib 2025-06-05T23:27:19.5519814Z -- KERNEL_LIBS: optimized_kernels 2025-06-05T23:27:19.5520094Z -- DEPS: executorch_core 2025-06-05T23:27:19.5520359Z -- Merging kernel yaml files: 2025-06-05T23:27:19.5520824Z -- FUNCTIONS_YAML: /pytorch/executorch/configurations/../kernels/optimized/optimized.yaml 2025-06-05T23:27:19.5521533Z -- FALLBACK_YAML: /pytorch/executorch/configurations/../kernels/portable/functions.yaml 2025-06-05T23:27:19.5522121Z -- OUTPUT_DIR: /pytorch/executorch/cmake-out/configurations 2025-06-05T23:27:19.5522495Z -- Generating operator lib: 2025-06-05T23:27:19.5522793Z -- LIB_NAME: optimized_native_cpu_ops_lib 2025-06-05T23:27:19.5523236Z -- OPS_SCHEMA_YAML: /pytorch/executorch/cmake-out/configurations/merged.yaml 2025-06-05T23:27:19.5523671Z -- ROOT_OPS: 2025-06-05T23:27:19.5523877Z -- INCLUDE_ALL_OPS: 2025-06-05T23:27:19.5525187Z Command - python;-m;codegen.tools.gen_oplist;--output_path=/pytorch/executorch/cmake-out/configurations/optimized_native_cpu_ops_lib/selected_operators.yaml;--ops_schema_yaml_path="/pytorch/executorch/cmake-out/configurations/merged.yaml" 2025-06-05T23:27:19.5526341Z -- Generating kernel bindings: 2025-06-05T23:27:19.5526644Z -- LIB_NAME: optimized_native_cpu_ops_lib 2025-06-05T23:27:19.5527094Z -- FUNCTIONS_YAML: /pytorch/executorch/cmake-out/configurations/merged.yaml 2025-06-05T23:27:19.5527554Z -- CUSTOM_OPS_YAML: 2025-06-05T23:27:19.5527807Z -- ADD_EXCEPTION_BOUNDARY: TRUE 2025-06-05T23:27:19.5529629Z Generated files /pytorch/executorch/cmake-out/configurations/optimized_native_cpu_ops_lib/RegisterCodegenUnboxedKernelsEverything.cpp;/pytorch/executorch/cmake-out/configurations/optimized_native_cpu_ops_lib/Functions.h;/pytorch/executorch/cmake-out/configurations/optimized_native_cpu_ops_lib/NativeFunctions.h 2025-06-05T23:27:19.5531257Z -- Generating operator lib: 2025-06-05T23:27:19.5531534Z -- LIB_NAME: optimized_native_cpu_ops_lib 2025-06-05T23:27:19.5531926Z -- KERNEL_LIBS: optimized_kernels;optimized_portable_kernels 2025-06-05T23:27:19.5532311Z -- DEPS: executorch_core 2025-06-05T23:27:19.5532871Z CMake Deprecation Warning at third-party/gflags/CMakeLists.txt:73 (cmake_minimum_required): 2025-06-05T23:27:19.5533520Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-06-05T23:27:19.5533922Z CMake. 2025-06-05T23:27:19.5534045Z 2025-06-05T23:27:19.5534260Z Update the VERSION argument value. Or, use the ... syntax 2025-06-05T23:27:19.5534800Z to tell CMake that the project requires at least but has been updated 2025-06-05T23:27:19.5535283Z to work with policies introduced by or earlier. 2025-06-05T23:27:19.5535530Z 2025-06-05T23:27:19.5535637Z  2025-06-05T23:27:19.5535832Z -- Looking for C++ include unistd.h 2025-06-05T23:27:19.5536143Z -- Looking for C++ include unistd.h - found 2025-06-05T23:27:19.5536450Z -- Looking for C++ include stdint.h 2025-06-05T23:27:19.5536759Z -- Looking for C++ include stdint.h - found 2025-06-05T23:27:19.5537067Z -- Looking for C++ include inttypes.h 2025-06-05T23:27:19.5537390Z -- Looking for C++ include inttypes.h - found 2025-06-05T23:27:19.5537709Z -- Looking for C++ include sys/types.h 2025-06-05T23:27:19.5538032Z -- Looking for C++ include sys/types.h - found 2025-06-05T23:27:19.5538359Z -- Looking for C++ include sys/stat.h 2025-06-05T23:27:19.5538660Z -- Looking for C++ include sys/stat.h - found 2025-06-05T23:27:19.5538984Z -- Looking for C++ include fnmatch.h 2025-06-05T23:27:19.5539301Z -- Looking for C++ include fnmatch.h - found 2025-06-05T23:27:19.5539613Z -- Looking for C++ include stddef.h 2025-06-05T23:27:19.5539923Z -- Looking for C++ include stddef.h - found 2025-06-05T23:27:19.5540235Z -- Check size of uint32_t 2025-06-05T23:27:19.5540490Z -- Check size of uint32_t - done 2025-06-05T23:27:19.5540765Z -- Looking for strtoll 2025-06-05T23:27:19.5541004Z -- Looking for strtoll - found 2025-06-05T23:27:19.5541297Z -- Using qnn sdk root /tmp/qnn/2.28.0.241029 2025-06-05T23:27:19.5541642Z -- Using EXECUTORCH_SOURCE_DIR /pytorch/executorch 2025-06-05T23:27:19.5542357Z CMake Deprecation Warning at third-party/pybind11/CMakeLists.txt:13 (cmake_minimum_required): 2025-06-05T23:27:19.5543007Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-06-05T23:27:19.5543429Z CMake. 2025-06-05T23:27:19.5543538Z 2025-06-05T23:27:19.5543768Z Update the VERSION argument value. Or, use the ... syntax 2025-06-05T23:27:19.5544342Z to tell CMake that the project requires at least but has been updated 2025-06-05T23:27:19.5544823Z to work with policies introduced by or earlier. 2025-06-05T23:27:19.5545075Z 2025-06-05T23:27:19.5545171Z  2025-06-05T23:27:19.5545370Z -- pybind11 v2.13.6 2025-06-05T23:27:19.5545795Z -- Found PythonInterp: python (found suitable version "3.10.16", minimum required is "3.7") 2025-06-05T23:27:19.5546393Z -- Found PythonLibs: /opt/conda/envs/py_3.10/lib/libpython3.10.so 2025-06-05T23:27:19.5546800Z -- Performing Test HAS_FLTO_THIN 2025-06-05T23:27:19.5547094Z -- Performing Test HAS_FLTO_THIN - Success 2025-06-05T23:27:19.5547521Z -- The ASM compiler identification is Clang with GNU-like command-line 2025-06-05T23:27:19.5547932Z -- Found assembler: /opt/cache/bin/cc 2025-06-05T23:27:19.5548261Z -- Building for XNNPACK_TARGET_PROCESSOR: x86_64 2025-06-05T23:27:19.5548876Z -- Found Python: /opt/conda/envs/py_3.10/bin/python3.10 (found version "3.10.16") found components: Interpreter 2025-06-05T23:27:19.5549454Z -- Generating microkernels.cmake 2025-06-05T23:27:19.5549821Z No microkernel found in src/reference/binary-elementwise.cc 2025-06-05T23:27:19.5550258Z No microkernel found in src/reference/packing.cc 2025-06-05T23:27:19.5550669Z No microkernel found in src/reference/unary-elementwise.cc 2025-06-05T23:27:20.7031971Z -- executorch: Using source file list /pytorch/executorch/cmake-out/extension/llm/custom_ops/../../../executorch_srcs.cmake 2025-06-05T23:27:20.7033170Z -- Generating operator lib: 2025-06-05T23:27:20.7033624Z -- LIB_NAME: quantized_ops_lib 2025-06-05T23:27:20.7034325Z -- OPS_SCHEMA_YAML: /pytorch/executorch/kernels/quantized/quantized.yaml 2025-06-05T23:27:20.7035035Z -- ROOT_OPS: 2025-06-05T23:27:20.7035495Z -- INCLUDE_ALL_OPS: 2025-06-05T23:27:20.7037980Z Command - python;-m;codegen.tools.gen_oplist;--output_path=/pytorch/executorch/cmake-out/kernels/quantized/quantized_ops_lib/selected_operators.yaml;--ops_schema_yaml_path="/pytorch/executorch/kernels/quantized/quantized.yaml" 2025-06-05T23:27:20.7040083Z -- Generating kernel bindings: 2025-06-05T23:27:20.7040562Z -- LIB_NAME: quantized_ops_lib 2025-06-05T23:27:20.7041094Z -- FUNCTIONS_YAML: 2025-06-05T23:27:20.7041682Z -- CUSTOM_OPS_YAML: /pytorch/executorch/kernels/quantized/quantized.yaml 2025-06-05T23:27:20.7042438Z -- ADD_EXCEPTION_BOUNDARY: FALSE 2025-06-05T23:27:20.7048380Z Generated files /pytorch/executorch/cmake-out/kernels/quantized/quantized_ops_lib/RegisterCodegenUnboxedKernelsEverything.cpp;/pytorch/executorch/cmake-out/kernels/quantized/quantized_ops_lib/Functions.h;/pytorch/executorch/cmake-out/kernels/quantized/quantized_ops_lib/NativeFunctions.h;/pytorch/executorch/cmake-out/kernels/quantized/quantized_ops_lib/RegisterCPUCustomOps.cpp;/pytorch/executorch/cmake-out/kernels/quantized/quantized_ops_lib/RegisterSchema.cpp;/pytorch/executorch/cmake-out/kernels/quantized/quantized_ops_lib/CustomOpsNativeFunctions.h 2025-06-05T23:27:20.7053670Z -- Generating operator lib: 2025-06-05T23:27:20.7054165Z -- LIB_NAME: quantized_ops_lib 2025-06-05T23:27:20.7054615Z -- KERNEL_LIBS: quantized_kernels 2025-06-05T23:27:20.7055111Z -- DEPS: executorch_core 2025-06-05T23:27:20.7055592Z -- Configuring done (8.7s) 2025-06-05T23:27:20.7056046Z -- Generating done (0.4s) 2025-06-05T23:27:20.7056655Z -- Build files have been written to: /pytorch/executorch/cmake-out 2025-06-05T23:27:20.7057549Z + cmake --build cmake-out -j9 --target install --config Release 2025-06-05T23:27:20.7058715Z [ 0%] Creating directories for 'flatbuffers_external_project' 2025-06-05T23:27:20.7060048Z [ 0%] Creating directories for 'flatcc_external_project' 2025-06-05T23:27:20.7061456Z [ 0%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/api.c.o 2025-06-05T23:27:20.7063360Z [ 0%] Building C object extension/llm/custom_ops/spinquant/third-party/FFHT/CMakeFiles/dumb_fht.dir/dumb_fht.c.o 2025-06-05T23:27:20.7065426Z [ 0%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/api.c.o 2025-06-05T23:27:20.7067446Z [ 0%] Building C object backends/xnnpack/third-party/pthreadpool/CMakeFiles/pthreadpool.dir/src/legacy-api.c.o 2025-06-05T23:27:20.7069425Z [ 0%] Building CXX object kernels/optimized/CMakeFiles/eigen_blas.dir/third-party/eigen/blas/single.cpp.o 2025-06-05T23:27:20.7071503Z [ 0%] Building C object backends/xnnpack/third-party/pthreadpool/CMakeFiles/pthreadpool.dir/src/portable-api.c.o 2025-06-05T23:27:20.7073726Z [ 0%] Building CXX object third-party/gflags/CMakeFiles/gflags_nothreads_static.dir/src/gflags.cc.o 2025-06-05T23:27:20.7075082Z [ 0%] No download step for 'flatcc_external_project' 2025-06-05T23:27:20.7076011Z [ 0%] No download step for 'flatbuffers_external_project' 2025-06-05T23:27:20.7077163Z [ 0%] No update step for 'flatbuffers_external_project' 2025-06-05T23:27:20.7078088Z [ 0%] No update step for 'flatcc_external_project' 2025-06-05T23:27:20.7079041Z [ 0%] No patch step for 'flatbuffers_external_project' 2025-06-05T23:27:20.7080052Z [ 0%] No patch step for 'flatcc_external_project' 2025-06-05T23:27:20.7081103Z [ 0%] Performing configure step for 'flatbuffers_external_project' 2025-06-05T23:27:20.7082295Z [ 0%] Performing configure step for 'flatcc_external_project' 2025-06-05T23:27:20.7083115Z CMake Warning: 2025-06-05T23:27:20.7083676Z Ignoring empty string ("") provided on the command line. 2025-06-05T23:27:20.7084204Z 2025-06-05T23:27:20.7084374Z  2025-06-05T23:27:20.7084782Z CMake Warning: 2025-06-05T23:27:20.7085322Z Ignoring empty string ("") provided on the command line. 2025-06-05T23:27:20.7085824Z 2025-06-05T23:27:20.7085998Z  2025-06-05T23:27:20.7086757Z CMake Deprecation Warning at CMakeLists.txt:2 (cmake_minimum_required): 2025-06-05T23:27:20.7087847Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-06-05T23:27:20.7088590Z CMake. 2025-06-05T23:27:20.7088790Z 2025-06-05T23:27:20.7089156Z Update the VERSION argument value. Or, use the ... syntax 2025-06-05T23:27:20.7090147Z to tell CMake that the project requires at least but has been updated 2025-06-05T23:27:20.7091030Z to work with policies introduced by or earlier. 2025-06-05T23:27:20.7091523Z 2025-06-05T23:27:20.7091717Z  2025-06-05T23:27:20.7092123Z fatal: No names found, cannot describe anything. 2025-06-05T23:27:20.7092951Z CMake Warning at CMake/Version.cmake:32 (message): 2025-06-05T23:27:20.7093564Z git describe failed with exit code: 128 2025-06-05T23:27:20.7093916Z 2025-06-05T23:27:20.7094165Z Make sure you cloned with tags or run 'git fetch --tags'. 2025-06-05T23:27:20.7094785Z Call Stack (most recent call first): 2025-06-05T23:27:20.7095206Z CMakeLists.txt:5 (include) 2025-06-05T23:27:20.7095494Z 2025-06-05T23:27:20.7095690Z  2025-06-05T23:27:20.7095995Z -- Proceeding with version: 24.3.25.0 2025-06-05T23:27:20.7096626Z [ 1%] Linking C static library libdumb_fht.a 2025-06-05T23:27:20.7097145Z [ 1%] Built target dumb_fht 2025-06-05T23:27:20.7098200Z [ 1%] Building C object backends/xnnpack/third-party/pthreadpool/CMakeFiles/pthreadpool.dir/src/memory.c.o 2025-06-05T23:27:20.7099915Z [ 1%] Building C object backends/xnnpack/third-party/pthreadpool/CMakeFiles/pthreadpool.dir/src/pthreads.c.o 2025-06-05T23:27:20.7101916Z [ 1%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/cache.c.o 2025-06-05T23:27:20.7103785Z [ 1%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/cache.c.o 2025-06-05T23:27:20.7106056Z [ 1%] Building C object backends/xnnpack/third-party/pthreadpool/CMakeFiles/pthreadpool.dir/src/fastpath.c.o 2025-06-05T23:27:20.7108051Z [ 1%] Building CXX object third-party/gflags/CMakeFiles/gflags_nothreads_static.dir/src/gflags_reporting.cc.o 2025-06-05T23:27:20.7109018Z -- The C compiler identification is Clang 12.0.1 2025-06-05T23:27:20.7109617Z -- Detecting C compiler ABI info 2025-06-05T23:27:20.7110919Z [ 1%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/init.c.o 2025-06-05T23:27:20.7112723Z [ 2%] Building CXX object third-party/gflags/CMakeFiles/gflags_nothreads_static.dir/src/gflags_completions.cc.o 2025-06-05T23:27:20.7114676Z [ 2%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/init.c.o 2025-06-05T23:27:20.7117520Z [ 2%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/log.c.o 2025-06-05T23:27:20.7118715Z [ 2%] Linking C static library libpthreadpool.a 2025-06-05T23:27:20.7120059Z [ 2%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/log.c.o 2025-06-05T23:27:20.7121015Z [ 2%] Built target pthreadpool 2025-06-05T23:27:20.7122075Z [ 2%] Building CXX object kernels/optimized/CMakeFiles/eigen_blas.dir/third-party/eigen/blas/double.cpp.o 2025-06-05T23:27:20.7123106Z -- The CXX compiler identification is Clang 12.0.1 2025-06-05T23:27:20.7123933Z [ 3%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/x86/init.c.o 2025-06-05T23:27:20.7124862Z [ 3%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/x86/info.c.o 2025-06-05T23:27:20.7125857Z [ 3%] Building CXX object kernels/optimized/CMakeFiles/eigen_blas.dir/third-party/eigen/blas/complex_single.cpp.o 2025-06-05T23:27:20.7126913Z [ 3%] Building CXX object kernels/optimized/CMakeFiles/eigen_blas.dir/third-party/eigen/blas/complex_double.cpp.o 2025-06-05T23:27:20.7127565Z -- Detecting CXX compiler ABI info 2025-06-05T23:27:20.7127998Z [ 3%] Linking CXX static library libgflags_nothreads.a 2025-06-05T23:27:20.7128802Z [ 3%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/x86/init.c.o 2025-06-05T23:27:20.7129691Z [ 3%] Built target gflags_nothreads_static 2025-06-05T23:27:20.7130147Z -- Detecting C compiler ABI info - done 2025-06-05T23:27:20.7131264Z [ 3%] Building C object 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/pytorch/executorch/cmake-out/include/experiments-config.h 2025-06-05T23:27:58.7879084Z -- Installing: /pytorch/executorch/cmake-out/lib/libmicrokernels-prod.a 2025-06-05T23:27:58.7879922Z -- Up-to-date: /pytorch/executorch/cmake-out/lib/libmicrokernels-prod.a 2025-06-05T23:27:58.7880755Z -- Installing: /pytorch/executorch/cmake-out/lib/libxnnpack_backend.a 2025-06-05T23:27:58.7881545Z -- Installing: /pytorch/executorch/cmake-out/lib/libextension_data_loader.a 2025-06-05T23:27:58.7883006Z -- Installing: /pytorch/executorch/cmake-out/lib/libextension_flat_tensor.a 2025-06-05T23:27:58.7883819Z -- Installing: /pytorch/executorch/cmake-out/lib/libextension_module.so 2025-06-05T23:27:58.7884693Z -- Installing: /pytorch/executorch/cmake-out/lib/libextension_module_static.a 2025-06-05T23:27:58.7885555Z -- Installing: /pytorch/executorch/cmake-out/lib/libextension_tensor.a 2025-06-05T23:27:58.7886529Z -- Installing: /pytorch/executorch/cmake-out/lib/libextension_threadpool.a 2025-06-05T23:27:58.7887437Z -- Installing: /pytorch/executorch/cmake-out/lib/libcustom_ops.a 2025-06-05T23:27:58.7888210Z -- Installing: /pytorch/executorch/cmake-out/lib/libquantized_kernels.a 2025-06-05T23:27:58.7888992Z -- Installing: /pytorch/executorch/cmake-out/lib/libquantized_ops_lib.a 2025-06-05T23:27:58.7889905Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/kernels/quantized/Functions.h 2025-06-05T23:27:58.7891041Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/kernels/quantized/NativeFunctions.h 2025-06-05T23:27:58.7892024Z + cmake_build_llama_runner 2025-06-05T23:27:58.7892417Z + echo 'Building llama runner' 2025-06-05T23:27:58.7892811Z Building llama runner 2025-06-05T23:27:58.7893172Z + pushd extension/llm/tokenizers 2025-06-05T23:27:58.7893952Z /pytorch/executorch/extension/llm/tokenizers /pytorch/executorch 2025-06-05T23:27:58.7894657Z + echo 'Updating tokenizers submodule' 2025-06-05T23:27:58.7895165Z Updating tokenizers submodule 2025-06-05T23:27:58.7895591Z + git submodule update --init 2025-06-05T23:27:58.7896021Z + popd 2025-06-05T23:27:58.7896470Z /pytorch/executorch 2025-06-05T23:27:58.7896869Z + dir=examples/models/llama 2025-06-05T23:27:58.7897979Z + retry cmake -DCMAKE_INSTALL_PREFIX=cmake-out -DCMAKE_BUILD_TYPE=Release -Bcmake-out/examples/models/llama examples/models/llama 2025-06-05T23:27:58.7899773Z + cmake -DCMAKE_INSTALL_PREFIX=cmake-out -DCMAKE_BUILD_TYPE=Release -Bcmake-out/examples/models/llama examples/models/llama 2025-06-05T23:27:58.7901019Z -- The C compiler identification is Clang 12.0.1 2025-06-05T23:27:58.7901704Z -- The CXX compiler identification is Clang 12.0.1 2025-06-05T23:27:58.7902352Z -- Detecting C compiler ABI info 2025-06-05T23:27:58.7902904Z -- Detecting C compiler ABI info - done 2025-06-05T23:27:58.7903645Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2025-06-05T23:27:58.7904344Z -- Detecting C compile features 2025-06-05T23:27:58.7904873Z -- Detecting C compile features - done 2025-06-05T23:27:58.7905413Z -- Detecting CXX compiler ABI info 2025-06-05T23:27:58.7905948Z -- Detecting CXX compiler ABI info - done 2025-06-05T23:27:58.7906665Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2025-06-05T23:27:58.7907356Z -- Detecting CXX compile features 2025-06-05T23:27:58.7907816Z -- Detecting CXX compile features - done 2025-06-05T23:27:58.7908863Z CMake Warning (dev) at CMakeLists.txt:82 (find_package): 2025-06-05T23:27:58.7909797Z Policy CMP0144 is not set: find_package uses upper-case _ROOT 2025-06-05T23:27:58.7910937Z variables. Run "cmake --help-policy CMP0144" for policy details. Use the 2025-06-05T23:27:58.7911845Z cmake_policy command to set the policy and suppress this warning. 2025-06-05T23:27:58.7912394Z 2025-06-05T23:27:58.7912610Z CMake variable EXECUTORCH_ROOT is set to: 2025-06-05T23:27:58.7912967Z 2025-06-05T23:27:58.7913204Z /pytorch/executorch/examples/models/llama/../../.. 2025-06-05T23:27:58.7913637Z 2025-06-05T23:27:58.7913864Z Environment variable EXECUTORCH_ROOT is set to: 2025-06-05T23:27:58.7914256Z 2025-06-05T23:27:58.7914432Z /pytorch/executorch/.ci 2025-06-05T23:27:58.7914699Z 2025-06-05T23:27:58.7915074Z For compatibility, find_package is ignoring the variable, but code in a 2025-06-05T23:27:58.7915845Z .cmake module might still use it. 2025-06-05T23:27:58.7916506Z This warning is for project developers. Use -Wno-dev to suppress it. 2025-06-05T23:27:58.7917299Z  2025-06-05T23:27:58.7917701Z etdump library is not found. 2025-06-05T23:27:58.7918612Z If needed rebuild with the proper options in CMakeLists.txt 2025-06-05T23:27:58.7919462Z bundled_program library is not found. 2025-06-05T23:27:58.7920215Z If needed rebuild with the proper options in CMakeLists.txt 2025-06-05T23:27:58.7920951Z coreml_util library is not found. 2025-06-05T23:27:58.7921701Z If needed rebuild with the proper options in CMakeLists.txt 2025-06-05T23:27:58.7922577Z coreml_inmemoryfs library is not found. 2025-06-05T23:27:58.7923390Z If needed rebuild with the proper options in CMakeLists.txt 2025-06-05T23:27:58.7924263Z coremldelegate library is not found. 2025-06-05T23:27:58.7925121Z If needed rebuild with the proper options in CMakeLists.txt 2025-06-05T23:27:58.7925965Z mpsdelegate library is not found. 2025-06-05T23:27:58.7926785Z If needed rebuild with the proper options in CMakeLists.txt 2025-06-05T23:27:58.7927645Z neuron_backend library is not found. 2025-06-05T23:27:58.7928501Z If needed rebuild with the proper options in CMakeLists.txt 2025-06-05T23:27:58.7929401Z extension_runner_util library is not found. 2025-06-05T23:27:58.7930300Z If needed rebuild with the proper options in CMakeLists.txt 2025-06-05T23:27:58.7931291Z extension_training library is not found. 2025-06-05T23:27:58.7932195Z If needed rebuild with the proper options in CMakeLists.txt 2025-06-05T23:27:58.7933011Z kleidiai library is not found. 2025-06-05T23:27:58.7933951Z If needed rebuild with the proper options in CMakeLists.txt 2025-06-05T23:27:58.7934773Z vulkan_backend library is not found. 2025-06-05T23:27:58.7935666Z If needed rebuild with the proper options in CMakeLists.txt 2025-06-05T23:27:58.7936534Z quantized_ops_aot_lib library is not found. 2025-06-05T23:27:58.7937446Z If needed rebuild with the proper options in CMakeLists.txt 2025-06-05T23:27:58.7938875Z -- executorch: Using source file list /pytorch/executorch/cmake-out/examples/models/llama/runner/../../../../executorch_srcs.cmake 2025-06-05T23:27:58.7940182Z -- Performing Test ABSL_INTERNAL_AT_LEAST_CXX17 2025-06-05T23:27:58.7940924Z -- Performing Test ABSL_INTERNAL_AT_LEAST_CXX17 - Success 2025-06-05T23:27:58.7941643Z -- Performing Test ABSL_INTERNAL_AT_LEAST_CXX20 2025-06-05T23:27:58.7942380Z -- Performing Test ABSL_INTERNAL_AT_LEAST_CXX20 - Failed 2025-06-05T23:27:58.7943065Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD 2025-06-05T23:27:58.7943751Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success 2025-06-05T23:27:58.7944377Z -- Found Threads: TRUE 2025-06-05T23:27:58.7946027Z CMake Deprecation Warning at /pytorch/executorch/extension/llm/tokenizers/third-party/sentencepiece/CMakeLists.txt:15 (cmake_minimum_required): 2025-06-05T23:27:58.7947737Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-06-05T23:27:58.7948456Z CMake. 2025-06-05T23:27:58.7948677Z 2025-06-05T23:27:58.7949078Z Update the VERSION argument value. 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libllama_runner.so 2025-06-05T23:38:49.7128874Z [100%] Built target llama_runner 2025-06-05T23:38:49.7129319Z [100%] Building CXX object CMakeFiles/llama_main.dir/main.cpp.o 2025-06-05T23:38:49.7129827Z [100%] Linking CXX executable llama_main 2025-06-05T23:38:49.7130152Z [100%] Built target llama_main 2025-06-05T23:38:49.7130436Z ++ date +%H:%M:%S 2025-06-05T23:38:49.7130639Z + NOW=23:28:09 2025-06-05T23:38:49.7130890Z + echo 'Starting to run llama runner at 23:28:09' 2025-06-05T23:38:49.7131239Z Starting to run llama runner at 23:28:09 2025-06-05T23:38:49.7132058Z + cmake-out/examples/models/llama/llama_main --model_path=tinyllama_qnn_fp32.pte --tokenizer_path=tokenizer.bin --prompt=Once --temperature=0 --seq_len=10 --warmup=1 2025-06-05T23:38:49.7133419Z Error parsing json file: [json.exception.parse_error.101] parse error at line 1, column 1: attempting to parse an empty input; check that your input string or stream contains the expected JSON 2025-06-05T23:38:49.7134620Z invalid char[INFO] [Qnn ExecuTorch]: Deserializing processed data using QnnContextCustomProtocol 2025-06-05T23:38:49.7135222Z [INFO] [Qnn ExecuTorch]: create QNN Logger with log_level 2 2025-06-05T23:38:49.7135765Z [WARNING] [Qnn ExecuTorch]: QnnDsp Initializing HtpProvider 2025-06-05T23:38:49.7136057Z 2025-06-05T23:38:49.7136339Z [INFO] [Qnn ExecuTorch]: Initialize Qnn backend parameters for Qnn executorch backend type 2 2025-06-05T23:38:49.7136917Z [INFO] [Qnn ExecuTorch]: Caching: Caching is in RESTORE MODE. 2025-06-05T23:38:49.7137522Z [INFO] [Qnn ExecuTorch]: QnnContextCustomProtocol expected magic number: 0x5678abcd but get: 0x2000000 2025-06-05T23:38:49.7138232Z [WARNING] [Qnn ExecuTorch]: QnnDsp Performance Estimates unsupported 2025-06-05T23:38:49.7138561Z 2025-06-05T23:38:49.7139005Z [WARNING] [Qnn ExecuTorch]: QnnDsp Arch 68 set by custom config is different from arch associated with SoC 57, will overwrite it to 75 2025-06-05T23:38:49.7139546Z 2025-06-05T23:38:49.7139690Z [INFO] [Qnn ExecuTorch]: Running level=3 optimization. 2025-06-05T23:38:49.7140095Z [INFO] [Qnn ExecuTorch]: Destroy Qnn backend parameters 2025-06-05T23:38:49.7140456Z [INFO] [Qnn ExecuTorch]: Destroy Qnn context 2025-06-05T23:38:49.7140793Z [INFO] [Qnn ExecuTorch]: Destroy Qnn device 2025-06-05T23:38:49.7141111Z [INFO] [Qnn ExecuTorch]: Destroy Qnn backend 2025-06-05T23:38:49.7141413Z ++ date +%H:%M:%S 2025-06-05T23:38:49.7141626Z + NOW=23:38:49 2025-06-05T23:38:49.7141865Z + echo 'Finished at 23:38:49' 2025-06-05T23:38:49.7142125Z Finished at 23:38:49 2025-06-05T23:38:49.7142340Z ++ cat result.txt 2025-06-05T23:38:49.7142607Z + RESULT='Once upon a time, there was a little girl 2025-06-05T23:38:49.7143977Z PyTorchObserver {"prompt_tokens":1,"generated_tokens":8,"model_load_start_ms":1749166089076,"model_load_end_ms":1749166089415,"inference_start_ms":1749166378958,"inference_end_ms":1749166729637,"prompt_eval_end_ms":1749166430539,"first_token_ms":1749166430539,"aggregate_sampling_time_ms":1,"SCALING_FACTOR_UNITS_PER_SECOND":1000}' 2025-06-05T23:38:49.7145397Z + EXPECTED_PREFIX='Once upon a time,' 2025-06-05T23:38:49.7145725Z + [[ Once upon a time, there was a little girl 2025-06-05T23:38:49.7147286Z PyTorchObserver {"prompt_tokens":1,"generated_tokens":8,"model_load_start_ms":1749166089076,"model_load_end_ms":1749166089415,"inference_start_ms":1749166378958,"inference_end_ms":1749166729637,"prompt_eval_end_ms":1749166430539,"first_token_ms":1749166430539,"aggregate_sampling_time_ms":1,"SCALING_FACTOR_UNITS_PER_SECOND":1000} == \O\n\c\e\ \u\p\o\n\ \a\ \t\i\m\e\,* ]] 2025-06-05T23:38:49.7148799Z + echo 'Expected result prefix: Once upon a time,' 2025-06-05T23:38:49.7149168Z Expected result prefix: Once upon a time, 2025-06-05T23:38:49.7149555Z + echo 'Actual result: Once upon a time, there was a little girl 2025-06-05T23:38:49.7151072Z PyTorchObserver {"prompt_tokens":1,"generated_tokens":8,"model_load_start_ms":1749166089076,"model_load_end_ms":1749166089415,"inference_start_ms":1749166378958,"inference_end_ms":1749166729637,"prompt_eval_end_ms":1749166430539,"first_token_ms":1749166430539,"aggregate_sampling_time_ms":1,"SCALING_FACTOR_UNITS_PER_SECOND":1000}' 2025-06-05T23:38:49.7152481Z Actual result: Once upon a time, there was a little girl 2025-06-05T23:38:49.7153870Z PyTorchObserver {"prompt_tokens":1,"generated_tokens":8,"model_load_start_ms":1749166089076,"model_load_end_ms":1749166089415,"inference_start_ms":1749166378958,"inference_end_ms":1749166729637,"prompt_eval_end_ms":1749166430539,"first_token_ms":1749166430539,"aggregate_sampling_time_ms":1,"SCALING_FACTOR_UNITS_PER_SECOND":1000} 2025-06-05T23:38:49.7155198Z + echo Success 2025-06-05T23:38:49.7155397Z Success 2025-06-05T23:38:49.7155611Z + prepare_artifacts_upload 2025-06-05T23:38:49.7155850Z + '[' -n '' ']' 2025-06-05T23:38:49.7156063Z + cleanup_files 2025-06-05T23:38:49.7156320Z + echo 'Deleting downloaded and generated files' 2025-06-05T23:38:49.7156656Z Deleting downloaded and generated files 2025-06-05T23:38:49.7156959Z + rm stories110M.pt 2025-06-05T23:38:49.7157177Z + rm tokenizer.model 2025-06-05T23:38:49.7157407Z + rm tokenizer.bin 2025-06-05T23:38:49.7157623Z + rm tinyllama_qnn_fp32.pte 2025-06-05T23:38:49.7157874Z + rm result.txt 2025-06-05T23:38:49.7158117Z + rm params.json 2025-06-05T23:38:49.7244135Z ##[group]Run pmeier/pytest-results-action@a2c1430e2bddadbad9f49a6f9b879f062c6b19b1 2025-06-05T23:38:49.7244638Z with: 2025-06-05T23:38:49.7244942Z path: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-06-05T23:38:49.7245340Z fail-on-empty: false 2025-06-05T23:38:49.7245562Z env: 2025-06-05T23:38:49.7245809Z DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk 2025-06-05T23:38:49.7246145Z REPOSITORY: pytorch/executorch 2025-06-05T23:38:49.7246416Z PR_NUMBER: 2025-06-05T23:38:49.7249545Z 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 "${CONDA_ENV}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./install_requirements.sh --use-pt-pinned-commit PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh # Setup executorch PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}" # Install requirements for export_llama PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh # Test llama2 PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}" 2025-06-05T23:38:49.7252949Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-06-05T23:38:49.7253527Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-06-05T23:38:49.7254122Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-06-05T23:38:49.7254486Z ##[endgroup] 2025-06-05T23:38:49.7865947Z Prepare all required actions 2025-06-05T23:38:49.7905014Z ##[group]Run ./test-infra/.github/actions/chown-directory 2025-06-05T23:38:49.7905379Z with: 2025-06-05T23:38:49.7905706Z directory: /home/ec2-user/actions-runner/_work/executorch/executorch/ 2025-06-05T23:38:49.7906258Z ALPINE_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine 2025-06-05T23:38:49.7906652Z env: 2025-06-05T23:38:49.7906895Z DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk 2025-06-05T23:38:49.7907230Z REPOSITORY: pytorch/executorch 2025-06-05T23:38:49.7907511Z PR_NUMBER: 2025-06-05T23:38:49.7910653Z 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}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./install_requirements.sh --use-pt-pinned-commit PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh # Setup executorch PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}" # Install requirements for export_llama PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh # Test llama2 PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}" 2025-06-05T23:38:49.7914052Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-06-05T23:38:49.7914611Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-06-05T23:38:49.7915149Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-06-05T23:38:49.7915527Z ##[endgroup] 2025-06-05T23:38:49.7939000Z ##[group]Run docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" . 2025-06-05T23:38:49.7939707Z docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" . 2025-06-05T23:38:49.7948564Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-06-05T23:38:49.7948934Z env: 2025-06-05T23:38:49.7949177Z DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk 2025-06-05T23:38:49.7949527Z REPOSITORY: pytorch/executorch 2025-06-05T23:38:49.7949788Z PR_NUMBER: 2025-06-05T23:38:49.7952990Z SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") conda activate "${CONDA_ENV}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./install_requirements.sh --use-pt-pinned-commit PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh # Setup executorch PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}" # Install requirements for export_llama PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh # Test llama2 PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}" 2025-06-05T23:38:49.7956290Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-06-05T23:38:49.7956862Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-06-05T23:38:49.7957398Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-06-05T23:38:49.7957899Z ALPINE_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine 2025-06-05T23:38:49.7958536Z DIRECTORY: /home/ec2-user/actions-runner/_work/executorch/executorch/ 2025-06-05T23:38:49.7958933Z ##[endgroup] 2025-06-05T23:38:49.8180828Z Unable to find image '308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine:latest' locally 2025-06-05T23:38:50.0442227Z latest: Pulling from tool/alpine 2025-06-05T23:38:50.0442747Z 540db60ca938: Pulling fs layer 2025-06-05T23:38:50.1426210Z 540db60ca938: Download complete 2025-06-05T23:38:50.2276314Z 540db60ca938: Pull complete 2025-06-05T23:38:50.2384147Z Digest: sha256:def822f9851ca422481ec6fee59a9966f12b351c62ccb9aca841526ffaa9f748 2025-06-05T23:38:50.2424523Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine:latest 2025-06-05T23:38:52.0767783Z Prepare all required actions 2025-06-05T23:38:52.0794440Z ##[group]Run ./test-infra/.github/actions/chown-directory 2025-06-05T23:38:52.0794795Z with: 2025-06-05T23:38:52.0795067Z directory: /home/ec2-user/actions-runner/_work/_temp 2025-06-05T23:38:52.0795546Z ALPINE_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine 2025-06-05T23:38:52.0795953Z env: 2025-06-05T23:38:52.0796182Z DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk 2025-06-05T23:38:52.0796529Z REPOSITORY: pytorch/executorch 2025-06-05T23:38:52.0796791Z PR_NUMBER: 2025-06-05T23:38:52.0799925Z 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}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./install_requirements.sh --use-pt-pinned-commit PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh # Setup executorch PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}" # Install requirements for export_llama PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh # Test llama2 PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}" 2025-06-05T23:38:52.0803232Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-06-05T23:38:52.0803802Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-06-05T23:38:52.0804329Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-06-05T23:38:52.0804706Z ##[endgroup] 2025-06-05T23:38:52.0828998Z ##[group]Run docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" . 2025-06-05T23:38:52.0829702Z docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" . 2025-06-05T23:38:52.0836824Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-06-05T23:38:52.0837198Z env: 2025-06-05T23:38:52.0837441Z DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk 2025-06-05T23:38:52.0837797Z REPOSITORY: pytorch/executorch 2025-06-05T23:38:52.0838065Z PR_NUMBER: 2025-06-05T23:38:52.0841172Z SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") conda activate "${CONDA_ENV}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./install_requirements.sh --use-pt-pinned-commit PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh # Setup executorch PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}" # Install requirements for export_llama PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh # Test llama2 PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}" 2025-06-05T23:38:52.0844467Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-06-05T23:38:52.0845074Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-06-05T23:38:52.0845720Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-06-05T23:38:52.0846225Z ALPINE_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine 2025-06-05T23:38:52.0846713Z DIRECTORY: /home/ec2-user/actions-runner/_work/_temp 2025-06-05T23:38:52.0847785Z ##[endgroup] 2025-06-05T23:38:53.2781634Z ##[group]Run # Only do these steps if we actually want to upload an artifact 2025-06-05T23:38:53.2782221Z # Only do these steps if we actually want to upload an artifact 2025-06-05T23:38:53.2782658Z if [[ -n "${UPLOAD_ARTIFACT_NAME}" ]]; then 2025-06-05T23:38:53.2783190Z  # If the default execution path is followed then we should get a wheel in the dist/ folder 2025-06-05T23:38:53.2783790Z  # attempt to just grab whatever is in there and scoop it all up 2025-06-05T23:38:53.2784262Z  if find "dist/" -name "*.whl" >/dev/null 2>/dev/null; then 2025-06-05T23:38:53.2784694Z  mv -v dist/*.whl "${RUNNER_ARTIFACT_DIR}/" 2025-06-05T23:38:53.2785007Z  fi 2025-06-05T23:38:53.2785280Z  if [[ -d "artifacts-to-be-uploaded" ]]; then 2025-06-05T23:38:53.2785726Z  mv -v artifacts-to-be-uploaded/* "${RUNNER_ARTIFACT_DIR}/" 2025-06-05T23:38:53.2786109Z  fi 2025-06-05T23:38:53.2786348Z fi 2025-06-05T23:38:53.2786552Z  2025-06-05T23:38:53.2786757Z upload_docs=0 2025-06-05T23:38:53.2787133Z # Check if there are files in the documentation folder to upload, note that 2025-06-05T23:38:53.2787584Z # empty folders do not count 2025-06-05T23:38:53.2788011Z if find "${RUNNER_DOCS_DIR}" -mindepth 1 -maxdepth 1 -type f | read -r; then 2025-06-05T23:38:53.2788602Z  # TODO: Add a check here to test if on ec2 because if we're not on ec2 then this 2025-06-05T23:38:53.2789073Z  # upload will probably not work correctly 2025-06-05T23:38:53.2789417Z  upload_docs=1 2025-06-05T23:38:53.2789666Z fi 2025-06-05T23:38:53.2789961Z echo "upload-docs=${upload_docs}" >> "${GITHUB_OUTPUT}" 2025-06-05T23:38:53.2795848Z shell: /usr/bin/bash -e {0} 2025-06-05T23:38:53.2796103Z env: 2025-06-05T23:38:53.2796358Z DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk 2025-06-05T23:38:53.2796714Z REPOSITORY: pytorch/executorch 2025-06-05T23:38:53.2796993Z PR_NUMBER: 2025-06-05T23:38:53.2800095Z 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}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./install_requirements.sh --use-pt-pinned-commit PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh # Setup executorch PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}" # Install requirements for export_llama PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh # Test llama2 PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}" 2025-06-05T23:38:53.2803400Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-06-05T23:38:53.2803970Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-06-05T23:38:53.2804511Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-06-05T23:38:53.2804888Z UPLOAD_ARTIFACT_NAME: 2025-06-05T23:38:53.2805133Z ##[endgroup] 2025-06-05T23:38:53.2933373Z Prepare all required actions 2025-06-05T23:38:53.2969811Z ##[group]Run ./test-infra/.github/actions/teardown-linux 2025-06-05T23:38:53.2970159Z with: 2025-06-05T23:38:53.2970353Z env: 2025-06-05T23:38:53.2970584Z DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk 2025-06-05T23:38:53.2970936Z REPOSITORY: pytorch/executorch 2025-06-05T23:38:53.2971291Z PR_NUMBER: 2025-06-05T23:38:53.2974695Z SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") conda activate "${CONDA_ENV}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./install_requirements.sh --use-pt-pinned-commit PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh # Setup executorch PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}" # Install requirements for export_llama PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh # Test llama2 PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}" 2025-06-05T23:38:53.2978120Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-06-05T23:38:53.2978686Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-06-05T23:38:53.2979226Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-06-05T23:38:53.2979592Z ##[endgroup] 2025-06-05T23:38:53.3004664Z ##[group]Run set -eou pipefail 2025-06-05T23:38:53.3005002Z set -eou pipefail 2025-06-05T23:38:53.3005258Z  2025-06-05T23:38:53.3005599Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2025-06-05T23:38:53.3006054Z for _ in $(seq 1440); do 2025-06-05T23:38:53.3006359Z  # Break if no ssh session exists anymore 2025-06-05T23:38:53.3006707Z  if [ "$(who)" = "" ]; then 2025-06-05T23:38:53.3006979Z  break 2025-06-05T23:38:53.3007200Z  fi 2025-06-05T23:38:53.3007399Z  echo "." 2025-06-05T23:38:53.3007632Z  sleep 5 2025-06-05T23:38:53.3007855Z done 2025-06-05T23:38:53.3013518Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-06-05T23:38:53.3013901Z env: 2025-06-05T23:38:53.3014142Z DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk 2025-06-05T23:38:53.3014497Z REPOSITORY: pytorch/executorch 2025-06-05T23:38:53.3014764Z PR_NUMBER: 2025-06-05T23:38:53.3017859Z 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}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./install_requirements.sh --use-pt-pinned-commit PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh # Setup executorch PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}" # Install requirements for export_llama PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh # Test llama2 PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}" 2025-06-05T23:38:53.3021139Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-06-05T23:38:53.3021716Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-06-05T23:38:53.3022254Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-06-05T23:38:53.3022617Z ##[endgroup] 2025-06-05T23:38:53.3045707Z Holding runner for 2 hours until all ssh sessions have logged out 2025-06-05T23:38:53.3130110Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-06-05T23:38:53.3130840Z # ignore expansion of "docker ps -q" since it could be empty 2025-06-05T23:38:53.3131248Z # shellcheck disable=SC2046 2025-06-05T23:38:53.3131570Z docker stop $(docker ps -q) || true 2025-06-05T23:38:53.3131892Z # Prune all of the docker images 2025-06-05T23:38:53.3132211Z docker system prune -af 2025-06-05T23:38:53.3137989Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-06-05T23:38:53.3138357Z env: 2025-06-05T23:38:53.3138597Z DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk 2025-06-05T23:38:53.3138951Z REPOSITORY: pytorch/executorch 2025-06-05T23:38:53.3139216Z PR_NUMBER: 2025-06-05T23:38:53.3142413Z SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") conda activate "${CONDA_ENV}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./install_requirements.sh --use-pt-pinned-commit PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh # Setup executorch PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}" # Install requirements for export_llama PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh # Test llama2 PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}" 2025-06-05T23:38:53.3145715Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-06-05T23:38:53.3146282Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-06-05T23:38:53.3146826Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-06-05T23:38:53.3147195Z ##[endgroup] 2025-06-05T23:39:04.3317618Z a8280cb0a260 2025-06-05T23:39:05.2955391Z Deleted Containers: 2025-06-05T23:39:05.2955843Z a8280cb0a26005c37ba648a77af857edf25c549cd5190e03bd8d57bebd1d944d 2025-06-05T23:39:05.2956203Z 2025-06-05T23:39:08.0438722Z Deleted Images: 2025-06-05T23:39:08.0439568Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-qnn-sdk:6019efcb31bb9f8cd1203f7a1f1de7a1a0e0ecaa 2025-06-05T23:39:08.0441011Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-qnn-sdk@sha256:a598771deb521efdcb258eacf60b9a9115e34a47e0ec6e3b41bd6a49ffb3adce 2025-06-05T23:39:08.0442062Z 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sha256:f862e1968e4b4c3c3af141e37d2ec22b19ec0fd50d6a8aaf683de6729e296226 2025-06-05T23:39:08.0466000Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine:latest 2025-06-05T23:39:08.0466844Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine@sha256:def822f9851ca422481ec6fee59a9966f12b351c62ccb9aca841526ffaa9f748 2025-06-05T23:39:08.0467728Z deleted: sha256:6dbb9cc54074106d46d4ccb330f2a40a682d49dda5f4844962b7dce9fe44aaec 2025-06-05T23:39:08.0468378Z deleted: sha256:b2d5eeeaba3a22b9b8aa97261957974a6bd65274ebd43e1d81d0a7b8b752b116 2025-06-05T23:39:08.0468762Z 2025-06-05T23:39:08.0483660Z Total reclaimed space: 19.03GB 2025-06-05T23:39:08.0539709Z ##[group]Run set +e 2025-06-05T23:39:08.0539988Z set +e 2025-06-05T23:39:08.0540219Z if [[ "${NO_SUDO}" == "false" ]]; then 2025-06-05T23:39:08.0540617Z  sudo rm -rf "${GITHUB_WORKSPACE:?}/${REPOSITORY:?}" 2025-06-05T23:39:08.0540959Z else 2025-06-05T23:39:08.0541226Z  rm -rf "${GITHUB_WORKSPACE:?}/${REPOSITORY:?}" 2025-06-05T23:39:08.0541562Z fi 2025-06-05T23:39:08.0541753Z set -e 2025-06-05T23:39:08.0547153Z shell: /usr/bin/bash -e {0} 2025-06-05T23:39:08.0547419Z env: 2025-06-05T23:39:08.0547688Z DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk 2025-06-05T23:39:08.0548036Z REPOSITORY: pytorch/executorch 2025-06-05T23:39:08.0548322Z PR_NUMBER: 2025-06-05T23:39:08.0551557Z SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") conda activate "${CONDA_ENV}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./install_requirements.sh --use-pt-pinned-commit PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh # Setup executorch PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}" # Install requirements for export_llama PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh # Test llama2 PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}" 2025-06-05T23:39:08.0554951Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-06-05T23:39:08.0555565Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-06-05T23:39:08.0556102Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-06-05T23:39:08.0556489Z NO_SUDO: false 2025-06-05T23:39:08.0556695Z ##[endgroup] 2025-06-05T23:39:09.7071766Z Post job cleanup. 2025-06-05T23:39:09.8127738Z Post job cleanup. 2025-06-05T23:39:09.9084602Z [command]/usr/bin/git version 2025-06-05T23:39:09.9136776Z git version 2.47.1 2025-06-05T23:39:09.9179105Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/f9db3660-c535-4c98-a96b-a3b3aec54e07' before making global git config changes 2025-06-05T23:39:09.9180068Z Adding repository directory to the temporary git global config as a safe directory 2025-06-05T23:39:09.9184671Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/executorch/executorch/test-infra 2025-06-05T23:39:09.9216336Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-06-05T23:39:09.9253710Z [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' || :" 2025-06-05T23:39:09.9539896Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-06-05T23:39:09.9558546Z http.https://github.com/.extraheader 2025-06-05T23:39:09.9568760Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-06-05T23:39:09.9593973Z [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' || :" 2025-06-05T23:39:09.9904348Z A job completed hook has been configured by the self-hosted runner administrator 2025-06-05T23:39:09.9929949Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh' 2025-06-05T23:39:09.9935137Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-06-05T23:39:09.9935528Z ##[endgroup] 2025-06-05T23:39:16.9858659Z Cleaning up orphan processes