2025-03-21T20:17:32.6624762Z Current runner version: '2.322.0'
2025-03-21T20:17:32.6636550Z Runner name: 'i-075678f2f3b4f7e9c'
2025-03-21T20:17:32.6638190Z Runner group name: 'Default'
2025-03-21T20:17:32.6640179Z Machine name: 'ip-10-0-58-19'
2025-03-21T20:17:32.6646455Z ##[group]GITHUB_TOKEN Permissions
2025-03-21T20:17:32.6650807Z Contents: read
2025-03-21T20:17:32.6651912Z Metadata: read
2025-03-21T20:17:32.6653048Z ##[endgroup]
2025-03-21T20:17:32.6658153Z Secret source: Actions
2025-03-21T20:17:32.6659582Z Prepare workflow directory
2025-03-21T20:17:33.1940631Z Prepare all required actions
2025-03-21T20:17:33.2000432Z Getting action download info
2025-03-21T20:17:33.4231930Z Download action repository 'actions/checkout@v4' (SHA:11bd71901bbe5b1630ceea73d27597364c9af683)
2025-03-21T20:17:33.7032768Z Download action repository 'pytorch/pytorch@main' (SHA:c5deacc27a4a29fa141e179535d56d21a0eb734f)
2025-03-21T20:17:47.7425579Z Download action repository 'actions/download-artifact@v4' (SHA:95815c38cf2ff2164869cbab79da8d1f422bc89e)
2025-03-21T20:17:48.0754042Z Download action repository 'pmeier/pytest-results-action@v0.3.0' (SHA:a2c1430e2bddadbad9f49a6f9b879f062c6b19b1)
2025-03-21T20:17:48.1888993Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02)
2025-03-21T20:17:48.6078028Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-03-21T20:17:48.9176634Z Getting action download info
2025-03-21T20:17:49.1009657Z Uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@refs/heads/main (c1d92bc76c9d8ecf59b36ef10588c9605c8578d1)
2025-03-21T20:17:49.1012992Z ##[group] Inputs
2025-03-21T20:17:49.1015529Z   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}"

MODEL_NAME=ic4
BUILD_TOOL="cmake"
BACKEND=portable

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Build and test ExecuTorch
PYTHON_EXECUTABLE=python bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "${BACKEND}"

2025-03-21T20:17:49.1018836Z   timeout: 90
2025-03-21T20:17:49.1019234Z   runner: linux.arm64.2xlarge
2025-03-21T20:17:49.1019681Z   upload-artifact: 
2025-03-21T20:17:49.1020538Z   upload-artifact-to-s3: false
2025-03-21T20:17:49.1021009Z   download-artifact: 
2025-03-21T20:17:49.1021384Z   repository: 
2025-03-21T20:17:49.1021765Z   fetch-depth: 1
2025-03-21T20:17:49.1022147Z   submodules: true
2025-03-21T20:17:49.1022579Z   ref: be92d7d85cb7081ac0a544036da4096a4efa33a8
2025-03-21T20:17:49.1023132Z   test-infra-repository: pytorch/test-infra
2025-03-21T20:17:49.1023618Z   test-infra-ref: 
2025-03-21T20:17:49.1024082Z   docker-image: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:17:49.1024648Z   docker-build-dir: .ci/docker
2025-03-21T20:17:49.1025083Z   gpu-arch-type: cpu
2025-03-21T20:17:49.1025474Z   gpu-arch-version: 
2025-03-21T20:17:49.1025873Z   job-name: linux-job
2025-03-21T20:17:49.1026282Z   continue-on-error: false
2025-03-21T20:17:49.1026716Z   binary-matrix: 
2025-03-21T20:17:49.1027137Z   run-with-docker: true
2025-03-21T20:17:49.1027535Z   secrets-env: 
2025-03-21T20:17:49.1027886Z   no-sudo: false
2025-03-21T20:17:49.1028280Z ##[endgroup]
2025-03-21T20:17:49.1028813Z Complete job name: test-models-linux-aarch64 (ic4, portable) / linux-job
2025-03-21T20:17:49.1730857Z A job started hook has been configured by the self-hosted runner administrator
2025-03-21T20:17:49.1892174Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh'
2025-03-21T20:17:49.1905800Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:17:49.1907007Z ##[endgroup]
2025-03-21T20:17:50.6752026Z Runner Type: linux.arm64.2xlarge
2025-03-21T20:17:50.6752727Z Instance Type: t4g.2xlarge
2025-03-21T20:17:50.6753174Z AMI Name: unknown
2025-03-21T20:17:50.6787352Z AMI ID: ami-0eae2a0fc13b15fce
2025-03-21T20:17:58.4675799Z ##[group]Run set -euxo pipefail
2025-03-21T20:17:58.4676434Z set -euxo pipefail
2025-03-21T20:17:58.4677261Z if [[ "${NO_SUDO}" == "false" ]]; then
2025-03-21T20:17:58.4677839Z   echo "::group::Cleanup with-sudo debug output"
2025-03-21T20:17:58.4678414Z   sudo rm -rfv "${GITHUB_WORKSPACE}"
2025-03-21T20:17:58.4678876Z else
2025-03-21T20:17:58.4679298Z   echo "::group::Cleanup no-sudo debug output"
2025-03-21T20:17:58.4679853Z   rm -rfv "${GITHUB_WORKSPACE}"
2025-03-21T20:17:58.4680311Z fi
2025-03-21T20:17:58.4680635Z 
2025-03-21T20:17:58.4681011Z mkdir -p "${GITHUB_WORKSPACE}"
2025-03-21T20:17:58.4681491Z echo "::endgroup::"
2025-03-21T20:17:58.4694542Z shell: /usr/bin/bash -e {0}
2025-03-21T20:17:58.4694973Z env:
2025-03-21T20:17:58.4695387Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:17:58.4695944Z   REPOSITORY: pytorch/executorch
2025-03-21T20:17:58.4696441Z   PR_NUMBER: 
2025-03-21T20:17:58.4698797Z   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}"

MODEL_NAME=ic4
BUILD_TOOL="cmake"
BACKEND=portable

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Build and test ExecuTorch
PYTHON_EXECUTABLE=python bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "${BACKEND}"

2025-03-21T20:17:58.4701295Z   NO_SUDO: false
2025-03-21T20:17:58.4701664Z ##[endgroup]
2025-03-21T20:17:58.4739208Z + [[ false == \f\a\l\s\e ]]
2025-03-21T20:17:58.4760252Z ##[group]Cleanup with-sudo debug output
2025-03-21T20:17:58.4764738Z + echo '::group::Cleanup with-sudo debug output'
2025-03-21T20:17:58.4765473Z + sudo rm -rfv /home/ec2-user/actions-runner/_work/executorch/executorch
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2025-03-21T20:17:58.8311163Z + mkdir -p /home/ec2-user/actions-runner/_work/executorch/executorch
2025-03-21T20:17:58.8311524Z + echo ::endgroup::
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2025-03-21T20:17:58.8423429Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/styles'
2025-03-21T20:17:58.8423997Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/autoCcBot.test.ts'
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2025-03-21T20:17:58.8425257Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/autoLabelCodevTrunk.test.ts'
2025-03-21T20:17:58.8425962Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/cancelWorkflowsOnCloseBot.test.ts'
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2025-03-21T20:17:58.8427228Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/closeCommands.test.ts'
2025-03-21T20:17:58.8427882Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/codevNoWritePermBot.test.ts'
2025-03-21T20:17:58.8428392Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/common.ts'
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2025-03-21T20:17:58.8430686Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/drciUtils.test.ts'
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2025-03-21T20:17:58.8444954Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/fixtures/push-trigger/pull_request.labeled.json'
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2025-03-21T20:17:58.8447312Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/fixtures/push-trigger'
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2025-03-21T20:17:58.8449346Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/fixtures/workflow_job.queued.json'
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2025-03-21T20:17:58.8451254Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/fixtures'
2025-03-21T20:17:58.8451823Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/jobUtils.test.ts'
2025-03-21T20:17:58.8452431Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/labelCommands.test.ts'
2025-03-21T20:17:58.8453038Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/mergeCommands.test.ts'
2025-03-21T20:17:58.8453634Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/metricUtils.test.ts'
2025-03-21T20:17:58.8454163Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/reporter.js'
2025-03-21T20:17:58.8454734Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/retryBot.test.ts'
2025-03-21T20:17:58.8455319Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/searchUtils.test.ts'
2025-03-21T20:17:58.8455835Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/setup.ts'
2025-03-21T20:17:58.8456719Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/stripApprovals.test.ts'
2025-03-21T20:17:58.8457364Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/subscriptions.test.ts'
2025-03-21T20:17:58.8458259Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/triggerCircleCIWorkflows.test.ts'
2025-03-21T20:17:58.8458958Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/triggerInductorTestsBot.test.ts'
2025-03-21T20:17:58.8459499Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/utils.test.ts'
2025-03-21T20:17:58.8460010Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/utils.ts'
2025-03-21T20:17:58.8460691Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/verifyDisableTestIssue.test.ts'
2025-03-21T20:17:58.8461329Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/wehookToDynamoBot.test.ts'
2025-03-21T20:17:58.8461852Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test'
2025-03-21T20:17:58.8462378Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/tsconfig.json'
2025-03-21T20:17:58.8462951Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/types/next-auth-d.ts'
2025-03-21T20:17:58.8463471Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/types'
2025-03-21T20:17:58.8463956Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/yarn.lock'
2025-03-21T20:17:58.8464432Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci'
2025-03-21T20:17:58.8464870Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra'
2025-03-21T20:17:58.8465286Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch'
2025-03-21T20:17:58.8465664Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch'
2025-03-21T20:17:58.8466588Z ##[endgroup]
2025-03-21T20:17:58.8627205Z ##[group]Run actions/checkout@v4
2025-03-21T20:17:58.8627417Z with:
2025-03-21T20:17:58.8627640Z   repository: pytorch/test-infra
2025-03-21T20:17:58.8627805Z   path: test-infra
2025-03-21T20:17:58.8627959Z   submodules: recursive
2025-03-21T20:17:58.8628356Z   token: ***
2025-03-21T20:17:58.8628512Z   ssh-strict: true
2025-03-21T20:17:58.8628659Z   ssh-user: git
2025-03-21T20:17:58.8628833Z   persist-credentials: true
2025-03-21T20:17:58.8628978Z   clean: true
2025-03-21T20:17:58.8629171Z   sparse-checkout-cone-mode: true
2025-03-21T20:17:58.8629327Z   fetch-depth: 1
2025-03-21T20:17:58.8629494Z   fetch-tags: false
2025-03-21T20:17:58.8629654Z   show-progress: true
2025-03-21T20:17:58.8629799Z   lfs: false
2025-03-21T20:17:58.8629977Z   set-safe-directory: true
2025-03-21T20:17:58.8630175Z env:
2025-03-21T20:17:58.8630433Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:17:58.8630612Z   REPOSITORY: pytorch/executorch
2025-03-21T20:17:58.8630795Z   PR_NUMBER: 
2025-03-21T20:17:58.8633028Z   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}"

MODEL_NAME=ic4
BUILD_TOOL="cmake"
BACKEND=portable

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Build and test ExecuTorch
PYTHON_EXECUTABLE=python bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "${BACKEND}"

2025-03-21T20:17:58.8633242Z ##[endgroup]
2025-03-21T20:17:59.0098393Z Syncing repository: pytorch/test-infra
2025-03-21T20:17:59.0099546Z ##[group]Getting Git version info
2025-03-21T20:17:59.0100327Z Working directory is '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra'
2025-03-21T20:17:59.0101376Z [command]/usr/bin/git version
2025-03-21T20:17:59.0101796Z git version 2.47.1
2025-03-21T20:17:59.0125511Z ##[endgroup]
2025-03-21T20:17:59.0144609Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/a2aa1ca3-d6de-4a91-b46d-6a8ca6f00f8f' before making global git config changes
2025-03-21T20:17:59.0146411Z Adding repository directory to the temporary git global config as a safe directory
2025-03-21T20:17:59.0154507Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/executorch/executorch/test-infra
2025-03-21T20:17:59.0205601Z ##[group]Initializing the repository
2025-03-21T20:17:59.0214429Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/executorch/executorch/test-infra
2025-03-21T20:17:59.0253468Z hint: Using 'master' as the name for the initial branch. This default branch name
2025-03-21T20:17:59.0254373Z hint: is subject to change. To configure the initial branch name to use in all
2025-03-21T20:17:59.0255202Z hint: of your new repositories, which will suppress this warning, call:
2025-03-21T20:17:59.0255809Z hint:
2025-03-21T20:17:59.0256235Z hint: 	git config --global init.defaultBranch <name>
2025-03-21T20:17:59.0256809Z hint:
2025-03-21T20:17:59.0257341Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2025-03-21T20:17:59.0258182Z hint: 'development'. The just-created branch can be renamed via this command:
2025-03-21T20:17:59.0258821Z hint:
2025-03-21T20:17:59.0259184Z hint: 	git branch -m <name>
2025-03-21T20:17:59.0260037Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/.git/
2025-03-21T20:17:59.0272410Z [command]/usr/bin/git remote add origin https://github.com/pytorch/test-infra
2025-03-21T20:17:59.0308206Z ##[endgroup]
2025-03-21T20:17:59.0308900Z ##[group]Disabling automatic garbage collection
2025-03-21T20:17:59.0316908Z [command]/usr/bin/git config --local gc.auto 0
2025-03-21T20:17:59.0353359Z ##[endgroup]
2025-03-21T20:17:59.0354004Z ##[group]Setting up auth
2025-03-21T20:17:59.0362656Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-03-21T20:17:59.0400255Z [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' || :"
2025-03-21T20:17:59.0727936Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-03-21T20:17:59.0763834Z [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' || :"
2025-03-21T20:17:59.1092940Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-03-21T20:17:59.1149910Z ##[endgroup]
2025-03-21T20:17:59.1150654Z ##[group]Determining the default branch
2025-03-21T20:17:59.1154587Z Retrieving the default branch name
2025-03-21T20:17:59.3386259Z Default branch 'main'
2025-03-21T20:17:59.3387200Z ##[endgroup]
2025-03-21T20:17:59.3387835Z ##[group]Fetching the repository
2025-03-21T20:17:59.3395406Z [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
2025-03-21T20:17:59.7199283Z From https://github.com/pytorch/test-infra
2025-03-21T20:17:59.7199909Z  * [new branch]      main       -> origin/main
2025-03-21T20:17:59.7228067Z ##[endgroup]
2025-03-21T20:17:59.7228708Z ##[group]Determining the checkout info
2025-03-21T20:17:59.7229492Z ##[endgroup]
2025-03-21T20:17:59.7236157Z [command]/usr/bin/git sparse-checkout disable
2025-03-21T20:17:59.7287164Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig
2025-03-21T20:17:59.7331606Z ##[group]Checking out the ref
2025-03-21T20:17:59.7336633Z [command]/usr/bin/git checkout --progress --force -B main refs/remotes/origin/main
2025-03-21T20:17:59.8299568Z Switched to a new branch 'main'
2025-03-21T20:17:59.8300140Z branch 'main' set up to track 'origin/main'.
2025-03-21T20:17:59.8310143Z ##[endgroup]
2025-03-21T20:17:59.8310811Z ##[group]Setting up auth for fetching submodules
2025-03-21T20:17:59.8318268Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-03-21T20:17:59.8379136Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2025-03-21T20:17:59.8423422Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2025-03-21T20:17:59.8466600Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2025-03-21T20:17:59.8505056Z ##[endgroup]
2025-03-21T20:17:59.8505684Z ##[group]Fetching submodules
2025-03-21T20:17:59.8510655Z [command]/usr/bin/git submodule sync --recursive
2025-03-21T20:17:59.8848456Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --depth=1 --recursive
2025-03-21T20:17:59.9175735Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0
2025-03-21T20:17:59.9496072Z ##[endgroup]
2025-03-21T20:17:59.9497003Z ##[group]Persisting credentials for submodules
2025-03-21T20:17:59.9503455Z [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' || :"
2025-03-21T20:17:59.9832429Z [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"
2025-03-21T20:18:00.0171079Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:'
2025-03-21T20:18:00.0527554Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2025-03-21T20:18:00.0868478Z ##[endgroup]
2025-03-21T20:18:00.0919369Z [command]/usr/bin/git log -1 --format=%H
2025-03-21T20:18:00.0952795Z c1d92bc76c9d8ecf59b36ef10588c9605c8578d1
2025-03-21T20:18:00.1300736Z Prepare all required actions
2025-03-21T20:18:00.1301691Z Getting action download info
2025-03-21T20:18:00.2190082Z Download action repository 'pytorch/test-infra@main' (SHA:c1d92bc76c9d8ecf59b36ef10588c9605c8578d1)
2025-03-21T20:18:01.7087407Z Getting action download info
2025-03-21T20:18:01.8726973Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482)
2025-03-21T20:18:02.0650546Z ##[group]Run ./test-infra/.github/actions/setup-linux
2025-03-21T20:18:02.0651048Z env:
2025-03-21T20:18:02.0651458Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:18:02.0652002Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:02.0652433Z   PR_NUMBER: 
2025-03-21T20:18:02.0654791Z   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}"

MODEL_NAME=ic4
BUILD_TOOL="cmake"
BACKEND=portable

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Build and test ExecuTorch
PYTHON_EXECUTABLE=python bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "${BACKEND}"

2025-03-21T20:18:02.0657225Z ##[endgroup]
2025-03-21T20:18:02.0782218Z ##[group]Run set -euo pipefail
2025-03-21T20:18:02.0782743Z set -euo pipefail
2025-03-21T20:18:02.0783175Z function get_ec2_metadata() {
2025-03-21T20:18:02.0783714Z   # Pulled from instance metadata endpoint for EC2
2025-03-21T20:18:02.0784616Z   # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
2025-03-21T20:18:02.0785411Z   category=$1
2025-03-21T20:18:02.0786641Z   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}"
2025-03-21T20:18:02.0788343Z }
2025-03-21T20:18:02.0788737Z echo "ami-id: $(get_ec2_metadata ami-id)"
2025-03-21T20:18:02.0789340Z echo "instance-id: $(get_ec2_metadata instance-id)"
2025-03-21T20:18:02.0790006Z echo "instance-type: $(get_ec2_metadata instance-type)"
2025-03-21T20:18:02.0790598Z echo "system info $(uname -a)"
2025-03-21T20:18:02.0798305Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:02.0798848Z env:
2025-03-21T20:18:02.0799259Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:18:02.0799833Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:02.0800242Z   PR_NUMBER: 
2025-03-21T20:18:02.0802526Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

MODEL_NAME=ic4
BUILD_TOOL="cmake"
BACKEND=portable

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Build and test ExecuTorch
PYTHON_EXECUTABLE=python bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "${BACKEND}"

2025-03-21T20:18:02.0804912Z ##[endgroup]
2025-03-21T20:18:02.0979059Z ami-id: ami-0eae2a0fc13b15fce
2025-03-21T20:18:02.1102480Z instance-id: i-075678f2f3b4f7e9c
2025-03-21T20:18:02.1222427Z instance-type: t4g.2xlarge
2025-03-21T20:18:02.1234743Z system info Linux ip-10-0-58-19.ec2.internal 6.1.129-138.220.amzn2023.aarch64 #1 SMP Tue Feb 25 22:18:13 UTC 2025 aarch64 aarch64 aarch64 GNU/Linux
2025-03-21T20:18:02.1285557Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-03-21T20:18:02.1287013Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-03-21T20:18:02.1294933Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:02.1295467Z env:
2025-03-21T20:18:02.1296265Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:18:02.1296879Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:02.1297300Z   PR_NUMBER: 
2025-03-21T20:18:02.1299599Z   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}"

MODEL_NAME=ic4
BUILD_TOOL="cmake"
BACKEND=portable

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Build and test ExecuTorch
PYTHON_EXECUTABLE=python bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "${BACKEND}"

2025-03-21T20:18:02.1301996Z ##[endgroup]
2025-03-21T20:18:02.1401146Z ##[group]Run if systemctl is-active --quiet docker; then
2025-03-21T20:18:02.1401804Z if systemctl is-active --quiet docker; then
2025-03-21T20:18:02.1402365Z     echo "Docker daemon is running...";
2025-03-21T20:18:02.1402876Z else
2025-03-21T20:18:02.1403415Z     echo "Starting docker deamon..." && sudo systemctl start docker;
2025-03-21T20:18:02.1404047Z fi
2025-03-21T20:18:02.1411707Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:02.1412261Z env:
2025-03-21T20:18:02.1412666Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:18:02.1413219Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:02.1413633Z   PR_NUMBER: 
2025-03-21T20:18:02.1415922Z   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}"

MODEL_NAME=ic4
BUILD_TOOL="cmake"
BACKEND=portable

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Build and test ExecuTorch
PYTHON_EXECUTABLE=python bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "${BACKEND}"

2025-03-21T20:18:02.1418310Z ##[endgroup]
2025-03-21T20:18:02.1507744Z Docker daemon is running...
2025-03-21T20:18:02.1549648Z ##[group]Run AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\")
2025-03-21T20:18:02.1550867Z AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\")
2025-03-21T20:18:02.1551606Z retry () { "$@"  || (sleep 1 && "$@") || (sleep 2 && "$@") }
2025-03-21T20:18:02.1552473Z retry aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \
2025-03-21T20:18:02.1553482Z     --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com"
2025-03-21T20:18:02.1561352Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:02.1561887Z env:
2025-03-21T20:18:02.1562296Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:18:02.1562842Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:02.1563259Z   PR_NUMBER: 
2025-03-21T20:18:02.1565559Z   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}"

MODEL_NAME=ic4
BUILD_TOOL="cmake"
BACKEND=portable

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Build and test ExecuTorch
PYTHON_EXECUTABLE=python bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "${BACKEND}"

2025-03-21T20:18:02.1568112Z   AWS_RETRY_MODE: standard
2025-03-21T20:18:02.1568502Z   AWS_MAX_ATTEMPTS: 5
2025-03-21T20:18:02.1568886Z   AWS_DEFAULT_REGION: us-east-1
2025-03-21T20:18:02.1569288Z ##[endgroup]
2025-03-21T20:18:03.5741270Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-03-21T20:18:03.5742148Z Configure a credential helper to remove this warning. See
2025-03-21T20:18:03.5742966Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-03-21T20:18:03.5743511Z 
2025-03-21T20:18:03.5743673Z Login Succeeded
2025-03-21T20:18:03.5801878Z ##[group]Run env | grep '^GITHUB' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}"
2025-03-21T20:18:03.5803067Z env | grep '^GITHUB' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}"
2025-03-21T20:18:03.5803830Z env | grep '^CI' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}"
2025-03-21T20:18:03.5811767Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:03.5812306Z env:
2025-03-21T20:18:03.5812723Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:18:03.5813271Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:03.5813685Z   PR_NUMBER: 
2025-03-21T20:18:03.5815972Z   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}"

MODEL_NAME=ic4
BUILD_TOOL="cmake"
BACKEND=portable

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Build and test ExecuTorch
PYTHON_EXECUTABLE=python bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "${BACKEND}"

2025-03-21T20:18:03.5818354Z ##[endgroup]
2025-03-21T20:18:03.5922820Z ##[group]Run RUNNER_ARTIFACT_DIR="${RUNNER_TEMP}/artifacts"
2025-03-21T20:18:03.5923543Z RUNNER_ARTIFACT_DIR="${RUNNER_TEMP}/artifacts"
2025-03-21T20:18:03.5924123Z sudo rm -rf "${RUNNER_ARTIFACT_DIR}"
2025-03-21T20:18:03.5924654Z mkdir -p "${RUNNER_ARTIFACT_DIR}"
2025-03-21T20:18:03.5925297Z echo "RUNNER_ARTIFACT_DIR=${RUNNER_ARTIFACT_DIR}" >> "${GITHUB_ENV}"
2025-03-21T20:18:03.5926046Z 
2025-03-21T20:18:03.5926503Z RUNNER_TEST_RESULTS_DIR="${RUNNER_TEMP}/test-results"
2025-03-21T20:18:03.5927123Z sudo rm -rf "${RUNNER_TEST_RESULTS_DIR}"
2025-03-21T20:18:03.5927664Z mkdir -p "${RUNNER_TEST_RESULTS_DIR}"
2025-03-21T20:18:03.5928361Z echo "RUNNER_TEST_RESULTS_DIR=${RUNNER_TEST_RESULTS_DIR}" >> "${GITHUB_ENV}"
2025-03-21T20:18:03.5929010Z 
2025-03-21T20:18:03.5929384Z RUNNER_DOCS_DIR="${RUNNER_TEMP}/docs"
2025-03-21T20:18:03.5929892Z sudo rm -rf "${RUNNER_DOCS_DIR}"
2025-03-21T20:18:03.5930760Z mkdir -p "${RUNNER_DOCS_DIR}"
2025-03-21T20:18:03.5931364Z echo "RUNNER_DOCS_DIR=${RUNNER_DOCS_DIR}" >> "${GITHUB_ENV}"
2025-03-21T20:18:03.5939277Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:03.5940085Z env:
2025-03-21T20:18:03.5940500Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:18:03.5941046Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:03.5941458Z   PR_NUMBER: 
2025-03-21T20:18:03.5943735Z   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}"

MODEL_NAME=ic4
BUILD_TOOL="cmake"
BACKEND=portable

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Build and test ExecuTorch
PYTHON_EXECUTABLE=python bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "${BACKEND}"

2025-03-21T20:18:03.5946108Z ##[endgroup]
2025-03-21T20:18:03.7439486Z ##[group]Run needs=0
2025-03-21T20:18:03.7440395Z needs=0
2025-03-21T20:18:03.7440930Z if lspci -v | grep -e 'controller.*NVIDIA' >/dev/null 2>/dev/null; then
2025-03-21T20:18:03.7441698Z   needs=1
2025-03-21T20:18:03.7442079Z fi
2025-03-21T20:18:03.7442543Z echo "does=${needs}" >> $GITHUB_OUTPUT
2025-03-21T20:18:03.7451034Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:03.7451702Z env:
2025-03-21T20:18:03.7452102Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:18:03.7452642Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:03.7453048Z   PR_NUMBER: 
2025-03-21T20:18:03.7455804Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

MODEL_NAME=ic4
BUILD_TOOL="cmake"
BACKEND=portable

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Build and test ExecuTorch
PYTHON_EXECUTABLE=python bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "${BACKEND}"

2025-03-21T20:18:03.7458518Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:03.7459425Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:03.7460215Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:03.7460778Z ##[endgroup]
2025-03-21T20:18:03.7713358Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-03-21T20:18:03.7714194Z # ignore expansion of "docker ps -q" since it could be empty
2025-03-21T20:18:03.7714808Z # shellcheck disable=SC2046
2025-03-21T20:18:03.7715290Z docker stop $(docker ps -q) || true
2025-03-21T20:18:03.7715791Z # Prune all of the docker images
2025-03-21T20:18:03.7716261Z docker system prune -af
2025-03-21T20:18:03.7723909Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:03.7724474Z env:
2025-03-21T20:18:03.7724875Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:18:03.7725419Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:03.7725960Z   PR_NUMBER: 
2025-03-21T20:18:03.7728262Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

MODEL_NAME=ic4
BUILD_TOOL="cmake"
BACKEND=portable

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Build and test ExecuTorch
PYTHON_EXECUTABLE=python bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "${BACKEND}"

2025-03-21T20:18:03.7730822Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:03.7731652Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:03.7732434Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:03.7733367Z ##[endgroup]
2025-03-21T20:18:03.8008674Z "docker stop" requires at least 1 argument.
2025-03-21T20:18:03.8009241Z See 'docker stop --help'.
2025-03-21T20:18:03.8009499Z 
2025-03-21T20:18:03.8009745Z Usage:  docker stop [OPTIONS] CONTAINER [CONTAINER...]
2025-03-21T20:18:03.8010131Z 
2025-03-21T20:18:03.8010308Z Stop one or more running containers
2025-03-21T20:18:03.8179894Z Total reclaimed space: 0B
2025-03-21T20:18:03.8284537Z ##[group]Run ./test-infra/.github/actions/setup-ssh
2025-03-21T20:18:03.8285115Z with:
2025-03-21T20:18:03.8285730Z   github-secret: ***
2025-03-21T20:18:03.8286822Z   instructions: All testing is done inside the container, to start an interactive session run:
   docker exec -it $(docker container ps --format '{{.ID}}') bash

2025-03-21T20:18:03.8287880Z   activate-with-label: false
2025-03-21T20:18:03.8288273Z   label: with-ssh
2025-03-21T20:18:03.8288630Z   remove-existing-keys: true
2025-03-21T20:18:03.8289036Z   fail-silently: true
2025-03-21T20:18:03.8289396Z env:
2025-03-21T20:18:03.8289784Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:18:03.8290322Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:03.8290729Z   PR_NUMBER: 
2025-03-21T20:18:03.8293066Z   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}"

MODEL_NAME=ic4
BUILD_TOOL="cmake"
BACKEND=portable

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Build and test ExecuTorch
PYTHON_EXECUTABLE=python bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "${BACKEND}"

2025-03-21T20:18:03.8295657Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:03.8296479Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:03.8297259Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:03.8297818Z ##[endgroup]
2025-03-21T20:18:03.9669007Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info.
2025-03-21T20:18:03.9671111Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys
2025-03-21T20:18:03.9839506Z ##[group]Run actions/checkout@v4
2025-03-21T20:18:03.9840300Z with:
2025-03-21T20:18:03.9840647Z   repository: pytorch/executorch
2025-03-21T20:18:03.9841127Z   ref: be92d7d85cb7081ac0a544036da4096a4efa33a8
2025-03-21T20:18:03.9841618Z   path: pytorch/executorch
2025-03-21T20:18:03.9842013Z   fetch-depth: 1
2025-03-21T20:18:03.9842359Z   submodules: true
2025-03-21T20:18:03.9842960Z   token: ***
2025-03-21T20:18:03.9843303Z   ssh-strict: true
2025-03-21T20:18:03.9843655Z   ssh-user: git
2025-03-21T20:18:03.9844011Z   persist-credentials: true
2025-03-21T20:18:03.9844403Z   clean: true
2025-03-21T20:18:03.9844760Z   sparse-checkout-cone-mode: true
2025-03-21T20:18:03.9845191Z   fetch-tags: false
2025-03-21T20:18:03.9845579Z   show-progress: true
2025-03-21T20:18:03.9846034Z   lfs: false
2025-03-21T20:18:03.9846381Z   set-safe-directory: true
2025-03-21T20:18:03.9846754Z env:
2025-03-21T20:18:03.9847155Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:18:03.9847753Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:03.9848173Z   PR_NUMBER: 
2025-03-21T20:18:03.9850465Z   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}"

MODEL_NAME=ic4
BUILD_TOOL="cmake"
BACKEND=portable

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Build and test ExecuTorch
PYTHON_EXECUTABLE=python bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "${BACKEND}"

2025-03-21T20:18:03.9853037Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:03.9853869Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:03.9855076Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:03.9855644Z ##[endgroup]
2025-03-21T20:18:04.1106064Z Syncing repository: pytorch/executorch
2025-03-21T20:18:04.1117618Z ##[group]Getting Git version info
2025-03-21T20:18:04.1118465Z Working directory is '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch'
2025-03-21T20:18:04.1156524Z [command]/usr/bin/git version
2025-03-21T20:18:04.1206456Z git version 2.47.1
2025-03-21T20:18:04.1242304Z ##[endgroup]
2025-03-21T20:18:04.1260740Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/490bbcad-6179-40cb-ae07-0c8684357ffa' before making global git config changes
2025-03-21T20:18:04.1262096Z Adding repository directory to the temporary git global config as a safe directory
2025-03-21T20:18:04.1269819Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch
2025-03-21T20:18:04.1313776Z ##[group]Initializing the repository
2025-03-21T20:18:04.1322231Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch
2025-03-21T20:18:04.1359760Z hint: Using 'master' as the name for the initial branch. This default branch name
2025-03-21T20:18:04.1360690Z hint: is subject to change. To configure the initial branch name to use in all
2025-03-21T20:18:04.1361552Z hint: of your new repositories, which will suppress this warning, call:
2025-03-21T20:18:04.1362263Z hint:
2025-03-21T20:18:04.1362742Z hint: 	git config --global init.defaultBranch <name>
2025-03-21T20:18:04.1363331Z hint:
2025-03-21T20:18:04.1363850Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2025-03-21T20:18:04.1364693Z hint: 'development'. The just-created branch can be renamed via this command:
2025-03-21T20:18:04.1365316Z hint:
2025-03-21T20:18:04.1365641Z hint: 	git branch -m <name>
2025-03-21T20:18:04.1366605Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/
2025-03-21T20:18:04.1379217Z [command]/usr/bin/git remote add origin https://github.com/pytorch/executorch
2025-03-21T20:18:04.1416238Z ##[endgroup]
2025-03-21T20:18:04.1417493Z ##[group]Disabling automatic garbage collection
2025-03-21T20:18:04.1425391Z [command]/usr/bin/git config --local gc.auto 0
2025-03-21T20:18:04.1462775Z ##[endgroup]
2025-03-21T20:18:04.1463434Z ##[group]Setting up auth
2025-03-21T20:18:04.1472420Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-03-21T20:18:04.1510508Z [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' || :"
2025-03-21T20:18:04.1843913Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-03-21T20:18:04.1879796Z [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' || :"
2025-03-21T20:18:04.2202199Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-03-21T20:18:04.2259431Z ##[endgroup]
2025-03-21T20:18:04.2260100Z ##[group]Fetching the repository
2025-03-21T20:18:04.2270463Z [command]/usr/bin/git -c protocol.version=2 fetch --no-tags --prune --no-recurse-submodules --depth=1 origin be92d7d85cb7081ac0a544036da4096a4efa33a8
2025-03-21T20:18:06.0758021Z From https://github.com/pytorch/executorch
2025-03-21T20:18:06.0758733Z  * branch            be92d7d85cb7081ac0a544036da4096a4efa33a8 -> FETCH_HEAD
2025-03-21T20:18:06.0784767Z ##[endgroup]
2025-03-21T20:18:06.0785597Z ##[group]Determining the checkout info
2025-03-21T20:18:06.0787002Z ##[endgroup]
2025-03-21T20:18:06.0793927Z [command]/usr/bin/git sparse-checkout disable
2025-03-21T20:18:06.0850410Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig
2025-03-21T20:18:06.0887571Z ##[group]Checking out the ref
2025-03-21T20:18:06.0893725Z [command]/usr/bin/git checkout --progress --force be92d7d85cb7081ac0a544036da4096a4efa33a8
2025-03-21T20:18:06.6457455Z Note: switching to 'be92d7d85cb7081ac0a544036da4096a4efa33a8'.
2025-03-21T20:18:06.6457955Z 
2025-03-21T20:18:06.6458279Z You are in 'detached HEAD' state. You can look around, make experimental
2025-03-21T20:18:06.6459076Z changes and commit them, and you can discard any commits you make in this
2025-03-21T20:18:06.6459864Z state without impacting any branches by switching back to a branch.
2025-03-21T20:18:06.6460333Z 
2025-03-21T20:18:06.6460639Z If you want to create a new branch to retain commits you create, you may
2025-03-21T20:18:06.6461370Z do so (now or later) by using -c with the switch command. Example:
2025-03-21T20:18:06.6461784Z 
2025-03-21T20:18:06.6461968Z   git switch -c <new-branch-name>
2025-03-21T20:18:06.6462286Z 
2025-03-21T20:18:06.6462466Z Or undo this operation with:
2025-03-21T20:18:06.6462733Z 
2025-03-21T20:18:06.6462879Z   git switch -
2025-03-21T20:18:06.6463088Z 
2025-03-21T20:18:06.6463439Z Turn off this advice by setting config variable advice.detachedHead to false
2025-03-21T20:18:06.6463953Z 
2025-03-21T20:18:06.6464203Z HEAD is now at be92d7d [Android] Use new Llm package API
2025-03-21T20:18:06.6507994Z ##[endgroup]
2025-03-21T20:18:06.6508649Z ##[group]Setting up auth for fetching submodules
2025-03-21T20:18:06.6515753Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-03-21T20:18:06.6568783Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2025-03-21T20:18:06.6603583Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2025-03-21T20:18:06.6644515Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2025-03-21T20:18:06.6674062Z ##[endgroup]
2025-03-21T20:18:06.6674818Z ##[group]Fetching submodules
2025-03-21T20:18:06.6679777Z [command]/usr/bin/git submodule sync
2025-03-21T20:18:06.7004543Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --depth=1
2025-03-21T20:18:06.7321531Z Submodule 'backends/arm/third-party/ethos-u-core-driver' (https://github.com/pytorch-labs/ethos-u-core-driver-mirror) registered for path 'backends/arm/third-party/ethos-u-core-driver'
2025-03-21T20:18:06.7323811Z Submodule 'backends/arm/third-party/serialization_lib' (https://github.com/pytorch-labs/tosa_serialization_lib-mirror) registered for path 'backends/arm/third-party/serialization_lib'
2025-03-21T20:18:06.7325683Z Submodule 'backends/cadence/utils/FACTO' (https://github.com/pytorch-labs/FACTO.git) registered for path 'backends/cadence/utils/FACTO'
2025-03-21T20:18:06.7327566Z Submodule 'backends/vulkan/third-party/Vulkan-Headers' (https://github.com/KhronosGroup/Vulkan-Headers) registered for path 'backends/vulkan/third-party/Vulkan-Headers'
2025-03-21T20:18:06.7329890Z Submodule 'backends/vulkan/third-party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'backends/vulkan/third-party/VulkanMemoryAllocator'
2025-03-21T20:18:06.7331934Z Submodule 'backends/vulkan/third-party/volk' (https://github.com/zeux/volk) registered for path 'backends/vulkan/third-party/volk'
2025-03-21T20:18:06.7334068Z Submodule 'backends/xnnpack/third-party/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'backends/xnnpack/third-party/FP16'
2025-03-21T20:18:06.7337046Z Submodule 'backends/xnnpack/third-party/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'backends/xnnpack/third-party/FXdiv'
2025-03-21T20:18:06.7340111Z Submodule 'backends/xnnpack/third-party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'backends/xnnpack/third-party/XNNPACK'
2025-03-21T20:18:06.7344288Z Submodule 'backends/xnnpack/third-party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'backends/xnnpack/third-party/cpuinfo'
2025-03-21T20:18:06.7347479Z Submodule 'backends/xnnpack/third-party/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'backends/xnnpack/third-party/pthreadpool'
2025-03-21T20:18:06.7350361Z Submodule 'extension/llm/tokenizers' (https://github.com/pytorch-labs/tokenizers.git) registered for path 'extension/llm/tokenizers'
2025-03-21T20:18:06.7354125Z Submodule 'kernels/optimized/third-party/eigen' (https://gitlab.com/libeigen/eigen.git) registered for path 'kernels/optimized/third-party/eigen'
2025-03-21T20:18:06.7357274Z Submodule 'shim' (https://github.com/facebook/buck2-shims-meta) registered for path 'shim'
2025-03-21T20:18:06.7360678Z Submodule 'third-party/ao' (https://github.com/pytorch/ao.git) registered for path 'third-party/ao'
2025-03-21T20:18:06.7364961Z Submodule 'third-party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third-party/flatbuffers'
2025-03-21T20:18:06.7371259Z Submodule 'third-party/flatcc' (https://github.com/dvidelabs/flatcc.git) registered for path 'third-party/flatcc'
2025-03-21T20:18:06.7375089Z Submodule 'third-party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third-party/gflags'
2025-03-21T20:18:06.7379026Z Submodule 'third-party/googletest' (https://github.com/google/googletest.git) registered for path 'third-party/googletest'
2025-03-21T20:18:06.7382793Z Submodule 'third-party/ios-cmake' (https://github.com/leetal/ios-cmake) registered for path 'third-party/ios-cmake'
2025-03-21T20:18:06.7386699Z Submodule 'third-party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third-party/pocketfft'
2025-03-21T20:18:06.7390811Z Submodule 'third-party/prelude' (https://github.com/facebook/buck2-prelude.git) registered for path 'third-party/prelude'
2025-03-21T20:18:06.7394882Z Submodule 'third-party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third-party/pybind11'
2025-03-21T20:18:06.7428060Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/arm/third-party/ethos-u-core-driver'...
2025-03-21T20:18:06.9910653Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/arm/third-party/serialization_lib'...
2025-03-21T20:18:07.2287317Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/cadence/utils/FACTO'...
2025-03-21T20:18:07.4724072Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/vulkan/third-party/Vulkan-Headers'...
2025-03-21T20:18:07.8903019Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/vulkan/third-party/VulkanMemoryAllocator'...
2025-03-21T20:18:08.1503967Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/vulkan/third-party/volk'...
2025-03-21T20:18:08.3507496Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/xnnpack/third-party/FP16'...
2025-03-21T20:18:08.6001577Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/xnnpack/third-party/FXdiv'...
2025-03-21T20:18:08.8159529Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/xnnpack/third-party/XNNPACK'...
2025-03-21T20:18:09.5898598Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/xnnpack/third-party/cpuinfo'...
2025-03-21T20:18:09.9578870Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/xnnpack/third-party/pthreadpool'...
2025-03-21T20:18:10.1736821Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/extension/llm/tokenizers'...
2025-03-21T20:18:10.4450783Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/kernels/optimized/third-party/eigen'...
2025-03-21T20:18:11.1601325Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/shim'...
2025-03-21T20:18:11.4099050Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/ao'...
2025-03-21T20:18:11.7467765Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/flatbuffers'...
2025-03-21T20:18:12.0690523Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/flatcc'...
2025-03-21T20:18:12.3023491Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/gflags'...
2025-03-21T20:18:12.5697527Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/googletest'...
2025-03-21T20:18:12.8414472Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/ios-cmake'...
2025-03-21T20:18:13.0312897Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/pocketfft'...
2025-03-21T20:18:13.2302307Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/prelude'...
2025-03-21T20:18:13.6292909Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/pybind11'...
2025-03-21T20:18:14.3916799Z From https://github.com/pytorch-labs/ethos-u-core-driver-mirror
2025-03-21T20:18:14.3917607Z  * branch            78df0006c5fa667150d3ee35db7bde1d3f6f58c7 -> FETCH_HEAD
2025-03-21T20:18:14.4047089Z Submodule path 'backends/arm/third-party/ethos-u-core-driver': checked out '78df0006c5fa667150d3ee35db7bde1d3f6f58c7'
2025-03-21T20:18:14.8685385Z From https://github.com/pytorch-labs/tosa_serialization_lib-mirror
2025-03-21T20:18:14.8686311Z  * branch            187af0d41fe75d08d2a7ec84c1b4d24b9b641ed2 -> FETCH_HEAD
2025-03-21T20:18:14.8818730Z Submodule path 'backends/arm/third-party/serialization_lib': checked out '187af0d41fe75d08d2a7ec84c1b4d24b9b641ed2'
2025-03-21T20:18:14.8930043Z Submodule path 'backends/cadence/utils/FACTO': checked out '1db37fc79d0d59638cbb794fa49d878aafc24461'
2025-03-21T20:18:15.6676912Z From https://github.com/KhronosGroup/Vulkan-Headers
2025-03-21T20:18:15.6677698Z  * branch            0c5928795a66e93f65e5e68a36d8daa79a209dc2 -> FETCH_HEAD
2025-03-21T20:18:15.7276919Z Submodule path 'backends/vulkan/third-party/Vulkan-Headers': checked out '0c5928795a66e93f65e5e68a36d8daa79a209dc2'
2025-03-21T20:18:16.2855069Z From https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator
2025-03-21T20:18:16.2855914Z  * branch            a6bfc237255a6bac1513f7c1ebde6d8aed6b5191 -> FETCH_HEAD
2025-03-21T20:18:16.3214590Z Submodule path 'backends/vulkan/third-party/VulkanMemoryAllocator': checked out 'a6bfc237255a6bac1513f7c1ebde6d8aed6b5191'
2025-03-21T20:18:16.7753985Z From https://github.com/zeux/volk
2025-03-21T20:18:16.7754716Z  * branch            b3bc21e584f97400b6884cb2a541a56c6a5ddba3 -> FETCH_HEAD
2025-03-21T20:18:16.7847227Z Submodule path 'backends/vulkan/third-party/volk': checked out 'b3bc21e584f97400b6884cb2a541a56c6a5ddba3'
2025-03-21T20:18:17.1920983Z From https://github.com/Maratyszcza/FP16
2025-03-21T20:18:17.1921710Z  * branch            4dfe081cf6bcd15db339cf2680b9281b8451eeb3 -> FETCH_HEAD
2025-03-21T20:18:17.2028692Z Submodule path 'backends/xnnpack/third-party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3'
2025-03-21T20:18:17.5914509Z From https://github.com/Maratyszcza/FXdiv
2025-03-21T20:18:17.5915210Z  * branch            b408327ac2a15ec3e43352421954f5b1967701d1 -> FETCH_HEAD
2025-03-21T20:18:17.5985317Z Submodule path 'backends/xnnpack/third-party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1'
2025-03-21T20:18:19.3632499Z From https://github.com/google/XNNPACK
2025-03-21T20:18:19.3633202Z  * branch              4ea82e595b36106653175dcb04b2aa532660d0d8 -> FETCH_HEAD
2025-03-21T20:18:20.0531306Z Submodule path 'backends/xnnpack/third-party/XNNPACK': checked out '4ea82e595b36106653175dcb04b2aa532660d0d8'
2025-03-21T20:18:20.5986866Z From https://github.com/pytorch/cpuinfo
2025-03-21T20:18:20.5987598Z  * branch            1e83a2fdd3102f65c6f1fb602c1b320486218a99 -> FETCH_HEAD
2025-03-21T20:18:20.6945735Z Submodule path 'backends/xnnpack/third-party/cpuinfo': checked out '1e83a2fdd3102f65c6f1fb602c1b320486218a99'
2025-03-21T20:18:21.1063462Z From https://github.com/Maratyszcza/pthreadpool
2025-03-21T20:18:21.1064280Z  * branch            4fe0e1e183925bf8cfa6aae24237e724a96479b8 -> FETCH_HEAD
2025-03-21T20:18:21.1166781Z Submodule path 'backends/xnnpack/third-party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8'
2025-03-21T20:18:21.5762019Z From https://github.com/pytorch-labs/tokenizers
2025-03-21T20:18:21.5762772Z  * branch            d70f5a760552d8d3bb288cdd93eebde477bb6eb0 -> FETCH_HEAD
2025-03-21T20:18:21.6041232Z Submodule path 'extension/llm/tokenizers': checked out 'd70f5a760552d8d3bb288cdd93eebde477bb6eb0'
2025-03-21T20:18:23.1471581Z From https://gitlab.com/libeigen/eigen
2025-03-21T20:18:23.1472288Z  * branch            a39ade4ccf99df845ec85c580fbbb324f71952fa -> FETCH_HEAD
2025-03-21T20:18:23.2961067Z Submodule path 'kernels/optimized/third-party/eigen': checked out 'a39ade4ccf99df845ec85c580fbbb324f71952fa'
2025-03-21T20:18:23.3180379Z Submodule path 'shim': checked out 'cf6a954aae4bee7b4515e13475878460115027d1'
2025-03-21T20:18:23.7759211Z From https://github.com/pytorch/ao
2025-03-21T20:18:23.7759916Z  * branch            64bcf4c25755a783685ba7383000b3bf722523c1 -> FETCH_HEAD
2025-03-21T20:18:23.8570982Z Submodule path 'third-party/ao': checked out '64bcf4c25755a783685ba7383000b3bf722523c1'
2025-03-21T20:18:24.4819769Z From https://github.com/google/flatbuffers
2025-03-21T20:18:24.4820847Z  * branch            595bf0007ab1929570c7671f091313c8fc20644e -> FETCH_HEAD
2025-03-21T20:18:24.6004934Z Submodule path 'third-party/flatbuffers': checked out '595bf0007ab1929570c7671f091313c8fc20644e'
2025-03-21T20:18:25.0577068Z From https://github.com/dvidelabs/flatcc
2025-03-21T20:18:25.0577876Z  * branch            896db54787e8b730a6be482c69324751f3f5f117 -> FETCH_HEAD
2025-03-21T20:18:25.0869736Z Submodule path 'third-party/flatcc': checked out '896db54787e8b730a6be482c69324751f3f5f117'
2025-03-21T20:18:25.5786911Z From https://github.com/gflags/gflags
2025-03-21T20:18:25.5787715Z  * branch            a738fdf9338412f83ab3f26f31ac11ed3f3ec4bd -> FETCH_HEAD
2025-03-21T20:18:25.5904515Z Submodule path 'third-party/gflags': checked out 'a738fdf9338412f83ab3f26f31ac11ed3f3ec4bd'
2025-03-21T20:18:26.5328979Z From https://github.com/google/googletest
2025-03-21T20:18:26.5329991Z  * branch            e2239ee6043f73722e7aa812a459f54a28552929 -> FETCH_HEAD
2025-03-21T20:18:26.5728739Z Submodule path 'third-party/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-03-21T20:18:27.0046123Z From https://github.com/leetal/ios-cmake
2025-03-21T20:18:27.0046971Z  * branch            06465b27698424cf4a04a5ca4904d50a3c966c45 -> FETCH_HEAD
2025-03-21T20:18:27.0137517Z Submodule path 'third-party/ios-cmake': checked out '06465b27698424cf4a04a5ca4904d50a3c966c45'
2025-03-21T20:18:27.0224946Z Submodule path 'third-party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa'
2025-03-21T20:18:27.6505148Z From https://github.com/facebook/buck2-prelude
2025-03-21T20:18:27.6506027Z  * branch            851d3f09c452937fc5adef27e2c50f7f304f1646 -> FETCH_HEAD
2025-03-21T20:18:27.7448731Z Submodule path 'third-party/prelude': checked out '851d3f09c452937fc5adef27e2c50f7f304f1646'
2025-03-21T20:18:28.4582447Z From https://github.com/pybind/pybind11
2025-03-21T20:18:28.4583229Z  * branch            a2e59f0e7065404b44dfe92a28aca47ba1378dc4 -> FETCH_HEAD
2025-03-21T20:18:28.4916606Z Submodule path 'third-party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4'
2025-03-21T20:18:28.4918512Z [command]/usr/bin/git submodule foreach git config --local gc.auto 0
2025-03-21T20:18:28.5244225Z Entering 'backends/arm/third-party/ethos-u-core-driver'
2025-03-21T20:18:28.5274176Z Entering 'backends/arm/third-party/serialization_lib'
2025-03-21T20:18:28.5305476Z Entering 'backends/cadence/utils/FACTO'
2025-03-21T20:18:28.5338210Z Entering 'backends/vulkan/third-party/Vulkan-Headers'
2025-03-21T20:18:28.5370510Z Entering 'backends/vulkan/third-party/VulkanMemoryAllocator'
2025-03-21T20:18:28.5402557Z Entering 'backends/vulkan/third-party/volk'
2025-03-21T20:18:28.5435261Z Entering 'backends/xnnpack/third-party/FP16'
2025-03-21T20:18:28.5468088Z Entering 'backends/xnnpack/third-party/FXdiv'
2025-03-21T20:18:28.5506940Z Entering 'backends/xnnpack/third-party/XNNPACK'
2025-03-21T20:18:28.5542554Z Entering 'backends/xnnpack/third-party/cpuinfo'
2025-03-21T20:18:28.5575496Z Entering 'backends/xnnpack/third-party/pthreadpool'
2025-03-21T20:18:28.5610492Z Entering 'extension/llm/tokenizers'
2025-03-21T20:18:28.5644632Z Entering 'kernels/optimized/third-party/eigen'
2025-03-21T20:18:28.5675946Z Entering 'shim'
2025-03-21T20:18:28.5708535Z Entering 'third-party/ao'
2025-03-21T20:18:28.5741206Z Entering 'third-party/flatbuffers'
2025-03-21T20:18:28.5772787Z Entering 'third-party/flatcc'
2025-03-21T20:18:28.5804038Z Entering 'third-party/gflags'
2025-03-21T20:18:28.5834241Z Entering 'third-party/googletest'
2025-03-21T20:18:28.5867708Z Entering 'third-party/ios-cmake'
2025-03-21T20:18:28.5898133Z Entering 'third-party/pocketfft'
2025-03-21T20:18:28.5931151Z Entering 'third-party/prelude'
2025-03-21T20:18:28.5965435Z Entering 'third-party/pybind11'
2025-03-21T20:18:28.6009029Z ##[endgroup]
2025-03-21T20:18:28.6009665Z ##[group]Persisting credentials for submodules
2025-03-21T20:18:28.6019068Z [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' || :"
2025-03-21T20:18:28.6344107Z Entering 'backends/arm/third-party/ethos-u-core-driver'
2025-03-21T20:18:28.6407329Z Entering 'backends/arm/third-party/serialization_lib'
2025-03-21T20:18:28.6472322Z Entering 'backends/cadence/utils/FACTO'
2025-03-21T20:18:28.6535732Z Entering 'backends/vulkan/third-party/Vulkan-Headers'
2025-03-21T20:18:28.6600351Z Entering 'backends/vulkan/third-party/VulkanMemoryAllocator'
2025-03-21T20:18:28.6667572Z Entering 'backends/vulkan/third-party/volk'
2025-03-21T20:18:28.6732765Z Entering 'backends/xnnpack/third-party/FP16'
2025-03-21T20:18:28.6798938Z Entering 'backends/xnnpack/third-party/FXdiv'
2025-03-21T20:18:28.6864070Z Entering 'backends/xnnpack/third-party/XNNPACK'
2025-03-21T20:18:28.6953227Z Entering 'backends/xnnpack/third-party/cpuinfo'
2025-03-21T20:18:28.7023292Z Entering 'backends/xnnpack/third-party/pthreadpool'
2025-03-21T20:18:28.7092307Z Entering 'extension/llm/tokenizers'
2025-03-21T20:18:28.7158629Z Entering 'kernels/optimized/third-party/eigen'
2025-03-21T20:18:28.7227338Z Entering 'shim'
2025-03-21T20:18:28.7293773Z Entering 'third-party/ao'
2025-03-21T20:18:28.7358194Z Entering 'third-party/flatbuffers'
2025-03-21T20:18:28.7423300Z Entering 'third-party/flatcc'
2025-03-21T20:18:28.7486471Z Entering 'third-party/gflags'
2025-03-21T20:18:28.7547858Z Entering 'third-party/googletest'
2025-03-21T20:18:28.7612936Z Entering 'third-party/ios-cmake'
2025-03-21T20:18:28.7676146Z Entering 'third-party/pocketfft'
2025-03-21T20:18:28.7737580Z Entering 'third-party/prelude'
2025-03-21T20:18:28.7797959Z Entering 'third-party/pybind11'
2025-03-21T20:18:28.7877531Z [command]/usr/bin/git submodule foreach sh -c "git config --local 'http.https://github.com/.extraheader' 'AUTHORIZATION: basic ***' && git config --local --show-origin --name-only --get-regexp remote.origin.url"
2025-03-21T20:18:28.8197746Z Entering 'backends/arm/third-party/ethos-u-core-driver'
2025-03-21T20:18:28.8258211Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/ethos-u-core-driver/config	remote.origin.url
2025-03-21T20:18:28.8260021Z Entering 'backends/arm/third-party/serialization_lib'
2025-03-21T20:18:28.8319008Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/config	remote.origin.url
2025-03-21T20:18:28.8320369Z Entering 'backends/cadence/utils/FACTO'
2025-03-21T20:18:28.8380049Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/config	remote.origin.url
2025-03-21T20:18:28.8381782Z Entering 'backends/vulkan/third-party/Vulkan-Headers'
2025-03-21T20:18:28.8439521Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/config	remote.origin.url
2025-03-21T20:18:28.8441821Z Entering 'backends/vulkan/third-party/VulkanMemoryAllocator'
2025-03-21T20:18:28.8499112Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/VulkanMemoryAllocator/config	remote.origin.url
2025-03-21T20:18:28.8500533Z Entering 'backends/vulkan/third-party/volk'
2025-03-21T20:18:28.8560603Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/volk/config	remote.origin.url
2025-03-21T20:18:28.8562114Z Entering 'backends/xnnpack/third-party/FP16'
2025-03-21T20:18:28.8619448Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FP16/config	remote.origin.url
2025-03-21T20:18:28.8621226Z Entering 'backends/xnnpack/third-party/FXdiv'
2025-03-21T20:18:28.8679361Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/config	remote.origin.url
2025-03-21T20:18:28.8680661Z Entering 'backends/xnnpack/third-party/XNNPACK'
2025-03-21T20:18:28.8739254Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/XNNPACK/config	remote.origin.url
2025-03-21T20:18:28.8740797Z Entering 'backends/xnnpack/third-party/cpuinfo'
2025-03-21T20:18:28.8801353Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/cpuinfo/config	remote.origin.url
2025-03-21T20:18:28.8802761Z Entering 'backends/xnnpack/third-party/pthreadpool'
2025-03-21T20:18:28.8860337Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/config	remote.origin.url
2025-03-21T20:18:28.8861622Z Entering 'extension/llm/tokenizers'
2025-03-21T20:18:28.8922372Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/config	remote.origin.url
2025-03-21T20:18:28.8924644Z Entering 'kernels/optimized/third-party/eigen'
2025-03-21T20:18:28.8984256Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party/eigen/config	remote.origin.url
2025-03-21T20:18:28.8985666Z Entering 'shim'
2025-03-21T20:18:28.9045117Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/shim/config	remote.origin.url
2025-03-21T20:18:28.9046609Z Entering 'third-party/ao'
2025-03-21T20:18:28.9107007Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/config	remote.origin.url
2025-03-21T20:18:28.9108114Z Entering 'third-party/flatbuffers'
2025-03-21T20:18:28.9167785Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatbuffers/config	remote.origin.url
2025-03-21T20:18:28.9168953Z Entering 'third-party/flatcc'
2025-03-21T20:18:28.9226965Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/config	remote.origin.url
2025-03-21T20:18:28.9228488Z Entering 'third-party/gflags'
2025-03-21T20:18:28.9287047Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/gflags/config	remote.origin.url
2025-03-21T20:18:28.9288176Z Entering 'third-party/googletest'
2025-03-21T20:18:28.9346946Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/googletest/config	remote.origin.url
2025-03-21T20:18:28.9348092Z Entering 'third-party/ios-cmake'
2025-03-21T20:18:28.9407790Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/config	remote.origin.url
2025-03-21T20:18:28.9408933Z Entering 'third-party/pocketfft'
2025-03-21T20:18:28.9470163Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pocketfft/config	remote.origin.url
2025-03-21T20:18:28.9471313Z Entering 'third-party/prelude'
2025-03-21T20:18:28.9530622Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/prelude/config	remote.origin.url
2025-03-21T20:18:28.9531799Z Entering 'third-party/pybind11'
2025-03-21T20:18:28.9589845Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pybind11/config	remote.origin.url
2025-03-21T20:18:28.9985195Z [command]/usr/bin/git submodule foreach git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:'
2025-03-21T20:18:29.0304296Z Entering 'backends/arm/third-party/ethos-u-core-driver'
2025-03-21T20:18:29.0332601Z Entering 'backends/arm/third-party/serialization_lib'
2025-03-21T20:18:29.0365232Z Entering 'backends/cadence/utils/FACTO'
2025-03-21T20:18:29.0396367Z Entering 'backends/vulkan/third-party/Vulkan-Headers'
2025-03-21T20:18:29.0427584Z Entering 'backends/vulkan/third-party/VulkanMemoryAllocator'
2025-03-21T20:18:29.0459777Z Entering 'backends/vulkan/third-party/volk'
2025-03-21T20:18:29.0490180Z Entering 'backends/xnnpack/third-party/FP16'
2025-03-21T20:18:29.0522086Z Entering 'backends/xnnpack/third-party/FXdiv'
2025-03-21T20:18:29.0553356Z Entering 'backends/xnnpack/third-party/XNNPACK'
2025-03-21T20:18:29.0586201Z Entering 'backends/xnnpack/third-party/cpuinfo'
2025-03-21T20:18:29.0617688Z Entering 'backends/xnnpack/third-party/pthreadpool'
2025-03-21T20:18:29.0649507Z Entering 'extension/llm/tokenizers'
2025-03-21T20:18:29.0680713Z Entering 'kernels/optimized/third-party/eigen'
2025-03-21T20:18:29.0710476Z Entering 'shim'
2025-03-21T20:18:29.0741877Z Entering 'third-party/ao'
2025-03-21T20:18:29.0770740Z Entering 'third-party/flatbuffers'
2025-03-21T20:18:29.0800544Z Entering 'third-party/flatcc'
2025-03-21T20:18:29.0829414Z Entering 'third-party/gflags'
2025-03-21T20:18:29.0860519Z Entering 'third-party/googletest'
2025-03-21T20:18:29.0889507Z Entering 'third-party/ios-cmake'
2025-03-21T20:18:29.0919140Z Entering 'third-party/pocketfft'
2025-03-21T20:18:29.0949421Z Entering 'third-party/prelude'
2025-03-21T20:18:29.0979333Z Entering 'third-party/pybind11'
2025-03-21T20:18:29.1026367Z [command]/usr/bin/git submodule foreach git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2025-03-21T20:18:29.1344581Z Entering 'backends/arm/third-party/ethos-u-core-driver'
2025-03-21T20:18:29.1375176Z Entering 'backends/arm/third-party/serialization_lib'
2025-03-21T20:18:29.1407168Z Entering 'backends/cadence/utils/FACTO'
2025-03-21T20:18:29.1437973Z Entering 'backends/vulkan/third-party/Vulkan-Headers'
2025-03-21T20:18:29.1469917Z Entering 'backends/vulkan/third-party/VulkanMemoryAllocator'
2025-03-21T20:18:29.1500091Z Entering 'backends/vulkan/third-party/volk'
2025-03-21T20:18:29.1531328Z Entering 'backends/xnnpack/third-party/FP16'
2025-03-21T20:18:29.1561058Z Entering 'backends/xnnpack/third-party/FXdiv'
2025-03-21T20:18:29.1591304Z Entering 'backends/xnnpack/third-party/XNNPACK'
2025-03-21T20:18:29.1621335Z Entering 'backends/xnnpack/third-party/cpuinfo'
2025-03-21T20:18:29.1654350Z Entering 'backends/xnnpack/third-party/pthreadpool'
2025-03-21T20:18:29.1684874Z Entering 'extension/llm/tokenizers'
2025-03-21T20:18:29.1716142Z Entering 'kernels/optimized/third-party/eigen'
2025-03-21T20:18:29.1746244Z Entering 'shim'
2025-03-21T20:18:29.1778926Z Entering 'third-party/ao'
2025-03-21T20:18:29.1810793Z Entering 'third-party/flatbuffers'
2025-03-21T20:18:29.1841595Z Entering 'third-party/flatcc'
2025-03-21T20:18:29.1871232Z Entering 'third-party/gflags'
2025-03-21T20:18:29.1903208Z Entering 'third-party/googletest'
2025-03-21T20:18:29.1935040Z Entering 'third-party/ios-cmake'
2025-03-21T20:18:29.1967274Z Entering 'third-party/pocketfft'
2025-03-21T20:18:29.1997688Z Entering 'third-party/prelude'
2025-03-21T20:18:29.2028926Z Entering 'third-party/pybind11'
2025-03-21T20:18:29.2073816Z ##[endgroup]
2025-03-21T20:18:29.2119826Z [command]/usr/bin/git log -1 --format=%H
2025-03-21T20:18:29.2148833Z be92d7d85cb7081ac0a544036da4096a4efa33a8
2025-03-21T20:18:29.2416190Z Prepare all required actions
2025-03-21T20:18:29.2417279Z Getting action download info
2025-03-21T20:18:29.3332283Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e)
2025-03-21T20:18:29.5143275Z ##[group]Run ./test-infra/.github/actions/calculate-docker-image
2025-03-21T20:18:29.5143847Z with:
2025-03-21T20:18:29.5144275Z   docker-image-name: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:18:29.5144834Z   docker-build-dir: .ci/docker
2025-03-21T20:18:29.5145272Z   working-directory: pytorch/executorch
2025-03-21T20:18:29.5145859Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:29.5146424Z   force-push: false
2025-03-21T20:18:29.5146758Z env:
2025-03-21T20:18:29.5147145Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:18:29.5147671Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:29.5148076Z   PR_NUMBER: 
2025-03-21T20:18:29.5150412Z   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}"

MODEL_NAME=ic4
BUILD_TOOL="cmake"
BACKEND=portable

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Build and test ExecuTorch
PYTHON_EXECUTABLE=python bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "${BACKEND}"

2025-03-21T20:18:29.5153032Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:29.5153872Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:29.5154651Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:29.5155216Z ##[endgroup]
2025-03-21T20:18:29.5195476Z ##[group]Run set -ex
2025-03-21T20:18:29.5195939Z set -ex
2025-03-21T20:18:29.5196277Z 
2025-03-21T20:18:29.5196846Z # If the docker build directory or the build script doesn't exist, the action will
2025-03-21T20:18:29.5197935Z # gracefully return the docker image name as it is.  Pulling docker image in Linux
2025-03-21T20:18:29.5198761Z # job could then download the pre-built image as usual
2025-03-21T20:18:29.5199490Z if [[ ! -d "${DOCKER_BUILD_DIR}" ]] || [[ ! -f "${DOCKER_BUILD_DIR}/build.sh" ]]; then
2025-03-21T20:18:29.5200152Z   echo "skip=true" >> "${GITHUB_OUTPUT}"
2025-03-21T20:18:29.5200810Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-03-21T20:18:29.5201418Z 
2025-03-21T20:18:29.5201934Z   echo "There is no Docker build script in ${REPO_NAME} repo, skipping..."
2025-03-21T20:18:29.5202558Z   exit 0
2025-03-21T20:18:29.5202884Z else
2025-03-21T20:18:29.5203312Z   echo "skip=false" >> "${GITHUB_OUTPUT}"
2025-03-21T20:18:29.5203783Z fi
2025-03-21T20:18:29.5204096Z 
2025-03-21T20:18:29.5204592Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then
2025-03-21T20:18:29.5205441Z   # The docker image name already includes the ECR prefix and tag, so we can just
2025-03-21T20:18:29.5206667Z   # use it as it is, but first let's extract the tag
2025-03-21T20:18:29.5207377Z   DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}')
2025-03-21T20:18:29.5208103Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-03-21T20:18:29.5208802Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-03-21T20:18:29.5209383Z else
2025-03-21T20:18:29.5209837Z   DOCKER_TAG=$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}")
2025-03-21T20:18:29.5210485Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-03-21T20:18:29.5211389Z   echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-03-21T20:18:29.5212178Z fi
2025-03-21T20:18:29.5220026Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:29.5220603Z env:
2025-03-21T20:18:29.5221013Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:18:29.5221552Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:29.5221964Z   PR_NUMBER: 
2025-03-21T20:18:29.5224238Z   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}"

MODEL_NAME=ic4
BUILD_TOOL="cmake"
BACKEND=portable

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Build and test ExecuTorch
PYTHON_EXECUTABLE=python bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "${BACKEND}"

2025-03-21T20:18:29.5226797Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:29.5227625Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:29.5228409Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:29.5228984Z   REPO_NAME: executorch
2025-03-21T20:18:29.5229473Z   DOCKER_IMAGE_NAME: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:18:29.5230017Z   DOCKER_BUILD_DIR: .ci/docker
2025-03-21T20:18:29.5230540Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:29.5231088Z ##[endgroup]
2025-03-21T20:18:29.5271010Z + [[ ! -d .ci/docker ]]
2025-03-21T20:18:29.5271439Z + [[ ! -f .ci/docker/build.sh ]]
2025-03-21T20:18:29.5271856Z + echo skip=false
2025-03-21T20:18:29.5272613Z + [[ executorch-ubuntu-22.04-gcc11-aarch64 == *\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* ]]
2025-03-21T20:18:29.5275702Z ++ git rev-parse HEAD:.ci/docker
2025-03-21T20:18:29.5293587Z + DOCKER_TAG=2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:29.5294216Z + echo docker-tag=2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:29.5295438Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc11-aarch64:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:29.5349410Z ##[group]Run set +e
2025-03-21T20:18:29.5349878Z set +e
2025-03-21T20:18:29.5350223Z set -x
2025-03-21T20:18:29.5350555Z 
2025-03-21T20:18:29.5350864Z login() {
2025-03-21T20:18:29.5351539Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-03-21T20:18:29.5352273Z }
2025-03-21T20:18:29.5352585Z 
2025-03-21T20:18:29.5352891Z retry () {
2025-03-21T20:18:29.5353276Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-03-21T20:18:29.5353730Z }
2025-03-21T20:18:29.5354037Z 
2025-03-21T20:18:29.5354382Z retry login "${DOCKER_REGISTRY}"
2025-03-21T20:18:29.5354827Z 
2025-03-21T20:18:29.5355139Z START_TIME=$(date +%s)
2025-03-21T20:18:29.5355584Z # Wait up to 120 minutes
2025-03-21T20:18:29.5356098Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do
2025-03-21T20:18:29.5357126Z   # Check if image already exists, if it does then skip building it
2025-03-21T20:18:29.5357818Z   if docker manifest inspect "${DOCKER_IMAGE}"; then
2025-03-21T20:18:29.5358326Z     exit 0
2025-03-21T20:18:29.5358666Z   fi
2025-03-21T20:18:29.5358978Z 
2025-03-21T20:18:29.5359523Z   # NB: This flag is used by Docker build workflow to push the image to ECR, so we can
2025-03-21T20:18:29.5360454Z   # use this to differentiate between the Docker build and regular build jobs. For the
2025-03-21T20:18:29.5361387Z   # latter, it will wait for the Docker images to become available before continuing
2025-03-21T20:18:29.5362112Z   if [ "${DOCKER_PUSH:-false}" == "true" ]; then
2025-03-21T20:18:29.5362676Z     # It's a Docker build job, let's build the image
2025-03-21T20:18:29.5363536Z     break
2025-03-21T20:18:29.5363938Z   else
2025-03-21T20:18:29.5364456Z     # It's a regular build job, wait for the image to become available
2025-03-21T20:18:29.5365053Z     sleep 300
2025-03-21T20:18:29.5365407Z   fi
2025-03-21T20:18:29.5365734Z done
2025-03-21T20:18:29.5366182Z 
2025-03-21T20:18:29.5366711Z # NB: This part requires a full checkout. Otherwise, the merge base will
2025-03-21T20:18:29.5367527Z # be empty.  The default action would be to continue rebuild the image
2025-03-21T20:18:29.5368252Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then
2025-03-21T20:18:29.5368905Z   # if we're on the base branch then use the parent commit
2025-03-21T20:18:29.5369495Z   MERGE_BASE=$(git rev-parse HEAD~)
2025-03-21T20:18:29.5369958Z else
2025-03-21T20:18:29.5370441Z   # otherwise we're on a PR, so use the most recent base commit
2025-03-21T20:18:29.5371122Z   MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION")
2025-03-21T20:18:29.5371645Z fi
2025-03-21T20:18:29.5371965Z 
2025-03-21T20:18:29.5372312Z if [[ -z "${MERGE_BASE}" ]]; then
2025-03-21T20:18:29.5372827Z   echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-03-21T20:18:29.5373308Z 
2025-03-21T20:18:29.5373970Z   echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..."
2025-03-21T20:18:29.5374767Z   exit 0
2025-03-21T20:18:29.5375104Z fi
2025-03-21T20:18:29.5375425Z 
2025-03-21T20:18:29.5375877Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then
2025-03-21T20:18:29.5376843Z   echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit"
2025-03-21T20:18:29.5377679Z   exit 1
2025-03-21T20:18:29.5378009Z fi
2025-03-21T20:18:29.5378338Z 
2025-03-21T20:18:29.5378858Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}")
2025-03-21T20:18:29.5379798Z # If no image exists but the hash is the same as the previous hash then we should error out here
2025-03-21T20:18:29.5380628Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then
2025-03-21T20:18:29.5381596Z   echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch"
2025-03-21T20:18:29.5382680Z   echo "         Will re-build docker image to store in local cache, TTS may be longer"
2025-03-21T20:18:29.5383340Z fi
2025-03-21T20:18:29.5383655Z 
2025-03-21T20:18:29.5384039Z echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-03-21T20:18:29.5392013Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:29.5392550Z env:
2025-03-21T20:18:29.5393512Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc11-aarch64:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:29.5394864Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:29.5395291Z   PR_NUMBER: 
2025-03-21T20:18:29.5397610Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

MODEL_NAME=ic4
BUILD_TOOL="cmake"
BACKEND=portable

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Build and test ExecuTorch
PYTHON_EXECUTABLE=python bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "${BACKEND}"

2025-03-21T20:18:29.5400225Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:29.5401069Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:29.5401868Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:29.5402615Z   DOCKER_BUILD_DIR: .ci/docker
2025-03-21T20:18:29.5403140Z   BASE_REVISION: be92d7d85cb7081ac0a544036da4096a4efa33a8
2025-03-21T20:18:29.5403757Z   DOCKER_TAG: 2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:29.5404397Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:29.5404961Z   DOCKER_PUSH: 
2025-03-21T20:18:29.5405290Z ##[endgroup]
2025-03-21T20:18:29.5436232Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:29.5436873Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:29.5439033Z + aws ecr get-login-password --region us-east-1
2025-03-21T20:18:29.5440762Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:30.2581656Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-03-21T20:18:30.2582533Z Configure a credential helper to remove this warning. See
2025-03-21T20:18:30.2583369Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-03-21T20:18:30.2583910Z 
2025-03-21T20:18:30.2584089Z Login Succeeded
2025-03-21T20:18:30.2606401Z ++ date +%s
2025-03-21T20:18:30.2616163Z + START_TIME=1742588310
2025-03-21T20:18:30.2619844Z ++ date +%s
2025-03-21T20:18:30.2629168Z + [[ 1742581110 -lt 1742588310 ]]
2025-03-21T20:18:30.2630315Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc11-aarch64:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:30.4556713Z {
2025-03-21T20:18:30.4557090Z 	"schemaVersion": 2,
2025-03-21T20:18:30.4557725Z 	"mediaType": "application/vnd.docker.distribution.manifest.v2+json",
2025-03-21T20:18:30.4558363Z 	"config": {
2025-03-21T20:18:30.4558846Z 		"mediaType": "application/vnd.docker.container.image.v1+json",
2025-03-21T20:18:30.4559431Z 		"size": 15125,
2025-03-21T20:18:30.4560039Z 		"digest": "sha256:95eaa05a8ea865cf2b0b9d577b3fd29dc8c8240682d766d60d2cabe9935f09a4"
2025-03-21T20:18:30.4560722Z 	},
2025-03-21T20:18:30.4561054Z 	"layers": [
2025-03-21T20:18:30.4561367Z 		{
2025-03-21T20:18:30.4561846Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:30.4562469Z 			"size": 28397174,
2025-03-21T20:18:30.4563068Z 			"digest": "sha256:9b850f5aae4c6627d2173c368f232b9b1db52bbf636f85f66e885e8611acd964"
2025-03-21T20:18:30.4563737Z 		},
2025-03-21T20:18:30.4564022Z 		{
2025-03-21T20:18:30.4564496Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:30.4565095Z 			"size": 633,
2025-03-21T20:18:30.4565702Z 			"digest": "sha256:badf7cb767d1b45da1f5dabcfb3479e8c3860c7ddfedea2b1848e91ee00faa4a"
2025-03-21T20:18:30.4566487Z 		},
2025-03-21T20:18:30.4566770Z 		{
2025-03-21T20:18:30.4567240Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:30.4567937Z 			"size": 153121650,
2025-03-21T20:18:30.4568533Z 			"digest": "sha256:0f89db74a98d9c3b39c34b6138f0608318e0445f8005542cc5cd957ecd8b5a95"
2025-03-21T20:18:30.4569203Z 		},
2025-03-21T20:18:30.4569506Z 		{
2025-03-21T20:18:30.4569976Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:30.4571070Z 			"size": 622,
2025-03-21T20:18:30.4571637Z 			"digest": "sha256:32a4514e7ff575e6e37522ceb046a4594750562d16d01c2a4495863819f59f56"
2025-03-21T20:18:30.4572299Z 		},
2025-03-21T20:18:30.4572592Z 		{
2025-03-21T20:18:30.4573067Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:30.4573669Z 			"size": 18985061,
2025-03-21T20:18:30.4574267Z 			"digest": "sha256:37c6f550ae9bd5ea67adf6bc3031f5e81601ea2177874639027bb9aaea1d5468"
2025-03-21T20:18:30.4574944Z 		},
2025-03-21T20:18:30.4575239Z 		{
2025-03-21T20:18:30.4575712Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:30.4576300Z 			"size": 737,
2025-03-21T20:18:30.4576888Z 			"digest": "sha256:41326e4613eb7cd7c11da0f4d91f4c2c8377bf26dabf4f1bd1582609a64e5ee0"
2025-03-21T20:18:30.4577565Z 		},
2025-03-21T20:18:30.4577858Z 		{
2025-03-21T20:18:30.4579767Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:30.4580442Z 			"size": 104,
2025-03-21T20:18:30.4581024Z 			"digest": "sha256:c5561e75697a090410df8a63b915edf3477dd7fde71ae2d1b13768144db7def4"
2025-03-21T20:18:30.4581700Z 		},
2025-03-21T20:18:30.4581992Z 		{
2025-03-21T20:18:30.4582464Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:30.4583077Z 			"size": 447,
2025-03-21T20:18:30.4583667Z 			"digest": "sha256:e6a0b1cdd23a737edbabd1d9f6380877e85325bcd96e36c5d1457dd2430d701f"
2025-03-21T20:18:30.4584347Z 		},
2025-03-21T20:18:30.4584636Z 		{
2025-03-21T20:18:30.4585110Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:30.4585702Z 			"size": 2758,
2025-03-21T20:18:30.4586277Z 			"digest": "sha256:55a35e56f796d1f48b8a63c990ede1a75d2f65560b04c7b55672845ae99b461e"
2025-03-21T20:18:30.4586944Z 		},
2025-03-21T20:18:30.4587262Z 		{
2025-03-21T20:18:30.4587748Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:30.4588349Z 			"size": 637,
2025-03-21T20:18:30.4588931Z 			"digest": "sha256:4116b07c7ca15a3a34580b3b8c039d59e042ef72f0f02e2ff121bea0d7878663"
2025-03-21T20:18:30.4589598Z 		},
2025-03-21T20:18:30.4589892Z 		{
2025-03-21T20:18:30.4590368Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:30.4590968Z 			"size": 33668694,
2025-03-21T20:18:30.4591561Z 			"digest": "sha256:cf6a0478ca56cd157e99ad6be8c6390902bc94f1e19512d7e433964e5d5b5d5b"
2025-03-21T20:18:30.4592236Z 		},
2025-03-21T20:18:30.4592525Z 		{
2025-03-21T20:18:30.4593004Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:30.4593598Z 			"size": 318,
2025-03-21T20:18:30.4594176Z 			"digest": "sha256:3b4cd7004f33f8e021fd6e6c068ee019298c34a08b0492e152ac8aa2e013b796"
2025-03-21T20:18:30.4594849Z 		},
2025-03-21T20:18:30.4595136Z 		{
2025-03-21T20:18:30.4595608Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:30.4596212Z 			"size": 244427647,
2025-03-21T20:18:30.4596800Z 			"digest": "sha256:9c1e20dd9a42f63910af9367756b66820493318e0ac1ba6404a968f2e6e3215c"
2025-03-21T20:18:30.4597475Z 		},
2025-03-21T20:18:30.4597768Z 		{
2025-03-21T20:18:30.4598242Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:30.4598838Z 			"size": 475,
2025-03-21T20:18:30.4599409Z 			"digest": "sha256:145833aca2835f9f71580281117cc4c981d0a32e6c14db47ff76b78ca6359311"
2025-03-21T20:18:30.4600073Z 		},
2025-03-21T20:18:30.4600365Z 		{
2025-03-21T20:18:30.4600855Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:30.4601452Z 			"size": 1042,
2025-03-21T20:18:30.4602038Z 			"digest": "sha256:1a18f7e26037f9e4136eceae6a4a22d12c1893dc321385ae24da5c99a83461b1"
2025-03-21T20:18:30.4602716Z 		},
2025-03-21T20:18:30.4603013Z 		{
2025-03-21T20:18:30.4603488Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:30.4604081Z 			"size": 611,
2025-03-21T20:18:30.4604658Z 			"digest": "sha256:82635263661e2b2d13043678fb15fbe49d392d190aef88a0df41d2e54c8c824c"
2025-03-21T20:18:30.4605623Z 		},
2025-03-21T20:18:30.4606050Z 		{
2025-03-21T20:18:30.4606526Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:30.4607123Z 			"size": 108847074,
2025-03-21T20:18:30.4607715Z 			"digest": "sha256:0551c017ae818c6377369d432d4b3f6cb943365a04fde23b2d7dbc166bbca7ca"
2025-03-21T20:18:30.4608384Z 		},
2025-03-21T20:18:30.4608675Z 		{
2025-03-21T20:18:30.4609150Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:30.4609749Z 			"size": 564,
2025-03-21T20:18:30.4610317Z 			"digest": "sha256:c16e35c9661429be66b2fc0d47ee6f87240ce318684467b0567550293cfa387b"
2025-03-21T20:18:30.4610983Z 		},
2025-03-21T20:18:30.4611280Z 		{
2025-03-21T20:18:30.4611759Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:30.4612365Z 			"size": 208,
2025-03-21T20:18:30.4613136Z 			"digest": "sha256:3ad3c7d7d14a2a6c674dc6035399c34569aff598a23ff58493fad46f940ec3f6"
2025-03-21T20:18:30.4613848Z 		},
2025-03-21T20:18:30.4614140Z 		{
2025-03-21T20:18:30.4614623Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:30.4615221Z 			"size": 1189,
2025-03-21T20:18:30.4615800Z 			"digest": "sha256:8830bd728cbd452ee88aa086fc19692143cdeaff3d11106915ae27f97f161901"
2025-03-21T20:18:30.4616469Z 		},
2025-03-21T20:18:30.4616765Z 		{
2025-03-21T20:18:30.4617236Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:30.4617829Z 			"size": 678,
2025-03-21T20:18:30.4618416Z 			"digest": "sha256:a9de9234777cc1a20d1d6b21632cd8627c291ad95ef70cb4a730b976de62f808"
2025-03-21T20:18:30.4619084Z 		},
2025-03-21T20:18:30.4619375Z 		{
2025-03-21T20:18:30.4619849Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:30.4620440Z 			"size": 1143915792,
2025-03-21T20:18:30.4621065Z 			"digest": "sha256:0b23b48b8fcec9cd5758b53c5f5a3b1d55b968c7bdcc5c8bb20497e2e4d41445"
2025-03-21T20:18:30.4621752Z 		},
2025-03-21T20:18:30.4622055Z 		{
2025-03-21T20:18:30.4622534Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:30.4623125Z 			"size": 1381,
2025-03-21T20:18:30.4623719Z 			"digest": "sha256:5e7729c8c19f7ee8540f6c8edd615229a3c5e2b8f47c730a7e14d31a8038b40e"
2025-03-21T20:18:30.4624390Z 		},
2025-03-21T20:18:30.4624687Z 		{
2025-03-21T20:18:30.4625165Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:30.4625749Z 			"size": 678,
2025-03-21T20:18:30.4626348Z 			"digest": "sha256:a9de9234777cc1a20d1d6b21632cd8627c291ad95ef70cb4a730b976de62f808"
2025-03-21T20:18:30.4627028Z 		},
2025-03-21T20:18:30.4627324Z 		{
2025-03-21T20:18:30.4627804Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:30.4628396Z 			"size": 223543527,
2025-03-21T20:18:30.4629003Z 			"digest": "sha256:02aa2fb4345700525d3b0b3af142e5da83f48ce4be43f59869dde8688a944476"
2025-03-21T20:18:30.4629683Z 		},
2025-03-21T20:18:30.4629979Z 		{
2025-03-21T20:18:30.4630468Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:30.4631056Z 			"size": 828,
2025-03-21T20:18:30.4631630Z 			"digest": "sha256:3464920c9c020a760b7867720e80499c535724beee0e727b768fa9c3c979f703"
2025-03-21T20:18:30.4632292Z 		},
2025-03-21T20:18:30.4632582Z 		{
2025-03-21T20:18:30.4633059Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:30.4633645Z 			"size": 678,
2025-03-21T20:18:30.4634230Z 			"digest": "sha256:a9de9234777cc1a20d1d6b21632cd8627c291ad95ef70cb4a730b976de62f808"
2025-03-21T20:18:30.4634903Z 		},
2025-03-21T20:18:30.4635198Z 		{
2025-03-21T20:18:30.4635680Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:30.4636438Z 			"size": 149423004,
2025-03-21T20:18:30.4637056Z 			"digest": "sha256:87684e5c474c8175a082abfc5e630f361841d540383f5e49a87dd16b3b097576"
2025-03-21T20:18:30.4637714Z 		},
2025-03-21T20:18:30.4638022Z 		{
2025-03-21T20:18:30.4638487Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:30.4639333Z 			"size": 530,
2025-03-21T20:18:30.4640333Z 			"digest": "sha256:44b50c5e2ca60efca348edaa62c276e90a060083463edec336c8fb6163b664f7"
2025-03-21T20:18:30.4641017Z 		},
2025-03-21T20:18:30.4641304Z 		{
2025-03-21T20:18:30.4641764Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:30.4642357Z 			"size": 678,
2025-03-21T20:18:30.4642944Z 			"digest": "sha256:a9de9234777cc1a20d1d6b21632cd8627c291ad95ef70cb4a730b976de62f808"
2025-03-21T20:18:30.4643614Z 		},
2025-03-21T20:18:30.4643899Z 		{
2025-03-21T20:18:30.4644357Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:30.4644947Z 			"size": 355,
2025-03-21T20:18:30.4645531Z 			"digest": "sha256:224753fce160cefd1c5e83b53d98ec9edeacea0086d67fc96942269103686202"
2025-03-21T20:18:30.4646303Z 		},
2025-03-21T20:18:30.4646593Z 		{
2025-03-21T20:18:30.4647440Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:30.4648082Z 			"size": 32,
2025-03-21T20:18:30.4648671Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-03-21T20:18:30.4649352Z 		},
2025-03-21T20:18:30.4649642Z 		{
2025-03-21T20:18:30.4650109Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:30.4650705Z 			"size": 165,
2025-03-21T20:18:30.4651282Z 			"digest": "sha256:788b314b21e5388374b608e2da266f0a9b27903af8e2b485c5d9cc9f8a21e2a5"
2025-03-21T20:18:30.4651947Z 		},
2025-03-21T20:18:30.4652239Z 		{
2025-03-21T20:18:30.4652702Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:30.4653296Z 			"size": 1111,
2025-03-21T20:18:30.4653883Z 			"digest": "sha256:33d66e1ce781396ba538169972efe1be2b1b1da3565a86ad7c1e886fa2decbf7"
2025-03-21T20:18:30.4654553Z 		},
2025-03-21T20:18:30.4654841Z 		{
2025-03-21T20:18:30.4655315Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:30.4655906Z 			"size": 32,
2025-03-21T20:18:30.4656502Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-03-21T20:18:30.4657178Z 		},
2025-03-21T20:18:30.4657467Z 		{
2025-03-21T20:18:30.4657934Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:30.4658565Z + exit 0
2025-03-21T20:18:30.4658869Z 			"size": 108,
2025-03-21T20:18:30.4659458Z 			"digest": "sha256:84f191ac8f70eea3a0188d79da0086dd490bb90ce1a9ebb3a84a3689d6acc220"
2025-03-21T20:18:30.4660138Z 		}
2025-03-21T20:18:30.4660428Z 	]
2025-03-21T20:18:30.4660714Z }
2025-03-21T20:18:30.4710655Z ##[group]Run set -eux
2025-03-21T20:18:30.4711075Z set -eux
2025-03-21T20:18:30.4712287Z 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
2025-03-21T20:18:30.4721993Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:30.4722532Z env:
2025-03-21T20:18:30.4722951Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:18:30.4723500Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:30.4723920Z   PR_NUMBER: 
2025-03-21T20:18:30.4726339Z   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}"

MODEL_NAME=ic4
BUILD_TOOL="cmake"
BACKEND=portable

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Build and test ExecuTorch
PYTHON_EXECUTABLE=python bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "${BACKEND}"

2025-03-21T20:18:30.4728930Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:30.4729764Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:30.4730585Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:30.4731128Z ##[endgroup]
2025-03-21T20:18:30.4765723Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token
2025-03-21T20:18:30.4766483Z + jq --raw-output .SecretString
2025-03-21T20:18:30.4767589Z + jq -r .docker_hub_readonly_token
2025-03-21T20:18:30.4768608Z + docker login --username pytorchbot --password-stdin
2025-03-21T20:18:31.2679757Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-03-21T20:18:31.2680630Z Configure a credential helper to remove this warning. See
2025-03-21T20:18:31.2681436Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-03-21T20:18:31.2681987Z 
2025-03-21T20:18:31.2682537Z Login Succeeded
2025-03-21T20:18:31.2796937Z Prepare all required actions
2025-03-21T20:18:31.2855390Z ##[group]Run ./test-infra/.github/actions/pull-docker-image
2025-03-21T20:18:31.2855927Z with:
2025-03-21T20:18:31.2856965Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc11-aarch64:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:31.2858253Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:31.2858804Z env:
2025-03-21T20:18:31.2859188Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:18:31.2859729Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:31.2860136Z   PR_NUMBER: 
2025-03-21T20:18:31.2862463Z   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}"

MODEL_NAME=ic4
BUILD_TOOL="cmake"
BACKEND=portable

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Build and test ExecuTorch
PYTHON_EXECUTABLE=python bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "${BACKEND}"

2025-03-21T20:18:31.2865018Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:31.2865848Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:31.2866632Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:31.2867180Z ##[endgroup]
2025-03-21T20:18:31.2901581Z ##[group]Run set -x
2025-03-21T20:18:31.2901994Z set -x
2025-03-21T20:18:31.2902331Z set +e
2025-03-21T20:18:31.2902662Z 
2025-03-21T20:18:31.2902971Z login() {
2025-03-21T20:18:31.2903639Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-03-21T20:18:31.2904374Z }
2025-03-21T20:18:31.2904688Z 
2025-03-21T20:18:31.2905004Z retry () {
2025-03-21T20:18:31.2905416Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-03-21T20:18:31.2905887Z }
2025-03-21T20:18:31.2906209Z 
2025-03-21T20:18:31.2906560Z retry login "${DOCKER_REGISTRY}"
2025-03-21T20:18:31.2907008Z 
2025-03-21T20:18:31.2907313Z set -e
2025-03-21T20:18:31.2907799Z # ignore output since only exit code is used for conditional
2025-03-21T20:18:31.2908519Z # only pull docker image if it's not available locally
2025-03-21T20:18:31.2909286Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then
2025-03-21T20:18:31.2910077Z   retry docker pull "${DOCKER_IMAGE}"
2025-03-21T20:18:31.2910549Z fi
2025-03-21T20:18:31.2918212Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:31.2918750Z env:
2025-03-21T20:18:31.2919718Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc11-aarch64:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:31.2920922Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:31.2921353Z   PR_NUMBER: 
2025-03-21T20:18:31.2923701Z   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}"

MODEL_NAME=ic4
BUILD_TOOL="cmake"
BACKEND=portable

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Build and test ExecuTorch
PYTHON_EXECUTABLE=python bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "${BACKEND}"

2025-03-21T20:18:31.2926802Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:31.2927633Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:31.2928405Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:31.2929094Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:31.2929990Z ##[endgroup]
2025-03-21T20:18:31.2960926Z + set +e
2025-03-21T20:18:31.2961442Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:31.2962069Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:31.2964796Z + aws ecr get-login-password --region us-east-1
2025-03-21T20:18:31.2965930Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:31.9908478Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-03-21T20:18:31.9909372Z Configure a credential helper to remove this warning. See
2025-03-21T20:18:31.9910191Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-03-21T20:18:31.9910746Z 
2025-03-21T20:18:31.9910896Z Login Succeeded
2025-03-21T20:18:31.9927153Z + set -e
2025-03-21T20:18:31.9928245Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc11-aarch64:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:32.0066855Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc11-aarch64:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:32.0068625Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc11-aarch64:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:32.2449016Z 2abd9b1bd42f655b7d130222db4a0cdbc04da8a4: Pulling from executorch/executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:18:32.2450359Z 9b850f5aae4c: Pulling fs layer
2025-03-21T20:18:32.2451191Z badf7cb767d1: Pulling fs layer
2025-03-21T20:18:32.2451654Z 0f89db74a98d: Pulling fs layer
2025-03-21T20:18:32.2452073Z 32a4514e7ff5: Pulling fs layer
2025-03-21T20:18:32.2452602Z 37c6f550ae9b: Pulling fs layer
2025-03-21T20:18:32.2453013Z 41326e4613eb: Pulling fs layer
2025-03-21T20:18:32.2453482Z c5561e75697a: Pulling fs layer
2025-03-21T20:18:32.2453903Z e6a0b1cdd23a: Pulling fs layer
2025-03-21T20:18:32.2454361Z 55a35e56f796: Pulling fs layer
2025-03-21T20:18:32.2454780Z 4116b07c7ca1: Pulling fs layer
2025-03-21T20:18:32.2455200Z cf6a0478ca56: Pulling fs layer
2025-03-21T20:18:32.2455617Z 3b4cd7004f33: Pulling fs layer
2025-03-21T20:18:32.2456026Z 9c1e20dd9a42: Pulling fs layer
2025-03-21T20:18:32.2456445Z 145833aca283: Pulling fs layer
2025-03-21T20:18:32.2456876Z 1a18f7e26037: Pulling fs layer
2025-03-21T20:18:32.2457278Z 32a4514e7ff5: Waiting
2025-03-21T20:18:32.2457648Z 82635263661e: Pulling fs layer
2025-03-21T20:18:32.2458037Z 37c6f550ae9b: Waiting
2025-03-21T20:18:32.2458413Z 0551c017ae81: Pulling fs layer
2025-03-21T20:18:32.2458830Z c16e35c96614: Pulling fs layer
2025-03-21T20:18:32.2459232Z 3b4cd7004f33: Waiting
2025-03-21T20:18:32.2459589Z 41326e4613eb: Waiting
2025-03-21T20:18:32.2459955Z 3ad3c7d7d14a: Pulling fs layer
2025-03-21T20:18:32.2460358Z c5561e75697a: Waiting
2025-03-21T20:18:32.2460725Z 8830bd728cbd: Pulling fs layer
2025-03-21T20:18:32.2461133Z e6a0b1cdd23a: Waiting
2025-03-21T20:18:32.2461519Z a9de9234777c: Pulling fs layer
2025-03-21T20:18:32.2461916Z 9c1e20dd9a42: Waiting
2025-03-21T20:18:32.2462292Z 0b23b48b8fce: Pulling fs layer
2025-03-21T20:18:32.2462714Z 5e7729c8c19f: Pulling fs layer
2025-03-21T20:18:32.2463132Z 02aa2fb43457: Pulling fs layer
2025-03-21T20:18:32.2463541Z 55a35e56f796: Waiting
2025-03-21T20:18:32.2463900Z 3464920c9c02: Pulling fs layer
2025-03-21T20:18:32.2464748Z cf6a0478ca56: Waiting
2025-03-21T20:18:32.2465108Z 4116b07c7ca1: Waiting
2025-03-21T20:18:32.2465482Z 87684e5c474c: Pulling fs layer
2025-03-21T20:18:32.2465872Z 145833aca283: Waiting
2025-03-21T20:18:32.2466246Z 44b50c5e2ca6: Pulling fs layer
2025-03-21T20:18:32.2466662Z 224753fce160: Pulling fs layer
2025-03-21T20:18:32.2467057Z 1a18f7e26037: Waiting
2025-03-21T20:18:32.2467428Z 4f4fb700ef54: Pulling fs layer
2025-03-21T20:18:32.2467832Z 788b314b21e5: Pulling fs layer
2025-03-21T20:18:32.2468228Z 8830bd728cbd: Waiting
2025-03-21T20:18:32.2468609Z 33d66e1ce781: Pulling fs layer
2025-03-21T20:18:32.2468998Z 82635263661e: Waiting
2025-03-21T20:18:32.2469620Z 84f191ac8f70: Pulling fs layer
2025-03-21T20:18:32.2470044Z a9de9234777c: Waiting
2025-03-21T20:18:32.2470402Z 0b23b48b8fce: Waiting
2025-03-21T20:18:32.2470753Z 0551c017ae81: Waiting
2025-03-21T20:18:32.2471091Z 5e7729c8c19f: Waiting
2025-03-21T20:18:32.2471435Z 3464920c9c02: Waiting
2025-03-21T20:18:32.2471789Z 02aa2fb43457: Waiting
2025-03-21T20:18:32.2472135Z c16e35c96614: Waiting
2025-03-21T20:18:32.2472490Z 4f4fb700ef54: Waiting
2025-03-21T20:18:32.2472841Z 3ad3c7d7d14a: Waiting
2025-03-21T20:18:32.2473188Z 788b314b21e5: Waiting
2025-03-21T20:18:32.2473541Z 84f191ac8f70: Waiting
2025-03-21T20:18:32.2473893Z 44b50c5e2ca6: Waiting
2025-03-21T20:18:32.2474247Z 87684e5c474c: Waiting
2025-03-21T20:18:32.2474599Z 224753fce160: Waiting
2025-03-21T20:18:32.2474965Z 33d66e1ce781: Waiting
2025-03-21T20:18:32.3133367Z badf7cb767d1: Verifying Checksum
2025-03-21T20:18:32.3134132Z badf7cb767d1: Download complete
2025-03-21T20:18:32.3871171Z 32a4514e7ff5: Download complete
2025-03-21T20:18:32.5784815Z 9b850f5aae4c: Verifying Checksum
2025-03-21T20:18:32.5785353Z 9b850f5aae4c: Download complete
2025-03-21T20:18:32.6540848Z 41326e4613eb: Download complete
2025-03-21T20:18:32.6706234Z 37c6f550ae9b: Verifying Checksum
2025-03-21T20:18:32.6706768Z 37c6f550ae9b: Download complete
2025-03-21T20:18:32.7413207Z c5561e75697a: Verifying Checksum
2025-03-21T20:18:32.7413780Z c5561e75697a: Download complete
2025-03-21T20:18:32.7572714Z e6a0b1cdd23a: Verifying Checksum
2025-03-21T20:18:32.7573244Z e6a0b1cdd23a: Download complete
2025-03-21T20:18:32.8266875Z 55a35e56f796: Download complete
2025-03-21T20:18:32.8346868Z 4116b07c7ca1: Verifying Checksum
2025-03-21T20:18:32.8347373Z 4116b07c7ca1: Download complete
2025-03-21T20:18:32.9085726Z 3b4cd7004f33: Verifying Checksum
2025-03-21T20:18:32.9086294Z 3b4cd7004f33: Download complete
2025-03-21T20:18:33.2117960Z cf6a0478ca56: Verifying Checksum
2025-03-21T20:18:33.2118501Z cf6a0478ca56: Download complete
2025-03-21T20:18:33.2936443Z 145833aca283: Download complete
2025-03-21T20:18:33.3795705Z 1a18f7e26037: Download complete
2025-03-21T20:18:33.4561120Z 82635263661e: Verifying Checksum
2025-03-21T20:18:33.4561633Z 82635263661e: Download complete
2025-03-21T20:18:33.6537503Z 9b850f5aae4c: Pull complete
2025-03-21T20:18:33.6766152Z badf7cb767d1: Pull complete
2025-03-21T20:18:33.8421611Z 0f89db74a98d: Verifying Checksum
2025-03-21T20:18:33.8422283Z 0f89db74a98d: Download complete
2025-03-21T20:18:33.9356225Z c16e35c96614: Verifying Checksum
2025-03-21T20:18:33.9356759Z c16e35c96614: Download complete
2025-03-21T20:18:34.0090831Z 3ad3c7d7d14a: Verifying Checksum
2025-03-21T20:18:34.0091539Z 3ad3c7d7d14a: Download complete
2025-03-21T20:18:34.0856878Z 8830bd728cbd: Verifying Checksum
2025-03-21T20:18:34.0857408Z 8830bd728cbd: Download complete
2025-03-21T20:18:34.1523785Z a9de9234777c: Download complete
2025-03-21T20:18:34.6069996Z 0551c017ae81: Verifying Checksum
2025-03-21T20:18:34.6070512Z 0551c017ae81: Download complete
2025-03-21T20:18:34.6790439Z 5e7729c8c19f: Download complete
2025-03-21T20:18:35.4008994Z 9c1e20dd9a42: Verifying Checksum
2025-03-21T20:18:35.4009516Z 9c1e20dd9a42: Download complete
2025-03-21T20:18:36.9582221Z 02aa2fb43457: Verifying Checksum
2025-03-21T20:18:36.9582749Z 02aa2fb43457: Download complete
2025-03-21T20:18:37.0376206Z 44b50c5e2ca6: Verifying Checksum
2025-03-21T20:18:37.0377129Z 44b50c5e2ca6: Download complete
2025-03-21T20:18:37.0499821Z 87684e5c474c: Download complete
2025-03-21T20:18:37.0603713Z 4f4fb700ef54: Download complete
2025-03-21T20:18:37.1280028Z 224753fce160: Verifying Checksum
2025-03-21T20:18:37.1280543Z 224753fce160: Download complete
2025-03-21T20:18:37.1390563Z 788b314b21e5: Verifying Checksum
2025-03-21T20:18:37.1391247Z 788b314b21e5: Download complete
2025-03-21T20:18:37.2094688Z 84f191ac8f70: Download complete
2025-03-21T20:18:37.2138816Z 33d66e1ce781: Verifying Checksum
2025-03-21T20:18:37.2139589Z 33d66e1ce781: Download complete
2025-03-21T20:18:38.0240595Z 0f89db74a98d: Pull complete
2025-03-21T20:18:38.0482590Z 32a4514e7ff5: Pull complete
2025-03-21T20:18:38.2426495Z 37c6f550ae9b: Pull complete
2025-03-21T20:18:38.2642936Z 41326e4613eb: Pull complete
2025-03-21T20:18:38.2856298Z c5561e75697a: Pull complete
2025-03-21T20:18:38.3084762Z e6a0b1cdd23a: Pull complete
2025-03-21T20:18:38.3354183Z 55a35e56f796: Pull complete
2025-03-21T20:18:38.3566671Z 4116b07c7ca1: Pull complete
2025-03-21T20:18:38.7939062Z cf6a0478ca56: Pull complete
2025-03-21T20:18:38.8157748Z 3b4cd7004f33: Pull complete
2025-03-21T20:18:44.2280384Z 9c1e20dd9a42: Pull complete
2025-03-21T20:18:44.2501261Z 145833aca283: Pull complete
2025-03-21T20:18:44.2733209Z 1a18f7e26037: Pull complete
2025-03-21T20:18:44.2953554Z 82635263661e: Pull complete
2025-03-21T20:18:45.6532043Z 0b23b48b8fce: Verifying Checksum
2025-03-21T20:18:45.6532866Z 0b23b48b8fce: Download complete
2025-03-21T20:18:46.6140232Z 0551c017ae81: Pull complete
2025-03-21T20:18:46.7137458Z c16e35c96614: Pull complete
2025-03-21T20:18:46.7364901Z 3ad3c7d7d14a: Pull complete
2025-03-21T20:18:46.7584589Z 8830bd728cbd: Pull complete
2025-03-21T20:18:46.7806083Z a9de9234777c: Pull complete
2025-03-21T20:19:17.3519604Z 0b23b48b8fce: Pull complete
2025-03-21T20:19:17.3620472Z 5e7729c8c19f: Pull complete
2025-03-21T20:19:23.6641096Z 02aa2fb43457: Pull complete
2025-03-21T20:19:23.8652550Z 3464920c9c02: Pull complete
2025-03-21T20:19:30.5351952Z 87684e5c474c: Pull complete
2025-03-21T20:19:30.6893162Z 44b50c5e2ca6: Pull complete
2025-03-21T20:19:31.0813001Z 224753fce160: Pull complete
2025-03-21T20:19:31.2936074Z 4f4fb700ef54: Pull complete
2025-03-21T20:19:31.4991852Z 788b314b21e5: Pull complete
2025-03-21T20:19:31.6776212Z 33d66e1ce781: Pull complete
2025-03-21T20:19:32.0360522Z 84f191ac8f70: Pull complete
2025-03-21T20:19:32.1062398Z Digest: sha256:90ee37cd9757fddd3d75376538c60943daae19d57cdefc60b3ce0330b2e29f5a
2025-03-21T20:19:32.1289703Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc11-aarch64:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:19:32.1377112Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc11-aarch64:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:19:32.1439380Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-03-21T20:19:32.1441068Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-03-21T20:19:32.1449411Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:19:32.1450854Z env:
2025-03-21T20:19:32.1451262Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:19:32.1451807Z   REPOSITORY: pytorch/executorch
2025-03-21T20:19:32.1452217Z   PR_NUMBER: 
2025-03-21T20:19:32.1454565Z   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}"

MODEL_NAME=ic4
BUILD_TOOL="cmake"
BACKEND=portable

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Build and test ExecuTorch
PYTHON_EXECUTABLE=python bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "${BACKEND}"

2025-03-21T20:19:32.1457149Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:19:32.1458298Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:19:32.1459085Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:19:32.1459983Z ##[endgroup]
2025-03-21T20:19:32.1628109Z ##[group]Run set -ex
2025-03-21T20:19:32.1628593Z set -ex
2025-03-21T20:19:32.1628916Z {
2025-03-21T20:19:32.1629256Z   echo "#!/usr/bin/env bash";
2025-03-21T20:19:32.1629728Z   echo "set -eou pipefail";
2025-03-21T20:19:32.1630194Z   # shellcheck disable=SC2016
2025-03-21T20:19:32.1630689Z   echo 'eval "$(conda shell.bash hook)"';
2025-03-21T20:19:32.1631171Z   echo "set -x";
2025-03-21T20:19:32.1631558Z   echo "${SCRIPT}";
2025-03-21T20:19:32.1631988Z } > "${RUNNER_TEMP}/exec_script"
2025-03-21T20:19:32.1632485Z chmod +x "${RUNNER_TEMP}/exec_script"
2025-03-21T20:19:32.1633501Z python3 "/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/.github/scripts/run_with_env_secrets.py" ""
2025-03-21T20:19:32.1641931Z shell: /usr/bin/bash -e {0}
2025-03-21T20:19:32.1642334Z env:
2025-03-21T20:19:32.1643353Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc11-aarch64:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:19:32.1644468Z   REPOSITORY: pytorch/executorch
2025-03-21T20:19:32.1644877Z   PR_NUMBER: 
2025-03-21T20:19:32.1647259Z   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}"

MODEL_NAME=ic4
BUILD_TOOL="cmake"
BACKEND=portable

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Build and test ExecuTorch
PYTHON_EXECUTABLE=python bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "${BACKEND}"

2025-03-21T20:19:32.1649827Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:19:32.1650676Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:19:32.1651462Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:19:32.1652454Z   ALL_SECRETS: {
  "github_token": "***"
}
2025-03-21T20:19:32.1652920Z ##[endgroup]
2025-03-21T20:19:32.1685985Z + echo '#!/usr/bin/env bash'
2025-03-21T20:19:32.1688211Z + echo 'set -eou pipefail'
2025-03-21T20:19:32.1688678Z + echo 'eval "$(conda shell.bash hook)"'
2025-03-21T20:19:32.1689136Z + echo 'set -x'
2025-03-21T20:19:32.1689704Z + echo '# The generic Linux job chooses to use base env, not the one setup by the image
2025-03-21T20:19:32.1690473Z CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
2025-03-21T20:19:32.1691026Z conda activate "${CONDA_ENV}"
2025-03-21T20:19:32.1691290Z 
2025-03-21T20:19:32.1691430Z MODEL_NAME=ic4
2025-03-21T20:19:32.1691844Z BUILD_TOOL="cmake"
2025-03-21T20:19:32.1692262Z BACKEND=portable
2025-03-21T20:19:32.1692499Z 
2025-03-21T20:19:32.1692926Z PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
2025-03-21T20:19:32.1693647Z # Build and test ExecuTorch
2025-03-21T20:19:32.1694396Z PYTHON_EXECUTABLE=python bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "${BACKEND}"
2025-03-21T20:19:32.1695152Z '
2025-03-21T20:19:32.1695596Z + chmod +x /home/ec2-user/actions-runner/_work/_temp/exec_script
2025-03-21T20:19:32.1700165Z + python3 /home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/.github/scripts/run_with_env_secrets.py ''
2025-03-21T20:19:55.9473821Z Running command: 
2025-03-21T20:19:55.9482136Z         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_14000170668"             `# 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_27a0a70a-1e9c-4096-9681-48a63bc5f590":"/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_27a0a70a-1e9c-4096-9681-48a63bc5f590"             -w /pytorch/executorch             "308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc11-aarch64:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4"
2025-03-21T20:19:55.9490308Z         
2025-03-21T20:19:55.9490797Z b9af08b8d89c7710e8497aae0bf60ec987f5d104c6bde2af9e1b755f3f54f04e
2025-03-21T20:19:55.9491774Z Running command: docker exec -t b9af08b8d89c7710e8497aae0bf60ec987f5d104c6bde2af9e1b755f3f54f04e /exec
2025-03-21T20:19:55.9492591Z ++ conda env list --json
2025-03-21T20:19:55.9492989Z ++ local cmd=env
2025-03-21T20:19:55.9493333Z ++ case "$cmd" in
2025-03-21T20:19:55.9493701Z ++ __conda_exe env list --json
2025-03-21T20:19:55.9494111Z ++ jq -r '.envs | .[-1]'
2025-03-21T20:19:55.9494519Z ++ /opt/conda/bin/conda env list --json
2025-03-21T20:19:55.9494995Z + CONDA_ENV=/opt/conda/envs/py_3.10
2025-03-21T20:19:55.9495475Z + conda activate /opt/conda/envs/py_3.10
2025-03-21T20:19:55.9495948Z + local cmd=activate
2025-03-21T20:19:55.9496299Z + case "$cmd" in
2025-03-21T20:19:55.9496714Z + __conda_activate activate /opt/conda/envs/py_3.10
2025-03-21T20:19:55.9497215Z + '[' -n '' ']'
2025-03-21T20:19:55.9497551Z + local ask_conda
2025-03-21T20:19:55.9497905Z ++ PS1='(base) '
2025-03-21T20:19:55.9498343Z ++ __conda_exe shell.posix activate /opt/conda/envs/py_3.10
2025-03-21T20:19:55.9499032Z ++ /opt/conda/bin/conda shell.posix activate /opt/conda/envs/py_3.10
2025-03-21T20:19:55.9499641Z + ask_conda='PS1='\''(py_3.10) '\''
2025-03-21T20:19:55.9500852Z 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'\''
2025-03-21T20:19:55.9502139Z export CONDA_PREFIX='\''/opt/conda/envs/py_3.10'\''
2025-03-21T20:19:55.9502653Z export CONDA_SHLVL='\''2'\''
2025-03-21T20:19:55.9503076Z export CONDA_DEFAULT_ENV='\''py_3.10'\''
2025-03-21T20:19:55.9503582Z export CONDA_PROMPT_MODIFIER='\''(py_3.10) '\''
2025-03-21T20:19:55.9504109Z export CONDA_PREFIX_1='\''/opt/conda'\''
2025-03-21T20:19:55.9504605Z export CONDA_EXE='\''/opt/conda/bin/conda'\''
2025-03-21T20:19:55.9505081Z export _CE_M='\'''\''
2025-03-21T20:19:55.9505442Z export _CE_CONDA='\'''\''
2025-03-21T20:19:55.9505917Z export CONDA_PYTHON_EXE='\''/opt/conda/bin/python'\'''
2025-03-21T20:19:55.9506442Z + eval 'PS1='\''(py_3.10) '\''
2025-03-21T20:19:55.9507627Z 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'\''
2025-03-21T20:19:55.9508914Z export CONDA_PREFIX='\''/opt/conda/envs/py_3.10'\''
2025-03-21T20:19:55.9509419Z export CONDA_SHLVL='\''2'\''
2025-03-21T20:19:55.9509852Z export CONDA_DEFAULT_ENV='\''py_3.10'\''
2025-03-21T20:19:55.9510360Z export CONDA_PROMPT_MODIFIER='\''(py_3.10) '\''
2025-03-21T20:19:55.9510876Z export CONDA_PREFIX_1='\''/opt/conda'\''
2025-03-21T20:19:55.9511377Z export CONDA_EXE='\''/opt/conda/bin/conda'\''
2025-03-21T20:19:55.9512126Z export _CE_M='\'''\''
2025-03-21T20:19:55.9512501Z export _CE_CONDA='\'''\''
2025-03-21T20:19:55.9512982Z export CONDA_PYTHON_EXE='\''/opt/conda/bin/python'\'''
2025-03-21T20:19:55.9513501Z ++ PS1='(py_3.10) '
2025-03-21T20:19:55.9514807Z ++ 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
2025-03-21T20:19:55.9516759Z ++ 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
2025-03-21T20:19:55.9517959Z ++ export CONDA_PREFIX=/opt/conda/envs/py_3.10
2025-03-21T20:19:55.9518468Z ++ CONDA_PREFIX=/opt/conda/envs/py_3.10
2025-03-21T20:19:55.9518924Z ++ export CONDA_SHLVL=2
2025-03-21T20:19:55.9519496Z ++ CONDA_SHLVL=2
2025-03-21T20:19:55.9519867Z ++ export CONDA_DEFAULT_ENV=py_3.10
2025-03-21T20:19:55.9520316Z ++ CONDA_DEFAULT_ENV=py_3.10
2025-03-21T20:19:55.9520861Z ++ export 'CONDA_PROMPT_MODIFIER=(py_3.10) '
2025-03-21T20:19:55.9521354Z ++ CONDA_PROMPT_MODIFIER='(py_3.10) '
2025-03-21T20:19:55.9521818Z ++ export CONDA_PREFIX_1=/opt/conda
2025-03-21T20:19:55.9522270Z ++ CONDA_PREFIX_1=/opt/conda
2025-03-21T20:19:55.9522700Z ++ export CONDA_EXE=/opt/conda/bin/conda
2025-03-21T20:19:55.9523164Z ++ CONDA_EXE=/opt/conda/bin/conda
2025-03-21T20:19:55.9523583Z ++ export _CE_M=
2025-03-21T20:19:55.9523920Z ++ _CE_M=
2025-03-21T20:19:55.9524242Z ++ export _CE_CONDA=
2025-03-21T20:19:55.9524594Z ++ _CE_CONDA=
2025-03-21T20:19:55.9524977Z ++ export CONDA_PYTHON_EXE=/opt/conda/bin/python
2025-03-21T20:19:55.9525497Z ++ CONDA_PYTHON_EXE=/opt/conda/bin/python
2025-03-21T20:19:55.9526051Z + __conda_hashr
2025-03-21T20:19:55.9526392Z + '[' -n '' ']'
2025-03-21T20:19:55.9526718Z + '[' -n '' ']'
2025-03-21T20:19:55.9527039Z + hash -r
2025-03-21T20:19:55.9527354Z + MODEL_NAME=ic4
2025-03-21T20:19:55.9527694Z + BUILD_TOOL=cmake
2025-03-21T20:19:55.9528067Z + BACKEND=portable
2025-03-21T20:19:55.9528439Z + PYTHON_EXECUTABLE=python
2025-03-21T20:19:55.9528908Z + bash .ci/scripts/setup-linux.sh --build-tool cmake
2025-03-21T20:19:55.9529451Z ++ dirname .ci/scripts/setup-linux.sh
2025-03-21T20:19:55.9529921Z + source .ci/scripts/utils.sh
2025-03-21T20:19:55.9530364Z + read -r BUILD_TOOL BUILD_MODE EDITABLE
2025-03-21T20:19:55.9530844Z ++ parse_args --build-tool cmake
2025-03-21T20:19:55.9531279Z ++ args=('--build-tool' 'cmake')
2025-03-21T20:19:55.9531686Z ++ local args
2025-03-21T20:19:55.9532009Z ++ local i
2025-03-21T20:19:55.9532332Z ++ local BUILD_TOOL=
2025-03-21T20:19:55.9532686Z ++ local BUILD_MODE=
2025-03-21T20:19:55.9533040Z ++ local EDITABLE=
2025-03-21T20:19:55.9533388Z ++ (( i=0 ))
2025-03-21T20:19:55.9533728Z ++ (( i<2 ))
2025-03-21T20:19:55.9534061Z ++ case "${args[$i]}" in
2025-03-21T20:19:55.9534428Z ++ BUILD_TOOL=cmake
2025-03-21T20:19:55.9534760Z ++ i=1
2025-03-21T20:19:55.9535061Z ++ (( i++ ))
2025-03-21T20:19:55.9535383Z ++ (( i<2 ))
2025-03-21T20:19:55.9535707Z ++ '[' -z cmake ']'
2025-03-21T20:19:55.9536063Z ++ [[ cmake =~ ^(cmake|buck2)$ ]]
2025-03-21T20:19:55.9536481Z ++ BUILD_MODE=Release
2025-03-21T20:19:55.9536861Z ++ [[ Release =~ ^(Debug|Release)$ ]]
2025-03-21T20:19:55.9537309Z ++ EDITABLE=false
2025-03-21T20:19:55.9537663Z ++ [[ false =~ ^(true|false)$ ]]
2025-03-21T20:19:55.9538093Z ++ echo 'cmake Release false'
2025-03-21T20:19:55.9538502Z + [[ false == \t\r\u\e ]]
2025-03-21T20:19:55.9538928Z + install_executorch --use-pt-pinned-commit
2025-03-21T20:19:55.9539399Z + which pip
2025-03-21T20:19:55.9540243Z /opt/conda/envs/py_3.10/bin/pip
2025-03-21T20:19:55.9540846Z + ./install_executorch.sh --pybind xnnpack --use-pt-pinned-commit
2025-03-21T20:19:55.9541598Z 2025-03-21 20:19:54,707 [ExecuTorch] INFO: All required submodules are present.
2025-03-21T20:19:55.9542507Z Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/nightly/cpu
2025-03-21T20:19:55.9543638Z Requirement already satisfied: torch in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (2.7.0a0+git295f2ed)
2025-03-21T20:19:55.9545347Z Requirement already satisfied: torchvision in /var/lib/ci-user/.local/lib/python3.10/site-packages (0.19.0a0+d23a6e1)
2025-03-21T20:19:55.9546825Z Requirement already satisfied: torchaudio in /var/lib/ci-user/.local/lib/python3.10/site-packages (2.6.0a0+c670ad8)
2025-03-21T20:19:55.9547878Z Collecting timm==1.0.7 (from -r requirements-examples.txt (line 3))
2025-03-21T20:19:55.9548591Z   Downloading timm-1.0.7-py3-none-any.whl.metadata (47 kB)
2025-03-21T20:19:55.9549774Z 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)
2025-03-21T20:19:55.9551493Z 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 5)) (4.47.1)
2025-03-21T20:19:55.9552726Z Collecting cmake>=3.19 (from -r requirements-dev.txt (line 1))
2025-03-21T20:19:55.9553650Z   Downloading cmake-3.31.6-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.metadata (6.3 kB)
2025-03-21T20:19:55.9554992Z Requirement already satisfied: pip>=23 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from -r requirements-dev.txt (line 2)) (25.0)
2025-03-21T20:19:55.9556561Z 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)
2025-03-21T20:19:55.9558174Z Requirement already satisfied: setuptools>=63 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from -r requirements-dev.txt (line 4)) (75.8.0)
2025-03-21T20:19:55.9559785Z 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)
2025-03-21T20:19:55.9561354Z 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)
2025-03-21T20:19:55.9562924Z 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)
2025-03-21T20:19:55.9564670Z 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)) (0.29.3)
2025-03-21T20:19:55.9566622Z Requirement already satisfied: safetensors in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from timm==1.0.7->-r requirements-examples.txt (line 3)) (0.5.3)
2025-03-21T20:19:55.9568467Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from transformers==4.47.1->-r requirements-examples.txt (line 5)) (3.18.0)
2025-03-21T20:19:55.9570351Z Requirement already satisfied: numpy>=1.17 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from transformers==4.47.1->-r requirements-examples.txt (line 5)) (2.2.4)
2025-03-21T20:20:14.1283381Z Requirement already satisfied: packaging>=20.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from transformers==4.47.1->-r requirements-examples.txt (line 5)) (24.2)
2025-03-21T20:20:14.1285476Z Requirement already satisfied: regex!=2019.12.17 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from transformers==4.47.1->-r requirements-examples.txt (line 5)) (2024.11.6)
2025-03-21T20:20:14.1287478Z Requirement already satisfied: requests in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from transformers==4.47.1->-r requirements-examples.txt (line 5)) (2.32.3)
2025-03-21T20:20:14.1289438Z Requirement already satisfied: tokenizers<0.22,>=0.21 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from transformers==4.47.1->-r requirements-examples.txt (line 5)) (0.21.1)
2025-03-21T20:20:14.1291356Z Requirement already satisfied: tqdm>=4.27 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from transformers==4.47.1->-r requirements-examples.txt (line 5)) (4.67.1)
2025-03-21T20:20:14.1293029Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch) (4.12.2)
2025-03-21T20:20:14.1295290Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch) (1.13.3)
2025-03-21T20:20:14.1296799Z Requirement already satisfied: networkx in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch) (3.4.2)
2025-03-21T20:20:14.1298112Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch) (3.1.6)
2025-03-21T20:20:14.1299392Z Requirement already satisfied: fsspec in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch) (2025.3.0)
2025-03-21T20:20:14.1300743Z Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torchvision) (11.1.0)
2025-03-21T20:20:14.1302179Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from sympy>=1.13.3->torch) (1.3.0)
2025-03-21T20:20:14.1303637Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch) (3.0.2)
2025-03-21T20:20:14.1305443Z Requirement already satisfied: charset-normalizer<4,>=2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from requests->transformers==4.47.1->-r requirements-examples.txt (line 5)) (3.4.1)
2025-03-21T20:20:14.1307503Z Requirement already satisfied: idna<4,>=2.5 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from requests->transformers==4.47.1->-r requirements-examples.txt (line 5)) (3.10)
2025-03-21T20:20:14.1309502Z Requirement already satisfied: urllib3<3,>=1.21.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from requests->transformers==4.47.1->-r requirements-examples.txt (line 5)) (2.3.0)
2025-03-21T20:20:14.1311563Z Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from requests->transformers==4.47.1->-r requirements-examples.txt (line 5)) (2025.1.31)
2025-03-21T20:20:14.1312902Z Downloading timm-1.0.7-py3-none-any.whl (2.3 MB)
2025-03-21T20:20:14.1316555Z [?25l   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/2.3 MB ? eta -:--:--
2025-03-21T20:20:14.1317695Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.3/2.3 MB 98.7 MB/s eta 0:00:00
2025-03-21T20:20:14.1318772Z [?25hDownloading cmake-3.31.6-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (27.2 MB)
2025-03-21T20:20:14.1319874Z [?25l   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/27.2 MB ? eta -:--:--
2025-03-21T20:20:14.1320822Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 27.2/27.2 MB 145.8 MB/s eta 0:00:00
2025-03-21T20:20:14.1321589Z [?25hInstalling collected packages: cmake, timm
2025-03-21T20:20:14.1322105Z   Attempting uninstall: timm
2025-03-21T20:20:14.1322547Z     Found existing installation: timm 0.6.13
2025-03-21T20:20:14.1323060Z     Uninstalling timm-0.6.13:
2025-03-21T20:20:14.1323505Z       Successfully uninstalled timm-0.6.13
2025-03-21T20:20:14.1324022Z Successfully installed cmake-3.31.6 timm-1.0.7
2025-03-21T20:20:14.1324530Z Processing ./third-party/ao
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2025-03-21T20:20:14.1325906Z [?25hBuilding wheels for collected packages: torchao
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2025-03-21T20:20:14.1328236Z [?25h  Created wheel for torchao: filename=torchao-0.10.0+git64bcf4c-py3-none-any.whl size=758276 sha256=ff0212dd4b2ce52a749b2d9d33bb9bf447d705f92ad3e61664474984da790d2a
2025-03-21T20:20:14.1329897Z   Stored in directory: /tmp/pip-ephem-wheel-cache-crldxpv5/wheels/0b/23/ff/2261dc1c4a27252503fe159d9fc88676b133e0e8d621abf36f
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2025-03-21T20:20:14.1331275Z Installing collected packages: torchao
2025-03-21T20:20:14.1332063Z Successfully installed torchao-0.10.0+git64bcf4c
2025-03-21T20:20:14.1332833Z Using pip 25.0 from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/pip (python 3.10)
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2025-03-21T20:20:28.7734859Z Building wheels for collected packages: executorch
2025-03-21T20:20:28.7735517Z   Running command Building wheel for executorch (pyproject.toml)
2025-03-21T20:20:28.7736108Z   running bdist_wheel
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2025-03-21T20:20:28.7737717Z     build_purelib = pip-out/lib
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2025-03-21T20:20:28.7738856Z     build_lib = pip-out/lib.linux-aarch64-cpython-310
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2025-03-21T20:20:28.7745679Z     plat_name = linux-aarch64
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2025-03-21T20:20:29.0046711Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-avgpool/f16-avgpool-9p8x-minmax-neonfp16arith-c8.c: In function ‘xnn_f16_avgpool_minmax_ukernel_9p8x__neonfp16arith_c8’:
2025-03-21T20:20:29.0049565Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-avgpool/f16-avgpool-9p8x-minmax-neonfp16arith-c8.c:30:66: warning: passing argument 1 of ‘vld1q_dup_u16’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:29.0054631Z      30 |   const float16x8_t vscale = vreinterpretq_f16_u16(vld1q_dup_u16(&params->scalar.scale));
2025-03-21T20:20:29.0055416Z         |                                                                  ^~~~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:29.0055979Z         |                                                                  |
2025-03-21T20:20:29.0056519Z         |                                                                  const xnn_float16 *
2025-03-21T20:20:29.0057825Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-avgpool/f16-avgpool-9p8x-minmax-neonfp16arith-c8.c:8:
2025-03-21T20:20:29.0060087Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16958:32: note: expected ‘const uint16_t *’ {aka ‘const short unsigned int *’} but argument is of type ‘const xnn_float16 *’
2025-03-21T20:20:29.0061311Z   16958 | vld1q_dup_u16 (const uint16_t* __a)
2025-03-21T20:20:29.0061786Z         |                ~~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:29.0063650Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-avgpool/f16-avgpool-9p8x-minmax-neonfp16arith-c8.c:31:64: warning: passing argument 1 of ‘vld1q_dup_u16’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:29.0065537Z      31 |   const float16x8_t vmin = vreinterpretq_f16_u16(vld1q_dup_u16(&params->scalar.min));
2025-03-21T20:20:29.0066277Z         |                                                                ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:29.0066813Z         |                                                                |
2025-03-21T20:20:29.0067344Z         |                                                                const xnn_float16 *
2025-03-21T20:20:29.0068487Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-avgpool/f16-avgpool-9p8x-minmax-neonfp16arith-c8.c:8:
2025-03-21T20:20:29.0070643Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16958:32: note: expected ‘const uint16_t *’ {aka ‘const short unsigned int *’} but argument is of type ‘const xnn_float16 *’
2025-03-21T20:20:29.0072010Z   16958 | vld1q_dup_u16 (const uint16_t* __a)
2025-03-21T20:20:29.0072484Z         |                ~~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:29.0074383Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-avgpool/f16-avgpool-9p8x-minmax-neonfp16arith-c8.c:32:64: warning: passing argument 1 of ‘vld1q_dup_u16’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:29.0076402Z      32 |   const float16x8_t vmax = vreinterpretq_f16_u16(vld1q_dup_u16(&params->scalar.max));
2025-03-21T20:20:29.0077143Z         |                                                                ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:29.0077670Z         |                                                                |
2025-03-21T20:20:29.0078213Z         |                                                                const xnn_float16 *
2025-03-21T20:20:29.0079840Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-avgpool/f16-avgpool-9p8x-minmax-neonfp16arith-c8.c:8:
2025-03-21T20:20:29.0081981Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16958:32: note: expected ‘const uint16_t *’ {aka ‘const short unsigned int *’} but argument is of type ‘const xnn_float16 *’
2025-03-21T20:20:29.0083512Z   16958 | vld1q_dup_u16 (const uint16_t* __a)
2025-03-21T20:20:29.0083987Z         |                ~~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:29.0086192Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-avgpool/f16-avgpool-9p8x-minmax-neonfp16arith-c8.c:300:25: warning: passing argument 1 of ‘vst1_lane_u32’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:29.0088204Z     300 |           vst1_lane_u32((uint16_t*) output, vreinterpret_u32_f16(vout_lo), 0); output = (xnn_float16*) output + 2;
2025-03-21T20:20:29.0089011Z         |                         ^~~~~~~~~~~~~~~~~~
2025-03-21T20:20:29.0089464Z         |                         |
2025-03-21T20:20:29.0089938Z         |                         uint16_t * {aka short unsigned int *}
2025-03-21T20:20:29.0091092Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-avgpool/f16-avgpool-9p8x-minmax-neonfp16arith-c8.c:8:
2025-03-21T20:20:29.0093129Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:26598:26: note: expected ‘uint32_t *’ {aka ‘unsigned int *’} but argument is of type ‘uint16_t *’ {aka ‘short unsigned int *’}
2025-03-21T20:20:29.0094438Z   26598 | vst1_lane_u32 (uint32_t *__a, uint32x2_t __b, const int __lane)
2025-03-21T20:20:29.0095027Z         |                ~~~~~~~~~~^~~
2025-03-21T20:20:29.0096187Z   [  3%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-avgpool/f16-avgpool-9x-minmax-neonfp16arith-c8.c.o
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2025-03-21T20:20:29.0105383Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-avgpool/f16-avgpool-9x-minmax-neonfp16arith-c8.c: In function ‘xnn_f16_avgpool_minmax_ukernel_9x__neonfp16arith_c8’:
2025-03-21T20:20:29.0108325Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-avgpool/f16-avgpool-9x-minmax-neonfp16arith-c8.c:30:66: warning: passing argument 1 of ‘vld1q_dup_u16’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:29.0110366Z      30 |   const float16x8_t vscale = vreinterpretq_f16_u16(vld1q_dup_u16(&params->scalar.scale));
2025-03-21T20:20:29.0111135Z         |                                                                  ^~~~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:29.0111689Z         |                                                                  |
2025-03-21T20:20:29.0112242Z         |                                                                  const xnn_float16 *
2025-03-21T20:20:29.0113770Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-avgpool/f16-avgpool-9x-minmax-neonfp16arith-c8.c:8:
2025-03-21T20:20:29.0115813Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16958:32: note: expected ‘const uint16_t *’ {aka ‘const short unsigned int *’} but argument is of type ‘const xnn_float16 *’
2025-03-21T20:20:29.0117006Z   16958 | vld1q_dup_u16 (const uint16_t* __a)
2025-03-21T20:20:29.0117480Z         |                ~~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:29.0119381Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-avgpool/f16-avgpool-9x-minmax-neonfp16arith-c8.c:31:64: warning: passing argument 1 of ‘vld1q_dup_u16’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:29.0121497Z      31 |   const float16x8_t vmin = vreinterpretq_f16_u16(vld1q_dup_u16(&params->scalar.min));
2025-03-21T20:20:29.0122441Z         |                                                                ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:29.0122993Z         |                                                                |
2025-03-21T20:20:29.0123557Z         |                                                                const xnn_float16 *
2025-03-21T20:20:29.0124696Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-avgpool/f16-avgpool-9x-minmax-neonfp16arith-c8.c:8:
2025-03-21T20:20:29.0127310Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16958:32: note: expected ‘const uint16_t *’ {aka ‘const short unsigned int *’} but argument is of type ‘const xnn_float16 *’
2025-03-21T20:20:29.0128504Z   16958 | vld1q_dup_u16 (const uint16_t* __a)
2025-03-21T20:20:29.0128980Z         |                ~~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:29.0131381Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-avgpool/f16-avgpool-9x-minmax-neonfp16arith-c8.c:32:64: warning: passing argument 1 of ‘vld1q_dup_u16’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:29.4116750Z      32 |   const float16x8_t vmax = vreinterpretq_f16_u16(vld1q_dup_u16(&params->scalar.max));
2025-03-21T20:20:29.4117528Z         |                                                                ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:29.4118056Z         |                                                                |
2025-03-21T20:20:29.4118587Z         |                                                                const xnn_float16 *
2025-03-21T20:20:29.4119728Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-avgpool/f16-avgpool-9x-minmax-neonfp16arith-c8.c:8:
2025-03-21T20:20:29.4121920Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16958:32: note: expected ‘const uint16_t *’ {aka ‘const short unsigned int *’} but argument is of type ‘const xnn_float16 *’
2025-03-21T20:20:29.4123944Z   16958 | vld1q_dup_u16 (const uint16_t* __a)
2025-03-21T20:20:29.4124424Z         |                ~~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:29.4126450Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-avgpool/f16-avgpool-9x-minmax-neonfp16arith-c8.c:165:23: warning: passing argument 1 of ‘vst1_lane_u32’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:29.4128409Z     165 |         vst1_lane_u32((uint16_t*) output, vreinterpret_u32_f16(vout_lo), 0); output = (xnn_float16*) output + 2;
2025-03-21T20:20:29.4129201Z         |                       ^~~~~~~~~~~~~~~~~~
2025-03-21T20:20:29.4129646Z         |                       |
2025-03-21T20:20:29.4130096Z         |                       uint16_t * {aka short unsigned int *}
2025-03-21T20:20:29.4131219Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-avgpool/f16-avgpool-9x-minmax-neonfp16arith-c8.c:8:
2025-03-21T20:20:29.4133243Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:26598:26: note: expected ‘uint32_t *’ {aka ‘unsigned int *’} but argument is of type ‘uint16_t *’ {aka ‘short unsigned int *’}
2025-03-21T20:20:29.4134546Z   26598 | vst1_lane_u32 (uint32_t *__a, uint32x2_t __b, const int __lane)
2025-03-21T20:20:29.4135131Z         |                ~~~~~~~~~~^~~
2025-03-21T20:20:29.4136297Z   [  4%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-dwconv/gen/f16-dwconv-25p8c-minmax-neonfp16arith-acc2.c.o
2025-03-21T20:20:29.4139138Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-conv-hwc2chw/f16-conv-hwc2chw-3x3s2p1c3x4-neonfp16arith-2x2.c: In function ‘xnn_f16_conv_hwc2chw_ukernel_3x3s2p1c3x4__neonfp16arith_2x2’:
2025-03-21T20:20:29.4146945Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-conv-hwc2chw/f16-conv-hwc2chw-3x3s2p1c3x4-neonfp16arith-2x2.c:53:62: warning: passing argument 1 of ‘vld1_dup_u16’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:29.4149325Z      53 |   const float16x4_t vmax = vreinterpret_f16_u16(vld1_dup_u16(&params->scalar.max));
2025-03-21T20:20:29.4150272Z         |                                                              ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:29.4150819Z         |                                                              |
2025-03-21T20:20:29.4151353Z         |                                                              const xnn_float16 *
2025-03-21T20:20:29.4152573Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-conv-hwc2chw/f16-conv-hwc2chw-3x3s2p1c3x4-neonfp16arith-2x2.c:8:
2025-03-21T20:20:29.4154668Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16858:31: note: expected ‘const uint16_t *’ {aka ‘const short unsigned int *’} but argument is of type ‘const xnn_float16 *’
2025-03-21T20:20:29.4155836Z   16858 | vld1_dup_u16 (const uint16_t* __a)
2025-03-21T20:20:29.4156336Z         |               ~~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:29.4158278Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-conv-hwc2chw/f16-conv-hwc2chw-3x3s2p1c3x4-neonfp16arith-2x2.c:54:62: warning: passing argument 1 of ‘vld1_dup_u16’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:29.4160185Z      54 |   const float16x4_t vmin = vreinterpret_f16_u16(vld1_dup_u16(&params->scalar.min));
2025-03-21T20:20:29.4160900Z         |                                                              ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:29.4161416Z         |                                                              |
2025-03-21T20:20:29.4162016Z         |                                                              const xnn_float16 *
2025-03-21T20:20:29.4163215Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-conv-hwc2chw/f16-conv-hwc2chw-3x3s2p1c3x4-neonfp16arith-2x2.c:8:
2025-03-21T20:20:29.4165288Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16858:31: note: expected ‘const uint16_t *’ {aka ‘const short unsigned int *’} but argument is of type ‘const xnn_float16 *’
2025-03-21T20:20:29.4166661Z   16858 | vld1_dup_u16 (const uint16_t* __a)
2025-03-21T20:20:29.4167123Z         |               ~~~~~~~~~~~~~~~~^~~
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2025-03-21T20:20:31.4294698Z   [ 17%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/operators.dir/src/operators/resize-bilinear-nchw.c.o
2025-03-21T20:20:31.4297007Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-maxpool/f16-maxpool-9p8x-minmax-neonfp16arith-c8.c: In function ‘xnn_f16_maxpool_minmax_ukernel_9p8x__neonfp16arith_c8’:
2025-03-21T20:20:31.4299798Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-maxpool/f16-maxpool-9p8x-minmax-neonfp16arith-c8.c:28:71: warning: passing argument 1 of ‘vld1q_dup_u16’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:31.4301847Z      28 |   const float16x8_t voutput_min = vreinterpretq_f16_u16(vld1q_dup_u16(&params->scalar.min));
2025-03-21T20:20:31.4302629Z         |                                                                       ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:31.4303218Z         |                                                                       |
2025-03-21T20:20:31.4303770Z         |                                                                       const xnn_float16 *
2025-03-21T20:20:31.4304921Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-maxpool/f16-maxpool-9p8x-minmax-neonfp16arith-c8.c:8:
2025-03-21T20:20:31.5441729Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16958:32: note: expected ‘const uint16_t *’ {aka ‘const short unsigned int *’} but argument is of type ‘const xnn_float16 *’
2025-03-21T20:20:31.5443523Z   16958 | vld1q_dup_u16 (const uint16_t* __a)
2025-03-21T20:20:31.5444014Z         |                ~~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:31.5446425Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-maxpool/f16-maxpool-9p8x-minmax-neonfp16arith-c8.c:29:71: warning: passing argument 1 of ‘vld1q_dup_u16’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:31.5449389Z      29 |   const float16x8_t voutput_max = vreinterpretq_f16_u16(vld1q_dup_u16(&params->scalar.max));
2025-03-21T20:20:31.5450785Z         |                                                                       ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:31.5451368Z         |                                                                       |
2025-03-21T20:20:31.5452204Z         |                                                                       const xnn_float16 *
2025-03-21T20:20:31.5453363Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-maxpool/f16-maxpool-9p8x-minmax-neonfp16arith-c8.c:8:
2025-03-21T20:20:31.5455938Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16958:32: note: expected ‘const uint16_t *’ {aka ‘const short unsigned int *’} but argument is of type ‘const xnn_float16 *’
2025-03-21T20:20:31.5457132Z   16958 | vld1q_dup_u16 (const uint16_t* __a)
2025-03-21T20:20:31.5457634Z         |                ~~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:31.5459059Z   [ 17%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-pavgpool/f16-pavgpool-9x-minmax-neonfp16arith-c8.c.o
2025-03-21T20:20:31.5460759Z   [ 17%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/operators.dir/src/operators/resize-bilinear-nhwc.c.o
2025-03-21T20:20:31.5462142Z   [ 17%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/operators.dir/src/operators/rope-nthc.c.o
2025-03-21T20:20:31.5463625Z   [ 17%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/operators.dir/src/operators/scaled-dot-product-attention-nhtc.c.o
2025-03-21T20:20:31.5465341Z   [ 17%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-qs8-vcvt/gen/f16-qs8-vcvt-neonfp16arith-u32.c.o
2025-03-21T20:20:31.5467610Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-pavgpool/f16-pavgpool-9x-minmax-neonfp16arith-c8.c: In function ‘xnn_f16_pavgpool_minmax_ukernel_9x__neonfp16arith_c8’:
2025-03-21T20:20:31.5470421Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-pavgpool/f16-pavgpool-9x-minmax-neonfp16arith-c8.c:31:71: warning: passing argument 1 of ‘vld1q_dup_u16’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:31.5472319Z      31 |   const float16x8_t voutput_min = vreinterpretq_f16_u16(vld1q_dup_u16(&params->scalar.min));
2025-03-21T20:20:31.5473089Z         |                                                                       ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:31.5473622Z         |                                                                       |
2025-03-21T20:20:31.5474154Z         |                                                                       const xnn_float16 *
2025-03-21T20:20:31.5475304Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-pavgpool/f16-pavgpool-9x-minmax-neonfp16arith-c8.c:8:
2025-03-21T20:20:31.5477332Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16958:32: note: expected ‘const uint16_t *’ {aka ‘const short unsigned int *’} but argument is of type ‘const xnn_float16 *’
2025-03-21T20:20:31.5478529Z   16958 | vld1q_dup_u16 (const uint16_t* __a)
2025-03-21T20:20:31.5479003Z         |                ~~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:31.5480854Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-pavgpool/f16-pavgpool-9x-minmax-neonfp16arith-c8.c:32:71: warning: passing argument 1 of ‘vld1q_dup_u16’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:31.5482743Z      32 |   const float16x8_t voutput_max = vreinterpretq_f16_u16(vld1q_dup_u16(&params->scalar.max));
2025-03-21T20:20:31.5483510Z         |                                                                       ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:31.5484041Z         |                                                                       |
2025-03-21T20:20:31.5484828Z         |                                                                       const xnn_float16 *
2025-03-21T20:20:31.5486223Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-pavgpool/f16-pavgpool-9x-minmax-neonfp16arith-c8.c:8:
2025-03-21T20:20:31.5488284Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16958:32: note: expected ‘const uint16_t *’ {aka ‘const short unsigned int *’} but argument is of type ‘const xnn_float16 *’
2025-03-21T20:20:31.5489459Z   16958 | vld1q_dup_u16 (const uint16_t* __a)
2025-03-21T20:20:31.5489931Z         |                ~~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:31.5491775Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-pavgpool/f16-pavgpool-9x-minmax-neonfp16arith-c8.c:106:73: warning: passing argument 1 of ‘vld1q_dup_u16’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:31.5497458Z     106 |     const float16x8_t vmultiplier = vreinterpretq_f16_u16(vld1q_dup_u16(multiplier)); multiplier = (const xnn_float16*) multiplier + 1;
2025-03-21T20:20:31.5498513Z         |                                                                         ^~~~~~~~~~
2025-03-21T20:20:31.5499067Z         |                                                                         |
2025-03-21T20:20:31.5499622Z         |                                                                         const xnn_float16 *
2025-03-21T20:20:31.5500790Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-pavgpool/f16-pavgpool-9x-minmax-neonfp16arith-c8.c:8:
2025-03-21T20:20:31.5502949Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16958:32: note: expected ‘const uint16_t *’ {aka ‘const short unsigned int *’} but argument is of type ‘const xnn_float16 *’
2025-03-21T20:20:31.5504217Z   16958 | vld1q_dup_u16 (const uint16_t* __a)
2025-03-21T20:20:31.5504723Z         |                ~~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:31.5505827Z   [ 17%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-qs8-vcvt/gen/f16-qs8-vcvt-scalar-imagic-u4.c.o
2025-03-21T20:20:31.5508160Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-pavgpool/f16-pavgpool-9p8x-minmax-neonfp16arith-c8.c: In function ‘xnn_f16_pavgpool_minmax_ukernel_9p8x__neonfp16arith_c8’:
2025-03-21T20:20:31.5511076Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-pavgpool/f16-pavgpool-9p8x-minmax-neonfp16arith-c8.c:31:71: warning: passing argument 1 of ‘vld1q_dup_u16’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:31.5512995Z      31 |   const float16x8_t voutput_min = vreinterpretq_f16_u16(vld1q_dup_u16(&params->scalar.min));
2025-03-21T20:20:31.5513767Z         |                                                                       ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:31.5514299Z         |                                                                       |
2025-03-21T20:20:31.5514831Z         |                                                                       const xnn_float16 *
2025-03-21T20:20:31.5516009Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-pavgpool/f16-pavgpool-9p8x-minmax-neonfp16arith-c8.c:8:
2025-03-21T20:20:31.5518048Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16958:32: note: expected ‘const uint16_t *’ {aka ‘const short unsigned int *’} but argument is of type ‘const xnn_float16 *’
2025-03-21T20:20:31.5519227Z   16958 | vld1q_dup_u16 (const uint16_t* __a)
2025-03-21T20:20:31.5519688Z         |                ~~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:31.5521553Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-pavgpool/f16-pavgpool-9p8x-minmax-neonfp16arith-c8.c:32:71: warning: passing argument 1 of ‘vld1q_dup_u16’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:31.5523455Z      32 |   const float16x8_t voutput_max = vreinterpretq_f16_u16(vld1q_dup_u16(&params->scalar.max));
2025-03-21T20:20:31.5524667Z         |                                                                       ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:31.5525208Z         |                                                                       |
2025-03-21T20:20:31.5526017Z         |                                                                       const xnn_float16 *
2025-03-21T20:20:31.5527220Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-pavgpool/f16-pavgpool-9p8x-minmax-neonfp16arith-c8.c:8:
2025-03-21T20:20:31.5529271Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16958:32: note: expected ‘const uint16_t *’ {aka ‘const short unsigned int *’} but argument is of type ‘const xnn_float16 *’
2025-03-21T20:20:31.5530459Z   16958 | vld1q_dup_u16 (const uint16_t* __a)
2025-03-21T20:20:31.5530922Z         |                ~~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:31.5532799Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-pavgpool/f16-pavgpool-9p8x-minmax-neonfp16arith-c8.c:239:75: warning: passing argument 1 of ‘vld1q_dup_u16’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:32.1701472Z     239 |       const float16x8_t vmultiplier = vreinterpretq_f16_u16(vld1q_dup_u16(multiplier)); multiplier = (const xnn_float16*) multiplier + 1;
2025-03-21T20:20:32.1702567Z         |                                                                           ^~~~~~~~~~
2025-03-21T20:20:32.1703109Z         |                                                                           |
2025-03-21T20:20:32.1703664Z         |                                                                           const xnn_float16 *
2025-03-21T20:20:32.1704854Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-pavgpool/f16-pavgpool-9p8x-minmax-neonfp16arith-c8.c:8:
2025-03-21T20:20:32.1707089Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16958:32: note: expected ‘const uint16_t *’ {aka ‘const short unsigned int *’} but argument is of type ‘const xnn_float16 *’
2025-03-21T20:20:32.1708305Z   16958 | vld1q_dup_u16 (const uint16_t* __a)
2025-03-21T20:20:32.1708782Z         |                ~~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:32.1709622Z   [ 97%] Building CXX object CMakeFiles/flatc.dir/grpc/src/compiler/ts_generator.cc.o
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2025-03-21T20:20:32.1713274Z   [ 17%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-rminmax/gen/f16-rmax-neonfp16arith-u32-acc4.c.o
2025-03-21T20:20:32.1714810Z   [ 17%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/operators.dir/src/operators/slice-nd.c.o
2025-03-21T20:20:32.1716300Z   [ 17%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-rminmax/gen/f16-rmax-scalar-u2-acc2.c.o
2025-03-21T20:20:32.1718412Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-qs8-vcvt/gen/f16-qs8-vcvt-neonfp16arith-u32.c: In function ‘xnn_f16_qs8_vcvt_ukernel__neonfp16arith_u32’:
2025-03-21T20:20:32.1721289Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-qs8-vcvt/gen/f16-qs8-vcvt-neonfp16arith-u32.c:32:66: warning: passing argument 1 of ‘vld1q_dup_u16’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:32.1723174Z      32 |   const float16x8_t vscale = vreinterpretq_f16_u16(vld1q_dup_u16(&params->scalar.scale));
2025-03-21T20:20:32.1723949Z         |                                                                  ^~~~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:32.1724477Z         |                                                                  |
2025-03-21T20:20:32.1725014Z         |                                                                  const xnn_float16 *
2025-03-21T20:20:32.1726214Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-qs8-vcvt/gen/f16-qs8-vcvt-neonfp16arith-u32.c:12:
2025-03-21T20:20:32.1729410Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16958:32: note: expected ‘const uint16_t *’ {aka ‘const short unsigned int *’} but argument is of type ‘const xnn_float16 *’
2025-03-21T20:20:32.1730657Z   16958 | vld1q_dup_u16 (const uint16_t* __a)
2025-03-21T20:20:32.1731133Z         |                ~~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:32.1732275Z   [ 17%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f16-rminmax/gen/f16-rminmax-neonfp16arith-u32-acc4.c.o
2025-03-21T20:20:32.1733848Z   [ 17%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/operators.dir/src/operators/softmax-nc.c.o
2025-03-21T20:20:32.1736168Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-neonfp16arith-rr2-p2-u32.c: In function ‘xnn_f16_raddstoreexpminusmax_ukernel__neonfp16arith_rr2_p2_u32’:
2025-03-21T20:20:32.1739477Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-neonfp16arith-rr2-p2-u32.c:189:17: warning: passing argument 1 of ‘vst1_lane_u16’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:32.1741565Z     189 |   vst1_lane_u16(sum, vreinterpret_u16_f16(vacc_lo), 0);
2025-03-21T20:20:32.1742105Z         |                 ^~~
2025-03-21T20:20:32.1742495Z         |                 |
2025-03-21T20:20:32.1742892Z         |                 xnn_float16 *
2025-03-21T20:20:32.1744175Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/f16-raddstoreexpminusmax/gen/f16-raddstoreexpminusmax-neonfp16arith-rr2-p2-u32.c:12:
2025-03-21T20:20:32.1746299Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:26591:26: note: expected ‘uint16_t *’ {aka ‘short unsigned int *’} but argument is of type ‘xnn_float16 *’
2025-03-21T20:20:32.1747494Z   26591 | vst1_lane_u16 (uint16_t *__a, uint16x4_t __b, const int __lane)
2025-03-21T20:20:32.1748090Z         |                ~~~~~~~~~~^~~
2025-03-21T20:20:32.1748968Z   [ 17%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/operators.dir/src/operators/transpose-nd.c.o
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2025-03-21T20:20:37.5871010Z   [ 45%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_le.cpp.o
2025-03-21T20:20:37.5872421Z   [ 45%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-pavgpool/f32-pavgpool-9p8x-minmax-neon-c4.c.o
2025-03-21T20:20:37.5873889Z   [ 45%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_cosh.cpp.o
2025-03-21T20:20:37.5875536Z   [ 45%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-pavgpool/f32-pavgpool-9p8x-minmax-scalar-c1.c.o
2025-03-21T20:20:37.5877289Z   [ 45%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_linear.cpp.o
2025-03-21T20:20:37.5878565Z   [ 45%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_cumsum.cpp.o
2025-03-21T20:20:37.5880157Z   [ 45%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-pavgpool/f32-pavgpool-9x-minmax-neon-c4.c.o
2025-03-21T20:20:37.5900386Z   In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:18,
2025-03-21T20:20:37.5901617Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec.h:7,
2025-03-21T20:20:37.5902701Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/Gelu.h:3,
2025-03-21T20:20:37.5903653Z                    from /pytorch/executorch/kernels/optimized/cpu/op_gelu.cpp:16:
2025-03-21T20:20:37.5906390Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256_qint.h: In function ‘std::pair<at::vec::CPU_CAPABILITY::Vectorized<float>, at::vec::CPU_CAPABILITY::Vectorized<float> > at::vec::CPU_CAPABILITY::convert_int8_to_float(at::vec::CPU_CAPABILITY::Vectorized<signed char>)’:
2025-03-21T20:20:37.5910224Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256_qint.h:1294:61: note: parameter passing for argument of type ‘std::pair<at::vec::CPU_CAPABILITY::Vectorized<float>, at::vec::CPU_CAPABILITY::Vectorized<float> >’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:20:38.1148685Z    1294 | inline convert_int8_to_float(at::vec::Vectorized<int8_t> src) {
2025-03-21T20:20:38.1149376Z         |                                                             ^
2025-03-21T20:20:38.1150257Z   [ 45%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_log_softmax.cpp.o
2025-03-21T20:20:38.1151478Z   [ 45%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_detach_copy.cpp.o
2025-03-21T20:20:38.1153096Z   [ 45%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_mm.cpp.o
2025-03-21T20:20:38.1154876Z   [ 45%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-pavgpool/f32-pavgpool-9x-minmax-scalar-c1.c.o
2025-03-21T20:20:38.1156698Z   [ 45%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_mul.cpp.o
2025-03-21T20:20:38.1158126Z   [ 45%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-qc4w-gemm/gen/f32-qc4w-gemm-1x4-minmax-scalar.c.o
2025-03-21T20:20:38.1159660Z   [ 45%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_diagonal_copy.cpp.o
2025-03-21T20:20:38.1161396Z   [ 45%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-qc4w-gemm/gen/f32-qc4w-gemm-1x8-minmax-aarch64-neonfma-lane-ld128.c.o
2025-03-21T20:20:38.1163196Z   In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:18,
2025-03-21T20:20:38.1164418Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec.h:7,
2025-03-21T20:20:38.1165645Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/functional_base.h:6,
2025-03-21T20:20:38.1166930Z                    from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/functional.h:3,
2025-03-21T20:20:38.1167951Z                    from /pytorch/executorch/kernels/optimized/cpu/op_log_softmax.cpp:17:
2025-03-21T20:20:38.1170721Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256_qint.h: In function ‘std::pair<at::vec::CPU_CAPABILITY::Vectorized<float>, at::vec::CPU_CAPABILITY::Vectorized<float> > at::vec::CPU_CAPABILITY::convert_int8_to_float(at::vec::CPU_CAPABILITY::Vectorized<signed char>)’:
2025-03-21T20:20:38.1174505Z   /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256_qint.h:1294:61: note: parameter passing for argument of type ‘std::pair<at::vec::CPU_CAPABILITY::Vectorized<float>, at::vec::CPU_CAPABILITY::Vectorized<float> >’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:20:38.1176680Z    1294 | inline convert_int8_to_float(at::vec::Vectorized<int8_t> src) {
2025-03-21T20:20:38.1177309Z         |                                                             ^
2025-03-21T20:20:38.1178400Z   [ 45%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_native_layer_norm.cpp.o
2025-03-21T20:20:38.1179538Z   [ 45%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_neg.cpp.o
2025-03-21T20:20:38.1180636Z   [ 45%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_div.cpp.o
2025-03-21T20:20:38.1182172Z   [ 45%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-qc4w-gemm/gen/f32-qc4w-gemm-1x8-minmax-neon-lane-ld64.c.o
2025-03-21T20:20:38.1184069Z   [ 45%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-qc4w-gemm/gen/f32-qc4w-gemm-4x4-minmax-scalar.c.o
2025-03-21T20:20:38.1186074Z   [ 45%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/f32-qc4w-gemm/gen/f32-qc4w-gemm-4x8-minmax-aarch64-neonfma-lane-ld128.c.o
2025-03-21T20:20:38.1187710Z   In file included from /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:13:
2025-03-21T20:20:38.1191320Z   /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h: In instantiation of ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMoments(const T*, int64_t, int64_t) [with T = double; typename executorch::utils::ComputeDTypeTraits<scalar_t>::type = double; int64_t = long int]’:
2025-03-21T20:20:38.1198059Z   /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:83:50:   required from ‘void torch::executor::native::{anonymous}::layer_norm(const Tensor&, executorch::runtime::IntArrayRef, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, CTYPE, torch::executor::native::Tensor&, torch::executor::native::Tensor&, torch::executor::native::Tensor&) [with CTYPE = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; executorch::runtime::IntArrayRef = executorch::runtime::ArrayRef<long int>]’
2025-03-21T20:20:38.1201926Z   /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:158:3:   required from here
2025-03-21T20:20:38.1204092Z   /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:170:1: note: parameter passing for argument of type ‘std::pair<double, double>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:20:38.1205676Z     170 | RowwiseMoments(const T* X, int64_t N, int64_t ddof = 0) {
2025-03-21T20:20:38.1206379Z         | ^~~~~~~~~~~~~~
2025-03-21T20:20:38.1209500Z   /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h: In instantiation of ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMoments(const T*, int64_t, int64_t) [with T = float; typename executorch::utils::ComputeDTypeTraits<scalar_t>::type = float; int64_t = long int]’:
2025-03-21T20:20:38.1215578Z   /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:83:50:   required from ‘void torch::executor::native::{anonymous}::layer_norm(const Tensor&, executorch::runtime::IntArrayRef, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, CTYPE, torch::executor::native::Tensor&, torch::executor::native::Tensor&, torch::executor::native::Tensor&) [with CTYPE = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; executorch::runtime::IntArrayRef = executorch::runtime::ArrayRef<long int>]’
2025-03-21T20:20:38.1219408Z   /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:158:3:   required from here
2025-03-21T20:20:38.1221669Z   /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:170:1: note: parameter passing for argument of type ‘std::pair<float, float>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:20:38.1225656Z   /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h: In instantiation of ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMomentsImpl(const T*, int64_t, int64_t) [with T = double; long int kMaxDepth = 4; typename executorch::utils::ComputeDTypeTraits<scalar_t>::type = double; int64_t = long int]’:
2025-03-21T20:20:38.1231029Z   /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:177:36:   required from ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMoments(const T*, int64_t, int64_t) [with T = double; typename executorch::utils::ComputeDTypeTraits<scalar_t>::type = double; int64_t = long int]’
2025-03-21T20:20:38.1237119Z   /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:83:50:   required from ‘void torch::executor::native::{anonymous}::layer_norm(const Tensor&, executorch::runtime::IntArrayRef, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, CTYPE, torch::executor::native::Tensor&, torch::executor::native::Tensor&, torch::executor::native::Tensor&) [with CTYPE = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; executorch::runtime::IntArrayRef = executorch::runtime::ArrayRef<long int>]’
2025-03-21T20:20:38.1241424Z   /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:158:3:   required from here
2025-03-21T20:20:38.1243879Z   /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:92:1: note: parameter passing for argument of type ‘std::pair<double, double>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:20:38.1245550Z      92 | RowwiseMomentsImpl(const T* X, int64_t N, int64_t ddof = 0) {
2025-03-21T20:20:38.1246200Z         | ^~~~~~~~~~~~~~~~~~
2025-03-21T20:20:38.1249407Z   /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h: In instantiation of ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMomentsImpl(const T*, int64_t, int64_t) [with T = float; long int kMaxDepth = 4; typename executorch::utils::ComputeDTypeTraits<scalar_t>::type = float; int64_t = long int]’:
2025-03-21T20:20:38.1254747Z   /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:177:36:   required from ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMoments(const T*, int64_t, int64_t) [with T = float; typename executorch::utils::ComputeDTypeTraits<scalar_t>::type = float; int64_t = long int]’
2025-03-21T20:20:38.1260724Z   /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:83:50:   required from ‘void torch::executor::native::{anonymous}::layer_norm(const Tensor&, executorch::runtime::IntArrayRef, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, CTYPE, torch::executor::native::Tensor&, torch::executor::native::Tensor&, torch::executor::native::Tensor&) [with CTYPE = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; executorch::runtime::IntArrayRef = executorch::runtime::ArrayRef<long int>]’
2025-03-21T20:20:38.1264801Z   /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:158:3:   required from here
2025-03-21T20:20:38.1267266Z   /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:92:1: note: parameter passing for argument of type ‘std::pair<float, float>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:20:38.1268866Z   In file included from /usr/include/c++/11/utility:70,
2025-03-21T20:20:38.1269533Z                    from /usr/include/c++/11/array:38,
2025-03-21T20:20:38.1270189Z                    from /pytorch/executorch/../executorch/runtime/core/array_ref.h:29,
2025-03-21T20:20:38.1271054Z                    from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:34,
2025-03-21T20:20:38.1272129Z                    from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-03-21T20:20:38.1273081Z                    from /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:9:
2025-03-21T20:20:38.1277214Z   /usr/include/c++/11/bits/stl_pair.h: In instantiation of ‘constexpr std::pair<typename std::__strip_reference_wrapper<typename std::decay<_Tp>::type>::__type, typename std::__strip_reference_wrapper<typename std::decay<_Tp2>::type>::__type> std::make_pair(_T1&&, _T2&&) [with _T1 = double&; _T2 = double; typename std::__strip_reference_wrapper<typename std::decay<_Tp2>::type>::__type = double; typename std::decay<_Tp2>::type = double; typename std::__strip_reference_wrapper<typename std::decay<_Tp>::type>::__type = double; typename std::decay<_Tp>::type = double]’:
2025-03-21T20:20:38.1283944Z   /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:165:24:   required from ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMomentsImpl(const T*, int64_t, int64_t) [with T = double; long int kMaxDepth = 4; typename executorch::utils::ComputeDTypeTraits<scalar_t>::type = double; int64_t = long int]’
2025-03-21T20:20:38.1290025Z   /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:177:36:   required from ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMoments(const T*, int64_t, int64_t) [with T = double; typename executorch::utils::ComputeDTypeTraits<scalar_t>::type = double; int64_t = long int]’
2025-03-21T20:20:38.1296099Z   /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:83:50:   required from ‘void torch::executor::native::{anonymous}::layer_norm(const Tensor&, executorch::runtime::IntArrayRef, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, CTYPE, torch::executor::native::Tensor&, torch::executor::native::Tensor&, torch::executor::native::Tensor&) [with CTYPE = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; executorch::runtime::IntArrayRef = executorch::runtime::ArrayRef<long int>]’
2025-03-21T20:20:38.1299944Z   /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:158:3:   required from here
2025-03-21T20:20:38.1301888Z   /usr/include/c++/11/bits/stl_pair.h:567:5: note: parameter passing for argument of type ‘std::pair<double, double>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:20:38.1303095Z     567 |     make_pair(_T1&& __x, _T2&& __y)
2025-03-21T20:20:38.1303538Z         |     ^~~~~~~~~
2025-03-21T20:20:38.1307020Z   /usr/include/c++/11/bits/stl_pair.h: In instantiation of ‘constexpr std::pair<typename std::__strip_reference_wrapper<typename std::decay<_Tp>::type>::__type, typename std::__strip_reference_wrapper<typename std::decay<_Tp2>::type>::__type> std::make_pair(_T1&&, _T2&&) [with _T1 = float&; _T2 = float; typename std::__strip_reference_wrapper<typename std::decay<_Tp2>::type>::__type = float; typename std::decay<_Tp2>::type = float; typename std::__strip_reference_wrapper<typename std::decay<_Tp>::type>::__type = float; typename std::decay<_Tp>::type = float]’:
2025-03-21T20:20:38.1312810Z   /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:165:24:   required from ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMomentsImpl(const T*, int64_t, int64_t) [with T = float; long int kMaxDepth = 4; typename executorch::utils::ComputeDTypeTraits<scalar_t>::type = float; int64_t = long int]’
2025-03-21T20:20:38.1317971Z   /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:177:36:   required from ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMoments(const T*, int64_t, int64_t) [with T = float; typename executorch::utils::ComputeDTypeTraits<scalar_t>::type = float; int64_t = long int]’
2025-03-21T20:20:38.1324116Z   /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:83:50:   required from ‘void torch::executor::native::{anonymous}::layer_norm(const Tensor&, executorch::runtime::IntArrayRef, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, CTYPE, torch::executor::native::Tensor&, torch::executor::native::Tensor&, torch::executor::native::Tensor&) [with CTYPE = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; executorch::runtime::IntArrayRef = executorch::runtime::ArrayRef<long int>]’
2025-03-21T20:20:38.1328032Z   /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:158:3:   required from here
2025-03-21T20:20:38.1330053Z   /usr/include/c++/11/bits/stl_pair.h:567:5: note: parameter passing for argument of type ‘std::pair<float, float>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:20:38.1334445Z   /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp: In function ‘void torch::executor::native::{anonymous}::layer_norm(const Tensor&, executorch::runtime::IntArrayRef, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, CTYPE, torch::executor::native::Tensor&, torch::executor::native::Tensor&, torch::executor::native::Tensor&) [with CTYPE = double]’:
2025-03-21T20:20:38.1338306Z   /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:83:50: note: parameter passing for argument of type ‘std::pair<double, double>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:20:38.1340305Z      83 |     std::tie(mean_val, rstd_val) = RowwiseMoments(src_ptr, N);
2025-03-21T20:20:38.1340906Z         |                                    ~~~~~~~~~~~~~~^~~~~~~~~~~~
2025-03-21T20:20:38.8169390Z   /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp: In function ‘void torch::executor::native::{anonymous}::layer_norm(const Tensor&, executorch::runtime::IntArrayRef, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, CTYPE, torch::executor::native::Tensor&, torch::executor::native::Tensor&, torch::executor::native::Tensor&) [with CTYPE = float]’:
2025-03-21T20:20:38.8173227Z   /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:83:50: note: parameter passing for argument of type ‘std::pair<float, float>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:20:38.8174841Z   In file included from /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:13:
2025-03-21T20:20:38.8177653Z   /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h: In function ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMomentsImpl(const T*, int64_t, int64_t) [with T = double; long int kMaxDepth = 4]’:
2025-03-21T20:20:38.8181009Z   /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:92:1: note: parameter passing for argument of type ‘std::pair<double, double>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:20:38.8182526Z      92 | RowwiseMomentsImpl(const T* X, int64_t N, int64_t ddof = 0) {
2025-03-21T20:20:38.8183109Z         | ^~~~~~~~~~~~~~~~~~
2025-03-21T20:20:38.8187076Z   /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp: In function ‘std::tuple<executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&, executorch::runtime::etensor::Tensor&> torch::executor::native::opt_native_layer_norm_out(executorch::runtime::KernelRuntimeContext&, const Tensor&, executorch::runtime::IntArrayRef, executorch::aten::optional<executorch::runtime::etensor::Tensor>&, executorch::aten::optional<executorch::runtime::etensor::Tensor>&, double, torch::executor::native::Tensor&, torch::executor::native::Tensor&, torch::executor::native::Tensor&)’:
2025-03-21T20:20:38.8191698Z   /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:114:39: note: parameter passing for argument of type ‘std::pair<float, float>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:20:38.8193163Z     114 | std::tuple<Tensor&, Tensor&, Tensor&> opt_native_layer_norm_out(
2025-03-21T20:20:38.8193783Z         |                                       ^~~~~~~~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:38.8195440Z   /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:114:39: note: parameter passing for argument of type ‘std::pair<double, double>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:20:38.8197938Z   /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:114:39: note: parameter passing for argument of type ‘std::pair<float, float>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:20:38.8200409Z   /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:83:50: note: parameter passing for argument of type ‘std::pair<double, double>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:20:38.8202392Z      83 |     std::tie(mean_val, rstd_val) = RowwiseMoments(src_ptr, N);
2025-03-21T20:20:38.8203194Z         |                                    ~~~~~~~~~~~~~~^~~~~~~~~~~~
2025-03-21T20:20:38.8204897Z   /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:83:50: note: parameter passing for argument of type ‘std::pair<float, float>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:20:38.8206454Z      83 |     std::tie(mean_val, rstd_val) = RowwiseMoments(src_ptr, N);
2025-03-21T20:20:38.8207044Z         |                                    ~~~~~~~~~~~~~~^~~~~~~~~~~~
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2025-03-21T20:20:48.4188795Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-neon-u32.c:29:53: warning: passing argument 1 of ‘vld1q_dup_s16’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:48.4190516Z      29 |   const int16x8_t vinput_zero_point = vld1q_dup_s16(&params->scalar.input_zero_point);
2025-03-21T20:20:48.4191274Z         |                                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:48.4191801Z         |                                                     |
2025-03-21T20:20:48.4192352Z         |                                                     const int32_t * {aka const int *}
2025-03-21T20:20:48.4193384Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-neon-u32.c:12:
2025-03-21T20:20:48.4195292Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16930:31: note: expected ‘const int16_t *’ {aka ‘const short int *’} but argument is of type ‘const int32_t *’ {aka ‘const int *’}
2025-03-21T20:20:48.4196501Z   16930 | vld1q_dup_s16 (const int16_t* __a)
2025-03-21T20:20:48.4196971Z         |                ~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:48.4198680Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-neon-u32.c:32:54: warning: passing argument 1 of ‘vld1q_dup_s16’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:48.4200417Z      32 |   const int16x8_t voutput_zero_point = vld1q_dup_s16(&params->scalar.output_zero_point);
2025-03-21T20:20:48.4201176Z         |                                                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:48.4201687Z         |                                                      |
2025-03-21T20:20:48.4202221Z         |                                                      const int32_t * {aka const int *}
2025-03-21T20:20:48.4203276Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/qs8-vlrelu/gen/qs8-vlrelu-neon-u32.c:12:
2025-03-21T20:20:49.2192031Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16930:31: note: expected ‘const int16_t *’ {aka ‘const short int *’} but argument is of type ‘const int32_t *’ {aka ‘const int *’}
2025-03-21T20:20:49.2193295Z   16930 | vld1q_dup_s16 (const int16_t* __a)
2025-03-21T20:20:49.2193756Z         |                ~~~~~~~~~~~~~~~^~~
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2025-03-21T20:20:49.6528323Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-neon-u32.c: In function ‘xnn_qu8_vlrelu_ukernel__neon_u32’:
2025-03-21T20:20:49.6530720Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-neon-u32.c:29:54: warning: passing argument 1 of ‘vld1q_dup_u16’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:49.6532443Z      29 |   const uint16x8_t vinput_zero_point = vld1q_dup_u16(&params->scalar.input_zero_point);
2025-03-21T20:20:49.6533189Z         |                                                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:49.6533724Z         |                                                      |
2025-03-21T20:20:49.6534255Z         |                                                      const int32_t * {aka const int *}
2025-03-21T20:20:49.6535304Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-neon-u32.c:12:
2025-03-21T20:20:49.6537600Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16958:32: note: expected ‘const uint16_t *’ {aka ‘const short unsigned int *’} but argument is of type ‘const int32_t *’ {aka ‘const int *’}
2025-03-21T20:20:49.6538840Z   16958 | vld1q_dup_u16 (const uint16_t* __a)
2025-03-21T20:20:49.6539310Z         |                ~~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:49.6541176Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-neon-u32.c:32:54: warning: passing argument 1 of ‘vld1q_dup_s16’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:49.6543360Z      32 |   const int16x8_t voutput_zero_point = vld1q_dup_s16(&params->scalar.output_zero_point);
2025-03-21T20:20:49.6544116Z         |                                                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:49.6544878Z         |                                                      |
2025-03-21T20:20:49.6545426Z         |                                                      const int32_t * {aka const int *}
2025-03-21T20:20:49.6546466Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/qu8-vlrelu/gen/qu8-vlrelu-neon-u32.c:12:
2025-03-21T20:20:49.6548388Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16930:31: note: expected ‘const int16_t *’ {aka ‘const short int *’} but argument is of type ‘const int32_t *’ {aka ‘const int *’}
2025-03-21T20:20:49.6549570Z   16930 | vld1q_dup_s16 (const int16_t* __a)
2025-03-21T20:20:49.6550033Z         |                ~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:49.6551081Z   [ 91%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/s8-ibilinear/gen/s8-ibilinear-neon-c8.c.o
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2025-03-21T20:20:49.6554490Z   [ 91%] Building C object backends/xnnpack/third-party/XNNPACK/CMakeFiles/microkernels-prod.dir/src/s8-maxpool/s8-maxpool-9p8x-minmax-neon-c16.c.o
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2025-03-21T20:20:49.6571635Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/s8-maxpool/s8-maxpool-9p8x-minmax-neon-c16.c: In function ‘xnn_s8_maxpool_minmax_ukernel_9p8x__neon_c16’:
2025-03-21T20:20:49.6574525Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/s8-maxpool/s8-maxpool-9p8x-minmax-neon-c16.c:28:46: warning: passing argument 1 of ‘vld1q_dup_s8’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:49.6576211Z      28 |   const int8x16_t voutput_max = vld1q_dup_s8(&params->scalar.max);
2025-03-21T20:20:49.6576843Z         |                                              ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:49.6577345Z         |                                              |
2025-03-21T20:20:49.6577870Z         |                                              const int32_t * {aka const int *}
2025-03-21T20:20:49.6578946Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/s8-maxpool/s8-maxpool-9p8x-minmax-neon-c16.c:8:
2025-03-21T20:20:49.6581221Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16923:29: note: expected ‘const int8_t *’ {aka ‘const signed char *’} but argument is of type ‘const int32_t *’ {aka ‘const int *’}
2025-03-21T20:20:49.6582421Z   16923 | vld1q_dup_s8 (const int8_t* __a)
2025-03-21T20:20:49.6583009Z         |               ~~~~~~~~~~~~~~^~~
2025-03-21T20:20:49.6584794Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/s8-maxpool/s8-maxpool-9p8x-minmax-neon-c16.c:29:46: warning: passing argument 1 of ‘vld1q_dup_s8’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:49.6586459Z      29 |   const int8x16_t voutput_min = vld1q_dup_s8(&params->scalar.min);
2025-03-21T20:20:49.6587088Z         |                                              ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:49.6587568Z         |                                              |
2025-03-21T20:20:49.6588077Z         |                                              const int32_t * {aka const int *}
2025-03-21T20:20:49.6589175Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/s8-maxpool/s8-maxpool-9p8x-minmax-neon-c16.c:8:
2025-03-21T20:20:49.6591142Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16923:29: note: expected ‘const int8_t *’ {aka ‘const signed char *’} but argument is of type ‘const int32_t *’ {aka ‘const int *’}
2025-03-21T20:20:49.6592324Z   16923 | vld1q_dup_s8 (const int8_t* __a)
2025-03-21T20:20:49.6592775Z         |               ~~~~~~~~~~~~~~^~~
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2025-03-21T20:20:49.8455111Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/s8-vclamp/s8-vclamp-neon-u64.c: In function ‘xnn_s8_vclamp_ukernel__neon_u64’:
2025-03-21T20:20:49.8457544Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/s8-vclamp/s8-vclamp-neon-u64.c:24:46: warning: passing argument 1 of ‘vld1q_dup_s8’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:49.8459167Z      24 |   const int8x16_t voutput_max = vld1q_dup_s8(&params->scalar.max);
2025-03-21T20:20:49.8459805Z         |                                              ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:49.8460291Z         |                                              |
2025-03-21T20:20:49.8460803Z         |                                              const int32_t * {aka const int *}
2025-03-21T20:20:49.8461781Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/s8-vclamp/s8-vclamp-neon-u64.c:8:
2025-03-21T20:20:49.8463622Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16923:29: note: expected ‘const int8_t *’ {aka ‘const signed char *’} but argument is of type ‘const int32_t *’ {aka ‘const int *’}
2025-03-21T20:20:49.8464873Z   16923 | vld1q_dup_s8 (const int8_t* __a)
2025-03-21T20:20:49.8465325Z         |               ~~~~~~~~~~~~~~^~~
2025-03-21T20:20:49.8467020Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/s8-vclamp/s8-vclamp-neon-u64.c:25:46: warning: passing argument 1 of ‘vld1q_dup_s8’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:49.8468615Z      25 |   const int8x16_t voutput_min = vld1q_dup_s8(&params->scalar.min);
2025-03-21T20:20:49.8469261Z         |                                              ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:49.8469757Z         |                                              |
2025-03-21T20:20:49.8470270Z         |                                              const int32_t * {aka const int *}
2025-03-21T20:20:49.8471265Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/s8-vclamp/s8-vclamp-neon-u64.c:8:
2025-03-21T20:20:49.8473113Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16923:29: note: expected ‘const int8_t *’ {aka ‘const signed char *’} but argument is of type ‘const int32_t *’ {aka ‘const int *’}
2025-03-21T20:20:49.8474752Z   16923 | vld1q_dup_s8 (const int8_t* __a)
2025-03-21T20:20:49.8475206Z         |               ~~~~~~~~~~~~~~^~~
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2025-03-21T20:20:49.8487671Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/u8-maxpool/u8-maxpool-9p8x-minmax-neon-c16.c: In function ‘xnn_u8_maxpool_minmax_ukernel_9p8x__neon_c16’:
2025-03-21T20:20:49.8490346Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/u8-maxpool/u8-maxpool-9p8x-minmax-neon-c16.c:31:47: warning: passing argument 1 of ‘vld1q_dup_u8’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:49.8492013Z      31 |   const uint8x16_t voutput_max = vld1q_dup_u8(&params->scalar.max);
2025-03-21T20:20:49.8492653Z         |                                               ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:49.8493139Z         |                                               |
2025-03-21T20:20:49.8493682Z         |                                               const uint32_t * {aka const unsigned int *}
2025-03-21T20:20:49.8494790Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/u8-maxpool/u8-maxpool-9p8x-minmax-neon-c16.c:11:
2025-03-21T20:20:49.8496827Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16951:30: note: expected ‘const uint8_t *’ {aka ‘const unsigned char *’} but argument is of type ‘const uint32_t *’ {aka ‘const unsigned int *’}
2025-03-21T20:20:49.8498076Z   16951 | vld1q_dup_u8 (const uint8_t* __a)
2025-03-21T20:20:49.8498532Z         |               ~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:49.8500270Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/u8-maxpool/u8-maxpool-9p8x-minmax-neon-c16.c:32:47: warning: passing argument 1 of ‘vld1q_dup_u8’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:49.8501937Z      32 |   const uint8x16_t voutput_min = vld1q_dup_u8(&params->scalar.min);
2025-03-21T20:20:49.8502799Z         |                                               ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:49.8503291Z         |                                               |
2025-03-21T20:20:49.8503939Z         |                                               const uint32_t * {aka const unsigned int *}
2025-03-21T20:20:49.8505071Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/u8-maxpool/u8-maxpool-9p8x-minmax-neon-c16.c:11:
2025-03-21T20:20:49.8507118Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16951:30: note: expected ‘const uint8_t *’ {aka ‘const unsigned char *’} but argument is of type ‘const uint32_t *’ {aka ‘const unsigned int *’}
2025-03-21T20:20:49.8508408Z   16951 | vld1q_dup_u8 (const uint8_t* __a)
2025-03-21T20:20:49.8508868Z         |               ~~~~~~~~~~~~~~~^~~
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2025-03-21T20:20:49.8519744Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/u8-vclamp/u8-vclamp-neon-u64.c:24:47: warning: passing argument 1 of ‘vld1q_dup_u8’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:49.8521317Z      24 |   const uint8x16_t voutput_max = vld1q_dup_u8(&params->scalar.max);
2025-03-21T20:20:49.8521946Z         |                                               ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:49.8522439Z         |                                               |
2025-03-21T20:20:49.8522974Z         |                                               const uint32_t * {aka const unsigned int *}
2025-03-21T20:20:49.8523962Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/u8-vclamp/u8-vclamp-neon-u64.c:8:
2025-03-21T20:20:49.8525980Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16951:30: note: expected ‘const uint8_t *’ {aka ‘const unsigned char *’} but argument is of type ‘const uint32_t *’ {aka ‘const unsigned int *’}
2025-03-21T20:20:49.8527237Z   16951 | vld1q_dup_u8 (const uint8_t* __a)
2025-03-21T20:20:49.8527694Z         |               ~~~~~~~~~~~~~~~^~~
2025-03-21T20:20:49.8529323Z   /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/u8-vclamp/u8-vclamp-neon-u64.c:25:47: warning: passing argument 1 of ‘vld1q_dup_u8’ from incompatible pointer type [-Wincompatible-pointer-types]
2025-03-21T20:20:49.8530901Z      25 |   const uint8x16_t voutput_min = vld1q_dup_u8(&params->scalar.min);
2025-03-21T20:20:49.8531548Z         |                                               ^~~~~~~~~~~~~~~~~~~
2025-03-21T20:20:49.8532045Z         |                                               |
2025-03-21T20:20:49.8532580Z         |                                               const uint32_t * {aka const unsigned int *}
2025-03-21T20:20:49.8533579Z   In file included from /pytorch/executorch/backends/xnnpack/third-party/XNNPACK/src/u8-vclamp/u8-vclamp-neon-u64.c:8:
2025-03-21T20:20:49.8535581Z   /usr/lib/gcc/aarch64-linux-gnu/11/include/arm_neon.h:16951:30: note: expected ‘const uint8_t *’ {aka ‘const unsigned char *’} but argument is of type ‘const uint32_t *’ {aka ‘const unsigned int *’}
2025-03-21T20:20:49.8536834Z   16951 | vld1q_dup_u8 (const uint8_t* __a)
2025-03-21T20:20:49.8537600Z         |               ~~~~~~~~~~~~~~~^~~
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2025-03-21T20:21:03.4194170Z      87 | std::pair<float, float> getOutputMinMax(const NodePtr node) noexcept {
2025-03-21T20:21:03.4194816Z         |                                                             ^~~~~~~~
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2025-03-21T20:21:03.4234230Z   In file included from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform.h:19,
2025-03-21T20:21:03.4235658Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:10:
2025-03-21T20:21:03.4237980Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h: In instantiation of ‘void hadamard_mult_28_strided(T*, int) [with T = c10::Half]’:
2025-03-21T20:21:03.4241062Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform.h:133:29:   required from ‘void executorch::fast_hadamard_transform_28N(T*, int) [with T = c10::Half]’
2025-03-21T20:21:03.4242971Z   /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:70:3:   required from here
2025-03-21T20:21:03.4371526Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h:121:21: warning: ISO C++ says that these are ambiguous, even though the worst conversion for the first is better than the worst conversion for the second:
2025-03-21T20:21:03.4373792Z     121 |     out[0] = + x[0] - x[1] - x[2] - x[3] - x[4] - x[5] - x[6] + x[7] + x[8] - x[9] - x[10] - x[11] - x[12] + x[13] + x[14] - x[15] + x[16] - x[17] - x[18] + x[19] - x[20] + x[21] - x[22] - x[23] + x[24] + x[25] - x[26] - x[27];
2025-03-21T20:21:03.4374570Z         |              ~~~~~~~^~~~
2025-03-21T20:21:03.4375635Z   In file included from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:419,
2025-03-21T20:21:03.4376805Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/half.h:11,
2025-03-21T20:21:03.4378140Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-03-21T20:21:03.4379754Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-03-21T20:21:03.4380951Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/evalue.h:10,
2025-03-21T20:21:03.4382416Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h:43,
2025-03-21T20:21:03.4383853Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:9:
2025-03-21T20:21:03.4385670Z   /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h:174:30: note: candidate 1: ‘float c10::operator-(float, c10::Half)’
2025-03-21T20:21:03.4386796Z     174 | inline C10_HOST_DEVICE float operator-(float a, Half b) {
2025-03-21T20:21:03.4387384Z         |                              ^~~~~~~~
2025-03-21T20:21:03.4388477Z   In file included from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform.h:19,
2025-03-21T20:21:03.4389891Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:10:
2025-03-21T20:21:03.4391949Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h:121:21: note: candidate 2: ‘operator-(float16_t {aka __fp16}, float16_t {aka __fp16})’ (built-in)
2025-03-21T20:21:03.4393817Z     121 |     out[0] = + x[0] - x[1] - x[2] - x[3] - x[4] - x[5] - x[6] + x[7] + x[8] - x[9] - x[10] - x[11] - x[12] + x[13] + x[14] - x[15] + x[16] - x[17] - x[18] + x[19] - x[20] + x[21] - x[22] - x[23] + x[24] + x[25] - x[26] - x[27];
2025-03-21T20:21:03.4394589Z         |              ~~~~~~~^~~~
2025-03-21T20:21:03.4397022Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h:130:21: warning: ISO C++ says that these are ambiguous, even though the worst conversion for the first is better than the worst conversion for the second:
2025-03-21T20:21:03.4399192Z     130 |     out[9] = + x[0] - x[1] - x[2] - x[3] + x[4] + x[5] + x[6] - x[7] - x[8] + x[9] - x[10] - x[11] - x[12] - x[13] + x[14] + x[15] - x[16] + x[17] + x[18] - x[19] - x[20] + x[21] - x[22] + x[23] - x[24] + x[25] - x[26] - x[27];
2025-03-21T20:21:03.4399960Z         |              ~~~~~~~^~~~
2025-03-21T20:21:03.4400679Z   In file included from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:419,
2025-03-21T20:21:03.4401843Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/half.h:11,
2025-03-21T20:21:03.4403150Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-03-21T20:21:03.4404476Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-03-21T20:21:03.4405684Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/evalue.h:10,
2025-03-21T20:21:03.4407192Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h:43,
2025-03-21T20:21:03.4408474Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:9:
2025-03-21T20:21:03.4410127Z   /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h:174:30: note: candidate 1: ‘float c10::operator-(float, c10::Half)’
2025-03-21T20:21:03.4411257Z     174 | inline C10_HOST_DEVICE float operator-(float a, Half b) {
2025-03-21T20:21:03.4411832Z         |                              ^~~~~~~~
2025-03-21T20:21:03.4412947Z   In file included from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform.h:19,
2025-03-21T20:21:03.4414340Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:10:
2025-03-21T20:21:03.4416390Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h:130:21: note: candidate 2: ‘operator-(float16_t {aka __fp16}, float16_t {aka __fp16})’ (built-in)
2025-03-21T20:21:03.4418231Z     130 |     out[9] = + x[0] - x[1] - x[2] - x[3] + x[4] + x[5] + x[6] - x[7] - x[8] + x[9] - x[10] - x[11] - x[12] - x[13] + x[14] + x[15] - x[16] + x[17] + x[18] - x[19] - x[20] + x[21] - x[22] + x[23] - x[24] + x[25] - x[26] - x[27];
2025-03-21T20:21:03.4418994Z         |              ~~~~~~~^~~~
2025-03-21T20:21:03.4420771Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h:131:22: warning: ISO C++ says that these are ambiguous, even though the worst conversion for the first is better than the worst conversion for the second:
2025-03-21T20:21:03.4422930Z     131 |     out[10] = + x[0] + x[1] - x[2] - x[3] - x[4] + x[5] + x[6] - x[7] - x[8] - x[9] + x[10] - x[11] - x[12] - x[13] - x[14] + x[15] + x[16] - x[17] + x[18] + x[19] - x[20] - x[21] + x[22] - x[23] + x[24] - x[25] + x[26] - x[27];
2025-03-21T20:21:03.4423695Z         |               ~~~~~~~^~~~
2025-03-21T20:21:03.4424408Z   In file included from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:419,
2025-03-21T20:21:03.4425565Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/half.h:11,
2025-03-21T20:21:03.4426997Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-03-21T20:21:03.4428519Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-03-21T20:21:03.4429815Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/evalue.h:10,
2025-03-21T20:21:03.4431194Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h:43,
2025-03-21T20:21:03.4432471Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:9:
2025-03-21T20:21:03.4434084Z   /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h:171:30: note: candidate 1: ‘float c10::operator+(float, c10::Half)’
2025-03-21T20:21:03.4435221Z     171 | inline C10_HOST_DEVICE float operator+(float a, Half b) {
2025-03-21T20:21:03.4435796Z         |                              ^~~~~~~~
2025-03-21T20:21:03.4436900Z   In file included from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform.h:19,
2025-03-21T20:21:03.4438308Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:10:
2025-03-21T20:21:03.4442358Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h:131:22: note: candidate 2: ‘operator+(float16_t {aka __fp16}, float16_t {aka __fp16})’ (built-in)
2025-03-21T20:21:03.4444237Z     131 |     out[10] = + x[0] + x[1] - x[2] - x[3] - x[4] + x[5] + x[6] - x[7] - x[8] - x[9] + x[10] - x[11] - x[12] - x[13] - x[14] + x[15] + x[16] - x[17] + x[18] + x[19] - x[20] - x[21] + x[22] - x[23] + x[24] - x[25] + x[26] - x[27];
2025-03-21T20:21:03.4444999Z         |               ~~~~~~~^~~~
2025-03-21T20:21:03.4446874Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h:132:22: warning: ISO C++ says that these are ambiguous, even though the worst conversion for the first is better than the worst conversion for the second:
2025-03-21T20:21:03.4449043Z     132 |     out[11] = + x[0] + x[1] + x[2] - x[3] - x[4] - x[5] + x[6] - x[7] - x[8] - x[9] - x[10] + x[11] - x[12] - x[13] - x[14] - x[15] + x[16] + x[17] - x[18] + x[19] + x[20] - x[21] - x[22] + x[23] - x[24] + x[25] - x[26] + x[27];
2025-03-21T20:21:03.4449795Z         |               ~~~~~~~^~~~
2025-03-21T20:21:03.4450511Z   In file included from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:419,
2025-03-21T20:21:03.4593618Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/half.h:11,
2025-03-21T20:21:03.4595163Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-03-21T20:21:03.4598451Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-03-21T20:21:03.4601095Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/evalue.h:10,
2025-03-21T20:21:03.4603556Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h:43,
2025-03-21T20:21:03.4605135Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:9:
2025-03-21T20:21:03.4608474Z   /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h:171:30: note: candidate 1: ‘float c10::operator+(float, c10::Half)’
2025-03-21T20:21:03.4609619Z     171 | inline C10_HOST_DEVICE float operator+(float a, Half b) {
2025-03-21T20:21:03.4611555Z         |                              ^~~~~~~~
2025-03-21T20:21:03.4612671Z   In file included from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform.h:19,
2025-03-21T20:21:03.4615921Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:10:
2025-03-21T20:21:03.4619717Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h:132:22: note: candidate 2: ‘operator+(float16_t {aka __fp16}, float16_t {aka __fp16})’ (built-in)
2025-03-21T20:21:03.4622958Z     132 |     out[11] = + x[0] + x[1] + x[2] - x[3] - x[4] - x[5] + x[6] - x[7] - x[8] - x[9] - x[10] + x[11] - x[12] - x[13] - x[14] - x[15] + x[16] + x[17] - x[18] + x[19] + x[20] - x[21] - x[22] + x[23] - x[24] + x[25] - x[26] + x[27];
2025-03-21T20:21:03.4623758Z         |               ~~~~~~~^~~~
2025-03-21T20:21:03.4626915Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h:133:22: warning: ISO C++ says that these are ambiguous, even though the worst conversion for the first is better than the worst conversion for the second:
2025-03-21T20:21:03.4630471Z     133 |     out[12] = + x[0] + x[1] + x[2] + x[3] - x[4] - x[5] - x[6] - x[7] - x[8] - x[9] - x[10] - x[11] + x[12] - x[13] + x[14] - x[15] - x[16] + x[17] + x[18] - x[19] + x[20] + x[21] - x[22] - x[23] + x[24] - x[25] + x[26] - x[27];
2025-03-21T20:21:03.4631283Z         |               ~~~~~~~^~~~
2025-03-21T20:21:03.4632007Z   In file included from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:419,
2025-03-21T20:21:03.4634513Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/half.h:11,
2025-03-21T20:21:03.4635836Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-03-21T20:21:03.4638393Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-03-21T20:21:03.4641119Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/evalue.h:10,
2025-03-21T20:21:03.4642536Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h:43,
2025-03-21T20:21:03.4644932Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:9:
2025-03-21T20:21:03.4646782Z   /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h:171:30: note: candidate 1: ‘float c10::operator+(float, c10::Half)’
2025-03-21T20:21:03.4649349Z     171 | inline C10_HOST_DEVICE float operator+(float a, Half b) {
2025-03-21T20:21:03.4649928Z         |                              ^~~~~~~~
2025-03-21T20:21:03.4651040Z   In file included from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform.h:19,
2025-03-21T20:21:03.4653692Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:10:
2025-03-21T20:21:03.4659415Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h:133:22: note: candidate 2: ‘operator+(float16_t {aka __fp16}, float16_t {aka __fp16})’ (built-in)
2025-03-21T20:21:03.4661581Z     133 |     out[12] = + x[0] + x[1] + x[2] + x[3] - x[4] - x[5] - x[6] - x[7] - x[8] - x[9] - x[10] - x[11] + x[12] - x[13] + x[14] - x[15] - x[16] + x[17] + x[18] - x[19] + x[20] + x[21] - x[22] - x[23] + x[24] - x[25] + x[26] - x[27];
2025-03-21T20:21:03.4662360Z         |               ~~~~~~~^~~~
2025-03-21T20:21:03.4665474Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h:136:22: warning: ISO C++ says that these are ambiguous, even though the worst conversion for the first is better than the worst conversion for the second:
2025-03-21T20:21:03.4669326Z     136 |     out[15] = + x[0] - x[1] + x[2] - x[3] + x[4] + x[5] - x[6] - x[7] + x[8] - x[9] - x[10] + x[11] + x[12] - x[13] - x[14] + x[15] - x[16] - x[17] - x[18] - x[19] - x[20] - x[21] - x[22] - x[23] + x[24] + x[25] + x[26] + x[27];
2025-03-21T20:21:03.4671644Z         |               ~~~~~~~^~~~
2025-03-21T20:21:03.4672403Z   In file included from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:419,
2025-03-21T20:21:03.4674653Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/half.h:11,
2025-03-21T20:21:03.4676236Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-03-21T20:21:03.4678806Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-03-21T20:21:03.4680039Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/evalue.h:10,
2025-03-21T20:21:03.4681407Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h:43,
2025-03-21T20:21:03.4683948Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:9:
2025-03-21T20:21:03.4687114Z   /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h:174:30: note: candidate 1: ‘float c10::operator-(float, c10::Half)’
2025-03-21T20:21:03.4688302Z     174 | inline C10_HOST_DEVICE float operator-(float a, Half b) {
2025-03-21T20:21:03.4688876Z         |                              ^~~~~~~~
2025-03-21T20:21:03.4691158Z   In file included from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform.h:19,
2025-03-21T20:21:03.4692565Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:10:
2025-03-21T20:21:03.4695949Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h:136:22: note: candidate 2: ‘operator-(float16_t {aka __fp16}, float16_t {aka __fp16})’ (built-in)
2025-03-21T20:21:03.4699095Z     136 |     out[15] = + x[0] - x[1] + x[2] - x[3] + x[4] + x[5] - x[6] - x[7] + x[8] - x[9] - x[10] + x[11] + x[12] - x[13] - x[14] + x[15] - x[16] - x[17] - x[18] - x[19] - x[20] - x[21] - x[22] - x[23] + x[24] + x[25] + x[26] + x[27];
2025-03-21T20:21:03.4699889Z         |               ~~~~~~~^~~~
2025-03-21T20:21:03.4702892Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h:138:22: warning: ISO C++ says that these are ambiguous, even though the worst conversion for the first is better than the worst conversion for the second:
2025-03-21T20:21:03.4706180Z     138 |     out[17] = + x[0] - x[1] + x[2] - x[3] + x[4] - x[5] + x[6] + x[7] - x[8] - x[9] + x[10] - x[11] - x[12] + x[13] - x[14] - x[15] - x[16] + x[17] - x[18] - x[19] - x[20] + x[21] + x[22] - x[23] - x[24] - x[25] + x[26] + x[27];
2025-03-21T20:21:03.4706994Z         |               ~~~~~~~^~~~
2025-03-21T20:21:03.4707731Z   In file included from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:419,
2025-03-21T20:21:03.4710178Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/half.h:11,
2025-03-21T20:21:03.4711502Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-03-21T20:21:03.4713987Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-03-21T20:21:03.4715196Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/evalue.h:10,
2025-03-21T20:21:03.4717726Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h:43,
2025-03-21T20:21:03.4824700Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:9:
2025-03-21T20:21:03.4828282Z   /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h:174:30: note: candidate 1: ‘float c10::operator-(float, c10::Half)’
2025-03-21T20:21:03.4829501Z     174 | inline C10_HOST_DEVICE float operator-(float a, Half b) {
2025-03-21T20:21:03.4830085Z         |                              ^~~~~~~~
2025-03-21T20:21:03.4832542Z   In file included from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform.h:19,
2025-03-21T20:21:03.4834842Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:10:
2025-03-21T20:21:03.4837237Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h:138:22: note: candidate 2: ‘operator-(float16_t {aka __fp16}, float16_t {aka __fp16})’ (built-in)
2025-03-21T20:21:03.4840523Z     138 |     out[17] = + x[0] - x[1] + x[2] - x[3] + x[4] - x[5] + x[6] + x[7] - x[8] - x[9] + x[10] - x[11] - x[12] + x[13] - x[14] - x[15] - x[16] + x[17] - x[18] - x[19] - x[20] + x[21] + x[22] - x[23] - x[24] - x[25] + x[26] + x[27];
2025-03-21T20:21:03.4842265Z         |               ~~~~~~~^~~~
2025-03-21T20:21:03.4844305Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h:139:22: warning: ISO C++ says that these are ambiguous, even though the worst conversion for the first is better than the worst conversion for the second:
2025-03-21T20:21:03.4847703Z     139 |     out[18] = + x[0] + x[1] - x[2] + x[3] - x[4] + x[5] - x[6] + x[7] + x[8] - x[9] - x[10] + x[11] - x[12] - x[13] - x[14] - x[15] - x[16] - x[17] + x[18] - x[19] - x[20] + x[21] + x[22] + x[23] - x[24] - x[25] - x[26] + x[27];
2025-03-21T20:21:03.4848522Z         |               ~~~~~~~^~~~
2025-03-21T20:21:03.4850405Z   In file included from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:419,
2025-03-21T20:21:03.4851625Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/half.h:11,
2025-03-21T20:21:03.4854094Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-03-21T20:21:03.4855452Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-03-21T20:21:03.4857809Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/evalue.h:10,
2025-03-21T20:21:03.4859180Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h:43,
2025-03-21T20:21:03.4861744Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:9:
2025-03-21T20:21:03.4863518Z   /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h:171:30: note: candidate 1: ‘float c10::operator+(float, c10::Half)’
2025-03-21T20:21:03.4865966Z     171 | inline C10_HOST_DEVICE float operator+(float a, Half b) {
2025-03-21T20:21:03.4866541Z         |                              ^~~~~~~~
2025-03-21T20:21:03.4867660Z   In file included from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform.h:19,
2025-03-21T20:21:03.4870371Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:10:
2025-03-21T20:21:03.4873654Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h:139:22: note: candidate 2: ‘operator+(float16_t {aka __fp16}, float16_t {aka __fp16})’ (built-in)
2025-03-21T20:21:03.4877565Z     139 |     out[18] = + x[0] + x[1] - x[2] + x[3] - x[4] + x[5] - x[6] + x[7] + x[8] - x[9] - x[10] + x[11] - x[12] - x[13] - x[14] - x[15] - x[16] - x[17] + x[18] - x[19] - x[20] + x[21] + x[22] + x[23] - x[24] - x[25] - x[26] + x[27];
2025-03-21T20:21:03.4878383Z         |               ~~~~~~~^~~~
2025-03-21T20:21:03.4881561Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h:141:22: warning: ISO C++ says that these are ambiguous, even though the worst conversion for the first is better than the worst conversion for the second:
2025-03-21T20:21:03.4885077Z     141 |     out[20] = + x[0] - x[1] + x[2] + x[3] - x[4] + x[5] - x[6] - x[7] - x[8] + x[9] + x[10] - x[11] - x[12] + x[13] - x[14] - x[15] - x[16] - x[17] - x[18] - x[19] + x[20] - x[21] + x[22] + x[23] + x[24] + x[25] - x[26] - x[27];
2025-03-21T20:21:03.4885998Z         |               ~~~~~~~^~~~
2025-03-21T20:21:03.4886739Z   In file included from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:419,
2025-03-21T20:21:03.4887909Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/half.h:11,
2025-03-21T20:21:03.4890550Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-03-21T20:21:03.4893300Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-03-21T20:21:03.4894567Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/evalue.h:10,
2025-03-21T20:21:03.4897014Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h:43,
2025-03-21T20:21:03.4898345Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:9:
2025-03-21T20:21:03.4901412Z   /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h:174:30: note: candidate 1: ‘float c10::operator-(float, c10::Half)’
2025-03-21T20:21:03.4902591Z     174 | inline C10_HOST_DEVICE float operator-(float a, Half b) {
2025-03-21T20:21:03.4904396Z         |                              ^~~~~~~~
2025-03-21T20:21:03.4905529Z   In file included from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform.h:19,
2025-03-21T20:21:03.4908109Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:10:
2025-03-21T20:21:03.4911192Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h:141:22: note: candidate 2: ‘operator-(float16_t {aka __fp16}, float16_t {aka __fp16})’ (built-in)
2025-03-21T20:21:03.4913324Z     141 |     out[20] = + x[0] - x[1] + x[2] + x[3] - x[4] + x[5] - x[6] - x[7] - x[8] + x[9] + x[10] - x[11] - x[12] + x[13] - x[14] - x[15] - x[16] - x[17] - x[18] - x[19] + x[20] - x[21] + x[22] + x[23] + x[24] + x[25] - x[26] - x[27];
2025-03-21T20:21:03.4915322Z         |               ~~~~~~~^~~~
2025-03-21T20:21:03.4917128Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h:143:22: warning: ISO C++ says that these are ambiguous, even though the worst conversion for the first is better than the worst conversion for the second:
2025-03-21T20:21:03.4920459Z     143 |     out[22] = + x[0] - x[1] + x[2] + x[3] - x[4] - x[5] + x[6] + x[7] - x[8] + x[9] - x[10] + x[11] + x[12] - x[13] + x[14] + x[15] + x[16] - x[17] - x[18] - x[19] - x[20] - x[21] + x[22] - x[23] - x[24] - x[25] - x[26] - x[27];
2025-03-21T20:21:03.4921253Z         |               ~~~~~~~^~~~
2025-03-21T20:21:03.4923583Z   In file included from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:419,
2025-03-21T20:21:03.4924754Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/half.h:11,
2025-03-21T20:21:03.4927586Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-03-21T20:21:03.4929985Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-03-21T20:21:03.4931441Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/evalue.h:10,
2025-03-21T20:21:03.4933758Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h:43,
2025-03-21T20:21:03.4935286Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:9:
2025-03-21T20:21:03.4939676Z   /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h:174:30: note: candidate 1: ‘float c10::operator-(float, c10::Half)’
2025-03-21T20:21:03.4942320Z     174 | inline C10_HOST_DEVICE float operator-(float a, Half b) {
2025-03-21T20:21:03.4942900Z         |                              ^~~~~~~~
2025-03-21T20:21:03.4945059Z   In file included from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform.h:19,
2025-03-21T20:21:03.4946701Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:10:
2025-03-21T20:21:05.2549514Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h:143:22: note: candidate 2: ‘operator-(float16_t {aka __fp16}, float16_t {aka __fp16})’ (built-in)
2025-03-21T20:21:05.2551488Z     143 |     out[22] = + x[0] - x[1] + x[2] + x[3] - x[4] - x[5] + x[6] + x[7] - x[8] + x[9] - x[10] + x[11] + x[12] - x[13] + x[14] + x[15] + x[16] - x[17] - x[18] - x[19] - x[20] - x[21] + x[22] - x[23] - x[24] - x[25] - x[26] - x[27];
2025-03-21T20:21:05.2552312Z         |               ~~~~~~~^~~~
2025-03-21T20:21:05.2554116Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h:144:22: warning: ISO C++ says that these are ambiguous, even though the worst conversion for the first is better than the worst conversion for the second:
2025-03-21T20:21:05.2556273Z     144 |     out[23] = + x[0] + x[1] - x[2] + x[3] + x[4] - x[5] - x[6] - x[7] + x[8] - x[9] + x[10] - x[11] + x[12] + x[13] - x[14] + x[15] + x[16] + x[17] - x[18] - x[19] - x[20] - x[21] - x[22] + x[23] - x[24] - x[25] - x[26] - x[27];
2025-03-21T20:21:05.2557045Z         |               ~~~~~~~^~~~
2025-03-21T20:21:05.2557774Z   In file included from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:419,
2025-03-21T20:21:05.2558948Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/half.h:11,
2025-03-21T20:21:05.2560275Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-03-21T20:21:05.2561590Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-03-21T20:21:05.2562796Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/evalue.h:10,
2025-03-21T20:21:05.2564151Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h:43,
2025-03-21T20:21:05.2565434Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:9:
2025-03-21T20:21:05.2567209Z   /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h:171:30: note: candidate 1: ‘float c10::operator+(float, c10::Half)’
2025-03-21T20:21:05.2568806Z     171 | inline C10_HOST_DEVICE float operator+(float a, Half b) {
2025-03-21T20:21:05.2569667Z         |                              ^~~~~~~~
2025-03-21T20:21:05.2570797Z   In file included from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform.h:19,
2025-03-21T20:21:05.2572203Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:10:
2025-03-21T20:21:05.2574282Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h:144:22: note: candidate 2: ‘operator+(float16_t {aka __fp16}, float16_t {aka __fp16})’ (built-in)
2025-03-21T20:21:05.2576151Z     144 |     out[23] = + x[0] + x[1] - x[2] + x[3] + x[4] - x[5] - x[6] - x[7] + x[8] - x[9] + x[10] - x[11] + x[12] + x[13] - x[14] + x[15] + x[16] + x[17] - x[18] - x[19] - x[20] - x[21] - x[22] + x[23] - x[24] - x[25] - x[26] - x[27];
2025-03-21T20:21:05.2576952Z         |               ~~~~~~~^~~~
2025-03-21T20:21:05.2578763Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h:147:22: warning: ISO C++ says that these are ambiguous, even though the worst conversion for the first is better than the worst conversion for the second:
2025-03-21T20:21:05.2580921Z     147 |     out[26] = + x[0] - x[1] - x[2] + x[3] + x[4] - x[5] + x[6] - x[7] + x[8] + x[9] - x[10] + x[11] - x[12] + x[13] - x[14] - x[15] - x[16] - x[17] + x[18] + x[19] + x[20] - x[21] - x[22] - x[23] - x[24] - x[25] + x[26] - x[27];
2025-03-21T20:21:05.2581691Z         |               ~~~~~~~^~~~
2025-03-21T20:21:05.2582459Z   In file included from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:419,
2025-03-21T20:21:05.2583620Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/half.h:11,
2025-03-21T20:21:05.2584952Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-03-21T20:21:05.2586273Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-03-21T20:21:05.2587471Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/evalue.h:10,
2025-03-21T20:21:05.2588824Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h:43,
2025-03-21T20:21:05.2590109Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:9:
2025-03-21T20:21:05.2591738Z   /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h:174:30: note: candidate 1: ‘float c10::operator-(float, c10::Half)’
2025-03-21T20:21:05.2592872Z     174 | inline C10_HOST_DEVICE float operator-(float a, Half b) {
2025-03-21T20:21:05.2593455Z         |                              ^~~~~~~~
2025-03-21T20:21:05.2594578Z   In file included from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform.h:19,
2025-03-21T20:21:05.2595966Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:10:
2025-03-21T20:21:05.2598040Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h:147:22: note: candidate 2: ‘operator-(float16_t {aka __fp16}, float16_t {aka __fp16})’ (built-in)
2025-03-21T20:21:05.2599897Z     147 |     out[26] = + x[0] - x[1] - x[2] + x[3] + x[4] - x[5] + x[6] - x[7] + x[8] + x[9] - x[10] + x[11] - x[12] + x[13] - x[14] - x[15] - x[16] - x[17] + x[18] + x[19] + x[20] - x[21] - x[22] - x[23] - x[24] - x[25] + x[26] - x[27];
2025-03-21T20:21:05.2600903Z         |               ~~~~~~~^~~~
2025-03-21T20:21:05.2602809Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h:148:22: warning: ISO C++ says that these are ambiguous, even though the worst conversion for the first is better than the worst conversion for the second:
2025-03-21T20:21:05.2605037Z     148 |     out[27] = + x[0] + x[1] - x[2] - x[3] + x[4] + x[5] - x[6] + x[7] - x[8] + x[9] + x[10] - x[11] + x[12] - x[13] + x[14] - x[15] - x[16] - x[17] - x[18] + x[19] + x[20] - x[21] - x[22] - x[23] - x[24] - x[25] - x[26] + x[27];
2025-03-21T20:21:05.2605905Z         |               ~~~~~~~^~~~
2025-03-21T20:21:05.2606639Z   In file included from /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half.h:419,
2025-03-21T20:21:05.2607818Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/half.h:11,
2025-03-21T20:21:05.2609133Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/portable_type/bfloat16_math.h:12,
2025-03-21T20:21:05.2610462Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/exec_aten/exec_aten.h:36,
2025-03-21T20:21:05.2611673Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/runtime/core/evalue.h:10,
2025-03-21T20:21:05.2613020Z                    from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h:43,
2025-03-21T20:21:05.2614300Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:9:
2025-03-21T20:21:05.2615935Z   /pytorch/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h:171:30: note: candidate 1: ‘float c10::operator+(float, c10::Half)’
2025-03-21T20:21:05.2617063Z     171 | inline C10_HOST_DEVICE float operator+(float a, Half b) {
2025-03-21T20:21:05.2617643Z         |                              ^~~~~~~~
2025-03-21T20:21:05.2618748Z   In file included from /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform.h:19,
2025-03-21T20:21:05.2620139Z                    from /pytorch/executorch/extension/llm/custom_ops/op_fast_hadamard_transform.cpp:10:
2025-03-21T20:21:05.2622190Z   /pytorch/executorch/extension/llm/custom_ops/../../../../executorch/extension/llm/custom_ops/spinquant/fast_hadamard_transform_special.h:148:22: note: candidate 2: ‘operator+(float16_t {aka __fp16}, float16_t {aka __fp16})’ (built-in)
2025-03-21T20:21:05.2624033Z     148 |     out[27] = + x[0] + x[1] - x[2] - x[3] + x[4] + x[5] - x[6] + x[7] - x[8] + x[9] + x[10] - x[11] + x[12] - x[13] + x[14] - x[15] - x[16] - x[17] - x[18] + x[19] + x[20] - x[21] - x[22] - x[23] - x[24] - x[25] - x[26] + x[27];
2025-03-21T20:21:05.2624796Z         |               ~~~~~~~^~~~
2025-03-21T20:21:05.2625323Z   [100%] Linking CXX shared library libcustom_ops_aot_lib.so
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2025-03-21T20:21:14.5002771Z   [ 98%] Generating selected_operators.yaml for quantized_ops_pybind_lib
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2025-03-21T20:21:14.5011333Z   quantized_decomposed::add.out quantized_decomposed::choose_qparams.Tensor_out quantized_decomposed::choose_qparams_per_token_asymmetric.out quantized_decomposed::dequantize_per_channel.out quantized_decomposed::dequantize_per_tensor.out quantized_decomposed::dequantize_per_tensor.Tensor_out quantized_decomposed::dequantize_per_token.out quantized_decomposed::mixed_linear.out quantized_decomposed::mixed_mm.out quantized_decomposed::quantize_per_channel.out quantized_decomposed::quantize_per_tensor.out quantized_decomposed::quantize_per_tensor.Tensor_out quantized_decomposed::quantize_per_token.out
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2025-03-21T20:21:14.5198540Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/compiler
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2025-03-21T20:21:14.5201488Z   copying backends/apple/coreml/compiler/coreml_preprocess.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/compiler
2025-03-21T20:21:14.5202874Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/partition
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2025-03-21T20:21:14.5207464Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/quantizer
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2025-03-21T20:21:14.5210439Z   copying backends/apple/coreml/quantizer/coreml_quantizer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/quantizer
2025-03-21T20:21:14.5211794Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/test
2025-03-21T20:21:14.5213129Z   copying backends/apple/coreml/test/test_coreml_partitioner.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/test
2025-03-21T20:21:14.5214778Z   copying backends/apple/coreml/test/test_coreml_quantizer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/test
2025-03-21T20:21:14.5216178Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/runtime/inmemoryfs
2025-03-21T20:21:14.5236478Z   copying backends/apple/coreml/runtime/inmemoryfs/setup.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/runtime/inmemoryfs
2025-03-21T20:21:14.5238413Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/runtime/test
2025-03-21T20:21:14.5240331Z   copying backends/apple/coreml/runtime/test/export_stateful_model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/runtime/test
2025-03-21T20:21:14.5241778Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:14.5243027Z   copying backends/apple/mps/operators/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:14.5244579Z   copying backends/apple/mps/operators/activation_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:14.5246246Z   copying backends/apple/mps/operators/binary_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:14.5247793Z   copying backends/apple/mps/operators/clamp_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:14.5249364Z   copying backends/apple/mps/operators/constant_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:14.5250972Z   copying backends/apple/mps/operators/convolution_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:14.5252576Z   copying backends/apple/mps/operators/indexing_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:14.5254186Z   copying backends/apple/mps/operators/linear_algebra_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:14.5255791Z   copying backends/apple/mps/operators/node_visitor.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:14.5257414Z   copying backends/apple/mps/operators/normalization_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:14.5258999Z   copying backends/apple/mps/operators/op_clone.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:14.5260535Z   copying backends/apple/mps/operators/op_getitem.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:14.5262105Z   copying backends/apple/mps/operators/op_quant_dequant.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:14.5263681Z   copying backends/apple/mps/operators/op_skip_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:14.5265195Z   copying backends/apple/mps/operators/pad_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:14.5266727Z   copying backends/apple/mps/operators/pooling_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:14.5268293Z   copying backends/apple/mps/operators/range_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:14.5269838Z   copying backends/apple/mps/operators/reduce_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:14.5271380Z   copying backends/apple/mps/operators/shape_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:14.5272912Z   copying backends/apple/mps/operators/unary_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:21:14.5274168Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/partition
2025-03-21T20:21:14.5275417Z   copying backends/apple/mps/partition/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/partition
2025-03-21T20:21:14.5276975Z   copying backends/apple/mps/partition/mps_partitioner.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/partition
2025-03-21T20:21:14.5346238Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/serialization
2025-03-21T20:21:14.5348007Z   copying backends/apple/mps/serialization/mps_graph_schema.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/serialization
2025-03-21T20:21:14.5349822Z   copying backends/apple/mps/serialization/mps_graph_serialize.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/serialization
2025-03-21T20:21:14.5351202Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/test
2025-03-21T20:21:14.5352374Z   copying backends/apple/mps/test/test_mps.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/test
2025-03-21T20:21:14.5353822Z   copying backends/apple/mps/test/test_mps_binary_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/test
2025-03-21T20:21:14.5355356Z   copying backends/apple/mps/test/test_mps_indexing_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/test
2025-03-21T20:21:14.5356852Z   copying backends/apple/mps/test/test_mps_linear.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/test
2025-03-21T20:21:14.5358365Z   copying backends/apple/mps/test/test_mps_models.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/test
2025-03-21T20:21:14.5359850Z   copying backends/apple/mps/test/test_mps_unary_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/test
2025-03-21T20:21:14.5361322Z   copying backends/apple/mps/test/test_mps_utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/test
2025-03-21T20:21:14.5362520Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/utils
2025-03-21T20:21:14.5363720Z   copying backends/apple/mps/utils/mps_utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/utils
2025-03-21T20:21:14.5365183Z   copying backends/apple/mps/utils/quant_utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/utils
2025-03-21T20:21:14.5366471Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:14.5367589Z   copying backends/arm/_passes/_debug_passes.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:14.5369052Z   copying backends/arm/_passes/annotate_channels_last_dim_order_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:14.5370601Z   copying backends/arm/_passes/annotate_decomposed_matmul.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:14.5372019Z   copying backends/arm/_passes/arm_pass_manager.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:14.5373359Z   copying backends/arm/_passes/arm_pass_utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:14.5374705Z   copying backends/arm/_passes/cast_int64_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:14.5376104Z   copying backends/arm/_passes/conv1d_unsqueeze_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:14.5377601Z   copying backends/arm/_passes/convert_any_default_dim_dims_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:14.5379119Z   copying backends/arm/_passes/convert_expand_copy_to_repeat.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:14.5380623Z   copying backends/arm/_passes/convert_full_like_to_full_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:14.5382061Z   copying backends/arm/_passes/convert_minmax_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:14.5383777Z   copying backends/arm/_passes/convert_split_to_slice.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:14.5385317Z   copying backends/arm/_passes/convert_squeezes_to_view.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:14.5386752Z   copying backends/arm/_passes/convert_to_clamp.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:14.5388176Z   copying backends/arm/_passes/decompose_batchnorm_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:14.5389615Z   copying backends/arm/_passes/decompose_div_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:14.5391043Z   copying backends/arm/_passes/decompose_layernorm_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:14.5392488Z   copying backends/arm/_passes/decompose_linear_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:14.5393921Z   copying backends/arm/_passes/decompose_meandim_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:14.5395337Z   copying backends/arm/_passes/decompose_select.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:14.5396744Z   copying backends/arm/_passes/decompose_softmax_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:14.5398235Z   copying backends/arm/_passes/decompose_softmax_unstable_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:14.5399701Z   copying backends/arm/_passes/decompose_var_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:14.5401186Z   copying backends/arm/_passes/fold_qdq_with_annotated_qparams_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:14.5402695Z   copying backends/arm/_passes/fuse_batchnorm2d_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:14.5404120Z   copying backends/arm/_passes/fuse_constant_ops_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:14.5405593Z   copying backends/arm/_passes/fuse_quantized_activation_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:14.5407159Z   copying backends/arm/_passes/insert_rescales_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:14.5408545Z   copying backends/arm/_passes/insert_table_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:14.5409974Z   copying backends/arm/_passes/keep_dims_false_to_squeeze_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:14.5411433Z   copying backends/arm/_passes/match_arg_ranks_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:14.5412877Z   copying backends/arm/_passes/meandim_to_averagepool_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:14.5414275Z   copying backends/arm/_passes/mm_to_bmm_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:14.5415602Z   copying backends/arm/_passes/remove_clone_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:14.5417013Z   copying backends/arm/_passes/scalars_to_attribute_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:14.5418456Z   copying backends/arm/_passes/size_adjust_conv2d_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:14.5419916Z   copying backends/arm/_passes/unsqueeze_before_repeat_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:14.5421658Z   copying backends/arm/_passes/unsqueeze_scalar_placeholders_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:21:14.5423092Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:21:14.5424382Z   copying backends/arm/operator_support/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:21:14.5425960Z   copying backends/arm/operator_support/convolution_support.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:21:14.5427602Z   copying backends/arm/operator_support/minmax_support.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:21:14.5429205Z   copying backends/arm/operator_support/pool_2d_support.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:21:14.5430831Z   copying backends/arm/operator_support/reduce_sum_support.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:21:14.5432516Z   copying backends/arm/operator_support/right_shift_support.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:21:14.5434165Z   copying backends/arm/operator_support/slice_copy_support.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:21:14.5435786Z   copying backends/arm/operator_support/to_copy_support.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:21:14.5437448Z   copying backends/arm/operator_support/tosa_supported_operators.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:21:14.5531097Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:14.5532357Z   copying backends/arm/operators/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:14.5533777Z   copying backends/arm/operators/node_visitor.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:14.5535178Z   copying backends/arm/operators/op_abs.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:14.5536507Z   copying backends/arm/operators/op_add.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:14.5537837Z   copying backends/arm/operators/op_amax.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:14.5539166Z   copying backends/arm/operators/op_amin.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:14.5540669Z   copying backends/arm/operators/op_any.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:14.5542041Z   copying backends/arm/operators/op_avg_pool2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:14.5543406Z   copying backends/arm/operators/op_bmm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:14.5544748Z   copying backends/arm/operators/op_cat.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:14.5546088Z   copying backends/arm/operators/op_clamp.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:14.5547493Z   copying backends/arm/operators/op_constant_pad_nd.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:14.5548894Z   copying backends/arm/operators/op_conv2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:14.5550236Z   copying backends/arm/operators/op_eq.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:14.5551943Z   copying backends/arm/operators/op_exp.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:14.5553468Z   copying backends/arm/operators/op_full.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:14.5554823Z   copying backends/arm/operators/op_ge.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:14.5556165Z   copying backends/arm/operators/op_get_item.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:14.5557513Z   copying backends/arm/operators/op_gt.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:14.5558819Z   copying backends/arm/operators/op_le.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:14.5560145Z   copying backends/arm/operators/op_log.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:14.5561481Z   copying backends/arm/operators/op_lt.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:14.5562846Z   copying backends/arm/operators/op_max_pool2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:14.5564246Z   copying backends/arm/operators/op_maximum.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:14.5565622Z   copying backends/arm/operators/op_minimum.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:14.5567093Z   copying backends/arm/operators/op_mul.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:14.5568444Z   copying backends/arm/operators/op_permute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:14.5569849Z   copying backends/arm/operators/op_reciprocal.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:14.5571262Z   copying backends/arm/operators/op_repeat.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:14.5572645Z   copying backends/arm/operators/op_rescale.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:14.5574024Z   copying backends/arm/operators/op_rshift.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:14.5575389Z   copying backends/arm/operators/op_rsqrt.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:14.5576757Z   copying backends/arm/operators/op_sigmoid.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:14.5578120Z   copying backends/arm/operators/op_slice.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:14.5579469Z   copying backends/arm/operators/op_sub.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:14.5580807Z   copying backends/arm/operators/op_sum.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:14.5582162Z   copying backends/arm/operators/op_table.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:14.5583515Z   copying backends/arm/operators/op_tanh.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:14.5584874Z   copying backends/arm/operators/op_to_copy.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:14.5586289Z   copying backends/arm/operators/op_to_dim_order_copy.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:14.5587728Z   copying backends/arm/operators/op_transpose.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:14.5589189Z   copying backends/arm/operators/op_upsample_nearest2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:14.5590830Z   copying backends/arm/operators/op_view.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:14.5592308Z   copying backends/arm/operators/ops_binary.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:14.5593716Z   copying backends/arm/operators/ops_unary.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:21:14.5594865Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/quantizer
2025-03-21T20:21:14.5595997Z   copying backends/arm/quantizer/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/quantizer
2025-03-21T20:21:14.5597376Z   copying backends/arm/quantizer/arm_quantizer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/quantizer
2025-03-21T20:21:14.5598820Z   copying backends/arm/quantizer/arm_quantizer_utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/quantizer
2025-03-21T20:21:14.5600378Z   copying backends/arm/quantizer/quantization_annotator.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/quantizer
2025-03-21T20:21:14.5601924Z   copying backends/arm/quantizer/quantization_config.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/quantizer
2025-03-21T20:21:14.5603124Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test
2025-03-21T20:21:14.5604165Z   copying backends/arm/test/common.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test
2025-03-21T20:21:14.5605411Z   copying backends/arm/test/conftest.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test
2025-03-21T20:21:14.5606771Z   copying backends/arm/test/runner_utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test
2025-03-21T20:21:14.5608035Z   copying backends/arm/test/test_model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test
2025-03-21T20:21:14.5609104Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/util
2025-03-21T20:21:14.5610227Z   copying backends/arm/util/arm_model_evaluator.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/util
2025-03-21T20:21:14.5611369Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:21:14.5612591Z   copying backends/arm/test/misc/test_custom_partition.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:21:14.5614061Z   copying backends/arm/test/misc/test_debug_feats.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:21:14.5615514Z   copying backends/arm/test/misc/test_dim_order_guards.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:21:14.5616990Z   copying backends/arm/test/misc/test_lifted_tensor.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:21:14.5618476Z   copying backends/arm/test/misc/test_model_evaluator.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:21:14.5619998Z   copying backends/arm/test/misc/test_multiple_delegates.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:21:14.5621519Z   copying backends/arm/test/misc/test_multiple_outputs.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:21:14.5623135Z   copying backends/arm/test/misc/test_partition_decomposed_quantized_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:21:14.5719594Z   copying backends/arm/test/misc/test_tosa_spec.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:21:14.5720811Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:21:14.5722423Z   copying backends/arm/test/models/test_conformer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:21:14.5724089Z   copying backends/arm/test/models/test_dl3_arm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:21:14.5725540Z   copying backends/arm/test/models/test_llama.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:21:14.5727076Z   copying backends/arm/test/models/test_lstm_arm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:21:14.5728584Z   copying backends/arm/test/models/test_mobilenet_v2_arm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:21:14.5730118Z   copying backends/arm/test/models/test_nn_functional.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:21:14.5731618Z   copying backends/arm/test/models/test_nn_modules.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:21:14.5733144Z   copying backends/arm/test/models/test_torch_functions.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:21:14.5734690Z   copying backends/arm/test/models/test_w2l_arm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:21:14.5735861Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5736993Z   copying backends/arm/test/ops/test_abs.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5738319Z   copying backends/arm/test/ops/test_add.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5739643Z   copying backends/arm/test/ops/test_amax.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5741139Z   copying backends/arm/test/ops/test_amin.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5742475Z   copying backends/arm/test/ops/test_any.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5743834Z   copying backends/arm/test/ops/test_avg_pool2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5745221Z   copying backends/arm/test/ops/test_batch_norm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5746605Z   copying backends/arm/test/ops/test_bitwise.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5747938Z   copying backends/arm/test/ops/test_bmm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5749254Z   copying backends/arm/test/ops/test_cat.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5750580Z   copying backends/arm/test/ops/test_clamp.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5751934Z   copying backends/arm/test/ops/test_clone.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5753333Z   copying backends/arm/test/ops/test_constant_pad_nd.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5754731Z   copying backends/arm/test/ops/test_conv1d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5756094Z   copying backends/arm/test/ops/test_conv2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5757476Z   copying backends/arm/test/ops/test_conv_combos.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5758908Z   copying backends/arm/test/ops/test_depthwise_conv.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5760614Z   copying backends/arm/test/ops/test_div.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5762084Z   copying backends/arm/test/ops/test_eq.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5763432Z   copying backends/arm/test/ops/test_exp.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5764758Z   copying backends/arm/test/ops/test_expand.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5766197Z   copying backends/arm/test/ops/test_floor.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5767539Z   copying backends/arm/test/ops/test_full.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5768853Z   copying backends/arm/test/ops/test_ge.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5770164Z   copying backends/arm/test/ops/test_gt.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5771529Z   copying backends/arm/test/ops/test_hardsigmoid.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5772940Z   copying backends/arm/test/ops/test_hardswish.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5774328Z   copying backends/arm/test/ops/test_hardtanh.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5775715Z   copying backends/arm/test/ops/test_layer_norm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5777058Z   copying backends/arm/test/ops/test_le.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5778385Z   copying backends/arm/test/ops/test_linear.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5779726Z   copying backends/arm/test/ops/test_log.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5781075Z   copying backends/arm/test/ops/test_logical.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5782465Z   copying backends/arm/test/ops/test_logsoftmax.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5783832Z   copying backends/arm/test/ops/test_lt.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5785162Z   copying backends/arm/test/ops/test_max_pool.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5786530Z   copying backends/arm/test/ops/test_maximum.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5787902Z   copying backends/arm/test/ops/test_mean_dim.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5789274Z   copying backends/arm/test/ops/test_minimum.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5790622Z   copying backends/arm/test/ops/test_mm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5791930Z   copying backends/arm/test/ops/test_mul.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5793272Z   copying backends/arm/test/ops/test_permute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5794655Z   copying backends/arm/test/ops/test_reciprocal.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5796027Z   copying backends/arm/test/ops/test_relu.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5797374Z   copying backends/arm/test/ops/test_repeat.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5798950Z   copying backends/arm/test/ops/test_rshift.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5800411Z   copying backends/arm/test/ops/test_rsqrt.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5801801Z   copying backends/arm/test/ops/test_scalars.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5803169Z   copying backends/arm/test/ops/test_select.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5804524Z   copying backends/arm/test/ops/test_sigmoid.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5806020Z   copying backends/arm/test/ops/test_sigmoid_16bit.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5807460Z   copying backends/arm/test/ops/test_sigmoid_32bit.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5808855Z   copying backends/arm/test/ops/test_slice.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5810222Z   copying backends/arm/test/ops/test_softmax.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5811581Z   copying backends/arm/test/ops/test_split.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5882863Z   copying backends/arm/test/ops/test_squeeze.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5884275Z   copying backends/arm/test/ops/test_sub.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5885584Z   copying backends/arm/test/ops/test_sum.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5886984Z   copying backends/arm/test/ops/test_tanh.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5888331Z   copying backends/arm/test/ops/test_to_copy.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5889713Z   copying backends/arm/test/ops/test_unsqueeze.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5891162Z   copying backends/arm/test/ops/test_upsample_nearest2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5892566Z   copying backends/arm/test/ops/test_var.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5893886Z   copying backends/arm/test/ops/test_view.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:21:14.5895026Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:21:14.5896285Z   copying backends/arm/test/passes/test_cast_int64_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:21:14.5897842Z   copying backends/arm/test/passes/test_convert_to_clamp.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:21:14.5899363Z   copying backends/arm/test/passes/test_fold_qdq_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:21:14.5900912Z   copying backends/arm/test/passes/test_fuse_batchnorm_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:21:14.5902512Z   copying backends/arm/test/passes/test_fuse_constant_ops_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:21:14.5904121Z   copying backends/arm/test/passes/test_insert_table_ops_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:21:14.5906098Z   copying backends/arm/test/passes/test_ioquantization_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:21:14.5907952Z   copying backends/arm/test/passes/test_meandim_to_averagepool2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:21:14.5909579Z   copying backends/arm/test/passes/test_rescale_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:21:14.5911190Z   copying backends/arm/test/passes/test_unsqueeze_before_repeat_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:21:14.5912537Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/quantizer
2025-03-21T20:21:14.5913870Z   copying backends/arm/test/quantizer/test_generic_annotater.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/quantizer
2025-03-21T20:21:14.5915176Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/tester
2025-03-21T20:21:14.5916359Z   copying backends/arm/test/tester/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/tester
2025-03-21T20:21:14.5917844Z   copying backends/arm/test/tester/analyze_output_utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/tester
2025-03-21T20:21:14.5919342Z   copying backends/arm/test/tester/arm_tester.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/tester
2025-03-21T20:21:14.5920803Z   copying backends/arm/test/tester/test_pipeline.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/tester
2025-03-21T20:21:14.5922025Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/tosautil
2025-03-21T20:21:14.5923240Z   copying backends/arm/test/tosautil/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/tosautil
2025-03-21T20:21:14.5924562Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib
2025-03-21T20:21:14.5926217Z   copying backends/arm/third-party/serialization_lib/setup.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib
2025-03-21T20:21:14.5927868Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/serializer
2025-03-21T20:21:14.5929755Z   copying backends/arm/third-party/serialization_lib/python/serializer/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/serializer
2025-03-21T20:21:14.5932139Z   copying backends/arm/third-party/serialization_lib/python/serializer/tosa_serializer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/serializer
2025-03-21T20:21:14.5934047Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:14.5936009Z   copying backends/arm/third-party/serialization_lib/python/tosa/ArithmeticRightShiftAttribute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:14.5938426Z   copying backends/arm/third-party/serialization_lib/python/tosa/Attribute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:14.5940836Z   copying backends/arm/third-party/serialization_lib/python/tosa/AxisAttribute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:14.5943130Z   copying backends/arm/third-party/serialization_lib/python/tosa/ClampAttribute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:14.5945437Z   copying backends/arm/third-party/serialization_lib/python/tosa/CondIfAttribute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:14.5948006Z   copying backends/arm/third-party/serialization_lib/python/tosa/ConvAttribute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:14.5950503Z   copying backends/arm/third-party/serialization_lib/python/tosa/CustomAttribute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:14.5952784Z   copying backends/arm/third-party/serialization_lib/python/tosa/DType.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:14.5955015Z   copying backends/arm/third-party/serialization_lib/python/tosa/FFTAttribute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:14.5957392Z   copying backends/arm/third-party/serialization_lib/python/tosa/FullyConnectedAttribute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:14.5959796Z   copying backends/arm/third-party/serialization_lib/python/tosa/MatMulAttribute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:14.5962105Z   copying backends/arm/third-party/serialization_lib/python/tosa/MulAttribute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:14.5964408Z   copying backends/arm/third-party/serialization_lib/python/tosa/NegateAttribute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:14.5966715Z   copying backends/arm/third-party/serialization_lib/python/tosa/Op.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:14.5968919Z   copying backends/arm/third-party/serialization_lib/python/tosa/PadAttribute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:14.5971219Z   copying backends/arm/third-party/serialization_lib/python/tosa/PoolAttribute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:14.5973517Z   copying backends/arm/third-party/serialization_lib/python/tosa/RFFTAttribute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:14.5975833Z   copying backends/arm/third-party/serialization_lib/python/tosa/RescaleAttribute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:14.5978170Z   copying backends/arm/third-party/serialization_lib/python/tosa/ReshapeAttribute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:14.6055771Z   copying backends/arm/third-party/serialization_lib/python/tosa/ResizeAttribute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:14.6058147Z   copying backends/arm/third-party/serialization_lib/python/tosa/ResizeMode.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:14.6060417Z   copying backends/arm/third-party/serialization_lib/python/tosa/SliceAttribute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:14.6062722Z   copying backends/arm/third-party/serialization_lib/python/tosa/TableAttribute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:14.6065020Z   copying backends/arm/third-party/serialization_lib/python/tosa/TileAttribute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:14.6067886Z   copying backends/arm/third-party/serialization_lib/python/tosa/TosaBasicBlock.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:14.6070192Z   copying backends/arm/third-party/serialization_lib/python/tosa/TosaGraph.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:14.6072452Z   copying backends/arm/third-party/serialization_lib/python/tosa/TosaOperator.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:14.6074722Z   copying backends/arm/third-party/serialization_lib/python/tosa/TosaRegion.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:14.6076956Z   copying backends/arm/third-party/serialization_lib/python/tosa/TosaTensor.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:14.6079280Z   copying backends/arm/third-party/serialization_lib/python/tosa/TransposeAttribute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:14.6081685Z   copying backends/arm/third-party/serialization_lib/python/tosa/TransposeConvAttribute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:14.6084002Z   copying backends/arm/third-party/serialization_lib/python/tosa/Version.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:14.6086386Z   copying backends/arm/third-party/serialization_lib/python/tosa/WhileLoopAttribute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:14.6088687Z   copying backends/arm/third-party/serialization_lib/python/tosa/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:14.6090459Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/test/scripts
2025-03-21T20:21:14.6092285Z   copying backends/arm/third-party/serialization_lib/test/scripts/test_npy_fileio.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/test/scripts
2025-03-21T20:21:14.6094147Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/test/scripts/xunit
2025-03-21T20:21:14.6096053Z   copying backends/arm/third-party/serialization_lib/test/scripts/xunit/xunit.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/test/scripts/xunit
2025-03-21T20:21:14.6097676Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:14.6098791Z   copying backends/cadence/aot/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:14.6100088Z   copying backends/cadence/aot/compiler.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:14.6101441Z   copying backends/cadence/aot/compiler_utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:14.6102816Z   copying backends/cadence/aot/export_example.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:14.6104152Z   copying backends/cadence/aot/fuse_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:14.6105485Z   copying backends/cadence/aot/graph_builder.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:14.6106883Z   copying backends/cadence/aot/memory_constraints.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:14.6108465Z   copying backends/cadence/aot/memory_planning.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:14.6109969Z   copying backends/cadence/aot/ops_registrations.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:14.6111369Z   copying backends/cadence/aot/pass_utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:14.6112663Z   copying backends/cadence/aot/passes.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:14.6114007Z   copying backends/cadence/aot/ref_implementations.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:14.6115385Z   copying backends/cadence/aot/remove_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:14.6116707Z   copying backends/cadence/aot/reorder_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:14.6118048Z   copying backends/cadence/aot/replace_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:14.6119390Z   copying backends/cadence/aot/simplify_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:14.6120695Z   copying backends/cadence/aot/utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:14.6121798Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/runtime
2025-03-21T20:21:14.6122956Z   copying backends/cadence/runtime/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/runtime
2025-03-21T20:21:14.6124357Z   copying backends/cadence/runtime/executor.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/runtime
2025-03-21T20:21:14.6125874Z   copying backends/cadence/runtime/runtime.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/runtime
2025-03-21T20:21:14.6127294Z   copying backends/cadence/runtime/utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/runtime
2025-03-21T20:21:14.6128458Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils
2025-03-21T20:21:14.6129616Z   copying backends/cadence/utils/facto_util.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils
2025-03-21T20:21:14.6130990Z   copying backends/cadence/utils/gen_header.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils
2025-03-21T20:21:14.6132399Z   copying backends/cadence/utils/post_compilation.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils
2025-03-21T20:21:14.6133633Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/quantizer
2025-03-21T20:21:14.6134955Z   copying backends/cadence/aot/quantizer/fusion_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/quantizer
2025-03-21T20:21:14.6136566Z   copying backends/cadence/aot/quantizer/patterns.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/quantizer
2025-03-21T20:21:14.6138176Z   copying backends/cadence/aot/quantizer/quantizer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/quantizer
2025-03-21T20:21:14.6139926Z   copying backends/cadence/aot/quantizer/utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/quantizer
2025-03-21T20:21:14.6141198Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/tests
2025-03-21T20:21:14.6142485Z   copying backends/cadence/aot/tests/test_fusion_ops_passes.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/tests
2025-03-21T20:21:14.6144074Z   copying backends/cadence/aot/tests/test_graph_builder.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/tests
2025-03-21T20:21:14.6145936Z   copying backends/cadence/aot/tests/test_memory_passes.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/tests
2025-03-21T20:21:14.6147644Z   copying backends/cadence/aot/tests/test_pass_filter.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/tests
2025-03-21T20:21:14.6149273Z   copying backends/cadence/aot/tests/test_remove_ops_passes.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/tests
2025-03-21T20:21:14.6150903Z   copying backends/cadence/aot/tests/test_reorder_ops_passes.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/tests
2025-03-21T20:21:14.6212098Z   copying backends/cadence/aot/tests/test_replace_ops_passes.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/tests
2025-03-21T20:21:14.6213761Z   copying backends/cadence/aot/tests/test_simplify_ops_passes.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/tests
2025-03-21T20:21:14.6215098Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO
2025-03-21T20:21:14.6216343Z   copying backends/cadence/utils/FACTO/setup.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO
2025-03-21T20:21:14.6217675Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/calibrator
2025-03-21T20:21:14.6219173Z   copying backends/cadence/utils/FACTO/calibrator/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/calibrator
2025-03-21T20:21:14.6220975Z   copying backends/cadence/utils/FACTO/calibrator/runner.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/calibrator
2025-03-21T20:21:14.6222440Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/examples
2025-03-21T20:21:14.6223898Z   copying backends/cadence/utils/FACTO/examples/example.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/examples
2025-03-21T20:21:14.6225737Z   copying backends/cadence/utils/FACTO/examples/minimal_example.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/examples
2025-03-21T20:21:14.6227587Z   copying backends/cadence/utils/FACTO/examples/random_seed.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/examples
2025-03-21T20:21:14.6229174Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto
2025-03-21T20:21:14.6230549Z   copying backends/cadence/utils/FACTO/facto/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto
2025-03-21T20:21:14.6231977Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen
2025-03-21T20:21:14.6233542Z   copying backends/cadence/utils/FACTO/facto/inputgen/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen
2025-03-21T20:21:14.6235102Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb
2025-03-21T20:21:14.6236624Z   copying backends/cadence/utils/FACTO/facto/specdb/db.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb
2025-03-21T20:21:14.6238492Z   copying backends/cadence/utils/FACTO/facto/specdb/default.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb
2025-03-21T20:21:14.6240547Z   copying backends/cadence/utils/FACTO/facto/specdb/dtypes.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb
2025-03-21T20:21:14.6242444Z   copying backends/cadence/utils/FACTO/facto/specdb/function.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb
2025-03-21T20:21:14.6244066Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple
2025-03-21T20:21:14.6246351Z   copying backends/cadence/utils/FACTO/facto/inputgen/argtuple/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple
2025-03-21T20:21:14.6248739Z   copying backends/cadence/utils/FACTO/facto/inputgen/argtuple/engine.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple
2025-03-21T20:21:14.6250967Z   copying backends/cadence/utils/FACTO/facto/inputgen/argtuple/gen.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple
2025-03-21T20:21:14.6252719Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument
2025-03-21T20:21:14.6254482Z   copying backends/cadence/utils/FACTO/facto/inputgen/argument/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument
2025-03-21T20:21:14.6256681Z   copying backends/cadence/utils/FACTO/facto/inputgen/argument/engine.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument
2025-03-21T20:21:14.6258887Z   copying backends/cadence/utils/FACTO/facto/inputgen/argument/gen.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument
2025-03-21T20:21:14.6261060Z   copying backends/cadence/utils/FACTO/facto/inputgen/argument/type.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument
2025-03-21T20:21:14.6262835Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute
2025-03-21T20:21:14.6264634Z   copying backends/cadence/utils/FACTO/facto/inputgen/attribute/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute
2025-03-21T20:21:14.6266876Z   copying backends/cadence/utils/FACTO/facto/inputgen/attribute/engine.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute
2025-03-21T20:21:14.6269139Z   copying backends/cadence/utils/FACTO/facto/inputgen/attribute/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute
2025-03-21T20:21:14.6271383Z   copying backends/cadence/utils/FACTO/facto/inputgen/attribute/solve.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute
2025-03-21T20:21:14.6273156Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/specs
2025-03-21T20:21:14.6274847Z   copying backends/cadence/utils/FACTO/facto/inputgen/specs/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/specs
2025-03-21T20:21:14.6276948Z   copying backends/cadence/utils/FACTO/facto/inputgen/specs/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/specs
2025-03-21T20:21:14.6278650Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/utils
2025-03-21T20:21:14.6280352Z   copying backends/cadence/utils/FACTO/facto/inputgen/utils/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/utils
2025-03-21T20:21:14.6282508Z   copying backends/cadence/utils/FACTO/facto/inputgen/utils/random_manager.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/utils
2025-03-21T20:21:14.6284289Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
2025-03-21T20:21:14.6286140Z   copying backends/cadence/utils/FACTO/facto/inputgen/variable/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
2025-03-21T20:21:14.6288374Z   copying backends/cadence/utils/FACTO/facto/inputgen/variable/constants.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
2025-03-21T20:21:14.6290884Z   copying backends/cadence/utils/FACTO/facto/inputgen/variable/gen.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
2025-03-21T20:21:14.6293087Z   copying backends/cadence/utils/FACTO/facto/inputgen/variable/solve.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
2025-03-21T20:21:14.6295300Z   copying backends/cadence/utils/FACTO/facto/inputgen/variable/space.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
2025-03-21T20:21:14.6297492Z   copying backends/cadence/utils/FACTO/facto/inputgen/variable/type.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
2025-03-21T20:21:14.6299695Z   copying backends/cadence/utils/FACTO/facto/inputgen/variable/utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
2025-03-21T20:21:14.6301405Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:21:14.6303043Z   copying backends/cadence/utils/FACTO/test/inputgen/test_argtuple_engine.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:21:14.6305133Z   copying backends/cadence/utils/FACTO/test/inputgen/test_argtuple_generator.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:21:14.6307243Z   copying backends/cadence/utils/FACTO/test/inputgen/test_argument_attributes.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:21:14.6309348Z   copying backends/cadence/utils/FACTO/test/inputgen/test_argument_generator.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:21:14.6370544Z   copying backends/cadence/utils/FACTO/test/inputgen/test_argument_types.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:21:14.6372695Z   copying backends/cadence/utils/FACTO/test/inputgen/test_attribute_engine.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:21:14.6374764Z   copying backends/cadence/utils/FACTO/test/inputgen/test_attribute_solver.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:21:14.6376815Z   copying backends/cadence/utils/FACTO/test/inputgen/test_constraints.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:21:14.6378856Z   copying backends/cadence/utils/FACTO/test/inputgen/test_meta_arg_engine.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:21:14.6380856Z   copying backends/cadence/utils/FACTO/test/inputgen/test_specs.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:21:14.6382877Z   copying backends/cadence/utils/FACTO/test/inputgen/test_structural_engine.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:21:14.6384973Z   copying backends/cadence/utils/FACTO/test/inputgen/test_variable_generation.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:21:14.6387062Z   copying backends/cadence/utils/FACTO/test/inputgen/test_variable_solving.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:21:14.6389119Z   copying backends/cadence/utils/FACTO/test/inputgen/test_variable_space.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:21:14.6391542Z   copying backends/cadence/utils/FACTO/test/inputgen/test_variable_types.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:21:14.6393391Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_backend_delegate_passes
2025-03-21T20:21:14.6395114Z   copying backends/example/example_backend_delegate_passes/merge_to_dim_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_backend_delegate_passes
2025-03-21T20:21:14.6397278Z   copying backends/example/example_backend_delegate_passes/permute_memory_formats_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_backend_delegate_passes
2025-03-21T20:21:14.6399017Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:21:14.6400478Z   copying backends/example/example_operators/adaptive_avg_pool2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:21:14.6402194Z   copying backends/example/example_operators/add.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:21:14.6403850Z   copying backends/example/example_operators/conv2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:21:14.6405520Z   copying backends/example/example_operators/conv_relu.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:21:14.6407377Z   copying backends/example/example_operators/dropout.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:21:14.6409053Z   copying backends/example/example_operators/flatten.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:21:14.6410734Z   copying backends/example/example_operators/linear.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:21:14.6412432Z   copying backends/example/example_operators/op_base.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:21:14.6414064Z   copying backends/example/example_operators/ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:21:14.6415690Z   copying backends/example/example_operators/utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:21:14.6417001Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/mediatek/_passes
2025-03-21T20:21:14.6418202Z   copying backends/mediatek/_passes/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/mediatek/_passes
2025-03-21T20:21:14.6419785Z   copying backends/mediatek/_passes/decompose_scaled_dot_product_attention.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/mediatek/_passes
2025-03-21T20:21:14.6421180Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/mediatek/quantizer
2025-03-21T20:21:14.6422414Z   copying backends/mediatek/quantizer/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/mediatek/quantizer
2025-03-21T20:21:14.6423914Z   copying backends/mediatek/quantizer/annotator.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/mediatek/quantizer
2025-03-21T20:21:14.6425443Z   copying backends/mediatek/quantizer/qconfig.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/mediatek/quantizer
2025-03-21T20:21:14.6426969Z   copying backends/mediatek/quantizer/quantizer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/mediatek/quantizer
2025-03-21T20:21:14.6428236Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:14.6429427Z   copying backends/qualcomm/_passes/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:14.6431124Z   copying backends/qualcomm/_passes/annotate_decomposed.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:14.6432826Z   copying backends/qualcomm/_passes/annotate_quant_attrs.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:14.6434366Z   copying backends/qualcomm/_passes/build_quant_io.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:14.6435863Z   copying backends/qualcomm/_passes/constant_i64_to_i32.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:14.6437396Z   copying backends/qualcomm/_passes/convert_bmm_to_matmul.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:14.6439044Z   copying backends/qualcomm/_passes/convert_interpolate_with_upsample2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:14.6440925Z   copying backends/qualcomm/_passes/convert_to_linear.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:14.6442438Z   copying backends/qualcomm/_passes/decompose_any.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:14.6443952Z   copying backends/qualcomm/_passes/decompose_einsum.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:14.6445551Z   copying backends/qualcomm/_passes/decompose_linalg_vector_norm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:14.6447209Z   copying backends/qualcomm/_passes/decompose_silu.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:14.6448792Z   copying backends/qualcomm/_passes/expand_broadcast_tensor_shape.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:14.6450334Z   copying backends/qualcomm/_passes/fold_qdq.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:14.6451869Z   copying backends/qualcomm/_passes/fuse_consecutive_transpose.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:14.6453434Z   copying backends/qualcomm/_passes/insert_io_qdq.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:14.6454936Z   copying backends/qualcomm/_passes/insert_requantize.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:14.6456472Z   copying backends/qualcomm/_passes/layout_transform.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:14.6458067Z   copying backends/qualcomm/_passes/lift_constant_scalar_operands.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:14.6459711Z   copying backends/qualcomm/_passes/recompose_pixel_unshuffle.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:14.6461291Z   copying backends/qualcomm/_passes/recompose_prelu.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:14.6462826Z   copying backends/qualcomm/_passes/recompose_rms_norm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:14.6464374Z   copying backends/qualcomm/_passes/reduce_dynamic_range.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:14.6545827Z   copying backends/qualcomm/_passes/remove_redundancy.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:14.6547453Z   copying backends/qualcomm/_passes/replace_index_put_input.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:14.6549011Z   copying backends/qualcomm/_passes/replace_inf_buffer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:14.6550917Z   copying backends/qualcomm/_passes/tensor_i64_to_i32.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:14.6552581Z   copying backends/qualcomm/_passes/utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:21:14.6553788Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6555004Z   copying backends/qualcomm/builders/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6556486Z   copying backends/qualcomm/builders/node_visitor.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6558015Z   copying backends/qualcomm/builders/op_abs.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6559542Z   copying backends/qualcomm/builders/op_adaptive_avg_pool2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6561077Z   copying backends/qualcomm/builders/op_add.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6562533Z   copying backends/qualcomm/builders/op_arange.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6563996Z   copying backends/qualcomm/builders/op_argmin.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6565491Z   copying backends/qualcomm/builders/op_avg_pool2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6567110Z   copying backends/qualcomm/builders/op_batch_norm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6568598Z   copying backends/qualcomm/builders/op_bmm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6570042Z   copying backends/qualcomm/builders/op_cat.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6571493Z   copying backends/qualcomm/builders/op_ceil.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6572951Z   copying backends/qualcomm/builders/op_clamp.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6574424Z   copying backends/qualcomm/builders/op_conv2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6575870Z   copying backends/qualcomm/builders/op_cos.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6577370Z   copying backends/qualcomm/builders/op_depth_to_space.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6578920Z   copying backends/qualcomm/builders/op_dequantize.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6580428Z   copying backends/qualcomm/builders/op_div.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6581915Z   copying backends/qualcomm/builders/op_embedding.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6583394Z   copying backends/qualcomm/builders/op_eq.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6584848Z   copying backends/qualcomm/builders/op_expand.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6586312Z   copying backends/qualcomm/builders/op_full.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6587790Z   copying backends/qualcomm/builders/op_full_like.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6589428Z   copying backends/qualcomm/builders/op_ge.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6590964Z   copying backends/qualcomm/builders/op_gelu.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6592486Z   copying backends/qualcomm/builders/op_group_norm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6593971Z   copying backends/qualcomm/builders/op_gt.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6595470Z   copying backends/qualcomm/builders/op_hardsigmoid.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6597009Z   copying backends/qualcomm/builders/op_hardswish.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6598517Z   copying backends/qualcomm/builders/op_hardtanh.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6600008Z   copying backends/qualcomm/builders/op_index.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6601493Z   copying backends/qualcomm/builders/op_index_put.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6603025Z   copying backends/qualcomm/builders/op_instance_norm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6604560Z   copying backends/qualcomm/builders/op_layer_norm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6606122Z   copying backends/qualcomm/builders/op_le.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6607584Z   copying backends/qualcomm/builders/op_linear.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6609038Z   copying backends/qualcomm/builders/op_log.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6610525Z   copying backends/qualcomm/builders/op_log_softmax.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6612050Z   copying backends/qualcomm/builders/op_logical_not.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6613556Z   copying backends/qualcomm/builders/op_lt.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6615009Z   copying backends/qualcomm/builders/op_matmul.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6616468Z   copying backends/qualcomm/builders/op_max.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6617951Z   copying backends/qualcomm/builders/op_max_pool2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6619465Z   copying backends/qualcomm/builders/op_mean_dim.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6620917Z   copying backends/qualcomm/builders/op_min.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6622356Z   copying backends/qualcomm/builders/op_mul.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6623788Z   copying backends/qualcomm/builders/op_ne.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6625218Z   copying backends/qualcomm/builders/op_neg.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6626646Z   copying backends/qualcomm/builders/op_or.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6628255Z   copying backends/qualcomm/builders/op_pad.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6629786Z   copying backends/qualcomm/builders/op_pow.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6631252Z   copying backends/qualcomm/builders/op_prelu.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6632735Z   copying backends/qualcomm/builders/op_quantize.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6634193Z   copying backends/qualcomm/builders/op_relu.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6635645Z   copying backends/qualcomm/builders/op_repeat.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6637127Z   copying backends/qualcomm/builders/op_reshape.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6638610Z   copying backends/qualcomm/builders/op_rms_norm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6735660Z   copying backends/qualcomm/builders/op_rsqrt.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6737231Z   copying backends/qualcomm/builders/op_select_copy.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6738749Z   copying backends/qualcomm/builders/op_sigmoid.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6740371Z   copying backends/qualcomm/builders/op_sin.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6741841Z   copying backends/qualcomm/builders/op_skip_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6743377Z   copying backends/qualcomm/builders/op_slice_copy.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6744890Z   copying backends/qualcomm/builders/op_softmax.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6746414Z   copying backends/qualcomm/builders/op_space_to_depth.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6747977Z   copying backends/qualcomm/builders/op_split_with_sizes.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6749493Z   copying backends/qualcomm/builders/op_sqrt.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6750957Z   copying backends/qualcomm/builders/op_squeeze.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6752435Z   copying backends/qualcomm/builders/op_sub.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6753931Z   copying backends/qualcomm/builders/op_sum_int_list.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6755417Z   copying backends/qualcomm/builders/op_tanh.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6756876Z   copying backends/qualcomm/builders/op_to.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6758373Z   copying backends/qualcomm/builders/op_topk.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6759856Z   copying backends/qualcomm/builders/op_transpose.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6761386Z   copying backends/qualcomm/builders/op_unsqueeze.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6763400Z   copying backends/qualcomm/builders/op_upsample_bilinear2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6765263Z   copying backends/qualcomm/builders/op_upsample_nearest2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6766946Z   copying backends/qualcomm/builders/op_where.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6768445Z   copying backends/qualcomm/builders/qnn_constants.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6769936Z   copying backends/qualcomm/builders/utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:21:14.6771163Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/debugger
2025-03-21T20:21:14.6772397Z   copying backends/qualcomm/debugger/utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/debugger
2025-03-21T20:21:14.6773617Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/partition
2025-03-21T20:21:14.6774901Z   copying backends/qualcomm/partition/common_defs.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/partition
2025-03-21T20:21:14.6776479Z   copying backends/qualcomm/partition/qnn_partitioner.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/partition
2025-03-21T20:21:14.6778066Z   copying backends/qualcomm/partition/utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/partition
2025-03-21T20:21:14.6779292Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/quantizer
2025-03-21T20:21:14.6780569Z   copying backends/qualcomm/quantizer/annotators.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/quantizer
2025-03-21T20:21:14.6782166Z   copying backends/qualcomm/quantizer/custom_annotation.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/quantizer
2025-03-21T20:21:14.6783731Z   copying backends/qualcomm/quantizer/qconfig.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/quantizer
2025-03-21T20:21:14.6785245Z   copying backends/qualcomm/quantizer/quantizer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/quantizer
2025-03-21T20:21:14.6786529Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/serialization
2025-03-21T20:21:14.6787858Z   copying backends/qualcomm/serialization/qc_schema.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/serialization
2025-03-21T20:21:14.6789534Z   copying backends/qualcomm/serialization/qc_schema_serialize.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/serialization
2025-03-21T20:21:14.6790876Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/tests
2025-03-21T20:21:14.6792052Z   copying backends/qualcomm/tests/models.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/tests
2025-03-21T20:21:14.6793497Z   copying backends/qualcomm/tests/test_qnn_delegate.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/tests
2025-03-21T20:21:14.6794919Z   copying backends/qualcomm/tests/utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/tests
2025-03-21T20:21:14.6796077Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/utils
2025-03-21T20:21:14.6797271Z   copying backends/qualcomm/utils/constants.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/utils
2025-03-21T20:21:14.6798664Z   copying backends/qualcomm/utils/utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/utils
2025-03-21T20:21:14.6799912Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/quantizer/observers
2025-03-21T20:21:14.6801676Z   copying backends/qualcomm/quantizer/observers/per_channel_param_observer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/quantizer/observers
2025-03-21T20:21:14.6803258Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/transforms/test
2025-03-21T20:21:14.6804679Z   copying backends/transforms/test/test_create_delete_constant_placeholder.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/transforms/test
2025-03-21T20:21:14.6806674Z   copying backends/transforms/test/test_duplicate_dynamic_quant_chain.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/transforms/test
2025-03-21T20:21:14.6808353Z   copying backends/transforms/test/test_rank_0_to_rank_1.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/transforms/test
2025-03-21T20:21:14.6809718Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/_passes
2025-03-21T20:21:14.6810992Z   copying backends/vulkan/_passes/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/_passes
2025-03-21T20:21:14.6812481Z   copying backends/vulkan/_passes/insert_prepack_nodes.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/_passes
2025-03-21T20:21:14.6814131Z   copying backends/vulkan/_passes/int4_weight_only_quantizer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/_passes
2025-03-21T20:21:14.6815732Z   copying backends/vulkan/_passes/remove_asserts.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/_passes
2025-03-21T20:21:14.6817308Z   copying backends/vulkan/_passes/remove_local_scalar_dense_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/_passes
2025-03-21T20:21:14.6818864Z   copying backends/vulkan/_passes/remove_redundant_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/_passes
2025-03-21T20:21:14.6820434Z   copying backends/vulkan/_passes/squeeze_unsqueeze_inputs.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/_passes
2025-03-21T20:21:14.6822027Z   copying backends/vulkan/_passes/tag_memory_meta_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/_passes
2025-03-21T20:21:14.6823353Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/partitioner
2025-03-21T20:21:14.6824775Z   copying backends/vulkan/partitioner/vulkan_partitioner.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/partitioner
2025-03-21T20:21:14.6826251Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/quantizer
2025-03-21T20:21:14.6827589Z   copying backends/vulkan/quantizer/vulkan_quantizer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/quantizer
2025-03-21T20:21:14.6828967Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime
2025-03-21T20:21:14.6830311Z   copying backends/vulkan/runtime/gen_vulkan_spv.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime
2025-03-21T20:21:14.6959952Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/serialization
2025-03-21T20:21:14.6961479Z   copying backends/vulkan/serialization/vulkan_graph_builder.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/serialization
2025-03-21T20:21:14.6963188Z   copying backends/vulkan/serialization/vulkan_graph_schema.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/serialization
2025-03-21T20:21:14.6964902Z   copying backends/vulkan/serialization/vulkan_graph_serialize.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/serialization
2025-03-21T20:21:14.6966299Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test
2025-03-21T20:21:14.6967474Z   copying backends/vulkan/test/test_serialization.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test
2025-03-21T20:21:14.6968914Z   copying backends/vulkan/test/test_vulkan_delegate.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test
2025-03-21T20:21:14.6970788Z   copying backends/vulkan/test/test_vulkan_delegate_header.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test
2025-03-21T20:21:14.6972300Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test/op_tests
2025-03-21T20:21:14.6973584Z   copying backends/vulkan/test/op_tests/cases.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test/op_tests
2025-03-21T20:21:14.6975167Z   copying backends/vulkan/test/op_tests/generate_op_benchmarks.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test/op_tests
2025-03-21T20:21:14.6976887Z   copying backends/vulkan/test/op_tests/generate_op_correctness_tests.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test/op_tests
2025-03-21T20:21:14.6978312Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test/op_tests/utils
2025-03-21T20:21:14.6979714Z   copying backends/vulkan/test/op_tests/utils/aten_types.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test/op_tests/utils
2025-03-21T20:21:14.6981443Z   copying backends/vulkan/test/op_tests/utils/gen_benchmark_vk.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test/op_tests/utils
2025-03-21T20:21:14.6983205Z   copying backends/vulkan/test/op_tests/utils/gen_computegraph.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test/op_tests/utils
2025-03-21T20:21:14.6984998Z   copying backends/vulkan/test/op_tests/utils/gen_correctness_base.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test/op_tests/utils
2025-03-21T20:21:14.6986787Z   copying backends/vulkan/test/op_tests/utils/gen_correctness_vk.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test/op_tests/utils
2025-03-21T20:21:14.6988522Z   copying backends/vulkan/test/op_tests/utils/test_suite.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test/op_tests/utils
2025-03-21T20:21:14.6989907Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/third-party/volk
2025-03-21T20:21:14.6991266Z   copying backends/vulkan/third-party/volk/generate.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/third-party/volk
2025-03-21T20:21:14.6992736Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-03-21T20:21:14.6994527Z   copying backends/vulkan/third-party/Vulkan-Headers/registry/apiconventions.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-03-21T20:21:14.6996749Z   copying backends/vulkan/third-party/Vulkan-Headers/registry/cgenerator.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-03-21T20:21:14.6998938Z   copying backends/vulkan/third-party/Vulkan-Headers/registry/conventions.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-03-21T20:21:14.7001129Z   copying backends/vulkan/third-party/Vulkan-Headers/registry/generator.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-03-21T20:21:14.7003267Z   copying backends/vulkan/third-party/Vulkan-Headers/registry/genvk.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-03-21T20:21:14.7005352Z   copying backends/vulkan/third-party/Vulkan-Headers/registry/reg.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-03-21T20:21:14.7007603Z   copying backends/vulkan/third-party/Vulkan-Headers/registry/vkconventions.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-03-21T20:21:14.7009458Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/spec_tools
2025-03-21T20:21:14.7011596Z   copying backends/vulkan/third-party/Vulkan-Headers/registry/spec_tools/util.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/spec_tools
2025-03-21T20:21:14.7013662Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis
2025-03-21T20:21:14.7015889Z   copying backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis/GpuMemDumpVis.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis
2025-03-21T20:21:14.7017754Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:21:14.7018918Z   copying backends/xnnpack/_passes/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:21:14.7020438Z   copying backends/xnnpack/_passes/channels_last_tagged_reshape_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:21:14.7022059Z   copying backends/xnnpack/_passes/conv1d_unsqueeze_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:21:14.7023577Z   copying backends/xnnpack/_passes/convert_to_linear.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:21:14.7025046Z   copying backends/xnnpack/_passes/convert_to_sdpa.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:21:14.7026589Z   copying backends/xnnpack/_passes/convert_to_upsample_bilinear2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:21:14.7028149Z   copying backends/xnnpack/_passes/decompose_cat.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:21:14.7029640Z   copying backends/xnnpack/_passes/fuse_activation_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:21:14.7031189Z   copying backends/xnnpack/_passes/fuse_batch_norm_with_conv.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:21:14.7032729Z   copying backends/xnnpack/_passes/prelu_reshape_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:21:14.7034225Z   copying backends/xnnpack/_passes/remove_getitem_op.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:21:14.7035730Z   copying backends/xnnpack/_passes/tag_implicit_q_dq_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:21:14.7037209Z   copying backends/xnnpack/_passes/xnnpack_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:21:14.7038412Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:14.7039636Z   copying backends/xnnpack/operators/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:14.7045236Z   copying backends/xnnpack/operators/node_visitor.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:14.7046844Z   copying backends/xnnpack/operators/op_abs.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:14.7048287Z   copying backends/xnnpack/operators/op_add.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:14.7049741Z   copying backends/xnnpack/operators/op_addmm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:14.7051460Z   copying backends/xnnpack/operators/op_avg_pooling2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:14.7052958Z   copying backends/xnnpack/operators/op_bmm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:14.7054747Z   copying backends/xnnpack/operators/op_cat.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:14.7056411Z   copying backends/xnnpack/operators/op_ceiling.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:14.7057976Z   copying backends/xnnpack/operators/op_clamp.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:14.7059469Z   copying backends/xnnpack/operators/op_conv2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:14.7124651Z   copying backends/xnnpack/operators/op_div.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:14.7126364Z   copying backends/xnnpack/operators/op_dynamic_dequantize_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:14.7128064Z   copying backends/xnnpack/operators/op_dynamic_quantize_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:14.7129629Z   copying backends/xnnpack/operators/op_elu.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:14.7131086Z   copying backends/xnnpack/operators/op_floor.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:14.7132596Z   copying backends/xnnpack/operators/op_hardswish.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:14.7134117Z   copying backends/xnnpack/operators/op_hardtanh.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:14.7135636Z   copying backends/xnnpack/operators/op_leaky_relu.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:14.7137140Z   copying backends/xnnpack/operators/op_linear.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:14.7138733Z   copying backends/xnnpack/operators/op_matrix_multiplication.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:14.7140530Z   copying backends/xnnpack/operators/op_max_dim.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:14.7142046Z   copying backends/xnnpack/operators/op_max_pool2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:14.7143559Z   copying backends/xnnpack/operators/op_maximum.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:14.7145064Z   copying backends/xnnpack/operators/op_mean_dim.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:14.7146567Z   copying backends/xnnpack/operators/op_minimum.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:14.7148083Z   copying backends/xnnpack/operators/op_multiply.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:14.7149596Z   copying backends/xnnpack/operators/op_negate.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:14.7151087Z   copying backends/xnnpack/operators/op_permute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:14.7152582Z   copying backends/xnnpack/operators/op_prelu.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:14.7154100Z   copying backends/xnnpack/operators/op_quant_dequant.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:14.7155625Z   copying backends/xnnpack/operators/op_relu.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:14.7157491Z   copying backends/xnnpack/operators/op_rsqrt.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:14.7158954Z   copying backends/xnnpack/operators/op_sdpa.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:14.7160634Z   copying backends/xnnpack/operators/op_sigmoid.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:14.7162172Z   copying backends/xnnpack/operators/op_skip_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:14.7163685Z   copying backends/xnnpack/operators/op_slice_copy.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:14.7165202Z   copying backends/xnnpack/operators/op_softmax.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:14.7166782Z   copying backends/xnnpack/operators/op_square.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:14.7168308Z   copying backends/xnnpack/operators/op_square_root.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:14.7169834Z   copying backends/xnnpack/operators/op_squeeze.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:14.7171401Z   copying backends/xnnpack/operators/op_static_constant_pad.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:14.7173066Z   copying backends/xnnpack/operators/op_static_resize_bilinear_2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:14.7174632Z   copying backends/xnnpack/operators/op_sub.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:14.7176111Z   copying backends/xnnpack/operators/op_to_copy.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:14.7177624Z   copying backends/xnnpack/operators/quant_params.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:21:14.7178886Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition
2025-03-21T20:21:14.7180131Z   copying backends/xnnpack/partition/configs.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition
2025-03-21T20:21:14.7181711Z   copying backends/xnnpack/partition/xnnpack_partitioner.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition
2025-03-21T20:21:14.7183019Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/quantizer
2025-03-21T20:21:14.7184324Z   copying backends/xnnpack/quantizer/xnnpack_quantizer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/quantizer
2025-03-21T20:21:14.7185957Z   copying backends/xnnpack/quantizer/xnnpack_quantizer_utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/quantizer
2025-03-21T20:21:14.7187314Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/serialization
2025-03-21T20:21:14.7188711Z   copying backends/xnnpack/serialization/xnnpack_graph_schema.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/serialization
2025-03-21T20:21:14.7190489Z   copying backends/xnnpack/serialization/xnnpack_graph_serialize.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/serialization
2025-03-21T20:21:14.7191844Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test
2025-03-21T20:21:14.7193039Z   copying backends/xnnpack/test/test_xnnpack_utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test
2025-03-21T20:21:14.7194541Z   copying backends/xnnpack/test/test_xnnpack_utils_classes.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test
2025-03-21T20:21:14.7195814Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party
2025-03-21T20:21:14.7197470Z   copying backends/xnnpack/third-party/generate-cpuinfo-wrappers.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party
2025-03-21T20:21:14.7198931Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/utils
2025-03-21T20:21:14.7200124Z   copying backends/xnnpack/utils/configs.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/utils
2025-03-21T20:21:14.7201521Z   copying backends/xnnpack/utils/quant_utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/utils
2025-03-21T20:21:14.7202887Z   copying backends/xnnpack/utils/utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/utils
2025-03-21T20:21:14.7204294Z   copying backends/xnnpack/utils/xnnpack_constants.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/utils
2025-03-21T20:21:14.7205575Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition/config
2025-03-21T20:21:14.7207048Z   copying backends/xnnpack/partition/config/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition/config
2025-03-21T20:21:14.7208739Z   copying backends/xnnpack/partition/config/gemm_configs.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition/config
2025-03-21T20:21:14.7210519Z   copying backends/xnnpack/partition/config/generic_node_configs.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition/config
2025-03-21T20:21:14.7212298Z   copying backends/xnnpack/partition/config/node_configs.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition/config
2025-03-21T20:21:14.7214071Z   copying backends/xnnpack/partition/config/quant_affine_configs.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition/config
2025-03-21T20:21:14.7215859Z   copying backends/xnnpack/partition/config/xnnpack_config.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition/config
2025-03-21T20:21:14.7217289Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition/graphs
2025-03-21T20:21:14.7218705Z   copying backends/xnnpack/partition/graphs/bilinear_2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition/graphs
2025-03-21T20:21:14.7298635Z   copying backends/xnnpack/partition/graphs/sdpa.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition/graphs
2025-03-21T20:21:14.7324118Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:21:14.7325439Z   copying backends/xnnpack/test/models/deeplab_v3.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:21:14.7327069Z   copying backends/xnnpack/test/models/edsr.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:21:14.7328618Z   copying backends/xnnpack/test/models/emformer_rnnt.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:21:14.7330243Z   copying backends/xnnpack/test/models/inception_v3.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:21:14.7331830Z   copying backends/xnnpack/test/models/inception_v4.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:21:14.7333434Z   copying backends/xnnpack/test/models/llama2_et_example.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:21:14.7335044Z   copying backends/xnnpack/test/models/mobilebert.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:21:14.7336628Z   copying backends/xnnpack/test/models/mobilenet_v2.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:21:14.7338219Z   copying backends/xnnpack/test/models/mobilenet_v3.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:21:14.7340337Z   copying backends/xnnpack/test/models/resnet.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:21:14.7342122Z   copying backends/xnnpack/test/models/torchvision_vit.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:21:14.7343750Z   copying backends/xnnpack/test/models/very_big_model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:21:14.7345275Z   copying backends/xnnpack/test/models/w2l.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:21:14.7346492Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:14.7347718Z   copying backends/xnnpack/test/ops/test_abs.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:14.7349180Z   copying backends/xnnpack/test/ops/test_add.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:14.7350676Z   copying backends/xnnpack/test/ops/test_avgpool2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:14.7352217Z   copying backends/xnnpack/test/ops/test_bilinear2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:14.7353710Z   copying backends/xnnpack/test/ops/test_bmm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:14.7355163Z   copying backends/xnnpack/test/ops/test_cat.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:14.7356622Z   copying backends/xnnpack/test/ops/test_ceil.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:14.7358163Z   copying backends/xnnpack/test/ops/test_check_quant_params.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:14.7359716Z   copying backends/xnnpack/test/ops/test_clamp.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:14.7361202Z   copying backends/xnnpack/test/ops/test_conv1d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:14.7362688Z   copying backends/xnnpack/test/ops/test_conv2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:14.7364155Z   copying backends/xnnpack/test/ops/test_div.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:14.7365602Z   copying backends/xnnpack/test/ops/test_elu.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:14.7367161Z   copying backends/xnnpack/test/ops/test_floor.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:14.7368675Z   copying backends/xnnpack/test/ops/test_hardswish.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:14.7370205Z   copying backends/xnnpack/test/ops/test_hardtanh.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:14.7371730Z   copying backends/xnnpack/test/ops/test_leaky_relu.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:14.7373239Z   copying backends/xnnpack/test/ops/test_linear.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:14.7374715Z   copying backends/xnnpack/test/ops/test_lstm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:14.7376180Z   copying backends/xnnpack/test/ops/test_max_dim.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:14.7377676Z   copying backends/xnnpack/test/ops/test_maximum.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:14.7379459Z   copying backends/xnnpack/test/ops/test_maxpool2d.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:14.7381096Z   copying backends/xnnpack/test/ops/test_mean_dim.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:14.7382621Z   copying backends/xnnpack/test/ops/test_minimum.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:14.7384126Z   copying backends/xnnpack/test/ops/test_multiply.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:14.7385617Z   copying backends/xnnpack/test/ops/test_negate.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:14.7387105Z   copying backends/xnnpack/test/ops/test_permute.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:14.7388575Z   copying backends/xnnpack/test/ops/test_pow.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:14.7390035Z   copying backends/xnnpack/test/ops/test_prelu.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:14.7391579Z   copying backends/xnnpack/test/ops/test_quantize_per_tensor.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:14.7393144Z   copying backends/xnnpack/test/ops/test_relu.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:14.7394606Z   copying backends/xnnpack/test/ops/test_rsqrt.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:14.7396077Z   copying backends/xnnpack/test/ops/test_sdpa.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:14.7397552Z   copying backends/xnnpack/test/ops/test_sigmoid.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:14.7399061Z   copying backends/xnnpack/test/ops/test_slice_copy.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:14.7400575Z   copying backends/xnnpack/test/ops/test_softmax.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:14.7402049Z   copying backends/xnnpack/test/ops/test_sqrt.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:14.7403517Z   copying backends/xnnpack/test/ops/test_square.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:14.7405075Z   copying backends/xnnpack/test/ops/test_static_constant_pad.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:14.7406717Z   copying backends/xnnpack/test/ops/test_sub.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:14.7407953Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/passes
2025-03-21T20:21:14.7409322Z   copying backends/xnnpack/test/passes/test_activation_fusion.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/passes
2025-03-21T20:21:14.7411007Z   copying backends/xnnpack/test/passes/test_batch_norm_fusion.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/passes
2025-03-21T20:21:14.7412756Z   copying backends/xnnpack/test/passes/test_channels_last_tagged_reshape.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/passes
2025-03-21T20:21:14.7414506Z   copying backends/xnnpack/test/passes/test_convert_to_linear.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/passes
2025-03-21T20:21:14.7416193Z   copying backends/xnnpack/test/passes/test_decompose_cat_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/passes
2025-03-21T20:21:14.7482371Z   copying backends/xnnpack/test/passes/test_remove_get_item_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/passes
2025-03-21T20:21:14.7484957Z   copying backends/xnnpack/test/passes/test_tag_implicit_q_dq_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/passes
2025-03-21T20:21:14.7486482Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/quantizer
2025-03-21T20:21:14.7487906Z   copying backends/xnnpack/test/quantizer/test_pt2e_quantization.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/quantizer
2025-03-21T20:21:14.7489685Z   copying backends/xnnpack/test/quantizer/test_representation.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/quantizer
2025-03-21T20:21:14.7491450Z   copying backends/xnnpack/test/quantizer/test_xnnpack_quantizer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/quantizer
2025-03-21T20:21:14.7492911Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/serialization
2025-03-21T20:21:14.7494429Z   copying backends/xnnpack/test/serialization/test_serialization.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/serialization
2025-03-21T20:21:14.7496275Z   copying backends/xnnpack/test/serialization/test_xnnheader.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/serialization
2025-03-21T20:21:14.7497686Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/tester
2025-03-21T20:21:14.7498940Z   copying backends/xnnpack/test/tester/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/tester
2025-03-21T20:21:14.7500442Z   copying backends/xnnpack/test/tester/tester.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/tester
2025-03-21T20:21:14.7501742Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/FP16
2025-03-21T20:21:14.7503133Z   copying backends/xnnpack/third-party/FP16/configure.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/FP16
2025-03-21T20:21:14.7504543Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/FXdiv
2025-03-21T20:21:14.7505959Z   copying backends/xnnpack/third-party/FXdiv/configure.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/FXdiv
2025-03-21T20:21:14.7507376Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo
2025-03-21T20:21:14.7508823Z   copying backends/xnnpack/third-party/cpuinfo/configure.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo
2025-03-21T20:21:14.7510298Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/pthreadpool
2025-03-21T20:21:14.7511835Z   copying backends/xnnpack/third-party/pthreadpool/configure.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/pthreadpool
2025-03-21T20:21:14.7513410Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/FP16/include/fp16
2025-03-21T20:21:14.7515042Z   copying backends/xnnpack/third-party/FP16/include/fp16/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/FP16/include/fp16
2025-03-21T20:21:14.7517012Z   copying backends/xnnpack/third-party/FP16/include/fp16/avx.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/FP16/include/fp16
2025-03-21T20:21:14.7518966Z   copying backends/xnnpack/third-party/FP16/include/fp16/avx2.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/FP16/include/fp16
2025-03-21T20:21:14.7520568Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/FP16/test/peachpy
2025-03-21T20:21:14.7522200Z   copying backends/xnnpack/third-party/FP16/test/peachpy/stubs.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/FP16/test/peachpy
2025-03-21T20:21:14.7524144Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts
2025-03-21T20:21:14.7525954Z   copying backends/xnnpack/third-party/XNNPACK/scripts/check_config.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts
2025-03-21T20:21:14.7528048Z   copying backends/xnnpack/third-party/XNNPACK/scripts/check_files_changed.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts
2025-03-21T20:21:14.7530202Z   copying backends/xnnpack/third-party/XNNPACK/scripts/generate-build-identifier.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts
2025-03-21T20:21:14.7532339Z   copying backends/xnnpack/third-party/XNNPACK/scripts/sort-filenames.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts
2025-03-21T20:21:14.7533976Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:14.7535658Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-argmaxpool-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:14.7537777Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:14.7540118Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc2chw-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:14.7542322Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-multipass-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:14.7544531Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-unipass-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:14.7546699Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv2d-chw-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:14.7548793Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-gemm-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:14.7550892Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-ibilinear-chw-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:14.7553035Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-ibilinear-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:14.7555142Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-lut-norm-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:14.7557191Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-lut-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:14.7559311Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-raddexpminusmax-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:14.7561480Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-raddextexp-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:14.7563698Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-raddstoreexpminusmax-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:14.7566280Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-rdsum-benchmark.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:14.7568564Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-rdsum-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:14.7570650Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-reduce-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:14.7572713Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-spmm-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:14.7574787Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-vbinary-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:14.7576898Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-vmulcaddc-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:14.7579085Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-vscaleexpminusmax-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:14.8027294Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-vscaleextexp-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:14.8029518Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-vunary-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:14.8031504Z   copying backends/xnnpack/third-party/XNNPACK/tools/primes.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:14.8033497Z   copying backends/xnnpack/third-party/XNNPACK/tools/update-microkernels.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:14.8035469Z   copying backends/xnnpack/third-party/XNNPACK/tools/xngen.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:14.8037360Z   copying backends/xnnpack/third-party/XNNPACK/tools/xnncommon.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:14.8038930Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/scripts
2025-03-21T20:21:14.8040850Z   copying backends/xnnpack/third-party/cpuinfo/scripts/android-device-dump.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/scripts
2025-03-21T20:21:14.8043002Z   copying backends/xnnpack/third-party/cpuinfo/scripts/arm-linux-filesystem-dump.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/scripts
2025-03-21T20:21:14.8045159Z   copying backends/xnnpack/third-party/cpuinfo/scripts/parse-x86-cpuid-dump.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/scripts
2025-03-21T20:21:14.8046925Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/deps/clog
2025-03-21T20:21:14.8048579Z   copying backends/xnnpack/third-party/cpuinfo/deps/clog/configure.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/deps/clog
2025-03-21T20:21:14.8049991Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/codegen
2025-03-21T20:21:14.8050835Z   copying codegen/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/codegen
2025-03-21T20:21:14.8051721Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/codegen/tools
2025-03-21T20:21:14.8052676Z   copying codegen/tools/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/codegen/tools
2025-03-21T20:21:14.8054183Z   copying codegen/tools/gen_all_oplist.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/codegen/tools
2025-03-21T20:21:14.8055531Z   copying codegen/tools/gen_oplist.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/codegen/tools
2025-03-21T20:21:14.8057194Z   copying codegen/tools/gen_ops_def.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/codegen/tools
2025-03-21T20:21:14.8058453Z   copying codegen/tools/gen_selected_op_variants.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/codegen/tools
2025-03-21T20:21:14.8059680Z   copying codegen/tools/merge_yaml.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/codegen/tools
2025-03-21T20:21:14.8060815Z   copying codegen/tools/yaml_util.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/codegen/tools
2025-03-21T20:21:14.8061827Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/codegen/tools/test
2025-03-21T20:21:14.8062955Z   copying codegen/tools/test/test_gen_all_oplist.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/codegen/tools/test
2025-03-21T20:21:14.8064311Z   copying codegen/tools/test/test_gen_oplist.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/codegen/tools/test
2025-03-21T20:21:14.8065708Z   copying codegen/tools/test/test_gen_oplist_real_model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/codegen/tools/test
2025-03-21T20:21:14.8067171Z   copying codegen/tools/test/test_gen_selected_op_variants.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/codegen/tools/test
2025-03-21T20:21:14.8068403Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/apple/coreml/llama
2025-03-21T20:21:14.8069654Z   copying examples/apple/coreml/llama/export.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/apple/coreml/llama
2025-03-21T20:21:14.8071213Z   copying examples/apple/coreml/llama/llama_transformer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/apple/coreml/llama
2025-03-21T20:21:14.8072752Z   copying examples/apple/coreml/llama/run.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/apple/coreml/llama
2025-03-21T20:21:14.8074216Z   copying examples/apple/coreml/llama/test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/apple/coreml/llama
2025-03-21T20:21:14.8075674Z   copying examples/apple/coreml/llama/utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/apple/coreml/llama
2025-03-21T20:21:14.8076904Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/llm_pte_finetuning
2025-03-21T20:21:14.8078112Z   copying examples/llm_pte_finetuning/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/llm_pte_finetuning
2025-03-21T20:21:14.8079586Z   copying examples/llm_pte_finetuning/model_exporter.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/llm_pte_finetuning
2025-03-21T20:21:14.8081120Z   copying examples/llm_pte_finetuning/model_loading_lib.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/llm_pte_finetuning
2025-03-21T20:21:14.8082776Z   copying examples/llm_pte_finetuning/runner.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/llm_pte_finetuning
2025-03-21T20:21:14.8084257Z   copying examples/llm_pte_finetuning/training_lib.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/llm_pte_finetuning
2025-03-21T20:21:14.8085426Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models
2025-03-21T20:21:14.8086501Z   copying examples/models/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models
2025-03-21T20:21:14.8087695Z   copying examples/models/checkpoint.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models
2025-03-21T20:21:14.8088916Z   copying examples/models/model_base.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models
2025-03-21T20:21:14.8090152Z   copying examples/models/model_factory.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models
2025-03-21T20:21:14.8091535Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/deeplab_v3
2025-03-21T20:21:14.8092741Z   copying examples/models/deeplab_v3/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/deeplab_v3
2025-03-21T20:21:14.8094286Z   copying examples/models/deeplab_v3/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/deeplab_v3
2025-03-21T20:21:14.8095474Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/edsr
2025-03-21T20:21:14.8096548Z   copying examples/models/edsr/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/edsr
2025-03-21T20:21:14.8097808Z   copying examples/models/edsr/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/edsr
2025-03-21T20:21:14.8098943Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/efficient_sam
2025-03-21T20:21:14.8100205Z   copying examples/models/efficient_sam/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/efficient_sam
2025-03-21T20:21:14.8101704Z   copying examples/models/efficient_sam/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/efficient_sam
2025-03-21T20:21:14.8102957Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/emformer_rnnt
2025-03-21T20:21:14.8104207Z   copying examples/models/emformer_rnnt/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/emformer_rnnt
2025-03-21T20:21:14.8105694Z   copying examples/models/emformer_rnnt/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/emformer_rnnt
2025-03-21T20:21:14.8106933Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/inception_v3
2025-03-21T20:21:14.8108169Z   copying examples/models/inception_v3/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/inception_v3
2025-03-21T20:21:14.8109632Z   copying examples/models/inception_v3/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/inception_v3
2025-03-21T20:21:14.8110860Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/inception_v4
2025-03-21T20:21:14.8112094Z   copying examples/models/inception_v4/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/inception_v4
2025-03-21T20:21:14.8113679Z   copying examples/models/inception_v4/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/inception_v4
2025-03-21T20:21:14.8114867Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama
2025-03-21T20:21:14.8115977Z   copying examples/models/llama/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama
2025-03-21T20:21:14.8117306Z   copying examples/models/llama/attention.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama
2025-03-21T20:21:14.8118659Z   copying examples/models/llama/eval_llama.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama
2025-03-21T20:21:14.8120028Z   copying examples/models/llama/eval_llama_lib.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama
2025-03-21T20:21:14.8205869Z   copying examples/models/llama/export_llama.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama
2025-03-21T20:21:14.8207384Z   copying examples/models/llama/export_llama_lib.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama
2025-03-21T20:21:14.8208772Z   copying examples/models/llama/fairseq2.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama
2025-03-21T20:21:14.8210226Z   copying examples/models/llama/install_requirement_helper.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama
2025-03-21T20:21:14.8210834Z   copying examples/models/llama/llama_test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama
2025-03-21T20:21:14.8211577Z   copying examples/models/llama/llama_transformer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama
2025-03-21T20:21:14.8212580Z   copying examples/models/llama/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama
2025-03-21T20:21:14.8214141Z   copying examples/models/llama/model_args.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama
2025-03-21T20:21:14.8214812Z   copying examples/models/llama/norm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama
2025-03-21T20:21:14.8215383Z   copying examples/models/llama/rope.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama
2025-03-21T20:21:14.8216036Z   copying examples/models/llama/static_attention.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama
2025-03-21T20:21:14.8216487Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision
2025-03-21T20:21:14.8217174Z   copying examples/models/llama3_2_vision/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision
2025-03-21T20:21:14.8217580Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llava
2025-03-21T20:21:14.8218167Z   copying examples/models/llava/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llava
2025-03-21T20:21:14.8218794Z   copying examples/models/llava/export_llava.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llava
2025-03-21T20:21:14.8219394Z   copying examples/models/llava/image_util.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llava
2025-03-21T20:21:14.8219979Z   copying examples/models/llava/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llava
2025-03-21T20:21:14.8220359Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/lstm
2025-03-21T20:21:14.8220914Z   copying examples/models/lstm/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/lstm
2025-03-21T20:21:14.8221490Z   copying examples/models/lstm/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/lstm
2025-03-21T20:21:14.8221913Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/mobilebert
2025-03-21T20:21:14.8222567Z   copying examples/models/mobilebert/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/mobilebert
2025-03-21T20:21:14.8223220Z   copying examples/models/mobilebert/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/mobilebert
2025-03-21T20:21:14.8223649Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/mobilenet_v2
2025-03-21T20:21:14.8224306Z   copying examples/models/mobilenet_v2/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/mobilenet_v2
2025-03-21T20:21:14.8224971Z   copying examples/models/mobilenet_v2/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/mobilenet_v2
2025-03-21T20:21:14.8225405Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/mobilenet_v3
2025-03-21T20:21:14.8226077Z   copying examples/models/mobilenet_v3/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/mobilenet_v3
2025-03-21T20:21:14.8226734Z   copying examples/models/mobilenet_v3/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/mobilenet_v3
2025-03-21T20:21:14.8227183Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/phi-3-mini-lora
2025-03-21T20:21:14.8227920Z   copying examples/models/phi-3-mini-lora/export_model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/phi-3-mini-lora
2025-03-21T20:21:14.8228339Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/phi-3-mini
2025-03-21T20:21:14.8228980Z   copying examples/models/phi-3-mini/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/phi-3-mini
2025-03-21T20:21:14.8229791Z   copying examples/models/phi-3-mini/eager.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/phi-3-mini
2025-03-21T20:21:14.8230615Z   copying examples/models/phi-3-mini/export_phi-3-mini.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/phi-3-mini
2025-03-21T20:21:14.8231299Z   copying examples/models/phi-3-mini/phi_3_mini.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/phi-3-mini
2025-03-21T20:21:14.8231984Z   copying examples/models/phi-3-mini/static_cache.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/phi-3-mini
2025-03-21T20:21:14.8232411Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/phi-4-mini
2025-03-21T20:21:14.8233057Z   copying examples/models/phi-4-mini/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/phi-4-mini
2025-03-21T20:21:14.8233753Z   copying examples/models/phi-4-mini/convert_weights.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/phi-4-mini
2025-03-21T20:21:14.8234159Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/qwen2_5
2025-03-21T20:21:14.8234766Z   copying examples/models/qwen2_5/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/qwen2_5
2025-03-21T20:21:14.8235419Z   copying examples/models/qwen2_5/convert_weights.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/qwen2_5
2025-03-21T20:21:14.8235818Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/resnet
2025-03-21T20:21:14.8236412Z   copying examples/models/resnet/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/resnet
2025-03-21T20:21:14.8237016Z   copying examples/models/resnet/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/resnet
2025-03-21T20:21:14.8237393Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/test
2025-03-21T20:21:14.8237961Z   copying examples/models/test/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/test
2025-03-21T20:21:14.8238562Z   copying examples/models/test/test_export.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/test
2025-03-21T20:21:14.8239020Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/torchvision_vit
2025-03-21T20:21:14.8239958Z   copying examples/models/torchvision_vit/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/torchvision_vit
2025-03-21T20:21:14.8240683Z   copying examples/models/torchvision_vit/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/torchvision_vit
2025-03-21T20:21:14.8241103Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/toy_model
2025-03-21T20:21:14.8241721Z   copying examples/models/toy_model/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/toy_model
2025-03-21T20:21:14.8242352Z   copying examples/models/toy_model/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/toy_model
2025-03-21T20:21:14.8242773Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/wav2letter
2025-03-21T20:21:14.8243426Z   copying examples/models/wav2letter/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/wav2letter
2025-03-21T20:21:14.8244084Z   copying examples/models/wav2letter/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/wav2letter
2025-03-21T20:21:14.8244656Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core
2025-03-21T20:21:14.8245655Z   copying examples/models/efficient_sam/efficient_sam_core/build_efficient_sam.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core
2025-03-21T20:21:14.8246717Z   copying examples/models/efficient_sam/efficient_sam_core/efficient_sam.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core
2025-03-21T20:21:14.8247974Z   copying examples/models/efficient_sam/efficient_sam_core/efficient_sam_decoder.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core
2025-03-21T20:21:14.8249128Z   copying examples/models/efficient_sam/efficient_sam_core/efficient_sam_encoder.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core
2025-03-21T20:21:14.8250056Z   copying examples/models/efficient_sam/efficient_sam_core/mlp.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core
2025-03-21T20:21:14.8251047Z   copying examples/models/efficient_sam/efficient_sam_core/two_way_transformer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core
2025-03-21T20:21:14.8251492Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/evaluate
2025-03-21T20:21:14.8357581Z   copying examples/models/llama/evaluate/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/evaluate
2025-03-21T20:21:14.8358425Z   copying examples/models/llama/evaluate/eager_eval.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/evaluate
2025-03-21T20:21:14.8358906Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/experimental
2025-03-21T20:21:14.8359719Z   copying examples/models/llama/experimental/generate.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/experimental
2025-03-21T20:21:14.8360531Z   copying examples/models/llama/experimental/load_gguf_q4_0.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/experimental
2025-03-21T20:21:14.8361325Z   copying examples/models/llama/experimental/subclass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/experimental
2025-03-21T20:21:14.8362141Z   copying examples/models/llama/experimental/test_subclass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/experimental
2025-03-21T20:21:14.8362584Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/runner
2025-03-21T20:21:14.8363268Z   copying examples/models/llama/runner/eager.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/runner
2025-03-21T20:21:14.8363993Z   copying examples/models/llama/runner/generation.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/runner
2025-03-21T20:21:14.8364679Z   copying examples/models/llama/runner/native.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/runner
2025-03-21T20:21:14.8365224Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:21:14.8366167Z   copying examples/models/llama/source_transformation/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:21:14.8367145Z   copying examples/models/llama/source_transformation/apply_spin_quant_r1_r2.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:21:14.8368054Z   copying examples/models/llama/source_transformation/attention.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:21:14.8368986Z   copying examples/models/llama/source_transformation/attention_sink.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:21:14.8369858Z   copying examples/models/llama/source_transformation/lora.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:21:14.8370813Z   copying examples/models/llama/source_transformation/pre_quantization.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:21:14.8372144Z   copying examples/models/llama/source_transformation/prune_vocab.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:21:14.8373282Z   copying examples/models/llama/source_transformation/quantize.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:21:14.8374246Z   copying examples/models/llama/source_transformation/quantized_kv_cache.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:21:14.8375129Z   copying examples/models/llama/source_transformation/rms_norm.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:21:14.8375983Z   copying examples/models/llama/source_transformation/rope.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:21:14.8376839Z   copying examples/models/llama/source_transformation/sdpa.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:21:14.8377747Z   copying examples/models/llama/source_transformation/spin_quant.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:21:14.8378685Z   copying examples/models/llama/source_transformation/test_attention_sink.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:21:14.8379643Z   copying examples/models/llama/source_transformation/test_quantized_kv_cache.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:21:14.8380656Z   copying examples/models/llama/source_transformation/test_sdpa_with_quantized_kv_cache.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:21:14.8381560Z   copying examples/models/llama/source_transformation/vulkan_rope.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:21:14.8381982Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/tests
2025-03-21T20:21:14.8382808Z   copying examples/models/llama/tests/test_pre_quantization_transforms.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/tests
2025-03-21T20:21:14.8383523Z   copying examples/models/llama/tests/test_simple_sdpa.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/tests
2025-03-21T20:21:14.8384276Z   copying examples/models/llama/tests/test_static_attention.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/tests
2025-03-21T20:21:14.8384713Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/tokenizer
2025-03-21T20:21:14.8385463Z   copying examples/models/llama/tokenizer/tiktoken.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama/tokenizer
2025-03-21T20:21:14.8385993Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/preprocess
2025-03-21T20:21:14.8386839Z   copying examples/models/llama3_2_vision/preprocess/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/preprocess
2025-03-21T20:21:14.8387748Z   copying examples/models/llama3_2_vision/preprocess/export_preprocess.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/preprocess
2025-03-21T20:21:14.8388585Z   copying examples/models/llama3_2_vision/preprocess/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/preprocess
2025-03-21T20:21:14.8389485Z   copying examples/models/llama3_2_vision/preprocess/test_preprocess.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/preprocess
2025-03-21T20:21:14.8389970Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/runner
2025-03-21T20:21:14.8390925Z   copying examples/models/llama3_2_vision/runner/eager.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/runner
2025-03-21T20:21:14.8391808Z   copying examples/models/llama3_2_vision/runner/exported.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/runner
2025-03-21T20:21:14.8392658Z   copying examples/models/llama3_2_vision/runner/generation.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/runner
2025-03-21T20:21:14.8393441Z   copying examples/models/llama3_2_vision/runner/native.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/runner
2025-03-21T20:21:14.8393987Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/text_decoder
2025-03-21T20:21:14.8394835Z   copying examples/models/llama3_2_vision/text_decoder/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/text_decoder
2025-03-21T20:21:14.8395395Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/vision_encoder
2025-03-21T20:21:14.8396272Z   copying examples/models/llama3_2_vision/vision_encoder/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/vision_encoder
2025-03-21T20:21:14.8397158Z   copying examples/models/llama3_2_vision/vision_encoder/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/vision_encoder
2025-03-21T20:21:14.8397723Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/text_decoder/test
2025-03-21T20:21:14.8398644Z   copying examples/models/llama3_2_vision/text_decoder/test/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/text_decoder/test
2025-03-21T20:21:14.8399632Z   copying examples/models/llama3_2_vision/text_decoder/test/test_text_decoder.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/text_decoder/test
2025-03-21T20:21:14.8400216Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/vision_encoder/test
2025-03-21T20:21:14.8401169Z   copying examples/models/llama3_2_vision/vision_encoder/test/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/vision_encoder/test
2025-03-21T20:21:14.8584062Z   copying examples/models/llama3_2_vision/vision_encoder/test/test_vision_encoder.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/vision_encoder/test
2025-03-21T20:21:14.8584560Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llava/test
2025-03-21T20:21:14.8585248Z   copying examples/models/llava/test/test_llava.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llava/test
2025-03-21T20:21:14.8585935Z   copying examples/models/llava/test/test_pte.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llava/test
2025-03-21T20:21:14.8586400Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/moshi/mimi
2025-03-21T20:21:14.8587084Z   copying examples/models/moshi/mimi/test_mimi.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/moshi/mimi
2025-03-21T20:21:14.8587385Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:14.8587757Z   copying exir/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:14.8588153Z   copying exir/_warnings.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:14.8588522Z   copying exir/common.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:14.8588915Z   copying exir/control_flow.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:14.8589302Z   copying exir/delegate.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:14.8589712Z   copying exir/dim_order_utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:14.8590480Z   copying exir/dynamic_shape.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:14.8591026Z   copying exir/error.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
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2025-03-21T20:21:14.8591808Z   copying exir/graph_module.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:14.8592263Z   copying exir/lowered_backend_module.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
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2025-03-21T20:21:14.8593048Z   copying exir/memory_planning.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:14.8593433Z   copying exir/pass_base.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
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2025-03-21T20:21:14.8594242Z   copying exir/print_program.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
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2025-03-21T20:21:14.8595378Z   copying exir/sym_util.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:14.8595742Z   copying exir/tensor.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
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2025-03-21T20:21:14.8597235Z   copying exir/wrap.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:14.8597589Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize
2025-03-21T20:21:14.8598089Z   copying exir/_serialize/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize
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2025-03-21T20:21:14.8599087Z   copying exir/_serialize/_dataclass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize
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2025-03-21T20:21:14.8600147Z   copying exir/_serialize/_named_data_store.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize
2025-03-21T20:21:14.8600639Z   copying exir/_serialize/_program.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize
2025-03-21T20:21:14.8601162Z   copying exir/_serialize/_serialize.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize
2025-03-21T20:21:14.8601706Z   copying exir/_serialize/data_serializer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize
2025-03-21T20:21:14.8602211Z   copying exir/_serialize/padding.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize
2025-03-21T20:21:14.8602549Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend
2025-03-21T20:21:14.8603034Z   copying exir/backend/backend_api.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend
2025-03-21T20:21:14.8603564Z   copying exir/backend/backend_details.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend
2025-03-21T20:21:14.8604105Z   copying exir/backend/compile_spec_schema.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend
2025-03-21T20:21:14.8604642Z   copying exir/backend/operator_support.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend
2025-03-21T20:21:14.8605321Z   copying exir/backend/partitioner.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend
2025-03-21T20:21:14.8606050Z   copying exir/backend/utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend
2025-03-21T20:21:14.8606413Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/capture
2025-03-21T20:21:14.8606874Z   copying exir/capture/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/capture
2025-03-21T20:21:14.8607352Z   copying exir/capture/_capture.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/capture
2025-03-21T20:21:14.8607807Z   copying exir/capture/_config.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/capture
2025-03-21T20:21:14.8608269Z   copying exir/capture/_unlift.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/capture
2025-03-21T20:21:14.8608613Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects
2025-03-21T20:21:14.8609099Z   copying exir/dialects/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects
2025-03-21T20:21:14.8609555Z   copying exir/dialects/_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects
2025-03-21T20:21:14.8609889Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/emit
2025-03-21T20:21:14.8610312Z   copying exir/emit/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/emit
2025-03-21T20:21:14.8610771Z   copying exir/emit/_emit_program.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/emit
2025-03-21T20:21:14.8611207Z   copying exir/emit/_emitter.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/emit
2025-03-21T20:21:14.8611557Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/operator
2025-03-21T20:21:14.8612058Z   copying exir/operator/convert.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/operator
2025-03-21T20:21:14.8612534Z   copying exir/operator/manip.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/operator
2025-03-21T20:21:14.8613017Z   copying exir/operator/util.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/operator
2025-03-21T20:21:14.8613358Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:14.8613827Z   copying exir/passes/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:14.8614430Z   copying exir/passes/_quant_patterns_and_replacements.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:14.8614934Z   copying exir/passes/const_prop_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:14.8615474Z   copying exir/passes/constant_prop_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:14.8616059Z   copying exir/passes/debug_handle_generator_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:14.8616616Z   copying exir/passes/dim_order_ops_registry.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:14.8617184Z   copying exir/passes/dynamic_shape_prop_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:14.8617793Z   copying exir/passes/executorch_prim_ops_registry.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:14.8618366Z   copying exir/passes/external_constants_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:14.8618893Z   copying exir/passes/init_mutable_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:14.8619509Z   copying exir/passes/insert_write_back_for_buffers_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:14.8620065Z   copying exir/passes/memory_format_ops_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:14.8620611Z   copying exir/passes/memory_planning_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:14.8621386Z   copying exir/passes/normalize_transpose_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:14.8622072Z   copying exir/passes/normalize_view_copy_base_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:14.8622604Z   copying exir/passes/pass_registry.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:14.8623170Z   copying exir/passes/prune_empty_tensors_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:14.8623687Z   copying exir/passes/quant_fusion_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:14.8803410Z   copying exir/passes/quantize_io_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:14.8804072Z   copying exir/passes/remove_graph_asserts_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:14.8804700Z   copying exir/passes/remove_mixed_type_operators.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:14.8805222Z   copying exir/passes/remove_noop_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:14.8805870Z   copying exir/passes/replace_aten_with_edge_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:14.8806525Z   copying exir/passes/replace_broken_ops_with_function_ops_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:14.8807126Z   copying exir/passes/replace_edge_with_backend_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:14.8807684Z   copying exir/passes/replace_sym_size_op_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:14.8808287Z   copying exir/passes/replace_view_copy_with_view_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:14.8808836Z   copying exir/passes/scalar_to_tensor_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:14.8809345Z   copying exir/passes/spec_prop_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:14.8809869Z   copying exir/passes/sym_shape_eval_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:14.8810381Z   copying exir/passes/sym_to_tensor_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:14.8810937Z   copying exir/passes/weights_to_outputs_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes
2025-03-21T20:21:14.8811270Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/program
2025-03-21T20:21:14.8811738Z   copying exir/program/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/program
2025-03-21T20:21:14.8812235Z   copying exir/program/_fake_program.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/program
2025-03-21T20:21:14.8812725Z   copying exir/program/_program.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/program
2025-03-21T20:21:14.8813059Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/serde
2025-03-21T20:21:14.8813495Z   copying exir/serde/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/serde
2025-03-21T20:21:14.8814006Z   copying exir/serde/export_serialize.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/serde
2025-03-21T20:21:14.8814443Z   copying exir/serde/schema.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/serde
2025-03-21T20:21:14.8814915Z   copying exir/serde/schema_check.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/serde
2025-03-21T20:21:14.8815375Z   copying exir/serde/serialize.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/serde
2025-03-21T20:21:14.8815818Z   copying exir/serde/union.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/serde
2025-03-21T20:21:14.8816655Z   copying exir/serde/upgrade.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/serde
2025-03-21T20:21:14.8817005Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:14.8817653Z   copying exir/tests/asr_joiner.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:14.8818114Z   copying exir/tests/common.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:14.8818634Z   copying exir/tests/control_flow_models.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:14.8819152Z   copying exir/tests/dynamic_shape_models.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:14.8819596Z   copying exir/tests/models.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:14.8820096Z   copying exir/tests/test_arg_validator.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:14.8820579Z   copying exir/tests/test_capture.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:14.8821036Z   copying exir/tests/test_common.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:14.8821523Z   copying exir/tests/test_delegate.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:14.8822029Z   copying exir/tests/test_dim_order_utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:14.8822617Z   copying exir/tests/test_dynamic_shape_propagation.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:14.8823068Z   copying exir/tests/test_error.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:14.8823570Z   copying exir/tests/test_joint_graph.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:14.8824125Z   copying exir/tests/test_memory_format_ops_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:14.8824710Z   copying exir/tests/test_memory_format_ops_pass_aten.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:14.8825321Z   copying exir/tests/test_memory_format_ops_pass_utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:14.8825847Z   copying exir/tests/test_memory_planning.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:14.8826342Z   copying exir/tests/test_op_convert.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:14.8826864Z   copying exir/tests/test_pass_infra.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:14.8827354Z   copying exir/tests/test_passes.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:14.8827900Z   copying exir/tests/test_print_program.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:14.8828529Z   copying exir/tests/test_prune_empty_tensors_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:14.8829071Z   copying exir/tests/test_quant_fusion_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:14.8829591Z   copying exir/tests/test_quantization.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:14.8830147Z   copying exir/tests/test_quantize_io_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:14.8830687Z   copying exir/tests/test_remove_view_copy.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:14.8831159Z   copying exir/tests/test_serde.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:14.8831624Z   copying exir/tests/test_tensor.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:14.8832100Z   copying exir/tests/test_tracer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:14.8832750Z   copying exir/tests/test_verification.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:14.8833324Z   copying exir/tests/test_warnings.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:14.8833828Z   copying exir/tests/transformer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests
2025-03-21T20:21:14.8834194Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/verification
2025-03-21T20:21:14.8834778Z   copying exir/verification/arg_validator.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/verification
2025-03-21T20:21:14.8835314Z   copying exir/verification/dev_html.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/verification
2025-03-21T20:21:14.8835890Z   copying exir/verification/interpreter.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/verification
2025-03-21T20:21:14.8836439Z   copying exir/verification/verifier.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/verification
2025-03-21T20:21:14.8836830Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/test
2025-03-21T20:21:14.8837378Z   copying exir/_serialize/test/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/test
2025-03-21T20:21:14.8837952Z   copying exir/_serialize/test/test_cord.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/test
2025-03-21T20:21:14.8838560Z   copying exir/_serialize/test/test_flatbuffer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/test
2025-03-21T20:21:14.8839192Z   copying exir/_serialize/test/test_named_data_store.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/test
2025-03-21T20:21:14.8839973Z   copying exir/_serialize/test/test_program.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/test
2025-03-21T20:21:14.8840461Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/canonical_partitioners
2025-03-21T20:21:14.8841326Z   copying exir/backend/canonical_partitioners/config_partitioner.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/canonical_partitioners
2025-03-21T20:21:14.8842229Z   copying exir/backend/canonical_partitioners/duplicate_constant_node_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/canonical_partitioners
2025-03-21T20:21:14.8843126Z   copying exir/backend/canonical_partitioners/duplicate_dequant_node_pass.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/canonical_partitioners
2025-03-21T20:21:14.8843982Z   copying exir/backend/canonical_partitioners/pattern_op_partitioner.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/canonical_partitioners
2025-03-21T20:21:14.8844351Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:14.9005305Z   copying exir/backend/test/backend_with_compiler_demo.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:14.9006166Z   copying exir/backend/test/backend_with_delegate_mapping_demo.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:14.9006842Z   copying exir/backend/test/backend_with_named_data_map.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:14.9007457Z   copying exir/backend/test/hta_partitioner_demo.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:14.9008058Z   copying exir/backend/test/op_partitioner_demo.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:14.9008647Z   copying exir/backend/test/qnn_backend_demo.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:14.9009318Z   copying exir/backend/test/test_backend_with_named_data_map.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:14.9009898Z   copying exir/backend/test/test_backends.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:14.9010874Z   copying exir/backend/test/test_backends_lifted.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:14.9011729Z   copying exir/backend/test/test_backends_nested.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:14.9012365Z   copying exir/backend/test/test_compatibility.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:14.9012988Z   copying exir/backend/test/test_debug_handle_map.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:14.9013629Z   copying exir/backend/test/test_delegate_map_builder.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:14.9014254Z   copying exir/backend/test/test_graph_partition.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:14.9014911Z   copying exir/backend/test/test_lowered_backend_module.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:14.9015513Z   copying exir/backend/test/test_partitioner.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:14.9016076Z   copying exir/backend/test/test_passes.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:14.9016622Z   copying exir/backend/test/test_utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test
2025-03-21T20:21:14.9017029Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/demos
2025-03-21T20:21:14.9017745Z   copying exir/backend/test/demos/test_delegate_aten_mode.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/demos
2025-03-21T20:21:14.9018447Z   copying exir/backend/test/demos/test_xnnpack_qnnpack.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/demos
2025-03-21T20:21:14.9018881Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/demos/rpc
2025-03-21T20:21:14.9019711Z   copying exir/backend/test/demos/rpc/executor_backend_partitioner.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/demos/rpc
2025-03-21T20:21:14.9020515Z   copying exir/backend/test/demos/rpc/executor_backend_preprocess.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/demos/rpc
2025-03-21T20:21:14.9021195Z   copying exir/backend/test/demos/rpc/test_rpc.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/demos/rpc
2025-03-21T20:21:14.9021577Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/backend
2025-03-21T20:21:14.9022134Z   copying exir/dialects/backend/_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/backend
2025-03-21T20:21:14.9022510Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge
2025-03-21T20:21:14.9023028Z   copying exir/dialects/edge/_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge
2025-03-21T20:21:14.9023413Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/test
2025-03-21T20:21:14.9024045Z   copying exir/dialects/test/test_exir_dialect_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/test
2025-03-21T20:21:14.9024468Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/backend/test
2025-03-21T20:21:14.9025185Z   copying exir/dialects/backend/test/test_backend_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/backend/test
2025-03-21T20:21:14.9025590Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/arg
2025-03-21T20:21:14.9026186Z   copying exir/dialects/edge/arg/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/arg
2025-03-21T20:21:14.9026775Z   copying exir/dialects/edge/arg/type.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/arg
2025-03-21T20:21:14.9027333Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/dtype
2025-03-21T20:21:14.9028061Z   copying exir/dialects/edge/dtype/runner.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/dtype
2025-03-21T20:21:14.9028754Z   copying exir/dialects/edge/dtype/supported.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/dtype
2025-03-21T20:21:14.9029376Z   copying exir/dialects/edge/dtype/utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/dtype
2025-03-21T20:21:14.9029768Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/op
2025-03-21T20:21:14.9030324Z   copying exir/dialects/edge/op/api.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/op
2025-03-21T20:21:14.9030946Z   copying exir/dialects/edge/op/sample_input.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/op
2025-03-21T20:21:14.9031345Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/spec
2025-03-21T20:21:14.9031929Z   copying exir/dialects/edge/spec/gen.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/spec
2025-03-21T20:21:14.9032542Z   copying exir/dialects/edge/spec/utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/spec
2025-03-21T20:21:14.9032939Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/test
2025-03-21T20:21:14.9033591Z   copying exir/dialects/edge/test/test_edge_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/test
2025-03-21T20:21:14.9034240Z   copying exir/dialects/edge/test/test_edge_yaml.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/test
2025-03-21T20:21:14.9034662Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/op/test
2025-03-21T20:21:14.9035325Z   copying exir/dialects/edge/op/test/test_api.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/op/test
2025-03-21T20:21:14.9035684Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/emit/test
2025-03-21T20:21:14.9036189Z   copying exir/emit/test/test_emit.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/emit/test
2025-03-21T20:21:14.9036563Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/operator/test
2025-03-21T20:21:14.9037148Z   copying exir/operator/test/test_operator.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/operator/test
2025-03-21T20:21:14.9037511Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/program/test
2025-03-21T20:21:14.9038037Z   copying exir/program/test/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/program/test
2025-03-21T20:21:14.9038637Z   copying exir/program/test/test_fake_program.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/program/test
2025-03-21T20:21:14.9039211Z   copying exir/program/test/test_program.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/program/test
2025-03-21T20:21:14.9039612Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/exir/verification/test
2025-03-21T20:21:14.9040550Z   copying exir/verification/test/test_verifier.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/verification/test
2025-03-21T20:21:14.9040954Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/android_test
2025-03-21T20:21:14.9041568Z   copying extension/android_test/add_model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/android_test
2025-03-21T20:21:14.9041952Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/export_util
2025-03-21T20:21:14.9042518Z   copying extension/export_util/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/export_util
2025-03-21T20:21:14.9043201Z   copying extension/export_util/utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/export_util
2025-03-21T20:21:14.9043856Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/flat_tensor
2025-03-21T20:21:14.9044445Z   copying extension/flat_tensor/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/flat_tensor
2025-03-21T20:21:14.9045706Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/gguf_util
2025-03-21T20:21:14.9046923Z   copying extension/gguf_util/convert_main.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/gguf_util
2025-03-21T20:21:14.9048222Z   copying extension/gguf_util/converter.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/gguf_util
2025-03-21T20:21:14.9049497Z   copying extension/gguf_util/load_gguf.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/gguf_util
2025-03-21T20:21:14.9050588Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/pybindings
2025-03-21T20:21:14.9249472Z   copying extension/pybindings/portable_lib.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/pybindings
2025-03-21T20:21:14.9250725Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/pytree
2025-03-21T20:21:14.9251765Z   copying extension/pytree/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/pytree
2025-03-21T20:21:14.9252827Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/training
2025-03-21T20:21:14.9253893Z   copying extension/training/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/training
2025-03-21T20:21:14.9255022Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/flat_tensor/serialize
2025-03-21T20:21:14.9256316Z   copying extension/flat_tensor/serialize/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/flat_tensor/serialize
2025-03-21T20:21:14.9257932Z   copying extension/flat_tensor/serialize/flat_tensor_schema.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/flat_tensor/serialize
2025-03-21T20:21:14.9259591Z   copying extension/flat_tensor/serialize/serialize.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/flat_tensor/serialize
2025-03-21T20:21:14.9260899Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/flat_tensor/test
2025-03-21T20:21:14.9262171Z   copying extension/flat_tensor/test/test_serialize.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/flat_tensor/test
2025-03-21T20:21:14.9263447Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/gguf_util/converters
2025-03-21T20:21:14.9264783Z   copying extension/gguf_util/converters/llama_converter.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/gguf_util/converters
2025-03-21T20:21:14.9266093Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:21:14.9267262Z   copying extension/llm/custom_ops/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:21:14.9268660Z   copying extension/llm/custom_ops/custom_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:21:14.9270117Z   copying extension/llm/custom_ops/model_sharding.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:21:14.9271596Z   copying extension/llm/custom_ops/op_tile_crop_aot.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:21:14.9273109Z   copying extension/llm/custom_ops/preprocess_custom_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:21:14.9274685Z   copying extension/llm/custom_ops/test_preprocess_custom_ops.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:21:14.9276260Z   copying extension/llm/custom_ops/test_sdpa_with_kv_cache.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:21:14.9277782Z   copying extension/llm/custom_ops/test_update_cache.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:21:14.9279403Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/export
2025-03-21T20:21:14.9280696Z   copying extension/llm/export/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/export
2025-03-21T20:21:14.9282032Z   copying extension/llm/export/builder.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/export
2025-03-21T20:21:14.9283388Z   copying extension/llm/export/export_passes.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/export
2025-03-21T20:21:14.9284793Z   copying extension/llm/export/partitioner_lib.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/export
2025-03-21T20:21:14.9286307Z   copying extension/llm/export/quantizer_lib.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/export
2025-03-21T20:21:14.9287733Z   copying extension/llm/export/test_export_passes.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/export
2025-03-21T20:21:14.9288915Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/modules
2025-03-21T20:21:14.9290029Z   copying extension/llm/modules/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/modules
2025-03-21T20:21:14.9291422Z   copying extension/llm/modules/_position_embeddings.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/modules
2025-03-21T20:21:14.9292848Z   copying extension/llm/modules/attention.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/modules
2025-03-21T20:21:14.9294199Z   copying extension/llm/modules/kv_cache.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/modules
2025-03-21T20:21:14.9295328Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizer
2025-03-21T20:21:14.9296488Z   copying extension/llm/tokenizer/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizer
2025-03-21T20:21:14.9297904Z   copying extension/llm/tokenizer/hf_tokenizer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizer
2025-03-21T20:21:14.9299345Z   copying extension/llm/tokenizer/tokenizer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizer
2025-03-21T20:21:14.9300756Z   copying extension/llm/tokenizer/utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizer
2025-03-21T20:21:14.9301926Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizers
2025-03-21T20:21:14.9303107Z   copying extension/llm/tokenizers/setup.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizers
2025-03-21T20:21:14.9304357Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops/spinquant
2025-03-21T20:21:14.9305842Z   copying extension/llm/custom_ops/spinquant/special_hadamard_code_gen.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops/spinquant
2025-03-21T20:21:14.9307448Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops/spinquant/third-party/FFHT
2025-03-21T20:21:14.9309181Z   copying extension/llm/custom_ops/spinquant/third-party/FFHT/example.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops/spinquant/third-party/FFHT
2025-03-21T20:21:14.9311285Z   copying extension/llm/custom_ops/spinquant/third-party/FFHT/gen.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops/spinquant/third-party/FFHT
2025-03-21T20:21:14.9312812Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/modules/test
2025-03-21T20:21:14.9314037Z   copying extension/llm/modules/test/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/modules/test
2025-03-21T20:21:14.9315523Z   copying extension/llm/modules/test/test_attention.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/modules/test
2025-03-21T20:21:14.9317066Z   copying extension/llm/modules/test/test_kv_cache.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/modules/test
2025-03-21T20:21:14.9318861Z   copying extension/llm/modules/test/test_position_embeddings.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/modules/test
2025-03-21T20:21:14.9320324Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizer/test
2025-03-21T20:21:14.9321661Z   copying extension/llm/tokenizer/test/test_tokenizer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizer/test
2025-03-21T20:21:14.9323066Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers
2025-03-21T20:21:14.9324617Z   copying extension/llm/tokenizers/pytorch_tokenizers/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers
2025-03-21T20:21:14.9326639Z   copying extension/llm/tokenizers/pytorch_tokenizers/hf_tokenizer.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers
2025-03-21T20:21:14.9328594Z   copying extension/llm/tokenizers/pytorch_tokenizers/llama2c.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers
2025-03-21T20:21:14.9330525Z   copying extension/llm/tokenizers/pytorch_tokenizers/tiktoken.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers
2025-03-21T20:21:14.9332202Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c
2025-03-21T20:21:14.9334040Z   copying extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c
2025-03-21T20:21:14.9336318Z   copying extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c/convert.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c
2025-03-21T20:21:14.9338043Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizers/tools/llama2c
2025-03-21T20:21:14.9339525Z   copying extension/llm/tokenizers/tools/llama2c/convert.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizers/tools/llama2c
2025-03-21T20:21:14.9341120Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/pybindings/test
2025-03-21T20:21:14.9342353Z   copying extension/pybindings/test/make_test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/pybindings/test
2025-03-21T20:21:14.9343907Z   copying extension/pybindings/test/test_backend_pybinding.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/pybindings/test
2025-03-21T20:21:14.9452598Z   copying extension/pybindings/test/test_pybindings.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/pybindings/test
2025-03-21T20:21:14.9453883Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/pytree/test
2025-03-21T20:21:14.9455069Z   copying extension/pytree/test/test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/pytree/test
2025-03-21T20:21:14.9456221Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/training/pybindings
2025-03-21T20:21:14.9457576Z   copying extension/training/pybindings/_training_module.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/training/pybindings
2025-03-21T20:21:14.9458939Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/training/examples/XOR
2025-03-21T20:21:14.9460303Z   copying extension/training/examples/XOR/export_model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/training/examples/XOR
2025-03-21T20:21:14.9461916Z   copying extension/training/examples/XOR/model.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/training/examples/XOR
2025-03-21T20:21:14.9463264Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/training/examples/XOR/test
2025-03-21T20:21:14.9465100Z   copying extension/training/examples/XOR/test/test_export.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/training/examples/XOR/test
2025-03-21T20:21:14.9466777Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/extension/training/pybindings/test
2025-03-21T20:21:14.9468186Z   copying extension/training/pybindings/test/test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/training/pybindings/test
2025-03-21T20:21:14.9469453Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/kernels/quantized
2025-03-21T20:21:14.9470490Z   copying kernels/quantized/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/kernels/quantized
2025-03-21T20:21:14.9471546Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/kernels/quantized/test
2025-03-21T20:21:14.9472750Z   copying kernels/quantized/test/test_out_variants.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/kernels/quantized/test
2025-03-21T20:21:14.9474269Z   copying kernels/quantized/test/test_quant_dequant_per_token.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/kernels/quantized/test
2025-03-21T20:21:14.9475451Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools
2025-03-21T20:21:14.9476324Z   copying devtools/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools
2025-03-21T20:21:14.9477277Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/backend_debug
2025-03-21T20:21:14.9478398Z   copying devtools/backend_debug/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/backend_debug
2025-03-21T20:21:14.9479766Z   copying devtools/backend_debug/delegation_info.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/backend_debug
2025-03-21T20:21:14.9480960Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program
2025-03-21T20:21:14.9482135Z   copying devtools/bundled_program/config.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program
2025-03-21T20:21:14.9483507Z   copying devtools/bundled_program/core.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program
2025-03-21T20:21:14.9484886Z   copying devtools/bundled_program/version.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program
2025-03-21T20:21:14.9486148Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/debug_format
2025-03-21T20:21:14.9487276Z   copying devtools/debug_format/base_schema.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/debug_format
2025-03-21T20:21:14.9488603Z   copying devtools/debug_format/et_schema.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/debug_format
2025-03-21T20:21:14.9489679Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/etdump
2025-03-21T20:21:14.9490751Z   copying devtools/etdump/schema_flatcc.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/etdump
2025-03-21T20:21:14.9491975Z   copying devtools/etdump/serialize.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/etdump
2025-03-21T20:21:14.9493015Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/etrecord
2025-03-21T20:21:14.9494062Z   copying devtools/etrecord/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/etrecord
2025-03-21T20:21:14.9495281Z   copying devtools/etrecord/_etrecord.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/etrecord
2025-03-21T20:21:14.9496344Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/inspector
2025-03-21T20:21:14.9497400Z   copying devtools/inspector/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/inspector
2025-03-21T20:21:14.9498650Z   copying devtools/inspector/_inspector.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/inspector
2025-03-21T20:21:14.9499955Z   copying devtools/inspector/_inspector_utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/inspector
2025-03-21T20:21:14.9501284Z   copying devtools/inspector/inspector_cli.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/inspector
2025-03-21T20:21:14.9502654Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/size_analysis_tool
2025-03-21T20:21:14.9504036Z   copying devtools/size_analysis_tool/size_analysis_tool.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/size_analysis_tool
2025-03-21T20:21:14.9505653Z   copying devtools/size_analysis_tool/size_analysis_tool_test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/size_analysis_tool
2025-03-21T20:21:14.9506927Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/visualization
2025-03-21T20:21:14.9508073Z   copying devtools/visualization/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/visualization
2025-03-21T20:21:14.9509516Z   copying devtools/visualization/visualization_utils.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/visualization
2025-03-21T20:21:14.9511089Z   copying devtools/visualization/visualization_utils_test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/visualization
2025-03-21T20:21:14.9512377Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/backend_debug/tests
2025-03-21T20:21:14.9513701Z   copying devtools/backend_debug/tests/test_delegation_info.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/backend_debug/tests
2025-03-21T20:21:14.9515039Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/schema
2025-03-21T20:21:14.9516331Z   copying devtools/bundled_program/schema/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/schema
2025-03-21T20:21:14.9517973Z   copying devtools/bundled_program/schema/bundled_program_schema.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/schema
2025-03-21T20:21:14.9519388Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/serialize
2025-03-21T20:21:14.9520745Z   copying devtools/bundled_program/serialize/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/serialize
2025-03-21T20:21:14.9522068Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/test
2025-03-21T20:21:14.9523391Z   copying devtools/bundled_program/test/test_bundle_data.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/test
2025-03-21T20:21:14.9524972Z   copying devtools/bundled_program/test/test_config.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/test
2025-03-21T20:21:14.9526659Z   copying devtools/bundled_program/test/test_end2end.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/test
2025-03-21T20:21:14.9527953Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/util
2025-03-21T20:21:14.9529233Z   copying devtools/bundled_program/util/test_util.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/util
2025-03-21T20:21:14.9530561Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/schema/test
2025-03-21T20:21:14.9532000Z   copying devtools/bundled_program/schema/test/test_schema.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/schema/test
2025-03-21T20:21:14.9533449Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/serialize/test
2025-03-21T20:21:14.9534961Z   copying devtools/bundled_program/serialize/test/test_serialize.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/serialize/test
2025-03-21T20:21:14.9536354Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/etdump/tests
2025-03-21T20:21:14.9537527Z   copying devtools/etdump/tests/serialize_test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/etdump/tests
2025-03-21T20:21:14.9538712Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/etrecord/tests
2025-03-21T20:21:14.9540472Z   copying devtools/etrecord/tests/etrecord_test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/etrecord/tests
2025-03-21T20:21:14.9541927Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/inspector/tests
2025-03-21T20:21:14.9543225Z   copying devtools/inspector/tests/event_blocks_test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/inspector/tests
2025-03-21T20:21:14.9544746Z   copying devtools/inspector/tests/inspector_test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/inspector/tests
2025-03-21T20:21:14.9546353Z   copying devtools/inspector/tests/inspector_utils_test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/inspector/tests
2025-03-21T20:21:15.9653960Z   copying devtools/bundled_program/config.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program
2025-03-21T20:21:15.9655433Z   copying devtools/bundled_program/core.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program
2025-03-21T20:21:15.9656839Z   copying devtools/bundled_program/version.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program
2025-03-21T20:21:15.9658317Z   copying devtools/bundled_program/schema/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/schema
2025-03-21T20:21:15.9659956Z   copying devtools/bundled_program/schema/bundled_program_schema.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/schema
2025-03-21T20:21:15.9661638Z   copying devtools/bundled_program/serialize/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/serialize
2025-03-21T20:21:15.9663256Z   copying devtools/bundled_program/test/test_bundle_data.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/test
2025-03-21T20:21:15.9664828Z   copying devtools/bundled_program/test/test_config.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/test
2025-03-21T20:21:15.9666396Z   copying devtools/bundled_program/test/test_end2end.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/test
2025-03-21T20:21:15.9667950Z   copying devtools/bundled_program/util/test_util.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/util
2025-03-21T20:21:15.9669573Z   copying devtools/bundled_program/schema/test/test_schema.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/schema/test
2025-03-21T20:21:15.9671425Z   copying devtools/bundled_program/serialize/test/test_serialize.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/serialize/test
2025-03-21T20:21:15.9672733Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/runtime
2025-03-21T20:21:15.9673579Z   copying runtime/__init__.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/runtime
2025-03-21T20:21:15.9674458Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/runtime/test
2025-03-21T20:21:15.9675445Z   copying runtime/test/test_runtime.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/runtime/test
2025-03-21T20:21:15.9676385Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/util
2025-03-21T20:21:15.9677315Z   copying util/activation_memory_profiler.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/util
2025-03-21T20:21:15.9678347Z   copying util/collect_env.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/util
2025-03-21T20:21:15.9679307Z   copying util/python_profiler.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/util
2025-03-21T20:21:15.9680021Z   running egg_info
2025-03-21T20:21:15.9680398Z   creating executorch.egg-info
2025-03-21T20:21:15.9680846Z   writing executorch.egg-info/PKG-INFO
2025-03-21T20:21:15.9681482Z   writing dependency_links to executorch.egg-info/dependency_links.txt
2025-03-21T20:21:15.9682232Z   writing entry points to executorch.egg-info/entry_points.txt
2025-03-21T20:21:15.9683321Z   writing requirements to executorch.egg-info/requires.txt
2025-03-21T20:21:15.9683998Z   writing top-level names to executorch.egg-info/top_level.txt
2025-03-21T20:21:15.9684668Z   writing manifest file 'executorch.egg-info/SOURCES.txt'
2025-03-21T20:21:15.9685549Z   reading manifest file 'executorch.egg-info/SOURCES.txt'
2025-03-21T20:21:15.9686247Z   adding license file 'LICENSE'
2025-03-21T20:21:15.9686769Z   writing manifest file 'executorch.egg-info/SOURCES.txt'
2025-03-21T20:21:15.9687854Z   copying backends/apple/coreml/executorchcoreml.pyi -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml
2025-03-21T20:21:15.9689439Z   copying backends/apple/mps/serialization/schema.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/serialization
2025-03-21T20:21:15.9690907Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/schema
2025-03-21T20:21:15.9692605Z   copying backends/arm/third-party/serialization_lib/schema/tosa.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/schema
2025-03-21T20:21:15.9694418Z   copying backends/cadence/aot/functions.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:15.9695901Z   copying backends/cadence/aot/functions_fusion_g3.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:15.9697416Z   copying backends/cadence/aot/functions_hifi.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:21:15.9699095Z   copying backends/qualcomm/serialization/qc_compiler_spec.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/serialization
2025-03-21T20:21:15.9700545Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/aot/ir
2025-03-21T20:21:15.9701821Z   copying backends/qualcomm/aot/ir/qcir.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/aot/ir
2025-03-21T20:21:15.9703356Z   copying backends/vulkan/serialization/schema.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/serialization
2025-03-21T20:21:15.9704843Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9706519Z   copying backends/vulkan/runtime/graph/ops/glsl/addmm_naive_buffer.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9708590Z   copying backends/vulkan/runtime/graph/ops/glsl/addmm_naive_texture3d.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9710702Z   copying backends/vulkan/runtime/graph/ops/glsl/addmm_optimized.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9712714Z   copying backends/vulkan/runtime/graph/ops/glsl/arange.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9714700Z   copying backends/vulkan/runtime/graph/ops/glsl/avg_pool2d.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9716711Z   copying backends/vulkan/runtime/graph/ops/glsl/batchnorm.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9718650Z   copying backends/vulkan/runtime/graph/ops/glsl/binary_op.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9720729Z   copying backends/vulkan/runtime/graph/ops/glsl/bitw8_image_to_nchw_nobitw8buffer.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9722817Z   copying backends/vulkan/runtime/graph/ops/glsl/buffer_to_buffer.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9724852Z   copying backends/vulkan/runtime/graph/ops/glsl/buffer_to_nchw.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9727383Z   copying backends/vulkan/runtime/graph/ops/glsl/clone.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9729268Z   copying backends/vulkan/runtime/graph/ops/glsl/conv1d.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9731161Z   copying backends/vulkan/runtime/graph/ops/glsl/conv2d.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9733032Z   copying backends/vulkan/runtime/graph/ops/glsl/conv2d_dw.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9735013Z   copying backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_output_tile.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9737126Z   copying backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_prepack_weights.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9739238Z   copying backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_sned_output_tile.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9741512Z   copying backends/vulkan/runtime/graph/ops/glsl/conv2d_prepack_weights.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9743542Z   copying backends/vulkan/runtime/graph/ops/glsl/conv2d_pw.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9745469Z   copying backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9747541Z   copying backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d_prepack_weights.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9749702Z   copying backends/vulkan/runtime/graph/ops/glsl/copy_channel_offset.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9751647Z   copying backends/vulkan/runtime/graph/ops/glsl/copy_offset.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9823893Z   copying backends/vulkan/runtime/graph/ops/glsl/copy_packed_dim_offset.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9825956Z   copying backends/vulkan/runtime/graph/ops/glsl/embedding.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9827898Z   copying backends/vulkan/runtime/graph/ops/glsl/flip.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9829748Z   copying backends/vulkan/runtime/graph/ops/glsl/full.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9831599Z   copying backends/vulkan/runtime/graph/ops/glsl/grid_priors.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9833627Z   copying backends/vulkan/runtime/graph/ops/glsl/image_to_nchw.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9835568Z   copying backends/vulkan/runtime/graph/ops/glsl/index_select.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9837501Z   copying backends/vulkan/runtime/graph/ops/glsl/index_select_channel.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9839981Z   copying backends/vulkan/runtime/graph/ops/glsl/kv_cache_update.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9842359Z   copying backends/vulkan/runtime/graph/ops/glsl/max_pool2d.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9844292Z   copying backends/vulkan/runtime/graph/ops/glsl/native_layer_norm.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9846402Z   copying backends/vulkan/runtime/graph/ops/glsl/nchw_to_bitw8_image_nobitw8buffer.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9848429Z   copying backends/vulkan/runtime/graph/ops/glsl/nchw_to_buffer.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9850304Z   copying backends/vulkan/runtime/graph/ops/glsl/nchw_to_image.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9852152Z   copying backends/vulkan/runtime/graph/ops/glsl/no_op.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9853989Z   copying backends/vulkan/runtime/graph/ops/glsl/pad_channel.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9855894Z   copying backends/vulkan/runtime/graph/ops/glsl/pad_height_width.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9857778Z   copying backends/vulkan/runtime/graph/ops/glsl/permute.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9859620Z   copying backends/vulkan/runtime/graph/ops/glsl/q_4w_linear.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9861460Z   copying backends/vulkan/runtime/graph/ops/glsl/q_8w_linear.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9863361Z   copying backends/vulkan/runtime/graph/ops/glsl/q_8w_linear_optimized.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9865251Z   copying backends/vulkan/runtime/graph/ops/glsl/reduce.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9867116Z   copying backends/vulkan/runtime/graph/ops/glsl/repeat_channel.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9869049Z   copying backends/vulkan/runtime/graph/ops/glsl/repeat_interleave.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9871001Z   copying backends/vulkan/runtime/graph/ops/glsl/rotary_embedding.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9873030Z   copying backends/vulkan/runtime/graph/ops/glsl/sdpa_attn_weight_scale_and_mask.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9875020Z   copying backends/vulkan/runtime/graph/ops/glsl/select_batch_4d.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9876938Z   copying backends/vulkan/runtime/graph/ops/glsl/select_channel_3d.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9878874Z   copying backends/vulkan/runtime/graph/ops/glsl/select_channel_4d.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9880797Z   copying backends/vulkan/runtime/graph/ops/glsl/select_height_3d.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9883092Z   copying backends/vulkan/runtime/graph/ops/glsl/select_height_4d.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9885040Z   copying backends/vulkan/runtime/graph/ops/glsl/select_width_3d.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9887154Z   copying backends/vulkan/runtime/graph/ops/glsl/select_width_4d.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9889071Z   copying backends/vulkan/runtime/graph/ops/glsl/slice_packed_dim.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9891012Z   copying backends/vulkan/runtime/graph/ops/glsl/slice_unpacked_dim.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9892916Z   copying backends/vulkan/runtime/graph/ops/glsl/softmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9894764Z   copying backends/vulkan/runtime/graph/ops/glsl/unary_op.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9896671Z   copying backends/vulkan/runtime/graph/ops/glsl/upsample_nearest2d.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9898557Z   copying backends/vulkan/runtime/graph/ops/glsl/view.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:15.9899938Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test/glsl
2025-03-21T20:21:15.9901186Z   copying backends/vulkan/test/glsl/all_shaders.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/test/glsl
2025-03-21T20:21:15.9902496Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:21:15.9903977Z   copying backends/vulkan/tools/gpuinfo/glsl/buf_bandwidth.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:21:15.9905800Z   copying backends/vulkan/tools/gpuinfo/glsl/buf_cacheline_size.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:21:15.9907588Z   copying backends/vulkan/tools/gpuinfo/glsl/reg_count.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:21:15.9909346Z   copying backends/vulkan/tools/gpuinfo/glsl/tex_bandwidth.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:21:15.9911177Z   copying backends/vulkan/tools/gpuinfo/glsl/tex_cacheline_concurr.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:21:15.9912990Z   copying backends/vulkan/tools/gpuinfo/glsl/warp_size.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:21:15.9914710Z   copying backends/xnnpack/serialization/runtime_schema.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/serialization
2025-03-21T20:21:15.9916345Z   copying backends/xnnpack/serialization/schema.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/serialization
2025-03-21T20:21:15.9918027Z   copying backends/xnnpack/third-party/generate-cpuinfo-wrappers.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party
2025-03-21T20:21:15.9919744Z   copying backends/xnnpack/third-party/FP16/confu.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/FP16
2025-03-21T20:21:15.9921420Z   copying backends/xnnpack/third-party/FXdiv/confu.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/FXdiv
2025-03-21T20:21:15.9965788Z   copying backends/xnnpack/third-party/cpuinfo/confu.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo
2025-03-21T20:21:15.9968056Z   copying backends/xnnpack/third-party/pthreadpool/confu.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/pthreadpool
2025-03-21T20:21:15.9970128Z   copying backends/xnnpack/third-party/XNNPACK/scripts/generate-build-identifier.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts
2025-03-21T20:21:15.9972258Z   copying backends/xnnpack/third-party/XNNPACK/scripts/sort-filenames.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts
2025-03-21T20:21:15.9973876Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:15.9975485Z   copying backends/xnnpack/third-party/XNNPACK/test/bf16-gemm-minmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:15.9977498Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-conv-hwc2chw.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:15.9979505Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-dwconv2d-chw.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:15.9981545Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-gemm-minmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:15.9983628Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-igemm-minmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:15.9985669Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-rdsum.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:15.9987665Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-rsum.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:15.9989648Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-gemm-minmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:15.9991642Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-ibilinear-chw.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:15.9993634Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-ibilinear.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:15.9995607Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-igemm-minmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:15.9997684Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-raddstoreexpminusmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:15.9999715Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-rmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0001657Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-rmin.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0003573Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-rminmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0005489Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-rsum.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0008140Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-spmm-minmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0010439Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-vmulcaddc-minmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0012569Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-argmaxpool.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0014719Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-conv-hwc.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0016812Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-conv-hwc2chw.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0018938Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-dwconv2d-chw.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0021178Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-gemm-goi-minmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0023305Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-gemm-minmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0025388Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-gemm-relu.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0050580Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-gemm.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0052779Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-gemminc-minmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0054925Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-ibilinear-chw.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0056920Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-ibilinear.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0058909Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-igemm-minmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0060886Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-igemm-relu.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0062826Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-igemm.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0064773Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-ppmm-minmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0066787Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-qc4w-gemm-minmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0068824Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm-minmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0070839Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm-relu.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0072813Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0075225Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-raddexpminusmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0077465Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-raddextexp.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0079571Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-raddstoreexpminusmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0081601Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-rdsum.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0083494Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-rmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0085385Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-rmin.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0087428Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-rminmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0105417Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-rsum.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0107442Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-spmm-minmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0109470Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vmulcaddc-minmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0111553Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vscaleexpminusmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0113645Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vscaleextexp.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0115704Z   copying backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qb4w-gemm-minmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0117802Z   copying backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc4w-gemm-minmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0119890Z   copying backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc8w-gemm-minmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0121991Z   copying backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc8w-igemm-minmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0124100Z   copying backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qb4w-gemm-minmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0126293Z   copying backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qc4w-gemm-minmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0128402Z   copying backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qc8w-gemm-minmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0130507Z   copying backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qc8w-igemm-minmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0132612Z   copying backends/xnnpack/third-party/XNNPACK/test/qp8-f32-qb4w-gemm-minmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0135122Z   copying backends/xnnpack/third-party/XNNPACK/test/qp8-f32-qc4w-gemm-minmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0137268Z   copying backends/xnnpack/third-party/XNNPACK/test/qs8-qc8w-gemm-minmax-fp32.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0139391Z   copying backends/xnnpack/third-party/XNNPACK/test/qs8-qc8w-igemm-minmax-fp32.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0141641Z   copying backends/xnnpack/third-party/XNNPACK/test/qs8-rdsum-minmax-fp32.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0143633Z   copying backends/xnnpack/third-party/XNNPACK/test/qs8-rsum.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0145618Z   copying backends/xnnpack/third-party/XNNPACK/test/qu8-gemm-minmax-fp32.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0147676Z   copying backends/xnnpack/third-party/XNNPACK/test/qu8-gemm-minmax-rndnu.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0149800Z   copying backends/xnnpack/third-party/XNNPACK/test/qu8-igemm-minmax-fp32.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0151877Z   copying backends/xnnpack/third-party/XNNPACK/test/qu8-igemm-minmax-rndnu.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0153869Z   copying backends/xnnpack/third-party/XNNPACK/test/qu8-rdsum.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0155786Z   copying backends/xnnpack/third-party/XNNPACK/test/qu8-rsum.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0157719Z   copying backends/xnnpack/third-party/XNNPACK/test/s8-ibilinear.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0159674Z   copying backends/xnnpack/third-party/XNNPACK/test/u8-ibilinear.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0161630Z   copying backends/xnnpack/third-party/XNNPACK/test/u8-lut32norm.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0163558Z   copying backends/xnnpack/third-party/XNNPACK/test/u8-rmax.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0165454Z   copying backends/xnnpack/third-party/XNNPACK/test/x8-lut.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.0167591Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-argmaxpool-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:16.0169721Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:16.0171843Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc2chw-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:16.0174036Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-multipass-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:16.0176590Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-unipass-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:16.0178945Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv2d-chw-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:16.0181069Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-gemm-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:16.0183187Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-ibilinear-chw-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:16.0185324Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-ibilinear-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:16.0187437Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-lut-norm-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:16.0189493Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-lut-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:16.0191606Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-raddexpminusmax-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:16.0193780Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-raddextexp-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:16.0195998Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-raddstoreexpminusmax-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:16.0198221Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-rdsum-benchmark.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:16.0200321Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-rdsum-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:16.0202381Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-reduce-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:16.1104991Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-spmm-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:16.1107158Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-vbinary-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:16.1109305Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-vmulcaddc-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:16.1111506Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-vscaleexpminusmax-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:16.1113727Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-vscaleextexp-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:16.1115853Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-vunary-test.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:16.1117923Z   copying backends/xnnpack/third-party/XNNPACK/tools/update-microkernels.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:21:16.1120394Z   copying backends/xnnpack/third-party/cpuinfo/scripts/android-device-dump.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/scripts
2025-03-21T20:21:16.1122772Z   copying backends/xnnpack/third-party/cpuinfo/scripts/arm-linux-filesystem-dump.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/scripts
2025-03-21T20:21:16.1124957Z   copying backends/xnnpack/third-party/cpuinfo/scripts/parse-x86-cpuid-dump.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/scripts
2025-03-21T20:21:16.1127134Z   copying backends/xnnpack/third-party/cpuinfo/deps/clog/confu.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/deps/clog
2025-03-21T20:21:16.1128964Z   copying examples/llm_pte_finetuning/phi3_alpaca_code_config.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/llm_pte_finetuning
2025-03-21T20:21:16.1130553Z   copying examples/llm_pte_finetuning/phi3_config.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/llm_pte_finetuning
2025-03-21T20:21:16.1132087Z   copying examples/llm_pte_finetuning/qwen_05b_config.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/llm_pte_finetuning
2025-03-21T20:21:16.1133654Z   copying examples/models/phi-3-mini/export_phi-3-mini.py -> pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/phi-3-mini
2025-03-21T20:21:16.1134901Z   copying exir/delegate.pyi -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir
2025-03-21T20:21:16.1135992Z   copying exir/dialects/edge/edge.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge
2025-03-21T20:21:16.1137303Z   copying extension/pybindings/pybindings.pyi -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/pybindings
2025-03-21T20:21:16.1138808Z   copying extension/flat_tensor/serialize/flat_tensor.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/flat_tensor/serialize
2025-03-21T20:21:16.1140616Z   copying extension/flat_tensor/serialize/scalar_type.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/flat_tensor/serialize
2025-03-21T20:21:16.1142243Z   copying extension/training/pybindings/_training_lib.pyi -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/training/pybindings
2025-03-21T20:21:16.1143707Z   copying kernels/quantized/quantized.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/kernels/quantized
2025-03-21T20:21:16.1145139Z   copying kernels/quantized/test/supported_features_def.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/kernels/quantized/test
2025-03-21T20:21:16.1146298Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/schema
2025-03-21T20:21:16.1147153Z   copying schema/program.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/schema
2025-03-21T20:21:16.1148131Z   copying schema/scalar_type.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/schema
2025-03-21T20:21:16.1149301Z   copying devtools/etdump/etdump_schema_flatcc.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/etdump
2025-03-21T20:21:16.1150604Z   copying devtools/etdump/scalar_type.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/etdump
2025-03-21T20:21:16.1152111Z   copying devtools/bundled_program/schema/bundled_program_schema.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/schema
2025-03-21T20:21:16.1153813Z   copying devtools/bundled_program/schema/scalar_type.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/schema
2025-03-21T20:21:16.1155508Z   copying devtools/bundled_program/schema/bundled_program_schema.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/schema
2025-03-21T20:21:16.1157209Z   copying devtools/bundled_program/schema/scalar_type.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/schema
2025-03-21T20:21:16.1158468Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/runtime/kernel/test
2025-03-21T20:21:16.1159858Z   copying runtime/kernel/test/functions.yaml -> pip-out/lib.linux-aarch64-cpython-310/executorch/runtime/kernel/test
2025-03-21T20:21:16.1161226Z   copying schema/scalar_type.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize
2025-03-21T20:21:16.1162342Z   copying schema/program.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize
2025-03-21T20:21:16.1163778Z   copying devtools/bundled_program/schema/bundled_program_schema.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/serialize
2025-03-21T20:21:16.1165500Z   copying devtools/bundled_program/schema/scalar_type.fbs -> pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/serialize
2025-03-21T20:21:16.1166833Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/share/cmake
2025-03-21T20:21:16.1168082Z   copying tools/cmake/executorch-wheel-config.cmake -> pip-out/lib.linux-aarch64-cpython-310/executorch/share/cmake/executorch-config.cmake
2025-03-21T20:21:16.1169431Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:21:16.1170628Z   copying runtime/core/array_ref.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:21:16.1171968Z   copying runtime/core/data_loader.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:21:16.1173299Z   copying runtime/core/defines.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:21:16.1174596Z   copying runtime/core/error.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:21:16.1175892Z   copying runtime/core/evalue.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:21:16.1177225Z   copying runtime/core/event_tracer.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:21:16.1178624Z   copying runtime/core/event_tracer_hooks.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:21:16.1180111Z   copying runtime/core/event_tracer_hooks_delegate.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:21:16.1181582Z   copying runtime/core/freeable_buffer.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:21:16.1183048Z   copying runtime/core/hierarchical_allocator.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:21:16.1184508Z   copying runtime/core/memory_allocator.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:21:16.1185904Z   copying runtime/core/named_data_map.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:21:16.1187243Z   copying runtime/core/result.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:21:16.1188541Z   copying runtime/core/span.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:21:16.1189814Z   copying runtime/core/tag.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:21:16.1191137Z   copying runtime/core/tensor_layout.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:21:16.1192567Z   copying runtime/core/tensor_shape_dynamism.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:21:16.1193894Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/exec_aten
2025-03-21T20:21:16.1195268Z   copying runtime/core/exec_aten/exec_aten.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/exec_aten
2025-03-21T20:21:16.1196732Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/testing_util
2025-03-21T20:21:16.1198689Z   copying runtime/core/exec_aten/testing_util/tensor_factory.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/testing_util
2025-03-21T20:21:16.1241753Z   copying runtime/core/exec_aten/testing_util/tensor_util.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/testing_util
2025-03-21T20:21:16.1243392Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/util
2025-03-21T20:21:16.1244901Z   copying runtime/core/exec_aten/util/dim_order_util.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/util
2025-03-21T20:21:16.1246742Z   copying runtime/core/exec_aten/util/scalar_type_util.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/util
2025-03-21T20:21:16.1248591Z   copying runtime/core/exec_aten/util/tensor_dimension_limit.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/util
2025-03-21T20:21:16.1250470Z   copying runtime/core/exec_aten/util/tensor_shape_to_c_string.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/util
2025-03-21T20:21:16.1252442Z   copying runtime/core/exec_aten/util/tensor_util.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/util
2025-03-21T20:21:16.1253936Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:21:16.1255420Z   copying runtime/core/portable_type/bfloat16.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:21:16.1257282Z   copying runtime/core/portable_type/bfloat16_math.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:21:16.1259129Z   copying runtime/core/portable_type/bits_types.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:21:16.1260843Z   copying runtime/core/portable_type/complex.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:21:16.1262540Z   copying runtime/core/portable_type/device.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:21:16.1264205Z   copying runtime/core/portable_type/half.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:21:16.1265878Z   copying runtime/core/portable_type/optional.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:21:16.1267595Z   copying runtime/core/portable_type/qint_types.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:21:16.1269306Z   copying runtime/core/portable_type/scalar.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:21:16.1271020Z   copying runtime/core/portable_type/scalar_type.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:21:16.1272761Z   copying runtime/core/portable_type/string_view.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:21:16.1274472Z   copying runtime/core/portable_type/tensor.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:21:16.1276176Z   copying runtime/core/portable_type/tensor_impl.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:21:16.1277929Z   copying runtime/core/portable_type/tensor_options.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:21:16.1279872Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/macros
2025-03-21T20:21:16.1281791Z   copying runtime/core/portable_type/c10/c10/macros/Export.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/macros
2025-03-21T20:21:16.1283906Z   copying runtime/core/portable_type/c10/c10/macros/Macros.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/macros
2025-03-21T20:21:16.1285644Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:21:16.1287486Z   copying runtime/core/portable_type/c10/c10/util/BFloat16-inl.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:21:16.1289617Z   copying runtime/core/portable_type/c10/c10/util/BFloat16-math.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:21:16.1291702Z   copying runtime/core/portable_type/c10/c10/util/BFloat16.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:21:16.1293738Z   copying runtime/core/portable_type/c10/c10/util/Half-inl.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:21:16.1295733Z   copying runtime/core/portable_type/c10/c10/util/Half.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:21:16.1297810Z   copying runtime/core/portable_type/c10/c10/util/TypeSafeSignMath.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:21:16.1299897Z   copying runtime/core/portable_type/c10/c10/util/bit_cast.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:21:16.1302000Z   copying runtime/core/portable_type/c10/c10/util/floating_point_utils.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:21:16.1304091Z   copying runtime/core/portable_type/c10/c10/util/irange.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:21:16.1305631Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/kernel
2025-03-21T20:21:16.1306913Z   copying runtime/kernel/kernel_includes.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/kernel
2025-03-21T20:21:16.1308427Z   copying runtime/kernel/kernel_runtime_context.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/kernel
2025-03-21T20:21:16.1309967Z   copying runtime/kernel/operator_registry.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/kernel
2025-03-21T20:21:16.1311523Z   copying runtime/kernel/thread_parallel_interface.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/kernel
2025-03-21T20:21:16.1312877Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/kernel/test
2025-03-21T20:21:16.1314215Z   copying runtime/kernel/test/test_util.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/kernel/test
2025-03-21T20:21:16.1315512Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:21:16.1316767Z   copying runtime/platform/abort.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:21:16.1318185Z   copying runtime/platform/assert.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:21:16.1319838Z   copying runtime/platform/clock.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:21:16.1321399Z   copying runtime/platform/compat_unistd.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:21:16.1322904Z   copying runtime/platform/compiler.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:21:16.1324315Z   copying runtime/platform/log.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:21:16.1325739Z   copying runtime/platform/platform.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:21:16.1327285Z   copying runtime/platform/profiler.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:21:16.1328729Z   copying runtime/platform/runtime.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:21:16.1330174Z   copying runtime/platform/system.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:21:16.1331597Z   copying runtime/platform/types.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:21:16.1332894Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform/test
2025-03-21T20:21:16.1334294Z   copying runtime/platform/test/stub_platform.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform/test
2025-03-21T20:21:16.1335698Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/kernel_util
2025-03-21T20:21:16.1909792Z   copying extension/kernel_util/make_boxed_from_unboxed_functor.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/kernel_util
2025-03-21T20:21:16.1911595Z   copying extension/kernel_util/meta_programming.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/kernel_util
2025-03-21T20:21:16.1913254Z   copying extension/kernel_util/type_list.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/kernel_util
2025-03-21T20:21:16.1914585Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/tensor
2025-03-21T20:21:16.1915853Z   copying extension/tensor/tensor.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/tensor
2025-03-21T20:21:16.1917333Z   copying extension/tensor/tensor_accessor.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/tensor
2025-03-21T20:21:16.1918825Z   copying extension/tensor/tensor_ptr.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/tensor
2025-03-21T20:21:16.1920316Z   copying extension/tensor/tensor_ptr_maker.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/tensor
2025-03-21T20:21:16.1921664Z   creating pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/threadpool
2025-03-21T20:21:16.1923060Z   copying extension/threadpool/cpuinfo_utils.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/threadpool
2025-03-21T20:21:16.1924667Z   copying extension/threadpool/threadpool.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/threadpool
2025-03-21T20:21:16.1926384Z   copying extension/threadpool/threadpool_guard.h -> pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/threadpool
2025-03-21T20:21:16.1927435Z   running build_ext
2025-03-21T20:21:16.1928069Z   creating /pytorch/executorch/pip-out/lib.linux-aarch64-cpython-310/executorch/data/bin
2025-03-21T20:21:16.1929096Z   creating /pytorch/executorch/pip-out/lib.linux-aarch64-cpython-310/executorch/data/bin
2025-03-21T20:21:16.1930765Z   copying /pytorch/executorch/pip-out/temp.linux-aarch64-cpython-310/cmake-out/third-party/flatbuffers/flatc -> /pytorch/executorch/pip-out/lib.linux-aarch64-cpython-310/executorch/data/bin
2025-03-21T20:21:16.1933724Z   copying /pytorch/executorch/pip-out/temp.linux-aarch64-cpython-310/cmake-out/_portable_lib.cpython-310-aarch64-linux-gnu.so -> pip-out/lib.linux-aarch64-cpython-310/executorch/extension/pybindings
2025-03-21T20:21:16.1936234Z   copying /pytorch/executorch/pip-out/temp.linux-aarch64-cpython-310/cmake-out/extension/llm/custom_ops/libcustom_ops_aot_lib.so -> /pytorch/executorch/pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:21:16.1938356Z   copying tools/wheel/pip_data_bin_init.py.in -> /pytorch/executorch/pip-out/lib.linux-aarch64-cpython-310/executorch/data/bin/__init__.py
2025-03-21T20:21:16.1940651Z   copying /pytorch/executorch/pip-out/temp.linux-aarch64-cpython-310/cmake-out/kernels/quantized/libquantized_ops_aot_lib.so -> /pytorch/executorch/pip-out/lib.linux-aarch64-cpython-310/executorch/kernels/quantized
2025-03-21T20:21:16.1942234Z   installing to pip-out/bdist.linux-aarch64/wheel
2025-03-21T20:21:16.1942739Z   running install
2025-03-21T20:21:16.1943085Z   running install_lib
2025-03-21T20:21:16.1943502Z   creating pip-out/bdist.linux-aarch64/wheel
2025-03-21T20:21:16.1944082Z   creating pip-out/bdist.linux-aarch64/wheel/executorch
2025-03-21T20:21:16.1944756Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends
2025-03-21T20:21:16.1945509Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/arm
2025-03-21T20:21:16.1946757Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/arm_backend.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm
2025-03-21T20:21:16.1948473Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/arm_vela.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm
2025-03-21T20:21:16.1950214Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/ethosu_backend.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm
2025-03-21T20:21:16.1952034Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/ethosu_partitioner.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm
2025-03-21T20:21:16.1953837Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/process_node.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm
2025-03-21T20:21:16.1955590Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/tosa_backend.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm
2025-03-21T20:21:16.1957335Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/tosa_mapping.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm
2025-03-21T20:21:16.1959112Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/tosa_partitioner.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm
2025-03-21T20:21:16.1960897Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/tosa_quant_utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm
2025-03-21T20:21:16.1962723Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/tosa_specification.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm
2025-03-21T20:21:16.1964501Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/tosa_utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm
2025-03-21T20:21:16.1965884Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/arm/_passes
2025-03-21T20:21:16.1967291Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/_debug_passes.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:16.1969356Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/annotate_channels_last_dim_order_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:16.1971806Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/annotate_decomposed_matmul.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:16.1974036Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/arm_pass_manager.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:16.1976014Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/arm_pass_utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:16.1977950Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/cast_int64_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:16.1979939Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/conv1d_unsqueeze_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:16.1982023Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/convert_any_default_dim_dims_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:16.1984152Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/convert_expand_copy_to_repeat.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:16.1986248Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/convert_full_like_to_full_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:16.1988294Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/convert_minmax_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:16.1990301Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/convert_split_to_slice.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:16.1992345Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/convert_squeezes_to_view.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:16.1994356Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/convert_to_clamp.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:16.1996369Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/decompose_batchnorm_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:16.1998405Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/decompose_div_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:16.2000430Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/decompose_layernorm_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:16.2002480Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/decompose_linear_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:16.2004521Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/decompose_meandim_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:16.2006683Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/decompose_select.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:16.2008697Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/decompose_softmax_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:16.2010788Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/decompose_softmax_unstable_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:16.2013029Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/decompose_var_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:16.2015213Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/fold_qdq_with_annotated_qparams_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:16.2017351Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/fuse_batchnorm2d_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:16.2019368Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/fuse_constant_ops_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:16.2021441Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/fuse_quantized_activation_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:16.2023517Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/insert_rescales_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:16.2025500Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/insert_table_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:16.2027536Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/keep_dims_false_to_squeeze_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:16.2029582Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/match_arg_ranks_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:16.2031624Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/meandim_to_averagepool_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:16.2033634Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/mm_to_bmm_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:16.2035580Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/remove_clone_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:16.2037595Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/scalars_to_attribute_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:16.2039642Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/size_adjust_conv2d_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:16.2041875Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/unsqueeze_before_repeat_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:16.2044046Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/_passes/unsqueeze_scalar_placeholders_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:21:16.2045625Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/arm/operator_support
2025-03-21T20:21:16.2047247Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operator_support/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operator_support
2025-03-21T20:21:16.2049439Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operator_support/convolution_support.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operator_support
2025-03-21T20:21:16.2051681Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operator_support/minmax_support.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operator_support
2025-03-21T20:21:16.2054163Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operator_support/pool_2d_support.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operator_support
2025-03-21T20:21:16.2056532Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operator_support/reduce_sum_support.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operator_support
2025-03-21T20:21:16.2058841Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operator_support/right_shift_support.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operator_support
2025-03-21T20:21:16.2061095Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operator_support/slice_copy_support.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operator_support
2025-03-21T20:21:16.2063326Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operator_support/to_copy_support.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operator_support
2025-03-21T20:21:16.2065616Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operator_support/tosa_supported_operators.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operator_support
2025-03-21T20:21:16.2067222Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/arm/operators
2025-03-21T20:21:16.2068639Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:16.2070626Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/node_visitor.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:16.2072621Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_abs.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:16.2074573Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_add.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:16.2076526Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_amax.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:16.2078479Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_amin.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:16.2080422Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_any.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:16.2082402Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_avg_pool2d.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:16.2084377Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_bmm.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:16.2086413Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_cat.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:16.2088375Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_clamp.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:16.2090395Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_constant_pad_nd.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:16.2092426Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_conv2d.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:16.2094388Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_eq.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:16.2096572Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_exp.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:16.2098542Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_full.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:16.2100491Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_ge.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:16.2109831Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_get_item.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:16.2111832Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_gt.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:16.2113760Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_le.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:16.2115693Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_log.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:16.2117616Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_lt.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:16.2119608Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_max_pool2d.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:16.2121607Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_maximum.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:16.2123609Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_minimum.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:16.2125584Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_mul.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:16.2127629Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_permute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:16.2129648Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_reciprocal.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:16.2131654Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_repeat.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:16.2133627Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_rescale.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:16.2135630Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_rshift.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:16.2137606Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_rsqrt.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:16.2139583Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_sigmoid.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:16.2141733Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_slice.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:16.2143671Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_sub.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:16.2146142Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_sum.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:16.2148111Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_table.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:16.2150071Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_tanh.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:16.2152023Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_to_copy.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:16.2154047Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_to_dim_order_copy.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:16.2156099Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_transpose.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:16.2158200Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_upsample_nearest2d.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:16.2160244Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/op_view.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:16.2162221Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/ops_binary.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:16.2164211Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/operators/ops_unary.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/operators
2025-03-21T20:21:16.2165655Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/arm/quantizer
2025-03-21T20:21:16.2167211Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/quantizer/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/quantizer
2025-03-21T20:21:16.2169203Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/quantizer/arm_quantizer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/quantizer
2025-03-21T20:21:16.2171264Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/quantizer/arm_quantizer_utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/quantizer
2025-03-21T20:21:16.2173411Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/quantizer/quantization_annotator.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/quantizer
2025-03-21T20:21:16.2175582Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/quantizer/quantization_config.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/quantizer
2025-03-21T20:21:16.2177081Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/arm/test
2025-03-21T20:21:16.2178410Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/common.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test
2025-03-21T20:21:16.2180254Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/conftest.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test
2025-03-21T20:21:16.2182131Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/runner_utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test
2025-03-21T20:21:16.2184004Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/test_model.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test
2025-03-21T20:21:16.2185548Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/arm/test/misc
2025-03-21T20:21:16.2187157Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/misc/test_custom_partition.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/misc
2025-03-21T20:21:16.2189285Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/misc/test_debug_feats.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/misc
2025-03-21T20:21:16.2191365Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/misc/test_dim_order_guards.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/misc
2025-03-21T20:21:16.2193603Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/misc/test_lifted_tensor.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/misc
2025-03-21T20:21:16.2195698Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/misc/test_model_evaluator.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/misc
2025-03-21T20:21:16.2197843Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/misc/test_multiple_delegates.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/misc
2025-03-21T20:21:16.2199982Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/misc/test_multiple_outputs.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/misc
2025-03-21T20:21:16.2202218Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/misc/test_partition_decomposed_quantized_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/misc
2025-03-21T20:21:16.2204401Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/misc/test_tosa_spec.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/misc
2025-03-21T20:21:16.2205937Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/arm/test/models
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2025-03-21T20:21:16.2210423Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/models/test_dl3_arm.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/models
2025-03-21T20:21:16.2212469Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/models/test_llama.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/models
2025-03-21T20:21:16.2214665Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/models/test_lstm_arm.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/models
2025-03-21T20:21:16.2216777Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/models/test_mobilenet_v2_arm.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/models
2025-03-21T20:21:16.2218926Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/models/test_nn_functional.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/models
2025-03-21T20:21:16.2221038Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/models/test_nn_modules.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/models
2025-03-21T20:21:16.2223164Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/models/test_torch_functions.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/models
2025-03-21T20:21:16.2225263Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/models/test_w2l_arm.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/models
2025-03-21T20:21:16.2226724Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/arm/test/ops
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2025-03-21T20:21:16.2230366Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_add.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2232342Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_amax.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2234292Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_amin.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2236242Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_any.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2238214Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_avg_pool2d.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2240383Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_batch_norm.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2242410Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_bitwise.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2244370Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_bmm.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2246380Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_cat.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2248328Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_clamp.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2250302Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_clone.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2252316Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_constant_pad_nd.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2254333Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_conv1d.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2256305Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_conv2d.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2258300Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_conv_combos.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2260357Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_depthwise_conv.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2262362Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_div.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2264282Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_eq.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2266198Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_exp.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2268152Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_expand.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2270390Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_floor.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2272503Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_full.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2274466Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_ge.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2276388Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_gt.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2278365Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_hardsigmoid.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2280397Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_hardswish.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2282432Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_hardtanh.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2284444Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_layer_norm.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2286480Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_le.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2288426Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_linear.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2290367Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_log.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2292331Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_logical.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2294333Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_logsoftmax.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2296301Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_lt.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2298243Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_max_pool.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2300229Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_maximum.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2302226Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_mean_dim.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2314974Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_minimum.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2316929Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_mm.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2318857Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_mul.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2320809Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_permute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2323083Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_reciprocal.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2325190Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_relu.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2327268Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_repeat.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2329244Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_rshift.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2331207Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_rsqrt.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2333186Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_scalars.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2335206Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_select.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2337186Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_sigmoid.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2339192Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_sigmoid_16bit.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2341395Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_sigmoid_32bit.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2343412Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_slice.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2345389Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_softmax.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2347357Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_split.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2349330Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_squeeze.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2351283Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_sub.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2353207Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_sum.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2355157Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_tanh.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2357106Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_to_copy.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2359105Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_unsqueeze.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2361171Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_upsample_nearest2d.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2363197Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_var.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2365559Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/ops/test_view.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:21:16.2367079Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/arm/test/passes
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2025-03-21T20:21:16.2370763Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/passes/test_convert_to_clamp.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/passes
2025-03-21T20:21:16.2372902Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/passes/test_fold_qdq_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/passes
2025-03-21T20:21:16.2375080Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/passes/test_fuse_batchnorm_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/passes
2025-03-21T20:21:16.2377295Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/passes/test_fuse_constant_ops_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/passes
2025-03-21T20:21:16.2379513Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/passes/test_insert_table_ops_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/passes
2025-03-21T20:21:16.2381729Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/passes/test_ioquantization_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/passes
2025-03-21T20:21:16.2383971Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/passes/test_meandim_to_averagepool2d.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/passes
2025-03-21T20:21:16.2386178Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/passes/test_rescale_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/passes
2025-03-21T20:21:16.2388413Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/passes/test_unsqueeze_before_repeat_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/passes
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2025-03-21T20:21:16.2396776Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/tester/analyze_output_utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/tester
2025-03-21T20:21:16.2398880Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/tester/arm_tester.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/tester
2025-03-21T20:21:16.2400940Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/test/tester/test_pipeline.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/test/tester
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2025-03-21T20:21:16.2405491Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/arm/util
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2025-03-21T20:21:16.2408542Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/arm/third-party
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2025-03-21T20:21:16.2413287Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/arm/third-party/serialization_lib/python
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2025-03-21T20:21:16.2419769Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/serializer/tosa_serializer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/serializer
2025-03-21T20:21:16.2421992Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/arm/third-party/serialization_lib/python/tosa
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2025-03-21T20:21:16.2427300Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/Attribute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:16.2430138Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/AxisAttribute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:16.2433017Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/ClampAttribute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:16.2435916Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/CondIfAttribute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:16.2438812Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/ConvAttribute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:16.2441836Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/CustomAttribute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:16.2444653Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/DType.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:16.2447519Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/FFTAttribute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:16.2450954Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/FullyConnectedAttribute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:16.2453975Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/MatMulAttribute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:16.2456860Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/MulAttribute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:16.2459739Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/NegateAttribute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:16.2462550Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/Op.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:16.2465331Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/PadAttribute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:16.2468198Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/PoolAttribute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:16.2471066Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/RFFTAttribute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:16.2473977Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/RescaleAttribute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:16.2476898Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/ReshapeAttribute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:16.2479813Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/ResizeAttribute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:16.2482679Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/ResizeMode.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:16.2485549Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/SliceAttribute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:16.2488531Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/TableAttribute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:16.2491408Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/TileAttribute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:16.2494456Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaBasicBlock.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:16.2497486Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaGraph.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:16.2500319Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaOperator.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:16.2503151Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaRegion.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:16.2505971Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaTensor.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:16.2508860Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/TransposeAttribute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:16.2511896Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/TransposeConvAttribute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:16.2514778Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/Version.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:16.2517646Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/WhileLoopAttribute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:21:16.2520482Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
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2025-03-21T20:21:16.2528054Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/arm/third-party/serialization_lib/test/scripts/xunit
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2025-03-21T20:21:16.2532323Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/arm/third-party/serialization_lib/schema
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2025-03-21T20:21:16.2535990Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/example
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2025-03-21T20:21:16.2539655Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_partitioner.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/example
2025-03-21T20:21:16.2541884Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_quantizer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/example
2025-03-21T20:21:16.2543834Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/test_example_delegate.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/example
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2025-03-21T20:21:16.2550166Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_backend_delegate_passes/permute_memory_formats_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/example/example_backend_delegate_passes
2025-03-21T20:21:16.2552097Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/example/example_operators
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2025-03-21T20:21:16.2556123Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_operators/add.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/example/example_operators
2025-03-21T20:21:16.2558353Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_operators/conv2d.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/example/example_operators
2025-03-21T20:21:16.2560630Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_operators/conv_relu.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/example/example_operators
2025-03-21T20:21:16.2562903Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_operators/dropout.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/example/example_operators
2025-03-21T20:21:16.2565168Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_operators/flatten.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/example/example_operators
2025-03-21T20:21:16.2567512Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_operators/linear.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/example/example_operators
2025-03-21T20:21:16.2569771Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_operators/op_base.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/example/example_operators
2025-03-21T20:21:16.2572004Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_operators/ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/example/example_operators
2025-03-21T20:21:16.2574219Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/example/example_operators/utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/example/example_operators
2025-03-21T20:21:16.2575748Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/mediatek
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2025-03-21T20:21:16.2578930Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/mediatek/partitioner.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/mediatek
2025-03-21T20:21:16.2581259Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/mediatek/preprocess.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/mediatek
2025-03-21T20:21:16.2582722Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/mediatek/_passes
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2025-03-21T20:21:16.2586388Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/mediatek/_passes/decompose_scaled_dot_product_attention.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/mediatek/_passes
2025-03-21T20:21:16.2588047Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/mediatek/quantizer
2025-03-21T20:21:16.2589572Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/mediatek/quantizer/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/mediatek/quantizer
2025-03-21T20:21:16.2591725Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/mediatek/quantizer/annotator.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/mediatek/quantizer
2025-03-21T20:21:16.2593868Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/mediatek/quantizer/qconfig.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/mediatek/quantizer
2025-03-21T20:21:16.2596014Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/mediatek/quantizer/quantizer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/mediatek/quantizer
2025-03-21T20:21:16.2597503Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/qualcomm
2025-03-21T20:21:16.2598883Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/qnn_preprocess.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm
2025-03-21T20:21:16.2600310Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/qualcomm/_passes
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2025-03-21T20:21:16.2603852Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes/annotate_decomposed.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:21:16.2606114Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes/annotate_quant_attrs.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:21:16.2608309Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes/build_quant_io.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:21:16.2610408Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes/constant_i64_to_i32.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:21:16.2612559Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes/convert_bmm_to_matmul.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:21:16.2614807Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes/convert_interpolate_with_upsample2d.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:21:16.2617041Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes/convert_to_linear.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:21:16.2619141Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes/decompose_any.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:21:16.2621455Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes/decompose_einsum.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:21:16.2623775Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes/decompose_linalg_vector_norm.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:21:16.2625985Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes/decompose_silu.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:21:16.2628207Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes/expand_broadcast_tensor_shape.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:21:16.2630332Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes/fold_qdq.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:21:16.2632465Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes/fuse_consecutive_transpose.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:21:16.2634618Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes/insert_io_qdq.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:21:16.2636716Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes/insert_requantize.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:21:16.2638838Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes/layout_transform.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:21:16.2641184Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes/lift_constant_scalar_operands.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:21:16.2643445Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes/recompose_pixel_unshuffle.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:21:16.2645605Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes/recompose_prelu.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:21:16.2647819Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes/recompose_rms_norm.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:21:16.2649959Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes/reduce_dynamic_range.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:21:16.2652109Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes/remove_redundancy.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:21:16.2654270Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes/replace_index_put_input.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:21:16.2656426Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes/replace_inf_buffer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:21:16.2658532Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes/tensor_i64_to_i32.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:21:16.2660569Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/_passes/utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:21:16.2662023Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2663760Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2665989Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/node_visitor.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2668119Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_abs.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2670267Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_adaptive_avg_pool2d.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2672395Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_add.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2674473Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_arange.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2676567Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_argmin.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2678672Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_avg_pool2d.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2680797Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_batch_norm.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2682882Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_bmm.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2684939Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_cat.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2687103Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_ceil.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2689175Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_clamp.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2691257Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_conv2d.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2693323Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_cos.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2695438Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_depth_to_space.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2697605Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_dequantize.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2699702Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_div.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2701797Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_embedding.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2703930Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_eq.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2706172Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_expand.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2708350Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_full.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2710472Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_full_like.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2712544Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_ge.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2714593Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_gelu.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2716702Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_group_norm.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2718779Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_gt.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2720882Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_hardsigmoid.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2723029Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_hardswish.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2725158Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_hardtanh.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2727352Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_index.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2729476Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_index_put.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2731629Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_instance_norm.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2733773Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_layer_norm.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2735852Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_le.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2737924Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_linear.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2740124Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_log.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2742229Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_log_softmax.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2744362Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_logical_not.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2746445Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_lt.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2748926Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_matmul.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2751018Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_max.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2753096Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_max_pool2d.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2755203Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_mean_dim.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2757271Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_min.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2759318Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_mul.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2761344Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_ne.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2763375Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_neg.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2765408Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_or.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2767573Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_pad.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2769631Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_pow.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2771688Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_prelu.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2773782Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_quantize.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2775859Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_relu.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2777926Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_repeat.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2780025Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_reshape.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2782114Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_rms_norm.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2784191Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_rsqrt.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2786299Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_select_copy.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2788416Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_sigmoid.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2790764Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_sin.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2792872Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_skip_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2794997Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_slice_copy.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2797108Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_softmax.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2799239Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_space_to_depth.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2801488Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_split_with_sizes.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2803614Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_sqrt.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2805702Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_squeeze.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2807853Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_sub.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2809939Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_sum_int_list.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2812050Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_tanh.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2814095Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_to.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2816137Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_topk.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2818235Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_transpose.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2820358Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_unsqueeze.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2822559Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_upsample_bilinear2d.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2824798Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_upsample_nearest2d.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2826948Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/op_where.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2829046Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/qnn_constants.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2831150Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/builders/utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:21:16.2832824Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/qualcomm/debugger
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2025-03-21T20:21:16.2835965Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/qualcomm/partition
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2025-03-21T20:21:16.2839874Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/partition/qnn_partitioner.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/partition
2025-03-21T20:21:16.2842040Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/partition/utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/partition
2025-03-21T20:21:16.2843570Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/qualcomm/quantizer
2025-03-21T20:21:16.2845140Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/quantizer/annotators.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/quantizer
2025-03-21T20:21:16.2847451Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/quantizer/custom_annotation.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/quantizer
2025-03-21T20:21:16.2849636Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/quantizer/qconfig.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/quantizer
2025-03-21T20:21:16.2851781Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/quantizer/quantizer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/quantizer
2025-03-21T20:21:16.2853408Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/qualcomm/quantizer/observers
2025-03-21T20:21:16.2855268Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/quantizer/observers/per_channel_param_observer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/quantizer/observers
2025-03-21T20:21:16.2857071Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/qualcomm/serialization
2025-03-21T20:21:16.2858699Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/serialization/qc_schema.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/serialization
2025-03-21T20:21:16.2860994Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/serialization/qc_schema_serialize.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/serialization
2025-03-21T20:21:16.2863331Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/serialization/qc_compiler_spec.fbs -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/serialization
2025-03-21T20:21:16.2864953Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/qualcomm/tests
2025-03-21T20:21:16.2866402Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/tests/models.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/tests
2025-03-21T20:21:16.2868448Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/tests/test_qnn_delegate.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/tests
2025-03-21T20:21:16.2870482Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/tests/utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/tests
2025-03-21T20:21:16.2871915Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/qualcomm/utils
2025-03-21T20:21:16.2873669Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/utils/constants.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/utils
2025-03-21T20:21:16.2875828Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/qualcomm/utils/utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/qualcomm/utils
2025-03-21T20:21:16.2877273Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/qualcomm/aot
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2025-03-21T20:21:16.2881022Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/transforms
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2025-03-21T20:21:16.2884316Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/transforms/addmm_mm_to_linear.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/transforms
2025-03-21T20:21:16.2886436Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/transforms/convert_dtype_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/transforms
2025-03-21T20:21:16.2888455Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/transforms/decompose_sdpa.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/transforms
2025-03-21T20:21:16.2890522Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/transforms/duplicate_dynamic_quant_chain.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/transforms
2025-03-21T20:21:16.2892648Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/transforms/fuse_batch_norm_with_conv.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/transforms
2025-03-21T20:21:16.2894708Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/transforms/fuse_conv_with_clamp.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/transforms
2025-03-21T20:21:16.2896746Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/transforms/fuse_dequant_linear.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/transforms
2025-03-21T20:21:16.2898804Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/transforms/fuse_view_copy.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/transforms
2025-03-21T20:21:16.2900770Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/transforms/mean_to_sum_div.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/transforms
2025-03-21T20:21:16.2902731Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/transforms/rank_0_to_rank_1.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/transforms
2025-03-21T20:21:16.2904719Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/transforms/remove_clone_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/transforms
2025-03-21T20:21:16.2906784Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/transforms/replace_scalar_with_tensor.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/transforms
2025-03-21T20:21:16.2908781Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/transforms/utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/transforms
2025-03-21T20:21:16.2910789Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/transforms/view_copy_to_squeeze_unsqueeze.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/transforms
2025-03-21T20:21:16.2912308Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/transforms/test
2025-03-21T20:21:16.2913970Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/transforms/test/test_create_delete_constant_placeholder.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/transforms/test
2025-03-21T20:21:16.2916578Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/transforms/test/test_duplicate_dynamic_quant_chain.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/transforms/test
2025-03-21T20:21:16.2918818Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/transforms/test/test_rank_0_to_rank_1.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/transforms/test
2025-03-21T20:21:16.2920284Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/vulkan
2025-03-21T20:21:16.2921567Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan
2025-03-21T20:21:16.2923367Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/custom_ops_lib.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan
2025-03-21T20:21:16.2925208Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/op_registry.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan
2025-03-21T20:21:16.2927073Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan
2025-03-21T20:21:16.2928912Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/vulkan_preprocess.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan
2025-03-21T20:21:16.2930321Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/vulkan/_passes
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2025-03-21T20:21:16.2933765Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/_passes/insert_prepack_nodes.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/_passes
2025-03-21T20:21:16.2935922Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/_passes/int4_weight_only_quantizer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/_passes
2025-03-21T20:21:16.2938030Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/_passes/remove_asserts.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/_passes
2025-03-21T20:21:16.2940312Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/_passes/remove_local_scalar_dense_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/_passes
2025-03-21T20:21:16.2942456Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/_passes/remove_redundant_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/_passes
2025-03-21T20:21:16.2944586Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/_passes/squeeze_unsqueeze_inputs.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/_passes
2025-03-21T20:21:16.2946715Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/_passes/tag_memory_meta_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/_passes
2025-03-21T20:21:16.2948233Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/vulkan/partitioner
2025-03-21T20:21:16.2949846Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/partitioner/vulkan_partitioner.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/partitioner
2025-03-21T20:21:16.2976538Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/vulkan/quantizer
2025-03-21T20:21:16.2978125Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/quantizer/vulkan_quantizer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/quantizer
2025-03-21T20:21:16.2979661Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/vulkan/runtime
2025-03-21T20:21:16.2981477Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/gen_vulkan_spv.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime
2025-03-21T20:21:16.2983184Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/vulkan/runtime/graph
2025-03-21T20:21:16.2984209Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/vulkan/runtime/graph/ops
2025-03-21T20:21:16.2985276Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:16.2987122Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_naive_buffer.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:16.2989718Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_naive_texture3d.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:16.2992319Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_optimized.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:16.2994804Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/arange.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:16.2997264Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/avg_pool2d.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:21:16.2999753Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/batchnorm.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
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2025-03-21T20:21:16.3199247Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/cgenerator.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-03-21T20:21:16.3202060Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/conventions.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-03-21T20:21:16.3204824Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/generator.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-03-21T20:21:16.3207632Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/genvk.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-03-21T20:21:16.3210321Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/reg.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-03-21T20:21:16.3213046Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/vkconventions.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-03-21T20:21:16.3215158Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/spec_tools
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2025-03-21T20:21:16.3219453Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/vulkan/third-party/VulkanMemoryAllocator
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2025-03-21T20:21:16.3222258Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis
2025-03-21T20:21:16.3224720Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis/GpuMemDumpVis.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis
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2025-03-21T20:21:16.3232935Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl/buf_cacheline_size.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:21:16.3235326Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl/reg_count.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:21:16.3237695Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl/tex_bandwidth.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:21:16.3240284Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl/tex_cacheline_concurr.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:21:16.3243133Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl/warp_size.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:21:16.3244735Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/xnnpack
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2025-03-21T20:21:16.3247966Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/xnnpack_preprocess.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack
2025-03-21T20:21:16.3249401Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/xnnpack/_passes
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2025-03-21T20:21:16.3252965Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes/channels_last_tagged_reshape_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/_passes
2025-03-21T20:21:16.3255166Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes/conv1d_unsqueeze_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/_passes
2025-03-21T20:21:16.3257273Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes/convert_to_linear.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/_passes
2025-03-21T20:21:16.3259343Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes/convert_to_sdpa.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/_passes
2025-03-21T20:21:16.3261506Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes/convert_to_upsample_bilinear2d.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/_passes
2025-03-21T20:21:16.3263654Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes/decompose_cat.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/_passes
2025-03-21T20:21:16.3265735Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes/fuse_activation_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/_passes
2025-03-21T20:21:16.3267882Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes/fuse_batch_norm_with_conv.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/_passes
2025-03-21T20:21:16.3270010Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes/prelu_reshape_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/_passes
2025-03-21T20:21:16.3272100Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes/remove_getitem_op.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/_passes
2025-03-21T20:21:16.3274202Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes/tag_implicit_q_dq_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/_passes
2025-03-21T20:21:16.3276275Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/_passes/xnnpack_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/_passes
2025-03-21T20:21:16.3277759Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/xnnpack/operators
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2025-03-21T20:21:16.3281357Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/node_visitor.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:16.3283755Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_abs.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:16.3285899Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_add.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:16.3287971Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_addmm.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:16.3290102Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_avg_pooling2d.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:16.3292213Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_bmm.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:16.3294282Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_cat.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:16.3296366Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_ceiling.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:16.3298460Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_clamp.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:16.3300546Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_conv2d.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:16.3302617Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_div.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:16.3304806Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_dynamic_dequantize_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:16.3307069Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_dynamic_quantize_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:16.3309229Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_elu.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:16.3311297Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_floor.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:16.3313407Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_hardswish.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:16.3315552Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_hardtanh.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:16.3317747Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_leaky_relu.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:16.3319864Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_linear.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:16.3322054Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_matrix_multiplication.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:16.3324411Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_max_dim.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:16.3326693Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_max_pool2d.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:16.3328842Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_maximum.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:16.3330946Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_mean_dim.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:16.3333042Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_minimum.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:16.3335163Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_multiply.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:16.3337272Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_negate.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:16.3339369Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_permute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:16.3341618Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_prelu.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:16.3343759Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_quant_dequant.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:16.3345891Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_relu.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:16.3347981Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_rsqrt.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:16.3350065Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_sdpa.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:16.3352158Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_sigmoid.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:16.3354267Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_skip_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:16.3356405Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_slice_copy.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:16.3358537Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_softmax.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:16.3360646Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_square.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:16.3362769Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_square_root.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:16.3364899Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_squeeze.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:16.3367404Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_static_constant_pad.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:16.3369819Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_static_resize_bilinear_2d.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:16.3372030Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_sub.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:16.3374097Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/op_to_copy.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:16.3376214Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/operators/quant_params.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:21:16.3377746Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/xnnpack/partition
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2025-03-21T20:21:16.3380342Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition/xnnpack_partitioner.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/partition
2025-03-21T20:21:16.3380785Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/xnnpack/partition/config
2025-03-21T20:21:16.3381851Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition/config/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/partition/config
2025-03-21T20:21:16.3382959Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition/config/gemm_configs.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/partition/config
2025-03-21T20:21:16.3384134Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition/config/generic_node_configs.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/partition/config
2025-03-21T20:21:16.3385238Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition/config/node_configs.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/partition/config
2025-03-21T20:21:16.3386397Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition/config/quant_affine_configs.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/partition/config
2025-03-21T20:21:16.3387515Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition/config/xnnpack_config.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/partition/config
2025-03-21T20:21:16.3387986Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/xnnpack/partition/graphs
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2025-03-21T20:21:16.3390174Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/partition/graphs/sdpa.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/partition/graphs
2025-03-21T20:21:16.3390566Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/xnnpack/quantizer
2025-03-21T20:21:16.3391605Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/quantizer/xnnpack_quantizer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/quantizer
2025-03-21T20:21:16.3392685Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/quantizer/xnnpack_quantizer_utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/quantizer
2025-03-21T20:21:16.3393255Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/xnnpack/serialization
2025-03-21T20:21:16.3394475Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/serialization/xnnpack_graph_schema.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/serialization
2025-03-21T20:21:16.3395637Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/serialization/xnnpack_graph_serialize.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/serialization
2025-03-21T20:21:16.3396792Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/serialization/runtime_schema.fbs -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/serialization
2025-03-21T20:21:16.3397838Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/serialization/schema.fbs -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/serialization
2025-03-21T20:21:16.3398230Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/xnnpack/test
2025-03-21T20:21:16.3399198Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/test_xnnpack_utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test
2025-03-21T20:21:16.3400210Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/test_xnnpack_utils_classes.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test
2025-03-21T20:21:16.3400617Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/xnnpack/test/models
2025-03-21T20:21:16.3401643Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models/deeplab_v3.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/models
2025-03-21T20:21:16.3402622Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models/edsr.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/models
2025-03-21T20:21:16.3403688Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models/emformer_rnnt.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/models
2025-03-21T20:21:16.3404733Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models/inception_v3.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/models
2025-03-21T20:21:16.3406086Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models/inception_v4.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/models
2025-03-21T20:21:16.3407165Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models/llama2_et_example.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/models
2025-03-21T20:21:16.3408201Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models/mobilebert.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/models
2025-03-21T20:21:16.3409252Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models/mobilenet_v2.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/models
2025-03-21T20:21:16.3410296Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models/mobilenet_v3.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/models
2025-03-21T20:21:16.3411297Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models/resnet.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/models
2025-03-21T20:21:16.3412370Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models/torchvision_vit.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/models
2025-03-21T20:21:16.3413409Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models/very_big_model.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/models
2025-03-21T20:21:16.3414673Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/models/w2l.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/models
2025-03-21T20:21:16.3415092Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/xnnpack/test/ops
2025-03-21T20:21:16.3416204Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_abs.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:16.3417271Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_add.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:16.3418277Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_avgpool2d.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:16.3419286Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_bilinear2d.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:16.3420247Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_bmm.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:16.3421333Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_cat.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:16.3422302Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_ceil.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:16.3423348Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_check_quant_params.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:16.3424320Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_clamp.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:16.3425423Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_conv1d.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:16.3426405Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_conv2d.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:16.3427368Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_div.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:16.3428417Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_elu.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:16.3429396Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_floor.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:16.3430394Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_hardswish.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:16.3431510Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_hardtanh.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:16.3432513Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_leaky_relu.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:16.3433503Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_linear.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:16.3434653Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_lstm.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:16.3435909Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_max_dim.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:16.3436951Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_maximum.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:16.3437995Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_maxpool2d.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:16.3438984Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_mean_dim.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:16.3440151Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_minimum.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:16.3441181Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_multiply.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:16.3442177Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_negate.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:16.3443162Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_permute.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:16.3474090Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_pow.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:16.3475136Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_prelu.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:16.3476208Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_quantize_per_tensor.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:16.3477172Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_relu.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:16.3478153Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_rsqrt.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:16.3479119Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_sdpa.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:16.3480132Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_sigmoid.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:16.3481135Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_slice_copy.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:16.3482131Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_softmax.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:16.3483091Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_sqrt.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:16.3484073Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_square.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:16.3485636Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_static_constant_pad.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:16.3486701Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/ops/test_sub.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:21:16.3487117Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/xnnpack/test/passes
2025-03-21T20:21:16.3488221Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/passes/test_activation_fusion.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/passes
2025-03-21T20:21:16.3489298Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/passes/test_batch_norm_fusion.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/passes
2025-03-21T20:21:16.3490460Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/passes/test_channels_last_tagged_reshape.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/passes
2025-03-21T20:21:16.3491542Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/passes/test_convert_to_linear.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/passes
2025-03-21T20:21:16.3492628Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/passes/test_decompose_cat_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/passes
2025-03-21T20:21:16.3493728Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/passes/test_remove_get_item_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/passes
2025-03-21T20:21:16.3494823Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/passes/test_tag_implicit_q_dq_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/passes
2025-03-21T20:21:16.3495254Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/xnnpack/test/quantizer
2025-03-21T20:21:16.3496379Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/quantizer/test_pt2e_quantization.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/quantizer
2025-03-21T20:21:16.3497502Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/quantizer/test_representation.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/quantizer
2025-03-21T20:21:16.3498623Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/quantizer/test_xnnpack_quantizer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/quantizer
2025-03-21T20:21:16.3499082Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/xnnpack/test/serialization
2025-03-21T20:21:16.3500256Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/serialization/test_serialization.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/serialization
2025-03-21T20:21:16.3501404Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/serialization/test_xnnheader.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/serialization
2025-03-21T20:21:16.3501810Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/xnnpack/test/tester
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2025-03-21T20:21:16.3503799Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/test/tester/tester.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/test/tester
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2025-03-21T20:21:16.3675421Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-dwconv2d-chw.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
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2025-03-21T20:21:16.3680259Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
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2025-03-21T20:21:16.3682727Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-ibilinear-chw.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.3684165Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-ibilinear.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.3685652Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm-minmax.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.3686943Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm-relu.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.3688123Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.3722421Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-ppmm-minmax.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.3723733Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc4w-gemm-minmax.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.3724977Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm-minmax.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
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2025-03-21T20:21:16.3727500Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.3728762Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddexpminusmax.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.3729981Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddextexp.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.3731271Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddstoreexpminusmax.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.3732443Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rdsum.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.3733630Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rmax.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.3734797Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rmin.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.3735994Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rminmax.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.3737160Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rsum.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.3738823Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-spmm-minmax.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.3740251Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vmulcaddc-minmax.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.3741544Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vscaleexpminusmax.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:21:16.3742779Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vscaleextexp.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
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2025-03-21T20:21:16.3746624Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc8w-gemm-minmax.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test
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2025-03-21T20:21:16.3855548Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators/op_getitem.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:21:16.3856598Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators/op_quant_dequant.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:21:16.3857619Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators/op_skip_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:21:16.3858621Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators/pad_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:21:16.3859895Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators/pooling_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:21:16.3861026Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators/range_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:21:16.3862081Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators/reduce_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:21:16.3863095Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators/shape_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:21:16.3864109Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/operators/unary_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:21:16.3864530Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/apple/mps/partition
2025-03-21T20:21:16.3865520Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/partition/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/mps/partition
2025-03-21T20:21:16.3866585Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/partition/mps_partitioner.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/mps/partition
2025-03-21T20:21:16.3867019Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/apple/mps/serialization
2025-03-21T20:21:16.3868113Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/serialization/mps_graph_schema.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/mps/serialization
2025-03-21T20:21:16.3869239Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/serialization/mps_graph_serialize.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/mps/serialization
2025-03-21T20:21:16.3870303Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/serialization/schema.fbs -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/mps/serialization
2025-03-21T20:21:16.3870678Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/apple/mps/test
2025-03-21T20:21:16.3871598Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/test/test_mps.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/mps/test
2025-03-21T20:21:16.3872580Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/test/test_mps_binary_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/mps/test
2025-03-21T20:21:16.3873591Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/test/test_mps_indexing_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/mps/test
2025-03-21T20:21:16.3874558Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/test/test_mps_linear.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/mps/test
2025-03-21T20:21:16.3947660Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/test/test_mps_models.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/mps/test
2025-03-21T20:21:16.3948723Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/test/test_mps_unary_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/mps/test
2025-03-21T20:21:16.3949695Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/test/test_mps_utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/mps/test
2025-03-21T20:21:16.3950090Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/apple/mps/utils
2025-03-21T20:21:16.3951040Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/utils/mps_utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/mps/utils
2025-03-21T20:21:16.3952573Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/mps/utils/quant_utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/mps/utils
2025-03-21T20:21:16.3952966Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/apple/coreml
2025-03-21T20:21:16.3953384Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/apple/coreml/compiler
2025-03-21T20:21:16.3954411Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/compiler/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/coreml/compiler
2025-03-21T20:21:16.3955514Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/compiler/coreml_preprocess.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/coreml/compiler
2025-03-21T20:21:16.3955959Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/apple/coreml/partition
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2025-03-21T20:21:16.3958125Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/partition/coreml_partitioner.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/coreml/partition
2025-03-21T20:21:16.3958550Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/apple/coreml/quantizer
2025-03-21T20:21:16.3959579Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/quantizer/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/coreml/quantizer
2025-03-21T20:21:16.3960682Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/quantizer/coreml_quantizer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/coreml/quantizer
2025-03-21T20:21:16.3961096Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/apple/coreml/test
2025-03-21T20:21:16.3962164Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/test/test_coreml_partitioner.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/coreml/test
2025-03-21T20:21:16.3963230Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/test/test_coreml_quantizer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/coreml/test
2025-03-21T20:21:16.3963648Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/apple/coreml/runtime
2025-03-21T20:21:16.3964144Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/apple/coreml/runtime/inmemoryfs
2025-03-21T20:21:16.3965307Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/runtime/inmemoryfs/setup.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/coreml/runtime/inmemoryfs
2025-03-21T20:21:16.3965762Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/apple/coreml/runtime/test
2025-03-21T20:21:16.3967043Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/runtime/test/export_stateful_model.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/coreml/runtime/test
2025-03-21T20:21:16.3968048Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/apple/coreml/executorchcoreml.pyi -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/apple/coreml
2025-03-21T20:21:16.3968540Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/cadence
2025-03-21T20:21:16.3968906Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/cadence/aot
2025-03-21T20:21:16.3969782Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:21:16.3970679Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/compiler.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:21:16.3971868Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/compiler_utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:21:16.3972823Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/export_example.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:21:16.3973711Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/fuse_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:21:16.3974635Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/graph_builder.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:21:16.3975598Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/memory_constraints.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:21:16.3976548Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/memory_planning.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:21:16.3977507Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/ops_registrations.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:21:16.3978412Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/pass_utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:21:16.3979306Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/passes.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:21:16.3980273Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/ref_implementations.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:21:16.3981195Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/remove_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:21:16.3982107Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/reorder_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:21:16.3983015Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/replace_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:21:16.3983944Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/simplify_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:21:16.3984814Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:21:16.3985253Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/cadence/aot/quantizer
2025-03-21T20:21:16.3986307Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/quantizer/fusion_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot/quantizer
2025-03-21T20:21:16.3987353Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/quantizer/patterns.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot/quantizer
2025-03-21T20:21:16.3988398Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/quantizer/quantizer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot/quantizer
2025-03-21T20:21:16.3989419Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/quantizer/utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot/quantizer
2025-03-21T20:21:16.3989950Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/cadence/aot/tests
2025-03-21T20:21:16.3991128Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/tests/test_fusion_ops_passes.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot/tests
2025-03-21T20:21:16.3992187Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/tests/test_graph_builder.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot/tests
2025-03-21T20:21:16.3993222Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/tests/test_memory_passes.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot/tests
2025-03-21T20:21:16.4052014Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/tests/test_pass_filter.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot/tests
2025-03-21T20:21:16.4053143Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/tests/test_remove_ops_passes.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot/tests
2025-03-21T20:21:16.4054238Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/tests/test_reorder_ops_passes.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot/tests
2025-03-21T20:21:16.4055294Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/tests/test_replace_ops_passes.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot/tests
2025-03-21T20:21:16.4056349Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/tests/test_simplify_ops_passes.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot/tests
2025-03-21T20:21:16.4057274Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/functions.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:21:16.4058249Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/functions_fusion_g3.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:21:16.4059219Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/aot/functions_hifi.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:21:16.4059600Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/cadence/runtime
2025-03-21T20:21:16.4060527Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/runtime/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/runtime
2025-03-21T20:21:16.4061471Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/runtime/executor.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/runtime
2025-03-21T20:21:16.4062418Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/runtime/runtime.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/runtime
2025-03-21T20:21:16.4063349Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/runtime/utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/runtime
2025-03-21T20:21:16.4063729Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/cadence/utils
2025-03-21T20:21:16.4064656Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/facto_util.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/utils
2025-03-21T20:21:16.4066669Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/gen_header.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/utils
2025-03-21T20:21:16.4068707Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/post_compilation.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/utils
2025-03-21T20:21:16.4070218Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/cadence/utils/FACTO
2025-03-21T20:21:16.4072088Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/setup.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/utils/FACTO
2025-03-21T20:21:16.4073901Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/cadence/utils/FACTO/calibrator
2025-03-21T20:21:16.4075706Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/calibrator/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/utils/FACTO/calibrator
2025-03-21T20:21:16.4078131Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/calibrator/runner.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/utils/FACTO/calibrator
2025-03-21T20:21:16.4079889Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/cadence/utils/FACTO/examples
2025-03-21T20:21:16.4081638Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/examples/example.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/utils/FACTO/examples
2025-03-21T20:21:16.4084150Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/examples/minimal_example.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/utils/FACTO/examples
2025-03-21T20:21:16.4086728Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/examples/random_seed.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/utils/FACTO/examples
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2025-03-21T20:21:16.4126031Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/model.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute
2025-03-21T20:21:16.4128918Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/solve.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute
2025-03-21T20:21:16.4130993Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/backends/cadence/utils/FACTO/facto/inputgen/specs
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2025-03-21T20:21:16.4171067Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/solve.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
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2025-03-21T20:21:16.4177287Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/type.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
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2025-03-21T20:21:16.4186331Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb/default.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/utils/FACTO/facto/specdb
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2025-03-21T20:21:16.4220494Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen/test_specs.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen
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2025-03-21T20:21:16.4264786Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/codegen/tools/test/test_gen_oplist.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/codegen/tools/test
2025-03-21T20:21:16.4266801Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/codegen/tools/test/test_gen_oplist_real_model.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/codegen/tools/test
2025-03-21T20:21:16.4268878Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/codegen/tools/test/test_gen_selected_op_variants.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/codegen/tools/test
2025-03-21T20:21:16.4270295Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples
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2025-03-21T20:21:16.4277105Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/apple/coreml/llama/llama_transformer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/apple/coreml/llama
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2025-03-21T20:21:16.4521033Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/vision_encoder/model.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/llama3_2_vision/vision_encoder
2025-03-21T20:21:16.4522950Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/llama3_2_vision/vision_encoder/test
2025-03-21T20:21:16.4524906Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/vision_encoder/test/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/llama3_2_vision/vision_encoder/test
2025-03-21T20:21:16.4527715Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llama3_2_vision/vision_encoder/test/test_vision_encoder.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/llama3_2_vision/vision_encoder/test
2025-03-21T20:21:16.4529546Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/llava
2025-03-21T20:21:16.4530934Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llava/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/llava
2025-03-21T20:21:16.4533064Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llava/export_llava.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/llava
2025-03-21T20:21:16.4535154Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llava/image_util.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/llava
2025-03-21T20:21:16.4537131Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llava/model.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/llava
2025-03-21T20:21:16.4538547Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/llava/test
2025-03-21T20:21:16.4540248Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llava/test/test_llava.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/llava/test
2025-03-21T20:21:16.4542349Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/llava/test/test_pte.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/llava/test
2025-03-21T20:21:16.4543834Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/lstm
2025-03-21T20:21:16.4545213Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/lstm/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/lstm
2025-03-21T20:21:16.4547102Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/lstm/model.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/lstm
2025-03-21T20:21:16.4548515Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/mobilebert
2025-03-21T20:21:16.4550013Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/mobilebert/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/mobilebert
2025-03-21T20:21:16.4552075Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/mobilebert/model.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/mobilebert
2025-03-21T20:21:16.4553597Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/mobilenet_v2
2025-03-21T20:21:16.4555129Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/mobilenet_v2/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/mobilenet_v2
2025-03-21T20:21:16.4557219Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/mobilenet_v2/model.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/mobilenet_v2
2025-03-21T20:21:16.4558735Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/mobilenet_v3
2025-03-21T20:21:16.4560269Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/mobilenet_v3/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/mobilenet_v3
2025-03-21T20:21:16.4591689Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/mobilenet_v3/model.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/mobilenet_v3
2025-03-21T20:21:16.4593296Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/phi-3-mini-lora
2025-03-21T20:21:16.4594943Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/phi-3-mini-lora/export_model.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/phi-3-mini-lora
2025-03-21T20:21:16.4596525Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/phi-3-mini
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2025-03-21T20:21:16.4600034Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/phi-3-mini/eager.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/phi-3-mini
2025-03-21T20:21:16.4602115Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/phi-3-mini/phi_3_mini.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/phi-3-mini
2025-03-21T20:21:16.4604737Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/phi-3-mini/static_cache.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/phi-3-mini
2025-03-21T20:21:16.4607006Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/phi-3-mini/export_phi-3-mini.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/phi-3-mini
2025-03-21T20:21:16.4608554Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/phi-4-mini
2025-03-21T20:21:16.4610039Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/phi-4-mini/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/phi-4-mini
2025-03-21T20:21:16.4612125Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/phi-4-mini/convert_weights.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/phi-4-mini
2025-03-21T20:21:16.4613658Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/qwen2_5
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2025-03-21T20:21:16.4617107Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/qwen2_5/convert_weights.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/qwen2_5
2025-03-21T20:21:16.4618591Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/resnet
2025-03-21T20:21:16.4620014Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/resnet/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/resnet
2025-03-21T20:21:16.4621967Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/resnet/model.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/resnet
2025-03-21T20:21:16.4623392Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/test
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2025-03-21T20:21:16.4626721Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/test/test_export.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/test
2025-03-21T20:21:16.4628211Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/torchvision_vit
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2025-03-21T20:21:16.4631977Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/torchvision_vit/model.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/torchvision_vit
2025-03-21T20:21:16.4633535Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/toy_model
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2025-03-21T20:21:16.4637009Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/toy_model/model.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/toy_model
2025-03-21T20:21:16.4638473Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/wav2letter
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2025-03-21T20:21:16.4642288Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/wav2letter/model.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/wav2letter
2025-03-21T20:21:16.4644092Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/moshi
2025-03-21T20:21:16.4644987Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/examples/models/moshi/mimi
2025-03-21T20:21:16.4646767Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/examples/models/moshi/mimi/test_mimi.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/examples/models/moshi/mimi
2025-03-21T20:21:16.4648193Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir
2025-03-21T20:21:16.4649258Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:16.4650722Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_warnings.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:16.4652200Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/common.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:16.4653717Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/control_flow.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:16.4655234Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/delegate.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:16.4656762Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dim_order_utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:16.4658314Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dynamic_shape.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:16.4659813Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/error.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:16.4661271Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/graph.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:16.4662759Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/graph_module.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:16.4664371Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/lowered_backend_module.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:16.4665937Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/memory.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:16.4667460Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/memory_planning.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:16.4668993Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/pass_base.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:16.4670505Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/pass_manager.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:16.4672049Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/print_program.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:16.4673591Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/scalar_type.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:16.4675090Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/schema.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:16.4676563Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/sym_util.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:16.4678023Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tensor.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:16.4679494Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tracer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:16.4680957Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/types.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:16.4682644Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/version.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:16.4684209Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/wrap.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:16.4685373Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/_serialize
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2025-03-21T20:21:16.4706318Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/_cord.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/_serialize
2025-03-21T20:21:16.4708055Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/_dataclass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/_serialize
2025-03-21T20:21:16.4709820Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/_flatbuffer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/_serialize
2025-03-21T20:21:16.4711674Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/_named_data_store.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/_serialize
2025-03-21T20:21:16.4713452Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/_program.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/_serialize
2025-03-21T20:21:16.4715199Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/_serialize.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/_serialize
2025-03-21T20:21:16.4716992Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/data_serializer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/_serialize
2025-03-21T20:21:16.4718785Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/padding.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/_serialize
2025-03-21T20:21:16.4720098Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/_serialize/test
2025-03-21T20:21:16.4721462Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/test/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/_serialize/test
2025-03-21T20:21:16.4723320Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/test/test_cord.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/_serialize/test
2025-03-21T20:21:16.4725249Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/test/test_flatbuffer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/_serialize/test
2025-03-21T20:21:16.4727331Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/test/test_named_data_store.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/_serialize/test
2025-03-21T20:21:16.4729293Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/test/test_program.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/_serialize/test
2025-03-21T20:21:16.4731176Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/scalar_type.fbs -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/_serialize
2025-03-21T20:21:16.4732961Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/_serialize/program.fbs -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/_serialize
2025-03-21T20:21:16.4734229Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/backend
2025-03-21T20:21:16.4735489Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/backend_api.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend
2025-03-21T20:21:16.4737265Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/backend_details.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend
2025-03-21T20:21:16.4739099Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/compile_spec_schema.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend
2025-03-21T20:21:16.4741664Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/operator_support.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend
2025-03-21T20:21:16.4743541Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/partitioner.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend
2025-03-21T20:21:16.4786915Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend
2025-03-21T20:21:16.4788312Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/backend/canonical_partitioners
2025-03-21T20:21:16.4790077Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/canonical_partitioners/config_partitioner.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend/canonical_partitioners
2025-03-21T20:21:16.4792597Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/canonical_partitioners/duplicate_constant_node_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend/canonical_partitioners
2025-03-21T20:21:16.4795127Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/canonical_partitioners/duplicate_dequant_node_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend/canonical_partitioners
2025-03-21T20:21:16.4797622Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/canonical_partitioners/pattern_op_partitioner.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend/canonical_partitioners
2025-03-21T20:21:16.4799261Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/backend/test
2025-03-21T20:21:16.4800724Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/backend_with_compiler_demo.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend/test
2025-03-21T20:21:16.4802841Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/backend_with_delegate_mapping_demo.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend/test
2025-03-21T20:21:16.4804966Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/backend_with_named_data_map.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend/test
2025-03-21T20:21:16.4807096Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/hta_partitioner_demo.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend/test
2025-03-21T20:21:16.4809068Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/op_partitioner_demo.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend/test
2025-03-21T20:21:16.4811014Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/qnn_backend_demo.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend/test
2025-03-21T20:21:16.4813029Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/test_backend_with_named_data_map.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend/test
2025-03-21T20:21:16.4815048Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/test_backends.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend/test
2025-03-21T20:21:16.4816979Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/test_backends_lifted.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend/test
2025-03-21T20:21:16.4818973Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/test_backends_nested.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend/test
2025-03-21T20:21:16.4820946Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/test_compatibility.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend/test
2025-03-21T20:21:16.4822918Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/test_debug_handle_map.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend/test
2025-03-21T20:21:16.4825479Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/test_delegate_map_builder.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend/test
2025-03-21T20:21:16.4827505Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/test_graph_partition.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend/test
2025-03-21T20:21:16.4829522Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/test_lowered_backend_module.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend/test
2025-03-21T20:21:16.4831520Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/test_partitioner.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend/test
2025-03-21T20:21:16.4833428Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/test_passes.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend/test
2025-03-21T20:21:16.4835284Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/test_utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend/test
2025-03-21T20:21:16.4836664Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/backend/test/demos
2025-03-21T20:21:16.4838200Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/demos/test_delegate_aten_mode.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend/test/demos
2025-03-21T20:21:16.4843502Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/demos/test_xnnpack_qnnpack.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend/test/demos
2025-03-21T20:21:16.4845410Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/backend/test/demos/rpc
2025-03-21T20:21:16.4847254Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/demos/rpc/executor_backend_partitioner.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend/test/demos/rpc
2025-03-21T20:21:16.4849656Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/demos/rpc/executor_backend_preprocess.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend/test/demos/rpc
2025-03-21T20:21:16.4851888Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/backend/test/demos/rpc/test_rpc.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/backend/test/demos/rpc
2025-03-21T20:21:16.4853326Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/capture
2025-03-21T20:21:16.4854541Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/capture/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/capture
2025-03-21T20:21:16.4856212Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/capture/_capture.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/capture
2025-03-21T20:21:16.4857900Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/capture/_config.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/capture
2025-03-21T20:21:16.4859574Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/capture/_unlift.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/capture
2025-03-21T20:21:16.4860802Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/dialects
2025-03-21T20:21:16.4862043Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/dialects
2025-03-21T20:21:16.4863721Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/dialects
2025-03-21T20:21:16.4864986Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/dialects/backend
2025-03-21T20:21:16.4866368Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/backend/_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/dialects/backend
2025-03-21T20:21:16.4868109Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/dialects/backend/test
2025-03-21T20:21:16.4869827Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/backend/test/test_backend_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/dialects/backend/test
2025-03-21T20:21:16.4871361Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/dialects/edge
2025-03-21T20:21:16.4872701Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/dialects/edge
2025-03-21T20:21:16.4874046Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/dialects/edge/arg
2025-03-21T20:21:16.4875487Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/arg/model.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/dialects/edge/arg
2025-03-21T20:21:16.4877423Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/arg/type.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/dialects/edge/arg
2025-03-21T20:21:16.4878833Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/dialects/edge/dtype
2025-03-21T20:21:16.4880306Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/dtype/runner.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/dialects/edge/dtype
2025-03-21T20:21:16.4882350Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/dtype/supported.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/dialects/edge/dtype
2025-03-21T20:21:16.4884386Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/dtype/utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/dialects/edge/dtype
2025-03-21T20:21:16.4885922Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/dialects/edge/op
2025-03-21T20:21:16.4887313Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/op/api.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/dialects/edge/op
2025-03-21T20:21:16.4889277Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/op/sample_input.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/dialects/edge/op
2025-03-21T20:21:16.4890742Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/dialects/edge/op/test
2025-03-21T20:21:16.4892245Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/op/test/test_api.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/dialects/edge/op/test
2025-03-21T20:21:16.4893741Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/dialects/edge/spec
2025-03-21T20:21:16.4895168Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/spec/gen.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/dialects/edge/spec
2025-03-21T20:21:16.4897121Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/spec/utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/dialects/edge/spec
2025-03-21T20:21:16.4898560Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/dialects/edge/test
2025-03-21T20:21:16.4900048Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/test/test_edge_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/dialects/edge/test
2025-03-21T20:21:16.4902106Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/test/test_edge_yaml.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/dialects/edge/test
2025-03-21T20:21:16.4904062Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/edge/edge.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/dialects/edge
2025-03-21T20:21:16.4905397Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/dialects/test
2025-03-21T20:21:16.4906826Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/dialects/test/test_exir_dialect_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/dialects/test
2025-03-21T20:21:16.4908392Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/emit
2025-03-21T20:21:16.4909651Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/emit/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/emit
2025-03-21T20:21:16.4911298Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/emit/_emit_program.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/emit
2025-03-21T20:21:16.4912932Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/emit/_emitter.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/emit
2025-03-21T20:21:16.4914131Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/emit/test
2025-03-21T20:21:16.4915404Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/emit/test/test_emit.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/emit/test
2025-03-21T20:21:16.4916684Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/operator
2025-03-21T20:21:16.4917954Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/operator/convert.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/operator
2025-03-21T20:21:16.4919687Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/operator/manip.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/operator
2025-03-21T20:21:16.4921390Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/operator/util.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/operator
2025-03-21T20:21:16.4922655Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/operator/test
2025-03-21T20:21:16.4924044Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/operator/test/test_operator.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/operator/test
2025-03-21T20:21:16.4925385Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/passes
2025-03-21T20:21:16.4926689Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:16.4928506Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/_quant_patterns_and_replacements.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:16.4930372Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/const_prop_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:16.4932150Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/constant_prop_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:16.4934002Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/debug_handle_generator_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:16.4935874Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/dim_order_ops_registry.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:16.4937733Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/dynamic_shape_prop_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:16.4939640Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/executorch_prim_ops_registry.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:16.4941847Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/external_constants_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:16.4956925Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/init_mutable_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:16.4958826Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/insert_write_back_for_buffers_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:16.4960749Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/memory_format_ops_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:16.4963116Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/memory_planning_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:16.4964995Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/normalize_transpose_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:16.4967025Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/normalize_view_copy_base_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:16.4968862Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/pass_registry.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:16.4970664Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/prune_empty_tensors_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:16.4972496Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/quant_fusion_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:16.4974286Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/quantize_io_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:16.4976118Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/remove_graph_asserts_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:16.4978014Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/remove_mixed_type_operators.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:16.4979856Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/remove_noop_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:16.4981702Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/replace_aten_with_edge_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:16.4983691Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/replace_broken_ops_with_function_ops_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:16.4985691Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/replace_edge_with_backend_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:16.4987587Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/replace_sym_size_op_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:16.4989489Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/replace_view_copy_with_view_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:16.4991377Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/scalar_to_tensor_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:16.4993198Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/spec_prop_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:16.4994970Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/sym_shape_eval_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:16.4996751Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/sym_to_tensor_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:16.4998566Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/passes/weights_to_outputs_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/passes
2025-03-21T20:21:16.4999875Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/program
2025-03-21T20:21:16.5001096Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/program/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/program
2025-03-21T20:21:16.5003078Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/program/_fake_program.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/program
2025-03-21T20:21:16.5004813Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/program/_program.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/program
2025-03-21T20:21:16.5006189Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/program/test
2025-03-21T20:21:16.5007516Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/program/test/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/program/test
2025-03-21T20:21:16.5009385Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/program/test/test_fake_program.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/program/test
2025-03-21T20:21:16.5011299Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/program/test/test_program.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/program/test
2025-03-21T20:21:16.5012631Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/serde
2025-03-21T20:21:16.5013813Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/serde/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/serde
2025-03-21T20:21:16.5015497Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/serde/export_serialize.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/serde
2025-03-21T20:21:16.5017193Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/serde/schema.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/serde
2025-03-21T20:21:16.5018860Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/serde/schema_check.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/serde
2025-03-21T20:21:16.5020551Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/serde/serialize.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/serde
2025-03-21T20:21:16.5022209Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/serde/union.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/serde
2025-03-21T20:21:16.5023837Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/serde/upgrade.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/serde
2025-03-21T20:21:16.5025031Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/tests
2025-03-21T20:21:16.5026233Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/asr_joiner.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:16.5027875Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/common.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:16.5029575Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/control_flow_models.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:16.5031387Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/dynamic_shape_models.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:16.5033106Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/models.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:16.5034805Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_arg_validator.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:16.5036527Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_capture.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:16.5038211Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_common.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:16.5044252Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_delegate.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:16.5046591Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_dim_order_utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:16.5048618Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_dynamic_shape_propagation.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:16.5050445Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_error.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:16.5052139Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_joint_graph.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:16.5053925Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_memory_format_ops_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:16.5055802Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_memory_format_ops_pass_aten.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:16.5172044Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_memory_format_ops_pass_utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:16.5173915Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_memory_planning.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:16.5175664Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_op_convert.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:16.5177378Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_pass_infra.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:16.5179067Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_passes.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:16.5180795Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_print_program.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:16.5182619Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_prune_empty_tensors_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:16.5184456Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_quant_fusion_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:16.5186231Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_quantization.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:16.5187997Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_quantize_io_pass.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:16.5189778Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_remove_view_copy.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:16.5191511Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_serde.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:16.5193212Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_tensor.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:16.5194885Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_tracer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:16.5196605Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_verification.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:16.5198344Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/test_warnings.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:16.5200364Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/tests/transformer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/tests
2025-03-21T20:21:16.5201643Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/verification
2025-03-21T20:21:16.5203177Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/verification/arg_validator.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/verification
2025-03-21T20:21:16.5205072Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/verification/dev_html.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/verification
2025-03-21T20:21:16.5207037Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/verification/interpreter.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/verification
2025-03-21T20:21:16.5208922Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/verification/verifier.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/verification
2025-03-21T20:21:16.5210298Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/exir/verification/test
2025-03-21T20:21:16.5211778Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/verification/test/test_verifier.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir/verification/test
2025-03-21T20:21:16.5213556Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/exir/delegate.pyi -> pip-out/bdist.linux-aarch64/wheel/./executorch/exir
2025-03-21T20:21:16.5214685Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension
2025-03-21T20:21:16.5215485Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/android_test
2025-03-21T20:21:16.5216905Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/android_test/add_model.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/android_test
2025-03-21T20:21:16.5218315Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/export_util
2025-03-21T20:21:16.5219729Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/export_util/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/export_util
2025-03-21T20:21:16.5221635Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/export_util/utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/export_util
2025-03-21T20:21:16.5223019Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/flat_tensor
2025-03-21T20:21:16.5224400Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/flat_tensor/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/flat_tensor
2025-03-21T20:21:16.5225840Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/flat_tensor/serialize
2025-03-21T20:21:16.5227400Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/flat_tensor/serialize/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/flat_tensor/serialize
2025-03-21T20:21:16.5229606Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/flat_tensor/serialize/flat_tensor_schema.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/flat_tensor/serialize
2025-03-21T20:21:16.5231966Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/flat_tensor/serialize/serialize.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/flat_tensor/serialize
2025-03-21T20:21:16.5234197Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/flat_tensor/serialize/flat_tensor.fbs -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/flat_tensor/serialize
2025-03-21T20:21:16.5236414Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/flat_tensor/serialize/scalar_type.fbs -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/flat_tensor/serialize
2025-03-21T20:21:16.5237975Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/flat_tensor/test
2025-03-21T20:21:16.5239504Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/flat_tensor/test/test_serialize.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/flat_tensor/test
2025-03-21T20:21:16.5241437Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/gguf_util
2025-03-21T20:21:16.5243008Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/gguf_util/convert_main.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/gguf_util
2025-03-21T20:21:16.5244931Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/gguf_util/converter.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/gguf_util
2025-03-21T20:21:16.5246906Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/gguf_util/load_gguf.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/gguf_util
2025-03-21T20:21:16.5248336Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/gguf_util/converters
2025-03-21T20:21:16.5249975Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/gguf_util/converters/llama_converter.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/gguf_util/converters
2025-03-21T20:21:16.5251544Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/pybindings
2025-03-21T20:21:16.5252984Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/pybindings/portable_lib.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/pybindings
2025-03-21T20:21:16.5254446Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/pybindings/test
2025-03-21T20:21:16.5255979Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/pybindings/test/make_test.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/pybindings/test
2025-03-21T20:21:16.5258144Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/pybindings/test/test_backend_pybinding.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/pybindings/test
2025-03-21T20:21:16.5260348Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/pybindings/test/test_pybindings.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/pybindings/test
2025-03-21T20:21:16.5261303Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/pybindings/pybindings.pyi -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/pybindings
2025-03-21T20:21:16.5262404Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/pybindings/_portable_lib.cpython-310-aarch64-linux-gnu.so -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/pybindings
2025-03-21T20:21:16.5262753Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/pytree
2025-03-21T20:21:16.5290667Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/pytree/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/pytree
2025-03-21T20:21:16.5291053Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/pytree/test
2025-03-21T20:21:16.5291936Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/pytree/test/test.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/pytree/test
2025-03-21T20:21:16.5292308Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/training
2025-03-21T20:21:16.5293160Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/training/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/training
2025-03-21T20:21:16.5293587Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/training/pybindings
2025-03-21T20:21:16.5294675Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/training/pybindings/_training_module.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/training/pybindings
2025-03-21T20:21:16.5295132Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/training/pybindings/test
2025-03-21T20:21:16.5296195Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/training/pybindings/test/test.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/training/pybindings/test
2025-03-21T20:21:16.5297598Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/training/pybindings/_training_lib.pyi -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/training/pybindings
2025-03-21T20:21:16.5298127Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/training/examples
2025-03-21T20:21:16.5298576Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/training/examples/XOR
2025-03-21T20:21:16.5299659Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/training/examples/XOR/export_model.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/training/examples/XOR
2025-03-21T20:21:16.5300684Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/training/examples/XOR/model.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/training/examples/XOR
2025-03-21T20:21:16.5301152Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/training/examples/XOR/test
2025-03-21T20:21:16.5302287Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/training/examples/XOR/test/test_export.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/training/examples/XOR/test
2025-03-21T20:21:16.5302618Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/llm
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2025-03-21T20:21:16.5304857Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops/custom_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/custom_ops
2025-03-21T20:21:16.5305829Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops/model_sharding.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/custom_ops
2025-03-21T20:21:16.5306789Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops/op_tile_crop_aot.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/custom_ops
2025-03-21T20:21:16.5307809Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops/preprocess_custom_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/custom_ops
2025-03-21T20:21:16.5308837Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops/test_preprocess_custom_ops.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/custom_ops
2025-03-21T20:21:16.5309838Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops/test_sdpa_with_kv_cache.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/custom_ops
2025-03-21T20:21:16.5310816Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops/test_update_cache.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/custom_ops
2025-03-21T20:21:16.5311274Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/llm/custom_ops/spinquant
2025-03-21T20:21:16.5312432Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops/spinquant/special_hadamard_code_gen.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/custom_ops/spinquant
2025-03-21T20:21:16.5312967Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/llm/custom_ops/spinquant/third-party
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2025-03-21T20:21:16.5314811Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops/spinquant/third-party/FFHT/example.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/custom_ops/spinquant/third-party/FFHT
2025-03-21T20:21:16.5316057Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops/spinquant/third-party/FFHT/gen.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/custom_ops/spinquant/third-party/FFHT
2025-03-21T20:21:16.5317270Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/custom_ops/libcustom_ops_aot_lib.so -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/custom_ops
2025-03-21T20:21:16.5317664Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/llm/export
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2025-03-21T20:21:16.5319447Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/export/builder.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/export
2025-03-21T20:21:16.5320375Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/export/export_passes.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/export
2025-03-21T20:21:16.5321341Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/export/partitioner_lib.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/export
2025-03-21T20:21:16.5322276Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/export/quantizer_lib.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/export
2025-03-21T20:21:16.5323234Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/export/test_export_passes.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/export
2025-03-21T20:21:16.5323599Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/llm/modules
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2025-03-21T20:21:16.5325465Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/modules/_position_embeddings.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/modules
2025-03-21T20:21:16.5326524Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/modules/attention.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/modules
2025-03-21T20:21:16.5327419Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/modules/kv_cache.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/modules
2025-03-21T20:21:16.5327817Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/llm/modules/test
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2025-03-21T20:21:16.5329765Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/modules/test/test_attention.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/modules/test
2025-03-21T20:21:16.5330763Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/modules/test/test_kv_cache.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/modules/test
2025-03-21T20:21:16.5331834Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/modules/test/test_position_embeddings.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/modules/test
2025-03-21T20:21:16.5332212Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/llm/tokenizer
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2025-03-21T20:21:16.5334070Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizer/hf_tokenizer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/tokenizer
2025-03-21T20:21:16.5335014Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizer/tokenizer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/tokenizer
2025-03-21T20:21:16.5410650Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizer/utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/tokenizer
2025-03-21T20:21:16.5411161Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/llm/tokenizer/test
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2025-03-21T20:21:16.5412607Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/llm/tokenizers
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2025-03-21T20:21:16.5416477Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers/hf_tokenizer.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/tokenizers/pytorch_tokenizers
2025-03-21T20:21:16.5417672Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers/llama2c.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/tokenizers/pytorch_tokenizers
2025-03-21T20:21:16.5418869Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers/tiktoken.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/tokenizers/pytorch_tokenizers
2025-03-21T20:21:16.5419442Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools
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2025-03-21T20:21:16.5422839Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c/convert.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c
2025-03-21T20:21:16.5423275Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/extension/llm/tokenizers/tools
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2025-03-21T20:21:16.5425222Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/kernels
2025-03-21T20:21:16.5425567Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/kernels/quantized
2025-03-21T20:21:16.5426410Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/kernels/quantized/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/kernels/quantized
2025-03-21T20:21:16.5426777Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/kernels/quantized/test
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2025-03-21T20:21:16.5428783Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/kernels/quantized/test/test_quant_dequant_per_token.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/kernels/quantized/test
2025-03-21T20:21:16.5430177Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/kernels/quantized/test/supported_features_def.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/kernels/quantized/test
2025-03-21T20:21:16.5431073Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/kernels/quantized/quantized.yaml -> pip-out/bdist.linux-aarch64/wheel/./executorch/kernels/quantized
2025-03-21T20:21:16.5432037Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/kernels/quantized/libquantized_ops_aot_lib.so -> pip-out/bdist.linux-aarch64/wheel/./executorch/kernels/quantized
2025-03-21T20:21:16.5432332Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/devtools
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2025-03-21T20:21:16.5433407Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/devtools/backend_debug
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2025-03-21T20:21:16.5435249Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/backend_debug/delegation_info.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/devtools/backend_debug
2025-03-21T20:21:16.5435654Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/devtools/backend_debug/tests
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2025-03-21T20:21:16.5437139Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/devtools/bundled_program
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2025-03-21T20:21:16.5440331Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/schema/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/devtools/bundled_program/schema
2025-03-21T20:21:16.5441441Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/schema/bundled_program_schema.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/devtools/bundled_program/schema
2025-03-21T20:21:16.5442546Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/schema/bundled_program_schema.fbs -> pip-out/bdist.linux-aarch64/wheel/./executorch/devtools/bundled_program/schema
2025-03-21T20:21:16.5443601Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/schema/scalar_type.fbs -> pip-out/bdist.linux-aarch64/wheel/./executorch/devtools/bundled_program/schema
2025-03-21T20:21:16.5444056Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/devtools/bundled_program/serialize
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2025-03-21T20:21:16.5445696Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/serialize/test/test_serialize.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/devtools/bundled_program/serialize/test
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2025-03-21T20:21:16.5447991Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/serialize/bundled_program_schema.fbs -> pip-out/bdist.linux-aarch64/wheel/./executorch/devtools/bundled_program/serialize
2025-03-21T20:21:16.5449471Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/serialize/scalar_type.fbs -> pip-out/bdist.linux-aarch64/wheel/./executorch/devtools/bundled_program/serialize
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2025-03-21T20:21:16.5451959Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/test/test_config.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/devtools/bundled_program/test
2025-03-21T20:21:16.5452967Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/test/test_end2end.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/devtools/bundled_program/test
2025-03-21T20:21:16.5453389Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/devtools/bundled_program/util
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2025-03-21T20:21:16.5455305Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/config.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/devtools/bundled_program
2025-03-21T20:21:16.5543507Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/core.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/devtools/bundled_program
2025-03-21T20:21:16.5544512Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/bundled_program/version.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/devtools/bundled_program
2025-03-21T20:21:16.5544931Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/devtools/debug_format
2025-03-21T20:21:16.5545848Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/debug_format/base_schema.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/devtools/debug_format
2025-03-21T20:21:16.5546736Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/debug_format/et_schema.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/devtools/debug_format
2025-03-21T20:21:16.5547077Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/devtools/etdump
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2025-03-21T20:21:16.5548783Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/etdump/serialize.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/devtools/etdump
2025-03-21T20:21:16.5549148Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/devtools/etdump/tests
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2025-03-21T20:21:16.5551892Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/etdump/scalar_type.fbs -> pip-out/bdist.linux-aarch64/wheel/./executorch/devtools/etdump
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2025-03-21T20:21:16.5553920Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/etrecord/_etrecord.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/devtools/etrecord
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2025-03-21T20:21:16.5556269Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/devtools/inspector
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2025-03-21T20:21:16.5557993Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/inspector/_inspector.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/devtools/inspector
2025-03-21T20:21:16.5558894Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/inspector/_inspector_utils.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/devtools/inspector
2025-03-21T20:21:16.5559796Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/inspector/inspector_cli.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/devtools/inspector
2025-03-21T20:21:16.5560190Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/devtools/inspector/tests
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2025-03-21T20:21:16.5562188Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/inspector/tests/inspector_test.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/devtools/inspector/tests
2025-03-21T20:21:16.5563211Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/devtools/inspector/tests/inspector_utils_test.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/devtools/inspector/tests
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2025-03-21T20:21:16.5566166Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/devtools/visualization
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2025-03-21T20:21:16.5575647Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/util/python_profiler.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/util
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2025-03-21T20:21:16.5577354Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/schema/scalar_type.fbs -> pip-out/bdist.linux-aarch64/wheel/./executorch/schema
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2025-03-21T20:21:16.5738033Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/Half.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:21:16.5739505Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/TypeSafeSignMath.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:21:16.5741039Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/bit_cast.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:21:16.5742512Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/floating_point_utils.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:21:16.5743885Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/irange.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:21:16.5744332Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/include/executorch/runtime/kernel
2025-03-21T20:21:16.5745456Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/kernel/kernel_includes.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/runtime/kernel
2025-03-21T20:21:16.5746625Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/kernel/kernel_runtime_context.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/runtime/kernel
2025-03-21T20:21:16.5747757Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/kernel/operator_registry.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/runtime/kernel
2025-03-21T20:21:16.5748939Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/kernel/thread_parallel_interface.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/runtime/kernel
2025-03-21T20:21:16.5749415Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/include/executorch/runtime/kernel/test
2025-03-21T20:21:16.5750966Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/kernel/test/test_util.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/runtime/kernel/test
2025-03-21T20:21:16.5751624Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/include/executorch/runtime/platform
2025-03-21T20:21:16.5752749Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform/abort.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/runtime/platform
2025-03-21T20:21:16.5753835Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform/assert.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/runtime/platform
2025-03-21T20:21:16.5754917Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform/clock.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/runtime/platform
2025-03-21T20:21:16.5756046Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform/compat_unistd.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/runtime/platform
2025-03-21T20:21:16.5757162Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform/compiler.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/runtime/platform
2025-03-21T20:21:16.5758227Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform/log.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/runtime/platform
2025-03-21T20:21:16.5759340Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform/platform.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/runtime/platform
2025-03-21T20:21:16.5760441Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform/profiler.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/runtime/platform
2025-03-21T20:21:16.5761556Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform/runtime.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/runtime/platform
2025-03-21T20:21:16.5762651Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform/system.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/runtime/platform
2025-03-21T20:21:16.5763738Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform/types.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/runtime/platform
2025-03-21T20:21:16.5764244Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/include/executorch/runtime/platform/test
2025-03-21T20:21:16.5765441Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/runtime/platform/test/stub_platform.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/runtime/platform/test
2025-03-21T20:21:16.5765964Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/include/executorch/extension
2025-03-21T20:21:16.5766466Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/include/executorch/extension/kernel_util
2025-03-21T20:21:16.5767742Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/extension/kernel_util
2025-03-21T20:21:16.5768933Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/kernel_util/meta_programming.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/extension/kernel_util
2025-03-21T20:21:16.5770089Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/kernel_util/type_list.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/extension/kernel_util
2025-03-21T20:21:16.5770682Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/include/executorch/extension/tensor
2025-03-21T20:21:16.5771863Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/tensor/tensor.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/extension/tensor
2025-03-21T20:21:16.5773027Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/tensor/tensor_accessor.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/extension/tensor
2025-03-21T20:21:16.5774140Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/tensor/tensor_ptr.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/extension/tensor
2025-03-21T20:21:16.5775273Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/tensor/tensor_ptr_maker.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/extension/tensor
2025-03-21T20:21:16.5775764Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/include/executorch/extension/threadpool
2025-03-21T20:21:16.5776941Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/threadpool/cpuinfo_utils.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/extension/threadpool
2025-03-21T20:21:16.5778118Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/threadpool/threadpool.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/extension/threadpool
2025-03-21T20:21:16.6422414Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/include/executorch/extension/threadpool/threadpool_guard.h -> pip-out/bdist.linux-aarch64/wheel/./executorch/include/executorch/extension/threadpool
2025-03-21T20:21:16.6422785Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/data
2025-03-21T20:21:16.6423081Z   creating pip-out/bdist.linux-aarch64/wheel/executorch/data/bin
2025-03-21T20:21:16.6423818Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/data/bin/flatc -> pip-out/bdist.linux-aarch64/wheel/./executorch/data/bin
2025-03-21T20:21:16.6424534Z   copying pip-out/lib.linux-aarch64-cpython-310/executorch/data/bin/__init__.py -> pip-out/bdist.linux-aarch64/wheel/./executorch/data/bin
2025-03-21T20:21:16.6424701Z   running install_egg_info
2025-03-21T20:21:16.6425258Z   Copying executorch.egg-info to pip-out/bdist.linux-aarch64/wheel/./executorch-0.6.0a0+be92d7d-py3.10.egg-info
2025-03-21T20:21:16.6425432Z   running install_scripts
2025-03-21T20:21:16.6425865Z   creating pip-out/bdist.linux-aarch64/wheel/executorch-0.6.0a0+be92d7d.dist-info/WHEEL
2025-03-21T20:21:16.6426717Z   creating '/tmp/pip-wheel-tzmnz7u_/.tmp-t05v8w4m/executorch-0.6.0a0+be92d7d-cp310-cp310-linux_aarch64.whl' and adding 'pip-out/bdist.linux-aarch64/wheel' to it
2025-03-21T20:21:16.6426900Z   adding 'executorch/version.py'
2025-03-21T20:21:16.6427201Z   adding 'executorch/backends/apple/coreml/executorchcoreml.pyi'
2025-03-21T20:21:16.6427505Z   adding 'executorch/backends/apple/coreml/compiler/__init__.py'
2025-03-21T20:21:16.6427863Z   adding 'executorch/backends/apple/coreml/compiler/coreml_preprocess.py'
2025-03-21T20:21:16.6428187Z   adding 'executorch/backends/apple/coreml/partition/__init__.py'
2025-03-21T20:21:16.6428562Z   adding 'executorch/backends/apple/coreml/partition/coreml_partitioner.py'
2025-03-21T20:21:16.6428859Z   adding 'executorch/backends/apple/coreml/quantizer/__init__.py'
2025-03-21T20:21:16.6429219Z   adding 'executorch/backends/apple/coreml/quantizer/coreml_quantizer.py'
2025-03-21T20:21:16.6429549Z   adding 'executorch/backends/apple/coreml/runtime/inmemoryfs/setup.py'
2025-03-21T20:21:16.6429954Z   adding 'executorch/backends/apple/coreml/runtime/test/export_stateful_model.py'
2025-03-21T20:21:16.6430318Z   adding 'executorch/backends/apple/coreml/test/test_coreml_partitioner.py'
2025-03-21T20:21:16.6430678Z   adding 'executorch/backends/apple/coreml/test/test_coreml_quantizer.py'
2025-03-21T20:21:16.6431352Z   adding 'executorch/backends/apple/mps/__init__.py'
2025-03-21T20:21:16.6431627Z   adding 'executorch/backends/apple/mps/mps_preprocess.py'
2025-03-21T20:21:16.6431928Z   adding 'executorch/backends/apple/mps/operators/__init__.py'
2025-03-21T20:21:16.6432493Z   adding 'executorch/backends/apple/mps/operators/activation_ops.py'
2025-03-21T20:21:16.6432821Z   adding 'executorch/backends/apple/mps/operators/binary_ops.py'
2025-03-21T20:21:16.6433103Z   adding 'executorch/backends/apple/mps/operators/clamp_ops.py'
2025-03-21T20:21:16.6433418Z   adding 'executorch/backends/apple/mps/operators/constant_ops.py'
2025-03-21T20:21:16.6433745Z   adding 'executorch/backends/apple/mps/operators/convolution_ops.py'
2025-03-21T20:21:16.6434055Z   adding 'executorch/backends/apple/mps/operators/indexing_ops.py'
2025-03-21T20:21:16.6434421Z   adding 'executorch/backends/apple/mps/operators/linear_algebra_ops.py'
2025-03-21T20:21:16.6434731Z   adding 'executorch/backends/apple/mps/operators/node_visitor.py'
2025-03-21T20:21:16.6435083Z   adding 'executorch/backends/apple/mps/operators/normalization_ops.py'
2025-03-21T20:21:16.6435363Z   adding 'executorch/backends/apple/mps/operators/op_clone.py'
2025-03-21T20:21:16.6435669Z   adding 'executorch/backends/apple/mps/operators/op_getitem.py'
2025-03-21T20:21:16.6436001Z   adding 'executorch/backends/apple/mps/operators/op_quant_dequant.py'
2025-03-21T20:21:16.6436305Z   adding 'executorch/backends/apple/mps/operators/op_skip_ops.py'
2025-03-21T20:21:16.6436584Z   adding 'executorch/backends/apple/mps/operators/pad_ops.py'
2025-03-21T20:21:16.6436879Z   adding 'executorch/backends/apple/mps/operators/pooling_ops.py'
2025-03-21T20:21:16.6437164Z   adding 'executorch/backends/apple/mps/operators/range_ops.py'
2025-03-21T20:21:16.6437451Z   adding 'executorch/backends/apple/mps/operators/reduce_ops.py'
2025-03-21T20:21:16.6437743Z   adding 'executorch/backends/apple/mps/operators/shape_ops.py'
2025-03-21T20:21:16.6438027Z   adding 'executorch/backends/apple/mps/operators/unary_ops.py'
2025-03-21T20:21:16.6438319Z   adding 'executorch/backends/apple/mps/partition/__init__.py'
2025-03-21T20:21:16.6438653Z   adding 'executorch/backends/apple/mps/partition/mps_partitioner.py'
2025-03-21T20:21:16.6439019Z   adding 'executorch/backends/apple/mps/serialization/mps_graph_schema.py'
2025-03-21T20:21:16.6439404Z   adding 'executorch/backends/apple/mps/serialization/mps_graph_serialize.py'
2025-03-21T20:21:16.6439700Z   adding 'executorch/backends/apple/mps/serialization/schema.fbs'
2025-03-21T20:21:16.6440147Z   adding 'executorch/backends/apple/mps/test/test_mps.py'
2025-03-21T20:21:16.6440463Z   adding 'executorch/backends/apple/mps/test/test_mps_binary_ops.py'
2025-03-21T20:21:16.6440803Z   adding 'executorch/backends/apple/mps/test/test_mps_indexing_ops.py'
2025-03-21T20:21:16.6441095Z   adding 'executorch/backends/apple/mps/test/test_mps_linear.py'
2025-03-21T20:21:16.6441381Z   adding 'executorch/backends/apple/mps/test/test_mps_models.py'
2025-03-21T20:21:16.6441703Z   adding 'executorch/backends/apple/mps/test/test_mps_unary_ops.py'
2025-03-21T20:21:16.6441982Z   adding 'executorch/backends/apple/mps/test/test_mps_utils.py'
2025-03-21T20:21:16.6442250Z   adding 'executorch/backends/apple/mps/utils/mps_utils.py'
2025-03-21T20:21:16.6442536Z   adding 'executorch/backends/apple/mps/utils/quant_utils.py'
2025-03-21T20:21:16.6442752Z   adding 'executorch/backends/arm/arm_backend.py'
2025-03-21T20:21:16.6442962Z   adding 'executorch/backends/arm/arm_vela.py'
2025-03-21T20:21:16.6443188Z   adding 'executorch/backends/arm/ethosu_backend.py'
2025-03-21T20:21:16.6443447Z   adding 'executorch/backends/arm/ethosu_partitioner.py'
2025-03-21T20:21:16.6443669Z   adding 'executorch/backends/arm/process_node.py'
2025-03-21T20:21:16.6443894Z   adding 'executorch/backends/arm/tosa_backend.py'
2025-03-21T20:21:16.6444115Z   adding 'executorch/backends/arm/tosa_mapping.py'
2025-03-21T20:21:16.6444354Z   adding 'executorch/backends/arm/tosa_partitioner.py'
2025-03-21T20:21:16.6444859Z   adding 'executorch/backends/arm/tosa_quant_utils.py'
2025-03-21T20:21:16.6445106Z   adding 'executorch/backends/arm/tosa_specification.py'
2025-03-21T20:21:16.6445311Z   adding 'executorch/backends/arm/tosa_utils.py'
2025-03-21T20:21:16.6445706Z   adding 'executorch/backends/arm/_passes/_debug_passes.py'
2025-03-21T20:21:16.6446240Z   adding 'executorch/backends/arm/_passes/annotate_channels_last_dim_order_pass.py'
2025-03-21T20:21:16.6446584Z   adding 'executorch/backends/arm/_passes/annotate_decomposed_matmul.py'
2025-03-21T20:21:16.6446860Z   adding 'executorch/backends/arm/_passes/arm_pass_manager.py'
2025-03-21T20:21:16.6447128Z   adding 'executorch/backends/arm/_passes/arm_pass_utils.py'
2025-03-21T20:21:16.6447400Z   adding 'executorch/backends/arm/_passes/cast_int64_pass.py'
2025-03-21T20:21:16.6447720Z   adding 'executorch/backends/arm/_passes/conv1d_unsqueeze_pass.py'
2025-03-21T20:21:16.6448100Z   adding 'executorch/backends/arm/_passes/convert_any_default_dim_dims_pass.py'
2025-03-21T20:21:16.6448470Z   adding 'executorch/backends/arm/_passes/convert_expand_copy_to_repeat.py'
2025-03-21T20:21:16.6448825Z   adding 'executorch/backends/arm/_passes/convert_full_like_to_full_pass.py'
2025-03-21T20:21:16.6449127Z   adding 'executorch/backends/arm/_passes/convert_minmax_pass.py'
2025-03-21T20:21:16.6449451Z   adding 'executorch/backends/arm/_passes/convert_split_to_slice.py'
2025-03-21T20:21:16.6449774Z   adding 'executorch/backends/arm/_passes/convert_squeezes_to_view.py'
2025-03-21T20:21:16.6450057Z   adding 'executorch/backends/arm/_passes/convert_to_clamp.py'
2025-03-21T20:21:16.6450385Z   adding 'executorch/backends/arm/_passes/decompose_batchnorm_pass.py'
2025-03-21T20:21:16.6450682Z   adding 'executorch/backends/arm/_passes/decompose_div_pass.py'
2025-03-21T20:21:16.6451012Z   adding 'executorch/backends/arm/_passes/decompose_layernorm_pass.py'
2025-03-21T20:21:16.6451320Z   adding 'executorch/backends/arm/_passes/decompose_linear_pass.py'
2025-03-21T20:21:16.6451646Z   adding 'executorch/backends/arm/_passes/decompose_meandim_pass.py'
2025-03-21T20:21:16.6451930Z   adding 'executorch/backends/arm/_passes/decompose_select.py'
2025-03-21T20:21:16.6452249Z   adding 'executorch/backends/arm/_passes/decompose_softmax_pass.py'
2025-03-21T20:21:16.6452622Z   adding 'executorch/backends/arm/_passes/decompose_softmax_unstable_pass.py'
2025-03-21T20:21:16.6452918Z   adding 'executorch/backends/arm/_passes/decompose_var_pass.py'
2025-03-21T20:21:16.6453309Z   adding 'executorch/backends/arm/_passes/fold_qdq_with_annotated_qparams_pass.py'
2025-03-21T20:21:16.6453622Z   adding 'executorch/backends/arm/_passes/fuse_batchnorm2d_pass.py'
2025-03-21T20:21:16.6453960Z   adding 'executorch/backends/arm/_passes/fuse_constant_ops_pass.py'
2025-03-21T20:21:16.6454326Z   adding 'executorch/backends/arm/_passes/fuse_quantized_activation_pass.py'
2025-03-21T20:21:16.6454638Z   adding 'executorch/backends/arm/_passes/insert_rescales_pass.py'
2025-03-21T20:21:16.6454920Z   adding 'executorch/backends/arm/_passes/insert_table_ops.py'
2025-03-21T20:21:16.6455303Z   adding 'executorch/backends/arm/_passes/keep_dims_false_to_squeeze_pass.py'
2025-03-21T20:21:16.6455607Z   adding 'executorch/backends/arm/_passes/match_arg_ranks_pass.py'
2025-03-21T20:21:16.6455960Z   adding 'executorch/backends/arm/_passes/meandim_to_averagepool_pass.py'
2025-03-21T20:21:16.6456233Z   adding 'executorch/backends/arm/_passes/mm_to_bmm_pass.py'
2025-03-21T20:21:16.6456508Z   adding 'executorch/backends/arm/_passes/remove_clone_pass.py'
2025-03-21T20:21:16.6456839Z   adding 'executorch/backends/arm/_passes/scalars_to_attribute_pass.py'
2025-03-21T20:21:16.6457152Z   adding 'executorch/backends/arm/_passes/size_adjust_conv2d_pass.py'
2025-03-21T20:21:16.6457505Z   adding 'executorch/backends/arm/_passes/unsqueeze_before_repeat_pass.py'
2025-03-21T20:21:16.6457887Z   adding 'executorch/backends/arm/_passes/unsqueeze_scalar_placeholders_pass.py'
2025-03-21T20:21:16.6458174Z   adding 'executorch/backends/arm/operator_support/__init__.py'
2025-03-21T20:21:16.6458710Z   adding 'executorch/backends/arm/operator_support/convolution_support.py'
2025-03-21T20:21:16.6459048Z   adding 'executorch/backends/arm/operator_support/minmax_support.py'
2025-03-21T20:21:16.6459490Z   adding 'executorch/backends/arm/operator_support/pool_2d_support.py'
2025-03-21T20:21:16.6459860Z   adding 'executorch/backends/arm/operator_support/reduce_sum_support.py'
2025-03-21T20:21:16.6460219Z   adding 'executorch/backends/arm/operator_support/right_shift_support.py'
2025-03-21T20:21:16.6460566Z   adding 'executorch/backends/arm/operator_support/slice_copy_support.py'
2025-03-21T20:21:16.6460900Z   adding 'executorch/backends/arm/operator_support/to_copy_support.py'
2025-03-21T20:21:16.6461299Z   adding 'executorch/backends/arm/operator_support/tosa_supported_operators.py'
2025-03-21T20:21:16.6461547Z   adding 'executorch/backends/arm/operators/__init__.py'
2025-03-21T20:21:16.6863980Z   adding 'executorch/backends/arm/operators/node_visitor.py'
2025-03-21T20:21:16.6864267Z   adding 'executorch/backends/arm/operators/op_abs.py'
2025-03-21T20:21:16.6864546Z   adding 'executorch/backends/arm/operators/op_add.py'
2025-03-21T20:21:16.6864790Z   adding 'executorch/backends/arm/operators/op_amax.py'
2025-03-21T20:21:16.6865056Z   adding 'executorch/backends/arm/operators/op_amin.py'
2025-03-21T20:21:16.6865299Z   adding 'executorch/backends/arm/operators/op_any.py'
2025-03-21T20:21:16.6865577Z   adding 'executorch/backends/arm/operators/op_avg_pool2d.py'
2025-03-21T20:21:16.6865818Z   adding 'executorch/backends/arm/operators/op_bmm.py'
2025-03-21T20:21:16.6866045Z   adding 'executorch/backends/arm/operators/op_cat.py'
2025-03-21T20:21:16.6866295Z   adding 'executorch/backends/arm/operators/op_clamp.py'
2025-03-21T20:21:16.6866604Z   adding 'executorch/backends/arm/operators/op_constant_pad_nd.py'
2025-03-21T20:21:16.6866873Z   adding 'executorch/backends/arm/operators/op_conv2d.py'
2025-03-21T20:21:16.6867109Z   adding 'executorch/backends/arm/operators/op_eq.py'
2025-03-21T20:21:16.6867348Z   adding 'executorch/backends/arm/operators/op_exp.py'
2025-03-21T20:21:16.6867593Z   adding 'executorch/backends/arm/operators/op_full.py'
2025-03-21T20:21:16.6867819Z   adding 'executorch/backends/arm/operators/op_ge.py'
2025-03-21T20:21:16.6868093Z   adding 'executorch/backends/arm/operators/op_get_item.py'
2025-03-21T20:21:16.6868325Z   adding 'executorch/backends/arm/operators/op_gt.py'
2025-03-21T20:21:16.6868565Z   adding 'executorch/backends/arm/operators/op_le.py'
2025-03-21T20:21:16.6868803Z   adding 'executorch/backends/arm/operators/op_log.py'
2025-03-21T20:21:16.6869093Z   adding 'executorch/backends/arm/operators/op_lt.py'
2025-03-21T20:21:16.6869362Z   adding 'executorch/backends/arm/operators/op_max_pool2d.py'
2025-03-21T20:21:16.6869626Z   adding 'executorch/backends/arm/operators/op_maximum.py'
2025-03-21T20:21:16.6869881Z   adding 'executorch/backends/arm/operators/op_minimum.py'
2025-03-21T20:21:16.6870113Z   adding 'executorch/backends/arm/operators/op_mul.py'
2025-03-21T20:21:16.6870388Z   adding 'executorch/backends/arm/operators/op_permute.py'
2025-03-21T20:21:16.6870672Z   adding 'executorch/backends/arm/operators/op_reciprocal.py'
2025-03-21T20:21:16.6870937Z   adding 'executorch/backends/arm/operators/op_repeat.py'
2025-03-21T20:21:16.6871213Z   adding 'executorch/backends/arm/operators/op_rescale.py'
2025-03-21T20:21:16.6871483Z   adding 'executorch/backends/arm/operators/op_rshift.py'
2025-03-21T20:21:16.6871735Z   adding 'executorch/backends/arm/operators/op_rsqrt.py'
2025-03-21T20:21:16.6871993Z   adding 'executorch/backends/arm/operators/op_sigmoid.py'
2025-03-21T20:21:16.6872255Z   adding 'executorch/backends/arm/operators/op_slice.py'
2025-03-21T20:21:16.6872489Z   adding 'executorch/backends/arm/operators/op_sub.py'
2025-03-21T20:21:16.6872736Z   adding 'executorch/backends/arm/operators/op_sum.py'
2025-03-21T20:21:16.6872991Z   adding 'executorch/backends/arm/operators/op_table.py'
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2025-03-21T20:21:16.6874278Z   adding 'executorch/backends/arm/operators/op_to_dim_order_copy.py'
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2025-03-21T20:21:16.6875073Z   adding 'executorch/backends/arm/operators/op_upsample_nearest2d.py'
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2025-03-21T20:21:16.6875600Z   adding 'executorch/backends/arm/operators/ops_binary.py'
2025-03-21T20:21:16.6875855Z   adding 'executorch/backends/arm/operators/ops_unary.py'
2025-03-21T20:21:16.6876091Z   adding 'executorch/backends/arm/quantizer/__init__.py'
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2025-03-21T20:21:16.6876669Z   adding 'executorch/backends/arm/quantizer/arm_quantizer_utils.py'
2025-03-21T20:21:16.6876991Z   adding 'executorch/backends/arm/quantizer/quantization_annotator.py'
2025-03-21T20:21:16.6877310Z   adding 'executorch/backends/arm/quantizer/quantization_config.py'
2025-03-21T20:21:16.6877518Z   adding 'executorch/backends/arm/test/common.py'
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2025-03-21T20:21:16.6878522Z   adding 'executorch/backends/arm/test/misc/test_custom_partition.py'
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2025-03-21T20:21:16.6879419Z   adding 'executorch/backends/arm/test/misc/test_lifted_tensor.py'
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2025-03-21T20:21:16.6880383Z   adding 'executorch/backends/arm/test/misc/test_multiple_outputs.py'
2025-03-21T20:21:16.6880831Z   adding 'executorch/backends/arm/test/misc/test_partition_decomposed_quantized_ops.py'
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2025-03-21T20:21:16.6882203Z   adding 'executorch/backends/arm/test/models/test_lstm_arm.py'
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2025-03-21T20:21:16.6883991Z   adding 'executorch/backends/arm/test/ops/test_abs.py'
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2025-03-21T20:21:16.6884473Z   adding 'executorch/backends/arm/test/ops/test_amax.py'
2025-03-21T20:21:16.6884723Z   adding 'executorch/backends/arm/test/ops/test_amin.py'
2025-03-21T20:21:16.6884955Z   adding 'executorch/backends/arm/test/ops/test_any.py'
2025-03-21T20:21:16.6885234Z   adding 'executorch/backends/arm/test/ops/test_avg_pool2d.py'
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2025-03-21T20:21:16.6885764Z   adding 'executorch/backends/arm/test/ops/test_bitwise.py'
2025-03-21T20:21:16.6886135Z   adding 'executorch/backends/arm/test/ops/test_bmm.py'
2025-03-21T20:21:16.6886369Z   adding 'executorch/backends/arm/test/ops/test_cat.py'
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2025-03-21T20:21:16.6887059Z   adding 'executorch/backends/arm/test/ops/test_clone.py'
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2025-03-21T20:21:16.6887711Z   adding 'executorch/backends/arm/test/ops/test_conv1d.py'
2025-03-21T20:21:16.6887983Z   adding 'executorch/backends/arm/test/ops/test_conv2d.py'
2025-03-21T20:21:16.6888269Z   adding 'executorch/backends/arm/test/ops/test_conv_combos.py'
2025-03-21T20:21:16.6888569Z   adding 'executorch/backends/arm/test/ops/test_depthwise_conv.py'
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2025-03-21T20:21:16.6889033Z   adding 'executorch/backends/arm/test/ops/test_eq.py'
2025-03-21T20:21:16.6889272Z   adding 'executorch/backends/arm/test/ops/test_exp.py'
2025-03-21T20:21:16.6889526Z   adding 'executorch/backends/arm/test/ops/test_expand.py'
2025-03-21T20:21:16.6889775Z   adding 'executorch/backends/arm/test/ops/test_floor.py'
2025-03-21T20:21:16.6890038Z   adding 'executorch/backends/arm/test/ops/test_full.py'
2025-03-21T20:21:16.6890269Z   adding 'executorch/backends/arm/test/ops/test_ge.py'
2025-03-21T20:21:16.6890508Z   adding 'executorch/backends/arm/test/ops/test_gt.py'
2025-03-21T20:21:16.6890797Z   adding 'executorch/backends/arm/test/ops/test_hardsigmoid.py'
2025-03-21T20:21:16.6891081Z   adding 'executorch/backends/arm/test/ops/test_hardswish.py'
2025-03-21T20:21:16.6891355Z   adding 'executorch/backends/arm/test/ops/test_hardtanh.py'
2025-03-21T20:21:16.6891629Z   adding 'executorch/backends/arm/test/ops/test_layer_norm.py'
2025-03-21T20:21:16.6891873Z   adding 'executorch/backends/arm/test/ops/test_le.py'
2025-03-21T20:21:16.6892125Z   adding 'executorch/backends/arm/test/ops/test_linear.py'
2025-03-21T20:21:16.6892369Z   adding 'executorch/backends/arm/test/ops/test_log.py'
2025-03-21T20:21:16.6892632Z   adding 'executorch/backends/arm/test/ops/test_logical.py'
2025-03-21T20:21:16.6892920Z   adding 'executorch/backends/arm/test/ops/test_logsoftmax.py'
2025-03-21T20:21:16.6893158Z   adding 'executorch/backends/arm/test/ops/test_lt.py'
2025-03-21T20:21:16.6893418Z   adding 'executorch/backends/arm/test/ops/test_max_pool.py'
2025-03-21T20:21:16.6893683Z   adding 'executorch/backends/arm/test/ops/test_maximum.py'
2025-03-21T20:21:16.6893952Z   adding 'executorch/backends/arm/test/ops/test_mean_dim.py'
2025-03-21T20:21:16.6894215Z   adding 'executorch/backends/arm/test/ops/test_minimum.py'
2025-03-21T20:21:16.6894447Z   adding 'executorch/backends/arm/test/ops/test_mm.py'
2025-03-21T20:21:16.6894693Z   adding 'executorch/backends/arm/test/ops/test_mul.py'
2025-03-21T20:21:16.6894948Z   adding 'executorch/backends/arm/test/ops/test_permute.py'
2025-03-21T20:21:16.6895220Z   adding 'executorch/backends/arm/test/ops/test_reciprocal.py'
2025-03-21T20:21:16.6895467Z   adding 'executorch/backends/arm/test/ops/test_relu.py'
2025-03-21T20:21:16.6895719Z   adding 'executorch/backends/arm/test/ops/test_repeat.py'
2025-03-21T20:21:16.6895983Z   adding 'executorch/backends/arm/test/ops/test_rshift.py'
2025-03-21T20:21:16.6896239Z   adding 'executorch/backends/arm/test/ops/test_rsqrt.py'
2025-03-21T20:21:16.6896504Z   adding 'executorch/backends/arm/test/ops/test_scalars.py'
2025-03-21T20:21:16.6896769Z   adding 'executorch/backends/arm/test/ops/test_select.py'
2025-03-21T20:21:16.6897024Z   adding 'executorch/backends/arm/test/ops/test_sigmoid.py'
2025-03-21T20:21:16.6897317Z   adding 'executorch/backends/arm/test/ops/test_sigmoid_16bit.py'
2025-03-21T20:21:16.6897607Z   adding 'executorch/backends/arm/test/ops/test_sigmoid_32bit.py'
2025-03-21T20:21:16.6897863Z   adding 'executorch/backends/arm/test/ops/test_slice.py'
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2025-03-21T20:21:16.6898372Z   adding 'executorch/backends/arm/test/ops/test_split.py'
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2025-03-21T20:21:16.6901127Z   adding 'executorch/backends/arm/test/ops/test_view.py'
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2025-03-21T20:21:16.7352729Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/Op.py'
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2025-03-21T20:21:16.7354846Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/RescaleAttribute.py'
2025-03-21T20:21:16.7355331Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ReshapeAttribute.py'
2025-03-21T20:21:16.7355856Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ResizeAttribute.py'
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2025-03-21T20:21:16.7356807Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/SliceAttribute.py'
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2025-03-21T20:21:16.7362484Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/__init__.py'
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2025-03-21T20:21:16.7364346Z   adding 'executorch/backends/cadence/aot/__init__.py'
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2025-03-21T20:21:16.7364858Z   adding 'executorch/backends/cadence/aot/compiler_utils.py'
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2025-03-21T20:21:16.7365748Z   adding 'executorch/backends/cadence/aot/functions_fusion_g3.yaml'
2025-03-21T20:21:16.7366171Z   adding 'executorch/backends/cadence/aot/functions_hifi.yaml'
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2025-03-21T20:21:16.7366668Z   adding 'executorch/backends/cadence/aot/graph_builder.py'
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2025-03-21T20:21:16.7733659Z   adding 'executorch/backends/example/example_operators/op_base.py'
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2025-03-21T20:21:16.7734253Z   adding 'executorch/backends/example/example_operators/utils.py'
2025-03-21T20:21:16.7734468Z   adding 'executorch/backends/mediatek/__init__.py'
2025-03-21T20:21:16.7734715Z   adding 'executorch/backends/mediatek/partitioner.py'
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2025-03-21T20:21:16.7735217Z   adding 'executorch/backends/mediatek/_passes/__init__.py'
2025-03-21T20:21:16.7735659Z   adding 'executorch/backends/mediatek/_passes/decompose_scaled_dot_product_attention.py'
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2025-03-21T20:21:16.7736236Z   adding 'executorch/backends/mediatek/quantizer/annotator.py'
2025-03-21T20:21:16.7736502Z   adding 'executorch/backends/mediatek/quantizer/qconfig.py'
2025-03-21T20:21:16.7736793Z   adding 'executorch/backends/mediatek/quantizer/quantizer.py'
2025-03-21T20:21:16.7737048Z   adding 'executorch/backends/qualcomm/qnn_preprocess.py'
2025-03-21T20:21:16.7737309Z   adding 'executorch/backends/qualcomm/_passes/__init__.py'
2025-03-21T20:21:16.7737639Z   adding 'executorch/backends/qualcomm/_passes/annotate_decomposed.py'
2025-03-21T20:21:16.7737982Z   adding 'executorch/backends/qualcomm/_passes/annotate_quant_attrs.py'
2025-03-21T20:21:16.7738277Z   adding 'executorch/backends/qualcomm/_passes/build_quant_io.py'
2025-03-21T20:21:16.7738595Z   adding 'executorch/backends/qualcomm/_passes/constant_i64_to_i32.py'
2025-03-21T20:21:16.7738933Z   adding 'executorch/backends/qualcomm/_passes/convert_bmm_to_matmul.py'
2025-03-21T20:21:16.7739355Z   adding 'executorch/backends/qualcomm/_passes/convert_interpolate_with_upsample2d.py'
2025-03-21T20:21:16.7739687Z   adding 'executorch/backends/qualcomm/_passes/convert_to_linear.py'
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2025-03-21T20:21:16.7740480Z   adding 'executorch/backends/qualcomm/_passes/decompose_einsum.py'
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2025-03-21T20:21:16.7741151Z   adding 'executorch/backends/qualcomm/_passes/decompose_silu.py'
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2025-03-21T20:21:16.7748335Z   adding 'executorch/backends/qualcomm/builders/op_adaptive_avg_pool2d.py'
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2025-03-21T20:21:16.7749428Z   adding 'executorch/backends/qualcomm/builders/op_avg_pool2d.py'
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2025-03-21T20:21:16.7750253Z   adding 'executorch/backends/qualcomm/builders/op_cat.py'
2025-03-21T20:21:16.7750512Z   adding 'executorch/backends/qualcomm/builders/op_ceil.py'
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2025-03-21T20:21:16.7751170Z   adding 'executorch/backends/qualcomm/builders/op_conv2d.py'
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2025-03-21T20:21:16.7751855Z   adding 'executorch/backends/qualcomm/builders/op_depth_to_space.py'
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2025-03-21T20:21:16.7752755Z   adding 'executorch/backends/qualcomm/builders/op_div.py'
2025-03-21T20:21:16.8178230Z   adding 'executorch/backends/qualcomm/builders/op_embedding.py'
2025-03-21T20:21:16.8178613Z   adding 'executorch/backends/qualcomm/builders/op_eq.py'
2025-03-21T20:21:16.8178928Z   adding 'executorch/backends/qualcomm/builders/op_expand.py'
2025-03-21T20:21:16.8179303Z   adding 'executorch/backends/qualcomm/builders/op_full.py'
2025-03-21T20:21:16.8179669Z   adding 'executorch/backends/qualcomm/builders/op_full_like.py'
2025-03-21T20:21:16.8179978Z   adding 'executorch/backends/qualcomm/builders/op_ge.py'
2025-03-21T20:21:16.8180305Z   adding 'executorch/backends/qualcomm/builders/op_gelu.py'
2025-03-21T20:21:16.8180792Z   adding 'executorch/backends/qualcomm/builders/op_group_norm.py'
2025-03-21T20:21:16.8181200Z   adding 'executorch/backends/qualcomm/builders/op_gt.py'
2025-03-21T20:21:16.8181539Z   adding 'executorch/backends/qualcomm/builders/op_hardsigmoid.py'
2025-03-21T20:21:16.8181861Z   adding 'executorch/backends/qualcomm/builders/op_hardswish.py'
2025-03-21T20:21:16.8182217Z   adding 'executorch/backends/qualcomm/builders/op_hardtanh.py'
2025-03-21T20:21:16.8182512Z   adding 'executorch/backends/qualcomm/builders/op_index.py'
2025-03-21T20:21:16.8182955Z   adding 'executorch/backends/qualcomm/builders/op_index_put.py'
2025-03-21T20:21:16.8183687Z   adding 'executorch/backends/qualcomm/builders/op_instance_norm.py'
2025-03-21T20:21:16.8184049Z   adding 'executorch/backends/qualcomm/builders/op_layer_norm.py'
2025-03-21T20:21:16.8184523Z   adding 'executorch/backends/qualcomm/builders/op_le.py'
2025-03-21T20:21:16.8184894Z   adding 'executorch/backends/qualcomm/builders/op_linear.py'
2025-03-21T20:21:16.8185278Z   adding 'executorch/backends/qualcomm/builders/op_log.py'
2025-03-21T20:21:16.8185644Z   adding 'executorch/backends/qualcomm/builders/op_log_softmax.py'
2025-03-21T20:21:16.8186017Z   adding 'executorch/backends/qualcomm/builders/op_logical_not.py'
2025-03-21T20:21:16.8186304Z   adding 'executorch/backends/qualcomm/builders/op_lt.py'
2025-03-21T20:21:16.8186663Z   adding 'executorch/backends/qualcomm/builders/op_matmul.py'
2025-03-21T20:21:16.8186950Z   adding 'executorch/backends/qualcomm/builders/op_max.py'
2025-03-21T20:21:16.8187426Z   adding 'executorch/backends/qualcomm/builders/op_max_pool2d.py'
2025-03-21T20:21:16.8187769Z   adding 'executorch/backends/qualcomm/builders/op_mean_dim.py'
2025-03-21T20:21:16.8188076Z   adding 'executorch/backends/qualcomm/builders/op_min.py'
2025-03-21T20:21:16.8188437Z   adding 'executorch/backends/qualcomm/builders/op_mul.py'
2025-03-21T20:21:16.8188801Z   adding 'executorch/backends/qualcomm/builders/op_ne.py'
2025-03-21T20:21:16.8189234Z   adding 'executorch/backends/qualcomm/builders/op_neg.py'
2025-03-21T20:21:16.8189550Z   adding 'executorch/backends/qualcomm/builders/op_or.py'
2025-03-21T20:21:16.8189876Z   adding 'executorch/backends/qualcomm/builders/op_pad.py'
2025-03-21T20:21:16.8190178Z   adding 'executorch/backends/qualcomm/builders/op_pow.py'
2025-03-21T20:21:16.8190512Z   adding 'executorch/backends/qualcomm/builders/op_prelu.py'
2025-03-21T20:21:16.8190856Z   adding 'executorch/backends/qualcomm/builders/op_quantize.py'
2025-03-21T20:21:16.8191308Z   adding 'executorch/backends/qualcomm/builders/op_relu.py'
2025-03-21T20:21:16.8191634Z   adding 'executorch/backends/qualcomm/builders/op_repeat.py'
2025-03-21T20:21:16.8191942Z   adding 'executorch/backends/qualcomm/builders/op_reshape.py'
2025-03-21T20:21:16.8192308Z   adding 'executorch/backends/qualcomm/builders/op_rms_norm.py'
2025-03-21T20:21:16.8192621Z   adding 'executorch/backends/qualcomm/builders/op_rsqrt.py'
2025-03-21T20:21:16.8193042Z   adding 'executorch/backends/qualcomm/builders/op_select_copy.py'
2025-03-21T20:21:16.8193360Z   adding 'executorch/backends/qualcomm/builders/op_sigmoid.py'
2025-03-21T20:21:16.8193681Z   adding 'executorch/backends/qualcomm/builders/op_sin.py'
2025-03-21T20:21:16.8194019Z   adding 'executorch/backends/qualcomm/builders/op_skip_ops.py'
2025-03-21T20:21:16.8194363Z   adding 'executorch/backends/qualcomm/builders/op_slice_copy.py'
2025-03-21T20:21:16.8194710Z   adding 'executorch/backends/qualcomm/builders/op_softmax.py'
2025-03-21T20:21:16.8195125Z   adding 'executorch/backends/qualcomm/builders/op_space_to_depth.py'
2025-03-21T20:21:16.8195565Z   adding 'executorch/backends/qualcomm/builders/op_split_with_sizes.py'
2025-03-21T20:21:16.8195870Z   adding 'executorch/backends/qualcomm/builders/op_sqrt.py'
2025-03-21T20:21:16.8196206Z   adding 'executorch/backends/qualcomm/builders/op_squeeze.py'
2025-03-21T20:21:16.8196559Z   adding 'executorch/backends/qualcomm/builders/op_sub.py'
2025-03-21T20:21:16.8196997Z   adding 'executorch/backends/qualcomm/builders/op_sum_int_list.py'
2025-03-21T20:21:16.8197319Z   adding 'executorch/backends/qualcomm/builders/op_tanh.py'
2025-03-21T20:21:16.8197611Z   adding 'executorch/backends/qualcomm/builders/op_to.py'
2025-03-21T20:21:16.8197945Z   adding 'executorch/backends/qualcomm/builders/op_topk.py'
2025-03-21T20:21:16.8198263Z   adding 'executorch/backends/qualcomm/builders/op_transpose.py'
2025-03-21T20:21:16.8198593Z   adding 'executorch/backends/qualcomm/builders/op_unsqueeze.py'
2025-03-21T20:21:16.8199068Z   adding 'executorch/backends/qualcomm/builders/op_upsample_bilinear2d.py'
2025-03-21T20:21:16.8199669Z   adding 'executorch/backends/qualcomm/builders/op_upsample_nearest2d.py'
2025-03-21T20:21:16.8199977Z   adding 'executorch/backends/qualcomm/builders/op_where.py'
2025-03-21T20:21:16.8200308Z   adding 'executorch/backends/qualcomm/builders/qnn_constants.py'
2025-03-21T20:21:16.8200728Z   adding 'executorch/backends/qualcomm/builders/utils.py'
2025-03-21T20:21:16.8201012Z   adding 'executorch/backends/qualcomm/debugger/utils.py'
2025-03-21T20:21:16.8201485Z   adding 'executorch/backends/qualcomm/partition/common_defs.py'
2025-03-21T20:21:16.8201855Z   adding 'executorch/backends/qualcomm/partition/qnn_partitioner.py'
2025-03-21T20:21:16.8202180Z   adding 'executorch/backends/qualcomm/partition/utils.py'
2025-03-21T20:21:16.8202500Z   adding 'executorch/backends/qualcomm/quantizer/annotators.py'
2025-03-21T20:21:16.8202872Z   adding 'executorch/backends/qualcomm/quantizer/custom_annotation.py'
2025-03-21T20:21:16.8203275Z   adding 'executorch/backends/qualcomm/quantizer/qconfig.py'
2025-03-21T20:21:16.8203610Z   adding 'executorch/backends/qualcomm/quantizer/quantizer.py'
2025-03-21T20:21:16.8204191Z   adding 'executorch/backends/qualcomm/quantizer/observers/per_channel_param_observer.py'
2025-03-21T20:21:16.8204607Z   adding 'executorch/backends/qualcomm/serialization/qc_compiler_spec.fbs'
2025-03-21T20:21:16.8204978Z   adding 'executorch/backends/qualcomm/serialization/qc_schema.py'
2025-03-21T20:21:16.8205388Z   adding 'executorch/backends/qualcomm/serialization/qc_schema_serialize.py'
2025-03-21T20:21:16.8205911Z   adding 'executorch/backends/qualcomm/tests/models.py'
2025-03-21T20:21:16.8206272Z   adding 'executorch/backends/qualcomm/tests/test_qnn_delegate.py'
2025-03-21T20:21:16.8206535Z   adding 'executorch/backends/qualcomm/tests/utils.py'
2025-03-21T20:21:16.8206848Z   adding 'executorch/backends/qualcomm/utils/constants.py'
2025-03-21T20:21:16.8207137Z   adding 'executorch/backends/qualcomm/utils/utils.py'
2025-03-21T20:21:16.8207500Z   adding 'executorch/backends/transforms/__init__.py'
2025-03-21T20:21:16.8207840Z   adding 'executorch/backends/transforms/addmm_mm_to_linear.py'
2025-03-21T20:21:16.8208199Z   adding 'executorch/backends/transforms/convert_dtype_pass.py'
2025-03-21T20:21:16.8208512Z   adding 'executorch/backends/transforms/decompose_sdpa.py'
2025-03-21T20:21:16.8208933Z   adding 'executorch/backends/transforms/duplicate_dynamic_quant_chain.py'
2025-03-21T20:21:16.8209354Z   adding 'executorch/backends/transforms/fuse_batch_norm_with_conv.py'
2025-03-21T20:21:16.8209763Z   adding 'executorch/backends/transforms/fuse_conv_with_clamp.py'
2025-03-21T20:21:16.8210140Z   adding 'executorch/backends/transforms/fuse_dequant_linear.py'
2025-03-21T20:21:16.8210429Z   adding 'executorch/backends/transforms/fuse_view_copy.py'
2025-03-21T20:21:16.8210770Z   adding 'executorch/backends/transforms/mean_to_sum_div.py'
2025-03-21T20:21:16.8211070Z   adding 'executorch/backends/transforms/rank_0_to_rank_1.py'
2025-03-21T20:21:16.8211377Z   adding 'executorch/backends/transforms/remove_clone_ops.py'
2025-03-21T20:21:16.8211881Z   adding 'executorch/backends/transforms/replace_scalar_with_tensor.py'
2025-03-21T20:21:16.8212133Z   adding 'executorch/backends/transforms/utils.py'
2025-03-21T20:21:16.8212626Z   adding 'executorch/backends/transforms/view_copy_to_squeeze_unsqueeze.py'
2025-03-21T20:21:16.8213128Z   adding 'executorch/backends/transforms/test/test_create_delete_constant_placeholder.py'
2025-03-21T20:21:16.8213596Z   adding 'executorch/backends/transforms/test/test_duplicate_dynamic_quant_chain.py'
2025-03-21T20:21:16.8214026Z   adding 'executorch/backends/transforms/test/test_rank_0_to_rank_1.py'
2025-03-21T20:21:16.8214288Z   adding 'executorch/backends/vulkan/__init__.py'
2025-03-21T20:21:16.8214597Z   adding 'executorch/backends/vulkan/custom_ops_lib.py'
2025-03-21T20:21:16.8214863Z   adding 'executorch/backends/vulkan/op_registry.py'
2025-03-21T20:21:16.8215115Z   adding 'executorch/backends/vulkan/utils.py'
2025-03-21T20:21:16.8215403Z   adding 'executorch/backends/vulkan/vulkan_preprocess.py'
2025-03-21T20:21:16.8215951Z   adding 'executorch/backends/vulkan/_passes/__init__.py'
2025-03-21T20:21:16.8216319Z   adding 'executorch/backends/vulkan/_passes/insert_prepack_nodes.py'
2025-03-21T20:21:16.8216807Z   adding 'executorch/backends/vulkan/_passes/int4_weight_only_quantizer.py'
2025-03-21T20:21:16.8217173Z   adding 'executorch/backends/vulkan/_passes/remove_asserts.py'
2025-03-21T20:21:16.8217591Z   adding 'executorch/backends/vulkan/_passes/remove_local_scalar_dense_ops.py'
2025-03-21T20:21:16.8218025Z   adding 'executorch/backends/vulkan/_passes/remove_redundant_ops.py'
2025-03-21T20:21:16.8218424Z   adding 'executorch/backends/vulkan/_passes/squeeze_unsqueeze_inputs.py'
2025-03-21T20:21:16.8218810Z   adding 'executorch/backends/vulkan/_passes/tag_memory_meta_pass.py'
2025-03-21T20:21:16.8219199Z   adding 'executorch/backends/vulkan/partitioner/vulkan_partitioner.py'
2025-03-21T20:21:16.8219584Z   adding 'executorch/backends/vulkan/quantizer/vulkan_quantizer.py'
2025-03-21T20:21:16.8219912Z   adding 'executorch/backends/vulkan/runtime/gen_vulkan_spv.py'
2025-03-21T20:21:16.8220432Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_naive_buffer.yaml'
2025-03-21T20:21:16.8221022Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_naive_texture3d.yaml'
2025-03-21T20:21:16.8221478Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_optimized.yaml'
2025-03-21T20:21:16.8221892Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/arange.yaml'
2025-03-21T20:21:16.8222310Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/avg_pool2d.yaml'
2025-03-21T20:21:16.8222820Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/batchnorm.yaml'
2025-03-21T20:21:16.8223239Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/binary_op.yaml'
2025-03-21T20:21:16.8223845Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/bitw8_image_to_nchw_nobitw8buffer.yaml'
2025-03-21T20:21:16.8224303Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/buffer_to_buffer.yaml'
2025-03-21T20:21:16.8224771Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/buffer_to_nchw.yaml'
2025-03-21T20:21:16.8225161Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/clone.yaml'
2025-03-21T20:21:16.8573073Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv1d.yaml'
2025-03-21T20:21:16.8573595Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d.yaml'
2025-03-21T20:21:16.8574020Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw.yaml'
2025-03-21T20:21:16.8574612Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_output_tile.yaml'
2025-03-21T20:21:16.8575163Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_prepack_weights.yaml'
2025-03-21T20:21:16.8575718Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_sned_output_tile.yaml'
2025-03-21T20:21:16.8576207Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_prepack_weights.yaml'
2025-03-21T20:21:16.8576657Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_pw.yaml'
2025-03-21T20:21:16.8577088Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d.yaml'
2025-03-21T20:21:16.8577772Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d_prepack_weights.yaml'
2025-03-21T20:21:16.8578313Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/copy_channel_offset.yaml'
2025-03-21T20:21:16.8578744Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/copy_offset.yaml'
2025-03-21T20:21:16.8579259Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/copy_packed_dim_offset.yaml'
2025-03-21T20:21:16.8579667Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/embedding.yaml'
2025-03-21T20:21:16.8580139Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/flip.yaml'
2025-03-21T20:21:16.8580539Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/full.yaml'
2025-03-21T20:21:16.8581355Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/grid_priors.yaml'
2025-03-21T20:21:16.8581774Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/image_to_nchw.yaml'
2025-03-21T20:21:16.8582394Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/index_select.yaml'
2025-03-21T20:21:16.8582920Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/index_select_channel.yaml'
2025-03-21T20:21:16.8583446Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/kv_cache_update.yaml'
2025-03-21T20:21:16.8583902Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/max_pool2d.yaml'
2025-03-21T20:21:16.8584344Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/native_layer_norm.yaml'
2025-03-21T20:21:16.8584940Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/nchw_to_bitw8_image_nobitw8buffer.yaml'
2025-03-21T20:21:16.8585387Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/nchw_to_buffer.yaml'
2025-03-21T20:21:16.8585907Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/nchw_to_image.yaml'
2025-03-21T20:21:16.8586322Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/no_op.yaml'
2025-03-21T20:21:16.8586764Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/pad_channel.yaml'
2025-03-21T20:21:16.8587266Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/pad_height_width.yaml'
2025-03-21T20:21:16.8587675Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/permute.yaml'
2025-03-21T20:21:16.8588101Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/q_4w_linear.yaml'
2025-03-21T20:21:16.8588648Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/q_8w_linear.yaml'
2025-03-21T20:21:16.8589159Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/q_8w_linear_optimized.yaml'
2025-03-21T20:21:16.8589535Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/reduce.yaml'
2025-03-21T20:21:16.8590004Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/repeat_channel.yaml'
2025-03-21T20:21:16.8590468Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/repeat_interleave.yaml'
2025-03-21T20:21:16.8590899Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/rotary_embedding.yaml'
2025-03-21T20:21:16.8591592Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/sdpa_attn_weight_scale_and_mask.yaml'
2025-03-21T20:21:16.8592023Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_batch_4d.yaml'
2025-03-21T20:21:16.8592509Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_channel_3d.yaml'
2025-03-21T20:21:16.8592947Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_channel_4d.yaml'
2025-03-21T20:21:16.8593398Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_height_3d.yaml'
2025-03-21T20:21:16.8593928Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_height_4d.yaml'
2025-03-21T20:21:16.8594462Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_width_3d.yaml'
2025-03-21T20:21:16.8594917Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_width_4d.yaml'
2025-03-21T20:21:16.8595383Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/slice_packed_dim.yaml'
2025-03-21T20:21:16.8595857Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/slice_unpacked_dim.yaml'
2025-03-21T20:21:16.8596384Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/softmax.yaml'
2025-03-21T20:21:16.8596804Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/unary_op.yaml'
2025-03-21T20:21:16.8597253Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/upsample_nearest2d.yaml'
2025-03-21T20:21:16.8597660Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/view.yaml'
2025-03-21T20:21:16.8597980Z   adding 'executorch/backends/vulkan/serialization/schema.fbs'
2025-03-21T20:21:16.8598465Z   adding 'executorch/backends/vulkan/serialization/vulkan_graph_builder.py'
2025-03-21T20:21:16.8598920Z   adding 'executorch/backends/vulkan/serialization/vulkan_graph_schema.py'
2025-03-21T20:21:16.8599992Z   adding 'executorch/backends/vulkan/serialization/vulkan_graph_serialize.py'
2025-03-21T20:21:16.8600329Z   adding 'executorch/backends/vulkan/test/test_serialization.py'
2025-03-21T20:21:16.8600764Z   adding 'executorch/backends/vulkan/test/test_vulkan_delegate.py'
2025-03-21T20:21:16.8601201Z   adding 'executorch/backends/vulkan/test/test_vulkan_delegate_header.py'
2025-03-21T20:21:16.8601527Z   adding 'executorch/backends/vulkan/test/glsl/all_shaders.yaml'
2025-03-21T20:21:16.8601972Z   adding 'executorch/backends/vulkan/test/op_tests/cases.py'
2025-03-21T20:21:16.8602391Z   adding 'executorch/backends/vulkan/test/op_tests/generate_op_benchmarks.py'
2025-03-21T20:21:16.8602878Z   adding 'executorch/backends/vulkan/test/op_tests/generate_op_correctness_tests.py'
2025-03-21T20:21:16.8603251Z   adding 'executorch/backends/vulkan/test/op_tests/utils/aten_types.py'
2025-03-21T20:21:16.8603654Z   adding 'executorch/backends/vulkan/test/op_tests/utils/gen_benchmark_vk.py'
2025-03-21T20:21:16.8604188Z   adding 'executorch/backends/vulkan/test/op_tests/utils/gen_computegraph.py'
2025-03-21T20:21:16.8604623Z   adding 'executorch/backends/vulkan/test/op_tests/utils/gen_correctness_base.py'
2025-03-21T20:21:16.8605067Z   adding 'executorch/backends/vulkan/test/op_tests/utils/gen_correctness_vk.py'
2025-03-21T20:21:16.8605436Z   adding 'executorch/backends/vulkan/test/op_tests/utils/test_suite.py'
2025-03-21T20:21:16.8606090Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/apiconventions.py'
2025-03-21T20:21:16.8606572Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/cgenerator.py'
2025-03-21T20:21:16.8607159Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/conventions.py'
2025-03-21T20:21:16.8607618Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/generator.py'
2025-03-21T20:21:16.8608050Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/genvk.py'
2025-03-21T20:21:16.8608583Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/reg.py'
2025-03-21T20:21:16.8609074Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/vkconventions.py'
2025-03-21T20:21:16.8609666Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/spec_tools/util.py'
2025-03-21T20:21:16.8610309Z   adding 'executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis/GpuMemDumpVis.py'
2025-03-21T20:21:16.8610674Z   adding 'executorch/backends/vulkan/third-party/volk/generate.py'
2025-03-21T20:21:16.8611072Z   adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/buf_bandwidth.yaml'
2025-03-21T20:21:16.8611555Z   adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/buf_cacheline_size.yaml'
2025-03-21T20:21:16.8611923Z   adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/reg_count.yaml'
2025-03-21T20:21:16.8612409Z   adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/tex_bandwidth.yaml'
2025-03-21T20:21:16.8612915Z   adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/tex_cacheline_concurr.yaml'
2025-03-21T20:21:16.8613281Z   adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/warp_size.yaml'
2025-03-21T20:21:16.8613581Z   adding 'executorch/backends/xnnpack/__init__.py'
2025-03-21T20:21:16.8613892Z   adding 'executorch/backends/xnnpack/xnnpack_preprocess.py'
2025-03-21T20:21:16.8614304Z   adding 'executorch/backends/xnnpack/_passes/__init__.py'
2025-03-21T20:21:16.8614748Z   adding 'executorch/backends/xnnpack/_passes/channels_last_tagged_reshape_pass.py'
2025-03-21T20:21:16.8615151Z   adding 'executorch/backends/xnnpack/_passes/conv1d_unsqueeze_pass.py'
2025-03-21T20:21:16.8615520Z   adding 'executorch/backends/xnnpack/_passes/convert_to_linear.py'
2025-03-21T20:21:16.8615867Z   adding 'executorch/backends/xnnpack/_passes/convert_to_sdpa.py'
2025-03-21T20:21:16.8616317Z   adding 'executorch/backends/xnnpack/_passes/convert_to_upsample_bilinear2d.py'
2025-03-21T20:21:16.8616897Z   adding 'executorch/backends/xnnpack/_passes/decompose_cat.py'
2025-03-21T20:21:16.8617308Z   adding 'executorch/backends/xnnpack/_passes/fuse_activation_pass.py'
2025-03-21T20:21:16.8617771Z   adding 'executorch/backends/xnnpack/_passes/fuse_batch_norm_with_conv.py'
2025-03-21T20:21:16.8618308Z   adding 'executorch/backends/xnnpack/_passes/prelu_reshape_pass.py'
2025-03-21T20:21:16.8618665Z   adding 'executorch/backends/xnnpack/_passes/remove_getitem_op.py'
2025-03-21T20:21:16.8619036Z   adding 'executorch/backends/xnnpack/_passes/tag_implicit_q_dq_pass.py'
2025-03-21T20:21:16.8619487Z   adding 'executorch/backends/xnnpack/_passes/xnnpack_pass.py'
2025-03-21T20:21:16.8619817Z   adding 'executorch/backends/xnnpack/operators/__init__.py'
2025-03-21T20:21:16.8620185Z   adding 'executorch/backends/xnnpack/operators/node_visitor.py'
2025-03-21T20:21:16.8620478Z   adding 'executorch/backends/xnnpack/operators/op_abs.py'
2025-03-21T20:21:16.8620785Z   adding 'executorch/backends/xnnpack/operators/op_add.py'
2025-03-21T20:21:16.8621167Z   adding 'executorch/backends/xnnpack/operators/op_addmm.py'
2025-03-21T20:21:16.8621563Z   adding 'executorch/backends/xnnpack/operators/op_avg_pooling2d.py'
2025-03-21T20:21:16.9001603Z   adding 'executorch/backends/xnnpack/operators/op_bmm.py'
2025-03-21T20:21:16.9001995Z   adding 'executorch/backends/xnnpack/operators/op_cat.py'
2025-03-21T20:21:16.9002502Z   adding 'executorch/backends/xnnpack/operators/op_ceiling.py'
2025-03-21T20:21:16.9002818Z   adding 'executorch/backends/xnnpack/operators/op_clamp.py'
2025-03-21T20:21:16.9003174Z   adding 'executorch/backends/xnnpack/operators/op_conv2d.py'
2025-03-21T20:21:16.9003485Z   adding 'executorch/backends/xnnpack/operators/op_div.py'
2025-03-21T20:21:16.9003943Z   adding 'executorch/backends/xnnpack/operators/op_dynamic_dequantize_ops.py'
2025-03-21T20:21:16.9004416Z   adding 'executorch/backends/xnnpack/operators/op_dynamic_quantize_ops.py'
2025-03-21T20:21:16.9004758Z   adding 'executorch/backends/xnnpack/operators/op_elu.py'
2025-03-21T20:21:16.9005088Z   adding 'executorch/backends/xnnpack/operators/op_floor.py'
2025-03-21T20:21:16.9005441Z   adding 'executorch/backends/xnnpack/operators/op_hardswish.py'
2025-03-21T20:21:16.9005937Z   adding 'executorch/backends/xnnpack/operators/op_hardtanh.py'
2025-03-21T20:21:16.9006269Z   adding 'executorch/backends/xnnpack/operators/op_leaky_relu.py'
2025-03-21T20:21:16.9006717Z   adding 'executorch/backends/xnnpack/operators/op_linear.py'
2025-03-21T20:21:16.9007143Z   adding 'executorch/backends/xnnpack/operators/op_matrix_multiplication.py'
2025-03-21T20:21:16.9007501Z   adding 'executorch/backends/xnnpack/operators/op_max_dim.py'
2025-03-21T20:21:16.9007833Z   adding 'executorch/backends/xnnpack/operators/op_max_pool2d.py'
2025-03-21T20:21:16.9008149Z   adding 'executorch/backends/xnnpack/operators/op_maximum.py'
2025-03-21T20:21:16.9008574Z   adding 'executorch/backends/xnnpack/operators/op_mean_dim.py'
2025-03-21T20:21:16.9008976Z   adding 'executorch/backends/xnnpack/operators/op_minimum.py'
2025-03-21T20:21:16.9009322Z   adding 'executorch/backends/xnnpack/operators/op_multiply.py'
2025-03-21T20:21:16.9009647Z   adding 'executorch/backends/xnnpack/operators/op_negate.py'
2025-03-21T20:21:16.9010018Z   adding 'executorch/backends/xnnpack/operators/op_permute.py'
2025-03-21T20:21:16.9010316Z   adding 'executorch/backends/xnnpack/operators/op_prelu.py'
2025-03-21T20:21:16.9010787Z   adding 'executorch/backends/xnnpack/operators/op_quant_dequant.py'
2025-03-21T20:21:16.9011110Z   adding 'executorch/backends/xnnpack/operators/op_relu.py'
2025-03-21T20:21:16.9011440Z   adding 'executorch/backends/xnnpack/operators/op_rsqrt.py'
2025-03-21T20:21:16.9011742Z   adding 'executorch/backends/xnnpack/operators/op_sdpa.py'
2025-03-21T20:21:16.9012057Z   adding 'executorch/backends/xnnpack/operators/op_sigmoid.py'
2025-03-21T20:21:16.9024306Z   adding 'executorch/backends/xnnpack/operators/op_skip_ops.py'
2025-03-21T20:21:16.9024782Z   adding 'executorch/backends/xnnpack/operators/op_slice_copy.py'
2025-03-21T20:21:16.9025478Z   adding 'executorch/backends/xnnpack/operators/op_softmax.py'
2025-03-21T20:21:16.9025753Z   adding 'executorch/backends/xnnpack/operators/op_square.py'
2025-03-21T20:21:16.9026066Z   adding 'executorch/backends/xnnpack/operators/op_square_root.py'
2025-03-21T20:21:16.9026521Z   adding 'executorch/backends/xnnpack/operators/op_squeeze.py'
2025-03-21T20:21:16.9026905Z   adding 'executorch/backends/xnnpack/operators/op_static_constant_pad.py'
2025-03-21T20:21:16.9027298Z   adding 'executorch/backends/xnnpack/operators/op_static_resize_bilinear_2d.py'
2025-03-21T20:21:16.9027551Z   adding 'executorch/backends/xnnpack/operators/op_sub.py'
2025-03-21T20:21:16.9027828Z   adding 'executorch/backends/xnnpack/operators/op_to_copy.py'
2025-03-21T20:21:16.9028111Z   adding 'executorch/backends/xnnpack/operators/quant_params.py'
2025-03-21T20:21:16.9028381Z   adding 'executorch/backends/xnnpack/partition/configs.py'
2025-03-21T20:21:16.9028715Z   adding 'executorch/backends/xnnpack/partition/xnnpack_partitioner.py'
2025-03-21T20:21:16.9029028Z   adding 'executorch/backends/xnnpack/partition/config/__init__.py'
2025-03-21T20:21:16.9029364Z   adding 'executorch/backends/xnnpack/partition/config/gemm_configs.py'
2025-03-21T20:21:16.9029748Z   adding 'executorch/backends/xnnpack/partition/config/generic_node_configs.py'
2025-03-21T20:21:16.9030087Z   adding 'executorch/backends/xnnpack/partition/config/node_configs.py'
2025-03-21T20:21:16.9030464Z   adding 'executorch/backends/xnnpack/partition/config/quant_affine_configs.py'
2025-03-21T20:21:16.9030821Z   adding 'executorch/backends/xnnpack/partition/config/xnnpack_config.py'
2025-03-21T20:21:16.9031146Z   adding 'executorch/backends/xnnpack/partition/graphs/bilinear_2d.py'
2025-03-21T20:21:16.9031427Z   adding 'executorch/backends/xnnpack/partition/graphs/sdpa.py'
2025-03-21T20:21:16.9031754Z   adding 'executorch/backends/xnnpack/quantizer/xnnpack_quantizer.py'
2025-03-21T20:21:16.9032110Z   adding 'executorch/backends/xnnpack/quantizer/xnnpack_quantizer_utils.py'
2025-03-21T20:21:16.9032457Z   adding 'executorch/backends/xnnpack/serialization/runtime_schema.fbs'
2025-03-21T20:21:16.9032735Z   adding 'executorch/backends/xnnpack/serialization/schema.fbs'
2025-03-21T20:21:16.9033123Z   adding 'executorch/backends/xnnpack/serialization/xnnpack_graph_schema.py'
2025-03-21T20:21:16.9033514Z   adding 'executorch/backends/xnnpack/serialization/xnnpack_graph_serialize.py'
2025-03-21T20:21:16.9033816Z   adding 'executorch/backends/xnnpack/test/test_xnnpack_utils.py'
2025-03-21T20:21:16.9034155Z   adding 'executorch/backends/xnnpack/test/test_xnnpack_utils_classes.py'
2025-03-21T20:21:16.9034440Z   adding 'executorch/backends/xnnpack/test/models/deeplab_v3.py'
2025-03-21T20:21:16.9034697Z   adding 'executorch/backends/xnnpack/test/models/edsr.py'
2025-03-21T20:21:16.9035000Z   adding 'executorch/backends/xnnpack/test/models/emformer_rnnt.py'
2025-03-21T20:21:16.9035308Z   adding 'executorch/backends/xnnpack/test/models/inception_v3.py'
2025-03-21T20:21:16.9035614Z   adding 'executorch/backends/xnnpack/test/models/inception_v4.py'
2025-03-21T20:21:16.9035948Z   adding 'executorch/backends/xnnpack/test/models/llama2_et_example.py'
2025-03-21T20:21:16.9036233Z   adding 'executorch/backends/xnnpack/test/models/mobilebert.py'
2025-03-21T20:21:16.9036537Z   adding 'executorch/backends/xnnpack/test/models/mobilenet_v2.py'
2025-03-21T20:21:16.9036844Z   adding 'executorch/backends/xnnpack/test/models/mobilenet_v3.py'
2025-03-21T20:21:16.9037104Z   adding 'executorch/backends/xnnpack/test/models/resnet.py'
2025-03-21T20:21:16.9037428Z   adding 'executorch/backends/xnnpack/test/models/torchvision_vit.py'
2025-03-21T20:21:16.9037737Z   adding 'executorch/backends/xnnpack/test/models/very_big_model.py'
2025-03-21T20:21:16.9037989Z   adding 'executorch/backends/xnnpack/test/models/w2l.py'
2025-03-21T20:21:16.9038244Z   adding 'executorch/backends/xnnpack/test/ops/test_abs.py'
2025-03-21T20:21:16.9038494Z   adding 'executorch/backends/xnnpack/test/ops/test_add.py'
2025-03-21T20:21:16.9038921Z   adding 'executorch/backends/xnnpack/test/ops/test_avgpool2d.py'
2025-03-21T20:21:16.9039221Z   adding 'executorch/backends/xnnpack/test/ops/test_bilinear2d.py'
2025-03-21T20:21:16.9039486Z   adding 'executorch/backends/xnnpack/test/ops/test_bmm.py'
2025-03-21T20:21:16.9040041Z   adding 'executorch/backends/xnnpack/test/ops/test_cat.py'
2025-03-21T20:21:16.9040323Z   adding 'executorch/backends/xnnpack/test/ops/test_ceil.py'
2025-03-21T20:21:16.9040683Z   adding 'executorch/backends/xnnpack/test/ops/test_check_quant_params.py'
2025-03-21T20:21:16.9040946Z   adding 'executorch/backends/xnnpack/test/ops/test_clamp.py'
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2025-03-21T20:21:16.9041496Z   adding 'executorch/backends/xnnpack/test/ops/test_conv2d.py'
2025-03-21T20:21:16.9041753Z   adding 'executorch/backends/xnnpack/test/ops/test_div.py'
2025-03-21T20:21:16.9042007Z   adding 'executorch/backends/xnnpack/test/ops/test_elu.py'
2025-03-21T20:21:16.9042282Z   adding 'executorch/backends/xnnpack/test/ops/test_floor.py'
2025-03-21T20:21:16.9042583Z   adding 'executorch/backends/xnnpack/test/ops/test_hardswish.py'
2025-03-21T20:21:16.9042862Z   adding 'executorch/backends/xnnpack/test/ops/test_hardtanh.py'
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2025-03-21T20:21:16.9043443Z   adding 'executorch/backends/xnnpack/test/ops/test_linear.py'
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2025-03-21T20:21:16.9044264Z   adding 'executorch/backends/xnnpack/test/ops/test_maximum.py'
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2025-03-21T20:21:16.9045131Z   adding 'executorch/backends/xnnpack/test/ops/test_minimum.py'
2025-03-21T20:21:16.9045427Z   adding 'executorch/backends/xnnpack/test/ops/test_multiply.py'
2025-03-21T20:21:16.9045715Z   adding 'executorch/backends/xnnpack/test/ops/test_negate.py'
2025-03-21T20:21:16.9046093Z   adding 'executorch/backends/xnnpack/test/ops/test_permute.py'
2025-03-21T20:21:16.9046358Z   adding 'executorch/backends/xnnpack/test/ops/test_pow.py'
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2025-03-21T20:21:16.9049191Z   adding 'executorch/backends/xnnpack/test/ops/test_square.py'
2025-03-21T20:21:16.9049550Z   adding 'executorch/backends/xnnpack/test/ops/test_static_constant_pad.py'
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2025-03-21T20:21:16.9051349Z   adding 'executorch/backends/xnnpack/test/passes/test_convert_to_linear.py'
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2025-03-21T20:21:16.9052799Z   adding 'executorch/backends/xnnpack/test/passes/test_tag_implicit_q_dq_pass.py'
2025-03-21T20:21:16.9053273Z   adding 'executorch/backends/xnnpack/test/quantizer/test_pt2e_quantization.py'
2025-03-21T20:21:16.9053679Z   adding 'executorch/backends/xnnpack/test/quantizer/test_representation.py'
2025-03-21T20:21:16.9054065Z   adding 'executorch/backends/xnnpack/test/quantizer/test_xnnpack_quantizer.py'
2025-03-21T20:21:16.9054453Z   adding 'executorch/backends/xnnpack/test/serialization/test_serialization.py'
2025-03-21T20:21:16.9342314Z   adding 'executorch/backends/xnnpack/test/serialization/test_xnnheader.py'
2025-03-21T20:21:16.9343176Z   adding 'executorch/backends/xnnpack/test/tester/__init__.py'
2025-03-21T20:21:16.9343864Z   adding 'executorch/backends/xnnpack/test/tester/tester.py'
2025-03-21T20:21:16.9344682Z   adding 'executorch/backends/xnnpack/third-party/generate-cpuinfo-wrappers.py'
2025-03-21T20:21:16.9345591Z   adding 'executorch/backends/xnnpack/third-party/FP16/configure.py'
2025-03-21T20:21:16.9346364Z   adding 'executorch/backends/xnnpack/third-party/FP16/confu.yaml'
2025-03-21T20:21:16.9347221Z   adding 'executorch/backends/xnnpack/third-party/FP16/include/fp16/__init__.py'
2025-03-21T20:21:16.9348113Z   adding 'executorch/backends/xnnpack/third-party/FP16/include/fp16/avx.py'
2025-03-21T20:21:16.9348987Z   adding 'executorch/backends/xnnpack/third-party/FP16/include/fp16/avx2.py'
2025-03-21T20:21:16.9349866Z   adding 'executorch/backends/xnnpack/third-party/FP16/test/peachpy/stubs.py'
2025-03-21T20:21:16.9350719Z   adding 'executorch/backends/xnnpack/third-party/FXdiv/configure.py'
2025-03-21T20:21:16.9351509Z   adding 'executorch/backends/xnnpack/third-party/FXdiv/confu.yaml'
2025-03-21T20:21:16.9352368Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/scripts/check_config.py'
2025-03-21T20:21:16.9353361Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/scripts/check_files_changed.py'
2025-03-21T20:21:16.9354466Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/scripts/generate-build-identifier.py'
2025-03-21T20:21:16.9355540Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/scripts/sort-filenames.py'
2025-03-21T20:21:16.9356552Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/bf16-gemm-minmax.yaml'
2025-03-21T20:21:16.9357548Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-conv-hwc2chw.yaml'
2025-03-21T20:21:16.9358544Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-dwconv2d-chw.yaml'
2025-03-21T20:21:16.9359576Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-gemm-minmax.yaml'
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2025-03-21T20:21:16.9361684Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-rdsum.yaml'
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2025-03-21T20:21:16.9364666Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-ibilinear-chw.yaml'
2025-03-21T20:21:16.9365659Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-ibilinear.yaml'
2025-03-21T20:21:16.9366733Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-igemm-minmax.yaml'
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2025-03-21T20:21:16.9368784Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rmax.yaml'
2025-03-21T20:21:16.9369675Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rmin.yaml'
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2025-03-21T20:21:16.9385985Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm-minmax.yaml'
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2025-03-21T20:21:16.9397881Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rmax.yaml'
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2025-03-21T20:21:16.9428094Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/u8-ibilinear.yaml'
2025-03-21T20:21:16.9429035Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/u8-lut32norm.yaml'
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2025-03-21T20:21:17.2639847Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddextexp-test.py'
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2025-03-21T20:21:17.2645585Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-spmm-test.py'
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2025-03-21T20:21:17.2659382Z   adding 'executorch/backends/xnnpack/third-party/cpuinfo/scripts/android-device-dump.py'
2025-03-21T20:21:17.2660488Z   adding 'executorch/backends/xnnpack/third-party/cpuinfo/scripts/arm-linux-filesystem-dump.py'
2025-03-21T20:21:17.2661591Z   adding 'executorch/backends/xnnpack/third-party/cpuinfo/scripts/parse-x86-cpuid-dump.py'
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2025-03-21T20:21:17.2664163Z   adding 'executorch/backends/xnnpack/utils/configs.py'
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2025-03-21T20:21:17.2665437Z   adding 'executorch/backends/xnnpack/utils/utils.py'
2025-03-21T20:21:17.2666107Z   adding 'executorch/backends/xnnpack/utils/xnnpack_constants.py'
2025-03-21T20:21:17.2666747Z   adding 'executorch/codegen/__init__.py'
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2025-03-21T20:21:17.2667836Z   adding 'executorch/codegen/tools/gen_all_oplist.py'
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2025-03-21T20:21:17.2669617Z   adding 'executorch/codegen/tools/gen_selected_op_variants.py'
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2025-03-21T20:21:17.2690581Z   adding 'executorch/devtools/bundled_program/util/test_util.py'
2025-03-21T20:21:17.2691265Z   adding 'executorch/devtools/debug_format/base_schema.py'
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2025-03-21T20:21:17.2706388Z   adding 'executorch/examples/apple/coreml/llama/export.py'
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2025-03-21T20:21:17.2713927Z   adding 'executorch/examples/llm_pte_finetuning/qwen_05b_config.yaml'
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2025-03-21T20:21:17.2726864Z   adding 'executorch/examples/models/efficient_sam/efficient_sam_core/mlp.py'
2025-03-21T20:21:17.3114977Z   adding 'executorch/examples/models/efficient_sam/efficient_sam_core/two_way_transformer.py'
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2025-03-21T20:21:17.3119563Z   adding 'executorch/examples/models/inception_v4/model.py'
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2025-03-21T20:21:17.3124170Z   adding 'executorch/examples/models/llama/fairseq2.py'
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2025-03-21T20:21:17.3128321Z   adding 'executorch/examples/models/llama/model_args.py'
2025-03-21T20:21:17.3128962Z   adding 'executorch/examples/models/llama/norm.py'
2025-03-21T20:21:17.3129559Z   adding 'executorch/examples/models/llama/rope.py'
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2025-03-21T20:21:17.3173984Z   adding 'executorch/examples/models/llava/image_util.py'
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2025-03-21T20:21:17.3177793Z   adding 'executorch/examples/models/mobilebert/__init__.py'
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2025-03-21T20:21:17.3179188Z   adding 'executorch/examples/models/mobilenet_v2/__init__.py'
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2025-03-21T20:21:17.3180545Z   adding 'executorch/examples/models/mobilenet_v3/__init__.py'
2025-03-21T20:21:17.3181229Z   adding 'executorch/examples/models/mobilenet_v3/model.py'
2025-03-21T20:21:17.3181895Z   adding 'executorch/examples/models/moshi/mimi/test_mimi.py'
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2025-03-21T20:21:17.3184692Z   adding 'executorch/examples/models/phi-3-mini/phi_3_mini.py'
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2025-03-21T20:21:17.3188314Z   adding 'executorch/examples/models/qwen2_5/__init__.py'
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2025-03-21T20:21:17.3193832Z   adding 'executorch/examples/models/toy_model/__init__.py'
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2025-03-21T20:21:17.3195241Z   adding 'executorch/examples/models/wav2letter/__init__.py'
2025-03-21T20:21:17.3195944Z   adding 'executorch/examples/models/wav2letter/model.py'
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2025-03-21T20:21:17.3200923Z   adding 'executorch/exir/graph.py'
2025-03-21T20:21:17.3201399Z   adding 'executorch/exir/graph_module.py'
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2025-03-21T20:21:17.3204496Z   adding 'executorch/exir/print_program.py'
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2025-03-21T20:21:17.3206544Z   adding 'executorch/exir/tensor.py'
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2025-03-21T20:21:17.3207467Z   adding 'executorch/exir/types.py'
2025-03-21T20:21:17.3207945Z   adding 'executorch/exir/version.py'
2025-03-21T20:21:17.3208411Z   adding 'executorch/exir/wrap.py'
2025-03-21T20:21:17.3208900Z   adding 'executorch/exir/_serialize/__init__.py'
2025-03-21T20:21:17.3209452Z   adding 'executorch/exir/_serialize/_cord.py'
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2025-03-21T20:21:17.3847145Z   adding 'executorch/exir/_serialize/_flatbuffer.py'
2025-03-21T20:21:17.3847762Z   adding 'executorch/exir/_serialize/_named_data_store.py'
2025-03-21T20:21:17.3848378Z   adding 'executorch/exir/_serialize/_program.py'
2025-03-21T20:21:17.3848953Z   adding 'executorch/exir/_serialize/_serialize.py'
2025-03-21T20:21:17.3849564Z   adding 'executorch/exir/_serialize/data_serializer.py'
2025-03-21T20:21:17.3850170Z   adding 'executorch/exir/_serialize/padding.py'
2025-03-21T20:21:17.3850741Z   adding 'executorch/exir/_serialize/program.fbs'
2025-03-21T20:21:17.3851314Z   adding 'executorch/exir/_serialize/scalar_type.fbs'
2025-03-21T20:21:17.3851942Z   adding 'executorch/exir/_serialize/test/__init__.py'
2025-03-21T20:21:17.3852547Z   adding 'executorch/exir/_serialize/test/test_cord.py'
2025-03-21T20:21:17.3853189Z   adding 'executorch/exir/_serialize/test/test_flatbuffer.py'
2025-03-21T20:21:17.3853920Z   adding 'executorch/exir/_serialize/test/test_named_data_store.py'
2025-03-21T20:21:17.3854617Z   adding 'executorch/exir/_serialize/test/test_program.py'
2025-03-21T20:21:17.3855224Z   adding 'executorch/exir/backend/backend_api.py'
2025-03-21T20:21:17.3855802Z   adding 'executorch/exir/backend/backend_details.py'
2025-03-21T20:21:17.3856423Z   adding 'executorch/exir/backend/compile_spec_schema.py'
2025-03-21T20:21:17.3857056Z   adding 'executorch/exir/backend/operator_support.py'
2025-03-21T20:21:17.3857639Z   adding 'executorch/exir/backend/partitioner.py'
2025-03-21T20:21:17.3858183Z   adding 'executorch/exir/backend/utils.py'
2025-03-21T20:21:17.3858903Z   adding 'executorch/exir/backend/canonical_partitioners/config_partitioner.py'
2025-03-21T20:21:17.3860352Z   adding 'executorch/exir/backend/canonical_partitioners/duplicate_constant_node_pass.py'
2025-03-21T20:21:17.3861385Z   adding 'executorch/exir/backend/canonical_partitioners/duplicate_dequant_node_pass.py'
2025-03-21T20:21:17.3862602Z   adding 'executorch/exir/backend/canonical_partitioners/pattern_op_partitioner.py'
2025-03-21T20:21:17.3863512Z   adding 'executorch/exir/backend/test/backend_with_compiler_demo.py'
2025-03-21T20:21:17.3864352Z   adding 'executorch/exir/backend/test/backend_with_delegate_mapping_demo.py'
2025-03-21T20:21:17.3865193Z   adding 'executorch/exir/backend/test/backend_with_named_data_map.py'
2025-03-21T20:21:17.3865942Z   adding 'executorch/exir/backend/test/hta_partitioner_demo.py'
2025-03-21T20:21:17.3866647Z   adding 'executorch/exir/backend/test/op_partitioner_demo.py'
2025-03-21T20:21:17.3867333Z   adding 'executorch/exir/backend/test/qnn_backend_demo.py'
2025-03-21T20:21:17.3868093Z   adding 'executorch/exir/backend/test/test_backend_with_named_data_map.py'
2025-03-21T20:21:17.3868857Z   adding 'executorch/exir/backend/test/test_backends.py'
2025-03-21T20:21:17.3869522Z   adding 'executorch/exir/backend/test/test_backends_lifted.py'
2025-03-21T20:21:17.3870235Z   adding 'executorch/exir/backend/test/test_backends_nested.py'
2025-03-21T20:21:17.3870943Z   adding 'executorch/exir/backend/test/test_compatibility.py'
2025-03-21T20:21:17.3871650Z   adding 'executorch/exir/backend/test/test_debug_handle_map.py'
2025-03-21T20:21:17.3872396Z   adding 'executorch/exir/backend/test/test_delegate_map_builder.py'
2025-03-21T20:21:17.3873143Z   adding 'executorch/exir/backend/test/test_graph_partition.py'
2025-03-21T20:21:17.3873902Z   adding 'executorch/exir/backend/test/test_lowered_backend_module.py'
2025-03-21T20:21:17.3874637Z   adding 'executorch/exir/backend/test/test_partitioner.py'
2025-03-21T20:21:17.3875276Z   adding 'executorch/exir/backend/test/test_passes.py'
2025-03-21T20:21:17.3875875Z   adding 'executorch/exir/backend/test/test_utils.py'
2025-03-21T20:21:17.3876736Z   adding 'executorch/exir/backend/test/demos/test_delegate_aten_mode.py'
2025-03-21T20:21:17.3877547Z   adding 'executorch/exir/backend/test/demos/test_xnnpack_qnnpack.py'
2025-03-21T20:21:17.3878427Z   adding 'executorch/exir/backend/test/demos/rpc/executor_backend_partitioner.py'
2025-03-21T20:21:17.3879380Z   adding 'executorch/exir/backend/test/demos/rpc/executor_backend_preprocess.py'
2025-03-21T20:21:17.3880189Z   adding 'executorch/exir/backend/test/demos/rpc/test_rpc.py'
2025-03-21T20:21:17.3880806Z   adding 'executorch/exir/capture/__init__.py'
2025-03-21T20:21:17.3881352Z   adding 'executorch/exir/capture/_capture.py'
2025-03-21T20:21:17.3881882Z   adding 'executorch/exir/capture/_config.py'
2025-03-21T20:21:17.3882411Z   adding 'executorch/exir/capture/_unlift.py'
2025-03-21T20:21:17.3882951Z   adding 'executorch/exir/dialects/__init__.py'
2025-03-21T20:21:17.3883475Z   adding 'executorch/exir/dialects/_ops.py'
2025-03-21T20:21:17.3884019Z   adding 'executorch/exir/dialects/backend/_ops.py'
2025-03-21T20:21:17.3884701Z   adding 'executorch/exir/dialects/backend/test/test_backend_ops.py'
2025-03-21T20:21:17.3885374Z   adding 'executorch/exir/dialects/edge/_ops.py'
2025-03-21T20:21:17.3886040Z   adding 'executorch/exir/dialects/edge/edge.yaml'
2025-03-21T20:21:17.3886622Z   adding 'executorch/exir/dialects/edge/arg/model.py'
2025-03-21T20:21:17.3887212Z   adding 'executorch/exir/dialects/edge/arg/type.py'
2025-03-21T20:21:17.3887826Z   adding 'executorch/exir/dialects/edge/dtype/runner.py'
2025-03-21T20:21:17.3888476Z   adding 'executorch/exir/dialects/edge/dtype/supported.py'
2025-03-21T20:21:17.3889124Z   adding 'executorch/exir/dialects/edge/dtype/utils.py'
2025-03-21T20:21:17.3889709Z   adding 'executorch/exir/dialects/edge/op/api.py'
2025-03-21T20:21:17.3890328Z   adding 'executorch/exir/dialects/edge/op/sample_input.py'
2025-03-21T20:21:17.3890996Z   adding 'executorch/exir/dialects/edge/op/test/test_api.py'
2025-03-21T20:21:17.3891724Z   adding 'executorch/exir/dialects/edge/spec/gen.py'
2025-03-21T20:21:17.3892553Z   adding 'executorch/exir/dialects/edge/spec/utils.py'
2025-03-21T20:21:17.3893201Z   adding 'executorch/exir/dialects/edge/test/test_edge_ops.py'
2025-03-21T20:21:17.3894021Z   adding 'executorch/exir/dialects/edge/test/test_edge_yaml.py'
2025-03-21T20:21:17.3894761Z   adding 'executorch/exir/dialects/test/test_exir_dialect_ops.py'
2025-03-21T20:21:17.3895385Z   adding 'executorch/exir/emit/__init__.py'
2025-03-21T20:21:17.3895915Z   adding 'executorch/exir/emit/_emit_program.py'
2025-03-21T20:21:17.3896454Z   adding 'executorch/exir/emit/_emitter.py'
2025-03-21T20:21:17.3896977Z   adding 'executorch/exir/emit/test/test_emit.py'
2025-03-21T20:21:17.3897526Z   adding 'executorch/exir/operator/convert.py'
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2025-03-21T20:21:17.3898702Z   adding 'executorch/exir/operator/util.py'
2025-03-21T20:21:17.3899277Z   adding 'executorch/exir/operator/test/test_operator.py'
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2025-03-21T20:21:17.3901223Z   adding 'executorch/exir/passes/const_prop_pass.py'
2025-03-21T20:21:17.3901837Z   adding 'executorch/exir/passes/constant_prop_pass.py'
2025-03-21T20:21:17.3902506Z   adding 'executorch/exir/passes/debug_handle_generator_pass.py'
2025-03-21T20:21:17.3903196Z   adding 'executorch/exir/passes/dim_order_ops_registry.py'
2025-03-21T20:21:17.3903869Z   adding 'executorch/exir/passes/dynamic_shape_prop_pass.py'
2025-03-21T20:21:17.3904575Z   adding 'executorch/exir/passes/executorch_prim_ops_registry.py'
2025-03-21T20:21:17.3905286Z   adding 'executorch/exir/passes/external_constants_pass.py'
2025-03-21T20:21:17.3906044Z   adding 'executorch/exir/passes/init_mutable_pass.py'
2025-03-21T20:21:17.3906828Z   adding 'executorch/exir/passes/insert_write_back_for_buffers_pass.py'
2025-03-21T20:21:17.3907558Z   adding 'executorch/exir/passes/memory_format_ops_pass.py'
2025-03-21T20:21:17.3908226Z   adding 'executorch/exir/passes/memory_planning_pass.py'
2025-03-21T20:21:17.3908894Z   adding 'executorch/exir/passes/normalize_transpose_pass.py'
2025-03-21T20:21:17.3909624Z   adding 'executorch/exir/passes/normalize_view_copy_base_pass.py'
2025-03-21T20:21:17.3910286Z   adding 'executorch/exir/passes/pass_registry.py'
2025-03-21T20:21:17.3910915Z   adding 'executorch/exir/passes/prune_empty_tensors_pass.py'
2025-03-21T20:21:17.3911567Z   adding 'executorch/exir/passes/quant_fusion_pass.py'
2025-03-21T20:21:17.3912169Z   adding 'executorch/exir/passes/quantize_io_pass.py'
2025-03-21T20:21:17.3912878Z   adding 'executorch/exir/passes/remove_graph_asserts_pass.py'
2025-03-21T20:21:17.3913681Z   adding 'executorch/exir/passes/remove_mixed_type_operators.py'
2025-03-21T20:21:17.3914339Z   adding 'executorch/exir/passes/remove_noop_pass.py'
2025-03-21T20:21:17.3914983Z   adding 'executorch/exir/passes/replace_aten_with_edge_pass.py'
2025-03-21T20:21:17.3915795Z   adding 'executorch/exir/passes/replace_broken_ops_with_function_ops_pass.py'
2025-03-21T20:21:17.3916623Z   adding 'executorch/exir/passes/replace_edge_with_backend_pass.py'
2025-03-21T20:21:17.3917349Z   adding 'executorch/exir/passes/replace_sym_size_op_pass.py'
2025-03-21T20:21:17.3918083Z   adding 'executorch/exir/passes/replace_view_copy_with_view_pass.py'
2025-03-21T20:21:17.3918801Z   adding 'executorch/exir/passes/scalar_to_tensor_pass.py'
2025-03-21T20:21:17.3919421Z   adding 'executorch/exir/passes/spec_prop_pass.py'
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2025-03-21T20:21:17.3920836Z   adding 'executorch/exir/passes/sym_to_tensor_pass.py'
2025-03-21T20:21:17.3921484Z   adding 'executorch/exir/passes/weights_to_outputs_pass.py'
2025-03-21T20:21:17.3922091Z   adding 'executorch/exir/program/__init__.py'
2025-03-21T20:21:17.3922640Z   adding 'executorch/exir/program/_fake_program.py'
2025-03-21T20:21:17.3923198Z   adding 'executorch/exir/program/_program.py'
2025-03-21T20:21:17.3924031Z   adding 'executorch/exir/program/test/__init__.py'
2025-03-21T20:21:17.3924659Z   adding 'executorch/exir/program/test/test_fake_program.py'
2025-03-21T20:21:17.3925308Z   adding 'executorch/exir/program/test/test_program.py'
2025-03-21T20:21:17.3926110Z   adding 'executorch/exir/serde/__init__.py'
2025-03-21T20:21:17.3926693Z   adding 'executorch/exir/serde/export_serialize.py'
2025-03-21T20:21:17.3927247Z   adding 'executorch/exir/serde/schema.py'
2025-03-21T20:21:17.3927800Z   adding 'executorch/exir/serde/schema_check.py'
2025-03-21T20:21:17.3928344Z   adding 'executorch/exir/serde/serialize.py'
2025-03-21T20:21:17.3928853Z   adding 'executorch/exir/serde/union.py'
2025-03-21T20:21:17.3929360Z   adding 'executorch/exir/serde/upgrade.py'
2025-03-21T20:21:17.3929884Z   adding 'executorch/exir/tests/asr_joiner.py'
2025-03-21T20:21:17.3930408Z   adding 'executorch/exir/tests/common.py'
2025-03-21T20:21:17.3930964Z   adding 'executorch/exir/tests/control_flow_models.py'
2025-03-21T20:21:17.3931593Z   adding 'executorch/exir/tests/dynamic_shape_models.py'
2025-03-21T20:21:17.3932171Z   adding 'executorch/exir/tests/models.py'
2025-03-21T20:21:17.3932729Z   adding 'executorch/exir/tests/test_arg_validator.py'
2025-03-21T20:21:17.3933315Z   adding 'executorch/exir/tests/test_capture.py'
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2025-03-21T20:21:17.3934603Z   adding 'executorch/exir/tests/test_delegate.py'
2025-03-21T20:21:17.3935189Z   adding 'executorch/exir/tests/test_dim_order_utils.py'
2025-03-21T20:21:17.3935873Z   adding 'executorch/exir/tests/test_dynamic_shape_propagation.py'
2025-03-21T20:21:17.3936522Z   adding 'executorch/exir/tests/test_error.py'
2025-03-21T20:21:17.3937077Z   adding 'executorch/exir/tests/test_joint_graph.py'
2025-03-21T20:21:17.3937716Z   adding 'executorch/exir/tests/test_memory_format_ops_pass.py'
2025-03-21T20:21:17.3938448Z   adding 'executorch/exir/tests/test_memory_format_ops_pass_aten.py'
2025-03-21T20:21:17.3939233Z   adding 'executorch/exir/tests/test_memory_format_ops_pass_utils.py'
2025-03-21T20:21:17.3940206Z   adding 'executorch/exir/tests/test_memory_planning.py'
2025-03-21T20:21:17.3940832Z   adding 'executorch/exir/tests/test_op_convert.py'
2025-03-21T20:21:17.8354520Z   adding 'executorch/exir/tests/test_pass_infra.py'
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2025-03-21T20:21:17.8356433Z   adding 'executorch/exir/tests/test_print_program.py'
2025-03-21T20:21:17.8357117Z   adding 'executorch/exir/tests/test_prune_empty_tensors_pass.py'
2025-03-21T20:21:17.8357891Z   adding 'executorch/exir/tests/test_quant_fusion_pass.py'
2025-03-21T20:21:17.8358525Z   adding 'executorch/exir/tests/test_quantization.py'
2025-03-21T20:21:17.8359160Z   adding 'executorch/exir/tests/test_quantize_io_pass.py'
2025-03-21T20:21:17.8359804Z   adding 'executorch/exir/tests/test_remove_view_copy.py'
2025-03-21T20:21:17.8360398Z   adding 'executorch/exir/tests/test_serde.py'
2025-03-21T20:21:17.8360965Z   adding 'executorch/exir/tests/test_tensor.py'
2025-03-21T20:21:17.8361502Z   adding 'executorch/exir/tests/test_tracer.py'
2025-03-21T20:21:17.8362069Z   adding 'executorch/exir/tests/test_verification.py'
2025-03-21T20:21:17.8362665Z   adding 'executorch/exir/tests/test_warnings.py'
2025-03-21T20:21:17.8363227Z   adding 'executorch/exir/tests/transformer.py'
2025-03-21T20:21:17.8363827Z   adding 'executorch/exir/verification/arg_validator.py'
2025-03-21T20:21:17.8364427Z   adding 'executorch/exir/verification/dev_html.py'
2025-03-21T20:21:17.8365036Z   adding 'executorch/exir/verification/interpreter.py'
2025-03-21T20:21:17.8365637Z   adding 'executorch/exir/verification/verifier.py'
2025-03-21T20:21:17.8366395Z   adding 'executorch/exir/verification/test/test_verifier.py'
2025-03-21T20:21:17.8367071Z   adding 'executorch/extension/android_test/add_model.py'
2025-03-21T20:21:17.8367695Z   adding 'executorch/extension/export_util/__init__.py'
2025-03-21T20:21:17.8368299Z   adding 'executorch/extension/export_util/utils.py'
2025-03-21T20:21:17.8369351Z   adding 'executorch/extension/flat_tensor/__init__.py'
2025-03-21T20:21:17.8370028Z   adding 'executorch/extension/flat_tensor/serialize/__init__.py'
2025-03-21T20:21:17.8371054Z   adding 'executorch/extension/flat_tensor/serialize/flat_tensor.fbs'
2025-03-21T20:21:17.8371910Z   adding 'executorch/extension/flat_tensor/serialize/flat_tensor_schema.py'
2025-03-21T20:21:17.8372725Z   adding 'executorch/extension/flat_tensor/serialize/scalar_type.fbs'
2025-03-21T20:21:17.8373496Z   adding 'executorch/extension/flat_tensor/serialize/serialize.py'
2025-03-21T20:21:17.8374241Z   adding 'executorch/extension/flat_tensor/test/test_serialize.py'
2025-03-21T20:21:17.8374930Z   adding 'executorch/extension/gguf_util/convert_main.py'
2025-03-21T20:21:17.8375552Z   adding 'executorch/extension/gguf_util/converter.py'
2025-03-21T20:21:17.8376151Z   adding 'executorch/extension/gguf_util/load_gguf.py'
2025-03-21T20:21:17.8376853Z   adding 'executorch/extension/gguf_util/converters/llama_converter.py'
2025-03-21T20:21:17.8377605Z   adding 'executorch/extension/llm/custom_ops/__init__.py'
2025-03-21T20:21:17.8378263Z   adding 'executorch/extension/llm/custom_ops/custom_ops.py'
2025-03-21T20:21:17.8379002Z   adding 'executorch/extension/llm/custom_ops/libcustom_ops_aot_lib.so'
2025-03-21T20:21:17.8379768Z   adding 'executorch/extension/llm/custom_ops/model_sharding.py'
2025-03-21T20:21:17.8380494Z   adding 'executorch/extension/llm/custom_ops/op_tile_crop_aot.py'
2025-03-21T20:21:17.8381272Z   adding 'executorch/extension/llm/custom_ops/preprocess_custom_ops.py'
2025-03-21T20:21:17.8382121Z   adding 'executorch/extension/llm/custom_ops/test_preprocess_custom_ops.py'
2025-03-21T20:21:17.8382972Z   adding 'executorch/extension/llm/custom_ops/test_sdpa_with_kv_cache.py'
2025-03-21T20:21:17.8383769Z   adding 'executorch/extension/llm/custom_ops/test_update_cache.py'
2025-03-21T20:21:17.8384620Z   adding 'executorch/extension/llm/custom_ops/spinquant/special_hadamard_code_gen.py'
2025-03-21T20:21:17.8385605Z   adding 'executorch/extension/llm/custom_ops/spinquant/third-party/FFHT/example.py'
2025-03-21T20:21:17.8386556Z   adding 'executorch/extension/llm/custom_ops/spinquant/third-party/FFHT/gen.py'
2025-03-21T20:21:17.8387324Z   adding 'executorch/extension/llm/export/__init__.py'
2025-03-21T20:21:17.8387923Z   adding 'executorch/extension/llm/export/builder.py'
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2025-03-21T20:21:17.8389228Z   adding 'executorch/extension/llm/export/partitioner_lib.py'
2025-03-21T20:21:17.8389906Z   adding 'executorch/extension/llm/export/quantizer_lib.py'
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2025-03-21T20:21:17.8391272Z   adding 'executorch/extension/llm/modules/__init__.py'
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2025-03-21T20:21:17.8393298Z   adding 'executorch/extension/llm/modules/kv_cache.py'
2025-03-21T20:21:17.8393946Z   adding 'executorch/extension/llm/modules/test/__init__.py'
2025-03-21T20:21:17.8394658Z   adding 'executorch/extension/llm/modules/test/test_attention.py'
2025-03-21T20:21:17.8395414Z   adding 'executorch/extension/llm/modules/test/test_kv_cache.py'
2025-03-21T20:21:17.8396221Z   adding 'executorch/extension/llm/modules/test/test_position_embeddings.py'
2025-03-21T20:21:17.8396983Z   adding 'executorch/extension/llm/tokenizer/__init__.py'
2025-03-21T20:21:17.8397647Z   adding 'executorch/extension/llm/tokenizer/hf_tokenizer.py'
2025-03-21T20:21:17.8398316Z   adding 'executorch/extension/llm/tokenizer/tokenizer.py'
2025-03-21T20:21:17.8398945Z   adding 'executorch/extension/llm/tokenizer/utils.py'
2025-03-21T20:21:17.8399640Z   adding 'executorch/extension/llm/tokenizer/test/test_tokenizer.py'
2025-03-21T20:21:17.8400334Z   adding 'executorch/extension/llm/tokenizers/setup.py'
2025-03-21T20:21:17.8401323Z   adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/__init__.py'
2025-03-21T20:21:17.8402240Z   adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/hf_tokenizer.py'
2025-03-21T20:21:17.8403286Z   adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/llama2c.py'
2025-03-21T20:21:17.8404202Z   adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/tiktoken.py'
2025-03-21T20:21:17.8405182Z   adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c/__init__.py'
2025-03-21T20:21:17.8406382Z   adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c/convert.py'
2025-03-21T20:21:17.8407342Z   adding 'executorch/extension/llm/tokenizers/tools/llama2c/convert.py'
2025-03-21T20:21:17.8408285Z   adding 'executorch/extension/pybindings/_portable_lib.cpython-310-aarch64-linux-gnu.so'
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2025-03-21T20:21:17.8409828Z   adding 'executorch/extension/pybindings/pybindings.pyi'
2025-03-21T20:21:17.8410502Z   adding 'executorch/extension/pybindings/test/make_test.py'
2025-03-21T20:21:17.8411255Z   adding 'executorch/extension/pybindings/test/test_backend_pybinding.py'
2025-03-21T20:21:17.8412074Z   adding 'executorch/extension/pybindings/test/test_pybindings.py'
2025-03-21T20:21:17.8412740Z   adding 'executorch/extension/pytree/__init__.py'
2025-03-21T20:21:17.8413319Z   adding 'executorch/extension/pytree/test/test.py'
2025-03-21T20:21:17.8413899Z   adding 'executorch/extension/training/__init__.py'
2025-03-21T20:21:17.8414579Z   adding 'executorch/extension/training/examples/XOR/export_model.py'
2025-03-21T20:21:17.8415336Z   adding 'executorch/extension/training/examples/XOR/model.py'
2025-03-21T20:21:17.8416110Z   adding 'executorch/extension/training/examples/XOR/test/test_export.py'
2025-03-21T20:21:17.8416939Z   adding 'executorch/extension/training/pybindings/_training_lib.pyi'
2025-03-21T20:21:17.8417744Z   adding 'executorch/extension/training/pybindings/_training_module.py'
2025-03-21T20:21:17.8418531Z   adding 'executorch/extension/training/pybindings/test/test.py'
2025-03-21T20:21:17.8419453Z   adding 'executorch/include/executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h'
2025-03-21T20:21:17.8420504Z   adding 'executorch/include/executorch/extension/kernel_util/meta_programming.h'
2025-03-21T20:21:17.8421414Z   adding 'executorch/include/executorch/extension/kernel_util/type_list.h'
2025-03-21T20:21:17.8422224Z   adding 'executorch/include/executorch/extension/tensor/tensor.h'
2025-03-21T20:21:17.8423035Z   adding 'executorch/include/executorch/extension/tensor/tensor_accessor.h'
2025-03-21T20:21:17.8423871Z   adding 'executorch/include/executorch/extension/tensor/tensor_ptr.h'
2025-03-21T20:21:17.8424712Z   adding 'executorch/include/executorch/extension/tensor/tensor_ptr_maker.h'
2025-03-21T20:21:17.8425608Z   adding 'executorch/include/executorch/extension/threadpool/cpuinfo_utils.h'
2025-03-21T20:21:17.8426499Z   adding 'executorch/include/executorch/extension/threadpool/threadpool.h'
2025-03-21T20:21:17.8427417Z   adding 'executorch/include/executorch/extension/threadpool/threadpool_guard.h'
2025-03-21T20:21:17.8428265Z   adding 'executorch/include/executorch/runtime/core/array_ref.h'
2025-03-21T20:21:17.8429024Z   adding 'executorch/include/executorch/runtime/core/data_loader.h'
2025-03-21T20:21:17.8429753Z   adding 'executorch/include/executorch/runtime/core/defines.h'
2025-03-21T20:21:17.8430450Z   adding 'executorch/include/executorch/runtime/core/error.h'
2025-03-21T20:21:17.8431141Z   adding 'executorch/include/executorch/runtime/core/evalue.h'
2025-03-21T20:21:17.8431871Z   adding 'executorch/include/executorch/runtime/core/event_tracer.h'
2025-03-21T20:21:17.8432685Z   adding 'executorch/include/executorch/runtime/core/event_tracer_hooks.h'
2025-03-21T20:21:17.8433586Z   adding 'executorch/include/executorch/runtime/core/event_tracer_hooks_delegate.h'
2025-03-21T20:21:17.8434483Z   adding 'executorch/include/executorch/runtime/core/freeable_buffer.h'
2025-03-21T20:21:17.8435585Z   adding 'executorch/include/executorch/runtime/core/hierarchical_allocator.h'
2025-03-21T20:21:17.8436453Z   adding 'executorch/include/executorch/runtime/core/memory_allocator.h'
2025-03-21T20:21:17.8437372Z   adding 'executorch/include/executorch/runtime/core/named_data_map.h'
2025-03-21T20:21:17.8438151Z   adding 'executorch/include/executorch/runtime/core/result.h'
2025-03-21T20:21:17.8438831Z   adding 'executorch/include/executorch/runtime/core/span.h'
2025-03-21T20:21:17.8439498Z   adding 'executorch/include/executorch/runtime/core/tag.h'
2025-03-21T20:21:17.8440446Z   adding 'executorch/include/executorch/runtime/core/tensor_layout.h'
2025-03-21T20:21:17.8441288Z   adding 'executorch/include/executorch/runtime/core/tensor_shape_dynamism.h'
2025-03-21T20:21:17.8442163Z   adding 'executorch/include/executorch/runtime/core/exec_aten/exec_aten.h'
2025-03-21T20:21:17.8443142Z   adding 'executorch/include/executorch/runtime/core/exec_aten/testing_util/tensor_factory.h'
2025-03-21T20:21:17.8444215Z   adding 'executorch/include/executorch/runtime/core/exec_aten/testing_util/tensor_util.h'
2025-03-21T20:21:17.8445231Z   adding 'executorch/include/executorch/runtime/core/exec_aten/util/dim_order_util.h'
2025-03-21T20:21:17.8446347Z   adding 'executorch/include/executorch/runtime/core/exec_aten/util/scalar_type_util.h'
2025-03-21T20:21:17.8447403Z   adding 'executorch/include/executorch/runtime/core/exec_aten/util/tensor_dimension_limit.h'
2025-03-21T20:21:17.8448511Z   adding 'executorch/include/executorch/runtime/core/exec_aten/util/tensor_shape_to_c_string.h'
2025-03-21T20:21:22.5697054Z   adding 'executorch/include/executorch/runtime/core/exec_aten/util/tensor_util.h'
2025-03-21T20:21:22.5698118Z   adding 'executorch/include/executorch/runtime/core/portable_type/bfloat16.h'
2025-03-21T20:21:22.5699067Z   adding 'executorch/include/executorch/runtime/core/portable_type/bfloat16_math.h'
2025-03-21T20:21:22.5700021Z   adding 'executorch/include/executorch/runtime/core/portable_type/bits_types.h'
2025-03-21T20:21:22.5700978Z   adding 'executorch/include/executorch/runtime/core/portable_type/complex.h'
2025-03-21T20:21:22.5701864Z   adding 'executorch/include/executorch/runtime/core/portable_type/device.h'
2025-03-21T20:21:22.5702745Z   adding 'executorch/include/executorch/runtime/core/portable_type/half.h'
2025-03-21T20:21:22.5703627Z   adding 'executorch/include/executorch/runtime/core/portable_type/optional.h'
2025-03-21T20:21:22.5704545Z   adding 'executorch/include/executorch/runtime/core/portable_type/qint_types.h'
2025-03-21T20:21:22.5705450Z   adding 'executorch/include/executorch/runtime/core/portable_type/scalar.h'
2025-03-21T20:21:22.5706362Z   adding 'executorch/include/executorch/runtime/core/portable_type/scalar_type.h'
2025-03-21T20:21:22.5707304Z   adding 'executorch/include/executorch/runtime/core/portable_type/string_view.h'
2025-03-21T20:21:22.5708216Z   adding 'executorch/include/executorch/runtime/core/portable_type/tensor.h'
2025-03-21T20:21:22.5709144Z   adding 'executorch/include/executorch/runtime/core/portable_type/tensor_impl.h'
2025-03-21T20:21:22.5710106Z   adding 'executorch/include/executorch/runtime/core/portable_type/tensor_options.h'
2025-03-21T20:21:22.5711142Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/macros/Export.h'
2025-03-21T20:21:22.5712205Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/macros/Macros.h'
2025-03-21T20:21:22.5713298Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/BFloat16-inl.h'
2025-03-21T20:21:22.5714411Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/BFloat16-math.h'
2025-03-21T20:21:22.5715504Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h'
2025-03-21T20:21:22.5716566Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h'
2025-03-21T20:21:22.5717598Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/Half.h'
2025-03-21T20:21:22.5719232Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/TypeSafeSignMath.h'
2025-03-21T20:21:22.5720544Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/bit_cast.h'
2025-03-21T20:21:22.5721716Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/floating_point_utils.h'
2025-03-21T20:21:22.5722968Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/irange.h'
2025-03-21T20:21:22.5723921Z   adding 'executorch/include/executorch/runtime/kernel/kernel_includes.h'
2025-03-21T20:21:22.5724827Z   adding 'executorch/include/executorch/runtime/kernel/kernel_runtime_context.h'
2025-03-21T20:21:22.5725735Z   adding 'executorch/include/executorch/runtime/kernel/operator_registry.h'
2025-03-21T20:21:22.5726734Z   adding 'executorch/include/executorch/runtime/kernel/thread_parallel_interface.h'
2025-03-21T20:21:22.5727633Z   adding 'executorch/include/executorch/runtime/kernel/test/test_util.h'
2025-03-21T20:21:22.5728435Z   adding 'executorch/include/executorch/runtime/platform/abort.h'
2025-03-21T20:21:22.5729193Z   adding 'executorch/include/executorch/runtime/platform/assert.h'
2025-03-21T20:21:22.5729956Z   adding 'executorch/include/executorch/runtime/platform/clock.h'
2025-03-21T20:21:22.5730759Z   adding 'executorch/include/executorch/runtime/platform/compat_unistd.h'
2025-03-21T20:21:22.5731580Z   adding 'executorch/include/executorch/runtime/platform/compiler.h'
2025-03-21T20:21:22.5732324Z   adding 'executorch/include/executorch/runtime/platform/log.h'
2025-03-21T20:21:22.5733074Z   adding 'executorch/include/executorch/runtime/platform/platform.h'
2025-03-21T20:21:22.5733860Z   adding 'executorch/include/executorch/runtime/platform/profiler.h'
2025-03-21T20:21:22.5734636Z   adding 'executorch/include/executorch/runtime/platform/runtime.h'
2025-03-21T20:21:22.5735397Z   adding 'executorch/include/executorch/runtime/platform/system.h'
2025-03-21T20:21:22.5736151Z   adding 'executorch/include/executorch/runtime/platform/types.h'
2025-03-21T20:21:22.5736984Z   adding 'executorch/include/executorch/runtime/platform/test/stub_platform.h'
2025-03-21T20:21:22.5737738Z   adding 'executorch/kernels/quantized/__init__.py'
2025-03-21T20:21:22.5738417Z   adding 'executorch/kernels/quantized/libquantized_ops_aot_lib.so'
2025-03-21T20:21:22.5739116Z   adding 'executorch/kernels/quantized/quantized.yaml'
2025-03-21T20:21:22.5740048Z   adding 'executorch/kernels/quantized/test/supported_features_def.yaml'
2025-03-21T20:21:22.5740840Z   adding 'executorch/kernels/quantized/test/test_out_variants.py'
2025-03-21T20:21:22.5741649Z   adding 'executorch/kernels/quantized/test/test_quant_dequant_per_token.py'
2025-03-21T20:21:22.5742345Z   adding 'executorch/runtime/__init__.py'
2025-03-21T20:21:22.5742910Z   adding 'executorch/runtime/kernel/test/functions.yaml'
2025-03-21T20:21:22.5743511Z   adding 'executorch/runtime/test/test_runtime.py'
2025-03-21T20:21:22.5744058Z   adding 'executorch/schema/program.fbs'
2025-03-21T20:21:22.5744575Z   adding 'executorch/schema/scalar_type.fbs'
2025-03-21T20:21:22.5745159Z   adding 'executorch/share/cmake/executorch-config.cmake'
2025-03-21T20:21:22.5745815Z   adding 'executorch/util/activation_memory_profiler.py'
2025-03-21T20:21:22.5746383Z   adding 'executorch/util/collect_env.py'
2025-03-21T20:21:22.5746905Z   adding 'executorch/util/python_profiler.py'
2025-03-21T20:21:22.5747480Z   adding 'executorch-0.6.0a0+be92d7d.dist-info/LICENSE'
2025-03-21T20:21:22.5748107Z   adding 'executorch-0.6.0a0+be92d7d.dist-info/METADATA'
2025-03-21T20:21:22.5748728Z   adding 'executorch-0.6.0a0+be92d7d.dist-info/WHEEL'
2025-03-21T20:21:22.5749389Z   adding 'executorch-0.6.0a0+be92d7d.dist-info/entry_points.txt'
2025-03-21T20:21:22.5750106Z   adding 'executorch-0.6.0a0+be92d7d.dist-info/top_level.txt'
2025-03-21T20:21:22.5750752Z   adding 'executorch-0.6.0a0+be92d7d.dist-info/RECORD'
2025-03-21T20:21:22.5751329Z   removing pip-out/bdist.linux-aarch64/wheel
2025-03-21T20:21:22.5752739Z   Building wheel for executorch (pyproject.toml) ... [?25l[?25hdone
2025-03-21T20:21:22.5754351Z   Created wheel for executorch: filename=executorch-0.6.0a0+be92d7d-cp310-cp310-linux_aarch64.whl size=7062144 sha256=1bd9fd45178c90b978fb7b8731c69f794e9a6b259510154ceee0d53c9e7a98bb
2025-03-21T20:21:22.5756154Z   Stored in directory: /tmp/pip-ephem-wheel-cache-tfyhnw63/wheels/9e/f0/2b/6a778c77421b91e006bef425e288a1e5c7c35b04c51317756b
2025-03-21T20:21:22.5757130Z Successfully built executorch
2025-03-21T20:21:22.5757998Z Installing collected packages: flatbuffers, tabulate, pytest, execnet, pytest-xdist, pytest-rerunfailures, executorch
2025-03-21T20:21:22.5759016Z   changing mode of /opt/conda/envs/py_3.10/bin/tabulate to 755
2025-03-21T20:21:22.5759590Z   Attempting uninstall: pytest
2025-03-21T20:21:22.5760059Z     Found existing installation: pytest 7.2.0
2025-03-21T20:21:22.5760560Z     Uninstalling pytest-7.2.0:
2025-03-21T20:21:22.5761108Z       Removing file or directory /opt/conda/envs/py_3.10/bin/py.test
2025-03-21T20:21:22.5761824Z       Removing file or directory /opt/conda/envs/py_3.10/bin/pytest
2025-03-21T20:21:22.5762798Z       Removing file or directory /opt/conda/envs/py_3.10/lib/python3.10/site-packages/__pycache__/py.cpython-310.pyc
2025-03-21T20:21:22.5763905Z       Removing file or directory /opt/conda/envs/py_3.10/lib/python3.10/site-packages/_pytest/
2025-03-21T20:21:22.5764874Z       Removing file or directory /opt/conda/envs/py_3.10/lib/python3.10/site-packages/py.py
2025-03-21T20:21:22.5766056Z       Removing file or directory /opt/conda/envs/py_3.10/lib/python3.10/site-packages/pytest-7.2.0.dist-info/
2025-03-21T20:21:22.5767123Z       Removing file or directory /opt/conda/envs/py_3.10/lib/python3.10/site-packages/pytest/
2025-03-21T20:21:22.5767866Z       Successfully uninstalled pytest-7.2.0
2025-03-21T20:21:22.5768458Z   changing mode of /opt/conda/envs/py_3.10/bin/py.test to 755
2025-03-21T20:21:22.5769114Z   changing mode of /opt/conda/envs/py_3.10/bin/pytest to 755
2025-03-21T20:21:22.5769777Z   changing mode of /opt/conda/envs/py_3.10/bin/flatc to 755
2025-03-21T20:21:22.5770974Z Successfully installed execnet-2.1.1 executorch-0.6.0a0+be92d7d flatbuffers-25.2.10 pytest-8.3.5 pytest-rerunfailures-15.0 pytest-xdist-3.6.1 tabulate-0.9.0
2025-03-21T20:21:22.5772063Z + pip list
2025-03-21T20:21:22.5772497Z Package                       Version            Editable project location
2025-03-21T20:21:22.5773180Z ----------------------------- ------------------ -----------------------------------
2025-03-21T20:21:22.5773754Z alabaster                     0.7.16
2025-03-21T20:21:22.5774177Z attrs                         25.3.0
2025-03-21T20:21:22.5774598Z babel                         2.17.0
2025-03-21T20:21:22.5775041Z beautifulsoup4                4.13.3
2025-03-21T20:21:22.5775481Z breathe                       4.34.0
2025-03-21T20:21:22.5775900Z bs4                           0.0.2
2025-03-21T20:21:22.5776319Z certifi                       2025.1.31
2025-03-21T20:21:22.5776782Z charset-normalizer            3.4.1
2025-03-21T20:21:22.5777219Z cmake                         3.31.6
2025-03-21T20:21:22.5777648Z contourpy                     1.3.1
2025-03-21T20:21:22.5778075Z coverage                      7.7.0
2025-03-21T20:21:22.5778502Z cycler                        0.12.1
2025-03-21T20:21:22.5778930Z docutils                      0.16
2025-03-21T20:21:22.5779360Z exceptiongroup                1.2.2
2025-03-21T20:21:22.5779796Z execnet                       2.1.1
2025-03-21T20:21:22.5780247Z executorch                    0.6.0a0+be92d7d
2025-03-21T20:21:22.5780708Z exhale                        0.2.3
2025-03-21T20:21:22.5781132Z expecttest                    0.1.6
2025-03-21T20:21:22.5781564Z filelock                      3.18.0
2025-03-21T20:21:22.5782006Z flatbuffers                   25.2.10
2025-03-21T20:21:22.5782445Z fonttools                     4.56.0
2025-03-21T20:21:22.5782872Z fsspec                        2025.3.0
2025-03-21T20:21:22.5783312Z huggingface-hub               0.29.3
2025-03-21T20:21:22.5784001Z hypothesis                    6.84.2
2025-03-21T20:21:22.5784426Z idna                          3.10
2025-03-21T20:21:22.5784841Z imagesize                     1.4.1
2025-03-21T20:21:22.5785381Z iniconfig                     2.1.0
2025-03-21T20:21:22.5785833Z Jinja2                        3.1.6
2025-03-21T20:21:22.5786257Z kiwisolver                    1.4.8
2025-03-21T20:21:22.5786677Z lxml                          5.3.1
2025-03-21T20:21:22.5787106Z markdown-it-py                2.2.0
2025-03-21T20:21:22.5787533Z MarkupSafe                    3.0.2
2025-03-21T20:21:22.5787964Z matplotlib                    3.10.1
2025-03-21T20:21:22.5788407Z mdit-py-plugins               0.3.5
2025-03-21T20:21:22.5788843Z mdurl                         0.1.2
2025-03-21T20:21:22.5789259Z mpmath                        1.3.0
2025-03-21T20:21:22.5789681Z myst-parser                   0.18.1
2025-03-21T20:21:22.5790119Z networkx                      3.4.2
2025-03-21T20:21:22.5790552Z numpy                         2.2.4
2025-03-21T20:21:22.5790976Z packaging                     24.2
2025-03-21T20:21:22.5791402Z pandas                        2.2.3
2025-03-21T20:21:22.5791826Z parameterized                 0.9.0
2025-03-21T20:21:22.5792270Z pillow                        11.1.0
2025-03-21T20:21:22.5792694Z pip                           25.0
2025-03-21T20:21:27.7782809Z pluggy                        1.5.0
2025-03-21T20:21:27.7783398Z Pygments                      2.19.1
2025-03-21T20:21:27.7783842Z pyparsing                     3.2.1
2025-03-21T20:21:27.7784273Z pytest                        8.3.5
2025-03-21T20:21:27.7784703Z pytest-cov                    4.1.0
2025-03-21T20:21:27.7785162Z pytest-rerunfailures          15.0
2025-03-21T20:21:27.7785607Z pytest-xdist                  3.6.1
2025-03-21T20:21:27.7786064Z python-dateutil               2.9.0.post0
2025-03-21T20:21:27.7786713Z pytorch_sphinx_theme          0.0.24             /opt/conda/src/pytorch-sphinx-theme
2025-03-21T20:21:27.7787392Z pytz                          2025.1
2025-03-21T20:21:27.7787829Z PyYAML                        6.0.1
2025-03-21T20:21:27.7788252Z regex                         2024.11.6
2025-03-21T20:21:27.7788696Z requests                      2.32.3
2025-03-21T20:21:27.7789151Z ruamel.yaml                   0.17.32
2025-03-21T20:21:27.7789599Z ruamel.yaml.clib              0.2.12
2025-03-21T20:21:27.7790040Z safetensors                   0.5.3
2025-03-21T20:21:27.7790460Z setuptools                    75.8.0
2025-03-21T20:21:27.7790894Z six                           1.17.0
2025-03-21T20:21:27.7791324Z snowballstemmer               2.2.0
2025-03-21T20:21:27.7791769Z sortedcontainers              2.4.0
2025-03-21T20:21:27.7792203Z soupsieve                     2.6
2025-03-21T20:21:27.7792611Z Sphinx                        5.3.0
2025-03-21T20:21:27.7793048Z sphinx-copybutton             0.5.0
2025-03-21T20:21:27.7793488Z sphinx_design                 0.4.1
2025-03-21T20:21:27.7793925Z sphinx-gallery                0.14.0
2025-03-21T20:21:27.7794398Z sphinxcontrib-applehelp       2.0.0
2025-03-21T20:21:27.7794859Z sphinxcontrib-devhelp         2.0.0
2025-03-21T20:21:27.7795326Z sphinxcontrib-htmlhelp        2.1.0
2025-03-21T20:21:27.7795793Z sphinxcontrib-jsmath          1.0.1
2025-03-21T20:21:27.7796256Z sphinxcontrib-qthelp          2.0.0
2025-03-21T20:21:27.7796733Z sphinxcontrib-serializinghtml 2.0.0
2025-03-21T20:21:27.7797187Z sympy                         1.13.3
2025-03-21T20:21:27.7797613Z tabulate                      0.9.0
2025-03-21T20:21:27.7798029Z timm                          1.0.7
2025-03-21T20:21:27.7798451Z tokenizers                    0.21.1
2025-03-21T20:21:27.7798883Z tomli                         2.0.1
2025-03-21T20:21:27.7799349Z torch                         2.7.0a0+git295f2ed
2025-03-21T20:21:27.7799859Z torchao                       0.10.0+git64bcf4c
2025-03-21T20:21:27.7800364Z torchaudio                    2.6.0a0+c670ad8
2025-03-21T20:21:27.7800838Z torchsr                       1.0.4
2025-03-21T20:21:27.7801700Z torchvision                   0.19.0a0+d23a6e1
2025-03-21T20:21:27.7802170Z tqdm                          4.67.1
2025-03-21T20:21:27.7802602Z transformers                  4.47.1
2025-03-21T20:21:27.7803044Z typing_extensions             4.12.2
2025-03-21T20:21:27.7803730Z tzdata                        2025.1
2025-03-21T20:21:27.7804183Z urllib3                       2.3.0
2025-03-21T20:21:27.7804594Z wheel                         0.45.1
2025-03-21T20:21:27.7805018Z zstd                          1.5.5.1
2025-03-21T20:21:27.7805468Z + build_executorch_runner cmake Release
2025-03-21T20:21:27.7806040Z + [[ cmake == \b\u\c\k\2 ]]
2025-03-21T20:21:27.7806443Z + [[ cmake == \c\m\a\k\e ]]
2025-03-21T20:21:27.7806854Z + build_executorch_runner_cmake Release
2025-03-21T20:21:27.7807322Z + CMAKE_OUTPUT_DIR=cmake-out
2025-03-21T20:21:27.7807751Z + clean_executorch_install_folders
2025-03-21T20:21:27.7808213Z + ./install_executorch.sh --clean
2025-03-21T20:21:27.7808663Z Cleaning build artifacts...
2025-03-21T20:21:27.7809081Z Cleaning pip-out/...
2025-03-21T20:21:27.7809468Z Done cleaning build artifacts.
2025-03-21T20:21:27.7809875Z + mkdir cmake-out
2025-03-21T20:21:27.7810225Z + pushd cmake-out
2025-03-21T20:21:27.7810648Z /pytorch/executorch/cmake-out /pytorch/executorch
2025-03-21T20:21:27.7811168Z + [[ Release == \D\e\b\u\g ]]
2025-03-21T20:21:27.7811555Z + CXXFLAGS=
2025-03-21T20:21:27.7811871Z + CXXFLAGS=
2025-03-21T20:21:27.7812369Z + retry cmake -DPYTHON_EXECUTABLE=python -DCMAKE_BUILD_TYPE=Release ..
2025-03-21T20:21:27.7813118Z + cmake -DPYTHON_EXECUTABLE=python -DCMAKE_BUILD_TYPE=Release ..
2025-03-21T20:21:27.7813751Z -- The C compiler identification is GNU 11.4.0
2025-03-21T20:21:27.7814296Z -- The CXX compiler identification is GNU 11.4.0
2025-03-21T20:21:27.7814814Z -- Detecting C compiler ABI info
2025-03-21T20:21:27.7815268Z -- Detecting C compiler ABI info - done
2025-03-21T20:21:27.7815831Z -- Check for working C compiler: /opt/cache/bin/cc - skipped
2025-03-21T20:21:27.7816404Z -- Detecting C compile features
2025-03-21T20:21:27.7816850Z -- Detecting C compile features - done
2025-03-21T20:21:27.7817322Z -- Detecting CXX compiler ABI info
2025-03-21T20:21:27.7817787Z -- Detecting CXX compiler ABI info - done
2025-03-21T20:21:27.7818375Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped
2025-03-21T20:21:27.7818947Z -- Detecting CXX compile features
2025-03-21T20:21:27.7819408Z -- Detecting CXX compile features - done
2025-03-21T20:21:27.7820605Z CMake Deprecation Warning at backends/xnnpack/third-party/FXdiv/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2025-03-21T20:21:27.7821650Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:21:27.7822259Z   CMake.
2025-03-21T20:21:27.7822434Z 
2025-03-21T20:21:27.7822766Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:21:27.7823585Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:21:27.7824308Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:21:27.7824687Z 
2025-03-21T20:21:27.7824870Z 
2025-03-21T20:21:27.7825734Z CMake Deprecation Warning at backends/xnnpack/third-party/cpuinfo/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2025-03-21T20:21:27.7826792Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:21:27.7827393Z   CMake.
2025-03-21T20:21:27.7827569Z 
2025-03-21T20:21:27.7827896Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:21:27.7828698Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:21:27.7829399Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:21:27.7829766Z 
2025-03-21T20:21:27.7829950Z 
2025-03-21T20:21:27.7830287Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD
2025-03-21T20:21:27.7830849Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success
2025-03-21T20:21:27.7831363Z -- Found Threads: TRUE
2025-03-21T20:21:27.7832563Z CMake Deprecation Warning at backends/xnnpack/third-party/pthreadpool/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2025-03-21T20:21:27.7833642Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:21:27.7834249Z   CMake.
2025-03-21T20:21:27.7834539Z 
2025-03-21T20:21:27.7834888Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:21:27.7835697Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:21:27.7836397Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:21:27.7836773Z 
2025-03-21T20:21:27.7836957Z 
2025-03-21T20:21:27.7837302Z -- Using python executable 'python'
2025-03-21T20:21:27.7838290Z -- Resolved buck2 as /pytorch/executorch/buck2-bin/buck2-5d7af382acbe0dde70f0e9b0a0bc36deea906077ec1ffe80d3fa280490109051.
2025-03-21T20:21:27.7839262Z -- Killing buck2 daemon
2025-03-21T20:21:27.7840492Z '/pytorch/executorch/buck2-bin/buck2-5d7af382acbe0dde70f0e9b0a0bc36deea906077ec1ffe80d3fa280490109051 killall'
2025-03-21T20:21:27.7841462Z -- executorch: Generating source lists
2025-03-21T20:21:27.7842220Z -- executorch: Generating source file list /pytorch/executorch/cmake-out/executorch_srcs.cmake
2025-03-21T20:21:27.7843228Z -- executorch: Using sources file /pytorch/executorch/cmake-out/executorch_srcs.cmake
2025-03-21T20:21:27.7843963Z -- executorch: Using PAL default 'posix'
2025-03-21T20:21:27.7844448Z -- Generating operator lib:
2025-03-21T20:21:27.7844865Z --   LIB_NAME: portable_ops_lib
2025-03-21T20:21:27.7845456Z --   OPS_SCHEMA_YAML: /pytorch/executorch/kernels/portable/functions.yaml
2025-03-21T20:21:27.7846163Z --   ROOT_OPS: 
2025-03-21T20:21:27.7846515Z --   INCLUDE_ALL_OPS: 
2025-03-21T20:21:27.7848264Z 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"
2025-03-21T20:21:27.7849854Z -- Generating kernel bindings:
2025-03-21T20:21:27.7850278Z --   LIB_NAME: portable_ops_lib
2025-03-21T20:21:27.7850862Z --   FUNCTIONS_YAML: /pytorch/executorch/kernels/portable/functions.yaml
2025-03-21T20:21:27.7851477Z --   CUSTOM_OPS_YAML: 
2025-03-21T20:21:27.7851881Z --   ADD_EXCEPTION_BOUNDARY: FALSE
2025-03-21T20:21:27.7854253Z 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
2025-03-21T20:21:27.7856328Z -- Generating operator lib:
2025-03-21T20:21:27.7856739Z --   LIB_NAME: portable_ops_lib
2025-03-21T20:21:27.7857171Z --   KERNEL_LIBS: portable_kernels
2025-03-21T20:21:27.7857598Z --   DEPS: executorch
2025-03-21T20:21:27.7858413Z CMake Deprecation Warning at third-party/gflags/CMakeLists.txt:73 (cmake_minimum_required):
2025-03-21T20:21:27.7859343Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:21:27.7859962Z   CMake.
2025-03-21T20:21:27.7860140Z 
2025-03-21T20:21:27.7860467Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:21:27.7861274Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:21:27.7861965Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:21:27.7862334Z 
2025-03-21T20:21:27.7862531Z 
2025-03-21T20:21:27.7862846Z -- Looking for C++ include unistd.h
2025-03-21T20:21:27.7863315Z -- Looking for C++ include unistd.h - found
2025-03-21T20:21:27.7863802Z -- Looking for C++ include stdint.h
2025-03-21T20:21:27.7864274Z -- Looking for C++ include stdint.h - found
2025-03-21T20:21:27.7864765Z -- Looking for C++ include inttypes.h
2025-03-21T20:21:27.7865250Z -- Looking for C++ include inttypes.h - found
2025-03-21T20:21:27.7865750Z -- Looking for C++ include sys/types.h
2025-03-21T20:21:27.7866241Z -- Looking for C++ include sys/types.h - found
2025-03-21T20:21:27.7867199Z -- Looking for C++ include sys/stat.h
2025-03-21T20:21:27.7867689Z -- Looking for C++ include sys/stat.h - found
2025-03-21T20:21:27.7868176Z -- Looking for C++ include fnmatch.h
2025-03-21T20:21:27.7868865Z -- Looking for C++ include fnmatch.h - found
2025-03-21T20:21:27.7869373Z -- Looking for C++ include stddef.h
2025-03-21T20:21:27.7869850Z -- Looking for C++ include stddef.h - found
2025-03-21T20:21:27.7870324Z -- Check size of uint32_t
2025-03-21T20:21:27.7870721Z -- Check size of uint32_t - done
2025-03-21T20:21:27.7871142Z -- Looking for strtoll
2025-03-21T20:21:27.7871531Z -- Looking for strtoll - found
2025-03-21T20:21:27.7871929Z -- 
2025-03-21T20:21:27.7872243Z -- ******** Summary ********
2025-03-21T20:21:27.7872663Z --   CMAKE_BUILD_TYPE              : Release
2025-03-21T20:21:27.7873137Z --   CMAKE_CXX_STANDARD            : 17
2025-03-21T20:21:27.7873614Z --   CMAKE_CXX_COMPILER_ID         : GNU
2025-03-21T20:21:27.7874099Z --   CMAKE_TOOLCHAIN_FILE          : 
2025-03-21T20:21:27.7875018Z --   BUCK2                         : /pytorch/executorch/buck2-bin/buck2-5d7af382acbe0dde70f0e9b0a0bc36deea906077ec1ffe80d3fa280490109051
2025-03-21T20:21:27.7875956Z --   PYTHON_EXECUTABLE             : python
2025-03-21T20:21:27.7876685Z --   FLATC_EXECUTABLE              : /pytorch/executorch/cmake-out/third-party/flatbuffers/flatc
2025-03-21T20:21:27.7877430Z --   EXECUTORCH_ENABLE_LOGGING              : OFF
2025-03-21T20:21:27.7877984Z --   EXECUTORCH_ENABLE_PROGRAM_VERIFICATION : OFF
2025-03-21T20:21:27.7878530Z --   EXECUTORCH_LOG_LEVEL                   : Info
2025-03-21T20:21:27.7879071Z --   EXECUTORCH_BUILD_ANDROID_JNI           : OFF
2025-03-21T20:21:27.7879604Z --   EXECUTORCH_BUILD_ARM_BAREMETAL         : OFF
2025-03-21T20:21:27.7880143Z --   EXECUTORCH_BUILD_CADENCE               : OFF
2025-03-21T20:21:27.7880667Z --   EXECUTORCH_BUILD_COREML                : OFF
2025-03-21T20:21:27.7881195Z --   EXECUTORCH_BUILD_CPUINFO               : ON
2025-03-21T20:21:27.7881727Z --   EXECUTORCH_BUILD_DEVTOOLS              : OFF
2025-03-21T20:21:27.7882258Z --   EXECUTORCH_BUILD_EXECUTOR_RUNNER       : ON
2025-03-21T20:21:27.7882802Z --   EXECUTORCH_BUILD_EXTENSION_DATA_LOADER : OFF
2025-03-21T20:21:27.7883359Z --   EXECUTORCH_BUILD_EXTENSION_FLAT_TENSOR : OFF
2025-03-21T20:21:27.7883893Z --   EXECUTORCH_BUILD_EXTENSION_LLM : OFF
2025-03-21T20:21:27.7884412Z --   EXECUTORCH_BUILD_EXTENSION_MODULE      : OFF
2025-03-21T20:21:27.7884959Z --   EXECUTORCH_BUILD_EXTENSION_RUNNER_UTIL : OFF
2025-03-21T20:21:28.8965970Z --   EXECUTORCH_BUILD_EXTENSION_TENSOR      : OFF
2025-03-21T20:21:28.8966678Z --   EXECUTORCH_BUILD_EXTENSION_TRAINING    : OFF
2025-03-21T20:21:28.8967220Z --   EXECUTORCH_BUILD_FLATC                 : ON
2025-03-21T20:21:28.8967736Z --   EXECUTORCH_BUILD_GFLAGS                : ON
2025-03-21T20:21:28.8968267Z --   EXECUTORCH_BUILD_HOST_TARGETS          : ON
2025-03-21T20:21:28.8968795Z --   EXECUTORCH_BUILD_KERNELS_CUSTOM        : OFF
2025-03-21T20:21:28.8969375Z --   EXECUTORCH_BUILD_KERNELS_CUSTOM_AOT    : OFF
2025-03-21T20:21:28.8969921Z --   EXECUTORCH_BUILD_KERNELS_OPTIMIZED     : OFF
2025-03-21T20:21:28.8970476Z --   EXECUTORCH_BUILD_KERNELS_QUANTIZED     : OFF
2025-03-21T20:21:28.8971029Z --   EXECUTORCH_BUILD_MPS                   : OFF
2025-03-21T20:21:28.8971546Z --   EXECUTORCH_BUILD_NEURON                : OFF
2025-03-21T20:21:28.8972076Z --   EXECUTORCH_BUILD_PTHREADPOOL           : ON
2025-03-21T20:21:28.8972610Z --   EXECUTORCH_BUILD_PYBIND                : OFF
2025-03-21T20:21:28.8973133Z --   EXECUTORCH_BUILD_QNN                   : OFF
2025-03-21T20:21:28.8973658Z --   EXECUTORCH_BUILD_SIZE_TEST             : OFF
2025-03-21T20:21:28.8974180Z --   EXECUTORCH_BUILD_TESTS                 : OFF
2025-03-21T20:21:28.8974702Z --   EXECUTORCH_BUILD_VULKAN                : OFF
2025-03-21T20:21:28.8975230Z --   EXECUTORCH_BUILD_XNNPACK               : OFF
2025-03-21T20:21:28.8975729Z -- Configuring done (4.7s)
2025-03-21T20:21:28.8976988Z -- Generating done (0.1s)
2025-03-21T20:21:28.8977527Z -- Build files have been written to: /pytorch/executorch/cmake-out
2025-03-21T20:21:28.8978106Z + popd
2025-03-21T20:21:28.8978427Z /pytorch/executorch
2025-03-21T20:21:28.8978776Z ++ uname
2025-03-21T20:21:28.8979315Z + '[' Linux == Darwin ']'
2025-03-21T20:21:28.8979710Z ++ nproc
2025-03-21T20:21:28.8980020Z + CMAKE_JOBS=7
2025-03-21T20:21:28.8980380Z + cmake --build cmake-out -j 7
2025-03-21T20:21:28.8981177Z [  1%] Creating directories for 'flatbuffers'
2025-03-21T20:21:28.8982229Z [  1%] Building CXX object third-party/gflags/CMakeFiles/gflags_nothreads_static.dir/src/gflags.cc.o
2025-03-21T20:21:28.8983663Z [  1%] Building CXX object third-party/gflags/CMakeFiles/gflags_nothreads_static.dir/src/gflags_reporting.cc.o
2025-03-21T20:21:28.8985131Z [  1%] Building CXX object third-party/gflags/CMakeFiles/gflags_nothreads_static.dir/src/gflags_completions.cc.o
2025-03-21T20:21:28.8986640Z [  2%] Building C object backends/xnnpack/third-party/pthreadpool/CMakeFiles/pthreadpool.dir/src/legacy-api.c.o
2025-03-21T20:21:28.8988032Z [  2%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/api.c.o
2025-03-21T20:21:28.8989380Z [  2%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/api.c.o
2025-03-21T20:21:28.8990402Z [  3%] No download step for 'flatbuffers'
2025-03-21T20:21:28.8991059Z [  3%] No update step for 'flatbuffers'
2025-03-21T20:21:28.8991691Z [  3%] No patch step for 'flatbuffers'
2025-03-21T20:21:28.8992393Z [  3%] Performing configure step for 'flatbuffers'
2025-03-21T20:21:28.8992977Z CMake Warning:
2025-03-21T20:21:28.8993437Z   Ignoring empty string ("") provided on the command line.
2025-03-21T20:21:28.8993839Z 
2025-03-21T20:21:28.8994028Z 
2025-03-21T20:21:28.8994422Z fatal: No names found, cannot describe anything.
2025-03-21T20:21:28.8995139Z CMake Warning at CMake/Version.cmake:32 (message):
2025-03-21T20:21:28.8995695Z   git describe failed with exit code: 128
2025-03-21T20:21:28.8996022Z 
2025-03-21T20:21:28.8996276Z   Make sure you cloned with tags or run 'git fetch --tags'.
2025-03-21T20:21:28.8996862Z Call Stack (most recent call first):
2025-03-21T20:21:28.8997325Z   CMakeLists.txt:5 (include)
2025-03-21T20:21:28.8997589Z 
2025-03-21T20:21:28.8997784Z 
2025-03-21T20:21:28.8998123Z -- Proceeding with version: 24.3.25.0
2025-03-21T20:21:28.8999217Z [  3%] Building C object backends/xnnpack/third-party/pthreadpool/CMakeFiles/pthreadpool.dir/src/portable-api.c.o
2025-03-21T20:21:28.9000615Z [  3%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/cache.c.o
2025-03-21T20:21:28.9001974Z [  3%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/cache.c.o
2025-03-21T20:21:28.9002896Z -- The CXX compiler identification is GNU 11.4.0
2025-03-21T20:21:28.9003872Z [  3%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/init.c.o
2025-03-21T20:21:28.9004682Z -- Detecting CXX compiler ABI info
2025-03-21T20:21:28.9005698Z [  3%] Building C object backends/xnnpack/third-party/pthreadpool/CMakeFiles/pthreadpool.dir/src/memory.c.o
2025-03-21T20:21:28.9007327Z [  4%] Building C object backends/xnnpack/third-party/pthreadpool/CMakeFiles/pthreadpool.dir/src/pthreads.c.o
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2025-03-21T20:21:28.9012506Z [  4%] Linking CXX static library libgflags_nothreads.a
2025-03-21T20:21:28.9013867Z [  4%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/arm/cache.c.o
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2025-03-21T20:21:28.9016284Z [  4%] Built target gflags_nothreads_static
2025-03-21T20:21:28.9017402Z [  4%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/arm/linux/cpuinfo.c.o
2025-03-21T20:21:28.9018527Z [  5%] Linking C static library libpthreadpool.a
2025-03-21T20:21:28.9019675Z [  6%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo_internals.dir/src/log.c.o
2025-03-21T20:21:28.9020587Z [  6%] Built target pthreadpool
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2025-03-21T20:21:47.9523654Z [ 97%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/util/select_copy_util.cpp.o
2025-03-21T20:21:47.9524793Z [ 97%] Linking CXX static library libportable_kernels.a
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2025-03-21T20:21:47.9528472Z [ 98%] Built target portable_kernels
2025-03-21T20:21:47.9529449Z [ 98%] Generating selected_operators.yaml for portable_ops_lib
2025-03-21T20:21:47.9530345Z [ 98%] Linking CXX static library liboptimized_portable_kernels.a
2025-03-21T20:21:47.9531268Z [ 99%] Generating code for kernel registration
2025-03-21T20:21:47.9531866Z [ 99%] Built target optimized_portable_kernels
2025-03-21T20:21:47.9533164Z [ 99%] Building CXX object kernels/portable/CMakeFiles/portable_ops_lib.dir/portable_ops_lib/RegisterCodegenUnboxedKernelsEverything.cpp.o
2025-03-21T20:21:47.9534473Z [ 99%] Linking CXX static library libportable_ops_lib.a
2025-03-21T20:21:47.9535053Z [ 99%] Built target portable_ops_lib
2025-03-21T20:21:47.9536006Z [ 99%] Building CXX object CMakeFiles/executor_runner.dir/extension/data_loader/file_data_loader.cpp.o
2025-03-21T20:21:47.9537409Z [ 99%] Building CXX object CMakeFiles/executor_runner.dir/examples/portable/executor_runner/executor_runner.cpp.o
2025-03-21T20:21:47.9538817Z [ 99%] Building CXX object CMakeFiles/executor_runner.dir/extension/evalue_util/print_evalue.cpp.o
2025-03-21T20:21:47.9540452Z [ 99%] Building CXX object CMakeFiles/executor_runner.dir/extension/runner_util/inputs.cpp.o
2025-03-21T20:21:47.9541774Z [100%] Building CXX object CMakeFiles/executor_runner.dir/extension/runner_util/inputs_portable.cpp.o
2025-03-21T20:21:47.9543204Z [100%] Building CXX object CMakeFiles/executor_runner.dir/runtime/executor/test/test_backend_compiler_lib.cpp.o
2025-03-21T20:21:47.9544266Z [100%] Linking CXX executable executor_runner
2025-03-21T20:21:47.9544794Z [100%] Built target executor_runner
2025-03-21T20:21:47.9545214Z + [[ '' == *main* ]]
2025-03-21T20:21:47.9545557Z + [[ '' == *gh* ]]
2025-03-21T20:21:47.9545915Z + PYTHON_EXECUTABLE=python
2025-03-21T20:21:47.9546376Z + bash .ci/scripts/test_model.sh ic4 cmake portable
2025-03-21T20:21:47.9546890Z ++ dirname .ci/scripts/test_model.sh
2025-03-21T20:21:47.9547356Z + source .ci/scripts/utils.sh
2025-03-21T20:21:47.9547759Z + MODEL_NAME=ic4
2025-03-21T20:21:47.9548099Z + [[ -z ic4 ]]
2025-03-21T20:21:47.9548427Z + BUILD_TOOL=cmake
2025-03-21T20:21:47.9548762Z + [[ -z cmake ]]
2025-03-21T20:21:47.9549099Z + BACKEND=portable
2025-03-21T20:21:47.9549454Z + [[ -z portable ]]
2025-03-21T20:21:47.9549800Z + UPLOAD_DIR=
2025-03-21T20:21:47.9550120Z + [[ -z python ]]
2025-03-21T20:21:47.9550460Z + which python
2025-03-21T20:21:47.9550822Z /opt/conda/envs/py_3.10/bin/python
2025-03-21T20:21:47.9551267Z + CMAKE_OUTPUT_DIR=cmake-out
2025-03-21T20:21:47.9551670Z + EXPORTED_MODEL=ic4
2025-03-21T20:21:47.9552042Z + [[ portable == \p\o\r\t\a\b\l\e ]]
2025-03-21T20:21:47.9552520Z + echo 'Testing ic4 with portable kernels...'
2025-03-21T20:21:47.9553026Z Testing ic4 with portable kernels...
2025-03-21T20:21:47.9553460Z + test_model
2025-03-21T20:21:47.9553789Z + [[ ic4 == \l\l\a\m\a\2 ]]
2025-03-21T20:21:47.9554161Z + STRICT=--strict
2025-03-21T20:21:47.9554505Z + [[ ic4 == \l\l\a\v\a ]]
2025-03-21T20:21:47.9554957Z + [[ ic4 == \l\l\a\m\a\3\_\2\_\v\i\s\i\o\n\_\e\n\c\o\d\e\r ]]
2025-03-21T20:22:17.0332596Z + [[ ic4 == \l\l\a\m\a\3\_\2\_\t\e\x\t\_\d\e\c\o\d\e\r ]]
2025-03-21T20:22:17.0333174Z + [[ ic4 == \q\w\e\n\2\_\5 ]]
2025-03-21T20:22:17.0333649Z + [[ ic4 == \p\h\i\-\4\-\m\i\n\i ]]
2025-03-21T20:22:17.0334297Z + python -m examples.portable.scripts.export --model_name=ic4 --strict
2025-03-21T20:22:17.0335059Z [INFO 2025-03-21 20:21:56,004 model.py:20] Loading inception_v4 model
2025-03-21T20:22:17.0336018Z [INFO 2025-03-21 20:21:56,462 _builder.py:187] Loading pretrained weights from Hugging Face hub (timm/inception_v4.tf_in1k)
2025-03-21T20:22:17.0336703Z 
2025-03-21T20:22:17.0336921Z model.safetensors:   0% 0.00/171M [00:00<?, ?B/s]
2025-03-21T20:22:17.0337488Z model.safetensors:  12% 21.0M/171M [00:00<00:00, 152MB/s]
2025-03-21T20:22:17.0338092Z model.safetensors:  25% 41.9M/171M [00:00<00:00, 170MB/s]
2025-03-21T20:22:17.0338702Z model.safetensors:  43% 73.4M/171M [00:00<00:00, 196MB/s]
2025-03-21T20:22:17.0340127Z model.safetensors:  61% 105M/171M [00:00<00:00, 207MB/s] 
2025-03-21T20:22:17.0340741Z model.safetensors:  80% 136M/171M [00:00<00:00, 216MB/s]
2025-03-21T20:22:17.0341337Z model.safetensors:  98% 168M/171M [00:00<00:00, 223MB/s]
2025-03-21T20:22:17.0342188Z model.safetensors: 100% 171M/171M [00:00<00:00, 209MB/s]
2025-03-21T20:22:17.0343439Z [INFO 2025-03-21 20:21:57,327 _hub.py:180] [timm/inception_v4.tf_in1k] Safe alternative available for 'pytorch_model.bin' (as 'model.safetensors'). Loading weights using safetensors.
2025-03-21T20:22:17.0344675Z [INFO 2025-03-21 20:21:57,431 model.py:22] Loaded inception_v4 model
2025-03-21T20:22:17.0346612Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/mkldnn/__init__.py:78: UserWarning: TF32 acceleration on top of oneDNN is available for Intel GPUs. The current Torch version does not have Intel GPU Support. (Triggered internally at /pytorch/aten/src/ATen/Context.cpp:148.)
2025-03-21T20:22:17.0348497Z   torch._C._set_onednn_allow_tf32(_allow_tf32)
2025-03-21T20:22:17.0350401Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/mkldnn/__init__.py:78: UserWarning: TF32 acceleration on top of oneDNN is available for Intel GPUs. The current Torch version does not have Intel GPU Support. (Triggered internally at /pytorch/aten/src/ATen/Context.cpp:148.)
2025-03-21T20:22:17.0352272Z   torch._C._set_onednn_allow_tf32(_allow_tf32)
2025-03-21T20:22:17.0354124Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/mkldnn/__init__.py:78: UserWarning: TF32 acceleration on top of oneDNN is available for Intel GPUs. The current Torch version does not have Intel GPU Support. (Triggered internally at /pytorch/aten/src/ATen/Context.cpp:148.)
2025-03-21T20:22:17.0356515Z   torch._C._set_onednn_allow_tf32(_allow_tf32)
2025-03-21T20:22:17.0358427Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/mkldnn/__init__.py:78: UserWarning: TF32 acceleration on top of oneDNN is available for Intel GPUs. The current Torch version does not have Intel GPU Support. (Triggered internally at /pytorch/aten/src/ATen/Context.cpp:148.)
2025-03-21T20:22:17.0360308Z   torch._C._set_onednn_allow_tf32(_allow_tf32)
2025-03-21T20:22:17.0360894Z [INFO 2025-03-21 20:22:17,032 utils.py:50] Core ATen graph:
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2025-03-21T20:22:17.0365960Z     %p_getattr_l__self___features___1___bn_bias : [num_users=1] = placeholder[target=p_getattr_l__self___features___1___bn_bias]
2025-03-21T20:22:17.0367332Z     %p_getattr_l__self___features___2___bn_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___2___bn_weight]
2025-03-21T20:22:17.0368574Z     %p_getattr_l__self___features___2___bn_bias : [num_users=1] = placeholder[target=p_getattr_l__self___features___2___bn_bias]
2025-03-21T20:22:17.0369862Z     %p_getattr_l__self___features___3___conv_bn_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___3___conv_bn_weight]
2025-03-21T20:22:17.0371326Z     %p_getattr_l__self___features___3___conv_bn_bias : [num_users=1] = placeholder[target=p_getattr_l__self___features___3___conv_bn_bias]
2025-03-21T20:22:17.0372824Z     %p_getattr_getattr_l__self___features___4___branch0___0___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___4___branch0___0___bn_weight]
2025-03-21T20:22:17.0374513Z     %p_getattr_getattr_l__self___features___4___branch0___0___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___4___branch0___0___bn_bias]
2025-03-21T20:22:17.0376569Z     %p_getattr_getattr_l__self___features___4___branch0___1___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___4___branch0___1___bn_weight]
2025-03-21T20:22:17.0378443Z     %p_getattr_getattr_l__self___features___4___branch0___1___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___4___branch0___1___bn_bias]
2025-03-21T20:22:17.0380121Z     %p_getattr_getattr_l__self___features___4___branch1___0___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___4___branch1___0___bn_weight]
2025-03-21T20:22:17.0381774Z     %p_getattr_getattr_l__self___features___4___branch1___0___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___4___branch1___0___bn_bias]
2025-03-21T20:22:17.0383560Z     %p_getattr_getattr_l__self___features___4___branch1___1___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___4___branch1___1___bn_weight]
2025-03-21T20:22:17.0385311Z     %p_getattr_getattr_l__self___features___4___branch1___1___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___4___branch1___1___bn_bias]
2025-03-21T20:22:17.0386969Z     %p_getattr_getattr_l__self___features___4___branch1___2___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___4___branch1___2___bn_weight]
2025-03-21T20:22:17.0388674Z     %p_getattr_getattr_l__self___features___4___branch1___2___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___4___branch1___2___bn_bias]
2025-03-21T20:22:17.0390419Z     %p_getattr_getattr_l__self___features___4___branch1___3___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___4___branch1___3___bn_weight]
2025-03-21T20:22:17.0392154Z     %p_getattr_getattr_l__self___features___4___branch1___3___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___4___branch1___3___bn_bias]
2025-03-21T20:22:17.0393652Z     %p_getattr_l__self___features___5___conv_bn_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___5___conv_bn_weight]
2025-03-21T20:22:17.0395039Z     %p_getattr_l__self___features___5___conv_bn_bias : [num_users=1] = placeholder[target=p_getattr_l__self___features___5___conv_bn_bias]
2025-03-21T20:22:17.0396468Z     %p_getattr_l__self___features___6___branch0_bn_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___6___branch0_bn_weight]
2025-03-21T20:22:17.0397862Z     %p_getattr_l__self___features___6___branch0_bn_bias : [num_users=1] = placeholder[target=p_getattr_l__self___features___6___branch0_bn_bias]
2025-03-21T20:22:17.0399458Z     %p_getattr_getattr_l__self___features___6___branch1___0___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___6___branch1___0___bn_weight]
2025-03-21T20:22:17.0401208Z     %p_getattr_getattr_l__self___features___6___branch1___0___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___6___branch1___0___bn_bias]
2025-03-21T20:22:17.0402857Z     %p_getattr_getattr_l__self___features___6___branch1___1___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___6___branch1___1___bn_weight]
2025-03-21T20:22:17.0404667Z     %p_getattr_getattr_l__self___features___6___branch1___1___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___6___branch1___1___bn_bias]
2025-03-21T20:22:17.0406419Z     %p_getattr_getattr_l__self___features___6___branch2___0___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___6___branch2___0___bn_weight]
2025-03-21T20:22:17.0408071Z     %p_getattr_getattr_l__self___features___6___branch2___0___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___6___branch2___0___bn_bias]
2025-03-21T20:22:17.0409888Z     %p_getattr_getattr_l__self___features___6___branch2___1___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___6___branch2___1___bn_weight]
2025-03-21T20:22:17.0411874Z     %p_getattr_getattr_l__self___features___6___branch2___1___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___6___branch2___1___bn_bias]
2025-03-21T20:22:17.0413686Z     %p_getattr_getattr_l__self___features___6___branch2___2___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___6___branch2___2___bn_weight]
2025-03-21T20:22:17.0415524Z     %p_getattr_getattr_l__self___features___6___branch2___2___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___6___branch2___2___bn_bias]
2025-03-21T20:22:17.0417177Z     %p_getattr_getattr_l__self___features___6___branch3___1___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___6___branch3___1___bn_weight]
2025-03-21T20:22:17.0418828Z     %p_getattr_getattr_l__self___features___6___branch3___1___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___6___branch3___1___bn_bias]
2025-03-21T20:22:17.0420861Z     %p_getattr_l__self___features___7___branch0_bn_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___7___branch0_bn_weight]
2025-03-21T20:22:17.0422275Z     %p_getattr_l__self___features___7___branch0_bn_bias : [num_users=1] = placeholder[target=p_getattr_l__self___features___7___branch0_bn_bias]
2025-03-21T20:22:17.0423915Z     %p_getattr_getattr_l__self___features___7___branch1___0___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___7___branch1___0___bn_weight]
2025-03-21T20:22:17.0425736Z     %p_getattr_getattr_l__self___features___7___branch1___0___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___7___branch1___0___bn_bias]
2025-03-21T20:22:17.0427488Z     %p_getattr_getattr_l__self___features___7___branch1___1___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___7___branch1___1___bn_weight]
2025-03-21T20:22:17.0429321Z     %p_getattr_getattr_l__self___features___7___branch1___1___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___7___branch1___1___bn_bias]
2025-03-21T20:22:17.0431125Z     %p_getattr_getattr_l__self___features___7___branch2___0___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___7___branch2___0___bn_weight]
2025-03-21T20:22:17.0432882Z     %p_getattr_getattr_l__self___features___7___branch2___0___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___7___branch2___0___bn_bias]
2025-03-21T20:22:17.0434586Z     %p_getattr_getattr_l__self___features___7___branch2___1___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___7___branch2___1___bn_weight]
2025-03-21T20:22:17.0436342Z     %p_getattr_getattr_l__self___features___7___branch2___1___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___7___branch2___1___bn_bias]
2025-03-21T20:22:17.0438096Z     %p_getattr_getattr_l__self___features___7___branch2___2___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___7___branch2___2___bn_weight]
2025-03-21T20:22:17.0439977Z     %p_getattr_getattr_l__self___features___7___branch2___2___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___7___branch2___2___bn_bias]
2025-03-21T20:22:17.0441906Z     %p_getattr_getattr_l__self___features___7___branch3___1___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___7___branch3___1___bn_weight]
2025-03-21T20:22:17.0443688Z     %p_getattr_getattr_l__self___features___7___branch3___1___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___7___branch3___1___bn_bias]
2025-03-21T20:22:17.0445295Z     %p_getattr_l__self___features___8___branch0_bn_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___8___branch0_bn_weight]
2025-03-21T20:22:17.0446759Z     %p_getattr_l__self___features___8___branch0_bn_bias : [num_users=1] = placeholder[target=p_getattr_l__self___features___8___branch0_bn_bias]
2025-03-21T20:22:17.0448827Z     %p_getattr_getattr_l__self___features___8___branch1___0___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___8___branch1___0___bn_weight]
2025-03-21T20:22:17.0450579Z     %p_getattr_getattr_l__self___features___8___branch1___0___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___8___branch1___0___bn_bias]
2025-03-21T20:22:17.0452231Z     %p_getattr_getattr_l__self___features___8___branch1___1___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___8___branch1___1___bn_weight]
2025-03-21T20:22:17.0453993Z     %p_getattr_getattr_l__self___features___8___branch1___1___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___8___branch1___1___bn_bias]
2025-03-21T20:22:17.0455710Z     %p_getattr_getattr_l__self___features___8___branch2___0___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___8___branch2___0___bn_weight]
2025-03-21T20:22:17.0457529Z     %p_getattr_getattr_l__self___features___8___branch2___0___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___8___branch2___0___bn_bias]
2025-03-21T20:22:17.0459287Z     %p_getattr_getattr_l__self___features___8___branch2___1___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___8___branch2___1___bn_weight]
2025-03-21T20:22:17.0461041Z     %p_getattr_getattr_l__self___features___8___branch2___1___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___8___branch2___1___bn_bias]
2025-03-21T20:22:17.0462694Z     %p_getattr_getattr_l__self___features___8___branch2___2___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___8___branch2___2___bn_weight]
2025-03-21T20:22:17.0464455Z     %p_getattr_getattr_l__self___features___8___branch2___2___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___8___branch2___2___bn_bias]
2025-03-21T20:22:17.0466198Z     %p_getattr_getattr_l__self___features___8___branch3___1___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___8___branch3___1___bn_weight]
2025-03-21T20:22:17.0467917Z     %p_getattr_getattr_l__self___features___8___branch3___1___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___8___branch3___1___bn_bias]
2025-03-21T20:22:17.0469438Z     %p_getattr_l__self___features___9___branch0_bn_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___9___branch0_bn_weight]
2025-03-21T20:22:17.0470835Z     %p_getattr_l__self___features___9___branch0_bn_bias : [num_users=1] = placeholder[target=p_getattr_l__self___features___9___branch0_bn_bias]
2025-03-21T20:22:17.0472359Z     %p_getattr_getattr_l__self___features___9___branch1___0___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___9___branch1___0___bn_weight]
2025-03-21T20:22:17.0474115Z     %p_getattr_getattr_l__self___features___9___branch1___0___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___9___branch1___0___bn_bias]
2025-03-21T20:22:17.0475780Z     %p_getattr_getattr_l__self___features___9___branch1___1___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___9___branch1___1___bn_weight]
2025-03-21T20:22:17.0477526Z     %p_getattr_getattr_l__self___features___9___branch1___1___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___9___branch1___1___bn_bias]
2025-03-21T20:22:17.0479296Z     %p_getattr_getattr_l__self___features___9___branch2___0___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___9___branch2___0___bn_weight]
2025-03-21T20:22:17.0480952Z     %p_getattr_getattr_l__self___features___9___branch2___0___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___9___branch2___0___bn_bias]
2025-03-21T20:22:17.0482848Z     %p_getattr_getattr_l__self___features___9___branch2___1___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___9___branch2___1___bn_weight]
2025-03-21T20:22:17.0484686Z     %p_getattr_getattr_l__self___features___9___branch2___1___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___9___branch2___1___bn_bias]
2025-03-21T20:22:17.0486426Z     %p_getattr_getattr_l__self___features___9___branch2___2___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___9___branch2___2___bn_weight]
2025-03-21T20:22:17.0488140Z     %p_getattr_getattr_l__self___features___9___branch2___2___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___9___branch2___2___bn_bias]
2025-03-21T20:22:17.0489791Z     %p_getattr_getattr_l__self___features___9___branch3___1___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___9___branch3___1___bn_weight]
2025-03-21T20:22:17.0491544Z     %p_getattr_getattr_l__self___features___9___branch3___1___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___9___branch3___1___bn_bias]
2025-03-21T20:22:17.0493076Z     %p_getattr_l__self___features___10___branch0_bn_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___10___branch0_bn_weight]
2025-03-21T20:22:17.0494480Z     %p_getattr_l__self___features___10___branch0_bn_bias : [num_users=1] = placeholder[target=p_getattr_l__self___features___10___branch0_bn_bias]
2025-03-21T20:22:17.0496011Z     %p_getattr_getattr_l__self___features___10___branch1___0___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___10___branch1___0___bn_weight]
2025-03-21T20:22:17.0497742Z     %p_getattr_getattr_l__self___features___10___branch1___0___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___10___branch1___0___bn_bias]
2025-03-21T20:22:17.0499414Z     %p_getattr_getattr_l__self___features___10___branch1___1___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___10___branch1___1___bn_weight]
2025-03-21T20:22:17.0501077Z     %p_getattr_getattr_l__self___features___10___branch1___1___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___10___branch1___1___bn_bias]
2025-03-21T20:22:17.0502824Z     %p_getattr_getattr_l__self___features___10___branch1___2___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___10___branch1___2___bn_weight]
2025-03-21T20:22:17.0504497Z     %p_getattr_getattr_l__self___features___10___branch1___2___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___10___branch1___2___bn_bias]
2025-03-21T20:22:17.0506029Z     %p_getattr_l__self___features___11___branch0_bn_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___11___branch0_bn_weight]
2025-03-21T20:22:17.0507445Z     %p_getattr_l__self___features___11___branch0_bn_bias : [num_users=1] = placeholder[target=p_getattr_l__self___features___11___branch0_bn_bias]
2025-03-21T20:22:17.0508988Z     %p_getattr_getattr_l__self___features___11___branch1___0___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___11___branch1___0___bn_weight]
2025-03-21T20:22:17.0510655Z     %p_getattr_getattr_l__self___features___11___branch1___0___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___11___branch1___0___bn_bias]
2025-03-21T20:22:17.0512317Z     %p_getattr_getattr_l__self___features___11___branch1___1___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___11___branch1___1___bn_weight]
2025-03-21T20:22:17.0513974Z     %p_getattr_getattr_l__self___features___11___branch1___1___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___11___branch1___1___bn_bias]
2025-03-21T20:22:17.0515712Z     %p_getattr_getattr_l__self___features___11___branch1___2___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___11___branch1___2___bn_weight]
2025-03-21T20:22:17.0517667Z     %p_getattr_getattr_l__self___features___11___branch1___2___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___11___branch1___2___bn_bias]
2025-03-21T20:22:17.0519430Z     %p_getattr_getattr_l__self___features___11___branch2___0___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___11___branch2___0___bn_weight]
2025-03-21T20:22:17.0521178Z     %p_getattr_getattr_l__self___features___11___branch2___0___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___11___branch2___0___bn_bias]
2025-03-21T20:22:17.0522856Z     %p_getattr_getattr_l__self___features___11___branch2___1___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___11___branch2___1___bn_weight]
2025-03-21T20:22:17.0524525Z     %p_getattr_getattr_l__self___features___11___branch2___1___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___11___branch2___1___bn_bias]
2025-03-21T20:22:17.0526333Z     %p_getattr_getattr_l__self___features___11___branch2___2___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___11___branch2___2___bn_weight]
2025-03-21T20:22:17.0528007Z     %p_getattr_getattr_l__self___features___11___branch2___2___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___11___branch2___2___bn_bias]
2025-03-21T20:22:17.0529676Z     %p_getattr_getattr_l__self___features___11___branch2___3___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___11___branch2___3___bn_weight]
2025-03-21T20:22:17.0531414Z     %p_getattr_getattr_l__self___features___11___branch2___3___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___11___branch2___3___bn_bias]
2025-03-21T20:22:17.0533096Z     %p_getattr_getattr_l__self___features___11___branch2___4___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___11___branch2___4___bn_weight]
2025-03-21T20:22:17.0534763Z     %p_getattr_getattr_l__self___features___11___branch2___4___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___11___branch2___4___bn_bias]
2025-03-21T20:22:17.0536439Z     %p_getattr_getattr_l__self___features___11___branch3___1___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___11___branch3___1___bn_weight]
2025-03-21T20:22:17.0538117Z     %p_getattr_getattr_l__self___features___11___branch3___1___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___11___branch3___1___bn_bias]
2025-03-21T20:22:17.0539679Z     %p_getattr_l__self___features___12___branch0_bn_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___12___branch0_bn_weight]
2025-03-21T20:22:17.0541351Z     %p_getattr_l__self___features___12___branch0_bn_bias : [num_users=1] = placeholder[target=p_getattr_l__self___features___12___branch0_bn_bias]
2025-03-21T20:22:17.0543024Z     %p_getattr_getattr_l__self___features___12___branch1___0___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___12___branch1___0___bn_weight]
2025-03-21T20:22:17.0544701Z     %p_getattr_getattr_l__self___features___12___branch1___0___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___12___branch1___0___bn_bias]
2025-03-21T20:22:17.0546380Z     %p_getattr_getattr_l__self___features___12___branch1___1___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___12___branch1___1___bn_weight]
2025-03-21T20:22:17.0548158Z     %p_getattr_getattr_l__self___features___12___branch1___1___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___12___branch1___1___bn_bias]
2025-03-21T20:22:17.0549892Z     %p_getattr_getattr_l__self___features___12___branch1___2___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___12___branch1___2___bn_weight]
2025-03-21T20:22:17.0552200Z     %p_getattr_getattr_l__self___features___12___branch1___2___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___12___branch1___2___bn_bias]
2025-03-21T20:22:17.0553980Z     %p_getattr_getattr_l__self___features___12___branch2___0___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___12___branch2___0___bn_weight]
2025-03-21T20:22:17.0555645Z     %p_getattr_getattr_l__self___features___12___branch2___0___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___12___branch2___0___bn_bias]
2025-03-21T20:22:17.0557381Z     %p_getattr_getattr_l__self___features___12___branch2___1___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___12___branch2___1___bn_weight]
2025-03-21T20:22:17.0559097Z     %p_getattr_getattr_l__self___features___12___branch2___1___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___12___branch2___1___bn_bias]
2025-03-21T20:22:17.0560877Z     %p_getattr_getattr_l__self___features___12___branch2___2___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___12___branch2___2___bn_weight]
2025-03-21T20:22:17.0562595Z     %p_getattr_getattr_l__self___features___12___branch2___2___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___12___branch2___2___bn_bias]
2025-03-21T20:22:17.0564321Z     %p_getattr_getattr_l__self___features___12___branch2___3___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___12___branch2___3___bn_weight]
2025-03-21T20:22:17.0566048Z     %p_getattr_getattr_l__self___features___12___branch2___3___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___12___branch2___3___bn_bias]
2025-03-21T20:22:17.0567717Z     %p_getattr_getattr_l__self___features___12___branch2___4___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___12___branch2___4___bn_weight]
2025-03-21T20:22:17.0569387Z     %p_getattr_getattr_l__self___features___12___branch2___4___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___12___branch2___4___bn_bias]
2025-03-21T20:22:17.0571047Z     %p_getattr_getattr_l__self___features___12___branch3___1___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___12___branch3___1___bn_weight]
2025-03-21T20:22:17.0572727Z     %p_getattr_getattr_l__self___features___12___branch3___1___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___12___branch3___1___bn_bias]
2025-03-21T20:22:17.0574260Z     %p_getattr_l__self___features___13___branch0_bn_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___13___branch0_bn_weight]
2025-03-21T20:22:17.0575664Z     %p_getattr_l__self___features___13___branch0_bn_bias : [num_users=1] = placeholder[target=p_getattr_l__self___features___13___branch0_bn_bias]
2025-03-21T20:22:17.0577217Z     %p_getattr_getattr_l__self___features___13___branch1___0___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___13___branch1___0___bn_weight]
2025-03-21T20:22:17.0578881Z     %p_getattr_getattr_l__self___features___13___branch1___0___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___13___branch1___0___bn_bias]
2025-03-21T20:22:17.0580580Z     %p_getattr_getattr_l__self___features___13___branch1___1___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___13___branch1___1___bn_weight]
2025-03-21T20:22:17.0582233Z     %p_getattr_getattr_l__self___features___13___branch1___1___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___13___branch1___1___bn_bias]
2025-03-21T20:22:17.0583881Z     %p_getattr_getattr_l__self___features___13___branch1___2___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___13___branch1___2___bn_weight]
2025-03-21T20:22:17.0585987Z     %p_getattr_getattr_l__self___features___13___branch1___2___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___13___branch1___2___bn_bias]
2025-03-21T20:22:17.0587703Z     %p_getattr_getattr_l__self___features___13___branch2___0___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___13___branch2___0___bn_weight]
2025-03-21T20:22:17.0589363Z     %p_getattr_getattr_l__self___features___13___branch2___0___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___13___branch2___0___bn_bias]
2025-03-21T20:22:17.0591116Z     %p_getattr_getattr_l__self___features___13___branch2___1___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___13___branch2___1___bn_weight]
2025-03-21T20:22:17.0592840Z     %p_getattr_getattr_l__self___features___13___branch2___1___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___13___branch2___1___bn_bias]
2025-03-21T20:22:17.0594515Z     %p_getattr_getattr_l__self___features___13___branch2___2___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___13___branch2___2___bn_weight]
2025-03-21T20:22:17.0596171Z     %p_getattr_getattr_l__self___features___13___branch2___2___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___13___branch2___2___bn_bias]
2025-03-21T20:22:17.0597827Z     %p_getattr_getattr_l__self___features___13___branch2___3___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___13___branch2___3___bn_weight]
2025-03-21T20:22:17.0599471Z     %p_getattr_getattr_l__self___features___13___branch2___3___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___13___branch2___3___bn_bias]
2025-03-21T20:22:17.0601131Z     %p_getattr_getattr_l__self___features___13___branch2___4___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___13___branch2___4___bn_weight]
2025-03-21T20:22:17.0602805Z     %p_getattr_getattr_l__self___features___13___branch2___4___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___13___branch2___4___bn_bias]
2025-03-21T20:22:17.0604462Z     %p_getattr_getattr_l__self___features___13___branch3___1___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___13___branch3___1___bn_weight]
2025-03-21T20:22:17.0606275Z     %p_getattr_getattr_l__self___features___13___branch3___1___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___13___branch3___1___bn_bias]
2025-03-21T20:22:17.0607894Z     %p_getattr_l__self___features___14___branch0_bn_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___14___branch0_bn_weight]
2025-03-21T20:22:17.0609299Z     %p_getattr_l__self___features___14___branch0_bn_bias : [num_users=1] = placeholder[target=p_getattr_l__self___features___14___branch0_bn_bias]
2025-03-21T20:22:17.0610839Z     %p_getattr_getattr_l__self___features___14___branch1___0___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___14___branch1___0___bn_weight]
2025-03-21T20:22:17.0612643Z     %p_getattr_getattr_l__self___features___14___branch1___0___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___14___branch1___0___bn_bias]
2025-03-21T20:22:17.0614313Z     %p_getattr_getattr_l__self___features___14___branch1___1___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___14___branch1___1___bn_weight]
2025-03-21T20:22:17.0616077Z     %p_getattr_getattr_l__self___features___14___branch1___1___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___14___branch1___1___bn_bias]
2025-03-21T20:22:17.0617846Z     %p_getattr_getattr_l__self___features___14___branch1___2___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___14___branch1___2___bn_weight]
2025-03-21T20:22:17.0619747Z     %p_getattr_getattr_l__self___features___14___branch1___2___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___14___branch1___2___bn_bias]
2025-03-21T20:22:17.0621519Z     %p_getattr_getattr_l__self___features___14___branch2___0___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___14___branch2___0___bn_weight]
2025-03-21T20:22:17.0623217Z     %p_getattr_getattr_l__self___features___14___branch2___0___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___14___branch2___0___bn_bias]
2025-03-21T20:22:17.0625054Z     %p_getattr_getattr_l__self___features___14___branch2___1___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___14___branch2___1___bn_weight]
2025-03-21T20:22:17.0626790Z     %p_getattr_getattr_l__self___features___14___branch2___1___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___14___branch2___1___bn_bias]
2025-03-21T20:22:17.0628570Z     %p_getattr_getattr_l__self___features___14___branch2___2___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___14___branch2___2___bn_weight]
2025-03-21T20:22:17.0630495Z     %p_getattr_getattr_l__self___features___14___branch2___2___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___14___branch2___2___bn_bias]
2025-03-21T20:22:17.0632342Z     %p_getattr_getattr_l__self___features___14___branch2___3___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___14___branch2___3___bn_weight]
2025-03-21T20:22:17.0634135Z     %p_getattr_getattr_l__self___features___14___branch2___3___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___14___branch2___3___bn_bias]
2025-03-21T20:22:17.0635914Z     %p_getattr_getattr_l__self___features___14___branch2___4___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___14___branch2___4___bn_weight]
2025-03-21T20:22:17.0637815Z     %p_getattr_getattr_l__self___features___14___branch2___4___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___14___branch2___4___bn_bias]
2025-03-21T20:22:17.0639868Z     %p_getattr_getattr_l__self___features___14___branch3___1___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___14___branch3___1___bn_weight]
2025-03-21T20:22:17.0641654Z     %p_getattr_getattr_l__self___features___14___branch3___1___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___14___branch3___1___bn_bias]
2025-03-21T20:22:17.0643253Z     %p_getattr_l__self___features___15___branch0_bn_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___15___branch0_bn_weight]
2025-03-21T20:22:17.0644741Z     %p_getattr_l__self___features___15___branch0_bn_bias : [num_users=1] = placeholder[target=p_getattr_l__self___features___15___branch0_bn_bias]
2025-03-21T20:22:17.0646360Z     %p_getattr_getattr_l__self___features___15___branch1___0___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___15___branch1___0___bn_weight]
2025-03-21T20:22:17.0648162Z     %p_getattr_getattr_l__self___features___15___branch1___0___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___15___branch1___0___bn_bias]
2025-03-21T20:22:17.0649919Z     %p_getattr_getattr_l__self___features___15___branch1___1___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___15___branch1___1___bn_weight]
2025-03-21T20:22:17.0651581Z     %p_getattr_getattr_l__self___features___15___branch1___1___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___15___branch1___1___bn_bias]
2025-03-21T20:22:17.0653257Z     %p_getattr_getattr_l__self___features___15___branch1___2___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___15___branch1___2___bn_weight]
2025-03-21T20:22:17.0655541Z     %p_getattr_getattr_l__self___features___15___branch1___2___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___15___branch1___2___bn_bias]
2025-03-21T20:22:17.0657558Z     %p_getattr_getattr_l__self___features___15___branch2___0___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___15___branch2___0___bn_weight]
2025-03-21T20:22:17.0659251Z     %p_getattr_getattr_l__self___features___15___branch2___0___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___15___branch2___0___bn_bias]
2025-03-21T20:22:17.0660918Z     %p_getattr_getattr_l__self___features___15___branch2___1___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___15___branch2___1___bn_weight]
2025-03-21T20:22:17.0662580Z     %p_getattr_getattr_l__self___features___15___branch2___1___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___15___branch2___1___bn_bias]
2025-03-21T20:22:17.0664461Z     %p_getattr_getattr_l__self___features___15___branch2___2___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___15___branch2___2___bn_weight]
2025-03-21T20:22:17.0666299Z     %p_getattr_getattr_l__self___features___15___branch2___2___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___15___branch2___2___bn_bias]
2025-03-21T20:22:17.0668044Z     %p_getattr_getattr_l__self___features___15___branch2___3___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___15___branch2___3___bn_weight]
2025-03-21T20:22:17.0669697Z     %p_getattr_getattr_l__self___features___15___branch2___3___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___15___branch2___3___bn_bias]
2025-03-21T20:22:17.0671365Z     %p_getattr_getattr_l__self___features___15___branch2___4___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___15___branch2___4___bn_weight]
2025-03-21T20:22:17.0673183Z     %p_getattr_getattr_l__self___features___15___branch2___4___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___15___branch2___4___bn_bias]
2025-03-21T20:22:17.0674927Z     %p_getattr_getattr_l__self___features___15___branch3___1___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___15___branch3___1___bn_weight]
2025-03-21T20:22:17.0676592Z     %p_getattr_getattr_l__self___features___15___branch3___1___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___15___branch3___1___bn_bias]
2025-03-21T20:22:17.0678128Z     %p_getattr_l__self___features___16___branch0_bn_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___16___branch0_bn_weight]
2025-03-21T20:22:17.0679707Z     %p_getattr_l__self___features___16___branch0_bn_bias : [num_users=1] = placeholder[target=p_getattr_l__self___features___16___branch0_bn_bias]
2025-03-21T20:22:17.0681537Z     %p_getattr_getattr_l__self___features___16___branch1___0___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___16___branch1___0___bn_weight]
2025-03-21T20:22:17.0683203Z     %p_getattr_getattr_l__self___features___16___branch1___0___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___16___branch1___0___bn_bias]
2025-03-21T20:22:17.0684865Z     %p_getattr_getattr_l__self___features___16___branch1___1___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___16___branch1___1___bn_weight]
2025-03-21T20:22:17.0686649Z     %p_getattr_getattr_l__self___features___16___branch1___1___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___16___branch1___1___bn_bias]
2025-03-21T20:22:17.0688376Z     %p_getattr_getattr_l__self___features___16___branch1___2___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___16___branch1___2___bn_weight]
2025-03-21T20:22:17.0690584Z     %p_getattr_getattr_l__self___features___16___branch1___2___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___16___branch1___2___bn_bias]
2025-03-21T20:22:17.0692594Z     %p_getattr_getattr_l__self___features___16___branch2___0___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___16___branch2___0___bn_weight]
2025-03-21T20:22:17.0694360Z     %p_getattr_getattr_l__self___features___16___branch2___0___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___16___branch2___0___bn_bias]
2025-03-21T20:22:17.0696099Z     %p_getattr_getattr_l__self___features___16___branch2___1___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___16___branch2___1___bn_weight]
2025-03-21T20:22:17.0697757Z     %p_getattr_getattr_l__self___features___16___branch2___1___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___16___branch2___1___bn_bias]
2025-03-21T20:22:17.0699426Z     %p_getattr_getattr_l__self___features___16___branch2___2___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___16___branch2___2___bn_weight]
2025-03-21T20:22:17.0701231Z     %p_getattr_getattr_l__self___features___16___branch2___2___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___16___branch2___2___bn_bias]
2025-03-21T20:22:17.0703108Z     %p_getattr_getattr_l__self___features___16___branch2___3___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___16___branch2___3___bn_weight]
2025-03-21T20:22:17.0704835Z     %p_getattr_getattr_l__self___features___16___branch2___3___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___16___branch2___3___bn_bias]
2025-03-21T20:22:17.0706600Z     %p_getattr_getattr_l__self___features___16___branch2___4___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___16___branch2___4___bn_weight]
2025-03-21T20:22:17.0708363Z     %p_getattr_getattr_l__self___features___16___branch2___4___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___16___branch2___4___bn_bias]
2025-03-21T20:22:17.0710049Z     %p_getattr_getattr_l__self___features___16___branch3___1___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___16___branch3___1___bn_weight]
2025-03-21T20:22:17.0711785Z     %p_getattr_getattr_l__self___features___16___branch3___1___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___16___branch3___1___bn_bias]
2025-03-21T20:22:17.0713325Z     %p_getattr_l__self___features___17___branch0_bn_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___17___branch0_bn_weight]
2025-03-21T20:22:17.0714758Z     %p_getattr_l__self___features___17___branch0_bn_bias : [num_users=1] = placeholder[target=p_getattr_l__self___features___17___branch0_bn_bias]
2025-03-21T20:22:17.0716367Z     %p_getattr_getattr_l__self___features___17___branch1___0___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___17___branch1___0___bn_weight]
2025-03-21T20:22:17.0718044Z     %p_getattr_getattr_l__self___features___17___branch1___0___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___17___branch1___0___bn_bias]
2025-03-21T20:22:17.0719873Z     %p_getattr_getattr_l__self___features___17___branch1___1___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___17___branch1___1___bn_weight]
2025-03-21T20:22:17.0721599Z     %p_getattr_getattr_l__self___features___17___branch1___1___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___17___branch1___1___bn_bias]
2025-03-21T20:22:17.0723271Z     %p_getattr_getattr_l__self___features___17___branch1___2___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___17___branch1___2___bn_weight]
2025-03-21T20:22:17.0725254Z     %p_getattr_getattr_l__self___features___17___branch1___2___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___17___branch1___2___bn_bias]
2025-03-21T20:22:17.0727107Z     %p_getattr_getattr_l__self___features___17___branch2___0___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___17___branch2___0___bn_weight]
2025-03-21T20:22:17.0728914Z     %p_getattr_getattr_l__self___features___17___branch2___0___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___17___branch2___0___bn_bias]
2025-03-21T20:22:17.0730627Z     %p_getattr_getattr_l__self___features___17___branch2___1___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___17___branch2___1___bn_weight]
2025-03-21T20:22:17.0732288Z     %p_getattr_getattr_l__self___features___17___branch2___1___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___17___branch2___1___bn_bias]
2025-03-21T20:22:17.0733955Z     %p_getattr_getattr_l__self___features___17___branch2___2___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___17___branch2___2___bn_weight]
2025-03-21T20:22:17.0735622Z     %p_getattr_getattr_l__self___features___17___branch2___2___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___17___branch2___2___bn_bias]
2025-03-21T20:22:17.0737424Z     %p_getattr_getattr_l__self___features___17___branch2___3___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___17___branch2___3___bn_weight]
2025-03-21T20:22:17.0739149Z     %p_getattr_getattr_l__self___features___17___branch2___3___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___17___branch2___3___bn_bias]
2025-03-21T20:22:17.0741186Z     %p_getattr_getattr_l__self___features___17___branch2___4___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___17___branch2___4___bn_weight]
2025-03-21T20:22:17.0742950Z     %p_getattr_getattr_l__self___features___17___branch2___4___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___17___branch2___4___bn_bias]
2025-03-21T20:22:17.0744622Z     %p_getattr_getattr_l__self___features___17___branch3___1___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___17___branch3___1___bn_weight]
2025-03-21T20:22:17.0746280Z     %p_getattr_getattr_l__self___features___17___branch3___1___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___17___branch3___1___bn_bias]
2025-03-21T20:22:17.0747952Z     %p_getattr_getattr_l__self___features___18___branch0___0___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___18___branch0___0___bn_weight]
2025-03-21T20:22:17.0749612Z     %p_getattr_getattr_l__self___features___18___branch0___0___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___18___branch0___0___bn_bias]
2025-03-21T20:22:17.0751478Z     %p_getattr_getattr_l__self___features___18___branch0___1___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___18___branch0___1___bn_weight]
2025-03-21T20:22:17.0753263Z     %p_getattr_getattr_l__self___features___18___branch0___1___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___18___branch0___1___bn_bias]
2025-03-21T20:22:17.0755067Z     %p_getattr_getattr_l__self___features___18___branch1___0___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___18___branch1___0___bn_weight]
2025-03-21T20:22:17.0757013Z     %p_getattr_getattr_l__self___features___18___branch1___0___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___18___branch1___0___bn_bias]
2025-03-21T20:22:17.0758744Z     %p_getattr_getattr_l__self___features___18___branch1___1___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___18___branch1___1___bn_weight]
2025-03-21T20:22:17.0760910Z     %p_getattr_getattr_l__self___features___18___branch1___1___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___18___branch1___1___bn_bias]
2025-03-21T20:22:17.0762848Z     %p_getattr_getattr_l__self___features___18___branch1___2___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___18___branch1___2___bn_weight]
2025-03-21T20:22:17.0764712Z     %p_getattr_getattr_l__self___features___18___branch1___2___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___18___branch1___2___bn_bias]
2025-03-21T20:22:17.0766536Z     %p_getattr_getattr_l__self___features___18___branch1___3___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___18___branch1___3___bn_weight]
2025-03-21T20:22:17.0768208Z     %p_getattr_getattr_l__self___features___18___branch1___3___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___18___branch1___3___bn_bias]
2025-03-21T20:22:17.0769903Z     %p_getattr_l__self___features___19___branch0_bn_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___19___branch0_bn_weight]
2025-03-21T20:22:17.0771481Z     %p_getattr_l__self___features___19___branch0_bn_bias : [num_users=1] = placeholder[target=p_getattr_l__self___features___19___branch0_bn_bias]
2025-03-21T20:22:17.0772913Z     %p_getattr_l__self___features___19___branch1_0_bn_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___19___branch1_0_bn_weight]
2025-03-21T20:22:17.0774489Z     %p_getattr_l__self___features___19___branch1_0_bn_bias : [num_users=1] = placeholder[target=p_getattr_l__self___features___19___branch1_0_bn_bias]
2025-03-21T20:22:17.0776005Z     %p_getattr_l__self___features___19___branch1_1a_bn_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___19___branch1_1a_bn_weight]
2025-03-21T20:22:17.0777570Z     %p_getattr_l__self___features___19___branch1_1a_bn_bias : [num_users=1] = placeholder[target=p_getattr_l__self___features___19___branch1_1a_bn_bias]
2025-03-21T20:22:17.0779075Z     %p_getattr_l__self___features___19___branch1_1b_bn_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___19___branch1_1b_bn_weight]
2025-03-21T20:22:17.0780586Z     %p_getattr_l__self___features___19___branch1_1b_bn_bias : [num_users=1] = placeholder[target=p_getattr_l__self___features___19___branch1_1b_bn_bias]
2025-03-21T20:22:17.0782156Z     %p_getattr_l__self___features___19___branch2_0_bn_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___19___branch2_0_bn_weight]
2025-03-21T20:22:17.0783700Z     %p_getattr_l__self___features___19___branch2_0_bn_bias : [num_users=1] = placeholder[target=p_getattr_l__self___features___19___branch2_0_bn_bias]
2025-03-21T20:22:17.0785219Z     %p_getattr_l__self___features___19___branch2_1_bn_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___19___branch2_1_bn_weight]
2025-03-21T20:22:17.0786718Z     %p_getattr_l__self___features___19___branch2_1_bn_bias : [num_users=1] = placeholder[target=p_getattr_l__self___features___19___branch2_1_bn_bias]
2025-03-21T20:22:17.0788231Z     %p_getattr_l__self___features___19___branch2_2_bn_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___19___branch2_2_bn_weight]
2025-03-21T20:22:17.0789862Z     %p_getattr_l__self___features___19___branch2_2_bn_bias : [num_users=1] = placeholder[target=p_getattr_l__self___features___19___branch2_2_bn_bias]
2025-03-21T20:22:17.0791577Z     %p_getattr_l__self___features___19___branch2_3a_bn_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___19___branch2_3a_bn_weight]
2025-03-21T20:22:17.0793082Z     %p_getattr_l__self___features___19___branch2_3a_bn_bias : [num_users=1] = placeholder[target=p_getattr_l__self___features___19___branch2_3a_bn_bias]
2025-03-21T20:22:17.0794634Z     %p_getattr_l__self___features___19___branch2_3b_bn_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___19___branch2_3b_bn_weight]
2025-03-21T20:22:17.0796398Z     %p_getattr_l__self___features___19___branch2_3b_bn_bias : [num_users=1] = placeholder[target=p_getattr_l__self___features___19___branch2_3b_bn_bias]
2025-03-21T20:22:17.0798088Z     %p_getattr_getattr_l__self___features___19___branch3___1___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___19___branch3___1___bn_weight]
2025-03-21T20:22:17.0799956Z     %p_getattr_getattr_l__self___features___19___branch3___1___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___19___branch3___1___bn_bias]
2025-03-21T20:22:17.0801692Z     %p_getattr_l__self___features___20___branch0_bn_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___20___branch0_bn_weight]
2025-03-21T20:22:17.0803190Z     %p_getattr_l__self___features___20___branch0_bn_bias : [num_users=1] = placeholder[target=p_getattr_l__self___features___20___branch0_bn_bias]
2025-03-21T20:22:17.0804690Z     %p_getattr_l__self___features___20___branch1_0_bn_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___20___branch1_0_bn_weight]
2025-03-21T20:22:17.0806278Z     %p_getattr_l__self___features___20___branch1_0_bn_bias : [num_users=1] = placeholder[target=p_getattr_l__self___features___20___branch1_0_bn_bias]
2025-03-21T20:22:17.0807790Z     %p_getattr_l__self___features___20___branch1_1a_bn_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___20___branch1_1a_bn_weight]
2025-03-21T20:22:17.0809273Z     %p_getattr_l__self___features___20___branch1_1a_bn_bias : [num_users=1] = placeholder[target=p_getattr_l__self___features___20___branch1_1a_bn_bias]
2025-03-21T20:22:17.0810831Z     %p_getattr_l__self___features___20___branch1_1b_bn_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___20___branch1_1b_bn_weight]
2025-03-21T20:22:17.0812333Z     %p_getattr_l__self___features___20___branch1_1b_bn_bias : [num_users=1] = placeholder[target=p_getattr_l__self___features___20___branch1_1b_bn_bias]
2025-03-21T20:22:17.0813785Z     %p_getattr_l__self___features___20___branch2_0_bn_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___20___branch2_0_bn_weight]
2025-03-21T20:22:17.0815338Z     %p_getattr_l__self___features___20___branch2_0_bn_bias : [num_users=1] = placeholder[target=p_getattr_l__self___features___20___branch2_0_bn_bias]
2025-03-21T20:22:17.0816783Z     %p_getattr_l__self___features___20___branch2_1_bn_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___20___branch2_1_bn_weight]
2025-03-21T20:22:17.0818218Z     %p_getattr_l__self___features___20___branch2_1_bn_bias : [num_users=1] = placeholder[target=p_getattr_l__self___features___20___branch2_1_bn_bias]
2025-03-21T20:22:17.0819769Z     %p_getattr_l__self___features___20___branch2_2_bn_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___20___branch2_2_bn_weight]
2025-03-21T20:22:17.0821310Z     %p_getattr_l__self___features___20___branch2_2_bn_bias : [num_users=1] = placeholder[target=p_getattr_l__self___features___20___branch2_2_bn_bias]
2025-03-21T20:22:17.0822832Z     %p_getattr_l__self___features___20___branch2_3a_bn_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___20___branch2_3a_bn_weight]
2025-03-21T20:22:17.0824285Z     %p_getattr_l__self___features___20___branch2_3a_bn_bias : [num_users=1] = placeholder[target=p_getattr_l__self___features___20___branch2_3a_bn_bias]
2025-03-21T20:22:17.0825742Z     %p_getattr_l__self___features___20___branch2_3b_bn_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___20___branch2_3b_bn_weight]
2025-03-21T20:22:17.0827282Z     %p_getattr_l__self___features___20___branch2_3b_bn_bias : [num_users=1] = placeholder[target=p_getattr_l__self___features___20___branch2_3b_bn_bias]
2025-03-21T20:22:17.0828833Z     %p_getattr_getattr_l__self___features___20___branch3___1___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___20___branch3___1___bn_weight]
2025-03-21T20:22:17.0830878Z     %p_getattr_getattr_l__self___features___20___branch3___1___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___20___branch3___1___bn_bias]
2025-03-21T20:22:17.0832600Z     %p_getattr_l__self___features___21___branch0_bn_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___21___branch0_bn_weight]
2025-03-21T20:22:17.0834101Z     %p_getattr_l__self___features___21___branch0_bn_bias : [num_users=1] = placeholder[target=p_getattr_l__self___features___21___branch0_bn_bias]
2025-03-21T20:22:17.0835644Z     %p_getattr_l__self___features___21___branch1_0_bn_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___21___branch1_0_bn_weight]
2025-03-21T20:22:17.0837166Z     %p_getattr_l__self___features___21___branch1_0_bn_bias : [num_users=1] = placeholder[target=p_getattr_l__self___features___21___branch1_0_bn_bias]
2025-03-21T20:22:17.0838615Z     %p_getattr_l__self___features___21___branch1_1a_bn_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___21___branch1_1a_bn_weight]
2025-03-21T20:22:17.0840347Z     %p_getattr_l__self___features___21___branch1_1a_bn_bias : [num_users=1] = placeholder[target=p_getattr_l__self___features___21___branch1_1a_bn_bias]
2025-03-21T20:22:17.0841894Z     %p_getattr_l__self___features___21___branch1_1b_bn_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___21___branch1_1b_bn_weight]
2025-03-21T20:22:17.0843444Z     %p_getattr_l__self___features___21___branch1_1b_bn_bias : [num_users=1] = placeholder[target=p_getattr_l__self___features___21___branch1_1b_bn_bias]
2025-03-21T20:22:17.0845009Z     %p_getattr_l__self___features___21___branch2_0_bn_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___21___branch2_0_bn_weight]
2025-03-21T20:22:17.0846647Z     %p_getattr_l__self___features___21___branch2_0_bn_bias : [num_users=1] = placeholder[target=p_getattr_l__self___features___21___branch2_0_bn_bias]
2025-03-21T20:22:17.0848238Z     %p_getattr_l__self___features___21___branch2_1_bn_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___21___branch2_1_bn_weight]
2025-03-21T20:22:17.0849771Z     %p_getattr_l__self___features___21___branch2_1_bn_bias : [num_users=1] = placeholder[target=p_getattr_l__self___features___21___branch2_1_bn_bias]
2025-03-21T20:22:17.0851320Z     %p_getattr_l__self___features___21___branch2_2_bn_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___21___branch2_2_bn_weight]
2025-03-21T20:22:17.0852861Z     %p_getattr_l__self___features___21___branch2_2_bn_bias : [num_users=1] = placeholder[target=p_getattr_l__self___features___21___branch2_2_bn_bias]
2025-03-21T20:22:17.0854505Z     %p_getattr_l__self___features___21___branch2_3a_bn_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___21___branch2_3a_bn_weight]
2025-03-21T20:22:17.0855967Z     %p_getattr_l__self___features___21___branch2_3a_bn_bias : [num_users=1] = placeholder[target=p_getattr_l__self___features___21___branch2_3a_bn_bias]
2025-03-21T20:22:17.0857626Z     %p_getattr_l__self___features___21___branch2_3b_bn_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___21___branch2_3b_bn_weight]
2025-03-21T20:22:17.0859168Z     %p_getattr_l__self___features___21___branch2_3b_bn_bias : [num_users=1] = placeholder[target=p_getattr_l__self___features___21___branch2_3b_bn_bias]
2025-03-21T20:22:17.0860783Z     %p_getattr_getattr_l__self___features___21___branch3___1___bn_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___21___branch3___1___bn_weight]
2025-03-21T20:22:17.0862562Z     %p_getattr_getattr_l__self___features___21___branch3___1___bn_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___21___branch3___1___bn_bias]
2025-03-21T20:22:17.0864139Z     %p_getattr_l__self___features___0___conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___0___conv_weight]
2025-03-21T20:22:17.0865847Z     %p_getattr_l__self___features___1___conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___1___conv_weight]
2025-03-21T20:22:17.0867361Z     %p_getattr_l__self___features___2___conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___2___conv_weight]
2025-03-21T20:22:17.0868902Z     %p_getattr_l__self___features___3___conv_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___3___conv_conv_weight]
2025-03-21T20:22:17.0870467Z     %p_getattr_getattr_l__self___features___4___branch0___0___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___4___branch0___0___conv_weight]
2025-03-21T20:22:17.0872423Z     %p_getattr_getattr_l__self___features___4___branch0___1___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___4___branch0___1___conv_weight]
2025-03-21T20:22:17.0874167Z     %p_getattr_getattr_l__self___features___4___branch1___0___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___4___branch1___0___conv_weight]
2025-03-21T20:22:17.0876001Z     %p_getattr_getattr_l__self___features___4___branch1___1___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___4___branch1___1___conv_weight]
2025-03-21T20:22:17.0878039Z     %p_getattr_getattr_l__self___features___4___branch1___2___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___4___branch1___2___conv_weight]
2025-03-21T20:22:17.0879917Z     %p_getattr_getattr_l__self___features___4___branch1___3___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___4___branch1___3___conv_weight]
2025-03-21T20:22:17.0881587Z     %p_getattr_l__self___features___5___conv_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___5___conv_conv_weight]
2025-03-21T20:22:17.0883112Z     %p_getattr_l__self___features___6___branch0_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___6___branch0_conv_weight]
2025-03-21T20:22:17.0884802Z     %p_getattr_getattr_l__self___features___6___branch1___0___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___6___branch1___0___conv_weight]
2025-03-21T20:22:17.0886660Z     %p_getattr_getattr_l__self___features___6___branch1___1___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___6___branch1___1___conv_weight]
2025-03-21T20:22:17.0888493Z     %p_getattr_getattr_l__self___features___6___branch2___0___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___6___branch2___0___conv_weight]
2025-03-21T20:22:17.0890358Z     %p_getattr_getattr_l__self___features___6___branch2___1___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___6___branch2___1___conv_weight]
2025-03-21T20:22:17.0892231Z     %p_getattr_getattr_l__self___features___6___branch2___2___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___6___branch2___2___conv_weight]
2025-03-21T20:22:17.0893962Z     %p_getattr_getattr_l__self___features___6___branch3___1___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___6___branch3___1___conv_weight]
2025-03-21T20:22:17.0895717Z     %p_getattr_l__self___features___7___branch0_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___7___branch0_conv_weight]
2025-03-21T20:22:17.0897359Z     %p_getattr_getattr_l__self___features___7___branch1___0___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___7___branch1___0___conv_weight]
2025-03-21T20:22:17.0899174Z     %p_getattr_getattr_l__self___features___7___branch1___1___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___7___branch1___1___conv_weight]
2025-03-21T20:22:17.0901080Z     %p_getattr_getattr_l__self___features___7___branch2___0___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___7___branch2___0___conv_weight]
2025-03-21T20:22:17.0903283Z     %p_getattr_getattr_l__self___features___7___branch2___1___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___7___branch2___1___conv_weight]
2025-03-21T20:22:17.0905040Z     %p_getattr_getattr_l__self___features___7___branch2___2___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___7___branch2___2___conv_weight]
2025-03-21T20:22:17.0906853Z     %p_getattr_getattr_l__self___features___7___branch3___1___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___7___branch3___1___conv_weight]
2025-03-21T20:22:17.0908670Z     %p_getattr_l__self___features___8___branch0_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___8___branch0_conv_weight]
2025-03-21T20:22:17.0910311Z     %p_getattr_getattr_l__self___features___8___branch1___0___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___8___branch1___0___conv_weight]
2025-03-21T20:22:17.0912142Z     %p_getattr_getattr_l__self___features___8___branch1___1___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___8___branch1___1___conv_weight]
2025-03-21T20:22:17.0913924Z     %p_getattr_getattr_l__self___features___8___branch2___0___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___8___branch2___0___conv_weight]
2025-03-21T20:22:17.0915771Z     %p_getattr_getattr_l__self___features___8___branch2___1___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___8___branch2___1___conv_weight]
2025-03-21T20:22:17.0917537Z     %p_getattr_getattr_l__self___features___8___branch2___2___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___8___branch2___2___conv_weight]
2025-03-21T20:22:17.0919263Z     %p_getattr_getattr_l__self___features___8___branch3___1___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___8___branch3___1___conv_weight]
2025-03-21T20:22:17.0920879Z     %p_getattr_l__self___features___9___branch0_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___9___branch0_conv_weight]
2025-03-21T20:22:17.0922678Z     %p_getattr_getattr_l__self___features___9___branch1___0___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___9___branch1___0___conv_weight]
2025-03-21T20:22:17.0924390Z     %p_getattr_getattr_l__self___features___9___branch1___1___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___9___branch1___1___conv_weight]
2025-03-21T20:22:17.0926182Z     %p_getattr_getattr_l__self___features___9___branch2___0___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___9___branch2___0___conv_weight]
2025-03-21T20:22:17.0927922Z     %p_getattr_getattr_l__self___features___9___branch2___1___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___9___branch2___1___conv_weight]
2025-03-21T20:22:17.0929660Z     %p_getattr_getattr_l__self___features___9___branch2___2___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___9___branch2___2___conv_weight]
2025-03-21T20:22:17.0931461Z     %p_getattr_getattr_l__self___features___9___branch3___1___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___9___branch3___1___conv_weight]
2025-03-21T20:22:17.0933062Z     %p_getattr_l__self___features___10___branch0_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___10___branch0_conv_weight]
2025-03-21T20:22:17.0934812Z     %p_getattr_getattr_l__self___features___10___branch1___0___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___10___branch1___0___conv_weight]
2025-03-21T20:22:17.0936606Z     %p_getattr_getattr_l__self___features___10___branch1___1___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___10___branch1___1___conv_weight]
2025-03-21T20:22:17.0938759Z     %p_getattr_getattr_l__self___features___10___branch1___2___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___10___branch1___2___conv_weight]
2025-03-21T20:22:17.0940673Z     %p_getattr_l__self___features___11___branch0_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___11___branch0_conv_weight]
2025-03-21T20:22:17.0942284Z     %p_getattr_getattr_l__self___features___11___branch1___0___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___11___branch1___0___conv_weight]
2025-03-21T20:22:17.0944103Z     %p_getattr_getattr_l__self___features___11___branch1___1___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___11___branch1___1___conv_weight]
2025-03-21T20:22:17.0946016Z     %p_getattr_getattr_l__self___features___11___branch1___2___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___11___branch1___2___conv_weight]
2025-03-21T20:22:17.0947775Z     %p_getattr_getattr_l__self___features___11___branch2___0___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___11___branch2___0___conv_weight]
2025-03-21T20:22:17.0949661Z     %p_getattr_getattr_l__self___features___11___branch2___1___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___11___branch2___1___conv_weight]
2025-03-21T20:22:17.0951402Z     %p_getattr_getattr_l__self___features___11___branch2___2___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___11___branch2___2___conv_weight]
2025-03-21T20:22:17.0953372Z     %p_getattr_getattr_l__self___features___11___branch2___3___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___11___branch2___3___conv_weight]
2025-03-21T20:22:17.0955328Z     %p_getattr_getattr_l__self___features___11___branch2___4___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___11___branch2___4___conv_weight]
2025-03-21T20:22:17.0957286Z     %p_getattr_getattr_l__self___features___11___branch3___1___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___11___branch3___1___conv_weight]
2025-03-21T20:22:17.0959049Z     %p_getattr_l__self___features___12___branch0_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___12___branch0_conv_weight]
2025-03-21T20:22:17.0960805Z     %p_getattr_getattr_l__self___features___12___branch1___0___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___12___branch1___0___conv_weight]
2025-03-21T20:22:17.0962758Z     %p_getattr_getattr_l__self___features___12___branch1___1___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___12___branch1___1___conv_weight]
2025-03-21T20:22:17.0964514Z     %p_getattr_getattr_l__self___features___12___branch1___2___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___12___branch1___2___conv_weight]
2025-03-21T20:22:17.0966534Z     %p_getattr_getattr_l__self___features___12___branch2___0___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___12___branch2___0___conv_weight]
2025-03-21T20:22:17.0968266Z     %p_getattr_getattr_l__self___features___12___branch2___1___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___12___branch2___1___conv_weight]
2025-03-21T20:22:17.0970271Z     %p_getattr_getattr_l__self___features___12___branch2___2___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___12___branch2___2___conv_weight]
2025-03-21T20:22:17.0972186Z     %p_getattr_getattr_l__self___features___12___branch2___3___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___12___branch2___3___conv_weight]
2025-03-21T20:22:17.0974270Z     %p_getattr_getattr_l__self___features___12___branch2___4___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___12___branch2___4___conv_weight]
2025-03-21T20:22:17.0976424Z     %p_getattr_getattr_l__self___features___12___branch3___1___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___12___branch3___1___conv_weight]
2025-03-21T20:22:17.0978373Z     %p_getattr_l__self___features___13___branch0_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___13___branch0_conv_weight]
2025-03-21T20:22:17.0980142Z     %p_getattr_getattr_l__self___features___13___branch1___0___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___13___branch1___0___conv_weight]
2025-03-21T20:22:17.0982118Z     %p_getattr_getattr_l__self___features___13___branch1___1___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___13___branch1___1___conv_weight]
2025-03-21T20:22:17.0983988Z     %p_getattr_getattr_l__self___features___13___branch1___2___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___13___branch1___2___conv_weight]
2025-03-21T20:22:17.0985851Z     %p_getattr_getattr_l__self___features___13___branch2___0___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___13___branch2___0___conv_weight]
2025-03-21T20:22:17.0987708Z     %p_getattr_getattr_l__self___features___13___branch2___1___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___13___branch2___1___conv_weight]
2025-03-21T20:22:17.0989693Z     %p_getattr_getattr_l__self___features___13___branch2___2___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___13___branch2___2___conv_weight]
2025-03-21T20:22:17.0991576Z     %p_getattr_getattr_l__self___features___13___branch2___3___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___13___branch2___3___conv_weight]
2025-03-21T20:22:17.0993474Z     %p_getattr_getattr_l__self___features___13___branch2___4___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___13___branch2___4___conv_weight]
2025-03-21T20:22:17.0995323Z     %p_getattr_getattr_l__self___features___13___branch3___1___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___13___branch3___1___conv_weight]
2025-03-21T20:22:17.0997074Z     %p_getattr_l__self___features___14___branch0_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___14___branch0_conv_weight]
2025-03-21T20:22:17.0998682Z     %p_getattr_getattr_l__self___features___14___branch1___0___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___14___branch1___0___conv_weight]
2025-03-21T20:22:17.1000586Z     %p_getattr_getattr_l__self___features___14___branch1___1___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___14___branch1___1___conv_weight]
2025-03-21T20:22:17.1002496Z     %p_getattr_getattr_l__self___features___14___branch1___2___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___14___branch1___2___conv_weight]
2025-03-21T20:22:17.1004246Z     %p_getattr_getattr_l__self___features___14___branch2___0___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___14___branch2___0___conv_weight]
2025-03-21T20:22:17.1006247Z     %p_getattr_getattr_l__self___features___14___branch2___1___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___14___branch2___1___conv_weight]
2025-03-21T20:22:17.1007987Z     %p_getattr_getattr_l__self___features___14___branch2___2___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___14___branch2___2___conv_weight]
2025-03-21T20:22:17.1009887Z     %p_getattr_getattr_l__self___features___14___branch2___3___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___14___branch2___3___conv_weight]
2025-03-21T20:22:17.1011995Z     %p_getattr_getattr_l__self___features___14___branch2___4___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___14___branch2___4___conv_weight]
2025-03-21T20:22:17.1013798Z     %p_getattr_getattr_l__self___features___14___branch3___1___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___14___branch3___1___conv_weight]
2025-03-21T20:22:17.1015589Z     %p_getattr_l__self___features___15___branch0_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___15___branch0_conv_weight]
2025-03-21T20:22:17.1017198Z     %p_getattr_getattr_l__self___features___15___branch1___0___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___15___branch1___0___conv_weight]
2025-03-21T20:22:17.1018930Z     %p_getattr_getattr_l__self___features___15___branch1___1___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___15___branch1___1___conv_weight]
2025-03-21T20:22:17.1020751Z     %p_getattr_getattr_l__self___features___15___branch1___2___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___15___branch1___2___conv_weight]
2025-03-21T20:22:17.1022564Z     %p_getattr_getattr_l__self___features___15___branch2___0___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___15___branch2___0___conv_weight]
2025-03-21T20:22:17.1024363Z     %p_getattr_getattr_l__self___features___15___branch2___1___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___15___branch2___1___conv_weight]
2025-03-21T20:22:17.1026137Z     %p_getattr_getattr_l__self___features___15___branch2___2___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___15___branch2___2___conv_weight]
2025-03-21T20:22:17.1027909Z     %p_getattr_getattr_l__self___features___15___branch2___3___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___15___branch2___3___conv_weight]
2025-03-21T20:22:17.1029655Z     %p_getattr_getattr_l__self___features___15___branch2___4___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___15___branch2___4___conv_weight]
2025-03-21T20:22:17.1031549Z     %p_getattr_getattr_l__self___features___15___branch3___1___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___15___branch3___1___conv_weight]
2025-03-21T20:22:17.1033283Z     %p_getattr_l__self___features___16___branch0_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___16___branch0_conv_weight]
2025-03-21T20:22:17.1034938Z     %p_getattr_getattr_l__self___features___16___branch1___0___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___16___branch1___0___conv_weight]
2025-03-21T20:22:17.1036833Z     %p_getattr_getattr_l__self___features___16___branch1___1___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___16___branch1___1___conv_weight]
2025-03-21T20:22:17.1038701Z     %p_getattr_getattr_l__self___features___16___branch1___2___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___16___branch1___2___conv_weight]
2025-03-21T20:22:17.1040682Z     %p_getattr_getattr_l__self___features___16___branch2___0___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___16___branch2___0___conv_weight]
2025-03-21T20:22:17.1042529Z     %p_getattr_getattr_l__self___features___16___branch2___1___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___16___branch2___1___conv_weight]
2025-03-21T20:22:17.1044369Z     %p_getattr_getattr_l__self___features___16___branch2___2___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___16___branch2___2___conv_weight]
2025-03-21T20:22:17.1046233Z     %p_getattr_getattr_l__self___features___16___branch2___3___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___16___branch2___3___conv_weight]
2025-03-21T20:22:17.1048607Z     %p_getattr_getattr_l__self___features___16___branch2___4___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___16___branch2___4___conv_weight]
2025-03-21T20:22:17.1050438Z     %p_getattr_getattr_l__self___features___16___branch3___1___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___16___branch3___1___conv_weight]
2025-03-21T20:22:17.1052102Z     %p_getattr_l__self___features___17___branch0_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___17___branch0_conv_weight]
2025-03-21T20:22:17.1053846Z     %p_getattr_getattr_l__self___features___17___branch1___0___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___17___branch1___0___conv_weight]
2025-03-21T20:22:17.1055678Z     %p_getattr_getattr_l__self___features___17___branch1___1___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___17___branch1___1___conv_weight]
2025-03-21T20:22:17.1057620Z     %p_getattr_getattr_l__self___features___17___branch1___2___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___17___branch1___2___conv_weight]
2025-03-21T20:22:17.1059416Z     %p_getattr_getattr_l__self___features___17___branch2___0___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___17___branch2___0___conv_weight]
2025-03-21T20:22:17.1061146Z     %p_getattr_getattr_l__self___features___17___branch2___1___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___17___branch2___1___conv_weight]
2025-03-21T20:22:17.1063000Z     %p_getattr_getattr_l__self___features___17___branch2___2___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___17___branch2___2___conv_weight]
2025-03-21T20:22:17.1078961Z     %p_getattr_getattr_l__self___features___17___branch2___3___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___17___branch2___3___conv_weight]
2025-03-21T20:22:17.1080984Z     %p_getattr_getattr_l__self___features___17___branch2___4___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___17___branch2___4___conv_weight]
2025-03-21T20:22:17.1082800Z     %p_getattr_getattr_l__self___features___17___branch3___1___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___17___branch3___1___conv_weight]
2025-03-21T20:22:17.1084687Z     %p_getattr_getattr_l__self___features___18___branch0___0___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___18___branch0___0___conv_weight]
2025-03-21T20:22:17.1086700Z     %p_getattr_getattr_l__self___features___18___branch0___1___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___18___branch0___1___conv_weight]
2025-03-21T20:22:17.1088675Z     %p_getattr_getattr_l__self___features___18___branch1___0___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___18___branch1___0___conv_weight]
2025-03-21T20:22:17.1090483Z     %p_getattr_getattr_l__self___features___18___branch1___1___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___18___branch1___1___conv_weight]
2025-03-21T20:22:17.1092311Z     %p_getattr_getattr_l__self___features___18___branch1___2___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___18___branch1___2___conv_weight]
2025-03-21T20:22:17.1094091Z     %p_getattr_getattr_l__self___features___18___branch1___3___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___18___branch1___3___conv_weight]
2025-03-21T20:22:17.1095843Z     %p_getattr_l__self___features___19___branch0_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___19___branch0_conv_weight]
2025-03-21T20:22:17.1097621Z     %p_getattr_l__self___features___19___branch1_0_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___19___branch1_0_conv_weight]
2025-03-21T20:22:17.1099260Z     %p_getattr_l__self___features___19___branch1_1a_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___19___branch1_1a_conv_weight]
2025-03-21T20:22:17.1101024Z     %p_getattr_l__self___features___19___branch1_1b_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___19___branch1_1b_conv_weight]
2025-03-21T20:22:17.1102838Z     %p_getattr_l__self___features___19___branch2_0_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___19___branch2_0_conv_weight]
2025-03-21T20:22:17.1104466Z     %p_getattr_l__self___features___19___branch2_1_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___19___branch2_1_conv_weight]
2025-03-21T20:22:17.1105990Z     %p_getattr_l__self___features___19___branch2_2_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___19___branch2_2_conv_weight]
2025-03-21T20:22:17.1107528Z     %p_getattr_l__self___features___19___branch2_3a_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___19___branch2_3a_conv_weight]
2025-03-21T20:22:17.1109198Z     %p_getattr_l__self___features___19___branch2_3b_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___19___branch2_3b_conv_weight]
2025-03-21T20:22:17.1110842Z     %p_getattr_getattr_l__self___features___19___branch3___1___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___19___branch3___1___conv_weight]
2025-03-21T20:22:17.1112540Z     %p_getattr_l__self___features___20___branch0_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___20___branch0_conv_weight]
2025-03-21T20:22:17.1114124Z     %p_getattr_l__self___features___20___branch1_0_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___20___branch1_0_conv_weight]
2025-03-21T20:22:17.1115788Z     %p_getattr_l__self___features___20___branch1_1a_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___20___branch1_1a_conv_weight]
2025-03-21T20:22:17.1117380Z     %p_getattr_l__self___features___20___branch1_1b_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___20___branch1_1b_conv_weight]
2025-03-21T20:22:17.1118945Z     %p_getattr_l__self___features___20___branch2_0_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___20___branch2_0_conv_weight]
2025-03-21T20:22:17.1120692Z     %p_getattr_l__self___features___20___branch2_1_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___20___branch2_1_conv_weight]
2025-03-21T20:22:17.1122197Z     %p_getattr_l__self___features___20___branch2_2_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___20___branch2_2_conv_weight]
2025-03-21T20:22:17.1123779Z     %p_getattr_l__self___features___20___branch2_3a_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___20___branch2_3a_conv_weight]
2025-03-21T20:22:17.1125317Z     %p_getattr_l__self___features___20___branch2_3b_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___20___branch2_3b_conv_weight]
2025-03-21T20:22:17.1127196Z     %p_getattr_getattr_l__self___features___20___branch3___1___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___20___branch3___1___conv_weight]
2025-03-21T20:22:17.1128862Z     %p_getattr_l__self___features___21___branch0_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___21___branch0_conv_weight]
2025-03-21T20:22:17.1130368Z     %p_getattr_l__self___features___21___branch1_0_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___21___branch1_0_conv_weight]
2025-03-21T20:22:17.1132093Z     %p_getattr_l__self___features___21___branch1_1a_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___21___branch1_1a_conv_weight]
2025-03-21T20:22:17.1134179Z     %p_getattr_l__self___features___21___branch1_1b_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___21___branch1_1b_conv_weight]
2025-03-21T20:22:17.1135807Z     %p_getattr_l__self___features___21___branch2_0_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___21___branch2_0_conv_weight]
2025-03-21T20:22:17.1137508Z     %p_getattr_l__self___features___21___branch2_1_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___21___branch2_1_conv_weight]
2025-03-21T20:22:17.1139105Z     %p_getattr_l__self___features___21___branch2_2_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___21___branch2_2_conv_weight]
2025-03-21T20:22:17.1141038Z     %p_getattr_l__self___features___21___branch2_3a_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___21___branch2_3a_conv_weight]
2025-03-21T20:22:17.1142698Z     %p_getattr_l__self___features___21___branch2_3b_conv_weight : [num_users=1] = placeholder[target=p_getattr_l__self___features___21___branch2_3b_conv_weight]
2025-03-21T20:22:17.1144339Z     %p_getattr_getattr_l__self___features___21___branch3___1___conv_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___features___21___branch3___1___conv_weight]
2025-03-21T20:22:17.1145616Z     %p_last_linear_weight : [num_users=1] = placeholder[target=p_last_linear_weight]
2025-03-21T20:22:17.1146445Z     %p_last_linear_bias : [num_users=1] = placeholder[target=p_last_linear_bias]
2025-03-21T20:22:17.1147589Z     %b_getattr_l__self___features___0___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_l__self___features___0___bn_running_mean]
2025-03-21T20:22:17.1148958Z     %b_getattr_l__self___features___0___bn_running_var : [num_users=1] = placeholder[target=b_getattr_l__self___features___0___bn_running_var]
2025-03-21T20:22:17.1150328Z     %b_getattr_l__self___features___1___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_l__self___features___1___bn_running_mean]
2025-03-21T20:22:17.1151696Z     %b_getattr_l__self___features___1___bn_running_var : [num_users=1] = placeholder[target=b_getattr_l__self___features___1___bn_running_var]
2025-03-21T20:22:17.1153057Z     %b_getattr_l__self___features___2___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_l__self___features___2___bn_running_mean]
2025-03-21T20:22:17.1154523Z     %b_getattr_l__self___features___2___bn_running_var : [num_users=1] = placeholder[target=b_getattr_l__self___features___2___bn_running_var]
2025-03-21T20:22:17.1156001Z     %b_getattr_l__self___features___3___conv_bn_running_mean : [num_users=1] = placeholder[target=b_getattr_l__self___features___3___conv_bn_running_mean]
2025-03-21T20:22:17.1157646Z     %b_getattr_l__self___features___3___conv_bn_running_var : [num_users=1] = placeholder[target=b_getattr_l__self___features___3___conv_bn_running_var]
2025-03-21T20:22:17.1159267Z     %b_getattr_getattr_l__self___features___4___branch0___0___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___4___branch0___0___bn_running_mean]
2025-03-21T20:22:17.1161138Z     %b_getattr_getattr_l__self___features___4___branch0___0___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___4___branch0___0___bn_running_var]
2025-03-21T20:22:17.1162906Z     %b_getattr_getattr_l__self___features___4___branch0___1___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___4___branch0___1___bn_running_mean]
2025-03-21T20:22:17.1164674Z     %b_getattr_getattr_l__self___features___4___branch0___1___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___4___branch0___1___bn_running_var]
2025-03-21T20:22:17.1166527Z     %b_getattr_getattr_l__self___features___4___branch1___0___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___4___branch1___0___bn_running_mean]
2025-03-21T20:22:17.1168802Z     %b_getattr_getattr_l__self___features___4___branch1___0___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___4___branch1___0___bn_running_var]
2025-03-21T20:22:17.1170598Z     %b_getattr_getattr_l__self___features___4___branch1___1___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___4___branch1___1___bn_running_mean]
2025-03-21T20:22:17.1172372Z     %b_getattr_getattr_l__self___features___4___branch1___1___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___4___branch1___1___bn_running_var]
2025-03-21T20:22:17.1174151Z     %b_getattr_getattr_l__self___features___4___branch1___2___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___4___branch1___2___bn_running_mean]
2025-03-21T20:22:17.1175920Z     %b_getattr_getattr_l__self___features___4___branch1___2___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___4___branch1___2___bn_running_var]
2025-03-21T20:22:17.1177821Z     %b_getattr_getattr_l__self___features___4___branch1___3___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___4___branch1___3___bn_running_mean]
2025-03-21T20:22:17.1179652Z     %b_getattr_getattr_l__self___features___4___branch1___3___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___4___branch1___3___bn_running_var]
2025-03-21T20:22:17.1181318Z     %b_getattr_l__self___features___5___conv_bn_running_mean : [num_users=1] = placeholder[target=b_getattr_l__self___features___5___conv_bn_running_mean]
2025-03-21T20:22:17.1182883Z     %b_getattr_l__self___features___5___conv_bn_running_var : [num_users=1] = placeholder[target=b_getattr_l__self___features___5___conv_bn_running_var]
2025-03-21T20:22:17.1184383Z     %b_getattr_l__self___features___6___branch0_bn_running_mean : [num_users=1] = placeholder[target=b_getattr_l__self___features___6___branch0_bn_running_mean]
2025-03-21T20:22:17.1186025Z     %b_getattr_l__self___features___6___branch0_bn_running_var : [num_users=1] = placeholder[target=b_getattr_l__self___features___6___branch0_bn_running_var]
2025-03-21T20:22:17.1187758Z     %b_getattr_getattr_l__self___features___6___branch1___0___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___6___branch1___0___bn_running_mean]
2025-03-21T20:22:17.1189701Z     %b_getattr_getattr_l__self___features___6___branch1___0___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___6___branch1___0___bn_running_var]
2025-03-21T20:22:17.1191741Z     %b_getattr_getattr_l__self___features___6___branch1___1___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___6___branch1___1___bn_running_mean]
2025-03-21T20:22:17.1193577Z     %b_getattr_getattr_l__self___features___6___branch1___1___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___6___branch1___1___bn_running_var]
2025-03-21T20:22:17.1195431Z     %b_getattr_getattr_l__self___features___6___branch2___0___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___6___branch2___0___bn_running_mean]
2025-03-21T20:22:17.1197295Z     %b_getattr_getattr_l__self___features___6___branch2___0___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___6___branch2___0___bn_running_var]
2025-03-21T20:22:17.1199068Z     %b_getattr_getattr_l__self___features___6___branch2___1___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___6___branch2___1___bn_running_mean]
2025-03-21T20:22:17.1201000Z     %b_getattr_getattr_l__self___features___6___branch2___1___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___6___branch2___1___bn_running_var]
2025-03-21T20:22:17.1203024Z     %b_getattr_getattr_l__self___features___6___branch2___2___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___6___branch2___2___bn_running_mean]
2025-03-21T20:22:17.1205022Z     %b_getattr_getattr_l__self___features___6___branch2___2___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___6___branch2___2___bn_running_var]
2025-03-21T20:22:17.1207004Z     %b_getattr_getattr_l__self___features___6___branch3___1___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___6___branch3___1___bn_running_mean]
2025-03-21T20:22:17.1208781Z     %b_getattr_getattr_l__self___features___6___branch3___1___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___6___branch3___1___bn_running_var]
2025-03-21T20:22:17.1210435Z     %b_getattr_l__self___features___7___branch0_bn_running_mean : [num_users=1] = placeholder[target=b_getattr_l__self___features___7___branch0_bn_running_mean]
2025-03-21T20:22:17.1211973Z     %b_getattr_l__self___features___7___branch0_bn_running_var : [num_users=1] = placeholder[target=b_getattr_l__self___features___7___branch0_bn_running_var]
2025-03-21T20:22:17.1213652Z     %b_getattr_getattr_l__self___features___7___branch1___0___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___7___branch1___0___bn_running_mean]
2025-03-21T20:22:17.1215544Z     %b_getattr_getattr_l__self___features___7___branch1___0___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___7___branch1___0___bn_running_var]
2025-03-21T20:22:17.1217520Z     %b_getattr_getattr_l__self___features___7___branch1___1___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___7___branch1___1___bn_running_mean]
2025-03-21T20:22:17.1219441Z     %b_getattr_getattr_l__self___features___7___branch1___1___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___7___branch1___1___bn_running_var]
2025-03-21T20:22:17.1221304Z     %b_getattr_getattr_l__self___features___7___branch2___0___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___7___branch2___0___bn_running_mean]
2025-03-21T20:22:17.1223132Z     %b_getattr_getattr_l__self___features___7___branch2___0___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___7___branch2___0___bn_running_var]
2025-03-21T20:22:17.1224961Z     %b_getattr_getattr_l__self___features___7___branch2___1___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___7___branch2___1___bn_running_mean]
2025-03-21T20:22:17.1226795Z     %b_getattr_getattr_l__self___features___7___branch2___1___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___7___branch2___1___bn_running_var]
2025-03-21T20:22:17.1228621Z     %b_getattr_getattr_l__self___features___7___branch2___2___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___7___branch2___2___bn_running_mean]
2025-03-21T20:22:17.1230608Z     %b_getattr_getattr_l__self___features___7___branch2___2___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___7___branch2___2___bn_running_var]
2025-03-21T20:22:17.1232444Z     %b_getattr_getattr_l__self___features___7___branch3___1___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___7___branch3___1___bn_running_mean]
2025-03-21T20:22:17.1234267Z     %b_getattr_getattr_l__self___features___7___branch3___1___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___7___branch3___1___bn_running_var]
2025-03-21T20:22:17.1235981Z     %b_getattr_l__self___features___8___branch0_bn_running_mean : [num_users=1] = placeholder[target=b_getattr_l__self___features___8___branch0_bn_running_mean]
2025-03-21T20:22:17.1237512Z     %b_getattr_l__self___features___8___branch0_bn_running_var : [num_users=1] = placeholder[target=b_getattr_l__self___features___8___branch0_bn_running_var]
2025-03-21T20:22:17.1239593Z     %b_getattr_getattr_l__self___features___8___branch1___0___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___8___branch1___0___bn_running_mean]
2025-03-21T20:22:17.1241696Z     %b_getattr_getattr_l__self___features___8___branch1___0___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___8___branch1___0___bn_running_var]
2025-03-21T20:22:17.1243461Z     %b_getattr_getattr_l__self___features___8___branch1___1___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___8___branch1___1___bn_running_mean]
2025-03-21T20:22:17.1245224Z     %b_getattr_getattr_l__self___features___8___branch1___1___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___8___branch1___1___bn_running_var]
2025-03-21T20:22:17.1247114Z     %b_getattr_getattr_l__self___features___8___branch2___0___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___8___branch2___0___bn_running_mean]
2025-03-21T20:22:17.1248888Z     %b_getattr_getattr_l__self___features___8___branch2___0___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___8___branch2___0___bn_running_var]
2025-03-21T20:22:17.1250655Z     %b_getattr_getattr_l__self___features___8___branch2___1___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___8___branch2___1___bn_running_mean]
2025-03-21T20:22:17.1252422Z     %b_getattr_getattr_l__self___features___8___branch2___1___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___8___branch2___1___bn_running_var]
2025-03-21T20:22:17.1254335Z     %b_getattr_getattr_l__self___features___8___branch2___2___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___8___branch2___2___bn_running_mean]
2025-03-21T20:22:17.1256111Z     %b_getattr_getattr_l__self___features___8___branch2___2___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___8___branch2___2___bn_running_var]
2025-03-21T20:22:17.1258023Z     %b_getattr_getattr_l__self___features___8___branch3___1___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___8___branch3___1___bn_running_mean]
2025-03-21T20:22:17.1259844Z     %b_getattr_getattr_l__self___features___8___branch3___1___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___8___branch3___1___bn_running_var]
2025-03-21T20:22:17.1261534Z     %b_getattr_l__self___features___9___branch0_bn_running_mean : [num_users=1] = placeholder[target=b_getattr_l__self___features___9___branch0_bn_running_mean]
2025-03-21T20:22:17.1263052Z     %b_getattr_l__self___features___9___branch0_bn_running_var : [num_users=1] = placeholder[target=b_getattr_l__self___features___9___branch0_bn_running_var]
2025-03-21T20:22:17.1264702Z     %b_getattr_getattr_l__self___features___9___branch1___0___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___9___branch1___0___bn_running_mean]
2025-03-21T20:22:17.1266562Z     %b_getattr_getattr_l__self___features___9___branch1___0___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___9___branch1___0___bn_running_var]
2025-03-21T20:22:17.1268331Z     %b_getattr_getattr_l__self___features___9___branch1___1___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___9___branch1___1___bn_running_mean]
2025-03-21T20:22:17.1270218Z     %b_getattr_getattr_l__self___features___9___branch1___1___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___9___branch1___1___bn_running_var]
2025-03-21T20:22:17.1272005Z     %b_getattr_getattr_l__self___features___9___branch2___0___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___9___branch2___0___bn_running_mean]
2025-03-21T20:22:17.1274382Z     %b_getattr_getattr_l__self___features___9___branch2___0___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___9___branch2___0___bn_running_var]
2025-03-21T20:22:17.1276175Z     %b_getattr_getattr_l__self___features___9___branch2___1___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___9___branch2___1___bn_running_mean]
2025-03-21T20:22:17.1278081Z     %b_getattr_getattr_l__self___features___9___branch2___1___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___9___branch2___1___bn_running_var]
2025-03-21T20:22:17.1279847Z     %b_getattr_getattr_l__self___features___9___branch2___2___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___9___branch2___2___bn_running_mean]
2025-03-21T20:22:17.1281810Z     %b_getattr_getattr_l__self___features___9___branch2___2___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___9___branch2___2___bn_running_var]
2025-03-21T20:22:17.1283663Z     %b_getattr_getattr_l__self___features___9___branch3___1___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___9___branch3___1___bn_running_mean]
2025-03-21T20:22:17.1285516Z     %b_getattr_getattr_l__self___features___9___branch3___1___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___9___branch3___1___bn_running_var]
2025-03-21T20:22:17.1287477Z     %b_getattr_l__self___features___10___branch0_bn_running_mean : [num_users=1] = placeholder[target=b_getattr_l__self___features___10___branch0_bn_running_mean]
2025-03-21T20:22:17.1289080Z     %b_getattr_l__self___features___10___branch0_bn_running_var : [num_users=1] = placeholder[target=b_getattr_l__self___features___10___branch0_bn_running_var]
2025-03-21T20:22:17.1290760Z     %b_getattr_getattr_l__self___features___10___branch1___0___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___10___branch1___0___bn_running_mean]
2025-03-21T20:22:17.1292560Z     %b_getattr_getattr_l__self___features___10___branch1___0___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___10___branch1___0___bn_running_var]
2025-03-21T20:22:17.1294348Z     %b_getattr_getattr_l__self___features___10___branch1___1___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___10___branch1___1___bn_running_mean]
2025-03-21T20:22:17.1296210Z     %b_getattr_getattr_l__self___features___10___branch1___1___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___10___branch1___1___bn_running_var]
2025-03-21T20:22:17.1298118Z     %b_getattr_getattr_l__self___features___10___branch1___2___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___10___branch1___2___bn_running_mean]
2025-03-21T20:22:17.1300052Z     %b_getattr_getattr_l__self___features___10___branch1___2___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___10___branch1___2___bn_running_var]
2025-03-21T20:22:17.1301836Z     %b_getattr_l__self___features___11___branch0_bn_running_mean : [num_users=1] = placeholder[target=b_getattr_l__self___features___11___branch0_bn_running_mean]
2025-03-21T20:22:17.1303472Z     %b_getattr_l__self___features___11___branch0_bn_running_var : [num_users=1] = placeholder[target=b_getattr_l__self___features___11___branch0_bn_running_var]
2025-03-21T20:22:17.1305197Z     %b_getattr_getattr_l__self___features___11___branch1___0___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___11___branch1___0___bn_running_mean]
2025-03-21T20:22:17.1306994Z     %b_getattr_getattr_l__self___features___11___branch1___0___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___11___branch1___0___bn_running_var]
2025-03-21T20:22:17.1308977Z     %b_getattr_getattr_l__self___features___11___branch1___1___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___11___branch1___1___bn_running_mean]
2025-03-21T20:22:17.1310921Z     %b_getattr_getattr_l__self___features___11___branch1___1___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___11___branch1___1___bn_running_var]
2025-03-21T20:22:17.1312737Z     %b_getattr_getattr_l__self___features___11___branch1___2___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___11___branch1___2___bn_running_mean]
2025-03-21T20:22:17.1314528Z     %b_getattr_getattr_l__self___features___11___branch1___2___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___11___branch1___2___bn_running_var]
2025-03-21T20:22:17.1316411Z     %b_getattr_getattr_l__self___features___11___branch2___0___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___11___branch2___0___bn_running_mean]
2025-03-21T20:22:17.1318214Z     %b_getattr_getattr_l__self___features___11___branch2___0___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___11___branch2___0___bn_running_var]
2025-03-21T20:22:17.1319995Z     %b_getattr_getattr_l__self___features___11___branch2___1___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___11___branch2___1___bn_running_mean]
2025-03-21T20:22:17.1321847Z     %b_getattr_getattr_l__self___features___11___branch2___1___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___11___branch2___1___bn_running_var]
2025-03-21T20:22:17.1323691Z     %b_getattr_getattr_l__self___features___11___branch2___2___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___11___branch2___2___bn_running_mean]
2025-03-21T20:22:17.1325553Z     %b_getattr_getattr_l__self___features___11___branch2___2___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___11___branch2___2___bn_running_var]
2025-03-21T20:22:17.1327433Z     %b_getattr_getattr_l__self___features___11___branch2___3___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___11___branch2___3___bn_running_mean]
2025-03-21T20:22:17.1329221Z     %b_getattr_getattr_l__self___features___11___branch2___3___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___11___branch2___3___bn_running_var]
2025-03-21T20:22:17.1331008Z     %b_getattr_getattr_l__self___features___11___branch2___4___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___11___branch2___4___bn_running_mean]
2025-03-21T20:22:17.1332799Z     %b_getattr_getattr_l__self___features___11___branch2___4___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___11___branch2___4___bn_running_var]
2025-03-21T20:22:17.1334597Z     %b_getattr_getattr_l__self___features___11___branch3___1___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___11___branch3___1___bn_running_mean]
2025-03-21T20:22:17.1336388Z     %b_getattr_getattr_l__self___features___11___branch3___1___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___11___branch3___1___bn_running_var]
2025-03-21T20:22:17.1338051Z     %b_getattr_l__self___features___12___branch0_bn_running_mean : [num_users=1] = placeholder[target=b_getattr_l__self___features___12___branch0_bn_running_mean]
2025-03-21T20:22:17.1339649Z     %b_getattr_l__self___features___12___branch0_bn_running_var : [num_users=1] = placeholder[target=b_getattr_l__self___features___12___branch0_bn_running_var]
2025-03-21T20:22:17.1341559Z     %b_getattr_getattr_l__self___features___12___branch1___0___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___12___branch1___0___bn_running_mean]
2025-03-21T20:22:17.1343936Z     %b_getattr_getattr_l__self___features___12___branch1___0___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___12___branch1___0___bn_running_var]
2025-03-21T20:22:17.1345756Z     %b_getattr_getattr_l__self___features___12___branch1___1___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___12___branch1___1___bn_running_mean]
2025-03-21T20:22:17.1347626Z     %b_getattr_getattr_l__self___features___12___branch1___1___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___12___branch1___1___bn_running_var]
2025-03-21T20:22:17.1349418Z     %b_getattr_getattr_l__self___features___12___branch1___2___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___12___branch1___2___bn_running_mean]
2025-03-21T20:22:17.1351201Z     %b_getattr_getattr_l__self___features___12___branch1___2___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___12___branch1___2___bn_running_var]
2025-03-21T20:22:17.1353004Z     %b_getattr_getattr_l__self___features___12___branch2___0___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___12___branch2___0___bn_running_mean]
2025-03-21T20:22:17.1354858Z     %b_getattr_getattr_l__self___features___12___branch2___0___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___12___branch2___0___bn_running_var]
2025-03-21T20:22:17.1356727Z     %b_getattr_getattr_l__self___features___12___branch2___1___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___12___branch2___1___bn_running_mean]
2025-03-21T20:22:17.1358508Z     %b_getattr_getattr_l__self___features___12___branch2___1___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___12___branch2___1___bn_running_var]
2025-03-21T20:22:17.1360296Z     %b_getattr_getattr_l__self___features___12___branch2___2___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___12___branch2___2___bn_running_mean]
2025-03-21T20:22:17.1362147Z     %b_getattr_getattr_l__self___features___12___branch2___2___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___12___branch2___2___bn_running_var]
2025-03-21T20:22:17.1363937Z     %b_getattr_getattr_l__self___features___12___branch2___3___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___12___branch2___3___bn_running_mean]
2025-03-21T20:22:17.1365724Z     %b_getattr_getattr_l__self___features___12___branch2___3___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___12___branch2___3___bn_running_var]
2025-03-21T20:22:17.1367577Z     %b_getattr_getattr_l__self___features___12___branch2___4___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___12___branch2___4___bn_running_mean]
2025-03-21T20:22:17.1369375Z     %b_getattr_getattr_l__self___features___12___branch2___4___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___12___branch2___4___bn_running_var]
2025-03-21T20:22:17.1371173Z     %b_getattr_getattr_l__self___features___12___branch3___1___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___12___branch3___1___bn_running_mean]
2025-03-21T20:22:17.1372968Z     %b_getattr_getattr_l__self___features___12___branch3___1___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___12___branch3___1___bn_running_var]
2025-03-21T20:22:17.1374633Z     %b_getattr_l__self___features___13___branch0_bn_running_mean : [num_users=1] = placeholder[target=b_getattr_l__self___features___13___branch0_bn_running_mean]
2025-03-21T20:22:17.1376175Z     %b_getattr_l__self___features___13___branch0_bn_running_var : [num_users=1] = placeholder[target=b_getattr_l__self___features___13___branch0_bn_running_var]
2025-03-21T20:22:17.1378167Z     %b_getattr_getattr_l__self___features___13___branch1___0___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___13___branch1___0___bn_running_mean]
2025-03-21T20:22:17.1379986Z     %b_getattr_getattr_l__self___features___13___branch1___0___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___13___branch1___0___bn_running_var]
2025-03-21T20:22:17.1381782Z     %b_getattr_getattr_l__self___features___13___branch1___1___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___13___branch1___1___bn_running_mean]
2025-03-21T20:22:17.1383564Z     %b_getattr_getattr_l__self___features___13___branch1___1___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___13___branch1___1___bn_running_var]
2025-03-21T20:22:17.1385368Z     %b_getattr_getattr_l__self___features___13___branch1___2___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___13___branch1___2___bn_running_mean]
2025-03-21T20:22:17.1387274Z     %b_getattr_getattr_l__self___features___13___branch1___2___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___13___branch1___2___bn_running_var]
2025-03-21T20:22:17.1389134Z     %b_getattr_getattr_l__self___features___13___branch2___0___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___13___branch2___0___bn_running_mean]
2025-03-21T20:22:17.1391051Z     %b_getattr_getattr_l__self___features___13___branch2___0___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___13___branch2___0___bn_running_var]
2025-03-21T20:22:17.1392850Z     %b_getattr_getattr_l__self___features___13___branch2___1___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___13___branch2___1___bn_running_mean]
2025-03-21T20:22:17.1394649Z     %b_getattr_getattr_l__self___features___13___branch2___1___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___13___branch2___1___bn_running_var]
2025-03-21T20:22:17.1396448Z     %b_getattr_getattr_l__self___features___13___branch2___2___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___13___branch2___2___bn_running_mean]
2025-03-21T20:22:17.1398238Z     %b_getattr_getattr_l__self___features___13___branch2___2___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___13___branch2___2___bn_running_var]
2025-03-21T20:22:17.1400021Z     %b_getattr_getattr_l__self___features___13___branch2___3___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___13___branch2___3___bn_running_mean]
2025-03-21T20:22:17.1401888Z     %b_getattr_getattr_l__self___features___13___branch2___3___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___13___branch2___3___bn_running_var]
2025-03-21T20:22:17.1403701Z     %b_getattr_getattr_l__self___features___13___branch2___4___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___13___branch2___4___bn_running_mean]
2025-03-21T20:22:17.1405500Z     %b_getattr_getattr_l__self___features___13___branch2___4___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___13___branch2___4___bn_running_var]
2025-03-21T20:22:17.1407350Z     %b_getattr_getattr_l__self___features___13___branch3___1___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___13___branch3___1___bn_running_mean]
2025-03-21T20:22:17.1409129Z     %b_getattr_getattr_l__self___features___13___branch3___1___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___13___branch3___1___bn_running_var]
2025-03-21T20:22:17.1410783Z     %b_getattr_l__self___features___14___branch0_bn_running_mean : [num_users=1] = placeholder[target=b_getattr_l__self___features___14___branch0_bn_running_mean]
2025-03-21T20:22:17.1412603Z     %b_getattr_l__self___features___14___branch0_bn_running_var : [num_users=1] = placeholder[target=b_getattr_l__self___features___14___branch0_bn_running_var]
2025-03-21T20:22:17.1414299Z     %b_getattr_getattr_l__self___features___14___branch1___0___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___14___branch1___0___bn_running_mean]
2025-03-21T20:22:17.1416082Z     %b_getattr_getattr_l__self___features___14___branch1___0___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___14___branch1___0___bn_running_var]
2025-03-21T20:22:17.1417868Z     %b_getattr_getattr_l__self___features___14___branch1___1___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___14___branch1___1___bn_running_mean]
2025-03-21T20:22:17.1419654Z     %b_getattr_getattr_l__self___features___14___branch1___1___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___14___branch1___1___bn_running_var]
2025-03-21T20:22:17.1421456Z     %b_getattr_getattr_l__self___features___14___branch1___2___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___14___branch1___2___bn_running_mean]
2025-03-21T20:22:17.1423250Z     %b_getattr_getattr_l__self___features___14___branch1___2___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___14___branch1___2___bn_running_var]
2025-03-21T20:22:17.1425039Z     %b_getattr_getattr_l__self___features___14___branch2___0___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___14___branch2___0___bn_running_mean]
2025-03-21T20:22:17.1426824Z     %b_getattr_getattr_l__self___features___14___branch2___0___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___14___branch2___0___bn_running_var]
2025-03-21T20:22:17.1428616Z     %b_getattr_getattr_l__self___features___14___branch2___1___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___14___branch2___1___bn_running_mean]
2025-03-21T20:22:17.1430407Z     %b_getattr_getattr_l__self___features___14___branch2___1___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___14___branch2___1___bn_running_var]
2025-03-21T20:22:17.1432198Z     %b_getattr_getattr_l__self___features___14___branch2___2___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___14___branch2___2___bn_running_mean]
2025-03-21T20:22:17.1433989Z     %b_getattr_getattr_l__self___features___14___branch2___2___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___14___branch2___2___bn_running_var]
2025-03-21T20:22:17.1435780Z     %b_getattr_getattr_l__self___features___14___branch2___3___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___14___branch2___3___bn_running_mean]
2025-03-21T20:22:17.1437583Z     %b_getattr_getattr_l__self___features___14___branch2___3___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___14___branch2___3___bn_running_var]
2025-03-21T20:22:17.1439368Z     %b_getattr_getattr_l__self___features___14___branch2___4___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___14___branch2___4___bn_running_mean]
2025-03-21T20:22:17.1441351Z     %b_getattr_getattr_l__self___features___14___branch2___4___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___14___branch2___4___bn_running_var]
2025-03-21T20:22:17.1443139Z     %b_getattr_getattr_l__self___features___14___branch3___1___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___14___branch3___1___bn_running_mean]
2025-03-21T20:22:17.1445003Z     %b_getattr_getattr_l__self___features___14___branch3___1___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___14___branch3___1___bn_running_var]
2025-03-21T20:22:17.1447185Z     %b_getattr_l__self___features___15___branch0_bn_running_mean : [num_users=1] = placeholder[target=b_getattr_l__self___features___15___branch0_bn_running_mean]
2025-03-21T20:22:17.1448766Z     %b_getattr_l__self___features___15___branch0_bn_running_var : [num_users=1] = placeholder[target=b_getattr_l__self___features___15___branch0_bn_running_var]
2025-03-21T20:22:17.1450429Z     %b_getattr_getattr_l__self___features___15___branch1___0___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___15___branch1___0___bn_running_mean]
2025-03-21T20:22:17.1452217Z     %b_getattr_getattr_l__self___features___15___branch1___0___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___15___branch1___0___bn_running_var]
2025-03-21T20:22:17.1454003Z     %b_getattr_getattr_l__self___features___15___branch1___1___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___15___branch1___1___bn_running_mean]
2025-03-21T20:22:17.1455805Z     %b_getattr_getattr_l__self___features___15___branch1___1___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___15___branch1___1___bn_running_var]
2025-03-21T20:22:17.1457586Z     %b_getattr_getattr_l__self___features___15___branch1___2___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___15___branch1___2___bn_running_mean]
2025-03-21T20:22:17.1459362Z     %b_getattr_getattr_l__self___features___15___branch1___2___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___15___branch1___2___bn_running_var]
2025-03-21T20:22:17.1461149Z     %b_getattr_getattr_l__self___features___15___branch2___0___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___15___branch2___0___bn_running_mean]
2025-03-21T20:22:17.1462938Z     %b_getattr_getattr_l__self___features___15___branch2___0___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___15___branch2___0___bn_running_var]
2025-03-21T20:22:17.1464729Z     %b_getattr_getattr_l__self___features___15___branch2___1___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___15___branch2___1___bn_running_mean]
2025-03-21T20:22:17.1466509Z     %b_getattr_getattr_l__self___features___15___branch2___1___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___15___branch2___1___bn_running_var]
2025-03-21T20:22:17.1468290Z     %b_getattr_getattr_l__self___features___15___branch2___2___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___15___branch2___2___bn_running_mean]
2025-03-21T20:22:17.1470078Z     %b_getattr_getattr_l__self___features___15___branch2___2___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___15___branch2___2___bn_running_var]
2025-03-21T20:22:17.1471871Z     %b_getattr_getattr_l__self___features___15___branch2___3___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___15___branch2___3___bn_running_mean]
2025-03-21T20:22:17.1473656Z     %b_getattr_getattr_l__self___features___15___branch2___3___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___15___branch2___3___bn_running_var]
2025-03-21T20:22:17.1475442Z     %b_getattr_getattr_l__self___features___15___branch2___4___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___15___branch2___4___bn_running_mean]
2025-03-21T20:22:17.1477225Z     %b_getattr_getattr_l__self___features___15___branch2___4___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___15___branch2___4___bn_running_var]
2025-03-21T20:22:17.1478999Z     %b_getattr_getattr_l__self___features___15___branch3___1___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___15___branch3___1___bn_running_mean]
2025-03-21T20:22:17.1481045Z     %b_getattr_getattr_l__self___features___15___branch3___1___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___15___branch3___1___bn_running_var]
2025-03-21T20:22:17.1482730Z     %b_getattr_l__self___features___16___branch0_bn_running_mean : [num_users=1] = placeholder[target=b_getattr_l__self___features___16___branch0_bn_running_mean]
2025-03-21T20:22:17.1484265Z     %b_getattr_l__self___features___16___branch0_bn_running_var : [num_users=1] = placeholder[target=b_getattr_l__self___features___16___branch0_bn_running_var]
2025-03-21T20:22:17.1486038Z     %b_getattr_getattr_l__self___features___16___branch1___0___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___16___branch1___0___bn_running_mean]
2025-03-21T20:22:17.1487832Z     %b_getattr_getattr_l__self___features___16___branch1___0___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___16___branch1___0___bn_running_var]
2025-03-21T20:22:17.1489637Z     %b_getattr_getattr_l__self___features___16___branch1___1___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___16___branch1___1___bn_running_mean]
2025-03-21T20:22:17.1491427Z     %b_getattr_getattr_l__self___features___16___branch1___1___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___16___branch1___1___bn_running_var]
2025-03-21T20:22:17.1493215Z     %b_getattr_getattr_l__self___features___16___branch1___2___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___16___branch1___2___bn_running_mean]
2025-03-21T20:22:17.1495007Z     %b_getattr_getattr_l__self___features___16___branch1___2___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___16___branch1___2___bn_running_var]
2025-03-21T20:22:17.1496806Z     %b_getattr_getattr_l__self___features___16___branch2___0___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___16___branch2___0___bn_running_mean]
2025-03-21T20:22:17.1498593Z     %b_getattr_getattr_l__self___features___16___branch2___0___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___16___branch2___0___bn_running_var]
2025-03-21T20:22:17.1500382Z     %b_getattr_getattr_l__self___features___16___branch2___1___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___16___branch2___1___bn_running_mean]
2025-03-21T20:22:17.1502174Z     %b_getattr_getattr_l__self___features___16___branch2___1___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___16___branch2___1___bn_running_var]
2025-03-21T20:22:17.1503967Z     %b_getattr_getattr_l__self___features___16___branch2___2___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___16___branch2___2___bn_running_mean]
2025-03-21T20:22:17.1505769Z     %b_getattr_getattr_l__self___features___16___branch2___2___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___16___branch2___2___bn_running_var]
2025-03-21T20:22:17.1507563Z     %b_getattr_getattr_l__self___features___16___branch2___3___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___16___branch2___3___bn_running_mean]
2025-03-21T20:22:17.1509353Z     %b_getattr_getattr_l__self___features___16___branch2___3___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___16___branch2___3___bn_running_var]
2025-03-21T20:22:17.1511142Z     %b_getattr_getattr_l__self___features___16___branch2___4___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___16___branch2___4___bn_running_mean]
2025-03-21T20:22:17.1512930Z     %b_getattr_getattr_l__self___features___16___branch2___4___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___16___branch2___4___bn_running_var]
2025-03-21T20:22:17.1514933Z     %b_getattr_getattr_l__self___features___16___branch3___1___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___16___branch3___1___bn_running_mean]
2025-03-21T20:22:17.1516754Z     %b_getattr_getattr_l__self___features___16___branch3___1___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___16___branch3___1___bn_running_var]
2025-03-21T20:22:17.1518410Z     %b_getattr_l__self___features___17___branch0_bn_running_mean : [num_users=1] = placeholder[target=b_getattr_l__self___features___17___branch0_bn_running_mean]
2025-03-21T20:22:17.1519949Z     %b_getattr_l__self___features___17___branch0_bn_running_var : [num_users=1] = placeholder[target=b_getattr_l__self___features___17___branch0_bn_running_var]
2025-03-21T20:22:17.1521615Z     %b_getattr_getattr_l__self___features___17___branch1___0___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___17___branch1___0___bn_running_mean]
2025-03-21T20:22:17.1523423Z     %b_getattr_getattr_l__self___features___17___branch1___0___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___17___branch1___0___bn_running_var]
2025-03-21T20:22:17.1525217Z     %b_getattr_getattr_l__self___features___17___branch1___1___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___17___branch1___1___bn_running_mean]
2025-03-21T20:22:17.1527100Z     %b_getattr_getattr_l__self___features___17___branch1___1___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___17___branch1___1___bn_running_var]
2025-03-21T20:22:17.1528888Z     %b_getattr_getattr_l__self___features___17___branch1___2___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___17___branch1___2___bn_running_mean]
2025-03-21T20:22:17.1530684Z     %b_getattr_getattr_l__self___features___17___branch1___2___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___17___branch1___2___bn_running_var]
2025-03-21T20:22:17.1532477Z     %b_getattr_getattr_l__self___features___17___branch2___0___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___17___branch2___0___bn_running_mean]
2025-03-21T20:22:17.1534275Z     %b_getattr_getattr_l__self___features___17___branch2___0___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___17___branch2___0___bn_running_var]
2025-03-21T20:22:17.1536074Z     %b_getattr_getattr_l__self___features___17___branch2___1___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___17___branch2___1___bn_running_mean]
2025-03-21T20:22:17.1537863Z     %b_getattr_getattr_l__self___features___17___branch2___1___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___17___branch2___1___bn_running_var]
2025-03-21T20:22:17.1539665Z     %b_getattr_getattr_l__self___features___17___branch2___2___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___17___branch2___2___bn_running_mean]
2025-03-21T20:22:17.1541727Z     %b_getattr_getattr_l__self___features___17___branch2___2___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___17___branch2___2___bn_running_var]
2025-03-21T20:22:17.1543524Z     %b_getattr_getattr_l__self___features___17___branch2___3___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___17___branch2___3___bn_running_mean]
2025-03-21T20:22:17.1545314Z     %b_getattr_getattr_l__self___features___17___branch2___3___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___17___branch2___3___bn_running_var]
2025-03-21T20:22:17.1547103Z     %b_getattr_getattr_l__self___features___17___branch2___4___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___17___branch2___4___bn_running_mean]
2025-03-21T20:22:17.1549362Z     %b_getattr_getattr_l__self___features___17___branch2___4___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___17___branch2___4___bn_running_var]
2025-03-21T20:22:17.1551168Z     %b_getattr_getattr_l__self___features___17___branch3___1___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___17___branch3___1___bn_running_mean]
2025-03-21T20:22:17.1552950Z     %b_getattr_getattr_l__self___features___17___branch3___1___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___17___branch3___1___bn_running_var]
2025-03-21T20:22:17.1554742Z     %b_getattr_getattr_l__self___features___18___branch0___0___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___18___branch0___0___bn_running_mean]
2025-03-21T20:22:17.1556534Z     %b_getattr_getattr_l__self___features___18___branch0___0___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___18___branch0___0___bn_running_var]
2025-03-21T20:22:17.1558324Z     %b_getattr_getattr_l__self___features___18___branch0___1___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___18___branch0___1___bn_running_mean]
2025-03-21T20:22:17.1560111Z     %b_getattr_getattr_l__self___features___18___branch0___1___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___18___branch0___1___bn_running_var]
2025-03-21T20:22:17.1561900Z     %b_getattr_getattr_l__self___features___18___branch1___0___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___18___branch1___0___bn_running_mean]
2025-03-21T20:22:17.1563684Z     %b_getattr_getattr_l__self___features___18___branch1___0___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___18___branch1___0___bn_running_var]
2025-03-21T20:22:17.1565488Z     %b_getattr_getattr_l__self___features___18___branch1___1___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___18___branch1___1___bn_running_mean]
2025-03-21T20:22:17.1567371Z     %b_getattr_getattr_l__self___features___18___branch1___1___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___18___branch1___1___bn_running_var]
2025-03-21T20:22:17.1569157Z     %b_getattr_getattr_l__self___features___18___branch1___2___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___18___branch1___2___bn_running_mean]
2025-03-21T20:22:17.1570942Z     %b_getattr_getattr_l__self___features___18___branch1___2___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___18___branch1___2___bn_running_var]
2025-03-21T20:22:17.1572735Z     %b_getattr_getattr_l__self___features___18___branch1___3___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___18___branch1___3___bn_running_mean]
2025-03-21T20:22:17.1574537Z     %b_getattr_getattr_l__self___features___18___branch1___3___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___18___branch1___3___bn_running_var]
2025-03-21T20:22:17.1576202Z     %b_getattr_l__self___features___19___branch0_bn_running_mean : [num_users=1] = placeholder[target=b_getattr_l__self___features___19___branch0_bn_running_mean]
2025-03-21T20:22:17.1577734Z     %b_getattr_l__self___features___19___branch0_bn_running_var : [num_users=1] = placeholder[target=b_getattr_l__self___features___19___branch0_bn_running_var]
2025-03-21T20:22:17.1579286Z     %b_getattr_l__self___features___19___branch1_0_bn_running_mean : [num_users=1] = placeholder[target=b_getattr_l__self___features___19___branch1_0_bn_running_mean]
2025-03-21T20:22:17.1580855Z     %b_getattr_l__self___features___19___branch1_0_bn_running_var : [num_users=1] = placeholder[target=b_getattr_l__self___features___19___branch1_0_bn_running_var]
2025-03-21T20:22:17.1582708Z     %b_getattr_l__self___features___19___branch1_1a_bn_running_mean : [num_users=1] = placeholder[target=b_getattr_l__self___features___19___branch1_1a_bn_running_mean]
2025-03-21T20:22:17.1584303Z     %b_getattr_l__self___features___19___branch1_1a_bn_running_var : [num_users=1] = placeholder[target=b_getattr_l__self___features___19___branch1_1a_bn_running_var]
2025-03-21T20:22:17.1585879Z     %b_getattr_l__self___features___19___branch1_1b_bn_running_mean : [num_users=1] = placeholder[target=b_getattr_l__self___features___19___branch1_1b_bn_running_mean]
2025-03-21T20:22:17.1587453Z     %b_getattr_l__self___features___19___branch1_1b_bn_running_var : [num_users=1] = placeholder[target=b_getattr_l__self___features___19___branch1_1b_bn_running_var]
2025-03-21T20:22:17.1589018Z     %b_getattr_l__self___features___19___branch2_0_bn_running_mean : [num_users=1] = placeholder[target=b_getattr_l__self___features___19___branch2_0_bn_running_mean]
2025-03-21T20:22:17.1590597Z     %b_getattr_l__self___features___19___branch2_0_bn_running_var : [num_users=1] = placeholder[target=b_getattr_l__self___features___19___branch2_0_bn_running_var]
2025-03-21T20:22:17.1592158Z     %b_getattr_l__self___features___19___branch2_1_bn_running_mean : [num_users=1] = placeholder[target=b_getattr_l__self___features___19___branch2_1_bn_running_mean]
2025-03-21T20:22:17.1593728Z     %b_getattr_l__self___features___19___branch2_1_bn_running_var : [num_users=1] = placeholder[target=b_getattr_l__self___features___19___branch2_1_bn_running_var]
2025-03-21T20:22:17.1595295Z     %b_getattr_l__self___features___19___branch2_2_bn_running_mean : [num_users=1] = placeholder[target=b_getattr_l__self___features___19___branch2_2_bn_running_mean]
2025-03-21T20:22:17.1596868Z     %b_getattr_l__self___features___19___branch2_2_bn_running_var : [num_users=1] = placeholder[target=b_getattr_l__self___features___19___branch2_2_bn_running_var]
2025-03-21T20:22:17.1598553Z     %b_getattr_l__self___features___19___branch2_3a_bn_running_mean : [num_users=1] = placeholder[target=b_getattr_l__self___features___19___branch2_3a_bn_running_mean]
2025-03-21T20:22:17.1600129Z     %b_getattr_l__self___features___19___branch2_3a_bn_running_var : [num_users=1] = placeholder[target=b_getattr_l__self___features___19___branch2_3a_bn_running_var]
2025-03-21T20:22:17.1601704Z     %b_getattr_l__self___features___19___branch2_3b_bn_running_mean : [num_users=1] = placeholder[target=b_getattr_l__self___features___19___branch2_3b_bn_running_mean]
2025-03-21T20:22:17.1603273Z     %b_getattr_l__self___features___19___branch2_3b_bn_running_var : [num_users=1] = placeholder[target=b_getattr_l__self___features___19___branch2_3b_bn_running_var]
2025-03-21T20:22:17.1604942Z     %b_getattr_getattr_l__self___features___19___branch3___1___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___19___branch3___1___bn_running_mean]
2025-03-21T20:22:17.1606803Z     %b_getattr_getattr_l__self___features___19___branch3___1___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___19___branch3___1___bn_running_var]
2025-03-21T20:22:17.1608464Z     %b_getattr_l__self___features___20___branch0_bn_running_mean : [num_users=1] = placeholder[target=b_getattr_l__self___features___20___branch0_bn_running_mean]
2025-03-21T20:22:17.1609994Z     %b_getattr_l__self___features___20___branch0_bn_running_var : [num_users=1] = placeholder[target=b_getattr_l__self___features___20___branch0_bn_running_var]
2025-03-21T20:22:17.1611537Z     %b_getattr_l__self___features___20___branch1_0_bn_running_mean : [num_users=1] = placeholder[target=b_getattr_l__self___features___20___branch1_0_bn_running_mean]
2025-03-21T20:22:17.1613099Z     %b_getattr_l__self___features___20___branch1_0_bn_running_var : [num_users=1] = placeholder[target=b_getattr_l__self___features___20___branch1_0_bn_running_var]
2025-03-21T20:22:17.1614819Z     %b_getattr_l__self___features___20___branch1_1a_bn_running_mean : [num_users=1] = placeholder[target=b_getattr_l__self___features___20___branch1_1a_bn_running_mean]
2025-03-21T20:22:17.1616494Z     %b_getattr_l__self___features___20___branch1_1a_bn_running_var : [num_users=1] = placeholder[target=b_getattr_l__self___features___20___branch1_1a_bn_running_var]
2025-03-21T20:22:17.1618100Z     %b_getattr_l__self___features___20___branch1_1b_bn_running_mean : [num_users=1] = placeholder[target=b_getattr_l__self___features___20___branch1_1b_bn_running_mean]
2025-03-21T20:22:17.1619688Z     %b_getattr_l__self___features___20___branch1_1b_bn_running_var : [num_users=1] = placeholder[target=b_getattr_l__self___features___20___branch1_1b_bn_running_var]
2025-03-21T20:22:17.1621269Z     %b_getattr_l__self___features___20___branch2_0_bn_running_mean : [num_users=1] = placeholder[target=b_getattr_l__self___features___20___branch2_0_bn_running_mean]
2025-03-21T20:22:17.1622838Z     %b_getattr_l__self___features___20___branch2_0_bn_running_var : [num_users=1] = placeholder[target=b_getattr_l__self___features___20___branch2_0_bn_running_var]
2025-03-21T20:22:17.1624410Z     %b_getattr_l__self___features___20___branch2_1_bn_running_mean : [num_users=1] = placeholder[target=b_getattr_l__self___features___20___branch2_1_bn_running_mean]
2025-03-21T20:22:17.1625979Z     %b_getattr_l__self___features___20___branch2_1_bn_running_var : [num_users=1] = placeholder[target=b_getattr_l__self___features___20___branch2_1_bn_running_var]
2025-03-21T20:22:17.1627543Z     %b_getattr_l__self___features___20___branch2_2_bn_running_mean : [num_users=1] = placeholder[target=b_getattr_l__self___features___20___branch2_2_bn_running_mean]
2025-03-21T20:22:17.1629107Z     %b_getattr_l__self___features___20___branch2_2_bn_running_var : [num_users=1] = placeholder[target=b_getattr_l__self___features___20___branch2_2_bn_running_var]
2025-03-21T20:22:17.1630675Z     %b_getattr_l__self___features___20___branch2_3a_bn_running_mean : [num_users=1] = placeholder[target=b_getattr_l__self___features___20___branch2_3a_bn_running_mean]
2025-03-21T20:22:17.1632264Z     %b_getattr_l__self___features___20___branch2_3a_bn_running_var : [num_users=1] = placeholder[target=b_getattr_l__self___features___20___branch2_3a_bn_running_var]
2025-03-21T20:22:17.1633841Z     %b_getattr_l__self___features___20___branch2_3b_bn_running_mean : [num_users=1] = placeholder[target=b_getattr_l__self___features___20___branch2_3b_bn_running_mean]
2025-03-21T20:22:17.1635412Z     %b_getattr_l__self___features___20___branch2_3b_bn_running_var : [num_users=1] = placeholder[target=b_getattr_l__self___features___20___branch2_3b_bn_running_var]
2025-03-21T20:22:17.1637094Z     %b_getattr_getattr_l__self___features___20___branch3___1___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___20___branch3___1___bn_running_mean]
2025-03-21T20:22:17.1638970Z     %b_getattr_getattr_l__self___features___20___branch3___1___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___20___branch3___1___bn_running_var]
2025-03-21T20:22:17.1640901Z     %b_getattr_l__self___features___21___branch0_bn_running_mean : [num_users=1] = placeholder[target=b_getattr_l__self___features___21___branch0_bn_running_mean]
2025-03-21T20:22:17.1642458Z     %b_getattr_l__self___features___21___branch0_bn_running_var : [num_users=1] = placeholder[target=b_getattr_l__self___features___21___branch0_bn_running_var]
2025-03-21T20:22:17.1644025Z     %b_getattr_l__self___features___21___branch1_0_bn_running_mean : [num_users=1] = placeholder[target=b_getattr_l__self___features___21___branch1_0_bn_running_mean]
2025-03-21T20:22:17.1645586Z     %b_getattr_l__self___features___21___branch1_0_bn_running_var : [num_users=1] = placeholder[target=b_getattr_l__self___features___21___branch1_0_bn_running_var]
2025-03-21T20:22:17.1647222Z     %b_getattr_l__self___features___21___branch1_1a_bn_running_mean : [num_users=1] = placeholder[target=b_getattr_l__self___features___21___branch1_1a_bn_running_mean]
2025-03-21T20:22:17.1649119Z     %b_getattr_l__self___features___21___branch1_1a_bn_running_var : [num_users=1] = placeholder[target=b_getattr_l__self___features___21___branch1_1a_bn_running_var]
2025-03-21T20:22:17.1650897Z     %b_getattr_l__self___features___21___branch1_1b_bn_running_mean : [num_users=1] = placeholder[target=b_getattr_l__self___features___21___branch1_1b_bn_running_mean]
2025-03-21T20:22:17.1652509Z     %b_getattr_l__self___features___21___branch1_1b_bn_running_var : [num_users=1] = placeholder[target=b_getattr_l__self___features___21___branch1_1b_bn_running_var]
2025-03-21T20:22:17.1654088Z     %b_getattr_l__self___features___21___branch2_0_bn_running_mean : [num_users=1] = placeholder[target=b_getattr_l__self___features___21___branch2_0_bn_running_mean]
2025-03-21T20:22:17.1655649Z     %b_getattr_l__self___features___21___branch2_0_bn_running_var : [num_users=1] = placeholder[target=b_getattr_l__self___features___21___branch2_0_bn_running_var]
2025-03-21T20:22:17.1657223Z     %b_getattr_l__self___features___21___branch2_1_bn_running_mean : [num_users=1] = placeholder[target=b_getattr_l__self___features___21___branch2_1_bn_running_mean]
2025-03-21T20:22:17.1658790Z     %b_getattr_l__self___features___21___branch2_1_bn_running_var : [num_users=1] = placeholder[target=b_getattr_l__self___features___21___branch2_1_bn_running_var]
2025-03-21T20:22:17.1660353Z     %b_getattr_l__self___features___21___branch2_2_bn_running_mean : [num_users=1] = placeholder[target=b_getattr_l__self___features___21___branch2_2_bn_running_mean]
2025-03-21T20:22:17.1661915Z     %b_getattr_l__self___features___21___branch2_2_bn_running_var : [num_users=1] = placeholder[target=b_getattr_l__self___features___21___branch2_2_bn_running_var]
2025-03-21T20:22:17.1663485Z     %b_getattr_l__self___features___21___branch2_3a_bn_running_mean : [num_users=1] = placeholder[target=b_getattr_l__self___features___21___branch2_3a_bn_running_mean]
2025-03-21T20:22:17.1665061Z     %b_getattr_l__self___features___21___branch2_3a_bn_running_var : [num_users=1] = placeholder[target=b_getattr_l__self___features___21___branch2_3a_bn_running_var]
2025-03-21T20:22:17.1666644Z     %b_getattr_l__self___features___21___branch2_3b_bn_running_mean : [num_users=1] = placeholder[target=b_getattr_l__self___features___21___branch2_3b_bn_running_mean]
2025-03-21T20:22:17.1668220Z     %b_getattr_l__self___features___21___branch2_3b_bn_running_var : [num_users=1] = placeholder[target=b_getattr_l__self___features___21___branch2_3b_bn_running_var]
2025-03-21T20:22:17.1669896Z     %b_getattr_getattr_l__self___features___21___branch3___1___bn_running_mean : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___21___branch3___1___bn_running_mean]
2025-03-21T20:22:17.1671683Z     %b_getattr_getattr_l__self___features___21___branch3___1___bn_running_var : [num_users=1] = placeholder[target=b_getattr_getattr_l__self___features___21___branch3___1___bn_running_var]
2025-03-21T20:22:17.1672842Z     %x : [num_users=1] = placeholder[target=x]
2025-03-21T20:22:17.1673910Z     %conv2d : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%x, %p_getattr_l__self___features___0___conv_weight, None, [2, 2]), kwargs = {})
2025-03-21T20:22:17.1676311Z     %batch_norm : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d, %p_getattr_l__self___features___0___bn_weight, %p_getattr_l__self___features___0___bn_bias, %b_getattr_l__self___features___0___bn_running_mean, %b_getattr_l__self___features___0___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.1678452Z     %relu_ : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm,), kwargs = {})
2025-03-21T20:22:17.1679788Z     %conv2d_1 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu_, %p_getattr_l__self___features___1___conv_weight), kwargs = {})
2025-03-21T20:22:17.1682286Z     %batch_norm_1 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_1, %p_getattr_l__self___features___1___bn_weight, %p_getattr_l__self___features___1___bn_bias, %b_getattr_l__self___features___1___bn_running_mean, %b_getattr_l__self___features___1___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.1684553Z     %relu__1 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_1,), kwargs = {})
2025-03-21T20:22:17.1686108Z     %conv2d_2 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__1, %p_getattr_l__self___features___2___conv_weight, None, [1, 1], [1, 1]), kwargs = {})
2025-03-21T20:22:17.1688577Z     %batch_norm_2 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_2, %p_getattr_l__self___features___2___bn_weight, %p_getattr_l__self___features___2___bn_bias, %b_getattr_l__self___features___2___bn_running_mean, %b_getattr_l__self___features___2___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.1690737Z     %relu__2 : [num_users=2] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_2,), kwargs = {})
2025-03-21T20:22:17.1691969Z     %max_pool2d : [num_users=1] = call_function[target=torch.ops.aten.max_pool2d.default](args = (%relu__2, [3, 3], [2, 2]), kwargs = {})
2025-03-21T20:22:17.1693500Z     %conv2d_3 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__2, %p_getattr_l__self___features___3___conv_conv_weight, None, [2, 2]), kwargs = {})
2025-03-21T20:22:17.1696078Z     %batch_norm_3 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_3, %p_getattr_l__self___features___3___conv_bn_weight, %p_getattr_l__self___features___3___conv_bn_bias, %b_getattr_l__self___features___3___conv_bn_running_mean, %b_getattr_l__self___features___3___conv_bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.1698328Z     %relu__3 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_3,), kwargs = {})
2025-03-21T20:22:17.1699513Z     %cat : [num_users=2] = call_function[target=torch.ops.aten.cat.default](args = ([%max_pool2d, %relu__3], 1), kwargs = {})
2025-03-21T20:22:17.1701002Z     %conv2d_4 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%cat, %p_getattr_getattr_l__self___features___4___branch0___0___conv_weight), kwargs = {})
2025-03-21T20:22:17.1703881Z     %batch_norm_4 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_4, %p_getattr_getattr_l__self___features___4___branch0___0___bn_weight, %p_getattr_getattr_l__self___features___4___branch0___0___bn_bias, %b_getattr_getattr_l__self___features___4___branch0___0___bn_running_mean, %b_getattr_getattr_l__self___features___4___branch0___0___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.1706540Z     %relu__4 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_4,), kwargs = {})
2025-03-21T20:22:17.1708012Z     %conv2d_5 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__4, %p_getattr_getattr_l__self___features___4___branch0___1___conv_weight), kwargs = {})
2025-03-21T20:22:17.1710898Z     %batch_norm_5 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_5, %p_getattr_getattr_l__self___features___4___branch0___1___bn_weight, %p_getattr_getattr_l__self___features___4___branch0___1___bn_bias, %b_getattr_getattr_l__self___features___4___branch0___1___bn_running_mean, %b_getattr_getattr_l__self___features___4___branch0___1___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.1713445Z     %relu__5 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_5,), kwargs = {})
2025-03-21T20:22:17.1714889Z     %conv2d_6 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%cat, %p_getattr_getattr_l__self___features___4___branch1___0___conv_weight), kwargs = {})
2025-03-21T20:22:17.1718015Z     %batch_norm_6 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_6, %p_getattr_getattr_l__self___features___4___branch1___0___bn_weight, %p_getattr_getattr_l__self___features___4___branch1___0___bn_bias, %b_getattr_getattr_l__self___features___4___branch1___0___bn_running_mean, %b_getattr_getattr_l__self___features___4___branch1___0___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.1720613Z     %relu__6 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_6,), kwargs = {})
2025-03-21T20:22:17.1722180Z     %conv2d_7 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__6, %p_getattr_getattr_l__self___features___4___branch1___1___conv_weight, None, [1, 1], [0, 3]), kwargs = {})
2025-03-21T20:22:17.1725157Z     %batch_norm_7 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_7, %p_getattr_getattr_l__self___features___4___branch1___1___bn_weight, %p_getattr_getattr_l__self___features___4___branch1___1___bn_bias, %b_getattr_getattr_l__self___features___4___branch1___1___bn_running_mean, %b_getattr_getattr_l__self___features___4___branch1___1___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.1727821Z     %relu__7 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_7,), kwargs = {})
2025-03-21T20:22:17.1729377Z     %conv2d_8 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__7, %p_getattr_getattr_l__self___features___4___branch1___2___conv_weight, None, [1, 1], [3, 0]), kwargs = {})
2025-03-21T20:22:17.1732351Z     %batch_norm_8 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_8, %p_getattr_getattr_l__self___features___4___branch1___2___bn_weight, %p_getattr_getattr_l__self___features___4___branch1___2___bn_bias, %b_getattr_getattr_l__self___features___4___branch1___2___bn_running_mean, %b_getattr_getattr_l__self___features___4___branch1___2___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.1734919Z     %relu__8 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_8,), kwargs = {})
2025-03-21T20:22:17.1736385Z     %conv2d_9 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__8, %p_getattr_getattr_l__self___features___4___branch1___3___conv_weight), kwargs = {})
2025-03-21T20:22:17.1739271Z     %batch_norm_9 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_9, %p_getattr_getattr_l__self___features___4___branch1___3___bn_weight, %p_getattr_getattr_l__self___features___4___branch1___3___bn_bias, %b_getattr_getattr_l__self___features___4___branch1___3___bn_running_mean, %b_getattr_getattr_l__self___features___4___branch1___3___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.1742099Z     %relu__9 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_9,), kwargs = {})
2025-03-21T20:22:17.1743275Z     %cat_1 : [num_users=2] = call_function[target=torch.ops.aten.cat.default](args = ([%relu__5, %relu__9], 1), kwargs = {})
2025-03-21T20:22:17.1744742Z     %conv2d_10 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%cat_1, %p_getattr_l__self___features___5___conv_conv_weight, None, [2, 2]), kwargs = {})
2025-03-21T20:22:17.1747312Z     %batch_norm_10 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_10, %p_getattr_l__self___features___5___conv_bn_weight, %p_getattr_l__self___features___5___conv_bn_bias, %b_getattr_l__self___features___5___conv_bn_running_mean, %b_getattr_l__self___features___5___conv_bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.1749582Z     %relu__10 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_10,), kwargs = {})
2025-03-21T20:22:17.1751139Z     %max_pool2d_1 : [num_users=1] = call_function[target=torch.ops.aten.max_pool2d.default](args = (%cat_1, [3, 3], [2, 2]), kwargs = {})
2025-03-21T20:22:17.1752549Z     %cat_2 : [num_users=4] = call_function[target=torch.ops.aten.cat.default](args = ([%relu__10, %max_pool2d_1], 1), kwargs = {})
2025-03-21T20:22:17.1754020Z     %conv2d_11 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%cat_2, %p_getattr_l__self___features___6___branch0_conv_weight), kwargs = {})
2025-03-21T20:22:17.1756615Z     %batch_norm_11 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_11, %p_getattr_l__self___features___6___branch0_bn_weight, %p_getattr_l__self___features___6___branch0_bn_bias, %b_getattr_l__self___features___6___branch0_bn_running_mean, %b_getattr_l__self___features___6___branch0_bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.1758960Z     %relu__11 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_11,), kwargs = {})
2025-03-21T20:22:17.1760437Z     %conv2d_12 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%cat_2, %p_getattr_getattr_l__self___features___6___branch1___0___conv_weight), kwargs = {})
2025-03-21T20:22:17.1763329Z     %batch_norm_12 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_12, %p_getattr_getattr_l__self___features___6___branch1___0___bn_weight, %p_getattr_getattr_l__self___features___6___branch1___0___bn_bias, %b_getattr_getattr_l__self___features___6___branch1___0___bn_running_mean, %b_getattr_getattr_l__self___features___6___branch1___0___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.1765998Z     %relu__12 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_12,), kwargs = {})
2025-03-21T20:22:17.1767576Z     %conv2d_13 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__12, %p_getattr_getattr_l__self___features___6___branch1___1___conv_weight, None, [1, 1], [1, 1]), kwargs = {})
2025-03-21T20:22:17.1770581Z     %batch_norm_13 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_13, %p_getattr_getattr_l__self___features___6___branch1___1___bn_weight, %p_getattr_getattr_l__self___features___6___branch1___1___bn_bias, %b_getattr_getattr_l__self___features___6___branch1___1___bn_running_mean, %b_getattr_getattr_l__self___features___6___branch1___1___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.1773162Z     %relu__13 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_13,), kwargs = {})
2025-03-21T20:22:17.1774630Z     %conv2d_14 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%cat_2, %p_getattr_getattr_l__self___features___6___branch2___0___conv_weight), kwargs = {})
2025-03-21T20:22:17.1777530Z     %batch_norm_14 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_14, %p_getattr_getattr_l__self___features___6___branch2___0___bn_weight, %p_getattr_getattr_l__self___features___6___branch2___0___bn_bias, %b_getattr_getattr_l__self___features___6___branch2___0___bn_running_mean, %b_getattr_getattr_l__self___features___6___branch2___0___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.1780113Z     %relu__14 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_14,), kwargs = {})
2025-03-21T20:22:17.1781681Z     %conv2d_15 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__14, %p_getattr_getattr_l__self___features___6___branch2___1___conv_weight, None, [1, 1], [1, 1]), kwargs = {})
2025-03-21T20:22:17.1784682Z     %batch_norm_15 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_15, %p_getattr_getattr_l__self___features___6___branch2___1___bn_weight, %p_getattr_getattr_l__self___features___6___branch2___1___bn_bias, %b_getattr_getattr_l__self___features___6___branch2___1___bn_running_mean, %b_getattr_getattr_l__self___features___6___branch2___1___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.1787486Z     %relu__15 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_15,), kwargs = {})
2025-03-21T20:22:17.1789072Z     %conv2d_16 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__15, %p_getattr_getattr_l__self___features___6___branch2___2___conv_weight, None, [1, 1], [1, 1]), kwargs = {})
2025-03-21T20:22:17.1792073Z     %batch_norm_16 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_16, %p_getattr_getattr_l__self___features___6___branch2___2___bn_weight, %p_getattr_getattr_l__self___features___6___branch2___2___bn_bias, %b_getattr_getattr_l__self___features___6___branch2___2___bn_running_mean, %b_getattr_getattr_l__self___features___6___branch2___2___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.1794663Z     %relu__16 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_16,), kwargs = {})
2025-03-21T20:22:17.1795977Z     %avg_pool2d : [num_users=1] = call_function[target=torch.ops.aten.avg_pool2d.default](args = (%cat_2, [3, 3], [1, 1], [1, 1], False, False), kwargs = {})
2025-03-21T20:22:17.1797674Z     %conv2d_17 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%avg_pool2d, %p_getattr_getattr_l__self___features___6___branch3___1___conv_weight), kwargs = {})
2025-03-21T20:22:17.1800615Z     %batch_norm_17 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_17, %p_getattr_getattr_l__self___features___6___branch3___1___bn_weight, %p_getattr_getattr_l__self___features___6___branch3___1___bn_bias, %b_getattr_getattr_l__self___features___6___branch3___1___bn_running_mean, %b_getattr_getattr_l__self___features___6___branch3___1___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.1803206Z     %relu__17 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_17,), kwargs = {})
2025-03-21T20:22:17.1804460Z     %cat_3 : [num_users=4] = call_function[target=torch.ops.aten.cat.default](args = ([%relu__11, %relu__13, %relu__16, %relu__17], 1), kwargs = {})
2025-03-21T20:22:17.1806056Z     %conv2d_18 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%cat_3, %p_getattr_l__self___features___7___branch0_conv_weight), kwargs = {})
2025-03-21T20:22:17.1808805Z     %batch_norm_18 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_18, %p_getattr_l__self___features___7___branch0_bn_weight, %p_getattr_l__self___features___7___branch0_bn_bias, %b_getattr_l__self___features___7___branch0_bn_running_mean, %b_getattr_l__self___features___7___branch0_bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.1811279Z     %relu__18 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_18,), kwargs = {})
2025-03-21T20:22:17.1812844Z     %conv2d_19 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%cat_3, %p_getattr_getattr_l__self___features___7___branch1___0___conv_weight), kwargs = {})
2025-03-21T20:22:17.1815786Z     %batch_norm_19 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_19, %p_getattr_getattr_l__self___features___7___branch1___0___bn_weight, %p_getattr_getattr_l__self___features___7___branch1___0___bn_bias, %b_getattr_getattr_l__self___features___7___branch1___0___bn_running_mean, %b_getattr_getattr_l__self___features___7___branch1___0___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.1818417Z     %relu__19 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_19,), kwargs = {})
2025-03-21T20:22:17.1819980Z     %conv2d_20 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__19, %p_getattr_getattr_l__self___features___7___branch1___1___conv_weight, None, [1, 1], [1, 1]), kwargs = {})
2025-03-21T20:22:17.1823200Z     %batch_norm_20 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_20, %p_getattr_getattr_l__self___features___7___branch1___1___bn_weight, %p_getattr_getattr_l__self___features___7___branch1___1___bn_bias, %b_getattr_getattr_l__self___features___7___branch1___1___bn_running_mean, %b_getattr_getattr_l__self___features___7___branch1___1___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.1825789Z     %relu__20 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_20,), kwargs = {})
2025-03-21T20:22:17.1827255Z     %conv2d_21 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%cat_3, %p_getattr_getattr_l__self___features___7___branch2___0___conv_weight), kwargs = {})
2025-03-21T20:22:17.1830155Z     %batch_norm_21 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_21, %p_getattr_getattr_l__self___features___7___branch2___0___bn_weight, %p_getattr_getattr_l__self___features___7___branch2___0___bn_bias, %b_getattr_getattr_l__self___features___7___branch2___0___bn_running_mean, %b_getattr_getattr_l__self___features___7___branch2___0___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.1832822Z     %relu__21 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_21,), kwargs = {})
2025-03-21T20:22:17.1834381Z     %conv2d_22 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__21, %p_getattr_getattr_l__self___features___7___branch2___1___conv_weight, None, [1, 1], [1, 1]), kwargs = {})
2025-03-21T20:22:17.1837432Z     %batch_norm_22 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_22, %p_getattr_getattr_l__self___features___7___branch2___1___bn_weight, %p_getattr_getattr_l__self___features___7___branch2___1___bn_bias, %b_getattr_getattr_l__self___features___7___branch2___1___bn_running_mean, %b_getattr_getattr_l__self___features___7___branch2___1___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.1840163Z     %relu__22 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_22,), kwargs = {})
2025-03-21T20:22:17.1841801Z     %conv2d_23 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__22, %p_getattr_getattr_l__self___features___7___branch2___2___conv_weight, None, [1, 1], [1, 1]), kwargs = {})
2025-03-21T20:22:17.1844800Z     %batch_norm_23 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_23, %p_getattr_getattr_l__self___features___7___branch2___2___bn_weight, %p_getattr_getattr_l__self___features___7___branch2___2___bn_bias, %b_getattr_getattr_l__self___features___7___branch2___2___bn_running_mean, %b_getattr_getattr_l__self___features___7___branch2___2___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.1847456Z     %relu__23 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_23,), kwargs = {})
2025-03-21T20:22:17.1848776Z     %avg_pool2d_1 : [num_users=1] = call_function[target=torch.ops.aten.avg_pool2d.default](args = (%cat_3, [3, 3], [1, 1], [1, 1], False, False), kwargs = {})
2025-03-21T20:22:17.1850416Z     %conv2d_24 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%avg_pool2d_1, %p_getattr_getattr_l__self___features___7___branch3___1___conv_weight), kwargs = {})
2025-03-21T20:22:17.1853339Z     %batch_norm_24 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_24, %p_getattr_getattr_l__self___features___7___branch3___1___bn_weight, %p_getattr_getattr_l__self___features___7___branch3___1___bn_bias, %b_getattr_getattr_l__self___features___7___branch3___1___bn_running_mean, %b_getattr_getattr_l__self___features___7___branch3___1___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.1856350Z     %relu__24 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_24,), kwargs = {})
2025-03-21T20:22:17.1857748Z     %cat_4 : [num_users=4] = call_function[target=torch.ops.aten.cat.default](args = ([%relu__18, %relu__20, %relu__23, %relu__24], 1), kwargs = {})
2025-03-21T20:22:17.1859262Z     %conv2d_25 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%cat_4, %p_getattr_l__self___features___8___branch0_conv_weight), kwargs = {})
2025-03-21T20:22:17.1861851Z     %batch_norm_25 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_25, %p_getattr_l__self___features___8___branch0_bn_weight, %p_getattr_l__self___features___8___branch0_bn_bias, %b_getattr_l__self___features___8___branch0_bn_running_mean, %b_getattr_l__self___features___8___branch0_bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.1864271Z     %relu__25 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_25,), kwargs = {})
2025-03-21T20:22:17.1865742Z     %conv2d_26 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%cat_4, %p_getattr_getattr_l__self___features___8___branch1___0___conv_weight), kwargs = {})
2025-03-21T20:22:17.1868707Z     %batch_norm_26 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_26, %p_getattr_getattr_l__self___features___8___branch1___0___bn_weight, %p_getattr_getattr_l__self___features___8___branch1___0___bn_bias, %b_getattr_getattr_l__self___features___8___branch1___0___bn_running_mean, %b_getattr_getattr_l__self___features___8___branch1___0___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.1871278Z     %relu__26 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_26,), kwargs = {})
2025-03-21T20:22:17.1872846Z     %conv2d_27 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__26, %p_getattr_getattr_l__self___features___8___branch1___1___conv_weight, None, [1, 1], [1, 1]), kwargs = {})
2025-03-21T20:22:17.1875832Z     %batch_norm_27 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_27, %p_getattr_getattr_l__self___features___8___branch1___1___bn_weight, %p_getattr_getattr_l__self___features___8___branch1___1___bn_bias, %b_getattr_getattr_l__self___features___8___branch1___1___bn_running_mean, %b_getattr_getattr_l__self___features___8___branch1___1___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.1878408Z     %relu__27 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_27,), kwargs = {})
2025-03-21T20:22:17.1879868Z     %conv2d_28 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%cat_4, %p_getattr_getattr_l__self___features___8___branch2___0___conv_weight), kwargs = {})
2025-03-21T20:22:17.1882760Z     %batch_norm_28 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_28, %p_getattr_getattr_l__self___features___8___branch2___0___bn_weight, %p_getattr_getattr_l__self___features___8___branch2___0___bn_bias, %b_getattr_getattr_l__self___features___8___branch2___0___bn_running_mean, %b_getattr_getattr_l__self___features___8___branch2___0___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.1885328Z     %relu__28 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_28,), kwargs = {})
2025-03-21T20:22:17.1886956Z     %conv2d_29 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__28, %p_getattr_getattr_l__self___features___8___branch2___1___conv_weight, None, [1, 1], [1, 1]), kwargs = {})
2025-03-21T20:22:17.1890066Z     %batch_norm_29 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_29, %p_getattr_getattr_l__self___features___8___branch2___1___bn_weight, %p_getattr_getattr_l__self___features___8___branch2___1___bn_bias, %b_getattr_getattr_l__self___features___8___branch2___1___bn_running_mean, %b_getattr_getattr_l__self___features___8___branch2___1___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.1892821Z     %relu__29 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_29,), kwargs = {})
2025-03-21T20:22:17.1894391Z     %conv2d_30 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__29, %p_getattr_getattr_l__self___features___8___branch2___2___conv_weight, None, [1, 1], [1, 1]), kwargs = {})
2025-03-21T20:22:17.1897386Z     %batch_norm_30 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_30, %p_getattr_getattr_l__self___features___8___branch2___2___bn_weight, %p_getattr_getattr_l__self___features___8___branch2___2___bn_bias, %b_getattr_getattr_l__self___features___8___branch2___2___bn_running_mean, %b_getattr_getattr_l__self___features___8___branch2___2___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.1899974Z     %relu__30 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_30,), kwargs = {})
2025-03-21T20:22:17.1901298Z     %avg_pool2d_2 : [num_users=1] = call_function[target=torch.ops.aten.avg_pool2d.default](args = (%cat_4, [3, 3], [1, 1], [1, 1], False, False), kwargs = {})
2025-03-21T20:22:17.1902954Z     %conv2d_31 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%avg_pool2d_2, %p_getattr_getattr_l__self___features___8___branch3___1___conv_weight), kwargs = {})
2025-03-21T20:22:17.1905884Z     %batch_norm_31 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_31, %p_getattr_getattr_l__self___features___8___branch3___1___bn_weight, %p_getattr_getattr_l__self___features___8___branch3___1___bn_bias, %b_getattr_getattr_l__self___features___8___branch3___1___bn_running_mean, %b_getattr_getattr_l__self___features___8___branch3___1___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.1908470Z     %relu__31 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_31,), kwargs = {})
2025-03-21T20:22:17.1909729Z     %cat_5 : [num_users=4] = call_function[target=torch.ops.aten.cat.default](args = ([%relu__25, %relu__27, %relu__30, %relu__31], 1), kwargs = {})
2025-03-21T20:22:17.1911222Z     %conv2d_32 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%cat_5, %p_getattr_l__self___features___9___branch0_conv_weight), kwargs = {})
2025-03-21T20:22:17.1913816Z     %batch_norm_32 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_32, %p_getattr_l__self___features___9___branch0_bn_weight, %p_getattr_l__self___features___9___branch0_bn_bias, %b_getattr_l__self___features___9___branch0_bn_running_mean, %b_getattr_l__self___features___9___branch0_bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.1916172Z     %relu__32 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_32,), kwargs = {})
2025-03-21T20:22:17.1917653Z     %conv2d_33 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%cat_5, %p_getattr_getattr_l__self___features___9___branch1___0___conv_weight), kwargs = {})
2025-03-21T20:22:17.1920520Z     %batch_norm_33 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_33, %p_getattr_getattr_l__self___features___9___branch1___0___bn_weight, %p_getattr_getattr_l__self___features___9___branch1___0___bn_bias, %b_getattr_getattr_l__self___features___9___branch1___0___bn_running_mean, %b_getattr_getattr_l__self___features___9___branch1___0___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.1923075Z     %relu__33 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_33,), kwargs = {})
2025-03-21T20:22:17.1924879Z     %conv2d_34 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__33, %p_getattr_getattr_l__self___features___9___branch1___1___conv_weight, None, [1, 1], [1, 1]), kwargs = {})
2025-03-21T20:22:17.1927987Z     %batch_norm_34 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_34, %p_getattr_getattr_l__self___features___9___branch1___1___bn_weight, %p_getattr_getattr_l__self___features___9___branch1___1___bn_bias, %b_getattr_getattr_l__self___features___9___branch1___1___bn_running_mean, %b_getattr_getattr_l__self___features___9___branch1___1___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.1930561Z     %relu__34 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_34,), kwargs = {})
2025-03-21T20:22:17.1932029Z     %conv2d_35 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%cat_5, %p_getattr_getattr_l__self___features___9___branch2___0___conv_weight), kwargs = {})
2025-03-21T20:22:17.1934922Z     %batch_norm_35 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_35, %p_getattr_getattr_l__self___features___9___branch2___0___bn_weight, %p_getattr_getattr_l__self___features___9___branch2___0___bn_bias, %b_getattr_getattr_l__self___features___9___branch2___0___bn_running_mean, %b_getattr_getattr_l__self___features___9___branch2___0___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.1937505Z     %relu__35 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_35,), kwargs = {})
2025-03-21T20:22:17.1939062Z     %conv2d_36 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__35, %p_getattr_getattr_l__self___features___9___branch2___1___conv_weight, None, [1, 1], [1, 1]), kwargs = {})
2025-03-21T20:22:17.1942346Z     %batch_norm_36 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_36, %p_getattr_getattr_l__self___features___9___branch2___1___bn_weight, %p_getattr_getattr_l__self___features___9___branch2___1___bn_bias, %b_getattr_getattr_l__self___features___9___branch2___1___bn_running_mean, %b_getattr_getattr_l__self___features___9___branch2___1___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.1944947Z     %relu__36 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_36,), kwargs = {})
2025-03-21T20:22:17.1946521Z     %conv2d_37 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__36, %p_getattr_getattr_l__self___features___9___branch2___2___conv_weight, None, [1, 1], [1, 1]), kwargs = {})
2025-03-21T20:22:17.1949517Z     %batch_norm_37 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_37, %p_getattr_getattr_l__self___features___9___branch2___2___bn_weight, %p_getattr_getattr_l__self___features___9___branch2___2___bn_bias, %b_getattr_getattr_l__self___features___9___branch2___2___bn_running_mean, %b_getattr_getattr_l__self___features___9___branch2___2___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.1952108Z     %relu__37 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_37,), kwargs = {})
2025-03-21T20:22:17.1953427Z     %avg_pool2d_3 : [num_users=1] = call_function[target=torch.ops.aten.avg_pool2d.default](args = (%cat_5, [3, 3], [1, 1], [1, 1], False, False), kwargs = {})
2025-03-21T20:22:17.1955081Z     %conv2d_38 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%avg_pool2d_3, %p_getattr_getattr_l__self___features___9___branch3___1___conv_weight), kwargs = {})
2025-03-21T20:22:17.1958027Z     %batch_norm_38 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_38, %p_getattr_getattr_l__self___features___9___branch3___1___bn_weight, %p_getattr_getattr_l__self___features___9___branch3___1___bn_bias, %b_getattr_getattr_l__self___features___9___branch3___1___bn_running_mean, %b_getattr_getattr_l__self___features___9___branch3___1___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.1961026Z     %relu__38 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_38,), kwargs = {})
2025-03-21T20:22:17.1962307Z     %cat_6 : [num_users=3] = call_function[target=torch.ops.aten.cat.default](args = ([%relu__32, %relu__34, %relu__37, %relu__38], 1), kwargs = {})
2025-03-21T20:22:17.1963871Z     %conv2d_39 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%cat_6, %p_getattr_l__self___features___10___branch0_conv_weight, None, [2, 2]), kwargs = {})
2025-03-21T20:22:17.1966616Z     %batch_norm_39 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_39, %p_getattr_l__self___features___10___branch0_bn_weight, %p_getattr_l__self___features___10___branch0_bn_bias, %b_getattr_l__self___features___10___branch0_bn_running_mean, %b_getattr_l__self___features___10___branch0_bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.1968987Z     %relu__39 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_39,), kwargs = {})
2025-03-21T20:22:17.1970459Z     %conv2d_40 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%cat_6, %p_getattr_getattr_l__self___features___10___branch1___0___conv_weight), kwargs = {})
2025-03-21T20:22:17.1973365Z     %batch_norm_40 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_40, %p_getattr_getattr_l__self___features___10___branch1___0___bn_weight, %p_getattr_getattr_l__self___features___10___branch1___0___bn_bias, %b_getattr_getattr_l__self___features___10___branch1___0___bn_running_mean, %b_getattr_getattr_l__self___features___10___branch1___0___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.1975955Z     %relu__40 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_40,), kwargs = {})
2025-03-21T20:22:17.1977536Z     %conv2d_41 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__40, %p_getattr_getattr_l__self___features___10___branch1___1___conv_weight, None, [1, 1], [1, 1]), kwargs = {})
2025-03-21T20:22:17.1980546Z     %batch_norm_41 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_41, %p_getattr_getattr_l__self___features___10___branch1___1___bn_weight, %p_getattr_getattr_l__self___features___10___branch1___1___bn_bias, %b_getattr_getattr_l__self___features___10___branch1___1___bn_running_mean, %b_getattr_getattr_l__self___features___10___branch1___1___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.1983129Z     %relu__41 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_41,), kwargs = {})
2025-03-21T20:22:17.1984685Z     %conv2d_42 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__41, %p_getattr_getattr_l__self___features___10___branch1___2___conv_weight, None, [2, 2]), kwargs = {})
2025-03-21T20:22:17.1987668Z     %batch_norm_42 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_42, %p_getattr_getattr_l__self___features___10___branch1___2___bn_weight, %p_getattr_getattr_l__self___features___10___branch1___2___bn_bias, %b_getattr_getattr_l__self___features___10___branch1___2___bn_running_mean, %b_getattr_getattr_l__self___features___10___branch1___2___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.1990253Z     %relu__42 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_42,), kwargs = {})
2025-03-21T20:22:17.1991501Z     %max_pool2d_2 : [num_users=1] = call_function[target=torch.ops.aten.max_pool2d.default](args = (%cat_6, [3, 3], [2, 2]), kwargs = {})
2025-03-21T20:22:17.1993000Z     %cat_7 : [num_users=4] = call_function[target=torch.ops.aten.cat.default](args = ([%relu__39, %relu__42, %max_pool2d_2], 1), kwargs = {})
2025-03-21T20:22:17.1994563Z     %conv2d_43 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%cat_7, %p_getattr_l__self___features___11___branch0_conv_weight), kwargs = {})
2025-03-21T20:22:17.1997181Z     %batch_norm_43 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_43, %p_getattr_l__self___features___11___branch0_bn_weight, %p_getattr_l__self___features___11___branch0_bn_bias, %b_getattr_l__self___features___11___branch0_bn_running_mean, %b_getattr_l__self___features___11___branch0_bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.1999524Z     %relu__43 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_43,), kwargs = {})
2025-03-21T20:22:17.2000986Z     %conv2d_44 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%cat_7, %p_getattr_getattr_l__self___features___11___branch1___0___conv_weight), kwargs = {})
2025-03-21T20:22:17.2003884Z     %batch_norm_44 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_44, %p_getattr_getattr_l__self___features___11___branch1___0___bn_weight, %p_getattr_getattr_l__self___features___11___branch1___0___bn_bias, %b_getattr_getattr_l__self___features___11___branch1___0___bn_running_mean, %b_getattr_getattr_l__self___features___11___branch1___0___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2006553Z     %relu__44 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_44,), kwargs = {})
2025-03-21T20:22:17.2008118Z     %conv2d_45 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__44, %p_getattr_getattr_l__self___features___11___branch1___1___conv_weight, None, [1, 1], [0, 3]), kwargs = {})
2025-03-21T20:22:17.2011129Z     %batch_norm_45 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_45, %p_getattr_getattr_l__self___features___11___branch1___1___bn_weight, %p_getattr_getattr_l__self___features___11___branch1___1___bn_bias, %b_getattr_getattr_l__self___features___11___branch1___1___bn_running_mean, %b_getattr_getattr_l__self___features___11___branch1___1___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2013725Z     %relu__45 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_45,), kwargs = {})
2025-03-21T20:22:17.2015290Z     %conv2d_46 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__45, %p_getattr_getattr_l__self___features___11___branch1___2___conv_weight, None, [1, 1], [3, 0]), kwargs = {})
2025-03-21T20:22:17.2018275Z     %batch_norm_46 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_46, %p_getattr_getattr_l__self___features___11___branch1___2___bn_weight, %p_getattr_getattr_l__self___features___11___branch1___2___bn_bias, %b_getattr_getattr_l__self___features___11___branch1___2___bn_running_mean, %b_getattr_getattr_l__self___features___11___branch1___2___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2020853Z     %relu__46 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_46,), kwargs = {})
2025-03-21T20:22:17.2022309Z     %conv2d_47 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%cat_7, %p_getattr_getattr_l__self___features___11___branch2___0___conv_weight), kwargs = {})
2025-03-21T20:22:17.2025191Z     %batch_norm_47 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_47, %p_getattr_getattr_l__self___features___11___branch2___0___bn_weight, %p_getattr_getattr_l__self___features___11___branch2___0___bn_bias, %b_getattr_getattr_l__self___features___11___branch2___0___bn_running_mean, %b_getattr_getattr_l__self___features___11___branch2___0___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2027895Z     %relu__47 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_47,), kwargs = {})
2025-03-21T20:22:17.2029547Z     %conv2d_48 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__47, %p_getattr_getattr_l__self___features___11___branch2___1___conv_weight, None, [1, 1], [3, 0]), kwargs = {})
2025-03-21T20:22:17.2032574Z     %batch_norm_48 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_48, %p_getattr_getattr_l__self___features___11___branch2___1___bn_weight, %p_getattr_getattr_l__self___features___11___branch2___1___bn_bias, %b_getattr_getattr_l__self___features___11___branch2___1___bn_running_mean, %b_getattr_getattr_l__self___features___11___branch2___1___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2035161Z     %relu__48 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_48,), kwargs = {})
2025-03-21T20:22:17.2036754Z     %conv2d_49 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__48, %p_getattr_getattr_l__self___features___11___branch2___2___conv_weight, None, [1, 1], [0, 3]), kwargs = {})
2025-03-21T20:22:17.2039967Z     %batch_norm_49 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_49, %p_getattr_getattr_l__self___features___11___branch2___2___bn_weight, %p_getattr_getattr_l__self___features___11___branch2___2___bn_bias, %b_getattr_getattr_l__self___features___11___branch2___2___bn_running_mean, %b_getattr_getattr_l__self___features___11___branch2___2___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2042581Z     %relu__49 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_49,), kwargs = {})
2025-03-21T20:22:17.2044154Z     %conv2d_50 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__49, %p_getattr_getattr_l__self___features___11___branch2___3___conv_weight, None, [1, 1], [3, 0]), kwargs = {})
2025-03-21T20:22:17.2047229Z     %batch_norm_50 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_50, %p_getattr_getattr_l__self___features___11___branch2___3___bn_weight, %p_getattr_getattr_l__self___features___11___branch2___3___bn_bias, %b_getattr_getattr_l__self___features___11___branch2___3___bn_running_mean, %b_getattr_getattr_l__self___features___11___branch2___3___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2049809Z     %relu__50 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_50,), kwargs = {})
2025-03-21T20:22:17.2051379Z     %conv2d_51 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__50, %p_getattr_getattr_l__self___features___11___branch2___4___conv_weight, None, [1, 1], [0, 3]), kwargs = {})
2025-03-21T20:22:17.2054379Z     %batch_norm_51 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_51, %p_getattr_getattr_l__self___features___11___branch2___4___bn_weight, %p_getattr_getattr_l__self___features___11___branch2___4___bn_bias, %b_getattr_getattr_l__self___features___11___branch2___4___bn_running_mean, %b_getattr_getattr_l__self___features___11___branch2___4___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2056956Z     %relu__51 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_51,), kwargs = {})
2025-03-21T20:22:17.2058269Z     %avg_pool2d_4 : [num_users=1] = call_function[target=torch.ops.aten.avg_pool2d.default](args = (%cat_7, [3, 3], [1, 1], [1, 1], False, False), kwargs = {})
2025-03-21T20:22:17.2059921Z     %conv2d_52 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%avg_pool2d_4, %p_getattr_getattr_l__self___features___11___branch3___1___conv_weight), kwargs = {})
2025-03-21T20:22:17.2063303Z     %batch_norm_52 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_52, %p_getattr_getattr_l__self___features___11___branch3___1___bn_weight, %p_getattr_getattr_l__self___features___11___branch3___1___bn_bias, %b_getattr_getattr_l__self___features___11___branch3___1___bn_running_mean, %b_getattr_getattr_l__self___features___11___branch3___1___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2065920Z     %relu__52 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_52,), kwargs = {})
2025-03-21T20:22:17.2067183Z     %cat_8 : [num_users=4] = call_function[target=torch.ops.aten.cat.default](args = ([%relu__43, %relu__46, %relu__51, %relu__52], 1), kwargs = {})
2025-03-21T20:22:17.2068677Z     %conv2d_53 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%cat_8, %p_getattr_l__self___features___12___branch0_conv_weight), kwargs = {})
2025-03-21T20:22:17.2071285Z     %batch_norm_53 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_53, %p_getattr_l__self___features___12___branch0_bn_weight, %p_getattr_l__self___features___12___branch0_bn_bias, %b_getattr_l__self___features___12___branch0_bn_running_mean, %b_getattr_l__self___features___12___branch0_bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2073641Z     %relu__53 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_53,), kwargs = {})
2025-03-21T20:22:17.2075115Z     %conv2d_54 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%cat_8, %p_getattr_getattr_l__self___features___12___branch1___0___conv_weight), kwargs = {})
2025-03-21T20:22:17.2078023Z     %batch_norm_54 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_54, %p_getattr_getattr_l__self___features___12___branch1___0___bn_weight, %p_getattr_getattr_l__self___features___12___branch1___0___bn_bias, %b_getattr_getattr_l__self___features___12___branch1___0___bn_running_mean, %b_getattr_getattr_l__self___features___12___branch1___0___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2080775Z     %relu__54 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_54,), kwargs = {})
2025-03-21T20:22:17.2082357Z     %conv2d_55 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__54, %p_getattr_getattr_l__self___features___12___branch1___1___conv_weight, None, [1, 1], [0, 3]), kwargs = {})
2025-03-21T20:22:17.2085355Z     %batch_norm_55 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_55, %p_getattr_getattr_l__self___features___12___branch1___1___bn_weight, %p_getattr_getattr_l__self___features___12___branch1___1___bn_bias, %b_getattr_getattr_l__self___features___12___branch1___1___bn_running_mean, %b_getattr_getattr_l__self___features___12___branch1___1___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2088054Z     %relu__55 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_55,), kwargs = {})
2025-03-21T20:22:17.2089633Z     %conv2d_56 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__55, %p_getattr_getattr_l__self___features___12___branch1___2___conv_weight, None, [1, 1], [3, 0]), kwargs = {})
2025-03-21T20:22:17.2092632Z     %batch_norm_56 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_56, %p_getattr_getattr_l__self___features___12___branch1___2___bn_weight, %p_getattr_getattr_l__self___features___12___branch1___2___bn_bias, %b_getattr_getattr_l__self___features___12___branch1___2___bn_running_mean, %b_getattr_getattr_l__self___features___12___branch1___2___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2095211Z     %relu__56 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_56,), kwargs = {})
2025-03-21T20:22:17.2096821Z     %conv2d_57 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%cat_8, %p_getattr_getattr_l__self___features___12___branch2___0___conv_weight), kwargs = {})
2025-03-21T20:22:17.2099873Z     %batch_norm_57 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_57, %p_getattr_getattr_l__self___features___12___branch2___0___bn_weight, %p_getattr_getattr_l__self___features___12___branch2___0___bn_bias, %b_getattr_getattr_l__self___features___12___branch2___0___bn_running_mean, %b_getattr_getattr_l__self___features___12___branch2___0___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2102498Z     %relu__57 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_57,), kwargs = {})
2025-03-21T20:22:17.2104075Z     %conv2d_58 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__57, %p_getattr_getattr_l__self___features___12___branch2___1___conv_weight, None, [1, 1], [3, 0]), kwargs = {})
2025-03-21T20:22:17.2107098Z     %batch_norm_58 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_58, %p_getattr_getattr_l__self___features___12___branch2___1___bn_weight, %p_getattr_getattr_l__self___features___12___branch2___1___bn_bias, %b_getattr_getattr_l__self___features___12___branch2___1___bn_running_mean, %b_getattr_getattr_l__self___features___12___branch2___1___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2109691Z     %relu__58 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_58,), kwargs = {})
2025-03-21T20:22:17.2111274Z     %conv2d_59 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__58, %p_getattr_getattr_l__self___features___12___branch2___2___conv_weight, None, [1, 1], [0, 3]), kwargs = {})
2025-03-21T20:22:17.2114299Z     %batch_norm_59 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_59, %p_getattr_getattr_l__self___features___12___branch2___2___bn_weight, %p_getattr_getattr_l__self___features___12___branch2___2___bn_bias, %b_getattr_getattr_l__self___features___12___branch2___2___bn_running_mean, %b_getattr_getattr_l__self___features___12___branch2___2___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2116938Z     %relu__59 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_59,), kwargs = {})
2025-03-21T20:22:17.2118524Z     %conv2d_60 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__59, %p_getattr_getattr_l__self___features___12___branch2___3___conv_weight, None, [1, 1], [3, 0]), kwargs = {})
2025-03-21T20:22:17.2121533Z     %batch_norm_60 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_60, %p_getattr_getattr_l__self___features___12___branch2___3___bn_weight, %p_getattr_getattr_l__self___features___12___branch2___3___bn_bias, %b_getattr_getattr_l__self___features___12___branch2___3___bn_running_mean, %b_getattr_getattr_l__self___features___12___branch2___3___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2124139Z     %relu__60 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_60,), kwargs = {})
2025-03-21T20:22:17.2125708Z     %conv2d_61 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__60, %p_getattr_getattr_l__self___features___12___branch2___4___conv_weight, None, [1, 1], [0, 3]), kwargs = {})
2025-03-21T20:22:17.2129008Z     %batch_norm_61 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_61, %p_getattr_getattr_l__self___features___12___branch2___4___bn_weight, %p_getattr_getattr_l__self___features___12___branch2___4___bn_bias, %b_getattr_getattr_l__self___features___12___branch2___4___bn_running_mean, %b_getattr_getattr_l__self___features___12___branch2___4___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2132033Z     %relu__61 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_61,), kwargs = {})
2025-03-21T20:22:17.2133518Z     %avg_pool2d_5 : [num_users=1] = call_function[target=torch.ops.aten.avg_pool2d.default](args = (%cat_8, [3, 3], [1, 1], [1, 1], False, False), kwargs = {})
2025-03-21T20:22:17.2135330Z     %conv2d_62 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%avg_pool2d_5, %p_getattr_getattr_l__self___features___12___branch3___1___conv_weight), kwargs = {})
2025-03-21T20:22:17.2138426Z     %batch_norm_62 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_62, %p_getattr_getattr_l__self___features___12___branch3___1___bn_weight, %p_getattr_getattr_l__self___features___12___branch3___1___bn_bias, %b_getattr_getattr_l__self___features___12___branch3___1___bn_running_mean, %b_getattr_getattr_l__self___features___12___branch3___1___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2141394Z     %relu__62 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_62,), kwargs = {})
2025-03-21T20:22:17.2142804Z     %cat_9 : [num_users=4] = call_function[target=torch.ops.aten.cat.default](args = ([%relu__53, %relu__56, %relu__61, %relu__62], 1), kwargs = {})
2025-03-21T20:22:17.2144308Z     %conv2d_63 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%cat_9, %p_getattr_l__self___features___13___branch0_conv_weight), kwargs = {})
2025-03-21T20:22:17.2146948Z     %batch_norm_63 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_63, %p_getattr_l__self___features___13___branch0_bn_weight, %p_getattr_l__self___features___13___branch0_bn_bias, %b_getattr_l__self___features___13___branch0_bn_running_mean, %b_getattr_l__self___features___13___branch0_bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2149433Z     %relu__63 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_63,), kwargs = {})
2025-03-21T20:22:17.2150964Z     %conv2d_64 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%cat_9, %p_getattr_getattr_l__self___features___13___branch1___0___conv_weight), kwargs = {})
2025-03-21T20:22:17.2154012Z     %batch_norm_64 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_64, %p_getattr_getattr_l__self___features___13___branch1___0___bn_weight, %p_getattr_getattr_l__self___features___13___branch1___0___bn_bias, %b_getattr_getattr_l__self___features___13___branch1___0___bn_running_mean, %b_getattr_getattr_l__self___features___13___branch1___0___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2156706Z     %relu__64 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_64,), kwargs = {})
2025-03-21T20:22:17.2158335Z     %conv2d_65 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__64, %p_getattr_getattr_l__self___features___13___branch1___1___conv_weight, None, [1, 1], [0, 3]), kwargs = {})
2025-03-21T20:22:17.2161444Z     %batch_norm_65 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_65, %p_getattr_getattr_l__self___features___13___branch1___1___bn_weight, %p_getattr_getattr_l__self___features___13___branch1___1___bn_bias, %b_getattr_getattr_l__self___features___13___branch1___1___bn_running_mean, %b_getattr_getattr_l__self___features___13___branch1___1___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2164019Z     %relu__65 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_65,), kwargs = {})
2025-03-21T20:22:17.2165630Z     %conv2d_66 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__65, %p_getattr_getattr_l__self___features___13___branch1___2___conv_weight, None, [1, 1], [3, 0]), kwargs = {})
2025-03-21T20:22:17.2169279Z     %batch_norm_66 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_66, %p_getattr_getattr_l__self___features___13___branch1___2___bn_weight, %p_getattr_getattr_l__self___features___13___branch1___2___bn_bias, %b_getattr_getattr_l__self___features___13___branch1___2___bn_running_mean, %b_getattr_getattr_l__self___features___13___branch1___2___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2171898Z     %relu__66 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_66,), kwargs = {})
2025-03-21T20:22:17.2173427Z     %conv2d_67 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%cat_9, %p_getattr_getattr_l__self___features___13___branch2___0___conv_weight), kwargs = {})
2025-03-21T20:22:17.2176592Z     %batch_norm_67 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_67, %p_getattr_getattr_l__self___features___13___branch2___0___bn_weight, %p_getattr_getattr_l__self___features___13___branch2___0___bn_bias, %b_getattr_getattr_l__self___features___13___branch2___0___bn_running_mean, %b_getattr_getattr_l__self___features___13___branch2___0___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2179371Z     %relu__67 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_67,), kwargs = {})
2025-03-21T20:22:17.2181158Z     %conv2d_68 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__67, %p_getattr_getattr_l__self___features___13___branch2___1___conv_weight, None, [1, 1], [3, 0]), kwargs = {})
2025-03-21T20:22:17.2184339Z     %batch_norm_68 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_68, %p_getattr_getattr_l__self___features___13___branch2___1___bn_weight, %p_getattr_getattr_l__self___features___13___branch2___1___bn_bias, %b_getattr_getattr_l__self___features___13___branch2___1___bn_running_mean, %b_getattr_getattr_l__self___features___13___branch2___1___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2187191Z     %relu__68 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_68,), kwargs = {})
2025-03-21T20:22:17.2188828Z     %conv2d_69 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__68, %p_getattr_getattr_l__self___features___13___branch2___2___conv_weight, None, [1, 1], [0, 3]), kwargs = {})
2025-03-21T20:22:17.2192250Z     %batch_norm_69 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_69, %p_getattr_getattr_l__self___features___13___branch2___2___bn_weight, %p_getattr_getattr_l__self___features___13___branch2___2___bn_bias, %b_getattr_getattr_l__self___features___13___branch2___2___bn_running_mean, %b_getattr_getattr_l__self___features___13___branch2___2___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2195089Z     %relu__69 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_69,), kwargs = {})
2025-03-21T20:22:17.2196890Z     %conv2d_70 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__69, %p_getattr_getattr_l__self___features___13___branch2___3___conv_weight, None, [1, 1], [3, 0]), kwargs = {})
2025-03-21T20:22:17.2200082Z     %batch_norm_70 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_70, %p_getattr_getattr_l__self___features___13___branch2___3___bn_weight, %p_getattr_getattr_l__self___features___13___branch2___3___bn_bias, %b_getattr_getattr_l__self___features___13___branch2___3___bn_running_mean, %b_getattr_getattr_l__self___features___13___branch2___3___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2203077Z     %relu__70 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_70,), kwargs = {})
2025-03-21T20:22:17.2204871Z     %conv2d_71 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__70, %p_getattr_getattr_l__self___features___13___branch2___4___conv_weight, None, [1, 1], [0, 3]), kwargs = {})
2025-03-21T20:22:17.2208678Z     %batch_norm_71 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_71, %p_getattr_getattr_l__self___features___13___branch2___4___bn_weight, %p_getattr_getattr_l__self___features___13___branch2___4___bn_bias, %b_getattr_getattr_l__self___features___13___branch2___4___bn_running_mean, %b_getattr_getattr_l__self___features___13___branch2___4___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2211287Z     %relu__71 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_71,), kwargs = {})
2025-03-21T20:22:17.2212647Z     %avg_pool2d_6 : [num_users=1] = call_function[target=torch.ops.aten.avg_pool2d.default](args = (%cat_9, [3, 3], [1, 1], [1, 1], False, False), kwargs = {})
2025-03-21T20:22:17.2214345Z     %conv2d_72 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%avg_pool2d_6, %p_getattr_getattr_l__self___features___13___branch3___1___conv_weight), kwargs = {})
2025-03-21T20:22:17.2217385Z     %batch_norm_72 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_72, %p_getattr_getattr_l__self___features___13___branch3___1___bn_weight, %p_getattr_getattr_l__self___features___13___branch3___1___bn_bias, %b_getattr_getattr_l__self___features___13___branch3___1___bn_running_mean, %b_getattr_getattr_l__self___features___13___branch3___1___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2220263Z     %relu__72 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_72,), kwargs = {})
2025-03-21T20:22:17.2221570Z     %cat_10 : [num_users=4] = call_function[target=torch.ops.aten.cat.default](args = ([%relu__63, %relu__66, %relu__71, %relu__72], 1), kwargs = {})
2025-03-21T20:22:17.2223265Z     %conv2d_73 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%cat_10, %p_getattr_l__self___features___14___branch0_conv_weight), kwargs = {})
2025-03-21T20:22:17.2225995Z     %batch_norm_73 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_73, %p_getattr_l__self___features___14___branch0_bn_weight, %p_getattr_l__self___features___14___branch0_bn_bias, %b_getattr_l__self___features___14___branch0_bn_running_mean, %b_getattr_l__self___features___14___branch0_bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2228392Z     %relu__73 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_73,), kwargs = {})
2025-03-21T20:22:17.2229939Z     %conv2d_74 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%cat_10, %p_getattr_getattr_l__self___features___14___branch1___0___conv_weight), kwargs = {})
2025-03-21T20:22:17.2233081Z     %batch_norm_74 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_74, %p_getattr_getattr_l__self___features___14___branch1___0___bn_weight, %p_getattr_getattr_l__self___features___14___branch1___0___bn_bias, %b_getattr_getattr_l__self___features___14___branch1___0___bn_running_mean, %b_getattr_getattr_l__self___features___14___branch1___0___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2235831Z     %relu__74 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_74,), kwargs = {})
2025-03-21T20:22:17.2237405Z     %conv2d_75 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__74, %p_getattr_getattr_l__self___features___14___branch1___1___conv_weight, None, [1, 1], [0, 3]), kwargs = {})
2025-03-21T20:22:17.2240631Z     %batch_norm_75 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_75, %p_getattr_getattr_l__self___features___14___branch1___1___bn_weight, %p_getattr_getattr_l__self___features___14___branch1___1___bn_bias, %b_getattr_getattr_l__self___features___14___branch1___1___bn_running_mean, %b_getattr_getattr_l__self___features___14___branch1___1___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2243778Z     %relu__75 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_75,), kwargs = {})
2025-03-21T20:22:17.2245375Z     %conv2d_76 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__75, %p_getattr_getattr_l__self___features___14___branch1___2___conv_weight, None, [1, 1], [3, 0]), kwargs = {})
2025-03-21T20:22:17.2248492Z     %batch_norm_76 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_76, %p_getattr_getattr_l__self___features___14___branch1___2___bn_weight, %p_getattr_getattr_l__self___features___14___branch1___2___bn_bias, %b_getattr_getattr_l__self___features___14___branch1___2___bn_running_mean, %b_getattr_getattr_l__self___features___14___branch1___2___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2249011Z     %relu__76 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_76,), kwargs = {})
2025-03-21T20:22:17.2249915Z     %conv2d_77 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%cat_10, %p_getattr_getattr_l__self___features___14___branch2___0___conv_weight), kwargs = {})
2025-03-21T20:22:17.2251857Z     %batch_norm_77 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_77, %p_getattr_getattr_l__self___features___14___branch2___0___bn_weight, %p_getattr_getattr_l__self___features___14___branch2___0___bn_bias, %b_getattr_getattr_l__self___features___14___branch2___0___bn_running_mean, %b_getattr_getattr_l__self___features___14___branch2___0___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2252372Z     %relu__77 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_77,), kwargs = {})
2025-03-21T20:22:17.2253357Z     %conv2d_78 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__77, %p_getattr_getattr_l__self___features___14___branch2___1___conv_weight, None, [1, 1], [3, 0]), kwargs = {})
2025-03-21T20:22:17.2255286Z     %batch_norm_78 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_78, %p_getattr_getattr_l__self___features___14___branch2___1___bn_weight, %p_getattr_getattr_l__self___features___14___branch2___1___bn_bias, %b_getattr_getattr_l__self___features___14___branch2___1___bn_running_mean, %b_getattr_getattr_l__self___features___14___branch2___1___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2255799Z     %relu__78 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_78,), kwargs = {})
2025-03-21T20:22:17.2256794Z     %conv2d_79 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__78, %p_getattr_getattr_l__self___features___14___branch2___2___conv_weight, None, [1, 1], [0, 3]), kwargs = {})
2025-03-21T20:22:17.2258803Z     %batch_norm_79 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_79, %p_getattr_getattr_l__self___features___14___branch2___2___bn_weight, %p_getattr_getattr_l__self___features___14___branch2___2___bn_bias, %b_getattr_getattr_l__self___features___14___branch2___2___bn_running_mean, %b_getattr_getattr_l__self___features___14___branch2___2___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2259313Z     %relu__79 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_79,), kwargs = {})
2025-03-21T20:22:17.2260229Z     %conv2d_80 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__79, %p_getattr_getattr_l__self___features___14___branch2___3___conv_weight, None, [1, 1], [3, 0]), kwargs = {})
2025-03-21T20:22:17.2262497Z     %batch_norm_80 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_80, %p_getattr_getattr_l__self___features___14___branch2___3___bn_weight, %p_getattr_getattr_l__self___features___14___branch2___3___bn_bias, %b_getattr_getattr_l__self___features___14___branch2___3___bn_running_mean, %b_getattr_getattr_l__self___features___14___branch2___3___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2263026Z     %relu__80 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_80,), kwargs = {})
2025-03-21T20:22:17.2263936Z     %conv2d_81 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__80, %p_getattr_getattr_l__self___features___14___branch2___4___conv_weight, None, [1, 1], [0, 3]), kwargs = {})
2025-03-21T20:22:17.2265977Z     %batch_norm_81 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_81, %p_getattr_getattr_l__self___features___14___branch2___4___bn_weight, %p_getattr_getattr_l__self___features___14___branch2___4___bn_bias, %b_getattr_getattr_l__self___features___14___branch2___4___bn_running_mean, %b_getattr_getattr_l__self___features___14___branch2___4___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2266498Z     %relu__81 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_81,), kwargs = {})
2025-03-21T20:22:17.2267229Z     %avg_pool2d_7 : [num_users=1] = call_function[target=torch.ops.aten.avg_pool2d.default](args = (%cat_10, [3, 3], [1, 1], [1, 1], False, False), kwargs = {})
2025-03-21T20:22:17.2268086Z     %conv2d_82 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%avg_pool2d_7, %p_getattr_getattr_l__self___features___14___branch3___1___conv_weight), kwargs = {})
2025-03-21T20:22:17.2270041Z     %batch_norm_82 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_82, %p_getattr_getattr_l__self___features___14___branch3___1___bn_weight, %p_getattr_getattr_l__self___features___14___branch3___1___bn_bias, %b_getattr_getattr_l__self___features___14___branch3___1___bn_running_mean, %b_getattr_getattr_l__self___features___14___branch3___1___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2270560Z     %relu__82 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_82,), kwargs = {})
2025-03-21T20:22:17.2271173Z     %cat_11 : [num_users=4] = call_function[target=torch.ops.aten.cat.default](args = ([%relu__73, %relu__76, %relu__81, %relu__82], 1), kwargs = {})
2025-03-21T20:22:17.2271931Z     %conv2d_83 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%cat_11, %p_getattr_l__self___features___15___branch0_conv_weight), kwargs = {})
2025-03-21T20:22:17.2273663Z     %batch_norm_83 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_83, %p_getattr_l__self___features___15___branch0_bn_weight, %p_getattr_l__self___features___15___branch0_bn_bias, %b_getattr_l__self___features___15___branch0_bn_running_mean, %b_getattr_l__self___features___15___branch0_bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2274196Z     %relu__83 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_83,), kwargs = {})
2025-03-21T20:22:17.2275035Z     %conv2d_84 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%cat_11, %p_getattr_getattr_l__self___features___15___branch1___0___conv_weight), kwargs = {})
2025-03-21T20:22:17.2277003Z     %batch_norm_84 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_84, %p_getattr_getattr_l__self___features___15___branch1___0___bn_weight, %p_getattr_getattr_l__self___features___15___branch1___0___bn_bias, %b_getattr_getattr_l__self___features___15___branch1___0___bn_running_mean, %b_getattr_getattr_l__self___features___15___branch1___0___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2277659Z     %relu__84 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_84,), kwargs = {})
2025-03-21T20:22:17.2278652Z     %conv2d_85 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__84, %p_getattr_getattr_l__self___features___15___branch1___1___conv_weight, None, [1, 1], [0, 3]), kwargs = {})
2025-03-21T20:22:17.2280688Z     %batch_norm_85 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_85, %p_getattr_getattr_l__self___features___15___branch1___1___bn_weight, %p_getattr_getattr_l__self___features___15___branch1___1___bn_bias, %b_getattr_getattr_l__self___features___15___branch1___1___bn_running_mean, %b_getattr_getattr_l__self___features___15___branch1___1___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2281205Z     %relu__85 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_85,), kwargs = {})
2025-03-21T20:22:17.2282134Z     %conv2d_86 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__85, %p_getattr_getattr_l__self___features___15___branch1___2___conv_weight, None, [1, 1], [3, 0]), kwargs = {})
2025-03-21T20:22:17.2284074Z     %batch_norm_86 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_86, %p_getattr_getattr_l__self___features___15___branch1___2___bn_weight, %p_getattr_getattr_l__self___features___15___branch1___2___bn_bias, %b_getattr_getattr_l__self___features___15___branch1___2___bn_running_mean, %b_getattr_getattr_l__self___features___15___branch1___2___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2284594Z     %relu__86 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_86,), kwargs = {})
2025-03-21T20:22:17.2285410Z     %conv2d_87 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%cat_11, %p_getattr_getattr_l__self___features___15___branch2___0___conv_weight), kwargs = {})
2025-03-21T20:22:17.2287450Z     %batch_norm_87 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_87, %p_getattr_getattr_l__self___features___15___branch2___0___bn_weight, %p_getattr_getattr_l__self___features___15___branch2___0___bn_bias, %b_getattr_getattr_l__self___features___15___branch2___0___bn_running_mean, %b_getattr_getattr_l__self___features___15___branch2___0___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2287973Z     %relu__87 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_87,), kwargs = {})
2025-03-21T20:22:17.2288887Z     %conv2d_88 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__87, %p_getattr_getattr_l__self___features___15___branch2___1___conv_weight, None, [1, 1], [3, 0]), kwargs = {})
2025-03-21T20:22:17.2290890Z     %batch_norm_88 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_88, %p_getattr_getattr_l__self___features___15___branch2___1___bn_weight, %p_getattr_getattr_l__self___features___15___branch2___1___bn_bias, %b_getattr_getattr_l__self___features___15___branch2___1___bn_running_mean, %b_getattr_getattr_l__self___features___15___branch2___1___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2291410Z     %relu__88 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_88,), kwargs = {})
2025-03-21T20:22:17.2292327Z     %conv2d_89 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__88, %p_getattr_getattr_l__self___features___15___branch2___2___conv_weight, None, [1, 1], [0, 3]), kwargs = {})
2025-03-21T20:22:17.2294262Z     %batch_norm_89 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_89, %p_getattr_getattr_l__self___features___15___branch2___2___bn_weight, %p_getattr_getattr_l__self___features___15___branch2___2___bn_bias, %b_getattr_getattr_l__self___features___15___branch2___2___bn_running_mean, %b_getattr_getattr_l__self___features___15___branch2___2___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2294992Z     %relu__89 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_89,), kwargs = {})
2025-03-21T20:22:17.2295912Z     %conv2d_90 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__89, %p_getattr_getattr_l__self___features___15___branch2___3___conv_weight, None, [1, 1], [3, 0]), kwargs = {})
2025-03-21T20:22:17.2297861Z     %batch_norm_90 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_90, %p_getattr_getattr_l__self___features___15___branch2___3___bn_weight, %p_getattr_getattr_l__self___features___15___branch2___3___bn_bias, %b_getattr_getattr_l__self___features___15___branch2___3___bn_running_mean, %b_getattr_getattr_l__self___features___15___branch2___3___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2298470Z     %relu__90 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_90,), kwargs = {})
2025-03-21T20:22:17.2299407Z     %conv2d_91 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__90, %p_getattr_getattr_l__self___features___15___branch2___4___conv_weight, None, [1, 1], [0, 3]), kwargs = {})
2025-03-21T20:22:17.2301435Z     %batch_norm_91 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_91, %p_getattr_getattr_l__self___features___15___branch2___4___bn_weight, %p_getattr_getattr_l__self___features___15___branch2___4___bn_bias, %b_getattr_getattr_l__self___features___15___branch2___4___bn_running_mean, %b_getattr_getattr_l__self___features___15___branch2___4___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2301956Z     %relu__91 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_91,), kwargs = {})
2025-03-21T20:22:17.2302616Z     %avg_pool2d_8 : [num_users=1] = call_function[target=torch.ops.aten.avg_pool2d.default](args = (%cat_11, [3, 3], [1, 1], [1, 1], False, False), kwargs = {})
2025-03-21T20:22:17.2303482Z     %conv2d_92 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%avg_pool2d_8, %p_getattr_getattr_l__self___features___15___branch3___1___conv_weight), kwargs = {})
2025-03-21T20:22:17.2305425Z     %batch_norm_92 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_92, %p_getattr_getattr_l__self___features___15___branch3___1___bn_weight, %p_getattr_getattr_l__self___features___15___branch3___1___bn_bias, %b_getattr_getattr_l__self___features___15___branch3___1___bn_running_mean, %b_getattr_getattr_l__self___features___15___branch3___1___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2305999Z     %relu__92 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_92,), kwargs = {})
2025-03-21T20:22:17.2306611Z     %cat_12 : [num_users=4] = call_function[target=torch.ops.aten.cat.default](args = ([%relu__83, %relu__86, %relu__91, %relu__92], 1), kwargs = {})
2025-03-21T20:22:17.2307376Z     %conv2d_93 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%cat_12, %p_getattr_l__self___features___16___branch0_conv_weight), kwargs = {})
2025-03-21T20:22:17.2309080Z     %batch_norm_93 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_93, %p_getattr_l__self___features___16___branch0_bn_weight, %p_getattr_l__self___features___16___branch0_bn_bias, %b_getattr_l__self___features___16___branch0_bn_running_mean, %b_getattr_l__self___features___16___branch0_bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2309593Z     %relu__93 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_93,), kwargs = {})
2025-03-21T20:22:17.2310535Z     %conv2d_94 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%cat_12, %p_getattr_getattr_l__self___features___16___branch1___0___conv_weight), kwargs = {})
2025-03-21T20:22:17.2312566Z     %batch_norm_94 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_94, %p_getattr_getattr_l__self___features___16___branch1___0___bn_weight, %p_getattr_getattr_l__self___features___16___branch1___0___bn_bias, %b_getattr_getattr_l__self___features___16___branch1___0___bn_running_mean, %b_getattr_getattr_l__self___features___16___branch1___0___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2313100Z     %relu__94 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_94,), kwargs = {})
2025-03-21T20:22:17.2314024Z     %conv2d_95 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__94, %p_getattr_getattr_l__self___features___16___branch1___1___conv_weight, None, [1, 1], [0, 3]), kwargs = {})
2025-03-21T20:22:17.2315988Z     %batch_norm_95 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_95, %p_getattr_getattr_l__self___features___16___branch1___1___bn_weight, %p_getattr_getattr_l__self___features___16___branch1___1___bn_bias, %b_getattr_getattr_l__self___features___16___branch1___1___bn_running_mean, %b_getattr_getattr_l__self___features___16___branch1___1___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2316575Z     %relu__95 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_95,), kwargs = {})
2025-03-21T20:22:17.2317493Z     %conv2d_96 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__95, %p_getattr_getattr_l__self___features___16___branch1___2___conv_weight, None, [1, 1], [3, 0]), kwargs = {})
2025-03-21T20:22:17.2319443Z     %batch_norm_96 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_96, %p_getattr_getattr_l__self___features___16___branch1___2___bn_weight, %p_getattr_getattr_l__self___features___16___branch1___2___bn_bias, %b_getattr_getattr_l__self___features___16___branch1___2___bn_running_mean, %b_getattr_getattr_l__self___features___16___branch1___2___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2319969Z     %relu__96 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_96,), kwargs = {})
2025-03-21T20:22:17.2320881Z     %conv2d_97 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%cat_12, %p_getattr_getattr_l__self___features___16___branch2___0___conv_weight), kwargs = {})
2025-03-21T20:22:17.2322954Z     %batch_norm_97 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_97, %p_getattr_getattr_l__self___features___16___branch2___0___bn_weight, %p_getattr_getattr_l__self___features___16___branch2___0___bn_bias, %b_getattr_getattr_l__self___features___16___branch2___0___bn_running_mean, %b_getattr_getattr_l__self___features___16___branch2___0___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2323524Z     %relu__97 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_97,), kwargs = {})
2025-03-21T20:22:17.2324511Z     %conv2d_98 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__97, %p_getattr_getattr_l__self___features___16___branch2___1___conv_weight, None, [1, 1], [3, 0]), kwargs = {})
2025-03-21T20:22:17.2326547Z     %batch_norm_98 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_98, %p_getattr_getattr_l__self___features___16___branch2___1___bn_weight, %p_getattr_getattr_l__self___features___16___branch2___1___bn_bias, %b_getattr_getattr_l__self___features___16___branch2___1___bn_running_mean, %b_getattr_getattr_l__self___features___16___branch2___1___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2327175Z     %relu__98 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_98,), kwargs = {})
2025-03-21T20:22:17.2328159Z     %conv2d_99 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__98, %p_getattr_getattr_l__self___features___16___branch2___2___conv_weight, None, [1, 1], [0, 3]), kwargs = {})
2025-03-21T20:22:17.2330258Z     %batch_norm_99 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_99, %p_getattr_getattr_l__self___features___16___branch2___2___bn_weight, %p_getattr_getattr_l__self___features___16___branch2___2___bn_bias, %b_getattr_getattr_l__self___features___16___branch2___2___bn_running_mean, %b_getattr_getattr_l__self___features___16___branch2___2___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2330773Z     %relu__99 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_99,), kwargs = {})
2025-03-21T20:22:17.2331760Z     %conv2d_100 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__99, %p_getattr_getattr_l__self___features___16___branch2___3___conv_weight, None, [1, 1], [3, 0]), kwargs = {})
2025-03-21T20:22:17.2333770Z     %batch_norm_100 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_100, %p_getattr_getattr_l__self___features___16___branch2___3___bn_weight, %p_getattr_getattr_l__self___features___16___branch2___3___bn_bias, %b_getattr_getattr_l__self___features___16___branch2___3___bn_running_mean, %b_getattr_getattr_l__self___features___16___branch2___3___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2334307Z     %relu__100 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_100,), kwargs = {})
2025-03-21T20:22:17.2335235Z     %conv2d_101 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__100, %p_getattr_getattr_l__self___features___16___branch2___4___conv_weight, None, [1, 1], [0, 3]), kwargs = {})
2025-03-21T20:22:17.2337205Z     %batch_norm_101 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_101, %p_getattr_getattr_l__self___features___16___branch2___4___bn_weight, %p_getattr_getattr_l__self___features___16___branch2___4___bn_bias, %b_getattr_getattr_l__self___features___16___branch2___4___bn_running_mean, %b_getattr_getattr_l__self___features___16___branch2___4___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2337723Z     %relu__101 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_101,), kwargs = {})
2025-03-21T20:22:17.2338382Z     %avg_pool2d_9 : [num_users=1] = call_function[target=torch.ops.aten.avg_pool2d.default](args = (%cat_12, [3, 3], [1, 1], [1, 1], False, False), kwargs = {})
2025-03-21T20:22:17.2339235Z     %conv2d_102 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%avg_pool2d_9, %p_getattr_getattr_l__self___features___16___branch3___1___conv_weight), kwargs = {})
2025-03-21T20:22:17.2341423Z     %batch_norm_102 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_102, %p_getattr_getattr_l__self___features___16___branch3___1___bn_weight, %p_getattr_getattr_l__self___features___16___branch3___1___bn_bias, %b_getattr_getattr_l__self___features___16___branch3___1___bn_running_mean, %b_getattr_getattr_l__self___features___16___branch3___1___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2341942Z     %relu__102 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_102,), kwargs = {})
2025-03-21T20:22:17.2342557Z     %cat_13 : [num_users=4] = call_function[target=torch.ops.aten.cat.default](args = ([%relu__93, %relu__96, %relu__101, %relu__102], 1), kwargs = {})
2025-03-21T20:22:17.2343345Z     %conv2d_103 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%cat_13, %p_getattr_l__self___features___17___branch0_conv_weight), kwargs = {})
2025-03-21T20:22:17.2345571Z     %batch_norm_103 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_103, %p_getattr_l__self___features___17___branch0_bn_weight, %p_getattr_l__self___features___17___branch0_bn_bias, %b_getattr_l__self___features___17___branch0_bn_running_mean, %b_getattr_l__self___features___17___branch0_bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2346124Z     %relu__103 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_103,), kwargs = {})
2025-03-21T20:22:17.2346959Z     %conv2d_104 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%cat_13, %p_getattr_getattr_l__self___features___17___branch1___0___conv_weight), kwargs = {})
2025-03-21T20:22:17.2349048Z     %batch_norm_104 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_104, %p_getattr_getattr_l__self___features___17___branch1___0___bn_weight, %p_getattr_getattr_l__self___features___17___branch1___0___bn_bias, %b_getattr_getattr_l__self___features___17___branch1___0___bn_running_mean, %b_getattr_getattr_l__self___features___17___branch1___0___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2349590Z     %relu__104 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_104,), kwargs = {})
2025-03-21T20:22:17.2350639Z     %conv2d_105 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__104, %p_getattr_getattr_l__self___features___17___branch1___1___conv_weight, None, [1, 1], [0, 3]), kwargs = {})
2025-03-21T20:22:17.2352695Z     %batch_norm_105 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_105, %p_getattr_getattr_l__self___features___17___branch1___1___bn_weight, %p_getattr_getattr_l__self___features___17___branch1___1___bn_bias, %b_getattr_getattr_l__self___features___17___branch1___1___bn_running_mean, %b_getattr_getattr_l__self___features___17___branch1___1___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2353236Z     %relu__105 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_105,), kwargs = {})
2025-03-21T20:22:17.2354164Z     %conv2d_106 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__105, %p_getattr_getattr_l__self___features___17___branch1___2___conv_weight, None, [1, 1], [3, 0]), kwargs = {})
2025-03-21T20:22:17.2356125Z     %batch_norm_106 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_106, %p_getattr_getattr_l__self___features___17___branch1___2___bn_weight, %p_getattr_getattr_l__self___features___17___branch1___2___bn_bias, %b_getattr_getattr_l__self___features___17___branch1___2___bn_running_mean, %b_getattr_getattr_l__self___features___17___branch1___2___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2356646Z     %relu__106 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_106,), kwargs = {})
2025-03-21T20:22:17.2357483Z     %conv2d_107 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%cat_13, %p_getattr_getattr_l__self___features___17___branch2___0___conv_weight), kwargs = {})
2025-03-21T20:22:17.2359531Z     %batch_norm_107 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_107, %p_getattr_getattr_l__self___features___17___branch2___0___bn_weight, %p_getattr_getattr_l__self___features___17___branch2___0___bn_bias, %b_getattr_getattr_l__self___features___17___branch2___0___bn_running_mean, %b_getattr_getattr_l__self___features___17___branch2___0___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2360114Z     %relu__107 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_107,), kwargs = {})
2025-03-21T20:22:17.2361176Z     %conv2d_108 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__107, %p_getattr_getattr_l__self___features___17___branch2___1___conv_weight, None, [1, 1], [3, 0]), kwargs = {})
2025-03-21T20:22:17.2363374Z     %batch_norm_108 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_108, %p_getattr_getattr_l__self___features___17___branch2___1___bn_weight, %p_getattr_getattr_l__self___features___17___branch2___1___bn_bias, %b_getattr_getattr_l__self___features___17___branch2___1___bn_running_mean, %b_getattr_getattr_l__self___features___17___branch2___1___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2363907Z     %relu__108 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_108,), kwargs = {})
2025-03-21T20:22:17.2364846Z     %conv2d_109 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__108, %p_getattr_getattr_l__self___features___17___branch2___2___conv_weight, None, [1, 1], [0, 3]), kwargs = {})
2025-03-21T20:22:17.2366916Z     %batch_norm_109 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_109, %p_getattr_getattr_l__self___features___17___branch2___2___bn_weight, %p_getattr_getattr_l__self___features___17___branch2___2___bn_bias, %b_getattr_getattr_l__self___features___17___branch2___2___bn_running_mean, %b_getattr_getattr_l__self___features___17___branch2___2___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2367450Z     %relu__109 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_109,), kwargs = {})
2025-03-21T20:22:17.2368426Z     %conv2d_110 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__109, %p_getattr_getattr_l__self___features___17___branch2___3___conv_weight, None, [1, 1], [3, 0]), kwargs = {})
2025-03-21T20:22:17.2370464Z     %batch_norm_110 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_110, %p_getattr_getattr_l__self___features___17___branch2___3___bn_weight, %p_getattr_getattr_l__self___features___17___branch2___3___bn_bias, %b_getattr_getattr_l__self___features___17___branch2___3___bn_running_mean, %b_getattr_getattr_l__self___features___17___branch2___3___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2371044Z     %relu__110 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_110,), kwargs = {})
2025-03-21T20:22:17.2372039Z     %conv2d_111 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__110, %p_getattr_getattr_l__self___features___17___branch2___4___conv_weight, None, [1, 1], [0, 3]), kwargs = {})
2025-03-21T20:22:17.2374092Z     %batch_norm_111 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_111, %p_getattr_getattr_l__self___features___17___branch2___4___bn_weight, %p_getattr_getattr_l__self___features___17___branch2___4___bn_bias, %b_getattr_getattr_l__self___features___17___branch2___4___bn_running_mean, %b_getattr_getattr_l__self___features___17___branch2___4___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2374635Z     %relu__111 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_111,), kwargs = {})
2025-03-21T20:22:17.2375377Z     %avg_pool2d_10 : [num_users=1] = call_function[target=torch.ops.aten.avg_pool2d.default](args = (%cat_13, [3, 3], [1, 1], [1, 1], False, False), kwargs = {})
2025-03-21T20:22:17.2376248Z     %conv2d_112 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%avg_pool2d_10, %p_getattr_getattr_l__self___features___17___branch3___1___conv_weight), kwargs = {})
2025-03-21T20:22:17.2378342Z     %batch_norm_112 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_112, %p_getattr_getattr_l__self___features___17___branch3___1___bn_weight, %p_getattr_getattr_l__self___features___17___branch3___1___bn_bias, %b_getattr_getattr_l__self___features___17___branch3___1___bn_running_mean, %b_getattr_getattr_l__self___features___17___branch3___1___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2379148Z     %relu__112 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_112,), kwargs = {})
2025-03-21T20:22:17.2379781Z     %cat_14 : [num_users=3] = call_function[target=torch.ops.aten.cat.default](args = ([%relu__103, %relu__106, %relu__111, %relu__112], 1), kwargs = {})
2025-03-21T20:22:17.2380669Z     %conv2d_113 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%cat_14, %p_getattr_getattr_l__self___features___18___branch0___0___conv_weight), kwargs = {})
2025-03-21T20:22:17.2382724Z     %batch_norm_113 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_113, %p_getattr_getattr_l__self___features___18___branch0___0___bn_weight, %p_getattr_getattr_l__self___features___18___branch0___0___bn_bias, %b_getattr_getattr_l__self___features___18___branch0___0___bn_running_mean, %b_getattr_getattr_l__self___features___18___branch0___0___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2383338Z     %relu__113 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_113,), kwargs = {})
2025-03-21T20:22:17.2384240Z     %conv2d_114 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__113, %p_getattr_getattr_l__self___features___18___branch0___1___conv_weight, None, [2, 2]), kwargs = {})
2025-03-21T20:22:17.2386198Z     %batch_norm_114 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_114, %p_getattr_getattr_l__self___features___18___branch0___1___bn_weight, %p_getattr_getattr_l__self___features___18___branch0___1___bn_bias, %b_getattr_getattr_l__self___features___18___branch0___1___bn_running_mean, %b_getattr_getattr_l__self___features___18___branch0___1___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2386801Z     %relu__114 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_114,), kwargs = {})
2025-03-21T20:22:17.2387681Z     %conv2d_115 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%cat_14, %p_getattr_getattr_l__self___features___18___branch1___0___conv_weight), kwargs = {})
2025-03-21T20:22:17.2389809Z     %batch_norm_115 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_115, %p_getattr_getattr_l__self___features___18___branch1___0___bn_weight, %p_getattr_getattr_l__self___features___18___branch1___0___bn_bias, %b_getattr_getattr_l__self___features___18___branch1___0___bn_running_mean, %b_getattr_getattr_l__self___features___18___branch1___0___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2390446Z     %relu__115 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_115,), kwargs = {})
2025-03-21T20:22:17.2391490Z     %conv2d_116 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__115, %p_getattr_getattr_l__self___features___18___branch1___1___conv_weight, None, [1, 1], [0, 3]), kwargs = {})
2025-03-21T20:22:17.2393602Z     %batch_norm_116 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_116, %p_getattr_getattr_l__self___features___18___branch1___1___bn_weight, %p_getattr_getattr_l__self___features___18___branch1___1___bn_bias, %b_getattr_getattr_l__self___features___18___branch1___1___bn_running_mean, %b_getattr_getattr_l__self___features___18___branch1___1___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2394216Z     %relu__116 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_116,), kwargs = {})
2025-03-21T20:22:17.2395326Z     %conv2d_117 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__116, %p_getattr_getattr_l__self___features___18___branch1___2___conv_weight, None, [1, 1], [3, 0]), kwargs = {})
2025-03-21T20:22:17.2397729Z     %batch_norm_117 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_117, %p_getattr_getattr_l__self___features___18___branch1___2___bn_weight, %p_getattr_getattr_l__self___features___18___branch1___2___bn_bias, %b_getattr_getattr_l__self___features___18___branch1___2___bn_running_mean, %b_getattr_getattr_l__self___features___18___branch1___2___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2398350Z     %relu__117 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_117,), kwargs = {})
2025-03-21T20:22:17.2399273Z     %conv2d_118 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__117, %p_getattr_getattr_l__self___features___18___branch1___3___conv_weight, None, [2, 2]), kwargs = {})
2025-03-21T20:22:17.2401385Z     %batch_norm_118 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_118, %p_getattr_getattr_l__self___features___18___branch1___3___bn_weight, %p_getattr_getattr_l__self___features___18___branch1___3___bn_bias, %b_getattr_getattr_l__self___features___18___branch1___3___bn_running_mean, %b_getattr_getattr_l__self___features___18___branch1___3___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2401994Z     %relu__118 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_118,), kwargs = {})
2025-03-21T20:22:17.2402638Z     %max_pool2d_3 : [num_users=1] = call_function[target=torch.ops.aten.max_pool2d.default](args = (%cat_14, [3, 3], [2, 2]), kwargs = {})
2025-03-21T20:22:17.2403294Z     %cat_15 : [num_users=4] = call_function[target=torch.ops.aten.cat.default](args = ([%relu__114, %relu__118, %max_pool2d_3], 1), kwargs = {})
2025-03-21T20:22:17.2404102Z     %conv2d_119 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%cat_15, %p_getattr_l__self___features___19___branch0_conv_weight), kwargs = {})
2025-03-21T20:22:17.2406004Z     %batch_norm_119 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_119, %p_getattr_l__self___features___19___branch0_bn_weight, %p_getattr_l__self___features___19___branch0_bn_bias, %b_getattr_l__self___features___19___branch0_bn_running_mean, %b_getattr_l__self___features___19___branch0_bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2406529Z     %relu__119 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_119,), kwargs = {})
2025-03-21T20:22:17.2407373Z     %conv2d_120 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%cat_15, %p_getattr_l__self___features___19___branch1_0_conv_weight), kwargs = {})
2025-03-21T20:22:17.2409261Z     %batch_norm_120 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_120, %p_getattr_l__self___features___19___branch1_0_bn_weight, %p_getattr_l__self___features___19___branch1_0_bn_bias, %b_getattr_l__self___features___19___branch1_0_bn_running_mean, %b_getattr_l__self___features___19___branch1_0_bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2409799Z     %relu__120 : [num_users=2] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_120,), kwargs = {})
2025-03-21T20:22:17.2410682Z     %conv2d_121 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__120, %p_getattr_l__self___features___19___branch1_1a_conv_weight, None, [1, 1], [0, 1]), kwargs = {})
2025-03-21T20:22:17.2412679Z     %batch_norm_121 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_121, %p_getattr_l__self___features___19___branch1_1a_bn_weight, %p_getattr_l__self___features___19___branch1_1a_bn_bias, %b_getattr_l__self___features___19___branch1_1a_bn_running_mean, %b_getattr_l__self___features___19___branch1_1a_bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2413538Z     %relu__121 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_121,), kwargs = {})
2025-03-21T20:22:17.2414656Z     %conv2d_122 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__120, %p_getattr_l__self___features___19___branch1_1b_conv_weight, None, [1, 1], [1, 0]), kwargs = {})
2025-03-21T20:22:17.2416651Z     %batch_norm_122 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_122, %p_getattr_l__self___features___19___branch1_1b_bn_weight, %p_getattr_l__self___features___19___branch1_1b_bn_bias, %b_getattr_l__self___features___19___branch1_1b_bn_running_mean, %b_getattr_l__self___features___19___branch1_1b_bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2417324Z     %relu__122 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_122,), kwargs = {})
2025-03-21T20:22:17.2418006Z     %cat_16 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%relu__121, %relu__122], 1), kwargs = {})
2025-03-21T20:22:17.2418857Z     %conv2d_123 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%cat_15, %p_getattr_l__self___features___19___branch2_0_conv_weight), kwargs = {})
2025-03-21T20:22:17.2420680Z     %batch_norm_123 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_123, %p_getattr_l__self___features___19___branch2_0_bn_weight, %p_getattr_l__self___features___19___branch2_0_bn_bias, %b_getattr_l__self___features___19___branch2_0_bn_running_mean, %b_getattr_l__self___features___19___branch2_0_bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2421210Z     %relu__123 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_123,), kwargs = {})
2025-03-21T20:22:17.2422165Z     %conv2d_124 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__123, %p_getattr_l__self___features___19___branch2_1_conv_weight, None, [1, 1], [1, 0]), kwargs = {})
2025-03-21T20:22:17.2424030Z     %batch_norm_124 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_124, %p_getattr_l__self___features___19___branch2_1_bn_weight, %p_getattr_l__self___features___19___branch2_1_bn_bias, %b_getattr_l__self___features___19___branch2_1_bn_running_mean, %b_getattr_l__self___features___19___branch2_1_bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2424556Z     %relu__124 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_124,), kwargs = {})
2025-03-21T20:22:17.2425489Z     %conv2d_125 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__124, %p_getattr_l__self___features___19___branch2_2_conv_weight, None, [1, 1], [0, 1]), kwargs = {})
2025-03-21T20:22:17.2427237Z     %batch_norm_125 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_125, %p_getattr_l__self___features___19___branch2_2_bn_weight, %p_getattr_l__self___features___19___branch2_2_bn_bias, %b_getattr_l__self___features___19___branch2_2_bn_running_mean, %b_getattr_l__self___features___19___branch2_2_bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2427819Z     %relu__125 : [num_users=2] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_125,), kwargs = {})
2025-03-21T20:22:17.2428755Z     %conv2d_126 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__125, %p_getattr_l__self___features___19___branch2_3a_conv_weight, None, [1, 1], [0, 1]), kwargs = {})
2025-03-21T20:22:17.2430656Z     %batch_norm_126 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_126, %p_getattr_l__self___features___19___branch2_3a_bn_weight, %p_getattr_l__self___features___19___branch2_3a_bn_bias, %b_getattr_l__self___features___19___branch2_3a_bn_running_mean, %b_getattr_l__self___features___19___branch2_3a_bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2431503Z     %relu__126 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_126,), kwargs = {})
2025-03-21T20:22:17.2432390Z     %conv2d_127 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__125, %p_getattr_l__self___features___19___branch2_3b_conv_weight, None, [1, 1], [1, 0]), kwargs = {})
2025-03-21T20:22:17.2434237Z     %batch_norm_127 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_127, %p_getattr_l__self___features___19___branch2_3b_bn_weight, %p_getattr_l__self___features___19___branch2_3b_bn_bias, %b_getattr_l__self___features___19___branch2_3b_bn_running_mean, %b_getattr_l__self___features___19___branch2_3b_bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2434757Z     %relu__127 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_127,), kwargs = {})
2025-03-21T20:22:17.2435402Z     %cat_17 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%relu__126, %relu__127], 1), kwargs = {})
2025-03-21T20:22:17.2436075Z     %avg_pool2d_11 : [num_users=1] = call_function[target=torch.ops.aten.avg_pool2d.default](args = (%cat_15, [3, 3], [1, 1], [1, 1], False, False), kwargs = {})
2025-03-21T20:22:17.2437046Z     %conv2d_128 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%avg_pool2d_11, %p_getattr_getattr_l__self___features___19___branch3___1___conv_weight), kwargs = {})
2025-03-21T20:22:17.2439011Z     %batch_norm_128 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_128, %p_getattr_getattr_l__self___features___19___branch3___1___bn_weight, %p_getattr_getattr_l__self___features___19___branch3___1___bn_bias, %b_getattr_getattr_l__self___features___19___branch3___1___bn_running_mean, %b_getattr_getattr_l__self___features___19___branch3___1___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2439658Z     %relu__128 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_128,), kwargs = {})
2025-03-21T20:22:17.2440575Z     %cat_18 : [num_users=4] = call_function[target=torch.ops.aten.cat.default](args = ([%relu__119, %cat_16, %cat_17, %relu__128], 1), kwargs = {})
2025-03-21T20:22:17.2441416Z     %conv2d_129 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%cat_18, %p_getattr_l__self___features___20___branch0_conv_weight), kwargs = {})
2025-03-21T20:22:17.2443206Z     %batch_norm_129 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_129, %p_getattr_l__self___features___20___branch0_bn_weight, %p_getattr_l__self___features___20___branch0_bn_bias, %b_getattr_l__self___features___20___branch0_bn_running_mean, %b_getattr_l__self___features___20___branch0_bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2443843Z     %relu__129 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_129,), kwargs = {})
2025-03-21T20:22:17.2444678Z     %conv2d_130 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%cat_18, %p_getattr_l__self___features___20___branch1_0_conv_weight), kwargs = {})
2025-03-21T20:22:17.2446521Z     %batch_norm_130 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_130, %p_getattr_l__self___features___20___branch1_0_bn_weight, %p_getattr_l__self___features___20___branch1_0_bn_bias, %b_getattr_l__self___features___20___branch1_0_bn_running_mean, %b_getattr_l__self___features___20___branch1_0_bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2447045Z     %relu__130 : [num_users=2] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_130,), kwargs = {})
2025-03-21T20:22:17.2448224Z     %conv2d_131 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__130, %p_getattr_l__self___features___20___branch1_1a_conv_weight, None, [1, 1], [0, 1]), kwargs = {})
2025-03-21T20:22:17.2450117Z     %batch_norm_131 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_131, %p_getattr_l__self___features___20___branch1_1a_bn_weight, %p_getattr_l__self___features___20___branch1_1a_bn_bias, %b_getattr_l__self___features___20___branch1_1a_bn_running_mean, %b_getattr_l__self___features___20___branch1_1a_bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2450652Z     %relu__131 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_131,), kwargs = {})
2025-03-21T20:22:17.2451530Z     %conv2d_132 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__130, %p_getattr_l__self___features___20___branch1_1b_conv_weight, None, [1, 1], [1, 0]), kwargs = {})
2025-03-21T20:22:17.2453433Z     %batch_norm_132 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_132, %p_getattr_l__self___features___20___branch1_1b_bn_weight, %p_getattr_l__self___features___20___branch1_1b_bn_bias, %b_getattr_l__self___features___20___branch1_1b_bn_running_mean, %b_getattr_l__self___features___20___branch1_1b_bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2454002Z     %relu__132 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_132,), kwargs = {})
2025-03-21T20:22:17.2454545Z     %cat_19 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%relu__131, %relu__132], 1), kwargs = {})
2025-03-21T20:22:17.2455306Z     %conv2d_133 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%cat_18, %p_getattr_l__self___features___20___branch2_0_conv_weight), kwargs = {})
2025-03-21T20:22:17.2457041Z     %batch_norm_133 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_133, %p_getattr_l__self___features___20___branch2_0_bn_weight, %p_getattr_l__self___features___20___branch2_0_bn_bias, %b_getattr_l__self___features___20___branch2_0_bn_running_mean, %b_getattr_l__self___features___20___branch2_0_bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2457561Z     %relu__133 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_133,), kwargs = {})
2025-03-21T20:22:17.2458438Z     %conv2d_134 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__133, %p_getattr_l__self___features___20___branch2_1_conv_weight, None, [1, 1], [1, 0]), kwargs = {})
2025-03-21T20:22:17.2460326Z     %batch_norm_134 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_134, %p_getattr_l__self___features___20___branch2_1_bn_weight, %p_getattr_l__self___features___20___branch2_1_bn_bias, %b_getattr_l__self___features___20___branch2_1_bn_running_mean, %b_getattr_l__self___features___20___branch2_1_bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2460912Z     %relu__134 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_134,), kwargs = {})
2025-03-21T20:22:17.2461897Z     %conv2d_135 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__134, %p_getattr_l__self___features___20___branch2_2_conv_weight, None, [1, 1], [0, 1]), kwargs = {})
2025-03-21T20:22:17.2463644Z     %batch_norm_135 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_135, %p_getattr_l__self___features___20___branch2_2_bn_weight, %p_getattr_l__self___features___20___branch2_2_bn_bias, %b_getattr_l__self___features___20___branch2_2_bn_running_mean, %b_getattr_l__self___features___20___branch2_2_bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2464166Z     %relu__135 : [num_users=2] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_135,), kwargs = {})
2025-03-21T20:22:17.2465258Z     %conv2d_136 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__135, %p_getattr_l__self___features___20___branch2_3a_conv_weight, None, [1, 1], [0, 1]), kwargs = {})
2025-03-21T20:22:17.2467104Z     %batch_norm_136 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_136, %p_getattr_l__self___features___20___branch2_3a_bn_weight, %p_getattr_l__self___features___20___branch2_3a_bn_bias, %b_getattr_l__self___features___20___branch2_3a_bn_running_mean, %b_getattr_l__self___features___20___branch2_3a_bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2467632Z     %relu__136 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_136,), kwargs = {})
2025-03-21T20:22:17.2468650Z     %conv2d_137 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__135, %p_getattr_l__self___features___20___branch2_3b_conv_weight, None, [1, 1], [1, 0]), kwargs = {})
2025-03-21T20:22:17.2470415Z     %batch_norm_137 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_137, %p_getattr_l__self___features___20___branch2_3b_bn_weight, %p_getattr_l__self___features___20___branch2_3b_bn_bias, %b_getattr_l__self___features___20___branch2_3b_bn_running_mean, %b_getattr_l__self___features___20___branch2_3b_bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2470932Z     %relu__137 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_137,), kwargs = {})
2025-03-21T20:22:17.2471471Z     %cat_20 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%relu__136, %relu__137], 1), kwargs = {})
2025-03-21T20:22:17.2472155Z     %avg_pool2d_12 : [num_users=1] = call_function[target=torch.ops.aten.avg_pool2d.default](args = (%cat_18, [3, 3], [1, 1], [1, 1], False, False), kwargs = {})
2025-03-21T20:22:17.2473153Z     %conv2d_138 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%avg_pool2d_12, %p_getattr_getattr_l__self___features___20___branch3___1___conv_weight), kwargs = {})
2025-03-21T20:22:17.2475203Z     %batch_norm_138 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_138, %p_getattr_getattr_l__self___features___20___branch3___1___bn_weight, %p_getattr_getattr_l__self___features___20___branch3___1___bn_bias, %b_getattr_getattr_l__self___features___20___branch3___1___bn_running_mean, %b_getattr_getattr_l__self___features___20___branch3___1___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2475739Z     %relu__138 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_138,), kwargs = {})
2025-03-21T20:22:17.2476337Z     %cat_21 : [num_users=4] = call_function[target=torch.ops.aten.cat.default](args = ([%relu__129, %cat_19, %cat_20, %relu__138], 1), kwargs = {})
2025-03-21T20:22:17.2477111Z     %conv2d_139 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%cat_21, %p_getattr_l__self___features___21___branch0_conv_weight), kwargs = {})
2025-03-21T20:22:17.2478837Z     %batch_norm_139 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_139, %p_getattr_l__self___features___21___branch0_bn_weight, %p_getattr_l__self___features___21___branch0_bn_bias, %b_getattr_l__self___features___21___branch0_bn_running_mean, %b_getattr_l__self___features___21___branch0_bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2490347Z     %relu__139 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_139,), kwargs = {})
2025-03-21T20:22:17.2491472Z     %conv2d_140 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%cat_21, %p_getattr_l__self___features___21___branch1_0_conv_weight), kwargs = {})
2025-03-21T20:22:17.2493501Z     %batch_norm_140 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_140, %p_getattr_l__self___features___21___branch1_0_bn_weight, %p_getattr_l__self___features___21___branch1_0_bn_bias, %b_getattr_l__self___features___21___branch1_0_bn_running_mean, %b_getattr_l__self___features___21___branch1_0_bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2494242Z     %relu__140 : [num_users=2] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_140,), kwargs = {})
2025-03-21T20:22:17.2495122Z     %conv2d_141 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__140, %p_getattr_l__self___features___21___branch1_1a_conv_weight, None, [1, 1], [0, 1]), kwargs = {})
2025-03-21T20:22:17.2497082Z     %batch_norm_141 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_141, %p_getattr_l__self___features___21___branch1_1a_bn_weight, %p_getattr_l__self___features___21___branch1_1a_bn_bias, %b_getattr_l__self___features___21___branch1_1a_bn_running_mean, %b_getattr_l__self___features___21___branch1_1a_bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2497660Z     %relu__141 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_141,), kwargs = {})
2025-03-21T20:22:17.2498716Z     %conv2d_142 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__140, %p_getattr_l__self___features___21___branch1_1b_conv_weight, None, [1, 1], [1, 0]), kwargs = {})
2025-03-21T20:22:17.2500473Z     %batch_norm_142 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_142, %p_getattr_l__self___features___21___branch1_1b_bn_weight, %p_getattr_l__self___features___21___branch1_1b_bn_bias, %b_getattr_l__self___features___21___branch1_1b_bn_running_mean, %b_getattr_l__self___features___21___branch1_1b_bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2501050Z     %relu__142 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_142,), kwargs = {})
2025-03-21T20:22:17.2501752Z     %cat_22 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%relu__141, %relu__142], 1), kwargs = {})
2025-03-21T20:22:17.2502539Z     %conv2d_143 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%cat_21, %p_getattr_l__self___features___21___branch2_0_conv_weight), kwargs = {})
2025-03-21T20:22:17.2504411Z     %batch_norm_143 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_143, %p_getattr_l__self___features___21___branch2_0_bn_weight, %p_getattr_l__self___features___21___branch2_0_bn_bias, %b_getattr_l__self___features___21___branch2_0_bn_running_mean, %b_getattr_l__self___features___21___branch2_0_bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2504942Z     %relu__143 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_143,), kwargs = {})
2025-03-21T20:22:17.2505822Z     %conv2d_144 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__143, %p_getattr_l__self___features___21___branch2_1_conv_weight, None, [1, 1], [1, 0]), kwargs = {})
2025-03-21T20:22:17.2507576Z     %batch_norm_144 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_144, %p_getattr_l__self___features___21___branch2_1_bn_weight, %p_getattr_l__self___features___21___branch2_1_bn_bias, %b_getattr_l__self___features___21___branch2_1_bn_running_mean, %b_getattr_l__self___features___21___branch2_1_bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2508203Z     %relu__144 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_144,), kwargs = {})
2025-03-21T20:22:17.2509147Z     %conv2d_145 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__144, %p_getattr_l__self___features___21___branch2_2_conv_weight, None, [1, 1], [0, 1]), kwargs = {})
2025-03-21T20:22:17.2511215Z     %batch_norm_145 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_145, %p_getattr_l__self___features___21___branch2_2_bn_weight, %p_getattr_l__self___features___21___branch2_2_bn_bias, %b_getattr_l__self___features___21___branch2_2_bn_running_mean, %b_getattr_l__self___features___21___branch2_2_bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2511774Z     %relu__145 : [num_users=2] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_145,), kwargs = {})
2025-03-21T20:22:17.2512740Z     %conv2d_146 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__145, %p_getattr_l__self___features___21___branch2_3a_conv_weight, None, [1, 1], [0, 1]), kwargs = {})
2025-03-21T20:22:17.2514614Z     %batch_norm_146 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_146, %p_getattr_l__self___features___21___branch2_3a_bn_weight, %p_getattr_l__self___features___21___branch2_3a_bn_bias, %b_getattr_l__self___features___21___branch2_3a_bn_running_mean, %b_getattr_l__self___features___21___branch2_3a_bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:17.2515244Z     %relu__146 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_146,), kwargs = {})
2025-03-21T20:22:17.2516179Z     %conv2d_147 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%relu__145, %p_getattr_l__self___features___21___branch2_3b_conv_weight, None, [1, 1], [1, 0]), kwargs = {})
2025-03-21T20:22:17.2518058Z     %batch_norm_147 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_147, %p_getattr_l__self___features___21___branch2_3b_bn_weight, %p_getattr_l__self___features___21___branch2_3b_bn_bias, %b_getattr_l__self___features___21___branch2_3b_bn_running_mean, %b_getattr_l__self___features___21___branch2_3b_bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:32.2819594Z     %relu__147 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_147,), kwargs = {})
2025-03-21T20:22:32.2821079Z     %cat_23 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%relu__146, %relu__147], 1), kwargs = {})
2025-03-21T20:22:32.2824265Z     %avg_pool2d_13 : [num_users=1] = call_function[target=torch.ops.aten.avg_pool2d.default](args = (%cat_21, [3, 3], [1, 1], [1, 1], False, False), kwargs = {})
2025-03-21T20:22:32.2826060Z     %conv2d_148 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%avg_pool2d_13, %p_getattr_getattr_l__self___features___21___branch3___1___conv_weight), kwargs = {})
2025-03-21T20:22:32.2829288Z     %batch_norm_148 : [num_users=1] = call_function[target=torch.ops.aten.batch_norm.default](args = (%conv2d_148, %p_getattr_getattr_l__self___features___21___branch3___1___bn_weight, %p_getattr_getattr_l__self___features___21___branch3___1___bn_bias, %b_getattr_getattr_l__self___features___21___branch3___1___bn_running_mean, %b_getattr_getattr_l__self___features___21___branch3___1___bn_running_var, False, 0.1, 0.001, True), kwargs = {})
2025-03-21T20:22:32.2832095Z     %relu__148 : [num_users=1] = call_function[target=torch.ops.aten.relu_.default](args = (%batch_norm_148,), kwargs = {})
2025-03-21T20:22:32.2833411Z     %cat_24 : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%relu__139, %cat_22, %cat_23, %relu__148], 1), kwargs = {})
2025-03-21T20:22:32.2834820Z     %adaptive_avg_pool2d : [num_users=1] = call_function[target=torch.ops.aten.adaptive_avg_pool2d.default](args = (%cat_24, [1, 1]), kwargs = {})
2025-03-21T20:22:32.2836214Z     %flatten : [num_users=1] = call_function[target=torch.ops.aten.flatten.using_ints](args = (%adaptive_avg_pool2d, 1), kwargs = {})
2025-03-21T20:22:32.2837510Z     %dropout : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%flatten, 0.0, False), kwargs = {})
2025-03-21T20:22:32.2839530Z     %linear : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%dropout, %p_last_linear_weight, %p_last_linear_bias), kwargs = {})
2025-03-21T20:22:32.2840714Z     return (linear,)
2025-03-21T20:22:32.2842787Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/backends/mkldnn/__init__.py:78: UserWarning: TF32 acceleration on top of oneDNN is available for Intel GPUs. The current Torch version does not have Intel GPU Support. (Triggered internally at /pytorch/aten/src/ATen/Context.cpp:148.)
2025-03-21T20:22:32.2844701Z   torch._C._set_onednn_allow_tf32(_allow_tf32)
2025-03-21T20:22:32.2845260Z [INFO 2025-03-21 20:22:32,280 utils.py:70] Exported graph:
2025-03-21T20:22:32.2845911Z ExportedProgram:
2025-03-21T20:22:32.2846302Z     class GraphModule(torch.nn.Module):
2025-03-21T20:22:32.3012457Z         def forward(self, p_features_0_bn_weight: "f32[32]", p_features_0_bn_bias: "f32[32]", p_features_0_conv_weight: "f32[32, 3, 3, 3]", p_features_1_bn_weight: "f32[32]", p_features_1_bn_bias: "f32[32]", p_features_1_conv_weight: "f32[32, 32, 3, 3]", p_features_2_bn_weight: "f32[64]", p_features_2_bn_bias: "f32[64]", p_features_2_conv_weight: "f32[64, 32, 3, 3]", p_features_3_conv_bn_weight: "f32[96]", p_features_3_conv_bn_bias: "f32[96]", p_features_3_conv_conv_weight: "f32[96, 64, 3, 3]", p_features_4_branch0_0_bn_weight: "f32[64]", p_features_4_branch0_0_bn_bias: "f32[64]", p_features_4_branch0_0_conv_weight: "f32[64, 160, 1, 1]", p_features_4_branch0_1_bn_weight: "f32[96]", p_features_4_branch0_1_bn_bias: "f32[96]", p_features_4_branch0_1_conv_weight: "f32[96, 64, 3, 3]", p_features_4_branch1_0_bn_weight: "f32[64]", p_features_4_branch1_0_bn_bias: "f32[64]", p_features_4_branch1_0_conv_weight: "f32[64, 160, 1, 1]", p_features_4_branch1_1_bn_weight: "f32[64]", p_features_4_branch1_1_bn_bias: "f32[64]", p_features_4_branch1_1_conv_weight: "f32[64, 64, 1, 7]", p_features_4_branch1_2_bn_weight: "f32[64]", p_features_4_branch1_2_bn_bias: "f32[64]", p_features_4_branch1_2_conv_weight: "f32[64, 64, 7, 1]", p_features_4_branch1_3_bn_weight: "f32[96]", p_features_4_branch1_3_bn_bias: "f32[96]", p_features_4_branch1_3_conv_weight: "f32[96, 64, 3, 3]", p_features_5_conv_bn_weight: "f32[192]", p_features_5_conv_bn_bias: "f32[192]", p_features_5_conv_conv_weight: "f32[192, 192, 3, 3]", p_features_6_branch0_bn_weight: "f32[96]", p_features_6_branch0_bn_bias: "f32[96]", p_features_6_branch0_conv_weight: "f32[96, 384, 1, 1]", p_features_6_branch1_0_bn_weight: "f32[64]", p_features_6_branch1_0_bn_bias: "f32[64]", p_features_6_branch1_0_conv_weight: "f32[64, 384, 1, 1]", p_features_6_branch1_1_bn_weight: "f32[96]", p_features_6_branch1_1_bn_bias: "f32[96]", p_features_6_branch1_1_conv_weight: "f32[96, 64, 3, 3]", p_features_6_branch2_0_bn_weight: "f32[64]", p_features_6_branch2_0_bn_bias: "f32[64]", p_features_6_branch2_0_conv_weight: "f32[64, 384, 1, 1]", p_features_6_branch2_1_bn_weight: "f32[96]", p_features_6_branch2_1_bn_bias: "f32[96]", p_features_6_branch2_1_conv_weight: "f32[96, 64, 3, 3]", p_features_6_branch2_2_bn_weight: "f32[96]", p_features_6_branch2_2_bn_bias: "f32[96]", p_features_6_branch2_2_conv_weight: "f32[96, 96, 3, 3]", p_features_6_branch3_1_bn_weight: "f32[96]", p_features_6_branch3_1_bn_bias: "f32[96]", p_features_6_branch3_1_conv_weight: "f32[96, 384, 1, 1]", p_features_7_branch0_bn_weight: "f32[96]", p_features_7_branch0_bn_bias: "f32[96]", p_features_7_branch0_conv_weight: "f32[96, 384, 1, 1]", p_features_7_branch1_0_bn_weight: "f32[64]", p_features_7_branch1_0_bn_bias: "f32[64]", p_features_7_branch1_0_conv_weight: "f32[64, 384, 1, 1]", p_features_7_branch1_1_bn_weight: "f32[96]", p_features_7_branch1_1_bn_bias: "f32[96]", p_features_7_branch1_1_conv_weight: "f32[96, 64, 3, 3]", p_features_7_branch2_0_bn_weight: "f32[64]", p_features_7_branch2_0_bn_bias: "f32[64]", p_features_7_branch2_0_conv_weight: "f32[64, 384, 1, 1]", p_features_7_branch2_1_bn_weight: "f32[96]", p_features_7_branch2_1_bn_bias: "f32[96]", p_features_7_branch2_1_conv_weight: "f32[96, 64, 3, 3]", p_features_7_branch2_2_bn_weight: "f32[96]", p_features_7_branch2_2_bn_bias: "f32[96]", p_features_7_branch2_2_conv_weight: "f32[96, 96, 3, 3]", p_features_7_branch3_1_bn_weight: "f32[96]", p_features_7_branch3_1_bn_bias: "f32[96]", p_features_7_branch3_1_conv_weight: "f32[96, 384, 1, 1]", p_features_8_branch0_bn_weight: "f32[96]", p_features_8_branch0_bn_bias: "f32[96]", p_features_8_branch0_conv_weight: "f32[96, 384, 1, 1]", p_features_8_branch1_0_bn_weight: "f32[64]", p_features_8_branch1_0_bn_bias: "f32[64]", p_features_8_branch1_0_conv_weight: "f32[64, 384, 1, 1]", p_features_8_branch1_1_bn_weight: "f32[96]", p_features_8_branch1_1_bn_bias: "f32[96]", p_features_8_branch1_1_conv_weight: "f32[96, 64, 3, 3]", p_features_8_branch2_0_bn_weight: "f32[64]", p_features_8_branch2_0_bn_bias: "f32[64]", p_features_8_branch2_0_conv_weight: "f32[64, 384, 1, 1]", p_features_8_branch2_1_bn_weight: "f32[96]", p_features_8_branch2_1_bn_bias: "f32[96]", p_features_8_branch2_1_conv_weight: "f32[96, 64, 3, 3]", p_features_8_branch2_2_bn_weight: "f32[96]", p_features_8_branch2_2_bn_bias: "f32[96]", p_features_8_branch2_2_conv_weight: "f32[96, 96, 3, 3]", p_features_8_branch3_1_bn_weight: "f32[96]", p_features_8_branch3_1_bn_bias: "f32[96]", p_features_8_branch3_1_conv_weight: "f32[96, 384, 1, 1]", p_features_9_branch0_bn_weight: "f32[96]", p_features_9_branch0_bn_bias: "f32[96]", p_features_9_branch0_conv_weight: "f32[96, 384, 1, 1]", p_features_9_branch1_0_bn_weight: "f32[64]", p_features_9_branch1_0_bn_bias: "f32[64]", p_features_9_branch1_0_conv_weight: "f32[64, 384, 1, 1]", p_features_9_branch1_1_bn_weight: "f32[96]", p_features_9_branch1_1_bn_bias: "f32[96]", p_features_9_branch1_1_conv_weight: "f32[96, 64, 3, 3]", p_features_9_branch2_0_bn_weight: "f32[64]", p_features_9_branch2_0_bn_bias: "f32[64]", p_features_9_branch2_0_conv_weight: "f32[64, 384, 1, 1]", p_features_9_branch2_1_bn_weight: "f32[96]", p_features_9_branch2_1_bn_bias: "f32[96]", p_features_9_branch2_1_conv_weight: "f32[96, 64, 3, 3]", p_features_9_branch2_2_bn_weight: "f32[96]", p_features_9_branch2_2_bn_bias: "f32[96]", p_features_9_branch2_2_conv_weight: "f32[96, 96, 3, 3]", p_features_9_branch3_1_bn_weight: "f32[96]", p_features_9_branch3_1_bn_bias: "f32[96]", p_features_9_branch3_1_conv_weight: "f32[96, 384, 1, 1]", p_features_10_branch0_bn_weight: "f32[384]", p_features_10_branch0_bn_bias: "f32[384]", p_features_10_branch0_conv_weight: "f32[384, 384, 3, 3]", p_features_10_branch1_0_bn_weight: "f32[192]", p_features_10_branch1_0_bn_bias: "f32[192]", p_features_10_branch1_0_conv_weight: "f32[192, 384, 1, 1]", p_features_10_branch1_1_bn_weight: "f32[224]", p_features_10_branch1_1_bn_bias: "f32[224]", p_features_10_branch1_1_conv_weight: "f32[224, 192, 3, 3]", p_features_10_branch1_2_bn_weight: "f32[256]", p_features_10_branch1_2_bn_bias: "f32[256]", p_features_10_branch1_2_conv_weight: "f32[256, 224, 3, 3]", p_features_11_branch0_bn_weight: "f32[384]", p_features_11_branch0_bn_bias: "f32[384]", p_features_11_branch0_conv_weight: "f32[384, 1024, 1, 1]", p_features_11_branch1_0_bn_weight: "f32[192]", p_features_11_branch1_0_bn_bias: "f32[192]", p_features_11_branch1_0_conv_weight: "f32[192, 1024, 1, 1]", p_features_11_branch1_1_bn_weight: "f32[224]", p_features_11_branch1_1_bn_bias: "f32[224]", p_features_11_branch1_1_conv_weight: "f32[224, 192, 1, 7]", p_features_11_branch1_2_bn_weight: "f32[256]", p_features_11_branch1_2_bn_bias: "f32[256]", p_features_11_branch1_2_conv_weight: "f32[256, 224, 7, 1]", p_features_11_branch2_0_bn_weight: "f32[192]", p_features_11_branch2_0_bn_bias: "f32[192]", p_features_11_branch2_0_conv_weight: "f32[192, 1024, 1, 1]", p_features_11_branch2_1_bn_weight: "f32[192]", p_features_11_branch2_1_bn_bias: "f32[192]", p_features_11_branch2_1_conv_weight: "f32[192, 192, 7, 1]", p_features_11_branch2_2_bn_weight: "f32[224]", p_features_11_branch2_2_bn_bias: "f32[224]", p_features_11_branch2_2_conv_weight: "f32[224, 192, 1, 7]", p_features_11_branch2_3_bn_weight: "f32[224]", p_features_11_branch2_3_bn_bias: "f32[224]", p_features_11_branch2_3_conv_weight: "f32[224, 224, 7, 1]", p_features_11_branch2_4_bn_weight: "f32[256]", p_features_11_branch2_4_bn_bias: "f32[256]", p_features_11_branch2_4_conv_weight: "f32[256, 224, 1, 7]", p_features_11_branch3_1_bn_weight: "f32[128]", p_features_11_branch3_1_bn_bias: "f32[128]", p_features_11_branch3_1_conv_weight: "f32[128, 1024, 1, 1]", p_features_12_branch0_bn_weight: "f32[384]", p_features_12_branch0_bn_bias: "f32[384]", p_features_12_branch0_conv_weight: "f32[384, 1024, 1, 1]", p_features_12_branch1_0_bn_weight: "f32[192]", 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b_features_9_branch1_0_bn_running_mean: "f32[64]", b_features_9_branch1_0_bn_running_var: "f32[64]", b_features_9_branch1_1_bn_running_mean: "f32[96]", b_features_9_branch1_1_bn_running_var: "f32[96]", b_features_9_branch2_0_bn_running_mean: "f32[64]", b_features_9_branch2_0_bn_running_var: "f32[64]", b_features_9_branch2_1_bn_running_mean: "f32[96]", b_features_9_branch2_1_bn_running_var: "f32[96]", b_features_9_branch2_2_bn_running_mean: "f32[96]", b_features_9_branch2_2_bn_running_var: "f32[96]", b_features_9_branch3_1_bn_running_mean: "f32[96]", b_features_9_branch3_1_bn_running_var: "f32[96]", b_features_10_branch0_bn_running_mean: "f32[384]", b_features_10_branch0_bn_running_var: "f32[384]", b_features_10_branch1_0_bn_running_mean: "f32[192]", b_features_10_branch1_0_bn_running_var: "f32[192]", b_features_10_branch1_1_bn_running_mean: "f32[224]", b_features_10_branch1_1_bn_running_var: "f32[224]", b_features_10_branch1_2_bn_running_mean: "f32[256]", b_features_10_branch1_2_bn_running_var: "f32[256]", b_features_11_branch0_bn_running_mean: "f32[384]", b_features_11_branch0_bn_running_var: "f32[384]", b_features_11_branch1_0_bn_running_mean: "f32[192]", b_features_11_branch1_0_bn_running_var: "f32[192]", b_features_11_branch1_1_bn_running_mean: "f32[224]", b_features_11_branch1_1_bn_running_var: "f32[224]", b_features_11_branch1_2_bn_running_mean: "f32[256]", b_features_11_branch1_2_bn_running_var: "f32[256]", b_features_11_branch2_0_bn_running_mean: "f32[192]", b_features_11_branch2_0_bn_running_var: "f32[192]", b_features_11_branch2_1_bn_running_mean: "f32[192]", b_features_11_branch2_1_bn_running_var: "f32[192]", b_features_11_branch2_2_bn_running_mean: "f32[224]", b_features_11_branch2_2_bn_running_var: "f32[224]", b_features_11_branch2_3_bn_running_mean: "f32[224]", b_features_11_branch2_3_bn_running_var: "f32[224]", b_features_11_branch2_4_bn_running_mean: "f32[256]", b_features_11_branch2_4_bn_running_var: "f32[256]", b_features_11_branch3_1_bn_running_mean: "f32[128]", b_features_11_branch3_1_bn_running_var: "f32[128]", b_features_12_branch0_bn_running_mean: "f32[384]", b_features_12_branch0_bn_running_var: "f32[384]", b_features_12_branch1_0_bn_running_mean: "f32[192]", b_features_12_branch1_0_bn_running_var: "f32[192]", b_features_12_branch1_1_bn_running_mean: "f32[224]", b_features_12_branch1_1_bn_running_var: "f32[224]", b_features_12_branch1_2_bn_running_mean: "f32[256]", b_features_12_branch1_2_bn_running_var: "f32[256]", b_features_12_branch2_0_bn_running_mean: "f32[192]", b_features_12_branch2_0_bn_running_var: "f32[192]", b_features_12_branch2_1_bn_running_mean: "f32[192]", b_features_12_branch2_1_bn_running_var: "f32[192]", b_features_12_branch2_2_bn_running_mean: "f32[224]", b_features_12_branch2_2_bn_running_var: "f32[224]", b_features_12_branch2_3_bn_running_mean: "f32[224]", b_features_12_branch2_3_bn_running_var: "f32[224]", b_features_12_branch2_4_bn_running_mean: "f32[256]", b_features_12_branch2_4_bn_running_var: "f32[256]", b_features_12_branch3_1_bn_running_mean: "f32[128]", b_features_12_branch3_1_bn_running_var: "f32[128]", b_features_13_branch0_bn_running_mean: "f32[384]", b_features_13_branch0_bn_running_var: "f32[384]", b_features_13_branch1_0_bn_running_mean: "f32[192]", b_features_13_branch1_0_bn_running_var: "f32[192]", b_features_13_branch1_1_bn_running_mean: "f32[224]", b_features_13_branch1_1_bn_running_var: "f32[224]", b_features_13_branch1_2_bn_running_mean: "f32[256]", b_features_13_branch1_2_bn_running_var: "f32[256]", b_features_13_branch2_0_bn_running_mean: "f32[192]", b_features_13_branch2_0_bn_running_var: "f32[192]", b_features_13_branch2_1_bn_running_mean: "f32[192]", b_features_13_branch2_1_bn_running_var: "f32[192]", b_features_13_branch2_2_bn_running_mean: "f32[224]", b_features_13_branch2_2_bn_running_var: "f32[224]", b_features_13_branch2_3_bn_running_mean: "f32[224]", b_features_13_branch2_3_bn_running_var: "f32[224]", b_features_13_branch2_4_bn_running_mean: "f32[256]", b_features_13_branch2_4_bn_running_var: "f32[256]", b_features_13_branch3_1_bn_running_mean: "f32[128]", b_features_13_branch3_1_bn_running_var: "f32[128]", b_features_14_branch0_bn_running_mean: "f32[384]", b_features_14_branch0_bn_running_var: "f32[384]", b_features_14_branch1_0_bn_running_mean: "f32[192]", b_features_14_branch1_0_bn_running_var: "f32[192]", b_features_14_branch1_1_bn_running_mean: "f32[224]", b_features_14_branch1_1_bn_running_var: "f32[224]", b_features_14_branch1_2_bn_running_mean: "f32[256]", b_features_14_branch1_2_bn_running_var: "f32[256]", b_features_14_branch2_0_bn_running_mean: "f32[192]", b_features_14_branch2_0_bn_running_var: "f32[192]", b_features_14_branch2_1_bn_running_mean: "f32[192]", b_features_14_branch2_1_bn_running_var: "f32[192]", b_features_14_branch2_2_bn_running_mean: "f32[224]", b_features_14_branch2_2_bn_running_var: "f32[224]", b_features_14_branch2_3_bn_running_mean: "f32[224]", b_features_14_branch2_3_bn_running_var: "f32[224]", b_features_14_branch2_4_bn_running_mean: "f32[256]", b_features_14_branch2_4_bn_running_var: "f32[256]", b_features_14_branch3_1_bn_running_mean: "f32[128]", b_features_14_branch3_1_bn_running_var: "f32[128]", b_features_15_branch0_bn_running_mean: "f32[384]", b_features_15_branch0_bn_running_var: "f32[384]", b_features_15_branch1_0_bn_running_mean: "f32[192]", b_features_15_branch1_0_bn_running_var: "f32[192]", b_features_15_branch1_1_bn_running_mean: "f32[224]", b_features_15_branch1_1_bn_running_var: "f32[224]", b_features_15_branch1_2_bn_running_mean: "f32[256]", b_features_15_branch1_2_bn_running_var: "f32[256]", b_features_15_branch2_0_bn_running_mean: "f32[192]", b_features_15_branch2_0_bn_running_var: "f32[192]", b_features_15_branch2_1_bn_running_mean: "f32[192]", b_features_15_branch2_1_bn_running_var: "f32[192]", b_features_15_branch2_2_bn_running_mean: "f32[224]", b_features_15_branch2_2_bn_running_var: "f32[224]", b_features_15_branch2_3_bn_running_mean: "f32[224]", b_features_15_branch2_3_bn_running_var: "f32[224]", b_features_15_branch2_4_bn_running_mean: "f32[256]", b_features_15_branch2_4_bn_running_var: "f32[256]", b_features_15_branch3_1_bn_running_mean: "f32[128]", b_features_15_branch3_1_bn_running_var: "f32[128]", b_features_16_branch0_bn_running_mean: "f32[384]", b_features_16_branch0_bn_running_var: "f32[384]", b_features_16_branch1_0_bn_running_mean: "f32[192]", b_features_16_branch1_0_bn_running_var: "f32[192]", b_features_16_branch1_1_bn_running_mean: "f32[224]", b_features_16_branch1_1_bn_running_var: "f32[224]", b_features_16_branch1_2_bn_running_mean: "f32[256]", b_features_16_branch1_2_bn_running_var: "f32[256]", b_features_16_branch2_0_bn_running_mean: "f32[192]", b_features_16_branch2_0_bn_running_var: "f32[192]", b_features_16_branch2_1_bn_running_mean: "f32[192]", b_features_16_branch2_1_bn_running_var: "f32[192]", b_features_16_branch2_2_bn_running_mean: "f32[224]", b_features_16_branch2_2_bn_running_var: "f32[224]", b_features_16_branch2_3_bn_running_mean: "f32[224]", b_features_16_branch2_3_bn_running_var: "f32[224]", b_features_16_branch2_4_bn_running_mean: "f32[256]", b_features_16_branch2_4_bn_running_var: "f32[256]", b_features_16_branch3_1_bn_running_mean: "f32[128]", b_features_16_branch3_1_bn_running_var: "f32[128]", b_features_17_branch0_bn_running_mean: "f32[384]", b_features_17_branch0_bn_running_var: "f32[384]", b_features_17_branch1_0_bn_running_mean: "f32[192]", b_features_17_branch1_0_bn_running_var: "f32[192]", b_features_17_branch1_1_bn_running_mean: "f32[224]", b_features_17_branch1_1_bn_running_var: "f32[224]", b_features_17_branch1_2_bn_running_mean: "f32[256]", b_features_17_branch1_2_bn_running_var: "f32[256]", b_features_17_branch2_0_bn_running_mean: "f32[192]", b_features_17_branch2_0_bn_running_var: "f32[192]", b_features_17_branch2_1_bn_running_mean: "f32[192]", b_features_17_branch2_1_bn_running_var: "f32[192]", b_features_17_branch2_2_bn_running_mean: "f32[224]", b_features_17_branch2_2_bn_running_var: "f32[224]", b_features_17_branch2_3_bn_running_mean: "f32[224]", b_features_17_branch2_3_bn_running_var: "f32[224]", b_features_17_branch2_4_bn_running_mean: "f32[256]", b_features_17_branch2_4_bn_running_var: "f32[256]", b_features_17_branch3_1_bn_running_mean: "f32[128]", b_features_17_branch3_1_bn_running_var: "f32[128]", b_features_18_branch0_0_bn_running_mean: "f32[192]", b_features_18_branch0_0_bn_running_var: "f32[192]", b_features_18_branch0_1_bn_running_mean: "f32[192]", b_features_18_branch0_1_bn_running_var: "f32[192]", b_features_18_branch1_0_bn_running_mean: "f32[256]", b_features_18_branch1_0_bn_running_var: "f32[256]", b_features_18_branch1_1_bn_running_mean: "f32[256]", b_features_18_branch1_1_bn_running_var: "f32[256]", b_features_18_branch1_2_bn_running_mean: "f32[320]", b_features_18_branch1_2_bn_running_var: "f32[320]", b_features_18_branch1_3_bn_running_mean: "f32[320]", b_features_18_branch1_3_bn_running_var: "f32[320]", b_features_19_branch0_bn_running_mean: "f32[256]", b_features_19_branch0_bn_running_var: "f32[256]", b_features_19_branch1_0_bn_running_mean: "f32[384]", b_features_19_branch1_0_bn_running_var: "f32[384]", b_features_19_branch1_1a_bn_running_mean: "f32[256]", b_features_19_branch1_1a_bn_running_var: "f32[256]", b_features_19_branch1_1b_bn_running_mean: "f32[256]", b_features_19_branch1_1b_bn_running_var: "f32[256]", b_features_19_branch2_0_bn_running_mean: "f32[384]", b_features_19_branch2_0_bn_running_var: "f32[384]", b_features_19_branch2_1_bn_running_mean: "f32[448]", b_features_19_branch2_1_bn_running_var: "f32[448]", b_features_19_branch2_2_bn_running_mean: "f32[512]", b_features_19_branch2_2_bn_running_var: "f32[512]", b_features_19_branch2_3a_bn_running_mean: "f32[256]", b_features_19_branch2_3a_bn_running_var: "f32[256]", b_features_19_branch2_3b_bn_running_mean: "f32[256]", b_features_19_branch2_3b_bn_running_var: "f32[256]", b_features_19_branch3_1_bn_running_mean: "f32[256]", b_features_19_branch3_1_bn_running_var: "f32[256]", b_features_20_branch0_bn_running_mean: "f32[256]", b_features_20_branch0_bn_running_var: "f32[256]", b_features_20_branch1_0_bn_running_mean: "f32[384]", b_features_20_branch1_0_bn_running_var: "f32[384]", b_features_20_branch1_1a_bn_running_mean: "f32[256]", b_features_20_branch1_1a_bn_running_var: "f32[256]", b_features_20_branch1_1b_bn_running_mean: "f32[256]", b_features_20_branch1_1b_bn_running_var: "f32[256]", b_features_20_branch2_0_bn_running_mean: "f32[384]", b_features_20_branch2_0_bn_running_var: "f32[384]", b_features_20_branch2_1_bn_running_mean: "f32[448]", b_features_20_branch2_1_bn_running_var: "f32[448]", b_features_20_branch2_2_bn_running_mean: "f32[512]", b_features_20_branch2_2_bn_running_var: "f32[512]", b_features_20_branch2_3a_bn_running_mean: "f32[256]", b_features_20_branch2_3a_bn_running_var: "f32[256]", b_features_20_branch2_3b_bn_running_mean: "f32[256]", b_features_20_branch2_3b_bn_running_var: "f32[256]", b_features_20_branch3_1_bn_running_mean: "f32[256]", b_features_20_branch3_1_bn_running_var: "f32[256]", b_features_21_branch0_bn_running_mean: "f32[256]", b_features_21_branch0_bn_running_var: "f32[256]", b_features_21_branch1_0_bn_running_mean: "f32[384]", b_features_21_branch1_0_bn_running_var: "f32[384]", b_features_21_branch1_1a_bn_running_mean: "f32[256]", b_features_21_branch1_1a_bn_running_var: "f32[256]", b_features_21_branch1_1b_bn_running_mean: "f32[256]", b_features_21_branch1_1b_bn_running_var: "f32[256]", b_features_21_branch2_0_bn_running_mean: "f32[384]", b_features_21_branch2_0_bn_running_var: "f32[384]", b_features_21_branch2_1_bn_running_mean: "f32[448]", b_features_21_branch2_1_bn_running_var: "f32[448]", b_features_21_branch2_2_bn_running_mean: "f32[512]", b_features_21_branch2_2_bn_running_var: "f32[512]", b_features_21_branch2_3a_bn_running_mean: "f32[256]", b_features_21_branch2_3a_bn_running_var: "f32[256]", b_features_21_branch2_3b_bn_running_mean: "f32[256]", b_features_21_branch2_3b_bn_running_var: "f32[256]", b_features_21_branch3_1_bn_running_mean: "f32[256]", b_features_21_branch3_1_bn_running_var: "f32[256]", x: "f32[1, 3, 299, 299]"):
2025-03-21T20:22:32.3181360Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.3183229Z             aten_convolution_default: "f32[1, 32, 149, 149]" = executorch_exir_dialects_edge__ops_aten_convolution_default(x, p_features_0_conv_weight, None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1);  x = p_features_0_conv_weight = None
2025-03-21T20:22:32.3184518Z             
2025-03-21T20:22:32.3185351Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.3188430Z             aten__native_batch_norm_legit_no_training_default = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default, p_features_0_bn_weight, p_features_0_bn_bias, b_features_0_bn_running_mean, b_features_0_bn_running_var, 0.1, 0.001);  aten_convolution_default = p_features_0_bn_weight = p_features_0_bn_bias = b_features_0_bn_running_mean = b_features_0_bn_running_var = None
2025-03-21T20:22:32.3191616Z             getitem: "f32[1, 32, 149, 149]" = aten__native_batch_norm_legit_no_training_default[0];  aten__native_batch_norm_legit_no_training_default = None
2025-03-21T20:22:32.3192521Z             
2025-03-21T20:22:32.3193411Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.3194901Z             aten_relu_default: "f32[1, 32, 149, 149]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem);  getitem = None
2025-03-21T20:22:32.3195705Z             
2025-03-21T20:22:32.3196703Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.3198852Z             aten_convolution_default_1: "f32[1, 32, 147, 147]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default, p_features_1_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_relu_default = p_features_1_conv_weight = None
2025-03-21T20:22:32.3200356Z             
2025-03-21T20:22:32.3201477Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.3205476Z             aten__native_batch_norm_legit_no_training_default_1 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_1, p_features_1_bn_weight, p_features_1_bn_bias, b_features_1_bn_running_mean, b_features_1_bn_running_var, 0.1, 0.001);  aten_convolution_default_1 = p_features_1_bn_weight = p_features_1_bn_bias = b_features_1_bn_running_mean = b_features_1_bn_running_var = None
2025-03-21T20:22:32.3208625Z             getitem_1: "f32[1, 32, 147, 147]" = aten__native_batch_norm_legit_no_training_default_1[0];  aten__native_batch_norm_legit_no_training_default_1 = None
2025-03-21T20:22:32.3209675Z             
2025-03-21T20:22:32.3210605Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.3212091Z             aten_relu_default_1: "f32[1, 32, 147, 147]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_1);  getitem_1 = None
2025-03-21T20:22:32.3213040Z             
2025-03-21T20:22:32.3213970Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.3215906Z             aten_convolution_default_2: "f32[1, 64, 147, 147]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_1, p_features_2_conv_weight, None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1);  aten_relu_default_1 = p_features_2_conv_weight = None
2025-03-21T20:22:32.3217286Z             
2025-03-21T20:22:32.3218114Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.3221146Z             aten__native_batch_norm_legit_no_training_default_2 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_2, p_features_2_bn_weight, p_features_2_bn_bias, b_features_2_bn_running_mean, b_features_2_bn_running_var, 0.1, 0.001);  aten_convolution_default_2 = p_features_2_bn_weight = p_features_2_bn_bias = b_features_2_bn_running_mean = b_features_2_bn_running_var = None
2025-03-21T20:22:32.3224403Z             getitem_2: "f32[1, 64, 147, 147]" = aten__native_batch_norm_legit_no_training_default_2[0];  aten__native_batch_norm_legit_no_training_default_2 = None
2025-03-21T20:22:32.3225432Z             
2025-03-21T20:22:32.3226241Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.3227686Z             aten_relu_default_2: "f32[1, 64, 147, 147]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_2);  getitem_2 = None
2025-03-21T20:22:32.3228507Z             
2025-03-21T20:22:32.3229441Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/inception_v4.py:25 in forward, code: x0 = self.maxpool(x)
2025-03-21T20:22:32.3231249Z             aten_max_pool2d_with_indices_default = executorch_exir_dialects_edge__ops_aten_max_pool2d_with_indices_default(aten_relu_default_2, [3, 3], [2, 2])
2025-03-21T20:22:32.3232835Z             getitem_3: "f32[1, 64, 73, 73]" = aten_max_pool2d_with_indices_default[0];  aten_max_pool2d_with_indices_default = None
2025-03-21T20:22:32.3233621Z             
2025-03-21T20:22:32.3234465Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.3236685Z             aten_convolution_default_3: "f32[1, 96, 73, 73]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_2, p_features_3_conv_conv_weight, None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1);  aten_relu_default_2 = p_features_3_conv_conv_weight = None
2025-03-21T20:22:32.3238263Z             
2025-03-21T20:22:32.3239164Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.3243422Z             aten__native_batch_norm_legit_no_training_default_3 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_3, p_features_3_conv_bn_weight, p_features_3_conv_bn_bias, b_features_3_conv_bn_running_mean, b_features_3_conv_bn_running_var, 0.1, 0.001);  aten_convolution_default_3 = p_features_3_conv_bn_weight = p_features_3_conv_bn_bias = b_features_3_conv_bn_running_mean = b_features_3_conv_bn_running_var = None
2025-03-21T20:22:32.3246775Z             getitem_4: "f32[1, 96, 73, 73]" = aten__native_batch_norm_legit_no_training_default_3[0];  aten__native_batch_norm_legit_no_training_default_3 = None
2025-03-21T20:22:32.3247740Z             
2025-03-21T20:22:32.3248601Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.3250193Z             aten_relu_default_3: "f32[1, 96, 73, 73]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_4);  getitem_4 = None
2025-03-21T20:22:32.3251023Z             
2025-03-21T20:22:32.3251923Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/inception_v4.py:27 in forward, code: out = torch.cat((x0, x1), 1)
2025-03-21T20:22:32.3253567Z             aten_cat_default: "f32[1, 160, 73, 73]" = executorch_exir_dialects_edge__ops_aten_cat_default([getitem_3, aten_relu_default_3], 1);  getitem_3 = aten_relu_default_3 = None
2025-03-21T20:22:32.3254599Z             
2025-03-21T20:22:32.3255428Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.3257509Z             aten_convolution_default_4: "f32[1, 64, 73, 73]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_cat_default, p_features_4_branch0_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  p_features_4_branch0_0_conv_weight = None
2025-03-21T20:22:32.3258901Z             
2025-03-21T20:22:32.3259716Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.3263180Z             aten__native_batch_norm_legit_no_training_default_4 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_4, p_features_4_branch0_0_bn_weight, p_features_4_branch0_0_bn_bias, b_features_4_branch0_0_bn_running_mean, b_features_4_branch0_0_bn_running_var, 0.1, 0.001);  aten_convolution_default_4 = p_features_4_branch0_0_bn_weight = p_features_4_branch0_0_bn_bias = b_features_4_branch0_0_bn_running_mean = b_features_4_branch0_0_bn_running_var = None
2025-03-21T20:22:32.3266542Z             getitem_5: "f32[1, 64, 73, 73]" = aten__native_batch_norm_legit_no_training_default_4[0];  aten__native_batch_norm_legit_no_training_default_4 = None
2025-03-21T20:22:32.3267534Z             
2025-03-21T20:22:32.3268433Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.3269827Z             aten_relu_default_4: "f32[1, 64, 73, 73]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_5);  getitem_5 = None
2025-03-21T20:22:32.3270679Z             
2025-03-21T20:22:32.3271645Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.3273756Z             aten_convolution_default_5: "f32[1, 96, 71, 71]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_4, p_features_4_branch0_1_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_relu_default_4 = p_features_4_branch0_1_conv_weight = None
2025-03-21T20:22:32.3275407Z             
2025-03-21T20:22:32.3276268Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.3280307Z             aten__native_batch_norm_legit_no_training_default_5 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_5, p_features_4_branch0_1_bn_weight, p_features_4_branch0_1_bn_bias, b_features_4_branch0_1_bn_running_mean, b_features_4_branch0_1_bn_running_var, 0.1, 0.001);  aten_convolution_default_5 = p_features_4_branch0_1_bn_weight = p_features_4_branch0_1_bn_bias = b_features_4_branch0_1_bn_running_mean = b_features_4_branch0_1_bn_running_var = None
2025-03-21T20:22:32.3283816Z             getitem_6: "f32[1, 96, 71, 71]" = aten__native_batch_norm_legit_no_training_default_5[0];  aten__native_batch_norm_legit_no_training_default_5 = None
2025-03-21T20:22:32.3284716Z             
2025-03-21T20:22:32.3285583Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.3287051Z             aten_relu_default_5: "f32[1, 96, 71, 71]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_6);  getitem_6 = None
2025-03-21T20:22:32.3287951Z             
2025-03-21T20:22:32.3288896Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.3291070Z             aten_convolution_default_6: "f32[1, 64, 73, 73]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_cat_default, p_features_4_branch1_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_cat_default = p_features_4_branch1_0_conv_weight = None
2025-03-21T20:22:32.3292578Z             
2025-03-21T20:22:32.3293487Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.3296943Z             aten__native_batch_norm_legit_no_training_default_6 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_6, p_features_4_branch1_0_bn_weight, p_features_4_branch1_0_bn_bias, b_features_4_branch1_0_bn_running_mean, b_features_4_branch1_0_bn_running_var, 0.1, 0.001);  aten_convolution_default_6 = p_features_4_branch1_0_bn_weight = p_features_4_branch1_0_bn_bias = b_features_4_branch1_0_bn_running_mean = b_features_4_branch1_0_bn_running_var = None
2025-03-21T20:22:32.3300411Z             getitem_7: "f32[1, 64, 73, 73]" = aten__native_batch_norm_legit_no_training_default_6[0];  aten__native_batch_norm_legit_no_training_default_6 = None
2025-03-21T20:22:32.3301420Z             
2025-03-21T20:22:32.3302263Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.3303651Z             aten_relu_default_6: "f32[1, 64, 73, 73]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_7);  getitem_7 = None
2025-03-21T20:22:32.3304567Z             
2025-03-21T20:22:32.3305495Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.3307649Z             aten_convolution_default_7: "f32[1, 64, 73, 73]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_6, p_features_4_branch1_1_conv_weight, None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1);  aten_relu_default_6 = p_features_4_branch1_1_conv_weight = None
2025-03-21T20:22:32.3309105Z             
2025-03-21T20:22:32.3309916Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.3313388Z             aten__native_batch_norm_legit_no_training_default_7 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_7, p_features_4_branch1_1_bn_weight, p_features_4_branch1_1_bn_bias, b_features_4_branch1_1_bn_running_mean, b_features_4_branch1_1_bn_running_var, 0.1, 0.001);  aten_convolution_default_7 = p_features_4_branch1_1_bn_weight = p_features_4_branch1_1_bn_bias = b_features_4_branch1_1_bn_running_mean = b_features_4_branch1_1_bn_running_var = None
2025-03-21T20:22:32.3317395Z             getitem_8: "f32[1, 64, 73, 73]" = aten__native_batch_norm_legit_no_training_default_7[0];  aten__native_batch_norm_legit_no_training_default_7 = None
2025-03-21T20:22:32.3318429Z             
2025-03-21T20:22:32.3319324Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.3320778Z             aten_relu_default_7: "f32[1, 64, 73, 73]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_8);  getitem_8 = None
2025-03-21T20:22:32.3321669Z             
2025-03-21T20:22:32.3322584Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.3324624Z             aten_convolution_default_8: "f32[1, 64, 73, 73]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_7, p_features_4_branch1_2_conv_weight, None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1);  aten_relu_default_7 = p_features_4_branch1_2_conv_weight = None
2025-03-21T20:22:32.3326196Z             
2025-03-21T20:22:32.3327049Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.3330499Z             aten__native_batch_norm_legit_no_training_default_8 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_8, p_features_4_branch1_2_bn_weight, p_features_4_branch1_2_bn_bias, b_features_4_branch1_2_bn_running_mean, b_features_4_branch1_2_bn_running_var, 0.1, 0.001);  aten_convolution_default_8 = p_features_4_branch1_2_bn_weight = p_features_4_branch1_2_bn_bias = b_features_4_branch1_2_bn_running_mean = b_features_4_branch1_2_bn_running_var = None
2025-03-21T20:22:32.3333790Z             getitem_9: "f32[1, 64, 73, 73]" = aten__native_batch_norm_legit_no_training_default_8[0];  aten__native_batch_norm_legit_no_training_default_8 = None
2025-03-21T20:22:32.3334794Z             
2025-03-21T20:22:32.3335599Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.3337009Z             aten_relu_default_8: "f32[1, 64, 73, 73]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_9);  getitem_9 = None
2025-03-21T20:22:32.3337926Z             
2025-03-21T20:22:32.3338793Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.3341174Z             aten_convolution_default_9: "f32[1, 96, 71, 71]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_8, p_features_4_branch1_3_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_relu_default_8 = p_features_4_branch1_3_conv_weight = None
2025-03-21T20:22:32.3342635Z             
2025-03-21T20:22:32.3343458Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.3346882Z             aten__native_batch_norm_legit_no_training_default_9 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_9, p_features_4_branch1_3_bn_weight, p_features_4_branch1_3_bn_bias, b_features_4_branch1_3_bn_running_mean, b_features_4_branch1_3_bn_running_var, 0.1, 0.001);  aten_convolution_default_9 = p_features_4_branch1_3_bn_weight = p_features_4_branch1_3_bn_bias = b_features_4_branch1_3_bn_running_mean = b_features_4_branch1_3_bn_running_var = None
2025-03-21T20:22:32.3350163Z             getitem_10: "f32[1, 96, 71, 71]" = aten__native_batch_norm_legit_no_training_default_9[0];  aten__native_batch_norm_legit_no_training_default_9 = None
2025-03-21T20:22:32.3351517Z             
2025-03-21T20:22:32.3352406Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.3354014Z             aten_relu_default_9: "f32[1, 96, 71, 71]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_10);  getitem_10 = None
2025-03-21T20:22:32.3354927Z             
2025-03-21T20:22:32.3355822Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/inception_v4.py:50 in forward, code: out = torch.cat((x0, x1), 1)
2025-03-21T20:22:32.3357682Z             aten_cat_default_1: "f32[1, 192, 71, 71]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_relu_default_5, aten_relu_default_9], 1);  aten_relu_default_5 = aten_relu_default_9 = None
2025-03-21T20:22:32.3358887Z             
2025-03-21T20:22:32.3359976Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.3362003Z             aten_convolution_default_10: "f32[1, 192, 35, 35]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_cat_default_1, p_features_5_conv_conv_weight, None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1);  p_features_5_conv_conv_weight = None
2025-03-21T20:22:32.3363427Z             
2025-03-21T20:22:32.3364348Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.3367541Z             aten__native_batch_norm_legit_no_training_default_10 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_10, p_features_5_conv_bn_weight, p_features_5_conv_bn_bias, b_features_5_conv_bn_running_mean, b_features_5_conv_bn_running_var, 0.1, 0.001);  aten_convolution_default_10 = p_features_5_conv_bn_weight = p_features_5_conv_bn_bias = b_features_5_conv_bn_running_mean = b_features_5_conv_bn_running_var = None
2025-03-21T20:22:32.3370672Z             getitem_11: "f32[1, 192, 35, 35]" = aten__native_batch_norm_legit_no_training_default_10[0];  aten__native_batch_norm_legit_no_training_default_10 = None
2025-03-21T20:22:32.3371695Z             
2025-03-21T20:22:32.3372652Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.3374083Z             aten_relu_default_10: "f32[1, 192, 35, 35]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_11);  getitem_11 = None
2025-03-21T20:22:32.3375007Z             
2025-03-21T20:22:32.3375978Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/inception_v4.py:62 in forward, code: x1 = self.maxpool(x)
2025-03-21T20:22:32.3377694Z             aten_max_pool2d_with_indices_default_1 = executorch_exir_dialects_edge__ops_aten_max_pool2d_with_indices_default(aten_cat_default_1, [3, 3], [2, 2]);  aten_cat_default_1 = None
2025-03-21T20:22:32.3379286Z             getitem_12: "f32[1, 192, 35, 35]" = aten_max_pool2d_with_indices_default_1[0];  aten_max_pool2d_with_indices_default_1 = None
2025-03-21T20:22:32.3380077Z             
2025-03-21T20:22:32.3381042Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/inception_v4.py:63 in forward, code: out = torch.cat((x0, x1), 1)
2025-03-21T20:22:32.3382734Z             aten_cat_default_2: "f32[1, 384, 35, 35]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_relu_default_10, getitem_12], 1);  aten_relu_default_10 = getitem_12 = None
2025-03-21T20:22:32.3383907Z             
2025-03-21T20:22:32.3384775Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.3386767Z             aten_convolution_default_11: "f32[1, 96, 35, 35]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_cat_default_2, p_features_6_branch0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  p_features_6_branch0_conv_weight = None
2025-03-21T20:22:32.3388565Z             
2025-03-21T20:22:32.3389687Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.3393035Z             aten__native_batch_norm_legit_no_training_default_11 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_11, p_features_6_branch0_bn_weight, p_features_6_branch0_bn_bias, b_features_6_branch0_bn_running_mean, b_features_6_branch0_bn_running_var, 0.1, 0.001);  aten_convolution_default_11 = p_features_6_branch0_bn_weight = p_features_6_branch0_bn_bias = b_features_6_branch0_bn_running_mean = b_features_6_branch0_bn_running_var = None
2025-03-21T20:22:32.3396362Z             getitem_13: "f32[1, 96, 35, 35]" = aten__native_batch_norm_legit_no_training_default_11[0];  aten__native_batch_norm_legit_no_training_default_11 = None
2025-03-21T20:22:32.3397369Z             
2025-03-21T20:22:32.3398232Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.3399686Z             aten_relu_default_11: "f32[1, 96, 35, 35]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_13);  getitem_13 = None
2025-03-21T20:22:32.3400505Z             
2025-03-21T20:22:32.3401478Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.3403480Z             aten_convolution_default_12: "f32[1, 64, 35, 35]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_cat_default_2, p_features_6_branch1_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  p_features_6_branch1_0_conv_weight = None
2025-03-21T20:22:32.3404914Z             
2025-03-21T20:22:32.3405917Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.3409503Z             aten__native_batch_norm_legit_no_training_default_12 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_12, p_features_6_branch1_0_bn_weight, p_features_6_branch1_0_bn_bias, b_features_6_branch1_0_bn_running_mean, b_features_6_branch1_0_bn_running_var, 0.1, 0.001);  aten_convolution_default_12 = p_features_6_branch1_0_bn_weight = p_features_6_branch1_0_bn_bias = b_features_6_branch1_0_bn_running_mean = b_features_6_branch1_0_bn_running_var = None
2025-03-21T20:22:32.3413089Z             getitem_14: "f32[1, 64, 35, 35]" = aten__native_batch_norm_legit_no_training_default_12[0];  aten__native_batch_norm_legit_no_training_default_12 = None
2025-03-21T20:22:32.3413995Z             
2025-03-21T20:22:32.3414859Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.3416381Z             aten_relu_default_12: "f32[1, 64, 35, 35]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_14);  getitem_14 = None
2025-03-21T20:22:32.3417316Z             
2025-03-21T20:22:32.3418140Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.3420304Z             aten_convolution_default_13: "f32[1, 96, 35, 35]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_12, p_features_6_branch1_1_conv_weight, None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1);  aten_relu_default_12 = p_features_6_branch1_1_conv_weight = None
2025-03-21T20:22:32.3421874Z             
2025-03-21T20:22:32.3422754Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.3426578Z             aten__native_batch_norm_legit_no_training_default_13 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_13, p_features_6_branch1_1_bn_weight, p_features_6_branch1_1_bn_bias, b_features_6_branch1_1_bn_running_mean, b_features_6_branch1_1_bn_running_var, 0.1, 0.001);  aten_convolution_default_13 = p_features_6_branch1_1_bn_weight = p_features_6_branch1_1_bn_bias = b_features_6_branch1_1_bn_running_mean = b_features_6_branch1_1_bn_running_var = None
2025-03-21T20:22:32.3430151Z             getitem_15: "f32[1, 96, 35, 35]" = aten__native_batch_norm_legit_no_training_default_13[0];  aten__native_batch_norm_legit_no_training_default_13 = None
2025-03-21T20:22:32.3431186Z             
2025-03-21T20:22:32.3432082Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.3433426Z             aten_relu_default_13: "f32[1, 96, 35, 35]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_15);  getitem_15 = None
2025-03-21T20:22:32.3434248Z             
2025-03-21T20:22:32.3435140Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.3437105Z             aten_convolution_default_14: "f32[1, 64, 35, 35]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_cat_default_2, p_features_6_branch2_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  p_features_6_branch2_0_conv_weight = None
2025-03-21T20:22:32.3438584Z             
2025-03-21T20:22:32.3439488Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.3443295Z             aten__native_batch_norm_legit_no_training_default_14 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_14, p_features_6_branch2_0_bn_weight, p_features_6_branch2_0_bn_bias, b_features_6_branch2_0_bn_running_mean, b_features_6_branch2_0_bn_running_var, 0.1, 0.001);  aten_convolution_default_14 = p_features_6_branch2_0_bn_weight = p_features_6_branch2_0_bn_bias = b_features_6_branch2_0_bn_running_mean = b_features_6_branch2_0_bn_running_var = None
2025-03-21T20:22:32.3446671Z             getitem_16: "f32[1, 64, 35, 35]" = aten__native_batch_norm_legit_no_training_default_14[0];  aten__native_batch_norm_legit_no_training_default_14 = None
2025-03-21T20:22:32.3447737Z             
2025-03-21T20:22:32.3448597Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.3449897Z             aten_relu_default_14: "f32[1, 64, 35, 35]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_16);  getitem_16 = None
2025-03-21T20:22:32.3450787Z             
2025-03-21T20:22:32.3451657Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.3453779Z             aten_convolution_default_15: "f32[1, 96, 35, 35]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_14, p_features_6_branch2_1_conv_weight, None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1);  aten_relu_default_14 = p_features_6_branch2_1_conv_weight = None
2025-03-21T20:22:32.3455247Z             
2025-03-21T20:22:32.3456129Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.3459518Z             aten__native_batch_norm_legit_no_training_default_15 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_15, p_features_6_branch2_1_bn_weight, p_features_6_branch2_1_bn_bias, b_features_6_branch2_1_bn_running_mean, b_features_6_branch2_1_bn_running_var, 0.1, 0.001);  aten_convolution_default_15 = p_features_6_branch2_1_bn_weight = p_features_6_branch2_1_bn_bias = b_features_6_branch2_1_bn_running_mean = b_features_6_branch2_1_bn_running_var = None
2025-03-21T20:22:32.3463482Z             getitem_17: "f32[1, 96, 35, 35]" = aten__native_batch_norm_legit_no_training_default_15[0];  aten__native_batch_norm_legit_no_training_default_15 = None
2025-03-21T20:22:32.3464559Z             
2025-03-21T20:22:32.3465364Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.3466734Z             aten_relu_default_15: "f32[1, 96, 35, 35]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_17);  getitem_17 = None
2025-03-21T20:22:32.3467645Z             
2025-03-21T20:22:32.3468521Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.3470764Z             aten_convolution_default_16: "f32[1, 96, 35, 35]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_15, p_features_6_branch2_2_conv_weight, None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1);  aten_relu_default_15 = p_features_6_branch2_2_conv_weight = None
2025-03-21T20:22:32.3472321Z             
2025-03-21T20:22:32.3473234Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.3476626Z             aten__native_batch_norm_legit_no_training_default_16 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_16, p_features_6_branch2_2_bn_weight, p_features_6_branch2_2_bn_bias, b_features_6_branch2_2_bn_running_mean, b_features_6_branch2_2_bn_running_var, 0.1, 0.001);  aten_convolution_default_16 = p_features_6_branch2_2_bn_weight = p_features_6_branch2_2_bn_bias = b_features_6_branch2_2_bn_running_mean = b_features_6_branch2_2_bn_running_var = None
2025-03-21T20:22:32.3480100Z             getitem_18: "f32[1, 96, 35, 35]" = aten__native_batch_norm_legit_no_training_default_16[0];  aten__native_batch_norm_legit_no_training_default_16 = None
2025-03-21T20:22:32.3481217Z             
2025-03-21T20:22:32.3482107Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.3483657Z             aten_relu_default_16: "f32[1, 96, 35, 35]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_18);  getitem_18 = None
2025-03-21T20:22:32.3484472Z             
2025-03-21T20:22:32.3485323Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/inception_v4.py:92 in forward, code: x3 = self.branch3(x)
2025-03-21T20:22:32.3487150Z             aten_avg_pool2d_default: "f32[1, 384, 35, 35]" = executorch_exir_dialects_edge__ops_aten_avg_pool2d_default(aten_cat_default_2, [3, 3], [1, 1], [1, 1], False, False);  aten_cat_default_2 = None
2025-03-21T20:22:32.3488447Z             
2025-03-21T20:22:32.3489459Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.3491708Z             aten_convolution_default_17: "f32[1, 96, 35, 35]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_avg_pool2d_default, p_features_6_branch3_1_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_avg_pool2d_default = p_features_6_branch3_1_conv_weight = None
2025-03-21T20:22:32.3493560Z             
2025-03-21T20:22:32.3494494Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.3498165Z             aten__native_batch_norm_legit_no_training_default_17 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_17, p_features_6_branch3_1_bn_weight, p_features_6_branch3_1_bn_bias, b_features_6_branch3_1_bn_running_mean, b_features_6_branch3_1_bn_running_var, 0.1, 0.001);  aten_convolution_default_17 = p_features_6_branch3_1_bn_weight = p_features_6_branch3_1_bn_bias = b_features_6_branch3_1_bn_running_mean = b_features_6_branch3_1_bn_running_var = None
2025-03-21T20:22:32.3502159Z             getitem_19: "f32[1, 96, 35, 35]" = aten__native_batch_norm_legit_no_training_default_17[0];  aten__native_batch_norm_legit_no_training_default_17 = None
2025-03-21T20:22:32.3503325Z             
2025-03-21T20:22:32.3504415Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.3505839Z             aten_relu_default_17: "f32[1, 96, 35, 35]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_19);  getitem_19 = None
2025-03-21T20:22:32.3506753Z             
2025-03-21T20:22:32.3507676Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/inception_v4.py:93 in forward, code: out = torch.cat((x0, x1, x2, x3), 1)
2025-03-21T20:22:32.3510172Z             aten_cat_default_3: "f32[1, 384, 35, 35]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_relu_default_11, aten_relu_default_13, aten_relu_default_16, aten_relu_default_17], 1);  aten_relu_default_11 = aten_relu_default_13 = aten_relu_default_16 = aten_relu_default_17 = None
2025-03-21T20:22:32.3511929Z             
2025-03-21T20:22:32.3512889Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.3514995Z             aten_convolution_default_18: "f32[1, 96, 35, 35]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_cat_default_3, p_features_7_branch0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  p_features_7_branch0_conv_weight = None
2025-03-21T20:22:32.3516555Z             
2025-03-21T20:22:32.3517605Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.3521236Z             aten__native_batch_norm_legit_no_training_default_18 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_18, p_features_7_branch0_bn_weight, p_features_7_branch0_bn_bias, b_features_7_branch0_bn_running_mean, b_features_7_branch0_bn_running_var, 0.1, 0.001);  aten_convolution_default_18 = p_features_7_branch0_bn_weight = p_features_7_branch0_bn_bias = b_features_7_branch0_bn_running_mean = b_features_7_branch0_bn_running_var = None
2025-03-21T20:22:32.3525045Z             getitem_20: "f32[1, 96, 35, 35]" = aten__native_batch_norm_legit_no_training_default_18[0];  aten__native_batch_norm_legit_no_training_default_18 = None
2025-03-21T20:22:32.3526114Z             
2025-03-21T20:22:32.3526993Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.3528581Z             aten_relu_default_18: "f32[1, 96, 35, 35]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_20);  getitem_20 = None
2025-03-21T20:22:32.3529505Z             
2025-03-21T20:22:32.3530546Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.3532656Z             aten_convolution_default_19: "f32[1, 64, 35, 35]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_cat_default_3, p_features_7_branch1_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  p_features_7_branch1_0_conv_weight = None
2025-03-21T20:22:32.3534161Z             
2025-03-21T20:22:32.3534971Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.3538839Z             aten__native_batch_norm_legit_no_training_default_19 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_19, p_features_7_branch1_0_bn_weight, p_features_7_branch1_0_bn_bias, b_features_7_branch1_0_bn_running_mean, b_features_7_branch1_0_bn_running_var, 0.1, 0.001);  aten_convolution_default_19 = p_features_7_branch1_0_bn_weight = p_features_7_branch1_0_bn_bias = b_features_7_branch1_0_bn_running_mean = b_features_7_branch1_0_bn_running_var = None
2025-03-21T20:22:32.3542947Z             getitem_21: "f32[1, 64, 35, 35]" = aten__native_batch_norm_legit_no_training_default_19[0];  aten__native_batch_norm_legit_no_training_default_19 = None
2025-03-21T20:22:32.3544037Z             
2025-03-21T20:22:32.3545060Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.3546655Z             aten_relu_default_19: "f32[1, 64, 35, 35]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_21);  getitem_21 = None
2025-03-21T20:22:32.3547588Z             
2025-03-21T20:22:32.3548405Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.3550613Z             aten_convolution_default_20: "f32[1, 96, 35, 35]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_19, p_features_7_branch1_1_conv_weight, None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1);  aten_relu_default_19 = p_features_7_branch1_1_conv_weight = None
2025-03-21T20:22:32.3552353Z             
2025-03-21T20:22:32.3553329Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.3557040Z             aten__native_batch_norm_legit_no_training_default_20 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_20, p_features_7_branch1_1_bn_weight, p_features_7_branch1_1_bn_bias, b_features_7_branch1_1_bn_running_mean, b_features_7_branch1_1_bn_running_var, 0.1, 0.001);  aten_convolution_default_20 = p_features_7_branch1_1_bn_weight = p_features_7_branch1_1_bn_bias = b_features_7_branch1_1_bn_running_mean = b_features_7_branch1_1_bn_running_var = None
2025-03-21T20:22:32.3560490Z             getitem_22: "f32[1, 96, 35, 35]" = aten__native_batch_norm_legit_no_training_default_20[0];  aten__native_batch_norm_legit_no_training_default_20 = None
2025-03-21T20:22:32.3561553Z             
2025-03-21T20:22:32.3562457Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.3563927Z             aten_relu_default_20: "f32[1, 96, 35, 35]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_22);  getitem_22 = None
2025-03-21T20:22:32.3564837Z             
2025-03-21T20:22:32.3565697Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.3567753Z             aten_convolution_default_21: "f32[1, 64, 35, 35]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_cat_default_3, p_features_7_branch2_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  p_features_7_branch2_0_conv_weight = None
2025-03-21T20:22:32.3569195Z             
2025-03-21T20:22:32.3570059Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.3573542Z             aten__native_batch_norm_legit_no_training_default_21 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_21, p_features_7_branch2_0_bn_weight, p_features_7_branch2_0_bn_bias, b_features_7_branch2_0_bn_running_mean, b_features_7_branch2_0_bn_running_var, 0.1, 0.001);  aten_convolution_default_21 = p_features_7_branch2_0_bn_weight = p_features_7_branch2_0_bn_bias = b_features_7_branch2_0_bn_running_mean = b_features_7_branch2_0_bn_running_var = None
2025-03-21T20:22:32.3577210Z             getitem_23: "f32[1, 64, 35, 35]" = aten__native_batch_norm_legit_no_training_default_21[0];  aten__native_batch_norm_legit_no_training_default_21 = None
2025-03-21T20:22:32.3578817Z             
2025-03-21T20:22:32.3580057Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.3581598Z             aten_relu_default_21: "f32[1, 64, 35, 35]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_23);  getitem_23 = None
2025-03-21T20:22:32.3582478Z             
2025-03-21T20:22:32.3583366Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.3585504Z             aten_convolution_default_22: "f32[1, 96, 35, 35]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_21, p_features_7_branch2_1_conv_weight, None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1);  aten_relu_default_21 = p_features_7_branch2_1_conv_weight = None
2025-03-21T20:22:32.3587087Z             
2025-03-21T20:22:32.3587986Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.3591578Z             aten__native_batch_norm_legit_no_training_default_22 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_22, p_features_7_branch2_1_bn_weight, p_features_7_branch2_1_bn_bias, b_features_7_branch2_1_bn_running_mean, b_features_7_branch2_1_bn_running_var, 0.1, 0.001);  aten_convolution_default_22 = p_features_7_branch2_1_bn_weight = p_features_7_branch2_1_bn_bias = b_features_7_branch2_1_bn_running_mean = b_features_7_branch2_1_bn_running_var = None
2025-03-21T20:22:32.3595086Z             getitem_24: "f32[1, 96, 35, 35]" = aten__native_batch_norm_legit_no_training_default_22[0];  aten__native_batch_norm_legit_no_training_default_22 = None
2025-03-21T20:22:32.3596197Z             
2025-03-21T20:22:32.3597089Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.3598542Z             aten_relu_default_22: "f32[1, 96, 35, 35]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_24);  getitem_24 = None
2025-03-21T20:22:32.3599490Z             
2025-03-21T20:22:32.3600430Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.3602501Z             aten_convolution_default_23: "f32[1, 96, 35, 35]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_22, p_features_7_branch2_2_conv_weight, None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1);  aten_relu_default_22 = p_features_7_branch2_2_conv_weight = None
2025-03-21T20:22:32.3604356Z             
2025-03-21T20:22:32.3605277Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.3608960Z             aten__native_batch_norm_legit_no_training_default_23 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_23, p_features_7_branch2_2_bn_weight, p_features_7_branch2_2_bn_bias, b_features_7_branch2_2_bn_running_mean, b_features_7_branch2_2_bn_running_var, 0.1, 0.001);  aten_convolution_default_23 = p_features_7_branch2_2_bn_weight = p_features_7_branch2_2_bn_bias = b_features_7_branch2_2_bn_running_mean = b_features_7_branch2_2_bn_running_var = None
2025-03-21T20:22:32.3612625Z             getitem_25: "f32[1, 96, 35, 35]" = aten__native_batch_norm_legit_no_training_default_23[0];  aten__native_batch_norm_legit_no_training_default_23 = None
2025-03-21T20:22:32.3613751Z             
2025-03-21T20:22:32.3614630Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.3616465Z             aten_relu_default_23: "f32[1, 96, 35, 35]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_25);  getitem_25 = None
2025-03-21T20:22:32.3617597Z             
2025-03-21T20:22:32.3618744Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/inception_v4.py:92 in forward, code: x3 = self.branch3(x)
2025-03-21T20:22:32.3620654Z             aten_avg_pool2d_default_1: "f32[1, 384, 35, 35]" = executorch_exir_dialects_edge__ops_aten_avg_pool2d_default(aten_cat_default_3, [3, 3], [1, 1], [1, 1], False, False);  aten_cat_default_3 = None
2025-03-21T20:22:32.3621866Z             
2025-03-21T20:22:32.3622981Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.3625052Z             aten_convolution_default_24: "f32[1, 96, 35, 35]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_avg_pool2d_default_1, p_features_7_branch3_1_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_avg_pool2d_default_1 = p_features_7_branch3_1_conv_weight = None
2025-03-21T20:22:32.3626637Z             
2025-03-21T20:22:32.3627608Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.3631333Z             aten__native_batch_norm_legit_no_training_default_24 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_24, p_features_7_branch3_1_bn_weight, p_features_7_branch3_1_bn_bias, b_features_7_branch3_1_bn_running_mean, b_features_7_branch3_1_bn_running_var, 0.1, 0.001);  aten_convolution_default_24 = p_features_7_branch3_1_bn_weight = p_features_7_branch3_1_bn_bias = b_features_7_branch3_1_bn_running_mean = b_features_7_branch3_1_bn_running_var = None
2025-03-21T20:22:32.3635042Z             getitem_26: "f32[1, 96, 35, 35]" = aten__native_batch_norm_legit_no_training_default_24[0];  aten__native_batch_norm_legit_no_training_default_24 = None
2025-03-21T20:22:32.3635972Z             
2025-03-21T20:22:32.3636918Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.3638215Z             aten_relu_default_24: "f32[1, 96, 35, 35]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_26);  getitem_26 = None
2025-03-21T20:22:32.3639080Z             
2025-03-21T20:22:32.3640438Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/inception_v4.py:93 in forward, code: out = torch.cat((x0, x1, x2, x3), 1)
2025-03-21T20:22:32.3642941Z             aten_cat_default_4: "f32[1, 384, 35, 35]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_relu_default_18, aten_relu_default_20, aten_relu_default_23, aten_relu_default_24], 1);  aten_relu_default_18 = aten_relu_default_20 = aten_relu_default_23 = aten_relu_default_24 = None
2025-03-21T20:22:32.3644487Z             
2025-03-21T20:22:32.3645336Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.3647440Z             aten_convolution_default_25: "f32[1, 96, 35, 35]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_cat_default_4, p_features_8_branch0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  p_features_8_branch0_conv_weight = None
2025-03-21T20:22:32.3648858Z             
2025-03-21T20:22:32.3649665Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.3652915Z             aten__native_batch_norm_legit_no_training_default_25 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_25, p_features_8_branch0_bn_weight, p_features_8_branch0_bn_bias, b_features_8_branch0_bn_running_mean, b_features_8_branch0_bn_running_var, 0.1, 0.001);  aten_convolution_default_25 = p_features_8_branch0_bn_weight = p_features_8_branch0_bn_bias = b_features_8_branch0_bn_running_mean = b_features_8_branch0_bn_running_var = None
2025-03-21T20:22:32.3656937Z             getitem_27: "f32[1, 96, 35, 35]" = aten__native_batch_norm_legit_no_training_default_25[0];  aten__native_batch_norm_legit_no_training_default_25 = None
2025-03-21T20:22:32.3657968Z             
2025-03-21T20:22:32.3658947Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.3660456Z             aten_relu_default_25: "f32[1, 96, 35, 35]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_27);  getitem_27 = None
2025-03-21T20:22:32.3661369Z             
2025-03-21T20:22:32.3662281Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.3664539Z             aten_convolution_default_26: "f32[1, 64, 35, 35]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_cat_default_4, p_features_8_branch1_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  p_features_8_branch1_0_conv_weight = None
2025-03-21T20:22:32.3666003Z             
2025-03-21T20:22:32.3666944Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.3670612Z             aten__native_batch_norm_legit_no_training_default_26 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_26, p_features_8_branch1_0_bn_weight, p_features_8_branch1_0_bn_bias, b_features_8_branch1_0_bn_running_mean, b_features_8_branch1_0_bn_running_var, 0.1, 0.001);  aten_convolution_default_26 = p_features_8_branch1_0_bn_weight = p_features_8_branch1_0_bn_bias = b_features_8_branch1_0_bn_running_mean = b_features_8_branch1_0_bn_running_var = None
2025-03-21T20:22:32.3674096Z             getitem_28: "f32[1, 64, 35, 35]" = aten__native_batch_norm_legit_no_training_default_26[0];  aten__native_batch_norm_legit_no_training_default_26 = None
2025-03-21T20:22:32.3675085Z             
2025-03-21T20:22:32.3676074Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.3677434Z             aten_relu_default_26: "f32[1, 64, 35, 35]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_28);  getitem_28 = None
2025-03-21T20:22:32.3678348Z             
2025-03-21T20:22:32.3679296Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.3681757Z             aten_convolution_default_27: "f32[1, 96, 35, 35]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_26, p_features_8_branch1_1_conv_weight, None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1);  aten_relu_default_26 = p_features_8_branch1_1_conv_weight = None
2025-03-21T20:22:32.3683440Z             
2025-03-21T20:22:32.3684424Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.3688237Z             aten__native_batch_norm_legit_no_training_default_27 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_27, p_features_8_branch1_1_bn_weight, p_features_8_branch1_1_bn_bias, b_features_8_branch1_1_bn_running_mean, b_features_8_branch1_1_bn_running_var, 0.1, 0.001);  aten_convolution_default_27 = p_features_8_branch1_1_bn_weight = p_features_8_branch1_1_bn_bias = b_features_8_branch1_1_bn_running_mean = b_features_8_branch1_1_bn_running_var = None
2025-03-21T20:22:32.3691965Z             getitem_29: "f32[1, 96, 35, 35]" = aten__native_batch_norm_legit_no_training_default_27[0];  aten__native_batch_norm_legit_no_training_default_27 = None
2025-03-21T20:22:32.3693185Z             
2025-03-21T20:22:32.3694080Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.3695862Z             aten_relu_default_27: "f32[1, 96, 35, 35]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_29);  getitem_29 = None
2025-03-21T20:22:32.3696774Z             
2025-03-21T20:22:32.3697668Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.3699857Z             aten_convolution_default_28: "f32[1, 64, 35, 35]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_cat_default_4, p_features_8_branch2_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  p_features_8_branch2_0_conv_weight = None
2025-03-21T20:22:32.3701548Z             
2025-03-21T20:22:32.3702510Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.3706185Z             aten__native_batch_norm_legit_no_training_default_28 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_28, p_features_8_branch2_0_bn_weight, p_features_8_branch2_0_bn_bias, b_features_8_branch2_0_bn_running_mean, b_features_8_branch2_0_bn_running_var, 0.1, 0.001);  aten_convolution_default_28 = p_features_8_branch2_0_bn_weight = p_features_8_branch2_0_bn_bias = b_features_8_branch2_0_bn_running_mean = b_features_8_branch2_0_bn_running_var = None
2025-03-21T20:22:32.3709545Z             getitem_30: "f32[1, 64, 35, 35]" = aten__native_batch_norm_legit_no_training_default_28[0];  aten__native_batch_norm_legit_no_training_default_28 = None
2025-03-21T20:22:32.3710618Z             
2025-03-21T20:22:32.3711454Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.3712968Z             aten_relu_default_28: "f32[1, 64, 35, 35]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_30);  getitem_30 = None
2025-03-21T20:22:32.3713893Z             
2025-03-21T20:22:32.3714762Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.3716921Z             aten_convolution_default_29: "f32[1, 96, 35, 35]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_28, p_features_8_branch2_1_conv_weight, None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1);  aten_relu_default_28 = p_features_8_branch2_1_conv_weight = None
2025-03-21T20:22:32.3718660Z             
2025-03-21T20:22:32.3719597Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.3723306Z             aten__native_batch_norm_legit_no_training_default_29 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_29, p_features_8_branch2_1_bn_weight, p_features_8_branch2_1_bn_bias, b_features_8_branch2_1_bn_running_mean, b_features_8_branch2_1_bn_running_var, 0.1, 0.001);  aten_convolution_default_29 = p_features_8_branch2_1_bn_weight = p_features_8_branch2_1_bn_bias = b_features_8_branch2_1_bn_running_mean = b_features_8_branch2_1_bn_running_var = None
2025-03-21T20:22:32.3726931Z             getitem_31: "f32[1, 96, 35, 35]" = aten__native_batch_norm_legit_no_training_default_29[0];  aten__native_batch_norm_legit_no_training_default_29 = None
2025-03-21T20:22:32.3727881Z             
2025-03-21T20:22:32.3728843Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.3730142Z             aten_relu_default_29: "f32[1, 96, 35, 35]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_31);  getitem_31 = None
2025-03-21T20:22:32.3731488Z             
2025-03-21T20:22:32.3732415Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.3734887Z             aten_convolution_default_30: "f32[1, 96, 35, 35]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_29, p_features_8_branch2_2_conv_weight, None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1);  aten_relu_default_29 = p_features_8_branch2_2_conv_weight = None
2025-03-21T20:22:32.3736642Z             
2025-03-21T20:22:32.3737550Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.3741380Z             aten__native_batch_norm_legit_no_training_default_30 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_30, p_features_8_branch2_2_bn_weight, p_features_8_branch2_2_bn_bias, b_features_8_branch2_2_bn_running_mean, b_features_8_branch2_2_bn_running_var, 0.1, 0.001);  aten_convolution_default_30 = p_features_8_branch2_2_bn_weight = p_features_8_branch2_2_bn_bias = b_features_8_branch2_2_bn_running_mean = b_features_8_branch2_2_bn_running_var = None
2025-03-21T20:22:32.3744858Z             getitem_32: "f32[1, 96, 35, 35]" = aten__native_batch_norm_legit_no_training_default_30[0];  aten__native_batch_norm_legit_no_training_default_30 = None
2025-03-21T20:22:32.3745887Z             
2025-03-21T20:22:32.3746769Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.3748301Z             aten_relu_default_30: "f32[1, 96, 35, 35]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_32);  getitem_32 = None
2025-03-21T20:22:32.3749239Z             
2025-03-21T20:22:32.3750196Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/inception_v4.py:92 in forward, code: x3 = self.branch3(x)
2025-03-21T20:22:32.3751954Z             aten_avg_pool2d_default_2: "f32[1, 384, 35, 35]" = executorch_exir_dialects_edge__ops_aten_avg_pool2d_default(aten_cat_default_4, [3, 3], [1, 1], [1, 1], False, False);  aten_cat_default_4 = None
2025-03-21T20:22:32.3753042Z             
2025-03-21T20:22:32.3754018Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.3756172Z             aten_convolution_default_31: "f32[1, 96, 35, 35]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_avg_pool2d_default_2, p_features_8_branch3_1_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_avg_pool2d_default_2 = p_features_8_branch3_1_conv_weight = None
2025-03-21T20:22:32.3757798Z             
2025-03-21T20:22:32.3758810Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.3762362Z             aten__native_batch_norm_legit_no_training_default_31 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_31, p_features_8_branch3_1_bn_weight, p_features_8_branch3_1_bn_bias, b_features_8_branch3_1_bn_running_mean, b_features_8_branch3_1_bn_running_var, 0.1, 0.001);  aten_convolution_default_31 = p_features_8_branch3_1_bn_weight = p_features_8_branch3_1_bn_bias = b_features_8_branch3_1_bn_running_mean = b_features_8_branch3_1_bn_running_var = None
2025-03-21T20:22:32.3766144Z             getitem_33: "f32[1, 96, 35, 35]" = aten__native_batch_norm_legit_no_training_default_31[0];  aten__native_batch_norm_legit_no_training_default_31 = None
2025-03-21T20:22:32.3767104Z             
2025-03-21T20:22:32.3767896Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.3769706Z             aten_relu_default_31: "f32[1, 96, 35, 35]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_33);  getitem_33 = None
2025-03-21T20:22:32.3770640Z             
2025-03-21T20:22:32.3771904Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/inception_v4.py:93 in forward, code: out = torch.cat((x0, x1, x2, x3), 1)
2025-03-21T20:22:32.3774122Z             aten_cat_default_5: "f32[1, 384, 35, 35]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_relu_default_25, aten_relu_default_27, aten_relu_default_30, aten_relu_default_31], 1);  aten_relu_default_25 = aten_relu_default_27 = aten_relu_default_30 = aten_relu_default_31 = None
2025-03-21T20:22:32.3775923Z             
2025-03-21T20:22:32.3776802Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.3778917Z             aten_convolution_default_32: "f32[1, 96, 35, 35]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_cat_default_5, p_features_9_branch0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  p_features_9_branch0_conv_weight = None
2025-03-21T20:22:32.3780343Z             
2025-03-21T20:22:32.3781287Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.3784700Z             aten__native_batch_norm_legit_no_training_default_32 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_32, p_features_9_branch0_bn_weight, p_features_9_branch0_bn_bias, b_features_9_branch0_bn_running_mean, b_features_9_branch0_bn_running_var, 0.1, 0.001);  aten_convolution_default_32 = p_features_9_branch0_bn_weight = p_features_9_branch0_bn_bias = b_features_9_branch0_bn_running_mean = b_features_9_branch0_bn_running_var = None
2025-03-21T20:22:32.3788082Z             getitem_34: "f32[1, 96, 35, 35]" = aten__native_batch_norm_legit_no_training_default_32[0];  aten__native_batch_norm_legit_no_training_default_32 = None
2025-03-21T20:22:32.3789096Z             
2025-03-21T20:22:32.3789976Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.3791441Z             aten_relu_default_32: "f32[1, 96, 35, 35]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_34);  getitem_34 = None
2025-03-21T20:22:32.3792314Z             
2025-03-21T20:22:32.3793228Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.3795233Z             aten_convolution_default_33: "f32[1, 64, 35, 35]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_cat_default_5, p_features_9_branch1_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  p_features_9_branch1_0_conv_weight = None
2025-03-21T20:22:32.3796736Z             
2025-03-21T20:22:32.3797542Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.3801158Z             aten__native_batch_norm_legit_no_training_default_33 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_33, p_features_9_branch1_0_bn_weight, p_features_9_branch1_0_bn_bias, b_features_9_branch1_0_bn_running_mean, b_features_9_branch1_0_bn_running_var, 0.1, 0.001);  aten_convolution_default_33 = p_features_9_branch1_0_bn_weight = p_features_9_branch1_0_bn_bias = b_features_9_branch1_0_bn_running_mean = b_features_9_branch1_0_bn_running_var = None
2025-03-21T20:22:32.3804581Z             getitem_35: "f32[1, 64, 35, 35]" = aten__native_batch_norm_legit_no_training_default_33[0];  aten__native_batch_norm_legit_no_training_default_33 = None
2025-03-21T20:22:32.3805547Z             
2025-03-21T20:22:32.3806443Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.3808203Z             aten_relu_default_33: "f32[1, 64, 35, 35]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_35);  getitem_35 = None
2025-03-21T20:22:32.3809045Z             
2025-03-21T20:22:32.3809867Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.3811916Z             aten_convolution_default_34: "f32[1, 96, 35, 35]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_33, p_features_9_branch1_1_conv_weight, None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1);  aten_relu_default_33 = p_features_9_branch1_1_conv_weight = None
2025-03-21T20:22:32.3813449Z             
2025-03-21T20:22:32.3814263Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.3817551Z             aten__native_batch_norm_legit_no_training_default_34 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_34, p_features_9_branch1_1_bn_weight, p_features_9_branch1_1_bn_bias, b_features_9_branch1_1_bn_running_mean, b_features_9_branch1_1_bn_running_var, 0.1, 0.001);  aten_convolution_default_34 = p_features_9_branch1_1_bn_weight = p_features_9_branch1_1_bn_bias = b_features_9_branch1_1_bn_running_mean = b_features_9_branch1_1_bn_running_var = None
2025-03-21T20:22:32.3820901Z             getitem_36: "f32[1, 96, 35, 35]" = aten__native_batch_norm_legit_no_training_default_34[0];  aten__native_batch_norm_legit_no_training_default_34 = None
2025-03-21T20:22:32.3821930Z             
2025-03-21T20:22:32.3822789Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.3824177Z             aten_relu_default_34: "f32[1, 96, 35, 35]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_36);  getitem_36 = None
2025-03-21T20:22:32.3825060Z             
2025-03-21T20:22:32.3825882Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.3827818Z             aten_convolution_default_35: "f32[1, 64, 35, 35]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_cat_default_5, p_features_9_branch2_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  p_features_9_branch2_0_conv_weight = None
2025-03-21T20:22:32.3829213Z             
2025-03-21T20:22:32.3830071Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.3833423Z             aten__native_batch_norm_legit_no_training_default_35 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_35, p_features_9_branch2_0_bn_weight, p_features_9_branch2_0_bn_bias, b_features_9_branch2_0_bn_running_mean, b_features_9_branch2_0_bn_running_var, 0.1, 0.001);  aten_convolution_default_35 = p_features_9_branch2_0_bn_weight = p_features_9_branch2_0_bn_bias = b_features_9_branch2_0_bn_running_mean = b_features_9_branch2_0_bn_running_var = None
2025-03-21T20:22:32.3836775Z             getitem_37: "f32[1, 64, 35, 35]" = aten__native_batch_norm_legit_no_training_default_35[0];  aten__native_batch_norm_legit_no_training_default_35 = None
2025-03-21T20:22:32.3837783Z             
2025-03-21T20:22:32.3838586Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.3840215Z             aten_relu_default_35: "f32[1, 64, 35, 35]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_37);  getitem_37 = None
2025-03-21T20:22:32.3841085Z             
2025-03-21T20:22:32.3842039Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.3844630Z             aten_convolution_default_36: "f32[1, 96, 35, 35]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_35, p_features_9_branch2_1_conv_weight, None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1);  aten_relu_default_35 = p_features_9_branch2_1_conv_weight = None
2025-03-21T20:22:32.3846217Z             
2025-03-21T20:22:32.3847145Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.3850679Z             aten__native_batch_norm_legit_no_training_default_36 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_36, p_features_9_branch2_1_bn_weight, p_features_9_branch2_1_bn_bias, b_features_9_branch2_1_bn_running_mean, b_features_9_branch2_1_bn_running_var, 0.1, 0.001);  aten_convolution_default_36 = p_features_9_branch2_1_bn_weight = p_features_9_branch2_1_bn_bias = b_features_9_branch2_1_bn_running_mean = b_features_9_branch2_1_bn_running_var = None
2025-03-21T20:22:32.3854121Z             getitem_38: "f32[1, 96, 35, 35]" = aten__native_batch_norm_legit_no_training_default_36[0];  aten__native_batch_norm_legit_no_training_default_36 = None
2025-03-21T20:22:32.3855195Z             
2025-03-21T20:22:32.3856152Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.3857747Z             aten_relu_default_36: "f32[1, 96, 35, 35]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_38);  getitem_38 = None
2025-03-21T20:22:32.3858659Z             
2025-03-21T20:22:32.3859479Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.3861751Z             aten_convolution_default_37: "f32[1, 96, 35, 35]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_36, p_features_9_branch2_2_conv_weight, None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1);  aten_relu_default_36 = p_features_9_branch2_2_conv_weight = None
2025-03-21T20:22:32.3863414Z             
2025-03-21T20:22:32.3864229Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.3867539Z             aten__native_batch_norm_legit_no_training_default_37 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_37, p_features_9_branch2_2_bn_weight, p_features_9_branch2_2_bn_bias, b_features_9_branch2_2_bn_running_mean, b_features_9_branch2_2_bn_running_var, 0.1, 0.001);  aten_convolution_default_37 = p_features_9_branch2_2_bn_weight = p_features_9_branch2_2_bn_bias = b_features_9_branch2_2_bn_running_mean = b_features_9_branch2_2_bn_running_var = None
2025-03-21T20:22:32.3870826Z             getitem_39: "f32[1, 96, 35, 35]" = aten__native_batch_norm_legit_no_training_default_37[0];  aten__native_batch_norm_legit_no_training_default_37 = None
2025-03-21T20:22:32.3871825Z             
2025-03-21T20:22:32.3872739Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.3874041Z             aten_relu_default_37: "f32[1, 96, 35, 35]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_39);  getitem_39 = None
2025-03-21T20:22:32.3874857Z             
2025-03-21T20:22:32.3875864Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/inception_v4.py:92 in forward, code: x3 = self.branch3(x)
2025-03-21T20:22:32.3877642Z             aten_avg_pool2d_default_3: "f32[1, 384, 35, 35]" = executorch_exir_dialects_edge__ops_aten_avg_pool2d_default(aten_cat_default_5, [3, 3], [1, 1], [1, 1], False, False);  aten_cat_default_5 = None
2025-03-21T20:22:32.3879086Z             
2025-03-21T20:22:32.3879942Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.3882285Z             aten_convolution_default_38: "f32[1, 96, 35, 35]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_avg_pool2d_default_3, p_features_9_branch3_1_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_avg_pool2d_default_3 = p_features_9_branch3_1_conv_weight = None
2025-03-21T20:22:32.3884056Z             
2025-03-21T20:22:32.3884867Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.3888543Z             aten__native_batch_norm_legit_no_training_default_38 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_38, p_features_9_branch3_1_bn_weight, p_features_9_branch3_1_bn_bias, b_features_9_branch3_1_bn_running_mean, b_features_9_branch3_1_bn_running_var, 0.1, 0.001);  aten_convolution_default_38 = p_features_9_branch3_1_bn_weight = p_features_9_branch3_1_bn_bias = b_features_9_branch3_1_bn_running_mean = b_features_9_branch3_1_bn_running_var = None
2025-03-21T20:22:32.3891958Z             getitem_40: "f32[1, 96, 35, 35]" = aten__native_batch_norm_legit_no_training_default_38[0];  aten__native_batch_norm_legit_no_training_default_38 = None
2025-03-21T20:22:32.3892872Z             
2025-03-21T20:22:32.3893755Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.3895280Z             aten_relu_default_38: "f32[1, 96, 35, 35]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_40);  getitem_40 = None
2025-03-21T20:22:32.3896169Z             
2025-03-21T20:22:32.3897118Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/inception_v4.py:93 in forward, code: out = torch.cat((x0, x1, x2, x3), 1)
2025-03-21T20:22:32.3899418Z             aten_cat_default_6: "f32[1, 384, 35, 35]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_relu_default_32, aten_relu_default_34, aten_relu_default_37, aten_relu_default_38], 1);  aten_relu_default_32 = aten_relu_default_34 = aten_relu_default_37 = aten_relu_default_38 = None
2025-03-21T20:22:32.3901207Z             
2025-03-21T20:22:32.3902169Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.3904306Z             aten_convolution_default_39: "f32[1, 384, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_cat_default_6, p_features_10_branch0_conv_weight, None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1);  p_features_10_branch0_conv_weight = None
2025-03-21T20:22:32.3905910Z             
2025-03-21T20:22:32.3906829Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.3910435Z             aten__native_batch_norm_legit_no_training_default_39 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_39, p_features_10_branch0_bn_weight, p_features_10_branch0_bn_bias, b_features_10_branch0_bn_running_mean, b_features_10_branch0_bn_running_var, 0.1, 0.001);  aten_convolution_default_39 = p_features_10_branch0_bn_weight = p_features_10_branch0_bn_bias = b_features_10_branch0_bn_running_mean = b_features_10_branch0_bn_running_var = None
2025-03-21T20:22:32.3913805Z             getitem_41: "f32[1, 384, 17, 17]" = aten__native_batch_norm_legit_no_training_default_39[0];  aten__native_batch_norm_legit_no_training_default_39 = None
2025-03-21T20:22:32.3914731Z             
2025-03-21T20:22:32.3915517Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.3917172Z             aten_relu_default_39: "f32[1, 384, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_41);  getitem_41 = None
2025-03-21T20:22:32.3917999Z             
2025-03-21T20:22:32.3918985Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.3921044Z             aten_convolution_default_40: "f32[1, 192, 35, 35]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_cat_default_6, p_features_10_branch1_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  p_features_10_branch1_0_conv_weight = None
2025-03-21T20:22:32.3922524Z             
2025-03-21T20:22:32.3923417Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.3927297Z             aten__native_batch_norm_legit_no_training_default_40 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_40, p_features_10_branch1_0_bn_weight, p_features_10_branch1_0_bn_bias, b_features_10_branch1_0_bn_running_mean, b_features_10_branch1_0_bn_running_var, 0.1, 0.001);  aten_convolution_default_40 = p_features_10_branch1_0_bn_weight = p_features_10_branch1_0_bn_bias = b_features_10_branch1_0_bn_running_mean = b_features_10_branch1_0_bn_running_var = None
2025-03-21T20:22:32.3930819Z             getitem_42: "f32[1, 192, 35, 35]" = aten__native_batch_norm_legit_no_training_default_40[0];  aten__native_batch_norm_legit_no_training_default_40 = None
2025-03-21T20:22:32.3931853Z             
2025-03-21T20:22:32.3932757Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.3934235Z             aten_relu_default_40: "f32[1, 192, 35, 35]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_42);  getitem_42 = None
2025-03-21T20:22:32.3935129Z             
2025-03-21T20:22:32.3936124Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.3938282Z             aten_convolution_default_41: "f32[1, 224, 35, 35]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_40, p_features_10_branch1_1_conv_weight, None, [1, 1], [1, 1], [1, 1], False, [0, 0], 1);  aten_relu_default_40 = p_features_10_branch1_1_conv_weight = None
2025-03-21T20:22:32.3940118Z             
2025-03-21T20:22:32.3940995Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.3944356Z             aten__native_batch_norm_legit_no_training_default_41 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_41, p_features_10_branch1_1_bn_weight, p_features_10_branch1_1_bn_bias, b_features_10_branch1_1_bn_running_mean, b_features_10_branch1_1_bn_running_var, 0.1, 0.001);  aten_convolution_default_41 = p_features_10_branch1_1_bn_weight = p_features_10_branch1_1_bn_bias = b_features_10_branch1_1_bn_running_mean = b_features_10_branch1_1_bn_running_var = None
2025-03-21T20:22:32.3947755Z             getitem_43: "f32[1, 224, 35, 35]" = aten__native_batch_norm_legit_no_training_default_41[0];  aten__native_batch_norm_legit_no_training_default_41 = None
2025-03-21T20:22:32.3948687Z             
2025-03-21T20:22:32.3949485Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.3950789Z             aten_relu_default_41: "f32[1, 224, 35, 35]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_43);  getitem_43 = None
2025-03-21T20:22:32.3951680Z             
2025-03-21T20:22:32.3952583Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.3955203Z             aten_convolution_default_42: "f32[1, 256, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_41, p_features_10_branch1_2_conv_weight, None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1);  aten_relu_default_41 = p_features_10_branch1_2_conv_weight = None
2025-03-21T20:22:32.3956853Z             
2025-03-21T20:22:32.3957730Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.3961056Z             aten__native_batch_norm_legit_no_training_default_42 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_42, p_features_10_branch1_2_bn_weight, p_features_10_branch1_2_bn_bias, b_features_10_branch1_2_bn_running_mean, b_features_10_branch1_2_bn_running_var, 0.1, 0.001);  aten_convolution_default_42 = p_features_10_branch1_2_bn_weight = p_features_10_branch1_2_bn_bias = b_features_10_branch1_2_bn_running_mean = b_features_10_branch1_2_bn_running_var = None
2025-03-21T20:22:32.3964437Z             getitem_44: "f32[1, 256, 17, 17]" = aten__native_batch_norm_legit_no_training_default_42[0];  aten__native_batch_norm_legit_no_training_default_42 = None
2025-03-21T20:22:32.3965357Z             
2025-03-21T20:22:32.3966226Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.3967633Z             aten_relu_default_42: "f32[1, 256, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_44);  getitem_44 = None
2025-03-21T20:22:32.3968477Z             
2025-03-21T20:22:32.3969383Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/inception_v4.py:113 in forward, code: x2 = self.branch2(x)
2025-03-21T20:22:32.3971075Z             aten_max_pool2d_with_indices_default_2 = executorch_exir_dialects_edge__ops_aten_max_pool2d_with_indices_default(aten_cat_default_6, [3, 3], [2, 2]);  aten_cat_default_6 = None
2025-03-21T20:22:32.3972668Z             getitem_45: "f32[1, 384, 17, 17]" = aten_max_pool2d_with_indices_default_2[0];  aten_max_pool2d_with_indices_default_2 = None
2025-03-21T20:22:32.3973517Z             
2025-03-21T20:22:32.3974479Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/inception_v4.py:114 in forward, code: out = torch.cat((x0, x1, x2), 1)
2025-03-21T20:22:32.3976433Z             aten_cat_default_7: "f32[1, 1024, 17, 17]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_relu_default_39, aten_relu_default_42, getitem_45], 1);  aten_relu_default_39 = aten_relu_default_42 = getitem_45 = None
2025-03-21T20:22:32.3977846Z             
2025-03-21T20:22:32.3978787Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.3980972Z             aten_convolution_default_43: "f32[1, 384, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_cat_default_7, p_features_11_branch0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  p_features_11_branch0_conv_weight = None
2025-03-21T20:22:32.3982618Z             
2025-03-21T20:22:32.3983603Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.3986963Z             aten__native_batch_norm_legit_no_training_default_43 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_43, p_features_11_branch0_bn_weight, p_features_11_branch0_bn_bias, b_features_11_branch0_bn_running_mean, b_features_11_branch0_bn_running_var, 0.1, 0.001);  aten_convolution_default_43 = p_features_11_branch0_bn_weight = p_features_11_branch0_bn_bias = b_features_11_branch0_bn_running_mean = b_features_11_branch0_bn_running_var = None
2025-03-21T20:22:32.3990581Z             getitem_46: "f32[1, 384, 17, 17]" = aten__native_batch_norm_legit_no_training_default_43[0];  aten__native_batch_norm_legit_no_training_default_43 = None
2025-03-21T20:22:32.3991676Z             
2025-03-21T20:22:32.3992719Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.3994042Z             aten_relu_default_43: "f32[1, 384, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_46);  getitem_46 = None
2025-03-21T20:22:32.3994873Z             
2025-03-21T20:22:32.3995811Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.3997903Z             aten_convolution_default_44: "f32[1, 192, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_cat_default_7, p_features_11_branch1_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  p_features_11_branch1_0_conv_weight = None
2025-03-21T20:22:32.3999587Z             
2025-03-21T20:22:32.4000525Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.4004225Z             aten__native_batch_norm_legit_no_training_default_44 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_44, p_features_11_branch1_0_bn_weight, p_features_11_branch1_0_bn_bias, b_features_11_branch1_0_bn_running_mean, b_features_11_branch1_0_bn_running_var, 0.1, 0.001);  aten_convolution_default_44 = p_features_11_branch1_0_bn_weight = p_features_11_branch1_0_bn_bias = b_features_11_branch1_0_bn_running_mean = b_features_11_branch1_0_bn_running_var = None
2025-03-21T20:22:32.4008214Z             getitem_47: "f32[1, 192, 17, 17]" = aten__native_batch_norm_legit_no_training_default_44[0];  aten__native_batch_norm_legit_no_training_default_44 = None
2025-03-21T20:22:32.4009241Z             
2025-03-21T20:22:32.4010088Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.4011400Z             aten_relu_default_44: "f32[1, 192, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_47);  getitem_47 = None
2025-03-21T20:22:32.4012212Z             
2025-03-21T20:22:32.4013210Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.4015391Z             aten_convolution_default_45: "f32[1, 224, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_44, p_features_11_branch1_1_conv_weight, None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1);  aten_relu_default_44 = p_features_11_branch1_1_conv_weight = None
2025-03-21T20:22:32.4016868Z             
2025-03-21T20:22:32.4017670Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.4021268Z             aten__native_batch_norm_legit_no_training_default_45 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_45, p_features_11_branch1_1_bn_weight, p_features_11_branch1_1_bn_bias, b_features_11_branch1_1_bn_running_mean, b_features_11_branch1_1_bn_running_var, 0.1, 0.001);  aten_convolution_default_45 = p_features_11_branch1_1_bn_weight = p_features_11_branch1_1_bn_bias = b_features_11_branch1_1_bn_running_mean = b_features_11_branch1_1_bn_running_var = None
2025-03-21T20:22:32.4024591Z             getitem_48: "f32[1, 224, 17, 17]" = aten__native_batch_norm_legit_no_training_default_45[0];  aten__native_batch_norm_legit_no_training_default_45 = None
2025-03-21T20:22:32.4025624Z             
2025-03-21T20:22:32.4026542Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.4028400Z             aten_relu_default_45: "f32[1, 224, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_48);  getitem_48 = None
2025-03-21T20:22:32.4029290Z             
2025-03-21T20:22:32.4030283Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.4032584Z             aten_convolution_default_46: "f32[1, 256, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_45, p_features_11_branch1_2_conv_weight, None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1);  aten_relu_default_45 = p_features_11_branch1_2_conv_weight = None
2025-03-21T20:22:32.4034212Z             
2025-03-21T20:22:32.4035017Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.4038402Z             aten__native_batch_norm_legit_no_training_default_46 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_46, p_features_11_branch1_2_bn_weight, p_features_11_branch1_2_bn_bias, b_features_11_branch1_2_bn_running_mean, b_features_11_branch1_2_bn_running_var, 0.1, 0.001);  aten_convolution_default_46 = p_features_11_branch1_2_bn_weight = p_features_11_branch1_2_bn_bias = b_features_11_branch1_2_bn_running_mean = b_features_11_branch1_2_bn_running_var = None
2025-03-21T20:22:32.4042117Z             getitem_49: "f32[1, 256, 17, 17]" = aten__native_batch_norm_legit_no_training_default_46[0];  aten__native_batch_norm_legit_no_training_default_46 = None
2025-03-21T20:22:32.4043029Z             
2025-03-21T20:22:32.4043900Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.4045244Z             aten_relu_default_46: "f32[1, 256, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_49);  getitem_49 = None
2025-03-21T20:22:32.4046154Z             
2025-03-21T20:22:32.4046966Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.4048916Z             aten_convolution_default_47: "f32[1, 192, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_cat_default_7, p_features_11_branch2_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  p_features_11_branch2_0_conv_weight = None
2025-03-21T20:22:32.4050300Z             
2025-03-21T20:22:32.4051185Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.4054432Z             aten__native_batch_norm_legit_no_training_default_47 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_47, p_features_11_branch2_0_bn_weight, p_features_11_branch2_0_bn_bias, b_features_11_branch2_0_bn_running_mean, b_features_11_branch2_0_bn_running_var, 0.1, 0.001);  aten_convolution_default_47 = p_features_11_branch2_0_bn_weight = p_features_11_branch2_0_bn_bias = b_features_11_branch2_0_bn_running_mean = b_features_11_branch2_0_bn_running_var = None
2025-03-21T20:22:32.4057866Z             getitem_50: "f32[1, 192, 17, 17]" = aten__native_batch_norm_legit_no_training_default_47[0];  aten__native_batch_norm_legit_no_training_default_47 = None
2025-03-21T20:22:32.4058789Z             
2025-03-21T20:22:32.4059652Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.4061125Z             aten_relu_default_47: "f32[1, 192, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_50);  getitem_50 = None
2025-03-21T20:22:32.4062135Z             
2025-03-21T20:22:32.4063407Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.4066055Z             aten_convolution_default_48: "f32[1, 192, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_47, p_features_11_branch2_1_conv_weight, None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1);  aten_relu_default_47 = p_features_11_branch2_1_conv_weight = None
2025-03-21T20:22:32.4067690Z             
2025-03-21T20:22:32.4068620Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.4072119Z             aten__native_batch_norm_legit_no_training_default_48 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_48, p_features_11_branch2_1_bn_weight, p_features_11_branch2_1_bn_bias, b_features_11_branch2_1_bn_running_mean, b_features_11_branch2_1_bn_running_var, 0.1, 0.001);  aten_convolution_default_48 = p_features_11_branch2_1_bn_weight = p_features_11_branch2_1_bn_bias = b_features_11_branch2_1_bn_running_mean = b_features_11_branch2_1_bn_running_var = None
2025-03-21T20:22:32.4075853Z             getitem_51: "f32[1, 192, 17, 17]" = aten__native_batch_norm_legit_no_training_default_48[0];  aten__native_batch_norm_legit_no_training_default_48 = None
2025-03-21T20:22:32.4076864Z             
2025-03-21T20:22:32.4077756Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.4079252Z             aten_relu_default_48: "f32[1, 192, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_51);  getitem_51 = None
2025-03-21T20:22:32.4080079Z             
2025-03-21T20:22:32.4081003Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.4083157Z             aten_convolution_default_49: "f32[1, 224, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_48, p_features_11_branch2_2_conv_weight, None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1);  aten_relu_default_48 = p_features_11_branch2_2_conv_weight = None
2025-03-21T20:22:32.4084890Z             
2025-03-21T20:22:32.4085889Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.4089530Z             aten__native_batch_norm_legit_no_training_default_49 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_49, p_features_11_branch2_2_bn_weight, p_features_11_branch2_2_bn_bias, b_features_11_branch2_2_bn_running_mean, b_features_11_branch2_2_bn_running_var, 0.1, 0.001);  aten_convolution_default_49 = p_features_11_branch2_2_bn_weight = p_features_11_branch2_2_bn_bias = b_features_11_branch2_2_bn_running_mean = b_features_11_branch2_2_bn_running_var = None
2025-03-21T20:22:32.4092960Z             getitem_52: "f32[1, 224, 17, 17]" = aten__native_batch_norm_legit_no_training_default_49[0];  aten__native_batch_norm_legit_no_training_default_49 = None
2025-03-21T20:22:32.4093924Z             
2025-03-21T20:22:32.4094847Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.4096298Z             aten_relu_default_49: "f32[1, 224, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_52);  getitem_52 = None
2025-03-21T20:22:32.4097196Z             
2025-03-21T20:22:32.4098090Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.4100287Z             aten_convolution_default_50: "f32[1, 224, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_49, p_features_11_branch2_3_conv_weight, None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1);  aten_relu_default_49 = p_features_11_branch2_3_conv_weight = None
2025-03-21T20:22:32.4102511Z             
2025-03-21T20:22:32.4103444Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.4107397Z             aten__native_batch_norm_legit_no_training_default_50 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_50, p_features_11_branch2_3_bn_weight, p_features_11_branch2_3_bn_bias, b_features_11_branch2_3_bn_running_mean, b_features_11_branch2_3_bn_running_var, 0.1, 0.001);  aten_convolution_default_50 = p_features_11_branch2_3_bn_weight = p_features_11_branch2_3_bn_bias = b_features_11_branch2_3_bn_running_mean = b_features_11_branch2_3_bn_running_var = None
2025-03-21T20:22:32.4110956Z             getitem_53: "f32[1, 224, 17, 17]" = aten__native_batch_norm_legit_no_training_default_50[0];  aten__native_batch_norm_legit_no_training_default_50 = None
2025-03-21T20:22:32.4111993Z             
2025-03-21T20:22:32.4112915Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.4114417Z             aten_relu_default_50: "f32[1, 224, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_53);  getitem_53 = None
2025-03-21T20:22:32.4115333Z             
2025-03-21T20:22:32.4116219Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.4118358Z             aten_convolution_default_51: "f32[1, 256, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_50, p_features_11_branch2_4_conv_weight, None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1);  aten_relu_default_50 = p_features_11_branch2_4_conv_weight = None
2025-03-21T20:22:32.4119962Z             
2025-03-21T20:22:32.4120929Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.4124683Z             aten__native_batch_norm_legit_no_training_default_51 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_51, p_features_11_branch2_4_bn_weight, p_features_11_branch2_4_bn_bias, b_features_11_branch2_4_bn_running_mean, b_features_11_branch2_4_bn_running_var, 0.1, 0.001);  aten_convolution_default_51 = p_features_11_branch2_4_bn_weight = p_features_11_branch2_4_bn_bias = b_features_11_branch2_4_bn_running_mean = b_features_11_branch2_4_bn_running_var = None
2025-03-21T20:22:32.4147855Z             getitem_54: "f32[1, 256, 17, 17]" = aten__native_batch_norm_legit_no_training_default_51[0];  aten__native_batch_norm_legit_no_training_default_51 = None
2025-03-21T20:22:32.4148801Z             
2025-03-21T20:22:32.4149684Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.4151040Z             aten_relu_default_51: "f32[1, 256, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_54);  getitem_54 = None
2025-03-21T20:22:32.4151922Z             
2025-03-21T20:22:32.4152866Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/inception_v4.py:146 in forward, code: x3 = self.branch3(x)
2025-03-21T20:22:32.4154686Z             aten_avg_pool2d_default_4: "f32[1, 1024, 17, 17]" = executorch_exir_dialects_edge__ops_aten_avg_pool2d_default(aten_cat_default_7, [3, 3], [1, 1], [1, 1], False, False);  aten_cat_default_7 = None
2025-03-21T20:22:32.4155783Z             
2025-03-21T20:22:32.4156697Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.4158866Z             aten_convolution_default_52: "f32[1, 128, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_avg_pool2d_default_4, p_features_11_branch3_1_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_avg_pool2d_default_4 = p_features_11_branch3_1_conv_weight = None
2025-03-21T20:22:32.4161069Z             
2025-03-21T20:22:32.4162071Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.4165651Z             aten__native_batch_norm_legit_no_training_default_52 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_52, p_features_11_branch3_1_bn_weight, p_features_11_branch3_1_bn_bias, b_features_11_branch3_1_bn_running_mean, b_features_11_branch3_1_bn_running_var, 0.1, 0.001);  aten_convolution_default_52 = p_features_11_branch3_1_bn_weight = p_features_11_branch3_1_bn_bias = b_features_11_branch3_1_bn_running_mean = b_features_11_branch3_1_bn_running_var = None
2025-03-21T20:22:32.4169265Z             getitem_55: "f32[1, 128, 17, 17]" = aten__native_batch_norm_legit_no_training_default_52[0];  aten__native_batch_norm_legit_no_training_default_52 = None
2025-03-21T20:22:32.4170429Z             
2025-03-21T20:22:32.4171303Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.4172628Z             aten_relu_default_52: "f32[1, 128, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_55);  getitem_55 = None
2025-03-21T20:22:32.4173459Z             
2025-03-21T20:22:32.4174390Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/inception_v4.py:147 in forward, code: out = torch.cat((x0, x1, x2, x3), 1)
2025-03-21T20:22:32.4176704Z             aten_cat_default_8: "f32[1, 1024, 17, 17]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_relu_default_43, aten_relu_default_46, aten_relu_default_51, aten_relu_default_52], 1);  aten_relu_default_43 = aten_relu_default_46 = aten_relu_default_51 = aten_relu_default_52 = None
2025-03-21T20:22:32.4178573Z             
2025-03-21T20:22:32.4179490Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.4181558Z             aten_convolution_default_53: "f32[1, 384, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_cat_default_8, p_features_12_branch0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  p_features_12_branch0_conv_weight = None
2025-03-21T20:22:32.4183039Z             
2025-03-21T20:22:32.4183858Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.4187323Z             aten__native_batch_norm_legit_no_training_default_53 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_53, p_features_12_branch0_bn_weight, p_features_12_branch0_bn_bias, b_features_12_branch0_bn_running_mean, b_features_12_branch0_bn_running_var, 0.1, 0.001);  aten_convolution_default_53 = p_features_12_branch0_bn_weight = p_features_12_branch0_bn_bias = b_features_12_branch0_bn_running_mean = b_features_12_branch0_bn_running_var = None
2025-03-21T20:22:32.4190960Z             getitem_56: "f32[1, 384, 17, 17]" = aten__native_batch_norm_legit_no_training_default_53[0];  aten__native_batch_norm_legit_no_training_default_53 = None
2025-03-21T20:22:32.4192108Z             
2025-03-21T20:22:32.4193074Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.4194482Z             aten_relu_default_53: "f32[1, 384, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_56);  getitem_56 = None
2025-03-21T20:22:32.4195398Z             
2025-03-21T20:22:32.4196393Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.4198918Z             aten_convolution_default_54: "f32[1, 192, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_cat_default_8, p_features_12_branch1_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  p_features_12_branch1_0_conv_weight = None
2025-03-21T20:22:32.4200540Z             
2025-03-21T20:22:32.4201613Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.4205739Z             aten__native_batch_norm_legit_no_training_default_54 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_54, p_features_12_branch1_0_bn_weight, p_features_12_branch1_0_bn_bias, b_features_12_branch1_0_bn_running_mean, b_features_12_branch1_0_bn_running_var, 0.1, 0.001);  aten_convolution_default_54 = p_features_12_branch1_0_bn_weight = p_features_12_branch1_0_bn_bias = b_features_12_branch1_0_bn_running_mean = b_features_12_branch1_0_bn_running_var = None
2025-03-21T20:22:32.4209310Z             getitem_57: "f32[1, 192, 17, 17]" = aten__native_batch_norm_legit_no_training_default_54[0];  aten__native_batch_norm_legit_no_training_default_54 = None
2025-03-21T20:22:32.4210416Z             
2025-03-21T20:22:32.4211434Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.4212927Z             aten_relu_default_54: "f32[1, 192, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_57);  getitem_57 = None
2025-03-21T20:22:32.4213863Z             
2025-03-21T20:22:32.4214787Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.4216899Z             aten_convolution_default_55: "f32[1, 224, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_54, p_features_12_branch1_1_conv_weight, None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1);  aten_relu_default_54 = p_features_12_branch1_1_conv_weight = None
2025-03-21T20:22:32.4218553Z             
2025-03-21T20:22:32.4219373Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.4222822Z             aten__native_batch_norm_legit_no_training_default_55 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_55, p_features_12_branch1_1_bn_weight, p_features_12_branch1_1_bn_bias, b_features_12_branch1_1_bn_running_mean, b_features_12_branch1_1_bn_running_var, 0.1, 0.001);  aten_convolution_default_55 = p_features_12_branch1_1_bn_weight = p_features_12_branch1_1_bn_bias = b_features_12_branch1_1_bn_running_mean = b_features_12_branch1_1_bn_running_var = None
2025-03-21T20:22:32.4226230Z             getitem_58: "f32[1, 224, 17, 17]" = aten__native_batch_norm_legit_no_training_default_55[0];  aten__native_batch_norm_legit_no_training_default_55 = None
2025-03-21T20:22:32.4227253Z             
2025-03-21T20:22:32.4228132Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.4229449Z             aten_relu_default_55: "f32[1, 224, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_58);  getitem_58 = None
2025-03-21T20:22:32.4230385Z             
2025-03-21T20:22:32.4231299Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.4233485Z             aten_convolution_default_56: "f32[1, 256, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_55, p_features_12_branch1_2_conv_weight, None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1);  aten_relu_default_55 = p_features_12_branch1_2_conv_weight = None
2025-03-21T20:22:32.4235382Z             
2025-03-21T20:22:32.4236284Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.4240535Z             aten__native_batch_norm_legit_no_training_default_56 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_56, p_features_12_branch1_2_bn_weight, p_features_12_branch1_2_bn_bias, b_features_12_branch1_2_bn_running_mean, b_features_12_branch1_2_bn_running_var, 0.1, 0.001);  aten_convolution_default_56 = p_features_12_branch1_2_bn_weight = p_features_12_branch1_2_bn_bias = b_features_12_branch1_2_bn_running_mean = b_features_12_branch1_2_bn_running_var = None
2025-03-21T20:22:32.4244354Z             getitem_59: "f32[1, 256, 17, 17]" = aten__native_batch_norm_legit_no_training_default_56[0];  aten__native_batch_norm_legit_no_training_default_56 = None
2025-03-21T20:22:32.4245484Z             
2025-03-21T20:22:32.4246544Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.4247978Z             aten_relu_default_56: "f32[1, 256, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_59);  getitem_59 = None
2025-03-21T20:22:32.4248864Z             
2025-03-21T20:22:32.4249688Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.4251863Z             aten_convolution_default_57: "f32[1, 192, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_cat_default_8, p_features_12_branch2_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  p_features_12_branch2_0_conv_weight = None
2025-03-21T20:22:32.4253363Z             
2025-03-21T20:22:32.4254237Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.4257978Z             aten__native_batch_norm_legit_no_training_default_57 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_57, p_features_12_branch2_0_bn_weight, p_features_12_branch2_0_bn_bias, b_features_12_branch2_0_bn_running_mean, b_features_12_branch2_0_bn_running_var, 0.1, 0.001);  aten_convolution_default_57 = p_features_12_branch2_0_bn_weight = p_features_12_branch2_0_bn_bias = b_features_12_branch2_0_bn_running_mean = b_features_12_branch2_0_bn_running_var = None
2025-03-21T20:22:32.4261339Z             getitem_60: "f32[1, 192, 17, 17]" = aten__native_batch_norm_legit_no_training_default_57[0];  aten__native_batch_norm_legit_no_training_default_57 = None
2025-03-21T20:22:32.4262331Z             
2025-03-21T20:22:32.4263279Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.4264639Z             aten_relu_default_57: "f32[1, 192, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_60);  getitem_60 = None
2025-03-21T20:22:32.4265475Z             
2025-03-21T20:22:32.4266281Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.4268475Z             aten_convolution_default_58: "f32[1, 192, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_57, p_features_12_branch2_1_conv_weight, None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1);  aten_relu_default_57 = p_features_12_branch2_1_conv_weight = None
2025-03-21T20:22:32.4270054Z             
2025-03-21T20:22:32.4270991Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.4274664Z             aten__native_batch_norm_legit_no_training_default_58 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_58, p_features_12_branch2_1_bn_weight, p_features_12_branch2_1_bn_bias, b_features_12_branch2_1_bn_running_mean, b_features_12_branch2_1_bn_running_var, 0.1, 0.001);  aten_convolution_default_58 = p_features_12_branch2_1_bn_weight = p_features_12_branch2_1_bn_bias = b_features_12_branch2_1_bn_running_mean = b_features_12_branch2_1_bn_running_var = None
2025-03-21T20:22:32.4278968Z             getitem_61: "f32[1, 192, 17, 17]" = aten__native_batch_norm_legit_no_training_default_58[0];  aten__native_batch_norm_legit_no_training_default_58 = None
2025-03-21T20:22:32.4279976Z             
2025-03-21T20:22:32.4280861Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.4282229Z             aten_relu_default_58: "f32[1, 192, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_61);  getitem_61 = None
2025-03-21T20:22:32.4283262Z             
2025-03-21T20:22:32.4284250Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.4286508Z             aten_convolution_default_59: "f32[1, 224, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_58, p_features_12_branch2_2_conv_weight, None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1);  aten_relu_default_58 = p_features_12_branch2_2_conv_weight = None
2025-03-21T20:22:32.4288065Z             
2025-03-21T20:22:32.4288949Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.4292345Z             aten__native_batch_norm_legit_no_training_default_59 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_59, p_features_12_branch2_2_bn_weight, p_features_12_branch2_2_bn_bias, b_features_12_branch2_2_bn_running_mean, b_features_12_branch2_2_bn_running_var, 0.1, 0.001);  aten_convolution_default_59 = p_features_12_branch2_2_bn_weight = p_features_12_branch2_2_bn_bias = b_features_12_branch2_2_bn_running_mean = b_features_12_branch2_2_bn_running_var = None
2025-03-21T20:22:32.4295687Z             getitem_62: "f32[1, 224, 17, 17]" = aten__native_batch_norm_legit_no_training_default_59[0];  aten__native_batch_norm_legit_no_training_default_59 = None
2025-03-21T20:22:32.4296682Z             
2025-03-21T20:22:32.4297552Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.4298963Z             aten_relu_default_59: "f32[1, 224, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_62);  getitem_62 = None
2025-03-21T20:22:32.4299877Z             
2025-03-21T20:22:32.4300684Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.4302875Z             aten_convolution_default_60: "f32[1, 224, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_59, p_features_12_branch2_3_conv_weight, None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1);  aten_relu_default_59 = p_features_12_branch2_3_conv_weight = None
2025-03-21T20:22:32.4304451Z             
2025-03-21T20:22:32.4305373Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.4308739Z             aten__native_batch_norm_legit_no_training_default_60 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_60, p_features_12_branch2_3_bn_weight, p_features_12_branch2_3_bn_bias, b_features_12_branch2_3_bn_running_mean, b_features_12_branch2_3_bn_running_var, 0.1, 0.001);  aten_convolution_default_60 = p_features_12_branch2_3_bn_weight = p_features_12_branch2_3_bn_bias = b_features_12_branch2_3_bn_running_mean = b_features_12_branch2_3_bn_running_var = None
2025-03-21T20:22:32.4312456Z             getitem_63: "f32[1, 224, 17, 17]" = aten__native_batch_norm_legit_no_training_default_60[0];  aten__native_batch_norm_legit_no_training_default_60 = None
2025-03-21T20:22:32.4313506Z             
2025-03-21T20:22:32.4314343Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.4315698Z             aten_relu_default_60: "f32[1, 224, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_63);  getitem_63 = None
2025-03-21T20:22:32.4316552Z             
2025-03-21T20:22:32.4317425Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.4319524Z             aten_convolution_default_61: "f32[1, 256, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_60, p_features_12_branch2_4_conv_weight, None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1);  aten_relu_default_60 = p_features_12_branch2_4_conv_weight = None
2025-03-21T20:22:32.4321180Z             
2025-03-21T20:22:32.4322054Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.4325457Z             aten__native_batch_norm_legit_no_training_default_61 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_61, p_features_12_branch2_4_bn_weight, p_features_12_branch2_4_bn_bias, b_features_12_branch2_4_bn_running_mean, b_features_12_branch2_4_bn_running_var, 0.1, 0.001);  aten_convolution_default_61 = p_features_12_branch2_4_bn_weight = p_features_12_branch2_4_bn_bias = b_features_12_branch2_4_bn_running_mean = b_features_12_branch2_4_bn_running_var = None
2025-03-21T20:22:32.4328924Z             getitem_64: "f32[1, 256, 17, 17]" = aten__native_batch_norm_legit_no_training_default_61[0];  aten__native_batch_norm_legit_no_training_default_61 = None
2025-03-21T20:22:32.4329996Z             
2025-03-21T20:22:32.4330883Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.4332431Z             aten_relu_default_61: "f32[1, 256, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_64);  getitem_64 = None
2025-03-21T20:22:32.4333278Z             
2025-03-21T20:22:32.4334261Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/inception_v4.py:146 in forward, code: x3 = self.branch3(x)
2025-03-21T20:22:32.4336032Z             aten_avg_pool2d_default_5: "f32[1, 1024, 17, 17]" = executorch_exir_dialects_edge__ops_aten_avg_pool2d_default(aten_cat_default_8, [3, 3], [1, 1], [1, 1], False, False);  aten_cat_default_8 = None
2025-03-21T20:22:32.4337128Z             
2025-03-21T20:22:32.4338064Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.4340544Z             aten_convolution_default_62: "f32[1, 128, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_avg_pool2d_default_5, p_features_12_branch3_1_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_avg_pool2d_default_5 = p_features_12_branch3_1_conv_weight = None
2025-03-21T20:22:32.4342231Z             
2025-03-21T20:22:32.4343042Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.4346323Z             aten__native_batch_norm_legit_no_training_default_62 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_62, p_features_12_branch3_1_bn_weight, p_features_12_branch3_1_bn_bias, b_features_12_branch3_1_bn_running_mean, b_features_12_branch3_1_bn_running_var, 0.1, 0.001);  aten_convolution_default_62 = p_features_12_branch3_1_bn_weight = p_features_12_branch3_1_bn_bias = b_features_12_branch3_1_bn_running_mean = b_features_12_branch3_1_bn_running_var = None
2025-03-21T20:22:32.4350436Z             getitem_65: "f32[1, 128, 17, 17]" = aten__native_batch_norm_legit_no_training_default_62[0];  aten__native_batch_norm_legit_no_training_default_62 = None
2025-03-21T20:22:32.4351558Z             
2025-03-21T20:22:32.4352496Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.4354052Z             aten_relu_default_62: "f32[1, 128, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_65);  getitem_65 = None
2025-03-21T20:22:32.4354907Z             
2025-03-21T20:22:32.4356012Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/inception_v4.py:147 in forward, code: out = torch.cat((x0, x1, x2, x3), 1)
2025-03-21T20:22:32.4358308Z             aten_cat_default_9: "f32[1, 1024, 17, 17]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_relu_default_53, aten_relu_default_56, aten_relu_default_61, aten_relu_default_62], 1);  aten_relu_default_53 = aten_relu_default_56 = aten_relu_default_61 = aten_relu_default_62 = None
2025-03-21T20:22:32.4359843Z             
2025-03-21T20:22:32.4360791Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.4362814Z             aten_convolution_default_63: "f32[1, 384, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_cat_default_9, p_features_13_branch0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  p_features_13_branch0_conv_weight = None
2025-03-21T20:22:32.4364191Z             
2025-03-21T20:22:32.4365084Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.4368533Z             aten__native_batch_norm_legit_no_training_default_63 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_63, p_features_13_branch0_bn_weight, p_features_13_branch0_bn_bias, b_features_13_branch0_bn_running_mean, b_features_13_branch0_bn_running_var, 0.1, 0.001);  aten_convolution_default_63 = p_features_13_branch0_bn_weight = p_features_13_branch0_bn_bias = b_features_13_branch0_bn_running_mean = b_features_13_branch0_bn_running_var = None
2025-03-21T20:22:32.4371932Z             getitem_66: "f32[1, 384, 17, 17]" = aten__native_batch_norm_legit_no_training_default_63[0];  aten__native_batch_norm_legit_no_training_default_63 = None
2025-03-21T20:22:32.4372921Z             
2025-03-21T20:22:32.4373811Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.4375217Z             aten_relu_default_63: "f32[1, 384, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_66);  getitem_66 = None
2025-03-21T20:22:32.4376051Z             
2025-03-21T20:22:32.4376980Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.4379199Z             aten_convolution_default_64: "f32[1, 192, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_cat_default_9, p_features_13_branch1_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  p_features_13_branch1_0_conv_weight = None
2025-03-21T20:22:32.4380734Z             
2025-03-21T20:22:32.4381533Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.4385458Z             aten__native_batch_norm_legit_no_training_default_64 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_64, p_features_13_branch1_0_bn_weight, p_features_13_branch1_0_bn_bias, b_features_13_branch1_0_bn_running_mean, b_features_13_branch1_0_bn_running_var, 0.1, 0.001);  aten_convolution_default_64 = p_features_13_branch1_0_bn_weight = p_features_13_branch1_0_bn_bias = b_features_13_branch1_0_bn_running_mean = b_features_13_branch1_0_bn_running_var = None
2025-03-21T20:22:32.4389111Z             getitem_67: "f32[1, 192, 17, 17]" = aten__native_batch_norm_legit_no_training_default_64[0];  aten__native_batch_norm_legit_no_training_default_64 = None
2025-03-21T20:22:32.4390182Z             
2025-03-21T20:22:32.4391132Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.4392774Z             aten_relu_default_64: "f32[1, 192, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_67);  getitem_67 = None
2025-03-21T20:22:32.4393712Z             
2025-03-21T20:22:32.4394629Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.4396809Z             aten_convolution_default_65: "f32[1, 224, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_64, p_features_13_branch1_1_conv_weight, None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1);  aten_relu_default_64 = p_features_13_branch1_1_conv_weight = None
2025-03-21T20:22:32.4398540Z             
2025-03-21T20:22:32.4399503Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.4403216Z             aten__native_batch_norm_legit_no_training_default_65 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_65, p_features_13_branch1_1_bn_weight, p_features_13_branch1_1_bn_bias, b_features_13_branch1_1_bn_running_mean, b_features_13_branch1_1_bn_running_var, 0.1, 0.001);  aten_convolution_default_65 = p_features_13_branch1_1_bn_weight = p_features_13_branch1_1_bn_bias = b_features_13_branch1_1_bn_running_mean = b_features_13_branch1_1_bn_running_var = None
2025-03-21T20:22:32.4407005Z             getitem_68: "f32[1, 224, 17, 17]" = aten__native_batch_norm_legit_no_training_default_65[0];  aten__native_batch_norm_legit_no_training_default_65 = None
2025-03-21T20:22:32.4407920Z             
2025-03-21T20:22:32.4408788Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.4410384Z             aten_relu_default_65: "f32[1, 224, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_68);  getitem_68 = None
2025-03-21T20:22:32.4411200Z             
2025-03-21T20:22:32.4412226Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.4414565Z             aten_convolution_default_66: "f32[1, 256, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_65, p_features_13_branch1_2_conv_weight, None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1);  aten_relu_default_65 = p_features_13_branch1_2_conv_weight = None
2025-03-21T20:22:32.4416133Z             
2025-03-21T20:22:32.4417125Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.4420799Z             aten__native_batch_norm_legit_no_training_default_66 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_66, p_features_13_branch1_2_bn_weight, p_features_13_branch1_2_bn_bias, b_features_13_branch1_2_bn_running_mean, b_features_13_branch1_2_bn_running_var, 0.1, 0.001);  aten_convolution_default_66 = p_features_13_branch1_2_bn_weight = p_features_13_branch1_2_bn_bias = b_features_13_branch1_2_bn_running_mean = b_features_13_branch1_2_bn_running_var = None
2025-03-21T20:22:32.4424555Z             getitem_69: "f32[1, 256, 17, 17]" = aten__native_batch_norm_legit_no_training_default_66[0];  aten__native_batch_norm_legit_no_training_default_66 = None
2025-03-21T20:22:32.4425636Z             
2025-03-21T20:22:32.4426551Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.4427922Z             aten_relu_default_66: "f32[1, 256, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_69);  getitem_69 = None
2025-03-21T20:22:32.4428844Z             
2025-03-21T20:22:32.4429742Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.4432025Z             aten_convolution_default_67: "f32[1, 192, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_cat_default_9, p_features_13_branch2_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  p_features_13_branch2_0_conv_weight = None
2025-03-21T20:22:32.4433558Z             
2025-03-21T20:22:32.4434371Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.4438001Z             aten__native_batch_norm_legit_no_training_default_67 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_67, p_features_13_branch2_0_bn_weight, p_features_13_branch2_0_bn_bias, b_features_13_branch2_0_bn_running_mean, b_features_13_branch2_0_bn_running_var, 0.1, 0.001);  aten_convolution_default_67 = p_features_13_branch2_0_bn_weight = p_features_13_branch2_0_bn_bias = b_features_13_branch2_0_bn_running_mean = b_features_13_branch2_0_bn_running_var = None
2025-03-21T20:22:32.4441825Z             getitem_70: "f32[1, 192, 17, 17]" = aten__native_batch_norm_legit_no_training_default_67[0];  aten__native_batch_norm_legit_no_training_default_67 = None
2025-03-21T20:22:32.4442854Z             
2025-03-21T20:22:32.4443769Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.4445085Z             aten_relu_default_67: "f32[1, 192, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_70);  getitem_70 = None
2025-03-21T20:22:32.4446026Z             
2025-03-21T20:22:32.4446885Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.4448920Z             aten_convolution_default_68: "f32[1, 192, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_67, p_features_13_branch2_1_conv_weight, None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1);  aten_relu_default_67 = p_features_13_branch2_1_conv_weight = None
2025-03-21T20:22:32.4450411Z             
2025-03-21T20:22:32.4451309Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.4454547Z             aten__native_batch_norm_legit_no_training_default_68 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_68, p_features_13_branch2_1_bn_weight, p_features_13_branch2_1_bn_bias, b_features_13_branch2_1_bn_running_mean, b_features_13_branch2_1_bn_running_var, 0.1, 0.001);  aten_convolution_default_68 = p_features_13_branch2_1_bn_weight = p_features_13_branch2_1_bn_bias = b_features_13_branch2_1_bn_running_mean = b_features_13_branch2_1_bn_running_var = None
2025-03-21T20:22:32.4458004Z             getitem_71: "f32[1, 192, 17, 17]" = aten__native_batch_norm_legit_no_training_default_68[0];  aten__native_batch_norm_legit_no_training_default_68 = None
2025-03-21T20:22:32.4458921Z             
2025-03-21T20:22:32.4459921Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.4462001Z             aten_relu_default_68: "f32[1, 192, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_71);  getitem_71 = None
2025-03-21T20:22:32.4463169Z             
2025-03-21T20:22:32.4464014Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.4466017Z             aten_convolution_default_69: "f32[1, 224, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_68, p_features_13_branch2_2_conv_weight, None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1);  aten_relu_default_68 = p_features_13_branch2_2_conv_weight = None
2025-03-21T20:22:32.4467610Z             
2025-03-21T20:22:32.4468514Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.4472477Z             aten__native_batch_norm_legit_no_training_default_69 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_69, p_features_13_branch2_2_bn_weight, p_features_13_branch2_2_bn_bias, b_features_13_branch2_2_bn_running_mean, b_features_13_branch2_2_bn_running_var, 0.1, 0.001);  aten_convolution_default_69 = p_features_13_branch2_2_bn_weight = p_features_13_branch2_2_bn_bias = b_features_13_branch2_2_bn_running_mean = b_features_13_branch2_2_bn_running_var = None
2025-03-21T20:22:32.4476191Z             getitem_72: "f32[1, 224, 17, 17]" = aten__native_batch_norm_legit_no_training_default_69[0];  aten__native_batch_norm_legit_no_training_default_69 = None
2025-03-21T20:22:32.4477296Z             
2025-03-21T20:22:32.4478401Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.4480223Z             aten_relu_default_69: "f32[1, 224, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_72);  getitem_72 = None
2025-03-21T20:22:32.4481153Z             
2025-03-21T20:22:32.4481966Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.4484029Z             aten_convolution_default_70: "f32[1, 224, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_69, p_features_13_branch2_3_conv_weight, None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1);  aten_relu_default_69 = p_features_13_branch2_3_conv_weight = None
2025-03-21T20:22:32.4485620Z             
2025-03-21T20:22:32.4486552Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.4490060Z             aten__native_batch_norm_legit_no_training_default_70 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_70, p_features_13_branch2_3_bn_weight, p_features_13_branch2_3_bn_bias, b_features_13_branch2_3_bn_running_mean, b_features_13_branch2_3_bn_running_var, 0.1, 0.001);  aten_convolution_default_70 = p_features_13_branch2_3_bn_weight = p_features_13_branch2_3_bn_bias = b_features_13_branch2_3_bn_running_mean = b_features_13_branch2_3_bn_running_var = None
2025-03-21T20:22:32.4493468Z             getitem_73: "f32[1, 224, 17, 17]" = aten__native_batch_norm_legit_no_training_default_70[0];  aten__native_batch_norm_legit_no_training_default_70 = None
2025-03-21T20:22:32.4494382Z             
2025-03-21T20:22:32.4495330Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.4496715Z             aten_relu_default_70: "f32[1, 224, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_73);  getitem_73 = None
2025-03-21T20:22:32.4497607Z             
2025-03-21T20:22:32.4498894Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.4501271Z             aten_convolution_default_71: "f32[1, 256, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_70, p_features_13_branch2_4_conv_weight, None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1);  aten_relu_default_70 = p_features_13_branch2_4_conv_weight = None
2025-03-21T20:22:32.4502834Z             
2025-03-21T20:22:32.4503648Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.4507218Z             aten__native_batch_norm_legit_no_training_default_71 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_71, p_features_13_branch2_4_bn_weight, p_features_13_branch2_4_bn_bias, b_features_13_branch2_4_bn_running_mean, b_features_13_branch2_4_bn_running_var, 0.1, 0.001);  aten_convolution_default_71 = p_features_13_branch2_4_bn_weight = p_features_13_branch2_4_bn_bias = b_features_13_branch2_4_bn_running_mean = b_features_13_branch2_4_bn_running_var = None
2025-03-21T20:22:32.4510679Z             getitem_74: "f32[1, 256, 17, 17]" = aten__native_batch_norm_legit_no_training_default_71[0];  aten__native_batch_norm_legit_no_training_default_71 = None
2025-03-21T20:22:32.4511788Z             
2025-03-21T20:22:32.4512695Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.4514112Z             aten_relu_default_71: "f32[1, 256, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_74);  getitem_74 = None
2025-03-21T20:22:32.4515072Z             
2025-03-21T20:22:32.4515980Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/inception_v4.py:146 in forward, code: x3 = self.branch3(x)
2025-03-21T20:22:32.4517708Z             aten_avg_pool2d_default_6: "f32[1, 1024, 17, 17]" = executorch_exir_dialects_edge__ops_aten_avg_pool2d_default(aten_cat_default_9, [3, 3], [1, 1], [1, 1], False, False);  aten_cat_default_9 = None
2025-03-21T20:22:32.4518930Z             
2025-03-21T20:22:32.4519862Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.4522121Z             aten_convolution_default_72: "f32[1, 128, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_avg_pool2d_default_6, p_features_13_branch3_1_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_avg_pool2d_default_6 = p_features_13_branch3_1_conv_weight = None
2025-03-21T20:22:32.4523790Z             
2025-03-21T20:22:32.4524691Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.4528222Z             aten__native_batch_norm_legit_no_training_default_72 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_72, p_features_13_branch3_1_bn_weight, p_features_13_branch3_1_bn_bias, b_features_13_branch3_1_bn_running_mean, b_features_13_branch3_1_bn_running_var, 0.1, 0.001);  aten_convolution_default_72 = p_features_13_branch3_1_bn_weight = p_features_13_branch3_1_bn_bias = b_features_13_branch3_1_bn_running_mean = b_features_13_branch3_1_bn_running_var = None
2025-03-21T20:22:32.4531826Z             getitem_75: "f32[1, 128, 17, 17]" = aten__native_batch_norm_legit_no_training_default_72[0];  aten__native_batch_norm_legit_no_training_default_72 = None
2025-03-21T20:22:32.4532879Z             
2025-03-21T20:22:32.4533760Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.4535258Z             aten_relu_default_72: "f32[1, 128, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_75);  getitem_75 = None
2025-03-21T20:22:32.4536631Z             
2025-03-21T20:22:32.4537753Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/inception_v4.py:147 in forward, code: out = torch.cat((x0, x1, x2, x3), 1)
2025-03-21T20:22:32.4540592Z             aten_cat_default_10: "f32[1, 1024, 17, 17]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_relu_default_63, aten_relu_default_66, aten_relu_default_71, aten_relu_default_72], 1);  aten_relu_default_63 = aten_relu_default_66 = aten_relu_default_71 = aten_relu_default_72 = None
2025-03-21T20:22:32.4542249Z             
2025-03-21T20:22:32.4543073Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.4544956Z             aten_convolution_default_73: "f32[1, 384, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_cat_default_10, p_features_14_branch0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  p_features_14_branch0_conv_weight = None
2025-03-21T20:22:32.4546493Z             
2025-03-21T20:22:32.4547316Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.4550714Z             aten__native_batch_norm_legit_no_training_default_73 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_73, p_features_14_branch0_bn_weight, p_features_14_branch0_bn_bias, b_features_14_branch0_bn_running_mean, b_features_14_branch0_bn_running_var, 0.1, 0.001);  aten_convolution_default_73 = p_features_14_branch0_bn_weight = p_features_14_branch0_bn_bias = b_features_14_branch0_bn_running_mean = b_features_14_branch0_bn_running_var = None
2025-03-21T20:22:32.4553957Z             getitem_76: "f32[1, 384, 17, 17]" = aten__native_batch_norm_legit_no_training_default_73[0];  aten__native_batch_norm_legit_no_training_default_73 = None
2025-03-21T20:22:32.4554989Z             
2025-03-21T20:22:32.4555795Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.4557225Z             aten_relu_default_73: "f32[1, 384, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_76);  getitem_76 = None
2025-03-21T20:22:32.4558063Z             
2025-03-21T20:22:32.4558881Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.4560897Z             aten_convolution_default_74: "f32[1, 192, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_cat_default_10, p_features_14_branch1_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  p_features_14_branch1_0_conv_weight = None
2025-03-21T20:22:32.4562295Z             
2025-03-21T20:22:32.4563111Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.4566589Z             aten__native_batch_norm_legit_no_training_default_74 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_74, p_features_14_branch1_0_bn_weight, p_features_14_branch1_0_bn_bias, b_features_14_branch1_0_bn_running_mean, b_features_14_branch1_0_bn_running_var, 0.1, 0.001);  aten_convolution_default_74 = p_features_14_branch1_0_bn_weight = p_features_14_branch1_0_bn_bias = b_features_14_branch1_0_bn_running_mean = b_features_14_branch1_0_bn_running_var = None
2025-03-21T20:22:32.4570123Z             getitem_77: "f32[1, 192, 17, 17]" = aten__native_batch_norm_legit_no_training_default_74[0];  aten__native_batch_norm_legit_no_training_default_74 = None
2025-03-21T20:22:32.4571095Z             
2025-03-21T20:22:32.4571907Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.4573827Z             aten_relu_default_74: "f32[1, 192, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_77);  getitem_77 = None
2025-03-21T20:22:32.4574911Z             
2025-03-21T20:22:32.4575763Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.4577915Z             aten_convolution_default_75: "f32[1, 224, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_74, p_features_14_branch1_1_conv_weight, None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1);  aten_relu_default_74 = p_features_14_branch1_1_conv_weight = None
2025-03-21T20:22:32.4579455Z             
2025-03-21T20:22:32.4580348Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.4583772Z             aten__native_batch_norm_legit_no_training_default_75 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_75, p_features_14_branch1_1_bn_weight, p_features_14_branch1_1_bn_bias, b_features_14_branch1_1_bn_running_mean, b_features_14_branch1_1_bn_running_var, 0.1, 0.001);  aten_convolution_default_75 = p_features_14_branch1_1_bn_weight = p_features_14_branch1_1_bn_bias = b_features_14_branch1_1_bn_running_mean = b_features_14_branch1_1_bn_running_var = None
2025-03-21T20:22:32.4587211Z             getitem_78: "f32[1, 224, 17, 17]" = aten__native_batch_norm_legit_no_training_default_75[0];  aten__native_batch_norm_legit_no_training_default_75 = None
2025-03-21T20:22:32.4588128Z             
2025-03-21T20:22:32.4589030Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.4590412Z             aten_relu_default_75: "f32[1, 224, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_78);  getitem_78 = None
2025-03-21T20:22:32.4591370Z             
2025-03-21T20:22:32.4592268Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.4594546Z             aten_convolution_default_76: "f32[1, 256, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_75, p_features_14_branch1_2_conv_weight, None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1);  aten_relu_default_75 = p_features_14_branch1_2_conv_weight = None
2025-03-21T20:22:32.4596087Z             
2025-03-21T20:22:32.4597008Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.4600513Z             aten__native_batch_norm_legit_no_training_default_76 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_76, p_features_14_branch1_2_bn_weight, p_features_14_branch1_2_bn_bias, b_features_14_branch1_2_bn_running_mean, b_features_14_branch1_2_bn_running_var, 0.1, 0.001);  aten_convolution_default_76 = p_features_14_branch1_2_bn_weight = p_features_14_branch1_2_bn_bias = b_features_14_branch1_2_bn_running_mean = b_features_14_branch1_2_bn_running_var = None
2025-03-21T20:22:32.4604002Z             getitem_79: "f32[1, 256, 17, 17]" = aten__native_batch_norm_legit_no_training_default_76[0];  aten__native_batch_norm_legit_no_training_default_76 = None
2025-03-21T20:22:32.4605101Z             
2025-03-21T20:22:32.4606088Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.4607546Z             aten_relu_default_76: "f32[1, 256, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_79);  getitem_79 = None
2025-03-21T20:22:32.4608505Z             
2025-03-21T20:22:32.4609311Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.4611867Z             aten_convolution_default_77: "f32[1, 192, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_cat_default_10, p_features_14_branch2_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  p_features_14_branch2_0_conv_weight = None
2025-03-21T20:22:32.4613524Z             
2025-03-21T20:22:32.4614351Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.4617695Z             aten__native_batch_norm_legit_no_training_default_77 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_77, p_features_14_branch2_0_bn_weight, p_features_14_branch2_0_bn_bias, b_features_14_branch2_0_bn_running_mean, b_features_14_branch2_0_bn_running_var, 0.1, 0.001);  aten_convolution_default_77 = p_features_14_branch2_0_bn_weight = p_features_14_branch2_0_bn_bias = b_features_14_branch2_0_bn_running_mean = b_features_14_branch2_0_bn_running_var = None
2025-03-21T20:22:32.4621110Z             getitem_80: "f32[1, 192, 17, 17]" = aten__native_batch_norm_legit_no_training_default_77[0];  aten__native_batch_norm_legit_no_training_default_77 = None
2025-03-21T20:22:32.4622126Z             
2025-03-21T20:22:32.4623013Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.4624403Z             aten_relu_default_77: "f32[1, 192, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_80);  getitem_80 = None
2025-03-21T20:22:32.4625231Z             
2025-03-21T20:22:32.4626118Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.4628225Z             aten_convolution_default_78: "f32[1, 192, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_77, p_features_14_branch2_1_conv_weight, None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1);  aten_relu_default_77 = p_features_14_branch2_1_conv_weight = None
2025-03-21T20:22:32.4629876Z             
2025-03-21T20:22:32.4630851Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.4634496Z             aten__native_batch_norm_legit_no_training_default_78 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_78, p_features_14_branch2_1_bn_weight, p_features_14_branch2_1_bn_bias, b_features_14_branch2_1_bn_running_mean, b_features_14_branch2_1_bn_running_var, 0.1, 0.001);  aten_convolution_default_78 = p_features_14_branch2_1_bn_weight = p_features_14_branch2_1_bn_bias = b_features_14_branch2_1_bn_running_mean = b_features_14_branch2_1_bn_running_var = None
2025-03-21T20:22:32.4638006Z             getitem_81: "f32[1, 192, 17, 17]" = aten__native_batch_norm_legit_no_training_default_78[0];  aten__native_batch_norm_legit_no_training_default_78 = None
2025-03-21T20:22:32.4639035Z             
2025-03-21T20:22:32.4640331Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.4641842Z             aten_relu_default_78: "f32[1, 192, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_81);  getitem_81 = None
2025-03-21T20:22:32.4642684Z             
2025-03-21T20:22:32.4643547Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.4645929Z             aten_convolution_default_79: "f32[1, 224, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_78, p_features_14_branch2_2_conv_weight, None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1);  aten_relu_default_78 = p_features_14_branch2_2_conv_weight = None
2025-03-21T20:22:32.4648099Z             
2025-03-21T20:22:32.4649152Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.4652505Z             aten__native_batch_norm_legit_no_training_default_79 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_79, p_features_14_branch2_2_bn_weight, p_features_14_branch2_2_bn_bias, b_features_14_branch2_2_bn_running_mean, b_features_14_branch2_2_bn_running_var, 0.1, 0.001);  aten_convolution_default_79 = p_features_14_branch2_2_bn_weight = p_features_14_branch2_2_bn_bias = b_features_14_branch2_2_bn_running_mean = b_features_14_branch2_2_bn_running_var = None
2025-03-21T20:22:32.4655863Z             getitem_82: "f32[1, 224, 17, 17]" = aten__native_batch_norm_legit_no_training_default_79[0];  aten__native_batch_norm_legit_no_training_default_79 = None
2025-03-21T20:22:32.4656953Z             
2025-03-21T20:22:32.4657872Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.4659348Z             aten_relu_default_79: "f32[1, 224, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_82);  getitem_82 = None
2025-03-21T20:22:32.4660242Z             
2025-03-21T20:22:32.4661051Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.4663098Z             aten_convolution_default_80: "f32[1, 224, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_79, p_features_14_branch2_3_conv_weight, None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1);  aten_relu_default_79 = p_features_14_branch2_3_conv_weight = None
2025-03-21T20:22:32.4664648Z             
2025-03-21T20:22:32.4665644Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.4669189Z             aten__native_batch_norm_legit_no_training_default_80 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_80, p_features_14_branch2_3_bn_weight, p_features_14_branch2_3_bn_bias, b_features_14_branch2_3_bn_running_mean, b_features_14_branch2_3_bn_running_var, 0.1, 0.001);  aten_convolution_default_80 = p_features_14_branch2_3_bn_weight = p_features_14_branch2_3_bn_bias = b_features_14_branch2_3_bn_running_mean = b_features_14_branch2_3_bn_running_var = None
2025-03-21T20:22:32.4672685Z             getitem_83: "f32[1, 224, 17, 17]" = aten__native_batch_norm_legit_no_training_default_80[0];  aten__native_batch_norm_legit_no_training_default_80 = None
2025-03-21T20:22:32.4673679Z             
2025-03-21T20:22:32.4674475Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.4675792Z             aten_relu_default_80: "f32[1, 224, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_83);  getitem_83 = None
2025-03-21T20:22:32.4676611Z             
2025-03-21T20:22:32.4677514Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.4679864Z             aten_convolution_default_81: "f32[1, 256, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_80, p_features_14_branch2_4_conv_weight, None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1);  aten_relu_default_80 = p_features_14_branch2_4_conv_weight = None
2025-03-21T20:22:32.4681621Z             
2025-03-21T20:22:32.4682523Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.4686408Z             aten__native_batch_norm_legit_no_training_default_81 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_81, p_features_14_branch2_4_bn_weight, p_features_14_branch2_4_bn_bias, b_features_14_branch2_4_bn_running_mean, b_features_14_branch2_4_bn_running_var, 0.1, 0.001);  aten_convolution_default_81 = p_features_14_branch2_4_bn_weight = p_features_14_branch2_4_bn_bias = b_features_14_branch2_4_bn_running_mean = b_features_14_branch2_4_bn_running_var = None
2025-03-21T20:22:32.4689985Z             getitem_84: "f32[1, 256, 17, 17]" = aten__native_batch_norm_legit_no_training_default_81[0];  aten__native_batch_norm_legit_no_training_default_81 = None
2025-03-21T20:22:32.4690974Z             
2025-03-21T20:22:32.4691906Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.4693206Z             aten_relu_default_81: "f32[1, 256, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_84);  getitem_84 = None
2025-03-21T20:22:32.4694188Z             
2025-03-21T20:22:32.4695163Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/inception_v4.py:146 in forward, code: x3 = self.branch3(x)
2025-03-21T20:22:32.4696913Z             aten_avg_pool2d_default_7: "f32[1, 1024, 17, 17]" = executorch_exir_dialects_edge__ops_aten_avg_pool2d_default(aten_cat_default_10, [3, 3], [1, 1], [1, 1], False, False);  aten_cat_default_10 = None
2025-03-21T20:22:32.4698056Z             
2025-03-21T20:22:32.4698972Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.4701185Z             aten_convolution_default_82: "f32[1, 128, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_avg_pool2d_default_7, p_features_14_branch3_1_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_avg_pool2d_default_7 = p_features_14_branch3_1_conv_weight = None
2025-03-21T20:22:32.4702914Z             
2025-03-21T20:22:32.4703740Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.4707317Z             aten__native_batch_norm_legit_no_training_default_82 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_82, p_features_14_branch3_1_bn_weight, p_features_14_branch3_1_bn_bias, b_features_14_branch3_1_bn_running_mean, b_features_14_branch3_1_bn_running_var, 0.1, 0.001);  aten_convolution_default_82 = p_features_14_branch3_1_bn_weight = p_features_14_branch3_1_bn_bias = b_features_14_branch3_1_bn_running_mean = b_features_14_branch3_1_bn_running_var = None
2025-03-21T20:22:32.4710662Z             getitem_85: "f32[1, 128, 17, 17]" = aten__native_batch_norm_legit_no_training_default_82[0];  aten__native_batch_norm_legit_no_training_default_82 = None
2025-03-21T20:22:32.4711751Z             
2025-03-21T20:22:32.4712649Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.4713965Z             aten_relu_default_82: "f32[1, 128, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_85);  getitem_85 = None
2025-03-21T20:22:32.4714784Z             
2025-03-21T20:22:32.4715806Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/inception_v4.py:147 in forward, code: out = torch.cat((x0, x1, x2, x3), 1)
2025-03-21T20:22:32.4718141Z             aten_cat_default_11: "f32[1, 1024, 17, 17]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_relu_default_73, aten_relu_default_76, aten_relu_default_81, aten_relu_default_82], 1);  aten_relu_default_73 = aten_relu_default_76 = aten_relu_default_81 = aten_relu_default_82 = None
2025-03-21T20:22:32.4719674Z             
2025-03-21T20:22:32.4720770Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.4722815Z             aten_convolution_default_83: "f32[1, 384, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_cat_default_11, p_features_15_branch0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  p_features_15_branch0_conv_weight = None
2025-03-21T20:22:32.4724302Z             
2025-03-21T20:22:32.4725248Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.4728812Z             aten__native_batch_norm_legit_no_training_default_83 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_83, p_features_15_branch0_bn_weight, p_features_15_branch0_bn_bias, b_features_15_branch0_bn_running_mean, b_features_15_branch0_bn_running_var, 0.1, 0.001);  aten_convolution_default_83 = p_features_15_branch0_bn_weight = p_features_15_branch0_bn_bias = b_features_15_branch0_bn_running_mean = b_features_15_branch0_bn_running_var = None
2025-03-21T20:22:32.4732417Z             getitem_86: "f32[1, 384, 17, 17]" = aten__native_batch_norm_legit_no_training_default_83[0];  aten__native_batch_norm_legit_no_training_default_83 = None
2025-03-21T20:22:32.4733480Z             
2025-03-21T20:22:32.4734378Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.4735751Z             aten_relu_default_83: "f32[1, 384, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_86);  getitem_86 = None
2025-03-21T20:22:32.4736658Z             
2025-03-21T20:22:32.4737477Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.4739644Z             aten_convolution_default_84: "f32[1, 192, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_cat_default_11, p_features_15_branch1_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  p_features_15_branch1_0_conv_weight = None
2025-03-21T20:22:32.4741502Z             
2025-03-21T20:22:32.4742644Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.4746338Z             aten__native_batch_norm_legit_no_training_default_84 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_84, p_features_15_branch1_0_bn_weight, p_features_15_branch1_0_bn_bias, b_features_15_branch1_0_bn_running_mean, b_features_15_branch1_0_bn_running_var, 0.1, 0.001);  aten_convolution_default_84 = p_features_15_branch1_0_bn_weight = p_features_15_branch1_0_bn_bias = b_features_15_branch1_0_bn_running_mean = b_features_15_branch1_0_bn_running_var = None
2025-03-21T20:22:32.4749877Z             getitem_87: "f32[1, 192, 17, 17]" = aten__native_batch_norm_legit_no_training_default_84[0];  aten__native_batch_norm_legit_no_training_default_84 = None
2025-03-21T20:22:32.4751026Z             
2025-03-21T20:22:32.4751971Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.4753329Z             aten_relu_default_84: "f32[1, 192, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_87);  getitem_87 = None
2025-03-21T20:22:32.4754274Z             
2025-03-21T20:22:32.4755153Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.4757328Z             aten_convolution_default_85: "f32[1, 224, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_84, p_features_15_branch1_1_conv_weight, None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1);  aten_relu_default_84 = p_features_15_branch1_1_conv_weight = None
2025-03-21T20:22:32.4759332Z             
2025-03-21T20:22:32.4760432Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.4763984Z             aten__native_batch_norm_legit_no_training_default_85 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_85, p_features_15_branch1_1_bn_weight, p_features_15_branch1_1_bn_bias, b_features_15_branch1_1_bn_running_mean, b_features_15_branch1_1_bn_running_var, 0.1, 0.001);  aten_convolution_default_85 = p_features_15_branch1_1_bn_weight = p_features_15_branch1_1_bn_bias = b_features_15_branch1_1_bn_running_mean = b_features_15_branch1_1_bn_running_var = None
2025-03-21T20:22:32.4767623Z             getitem_88: "f32[1, 224, 17, 17]" = aten__native_batch_norm_legit_no_training_default_85[0];  aten__native_batch_norm_legit_no_training_default_85 = None
2025-03-21T20:22:32.4768630Z             
2025-03-21T20:22:32.4769421Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.4770913Z             aten_relu_default_85: "f32[1, 224, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_88);  getitem_88 = None
2025-03-21T20:22:32.4771744Z             
2025-03-21T20:22:32.4772558Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.4774686Z             aten_convolution_default_86: "f32[1, 256, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_85, p_features_15_branch1_2_conv_weight, None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1);  aten_relu_default_85 = p_features_15_branch1_2_conv_weight = None
2025-03-21T20:22:32.4776215Z             
2025-03-21T20:22:32.4777129Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.4780695Z             aten__native_batch_norm_legit_no_training_default_86 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_86, p_features_15_branch1_2_bn_weight, p_features_15_branch1_2_bn_bias, b_features_15_branch1_2_bn_running_mean, b_features_15_branch1_2_bn_running_var, 0.1, 0.001);  aten_convolution_default_86 = p_features_15_branch1_2_bn_weight = p_features_15_branch1_2_bn_bias = b_features_15_branch1_2_bn_running_mean = b_features_15_branch1_2_bn_running_var = None
2025-03-21T20:22:32.4784193Z             getitem_89: "f32[1, 256, 17, 17]" = aten__native_batch_norm_legit_no_training_default_86[0];  aten__native_batch_norm_legit_no_training_default_86 = None
2025-03-21T20:22:32.4785105Z             
2025-03-21T20:22:32.4785960Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.4787478Z             aten_relu_default_86: "f32[1, 256, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_89);  getitem_89 = None
2025-03-21T20:22:32.4788402Z             
2025-03-21T20:22:32.4789494Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.4791683Z             aten_convolution_default_87: "f32[1, 192, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_cat_default_11, p_features_15_branch2_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  p_features_15_branch2_0_conv_weight = None
2025-03-21T20:22:32.4793132Z             
2025-03-21T20:22:32.4794009Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.4797900Z             aten__native_batch_norm_legit_no_training_default_87 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_87, p_features_15_branch2_0_bn_weight, p_features_15_branch2_0_bn_bias, b_features_15_branch2_0_bn_running_mean, b_features_15_branch2_0_bn_running_var, 0.1, 0.001);  aten_convolution_default_87 = p_features_15_branch2_0_bn_weight = p_features_15_branch2_0_bn_bias = b_features_15_branch2_0_bn_running_mean = b_features_15_branch2_0_bn_running_var = None
2025-03-21T20:22:32.4801548Z             getitem_90: "f32[1, 192, 17, 17]" = aten__native_batch_norm_legit_no_training_default_87[0];  aten__native_batch_norm_legit_no_training_default_87 = None
2025-03-21T20:22:32.4802591Z             
2025-03-21T20:22:32.4803513Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.4805017Z             aten_relu_default_87: "f32[1, 192, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_90);  getitem_90 = None
2025-03-21T20:22:32.4805912Z             
2025-03-21T20:22:32.4806724Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.4808771Z             aten_convolution_default_88: "f32[1, 192, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_87, p_features_15_branch2_1_conv_weight, None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1);  aten_relu_default_87 = p_features_15_branch2_1_conv_weight = None
2025-03-21T20:22:32.4810295Z             
2025-03-21T20:22:32.4811099Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.4814662Z             aten__native_batch_norm_legit_no_training_default_88 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_88, p_features_15_branch2_1_bn_weight, p_features_15_branch2_1_bn_bias, b_features_15_branch2_1_bn_running_mean, b_features_15_branch2_1_bn_running_var, 0.1, 0.001);  aten_convolution_default_88 = p_features_15_branch2_1_bn_weight = p_features_15_branch2_1_bn_bias = b_features_15_branch2_1_bn_running_mean = b_features_15_branch2_1_bn_running_var = None
2025-03-21T20:22:32.4818052Z             getitem_91: "f32[1, 192, 17, 17]" = aten__native_batch_norm_legit_no_training_default_88[0];  aten__native_batch_norm_legit_no_training_default_88 = None
2025-03-21T20:22:32.4819021Z             
2025-03-21T20:22:32.4819820Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.4821120Z             aten_relu_default_88: "f32[1, 192, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_91);  getitem_91 = None
2025-03-21T20:22:32.4821943Z             
2025-03-21T20:22:32.4822831Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.4824976Z             aten_convolution_default_89: "f32[1, 224, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_88, p_features_15_branch2_2_conv_weight, None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1);  aten_relu_default_88 = p_features_15_branch2_2_conv_weight = None
2025-03-21T20:22:32.4826585Z             
2025-03-21T20:22:32.4827387Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.4830728Z             aten__native_batch_norm_legit_no_training_default_89 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_89, p_features_15_branch2_2_bn_weight, p_features_15_branch2_2_bn_bias, b_features_15_branch2_2_bn_running_mean, b_features_15_branch2_2_bn_running_var, 0.1, 0.001);  aten_convolution_default_89 = p_features_15_branch2_2_bn_weight = p_features_15_branch2_2_bn_bias = b_features_15_branch2_2_bn_running_mean = b_features_15_branch2_2_bn_running_var = None
2025-03-21T20:22:32.4834605Z             getitem_92: "f32[1, 224, 17, 17]" = aten__native_batch_norm_legit_no_training_default_89[0];  aten__native_batch_norm_legit_no_training_default_89 = None
2025-03-21T20:22:32.4835565Z             
2025-03-21T20:22:32.4836434Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.4837812Z             aten_relu_default_89: "f32[1, 224, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_92);  getitem_92 = None
2025-03-21T20:22:32.4838784Z             
2025-03-21T20:22:32.4840027Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.4842140Z             aten_convolution_default_90: "f32[1, 224, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_89, p_features_15_branch2_3_conv_weight, None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1);  aten_relu_default_89 = p_features_15_branch2_3_conv_weight = None
2025-03-21T20:22:32.4843768Z             
2025-03-21T20:22:32.4844609Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.4848046Z             aten__native_batch_norm_legit_no_training_default_90 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_90, p_features_15_branch2_3_bn_weight, p_features_15_branch2_3_bn_bias, b_features_15_branch2_3_bn_running_mean, b_features_15_branch2_3_bn_running_var, 0.1, 0.001);  aten_convolution_default_90 = p_features_15_branch2_3_bn_weight = p_features_15_branch2_3_bn_bias = b_features_15_branch2_3_bn_running_mean = b_features_15_branch2_3_bn_running_var = None
2025-03-21T20:22:32.4851333Z             getitem_93: "f32[1, 224, 17, 17]" = aten__native_batch_norm_legit_no_training_default_90[0];  aten__native_batch_norm_legit_no_training_default_90 = None
2025-03-21T20:22:32.4852316Z             
2025-03-21T20:22:32.4853121Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.4854548Z             aten_relu_default_90: "f32[1, 224, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_93);  getitem_93 = None
2025-03-21T20:22:32.4855423Z             
2025-03-21T20:22:32.4856421Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.4858632Z             aten_convolution_default_91: "f32[1, 256, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_90, p_features_15_branch2_4_conv_weight, None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1);  aten_relu_default_90 = p_features_15_branch2_4_conv_weight = None
2025-03-21T20:22:32.4860317Z             
2025-03-21T20:22:32.4861155Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.4864532Z             aten__native_batch_norm_legit_no_training_default_91 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_91, p_features_15_branch2_4_bn_weight, p_features_15_branch2_4_bn_bias, b_features_15_branch2_4_bn_running_mean, b_features_15_branch2_4_bn_running_var, 0.1, 0.001);  aten_convolution_default_91 = p_features_15_branch2_4_bn_weight = p_features_15_branch2_4_bn_bias = b_features_15_branch2_4_bn_running_mean = b_features_15_branch2_4_bn_running_var = None
2025-03-21T20:22:32.4867863Z             getitem_94: "f32[1, 256, 17, 17]" = aten__native_batch_norm_legit_no_training_default_91[0];  aten__native_batch_norm_legit_no_training_default_91 = None
2025-03-21T20:22:32.4869486Z             
2025-03-21T20:22:32.4870354Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.4871971Z             aten_relu_default_91: "f32[1, 256, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_94);  getitem_94 = None
2025-03-21T20:22:32.4873038Z             
2025-03-21T20:22:32.4873963Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/inception_v4.py:146 in forward, code: x3 = self.branch3(x)
2025-03-21T20:22:32.4875733Z             aten_avg_pool2d_default_8: "f32[1, 1024, 17, 17]" = executorch_exir_dialects_edge__ops_aten_avg_pool2d_default(aten_cat_default_11, [3, 3], [1, 1], [1, 1], False, False);  aten_cat_default_11 = None
2025-03-21T20:22:32.4876982Z             
2025-03-21T20:22:32.4877804Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.4879996Z             aten_convolution_default_92: "f32[1, 128, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_avg_pool2d_default_8, p_features_15_branch3_1_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_avg_pool2d_default_8 = p_features_15_branch3_1_conv_weight = None
2025-03-21T20:22:32.4881769Z             
2025-03-21T20:22:32.4882717Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.4886228Z             aten__native_batch_norm_legit_no_training_default_92 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_92, p_features_15_branch3_1_bn_weight, p_features_15_branch3_1_bn_bias, b_features_15_branch3_1_bn_running_mean, b_features_15_branch3_1_bn_running_var, 0.1, 0.001);  aten_convolution_default_92 = p_features_15_branch3_1_bn_weight = p_features_15_branch3_1_bn_bias = b_features_15_branch3_1_bn_running_mean = b_features_15_branch3_1_bn_running_var = None
2025-03-21T20:22:32.4889814Z             getitem_95: "f32[1, 128, 17, 17]" = aten__native_batch_norm_legit_no_training_default_92[0];  aten__native_batch_norm_legit_no_training_default_92 = None
2025-03-21T20:22:32.4890731Z             
2025-03-21T20:22:32.4891621Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.4892927Z             aten_relu_default_92: "f32[1, 128, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_95);  getitem_95 = None
2025-03-21T20:22:32.4893837Z             
2025-03-21T20:22:32.4894757Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/inception_v4.py:147 in forward, code: out = torch.cat((x0, x1, x2, x3), 1)
2025-03-21T20:22:32.4896985Z             aten_cat_default_12: "f32[1, 1024, 17, 17]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_relu_default_83, aten_relu_default_86, aten_relu_default_91, aten_relu_default_92], 1);  aten_relu_default_83 = aten_relu_default_86 = aten_relu_default_91 = aten_relu_default_92 = None
2025-03-21T20:22:32.4898703Z             
2025-03-21T20:22:32.4899773Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.4901857Z             aten_convolution_default_93: "f32[1, 384, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_cat_default_12, p_features_16_branch0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  p_features_16_branch0_conv_weight = None
2025-03-21T20:22:32.4903275Z             
2025-03-21T20:22:32.4904193Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.4907840Z             aten__native_batch_norm_legit_no_training_default_93 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_93, p_features_16_branch0_bn_weight, p_features_16_branch0_bn_bias, b_features_16_branch0_bn_running_mean, b_features_16_branch0_bn_running_var, 0.1, 0.001);  aten_convolution_default_93 = p_features_16_branch0_bn_weight = p_features_16_branch0_bn_bias = b_features_16_branch0_bn_running_mean = b_features_16_branch0_bn_running_var = None
2025-03-21T20:22:32.4911257Z             getitem_96: "f32[1, 384, 17, 17]" = aten__native_batch_norm_legit_no_training_default_93[0];  aten__native_batch_norm_legit_no_training_default_93 = None
2025-03-21T20:22:32.4912182Z             
2025-03-21T20:22:32.4913032Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.4914428Z             aten_relu_default_93: "f32[1, 384, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_96);  getitem_96 = None
2025-03-21T20:22:32.4915323Z             
2025-03-21T20:22:32.4916141Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.4918108Z             aten_convolution_default_94: "f32[1, 192, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_cat_default_12, p_features_16_branch1_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  p_features_16_branch1_0_conv_weight = None
2025-03-21T20:22:32.4919511Z             
2025-03-21T20:22:32.4920416Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.4923984Z             aten__native_batch_norm_legit_no_training_default_94 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_94, p_features_16_branch1_0_bn_weight, p_features_16_branch1_0_bn_bias, b_features_16_branch1_0_bn_running_mean, b_features_16_branch1_0_bn_running_var, 0.1, 0.001);  aten_convolution_default_94 = p_features_16_branch1_0_bn_weight = p_features_16_branch1_0_bn_bias = b_features_16_branch1_0_bn_running_mean = b_features_16_branch1_0_bn_running_var = None
2025-03-21T20:22:32.4927542Z             getitem_97: "f32[1, 192, 17, 17]" = aten__native_batch_norm_legit_no_training_default_94[0];  aten__native_batch_norm_legit_no_training_default_94 = None
2025-03-21T20:22:32.4928557Z             
2025-03-21T20:22:32.4929448Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.4930833Z             aten_relu_default_94: "f32[1, 192, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_97);  getitem_97 = None
2025-03-21T20:22:32.4931791Z             
2025-03-21T20:22:32.4932690Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.4934915Z             aten_convolution_default_95: "f32[1, 224, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_94, p_features_16_branch1_1_conv_weight, None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1);  aten_relu_default_94 = p_features_16_branch1_1_conv_weight = None
2025-03-21T20:22:32.4936457Z             
2025-03-21T20:22:32.4937382Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.4941379Z             aten__native_batch_norm_legit_no_training_default_95 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_95, p_features_16_branch1_1_bn_weight, p_features_16_branch1_1_bn_bias, b_features_16_branch1_1_bn_running_mean, b_features_16_branch1_1_bn_running_var, 0.1, 0.001);  aten_convolution_default_95 = p_features_16_branch1_1_bn_weight = p_features_16_branch1_1_bn_bias = b_features_16_branch1_1_bn_running_mean = b_features_16_branch1_1_bn_running_var = None
2025-03-21T20:22:32.4945729Z             getitem_98: "f32[1, 224, 17, 17]" = aten__native_batch_norm_legit_no_training_default_95[0];  aten__native_batch_norm_legit_no_training_default_95 = None
2025-03-21T20:22:32.4946672Z             
2025-03-21T20:22:32.4947566Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.4948934Z             aten_relu_default_95: "f32[1, 224, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_98);  getitem_98 = None
2025-03-21T20:22:32.4949773Z             
2025-03-21T20:22:32.4950702Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.4952829Z             aten_convolution_default_96: "f32[1, 256, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_95, p_features_16_branch1_2_conv_weight, None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1);  aten_relu_default_95 = p_features_16_branch1_2_conv_weight = None
2025-03-21T20:22:32.4954509Z             
2025-03-21T20:22:32.4955555Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.4959505Z             aten__native_batch_norm_legit_no_training_default_96 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_96, p_features_16_branch1_2_bn_weight, p_features_16_branch1_2_bn_bias, b_features_16_branch1_2_bn_running_mean, b_features_16_branch1_2_bn_running_var, 0.1, 0.001);  aten_convolution_default_96 = p_features_16_branch1_2_bn_weight = p_features_16_branch1_2_bn_bias = b_features_16_branch1_2_bn_running_mean = b_features_16_branch1_2_bn_running_var = None
2025-03-21T20:22:32.4963027Z             getitem_99: "f32[1, 256, 17, 17]" = aten__native_batch_norm_legit_no_training_default_96[0];  aten__native_batch_norm_legit_no_training_default_96 = None
2025-03-21T20:22:32.4964052Z             
2025-03-21T20:22:32.4964857Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.4966319Z             aten_relu_default_96: "f32[1, 256, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_99);  getitem_99 = None
2025-03-21T20:22:32.4967149Z             
2025-03-21T20:22:32.4968018Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.4970075Z             aten_convolution_default_97: "f32[1, 192, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_cat_default_12, p_features_16_branch2_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  p_features_16_branch2_0_conv_weight = None
2025-03-21T20:22:32.4971643Z             
2025-03-21T20:22:32.4972543Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.4975803Z             aten__native_batch_norm_legit_no_training_default_97 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_97, p_features_16_branch2_0_bn_weight, p_features_16_branch2_0_bn_bias, b_features_16_branch2_0_bn_running_mean, b_features_16_branch2_0_bn_running_var, 0.1, 0.001);  aten_convolution_default_97 = p_features_16_branch2_0_bn_weight = p_features_16_branch2_0_bn_bias = b_features_16_branch2_0_bn_running_mean = b_features_16_branch2_0_bn_running_var = None
2025-03-21T20:22:32.4979300Z             getitem_100: "f32[1, 192, 17, 17]" = aten__native_batch_norm_legit_no_training_default_97[0];  aten__native_batch_norm_legit_no_training_default_97 = None
2025-03-21T20:22:32.4980573Z             
2025-03-21T20:22:32.4981516Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.4983243Z             aten_relu_default_97: "f32[1, 192, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_100);  getitem_100 = None
2025-03-21T20:22:32.4984236Z             
2025-03-21T20:22:32.4985118Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.4987330Z             aten_convolution_default_98: "f32[1, 192, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_97, p_features_16_branch2_1_conv_weight, None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1);  aten_relu_default_97 = p_features_16_branch2_1_conv_weight = None
2025-03-21T20:22:32.4989018Z             
2025-03-21T20:22:32.4989833Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.4993517Z             aten__native_batch_norm_legit_no_training_default_98 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_98, p_features_16_branch2_1_bn_weight, p_features_16_branch2_1_bn_bias, b_features_16_branch2_1_bn_running_mean, b_features_16_branch2_1_bn_running_var, 0.1, 0.001);  aten_convolution_default_98 = p_features_16_branch2_1_bn_weight = p_features_16_branch2_1_bn_bias = b_features_16_branch2_1_bn_running_mean = b_features_16_branch2_1_bn_running_var = None
2025-03-21T20:22:32.4997031Z             getitem_101: "f32[1, 192, 17, 17]" = aten__native_batch_norm_legit_no_training_default_98[0];  aten__native_batch_norm_legit_no_training_default_98 = None
2025-03-21T20:22:32.4998093Z             
2025-03-21T20:22:32.4999055Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.5000448Z             aten_relu_default_98: "f32[1, 192, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_101);  getitem_101 = None
2025-03-21T20:22:32.5001427Z             
2025-03-21T20:22:32.5002263Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.5004483Z             aten_convolution_default_99: "f32[1, 224, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_98, p_features_16_branch2_2_conv_weight, None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1);  aten_relu_default_98 = p_features_16_branch2_2_conv_weight = None
2025-03-21T20:22:32.5006213Z             
2025-03-21T20:22:32.5007020Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.5010756Z             aten__native_batch_norm_legit_no_training_default_99 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_99, p_features_16_branch2_2_bn_weight, p_features_16_branch2_2_bn_bias, b_features_16_branch2_2_bn_running_mean, b_features_16_branch2_2_bn_running_var, 0.1, 0.001);  aten_convolution_default_99 = p_features_16_branch2_2_bn_weight = p_features_16_branch2_2_bn_bias = b_features_16_branch2_2_bn_running_mean = b_features_16_branch2_2_bn_running_var = None
2025-03-21T20:22:32.5014306Z             getitem_102: "f32[1, 224, 17, 17]" = aten__native_batch_norm_legit_no_training_default_99[0];  aten__native_batch_norm_legit_no_training_default_99 = None
2025-03-21T20:22:32.5015521Z             
2025-03-21T20:22:32.5016384Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.5017748Z             aten_relu_default_99: "f32[1, 224, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_102);  getitem_102 = None
2025-03-21T20:22:32.5019035Z             
2025-03-21T20:22:32.5019896Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.5022084Z             aten_convolution_default_100: "f32[1, 224, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_99, p_features_16_branch2_3_conv_weight, None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1);  aten_relu_default_99 = p_features_16_branch2_3_conv_weight = None
2025-03-21T20:22:32.5023810Z             
2025-03-21T20:22:32.5024636Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.5028211Z             aten__native_batch_norm_legit_no_training_default_100 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_100, p_features_16_branch2_3_bn_weight, p_features_16_branch2_3_bn_bias, b_features_16_branch2_3_bn_running_mean, b_features_16_branch2_3_bn_running_var, 0.1, 0.001);  aten_convolution_default_100 = p_features_16_branch2_3_bn_weight = p_features_16_branch2_3_bn_bias = b_features_16_branch2_3_bn_running_mean = b_features_16_branch2_3_bn_running_var = None
2025-03-21T20:22:32.5038261Z             getitem_103: "f32[1, 224, 17, 17]" = aten__native_batch_norm_legit_no_training_default_100[0];  aten__native_batch_norm_legit_no_training_default_100 = None
2025-03-21T20:22:32.5039278Z             
2025-03-21T20:22:32.5040527Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.5041981Z             aten_relu_default_100: "f32[1, 224, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_103);  getitem_103 = None
2025-03-21T20:22:32.5042866Z             
2025-03-21T20:22:32.5043818Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.5046266Z             aten_convolution_default_101: "f32[1, 256, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_100, p_features_16_branch2_4_conv_weight, None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1);  aten_relu_default_100 = p_features_16_branch2_4_conv_weight = None
2025-03-21T20:22:32.5047992Z             
2025-03-21T20:22:32.5048908Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.5052214Z             aten__native_batch_norm_legit_no_training_default_101 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_101, p_features_16_branch2_4_bn_weight, p_features_16_branch2_4_bn_bias, b_features_16_branch2_4_bn_running_mean, b_features_16_branch2_4_bn_running_var, 0.1, 0.001);  aten_convolution_default_101 = p_features_16_branch2_4_bn_weight = p_features_16_branch2_4_bn_bias = b_features_16_branch2_4_bn_running_mean = b_features_16_branch2_4_bn_running_var = None
2025-03-21T20:22:32.5055563Z             getitem_104: "f32[1, 256, 17, 17]" = aten__native_batch_norm_legit_no_training_default_101[0];  aten__native_batch_norm_legit_no_training_default_101 = None
2025-03-21T20:22:32.5056736Z             
2025-03-21T20:22:32.5057618Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.5059078Z             aten_relu_default_101: "f32[1, 256, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_104);  getitem_104 = None
2025-03-21T20:22:32.5060060Z             
2025-03-21T20:22:32.5060972Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/inception_v4.py:146 in forward, code: x3 = self.branch3(x)
2025-03-21T20:22:32.5062696Z             aten_avg_pool2d_default_9: "f32[1, 1024, 17, 17]" = executorch_exir_dialects_edge__ops_aten_avg_pool2d_default(aten_cat_default_12, [3, 3], [1, 1], [1, 1], False, False);  aten_cat_default_12 = None
2025-03-21T20:22:32.5064314Z             
2025-03-21T20:22:32.5065321Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.5067472Z             aten_convolution_default_102: "f32[1, 128, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_avg_pool2d_default_9, p_features_16_branch3_1_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_avg_pool2d_default_9 = p_features_16_branch3_1_conv_weight = None
2025-03-21T20:22:32.5069065Z             
2025-03-21T20:22:32.5069874Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.5073514Z             aten__native_batch_norm_legit_no_training_default_102 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_102, p_features_16_branch3_1_bn_weight, p_features_16_branch3_1_bn_bias, b_features_16_branch3_1_bn_running_mean, b_features_16_branch3_1_bn_running_var, 0.1, 0.001);  aten_convolution_default_102 = p_features_16_branch3_1_bn_weight = p_features_16_branch3_1_bn_bias = b_features_16_branch3_1_bn_running_mean = b_features_16_branch3_1_bn_running_var = None
2025-03-21T20:22:32.5077385Z             getitem_105: "f32[1, 128, 17, 17]" = aten__native_batch_norm_legit_no_training_default_102[0];  aten__native_batch_norm_legit_no_training_default_102 = None
2025-03-21T20:22:32.5078413Z             
2025-03-21T20:22:32.5079228Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.5080674Z             aten_relu_default_102: "f32[1, 128, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_105);  getitem_105 = None
2025-03-21T20:22:32.5081606Z             
2025-03-21T20:22:32.5082534Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/inception_v4.py:147 in forward, code: out = torch.cat((x0, x1, x2, x3), 1)
2025-03-21T20:22:32.5084795Z             aten_cat_default_13: "f32[1, 1024, 17, 17]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_relu_default_93, aten_relu_default_96, aten_relu_default_101, aten_relu_default_102], 1);  aten_relu_default_93 = aten_relu_default_96 = aten_relu_default_101 = aten_relu_default_102 = None
2025-03-21T20:22:32.5086735Z             
2025-03-21T20:22:32.5087642Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.5089630Z             aten_convolution_default_103: "f32[1, 384, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_cat_default_13, p_features_17_branch0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  p_features_17_branch0_conv_weight = None
2025-03-21T20:22:32.5091193Z             
2025-03-21T20:22:32.5092098Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.5095468Z             aten__native_batch_norm_legit_no_training_default_103 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_103, p_features_17_branch0_bn_weight, p_features_17_branch0_bn_bias, b_features_17_branch0_bn_running_mean, b_features_17_branch0_bn_running_var, 0.1, 0.001);  aten_convolution_default_103 = p_features_17_branch0_bn_weight = p_features_17_branch0_bn_bias = b_features_17_branch0_bn_running_mean = b_features_17_branch0_bn_running_var = None
2025-03-21T20:22:32.5099075Z             getitem_106: "f32[1, 384, 17, 17]" = aten__native_batch_norm_legit_no_training_default_103[0];  aten__native_batch_norm_legit_no_training_default_103 = None
2025-03-21T20:22:32.5100388Z             
2025-03-21T20:22:32.5101330Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.5102891Z             aten_relu_default_103: "f32[1, 384, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_106);  getitem_106 = None
2025-03-21T20:22:32.5103777Z             
2025-03-21T20:22:32.5104773Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.5106870Z             aten_convolution_default_104: "f32[1, 192, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_cat_default_13, p_features_17_branch1_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  p_features_17_branch1_0_conv_weight = None
2025-03-21T20:22:32.5108357Z             
2025-03-21T20:22:32.5109266Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.5112830Z             aten__native_batch_norm_legit_no_training_default_104 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_104, p_features_17_branch1_0_bn_weight, p_features_17_branch1_0_bn_bias, b_features_17_branch1_0_bn_running_mean, b_features_17_branch1_0_bn_running_var, 0.1, 0.001);  aten_convolution_default_104 = p_features_17_branch1_0_bn_weight = p_features_17_branch1_0_bn_bias = b_features_17_branch1_0_bn_running_mean = b_features_17_branch1_0_bn_running_var = None
2025-03-21T20:22:32.5116323Z             getitem_107: "f32[1, 192, 17, 17]" = aten__native_batch_norm_legit_no_training_default_104[0];  aten__native_batch_norm_legit_no_training_default_104 = None
2025-03-21T20:22:32.5117271Z             
2025-03-21T20:22:32.5118130Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.5119668Z             aten_relu_default_104: "f32[1, 192, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_107);  getitem_107 = None
2025-03-21T20:22:32.5120627Z             
2025-03-21T20:22:32.5121526Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.5123629Z             aten_convolution_default_105: "f32[1, 224, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_104, p_features_17_branch1_1_conv_weight, None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1);  aten_relu_default_104 = p_features_17_branch1_1_conv_weight = None
2025-03-21T20:22:32.5125281Z             
2025-03-21T20:22:32.5126188Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.5129666Z             aten__native_batch_norm_legit_no_training_default_105 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_105, p_features_17_branch1_1_bn_weight, p_features_17_branch1_1_bn_bias, b_features_17_branch1_1_bn_running_mean, b_features_17_branch1_1_bn_running_var, 0.1, 0.001);  aten_convolution_default_105 = p_features_17_branch1_1_bn_weight = p_features_17_branch1_1_bn_bias = b_features_17_branch1_1_bn_running_mean = b_features_17_branch1_1_bn_running_var = None
2025-03-21T20:22:32.5133154Z             getitem_108: "f32[1, 224, 17, 17]" = aten__native_batch_norm_legit_no_training_default_105[0];  aten__native_batch_norm_legit_no_training_default_105 = None
2025-03-21T20:22:32.5134093Z             
2025-03-21T20:22:32.5135015Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.5136425Z             aten_relu_default_105: "f32[1, 224, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_108);  getitem_108 = None
2025-03-21T20:22:32.5137553Z             
2025-03-21T20:22:32.5138389Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.5141008Z             aten_convolution_default_106: "f32[1, 256, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_105, p_features_17_branch1_2_conv_weight, None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1);  aten_relu_default_105 = p_features_17_branch1_2_conv_weight = None
2025-03-21T20:22:32.5142723Z             
2025-03-21T20:22:32.5143541Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.5147080Z             aten__native_batch_norm_legit_no_training_default_106 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_106, p_features_17_branch1_2_bn_weight, p_features_17_branch1_2_bn_bias, b_features_17_branch1_2_bn_running_mean, b_features_17_branch1_2_bn_running_var, 0.1, 0.001);  aten_convolution_default_106 = p_features_17_branch1_2_bn_weight = p_features_17_branch1_2_bn_bias = b_features_17_branch1_2_bn_running_mean = b_features_17_branch1_2_bn_running_var = None
2025-03-21T20:22:32.5150598Z             getitem_109: "f32[1, 256, 17, 17]" = aten__native_batch_norm_legit_no_training_default_106[0];  aten__native_batch_norm_legit_no_training_default_106 = None
2025-03-21T20:22:32.5151537Z             
2025-03-21T20:22:32.5152399Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.5153830Z             aten_relu_default_106: "f32[1, 256, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_109);  getitem_109 = None
2025-03-21T20:22:32.5154782Z             
2025-03-21T20:22:32.5155612Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.5157902Z             aten_convolution_default_107: "f32[1, 192, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_cat_default_13, p_features_17_branch2_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  p_features_17_branch2_0_conv_weight = None
2025-03-21T20:22:32.5159357Z             
2025-03-21T20:22:32.5160222Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.5163593Z             aten__native_batch_norm_legit_no_training_default_107 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_107, p_features_17_branch2_0_bn_weight, p_features_17_branch2_0_bn_bias, b_features_17_branch2_0_bn_running_mean, b_features_17_branch2_0_bn_running_var, 0.1, 0.001);  aten_convolution_default_107 = p_features_17_branch2_0_bn_weight = p_features_17_branch2_0_bn_bias = b_features_17_branch2_0_bn_running_mean = b_features_17_branch2_0_bn_running_var = None
2025-03-21T20:22:32.5167127Z             getitem_110: "f32[1, 192, 17, 17]" = aten__native_batch_norm_legit_no_training_default_107[0];  aten__native_batch_norm_legit_no_training_default_107 = None
2025-03-21T20:22:32.5168208Z             
2025-03-21T20:22:32.5169077Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.5170557Z             aten_relu_default_107: "f32[1, 192, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_110);  getitem_110 = None
2025-03-21T20:22:32.5171472Z             
2025-03-21T20:22:32.5172370Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.5174503Z             aten_convolution_default_108: "f32[1, 192, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_107, p_features_17_branch2_1_conv_weight, None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1);  aten_relu_default_107 = p_features_17_branch2_1_conv_weight = None
2025-03-21T20:22:32.5176554Z             
2025-03-21T20:22:32.5177471Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.5181067Z             aten__native_batch_norm_legit_no_training_default_108 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_108, p_features_17_branch2_1_bn_weight, p_features_17_branch2_1_bn_bias, b_features_17_branch2_1_bn_running_mean, b_features_17_branch2_1_bn_running_var, 0.1, 0.001);  aten_convolution_default_108 = p_features_17_branch2_1_bn_weight = p_features_17_branch2_1_bn_bias = b_features_17_branch2_1_bn_running_mean = b_features_17_branch2_1_bn_running_var = None
2025-03-21T20:22:32.5184602Z             getitem_111: "f32[1, 192, 17, 17]" = aten__native_batch_norm_legit_no_training_default_108[0];  aten__native_batch_norm_legit_no_training_default_108 = None
2025-03-21T20:22:32.5185625Z             
2025-03-21T20:22:32.5186481Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.5188120Z             aten_relu_default_108: "f32[1, 192, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_111);  getitem_111 = None
2025-03-21T20:22:32.5189119Z             
2025-03-21T20:22:32.5189938Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.5192364Z             aten_convolution_default_109: "f32[1, 224, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_108, p_features_17_branch2_2_conv_weight, None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1);  aten_relu_default_108 = p_features_17_branch2_2_conv_weight = None
2025-03-21T20:22:32.5193998Z             
2025-03-21T20:22:32.5194884Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.5198550Z             aten__native_batch_norm_legit_no_training_default_109 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_109, p_features_17_branch2_2_bn_weight, p_features_17_branch2_2_bn_bias, b_features_17_branch2_2_bn_running_mean, b_features_17_branch2_2_bn_running_var, 0.1, 0.001);  aten_convolution_default_109 = p_features_17_branch2_2_bn_weight = p_features_17_branch2_2_bn_bias = b_features_17_branch2_2_bn_running_mean = b_features_17_branch2_2_bn_running_var = None
2025-03-21T20:22:32.5202140Z             getitem_112: "f32[1, 224, 17, 17]" = aten__native_batch_norm_legit_no_training_default_109[0];  aten__native_batch_norm_legit_no_training_default_109 = None
2025-03-21T20:22:32.5203081Z             
2025-03-21T20:22:32.5203879Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.5205338Z             aten_relu_default_109: "f32[1, 224, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_112);  getitem_112 = None
2025-03-21T20:22:32.5206418Z             
2025-03-21T20:22:32.5207290Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.5209498Z             aten_convolution_default_110: "f32[1, 224, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_109, p_features_17_branch2_3_conv_weight, None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1);  aten_relu_default_109 = p_features_17_branch2_3_conv_weight = None
2025-03-21T20:22:32.5211352Z             
2025-03-21T20:22:32.5212192Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.5215788Z             aten__native_batch_norm_legit_no_training_default_110 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_110, p_features_17_branch2_3_bn_weight, p_features_17_branch2_3_bn_bias, b_features_17_branch2_3_bn_running_mean, b_features_17_branch2_3_bn_running_var, 0.1, 0.001);  aten_convolution_default_110 = p_features_17_branch2_3_bn_weight = p_features_17_branch2_3_bn_bias = b_features_17_branch2_3_bn_running_mean = b_features_17_branch2_3_bn_running_var = None
2025-03-21T20:22:32.5219217Z             getitem_113: "f32[1, 224, 17, 17]" = aten__native_batch_norm_legit_no_training_default_110[0];  aten__native_batch_norm_legit_no_training_default_110 = None
2025-03-21T20:22:32.5220257Z             
2025-03-21T20:22:32.5221123Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.5222612Z             aten_relu_default_110: "f32[1, 224, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_113);  getitem_113 = None
2025-03-21T20:22:32.5223584Z             
2025-03-21T20:22:32.5224615Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.5226712Z             aten_convolution_default_111: "f32[1, 256, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_110, p_features_17_branch2_4_conv_weight, None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1);  aten_relu_default_110 = p_features_17_branch2_4_conv_weight = None
2025-03-21T20:22:32.5228265Z             
2025-03-21T20:22:32.5229188Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.5232729Z             aten__native_batch_norm_legit_no_training_default_111 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_111, p_features_17_branch2_4_bn_weight, p_features_17_branch2_4_bn_bias, b_features_17_branch2_4_bn_running_mean, b_features_17_branch2_4_bn_running_var, 0.1, 0.001);  aten_convolution_default_111 = p_features_17_branch2_4_bn_weight = p_features_17_branch2_4_bn_bias = b_features_17_branch2_4_bn_running_mean = b_features_17_branch2_4_bn_running_var = None
2025-03-21T20:22:32.5236229Z             getitem_114: "f32[1, 256, 17, 17]" = aten__native_batch_norm_legit_no_training_default_111[0];  aten__native_batch_norm_legit_no_training_default_111 = None
2025-03-21T20:22:32.5237232Z             
2025-03-21T20:22:32.5238069Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.5239508Z             aten_relu_default_111: "f32[1, 256, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_114);  getitem_114 = None
2025-03-21T20:22:32.5240715Z             
2025-03-21T20:22:32.5241737Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/inception_v4.py:146 in forward, code: x3 = self.branch3(x)
2025-03-21T20:22:32.5243404Z             aten_avg_pool2d_default_10: "f32[1, 1024, 17, 17]" = executorch_exir_dialects_edge__ops_aten_avg_pool2d_default(aten_cat_default_13, [3, 3], [1, 1], [1, 1], False, False);  aten_cat_default_13 = None
2025-03-21T20:22:32.5244623Z             
2025-03-21T20:22:32.5245512Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.5247890Z             aten_convolution_default_112: "f32[1, 128, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_avg_pool2d_default_10, p_features_17_branch3_1_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_avg_pool2d_default_10 = p_features_17_branch3_1_conv_weight = None
2025-03-21T20:22:32.5249844Z             
2025-03-21T20:22:32.5250970Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.5254454Z             aten__native_batch_norm_legit_no_training_default_112 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_112, p_features_17_branch3_1_bn_weight, p_features_17_branch3_1_bn_bias, b_features_17_branch3_1_bn_running_mean, b_features_17_branch3_1_bn_running_var, 0.1, 0.001);  aten_convolution_default_112 = p_features_17_branch3_1_bn_weight = p_features_17_branch3_1_bn_bias = b_features_17_branch3_1_bn_running_mean = b_features_17_branch3_1_bn_running_var = None
2025-03-21T20:22:32.5258145Z             getitem_115: "f32[1, 128, 17, 17]" = aten__native_batch_norm_legit_no_training_default_112[0];  aten__native_batch_norm_legit_no_training_default_112 = None
2025-03-21T20:22:32.5259094Z             
2025-03-21T20:22:32.5260107Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.5261492Z             aten_relu_default_112: "f32[1, 128, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_115);  getitem_115 = None
2025-03-21T20:22:32.5262653Z             
2025-03-21T20:22:32.5263648Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/inception_v4.py:147 in forward, code: out = torch.cat((x0, x1, x2, x3), 1)
2025-03-21T20:22:32.5266044Z             aten_cat_default_14: "f32[1, 1024, 17, 17]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_relu_default_103, aten_relu_default_106, aten_relu_default_111, aten_relu_default_112], 1);  aten_relu_default_103 = aten_relu_default_106 = aten_relu_default_111 = aten_relu_default_112 = None
2025-03-21T20:22:32.5267772Z             
2025-03-21T20:22:32.5268695Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.5270752Z             aten_convolution_default_113: "f32[1, 192, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_cat_default_14, p_features_18_branch0_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  p_features_18_branch0_0_conv_weight = None
2025-03-21T20:22:32.5272286Z             
2025-03-21T20:22:32.5273220Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.5276550Z             aten__native_batch_norm_legit_no_training_default_113 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_113, p_features_18_branch0_0_bn_weight, p_features_18_branch0_0_bn_bias, b_features_18_branch0_0_bn_running_mean, b_features_18_branch0_0_bn_running_var, 0.1, 0.001);  aten_convolution_default_113 = p_features_18_branch0_0_bn_weight = p_features_18_branch0_0_bn_bias = b_features_18_branch0_0_bn_running_mean = b_features_18_branch0_0_bn_running_var = None
2025-03-21T20:22:32.5279971Z             getitem_116: "f32[1, 192, 17, 17]" = aten__native_batch_norm_legit_no_training_default_113[0];  aten__native_batch_norm_legit_no_training_default_113 = None
2025-03-21T20:22:32.5281049Z             
2025-03-21T20:22:32.5281962Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.5283405Z             aten_relu_default_113: "f32[1, 192, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_116);  getitem_116 = None
2025-03-21T20:22:32.5284247Z             
2025-03-21T20:22:32.5285211Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.5287708Z             aten_convolution_default_114: "f32[1, 192, 8, 8]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_113, p_features_18_branch0_1_conv_weight, None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1);  aten_relu_default_113 = p_features_18_branch0_1_conv_weight = None
2025-03-21T20:22:32.5289430Z             
2025-03-21T20:22:32.5290327Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.5293913Z             aten__native_batch_norm_legit_no_training_default_114 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_114, p_features_18_branch0_1_bn_weight, p_features_18_branch0_1_bn_bias, b_features_18_branch0_1_bn_running_mean, b_features_18_branch0_1_bn_running_var, 0.1, 0.001);  aten_convolution_default_114 = p_features_18_branch0_1_bn_weight = p_features_18_branch0_1_bn_bias = b_features_18_branch0_1_bn_running_mean = b_features_18_branch0_1_bn_running_var = None
2025-03-21T20:22:32.5297341Z             getitem_117: "f32[1, 192, 8, 8]" = aten__native_batch_norm_legit_no_training_default_114[0];  aten__native_batch_norm_legit_no_training_default_114 = None
2025-03-21T20:22:32.5298373Z             
2025-03-21T20:22:32.5299434Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.5301061Z             aten_relu_default_114: "f32[1, 192, 8, 8]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_117);  getitem_117 = None
2025-03-21T20:22:32.5301912Z             
2025-03-21T20:22:32.5302814Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.5304978Z             aten_convolution_default_115: "f32[1, 256, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_cat_default_14, p_features_18_branch1_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  p_features_18_branch1_0_conv_weight = None
2025-03-21T20:22:32.5306508Z             
2025-03-21T20:22:32.5307369Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.5324362Z             aten__native_batch_norm_legit_no_training_default_115 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_115, p_features_18_branch1_0_bn_weight, p_features_18_branch1_0_bn_bias, b_features_18_branch1_0_bn_running_mean, b_features_18_branch1_0_bn_running_var, 0.1, 0.001);  aten_convolution_default_115 = p_features_18_branch1_0_bn_weight = p_features_18_branch1_0_bn_bias = b_features_18_branch1_0_bn_running_mean = b_features_18_branch1_0_bn_running_var = None
2025-03-21T20:22:32.5327996Z             getitem_118: "f32[1, 256, 17, 17]" = aten__native_batch_norm_legit_no_training_default_115[0];  aten__native_batch_norm_legit_no_training_default_115 = None
2025-03-21T20:22:32.5329159Z             
2025-03-21T20:22:32.5330046Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.5331585Z             aten_relu_default_115: "f32[1, 256, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_118);  getitem_118 = None
2025-03-21T20:22:32.5332522Z             
2025-03-21T20:22:32.5333389Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.5335519Z             aten_convolution_default_116: "f32[1, 256, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_115, p_features_18_branch1_1_conv_weight, None, [1, 1], [0, 3], [1, 1], False, [0, 0], 1);  aten_relu_default_115 = p_features_18_branch1_1_conv_weight = None
2025-03-21T20:22:32.5337552Z             
2025-03-21T20:22:32.5338384Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.5342780Z             aten__native_batch_norm_legit_no_training_default_116 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_116, p_features_18_branch1_1_bn_weight, p_features_18_branch1_1_bn_bias, b_features_18_branch1_1_bn_running_mean, b_features_18_branch1_1_bn_running_var, 0.1, 0.001);  aten_convolution_default_116 = p_features_18_branch1_1_bn_weight = p_features_18_branch1_1_bn_bias = b_features_18_branch1_1_bn_running_mean = b_features_18_branch1_1_bn_running_var = None
2025-03-21T20:22:32.5346258Z             getitem_119: "f32[1, 256, 17, 17]" = aten__native_batch_norm_legit_no_training_default_116[0];  aten__native_batch_norm_legit_no_training_default_116 = None
2025-03-21T20:22:32.5347346Z             
2025-03-21T20:22:32.5348202Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.5349523Z             aten_relu_default_116: "f32[1, 256, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_119);  getitem_119 = None
2025-03-21T20:22:32.5350611Z             
2025-03-21T20:22:32.5351434Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.5353584Z             aten_convolution_default_117: "f32[1, 320, 17, 17]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_116, p_features_18_branch1_2_conv_weight, None, [1, 1], [3, 0], [1, 1], False, [0, 0], 1);  aten_relu_default_116 = p_features_18_branch1_2_conv_weight = None
2025-03-21T20:22:32.5355160Z             
2025-03-21T20:22:32.5355980Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.5359515Z             aten__native_batch_norm_legit_no_training_default_117 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_117, p_features_18_branch1_2_bn_weight, p_features_18_branch1_2_bn_bias, b_features_18_branch1_2_bn_running_mean, b_features_18_branch1_2_bn_running_var, 0.1, 0.001);  aten_convolution_default_117 = p_features_18_branch1_2_bn_weight = p_features_18_branch1_2_bn_bias = b_features_18_branch1_2_bn_running_mean = b_features_18_branch1_2_bn_running_var = None
2025-03-21T20:22:32.5362986Z             getitem_120: "f32[1, 320, 17, 17]" = aten__native_batch_norm_legit_no_training_default_117[0];  aten__native_batch_norm_legit_no_training_default_117 = None
2025-03-21T20:22:32.5363998Z             
2025-03-21T20:22:32.5364885Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.5366327Z             aten_relu_default_117: "f32[1, 320, 17, 17]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_120);  getitem_120 = None
2025-03-21T20:22:32.5367170Z             
2025-03-21T20:22:32.5368079Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.5370339Z             aten_convolution_default_118: "f32[1, 320, 8, 8]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_117, p_features_18_branch1_3_conv_weight, None, [2, 2], [0, 0], [1, 1], False, [0, 0], 1);  aten_relu_default_117 = p_features_18_branch1_3_conv_weight = None
2025-03-21T20:22:32.5371935Z             
2025-03-21T20:22:32.5372859Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.5376485Z             aten__native_batch_norm_legit_no_training_default_118 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_118, p_features_18_branch1_3_bn_weight, p_features_18_branch1_3_bn_bias, b_features_18_branch1_3_bn_running_mean, b_features_18_branch1_3_bn_running_var, 0.1, 0.001);  aten_convolution_default_118 = p_features_18_branch1_3_bn_weight = p_features_18_branch1_3_bn_bias = b_features_18_branch1_3_bn_running_mean = b_features_18_branch1_3_bn_running_var = None
2025-03-21T20:22:32.5380215Z             getitem_121: "f32[1, 320, 8, 8]" = aten__native_batch_norm_legit_no_training_default_118[0];  aten__native_batch_norm_legit_no_training_default_118 = None
2025-03-21T20:22:32.5381145Z             
2025-03-21T20:22:32.5382015Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.5383387Z             aten_relu_default_118: "f32[1, 320, 8, 8]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_121);  getitem_121 = None
2025-03-21T20:22:32.5384293Z             
2025-03-21T20:22:32.5385159Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/inception_v4.py:172 in forward, code: x2 = self.branch2(x)
2025-03-21T20:22:32.5387065Z             aten_max_pool2d_with_indices_default_3 = executorch_exir_dialects_edge__ops_aten_max_pool2d_with_indices_default(aten_cat_default_14, [3, 3], [2, 2]);  aten_cat_default_14 = None
2025-03-21T20:22:32.5388830Z             getitem_122: "f32[1, 1024, 8, 8]" = aten_max_pool2d_with_indices_default_3[0];  aten_max_pool2d_with_indices_default_3 = None
2025-03-21T20:22:32.5389799Z             
2025-03-21T20:22:32.5390875Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/inception_v4.py:173 in forward, code: out = torch.cat((x0, x1, x2), 1)
2025-03-21T20:22:32.5392933Z             aten_cat_default_15: "f32[1, 1536, 8, 8]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_relu_default_114, aten_relu_default_118, getitem_122], 1);  aten_relu_default_114 = aten_relu_default_118 = getitem_122 = None
2025-03-21T20:22:32.5394368Z             
2025-03-21T20:22:32.5395263Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.5397335Z             aten_convolution_default_119: "f32[1, 256, 8, 8]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_cat_default_15, p_features_19_branch0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  p_features_19_branch0_conv_weight = None
2025-03-21T20:22:32.5398890Z             
2025-03-21T20:22:32.5399821Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.5403561Z             aten__native_batch_norm_legit_no_training_default_119 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_119, p_features_19_branch0_bn_weight, p_features_19_branch0_bn_bias, b_features_19_branch0_bn_running_mean, b_features_19_branch0_bn_running_var, 0.1, 0.001);  aten_convolution_default_119 = p_features_19_branch0_bn_weight = p_features_19_branch0_bn_bias = b_features_19_branch0_bn_running_mean = b_features_19_branch0_bn_running_var = None
2025-03-21T20:22:32.5407021Z             getitem_123: "f32[1, 256, 8, 8]" = aten__native_batch_norm_legit_no_training_default_119[0];  aten__native_batch_norm_legit_no_training_default_119 = None
2025-03-21T20:22:32.5408026Z             
2025-03-21T20:22:32.5408887Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.5410302Z             aten_relu_default_119: "f32[1, 256, 8, 8]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_123);  getitem_123 = None
2025-03-21T20:22:32.5411231Z             
2025-03-21T20:22:32.5412052Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.5414323Z             aten_convolution_default_120: "f32[1, 384, 8, 8]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_cat_default_15, p_features_19_branch1_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  p_features_19_branch1_0_conv_weight = None
2025-03-21T20:22:32.5415806Z             
2025-03-21T20:22:32.5416707Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.5420223Z             aten__native_batch_norm_legit_no_training_default_120 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_120, p_features_19_branch1_0_bn_weight, p_features_19_branch1_0_bn_bias, b_features_19_branch1_0_bn_running_mean, b_features_19_branch1_0_bn_running_var, 0.1, 0.001);  aten_convolution_default_120 = p_features_19_branch1_0_bn_weight = p_features_19_branch1_0_bn_bias = b_features_19_branch1_0_bn_running_mean = b_features_19_branch1_0_bn_running_var = None
2025-03-21T20:22:32.5423809Z             getitem_124: "f32[1, 384, 8, 8]" = aten__native_batch_norm_legit_no_training_default_120[0];  aten__native_batch_norm_legit_no_training_default_120 = None
2025-03-21T20:22:32.5424945Z             
2025-03-21T20:22:32.5425749Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.5427213Z             aten_relu_default_120: "f32[1, 384, 8, 8]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_124);  getitem_124 = None
2025-03-21T20:22:32.5428165Z             
2025-03-21T20:22:32.5429128Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.5431241Z             aten_convolution_default_121: "f32[1, 256, 8, 8]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_120, p_features_19_branch1_1a_conv_weight, None, [1, 1], [0, 1], [1, 1], False, [0, 0], 1);  p_features_19_branch1_1a_conv_weight = None
2025-03-21T20:22:32.5432740Z             
2025-03-21T20:22:32.5433652Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.5437160Z             aten__native_batch_norm_legit_no_training_default_121 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_121, p_features_19_branch1_1a_bn_weight, p_features_19_branch1_1a_bn_bias, b_features_19_branch1_1a_bn_running_mean, b_features_19_branch1_1a_bn_running_var, 0.1, 0.001);  aten_convolution_default_121 = p_features_19_branch1_1a_bn_weight = p_features_19_branch1_1a_bn_bias = b_features_19_branch1_1a_bn_running_mean = b_features_19_branch1_1a_bn_running_var = None
2025-03-21T20:22:32.5441245Z             getitem_125: "f32[1, 256, 8, 8]" = aten__native_batch_norm_legit_no_training_default_121[0];  aten__native_batch_norm_legit_no_training_default_121 = None
2025-03-21T20:22:32.5442186Z             
2025-03-21T20:22:32.5442990Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.5444301Z             aten_relu_default_121: "f32[1, 256, 8, 8]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_125);  getitem_125 = None
2025-03-21T20:22:32.5445196Z             
2025-03-21T20:22:32.5446071Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.5448223Z             aten_convolution_default_122: "f32[1, 256, 8, 8]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_120, p_features_19_branch1_1b_conv_weight, None, [1, 1], [1, 0], [1, 1], False, [0, 0], 1);  aten_relu_default_120 = p_features_19_branch1_1b_conv_weight = None
2025-03-21T20:22:32.5450461Z             
2025-03-21T20:22:32.5451564Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.5454974Z             aten__native_batch_norm_legit_no_training_default_122 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_122, p_features_19_branch1_1b_bn_weight, p_features_19_branch1_1b_bn_bias, b_features_19_branch1_1b_bn_running_mean, b_features_19_branch1_1b_bn_running_var, 0.1, 0.001);  aten_convolution_default_122 = p_features_19_branch1_1b_bn_weight = p_features_19_branch1_1b_bn_bias = b_features_19_branch1_1b_bn_running_mean = b_features_19_branch1_1b_bn_running_var = None
2025-03-21T20:22:32.5458362Z             getitem_126: "f32[1, 256, 8, 8]" = aten__native_batch_norm_legit_no_training_default_122[0];  aten__native_batch_norm_legit_no_training_default_122 = None
2025-03-21T20:22:32.5459437Z             
2025-03-21T20:22:32.5460245Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.5461570Z             aten_relu_default_122: "f32[1, 256, 8, 8]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_126);  getitem_126 = None
2025-03-21T20:22:32.5462707Z             
2025-03-21T20:22:32.5463692Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/inception_v4.py:204 in forward, code: x1 = torch.cat((x1_1a, x1_1b), 1)
2025-03-21T20:22:32.5465635Z             aten_cat_default_16: "f32[1, 512, 8, 8]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_relu_default_121, aten_relu_default_122], 1);  aten_relu_default_121 = aten_relu_default_122 = None
2025-03-21T20:22:32.5466783Z             
2025-03-21T20:22:32.5467665Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.5469894Z             aten_convolution_default_123: "f32[1, 384, 8, 8]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_cat_default_15, p_features_19_branch2_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  p_features_19_branch2_0_conv_weight = None
2025-03-21T20:22:32.5471414Z             
2025-03-21T20:22:32.5472269Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.5475753Z             aten__native_batch_norm_legit_no_training_default_123 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_123, p_features_19_branch2_0_bn_weight, p_features_19_branch2_0_bn_bias, b_features_19_branch2_0_bn_running_mean, b_features_19_branch2_0_bn_running_var, 0.1, 0.001);  aten_convolution_default_123 = p_features_19_branch2_0_bn_weight = p_features_19_branch2_0_bn_bias = b_features_19_branch2_0_bn_running_mean = b_features_19_branch2_0_bn_running_var = None
2025-03-21T20:22:32.5479334Z             getitem_127: "f32[1, 384, 8, 8]" = aten__native_batch_norm_legit_no_training_default_123[0];  aten__native_batch_norm_legit_no_training_default_123 = None
2025-03-21T20:22:32.5480461Z             
2025-03-21T20:22:32.5481457Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.5482886Z             aten_relu_default_123: "f32[1, 384, 8, 8]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_127);  getitem_127 = None
2025-03-21T20:22:32.5483815Z             
2025-03-21T20:22:32.5484777Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.5487210Z             aten_convolution_default_124: "f32[1, 448, 8, 8]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_123, p_features_19_branch2_1_conv_weight, None, [1, 1], [1, 0], [1, 1], False, [0, 0], 1);  aten_relu_default_123 = p_features_19_branch2_1_conv_weight = None
2025-03-21T20:22:32.5489247Z             
2025-03-21T20:22:32.5490071Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.5493768Z             aten__native_batch_norm_legit_no_training_default_124 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_124, p_features_19_branch2_1_bn_weight, p_features_19_branch2_1_bn_bias, b_features_19_branch2_1_bn_running_mean, b_features_19_branch2_1_bn_running_var, 0.1, 0.001);  aten_convolution_default_124 = p_features_19_branch2_1_bn_weight = p_features_19_branch2_1_bn_bias = b_features_19_branch2_1_bn_running_mean = b_features_19_branch2_1_bn_running_var = None
2025-03-21T20:22:32.5497200Z             getitem_128: "f32[1, 448, 8, 8]" = aten__native_batch_norm_legit_no_training_default_124[0];  aten__native_batch_norm_legit_no_training_default_124 = None
2025-03-21T20:22:32.5498180Z             
2025-03-21T20:22:32.5499067Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.5500654Z             aten_relu_default_124: "f32[1, 448, 8, 8]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_128);  getitem_128 = None
2025-03-21T20:22:32.5501622Z             
2025-03-21T20:22:32.5502541Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.5504699Z             aten_convolution_default_125: "f32[1, 512, 8, 8]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_124, p_features_19_branch2_2_conv_weight, None, [1, 1], [0, 1], [1, 1], False, [0, 0], 1);  aten_relu_default_124 = p_features_19_branch2_2_conv_weight = None
2025-03-21T20:22:32.5506312Z             
2025-03-21T20:22:32.5507143Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.5510599Z             aten__native_batch_norm_legit_no_training_default_125 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_125, p_features_19_branch2_2_bn_weight, p_features_19_branch2_2_bn_bias, b_features_19_branch2_2_bn_running_mean, b_features_19_branch2_2_bn_running_var, 0.1, 0.001);  aten_convolution_default_125 = p_features_19_branch2_2_bn_weight = p_features_19_branch2_2_bn_bias = b_features_19_branch2_2_bn_running_mean = b_features_19_branch2_2_bn_running_var = None
2025-03-21T20:22:32.5514138Z             getitem_129: "f32[1, 512, 8, 8]" = aten__native_batch_norm_legit_no_training_default_125[0];  aten__native_batch_norm_legit_no_training_default_125 = None
2025-03-21T20:22:32.5515185Z             
2025-03-21T20:22:32.5516073Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.5517458Z             aten_relu_default_125: "f32[1, 512, 8, 8]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_129);  getitem_129 = None
2025-03-21T20:22:32.5518351Z             
2025-03-21T20:22:32.5519330Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.5521488Z             aten_convolution_default_126: "f32[1, 256, 8, 8]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_125, p_features_19_branch2_3a_conv_weight, None, [1, 1], [0, 1], [1, 1], False, [0, 0], 1);  p_features_19_branch2_3a_conv_weight = None
2025-03-21T20:22:32.5523123Z             
2025-03-21T20:22:32.5524021Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.5527861Z             aten__native_batch_norm_legit_no_training_default_126 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_126, p_features_19_branch2_3a_bn_weight, p_features_19_branch2_3a_bn_bias, b_features_19_branch2_3a_bn_running_mean, b_features_19_branch2_3a_bn_running_var, 0.1, 0.001);  aten_convolution_default_126 = p_features_19_branch2_3a_bn_weight = p_features_19_branch2_3a_bn_bias = b_features_19_branch2_3a_bn_running_mean = b_features_19_branch2_3a_bn_running_var = None
2025-03-21T20:22:32.5531459Z             getitem_130: "f32[1, 256, 8, 8]" = aten__native_batch_norm_legit_no_training_default_126[0];  aten__native_batch_norm_legit_no_training_default_126 = None
2025-03-21T20:22:32.5532384Z             
2025-03-21T20:22:32.5533256Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.5534646Z             aten_relu_default_126: "f32[1, 256, 8, 8]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_130);  getitem_130 = None
2025-03-21T20:22:32.5535572Z             
2025-03-21T20:22:32.5536385Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.5538839Z             aten_convolution_default_127: "f32[1, 256, 8, 8]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_125, p_features_19_branch2_3b_conv_weight, None, [1, 1], [1, 0], [1, 1], False, [0, 0], 1);  aten_relu_default_125 = p_features_19_branch2_3b_conv_weight = None
2025-03-21T20:22:32.5540756Z             
2025-03-21T20:22:32.5541680Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.5545194Z             aten__native_batch_norm_legit_no_training_default_127 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_127, p_features_19_branch2_3b_bn_weight, p_features_19_branch2_3b_bn_bias, b_features_19_branch2_3b_bn_running_mean, b_features_19_branch2_3b_bn_running_var, 0.1, 0.001);  aten_convolution_default_127 = p_features_19_branch2_3b_bn_weight = p_features_19_branch2_3b_bn_bias = b_features_19_branch2_3b_bn_running_mean = b_features_19_branch2_3b_bn_running_var = None
2025-03-21T20:22:32.5548989Z             getitem_131: "f32[1, 256, 8, 8]" = aten__native_batch_norm_legit_no_training_default_127[0];  aten__native_batch_norm_legit_no_training_default_127 = None
2025-03-21T20:22:32.5550037Z             
2025-03-21T20:22:32.5550886Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.5552205Z             aten_relu_default_127: "f32[1, 256, 8, 8]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_131);  getitem_131 = None
2025-03-21T20:22:32.5553050Z             
2025-03-21T20:22:32.5553964Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/inception_v4.py:211 in forward, code: x2 = torch.cat((x2_3a, x2_3b), 1)
2025-03-21T20:22:32.5555700Z             aten_cat_default_17: "f32[1, 512, 8, 8]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_relu_default_126, aten_relu_default_127], 1);  aten_relu_default_126 = aten_relu_default_127 = None
2025-03-21T20:22:32.5556989Z             
2025-03-21T20:22:32.5557840Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/inception_v4.py:213 in forward, code: x3 = self.branch3(x)
2025-03-21T20:22:32.5559694Z             aten_avg_pool2d_default_11: "f32[1, 1536, 8, 8]" = executorch_exir_dialects_edge__ops_aten_avg_pool2d_default(aten_cat_default_15, [3, 3], [1, 1], [1, 1], False, False);  aten_cat_default_15 = None
2025-03-21T20:22:32.5561368Z             
2025-03-21T20:22:32.5562203Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.5564583Z             aten_convolution_default_128: "f32[1, 256, 8, 8]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_avg_pool2d_default_11, p_features_19_branch3_1_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_avg_pool2d_default_11 = p_features_19_branch3_1_conv_weight = None
2025-03-21T20:22:32.5566413Z             
2025-03-21T20:22:32.5567216Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.5570580Z             aten__native_batch_norm_legit_no_training_default_128 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_128, p_features_19_branch3_1_bn_weight, p_features_19_branch3_1_bn_bias, b_features_19_branch3_1_bn_running_mean, b_features_19_branch3_1_bn_running_var, 0.1, 0.001);  aten_convolution_default_128 = p_features_19_branch3_1_bn_weight = p_features_19_branch3_1_bn_bias = b_features_19_branch3_1_bn_running_mean = b_features_19_branch3_1_bn_running_var = None
2025-03-21T20:22:32.5574010Z             getitem_132: "f32[1, 256, 8, 8]" = aten__native_batch_norm_legit_no_training_default_128[0];  aten__native_batch_norm_legit_no_training_default_128 = None
2025-03-21T20:22:32.5575122Z             
2025-03-21T20:22:32.5575910Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.5577216Z             aten_relu_default_128: "f32[1, 256, 8, 8]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_132);  getitem_132 = None
2025-03-21T20:22:32.5578227Z             
2025-03-21T20:22:32.5579204Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/inception_v4.py:215 in forward, code: out = torch.cat((x0, x1, x2, x3), 1)
2025-03-21T20:22:32.5581537Z             aten_cat_default_18: "f32[1, 1536, 8, 8]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_relu_default_119, aten_cat_default_16, aten_cat_default_17, aten_relu_default_128], 1);  aten_relu_default_119 = aten_cat_default_16 = aten_cat_default_17 = aten_relu_default_128 = None
2025-03-21T20:22:32.5583168Z             
2025-03-21T20:22:32.5583989Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.5586011Z             aten_convolution_default_129: "f32[1, 256, 8, 8]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_cat_default_18, p_features_20_branch0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  p_features_20_branch0_conv_weight = None
2025-03-21T20:22:32.5587431Z             
2025-03-21T20:22:32.5588446Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.5591860Z             aten__native_batch_norm_legit_no_training_default_129 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_129, p_features_20_branch0_bn_weight, p_features_20_branch0_bn_bias, b_features_20_branch0_bn_running_mean, b_features_20_branch0_bn_running_var, 0.1, 0.001);  aten_convolution_default_129 = p_features_20_branch0_bn_weight = p_features_20_branch0_bn_bias = b_features_20_branch0_bn_running_mean = b_features_20_branch0_bn_running_var = None
2025-03-21T20:22:32.5595204Z             getitem_133: "f32[1, 256, 8, 8]" = aten__native_batch_norm_legit_no_training_default_129[0];  aten__native_batch_norm_legit_no_training_default_129 = None
2025-03-21T20:22:32.5596237Z             
2025-03-21T20:22:32.5597070Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.5598738Z             aten_relu_default_129: "f32[1, 256, 8, 8]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_133);  getitem_133 = None
2025-03-21T20:22:32.5599667Z             
2025-03-21T20:22:32.5600613Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.5602936Z             aten_convolution_default_130: "f32[1, 384, 8, 8]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_cat_default_18, p_features_20_branch1_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  p_features_20_branch1_0_conv_weight = None
2025-03-21T20:22:32.5604463Z             
2025-03-21T20:22:32.5605501Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.5608967Z             aten__native_batch_norm_legit_no_training_default_130 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_130, p_features_20_branch1_0_bn_weight, p_features_20_branch1_0_bn_bias, b_features_20_branch1_0_bn_running_mean, b_features_20_branch1_0_bn_running_var, 0.1, 0.001);  aten_convolution_default_130 = p_features_20_branch1_0_bn_weight = p_features_20_branch1_0_bn_bias = b_features_20_branch1_0_bn_running_mean = b_features_20_branch1_0_bn_running_var = None
2025-03-21T20:22:32.5612544Z             getitem_134: "f32[1, 384, 8, 8]" = aten__native_batch_norm_legit_no_training_default_130[0];  aten__native_batch_norm_legit_no_training_default_130 = None
2025-03-21T20:22:32.5613594Z             
2025-03-21T20:22:32.5614381Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.5615711Z             aten_relu_default_130: "f32[1, 384, 8, 8]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_134);  getitem_134 = None
2025-03-21T20:22:32.5616616Z             
2025-03-21T20:22:32.5617488Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.5619521Z             aten_convolution_default_131: "f32[1, 256, 8, 8]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_130, p_features_20_branch1_1a_conv_weight, None, [1, 1], [0, 1], [1, 1], False, [0, 0], 1);  p_features_20_branch1_1a_conv_weight = None
2025-03-21T20:22:32.5621122Z             
2025-03-21T20:22:32.5622019Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.5625823Z             aten__native_batch_norm_legit_no_training_default_131 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_131, p_features_20_branch1_1a_bn_weight, p_features_20_branch1_1a_bn_bias, b_features_20_branch1_1a_bn_running_mean, b_features_20_branch1_1a_bn_running_var, 0.1, 0.001);  aten_convolution_default_131 = p_features_20_branch1_1a_bn_weight = p_features_20_branch1_1a_bn_bias = b_features_20_branch1_1a_bn_running_mean = b_features_20_branch1_1a_bn_running_var = None
2025-03-21T20:22:32.5629499Z             getitem_135: "f32[1, 256, 8, 8]" = aten__native_batch_norm_legit_no_training_default_131[0];  aten__native_batch_norm_legit_no_training_default_131 = None
2025-03-21T20:22:32.5630527Z             
2025-03-21T20:22:32.5631439Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.5632839Z             aten_relu_default_131: "f32[1, 256, 8, 8]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_135);  getitem_135 = None
2025-03-21T20:22:32.5633779Z             
2025-03-21T20:22:32.5634591Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.5637087Z             aten_convolution_default_132: "f32[1, 256, 8, 8]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_130, p_features_20_branch1_1b_conv_weight, None, [1, 1], [1, 0], [1, 1], False, [0, 0], 1);  aten_relu_default_130 = p_features_20_branch1_1b_conv_weight = None
2025-03-21T20:22:32.5638711Z             
2025-03-21T20:22:32.5639631Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.5643537Z             aten__native_batch_norm_legit_no_training_default_132 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_132, p_features_20_branch1_1b_bn_weight, p_features_20_branch1_1b_bn_bias, b_features_20_branch1_1b_bn_running_mean, b_features_20_branch1_1b_bn_running_var, 0.1, 0.001);  aten_convolution_default_132 = p_features_20_branch1_1b_bn_weight = p_features_20_branch1_1b_bn_bias = b_features_20_branch1_1b_bn_running_mean = b_features_20_branch1_1b_bn_running_var = None
2025-03-21T20:22:32.5647238Z             getitem_136: "f32[1, 256, 8, 8]" = aten__native_batch_norm_legit_no_training_default_132[0];  aten__native_batch_norm_legit_no_training_default_132 = None
2025-03-21T20:22:32.5648624Z             
2025-03-21T20:22:32.5649539Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.5650867Z             aten_relu_default_132: "f32[1, 256, 8, 8]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_136);  getitem_136 = None
2025-03-21T20:22:32.5651793Z             
2025-03-21T20:22:32.5652877Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/inception_v4.py:204 in forward, code: x1 = torch.cat((x1_1a, x1_1b), 1)
2025-03-21T20:22:32.5654875Z             aten_cat_default_19: "f32[1, 512, 8, 8]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_relu_default_131, aten_relu_default_132], 1);  aten_relu_default_131 = aten_relu_default_132 = None
2025-03-21T20:22:32.5656261Z             
2025-03-21T20:22:32.5657259Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.5659350Z             aten_convolution_default_133: "f32[1, 384, 8, 8]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_cat_default_18, p_features_20_branch2_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  p_features_20_branch2_0_conv_weight = None
2025-03-21T20:22:32.5660924Z             
2025-03-21T20:22:32.5661896Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.5665473Z             aten__native_batch_norm_legit_no_training_default_133 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_133, p_features_20_branch2_0_bn_weight, p_features_20_branch2_0_bn_bias, b_features_20_branch2_0_bn_running_mean, b_features_20_branch2_0_bn_running_var, 0.1, 0.001);  aten_convolution_default_133 = p_features_20_branch2_0_bn_weight = p_features_20_branch2_0_bn_bias = b_features_20_branch2_0_bn_running_mean = b_features_20_branch2_0_bn_running_var = None
2025-03-21T20:22:32.5668878Z             getitem_137: "f32[1, 384, 8, 8]" = aten__native_batch_norm_legit_no_training_default_133[0];  aten__native_batch_norm_legit_no_training_default_133 = None
2025-03-21T20:22:32.5670115Z             
2025-03-21T20:22:32.5671087Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.5672488Z             aten_relu_default_133: "f32[1, 384, 8, 8]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_137);  getitem_137 = None
2025-03-21T20:22:32.5673828Z             
2025-03-21T20:22:32.5674784Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.5677414Z             aten_convolution_default_134: "f32[1, 448, 8, 8]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_133, p_features_20_branch2_1_conv_weight, None, [1, 1], [1, 0], [1, 1], False, [0, 0], 1);  aten_relu_default_133 = p_features_20_branch2_1_conv_weight = None
2025-03-21T20:22:32.5679250Z             
2025-03-21T20:22:32.5680264Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.5684115Z             aten__native_batch_norm_legit_no_training_default_134 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_134, p_features_20_branch2_1_bn_weight, p_features_20_branch2_1_bn_bias, b_features_20_branch2_1_bn_running_mean, b_features_20_branch2_1_bn_running_var, 0.1, 0.001);  aten_convolution_default_134 = p_features_20_branch2_1_bn_weight = p_features_20_branch2_1_bn_bias = b_features_20_branch2_1_bn_running_mean = b_features_20_branch2_1_bn_running_var = None
2025-03-21T20:22:32.5687969Z             getitem_138: "f32[1, 448, 8, 8]" = aten__native_batch_norm_legit_no_training_default_134[0];  aten__native_batch_norm_legit_no_training_default_134 = None
2025-03-21T20:22:32.5689168Z             
2025-03-21T20:22:32.5690137Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.5691676Z             aten_relu_default_134: "f32[1, 448, 8, 8]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_138);  getitem_138 = None
2025-03-21T20:22:32.5692509Z             
2025-03-21T20:22:32.5693446Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.5695816Z             aten_convolution_default_135: "f32[1, 512, 8, 8]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_134, p_features_20_branch2_2_conv_weight, None, [1, 1], [0, 1], [1, 1], False, [0, 0], 1);  aten_relu_default_134 = p_features_20_branch2_2_conv_weight = None
2025-03-21T20:22:32.5697391Z             
2025-03-21T20:22:32.5698518Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.5702191Z             aten__native_batch_norm_legit_no_training_default_135 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_135, p_features_20_branch2_2_bn_weight, p_features_20_branch2_2_bn_bias, b_features_20_branch2_2_bn_running_mean, b_features_20_branch2_2_bn_running_var, 0.1, 0.001);  aten_convolution_default_135 = p_features_20_branch2_2_bn_weight = p_features_20_branch2_2_bn_bias = b_features_20_branch2_2_bn_running_mean = b_features_20_branch2_2_bn_running_var = None
2025-03-21T20:22:32.5705769Z             getitem_139: "f32[1, 512, 8, 8]" = aten__native_batch_norm_legit_no_training_default_135[0];  aten__native_batch_norm_legit_no_training_default_135 = None
2025-03-21T20:22:32.5706695Z             
2025-03-21T20:22:32.5707545Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.5708917Z             aten_relu_default_135: "f32[1, 512, 8, 8]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_139);  getitem_139 = None
2025-03-21T20:22:32.5709780Z             
2025-03-21T20:22:32.5710752Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.5712741Z             aten_convolution_default_136: "f32[1, 256, 8, 8]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_135, p_features_20_branch2_3a_conv_weight, None, [1, 1], [0, 1], [1, 1], False, [0, 0], 1);  p_features_20_branch2_3a_conv_weight = None
2025-03-21T20:22:32.5714708Z             
2025-03-21T20:22:32.5715669Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.5718987Z             aten__native_batch_norm_legit_no_training_default_136 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_136, p_features_20_branch2_3a_bn_weight, p_features_20_branch2_3a_bn_bias, b_features_20_branch2_3a_bn_running_mean, b_features_20_branch2_3a_bn_running_var, 0.1, 0.001);  aten_convolution_default_136 = p_features_20_branch2_3a_bn_weight = p_features_20_branch2_3a_bn_bias = b_features_20_branch2_3a_bn_running_mean = b_features_20_branch2_3a_bn_running_var = None
2025-03-21T20:22:32.5722654Z             getitem_140: "f32[1, 256, 8, 8]" = aten__native_batch_norm_legit_no_training_default_136[0];  aten__native_batch_norm_legit_no_training_default_136 = None
2025-03-21T20:22:32.5723784Z             
2025-03-21T20:22:32.5724727Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.5726422Z             aten_relu_default_136: "f32[1, 256, 8, 8]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_140);  getitem_140 = None
2025-03-21T20:22:32.5727286Z             
2025-03-21T20:22:32.5728109Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.5730314Z             aten_convolution_default_137: "f32[1, 256, 8, 8]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_135, p_features_20_branch2_3b_conv_weight, None, [1, 1], [1, 0], [1, 1], False, [0, 0], 1);  aten_relu_default_135 = p_features_20_branch2_3b_conv_weight = None
2025-03-21T20:22:32.5731984Z             
2025-03-21T20:22:32.5732944Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.5736500Z             aten__native_batch_norm_legit_no_training_default_137 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_137, p_features_20_branch2_3b_bn_weight, p_features_20_branch2_3b_bn_bias, b_features_20_branch2_3b_bn_running_mean, b_features_20_branch2_3b_bn_running_var, 0.1, 0.001);  aten_convolution_default_137 = p_features_20_branch2_3b_bn_weight = p_features_20_branch2_3b_bn_bias = b_features_20_branch2_3b_bn_running_mean = b_features_20_branch2_3b_bn_running_var = None
2025-03-21T20:22:32.5740211Z             getitem_141: "f32[1, 256, 8, 8]" = aten__native_batch_norm_legit_no_training_default_137[0];  aten__native_batch_norm_legit_no_training_default_137 = None
2025-03-21T20:22:32.5741322Z             
2025-03-21T20:22:32.5742168Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.5743638Z             aten_relu_default_137: "f32[1, 256, 8, 8]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_141);  getitem_141 = None
2025-03-21T20:22:32.5744620Z             
2025-03-21T20:22:32.5745638Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/inception_v4.py:211 in forward, code: x2 = torch.cat((x2_3a, x2_3b), 1)
2025-03-21T20:22:32.5747413Z             aten_cat_default_20: "f32[1, 512, 8, 8]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_relu_default_136, aten_relu_default_137], 1);  aten_relu_default_136 = aten_relu_default_137 = None
2025-03-21T20:22:32.5748655Z             
2025-03-21T20:22:32.5749637Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/inception_v4.py:213 in forward, code: x3 = self.branch3(x)
2025-03-21T20:22:32.5751954Z             aten_avg_pool2d_default_12: "f32[1, 1536, 8, 8]" = executorch_exir_dialects_edge__ops_aten_avg_pool2d_default(aten_cat_default_18, [3, 3], [1, 1], [1, 1], False, False);  aten_cat_default_18 = None
2025-03-21T20:22:32.5753345Z             
2025-03-21T20:22:32.5754294Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.5756676Z             aten_convolution_default_138: "f32[1, 256, 8, 8]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_avg_pool2d_default_12, p_features_20_branch3_1_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_avg_pool2d_default_12 = p_features_20_branch3_1_conv_weight = None
2025-03-21T20:22:32.5758338Z             
2025-03-21T20:22:32.5759241Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.5762710Z             aten__native_batch_norm_legit_no_training_default_138 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_138, p_features_20_branch3_1_bn_weight, p_features_20_branch3_1_bn_bias, b_features_20_branch3_1_bn_running_mean, b_features_20_branch3_1_bn_running_var, 0.1, 0.001);  aten_convolution_default_138 = p_features_20_branch3_1_bn_weight = p_features_20_branch3_1_bn_bias = b_features_20_branch3_1_bn_running_mean = b_features_20_branch3_1_bn_running_var = None
2025-03-21T20:22:32.5766498Z             getitem_142: "f32[1, 256, 8, 8]" = aten__native_batch_norm_legit_no_training_default_138[0];  aten__native_batch_norm_legit_no_training_default_138 = None
2025-03-21T20:22:32.5767442Z             
2025-03-21T20:22:32.5768268Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.5769702Z             aten_relu_default_138: "f32[1, 256, 8, 8]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_142);  getitem_142 = None
2025-03-21T20:22:32.5770646Z             
2025-03-21T20:22:32.5771582Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/inception_v4.py:215 in forward, code: out = torch.cat((x0, x1, x2, x3), 1)
2025-03-21T20:22:32.5773019Z             aten_cat_default_21: "f32[1, 1536, 8, 8]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_relu_default_129, aten_cat_default_19, aten_cat_default_20, aten_relu_default_138], 1);  aten_relu_default_129 = aten_cat_default_19 = aten_cat_default_20 = aten_relu_default_138 = None
2025-03-21T20:22:32.5773160Z             
2025-03-21T20:22:32.5773890Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.5775052Z             aten_convolution_default_139: "f32[1, 256, 8, 8]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_cat_default_21, p_features_21_branch0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  p_features_21_branch0_conv_weight = None
2025-03-21T20:22:32.5775251Z             
2025-03-21T20:22:32.5775941Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.5778607Z             aten__native_batch_norm_legit_no_training_default_139 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_139, p_features_21_branch0_bn_weight, p_features_21_branch0_bn_bias, b_features_21_branch0_bn_running_mean, b_features_21_branch0_bn_running_var, 0.1, 0.001);  aten_convolution_default_139 = p_features_21_branch0_bn_weight = p_features_21_branch0_bn_bias = b_features_21_branch0_bn_running_mean = b_features_21_branch0_bn_running_var = None
2025-03-21T20:22:32.5779354Z             getitem_143: "f32[1, 256, 8, 8]" = aten__native_batch_norm_legit_no_training_default_139[0];  aten__native_batch_norm_legit_no_training_default_139 = None
2025-03-21T20:22:32.5779721Z             
2025-03-21T20:22:32.5780567Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.5781206Z             aten_relu_default_139: "f32[1, 256, 8, 8]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_143);  getitem_143 = None
2025-03-21T20:22:32.5781423Z             
2025-03-21T20:22:32.5782072Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.5783324Z             aten_convolution_default_140: "f32[1, 384, 8, 8]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_cat_default_21, p_features_21_branch1_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  p_features_21_branch1_0_conv_weight = None
2025-03-21T20:22:32.5783526Z             
2025-03-21T20:22:32.5784169Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.5787044Z             aten__native_batch_norm_legit_no_training_default_140 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_140, p_features_21_branch1_0_bn_weight, p_features_21_branch1_0_bn_bias, b_features_21_branch1_0_bn_running_mean, b_features_21_branch1_0_bn_running_var, 0.1, 0.001);  aten_convolution_default_140 = p_features_21_branch1_0_bn_weight = p_features_21_branch1_0_bn_bias = b_features_21_branch1_0_bn_running_mean = b_features_21_branch1_0_bn_running_var = None
2025-03-21T20:22:32.5787923Z             getitem_144: "f32[1, 384, 8, 8]" = aten__native_batch_norm_legit_no_training_default_140[0];  aten__native_batch_norm_legit_no_training_default_140 = None
2025-03-21T20:22:32.5788197Z             
2025-03-21T20:22:32.5788886Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.5789512Z             aten_relu_default_140: "f32[1, 384, 8, 8]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_144);  getitem_144 = None
2025-03-21T20:22:32.5789648Z             
2025-03-21T20:22:32.5790408Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.5791620Z             aten_convolution_default_141: "f32[1, 256, 8, 8]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_140, p_features_21_branch1_1a_conv_weight, None, [1, 1], [0, 1], [1, 1], False, [0, 0], 1);  p_features_21_branch1_1a_conv_weight = None
2025-03-21T20:22:32.5791763Z             
2025-03-21T20:22:32.5792478Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.5795043Z             aten__native_batch_norm_legit_no_training_default_141 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_141, p_features_21_branch1_1a_bn_weight, p_features_21_branch1_1a_bn_bias, b_features_21_branch1_1a_bn_running_mean, b_features_21_branch1_1a_bn_running_var, 0.1, 0.001);  aten_convolution_default_141 = p_features_21_branch1_1a_bn_weight = p_features_21_branch1_1a_bn_bias = b_features_21_branch1_1a_bn_running_mean = b_features_21_branch1_1a_bn_running_var = None
2025-03-21T20:22:32.5795882Z             getitem_145: "f32[1, 256, 8, 8]" = aten__native_batch_norm_legit_no_training_default_141[0];  aten__native_batch_norm_legit_no_training_default_141 = None
2025-03-21T20:22:32.5796087Z             
2025-03-21T20:22:32.5796755Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.5797421Z             aten_relu_default_141: "f32[1, 256, 8, 8]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_145);  getitem_145 = None
2025-03-21T20:22:32.5797682Z             
2025-03-21T20:22:32.5798516Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.5800016Z             aten_convolution_default_142: "f32[1, 256, 8, 8]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_140, p_features_21_branch1_1b_conv_weight, None, [1, 1], [1, 0], [1, 1], False, [0, 0], 1);  aten_relu_default_140 = p_features_21_branch1_1b_conv_weight = None
2025-03-21T20:22:32.5800159Z             
2025-03-21T20:22:32.5800977Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.5803753Z             aten__native_batch_norm_legit_no_training_default_142 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_142, p_features_21_branch1_1b_bn_weight, p_features_21_branch1_1b_bn_bias, b_features_21_branch1_1b_bn_running_mean, b_features_21_branch1_1b_bn_running_var, 0.1, 0.001);  aten_convolution_default_142 = p_features_21_branch1_1b_bn_weight = p_features_21_branch1_1b_bn_bias = b_features_21_branch1_1b_bn_running_mean = b_features_21_branch1_1b_bn_running_var = None
2025-03-21T20:22:32.5804634Z             getitem_146: "f32[1, 256, 8, 8]" = aten__native_batch_norm_legit_no_training_default_142[0];  aten__native_batch_norm_legit_no_training_default_142 = None
2025-03-21T20:22:32.5804826Z             
2025-03-21T20:22:32.5805507Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.5806202Z             aten_relu_default_142: "f32[1, 256, 8, 8]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_146);  getitem_146 = None
2025-03-21T20:22:32.5806417Z             
2025-03-21T20:22:32.5807162Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/inception_v4.py:204 in forward, code: x1 = torch.cat((x1_1a, x1_1b), 1)
2025-03-21T20:22:32.5808156Z             aten_cat_default_22: "f32[1, 512, 8, 8]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_relu_default_141, aten_relu_default_142], 1);  aten_relu_default_141 = aten_relu_default_142 = None
2025-03-21T20:22:32.5808378Z             
2025-03-21T20:22:32.5809018Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.5810140Z             aten_convolution_default_143: "f32[1, 384, 8, 8]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_cat_default_21, p_features_21_branch2_0_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  p_features_21_branch2_0_conv_weight = None
2025-03-21T20:22:32.5810285Z             
2025-03-21T20:22:32.5811050Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.5813622Z             aten__native_batch_norm_legit_no_training_default_143 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_143, p_features_21_branch2_0_bn_weight, p_features_21_branch2_0_bn_bias, b_features_21_branch2_0_bn_running_mean, b_features_21_branch2_0_bn_running_var, 0.1, 0.001);  aten_convolution_default_143 = p_features_21_branch2_0_bn_weight = p_features_21_branch2_0_bn_bias = b_features_21_branch2_0_bn_running_mean = b_features_21_branch2_0_bn_running_var = None
2025-03-21T20:22:32.5814340Z             getitem_147: "f32[1, 384, 8, 8]" = aten__native_batch_norm_legit_no_training_default_143[0];  aten__native_batch_norm_legit_no_training_default_143 = None
2025-03-21T20:22:32.5814475Z             
2025-03-21T20:22:32.5815146Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.5815821Z             aten_relu_default_143: "f32[1, 384, 8, 8]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_147);  getitem_147 = None
2025-03-21T20:22:32.5816079Z             
2025-03-21T20:22:32.5816736Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.5817967Z             aten_convolution_default_144: "f32[1, 448, 8, 8]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_143, p_features_21_branch2_1_conv_weight, None, [1, 1], [1, 0], [1, 1], False, [0, 0], 1);  aten_relu_default_143 = p_features_21_branch2_1_conv_weight = None
2025-03-21T20:22:32.5818098Z             
2025-03-21T20:22:32.5818780Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.5821265Z             aten__native_batch_norm_legit_no_training_default_144 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_144, p_features_21_branch2_1_bn_weight, p_features_21_branch2_1_bn_bias, b_features_21_branch2_1_bn_running_mean, b_features_21_branch2_1_bn_running_var, 0.1, 0.001);  aten_convolution_default_144 = p_features_21_branch2_1_bn_weight = p_features_21_branch2_1_bn_bias = b_features_21_branch2_1_bn_running_mean = b_features_21_branch2_1_bn_running_var = None
2025-03-21T20:22:32.5822034Z             getitem_148: "f32[1, 448, 8, 8]" = aten__native_batch_norm_legit_no_training_default_144[0];  aten__native_batch_norm_legit_no_training_default_144 = None
2025-03-21T20:22:32.5822226Z             
2025-03-21T20:22:32.5822932Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.5823575Z             aten_relu_default_144: "f32[1, 448, 8, 8]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_148);  getitem_148 = None
2025-03-21T20:22:32.5823713Z             
2025-03-21T20:22:32.5824528Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.5825838Z             aten_convolution_default_145: "f32[1, 512, 8, 8]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_144, p_features_21_branch2_2_conv_weight, None, [1, 1], [0, 1], [1, 1], False, [0, 0], 1);  aten_relu_default_144 = p_features_21_branch2_2_conv_weight = None
2025-03-21T20:22:32.5825979Z             
2025-03-21T20:22:32.5826708Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.5829354Z             aten__native_batch_norm_legit_no_training_default_145 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_145, p_features_21_branch2_2_bn_weight, p_features_21_branch2_2_bn_bias, b_features_21_branch2_2_bn_running_mean, b_features_21_branch2_2_bn_running_var, 0.1, 0.001);  aten_convolution_default_145 = p_features_21_branch2_2_bn_weight = p_features_21_branch2_2_bn_bias = b_features_21_branch2_2_bn_running_mean = b_features_21_branch2_2_bn_running_var = None
2025-03-21T20:22:32.5830122Z             getitem_149: "f32[1, 512, 8, 8]" = aten__native_batch_norm_legit_no_training_default_145[0];  aten__native_batch_norm_legit_no_training_default_145 = None
2025-03-21T20:22:32.5830311Z             
2025-03-21T20:22:32.5831024Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.5831740Z             aten_relu_default_145: "f32[1, 512, 8, 8]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_149);  getitem_149 = None
2025-03-21T20:22:32.5831935Z             
2025-03-21T20:22:32.5832801Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.5834031Z             aten_convolution_default_146: "f32[1, 256, 8, 8]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_145, p_features_21_branch2_3a_conv_weight, None, [1, 1], [0, 1], [1, 1], False, [0, 0], 1);  p_features_21_branch2_3a_conv_weight = None
2025-03-21T20:22:32.5834191Z             
2025-03-21T20:22:32.5835006Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.5837748Z             aten__native_batch_norm_legit_no_training_default_146 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_146, p_features_21_branch2_3a_bn_weight, p_features_21_branch2_3a_bn_bias, b_features_21_branch2_3a_bn_running_mean, b_features_21_branch2_3a_bn_running_var, 0.1, 0.001);  aten_convolution_default_146 = p_features_21_branch2_3a_bn_weight = p_features_21_branch2_3a_bn_bias = b_features_21_branch2_3a_bn_running_mean = b_features_21_branch2_3a_bn_running_var = None
2025-03-21T20:22:32.5838500Z             getitem_150: "f32[1, 256, 8, 8]" = aten__native_batch_norm_legit_no_training_default_146[0];  aten__native_batch_norm_legit_no_training_default_146 = None
2025-03-21T20:22:32.5838771Z             
2025-03-21T20:22:32.5839478Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.5840292Z             aten_relu_default_146: "f32[1, 256, 8, 8]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_150);  getitem_150 = None
2025-03-21T20:22:32.5840497Z             
2025-03-21T20:22:32.5841337Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.5842744Z             aten_convolution_default_147: "f32[1, 256, 8, 8]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_relu_default_145, p_features_21_branch2_3b_conv_weight, None, [1, 1], [1, 0], [1, 1], False, [0, 0], 1);  aten_relu_default_145 = p_features_21_branch2_3b_conv_weight = None
2025-03-21T20:22:32.5842934Z             
2025-03-21T20:22:32.5843699Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.5846542Z             aten__native_batch_norm_legit_no_training_default_147 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_147, p_features_21_branch2_3b_bn_weight, p_features_21_branch2_3b_bn_bias, b_features_21_branch2_3b_bn_running_mean, b_features_21_branch2_3b_bn_running_var, 0.1, 0.001);  aten_convolution_default_147 = p_features_21_branch2_3b_bn_weight = p_features_21_branch2_3b_bn_bias = b_features_21_branch2_3b_bn_running_mean = b_features_21_branch2_3b_bn_running_var = None
2025-03-21T20:22:32.5847317Z             getitem_151: "f32[1, 256, 8, 8]" = aten__native_batch_norm_legit_no_training_default_147[0];  aten__native_batch_norm_legit_no_training_default_147 = None
2025-03-21T20:22:32.5847533Z             
2025-03-21T20:22:32.5848249Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.5848889Z             aten_relu_default_147: "f32[1, 256, 8, 8]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_151);  getitem_151 = None
2025-03-21T20:22:32.5849031Z             
2025-03-21T20:22:32.5849759Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/inception_v4.py:211 in forward, code: x2 = torch.cat((x2_3a, x2_3b), 1)
2025-03-21T20:22:32.5850729Z             aten_cat_default_23: "f32[1, 512, 8, 8]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_relu_default_146, aten_relu_default_147], 1);  aten_relu_default_146 = aten_relu_default_147 = None
2025-03-21T20:22:32.5851192Z             
2025-03-21T20:22:32.5852075Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/inception_v4.py:213 in forward, code: x3 = self.branch3(x)
2025-03-21T20:22:32.5852942Z             aten_avg_pool2d_default_13: "f32[1, 1536, 8, 8]" = executorch_exir_dialects_edge__ops_aten_avg_pool2d_default(aten_cat_default_21, [3, 3], [1, 1], [1, 1], False, False);  aten_cat_default_21 = None
2025-03-21T20:22:32.5853083Z             
2025-03-21T20:22:32.5853736Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/conv_bn_act.py:83 in forward, code: x = self.conv(x)
2025-03-21T20:22:32.5855063Z             aten_convolution_default_148: "f32[1, 256, 8, 8]" = executorch_exir_dialects_edge__ops_aten_convolution_default(aten_avg_pool2d_default_13, p_features_21_branch3_1_conv_weight, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1);  aten_avg_pool2d_default_13 = p_features_21_branch3_1_conv_weight = None
2025-03-21T20:22:32.5855211Z             
2025-03-21T20:22:32.5855950Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:115 in forward, code: x = F.batch_norm(
2025-03-21T20:22:32.5858654Z             aten__native_batch_norm_legit_no_training_default_148 = executorch_exir_dialects_edge__ops_aten__native_batch_norm_legit_no_training_default(aten_convolution_default_148, p_features_21_branch3_1_bn_weight, p_features_21_branch3_1_bn_bias, b_features_21_branch3_1_bn_running_mean, b_features_21_branch3_1_bn_running_var, 0.1, 0.001);  aten_convolution_default_148 = p_features_21_branch3_1_bn_weight = p_features_21_branch3_1_bn_bias = b_features_21_branch3_1_bn_running_mean = b_features_21_branch3_1_bn_running_var = None
2025-03-21T20:22:32.5859550Z             getitem_152: "f32[1, 256, 8, 8]" = aten__native_batch_norm_legit_no_training_default_148[0];  aten__native_batch_norm_legit_no_training_default_148 = None
2025-03-21T20:22:32.5859697Z             
2025-03-21T20:22:32.5860370Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/norm_act.py:127 in forward, code: x = self.act(x)
2025-03-21T20:22:32.5860943Z             aten_relu_default_148: "f32[1, 256, 8, 8]" = executorch_exir_dialects_edge__ops_aten_relu_default(getitem_152);  getitem_152 = None
2025-03-21T20:22:32.5861082Z             
2025-03-21T20:22:32.5861840Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/inception_v4.py:215 in forward, code: out = torch.cat((x0, x1, x2, x3), 1)
2025-03-21T20:22:32.5863261Z             aten_cat_default_24: "f32[1, 1536, 8, 8]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_relu_default_139, aten_cat_default_22, aten_cat_default_23, aten_relu_default_148], 1);  aten_relu_default_139 = aten_cat_default_22 = aten_cat_default_23 = aten_relu_default_148 = None
2025-03-21T20:22:32.5863404Z             
2025-03-21T20:22:32.5864193Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/adaptive_avgmax_pool.py:172 in forward, code: x = self.pool(x)
2025-03-21T20:22:32.5864925Z             aten_mean_dim: "f32[1, 1536, 1, 1]" = executorch_exir_dialects_edge__ops_aten_mean_dim(aten_cat_default_24, [-1, -2], True);  aten_cat_default_24 = None
2025-03-21T20:22:32.5865123Z             
2025-03-21T20:22:32.5865843Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/layers/adaptive_avgmax_pool.py:173 in forward, code: x = self.flatten(x)
2025-03-21T20:22:32.5866514Z             aten_view_copy_default: "f32[1, 1536]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_mean_dim, [1, 1536]);  aten_mean_dim = None
2025-03-21T20:22:32.5866646Z             
2025-03-21T20:22:32.5867421Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/inception_v4.py:293 in forward_head, code: x = self.head_drop(x)
2025-03-21T20:22:32.5868098Z             aten_clone_default: "f32[1, 1536]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default);  aten_view_copy_default = None
2025-03-21T20:22:32.5868406Z             
2025-03-21T20:22:32.5869423Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/timm/models/inception_v4.py:294 in forward_head, code: return x if pre_logits else self.last_linear(x)
2025-03-21T20:22:32.5870365Z             aten_permute_copy_default: "f32[1536, 1000]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_last_linear_weight, [1, 0]);  p_last_linear_weight = None
2025-03-21T20:22:32.5871597Z             aten_addmm_default: "f32[1, 1000]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_last_linear_bias, aten_clone_default, aten_permute_copy_default);  p_last_linear_bias = aten_clone_default = aten_permute_copy_default = None
2025-03-21T20:22:32.5871826Z             return (aten_addmm_default,)
2025-03-21T20:22:32.5871962Z             
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target='features.17.branch2.1.bn.running_mean', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_17_branch2_1_bn_running_var'), target='features.17.branch2.1.bn.running_var', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_17_branch2_2_bn_running_mean'), target='features.17.branch2.2.bn.running_mean', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_17_branch2_2_bn_running_var'), target='features.17.branch2.2.bn.running_var', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_17_branch2_3_bn_running_mean'), target='features.17.branch2.3.bn.running_mean', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_17_branch2_3_bn_running_var'), target='features.17.branch2.3.bn.running_var', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_17_branch2_4_bn_running_mean'), target='features.17.branch2.4.bn.running_mean', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_17_branch2_4_bn_running_var'), target='features.17.branch2.4.bn.running_var', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_17_branch3_1_bn_running_mean'), target='features.17.branch3.1.bn.running_mean', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_17_branch3_1_bn_running_var'), target='features.17.branch3.1.bn.running_var', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_18_branch0_0_bn_running_mean'), target='features.18.branch0.0.bn.running_mean', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_18_branch0_0_bn_running_var'), target='features.18.branch0.0.bn.running_var', persistent=True), 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target='features.18.branch1.1.bn.running_var', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_18_branch1_2_bn_running_mean'), target='features.18.branch1.2.bn.running_mean', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_18_branch1_2_bn_running_var'), target='features.18.branch1.2.bn.running_var', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_18_branch1_3_bn_running_mean'), target='features.18.branch1.3.bn.running_mean', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_18_branch1_3_bn_running_var'), target='features.18.branch1.3.bn.running_var', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_19_branch0_bn_running_mean'), target='features.19.branch0.bn.running_mean', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_19_branch0_bn_running_var'), target='features.19.branch0.bn.running_var', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_19_branch1_0_bn_running_mean'), target='features.19.branch1_0.bn.running_mean', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_19_branch1_0_bn_running_var'), target='features.19.branch1_0.bn.running_var', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_19_branch1_1a_bn_running_mean'), target='features.19.branch1_1a.bn.running_mean', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_19_branch1_1a_bn_running_var'), target='features.19.branch1_1a.bn.running_var', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_19_branch1_1b_bn_running_mean'), target='features.19.branch1_1b.bn.running_mean', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_19_branch1_1b_bn_running_var'), target='features.19.branch1_1b.bn.running_var', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_19_branch2_0_bn_running_mean'), target='features.19.branch2_0.bn.running_mean', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_19_branch2_0_bn_running_var'), target='features.19.branch2_0.bn.running_var', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_19_branch2_1_bn_running_mean'), target='features.19.branch2_1.bn.running_mean', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_19_branch2_1_bn_running_var'), target='features.19.branch2_1.bn.running_var', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_19_branch2_2_bn_running_mean'), target='features.19.branch2_2.bn.running_mean', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_19_branch2_2_bn_running_var'), target='features.19.branch2_2.bn.running_var', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_19_branch2_3a_bn_running_mean'), target='features.19.branch2_3a.bn.running_mean', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_19_branch2_3a_bn_running_var'), target='features.19.branch2_3a.bn.running_var', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_19_branch2_3b_bn_running_mean'), target='features.19.branch2_3b.bn.running_mean', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_19_branch2_3b_bn_running_var'), target='features.19.branch2_3b.bn.running_var', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_19_branch3_1_bn_running_mean'), target='features.19.branch3.1.bn.running_mean', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_19_branch3_1_bn_running_var'), target='features.19.branch3.1.bn.running_var', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_20_branch0_bn_running_mean'), target='features.20.branch0.bn.running_mean', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_20_branch0_bn_running_var'), target='features.20.branch0.bn.running_var', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_20_branch1_0_bn_running_mean'), target='features.20.branch1_0.bn.running_mean', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_20_branch1_0_bn_running_var'), target='features.20.branch1_0.bn.running_var', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_20_branch1_1a_bn_running_mean'), target='features.20.branch1_1a.bn.running_mean', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_20_branch1_1a_bn_running_var'), target='features.20.branch1_1a.bn.running_var', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_20_branch1_1b_bn_running_mean'), target='features.20.branch1_1b.bn.running_mean', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_20_branch1_1b_bn_running_var'), target='features.20.branch1_1b.bn.running_var', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_20_branch2_0_bn_running_mean'), target='features.20.branch2_0.bn.running_mean', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_20_branch2_0_bn_running_var'), target='features.20.branch2_0.bn.running_var', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_20_branch2_1_bn_running_mean'), target='features.20.branch2_1.bn.running_mean', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_20_branch2_1_bn_running_var'), target='features.20.branch2_1.bn.running_var', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_20_branch2_2_bn_running_mean'), target='features.20.branch2_2.bn.running_mean', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_20_branch2_2_bn_running_var'), target='features.20.branch2_2.bn.running_var', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_20_branch2_3a_bn_running_mean'), target='features.20.branch2_3a.bn.running_mean', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_20_branch2_3a_bn_running_var'), target='features.20.branch2_3a.bn.running_var', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_20_branch2_3b_bn_running_mean'), target='features.20.branch2_3b.bn.running_mean', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_20_branch2_3b_bn_running_var'), target='features.20.branch2_3b.bn.running_var', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_20_branch3_1_bn_running_mean'), target='features.20.branch3.1.bn.running_mean', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_20_branch3_1_bn_running_var'), target='features.20.branch3.1.bn.running_var', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_21_branch0_bn_running_mean'), target='features.21.branch0.bn.running_mean', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_21_branch0_bn_running_var'), target='features.21.branch0.bn.running_var', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_21_branch1_0_bn_running_mean'), target='features.21.branch1_0.bn.running_mean', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_21_branch1_0_bn_running_var'), target='features.21.branch1_0.bn.running_var', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_21_branch1_1a_bn_running_mean'), target='features.21.branch1_1a.bn.running_mean', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_21_branch1_1a_bn_running_var'), target='features.21.branch1_1a.bn.running_var', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_21_branch1_1b_bn_running_mean'), target='features.21.branch1_1b.bn.running_mean', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_21_branch1_1b_bn_running_var'), target='features.21.branch1_1b.bn.running_var', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_21_branch2_0_bn_running_mean'), target='features.21.branch2_0.bn.running_mean', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_21_branch2_0_bn_running_var'), target='features.21.branch2_0.bn.running_var', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_21_branch2_1_bn_running_mean'), target='features.21.branch2_1.bn.running_mean', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_21_branch2_1_bn_running_var'), target='features.21.branch2_1.bn.running_var', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_21_branch2_2_bn_running_mean'), target='features.21.branch2_2.bn.running_mean', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_21_branch2_2_bn_running_var'), target='features.21.branch2_2.bn.running_var', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_21_branch2_3a_bn_running_mean'), target='features.21.branch2_3a.bn.running_mean', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_21_branch2_3a_bn_running_var'), target='features.21.branch2_3a.bn.running_var', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_21_branch2_3b_bn_running_mean'), target='features.21.branch2_3b.bn.running_mean', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_21_branch2_3b_bn_running_var'), target='features.21.branch2_3b.bn.running_var', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_21_branch3_1_bn_running_mean'), target='features.21.branch3.1.bn.running_mean', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='b_features_21_branch3_1_bn_running_var'), target='features.21.branch3.1.bn.running_var', persistent=True), InputSpec(kind=<InputKind.USER_INPUT: 1>, arg=TensorArgument(name='x'), target=None, persistent=None)], output_specs=[OutputSpec(kind=<OutputKind.USER_OUTPUT: 1>, arg=TensorArgument(name='aten_addmm_default'), target=None)])
2025-03-21T20:22:55.9905028Z Range constraints: {}
2025-03-21T20:22:55.9905405Z 
2025-03-21T20:22:55.9905739Z [INFO 2025-03-21 20:22:48,934 utils.py:141] Saved exported program to ./ic4.pte
2025-03-21T20:22:55.9906385Z + run_portable_executor_runner
2025-03-21T20:22:55.9906797Z + [[ cmake == \b\u\c\k\2 ]]
2025-03-21T20:22:55.9907198Z + [[ cmake == \c\m\a\k\e ]]
2025-03-21T20:22:55.9907595Z + build_cmake_executor_runner
2025-03-21T20:22:55.9908023Z + echo 'Building executor_runner'
2025-03-21T20:22:55.9908462Z Building executor_runner
2025-03-21T20:22:55.9908892Z + rm -rf cmake-out
2025-03-21T20:22:55.9909660Z + cmake -DCMAKE_BUILD_TYPE=Debug -DEXECUTORCH_BUILD_KERNELS_OPTIMIZED=ON -DPYTHON_EXECUTABLE=python -Bcmake-out .
2025-03-21T20:22:55.9910556Z -- The C compiler identification is GNU 11.4.0
2025-03-21T20:22:55.9911116Z -- The CXX compiler identification is GNU 11.4.0
2025-03-21T20:22:55.9911639Z -- Detecting C compiler ABI info
2025-03-21T20:22:55.9912103Z -- Detecting C compiler ABI info - done
2025-03-21T20:22:55.9912668Z -- Check for working C compiler: /opt/cache/bin/cc - skipped
2025-03-21T20:22:55.9913223Z -- Detecting C compile features
2025-03-21T20:22:55.9913787Z -- Detecting C compile features - done
2025-03-21T20:22:55.9914267Z -- Detecting CXX compiler ABI info
2025-03-21T20:22:55.9914737Z -- Detecting CXX compiler ABI info - done
2025-03-21T20:22:55.9915401Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped
2025-03-21T20:22:55.9916060Z -- Detecting CXX compile features
2025-03-21T20:22:55.9916678Z -- Detecting CXX compile features - done
2025-03-21T20:22:55.9917923Z CMake Deprecation Warning at backends/xnnpack/third-party/FXdiv/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2025-03-21T20:22:55.9918978Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:22:55.9919586Z   CMake.
2025-03-21T20:22:55.9919763Z 
2025-03-21T20:22:55.9920101Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:22:55.9920893Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:22:55.9921689Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:22:55.9922065Z 
2025-03-21T20:22:55.9922253Z 
2025-03-21T20:22:55.9923174Z CMake Deprecation Warning at backends/xnnpack/third-party/cpuinfo/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2025-03-21T20:22:55.9924317Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:22:55.9924920Z   CMake.
2025-03-21T20:22:55.9925422Z 
2025-03-21T20:22:55.9925831Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:22:55.9926650Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:22:55.9927628Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:22:55.9928032Z 
2025-03-21T20:22:55.9928323Z 
2025-03-21T20:22:55.9928785Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD
2025-03-21T20:22:55.9929343Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success
2025-03-21T20:22:55.9929862Z -- Found Threads: TRUE
2025-03-21T20:22:55.9930840Z CMake Deprecation Warning at backends/xnnpack/third-party/pthreadpool/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2025-03-21T20:22:55.9931928Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:22:55.9932540Z   CMake.
2025-03-21T20:22:55.9932710Z 
2025-03-21T20:22:55.9933046Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:22:55.9933855Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:22:55.9934650Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:22:55.9935028Z 
2025-03-21T20:22:55.9935214Z 
2025-03-21T20:22:55.9935616Z -- Using python executable 'python'
2025-03-21T20:22:55.9936586Z -- Resolved buck2 as /pytorch/executorch/buck2-bin/buck2-5d7af382acbe0dde70f0e9b0a0bc36deea906077ec1ffe80d3fa280490109051.
2025-03-21T20:22:55.9937735Z -- Killing buck2 daemon
2025-03-21T20:22:55.9938736Z '/pytorch/executorch/buck2-bin/buck2-5d7af382acbe0dde70f0e9b0a0bc36deea906077ec1ffe80d3fa280490109051 killall'
2025-03-21T20:22:55.9940712Z -- executorch: Generating source lists
2025-03-21T20:22:55.9941661Z -- executorch: Generating source file list /pytorch/executorch/cmake-out/executorch_srcs.cmake
2025-03-21T20:22:55.9942692Z -- executorch: Using sources file /pytorch/executorch/cmake-out/executorch_srcs.cmake
2025-03-21T20:22:55.9943525Z -- executorch: Using PAL default 'posix'
2025-03-21T20:22:55.9944010Z -- Generating operator lib:
2025-03-21T20:22:55.9944427Z --   LIB_NAME: portable_ops_lib
2025-03-21T20:22:55.9945086Z --   OPS_SCHEMA_YAML: /pytorch/executorch/kernels/portable/functions.yaml
2025-03-21T20:22:55.9945691Z --   ROOT_OPS: 
2025-03-21T20:22:55.9946047Z --   INCLUDE_ALL_OPS: 
2025-03-21T20:22:55.9948047Z 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"
2025-03-21T20:22:55.9949815Z -- Generating kernel bindings:
2025-03-21T20:22:55.9950320Z --   LIB_NAME: portable_ops_lib
2025-03-21T20:22:55.9951032Z --   FUNCTIONS_YAML: /pytorch/executorch/kernels/portable/functions.yaml
2025-03-21T20:22:55.9951711Z --   CUSTOM_OPS_YAML: 
2025-03-21T20:22:55.9952178Z --   ADD_EXCEPTION_BOUNDARY: FALSE
2025-03-21T20:22:55.9954840Z 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
2025-03-21T20:22:55.9957096Z -- Generating operator lib:
2025-03-21T20:22:55.9957536Z --   LIB_NAME: portable_ops_lib
2025-03-21T20:22:55.9958062Z --   KERNEL_LIBS: portable_kernels
2025-03-21T20:22:55.9958605Z --   DEPS: executorch
2025-03-21T20:22:55.9959422Z 'python' '-c' 'import importlib.util; print(importlib.util.find_spec('torch').submodule_search_locations[0])'
2025-03-21T20:22:55.9960334Z -- Generating operator lib:
2025-03-21T20:22:55.9960757Z --   LIB_NAME: optimized_ops_lib
2025-03-21T20:22:55.9961515Z --   OPS_SCHEMA_YAML: /pytorch/executorch/kernels/optimized/optimized.yaml
2025-03-21T20:22:55.9962128Z --   ROOT_OPS: 
2025-03-21T20:22:55.9962484Z --   INCLUDE_ALL_OPS: 
2025-03-21T20:22:55.9964500Z 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"
2025-03-21T20:22:55.9966607Z -- Generating kernel bindings:
2025-03-21T20:22:55.9967094Z --   LIB_NAME: optimized_ops_lib
2025-03-21T20:22:55.9968045Z --   FUNCTIONS_YAML: /pytorch/executorch/kernels/optimized/optimized.yaml
2025-03-21T20:22:55.9968751Z --   CUSTOM_OPS_YAML: 
2025-03-21T20:22:55.9969197Z --   ADD_EXCEPTION_BOUNDARY: TRUE
2025-03-21T20:22:55.9971865Z 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
2025-03-21T20:22:55.9974124Z -- Generating operator lib:
2025-03-21T20:22:55.9974591Z --   LIB_NAME: optimized_ops_lib
2025-03-21T20:22:55.9975079Z --   KERNEL_LIBS: optimized_kernels
2025-03-21T20:22:55.9975583Z --   DEPS: executorch
2025-03-21T20:22:55.9976081Z -- Merging kernel yaml files:
2025-03-21T20:22:55.9976851Z --   FUNCTIONS_YAML: /pytorch/executorch/configurations/../kernels/optimized/optimized.yaml
2025-03-21T20:22:55.9977943Z --   FALLBACK_YAML: /pytorch/executorch/configurations/../kernels/portable/functions.yaml
2025-03-21T20:22:55.9978889Z --   OUTPUT_DIR: /pytorch/executorch/cmake-out/configurations
2025-03-21T20:22:55.9979661Z -- Generating operator lib:
2025-03-21T20:22:55.9980286Z --   LIB_NAME: optimized_native_cpu_ops_lib
2025-03-21T20:22:55.9980956Z --   OPS_SCHEMA_YAML: /pytorch/executorch/cmake-out/configurations/merged.yaml
2025-03-21T20:22:55.9981695Z --   ROOT_OPS: 
2025-03-21T20:22:55.9982041Z --   INCLUDE_ALL_OPS: 
2025-03-21T20:22:55.9984007Z 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"
2025-03-21T20:22:55.9985669Z -- Generating kernel bindings:
2025-03-21T20:22:55.9986106Z --   LIB_NAME: optimized_native_cpu_ops_lib
2025-03-21T20:22:55.9986827Z --   FUNCTIONS_YAML: /pytorch/executorch/cmake-out/configurations/merged.yaml
2025-03-21T20:22:55.9987488Z --   CUSTOM_OPS_YAML: 
2025-03-21T20:22:55.9987876Z --   ADD_EXCEPTION_BOUNDARY: TRUE
2025-03-21T20:22:55.9990585Z 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
2025-03-21T20:22:55.9993257Z -- Generating operator lib:
2025-03-21T20:22:55.9993693Z --   LIB_NAME: optimized_native_cpu_ops_lib
2025-03-21T20:22:55.9994269Z --   KERNEL_LIBS: optimized_kernels;optimized_portable_kernels
2025-03-21T20:22:55.9994821Z --   DEPS: executorch
2025-03-21T20:22:55.9995622Z CMake Deprecation Warning at third-party/gflags/CMakeLists.txt:73 (cmake_minimum_required):
2025-03-21T20:22:55.9996698Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:22:55.9997300Z   CMake.
2025-03-21T20:22:55.9997480Z 
2025-03-21T20:22:55.9997818Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:22:55.9998704Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:22:55.9999415Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:22:55.9999788Z 
2025-03-21T20:22:56.0000032Z 
2025-03-21T20:22:56.0000365Z -- Looking for C++ include unistd.h
2025-03-21T20:22:56.0000950Z -- Looking for C++ include unistd.h - found
2025-03-21T20:22:56.0001433Z -- Looking for C++ include stdint.h
2025-03-21T20:22:56.0001894Z -- Looking for C++ include stdint.h - found
2025-03-21T20:22:56.0002383Z -- Looking for C++ include inttypes.h
2025-03-21T20:22:56.0002874Z -- Looking for C++ include inttypes.h - found
2025-03-21T20:22:56.0003672Z -- Looking for C++ include sys/types.h
2025-03-21T20:22:56.0004359Z -- Looking for C++ include sys/types.h - found
2025-03-21T20:22:56.0004874Z -- Looking for C++ include sys/stat.h
2025-03-21T20:22:56.0005501Z -- Looking for C++ include sys/stat.h - found
2025-03-21T20:22:56.0006152Z -- Looking for C++ include fnmatch.h
2025-03-21T20:22:56.0006637Z -- Looking for C++ include fnmatch.h - found
2025-03-21T20:22:56.0007127Z -- Looking for C++ include stddef.h
2025-03-21T20:22:56.0007644Z -- Looking for C++ include stddef.h - found
2025-03-21T20:22:56.0008287Z -- Check size of uint32_t
2025-03-21T20:22:56.0008749Z -- Check size of uint32_t - done
2025-03-21T20:22:56.0009158Z -- Looking for strtoll
2025-03-21T20:22:56.0009546Z -- Looking for strtoll - found
2025-03-21T20:22:56.0009943Z -- 
2025-03-21T20:22:56.0010259Z -- ******** Summary ********
2025-03-21T20:22:56.0010668Z --   CMAKE_BUILD_TYPE              : Debug
2025-03-21T20:22:56.0011139Z --   CMAKE_CXX_STANDARD            : 17
2025-03-21T20:22:56.0011735Z --   CMAKE_CXX_COMPILER_ID         : GNU
2025-03-21T20:22:56.0012204Z --   CMAKE_TOOLCHAIN_FILE          : 
2025-03-21T20:22:56.0013132Z --   BUCK2                         : /pytorch/executorch/buck2-bin/buck2-5d7af382acbe0dde70f0e9b0a0bc36deea906077ec1ffe80d3fa280490109051
2025-03-21T20:22:56.0014079Z --   PYTHON_EXECUTABLE             : python
2025-03-21T20:22:56.0014929Z --   FLATC_EXECUTABLE              : /pytorch/executorch/cmake-out/third-party/flatbuffers/flatc
2025-03-21T20:22:56.0015664Z --   EXECUTORCH_ENABLE_LOGGING              : ON
2025-03-21T20:22:56.0016293Z --   EXECUTORCH_ENABLE_PROGRAM_VERIFICATION : ON
2025-03-21T20:22:56.0016828Z --   EXECUTORCH_LOG_LEVEL                   : Info
2025-03-21T20:22:56.0017356Z --   EXECUTORCH_BUILD_ANDROID_JNI           : OFF
2025-03-21T20:22:57.8029267Z --   EXECUTORCH_BUILD_ARM_BAREMETAL         : OFF
2025-03-21T20:22:57.8029897Z --   EXECUTORCH_BUILD_CADENCE               : OFF
2025-03-21T20:22:57.8030492Z --   EXECUTORCH_BUILD_COREML                : OFF
2025-03-21T20:22:57.8031050Z --   EXECUTORCH_BUILD_CPUINFO               : ON
2025-03-21T20:22:57.8031568Z --   EXECUTORCH_BUILD_DEVTOOLS              : OFF
2025-03-21T20:22:57.8032094Z --   EXECUTORCH_BUILD_EXECUTOR_RUNNER       : ON
2025-03-21T20:22:57.8032651Z --   EXECUTORCH_BUILD_EXTENSION_DATA_LOADER : OFF
2025-03-21T20:22:57.8033209Z --   EXECUTORCH_BUILD_EXTENSION_FLAT_TENSOR : OFF
2025-03-21T20:22:57.8033737Z --   EXECUTORCH_BUILD_EXTENSION_LLM : OFF
2025-03-21T20:22:57.8034256Z --   EXECUTORCH_BUILD_EXTENSION_MODULE      : OFF
2025-03-21T20:22:57.8034794Z --   EXECUTORCH_BUILD_EXTENSION_RUNNER_UTIL : OFF
2025-03-21T20:22:57.8035335Z --   EXECUTORCH_BUILD_EXTENSION_TENSOR      : OFF
2025-03-21T20:22:57.8035879Z --   EXECUTORCH_BUILD_EXTENSION_TRAINING    : OFF
2025-03-21T20:22:57.8036413Z --   EXECUTORCH_BUILD_FLATC                 : ON
2025-03-21T20:22:57.8036927Z --   EXECUTORCH_BUILD_GFLAGS                : ON
2025-03-21T20:22:57.8037447Z --   EXECUTORCH_BUILD_HOST_TARGETS          : ON
2025-03-21T20:22:57.8037979Z --   EXECUTORCH_BUILD_KERNELS_CUSTOM        : OFF
2025-03-21T20:22:57.8038517Z --   EXECUTORCH_BUILD_KERNELS_CUSTOM_AOT    : OFF
2025-03-21T20:22:57.8039059Z --   EXECUTORCH_BUILD_KERNELS_OPTIMIZED     : ON
2025-03-21T20:22:57.8039612Z --   EXECUTORCH_BUILD_KERNELS_QUANTIZED     : OFF
2025-03-21T20:22:57.8040320Z --   EXECUTORCH_BUILD_MPS                   : OFF
2025-03-21T20:22:57.8040835Z --   EXECUTORCH_BUILD_NEURON                : OFF
2025-03-21T20:22:57.8041356Z --   EXECUTORCH_BUILD_PTHREADPOOL           : ON
2025-03-21T20:22:57.8041886Z --   EXECUTORCH_BUILD_PYBIND                : OFF
2025-03-21T20:22:57.8042403Z --   EXECUTORCH_BUILD_QNN                   : OFF
2025-03-21T20:22:57.8042923Z --   EXECUTORCH_BUILD_SIZE_TEST             : OFF
2025-03-21T20:22:57.8043440Z --   EXECUTORCH_BUILD_TESTS                 : OFF
2025-03-21T20:22:57.8043963Z --   EXECUTORCH_BUILD_VULKAN                : OFF
2025-03-21T20:22:57.8044490Z --   EXECUTORCH_BUILD_XNNPACK               : OFF
2025-03-21T20:22:57.8045344Z -- Configuring done (5.2s)
2025-03-21T20:22:57.8045850Z -- Generating done (0.1s)
2025-03-21T20:22:57.8046405Z -- Build files have been written to: /pytorch/executorch/cmake-out
2025-03-21T20:22:57.8047241Z + cmake --build cmake-out -j4 --config Debug
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2025-03-21T20:22:57.8054321Z [  2%] No patch step for 'flatbuffers'
2025-03-21T20:22:57.8055017Z [  2%] Performing configure step for 'flatbuffers'
2025-03-21T20:22:57.8055624Z CMake Warning:
2025-03-21T20:22:57.8056082Z   Ignoring empty string ("") provided on the command line.
2025-03-21T20:22:57.8056499Z 
2025-03-21T20:22:57.8056677Z 
2025-03-21T20:22:57.8057239Z fatal: No names found, cannot describe anything.
2025-03-21T20:22:57.8057929Z CMake Warning at CMake/Version.cmake:32 (message):
2025-03-21T20:22:57.8058483Z   git describe failed with exit code: 128
2025-03-21T20:22:57.8058799Z 
2025-03-21T20:22:57.8059056Z   Make sure you cloned with tags or run 'git fetch --tags'.
2025-03-21T20:22:57.8059608Z Call Stack (most recent call first):
2025-03-21T20:22:57.8060062Z   CMakeLists.txt:5 (include)
2025-03-21T20:22:57.8060326Z 
2025-03-21T20:22:57.8060507Z 
2025-03-21T20:22:57.8060840Z -- Proceeding with version: 24.3.25.0
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2025-03-21T20:22:57.8072338Z -- Detecting CXX compile features - done
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2025-03-21T20:23:06.4944857Z [ 33%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_bitwise_not.cpp.o
2025-03-21T20:23:06.4946311Z [ 33%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_bitwise_or.cpp.o
2025-03-21T20:23:06.4947673Z [ 34%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_cat.cpp.o
2025-03-21T20:23:06.4949272Z [ 34%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_bitwise_xor.cpp.o
2025-03-21T20:23:06.4950680Z [ 34%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_bmm.cpp.o
2025-03-21T20:23:06.4952057Z [ 34%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_cdist_forward.cpp.o
2025-03-21T20:23:08.3862951Z [ 34%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_ceil.cpp.o
2025-03-21T20:23:08.3864263Z [ 34%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_clamp.cpp.o
2025-03-21T20:23:08.3865603Z [ 34%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_cat.cpp.o
2025-03-21T20:23:08.3866937Z [ 34%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_clone.cpp.o
2025-03-21T20:23:08.3868220Z [ 34%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_exp.cpp.o
2025-03-21T20:23:08.3869606Z [ 35%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_cdist_forward.cpp.o
2025-03-21T20:23:08.3871057Z [ 36%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_constant_pad_nd.cpp.o
2025-03-21T20:23:08.3872410Z [ 36%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_convolution.cpp.o
2025-03-21T20:23:08.3873761Z [ 36%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_ceil.cpp.o
2025-03-21T20:23:08.3875122Z [ 37%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_fft_r2c.cpp.o
2025-03-21T20:23:08.3876417Z [ 37%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_gelu.cpp.o
2025-03-21T20:23:08.3877807Z [ 37%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_convolution_backward.cpp.o
2025-03-21T20:23:08.3879224Z [ 37%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_clamp.cpp.o
2025-03-21T20:23:08.3880530Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:18,
2025-03-21T20:23:08.3881734Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec.h:7,
2025-03-21T20:23:08.3882808Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/native/cpu/Gelu.h:3,
2025-03-21T20:23:08.3884073Z                  from /pytorch/executorch/kernels/optimized/cpu/op_gelu.cpp:16:
2025-03-21T20:23:08.3886946Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256_qint.h: In function ‘std::pair<at::vec::CPU_CAPABILITY::Vectorized<float>, at::vec::CPU_CAPABILITY::Vectorized<float> > at::vec::CPU_CAPABILITY::convert_int8_to_float(at::vec::CPU_CAPABILITY::Vectorized<signed char>)’:
2025-03-21T20:23:08.3890912Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256_qint.h:1294:61: note: parameter passing for argument of type ‘std::pair<at::vec::CPU_CAPABILITY::Vectorized<float>, at::vec::CPU_CAPABILITY::Vectorized<float> >’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:23:08.3892967Z  1294 | inline convert_int8_to_float(at::vec::Vectorized<int8_t> src) {
2025-03-21T20:23:08.3893590Z       |                                                             ^
2025-03-21T20:23:08.3894525Z [ 37%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_copy.cpp.o
2025-03-21T20:23:08.3895807Z [ 37%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_le.cpp.o
2025-03-21T20:23:08.3897087Z [ 37%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_linear.cpp.o
2025-03-21T20:23:08.3899433Z [ 37%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_clone.cpp.o
2025-03-21T20:23:08.3900900Z [ 37%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_cos.cpp.o
2025-03-21T20:23:08.3902361Z [ 37%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_log_softmax.cpp.o
2025-03-21T20:23:08.3904003Z [ 37%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_constant_pad_nd.cpp.o
2025-03-21T20:23:08.3905557Z [ 38%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_cosh.cpp.o
2025-03-21T20:23:08.3906968Z In file included from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:18,
2025-03-21T20:23:08.3908335Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec.h:7,
2025-03-21T20:23:08.3909632Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/functional_base.h:6,
2025-03-21T20:23:08.3910974Z                  from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/functional.h:3,
2025-03-21T20:23:08.3912113Z                  from /pytorch/executorch/kernels/optimized/cpu/op_log_softmax.cpp:17:
2025-03-21T20:23:08.3914830Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256_qint.h: In function ‘std::pair<at::vec::CPU_CAPABILITY::Vectorized<float>, at::vec::CPU_CAPABILITY::Vectorized<float> > at::vec::CPU_CAPABILITY::convert_int8_to_float(at::vec::CPU_CAPABILITY::Vectorized<signed char>)’:
2025-03-21T20:23:08.3918769Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/ATen/cpu/vec/vec256/vec256_qint.h:1294:61: note: parameter passing for argument of type ‘std::pair<at::vec::CPU_CAPABILITY::Vectorized<float>, at::vec::CPU_CAPABILITY::Vectorized<float> >’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:23:08.3920969Z  1294 | inline convert_int8_to_float(at::vec::Vectorized<int8_t> src) {
2025-03-21T20:23:08.3921734Z       |                                                             ^
2025-03-21T20:23:08.3922811Z [ 39%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_mm.cpp.o
2025-03-21T20:23:08.3924345Z [ 39%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_convolution.cpp.o
2025-03-21T20:23:08.3925968Z [ 39%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_cumsum.cpp.o
2025-03-21T20:23:08.3927635Z [ 39%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_mul.cpp.o
2025-03-21T20:23:08.3929152Z [ 39%] Building CXX object kernels/optimized/CMakeFiles/optimized_kernels.dir/cpu/op_native_layer_norm.cpp.o
2025-03-21T20:23:08.3931004Z [ 40%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/op_convolution_backward.cpp.o
2025-03-21T20:23:08.3932662Z [ 40%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_detach_copy.cpp.o
2025-03-21T20:23:08.3933941Z In file included from /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:13:
2025-03-21T20:23:08.3937360Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h: In instantiation of ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMoments(const T*, int64_t, int64_t) [with T = double; typename executorch::utils::ComputeDTypeTraits<scalar_t>::type = double; int64_t = long int]’:
2025-03-21T20:23:08.3943733Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:83:50:   required from ‘void torch::executor::native::{anonymous}::layer_norm(const Tensor&, executorch::runtime::IntArrayRef, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, CTYPE, torch::executor::native::Tensor&, torch::executor::native::Tensor&, torch::executor::native::Tensor&) [with CTYPE = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; executorch::runtime::IntArrayRef = executorch::runtime::ArrayRef<long int>]’
2025-03-21T20:23:08.3947740Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:158:3:   required from here
2025-03-21T20:23:08.3949967Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:170:1: note: parameter passing for argument of type ‘std::pair<double, double>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:23:08.3951618Z   170 | RowwiseMoments(const T* X, int64_t N, int64_t ddof = 0) {
2025-03-21T20:23:08.3952322Z       | ^~~~~~~~~~~~~~
2025-03-21T20:23:08.3955346Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h: In instantiation of ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMoments(const T*, int64_t, int64_t) [with T = float; typename executorch::utils::ComputeDTypeTraits<scalar_t>::type = float; int64_t = long int]’:
2025-03-21T20:23:08.3961408Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:83:50:   required from ‘void torch::executor::native::{anonymous}::layer_norm(const Tensor&, executorch::runtime::IntArrayRef, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, CTYPE, torch::executor::native::Tensor&, torch::executor::native::Tensor&, torch::executor::native::Tensor&) [with CTYPE = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; executorch::runtime::IntArrayRef = executorch::runtime::ArrayRef<long int>]’
2025-03-21T20:23:08.3965183Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:158:3:   required from here
2025-03-21T20:23:08.3967430Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:170:1: note: parameter passing for argument of type ‘std::pair<float, float>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:23:08.3971581Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h: In instantiation of ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMomentsImpl(const T*, int64_t, int64_t) [with T = double; long int kMaxDepth = 4; typename executorch::utils::ComputeDTypeTraits<scalar_t>::type = double; int64_t = long int]’:
2025-03-21T20:23:08.3977295Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:177:36:   required from ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMoments(const T*, int64_t, int64_t) [with T = double; typename executorch::utils::ComputeDTypeTraits<scalar_t>::type = double; int64_t = long int]’
2025-03-21T20:23:08.3983399Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:83:50:   required from ‘void torch::executor::native::{anonymous}::layer_norm(const Tensor&, executorch::runtime::IntArrayRef, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, CTYPE, torch::executor::native::Tensor&, torch::executor::native::Tensor&, torch::executor::native::Tensor&) [with CTYPE = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; executorch::runtime::IntArrayRef = executorch::runtime::ArrayRef<long int>]’
2025-03-21T20:23:08.3987174Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:158:3:   required from here
2025-03-21T20:23:08.3989343Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:92:1: note: parameter passing for argument of type ‘std::pair<double, double>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:23:08.3991137Z    92 | RowwiseMomentsImpl(const T* X, int64_t N, int64_t ddof = 0) {
2025-03-21T20:23:08.3991858Z       | ^~~~~~~~~~~~~~~~~~
2025-03-21T20:23:08.3995238Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h: In instantiation of ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMomentsImpl(const T*, int64_t, int64_t) [with T = float; long int kMaxDepth = 4; typename executorch::utils::ComputeDTypeTraits<scalar_t>::type = float; int64_t = long int]’:
2025-03-21T20:23:08.4000509Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:177:36:   required from ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMoments(const T*, int64_t, int64_t) [with T = float; typename executorch::utils::ComputeDTypeTraits<scalar_t>::type = float; int64_t = long int]’
2025-03-21T20:23:08.4006665Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:83:50:   required from ‘void torch::executor::native::{anonymous}::layer_norm(const Tensor&, executorch::runtime::IntArrayRef, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, CTYPE, torch::executor::native::Tensor&, torch::executor::native::Tensor&, torch::executor::native::Tensor&) [with CTYPE = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; executorch::runtime::IntArrayRef = executorch::runtime::ArrayRef<long int>]’
2025-03-21T20:23:08.4010482Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:158:3:   required from here
2025-03-21T20:23:08.4012934Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:92:1: note: parameter passing for argument of type ‘std::pair<float, float>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:23:08.4014375Z In file included from /usr/include/c++/11/utility:70,
2025-03-21T20:23:08.4014910Z                  from /usr/include/c++/11/array:38,
2025-03-21T20:23:08.4015544Z                  from /pytorch/executorch/../executorch/runtime/core/array_ref.h:29,
2025-03-21T20:23:08.4016401Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:34,
2025-03-21T20:23:08.4017288Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-03-21T20:23:08.4018185Z                  from /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:9:
2025-03-21T20:23:08.4022872Z /usr/include/c++/11/bits/stl_pair.h: In instantiation of ‘constexpr std::pair<typename std::__strip_reference_wrapper<typename std::decay<_Tp>::type>::__type, typename std::__strip_reference_wrapper<typename std::decay<_Tp2>::type>::__type> std::make_pair(_T1&&, _T2&&) [with _T1 = double&; _T2 = double; typename std::__strip_reference_wrapper<typename std::decay<_Tp2>::type>::__type = double; typename std::decay<_Tp2>::type = double; typename std::__strip_reference_wrapper<typename std::decay<_Tp>::type>::__type = double; typename std::decay<_Tp>::type = double]’:
2025-03-21T20:23:08.4028602Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:165:24:   required from ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMomentsImpl(const T*, int64_t, int64_t) [with T = double; long int kMaxDepth = 4; typename executorch::utils::ComputeDTypeTraits<scalar_t>::type = double; int64_t = long int]’
2025-03-21T20:23:08.4033682Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:177:36:   required from ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMoments(const T*, int64_t, int64_t) [with T = double; typename executorch::utils::ComputeDTypeTraits<scalar_t>::type = double; int64_t = long int]’
2025-03-21T20:23:08.4039931Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:83:50:   required from ‘void torch::executor::native::{anonymous}::layer_norm(const Tensor&, executorch::runtime::IntArrayRef, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, CTYPE, torch::executor::native::Tensor&, torch::executor::native::Tensor&, torch::executor::native::Tensor&) [with CTYPE = double; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; executorch::runtime::IntArrayRef = executorch::runtime::ArrayRef<long int>]’
2025-03-21T20:23:08.4043586Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:158:3:   required from here
2025-03-21T20:23:08.4045321Z /usr/include/c++/11/bits/stl_pair.h:567:5: note: parameter passing for argument of type ‘std::pair<double, double>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:23:08.4047063Z   567 |     make_pair(_T1&& __x, _T2&& __y)
2025-03-21T20:23:08.4047519Z       |     ^~~~~~~~~
2025-03-21T20:23:08.4050925Z /usr/include/c++/11/bits/stl_pair.h: In instantiation of ‘constexpr std::pair<typename std::__strip_reference_wrapper<typename std::decay<_Tp>::type>::__type, typename std::__strip_reference_wrapper<typename std::decay<_Tp2>::type>::__type> std::make_pair(_T1&&, _T2&&) [with _T1 = float&; _T2 = float; typename std::__strip_reference_wrapper<typename std::decay<_Tp2>::type>::__type = float; typename std::decay<_Tp2>::type = float; typename std::__strip_reference_wrapper<typename std::decay<_Tp>::type>::__type = float; typename std::decay<_Tp>::type = float]’:
2025-03-21T20:23:08.4056469Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:165:24:   required from ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMomentsImpl(const T*, int64_t, int64_t) [with T = float; long int kMaxDepth = 4; typename executorch::utils::ComputeDTypeTraits<scalar_t>::type = float; int64_t = long int]’
2025-03-21T20:23:08.4418845Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:177:36:   required from ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMoments(const T*, int64_t, int64_t) [with T = float; typename executorch::utils::ComputeDTypeTraits<scalar_t>::type = float; int64_t = long int]’
2025-03-21T20:23:08.4425565Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:83:50:   required from ‘void torch::executor::native::{anonymous}::layer_norm(const Tensor&, executorch::runtime::IntArrayRef, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, CTYPE, torch::executor::native::Tensor&, torch::executor::native::Tensor&, torch::executor::native::Tensor&) [with CTYPE = float; torch::executor::native::Tensor = executorch::runtime::etensor::Tensor; executorch::runtime::IntArrayRef = executorch::runtime::ArrayRef<long int>]’
2025-03-21T20:23:08.4429229Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:158:3:   required from here
2025-03-21T20:23:08.4430952Z /usr/include/c++/11/bits/stl_pair.h:567:5: note: parameter passing for argument of type ‘std::pair<float, float>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:23:08.4434621Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp: In function ‘void torch::executor::native::{anonymous}::layer_norm(const Tensor&, executorch::runtime::IntArrayRef, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, CTYPE, torch::executor::native::Tensor&, torch::executor::native::Tensor&, torch::executor::native::Tensor&) [with CTYPE = double]’:
2025-03-21T20:23:08.4438485Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:83:50: note: parameter passing for argument of type ‘std::pair<double, double>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:23:08.4440406Z    83 |     std::tie(mean_val, rstd_val) = RowwiseMoments(src_ptr, N);
2025-03-21T20:23:08.4440998Z       |                                    ~~~~~~~~~~~~~~^~~~~~~~~~~~
2025-03-21T20:23:08.4444056Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp: In function ‘void torch::executor::native::{anonymous}::layer_norm(const Tensor&, executorch::runtime::IntArrayRef, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, CTYPE, torch::executor::native::Tensor&, torch::executor::native::Tensor&, torch::executor::native::Tensor&) [with CTYPE = float]’:
2025-03-21T20:23:08.4447864Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:83:50: note: parameter passing for argument of type ‘std::pair<float, float>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:23:08.4451712Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp: In function ‘void torch::executor::native::{anonymous}::layer_norm(const Tensor&, executorch::runtime::IntArrayRef, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, CTYPE, torch::executor::native::Tensor&, torch::executor::native::Tensor&, torch::executor::native::Tensor&) [with CTYPE = double]’:
2025-03-21T20:23:08.4455443Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:27:6: note: parameter passing for argument of type ‘std::pair<double, double>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:23:08.4456780Z    27 | void layer_norm(
2025-03-21T20:23:08.4457156Z       |      ^~~~~~~~~~
2025-03-21T20:23:08.4460055Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp: In function ‘void torch::executor::native::{anonymous}::layer_norm(const Tensor&, executorch::runtime::IntArrayRef, const std::optional<executorch::runtime::etensor::Tensor>&, const std::optional<executorch::runtime::etensor::Tensor>&, CTYPE, torch::executor::native::Tensor&, torch::executor::native::Tensor&, torch::executor::native::Tensor&) [with CTYPE = float]’:
2025-03-21T20:23:08.4463722Z /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:27:6: note: parameter passing for argument of type ‘std::pair<float, float>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:23:08.4465633Z In file included from /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:13:
2025-03-21T20:23:08.4468514Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h: In function ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMoments(const T*, int64_t, int64_t) [with T = double]’:
2025-03-21T20:23:08.4471759Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:170:1: note: parameter passing for argument of type ‘std::pair<double, double>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:23:08.4473234Z   170 | RowwiseMoments(const T* X, int64_t N, int64_t ddof = 0) {
2025-03-21T20:23:08.4473779Z       | ^~~~~~~~~~~~~~
2025-03-21T20:23:08.4476039Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h: In function ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMoments(const T*, int64_t, int64_t) [with T = float]’:
2025-03-21T20:23:08.4479240Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:170:1: note: parameter passing for argument of type ‘std::pair<float, float>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:23:08.4482886Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h: In function ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMomentsImpl(const T*, int64_t, int64_t) [with T = double; long int kMaxDepth = 4]’:
2025-03-21T20:23:08.4486312Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:92:1: note: parameter passing for argument of type ‘std::pair<double, double>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:23:08.4487827Z    92 | RowwiseMomentsImpl(const T* X, int64_t N, int64_t ddof = 0) {
2025-03-21T20:23:08.4488420Z       | ^~~~~~~~~~~~~~~~~~
2025-03-21T20:23:08.4490873Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h: In function ‘std::pair<typename executorch::utils::ComputeDTypeTraits<scalar_t>::type, typename executorch::utils::ComputeDTypeTraits<scalar_t>::type> torch::executor::native::RowwiseMomentsImpl(const T*, int64_t, int64_t) [with T = float; long int kMaxDepth = 4]’:
2025-03-21T20:23:08.4494167Z /pytorch/executorch/../executorch/kernels/optimized/cpu/moments_utils.h:92:1: note: parameter passing for argument of type ‘std::pair<float, float>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:23:08.4495571Z In file included from /usr/include/c++/11/utility:70,
2025-03-21T20:23:08.4496102Z                  from /usr/include/c++/11/array:38,
2025-03-21T20:23:08.4496752Z                  from /pytorch/executorch/../executorch/runtime/core/array_ref.h:29,
2025-03-21T20:23:08.4497611Z                  from /pytorch/executorch/../executorch/runtime/core/exec_aten/exec_aten.h:34,
2025-03-21T20:23:08.4498510Z                  from /pytorch/executorch/../executorch/runtime/kernel/kernel_includes.h:20,
2025-03-21T20:23:08.4499428Z                  from /pytorch/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:9:
2025-03-21T20:23:08.4501725Z /usr/include/c++/11/bits/stl_pair.h: In function ‘constexpr std::pair<typename std::__strip_reference_wrapper<typename std::decay<_Tp>::type>::__type, typename std::__strip_reference_wrapper<typename std::decay<_Tp2>::type>::__type> std::make_pair(_T1&&, _T2&&) [with _T1 = double&; _T2 = double]’:
2025-03-21T20:23:08.4504367Z /usr/include/c++/11/bits/stl_pair.h:567:5: note: parameter passing for argument of type ‘std::pair<double, double>’ when C++17 is enabled changed to match C++14 in GCC 10.1
2025-03-21T20:23:08.4505491Z   567 |     make_pair(_T1&& __x, _T2&& __y)
2025-03-21T20:23:08.4505919Z       |     ^~~~~~~~~
2025-03-21T20:23:08.4508197Z /usr/include/c++/11/bits/stl_pair.h: In function ‘constexpr std::pair<typename std::__strip_reference_wrapper<typename std::decay<_Tp>::type>::__type, typename std::__strip_reference_wrapper<typename std::decay<_Tp2>::type>::__type> std::make_pair(_T1&&, _T2&&) [with _T1 = float&; _T2 = float]’:
2025-03-21T20:23:08.4510821Z /usr/include/c++/11/bits/stl_pair.h:567:5: note: parameter passing for argument of type ‘std::pair<float, float>’ when C++17 is enabled changed to match C++14 in GCC 10.1
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2025-03-21T20:23:25.4861938Z [ 90%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/op_zeros.cpp.o
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2025-03-21T20:23:25.4864984Z [ 91%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/util/broadcast_util.cpp.o
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2025-03-21T20:23:25.4869903Z [ 91%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/util/activation_ops_util.cpp.o
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2025-03-21T20:23:25.4872805Z [ 92%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/util/broadcast_util.cpp.o
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2025-03-21T20:23:25.4886393Z [ 93%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/util/dtype_util.cpp.o
2025-03-21T20:23:25.4887852Z [ 93%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/util/kernel_ops_util.cpp.o
2025-03-21T20:23:25.4889383Z [ 94%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/util/matmul_ops_util.cpp.o
2025-03-21T20:23:25.4891000Z [ 94%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/util/normalization_ops_util.cpp.o
2025-03-21T20:23:25.4892501Z [ 95%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/util/index_util.cpp.o
2025-03-21T20:23:25.4893937Z [ 95%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/util/padding_util.cpp.o
2025-03-21T20:23:25.4895454Z [ 95%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/util/reduce_util.cpp.o
2025-03-21T20:23:25.4896985Z [ 95%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/util/repeat_util.cpp.o
2025-03-21T20:23:25.4898448Z [ 95%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/util/kernel_ops_util.cpp.o
2025-03-21T20:23:25.4899958Z [ 96%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/util/select_copy_util.cpp.o
2025-03-21T20:23:25.4901472Z [ 96%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/util/slice_util.cpp.o
2025-03-21T20:23:25.4903007Z [ 96%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/util/upsample_util.cpp.o
2025-03-21T20:23:25.4904678Z [ 96%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/util/matmul_ops_util.cpp.o
2025-03-21T20:23:25.4906271Z [ 96%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/util/normalization_ops_util.cpp.o
2025-03-21T20:23:25.4907736Z [ 96%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/util/padding_util.cpp.o
2025-03-21T20:23:25.4908867Z [ 96%] Linking CXX static library liboptimized_portable_kernels.a
2025-03-21T20:46:01.2432454Z [ 97%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/util/reduce_util.cpp.o
2025-03-21T20:46:01.2433939Z [ 97%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/util/repeat_util.cpp.o
2025-03-21T20:46:01.2435342Z [ 97%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/util/select_copy_util.cpp.o
2025-03-21T20:46:01.2436765Z [ 97%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/util/slice_util.cpp.o
2025-03-21T20:46:01.2438159Z [ 97%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/util/upsample_util.cpp.o
2025-03-21T20:46:01.2439951Z [ 98%] Linking CXX static library libportable_kernels.a
2025-03-21T20:46:01.2440596Z [ 98%] Built target optimized_portable_kernels
2025-03-21T20:46:01.2441229Z [ 98%] Merging kernel yaml files
2025-03-21T20:46:01.2441714Z [ 98%] Built target portable_kernels
2025-03-21T20:46:01.2442440Z [ 98%] Generating selected_operators.yaml for portable_ops_lib
2025-03-21T20:46:01.2443390Z [ 99%] Generating selected_operators.yaml for optimized_native_cpu_ops_lib
2025-03-21T20:46:01.2444231Z [ 99%] Generating code for kernel registration
2025-03-21T20:46:01.2444948Z [ 99%] Generating code for kernel registration
2025-03-21T20:46:01.2446511Z [ 99%] Building CXX object configurations/CMakeFiles/optimized_native_cpu_ops_lib.dir/optimized_native_cpu_ops_lib/RegisterCodegenUnboxedKernelsEverything.cpp.o
2025-03-21T20:46:01.2448560Z [ 99%] Building CXX object kernels/portable/CMakeFiles/portable_ops_lib.dir/portable_ops_lib/RegisterCodegenUnboxedKernelsEverything.cpp.o
2025-03-21T20:46:01.2449983Z [ 99%] Linking CXX static library liboptimized_native_cpu_ops_lib.a
2025-03-21T20:46:01.2450663Z [ 99%] Built target optimized_native_cpu_ops_lib
2025-03-21T20:46:01.2451747Z [ 99%] Building CXX object CMakeFiles/executor_runner.dir/examples/portable/executor_runner/executor_runner.cpp.o
2025-03-21T20:46:01.2453154Z [ 99%] Building CXX object CMakeFiles/executor_runner.dir/extension/data_loader/file_data_loader.cpp.o
2025-03-21T20:46:01.2454497Z [100%] Building CXX object CMakeFiles/executor_runner.dir/extension/evalue_util/print_evalue.cpp.o
2025-03-21T20:46:01.2455560Z [100%] Linking CXX static library libportable_ops_lib.a
2025-03-21T20:46:01.2456150Z [100%] Built target portable_ops_lib
2025-03-21T20:46:01.2457059Z [100%] Building CXX object CMakeFiles/executor_runner.dir/extension/runner_util/inputs.cpp.o
2025-03-21T20:46:01.2458330Z [100%] Building CXX object CMakeFiles/executor_runner.dir/extension/runner_util/inputs_portable.cpp.o
2025-03-21T20:46:01.2459751Z [100%] Building CXX object CMakeFiles/executor_runner.dir/runtime/executor/test/test_backend_compiler_lib.cpp.o
2025-03-21T20:46:01.2460825Z [100%] Linking CXX executable executor_runner
2025-03-21T20:46:01.2461358Z [100%] Built target executor_runner
2025-03-21T20:46:01.2461876Z + ./cmake-out/executor_runner --model_path ./ic4.pte
2025-03-21T20:46:01.2462663Z I 00:00:00.000787 executorch:cpuinfo_utils.cpp:62] Reading file /sys/devices/soc0/image_version
2025-03-21T20:46:01.2463692Z I 00:00:00.000824 executorch:cpuinfo_utils.cpp:78] Failed to open midr file /sys/devices/soc0/image_version
2025-03-21T20:46:01.2465287Z I 00:00:00.000841 executorch:cpuinfo_utils.cpp:91] Reading file /sys/devices/system/cpu/cpu0/regs/identification/midr_el1
2025-03-21T20:46:01.2466812Z I 00:00:00.000892 executorch:cpuinfo_utils.cpp:91] Reading file /sys/devices/system/cpu/cpu1/regs/identification/midr_el1
2025-03-21T20:46:01.2468128Z I 00:00:00.000916 executorch:cpuinfo_utils.cpp:91] Reading file /sys/devices/system/cpu/cpu2/regs/identification/midr_el1
2025-03-21T20:46:01.2469393Z I 00:00:00.000938 executorch:cpuinfo_utils.cpp:91] Reading file /sys/devices/system/cpu/cpu3/regs/identification/midr_el1
2025-03-21T20:46:01.2470662Z I 00:00:00.000958 executorch:cpuinfo_utils.cpp:91] Reading file /sys/devices/system/cpu/cpu4/regs/identification/midr_el1
2025-03-21T20:46:01.2471934Z I 00:00:00.000977 executorch:cpuinfo_utils.cpp:91] Reading file /sys/devices/system/cpu/cpu5/regs/identification/midr_el1
2025-03-21T20:46:01.2473195Z I 00:00:00.001003 executorch:cpuinfo_utils.cpp:91] Reading file /sys/devices/system/cpu/cpu6/regs/identification/midr_el1
2025-03-21T20:46:01.2474466Z I 00:00:00.001025 executorch:cpuinfo_utils.cpp:91] Reading file /sys/devices/system/cpu/cpu7/regs/identification/midr_el1
2025-03-21T20:46:01.2475595Z I 00:00:00.001050 executorch:executor_runner.cpp:142] Resetting threadpool with num threads = 8
2025-03-21T20:46:01.2476664Z I 00:00:00.062990 executorch:executor_runner.cpp:166] Model file ./ic4.pte is loaded.
2025-03-21T20:46:01.2477478Z I 00:00:00.063023 executorch:executor_runner.cpp:175] Using method forward
2025-03-21T20:46:01.2478342Z I 00:00:00.063038 executorch:executor_runner.cpp:226] Setting up planned buffer 0, size 13040128.
2025-03-21T20:46:01.2479175Z I 00:00:00.081519 executorch:executor_runner.cpp:251] Method loaded.
2025-03-21T20:46:01.2480083Z I 00:22:25.090638 executorch:executor_runner.cpp:284] Model executed successfully 1 time(s) in 1345007.543974 ms.
2025-03-21T20:46:01.2480983Z I 00:22:25.090677 executorch:executor_runner.cpp:293] 1 outputs: 
2025-03-21T20:46:01.2481552Z Output 0: tensor(sizes=[1, 1000], [
2025-03-21T20:46:01.2482240Z   -0.759874, -1.21882, -1.21272, -1.22926, -0.587079, 0.116362, -1.09542, -0.888288, -0.667166, -0.177688, 
2025-03-21T20:46:01.2483156Z   -0.256374, -1.20696, -1.2142, -0.573917, -0.692502, -0.158826, 0.637873, -0.469639, -0.303224, -0.38539, 
2025-03-21T20:46:01.2484057Z   -0.470639, 1.58309, 0.016328, -0.100842, -0.133861, -0.136492, -1.22331, -0.619112, -0.21192, -1.26655, 
2025-03-21T20:46:01.2484963Z   -1.58568, -0.571775, -1.48607, -1.02181, -0.547248, -0.797658, -0.823258, -1.2621, 0.920928, -0.827653, 
2025-03-21T20:46:01.2485992Z   -1.29866, 0.231346, 0.253374, -0.569625, -0.375999, -0.650812, 0.00791859, -0.0616589, -0.923076, -0.811853, 
2025-03-21T20:46:01.2486936Z   -0.648299, 0.659727, 0.397984, -0.366639, -0.493734, -1.23803, -0.128947, -0.45937, -1.2293, -0.701993, 
2025-03-21T20:46:01.2487857Z   0.0328135, -0.448052, -1.34801, 0.256863, -1.29763, -0.486483, 0.296446, -0.262075, -0.0742301, -0.734212, 
2025-03-21T20:46:01.2488774Z   -0.834397, 0.648651, -0.632887, 0.393766, -1.1203, 0.0516464, -0.750952, -0.325256, 0.835768, 0.441833, 
2025-03-21T20:46:01.2489713Z   -0.274476, 0.191539, -0.0622197, -0.595594, -0.150407, -0.299702, -0.707539, -0.0653678, -0.441275, 0.281742, 
2025-03-21T20:46:01.2490662Z   -0.896487, -0.0341977, 0.534214, -0.367927, -0.413818, -0.941449, -0.782918, -0.984929, -0.327304, -0.235135, 
2025-03-21T20:46:01.2491351Z   ...,
2025-03-21T20:46:01.2491935Z   -0.657207, 0.458451, 2.99953, 0.949906, -0.869269, -0.706855, 0.576013, 0.178111, -0.47115, -0.163424, 
2025-03-21T20:46:01.2492840Z   1.21711, 1.25218, -0.986443, 0.0641473, -0.474408, -0.541473, 2.08272, -1.61036, -0.479425, -0.0115158, 
2025-03-21T20:46:01.2493749Z   0.278574, -0.952848, 0.15151, 0.579084, -0.79916, -0.872162, -1.17906, -0.277949, -1.44459, -0.440872, 
2025-03-21T20:46:01.2494641Z   0.276962, -0.0499806, -0.15459, -1.06936, -1.42459, -0.694794, 0.492523, 1.76826, 0.616639, 0.428776, 
2025-03-21T20:46:01.2495733Z   0.109612, -0.560127, 0.329378, 0.0667282, 0.120407, 0.176575, -1.18893, -1.24617, 1.6157, 0.900435, 
2025-03-21T20:46:01.2496646Z   0.30093, 0.572829, 0.312348, 0.321993, 1.06301, 0.0357056, 1.15303, -0.320032, -0.00157453, -0.288985, 
2025-03-21T20:46:01.2497659Z   0.925448, -1.01325, -0.844908, -0.531204, -0.636629, -0.720461, 1.85054, -0.523725, 1.63163, 1.28866, 
2025-03-21T20:46:01.2498596Z   -0.910537, -0.247086, 0.203711, -1.09874, -0.578144, -1.57869, -0.233595, 0.239319, -0.536091, -1.05549, 
2025-03-21T20:46:01.2499509Z   -0.758145, -1.23619, -0.578582, -0.58188, -0.599806, -0.251907, -1.30993, 0.856078, -0.0422446, -1.12818, 
2025-03-21T20:46:01.2500407Z   0.0638917, -1.20865, -1.3288, -0.902946, -1.08585, -1.56603, 0.39294, -1.02981, 0.316695, 0.291257, 
2025-03-21T20:46:01.2501053Z ])
2025-03-21T20:46:01.2567992Z ##[group]Run pmeier/pytest-results-action@v0.3.0
2025-03-21T20:46:01.2568626Z with:
2025-03-21T20:46:01.2569079Z   path: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:46:01.2569669Z   fail-on-empty: false
2025-03-21T20:46:01.2570027Z env:
2025-03-21T20:46:01.2570425Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:46:01.2570971Z   REPOSITORY: pytorch/executorch
2025-03-21T20:46:01.2571387Z   PR_NUMBER: 
2025-03-21T20:46:01.2573678Z   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}"

MODEL_NAME=ic4
BUILD_TOOL="cmake"
BACKEND=portable

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Build and test ExecuTorch
PYTHON_EXECUTABLE=python bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "${BACKEND}"

2025-03-21T20:46:01.2576569Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:46:01.2577419Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:46:01.2578206Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:46:01.2578767Z ##[endgroup]
2025-03-21T20:46:01.3314607Z Prepare all required actions
2025-03-21T20:46:01.3366548Z ##[group]Run ./test-infra/.github/actions/chown-directory
2025-03-21T20:46:01.3367079Z with:
2025-03-21T20:46:01.3367573Z   directory: /home/ec2-user/actions-runner/_work/executorch/executorch/
2025-03-21T20:46:01.3368217Z   ALPINE_IMAGE: arm64v8/alpine
2025-03-21T20:46:01.3368607Z env:
2025-03-21T20:46:01.3368999Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:46:01.3369536Z   REPOSITORY: pytorch/executorch
2025-03-21T20:46:01.3369945Z   PR_NUMBER: 
2025-03-21T20:46:01.3372277Z   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}"

MODEL_NAME=ic4
BUILD_TOOL="cmake"
BACKEND=portable

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Build and test ExecuTorch
PYTHON_EXECUTABLE=python bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "${BACKEND}"

2025-03-21T20:46:01.3374865Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:46:01.3375693Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:46:01.3376477Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:46:01.3377021Z ##[endgroup]
2025-03-21T20:46:01.3408349Z ##[group]Run docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
2025-03-21T20:46:01.3409344Z docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
2025-03-21T20:46:01.3421031Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:46:01.3421589Z env:
2025-03-21T20:46:01.3421989Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:46:01.3422532Z   REPOSITORY: pytorch/executorch
2025-03-21T20:46:01.3423169Z   PR_NUMBER: 
2025-03-21T20:46:01.3425459Z   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}"

MODEL_NAME=ic4
BUILD_TOOL="cmake"
BACKEND=portable

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Build and test ExecuTorch
PYTHON_EXECUTABLE=python bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "${BACKEND}"

2025-03-21T20:46:01.3428035Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:46:01.3428863Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:46:01.3429638Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:46:01.3430215Z   ALPINE_IMAGE: arm64v8/alpine
2025-03-21T20:46:01.3430796Z   DIRECTORY: /home/ec2-user/actions-runner/_work/executorch/executorch/
2025-03-21T20:46:01.3431395Z ##[endgroup]
2025-03-21T20:46:01.3636196Z Unable to find image 'arm64v8/alpine:latest' locally
2025-03-21T20:46:01.5299036Z latest: Pulling from arm64v8/alpine
2025-03-21T20:46:01.5893474Z 6e771e15690e: Pulling fs layer
2025-03-21T20:46:01.6608213Z 6e771e15690e: Verifying Checksum
2025-03-21T20:46:01.6608726Z 6e771e15690e: Download complete
2025-03-21T20:46:01.7768501Z 6e771e15690e: Pull complete
2025-03-21T20:46:01.7906199Z Digest: sha256:7a04ffc3dd9fae02928205d3fb9414decdee461f62fc2b56df7f4da063ec6bdf
2025-03-21T20:46:01.7950421Z Status: Downloaded newer image for arm64v8/alpine:latest
2025-03-21T20:46:02.9564647Z Prepare all required actions
2025-03-21T20:46:02.9604965Z ##[group]Run ./test-infra/.github/actions/chown-directory
2025-03-21T20:46:02.9605525Z with:
2025-03-21T20:46:02.9606062Z   directory: /home/ec2-user/actions-runner/_work/_temp
2025-03-21T20:46:02.9606600Z   ALPINE_IMAGE: arm64v8/alpine
2025-03-21T20:46:02.9606982Z env:
2025-03-21T20:46:02.9607381Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:46:02.9607948Z   REPOSITORY: pytorch/executorch
2025-03-21T20:46:02.9608364Z   PR_NUMBER: 
2025-03-21T20:46:02.9610650Z   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}"

MODEL_NAME=ic4
BUILD_TOOL="cmake"
BACKEND=portable

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Build and test ExecuTorch
PYTHON_EXECUTABLE=python bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "${BACKEND}"

2025-03-21T20:46:02.9613508Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:46:02.9614395Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:46:02.9615182Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:46:02.9615733Z ##[endgroup]
2025-03-21T20:46:02.9649725Z ##[group]Run docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
2025-03-21T20:46:02.9650751Z docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
2025-03-21T20:46:02.9660055Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:46:02.9660588Z env:
2025-03-21T20:46:02.9660981Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:46:02.9661530Z   REPOSITORY: pytorch/executorch
2025-03-21T20:46:02.9661941Z   PR_NUMBER: 
2025-03-21T20:46:02.9664251Z   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}"

MODEL_NAME=ic4
BUILD_TOOL="cmake"
BACKEND=portable

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Build and test ExecuTorch
PYTHON_EXECUTABLE=python bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "${BACKEND}"

2025-03-21T20:46:02.9666823Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:46:02.9667908Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:46:02.9668678Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:46:02.9669254Z   ALPINE_IMAGE: arm64v8/alpine
2025-03-21T20:46:02.9669741Z   DIRECTORY: /home/ec2-user/actions-runner/_work/_temp
2025-03-21T20:46:02.9670248Z ##[endgroup]
2025-03-21T20:46:03.6505922Z ##[group]Run # Only do these steps if we actually want to upload an artifact
2025-03-21T20:46:03.6506840Z # Only do these steps if we actually want to upload an artifact
2025-03-21T20:46:03.6507504Z if [[ -n "${UPLOAD_ARTIFACT_NAME}" ]]; then
2025-03-21T20:46:03.6508292Z   # If the default execution path is followed then we should get a wheel in the dist/ folder
2025-03-21T20:46:03.6509171Z   # attempt to just grab whatever is in there and scoop it all up
2025-03-21T20:46:03.6509883Z   if find "dist/" -name "*.whl" >/dev/null 2>/dev/null; then
2025-03-21T20:46:03.6510516Z     mv -v dist/*.whl "${RUNNER_ARTIFACT_DIR}/"
2025-03-21T20:46:03.6511006Z   fi
2025-03-21T20:46:03.6511411Z   if [[ -d "artifacts-to-be-uploaded" ]]; then
2025-03-21T20:46:03.6512052Z     mv -v artifacts-to-be-uploaded/* "${RUNNER_ARTIFACT_DIR}/"
2025-03-21T20:46:03.6512849Z   fi
2025-03-21T20:46:03.6513216Z fi
2025-03-21T20:46:03.6513544Z 
2025-03-21T20:46:03.6513861Z upload_docs=0
2025-03-21T20:46:03.6514442Z # Check if there are files in the documentation folder to upload, note that
2025-03-21T20:46:03.6515106Z # empty folders do not count
2025-03-21T20:46:03.6515752Z if find "${RUNNER_DOCS_DIR}" -mindepth 1 -maxdepth 1 -type f | read -r; then
2025-03-21T20:46:03.6516601Z   # TODO: Add a check here to test if on ec2 because if we're not on ec2 then this
2025-03-21T20:46:03.6517316Z   # upload will probably not work correctly
2025-03-21T20:46:03.6517817Z   upload_docs=1
2025-03-21T20:46:03.6518186Z fi
2025-03-21T20:46:03.6518641Z echo "upload-docs=${upload_docs}" >> "${GITHUB_OUTPUT}"
2025-03-21T20:46:03.6528148Z shell: /usr/bin/bash -e {0}
2025-03-21T20:46:03.6528557Z env:
2025-03-21T20:46:03.6528948Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:46:03.6529521Z   REPOSITORY: pytorch/executorch
2025-03-21T20:46:03.6529944Z   PR_NUMBER: 
2025-03-21T20:46:03.6532224Z   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}"

MODEL_NAME=ic4
BUILD_TOOL="cmake"
BACKEND=portable

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Build and test ExecuTorch
PYTHON_EXECUTABLE=python bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "${BACKEND}"

2025-03-21T20:46:03.6534793Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:46:03.6535640Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:46:03.6536418Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:46:03.6536992Z   UPLOAD_ARTIFACT_NAME: 
2025-03-21T20:46:03.6537354Z ##[endgroup]
2025-03-21T20:46:03.6652810Z Prepare all required actions
2025-03-21T20:46:03.6702617Z ##[group]Run ./test-infra/.github/actions/teardown-linux
2025-03-21T20:46:03.6703148Z with:
2025-03-21T20:46:03.6703438Z env:
2025-03-21T20:46:03.6703843Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:46:03.6704390Z   REPOSITORY: pytorch/executorch
2025-03-21T20:46:03.6704821Z   PR_NUMBER: 
2025-03-21T20:46:03.6707121Z   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}"

MODEL_NAME=ic4
BUILD_TOOL="cmake"
BACKEND=portable

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Build and test ExecuTorch
PYTHON_EXECUTABLE=python bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "${BACKEND}"

2025-03-21T20:46:03.6709965Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:46:03.6710836Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:46:03.6711641Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:46:03.6712203Z ##[endgroup]
2025-03-21T20:46:03.6747603Z ##[group]Run set -eou pipefail
2025-03-21T20:46:03.6748093Z set -eou pipefail
2025-03-21T20:46:03.6748496Z 
2025-03-21T20:46:03.6749015Z echo "Holding runner for 2 hours until all ssh sessions have logged out"
2025-03-21T20:46:03.6749676Z for _ in $(seq 1440); do
2025-03-21T20:46:03.6750153Z     # Break if no ssh session exists anymore
2025-03-21T20:46:03.6750662Z     if [ "$(who)" = "" ]; then
2025-03-21T20:46:03.6751113Z       break
2025-03-21T20:46:03.6751457Z     fi
2025-03-21T20:46:03.6751796Z     echo "."
2025-03-21T20:46:03.6752157Z     sleep 5
2025-03-21T20:46:03.6752505Z done
2025-03-21T20:46:03.6760293Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:46:03.6761054Z env:
2025-03-21T20:46:03.6761468Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:46:03.6762016Z   REPOSITORY: pytorch/executorch
2025-03-21T20:46:03.6762433Z   PR_NUMBER: 
2025-03-21T20:46:03.6764708Z   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}"

MODEL_NAME=ic4
BUILD_TOOL="cmake"
BACKEND=portable

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Build and test ExecuTorch
PYTHON_EXECUTABLE=python bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "${BACKEND}"

2025-03-21T20:46:03.6767410Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:46:03.6768258Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:46:03.6769038Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:46:03.6769616Z ##[endgroup]
2025-03-21T20:46:03.6799217Z Holding runner for 2 hours until all ssh sessions have logged out
2025-03-21T20:46:03.6867143Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-03-21T20:46:03.6867964Z # ignore expansion of "docker ps -q" since it could be empty
2025-03-21T20:46:03.6868571Z # shellcheck disable=SC2046
2025-03-21T20:46:03.6869053Z docker stop $(docker ps -q) || true
2025-03-21T20:46:03.6869558Z # Prune all of the docker images
2025-03-21T20:46:03.6870051Z docker system prune -af
2025-03-21T20:46:03.6877702Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:46:03.6878256Z env:
2025-03-21T20:46:03.6878663Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:46:03.6879206Z   REPOSITORY: pytorch/executorch
2025-03-21T20:46:03.6879623Z   PR_NUMBER: 
2025-03-21T20:46:03.6882241Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

MODEL_NAME=ic4
BUILD_TOOL="cmake"
BACKEND=portable

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Build and test ExecuTorch
PYTHON_EXECUTABLE=python bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "${BACKEND}"

2025-03-21T20:46:03.6884857Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:46:03.6885684Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:46:03.6886583Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:46:03.6887317Z ##[endgroup]
2025-03-21T20:46:14.1436723Z b9af08b8d89c
2025-03-21T20:46:14.4174021Z Deleted Containers:
2025-03-21T20:46:14.4175143Z b9af08b8d89c7710e8497aae0bf60ec987f5d104c6bde2af9e1b755f3f54f04e
2025-03-21T20:46:14.4176457Z 
2025-03-21T20:46:18.2159438Z Deleted Images:
2025-03-21T20:46:18.2160611Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc11-aarch64:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:46:18.2162488Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-gcc11-aarch64@sha256:90ee37cd9757fddd3d75376538c60943daae19d57cdefc60b3ce0330b2e29f5a
2025-03-21T20:46:18.2163993Z deleted: sha256:95eaa05a8ea865cf2b0b9d577b3fd29dc8c8240682d766d60d2cabe9935f09a4
2025-03-21T20:46:18.2164912Z deleted: sha256:09f32a7b4424aa2d53cb6746ad96c97d11402e32508800950db7d805db59fef5
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2025-03-21T20:46:18.2196831Z deleted: sha256:9006884ac58bd79a9522eda809d9360d21997a93e175d1d6b66b23dd64cc766e
2025-03-21T20:46:18.2197827Z deleted: sha256:934cb849abe06befc43afe3d1a738c8537ce109679f8556a7af52bfbf40438b2
2025-03-21T20:46:18.2198773Z deleted: sha256:824b004f2d714c62c347e3c1ea2ef132dd6cc9c2c8e2a33891027b3332970956
2025-03-21T20:46:18.2199689Z deleted: sha256:070a521224ad9aed21b31bdbffa143888d3a81eba63b08fd089618c6e5040186
2025-03-21T20:46:18.2200721Z deleted: sha256:59b223680ef978509f20faf6bf069866dfc02c422159347face0a7565d698526
2025-03-21T20:46:18.2201759Z untagged: arm64v8/alpine:latest
2025-03-21T20:46:18.2202580Z untagged: arm64v8/alpine@sha256:7a04ffc3dd9fae02928205d3fb9414decdee461f62fc2b56df7f4da063ec6bdf
2025-03-21T20:46:18.2203818Z deleted: sha256:8d591b0b7dea080ea3be9e12ae563eebf9869168ffced1cb25b2470a3d9fe15e
2025-03-21T20:46:18.2204749Z deleted: sha256:a16e98724c05975ee8c40d8fe389c3481373d34ab20a1cf52ea2accc43f71f4c
2025-03-21T20:46:18.2205385Z 
2025-03-21T20:46:18.2205640Z Total reclaimed space: 5.712GB
2025-03-21T20:46:18.2257004Z ##[group]Run set +e
2025-03-21T20:46:18.2257590Z set +e
2025-03-21T20:46:18.2257968Z if [[ "${NO_SUDO}" == "false" ]]; then
2025-03-21T20:46:18.2258875Z   sudo rm -rf "${GITHUB_WORKSPACE:?}/${REPOSITORY:?}"
2025-03-21T20:46:18.2259513Z else
2025-03-21T20:46:18.2260049Z   rm -rf "${GITHUB_WORKSPACE:?}/${REPOSITORY:?}"
2025-03-21T20:46:18.2260585Z fi
2025-03-21T20:46:18.2261017Z set -e
2025-03-21T20:46:18.2278491Z shell: /usr/bin/bash -e {0}
2025-03-21T20:46:18.2278910Z env:
2025-03-21T20:46:18.2279311Z   DOCKER_IMAGE: executorch-ubuntu-22.04-gcc11-aarch64
2025-03-21T20:46:18.2279872Z   REPOSITORY: pytorch/executorch
2025-03-21T20:46:18.2280287Z   PR_NUMBER: 
2025-03-21T20:46:18.2282820Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

MODEL_NAME=ic4
BUILD_TOOL="cmake"
BACKEND=portable

PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
# Build and test ExecuTorch
PYTHON_EXECUTABLE=python bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "${BACKEND}"

2025-03-21T20:46:18.2285661Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:46:18.2286715Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:46:18.2287498Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:46:18.2288064Z   NO_SUDO: false
2025-03-21T20:46:18.2288488Z ##[endgroup]
2025-03-21T20:46:19.5232879Z Post job cleanup.
2025-03-21T20:46:19.6753757Z Post job cleanup.
2025-03-21T20:46:19.8009477Z [command]/usr/bin/git version
2025-03-21T20:46:19.8064676Z git version 2.47.1
2025-03-21T20:46:19.8125227Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/ad58525a-be86-4a62-a6e4-107f9e1e1e5b' before making global git config changes
2025-03-21T20:46:19.8126673Z Adding repository directory to the temporary git global config as a safe directory
2025-03-21T20:46:19.8134008Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/executorch/executorch/test-infra
2025-03-21T20:46:19.8179896Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-03-21T20:46:19.8236694Z [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' || :"
2025-03-21T20:46:19.8578662Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-03-21T20:46:19.8605361Z http.https://github.com/.extraheader
2025-03-21T20:46:19.8624562Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader
2025-03-21T20:46:19.8661179Z [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' || :"
2025-03-21T20:46:19.9081935Z A job completed hook has been configured by the self-hosted runner administrator
2025-03-21T20:46:19.9119318Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh'
2025-03-21T20:46:19.9126152Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:46:19.9126720Z ##[endgroup]
2025-03-21T20:46:19.9231602Z [!ALERT!] Swap in detected! [!ALERT!]
2025-03-21T20:46:35.2942403Z [!ALERT!] Swap out detected [!ALERT!]
2025-03-21T20:46:58.6407415Z Cleaning up orphan processes