2025-03-21T20:17:46.2696675Z Current runner version: '2.323.0'
2025-03-21T20:17:46.2704519Z Runner name: 'i-0c1887ea1f4c407c0'
2025-03-21T20:17:46.2705479Z Runner group name: 'Default'
2025-03-21T20:17:46.2706496Z Machine name: 'ip-10-0-32-159'
2025-03-21T20:17:46.2709785Z ##[group]GITHUB_TOKEN Permissions
2025-03-21T20:17:46.2712509Z Contents: read
2025-03-21T20:17:46.2713323Z Metadata: read
2025-03-21T20:17:46.2713944Z ##[endgroup]
2025-03-21T20:17:46.2717346Z Secret source: Actions
2025-03-21T20:17:46.2718225Z Prepare workflow directory
2025-03-21T20:17:46.6072278Z Prepare all required actions
2025-03-21T20:17:46.6119293Z Getting action download info
2025-03-21T20:17:46.7928846Z Download action repository 'actions/checkout@v4' (SHA:11bd71901bbe5b1630ceea73d27597364c9af683)
2025-03-21T20:17:47.0481874Z Download action repository 'pytorch/pytorch@main' (SHA:c5deacc27a4a29fa141e179535d56d21a0eb734f)
2025-03-21T20:18:00.0238813Z Download action repository 'actions/download-artifact@v4' (SHA:95815c38cf2ff2164869cbab79da8d1f422bc89e)
2025-03-21T20:18:00.3470661Z Download action repository 'pmeier/pytest-results-action@v0.3.0' (SHA:a2c1430e2bddadbad9f49a6f9b879f062c6b19b1)
2025-03-21T20:18:00.4668316Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02)
2025-03-21T20:18:00.8825436Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-03-21T20:18:01.1386864Z Getting action download info
2025-03-21T20:18:01.2773083Z Uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@refs/heads/main (c1d92bc76c9d8ecf59b36ef10588c9605c8578d1)
2025-03-21T20:18:01.2775180Z ##[group] Inputs
2025-03-21T20:18:01.2777150Z   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=mobilebert
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}"

2025-03-21T20:18:01.2779613Z   timeout: 90
2025-03-21T20:18:01.2779890Z   runner: linux.2xlarge
2025-03-21T20:18:01.2780181Z   upload-artifact: 
2025-03-21T20:18:01.2780780Z   upload-artifact-to-s3: false
2025-03-21T20:18:01.2781113Z   download-artifact: 
2025-03-21T20:18:01.2781392Z   repository: 
2025-03-21T20:18:01.2781674Z   fetch-depth: 1
2025-03-21T20:18:01.2781935Z   submodules: true
2025-03-21T20:18:01.2782238Z   ref: be92d7d85cb7081ac0a544036da4096a4efa33a8
2025-03-21T20:18:01.2782659Z   test-infra-repository: pytorch/test-infra
2025-03-21T20:18:01.2783022Z   test-infra-ref: 
2025-03-21T20:18:01.2783343Z   docker-image: executorch-ubuntu-22.04-clang12
2025-03-21T20:18:01.2783738Z   docker-build-dir: .ci/docker
2025-03-21T20:18:01.2784064Z   gpu-arch-type: cpu
2025-03-21T20:18:01.2784330Z   gpu-arch-version: 
2025-03-21T20:18:01.2784606Z   job-name: linux-job
2025-03-21T20:18:01.2784905Z   continue-on-error: false
2025-03-21T20:18:01.2785217Z   binary-matrix: 
2025-03-21T20:18:01.2785478Z   run-with-docker: true
2025-03-21T20:18:01.2785761Z   secrets-env: 
2025-03-21T20:18:01.2786017Z   no-sudo: false
2025-03-21T20:18:01.2786301Z ##[endgroup]
2025-03-21T20:18:01.2786797Z Complete job name: test-models-linux (mobilebert, portable, linux.2xlarge) / linux-job
2025-03-21T20:18:01.3269960Z A job started hook has been configured by the self-hosted runner administrator
2025-03-21T20:18:01.3376613Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh'
2025-03-21T20:18:01.3385852Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:01.3386626Z ##[endgroup]
2025-03-21T20:18:03.0944675Z Runner Type: linux.2xlarge
2025-03-21T20:18:03.0945468Z Instance Type: c5.2xlarge
2025-03-21T20:18:03.0945995Z AMI Name: unknown
2025-03-21T20:18:03.0971633Z AMI ID: ami-08b5b3a93ed654d19
2025-03-21T20:18:08.7172758Z ##[group]Run set -euxo pipefail
2025-03-21T20:18:08.7173206Z set -euxo pipefail
2025-03-21T20:18:08.7173741Z if [[ "${NO_SUDO}" == "false" ]]; then
2025-03-21T20:18:08.7174172Z   echo "::group::Cleanup with-sudo debug output"
2025-03-21T20:18:08.7174605Z   sudo rm -rfv "${GITHUB_WORKSPACE}"
2025-03-21T20:18:08.7174957Z else
2025-03-21T20:18:08.7175250Z   echo "::group::Cleanup no-sudo debug output"
2025-03-21T20:18:08.7175656Z   rm -rfv "${GITHUB_WORKSPACE}"
2025-03-21T20:18:08.7175991Z fi
2025-03-21T20:18:08.7176225Z 
2025-03-21T20:18:08.7176499Z mkdir -p "${GITHUB_WORKSPACE}"
2025-03-21T20:18:08.7176838Z echo "::endgroup::"
2025-03-21T20:18:08.7185656Z shell: /usr/bin/bash -e {0}
2025-03-21T20:18:08.7185986Z env:
2025-03-21T20:18:08.7186282Z   DOCKER_IMAGE: executorch-ubuntu-22.04-clang12
2025-03-21T20:18:08.7186696Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:08.7187059Z   PR_NUMBER: 
2025-03-21T20:18:08.7188920Z   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=mobilebert
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}"

2025-03-21T20:18:08.7190848Z   NO_SUDO: false
2025-03-21T20:18:08.7191107Z ##[endgroup]
2025-03-21T20:18:08.7219007Z + [[ false == \f\a\l\s\e ]]
2025-03-21T20:18:08.7229620Z + echo '::group::Cleanup with-sudo debug output'
2025-03-21T20:18:08.7230183Z + sudo rm -rfv /home/ec2-user/actions-runner/_work/executorch/executorch
2025-03-21T20:18:08.7237120Z ##[group]Cleanup with-sudo debug output
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2025-03-21T20:18:08.9573629Z + mkdir -p /home/ec2-user/actions-runner/_work/executorch/executorch
2025-03-21T20:18:08.9574133Z + echo ::endgroup::
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2025-03-21T20:18:08.9904601Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/autoCcBot.test.ts'
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2025-03-21T20:18:08.9905668Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/autoLabelCodevTrunk.test.ts'
2025-03-21T20:18:08.9906288Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/cancelWorkflowsOnCloseBot.test.ts'
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2025-03-21T20:18:08.9930065Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/fixtures/push-trigger/pull_request.labeled.json'
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2025-03-21T20:18:08.9931786Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/fixtures/push-trigger'
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2025-03-21T20:18:08.9935597Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/labelCommands.test.ts'
2025-03-21T20:18:08.9936056Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/mergeCommands.test.ts'
2025-03-21T20:18:08.9936493Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/metricUtils.test.ts'
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2025-03-21T20:18:08.9937765Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/searchUtils.test.ts'
2025-03-21T20:18:08.9938140Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/setup.ts'
2025-03-21T20:18:08.9938659Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/stripApprovals.test.ts'
2025-03-21T20:18:08.9939104Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/subscriptions.test.ts'
2025-03-21T20:18:08.9939664Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/triggerCircleCIWorkflows.test.ts'
2025-03-21T20:18:08.9940181Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/triggerInductorTestsBot.test.ts'
2025-03-21T20:18:08.9940582Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/utils.test.ts'
2025-03-21T20:18:08.9940970Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/utils.ts'
2025-03-21T20:18:08.9941469Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/verifyDisableTestIssue.test.ts'
2025-03-21T20:18:08.9941952Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/wehookToDynamoBot.test.ts'
2025-03-21T20:18:08.9942334Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test'
2025-03-21T20:18:08.9942735Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/tsconfig.json'
2025-03-21T20:18:08.9943147Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/types/next-auth-d.ts'
2025-03-21T20:18:08.9943540Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/types'
2025-03-21T20:18:08.9943894Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/yarn.lock'
2025-03-21T20:18:08.9944242Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci'
2025-03-21T20:18:08.9944568Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra'
2025-03-21T20:18:08.9944872Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch'
2025-03-21T20:18:08.9945153Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch'
2025-03-21T20:18:08.9945821Z ##[endgroup]
2025-03-21T20:18:09.0051108Z ##[group]Run actions/checkout@v4
2025-03-21T20:18:09.0051518Z with:
2025-03-21T20:18:09.0051799Z   repository: pytorch/test-infra
2025-03-21T20:18:09.0052224Z   path: test-infra
2025-03-21T20:18:09.0052502Z   submodules: recursive
2025-03-21T20:18:09.0052947Z   token: ***
2025-03-21T20:18:09.0053197Z   ssh-strict: true
2025-03-21T20:18:09.0053457Z   ssh-user: git
2025-03-21T20:18:09.0053718Z   persist-credentials: true
2025-03-21T20:18:09.0054018Z   clean: true
2025-03-21T20:18:09.0054294Z   sparse-checkout-cone-mode: true
2025-03-21T20:18:09.0054739Z   fetch-depth: 1
2025-03-21T20:18:09.0054998Z   fetch-tags: false
2025-03-21T20:18:09.0055258Z   show-progress: true
2025-03-21T20:18:09.0055527Z   lfs: false
2025-03-21T20:18:09.0055784Z   set-safe-directory: true
2025-03-21T20:18:09.0056072Z env:
2025-03-21T20:18:09.0056355Z   DOCKER_IMAGE: executorch-ubuntu-22.04-clang12
2025-03-21T20:18:09.0056742Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:09.0057171Z   PR_NUMBER: 
2025-03-21T20:18:09.0059094Z   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=mobilebert
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}"

2025-03-21T20:18:09.0060988Z ##[endgroup]
2025-03-21T20:18:09.1256484Z Syncing repository: pytorch/test-infra
2025-03-21T20:18:09.1257728Z ##[group]Getting Git version info
2025-03-21T20:18:09.1258765Z Working directory is '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra'
2025-03-21T20:18:09.1260163Z [command]/usr/bin/git version
2025-03-21T20:18:09.1260715Z git version 2.47.1
2025-03-21T20:18:09.1275791Z ##[endgroup]
2025-03-21T20:18:09.1287019Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/8c9c6e95-b88d-4d60-b6b1-7eae24e1c984/.gitconfig'
2025-03-21T20:18:09.1296893Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/8c9c6e95-b88d-4d60-b6b1-7eae24e1c984' before making global git config changes
2025-03-21T20:18:09.1298854Z Adding repository directory to the temporary git global config as a safe directory
2025-03-21T20:18:09.1304384Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/executorch/executorch/test-infra
2025-03-21T20:18:09.1339721Z ##[group]Initializing the repository
2025-03-21T20:18:09.1344187Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/executorch/executorch/test-infra
2025-03-21T20:18:09.1376115Z hint: Using 'master' as the name for the initial branch. This default branch name
2025-03-21T20:18:09.1377313Z hint: is subject to change. To configure the initial branch name to use in all
2025-03-21T20:18:09.1378334Z hint: of your new repositories, which will suppress this warning, call:
2025-03-21T20:18:09.1379156Z hint:
2025-03-21T20:18:09.1379689Z hint: 	git config --global init.defaultBranch <name>
2025-03-21T20:18:09.1380364Z hint:
2025-03-21T20:18:09.1381010Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2025-03-21T20:18:09.1382079Z hint: 'development'. The just-created branch can be renamed via this command:
2025-03-21T20:18:09.1382929Z hint:
2025-03-21T20:18:09.1383346Z hint: 	git branch -m <name>
2025-03-21T20:18:09.1384460Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/.git/
2025-03-21T20:18:09.1390375Z [command]/usr/bin/git remote add origin https://github.com/pytorch/test-infra
2025-03-21T20:18:09.1416038Z ##[endgroup]
2025-03-21T20:18:09.1416879Z ##[group]Disabling automatic garbage collection
2025-03-21T20:18:09.1420707Z [command]/usr/bin/git config --local gc.auto 0
2025-03-21T20:18:09.1446042Z ##[endgroup]
2025-03-21T20:18:09.1446799Z ##[group]Setting up auth
2025-03-21T20:18:09.1453154Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-03-21T20:18:09.1481287Z [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' || :"
2025-03-21T20:18:09.1789423Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-03-21T20:18:09.1821295Z [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' || :"
2025-03-21T20:18:09.2123734Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-03-21T20:18:09.2168154Z ##[endgroup]
2025-03-21T20:18:09.2172089Z ##[group]Determining the default branch
2025-03-21T20:18:09.2172563Z Retrieving the default branch name
2025-03-21T20:18:09.4381421Z Default branch 'main'
2025-03-21T20:18:09.4382196Z ##[endgroup]
2025-03-21T20:18:09.4382691Z ##[group]Fetching the repository
2025-03-21T20:18:09.4388327Z [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
2025-03-21T20:18:09.7487878Z From https://github.com/pytorch/test-infra
2025-03-21T20:18:09.7488412Z  * [new branch]      main       -> origin/main
2025-03-21T20:18:09.7510594Z ##[endgroup]
2025-03-21T20:18:09.7511078Z ##[group]Determining the checkout info
2025-03-21T20:18:09.7512085Z ##[endgroup]
2025-03-21T20:18:09.7516556Z [command]/usr/bin/git sparse-checkout disable
2025-03-21T20:18:09.7550412Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig
2025-03-21T20:18:09.7580801Z ##[group]Checking out the ref
2025-03-21T20:18:09.7581725Z [command]/usr/bin/git checkout --progress --force -B main refs/remotes/origin/main
2025-03-21T20:18:09.8419047Z Switched to a new branch 'main'
2025-03-21T20:18:09.8420517Z branch 'main' set up to track 'origin/main'.
2025-03-21T20:18:09.8427656Z ##[endgroup]
2025-03-21T20:18:09.8428131Z ##[group]Setting up auth for fetching submodules
2025-03-21T20:18:09.8432864Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-03-21T20:18:09.8474882Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2025-03-21T20:18:09.8502431Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2025-03-21T20:18:09.8529226Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2025-03-21T20:18:09.8554817Z ##[endgroup]
2025-03-21T20:18:09.8555259Z ##[group]Fetching submodules
2025-03-21T20:18:09.8558114Z [command]/usr/bin/git submodule sync --recursive
2025-03-21T20:18:09.8824803Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --depth=1 --recursive
2025-03-21T20:18:09.9087011Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0
2025-03-21T20:18:09.9347843Z ##[endgroup]
2025-03-21T20:18:09.9348350Z ##[group]Persisting credentials for submodules
2025-03-21T20:18:09.9353615Z [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' || :"
2025-03-21T20:18:09.9615306Z [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"
2025-03-21T20:18:09.9875566Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:'
2025-03-21T20:18:10.0138865Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2025-03-21T20:18:10.0397302Z ##[endgroup]
2025-03-21T20:18:10.0434073Z [command]/usr/bin/git log -1 --format=%H
2025-03-21T20:18:10.0456179Z c1d92bc76c9d8ecf59b36ef10588c9605c8578d1
2025-03-21T20:18:10.0658300Z Prepare all required actions
2025-03-21T20:18:10.0658858Z Getting action download info
2025-03-21T20:18:10.1785557Z Download action repository 'pytorch/test-infra@main' (SHA:c1d92bc76c9d8ecf59b36ef10588c9605c8578d1)
2025-03-21T20:18:11.5529582Z Getting action download info
2025-03-21T20:18:11.6525069Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482)
2025-03-21T20:18:11.7978487Z ##[group]Run ./test-infra/.github/actions/setup-linux
2025-03-21T20:18:11.7978980Z env:
2025-03-21T20:18:11.7979470Z   DOCKER_IMAGE: executorch-ubuntu-22.04-clang12
2025-03-21T20:18:11.7979981Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:11.7980346Z   PR_NUMBER: 
2025-03-21T20:18:11.7982426Z   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=mobilebert
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}"

2025-03-21T20:18:11.7984387Z ##[endgroup]
2025-03-21T20:18:11.8080841Z ##[group]Run set -euo pipefail
2025-03-21T20:18:11.8081256Z set -euo pipefail
2025-03-21T20:18:11.8081594Z function get_ec2_metadata() {
2025-03-21T20:18:11.8082009Z   # Pulled from instance metadata endpoint for EC2
2025-03-21T20:18:11.8082714Z   # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
2025-03-21T20:18:11.8083334Z   category=$1
2025-03-21T20:18:11.8084290Z   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}"
2025-03-21T20:18:11.8085465Z }
2025-03-21T20:18:11.8085783Z echo "ami-id: $(get_ec2_metadata ami-id)"
2025-03-21T20:18:11.8086257Z echo "instance-id: $(get_ec2_metadata instance-id)"
2025-03-21T20:18:11.8086771Z echo "instance-type: $(get_ec2_metadata instance-type)"
2025-03-21T20:18:11.8087240Z echo "system info $(uname -a)"
2025-03-21T20:18:11.8093410Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:11.8093835Z env:
2025-03-21T20:18:11.8094131Z   DOCKER_IMAGE: executorch-ubuntu-22.04-clang12
2025-03-21T20:18:11.8094535Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:11.8094847Z   PR_NUMBER: 
2025-03-21T20:18:11.8096638Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

MODEL_NAME=mobilebert
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}"

2025-03-21T20:18:11.8098493Z ##[endgroup]
2025-03-21T20:18:11.8233731Z ami-id: ami-08b5b3a93ed654d19
2025-03-21T20:18:11.8326970Z instance-id: i-0c1887ea1f4c407c0
2025-03-21T20:18:11.8413875Z instance-type: c5.2xlarge
2025-03-21T20:18:11.8423735Z system info Linux ip-10-0-32-159.ec2.internal 6.1.129-138.220.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Feb 25 22:18:43 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux
2025-03-21T20:18:11.8461150Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-03-21T20:18:11.8462157Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-03-21T20:18:11.8468496Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:11.8468908Z env:
2025-03-21T20:18:11.8469394Z   DOCKER_IMAGE: executorch-ubuntu-22.04-clang12
2025-03-21T20:18:11.8469807Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:11.8470132Z   PR_NUMBER: 
2025-03-21T20:18:11.8471918Z   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=mobilebert
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}"

2025-03-21T20:18:11.8473889Z ##[endgroup]
2025-03-21T20:18:11.8549577Z ##[group]Run if systemctl is-active --quiet docker; then
2025-03-21T20:18:11.8550079Z if systemctl is-active --quiet docker; then
2025-03-21T20:18:11.8550507Z     echo "Docker daemon is running...";
2025-03-21T20:18:11.8550876Z else
2025-03-21T20:18:11.8551282Z     echo "Starting docker deamon..." && sudo systemctl start docker;
2025-03-21T20:18:11.8551747Z fi
2025-03-21T20:18:11.8557381Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:11.8557810Z env:
2025-03-21T20:18:11.8558097Z   DOCKER_IMAGE: executorch-ubuntu-22.04-clang12
2025-03-21T20:18:11.8558502Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:11.8558826Z   PR_NUMBER: 
2025-03-21T20:18:11.8560606Z   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=mobilebert
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}"

2025-03-21T20:18:11.8562606Z ##[endgroup]
2025-03-21T20:18:11.8632300Z Docker daemon is running...
2025-03-21T20:18:11.8682510Z ##[group]Run AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\")
2025-03-21T20:18:11.8683213Z AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\")
2025-03-21T20:18:11.8683761Z retry () { "$@"  || (sleep 1 && "$@") || (sleep 2 && "$@") }
2025-03-21T20:18:11.8684420Z retry aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \
2025-03-21T20:18:11.8685205Z     --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com"
2025-03-21T20:18:11.8690812Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:11.8691225Z env:
2025-03-21T20:18:11.8691517Z   DOCKER_IMAGE: executorch-ubuntu-22.04-clang12
2025-03-21T20:18:11.8691913Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:11.8692215Z   PR_NUMBER: 
2025-03-21T20:18:11.8694012Z   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=mobilebert
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}"

2025-03-21T20:18:11.8695862Z   AWS_RETRY_MODE: standard
2025-03-21T20:18:11.8696150Z   AWS_MAX_ATTEMPTS: 5
2025-03-21T20:18:11.8696431Z   AWS_DEFAULT_REGION: us-east-1
2025-03-21T20:18:11.8696735Z ##[endgroup]
2025-03-21T20:18:12.9358098Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-03-21T20:18:12.9358780Z Configure a credential helper to remove this warning. See
2025-03-21T20:18:12.9359408Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-03-21T20:18:12.9359932Z 
2025-03-21T20:18:12.9360163Z Login Succeeded
2025-03-21T20:18:12.9405246Z ##[group]Run env | grep '^GITHUB' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}"
2025-03-21T20:18:12.9406079Z env | grep '^GITHUB' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}"
2025-03-21T20:18:12.9406647Z env | grep '^CI' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}"
2025-03-21T20:18:12.9412724Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:12.9413138Z env:
2025-03-21T20:18:12.9413447Z   DOCKER_IMAGE: executorch-ubuntu-22.04-clang12
2025-03-21T20:18:12.9413856Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:12.9414182Z   PR_NUMBER: 
2025-03-21T20:18:12.9415972Z   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=mobilebert
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}"

2025-03-21T20:18:12.9417834Z ##[endgroup]
2025-03-21T20:18:12.9502760Z ##[group]Run RUNNER_ARTIFACT_DIR="${RUNNER_TEMP}/artifacts"
2025-03-21T20:18:12.9503316Z RUNNER_ARTIFACT_DIR="${RUNNER_TEMP}/artifacts"
2025-03-21T20:18:12.9503767Z sudo rm -rf "${RUNNER_ARTIFACT_DIR}"
2025-03-21T20:18:12.9504178Z mkdir -p "${RUNNER_ARTIFACT_DIR}"
2025-03-21T20:18:12.9504687Z echo "RUNNER_ARTIFACT_DIR=${RUNNER_ARTIFACT_DIR}" >> "${GITHUB_ENV}"
2025-03-21T20:18:12.9505154Z 
2025-03-21T20:18:12.9505500Z RUNNER_TEST_RESULTS_DIR="${RUNNER_TEMP}/test-results"
2025-03-21T20:18:12.9505974Z sudo rm -rf "${RUNNER_TEST_RESULTS_DIR}"
2025-03-21T20:18:12.9506388Z mkdir -p "${RUNNER_TEST_RESULTS_DIR}"
2025-03-21T20:18:12.9506917Z echo "RUNNER_TEST_RESULTS_DIR=${RUNNER_TEST_RESULTS_DIR}" >> "${GITHUB_ENV}"
2025-03-21T20:18:12.9507551Z 
2025-03-21T20:18:12.9507836Z RUNNER_DOCS_DIR="${RUNNER_TEMP}/docs"
2025-03-21T20:18:12.9508229Z sudo rm -rf "${RUNNER_DOCS_DIR}"
2025-03-21T20:18:12.9508606Z mkdir -p "${RUNNER_DOCS_DIR}"
2025-03-21T20:18:12.9509056Z echo "RUNNER_DOCS_DIR=${RUNNER_DOCS_DIR}" >> "${GITHUB_ENV}"
2025-03-21T20:18:12.9515163Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:12.9515573Z env:
2025-03-21T20:18:12.9515876Z   DOCKER_IMAGE: executorch-ubuntu-22.04-clang12
2025-03-21T20:18:12.9516298Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:12.9516620Z   PR_NUMBER: 
2025-03-21T20:18:12.9518421Z   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=mobilebert
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}"

2025-03-21T20:18:12.9520285Z ##[endgroup]
2025-03-21T20:18:13.4314156Z ##[group]Run needs=0
2025-03-21T20:18:13.4314470Z needs=0
2025-03-21T20:18:13.4314876Z if lspci -v | grep -e 'controller.*NVIDIA' >/dev/null 2>/dev/null; then
2025-03-21T20:18:13.4315353Z   needs=1
2025-03-21T20:18:13.4315611Z fi
2025-03-21T20:18:13.4315894Z echo "does=${needs}" >> $GITHUB_OUTPUT
2025-03-21T20:18:13.4321823Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:13.4322239Z env:
2025-03-21T20:18:13.4322522Z   DOCKER_IMAGE: executorch-ubuntu-22.04-clang12
2025-03-21T20:18:13.4322918Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:13.4323234Z   PR_NUMBER: 
2025-03-21T20:18:13.4325179Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

MODEL_NAME=mobilebert
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}"

2025-03-21T20:18:13.4327182Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:13.4327822Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:13.4328417Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:13.4328833Z ##[endgroup]
2025-03-21T20:18:13.4524486Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-03-21T20:18:13.4525115Z # ignore expansion of "docker ps -q" since it could be empty
2025-03-21T20:18:13.4525593Z # shellcheck disable=SC2046
2025-03-21T20:18:13.4525959Z docker stop $(docker ps -q) || true
2025-03-21T20:18:13.4526365Z # Prune all of the docker images
2025-03-21T20:18:13.4526736Z docker system prune -af
2025-03-21T20:18:13.4532345Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:13.4532762Z env:
2025-03-21T20:18:13.4533044Z   DOCKER_IMAGE: executorch-ubuntu-22.04-clang12
2025-03-21T20:18:13.4533444Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:13.4533767Z   PR_NUMBER: 
2025-03-21T20:18:13.4535543Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

MODEL_NAME=mobilebert
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}"

2025-03-21T20:18:13.4537530Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:13.4538322Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:13.4538940Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:13.4539381Z ##[endgroup]
2025-03-21T20:18:13.4764359Z "docker stop" requires at least 1 argument.
2025-03-21T20:18:13.4764779Z See 'docker stop --help'.
2025-03-21T20:18:13.4764977Z 
2025-03-21T20:18:13.4765172Z Usage:  docker stop [OPTIONS] CONTAINER [CONTAINER...]
2025-03-21T20:18:13.4765463Z 
2025-03-21T20:18:13.4765587Z Stop one or more running containers
2025-03-21T20:18:13.4909440Z Total reclaimed space: 0B
2025-03-21T20:18:13.4984814Z ##[group]Run ./test-infra/.github/actions/setup-ssh
2025-03-21T20:18:13.4985230Z with:
2025-03-21T20:18:13.4985692Z   github-secret: ***
2025-03-21T20:18:13.4986437Z   instructions: All testing is done inside the container, to start an interactive session run:
   docker exec -it $(docker container ps --format '{{.ID}}') bash

2025-03-21T20:18:13.4987247Z   activate-with-label: false
2025-03-21T20:18:13.4987570Z   label: with-ssh
2025-03-21T20:18:13.4987851Z   remove-existing-keys: true
2025-03-21T20:18:13.4988162Z   fail-silently: true
2025-03-21T20:18:13.4988418Z env:
2025-03-21T20:18:13.4988704Z   DOCKER_IMAGE: executorch-ubuntu-22.04-clang12
2025-03-21T20:18:13.4989102Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:13.4989414Z   PR_NUMBER: 
2025-03-21T20:18:13.4991225Z   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=mobilebert
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}"

2025-03-21T20:18:13.4993321Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:13.4993941Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:13.4994539Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:13.4994964Z ##[endgroup]
2025-03-21T20:18:13.6081781Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info.
2025-03-21T20:18:13.6083689Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys
2025-03-21T20:18:13.6203222Z ##[group]Run actions/checkout@v4
2025-03-21T20:18:13.6203592Z with:
2025-03-21T20:18:13.6203854Z   repository: pytorch/executorch
2025-03-21T20:18:13.6204223Z   ref: be92d7d85cb7081ac0a544036da4096a4efa33a8
2025-03-21T20:18:13.6204601Z   path: pytorch/executorch
2025-03-21T20:18:13.6221699Z   fetch-depth: 1
2025-03-21T20:18:13.6221982Z   submodules: true
2025-03-21T20:18:13.6222424Z   token: ***
2025-03-21T20:18:13.6222684Z   ssh-strict: true
2025-03-21T20:18:13.6222937Z   ssh-user: git
2025-03-21T20:18:13.6223218Z   persist-credentials: true
2025-03-21T20:18:13.6223544Z   clean: true
2025-03-21T20:18:13.6223826Z   sparse-checkout-cone-mode: true
2025-03-21T20:18:13.6224161Z   fetch-tags: false
2025-03-21T20:18:13.6224421Z   show-progress: true
2025-03-21T20:18:13.6224694Z   lfs: false
2025-03-21T20:18:13.6224962Z   set-safe-directory: true
2025-03-21T20:18:13.6225266Z env:
2025-03-21T20:18:13.6225555Z   DOCKER_IMAGE: executorch-ubuntu-22.04-clang12
2025-03-21T20:18:13.6225996Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:13.6226317Z   PR_NUMBER: 
2025-03-21T20:18:13.6228093Z   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=mobilebert
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}"

2025-03-21T20:18:13.6230275Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:13.6230906Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:13.6231509Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:13.6231945Z ##[endgroup]
2025-03-21T20:18:13.7198260Z Syncing repository: pytorch/executorch
2025-03-21T20:18:13.7205134Z ##[group]Getting Git version info
2025-03-21T20:18:13.7205774Z Working directory is '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch'
2025-03-21T20:18:13.7231493Z [command]/usr/bin/git version
2025-03-21T20:18:13.7265554Z git version 2.47.1
2025-03-21T20:18:13.7290296Z ##[endgroup]
2025-03-21T20:18:13.7297691Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/d5ca48d3-a7f5-4f61-92ce-a8d5d506cb4d/.gitconfig'
2025-03-21T20:18:13.7306357Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/d5ca48d3-a7f5-4f61-92ce-a8d5d506cb4d' before making global git config changes
2025-03-21T20:18:13.7307390Z Adding repository directory to the temporary git global config as a safe directory
2025-03-21T20:18:13.7311722Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch
2025-03-21T20:18:13.7351830Z ##[group]Initializing the repository
2025-03-21T20:18:13.7355680Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch
2025-03-21T20:18:13.7386870Z hint: Using 'master' as the name for the initial branch. This default branch name
2025-03-21T20:18:13.7387530Z hint: is subject to change. To configure the initial branch name to use in all
2025-03-21T20:18:13.7388137Z hint: of your new repositories, which will suppress this warning, call:
2025-03-21T20:18:13.7388599Z hint:
2025-03-21T20:18:13.7388910Z hint: 	git config --global init.defaultBranch <name>
2025-03-21T20:18:13.7389295Z hint:
2025-03-21T20:18:13.7389659Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2025-03-21T20:18:13.7390270Z hint: 'development'. The just-created branch can be renamed via this command:
2025-03-21T20:18:13.7390750Z hint:
2025-03-21T20:18:13.7390997Z hint: 	git branch -m <name>
2025-03-21T20:18:13.7391653Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/
2025-03-21T20:18:13.7397144Z [command]/usr/bin/git remote add origin https://github.com/pytorch/executorch
2025-03-21T20:18:13.7422189Z ##[endgroup]
2025-03-21T20:18:13.7422728Z ##[group]Disabling automatic garbage collection
2025-03-21T20:18:13.7425701Z [command]/usr/bin/git config --local gc.auto 0
2025-03-21T20:18:13.7449741Z ##[endgroup]
2025-03-21T20:18:13.7450166Z ##[group]Setting up auth
2025-03-21T20:18:13.7455573Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-03-21T20:18:13.7480329Z [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' || :"
2025-03-21T20:18:13.7738448Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-03-21T20:18:13.7763831Z [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' || :"
2025-03-21T20:18:13.8020043Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-03-21T20:18:13.8061077Z ##[endgroup]
2025-03-21T20:18:13.8061544Z ##[group]Fetching the repository
2025-03-21T20:18:13.8068441Z [command]/usr/bin/git -c protocol.version=2 fetch --no-tags --prune --no-recurse-submodules --depth=1 origin be92d7d85cb7081ac0a544036da4096a4efa33a8
2025-03-21T20:18:15.2437414Z From https://github.com/pytorch/executorch
2025-03-21T20:18:15.2438864Z  * branch            be92d7d85cb7081ac0a544036da4096a4efa33a8 -> FETCH_HEAD
2025-03-21T20:18:15.2459318Z ##[endgroup]
2025-03-21T20:18:15.2460201Z ##[group]Determining the checkout info
2025-03-21T20:18:15.2462657Z ##[endgroup]
2025-03-21T20:18:15.2467897Z [command]/usr/bin/git sparse-checkout disable
2025-03-21T20:18:15.2499903Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig
2025-03-21T20:18:15.2524875Z ##[group]Checking out the ref
2025-03-21T20:18:15.2529012Z [command]/usr/bin/git checkout --progress --force be92d7d85cb7081ac0a544036da4096a4efa33a8
2025-03-21T20:18:15.7332001Z Note: switching to 'be92d7d85cb7081ac0a544036da4096a4efa33a8'.
2025-03-21T20:18:15.7332387Z 
2025-03-21T20:18:15.7332631Z You are in 'detached HEAD' state. You can look around, make experimental
2025-03-21T20:18:15.7333229Z changes and commit them, and you can discard any commits you make in this
2025-03-21T20:18:15.7333836Z state without impacting any branches by switching back to a branch.
2025-03-21T20:18:15.7334207Z 
2025-03-21T20:18:15.7334443Z If you want to create a new branch to retain commits you create, you may
2025-03-21T20:18:15.7334984Z do so (now or later) by using -c with the switch command. Example:
2025-03-21T20:18:15.7335307Z 
2025-03-21T20:18:15.7335434Z   git switch -c <new-branch-name>
2025-03-21T20:18:15.7335663Z 
2025-03-21T20:18:15.7335786Z Or undo this operation with:
2025-03-21T20:18:15.7335994Z 
2025-03-21T20:18:15.7336107Z   git switch -
2025-03-21T20:18:15.7336256Z 
2025-03-21T20:18:15.7336526Z Turn off this advice by setting config variable advice.detachedHead to false
2025-03-21T20:18:15.7336893Z 
2025-03-21T20:18:15.7337080Z HEAD is now at be92d7d [Android] Use new Llm package API
2025-03-21T20:18:15.7377105Z ##[endgroup]
2025-03-21T20:18:15.7377829Z ##[group]Setting up auth for fetching submodules
2025-03-21T20:18:15.7383926Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-03-21T20:18:15.7426613Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2025-03-21T20:18:15.7452162Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2025-03-21T20:18:15.7478284Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2025-03-21T20:18:15.7500252Z ##[endgroup]
2025-03-21T20:18:15.7500948Z ##[group]Fetching submodules
2025-03-21T20:18:15.7505143Z [command]/usr/bin/git submodule sync
2025-03-21T20:18:15.7774868Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --depth=1
2025-03-21T20:18:15.8036784Z 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'
2025-03-21T20:18:15.8038788Z 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'
2025-03-21T20:18:15.8041729Z Submodule 'backends/cadence/utils/FACTO' (https://github.com/pytorch-labs/FACTO.git) registered for path 'backends/cadence/utils/FACTO'
2025-03-21T20:18:15.8047024Z Submodule 'backends/vulkan/third-party/Vulkan-Headers' (https://github.com/KhronosGroup/Vulkan-Headers) registered for path 'backends/vulkan/third-party/Vulkan-Headers'
2025-03-21T20:18:15.8051272Z Submodule 'backends/vulkan/third-party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'backends/vulkan/third-party/VulkanMemoryAllocator'
2025-03-21T20:18:15.8054976Z Submodule 'backends/vulkan/third-party/volk' (https://github.com/zeux/volk) registered for path 'backends/vulkan/third-party/volk'
2025-03-21T20:18:15.8058045Z Submodule 'backends/xnnpack/third-party/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'backends/xnnpack/third-party/FP16'
2025-03-21T20:18:15.8061546Z Submodule 'backends/xnnpack/third-party/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'backends/xnnpack/third-party/FXdiv'
2025-03-21T20:18:15.8064341Z Submodule 'backends/xnnpack/third-party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'backends/xnnpack/third-party/XNNPACK'
2025-03-21T20:18:15.8067158Z Submodule 'backends/xnnpack/third-party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'backends/xnnpack/third-party/cpuinfo'
2025-03-21T20:18:15.8070514Z Submodule 'backends/xnnpack/third-party/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'backends/xnnpack/third-party/pthreadpool'
2025-03-21T20:18:15.8073782Z Submodule 'extension/llm/tokenizers' (https://github.com/pytorch-labs/tokenizers.git) registered for path 'extension/llm/tokenizers'
2025-03-21T20:18:15.8077300Z Submodule 'kernels/optimized/third-party/eigen' (https://gitlab.com/libeigen/eigen.git) registered for path 'kernels/optimized/third-party/eigen'
2025-03-21T20:18:15.8080634Z Submodule 'shim' (https://github.com/facebook/buck2-shims-meta) registered for path 'shim'
2025-03-21T20:18:15.8084107Z Submodule 'third-party/ao' (https://github.com/pytorch/ao.git) registered for path 'third-party/ao'
2025-03-21T20:18:15.8087848Z Submodule 'third-party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third-party/flatbuffers'
2025-03-21T20:18:15.8093162Z Submodule 'third-party/flatcc' (https://github.com/dvidelabs/flatcc.git) registered for path 'third-party/flatcc'
2025-03-21T20:18:15.8097083Z Submodule 'third-party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third-party/gflags'
2025-03-21T20:18:15.8101070Z Submodule 'third-party/googletest' (https://github.com/google/googletest.git) registered for path 'third-party/googletest'
2025-03-21T20:18:15.8105453Z Submodule 'third-party/ios-cmake' (https://github.com/leetal/ios-cmake) registered for path 'third-party/ios-cmake'
2025-03-21T20:18:15.8109567Z Submodule 'third-party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third-party/pocketfft'
2025-03-21T20:18:15.8113986Z Submodule 'third-party/prelude' (https://github.com/facebook/buck2-prelude.git) registered for path 'third-party/prelude'
2025-03-21T20:18:15.8118199Z Submodule 'third-party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third-party/pybind11'
2025-03-21T20:18:15.8146895Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/arm/third-party/ethos-u-core-driver'...
2025-03-21T20:18:16.0674494Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/xnnpack/third-party/FP16'...
2025-03-21T20:18:16.0676178Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/arm/third-party/serialization_lib'...
2025-03-21T20:18:16.0677584Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/xnnpack/third-party/FXdiv'...
2025-03-21T20:18:16.0678777Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/vulkan/third-party/volk'...
2025-03-21T20:18:16.0679976Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/cadence/utils/FACTO'...
2025-03-21T20:18:16.0707627Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/xnnpack/third-party/cpuinfo'...
2025-03-21T20:18:16.4040290Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/vulkan/third-party/VulkanMemoryAllocator'...
2025-03-21T20:18:16.4041872Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/vulkan/third-party/Vulkan-Headers'...
2025-03-21T20:18:16.4043131Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/xnnpack/third-party/pthreadpool'...
2025-03-21T20:18:16.4044829Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/extension/llm/tokenizers'...
2025-03-21T20:18:16.4046125Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/shim'...
2025-03-21T20:18:16.4067907Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/kernels/optimized/third-party/eigen'...
2025-03-21T20:18:16.8919922Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/ao'...
2025-03-21T20:18:16.8921008Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/flatcc'...
2025-03-21T20:18:16.8922054Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/gflags'...
2025-03-21T20:18:16.8923109Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/flatbuffers'...
2025-03-21T20:18:16.8924298Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/googletest'...
2025-03-21T20:18:16.8925445Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/ios-cmake'...
2025-03-21T20:18:16.8926530Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/pocketfft'...
2025-03-21T20:18:16.8927704Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/pybind11'...
2025-03-21T20:18:16.8928874Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/xnnpack/third-party/XNNPACK'...
2025-03-21T20:18:16.9457604Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/prelude'...
2025-03-21T20:18:17.4381090Z From https://github.com/pytorch-labs/ethos-u-core-driver-mirror
2025-03-21T20:18:17.4381712Z  * branch            78df0006c5fa667150d3ee35db7bde1d3f6f58c7 -> FETCH_HEAD
2025-03-21T20:18:17.4496130Z Submodule path 'backends/arm/third-party/ethos-u-core-driver': checked out '78df0006c5fa667150d3ee35db7bde1d3f6f58c7'
2025-03-21T20:18:18.0465408Z From https://github.com/pytorch-labs/tosa_serialization_lib-mirror
2025-03-21T20:18:18.0466053Z  * branch            187af0d41fe75d08d2a7ec84c1b4d24b9b641ed2 -> FETCH_HEAD
2025-03-21T20:18:18.0577394Z Submodule path 'backends/arm/third-party/serialization_lib': checked out '187af0d41fe75d08d2a7ec84c1b4d24b9b641ed2'
2025-03-21T20:18:18.0670519Z Submodule path 'backends/cadence/utils/FACTO': checked out '1db37fc79d0d59638cbb794fa49d878aafc24461'
2025-03-21T20:18:18.7955685Z From https://github.com/KhronosGroup/Vulkan-Headers
2025-03-21T20:18:18.7956268Z  * branch            0c5928795a66e93f65e5e68a36d8daa79a209dc2 -> FETCH_HEAD
2025-03-21T20:18:18.8478835Z Submodule path 'backends/vulkan/third-party/Vulkan-Headers': checked out '0c5928795a66e93f65e5e68a36d8daa79a209dc2'
2025-03-21T20:18:19.4359246Z From https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator
2025-03-21T20:18:19.4359944Z  * branch            a6bfc237255a6bac1513f7c1ebde6d8aed6b5191 -> FETCH_HEAD
2025-03-21T20:18:19.4684222Z Submodule path 'backends/vulkan/third-party/VulkanMemoryAllocator': checked out 'a6bfc237255a6bac1513f7c1ebde6d8aed6b5191'
2025-03-21T20:18:19.8968412Z From https://github.com/zeux/volk
2025-03-21T20:18:19.8968974Z  * branch            b3bc21e584f97400b6884cb2a541a56c6a5ddba3 -> FETCH_HEAD
2025-03-21T20:18:19.9045641Z Submodule path 'backends/vulkan/third-party/volk': checked out 'b3bc21e584f97400b6884cb2a541a56c6a5ddba3'
2025-03-21T20:18:20.3029359Z From https://github.com/Maratyszcza/FP16
2025-03-21T20:18:20.3029914Z  * branch            4dfe081cf6bcd15db339cf2680b9281b8451eeb3 -> FETCH_HEAD
2025-03-21T20:18:20.3120773Z Submodule path 'backends/xnnpack/third-party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3'
2025-03-21T20:18:20.8273639Z From https://github.com/Maratyszcza/FXdiv
2025-03-21T20:18:20.8274190Z  * branch            b408327ac2a15ec3e43352421954f5b1967701d1 -> FETCH_HEAD
2025-03-21T20:18:20.8333365Z Submodule path 'backends/xnnpack/third-party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1'
2025-03-21T20:18:22.4500710Z From https://github.com/google/XNNPACK
2025-03-21T20:18:22.4501255Z  * branch              4ea82e595b36106653175dcb04b2aa532660d0d8 -> FETCH_HEAD
2025-03-21T20:18:23.0587121Z Submodule path 'backends/xnnpack/third-party/XNNPACK': checked out '4ea82e595b36106653175dcb04b2aa532660d0d8'
2025-03-21T20:18:23.5336714Z From https://github.com/pytorch/cpuinfo
2025-03-21T20:18:23.5337273Z  * branch            1e83a2fdd3102f65c6f1fb602c1b320486218a99 -> FETCH_HEAD
2025-03-21T20:18:23.6210699Z Submodule path 'backends/xnnpack/third-party/cpuinfo': checked out '1e83a2fdd3102f65c6f1fb602c1b320486218a99'
2025-03-21T20:18:24.0007800Z From https://github.com/Maratyszcza/pthreadpool
2025-03-21T20:18:24.0008365Z  * branch            4fe0e1e183925bf8cfa6aae24237e724a96479b8 -> FETCH_HEAD
2025-03-21T20:18:24.0095856Z Submodule path 'backends/xnnpack/third-party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8'
2025-03-21T20:18:24.4632733Z From https://github.com/pytorch-labs/tokenizers
2025-03-21T20:18:24.4633411Z  * branch            d70f5a760552d8d3bb288cdd93eebde477bb6eb0 -> FETCH_HEAD
2025-03-21T20:18:24.4880145Z Submodule path 'extension/llm/tokenizers': checked out 'd70f5a760552d8d3bb288cdd93eebde477bb6eb0'
2025-03-21T20:18:26.1580048Z From https://gitlab.com/libeigen/eigen
2025-03-21T20:18:26.1580607Z  * branch            a39ade4ccf99df845ec85c580fbbb324f71952fa -> FETCH_HEAD
2025-03-21T20:18:26.2863917Z Submodule path 'kernels/optimized/third-party/eigen': checked out 'a39ade4ccf99df845ec85c580fbbb324f71952fa'
2025-03-21T20:18:26.3040790Z Submodule path 'shim': checked out 'cf6a954aae4bee7b4515e13475878460115027d1'
2025-03-21T20:18:26.7919207Z From https://github.com/pytorch/ao
2025-03-21T20:18:26.7919750Z  * branch            64bcf4c25755a783685ba7383000b3bf722523c1 -> FETCH_HEAD
2025-03-21T20:18:26.8613570Z Submodule path 'third-party/ao': checked out '64bcf4c25755a783685ba7383000b3bf722523c1'
2025-03-21T20:18:27.4649323Z From https://github.com/google/flatbuffers
2025-03-21T20:18:27.4650018Z  * branch            595bf0007ab1929570c7671f091313c8fc20644e -> FETCH_HEAD
2025-03-21T20:18:27.5708574Z Submodule path 'third-party/flatbuffers': checked out '595bf0007ab1929570c7671f091313c8fc20644e'
2025-03-21T20:18:28.0363173Z From https://github.com/dvidelabs/flatcc
2025-03-21T20:18:28.0363730Z  * branch            896db54787e8b730a6be482c69324751f3f5f117 -> FETCH_HEAD
2025-03-21T20:18:28.0616534Z Submodule path 'third-party/flatcc': checked out '896db54787e8b730a6be482c69324751f3f5f117'
2025-03-21T20:18:28.5296093Z From https://github.com/gflags/gflags
2025-03-21T20:18:28.5296636Z  * branch            a738fdf9338412f83ab3f26f31ac11ed3f3ec4bd -> FETCH_HEAD
2025-03-21T20:18:28.5388661Z Submodule path 'third-party/gflags': checked out 'a738fdf9338412f83ab3f26f31ac11ed3f3ec4bd'
2025-03-21T20:18:29.1470064Z From https://github.com/google/googletest
2025-03-21T20:18:29.1470649Z  * branch            e2239ee6043f73722e7aa812a459f54a28552929 -> FETCH_HEAD
2025-03-21T20:18:29.1831957Z Submodule path 'third-party/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-03-21T20:18:29.5839383Z From https://github.com/leetal/ios-cmake
2025-03-21T20:18:29.5840045Z  * branch            06465b27698424cf4a04a5ca4904d50a3c966c45 -> FETCH_HEAD
2025-03-21T20:18:29.5917620Z Submodule path 'third-party/ios-cmake': checked out '06465b27698424cf4a04a5ca4904d50a3c966c45'
2025-03-21T20:18:29.5990832Z Submodule path 'third-party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa'
2025-03-21T20:18:30.1825075Z From https://github.com/facebook/buck2-prelude
2025-03-21T20:18:30.1825642Z  * branch            851d3f09c452937fc5adef27e2c50f7f304f1646 -> FETCH_HEAD
2025-03-21T20:18:30.2603792Z Submodule path 'third-party/prelude': checked out '851d3f09c452937fc5adef27e2c50f7f304f1646'
2025-03-21T20:18:30.8218945Z From https://github.com/pybind/pybind11
2025-03-21T20:18:30.8219729Z  * branch            a2e59f0e7065404b44dfe92a28aca47ba1378dc4 -> FETCH_HEAD
2025-03-21T20:18:30.8499355Z Submodule path 'third-party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4'
2025-03-21T20:18:30.8514364Z [command]/usr/bin/git submodule foreach git config --local gc.auto 0
2025-03-21T20:18:30.8777803Z Entering 'backends/arm/third-party/ethos-u-core-driver'
2025-03-21T20:18:30.8803533Z Entering 'backends/arm/third-party/serialization_lib'
2025-03-21T20:18:30.8830441Z Entering 'backends/cadence/utils/FACTO'
2025-03-21T20:18:30.8856465Z Entering 'backends/vulkan/third-party/Vulkan-Headers'
2025-03-21T20:18:30.8882230Z Entering 'backends/vulkan/third-party/VulkanMemoryAllocator'
2025-03-21T20:18:30.8908178Z Entering 'backends/vulkan/third-party/volk'
2025-03-21T20:18:30.8933735Z Entering 'backends/xnnpack/third-party/FP16'
2025-03-21T20:18:30.8959450Z Entering 'backends/xnnpack/third-party/FXdiv'
2025-03-21T20:18:30.8984716Z Entering 'backends/xnnpack/third-party/XNNPACK'
2025-03-21T20:18:30.9010601Z Entering 'backends/xnnpack/third-party/cpuinfo'
2025-03-21T20:18:30.9036014Z Entering 'backends/xnnpack/third-party/pthreadpool'
2025-03-21T20:18:30.9061186Z Entering 'extension/llm/tokenizers'
2025-03-21T20:18:30.9086553Z Entering 'kernels/optimized/third-party/eigen'
2025-03-21T20:18:30.9111697Z Entering 'shim'
2025-03-21T20:18:30.9137026Z Entering 'third-party/ao'
2025-03-21T20:18:30.9162224Z Entering 'third-party/flatbuffers'
2025-03-21T20:18:30.9187167Z Entering 'third-party/flatcc'
2025-03-21T20:18:30.9212610Z Entering 'third-party/gflags'
2025-03-21T20:18:30.9237459Z Entering 'third-party/googletest'
2025-03-21T20:18:30.9262269Z Entering 'third-party/ios-cmake'
2025-03-21T20:18:30.9287233Z Entering 'third-party/pocketfft'
2025-03-21T20:18:30.9314157Z Entering 'third-party/prelude'
2025-03-21T20:18:30.9339100Z Entering 'third-party/pybind11'
2025-03-21T20:18:30.9372952Z ##[endgroup]
2025-03-21T20:18:30.9373492Z ##[group]Persisting credentials for submodules
2025-03-21T20:18:30.9380287Z [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' || :"
2025-03-21T20:18:30.9640880Z Entering 'backends/arm/third-party/ethos-u-core-driver'
2025-03-21T20:18:30.9692638Z Entering 'backends/arm/third-party/serialization_lib'
2025-03-21T20:18:30.9744518Z Entering 'backends/cadence/utils/FACTO'
2025-03-21T20:18:30.9795326Z Entering 'backends/vulkan/third-party/Vulkan-Headers'
2025-03-21T20:18:30.9847511Z Entering 'backends/vulkan/third-party/VulkanMemoryAllocator'
2025-03-21T20:18:30.9899397Z Entering 'backends/vulkan/third-party/volk'
2025-03-21T20:18:30.9951486Z Entering 'backends/xnnpack/third-party/FP16'
2025-03-21T20:18:31.0003418Z Entering 'backends/xnnpack/third-party/FXdiv'
2025-03-21T20:18:31.0056216Z Entering 'backends/xnnpack/third-party/XNNPACK'
2025-03-21T20:18:31.0123646Z Entering 'backends/xnnpack/third-party/cpuinfo'
2025-03-21T20:18:31.0176833Z Entering 'backends/xnnpack/third-party/pthreadpool'
2025-03-21T20:18:31.0228809Z Entering 'extension/llm/tokenizers'
2025-03-21T20:18:31.0280800Z Entering 'kernels/optimized/third-party/eigen'
2025-03-21T20:18:31.0334449Z Entering 'shim'
2025-03-21T20:18:31.0385942Z Entering 'third-party/ao'
2025-03-21T20:18:31.0438729Z Entering 'third-party/flatbuffers'
2025-03-21T20:18:31.0493060Z Entering 'third-party/flatcc'
2025-03-21T20:18:31.0544004Z Entering 'third-party/gflags'
2025-03-21T20:18:31.0595272Z Entering 'third-party/googletest'
2025-03-21T20:18:31.0647080Z Entering 'third-party/ios-cmake'
2025-03-21T20:18:31.0698928Z Entering 'third-party/pocketfft'
2025-03-21T20:18:31.0749242Z Entering 'third-party/prelude'
2025-03-21T20:18:31.0801179Z Entering 'third-party/pybind11'
2025-03-21T20:18:31.0867433Z [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"
2025-03-21T20:18:31.1125536Z Entering 'backends/arm/third-party/ethos-u-core-driver'
2025-03-21T20:18:31.1174546Z 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
2025-03-21T20:18:31.1175957Z Entering 'backends/arm/third-party/serialization_lib'
2025-03-21T20:18:31.1225103Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/config	remote.origin.url
2025-03-21T20:18:31.1226381Z Entering 'backends/cadence/utils/FACTO'
2025-03-21T20:18:31.1275350Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/config	remote.origin.url
2025-03-21T20:18:31.1276637Z Entering 'backends/vulkan/third-party/Vulkan-Headers'
2025-03-21T20:18:31.1324984Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/config	remote.origin.url
2025-03-21T20:18:31.1326391Z Entering 'backends/vulkan/third-party/VulkanMemoryAllocator'
2025-03-21T20:18:31.1374860Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/VulkanMemoryAllocator/config	remote.origin.url
2025-03-21T20:18:31.1376243Z Entering 'backends/vulkan/third-party/volk'
2025-03-21T20:18:31.1424234Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/volk/config	remote.origin.url
2025-03-21T20:18:31.1425503Z Entering 'backends/xnnpack/third-party/FP16'
2025-03-21T20:18:31.1474040Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FP16/config	remote.origin.url
2025-03-21T20:18:31.1475329Z Entering 'backends/xnnpack/third-party/FXdiv'
2025-03-21T20:18:31.1523823Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/config	remote.origin.url
2025-03-21T20:18:31.1525115Z Entering 'backends/xnnpack/third-party/XNNPACK'
2025-03-21T20:18:31.1573430Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/XNNPACK/config	remote.origin.url
2025-03-21T20:18:31.1574922Z Entering 'backends/xnnpack/third-party/cpuinfo'
2025-03-21T20:18:31.1625636Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/cpuinfo/config	remote.origin.url
2025-03-21T20:18:31.1626957Z Entering 'backends/xnnpack/third-party/pthreadpool'
2025-03-21T20:18:31.1675304Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/config	remote.origin.url
2025-03-21T20:18:31.1676578Z Entering 'extension/llm/tokenizers'
2025-03-21T20:18:31.1724866Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/config	remote.origin.url
2025-03-21T20:18:31.1726077Z Entering 'kernels/optimized/third-party/eigen'
2025-03-21T20:18:31.1774524Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party/eigen/config	remote.origin.url
2025-03-21T20:18:31.1775675Z Entering 'shim'
2025-03-21T20:18:31.1823357Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/shim/config	remote.origin.url
2025-03-21T20:18:31.1824433Z Entering 'third-party/ao'
2025-03-21T20:18:31.1872136Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/config	remote.origin.url
2025-03-21T20:18:31.1873394Z Entering 'third-party/flatbuffers'
2025-03-21T20:18:31.1921612Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatbuffers/config	remote.origin.url
2025-03-21T20:18:31.1922933Z Entering 'third-party/flatcc'
2025-03-21T20:18:31.1970493Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/config	remote.origin.url
2025-03-21T20:18:31.1971656Z Entering 'third-party/gflags'
2025-03-21T20:18:31.2021066Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/gflags/config	remote.origin.url
2025-03-21T20:18:31.2022293Z Entering 'third-party/googletest'
2025-03-21T20:18:31.2069939Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/googletest/config	remote.origin.url
2025-03-21T20:18:31.2071172Z Entering 'third-party/ios-cmake'
2025-03-21T20:18:31.2119026Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/config	remote.origin.url
2025-03-21T20:18:31.2120285Z Entering 'third-party/pocketfft'
2025-03-21T20:18:31.2168464Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pocketfft/config	remote.origin.url
2025-03-21T20:18:31.2169686Z Entering 'third-party/prelude'
2025-03-21T20:18:31.2217759Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/prelude/config	remote.origin.url
2025-03-21T20:18:31.2218975Z Entering 'third-party/pybind11'
2025-03-21T20:18:31.2266517Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pybind11/config	remote.origin.url
2025-03-21T20:18:31.2449479Z [command]/usr/bin/git submodule foreach git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:'
2025-03-21T20:18:31.2707339Z Entering 'backends/arm/third-party/ethos-u-core-driver'
2025-03-21T20:18:31.2732702Z Entering 'backends/arm/third-party/serialization_lib'
2025-03-21T20:18:31.2760115Z Entering 'backends/cadence/utils/FACTO'
2025-03-21T20:18:31.2786331Z Entering 'backends/vulkan/third-party/Vulkan-Headers'
2025-03-21T20:18:31.2812624Z Entering 'backends/vulkan/third-party/VulkanMemoryAllocator'
2025-03-21T20:18:31.2838363Z Entering 'backends/vulkan/third-party/volk'
2025-03-21T20:18:31.2864508Z Entering 'backends/xnnpack/third-party/FP16'
2025-03-21T20:18:31.2890214Z Entering 'backends/xnnpack/third-party/FXdiv'
2025-03-21T20:18:31.2916630Z Entering 'backends/xnnpack/third-party/XNNPACK'
2025-03-21T20:18:31.2942091Z Entering 'backends/xnnpack/third-party/cpuinfo'
2025-03-21T20:18:31.2968450Z Entering 'backends/xnnpack/third-party/pthreadpool'
2025-03-21T20:18:31.2993743Z Entering 'extension/llm/tokenizers'
2025-03-21T20:18:31.3019625Z Entering 'kernels/optimized/third-party/eigen'
2025-03-21T20:18:31.3045901Z Entering 'shim'
2025-03-21T20:18:31.3071677Z Entering 'third-party/ao'
2025-03-21T20:18:31.3096885Z Entering 'third-party/flatbuffers'
2025-03-21T20:18:31.3122500Z Entering 'third-party/flatcc'
2025-03-21T20:18:31.3147647Z Entering 'third-party/gflags'
2025-03-21T20:18:31.3173304Z Entering 'third-party/googletest'
2025-03-21T20:18:31.3198410Z Entering 'third-party/ios-cmake'
2025-03-21T20:18:31.3225588Z Entering 'third-party/pocketfft'
2025-03-21T20:18:31.3251058Z Entering 'third-party/prelude'
2025-03-21T20:18:31.3275984Z Entering 'third-party/pybind11'
2025-03-21T20:18:31.3313789Z [command]/usr/bin/git submodule foreach git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2025-03-21T20:18:31.3573754Z Entering 'backends/arm/third-party/ethos-u-core-driver'
2025-03-21T20:18:31.3599124Z Entering 'backends/arm/third-party/serialization_lib'
2025-03-21T20:18:31.3624583Z Entering 'backends/cadence/utils/FACTO'
2025-03-21T20:18:31.3650346Z Entering 'backends/vulkan/third-party/Vulkan-Headers'
2025-03-21T20:18:31.3676088Z Entering 'backends/vulkan/third-party/VulkanMemoryAllocator'
2025-03-21T20:18:31.3701060Z Entering 'backends/vulkan/third-party/volk'
2025-03-21T20:18:31.3726781Z Entering 'backends/xnnpack/third-party/FP16'
2025-03-21T20:18:31.3751998Z Entering 'backends/xnnpack/third-party/FXdiv'
2025-03-21T20:18:31.3777289Z Entering 'backends/xnnpack/third-party/XNNPACK'
2025-03-21T20:18:31.3802725Z Entering 'backends/xnnpack/third-party/cpuinfo'
2025-03-21T20:18:31.3827989Z Entering 'backends/xnnpack/third-party/pthreadpool'
2025-03-21T20:18:31.3853262Z Entering 'extension/llm/tokenizers'
2025-03-21T20:18:31.3878425Z Entering 'kernels/optimized/third-party/eigen'
2025-03-21T20:18:31.3903230Z Entering 'shim'
2025-03-21T20:18:31.3928356Z Entering 'third-party/ao'
2025-03-21T20:18:31.3953221Z Entering 'third-party/flatbuffers'
2025-03-21T20:18:31.3977921Z Entering 'third-party/flatcc'
2025-03-21T20:18:31.4003047Z Entering 'third-party/gflags'
2025-03-21T20:18:31.4027647Z Entering 'third-party/googletest'
2025-03-21T20:18:31.4054076Z Entering 'third-party/ios-cmake'
2025-03-21T20:18:31.4079488Z Entering 'third-party/pocketfft'
2025-03-21T20:18:31.4105509Z Entering 'third-party/prelude'
2025-03-21T20:18:31.4130328Z Entering 'third-party/pybind11'
2025-03-21T20:18:31.4163811Z ##[endgroup]
2025-03-21T20:18:31.4196737Z [command]/usr/bin/git log -1 --format=%H
2025-03-21T20:18:31.4217051Z be92d7d85cb7081ac0a544036da4096a4efa33a8
2025-03-21T20:18:31.4433548Z Prepare all required actions
2025-03-21T20:18:31.4434069Z Getting action download info
2025-03-21T20:18:31.5387259Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e)
2025-03-21T20:18:31.6732272Z ##[group]Run ./test-infra/.github/actions/calculate-docker-image
2025-03-21T20:18:31.6732730Z with:
2025-03-21T20:18:31.6733039Z   docker-image-name: executorch-ubuntu-22.04-clang12
2025-03-21T20:18:31.6733464Z   docker-build-dir: .ci/docker
2025-03-21T20:18:31.6733814Z   working-directory: pytorch/executorch
2025-03-21T20:18:31.6734277Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:31.6734722Z   force-push: false
2025-03-21T20:18:31.6734977Z env:
2025-03-21T20:18:31.6735280Z   DOCKER_IMAGE: executorch-ubuntu-22.04-clang12
2025-03-21T20:18:31.6735680Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:31.6735997Z   PR_NUMBER: 
2025-03-21T20:18:31.6737816Z   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=mobilebert
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}"

2025-03-21T20:18:31.6739820Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:31.6740455Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:31.6741057Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:31.6741491Z ##[endgroup]
2025-03-21T20:18:31.6764968Z ##[group]Run set -ex
2025-03-21T20:18:31.6765343Z set -ex
2025-03-21T20:18:31.6765597Z 
2025-03-21T20:18:31.6766042Z # If the docker build directory or the build script doesn't exist, the action will
2025-03-21T20:18:31.6766776Z # gracefully return the docker image name as it is.  Pulling docker image in Linux
2025-03-21T20:18:31.6767397Z # job could then download the pre-built image as usual
2025-03-21T20:18:31.6767959Z if [[ ! -d "${DOCKER_BUILD_DIR}" ]] || [[ ! -f "${DOCKER_BUILD_DIR}/build.sh" ]]; then
2025-03-21T20:18:31.6768477Z   echo "skip=true" >> "${GITHUB_OUTPUT}"
2025-03-21T20:18:31.6768960Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-03-21T20:18:31.6769409Z 
2025-03-21T20:18:31.6769801Z   echo "There is no Docker build script in ${REPO_NAME} repo, skipping..."
2025-03-21T20:18:31.6770284Z   exit 0
2025-03-21T20:18:31.6770545Z else
2025-03-21T20:18:31.6770978Z   echo "skip=false" >> "${GITHUB_OUTPUT}"
2025-03-21T20:18:31.6771347Z fi
2025-03-21T20:18:31.6771592Z 
2025-03-21T20:18:31.6771977Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then
2025-03-21T20:18:31.6772633Z   # The docker image name already includes the ECR prefix and tag, so we can just
2025-03-21T20:18:31.6773219Z   # use it as it is, but first let's extract the tag
2025-03-21T20:18:31.6773732Z   DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}')
2025-03-21T20:18:31.6774286Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-03-21T20:18:31.6774822Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-03-21T20:18:31.6775272Z else
2025-03-21T20:18:31.6775622Z   DOCKER_TAG=$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}")
2025-03-21T20:18:31.6776127Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-03-21T20:18:31.6776808Z   echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-03-21T20:18:31.6777421Z fi
2025-03-21T20:18:31.6783652Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:31.6784078Z env:
2025-03-21T20:18:31.6784382Z   DOCKER_IMAGE: executorch-ubuntu-22.04-clang12
2025-03-21T20:18:31.6784790Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:31.6785102Z   PR_NUMBER: 
2025-03-21T20:18:31.6786877Z   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=mobilebert
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}"

2025-03-21T20:18:31.6788887Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:31.6789540Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:31.6790145Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:31.6790589Z   REPO_NAME: executorch
2025-03-21T20:18:31.6790937Z   DOCKER_IMAGE_NAME: executorch-ubuntu-22.04-clang12
2025-03-21T20:18:31.6791331Z   DOCKER_BUILD_DIR: .ci/docker
2025-03-21T20:18:31.6791739Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:31.6792170Z ##[endgroup]
2025-03-21T20:18:31.6820286Z + [[ ! -d .ci/docker ]]
2025-03-21T20:18:31.6820622Z + [[ ! -f .ci/docker/build.sh ]]
2025-03-21T20:18:31.6820955Z + echo skip=false
2025-03-21T20:18:31.6821510Z + [[ executorch-ubuntu-22.04-clang12 == *\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* ]]
2025-03-21T20:18:31.6824576Z ++ git rev-parse HEAD:.ci/docker
2025-03-21T20:18:31.6839807Z + DOCKER_TAG=2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:31.6840280Z + echo docker-tag=2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:31.6841188Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-clang12:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:31.6873432Z ##[group]Run set +e
2025-03-21T20:18:31.6873800Z set +e
2025-03-21T20:18:31.6874065Z set -x
2025-03-21T20:18:31.6874321Z 
2025-03-21T20:18:31.6874550Z login() {
2025-03-21T20:18:31.6875073Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-03-21T20:18:31.6875635Z }
2025-03-21T20:18:31.6875868Z 
2025-03-21T20:18:31.6876102Z retry () {
2025-03-21T20:18:31.6876396Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-03-21T20:18:31.6876732Z }
2025-03-21T20:18:31.6876962Z 
2025-03-21T20:18:31.6877346Z retry login "${DOCKER_REGISTRY}"
2025-03-21T20:18:31.6877692Z 
2025-03-21T20:18:31.6877924Z START_TIME=$(date +%s)
2025-03-21T20:18:31.6878247Z # Wait up to 120 minutes
2025-03-21T20:18:31.6878660Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do
2025-03-21T20:18:31.6879192Z   # Check if image already exists, if it does then skip building it
2025-03-21T20:18:31.6879719Z   if docker manifest inspect "${DOCKER_IMAGE}"; then
2025-03-21T20:18:31.6880119Z     exit 0
2025-03-21T20:18:31.6880370Z   fi
2025-03-21T20:18:31.6880612Z 
2025-03-21T20:18:31.6881031Z   # NB: This flag is used by Docker build workflow to push the image to ECR, so we can
2025-03-21T20:18:31.6881740Z   # use this to differentiate between the Docker build and regular build jobs. For the
2025-03-21T20:18:31.6882446Z   # latter, it will wait for the Docker images to become available before continuing
2025-03-21T20:18:31.6883008Z   if [ "${DOCKER_PUSH:-false}" == "true" ]; then
2025-03-21T20:18:31.6883430Z     # It's a Docker build job, let's build the image
2025-03-21T20:18:31.6883930Z     break
2025-03-21T20:18:31.6884191Z   else
2025-03-21T20:18:31.6884568Z     # It's a regular build job, wait for the image to become available
2025-03-21T20:18:31.6885022Z     sleep 300
2025-03-21T20:18:31.6885284Z   fi
2025-03-21T20:18:31.6885529Z done
2025-03-21T20:18:31.6885771Z 
2025-03-21T20:18:31.6886151Z # NB: This part requires a full checkout. Otherwise, the merge base will
2025-03-21T20:18:31.6886764Z # be empty.  The default action would be to continue rebuild the image
2025-03-21T20:18:31.6887321Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then
2025-03-21T20:18:31.6887796Z   # if we're on the base branch then use the parent commit
2025-03-21T20:18:31.6888244Z   MERGE_BASE=$(git rev-parse HEAD~)
2025-03-21T20:18:31.6888590Z else
2025-03-21T20:18:31.6888945Z   # otherwise we're on a PR, so use the most recent base commit
2025-03-21T20:18:31.6889463Z   MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION")
2025-03-21T20:18:31.6889848Z fi
2025-03-21T20:18:31.6890084Z 
2025-03-21T20:18:31.6890346Z if [[ -z "${MERGE_BASE}" ]]; then
2025-03-21T20:18:31.6890733Z   echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-03-21T20:18:31.6891097Z 
2025-03-21T20:18:31.6891599Z   echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..."
2025-03-21T20:18:31.6892177Z   exit 0
2025-03-21T20:18:31.6892431Z fi
2025-03-21T20:18:31.6892666Z 
2025-03-21T20:18:31.6893002Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then
2025-03-21T20:18:31.6893730Z   echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit"
2025-03-21T20:18:31.6894354Z   exit 1
2025-03-21T20:18:31.6894606Z fi
2025-03-21T20:18:31.6894842Z 
2025-03-21T20:18:31.6895241Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}")
2025-03-21T20:18:31.6895943Z # If no image exists but the hash is the same as the previous hash then we should error out here
2025-03-21T20:18:31.6896580Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then
2025-03-21T20:18:31.6897293Z   echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch"
2025-03-21T20:18:31.6898109Z   echo "         Will re-build docker image to store in local cache, TTS may be longer"
2025-03-21T20:18:31.6898613Z fi
2025-03-21T20:18:31.6898848Z 
2025-03-21T20:18:31.6899139Z echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-03-21T20:18:31.6905437Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:31.6905837Z env:
2025-03-21T20:18:31.6906550Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-clang12:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:31.6907358Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:31.6907674Z   PR_NUMBER: 
2025-03-21T20:18:31.6909453Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

MODEL_NAME=mobilebert
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}"

2025-03-21T20:18:31.6911442Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:31.6912080Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:31.6912683Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:31.6913330Z   DOCKER_BUILD_DIR: .ci/docker
2025-03-21T20:18:31.6913695Z   BASE_REVISION: be92d7d85cb7081ac0a544036da4096a4efa33a8
2025-03-21T20:18:31.6914153Z   DOCKER_TAG: 2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:31.6914644Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:31.6915074Z   DOCKER_PUSH: 
2025-03-21T20:18:31.6915327Z ##[endgroup]
2025-03-21T20:18:31.6938483Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:31.6939192Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:31.6941113Z + aws ecr get-login-password --region us-east-1
2025-03-21T20:18:31.6942457Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:32.2131204Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-03-21T20:18:32.2132012Z Configure a credential helper to remove this warning. See
2025-03-21T20:18:32.2132721Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-03-21T20:18:32.2133214Z 
2025-03-21T20:18:32.2133698Z Login Succeeded
2025-03-21T20:18:32.2148856Z ++ date +%s
2025-03-21T20:18:32.2158626Z + START_TIME=1742588312
2025-03-21T20:18:32.2161407Z ++ date +%s
2025-03-21T20:18:32.2169898Z + [[ 1742581112 -lt 1742588312 ]]
2025-03-21T20:18:32.2171074Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-clang12:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:32.4055719Z {
2025-03-21T20:18:32.4056154Z 	"schemaVersion": 2,
2025-03-21T20:18:32.4056818Z 	"mediaType": "application/vnd.docker.distribution.manifest.v2+json",
2025-03-21T20:18:32.4057519Z 	"config": {
2025-03-21T20:18:32.4058089Z 		"mediaType": "application/vnd.docker.container.image.v1+json",
2025-03-21T20:18:32.4058881Z 		"size": 15113,
2025-03-21T20:18:32.4059627Z 		"digest": "sha256:22ce6c68b3236926f49a39bba2b81e911ed9b33f86ae61acb3f7d199e5465e40"
2025-03-21T20:18:32.4060576Z 	},
2025-03-21T20:18:32.4060921Z 	"layers": [
2025-03-21T20:18:32.4061288Z 		{
2025-03-21T20:18:32.4061828Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.4062533Z 			"size": 30440118,
2025-03-21T20:18:32.4063253Z 			"digest": "sha256:8f84a9f2102e97a4a6bf673b150fc9894df5acc9618ad3484c6c36f768c1caa0"
2025-03-21T20:18:32.4064068Z 		},
2025-03-21T20:18:32.4064372Z 		{
2025-03-21T20:18:32.4064949Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.4065636Z 			"size": 632,
2025-03-21T20:18:32.4066408Z 			"digest": "sha256:86e413e13063e43e9840dda1e93f5db4a40e184a756693799c0369fd9d008e6e"
2025-03-21T20:18:32.4067335Z 		},
2025-03-21T20:18:32.4067694Z 		{
2025-03-21T20:18:32.4068282Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.4069366Z 			"size": 157526119,
2025-03-21T20:18:32.4070092Z 			"digest": "sha256:b5c6df654772b230433280324cb8ae166f055fe81ed7337aa4711d5c456604c4"
2025-03-21T20:18:32.4070855Z 		},
2025-03-21T20:18:32.4071227Z 		{
2025-03-21T20:18:32.4071759Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.4072383Z 			"size": 623,
2025-03-21T20:18:32.4073185Z 			"digest": "sha256:261c0f487ad07815c767b360dc3f2b7876eec9795ea5a311db7499b7ca2f1e38"
2025-03-21T20:18:32.4073957Z 		},
2025-03-21T20:18:32.4074253Z 		{
2025-03-21T20:18:32.4074746Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.4075250Z 			"size": 19308773,
2025-03-21T20:18:32.4075718Z 			"digest": "sha256:60efa3734e02f033c86ecaee3fac91efdcbc7b301321e531fc0a1060847a2bb4"
2025-03-21T20:18:32.4076414Z 		},
2025-03-21T20:18:32.4076638Z 		{
2025-03-21T20:18:32.4077000Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.4096851Z 			"size": 737,
2025-03-21T20:18:32.4097352Z 			"digest": "sha256:a0c2fdb93deca15e6e50f0cc2f2b253f65c424a5ba7146fa214b3dabf949e47d"
2025-03-21T20:18:32.4097876Z 		},
2025-03-21T20:18:32.4098071Z 		{
2025-03-21T20:18:32.4098595Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.4099043Z 			"size": 131418197,
2025-03-21T20:18:32.4099485Z 			"digest": "sha256:e9ab3604d5b29a9484bc1305a366981c1ca67f751032b9c37fe8fef0f85688cc"
2025-03-21T20:18:32.4099982Z 		},
2025-03-21T20:18:32.4100179Z 		{
2025-03-21T20:18:32.4100533Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.4100984Z 			"size": 447,
2025-03-21T20:18:32.4101423Z 			"digest": "sha256:5a102502de33c5d0391cba90688a95c6d138caa80472d8586f51fe199d15e056"
2025-03-21T20:18:32.4101922Z 		},
2025-03-21T20:18:32.4102416Z 		{
2025-03-21T20:18:32.4102778Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.4103222Z 			"size": 104,
2025-03-21T20:18:32.4103665Z 			"digest": "sha256:49b7cb3e3363a5f3dac8175af32fe4816b39e161a46bf969e6912750f5f9bec9"
2025-03-21T20:18:32.4104175Z 		},
2025-03-21T20:18:32.4104363Z 		{
2025-03-21T20:18:32.4104709Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.4105151Z 			"size": 637,
2025-03-21T20:18:32.4105566Z 			"digest": "sha256:85f4a172d5b6549c71f192713230a09e559248bc692b3c7880a7aeb8cbc8063d"
2025-03-21T20:18:32.4106056Z 		},
2025-03-21T20:18:32.4106254Z 		{
2025-03-21T20:18:32.4106609Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.4107063Z 			"size": 33695133,
2025-03-21T20:18:32.4107522Z 			"digest": "sha256:b19aec4cf4ca427d523290baed9608620faa6e00dbed219e8730c6a88434be03"
2025-03-21T20:18:32.4108045Z 		},
2025-03-21T20:18:32.4108259Z 		{
2025-03-21T20:18:32.4108616Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.4109069Z 			"size": 319,
2025-03-21T20:18:32.4109505Z 			"digest": "sha256:5120711d46e36360293dc8943ca1ad1310579dc5a9970d1ec6f4f3b3a408ccac"
2025-03-21T20:18:32.4110012Z 		},
2025-03-21T20:18:32.4110222Z 		{
2025-03-21T20:18:32.4110579Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.4111037Z 			"size": 249991053,
2025-03-21T20:18:32.4111505Z 			"digest": "sha256:b51a5e8daac542be7f81d2c6b3436f5905a06e0eb777f324cd0883498381ba09"
2025-03-21T20:18:32.4112023Z 		},
2025-03-21T20:18:32.4112229Z 		{
2025-03-21T20:18:32.4112588Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.4113133Z 			"size": 475,
2025-03-21T20:18:32.4113598Z 			"digest": "sha256:e1fd02ccae095d8166d03a3f7af0d5ea3fcc2cb9514e293d10ac0025e3ef3211"
2025-03-21T20:18:32.4114130Z 		},
2025-03-21T20:18:32.4114343Z 		{
2025-03-21T20:18:32.4114708Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.4115162Z 			"size": 1043,
2025-03-21T20:18:32.4115593Z 			"digest": "sha256:75aba5c9e2312ec799574e1d38f907f9736434eee23f570b5165147b0919b34f"
2025-03-21T20:18:32.4116213Z 		},
2025-03-21T20:18:32.4116406Z 		{
2025-03-21T20:18:32.4116769Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.4117227Z 			"size": 613,
2025-03-21T20:18:32.4117689Z 			"digest": "sha256:6ff1ffcc6d8434dbeeeffcbf49238e47562a299ebd97987c8fb752e47aad7dc0"
2025-03-21T20:18:32.4118215Z 		},
2025-03-21T20:18:32.4118423Z 		{
2025-03-21T20:18:32.4118779Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.4119230Z 			"size": 77562865,
2025-03-21T20:18:32.4119695Z 			"digest": "sha256:179cbc4b76fca152d2a31c3ff7dd52eaf3b1de654f3313a4490a632c458326cf"
2025-03-21T20:18:32.4120216Z 		},
2025-03-21T20:18:32.4120421Z 		{
2025-03-21T20:18:32.4120777Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.4121227Z 			"size": 564,
2025-03-21T20:18:32.4121669Z 			"digest": "sha256:059fda558e3457d89b46bfd98c3c33bf9b2628206601e8057a547d57ae8364fd"
2025-03-21T20:18:32.4122172Z 		},
2025-03-21T20:18:32.4122378Z 		{
2025-03-21T20:18:32.4122731Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.4123179Z 			"size": 209,
2025-03-21T20:18:32.4123717Z 			"digest": "sha256:b672a09ba2d258cd72c307293f636c1fe2de926c75f4eaf148de947b8e1c2800"
2025-03-21T20:18:32.4124231Z 		},
2025-03-21T20:18:32.4124432Z 		{
2025-03-21T20:18:32.4124783Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.4125236Z 			"size": 1189,
2025-03-21T20:18:32.4125694Z 			"digest": "sha256:3cfbc5ff2ac06cf9bffc37a8a7a1578bd7264def9f15522294ac0f325930481b"
2025-03-21T20:18:32.4126220Z 		},
2025-03-21T20:18:32.4126432Z 		{
2025-03-21T20:18:32.4126786Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.4127236Z 			"size": 679,
2025-03-21T20:18:32.4127523Z + exit 0
2025-03-21T20:18:32.4127937Z 			"digest": "sha256:59fe3e9404630f57be5670798e4d94c7767c07a9ca79487e335054f938daf0ba"
2025-03-21T20:18:32.4128437Z 		},
2025-03-21T20:18:32.4128648Z 		{
2025-03-21T20:18:32.4129001Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.4129456Z 			"size": 6839264776,
2025-03-21T20:18:32.4129932Z 			"digest": "sha256:6fb17717e5cb5df37eeeeed9cdc5ca6d3578514eacc5508ae42977ea638dd3d9"
2025-03-21T20:18:32.4130450Z 		},
2025-03-21T20:18:32.4130651Z 		{
2025-03-21T20:18:32.4131003Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.4131448Z 			"size": 1383,
2025-03-21T20:18:32.4131896Z 			"digest": "sha256:db5c552aa08bc175670ba61c1394e4eb8f14e880b54bc9117e45d201a78983d1"
2025-03-21T20:18:32.4132408Z 		},
2025-03-21T20:18:32.4132613Z 		{
2025-03-21T20:18:32.4132971Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.4133426Z 			"size": 679,
2025-03-21T20:18:32.4133858Z 			"digest": "sha256:59fe3e9404630f57be5670798e4d94c7767c07a9ca79487e335054f938daf0ba"
2025-03-21T20:18:32.4134358Z 		},
2025-03-21T20:18:32.4134563Z 		{
2025-03-21T20:18:32.4134918Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.4135379Z 			"size": 230829972,
2025-03-21T20:18:32.4135845Z 			"digest": "sha256:af6bbc70248fcf502c90f6f808c9d19a86069d8565fbb3d7bd611f61e6eeefce"
2025-03-21T20:18:32.4136364Z 		},
2025-03-21T20:18:32.4136568Z 		{
2025-03-21T20:18:32.4136919Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.4137368Z 			"size": 828,
2025-03-21T20:18:32.4137818Z 			"digest": "sha256:32a4dbb2ef2f3551374be7a84cb414cd30b101c4d3cdfe7c4ddebfe78ea1d939"
2025-03-21T20:18:32.4138342Z 		},
2025-03-21T20:18:32.4138548Z 		{
2025-03-21T20:18:32.4138904Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.4139353Z 			"size": 679,
2025-03-21T20:18:32.4139782Z 			"digest": "sha256:59fe3e9404630f57be5670798e4d94c7767c07a9ca79487e335054f938daf0ba"
2025-03-21T20:18:32.4140276Z 		},
2025-03-21T20:18:32.4140480Z 		{
2025-03-21T20:18:32.4140834Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.4141358Z 			"size": 178599440,
2025-03-21T20:18:32.4141824Z 			"digest": "sha256:55acbcc98871c512cd63e082093f5afdfc10f4cfe2ee8ea37d59775faf7a4f51"
2025-03-21T20:18:32.4142345Z 		},
2025-03-21T20:18:32.4142552Z 		{
2025-03-21T20:18:32.4142913Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.4143365Z 			"size": 530,
2025-03-21T20:18:32.4143805Z 			"digest": "sha256:77ba92adb1392840c455cc217ac4fee89f4452db783ce2b4948dc40025a0840a"
2025-03-21T20:18:32.4144315Z 		},
2025-03-21T20:18:32.4144520Z 		{
2025-03-21T20:18:32.4144879Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.4145331Z 			"size": 679,
2025-03-21T20:18:32.4145762Z 			"digest": "sha256:59fe3e9404630f57be5670798e4d94c7767c07a9ca79487e335054f938daf0ba"
2025-03-21T20:18:32.4146260Z 		},
2025-03-21T20:18:32.4146464Z 		{
2025-03-21T20:18:32.4146816Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.4147266Z 			"size": 356,
2025-03-21T20:18:32.4147703Z 			"digest": "sha256:3c65b9b0c07752feb5370318714bc114b717fb4cc8978ee39180b73cb1a03666"
2025-03-21T20:18:32.4148212Z 		},
2025-03-21T20:18:32.4148416Z 		{
2025-03-21T20:18:32.4148833Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.4149287Z 			"size": 32,
2025-03-21T20:18:32.4149737Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-03-21T20:18:32.4150259Z 		},
2025-03-21T20:18:32.4150463Z 		{
2025-03-21T20:18:32.4150821Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.4151272Z 			"size": 164,
2025-03-21T20:18:32.4151708Z 			"digest": "sha256:b0d8f2437162c2fa84368a404e452cf303901a690b8ff52361ed4c0a3293299c"
2025-03-21T20:18:32.4152209Z 		},
2025-03-21T20:18:32.4152412Z 		{
2025-03-21T20:18:32.4152768Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.4153319Z 			"size": 1111,
2025-03-21T20:18:32.4153775Z 			"digest": "sha256:040f4b25fe47bc8918c851025cce90e70d8c7182f8e6bbc984aee16c30b5bd3a"
2025-03-21T20:18:32.4154269Z 		},
2025-03-21T20:18:32.4154494Z 		{
2025-03-21T20:18:32.4154856Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.4155305Z 			"size": 32,
2025-03-21T20:18:32.4155746Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-03-21T20:18:32.4156247Z 		},
2025-03-21T20:18:32.4156462Z 		{
2025-03-21T20:18:32.4156818Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:32.4157263Z 			"size": 108,
2025-03-21T20:18:32.4157703Z 			"digest": "sha256:3c734af619a22c548a6b56d2c4706f0292ebcf37d23d6cc593f19f38b89f9356"
2025-03-21T20:18:32.4158197Z 		}
2025-03-21T20:18:32.4158413Z 	]
2025-03-21T20:18:32.4158628Z }
2025-03-21T20:18:32.4192507Z ##[group]Run set -eux
2025-03-21T20:18:32.4192804Z set -eux
2025-03-21T20:18:32.4193848Z 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
2025-03-21T20:18:32.4200984Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:32.4201385Z env:
2025-03-21T20:18:32.4201654Z   DOCKER_IMAGE: executorch-ubuntu-22.04-clang12
2025-03-21T20:18:32.4202317Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:32.4202634Z   PR_NUMBER: 
2025-03-21T20:18:32.4204405Z   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=mobilebert
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}"

2025-03-21T20:18:32.4206383Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:32.4207142Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:32.4207738Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:32.4208157Z ##[endgroup]
2025-03-21T20:18:32.4235177Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token
2025-03-21T20:18:32.4236195Z + jq --raw-output .SecretString
2025-03-21T20:18:32.4237896Z + jq -r .docker_hub_readonly_token
2025-03-21T20:18:32.4239185Z + docker login --username pytorchbot --password-stdin
2025-03-21T20:18:33.0134225Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-03-21T20:18:33.0134904Z Configure a credential helper to remove this warning. See
2025-03-21T20:18:33.0135572Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-03-21T20:18:33.0136178Z 
2025-03-21T20:18:33.0136336Z Login Succeeded
2025-03-21T20:18:33.0220428Z Prepare all required actions
2025-03-21T20:18:33.0257232Z ##[group]Run ./test-infra/.github/actions/pull-docker-image
2025-03-21T20:18:33.0257825Z with:
2025-03-21T20:18:33.0258659Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-clang12:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:33.0259899Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:33.0260467Z env:
2025-03-21T20:18:33.0260762Z   DOCKER_IMAGE: executorch-ubuntu-22.04-clang12
2025-03-21T20:18:33.0261166Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:33.0261485Z   PR_NUMBER: 
2025-03-21T20:18:33.0263318Z   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=mobilebert
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}"

2025-03-21T20:18:33.0265326Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:33.0265969Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:33.0266556Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:33.0266985Z ##[endgroup]
2025-03-21T20:18:33.0286863Z ##[group]Run set -x
2025-03-21T20:18:33.0287178Z set -x
2025-03-21T20:18:33.0287440Z set +e
2025-03-21T20:18:33.0287698Z 
2025-03-21T20:18:33.0287928Z login() {
2025-03-21T20:18:33.0288455Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-03-21T20:18:33.0289026Z }
2025-03-21T20:18:33.0289269Z 
2025-03-21T20:18:33.0289512Z retry () {
2025-03-21T20:18:33.0289814Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-03-21T20:18:33.0290173Z }
2025-03-21T20:18:33.0290412Z 
2025-03-21T20:18:33.0290680Z retry login "${DOCKER_REGISTRY}"
2025-03-21T20:18:33.0291021Z 
2025-03-21T20:18:33.0291250Z set -e
2025-03-21T20:18:33.0291627Z # ignore output since only exit code is used for conditional
2025-03-21T20:18:33.0292162Z # only pull docker image if it's not available locally
2025-03-21T20:18:33.0292755Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then
2025-03-21T20:18:33.0293305Z   retry docker pull "${DOCKER_IMAGE}"
2025-03-21T20:18:33.0293670Z fi
2025-03-21T20:18:33.0299450Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:33.0299871Z env:
2025-03-21T20:18:33.0300577Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-clang12:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:33.0301402Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:33.0301854Z   PR_NUMBER: 
2025-03-21T20:18:33.0303907Z   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=mobilebert
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}"

2025-03-21T20:18:33.0305908Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:33.0306555Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:33.0307144Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:33.0307680Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:33.0308116Z ##[endgroup]
2025-03-21T20:18:33.0332349Z + set +e
2025-03-21T20:18:33.0332706Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:33.0333170Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:33.0335704Z + aws ecr get-login-password --region us-east-1
2025-03-21T20:18:33.0336731Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:33.5545104Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-03-21T20:18:33.5545771Z Configure a credential helper to remove this warning. See
2025-03-21T20:18:33.5546382Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-03-21T20:18:33.5547057Z 
2025-03-21T20:18:33.5547210Z Login Succeeded
2025-03-21T20:18:33.5558620Z + set -e
2025-03-21T20:18:33.5559746Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-clang12:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:33.5687413Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-clang12:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:33.5688711Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-clang12:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:33.7927212Z 2abd9b1bd42f655b7d130222db4a0cdbc04da8a4: Pulling from executorch/executorch-ubuntu-22.04-clang12
2025-03-21T20:18:33.7933187Z 8f84a9f2102e: Pulling fs layer
2025-03-21T20:18:33.7934101Z 86e413e13063: Pulling fs layer
2025-03-21T20:18:33.7934717Z b5c6df654772: Pulling fs layer
2025-03-21T20:18:33.7935297Z 261c0f487ad0: Pulling fs layer
2025-03-21T20:18:33.7935657Z 60efa3734e02: Pulling fs layer
2025-03-21T20:18:33.7935978Z a0c2fdb93dec: Pulling fs layer
2025-03-21T20:18:33.7936300Z e9ab3604d5b2: Pulling fs layer
2025-03-21T20:18:33.7936612Z 5a102502de33: Pulling fs layer
2025-03-21T20:18:33.7936925Z 49b7cb3e3363: Pulling fs layer
2025-03-21T20:18:33.7937245Z 85f4a172d5b6: Pulling fs layer
2025-03-21T20:18:33.7937568Z b19aec4cf4ca: Pulling fs layer
2025-03-21T20:18:33.7937876Z 5120711d46e3: Pulling fs layer
2025-03-21T20:18:33.7938183Z b51a5e8daac5: Pulling fs layer
2025-03-21T20:18:33.7938484Z 60efa3734e02: Waiting
2025-03-21T20:18:33.7938743Z a0c2fdb93dec: Waiting
2025-03-21T20:18:33.7939024Z e1fd02ccae09: Pulling fs layer
2025-03-21T20:18:33.7939322Z e9ab3604d5b2: Waiting
2025-03-21T20:18:33.7939597Z 75aba5c9e231: Pulling fs layer
2025-03-21T20:18:33.7939896Z 5a102502de33: Waiting
2025-03-21T20:18:33.7940167Z 6ff1ffcc6d84: Pulling fs layer
2025-03-21T20:18:33.7940466Z 49b7cb3e3363: Waiting
2025-03-21T20:18:33.7940743Z 179cbc4b76fc: Pulling fs layer
2025-03-21T20:18:33.7941043Z 85f4a172d5b6: Waiting
2025-03-21T20:18:33.7941299Z b19aec4cf4ca: Waiting
2025-03-21T20:18:33.7941609Z 059fda558e34: Pulling fs layer
2025-03-21T20:18:33.7941897Z b51a5e8daac5: Waiting
2025-03-21T20:18:33.7942187Z b672a09ba2d2: Pulling fs layer
2025-03-21T20:18:33.7942499Z e1fd02ccae09: Waiting
2025-03-21T20:18:33.7942768Z 5120711d46e3: Waiting
2025-03-21T20:18:33.7943537Z 3cfbc5ff2ac0: Pulling fs layer
2025-03-21T20:18:33.7943836Z 75aba5c9e231: Waiting
2025-03-21T20:18:33.7944120Z 59fe3e940463: Pulling fs layer
2025-03-21T20:18:33.7944425Z 179cbc4b76fc: Waiting
2025-03-21T20:18:33.7944708Z 6fb17717e5cb: Pulling fs layer
2025-03-21T20:18:33.7945018Z 6ff1ffcc6d84: Waiting
2025-03-21T20:18:33.7945277Z 059fda558e34: Waiting
2025-03-21T20:18:33.7945559Z db5c552aa08b: Pulling fs layer
2025-03-21T20:18:33.7945865Z b672a09ba2d2: Waiting
2025-03-21T20:18:33.7946146Z af6bbc70248f: Pulling fs layer
2025-03-21T20:18:33.7946453Z 3cfbc5ff2ac0: Waiting
2025-03-21T20:18:33.7946710Z 59fe3e940463: Waiting
2025-03-21T20:18:33.7961515Z 32a4dbb2ef2f: Pulling fs layer
2025-03-21T20:18:33.7961935Z db5c552aa08b: Waiting
2025-03-21T20:18:33.7962388Z 55acbcc98871: Pulling fs layer
2025-03-21T20:18:33.7962688Z af6bbc70248f: Waiting
2025-03-21T20:18:33.7962965Z 6fb17717e5cb: Waiting
2025-03-21T20:18:33.7963465Z 77ba92adb139: Pulling fs layer
2025-03-21T20:18:33.7963792Z 32a4dbb2ef2f: Waiting
2025-03-21T20:18:33.7964063Z 3c65b9b0c077: Pulling fs layer
2025-03-21T20:18:33.7964380Z 4f4fb700ef54: Pulling fs layer
2025-03-21T20:18:33.7964861Z b0d8f2437162: Pulling fs layer
2025-03-21T20:18:33.7965193Z 040f4b25fe47: Pulling fs layer
2025-03-21T20:18:33.7965494Z 55acbcc98871: Waiting
2025-03-21T20:18:33.7965750Z 77ba92adb139: Waiting
2025-03-21T20:18:33.7966015Z 261c0f487ad0: Waiting
2025-03-21T20:18:33.7966296Z 3c734af619a2: Pulling fs layer
2025-03-21T20:18:33.7966596Z b0d8f2437162: Waiting
2025-03-21T20:18:33.7966868Z 3c734af619a2: Waiting
2025-03-21T20:18:33.8642152Z 86e413e13063: Verifying Checksum
2025-03-21T20:18:33.8642707Z 86e413e13063: Download complete
2025-03-21T20:18:33.9618803Z 261c0f487ad0: Verifying Checksum
2025-03-21T20:18:33.9619369Z 261c0f487ad0: Download complete
2025-03-21T20:18:34.2053054Z 60efa3734e02: Verifying Checksum
2025-03-21T20:18:34.2053619Z 60efa3734e02: Download complete
2025-03-21T20:18:34.2602474Z 8f84a9f2102e: Verifying Checksum
2025-03-21T20:18:34.2602961Z 8f84a9f2102e: Download complete
2025-03-21T20:18:34.2798986Z a0c2fdb93dec: Verifying Checksum
2025-03-21T20:18:34.2799602Z a0c2fdb93dec: Download complete
2025-03-21T20:18:34.3404375Z 5a102502de33: Verifying Checksum
2025-03-21T20:18:34.3405032Z 5a102502de33: Download complete
2025-03-21T20:18:34.4135026Z 49b7cb3e3363: Verifying Checksum
2025-03-21T20:18:34.4135684Z 49b7cb3e3363: Download complete
2025-03-21T20:18:34.4907843Z 85f4a172d5b6: Verifying Checksum
2025-03-21T20:18:34.4908428Z 85f4a172d5b6: Download complete
2025-03-21T20:18:34.8888310Z b19aec4cf4ca: Verifying Checksum
2025-03-21T20:18:34.8888782Z b19aec4cf4ca: Download complete
2025-03-21T20:18:34.9547503Z 5120711d46e3: Verifying Checksum
2025-03-21T20:18:34.9548067Z 5120711d46e3: Download complete
2025-03-21T20:18:35.2566613Z 8f84a9f2102e: Pull complete
2025-03-21T20:18:35.2691766Z 86e413e13063: Pull complete
2025-03-21T20:18:35.4197737Z b5c6df654772: Verifying Checksum
2025-03-21T20:18:35.4198454Z b5c6df654772: Download complete
2025-03-21T20:18:35.4989742Z e1fd02ccae09: Verifying Checksum
2025-03-21T20:18:35.4990401Z e1fd02ccae09: Download complete
2025-03-21T20:18:35.5642674Z 75aba5c9e231: Verifying Checksum
2025-03-21T20:18:35.5643199Z 75aba5c9e231: Download complete
2025-03-21T20:18:35.6195671Z e9ab3604d5b2: Verifying Checksum
2025-03-21T20:18:35.6196097Z e9ab3604d5b2: Download complete
2025-03-21T20:18:35.6499684Z 6ff1ffcc6d84: Verifying Checksum
2025-03-21T20:18:35.6500330Z 6ff1ffcc6d84: Download complete
2025-03-21T20:18:35.7237357Z 059fda558e34: Download complete
2025-03-21T20:18:35.7975624Z b672a09ba2d2: Download complete
2025-03-21T20:18:35.8669171Z 3cfbc5ff2ac0: Download complete
2025-03-21T20:18:35.9421813Z 59fe3e940463: Verifying Checksum
2025-03-21T20:18:36.4593156Z 179cbc4b76fc: Verifying Checksum
2025-03-21T20:18:36.5461066Z 179cbc4b76fc: Download complete
2025-03-21T20:18:36.5461726Z db5c552aa08b: Verifying Checksum
2025-03-21T20:18:36.5462262Z db5c552aa08b: Download complete
2025-03-21T20:18:37.5561064Z b51a5e8daac5: Verifying Checksum
2025-03-21T20:18:37.5562075Z b51a5e8daac5: Download complete
2025-03-21T20:18:37.6263332Z 32a4dbb2ef2f: Verifying Checksum
2025-03-21T20:18:37.6265029Z 32a4dbb2ef2f: Download complete
2025-03-21T20:18:38.9069459Z af6bbc70248f: Verifying Checksum
2025-03-21T20:18:38.9070143Z af6bbc70248f: Download complete
2025-03-21T20:18:38.9773999Z 77ba92adb139: Verifying Checksum
2025-03-21T20:18:38.9774652Z 77ba92adb139: Download complete
2025-03-21T20:18:39.0533643Z 3c65b9b0c077: Verifying Checksum
2025-03-21T20:18:39.0534300Z 3c65b9b0c077: Download complete
2025-03-21T20:18:39.1267476Z b0d8f2437162: Verifying Checksum
2025-03-21T20:18:39.1268088Z b0d8f2437162: Download complete
2025-03-21T20:18:39.1910137Z 040f4b25fe47: Verifying Checksum
2025-03-21T20:18:39.1910664Z 040f4b25fe47: Download complete
2025-03-21T20:18:39.2746777Z 3c734af619a2: Download complete
2025-03-21T20:18:39.4575966Z 55acbcc98871: Verifying Checksum
2025-03-21T20:18:39.4577903Z 55acbcc98871: Download complete
2025-03-21T20:18:39.8955483Z b5c6df654772: Pull complete
2025-03-21T20:18:40.0306848Z 261c0f487ad0: Pull complete
2025-03-21T20:18:40.4311021Z 60efa3734e02: Pull complete
2025-03-21T20:18:40.5970686Z a0c2fdb93dec: Pull complete
2025-03-21T20:18:43.2605299Z e9ab3604d5b2: Pull complete
2025-03-21T20:18:43.4024393Z 5a102502de33: Pull complete
2025-03-21T20:18:43.5069825Z 49b7cb3e3363: Pull complete
2025-03-21T20:18:43.5697913Z 85f4a172d5b6: Pull complete
2025-03-21T20:18:44.2215615Z b19aec4cf4ca: Pull complete
2025-03-21T20:18:44.3353459Z 5120711d46e3: Pull complete
2025-03-21T20:18:51.4294987Z b51a5e8daac5: Pull complete
2025-03-21T20:18:51.6251628Z e1fd02ccae09: Pull complete
2025-03-21T20:18:51.8089711Z 75aba5c9e231: Pull complete
2025-03-21T20:18:51.8925742Z 6ff1ffcc6d84: Pull complete
2025-03-21T20:18:55.0438617Z 179cbc4b76fc: Pull complete
2025-03-21T20:18:55.2256178Z 059fda558e34: Pull complete
2025-03-21T20:18:55.4260853Z b672a09ba2d2: Pull complete
2025-03-21T20:18:55.6159624Z 3cfbc5ff2ac0: Pull complete
2025-03-21T20:18:55.8132148Z 59fe3e940463: Pull complete
2025-03-21T20:19:44.3814974Z 6fb17717e5cb: Verifying Checksum
2025-03-21T20:19:44.3815478Z 6fb17717e5cb: Download complete
2025-03-21T20:21:00.6711540Z 6fb17717e5cb: Pull complete
2025-03-21T20:21:00.8136304Z db5c552aa08b: Pull complete
2025-03-21T20:21:10.7147828Z af6bbc70248f: Pull complete
2025-03-21T20:21:10.7973284Z 32a4dbb2ef2f: Pull complete
2025-03-21T20:21:19.9505199Z 55acbcc98871: Pull complete
2025-03-21T20:21:20.0776073Z 77ba92adb139: Pull complete
2025-03-21T20:21:20.2281261Z 3c65b9b0c077: Pull complete
2025-03-21T20:21:20.2771915Z 4f4fb700ef54: Pull complete
2025-03-21T20:21:20.3260453Z b0d8f2437162: Pull complete
2025-03-21T20:21:20.3765798Z 040f4b25fe47: Pull complete
2025-03-21T20:21:20.5325280Z 3c734af619a2: Pull complete
2025-03-21T20:21:20.5604295Z Digest: sha256:39442b9b9f46a866e8b0b75f41b9b461fd673725abcfb700696cc8ad9cfdf0a7
2025-03-21T20:21:20.5694916Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-clang12:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:21:20.5750755Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-clang12:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:21:20.5799541Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-03-21T20:21:20.5800598Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-03-21T20:21:20.5808330Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:21:20.5808737Z env:
2025-03-21T20:21:20.5809043Z   DOCKER_IMAGE: executorch-ubuntu-22.04-clang12
2025-03-21T20:21:20.5809450Z   REPOSITORY: pytorch/executorch
2025-03-21T20:21:20.5809779Z   PR_NUMBER: 
2025-03-21T20:21:20.5811625Z   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=mobilebert
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}"

2025-03-21T20:21:20.5813823Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:21:20.5814450Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:21:20.5815049Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:21:20.5815476Z ##[endgroup]
2025-03-21T20:21:20.5943959Z ##[group]Run set -ex
2025-03-21T20:21:20.5944305Z set -ex
2025-03-21T20:21:20.5944561Z {
2025-03-21T20:21:20.5944827Z   echo "#!/usr/bin/env bash";
2025-03-21T20:21:20.5945177Z   echo "set -eou pipefail";
2025-03-21T20:21:20.5945533Z   # shellcheck disable=SC2016
2025-03-21T20:21:20.5945936Z   echo 'eval "$(conda shell.bash hook)"';
2025-03-21T20:21:20.5946311Z   echo "set -x";
2025-03-21T20:21:20.5946615Z   echo "${SCRIPT}";
2025-03-21T20:21:20.5946948Z } > "${RUNNER_TEMP}/exec_script"
2025-03-21T20:21:20.5947328Z chmod +x "${RUNNER_TEMP}/exec_script"
2025-03-21T20:21:20.5948110Z python3 "/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/.github/scripts/run_with_env_secrets.py" ""
2025-03-21T20:21:20.5954853Z shell: /usr/bin/bash -e {0}
2025-03-21T20:21:20.5955170Z env:
2025-03-21T20:21:20.5955934Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-clang12:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:21:20.5956748Z   REPOSITORY: pytorch/executorch
2025-03-21T20:21:20.5957052Z   PR_NUMBER: 
2025-03-21T20:21:20.5958829Z   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=mobilebert
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}"

2025-03-21T20:21:20.5960831Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:21:20.5961465Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:21:20.5962059Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:21:20.5962824Z   ALL_SECRETS: {
  "github_token": "***"
}
2025-03-21T20:21:20.5963172Z ##[endgroup]
2025-03-21T20:21:20.5990064Z + echo '#!/usr/bin/env bash'
2025-03-21T20:21:20.5990407Z + echo 'set -eou pipefail'
2025-03-21T20:21:20.5990736Z + echo 'eval "$(conda shell.bash hook)"'
2025-03-21T20:21:20.5991078Z + echo 'set -x'
2025-03-21T20:21:20.5991535Z + echo '# The generic Linux job chooses to use base env, not the one setup by the image
2025-03-21T20:21:20.5992225Z CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
2025-03-21T20:21:20.5992813Z conda activate "${CONDA_ENV}"
2025-03-21T20:21:20.5993230Z 
2025-03-21T20:21:20.5993388Z MODEL_NAME=mobilebert
2025-03-21T20:21:20.5993861Z BUILD_TOOL=cmake
2025-03-21T20:21:20.5994270Z BACKEND=portable
2025-03-21T20:21:20.5994424Z 
2025-03-21T20:21:20.5994749Z PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
2025-03-21T20:21:20.5995284Z # Build and test ExecuTorch
2025-03-21T20:21:20.5995859Z PYTHON_EXECUTABLE=python bash .ci/scripts/test_model.sh "${MODEL_NAME}" "${BUILD_TOOL}" "${BACKEND}"
2025-03-21T20:21:20.5996438Z '
2025-03-21T20:21:20.5996772Z + chmod +x /home/ec2-user/actions-runner/_work/_temp/exec_script
2025-03-21T20:21:20.6003816Z + python3 /home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/.github/scripts/run_with_env_secrets.py ''
2025-03-21T20:21:33.4291585Z Running command: 
2025-03-21T20:21:33.4298790Z         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_14000170672"             `# 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_05a5165c-f50b-40b2-be2b-98648ccad296":"/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_05a5165c-f50b-40b2-be2b-98648ccad296"             -w /pytorch/executorch             "308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-clang12:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4"
2025-03-21T20:21:33.4305544Z         
2025-03-21T20:21:33.4305928Z b8fc89abde0c10fabe6c734ea2fabd0e52cdcf70be528e55809dfb5696d2dbd4
2025-03-21T20:21:33.4306713Z Running command: docker exec -t b8fc89abde0c10fabe6c734ea2fabd0e52cdcf70be528e55809dfb5696d2dbd4 /exec
2025-03-21T20:21:33.4307361Z ++ conda env list --json
2025-03-21T20:21:33.4307660Z ++ local cmd=env
2025-03-21T20:21:33.4307925Z ++ case "$cmd" in
2025-03-21T20:21:33.4308183Z ++ __conda_exe env list --json
2025-03-21T20:21:33.4308497Z ++ jq -r '.envs | .[-1]'
2025-03-21T20:21:33.4308812Z ++ /opt/conda/bin/conda env list --json
2025-03-21T20:21:33.4309172Z + CONDA_ENV=/opt/conda/envs/py_3.10
2025-03-21T20:21:33.4309514Z + conda activate /opt/conda/envs/py_3.10
2025-03-21T20:21:33.4309865Z + local cmd=activate
2025-03-21T20:21:33.4310179Z + case "$cmd" in
2025-03-21T20:21:33.4310488Z + __conda_activate activate /opt/conda/envs/py_3.10
2025-03-21T20:21:33.4310927Z + '[' -n '' ']'
2025-03-21T20:21:33.4311168Z + local ask_conda
2025-03-21T20:21:33.4311442Z ++ PS1='(base) '
2025-03-21T20:21:33.4311781Z ++ __conda_exe shell.posix activate /opt/conda/envs/py_3.10
2025-03-21T20:21:33.4312317Z ++ /opt/conda/bin/conda shell.posix activate /opt/conda/envs/py_3.10
2025-03-21T20:21:33.4312787Z + ask_conda='PS1='\''(py_3.10) '\''
2025-03-21T20:21:33.4313819Z 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'\''
2025-03-21T20:21:33.4314803Z export CONDA_PREFIX='\''/opt/conda/envs/py_3.10'\''
2025-03-21T20:21:33.4315208Z export CONDA_SHLVL='\''2'\''
2025-03-21T20:21:33.4315545Z export CONDA_DEFAULT_ENV='\''py_3.10'\''
2025-03-21T20:21:33.4315939Z export CONDA_PROMPT_MODIFIER='\''(py_3.10) '\''
2025-03-21T20:21:33.4316395Z export CONDA_PREFIX_1='\''/opt/conda'\''
2025-03-21T20:21:33.4316781Z export CONDA_EXE='\''/opt/conda/bin/conda'\''
2025-03-21T20:21:33.4317130Z export _CE_M='\'''\''
2025-03-21T20:21:33.4317421Z export _CE_CONDA='\'''\''
2025-03-21T20:21:33.4317788Z export CONDA_PYTHON_EXE='\''/opt/conda/bin/python'\'''
2025-03-21T20:21:33.4318198Z + eval 'PS1='\''(py_3.10) '\''
2025-03-21T20:21:33.4319108Z 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'\''
2025-03-21T20:21:33.4320314Z export CONDA_PREFIX='\''/opt/conda/envs/py_3.10'\''
2025-03-21T20:21:33.4320696Z export CONDA_SHLVL='\''2'\''
2025-03-21T20:21:33.4321024Z export CONDA_DEFAULT_ENV='\''py_3.10'\''
2025-03-21T20:21:33.4321410Z export CONDA_PROMPT_MODIFIER='\''(py_3.10) '\''
2025-03-21T20:21:33.4321804Z export CONDA_PREFIX_1='\''/opt/conda'\''
2025-03-21T20:21:33.4322181Z export CONDA_EXE='\''/opt/conda/bin/conda'\''
2025-03-21T20:21:33.4322529Z export _CE_M='\'''\''
2025-03-21T20:21:33.4322810Z export _CE_CONDA='\'''\''
2025-03-21T20:21:33.4323162Z export CONDA_PYTHON_EXE='\''/opt/conda/bin/python'\'''
2025-03-21T20:21:33.4323549Z ++ PS1='(py_3.10) '
2025-03-21T20:21:33.4324523Z ++ 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
2025-03-21T20:21:33.4325980Z ++ 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
2025-03-21T20:21:33.4326892Z ++ export CONDA_PREFIX=/opt/conda/envs/py_3.10
2025-03-21T20:21:33.4327281Z ++ CONDA_PREFIX=/opt/conda/envs/py_3.10
2025-03-21T20:21:33.4327628Z ++ export CONDA_SHLVL=2
2025-03-21T20:21:33.4327903Z ++ CONDA_SHLVL=2
2025-03-21T20:21:33.4328175Z ++ export CONDA_DEFAULT_ENV=py_3.10
2025-03-21T20:21:33.4328509Z ++ CONDA_DEFAULT_ENV=py_3.10
2025-03-21T20:21:33.4328842Z ++ export 'CONDA_PROMPT_MODIFIER=(py_3.10) '
2025-03-21T20:21:33.4329218Z ++ CONDA_PROMPT_MODIFIER='(py_3.10) '
2025-03-21T20:21:33.4329588Z ++ export CONDA_PREFIX_1=/opt/conda
2025-03-21T20:21:33.4329919Z ++ CONDA_PREFIX_1=/opt/conda
2025-03-21T20:21:33.4330247Z ++ export CONDA_EXE=/opt/conda/bin/conda
2025-03-21T20:21:33.4330610Z ++ CONDA_EXE=/opt/conda/bin/conda
2025-03-21T20:21:33.4330932Z ++ export _CE_M=
2025-03-21T20:21:33.4331190Z ++ _CE_M=
2025-03-21T20:21:33.4331418Z ++ export _CE_CONDA=
2025-03-21T20:21:33.4331692Z ++ _CE_CONDA=
2025-03-21T20:21:33.4331994Z ++ export CONDA_PYTHON_EXE=/opt/conda/bin/python
2025-03-21T20:21:33.4332391Z ++ CONDA_PYTHON_EXE=/opt/conda/bin/python
2025-03-21T20:21:33.4332736Z + __conda_hashr
2025-03-21T20:21:33.4332979Z + '[' -n '' ']'
2025-03-21T20:21:33.4333232Z + '[' -n '' ']'
2025-03-21T20:21:33.4333491Z + hash -r
2025-03-21T20:21:33.4333744Z + MODEL_NAME=mobilebert
2025-03-21T20:21:33.4334016Z + BUILD_TOOL=cmake
2025-03-21T20:21:33.4334285Z + BACKEND=portable
2025-03-21T20:21:33.4334567Z + PYTHON_EXECUTABLE=python
2025-03-21T20:21:33.4334932Z + bash .ci/scripts/setup-linux.sh --build-tool cmake
2025-03-21T20:21:33.4335344Z ++ dirname .ci/scripts/setup-linux.sh
2025-03-21T20:21:33.4335681Z + source .ci/scripts/utils.sh
2025-03-21T20:21:33.4336016Z + read -r BUILD_TOOL BUILD_MODE EDITABLE
2025-03-21T20:21:33.4336376Z ++ parse_args --build-tool cmake
2025-03-21T20:21:33.4374268Z ++ args=('--build-tool' 'cmake')
2025-03-21T20:21:33.4374644Z ++ local args
2025-03-21T20:21:33.4374894Z ++ local i
2025-03-21T20:21:33.4375157Z ++ local BUILD_TOOL=
2025-03-21T20:21:33.4375423Z ++ local BUILD_MODE=
2025-03-21T20:21:33.4375806Z ++ local EDITABLE=
2025-03-21T20:21:33.4376114Z ++ (( i=0 ))
2025-03-21T20:21:33.4376486Z ++ (( i<2 ))
2025-03-21T20:21:33.4376815Z ++ case "${args[$i]}" in
2025-03-21T20:21:33.4377108Z ++ BUILD_TOOL=cmake
2025-03-21T20:21:33.4377389Z ++ i=1
2025-03-21T20:21:33.4377639Z ++ (( i++ ))
2025-03-21T20:21:33.4377864Z ++ (( i<2 ))
2025-03-21T20:21:33.4378130Z ++ '[' -z cmake ']'
2025-03-21T20:21:33.4378406Z ++ [[ cmake =~ ^(cmake|buck2)$ ]]
2025-03-21T20:21:33.4378727Z ++ BUILD_MODE=Release
2025-03-21T20:21:33.4379017Z ++ [[ Release =~ ^(Debug|Release)$ ]]
2025-03-21T20:21:33.4379342Z ++ EDITABLE=false
2025-03-21T20:21:33.4379739Z ++ [[ false =~ ^(true|false)$ ]]
2025-03-21T20:21:33.4380127Z ++ echo 'cmake Release false'
2025-03-21T20:21:33.4380431Z + [[ false == \t\r\u\e ]]
2025-03-21T20:21:33.4380753Z + install_executorch --use-pt-pinned-commit
2025-03-21T20:21:33.4381107Z + which pip
2025-03-21T20:21:33.4381557Z /opt/conda/envs/py_3.10/bin/pip
2025-03-21T20:21:33.4381989Z + ./install_executorch.sh --pybind xnnpack --use-pt-pinned-commit
2025-03-21T20:21:33.4382577Z 2025-03-21 20:21:32,338 [ExecuTorch] INFO: All required submodules are present.
2025-03-21T20:21:33.4383278Z Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/nightly/cpu
2025-03-21T20:21:33.4384138Z Requirement already satisfied: torch in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (2.7.0a0+git295f2ed)
2025-03-21T20:21:33.4385111Z Requirement already satisfied: torchvision in /var/lib/ci-user/.local/lib/python3.10/site-packages (0.19.0a0+d23a6e1)
2025-03-21T20:21:33.4386197Z Requirement already satisfied: torchaudio in /var/lib/ci-user/.local/lib/python3.10/site-packages (2.6.0a0+c670ad8)
2025-03-21T20:21:33.4386984Z Collecting timm==1.0.7 (from -r requirements-examples.txt (line 3))
2025-03-21T20:21:33.4387535Z   Downloading timm-1.0.7-py3-none-any.whl.metadata (47 kB)
2025-03-21T20:21:33.4388440Z 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)
2025-03-21T20:21:33.4389757Z 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)
2025-03-21T20:21:33.4390698Z Collecting cmake>=3.19 (from -r requirements-dev.txt (line 1))
2025-03-21T20:21:33.4391369Z   Downloading cmake-3.31.6-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (6.3 kB)
2025-03-21T20:21:33.4392380Z 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)
2025-03-21T20:21:33.4393688Z 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)
2025-03-21T20:21:33.4394923Z 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)
2025-03-21T20:21:33.4396154Z 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)
2025-03-21T20:21:33.4397342Z 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)
2025-03-21T20:21:33.4398525Z 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)
2025-03-21T20:21:33.4399846Z 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)
2025-03-21T20:21:33.4401251Z 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)
2025-03-21T20:21:33.4402932Z 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)
2025-03-21T20:21:33.4404392Z 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)
2025-03-21T20:21:46.4739323Z 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)
2025-03-21T20:21:46.4740980Z 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)
2025-03-21T20:21:46.4742602Z 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)
2025-03-21T20:21:46.4744073Z 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)
2025-03-21T20:21:46.4745859Z 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)
2025-03-21T20:21:46.4747133Z 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)
2025-03-21T20:21:46.4748271Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch) (1.13.3)
2025-03-21T20:21:46.4749415Z Requirement already satisfied: networkx in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch) (3.4.2)
2025-03-21T20:21:46.4750390Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch) (3.1.6)
2025-03-21T20:21:46.4751366Z Requirement already satisfied: fsspec in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch) (2025.3.0)
2025-03-21T20:21:46.4752401Z 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)
2025-03-21T20:21:46.4753632Z 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)
2025-03-21T20:21:46.4754739Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch) (3.0.2)
2025-03-21T20:21:46.4756110Z 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)
2025-03-21T20:21:46.4757690Z 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)
2025-03-21T20:21:46.4759326Z 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)
2025-03-21T20:21:46.4760893Z 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)
2025-03-21T20:21:46.4761901Z Downloading timm-1.0.7-py3-none-any.whl (2.3 MB)
2025-03-21T20:21:46.4763058Z [?25l   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/2.3 MB ? eta -:--:--
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2025-03-21T20:21:46.4764617Z [?25hDownloading cmake-3.31.6-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (27.8 MB)
2025-03-21T20:21:46.4765433Z [?25l   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/27.8 MB ? eta -:--:--
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2025-03-21T20:21:46.4767774Z [?25hInstalling collected packages: cmake, timm
2025-03-21T20:21:46.4768171Z   Attempting uninstall: timm
2025-03-21T20:21:46.4768501Z     Found existing installation: timm 0.6.13
2025-03-21T20:21:46.4768868Z     Uninstalling timm-0.6.13:
2025-03-21T20:21:46.4769228Z       Successfully uninstalled timm-0.6.13
2025-03-21T20:21:46.4769619Z Successfully installed cmake-3.31.6 timm-1.0.7
2025-03-21T20:21:46.4770002Z Processing ./third-party/ao
2025-03-21T20:21:46.4770465Z   Preparing metadata (setup.py) ... [?25l- \ done
2025-03-21T20:21:46.4770959Z [?25hBuilding wheels for collected packages: torchao
2025-03-21T20:21:46.4771649Z   Building wheel for torchao (setup.py) ... [?25l- \ | done
2025-03-21T20:21:46.4772815Z [?25h  Created wheel for torchao: filename=torchao-0.10.0+git64bcf4c-py3-none-any.whl size=758276 sha256=56bccc42819cb5630033fa5a4bb7b5beda0b8309094c74e2b1ccbbbe2eac601f
2025-03-21T20:21:46.4774113Z   Stored in directory: /tmp/pip-ephem-wheel-cache-vfls3yac/wheels/0b/23/ff/2261dc1c4a27252503fe159d9fc88676b133e0e8d621abf36f
2025-03-21T20:21:46.4774865Z Successfully built torchao
2025-03-21T20:21:46.4775194Z Installing collected packages: torchao
2025-03-21T20:21:46.4775580Z Successfully installed torchao-0.10.0+git64bcf4c
2025-03-21T20:21:46.4776602Z Using pip 25.0 from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/pip (python 3.10)
2025-03-21T20:21:46.4777382Z Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/nightly/cpu
2025-03-21T20:21:46.4777963Z Processing /pytorch/executorch
2025-03-21T20:21:46.4778348Z   Running command Preparing metadata (pyproject.toml)
2025-03-21T20:21:46.4778732Z   running dist_info
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2025-03-21T20:21:46.4784590Z   reading manifest file '/tmp/pip-modern-metadata-15arqlxg/executorch.egg-info/SOURCES.txt'
2025-03-21T20:21:46.4785163Z   adding license file 'LICENSE'
2025-03-21T20:21:46.4785698Z   writing manifest file '/tmp/pip-modern-metadata-15arqlxg/executorch.egg-info/SOURCES.txt'
2025-03-21T20:21:46.4786461Z   creating '/tmp/pip-modern-metadata-15arqlxg/executorch-0.6.0a0+be92d7d.dist-info'
2025-03-21T20:21:46.4787149Z   Preparing metadata (pyproject.toml) ... [?25l[?25hdone
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2025-03-21T20:21:46.4790163Z   Obtaining dependency information for flatbuffers from https://files.pythonhosted.org/packages/b8/25/155f9f080d5e4bc0082edfda032ea2bc2b8fab3f4d25d46c1e9dd22a1a89/flatbuffers-25.2.10-py2.py3-none-any.whl.metadata
2025-03-21T20:21:46.4791560Z   Downloading flatbuffers-25.2.10-py2.py3-none-any.whl.metadata (875 bytes)
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2025-03-21T20:21:46.4801934Z   Obtaining dependency information for pytest-xdist from https://files.pythonhosted.org/packages/6d/82/1d96bf03ee4c0fdc3c0cbe61470070e659ca78dc0086fb88b66c185e2449/pytest_xdist-3.6.1-py3-none-any.whl.metadata
2025-03-21T20:21:46.4803493Z   Downloading pytest_xdist-3.6.1-py3-none-any.whl.metadata (4.3 kB)
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2025-03-21T20:21:46.4805588Z   Obtaining dependency information for pytest-rerunfailures from https://files.pythonhosted.org/packages/89/37/54e5ffc7c0cebee7cf30a3ac5915faa7e7abf8bdfdf3228c277f7c192489/pytest_rerunfailures-15.0-py3-none-any.whl.metadata
2025-03-21T20:21:46.4807032Z   Downloading pytest_rerunfailures-15.0-py3-none-any.whl.metadata (19 kB)
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2025-03-21T20:21:59.0351094Z   Obtaining dependency information for tabulate from https://files.pythonhosted.org/packages/40/44/4a5f08c96eb108af5cb50b41f76142f0afa346dfa99d5296fe7202a11854/tabulate-0.9.0-py3-none-any.whl.metadata
2025-03-21T20:21:59.0353496Z   Downloading tabulate-0.9.0-py3-none-any.whl.metadata (34 kB)
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2025-03-21T20:21:59.0378819Z Collecting pytest (from executorch==0.6.0a0+be92d7d)
2025-03-21T20:21:59.0381563Z   Obtaining dependency information for pytest from https://files.pythonhosted.org/packages/30/3d/64ad57c803f1fa1e963a7946b6e0fea4a70df53c1a7fed304586539c2bac/pytest-8.3.5-py3-none-any.whl.metadata
2025-03-21T20:21:59.0383828Z   Downloading pytest-8.3.5-py3-none-any.whl.metadata (7.6 kB)
2025-03-21T20:21:59.0385143Z Collecting execnet>=2.1 (from pytest-xdist->executorch==0.6.0a0+be92d7d)
2025-03-21T20:21:59.0387490Z   Obtaining dependency information for execnet>=2.1 from https://files.pythonhosted.org/packages/43/09/2aea36ff60d16dd8879bdb2f5b3ee0ba8d08cbbdcdfe870e695ce3784385/execnet-2.1.1-py3-none-any.whl.metadata
2025-03-21T20:21:59.0389791Z   Downloading execnet-2.1.1-py3-none-any.whl.metadata (2.9 kB)
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2025-03-21T20:21:59.0401111Z Building wheels for collected packages: executorch
2025-03-21T20:21:59.0401972Z   Running command Building wheel for executorch (pyproject.toml)
2025-03-21T20:21:59.0403396Z   running bdist_wheel
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2025-03-21T20:22:45.2914872Z   [ 97%] Generating selected_operators.yaml for quantized_ops_pybind_lib
2025-03-21T20:22:45.2915363Z   [ 97%] Generating code for kernel registration
2025-03-21T20:22:45.2916476Z   [ 97%] Building CXX object kernels/quantized/CMakeFiles/quantized_ops_pybind_lib.dir/quantized_ops_pybind_lib/RegisterCodegenUnboxedKernelsEverything.cpp.o
2025-03-21T20:22:45.2917440Z   [ 98%] Linking CXX static library libquantized_ops_pybind_lib.a
2025-03-21T20:22:45.2918024Z   [ 98%] Built target quantized_ops_pybind_lib
2025-03-21T20:22:45.2918496Z   [ 98%] Generating selected_operators.yaml for quantized_ops_aot_lib
2025-03-21T20:22:45.2921612Z   quantized_decomposed::add.out quantized_decomposed::choose_qparams.Tensor_out quantized_decomposed::choose_qparams_per_token_asymmetric.out quantized_decomposed::dequantize_per_channel.out quantized_decomposed::dequantize_per_tensor.out quantized_decomposed::dequantize_per_tensor.Tensor_out quantized_decomposed::dequantize_per_token.out quantized_decomposed::mixed_linear.out quantized_decomposed::mixed_mm.out quantized_decomposed::quantize_per_channel.out quantized_decomposed::quantize_per_tensor.out quantized_decomposed::quantize_per_tensor.Tensor_out quantized_decomposed::quantize_per_token.out
2025-03-21T20:22:45.2924611Z   [ 98%] Generating code for kernel registration
2025-03-21T20:22:45.2925388Z   [ 98%] Building CXX object kernels/quantized/CMakeFiles/quantized_ops_aot_lib.dir/quantized_ops_aot_lib/RegisterCPUCustomOps.cpp.o
2025-03-21T20:22:45.2926529Z   [ 98%] Building CXX object kernels/quantized/CMakeFiles/quantized_ops_aot_lib.dir/cpu/embeddingxb.cpp.o
2025-03-21T20:22:45.2927510Z   [ 98%] Building CXX object kernels/quantized/CMakeFiles/quantized_ops_aot_lib.dir/quantized_ops_aot_lib/RegisterSchema.cpp.o
2025-03-21T20:22:45.2928526Z   [ 98%] Building CXX object kernels/quantized/CMakeFiles/quantized_ops_aot_lib.dir/cpu/op_add.cpp.o
2025-03-21T20:22:45.2929590Z   [ 98%] Building CXX object kernels/quantized/CMakeFiles/quantized_ops_aot_lib.dir/cpu/op_choose_qparams.cpp.o
2025-03-21T20:22:45.2930505Z   [ 98%] Building CXX object kernels/quantized/CMakeFiles/quantized_ops_aot_lib.dir/cpu/op_dequantize.cpp.o
2025-03-21T20:22:45.2931398Z   [100%] Building CXX object kernels/quantized/CMakeFiles/quantized_ops_aot_lib.dir/cpu/op_embedding.cpp.o
2025-03-21T20:22:45.2932348Z   [100%] Building CXX object kernels/quantized/CMakeFiles/quantized_ops_aot_lib.dir/cpu/op_embedding2b.cpp.o
2025-03-21T20:22:45.2933407Z   [100%] Building CXX object kernels/quantized/CMakeFiles/quantized_ops_aot_lib.dir/cpu/op_embedding4b.cpp.o
2025-03-21T20:22:45.2934338Z   [100%] Building CXX object kernels/quantized/CMakeFiles/quantized_ops_aot_lib.dir/cpu/op_mixed_linear.cpp.o
2025-03-21T20:22:45.2935255Z   [100%] Building CXX object kernels/quantized/CMakeFiles/quantized_ops_aot_lib.dir/cpu/op_mixed_mm.cpp.o
2025-03-21T20:22:45.2936284Z   [100%] Building CXX object kernels/quantized/CMakeFiles/quantized_ops_aot_lib.dir/cpu/op_quantize.cpp.o
2025-03-21T20:22:45.2937553Z   [100%] Building CXX object kernels/quantized/CMakeFiles/quantized_ops_aot_lib.dir/__/__/runtime/core/exec_aten/util/tensor_util_aten.cpp.o
2025-03-21T20:22:45.2938747Z   [100%] Building CXX object kernels/quantized/CMakeFiles/quantized_ops_aot_lib.dir/__/portable/cpu/util/reduce_util.cpp.o
2025-03-21T20:22:45.2939631Z   [100%] Linking CXX shared library libquantized_ops_aot_lib.so
2025-03-21T20:22:45.2940074Z   [100%] Built target quantized_ops_aot_lib
2025-03-21T20:22:45.2940436Z   running build_py
2025-03-21T20:22:45.2940839Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm
2025-03-21T20:22:45.2941565Z   copying backends/arm/arm_backend.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm
2025-03-21T20:22:45.2942530Z   copying backends/arm/arm_vela.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm
2025-03-21T20:22:45.2943500Z   copying backends/arm/ethosu_backend.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm
2025-03-21T20:22:45.2944459Z   copying backends/arm/ethosu_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm
2025-03-21T20:22:45.2945471Z   copying backends/arm/process_node.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm
2025-03-21T20:22:45.2946320Z   copying backends/arm/tosa_backend.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm
2025-03-21T20:22:45.2947253Z   copying backends/arm/tosa_mapping.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm
2025-03-21T20:22:45.2948122Z   copying backends/arm/tosa_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm
2025-03-21T20:22:45.2949004Z   copying backends/arm/tosa_quant_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm
2025-03-21T20:22:45.2950017Z   copying backends/arm/tosa_specification.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm
2025-03-21T20:22:45.2950891Z   copying backends/arm/tosa_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm
2025-03-21T20:22:45.2951624Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example
2025-03-21T20:22:45.2952423Z   copying backends/example/example_backend.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example
2025-03-21T20:22:45.2953839Z   copying backends/example/example_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example
2025-03-21T20:22:45.2955095Z   copying backends/example/example_quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example
2025-03-21T20:22:45.2956089Z   copying backends/example/test_example_delegate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example
2025-03-21T20:22:45.2957044Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek
2025-03-21T20:22:45.2957815Z   copying backends/mediatek/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek
2025-03-21T20:22:45.2958730Z   copying backends/mediatek/partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek
2025-03-21T20:22:45.2959688Z   copying backends/mediatek/preprocess.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek
2025-03-21T20:22:45.2960480Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm
2025-03-21T20:22:45.2961270Z   copying backends/qualcomm/qnn_preprocess.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm
2025-03-21T20:22:45.2962063Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms
2025-03-21T20:22:45.2962839Z   copying backends/transforms/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms
2025-03-21T20:22:45.2963802Z   copying backends/transforms/addmm_mm_to_linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms
2025-03-21T20:22:45.2964983Z   copying backends/transforms/convert_dtype_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms
2025-03-21T20:22:45.2966004Z   copying backends/transforms/decompose_sdpa.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms
2025-03-21T20:22:45.2967069Z   copying backends/transforms/duplicate_dynamic_quant_chain.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms
2025-03-21T20:22:45.2968167Z   copying backends/transforms/fuse_batch_norm_with_conv.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms
2025-03-21T20:22:45.2969217Z   copying backends/transforms/fuse_conv_with_clamp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms
2025-03-21T20:22:45.2970250Z   copying backends/transforms/fuse_dequant_linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms
2025-03-21T20:22:45.2971256Z   copying backends/transforms/fuse_view_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms
2025-03-21T20:22:45.2972534Z   copying backends/transforms/mean_to_sum_div.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms
2025-03-21T20:22:45.2973630Z   copying backends/transforms/rank_0_to_rank_1.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms
2025-03-21T20:22:45.2974738Z   copying backends/transforms/remove_clone_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms
2025-03-21T20:22:45.2975924Z   copying backends/transforms/replace_scalar_with_tensor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms
2025-03-21T20:22:45.2976924Z   copying backends/transforms/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms
2025-03-21T20:22:45.2977941Z   copying backends/transforms/view_copy_to_squeeze_unsqueeze.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms
2025-03-21T20:22:45.2978838Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan
2025-03-21T20:22:45.3330872Z   copying backends/vulkan/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan
2025-03-21T20:22:45.3331807Z   copying backends/vulkan/custom_ops_lib.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan
2025-03-21T20:22:45.3332861Z   copying backends/vulkan/op_registry.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan
2025-03-21T20:22:45.3333754Z   copying backends/vulkan/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan
2025-03-21T20:22:45.3334740Z   copying backends/vulkan/vulkan_preprocess.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan
2025-03-21T20:22:45.3335530Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack
2025-03-21T20:22:45.3336515Z   copying backends/xnnpack/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack
2025-03-21T20:22:45.3337559Z   copying backends/xnnpack/xnnpack_preprocess.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack
2025-03-21T20:22:45.3338396Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps
2025-03-21T20:22:45.3339184Z   copying backends/apple/mps/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps
2025-03-21T20:22:45.3340290Z   copying backends/apple/mps/mps_preprocess.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps
2025-03-21T20:22:45.3341163Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/compiler
2025-03-21T20:22:45.3342191Z   copying backends/apple/coreml/compiler/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/compiler
2025-03-21T20:22:45.3343596Z   copying backends/apple/coreml/compiler/coreml_preprocess.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/compiler
2025-03-21T20:22:45.3344618Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/partition
2025-03-21T20:22:45.3345587Z   copying backends/apple/coreml/partition/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/partition
2025-03-21T20:22:45.3346828Z   copying backends/apple/coreml/partition/coreml_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/partition
2025-03-21T20:22:45.3347853Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/quantizer
2025-03-21T20:22:45.3348969Z   copying backends/apple/coreml/quantizer/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/quantizer
2025-03-21T20:22:45.3350173Z   copying backends/apple/coreml/quantizer/coreml_quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/quantizer
2025-03-21T20:22:45.3351237Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/test
2025-03-21T20:22:45.3352611Z   copying backends/apple/coreml/test/test_coreml_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/test
2025-03-21T20:22:45.3353961Z   copying backends/apple/coreml/test/test_coreml_quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/test
2025-03-21T20:22:45.3354990Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/runtime/inmemoryfs
2025-03-21T20:22:45.3356249Z   copying backends/apple/coreml/runtime/inmemoryfs/setup.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/runtime/inmemoryfs
2025-03-21T20:22:45.3357474Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/runtime/test
2025-03-21T20:22:45.3358679Z   copying backends/apple/coreml/runtime/test/export_stateful_model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/runtime/test
2025-03-21T20:22:45.3359793Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:22:45.3360710Z   copying backends/apple/mps/operators/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:22:45.3361878Z   copying backends/apple/mps/operators/activation_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:22:45.3363169Z   copying backends/apple/mps/operators/binary_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:22:45.3364374Z   copying backends/apple/mps/operators/clamp_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:22:45.3365621Z   copying backends/apple/mps/operators/constant_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:22:45.3366820Z   copying backends/apple/mps/operators/convolution_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:22:45.3368002Z   copying backends/apple/mps/operators/indexing_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:22:45.3369340Z   copying backends/apple/mps/operators/linear_algebra_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:22:45.3370528Z   copying backends/apple/mps/operators/node_visitor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:22:45.3371795Z   copying backends/apple/mps/operators/normalization_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:22:45.3373095Z   copying backends/apple/mps/operators/op_clone.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:22:45.3374218Z   copying backends/apple/mps/operators/op_getitem.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:22:45.3375515Z   copying backends/apple/mps/operators/op_quant_dequant.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:22:45.3376677Z   copying backends/apple/mps/operators/op_skip_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:22:45.3378003Z   copying backends/apple/mps/operators/pad_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:22:45.3379239Z   copying backends/apple/mps/operators/pooling_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:22:45.3380397Z   copying backends/apple/mps/operators/range_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:22:45.3381593Z   copying backends/apple/mps/operators/reduce_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:22:45.3382811Z   copying backends/apple/mps/operators/shape_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:22:45.3384129Z   copying backends/apple/mps/operators/unary_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:22:45.3385169Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/partition
2025-03-21T20:22:45.3386079Z   copying backends/apple/mps/partition/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/partition
2025-03-21T20:22:45.3387231Z   copying backends/apple/mps/partition/mps_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/partition
2025-03-21T20:22:45.3388303Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/serialization
2025-03-21T20:22:45.3389479Z   copying backends/apple/mps/serialization/mps_graph_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/serialization
2025-03-21T20:22:45.3390779Z   copying backends/apple/mps/serialization/mps_graph_serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/serialization
2025-03-21T20:22:45.3391862Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test
2025-03-21T20:22:45.3392822Z   copying backends/apple/mps/test/test_mps.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test
2025-03-21T20:22:45.3393980Z   copying backends/apple/mps/test/test_mps_binary_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test
2025-03-21T20:22:45.3395105Z   copying backends/apple/mps/test/test_mps_indexing_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test
2025-03-21T20:22:45.3396341Z   copying backends/apple/mps/test/test_mps_linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test
2025-03-21T20:22:45.3397425Z   copying backends/apple/mps/test/test_mps_models.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test
2025-03-21T20:22:45.3398581Z   copying backends/apple/mps/test/test_mps_unary_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test
2025-03-21T20:22:45.3399746Z   copying backends/apple/mps/test/test_mps_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test
2025-03-21T20:22:45.3400629Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/utils
2025-03-21T20:22:45.3401485Z   copying backends/apple/mps/utils/mps_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/utils
2025-03-21T20:22:45.3402844Z   copying backends/apple/mps/utils/quant_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/utils
2025-03-21T20:22:45.3403726Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:22:45.3404677Z   copying backends/arm/_passes/_debug_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:22:45.3760652Z   copying backends/arm/_passes/annotate_channels_last_dim_order_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:22:45.3761988Z   copying backends/arm/_passes/annotate_decomposed_matmul.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:22:45.3763102Z   copying backends/arm/_passes/arm_pass_manager.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:22:45.3764098Z   copying backends/arm/_passes/arm_pass_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:22:45.3765244Z   copying backends/arm/_passes/cast_int64_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:22:45.3766348Z   copying backends/arm/_passes/conv1d_unsqueeze_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:22:45.3767472Z   copying backends/arm/_passes/convert_any_default_dim_dims_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:22:45.3769073Z   copying backends/arm/_passes/convert_expand_copy_to_repeat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:22:45.3770229Z   copying backends/arm/_passes/convert_full_like_to_full_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:22:45.3771531Z   copying backends/arm/_passes/convert_minmax_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:22:45.3772711Z   copying backends/arm/_passes/convert_split_to_slice.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:22:45.3773770Z   copying backends/arm/_passes/convert_squeezes_to_view.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:22:45.3774946Z   copying backends/arm/_passes/convert_to_clamp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:22:45.3775986Z   copying backends/arm/_passes/decompose_batchnorm_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:22:45.3777100Z   copying backends/arm/_passes/decompose_div_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:22:45.3778294Z   copying backends/arm/_passes/decompose_layernorm_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:22:45.3779367Z   copying backends/arm/_passes/decompose_linear_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:22:45.3780427Z   copying backends/arm/_passes/decompose_meandim_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:22:45.3781546Z   copying backends/arm/_passes/decompose_select.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:22:45.3782638Z   copying backends/arm/_passes/decompose_softmax_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:22:45.3783791Z   copying backends/arm/_passes/decompose_softmax_unstable_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:22:45.3785084Z   copying backends/arm/_passes/decompose_var_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:22:45.3786173Z   copying backends/arm/_passes/fold_qdq_with_annotated_qparams_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:22:45.3787281Z   copying backends/arm/_passes/fuse_batchnorm2d_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:22:45.3788317Z   copying backends/arm/_passes/fuse_constant_ops_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:22:45.3789403Z   copying backends/arm/_passes/fuse_quantized_activation_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:22:45.3790487Z   copying backends/arm/_passes/insert_rescales_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:22:45.3791637Z   copying backends/arm/_passes/insert_table_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:22:45.3792675Z   copying backends/arm/_passes/keep_dims_false_to_squeeze_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:22:45.3793929Z   copying backends/arm/_passes/match_arg_ranks_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:22:45.3795149Z   copying backends/arm/_passes/meandim_to_averagepool_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:22:45.3796179Z   copying backends/arm/_passes/mm_to_bmm_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:22:45.3797154Z   copying backends/arm/_passes/remove_clone_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:22:45.3798460Z   copying backends/arm/_passes/scalars_to_attribute_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:22:45.3799520Z   copying backends/arm/_passes/size_adjust_conv2d_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:22:45.3800643Z   copying backends/arm/_passes/unsqueeze_before_repeat_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:22:45.3802403Z   copying backends/arm/_passes/unsqueeze_scalar_placeholders_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:22:45.3803390Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:22:45.3804461Z   copying backends/arm/operator_support/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:22:45.3805638Z   copying backends/arm/operator_support/convolution_support.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:22:45.3806947Z   copying backends/arm/operator_support/minmax_support.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:22:45.3808213Z   copying backends/arm/operator_support/pool_2d_support.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:22:45.3809409Z   copying backends/arm/operator_support/reduce_sum_support.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:22:45.3810739Z   copying backends/arm/operator_support/right_shift_support.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:22:45.3812011Z   copying backends/arm/operator_support/slice_copy_support.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:22:45.3813391Z   copying backends/arm/operator_support/to_copy_support.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:22:45.3814631Z   copying backends/arm/operator_support/tosa_supported_operators.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:22:45.3815610Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:22:45.3816579Z   copying backends/arm/operators/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:22:45.3817595Z   copying backends/arm/operators/node_visitor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:22:45.3818650Z   copying backends/arm/operators/op_abs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:22:45.3819754Z   copying backends/arm/operators/op_add.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:22:45.3820738Z   copying backends/arm/operators/op_amax.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:22:45.3821718Z   copying backends/arm/operators/op_amin.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:22:45.3822832Z   copying backends/arm/operators/op_any.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:22:45.3823878Z   copying backends/arm/operators/op_avg_pool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:22:45.3824929Z   copying backends/arm/operators/op_bmm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:22:45.3826052Z   copying backends/arm/operators/op_cat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:22:45.3827035Z   copying backends/arm/operators/op_clamp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:22:45.3828273Z   copying backends/arm/operators/op_constant_pad_nd.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:22:45.3829449Z   copying backends/arm/operators/op_conv2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:22:45.3830438Z   copying backends/arm/operators/op_eq.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:22:45.3831463Z   copying backends/arm/operators/op_exp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:22:45.3832678Z   copying backends/arm/operators/op_full.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:22:45.4194842Z   copying backends/arm/operators/op_ge.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:22:45.4196025Z   copying backends/arm/operators/op_get_item.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:22:45.4197068Z   copying backends/arm/operators/op_gt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:22:45.4198081Z   copying backends/arm/operators/op_le.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:22:45.4199048Z   copying backends/arm/operators/op_log.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:22:45.4200120Z   copying backends/arm/operators/op_lt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:22:45.4201250Z   copying backends/arm/operators/op_max_pool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:22:45.4202590Z   copying backends/arm/operators/op_maximum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:22:45.4203774Z   copying backends/arm/operators/op_minimum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:22:45.4204803Z   copying backends/arm/operators/op_mul.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:22:45.4205866Z   copying backends/arm/operators/op_permute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:22:45.4207062Z   copying backends/arm/operators/op_reciprocal.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:22:45.4208224Z   copying backends/arm/operators/op_repeat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:22:45.4209295Z   copying backends/arm/operators/op_rescale.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:22:45.4210312Z   copying backends/arm/operators/op_rshift.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:22:45.4211471Z   copying backends/arm/operators/op_rsqrt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:22:45.4212483Z   copying backends/arm/operators/op_sigmoid.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:22:45.4213555Z   copying backends/arm/operators/op_slice.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:22:45.4214743Z   copying backends/arm/operators/op_sub.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:22:45.4215784Z   copying backends/arm/operators/op_sum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:22:45.4216779Z   copying backends/arm/operators/op_table.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:22:45.4217816Z   copying backends/arm/operators/op_tanh.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:22:45.4218885Z   copying backends/arm/operators/op_to_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:22:45.4220214Z   copying backends/arm/operators/op_to_dim_order_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:22:45.4221458Z   copying backends/arm/operators/op_transpose.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:22:45.4222611Z   copying backends/arm/operators/op_upsample_nearest2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:22:45.4223800Z   copying backends/arm/operators/op_view.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:22:45.4224805Z   copying backends/arm/operators/ops_binary.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:22:45.4225811Z   copying backends/arm/operators/ops_unary.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:22:45.4226654Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer
2025-03-21T20:22:45.4227464Z   copying backends/arm/quantizer/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer
2025-03-21T20:22:45.4228476Z   copying backends/arm/quantizer/arm_quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer
2025-03-21T20:22:45.4229541Z   copying backends/arm/quantizer/arm_quantizer_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer
2025-03-21T20:22:45.4230675Z   copying backends/arm/quantizer/quantization_annotator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer
2025-03-21T20:22:45.4231952Z   copying backends/arm/quantizer/quantization_config.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer
2025-03-21T20:22:45.4232838Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test
2025-03-21T20:22:45.4233791Z   copying backends/arm/test/common.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test
2025-03-21T20:22:45.4234678Z   copying backends/arm/test/conftest.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test
2025-03-21T20:22:45.4235817Z   copying backends/arm/test/runner_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test
2025-03-21T20:22:45.4236800Z   copying backends/arm/test/test_model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test
2025-03-21T20:22:45.4237581Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/util
2025-03-21T20:22:45.4238409Z   copying backends/arm/util/arm_model_evaluator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/util
2025-03-21T20:22:45.4239239Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:22:45.4240133Z   copying backends/arm/test/misc/test_custom_partition.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:22:45.4241216Z   copying backends/arm/test/misc/test_debug_feats.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:22:45.4242297Z   copying backends/arm/test/misc/test_dim_order_guards.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:22:45.4243518Z   copying backends/arm/test/misc/test_lifted_tensor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:22:45.4244607Z   copying backends/arm/test/misc/test_model_evaluator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:22:45.4245783Z   copying backends/arm/test/misc/test_multiple_delegates.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:22:45.4247100Z   copying backends/arm/test/misc/test_multiple_outputs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:22:45.4248365Z   copying backends/arm/test/misc/test_partition_decomposed_quantized_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:22:45.4249796Z   copying backends/arm/test/misc/test_tosa_spec.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:22:45.4250666Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:22:45.4251631Z   copying backends/arm/test/models/test_conformer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:22:45.4252933Z   copying backends/arm/test/models/test_dl3_arm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:22:45.4254131Z   copying backends/arm/test/models/test_llama.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:22:45.4255195Z   copying backends/arm/test/models/test_lstm_arm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:22:45.4256311Z   copying backends/arm/test/models/test_mobilenet_v2_arm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:22:45.4257446Z   copying backends/arm/test/models/test_nn_functional.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:22:45.4258684Z   copying backends/arm/test/models/test_nn_modules.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:22:45.4259800Z   copying backends/arm/test/models/test_torch_functions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:22:45.4260957Z   copying backends/arm/test/models/test_w2l_arm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:22:45.4262017Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4262912Z   copying backends/arm/test/ops/test_abs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4263884Z   copying backends/arm/test/ops/test_add.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4264855Z   copying backends/arm/test/ops/test_amax.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4265814Z   copying backends/arm/test/ops/test_amin.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4266921Z   copying backends/arm/test/ops/test_any.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4699821Z   copying backends/arm/test/ops/test_avg_pool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4701052Z   copying backends/arm/test/ops/test_batch_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4702511Z   copying backends/arm/test/ops/test_bitwise.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4703567Z   copying backends/arm/test/ops/test_bmm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4704564Z   copying backends/arm/test/ops/test_cat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4705705Z   copying backends/arm/test/ops/test_clamp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4706687Z   copying backends/arm/test/ops/test_clone.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4707858Z   copying backends/arm/test/ops/test_constant_pad_nd.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4708892Z   copying backends/arm/test/ops/test_conv1d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4709941Z   copying backends/arm/test/ops/test_conv2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4711251Z   copying backends/arm/test/ops/test_conv_combos.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4712442Z   copying backends/arm/test/ops/test_depthwise_conv.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4713681Z   copying backends/arm/test/ops/test_div.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4714861Z   copying backends/arm/test/ops/test_eq.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4715812Z   copying backends/arm/test/ops/test_exp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4717015Z   copying backends/arm/test/ops/test_expand.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4718114Z   copying backends/arm/test/ops/test_floor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4719197Z   copying backends/arm/test/ops/test_full.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4720328Z   copying backends/arm/test/ops/test_ge.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4721281Z   copying backends/arm/test/ops/test_gt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4722311Z   copying backends/arm/test/ops/test_hardsigmoid.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4723454Z   copying backends/arm/test/ops/test_hardswish.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4724485Z   copying backends/arm/test/ops/test_hardtanh.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4725666Z   copying backends/arm/test/ops/test_layer_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4726777Z   copying backends/arm/test/ops/test_le.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4727862Z   copying backends/arm/test/ops/test_linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4728994Z   copying backends/arm/test/ops/test_log.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4729995Z   copying backends/arm/test/ops/test_logical.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4731010Z   copying backends/arm/test/ops/test_logsoftmax.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4732014Z   copying backends/arm/test/ops/test_lt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4733012Z   copying backends/arm/test/ops/test_max_pool.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4734029Z   copying backends/arm/test/ops/test_maximum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4735178Z   copying backends/arm/test/ops/test_mean_dim.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4736196Z   copying backends/arm/test/ops/test_minimum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4737249Z   copying backends/arm/test/ops/test_mm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4738271Z   copying backends/arm/test/ops/test_mul.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4739340Z   copying backends/arm/test/ops/test_permute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4740507Z   copying backends/arm/test/ops/test_reciprocal.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4741661Z   copying backends/arm/test/ops/test_relu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4742660Z   copying backends/arm/test/ops/test_repeat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4743729Z   copying backends/arm/test/ops/test_rshift.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4744959Z   copying backends/arm/test/ops/test_rsqrt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4745952Z   copying backends/arm/test/ops/test_scalars.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4746954Z   copying backends/arm/test/ops/test_select.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4747972Z   copying backends/arm/test/ops/test_sigmoid.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4749002Z   copying backends/arm/test/ops/test_sigmoid_16bit.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4750056Z   copying backends/arm/test/ops/test_sigmoid_32bit.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4751083Z   copying backends/arm/test/ops/test_slice.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4752267Z   copying backends/arm/test/ops/test_softmax.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4753383Z   copying backends/arm/test/ops/test_split.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4754444Z   copying backends/arm/test/ops/test_squeeze.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4755493Z   copying backends/arm/test/ops/test_sub.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4756531Z   copying backends/arm/test/ops/test_sum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4757498Z   copying backends/arm/test/ops/test_tanh.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4758491Z   copying backends/arm/test/ops/test_to_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4759501Z   copying backends/arm/test/ops/test_unsqueeze.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4760561Z   copying backends/arm/test/ops/test_upsample_nearest2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4761787Z   copying backends/arm/test/ops/test_var.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4762765Z   copying backends/arm/test/ops/test_view.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:22:45.4763607Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:22:45.4764756Z   copying backends/arm/test/passes/test_cast_int64_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:22:45.4766156Z   copying backends/arm/test/passes/test_convert_to_clamp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:22:45.4767366Z   copying backends/arm/test/passes/test_fold_qdq_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:22:45.4768571Z   copying backends/arm/test/passes/test_fuse_batchnorm_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:22:45.4769917Z   copying backends/arm/test/passes/test_fuse_constant_ops_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:22:45.4771187Z   copying backends/arm/test/passes/test_insert_table_ops_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:22:45.4772369Z   copying backends/arm/test/passes/test_ioquantization_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:22:45.5016190Z   copying backends/arm/test/passes/test_meandim_to_averagepool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:22:45.5017840Z   copying backends/arm/test/passes/test_rescale_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:22:45.5019046Z   copying backends/arm/test/passes/test_unsqueeze_before_repeat_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:22:45.5020121Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/quantizer
2025-03-21T20:22:45.5021172Z   copying backends/arm/test/quantizer/test_generic_annotater.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/quantizer
2025-03-21T20:22:45.5022199Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tester
2025-03-21T20:22:45.5023083Z   copying backends/arm/test/tester/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tester
2025-03-21T20:22:45.5024320Z   copying backends/arm/test/tester/analyze_output_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tester
2025-03-21T20:22:45.5025497Z   copying backends/arm/test/tester/arm_tester.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tester
2025-03-21T20:22:45.5026578Z   copying backends/arm/test/tester/test_pipeline.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tester
2025-03-21T20:22:45.5027624Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tosautil
2025-03-21T20:22:45.5028515Z   copying backends/arm/test/tosautil/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tosautil
2025-03-21T20:22:45.5029482Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib
2025-03-21T20:22:45.5030741Z   copying backends/arm/third-party/serialization_lib/setup.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib
2025-03-21T20:22:45.5032116Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/serializer
2025-03-21T20:22:45.5033688Z   copying backends/arm/third-party/serialization_lib/python/serializer/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/serializer
2025-03-21T20:22:45.5035753Z   copying backends/arm/third-party/serialization_lib/python/serializer/tosa_serializer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/serializer
2025-03-21T20:22:45.5037502Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:22:45.5039289Z   copying backends/arm/third-party/serialization_lib/python/tosa/ArithmeticRightShiftAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:22:45.5041111Z   copying backends/arm/third-party/serialization_lib/python/tosa/Attribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:22:45.5042791Z   copying backends/arm/third-party/serialization_lib/python/tosa/AxisAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:22:45.5044661Z   copying backends/arm/third-party/serialization_lib/python/tosa/ClampAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:22:45.5046617Z   copying backends/arm/third-party/serialization_lib/python/tosa/CondIfAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:22:45.5048573Z   copying backends/arm/third-party/serialization_lib/python/tosa/ConvAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:22:45.5050594Z   copying backends/arm/third-party/serialization_lib/python/tosa/CustomAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:22:45.5052518Z   copying backends/arm/third-party/serialization_lib/python/tosa/DType.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:22:45.5054336Z   copying backends/arm/third-party/serialization_lib/python/tosa/FFTAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:22:45.5056105Z   copying backends/arm/third-party/serialization_lib/python/tosa/FullyConnectedAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:22:45.5057892Z   copying backends/arm/third-party/serialization_lib/python/tosa/MatMulAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:22:45.5059607Z   copying backends/arm/third-party/serialization_lib/python/tosa/MulAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:22:45.5061970Z   copying backends/arm/third-party/serialization_lib/python/tosa/NegateAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:22:45.5063742Z   copying backends/arm/third-party/serialization_lib/python/tosa/Op.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:22:45.5065382Z   copying backends/arm/third-party/serialization_lib/python/tosa/PadAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:22:45.5067088Z   copying backends/arm/third-party/serialization_lib/python/tosa/PoolAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:22:45.5068785Z   copying backends/arm/third-party/serialization_lib/python/tosa/RFFTAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:22:45.5070727Z   copying backends/arm/third-party/serialization_lib/python/tosa/RescaleAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:22:45.5072480Z   copying backends/arm/third-party/serialization_lib/python/tosa/ReshapeAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:22:45.5074326Z   copying backends/arm/third-party/serialization_lib/python/tosa/ResizeAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:22:45.5076030Z   copying backends/arm/third-party/serialization_lib/python/tosa/ResizeMode.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:22:45.5077924Z   copying backends/arm/third-party/serialization_lib/python/tosa/SliceAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:22:45.5079644Z   copying backends/arm/third-party/serialization_lib/python/tosa/TableAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:22:45.5081519Z   copying backends/arm/third-party/serialization_lib/python/tosa/TileAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:22:45.5083232Z   copying backends/arm/third-party/serialization_lib/python/tosa/TosaBasicBlock.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:22:45.5085134Z   copying backends/arm/third-party/serialization_lib/python/tosa/TosaGraph.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:22:45.5086817Z   copying backends/arm/third-party/serialization_lib/python/tosa/TosaOperator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:22:45.5088494Z   copying backends/arm/third-party/serialization_lib/python/tosa/TosaRegion.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:22:45.5090313Z   copying backends/arm/third-party/serialization_lib/python/tosa/TosaTensor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:22:45.5092064Z   copying backends/arm/third-party/serialization_lib/python/tosa/TransposeAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:22:45.5450218Z   copying backends/arm/third-party/serialization_lib/python/tosa/TransposeConvAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:22:45.5452776Z   copying backends/arm/third-party/serialization_lib/python/tosa/Version.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:22:45.5454504Z   copying backends/arm/third-party/serialization_lib/python/tosa/WhileLoopAttribute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:22:45.5456200Z   copying backends/arm/third-party/serialization_lib/python/tosa/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:22:45.5457534Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/test/scripts
2025-03-21T20:22:45.5458902Z   copying backends/arm/third-party/serialization_lib/test/scripts/test_npy_fileio.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/test/scripts
2025-03-21T20:22:45.5460302Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/test/scripts/xunit
2025-03-21T20:22:45.5461713Z   copying backends/arm/third-party/serialization_lib/test/scripts/xunit/xunit.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/test/scripts/xunit
2025-03-21T20:22:45.5462921Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:22:45.5463707Z   copying backends/cadence/aot/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:22:45.5464662Z   copying backends/cadence/aot/compiler.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:22:45.5465660Z   copying backends/cadence/aot/compiler_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:22:45.5466828Z   copying backends/cadence/aot/export_example.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:22:45.5478273Z   copying backends/cadence/aot/fuse_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:22:45.5479816Z   copying backends/cadence/aot/graph_builder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:22:45.5480867Z   copying backends/cadence/aot/memory_constraints.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:22:45.5482046Z   copying backends/cadence/aot/memory_planning.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:22:45.5483077Z   copying backends/cadence/aot/ops_registrations.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:22:45.5484227Z   copying backends/cadence/aot/pass_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:22:45.5485195Z   copying backends/cadence/aot/passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:22:45.5486198Z   copying backends/cadence/aot/ref_implementations.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:22:45.5487220Z   copying backends/cadence/aot/remove_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:22:45.5488199Z   copying backends/cadence/aot/reorder_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:22:45.5489185Z   copying backends/cadence/aot/replace_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:22:45.5490337Z   copying backends/cadence/aot/simplify_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:22:45.5491475Z   copying backends/cadence/aot/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:22:45.5492455Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/runtime
2025-03-21T20:22:45.5493462Z   copying backends/cadence/runtime/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/runtime
2025-03-21T20:22:45.5494628Z   copying backends/cadence/runtime/executor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/runtime
2025-03-21T20:22:45.5495681Z   copying backends/cadence/runtime/runtime.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/runtime
2025-03-21T20:22:45.5496712Z   copying backends/cadence/runtime/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/runtime
2025-03-21T20:22:45.5497699Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils
2025-03-21T20:22:45.5498566Z   copying backends/cadence/utils/facto_util.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils
2025-03-21T20:22:45.5499641Z   copying backends/cadence/utils/gen_header.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils
2025-03-21T20:22:45.5500706Z   copying backends/cadence/utils/post_compilation.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils
2025-03-21T20:22:45.5501714Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/quantizer
2025-03-21T20:22:45.5503017Z   copying backends/cadence/aot/quantizer/fusion_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/quantizer
2025-03-21T20:22:45.5504326Z   copying backends/cadence/aot/quantizer/patterns.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/quantizer
2025-03-21T20:22:45.5505510Z   copying backends/cadence/aot/quantizer/quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/quantizer
2025-03-21T20:22:45.5506751Z   copying backends/cadence/aot/quantizer/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/quantizer
2025-03-21T20:22:45.5508007Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests
2025-03-21T20:22:45.5509142Z   copying backends/cadence/aot/tests/test_fusion_ops_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests
2025-03-21T20:22:45.5510819Z   copying backends/cadence/aot/tests/test_graph_builder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests
2025-03-21T20:22:45.5512130Z   copying backends/cadence/aot/tests/test_memory_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests
2025-03-21T20:22:45.5513411Z   copying backends/cadence/aot/tests/test_pass_filter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests
2025-03-21T20:22:45.5514787Z   copying backends/cadence/aot/tests/test_remove_ops_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests
2025-03-21T20:22:45.5516137Z   copying backends/cadence/aot/tests/test_reorder_ops_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests
2025-03-21T20:22:45.5517327Z   copying backends/cadence/aot/tests/test_replace_ops_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests
2025-03-21T20:22:45.5518604Z   copying backends/cadence/aot/tests/test_simplify_ops_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests
2025-03-21T20:22:45.5519680Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO
2025-03-21T20:22:45.5520615Z   copying backends/cadence/utils/FACTO/setup.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO
2025-03-21T20:22:45.5521585Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/calibrator
2025-03-21T20:22:45.5522820Z   copying backends/cadence/utils/FACTO/calibrator/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/calibrator
2025-03-21T20:22:45.5524173Z   copying backends/cadence/utils/FACTO/calibrator/runner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/calibrator
2025-03-21T20:22:45.5525320Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/examples
2025-03-21T20:22:45.5526549Z   copying backends/cadence/utils/FACTO/examples/example.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/examples
2025-03-21T20:22:45.5527915Z   copying backends/cadence/utils/FACTO/examples/minimal_example.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/examples
2025-03-21T20:22:45.5529432Z   copying backends/cadence/utils/FACTO/examples/random_seed.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/examples
2025-03-21T20:22:45.5530510Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto
2025-03-21T20:22:45.5531703Z   copying backends/cadence/utils/FACTO/facto/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto
2025-03-21T20:22:45.5532994Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen
2025-03-21T20:22:45.5534288Z   copying backends/cadence/utils/FACTO/facto/inputgen/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen
2025-03-21T20:22:45.5535618Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb
2025-03-21T20:22:45.5752649Z   copying backends/cadence/utils/FACTO/facto/specdb/db.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb
2025-03-21T20:22:45.5754420Z   copying backends/cadence/utils/FACTO/facto/specdb/default.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb
2025-03-21T20:22:45.5755841Z   copying backends/cadence/utils/FACTO/facto/specdb/dtypes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb
2025-03-21T20:22:45.5757264Z   copying backends/cadence/utils/FACTO/facto/specdb/function.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb
2025-03-21T20:22:45.5758933Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple
2025-03-21T20:22:45.5760540Z   copying backends/cadence/utils/FACTO/facto/inputgen/argtuple/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple
2025-03-21T20:22:45.5762278Z   copying backends/cadence/utils/FACTO/facto/inputgen/argtuple/engine.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple
2025-03-21T20:22:45.5764464Z   copying backends/cadence/utils/FACTO/facto/inputgen/argtuple/gen.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple
2025-03-21T20:22:45.5765774Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument
2025-03-21T20:22:45.5767159Z   copying backends/cadence/utils/FACTO/facto/inputgen/argument/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument
2025-03-21T20:22:45.5768990Z   copying backends/cadence/utils/FACTO/facto/inputgen/argument/engine.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument
2025-03-21T20:22:45.5770642Z   copying backends/cadence/utils/FACTO/facto/inputgen/argument/gen.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument
2025-03-21T20:22:45.5772537Z   copying backends/cadence/utils/FACTO/facto/inputgen/argument/type.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument
2025-03-21T20:22:45.5773924Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute
2025-03-21T20:22:45.5775271Z   copying backends/cadence/utils/FACTO/facto/inputgen/attribute/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute
2025-03-21T20:22:45.5777062Z   copying backends/cadence/utils/FACTO/facto/inputgen/attribute/engine.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute
2025-03-21T20:22:45.5778995Z   copying backends/cadence/utils/FACTO/facto/inputgen/attribute/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute
2025-03-21T20:22:45.5780750Z   copying backends/cadence/utils/FACTO/facto/inputgen/attribute/solve.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute
2025-03-21T20:22:45.5782221Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/specs
2025-03-21T20:22:45.5783484Z   copying backends/cadence/utils/FACTO/facto/inputgen/specs/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/specs
2025-03-21T20:22:45.5785067Z   copying backends/cadence/utils/FACTO/facto/inputgen/specs/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/specs
2025-03-21T20:22:45.5786589Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/utils
2025-03-21T20:22:45.5787858Z   copying backends/cadence/utils/FACTO/facto/inputgen/utils/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/utils
2025-03-21T20:22:45.5789555Z   copying backends/cadence/utils/FACTO/facto/inputgen/utils/random_manager.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/utils
2025-03-21T20:22:45.5790985Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
2025-03-21T20:22:45.5792340Z   copying backends/cadence/utils/FACTO/facto/inputgen/variable/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
2025-03-21T20:22:45.5794264Z   copying backends/cadence/utils/FACTO/facto/inputgen/variable/constants.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
2025-03-21T20:22:45.5795922Z   copying backends/cadence/utils/FACTO/facto/inputgen/variable/gen.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
2025-03-21T20:22:45.5797919Z   copying backends/cadence/utils/FACTO/facto/inputgen/variable/solve.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
2025-03-21T20:22:45.5799632Z   copying backends/cadence/utils/FACTO/facto/inputgen/variable/space.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
2025-03-21T20:22:45.5801473Z   copying backends/cadence/utils/FACTO/facto/inputgen/variable/type.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
2025-03-21T20:22:45.5803506Z   copying backends/cadence/utils/FACTO/facto/inputgen/variable/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
2025-03-21T20:22:45.5804926Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:22:45.5806201Z   copying backends/cadence/utils/FACTO/test/inputgen/test_argtuple_engine.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:22:45.5807761Z   copying backends/cadence/utils/FACTO/test/inputgen/test_argtuple_generator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:22:45.5809441Z   copying backends/cadence/utils/FACTO/test/inputgen/test_argument_attributes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:22:45.5811246Z   copying backends/cadence/utils/FACTO/test/inputgen/test_argument_generator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:22:45.5812840Z   copying backends/cadence/utils/FACTO/test/inputgen/test_argument_types.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:22:45.5814555Z   copying backends/cadence/utils/FACTO/test/inputgen/test_attribute_engine.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:22:45.5816121Z   copying backends/cadence/utils/FACTO/test/inputgen/test_attribute_solver.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:22:45.5817894Z   copying backends/cadence/utils/FACTO/test/inputgen/test_constraints.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:22:45.5819488Z   copying backends/cadence/utils/FACTO/test/inputgen/test_meta_arg_engine.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:22:45.5821065Z   copying backends/cadence/utils/FACTO/test/inputgen/test_specs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:22:45.5822571Z   copying backends/cadence/utils/FACTO/test/inputgen/test_structural_engine.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:22:45.5824225Z   copying backends/cadence/utils/FACTO/test/inputgen/test_variable_generation.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:22:45.5825939Z   copying backends/cadence/utils/FACTO/test/inputgen/test_variable_solving.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:22:45.5827722Z   copying backends/cadence/utils/FACTO/test/inputgen/test_variable_space.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:22:45.5829461Z   copying backends/cadence/utils/FACTO/test/inputgen/test_variable_types.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:22:45.5830791Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_backend_delegate_passes
2025-03-21T20:22:45.5832317Z   copying backends/example/example_backend_delegate_passes/merge_to_dim_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_backend_delegate_passes
2025-03-21T20:22:45.6193951Z   copying backends/example/example_backend_delegate_passes/permute_memory_formats_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_backend_delegate_passes
2025-03-21T20:22:45.6195249Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:22:45.6196424Z   copying backends/example/example_operators/adaptive_avg_pool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:22:45.6197747Z   copying backends/example/example_operators/add.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:22:45.6199110Z   copying backends/example/example_operators/conv2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:22:45.6200339Z   copying backends/example/example_operators/conv_relu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:22:45.6201682Z   copying backends/example/example_operators/dropout.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:22:45.6203305Z   copying backends/example/example_operators/flatten.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:22:45.6204651Z   copying backends/example/example_operators/linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:22:45.6205878Z   copying backends/example/example_operators/op_base.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:22:45.6207279Z   copying backends/example/example_operators/ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:22:45.6208481Z   copying backends/example/example_operators/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:22:45.6209686Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/_passes
2025-03-21T20:22:45.6210566Z   copying backends/mediatek/_passes/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/_passes
2025-03-21T20:22:45.6211728Z   copying backends/mediatek/_passes/decompose_scaled_dot_product_attention.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/_passes
2025-03-21T20:22:45.6212817Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/quantizer
2025-03-21T20:22:45.6213917Z   copying backends/mediatek/quantizer/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/quantizer
2025-03-21T20:22:45.6215037Z   copying backends/mediatek/quantizer/annotator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/quantizer
2025-03-21T20:22:45.6216170Z   copying backends/mediatek/quantizer/qconfig.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/quantizer
2025-03-21T20:22:45.6217284Z   copying backends/mediatek/quantizer/quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/quantizer
2025-03-21T20:22:45.6218200Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:22:45.6219285Z   copying backends/qualcomm/_passes/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:22:45.6220633Z   copying backends/qualcomm/_passes/annotate_decomposed.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:22:45.6221784Z   copying backends/qualcomm/_passes/annotate_quant_attrs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:22:45.6222964Z   copying backends/qualcomm/_passes/build_quant_io.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:22:45.6224369Z   copying backends/qualcomm/_passes/constant_i64_to_i32.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:22:45.6225521Z   copying backends/qualcomm/_passes/convert_bmm_to_matmul.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:22:45.6226956Z   copying backends/qualcomm/_passes/convert_interpolate_with_upsample2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:22:45.6228184Z   copying backends/qualcomm/_passes/convert_to_linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:22:45.6229325Z   copying backends/qualcomm/_passes/decompose_any.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:22:45.6230426Z   copying backends/qualcomm/_passes/decompose_einsum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:22:45.6231886Z   copying backends/qualcomm/_passes/decompose_linalg_vector_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:22:45.6233138Z   copying backends/qualcomm/_passes/decompose_silu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:22:45.6234522Z   copying backends/qualcomm/_passes/expand_broadcast_tensor_shape.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:22:45.6235660Z   copying backends/qualcomm/_passes/fold_qdq.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:22:45.6236843Z   copying backends/qualcomm/_passes/fuse_consecutive_transpose.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:22:45.6238170Z   copying backends/qualcomm/_passes/insert_io_qdq.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:22:45.6239275Z   copying backends/qualcomm/_passes/insert_requantize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:22:45.6240625Z   copying backends/qualcomm/_passes/layout_transform.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:22:45.6241785Z   copying backends/qualcomm/_passes/lift_constant_scalar_operands.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:22:45.6243056Z   copying backends/qualcomm/_passes/recompose_pixel_unshuffle.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:22:45.6244389Z   copying backends/qualcomm/_passes/recompose_prelu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:22:45.6245511Z   copying backends/qualcomm/_passes/recompose_rms_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:22:45.6246642Z   copying backends/qualcomm/_passes/reduce_dynamic_range.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:22:45.6247993Z   copying backends/qualcomm/_passes/remove_redundancy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:22:45.6249160Z   copying backends/qualcomm/_passes/replace_index_put_input.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:22:45.6250446Z   copying backends/qualcomm/_passes/replace_inf_buffer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:22:45.6251742Z   copying backends/qualcomm/_passes/tensor_i64_to_i32.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:22:45.6252796Z   copying backends/qualcomm/_passes/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:22:45.6253755Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6254928Z   copying backends/qualcomm/builders/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6256081Z   copying backends/qualcomm/builders/node_visitor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6257146Z   copying backends/qualcomm/builders/op_abs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6258463Z   copying backends/qualcomm/builders/op_adaptive_avg_pool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6259588Z   copying backends/qualcomm/builders/op_add.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6260647Z   copying backends/qualcomm/builders/op_arange.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6261976Z   copying backends/qualcomm/builders/op_argmin.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6263077Z   copying backends/qualcomm/builders/op_avg_pool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6264247Z   copying backends/qualcomm/builders/op_batch_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6265361Z   copying backends/qualcomm/builders/op_bmm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6266550Z   copying backends/qualcomm/builders/op_cat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6267695Z   copying backends/qualcomm/builders/op_ceil.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6658051Z   copying backends/qualcomm/builders/op_clamp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6659232Z   copying backends/qualcomm/builders/op_conv2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6660653Z   copying backends/qualcomm/builders/op_cos.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6662612Z   copying backends/qualcomm/builders/op_depth_to_space.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6663855Z   copying backends/qualcomm/builders/op_dequantize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6664991Z   copying backends/qualcomm/builders/op_div.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6666078Z   copying backends/qualcomm/builders/op_embedding.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6667461Z   copying backends/qualcomm/builders/op_eq.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6669361Z   copying backends/qualcomm/builders/op_expand.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6670454Z   copying backends/qualcomm/builders/op_full.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6671771Z   copying backends/qualcomm/builders/op_full_like.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6672835Z   copying backends/qualcomm/builders/op_ge.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6674017Z   copying backends/qualcomm/builders/op_gelu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6675569Z   copying backends/qualcomm/builders/op_group_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6677646Z   copying backends/qualcomm/builders/op_gt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6678779Z   copying backends/qualcomm/builders/op_hardsigmoid.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6679917Z   copying backends/qualcomm/builders/op_hardswish.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6681044Z   copying backends/qualcomm/builders/op_hardtanh.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6682138Z   copying backends/qualcomm/builders/op_index.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6683233Z   copying backends/qualcomm/builders/op_index_put.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6684628Z   copying backends/qualcomm/builders/op_instance_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6686652Z   copying backends/qualcomm/builders/op_layer_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6687759Z   copying backends/qualcomm/builders/op_le.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6688834Z   copying backends/qualcomm/builders/op_linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6689906Z   copying backends/qualcomm/builders/op_log.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6690995Z   copying backends/qualcomm/builders/op_log_softmax.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6692234Z   copying backends/qualcomm/builders/op_logical_not.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6694246Z   copying backends/qualcomm/builders/op_lt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6696256Z   copying backends/qualcomm/builders/op_matmul.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6697461Z   copying backends/qualcomm/builders/op_max.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6698567Z   copying backends/qualcomm/builders/op_max_pool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6699671Z   copying backends/qualcomm/builders/op_mean_dim.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6700743Z   copying backends/qualcomm/builders/op_min.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6701802Z   copying backends/qualcomm/builders/op_mul.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6703970Z   copying backends/qualcomm/builders/op_ne.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6705916Z   copying backends/qualcomm/builders/op_neg.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6707443Z   copying backends/qualcomm/builders/op_or.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6708495Z   copying backends/qualcomm/builders/op_pad.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6709542Z   copying backends/qualcomm/builders/op_pow.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6710860Z   copying backends/qualcomm/builders/op_prelu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6712955Z   copying backends/qualcomm/builders/op_quantize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6714205Z   copying backends/qualcomm/builders/op_relu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6715272Z   copying backends/qualcomm/builders/op_repeat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6716368Z   copying backends/qualcomm/builders/op_reshape.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6717968Z   copying backends/qualcomm/builders/op_rms_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6719649Z   copying backends/qualcomm/builders/op_rsqrt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6720766Z   copying backends/qualcomm/builders/op_select_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6721875Z   copying backends/qualcomm/builders/op_sigmoid.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6722942Z   copying backends/qualcomm/builders/op_sin.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6724020Z   copying backends/qualcomm/builders/op_skip_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6725738Z   copying backends/qualcomm/builders/op_slice_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6727833Z   copying backends/qualcomm/builders/op_softmax.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6729419Z   copying backends/qualcomm/builders/op_space_to_depth.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6730581Z   copying backends/qualcomm/builders/op_split_with_sizes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6731686Z   copying backends/qualcomm/builders/op_sqrt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6732757Z   copying backends/qualcomm/builders/op_squeeze.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6733830Z   copying backends/qualcomm/builders/op_sub.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6734901Z   copying backends/qualcomm/builders/op_sum_int_list.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6735991Z   copying backends/qualcomm/builders/op_tanh.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6737044Z   copying backends/qualcomm/builders/op_to.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6738084Z   copying backends/qualcomm/builders/op_topk.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6739164Z   copying backends/qualcomm/builders/op_transpose.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.6740427Z   copying backends/qualcomm/builders/op_unsqueeze.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.7152647Z   copying backends/qualcomm/builders/op_upsample_bilinear2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.7154027Z   copying backends/qualcomm/builders/op_upsample_nearest2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.7155166Z   copying backends/qualcomm/builders/op_where.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.7156522Z   copying backends/qualcomm/builders/qnn_constants.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.7157625Z   copying backends/qualcomm/builders/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:22:45.7158513Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/debugger
2025-03-21T20:22:45.7159565Z   copying backends/qualcomm/debugger/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/debugger
2025-03-21T20:22:45.7161114Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/partition
2025-03-21T20:22:45.7162804Z   copying backends/qualcomm/partition/common_defs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/partition
2025-03-21T20:22:45.7164658Z   copying backends/qualcomm/partition/qnn_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/partition
2025-03-21T20:22:45.7166123Z   copying backends/qualcomm/partition/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/partition
2025-03-21T20:22:45.7167796Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer
2025-03-21T20:22:45.7169544Z   copying backends/qualcomm/quantizer/annotators.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer
2025-03-21T20:22:45.7171820Z   copying backends/qualcomm/quantizer/custom_annotation.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer
2025-03-21T20:22:45.7174046Z   copying backends/qualcomm/quantizer/qconfig.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer
2025-03-21T20:22:45.7176177Z   copying backends/qualcomm/quantizer/quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer
2025-03-21T20:22:45.7177610Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/serialization
2025-03-21T20:22:45.7179402Z   copying backends/qualcomm/serialization/qc_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/serialization
2025-03-21T20:22:45.7181453Z   copying backends/qualcomm/serialization/qc_schema_serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/serialization
2025-03-21T20:22:45.7182740Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/tests
2025-03-21T20:22:45.7184249Z   copying backends/qualcomm/tests/models.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/tests
2025-03-21T20:22:45.7185745Z   copying backends/qualcomm/tests/test_qnn_delegate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/tests
2025-03-21T20:22:45.7186798Z   copying backends/qualcomm/tests/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/tests
2025-03-21T20:22:45.7187796Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/utils
2025-03-21T20:22:45.7189420Z   copying backends/qualcomm/utils/constants.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/utils
2025-03-21T20:22:45.7191364Z   copying backends/qualcomm/utils/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/utils
2025-03-21T20:22:45.7192553Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer/observers
2025-03-21T20:22:45.7194158Z   copying backends/qualcomm/quantizer/observers/per_channel_param_observer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer/observers
2025-03-21T20:22:45.7195252Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/test
2025-03-21T20:22:45.7196264Z   copying backends/transforms/test/test_create_delete_constant_placeholder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/test
2025-03-21T20:22:45.7197652Z   copying backends/transforms/test/test_duplicate_dynamic_quant_chain.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/test
2025-03-21T20:22:45.7198963Z   copying backends/transforms/test/test_rank_0_to_rank_1.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/test
2025-03-21T20:22:45.7200562Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes
2025-03-21T20:22:45.7202417Z   copying backends/vulkan/_passes/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes
2025-03-21T20:22:45.7204169Z   copying backends/vulkan/_passes/insert_prepack_nodes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes
2025-03-21T20:22:45.7205301Z   copying backends/vulkan/_passes/int4_weight_only_quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes
2025-03-21T20:22:45.7206407Z   copying backends/vulkan/_passes/remove_asserts.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes
2025-03-21T20:22:45.7207533Z   copying backends/vulkan/_passes/remove_local_scalar_dense_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes
2025-03-21T20:22:45.7208671Z   copying backends/vulkan/_passes/remove_redundant_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes
2025-03-21T20:22:45.7209794Z   copying backends/vulkan/_passes/squeeze_unsqueeze_inputs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes
2025-03-21T20:22:45.7211287Z   copying backends/vulkan/_passes/tag_memory_meta_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes
2025-03-21T20:22:45.7212958Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/partitioner
2025-03-21T20:22:45.7214810Z   copying backends/vulkan/partitioner/vulkan_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/partitioner
2025-03-21T20:22:45.7215899Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/quantizer
2025-03-21T20:22:45.7216852Z   copying backends/vulkan/quantizer/vulkan_quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/quantizer
2025-03-21T20:22:45.7217774Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime
2025-03-21T20:22:45.7218651Z   copying backends/vulkan/runtime/gen_vulkan_spv.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime
2025-03-21T20:22:45.7219987Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/serialization
2025-03-21T20:22:45.7221651Z   copying backends/vulkan/serialization/vulkan_graph_builder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/serialization
2025-03-21T20:22:45.7222922Z   copying backends/vulkan/serialization/vulkan_graph_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/serialization
2025-03-21T20:22:45.7224199Z   copying backends/vulkan/serialization/vulkan_graph_serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/serialization
2025-03-21T20:22:45.7225171Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test
2025-03-21T20:22:45.7226032Z   copying backends/vulkan/test/test_serialization.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test
2025-03-21T20:22:45.7227362Z   copying backends/vulkan/test/test_vulkan_delegate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test
2025-03-21T20:22:45.7229450Z   copying backends/vulkan/test/test_vulkan_delegate_header.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test
2025-03-21T20:22:45.7230394Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests
2025-03-21T20:22:45.7231315Z   copying backends/vulkan/test/op_tests/cases.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests
2025-03-21T20:22:45.7232645Z   copying backends/vulkan/test/op_tests/generate_op_benchmarks.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests
2025-03-21T20:22:45.7234053Z   copying backends/vulkan/test/op_tests/generate_op_correctness_tests.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests
2025-03-21T20:22:45.7235935Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests/utils
2025-03-21T20:22:45.7237300Z   copying backends/vulkan/test/op_tests/utils/aten_types.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests/utils
2025-03-21T20:22:45.7238554Z   copying backends/vulkan/test/op_tests/utils/gen_benchmark_vk.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests/utils
2025-03-21T20:22:45.7239844Z   copying backends/vulkan/test/op_tests/utils/gen_computegraph.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests/utils
2025-03-21T20:22:45.7241167Z   copying backends/vulkan/test/op_tests/utils/gen_correctness_base.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests/utils
2025-03-21T20:22:45.7243102Z   copying backends/vulkan/test/op_tests/utils/gen_correctness_vk.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests/utils
2025-03-21T20:22:45.7527022Z   copying backends/vulkan/test/op_tests/utils/test_suite.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests/utils
2025-03-21T20:22:45.7528122Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/volk
2025-03-21T20:22:45.7529126Z   copying backends/vulkan/third-party/volk/generate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/volk
2025-03-21T20:22:45.7530233Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-03-21T20:22:45.7532074Z   copying backends/vulkan/third-party/Vulkan-Headers/registry/apiconventions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-03-21T20:22:45.7534511Z   copying backends/vulkan/third-party/Vulkan-Headers/registry/cgenerator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-03-21T20:22:45.7536147Z   copying backends/vulkan/third-party/Vulkan-Headers/registry/conventions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-03-21T20:22:45.7537784Z   copying backends/vulkan/third-party/Vulkan-Headers/registry/generator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-03-21T20:22:45.7539371Z   copying backends/vulkan/third-party/Vulkan-Headers/registry/genvk.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-03-21T20:22:45.7542011Z   copying backends/vulkan/third-party/Vulkan-Headers/registry/reg.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-03-21T20:22:45.7543732Z   copying backends/vulkan/third-party/Vulkan-Headers/registry/vkconventions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-03-21T20:22:45.7545154Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/spec_tools
2025-03-21T20:22:45.7546857Z   copying backends/vulkan/third-party/Vulkan-Headers/registry/spec_tools/util.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/spec_tools
2025-03-21T20:22:45.7548880Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis
2025-03-21T20:22:45.7551180Z   copying backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis/GpuMemDumpVis.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis
2025-03-21T20:22:45.7552792Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:22:45.7553814Z   copying backends/xnnpack/_passes/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:22:45.7555623Z   copying backends/xnnpack/_passes/channels_last_tagged_reshape_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:22:45.7557403Z   copying backends/xnnpack/_passes/conv1d_unsqueeze_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:22:45.7558572Z   copying backends/xnnpack/_passes/convert_to_linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:22:45.7559661Z   copying backends/xnnpack/_passes/convert_to_sdpa.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:22:45.7560839Z   copying backends/xnnpack/_passes/convert_to_upsample_bilinear2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:22:45.7562173Z   copying backends/xnnpack/_passes/decompose_cat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:22:45.7564212Z   copying backends/xnnpack/_passes/fuse_activation_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:22:45.7565453Z   copying backends/xnnpack/_passes/fuse_batch_norm_with_conv.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:22:45.7566603Z   copying backends/xnnpack/_passes/prelu_reshape_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:22:45.7567709Z   copying backends/xnnpack/_passes/remove_getitem_op.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:22:45.7568830Z   copying backends/xnnpack/_passes/tag_implicit_q_dq_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:22:45.7569927Z   copying backends/xnnpack/_passes/xnnpack_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:22:45.7570820Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:22:45.7571718Z   copying backends/xnnpack/operators/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:22:45.7572810Z   copying backends/xnnpack/operators/node_visitor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:22:45.7573907Z   copying backends/xnnpack/operators/op_abs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:22:45.7574969Z   copying backends/xnnpack/operators/op_add.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:22:45.7576849Z   copying backends/xnnpack/operators/op_addmm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:22:45.7578362Z   copying backends/xnnpack/operators/op_avg_pooling2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:22:45.7579470Z   copying backends/xnnpack/operators/op_bmm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:22:45.7580705Z   copying backends/xnnpack/operators/op_cat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:22:45.7581956Z   copying backends/xnnpack/operators/op_ceiling.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:22:45.7583967Z   copying backends/xnnpack/operators/op_clamp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:22:45.7585160Z   copying backends/xnnpack/operators/op_conv2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:22:45.7586378Z   copying backends/xnnpack/operators/op_div.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:22:45.7587514Z   copying backends/xnnpack/operators/op_dynamic_dequantize_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:22:45.7589141Z   copying backends/xnnpack/operators/op_dynamic_quantize_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:22:45.7591083Z   copying backends/xnnpack/operators/op_elu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:22:45.7592167Z   copying backends/xnnpack/operators/op_floor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:22:45.7593412Z   copying backends/xnnpack/operators/op_hardswish.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:22:45.7594583Z   copying backends/xnnpack/operators/op_hardtanh.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:22:45.7596627Z   copying backends/xnnpack/operators/op_leaky_relu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:22:45.7598011Z   copying backends/xnnpack/operators/op_linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:22:45.7599203Z   copying backends/xnnpack/operators/op_matrix_multiplication.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:22:45.7600380Z   copying backends/xnnpack/operators/op_max_dim.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:22:45.7602474Z   copying backends/xnnpack/operators/op_max_pool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:22:45.7604270Z   copying backends/xnnpack/operators/op_maximum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:22:45.7605388Z   copying backends/xnnpack/operators/op_mean_dim.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:22:45.7606502Z   copying backends/xnnpack/operators/op_minimum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:22:45.7607627Z   copying backends/xnnpack/operators/op_multiply.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:22:45.7609651Z   copying backends/xnnpack/operators/op_negate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:22:45.7611062Z   copying backends/xnnpack/operators/op_permute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:22:45.7999499Z   copying backends/xnnpack/operators/op_prelu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:22:45.8000708Z   copying backends/xnnpack/operators/op_quant_dequant.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:22:45.8001814Z   copying backends/xnnpack/operators/op_relu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:22:45.8003183Z   copying backends/xnnpack/operators/op_rsqrt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:22:45.8005497Z   copying backends/xnnpack/operators/op_sdpa.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:22:45.8006837Z   copying backends/xnnpack/operators/op_sigmoid.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:22:45.8007938Z   copying backends/xnnpack/operators/op_skip_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:22:45.8009254Z   copying backends/xnnpack/operators/op_slice_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:22:45.8011296Z   copying backends/xnnpack/operators/op_softmax.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:22:45.8012516Z   copying backends/xnnpack/operators/op_square.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:22:45.8013686Z   copying backends/xnnpack/operators/op_square_root.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:22:45.8014801Z   copying backends/xnnpack/operators/op_squeeze.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:22:45.8015955Z   copying backends/xnnpack/operators/op_static_constant_pad.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:22:45.8017765Z   copying backends/xnnpack/operators/op_static_resize_bilinear_2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:22:45.8019487Z   copying backends/xnnpack/operators/op_sub.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:22:45.8020559Z   copying backends/xnnpack/operators/op_to_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:22:45.8021671Z   copying backends/xnnpack/operators/quant_params.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:22:45.8022603Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition
2025-03-21T20:22:45.8023522Z   copying backends/xnnpack/partition/configs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition
2025-03-21T20:22:45.8024946Z   copying backends/xnnpack/partition/xnnpack_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition
2025-03-21T20:22:45.8026735Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/quantizer
2025-03-21T20:22:45.8027734Z   copying backends/xnnpack/quantizer/xnnpack_quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/quantizer
2025-03-21T20:22:45.8028938Z   copying backends/xnnpack/quantizer/xnnpack_quantizer_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/quantizer
2025-03-21T20:22:45.8029909Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/serialization
2025-03-21T20:22:45.8031253Z   copying backends/xnnpack/serialization/xnnpack_graph_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/serialization
2025-03-21T20:22:45.8033456Z   copying backends/xnnpack/serialization/xnnpack_graph_serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/serialization
2025-03-21T20:22:45.8034468Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test
2025-03-21T20:22:45.8035359Z   copying backends/xnnpack/test/test_xnnpack_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test
2025-03-21T20:22:45.8036458Z   copying backends/xnnpack/test/test_xnnpack_utils_classes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test
2025-03-21T20:22:45.8037822Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party
2025-03-21T20:22:45.8039513Z   copying backends/xnnpack/third-party/generate-cpuinfo-wrappers.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party
2025-03-21T20:22:45.8040829Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/utils
2025-03-21T20:22:45.8041677Z   copying backends/xnnpack/utils/configs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/utils
2025-03-21T20:22:45.8042696Z   copying backends/xnnpack/utils/quant_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/utils
2025-03-21T20:22:45.8043781Z   copying backends/xnnpack/utils/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/utils
2025-03-21T20:22:45.8044827Z   copying backends/xnnpack/utils/xnnpack_constants.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/utils
2025-03-21T20:22:45.8045768Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config
2025-03-21T20:22:45.8046762Z   copying backends/xnnpack/partition/config/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config
2025-03-21T20:22:45.8048010Z   copying backends/xnnpack/partition/config/gemm_configs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config
2025-03-21T20:22:45.8049324Z   copying backends/xnnpack/partition/config/generic_node_configs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config
2025-03-21T20:22:45.8050636Z   copying backends/xnnpack/partition/config/node_configs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config
2025-03-21T20:22:45.8051948Z   copying backends/xnnpack/partition/config/quant_affine_configs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config
2025-03-21T20:22:45.8053271Z   copying backends/xnnpack/partition/config/xnnpack_config.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config
2025-03-21T20:22:45.8054313Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/graphs
2025-03-21T20:22:45.8055334Z   copying backends/xnnpack/partition/graphs/bilinear_2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/graphs
2025-03-21T20:22:45.8056579Z   copying backends/xnnpack/partition/graphs/sdpa.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/graphs
2025-03-21T20:22:45.8058109Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:22:45.8059660Z   copying backends/xnnpack/test/models/deeplab_v3.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:22:45.8060790Z   copying backends/xnnpack/test/models/edsr.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:22:45.8061916Z   copying backends/xnnpack/test/models/emformer_rnnt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:22:45.8063091Z   copying backends/xnnpack/test/models/inception_v3.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:22:45.8064371Z   copying backends/xnnpack/test/models/inception_v4.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:22:45.8066510Z   copying backends/xnnpack/test/models/llama2_et_example.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:22:45.8067715Z   copying backends/xnnpack/test/models/mobilebert.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:22:45.8068893Z   copying backends/xnnpack/test/models/mobilenet_v2.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:22:45.8070050Z   copying backends/xnnpack/test/models/mobilenet_v3.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:22:45.8072344Z   copying backends/xnnpack/test/models/resnet.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:22:45.8073726Z   copying backends/xnnpack/test/models/torchvision_vit.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:22:45.8074908Z   copying backends/xnnpack/test/models/very_big_model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:22:45.8076026Z   copying backends/xnnpack/test/models/w2l.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:22:45.8077734Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:22:45.8078967Z   copying backends/xnnpack/test/ops/test_abs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:22:45.8080032Z   copying backends/xnnpack/test/ops/test_add.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:22:45.8081127Z   copying backends/xnnpack/test/ops/test_avgpool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:22:45.8411819Z   copying backends/xnnpack/test/ops/test_bilinear2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:22:45.8413947Z   copying backends/xnnpack/test/ops/test_bmm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:22:45.8415979Z   copying backends/xnnpack/test/ops/test_cat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:22:45.8417416Z   copying backends/xnnpack/test/ops/test_ceil.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:22:45.8419635Z   copying backends/xnnpack/test/ops/test_check_quant_params.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:22:45.8421450Z   copying backends/xnnpack/test/ops/test_clamp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:22:45.8422650Z   copying backends/xnnpack/test/ops/test_conv1d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:22:45.8423740Z   copying backends/xnnpack/test/ops/test_conv2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:22:45.8424812Z   copying backends/xnnpack/test/ops/test_div.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:22:45.8425879Z   copying backends/xnnpack/test/ops/test_elu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:22:45.8426947Z   copying backends/xnnpack/test/ops/test_floor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:22:45.8428050Z   copying backends/xnnpack/test/ops/test_hardswish.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:22:45.8429349Z   copying backends/xnnpack/test/ops/test_hardtanh.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:22:45.8431408Z   copying backends/xnnpack/test/ops/test_leaky_relu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:22:45.8433617Z   copying backends/xnnpack/test/ops/test_linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:22:45.8435696Z   copying backends/xnnpack/test/ops/test_lstm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:22:45.8437786Z   copying backends/xnnpack/test/ops/test_max_dim.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:22:45.8439887Z   copying backends/xnnpack/test/ops/test_maximum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:22:45.8441241Z   copying backends/xnnpack/test/ops/test_maxpool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:22:45.8442626Z   copying backends/xnnpack/test/ops/test_mean_dim.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:22:45.8443725Z   copying backends/xnnpack/test/ops/test_minimum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:22:45.8444833Z   copying backends/xnnpack/test/ops/test_multiply.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:22:45.8446038Z   copying backends/xnnpack/test/ops/test_negate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:22:45.8447130Z   copying backends/xnnpack/test/ops/test_permute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:22:45.8448219Z   copying backends/xnnpack/test/ops/test_pow.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:22:45.8449607Z   copying backends/xnnpack/test/ops/test_prelu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:22:45.8451668Z   copying backends/xnnpack/test/ops/test_quantize_per_tensor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:22:45.8453801Z   copying backends/xnnpack/test/ops/test_relu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:22:45.8455854Z   copying backends/xnnpack/test/ops/test_rsqrt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:22:45.8457944Z   copying backends/xnnpack/test/ops/test_sdpa.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:22:45.8460036Z   copying backends/xnnpack/test/ops/test_sigmoid.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:22:45.8462146Z   copying backends/xnnpack/test/ops/test_slice_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:22:45.8464284Z   copying backends/xnnpack/test/ops/test_softmax.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:22:45.8466144Z   copying backends/xnnpack/test/ops/test_sqrt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:22:45.8467676Z   copying backends/xnnpack/test/ops/test_square.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:22:45.8469074Z   copying backends/xnnpack/test/ops/test_static_constant_pad.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:22:45.8470388Z   copying backends/xnnpack/test/ops/test_sub.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:22:45.8471457Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes
2025-03-21T20:22:45.8472806Z   copying backends/xnnpack/test/passes/test_activation_fusion.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes
2025-03-21T20:22:45.8474311Z   copying backends/xnnpack/test/passes/test_batch_norm_fusion.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes
2025-03-21T20:22:45.8475982Z   copying backends/xnnpack/test/passes/test_channels_last_tagged_reshape.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes
2025-03-21T20:22:45.8477403Z   copying backends/xnnpack/test/passes/test_convert_to_linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes
2025-03-21T20:22:45.8478872Z   copying backends/xnnpack/test/passes/test_decompose_cat_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes
2025-03-21T20:22:45.8480218Z   copying backends/xnnpack/test/passes/test_remove_get_item_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes
2025-03-21T20:22:45.8481923Z   copying backends/xnnpack/test/passes/test_tag_implicit_q_dq_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes
2025-03-21T20:22:45.8483045Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/quantizer
2025-03-21T20:22:45.8484217Z   copying backends/xnnpack/test/quantizer/test_pt2e_quantization.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/quantizer
2025-03-21T20:22:45.8485797Z   copying backends/xnnpack/test/quantizer/test_representation.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/quantizer
2025-03-21T20:22:45.8487363Z   copying backends/xnnpack/test/quantizer/test_xnnpack_quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/quantizer
2025-03-21T20:22:45.8488498Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/serialization
2025-03-21T20:22:45.8489770Z   copying backends/xnnpack/test/serialization/test_serialization.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/serialization
2025-03-21T20:22:45.8491301Z   copying backends/xnnpack/test/serialization/test_xnnheader.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/serialization
2025-03-21T20:22:45.8492475Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/tester
2025-03-21T20:22:45.8493503Z   copying backends/xnnpack/test/tester/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/tester
2025-03-21T20:22:45.8494748Z   copying backends/xnnpack/test/tester/tester.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/tester
2025-03-21T20:22:45.8495828Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FP16
2025-03-21T20:22:45.8496989Z   copying backends/xnnpack/third-party/FP16/configure.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FP16
2025-03-21T20:22:45.8498125Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FXdiv
2025-03-21T20:22:45.8499291Z   copying backends/xnnpack/third-party/FXdiv/configure.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FXdiv
2025-03-21T20:22:45.8500509Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo
2025-03-21T20:22:45.8501649Z   copying backends/xnnpack/third-party/cpuinfo/configure.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo
2025-03-21T20:22:45.8503264Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/pthreadpool
2025-03-21T20:22:45.8504676Z   copying backends/xnnpack/third-party/pthreadpool/configure.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/pthreadpool
2025-03-21T20:22:45.8812163Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FP16/include/fp16
2025-03-21T20:22:45.8813534Z   copying backends/xnnpack/third-party/FP16/include/fp16/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FP16/include/fp16
2025-03-21T20:22:45.8814982Z   copying backends/xnnpack/third-party/FP16/include/fp16/avx.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FP16/include/fp16
2025-03-21T20:22:45.8816437Z   copying backends/xnnpack/third-party/FP16/include/fp16/avx2.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FP16/include/fp16
2025-03-21T20:22:45.8817646Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FP16/test/peachpy
2025-03-21T20:22:45.8818851Z   copying backends/xnnpack/third-party/FP16/test/peachpy/stubs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FP16/test/peachpy
2025-03-21T20:22:45.8820039Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts
2025-03-21T20:22:45.8821688Z   copying backends/xnnpack/third-party/XNNPACK/scripts/check_config.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts
2025-03-21T20:22:45.8823349Z   copying backends/xnnpack/third-party/XNNPACK/scripts/check_files_changed.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts
2025-03-21T20:22:45.8825095Z   copying backends/xnnpack/third-party/XNNPACK/scripts/generate-build-identifier.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts
2025-03-21T20:22:45.8826681Z   copying backends/xnnpack/third-party/XNNPACK/scripts/sort-filenames.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts
2025-03-21T20:22:45.8827886Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:22:45.8829133Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-argmaxpool-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:22:45.8830707Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:22:45.8832290Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc2chw-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:22:45.8834082Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-multipass-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:22:45.8835885Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-unipass-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:22:45.8837515Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv2d-chw-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:22:45.8839072Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-gemm-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:22:45.8840644Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-ibilinear-chw-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:22:45.8842333Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-ibilinear-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:22:45.8843925Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-lut-norm-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:22:45.8845455Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-lut-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:22:45.8847020Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-raddexpminusmax-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:22:45.8848779Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-raddextexp-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:22:45.8850440Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-raddstoreexpminusmax-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:22:45.8852094Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-rdsum-benchmark.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:22:45.8853765Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-rdsum-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:22:45.8855298Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-reduce-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:22:45.8856986Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-spmm-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:22:45.8858733Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-vbinary-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:22:45.8860294Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-vmulcaddc-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:22:45.8861931Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-vscaleexpminusmax-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:22:45.8863583Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-vscaleextexp-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:22:45.8865163Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-vunary-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:22:45.8866772Z   copying backends/xnnpack/third-party/XNNPACK/tools/primes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:22:45.8868256Z   copying backends/xnnpack/third-party/XNNPACK/tools/update-microkernels.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:22:45.8869727Z   copying backends/xnnpack/third-party/XNNPACK/tools/xngen.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:22:45.8871144Z   copying backends/xnnpack/third-party/XNNPACK/tools/xnncommon.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:22:45.8872316Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/scripts
2025-03-21T20:22:45.8873652Z   copying backends/xnnpack/third-party/cpuinfo/scripts/android-device-dump.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/scripts
2025-03-21T20:22:45.8875270Z   copying backends/xnnpack/third-party/cpuinfo/scripts/arm-linux-filesystem-dump.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/scripts
2025-03-21T20:22:45.8877012Z   copying backends/xnnpack/third-party/cpuinfo/scripts/parse-x86-cpuid-dump.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/scripts
2025-03-21T20:22:45.8878277Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/deps/clog
2025-03-21T20:22:45.8879506Z   copying backends/xnnpack/third-party/cpuinfo/deps/clog/configure.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/deps/clog
2025-03-21T20:22:45.8880547Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/codegen
2025-03-21T20:22:45.8892702Z   copying codegen/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen
2025-03-21T20:22:45.8893409Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools
2025-03-21T20:22:45.8894122Z   copying codegen/tools/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools
2025-03-21T20:22:45.8894951Z   copying codegen/tools/gen_all_oplist.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools
2025-03-21T20:22:45.8895807Z   copying codegen/tools/gen_oplist.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools
2025-03-21T20:22:45.8897029Z   copying codegen/tools/gen_ops_def.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools
2025-03-21T20:22:45.8898053Z   copying codegen/tools/gen_selected_op_variants.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools
2025-03-21T20:22:45.9224490Z   copying codegen/tools/merge_yaml.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools
2025-03-21T20:22:45.9225388Z   copying codegen/tools/yaml_util.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools
2025-03-21T20:22:45.9226588Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/test
2025-03-21T20:22:45.9227417Z   copying codegen/tools/test/test_gen_all_oplist.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/test
2025-03-21T20:22:45.9228481Z   copying codegen/tools/test/test_gen_oplist.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/test
2025-03-21T20:22:45.9229653Z   copying codegen/tools/test/test_gen_oplist_real_model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/test
2025-03-21T20:22:45.9230887Z   copying codegen/tools/test/test_gen_selected_op_variants.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/test
2025-03-21T20:22:45.9231840Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/llama
2025-03-21T20:22:45.9232866Z   copying examples/apple/coreml/llama/export.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/llama
2025-03-21T20:22:45.9234161Z   copying examples/apple/coreml/llama/llama_transformer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/llama
2025-03-21T20:22:45.9235517Z   copying examples/apple/coreml/llama/run.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/llama
2025-03-21T20:22:45.9236947Z   copying examples/apple/coreml/llama/test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/llama
2025-03-21T20:22:45.9238524Z   copying examples/apple/coreml/llama/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/llama
2025-03-21T20:22:45.9239438Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning
2025-03-21T20:22:45.9240463Z   copying examples/llm_pte_finetuning/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning
2025-03-21T20:22:45.9241597Z   copying examples/llm_pte_finetuning/model_exporter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning
2025-03-21T20:22:45.9242859Z   copying examples/llm_pte_finetuning/model_loading_lib.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning
2025-03-21T20:22:45.9244077Z   copying examples/llm_pte_finetuning/runner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning
2025-03-21T20:22:45.9245143Z   copying examples/llm_pte_finetuning/training_lib.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning
2025-03-21T20:22:45.9246010Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models
2025-03-21T20:22:45.9246737Z   copying examples/models/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models
2025-03-21T20:22:45.9247751Z   copying examples/models/checkpoint.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models
2025-03-21T20:22:45.9248693Z   copying examples/models/model_base.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models
2025-03-21T20:22:45.9249591Z   copying examples/models/model_factory.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models
2025-03-21T20:22:45.9250579Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/deeplab_v3
2025-03-21T20:22:45.9251564Z   copying examples/models/deeplab_v3/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/deeplab_v3
2025-03-21T20:22:45.9253169Z   copying examples/models/deeplab_v3/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/deeplab_v3
2025-03-21T20:22:45.9254289Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/edsr
2025-03-21T20:22:45.9255086Z   copying examples/models/edsr/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/edsr
2025-03-21T20:22:45.9256109Z   copying examples/models/edsr/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/edsr
2025-03-21T20:22:45.9257010Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam
2025-03-21T20:22:45.9258031Z   copying examples/models/efficient_sam/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam
2025-03-21T20:22:45.9259324Z   copying examples/models/efficient_sam/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam
2025-03-21T20:22:45.9260324Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/emformer_rnnt
2025-03-21T20:22:45.9261551Z   copying examples/models/emformer_rnnt/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/emformer_rnnt
2025-03-21T20:22:45.9262907Z   copying examples/models/emformer_rnnt/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/emformer_rnnt
2025-03-21T20:22:45.9263817Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/inception_v3
2025-03-21T20:22:45.9264859Z   copying examples/models/inception_v3/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/inception_v3
2025-03-21T20:22:45.9265937Z   copying examples/models/inception_v3/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/inception_v3
2025-03-21T20:22:45.9266889Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/inception_v4
2025-03-21T20:22:45.9267784Z   copying examples/models/inception_v4/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/inception_v4
2025-03-21T20:22:45.9269111Z   copying examples/models/inception_v4/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/inception_v4
2025-03-21T20:22:45.9269980Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-03-21T20:22:45.9270933Z   copying examples/models/llama/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-03-21T20:22:45.9271914Z   copying examples/models/llama/attention.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-03-21T20:22:45.9272963Z   copying examples/models/llama/eval_llama.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-03-21T20:22:45.9274252Z   copying examples/models/llama/eval_llama_lib.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-03-21T20:22:45.9275416Z   copying examples/models/llama/export_llama.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-03-21T20:22:45.9276454Z   copying examples/models/llama/export_llama_lib.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-03-21T20:22:45.9277614Z   copying examples/models/llama/fairseq2.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-03-21T20:22:45.9278745Z   copying examples/models/llama/install_requirement_helper.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-03-21T20:22:45.9279861Z   copying examples/models/llama/llama_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-03-21T20:22:45.9281116Z   copying examples/models/llama/llama_transformer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-03-21T20:22:45.9282115Z   copying examples/models/llama/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-03-21T20:22:45.9283218Z   copying examples/models/llama/model_args.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-03-21T20:22:45.9284332Z   copying examples/models/llama/norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-03-21T20:22:45.9285327Z   copying examples/models/llama/rope.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-03-21T20:22:45.9286605Z   copying examples/models/llama/static_attention.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-03-21T20:22:45.9287506Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision
2025-03-21T20:22:45.9288596Z   copying examples/models/llama3_2_vision/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision
2025-03-21T20:22:45.9289522Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava
2025-03-21T20:22:45.9290325Z   copying examples/models/llava/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava
2025-03-21T20:22:45.9291368Z   copying examples/models/llava/export_llava.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava
2025-03-21T20:22:45.9292619Z   copying examples/models/llava/image_util.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava
2025-03-21T20:22:45.9293732Z   copying examples/models/llava/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava
2025-03-21T20:22:45.9294646Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/lstm
2025-03-21T20:22:45.9295432Z   copying examples/models/lstm/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/lstm
2025-03-21T20:22:45.9296358Z   copying examples/models/lstm/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/lstm
2025-03-21T20:22:45.9297317Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilebert
2025-03-21T20:22:45.9298212Z   copying examples/models/mobilebert/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilebert
2025-03-21T20:22:45.9299325Z   copying examples/models/mobilebert/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilebert
2025-03-21T20:22:45.9553373Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilenet_v2
2025-03-21T20:22:45.9554612Z   copying examples/models/mobilenet_v2/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilenet_v2
2025-03-21T20:22:45.9555778Z   copying examples/models/mobilenet_v2/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilenet_v2
2025-03-21T20:22:45.9556789Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilenet_v3
2025-03-21T20:22:45.9557676Z   copying examples/models/mobilenet_v3/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilenet_v3
2025-03-21T20:22:45.9558961Z   copying examples/models/mobilenet_v3/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilenet_v3
2025-03-21T20:22:45.9559883Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini-lora
2025-03-21T20:22:45.9561024Z   copying examples/models/phi-3-mini-lora/export_model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini-lora
2025-03-21T20:22:45.9561990Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini
2025-03-21T20:22:45.9562939Z   copying examples/models/phi-3-mini/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini
2025-03-21T20:22:45.9564015Z   copying examples/models/phi-3-mini/eager.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini
2025-03-21T20:22:45.9565256Z   copying examples/models/phi-3-mini/export_phi-3-mini.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini
2025-03-21T20:22:45.9566614Z   copying examples/models/phi-3-mini/phi_3_mini.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini
2025-03-21T20:22:45.9567846Z   copying examples/models/phi-3-mini/static_cache.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini
2025-03-21T20:22:45.9568812Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-4-mini
2025-03-21T20:22:45.9569697Z   copying examples/models/phi-4-mini/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-4-mini
2025-03-21T20:22:45.9571103Z   copying examples/models/phi-4-mini/convert_weights.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-4-mini
2025-03-21T20:22:45.9572027Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/qwen2_5
2025-03-21T20:22:45.9572859Z   copying examples/models/qwen2_5/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/qwen2_5
2025-03-21T20:22:45.9573900Z   copying examples/models/qwen2_5/convert_weights.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/qwen2_5
2025-03-21T20:22:45.9574911Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/resnet
2025-03-21T20:22:45.9575747Z   copying examples/models/resnet/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/resnet
2025-03-21T20:22:45.9576790Z   copying examples/models/resnet/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/resnet
2025-03-21T20:22:45.9577612Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/test
2025-03-21T20:22:45.9578503Z   copying examples/models/test/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/test
2025-03-21T20:22:45.9579528Z   copying examples/models/test/test_export.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/test
2025-03-21T20:22:45.9580394Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/torchvision_vit
2025-03-21T20:22:45.9581497Z   copying examples/models/torchvision_vit/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/torchvision_vit
2025-03-21T20:22:45.9582635Z   copying examples/models/torchvision_vit/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/torchvision_vit
2025-03-21T20:22:45.9583619Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/toy_model
2025-03-21T20:22:45.9584539Z   copying examples/models/toy_model/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/toy_model
2025-03-21T20:22:45.9585679Z   copying examples/models/toy_model/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/toy_model
2025-03-21T20:22:45.9586536Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/wav2letter
2025-03-21T20:22:45.9587416Z   copying examples/models/wav2letter/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/wav2letter
2025-03-21T20:22:45.9588587Z   copying examples/models/wav2letter/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/wav2letter
2025-03-21T20:22:45.9589656Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core
2025-03-21T20:22:45.9590980Z   copying examples/models/efficient_sam/efficient_sam_core/build_efficient_sam.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core
2025-03-21T20:22:45.9592725Z   copying examples/models/efficient_sam/efficient_sam_core/efficient_sam.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core
2025-03-21T20:22:45.9594479Z   copying examples/models/efficient_sam/efficient_sam_core/efficient_sam_decoder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core
2025-03-21T20:22:45.9596213Z   copying examples/models/efficient_sam/efficient_sam_core/efficient_sam_encoder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core
2025-03-21T20:22:45.9597947Z   copying examples/models/efficient_sam/efficient_sam_core/mlp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core
2025-03-21T20:22:45.9599639Z   copying examples/models/efficient_sam/efficient_sam_core/two_way_transformer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core
2025-03-21T20:22:45.9600932Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/evaluate
2025-03-21T20:22:45.9601993Z   copying examples/models/llama/evaluate/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/evaluate
2025-03-21T20:22:45.9603550Z   copying examples/models/llama/evaluate/eager_eval.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/evaluate
2025-03-21T20:22:45.9604709Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/experimental
2025-03-21T20:22:45.9605773Z   copying examples/models/llama/experimental/generate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/experimental
2025-03-21T20:22:45.9607053Z   copying examples/models/llama/experimental/load_gguf_q4_0.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/experimental
2025-03-21T20:22:45.9608477Z   copying examples/models/llama/experimental/subclass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/experimental
2025-03-21T20:22:45.9609779Z   copying examples/models/llama/experimental/test_subclass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/experimental
2025-03-21T20:22:45.9610792Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/runner
2025-03-21T20:22:45.9611964Z   copying examples/models/llama/runner/eager.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/runner
2025-03-21T20:22:45.9613359Z   copying examples/models/llama/runner/generation.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/runner
2025-03-21T20:22:45.9614671Z   copying examples/models/llama/runner/native.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/runner
2025-03-21T20:22:45.9615678Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:22:45.9616808Z   copying examples/models/llama/source_transformation/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:22:45.9618399Z   copying examples/models/llama/source_transformation/apply_spin_quant_r1_r2.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:22:45.9619871Z   copying examples/models/llama/source_transformation/attention.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:22:45.9621438Z   copying examples/models/llama/source_transformation/attention_sink.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:22:45.9622997Z   copying examples/models/llama/source_transformation/lora.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:22:45.9624424Z   copying examples/models/llama/source_transformation/pre_quantization.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:22:45.9626032Z   copying examples/models/llama/source_transformation/prune_vocab.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:22:45.9627520Z   copying examples/models/llama/source_transformation/quantize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:22:45.9961903Z   copying examples/models/llama/source_transformation/quantized_kv_cache.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:22:45.9963396Z   copying examples/models/llama/source_transformation/rms_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:22:45.9964792Z   copying examples/models/llama/source_transformation/rope.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:22:45.9966583Z   copying examples/models/llama/source_transformation/sdpa.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:22:45.9968002Z   copying examples/models/llama/source_transformation/spin_quant.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:22:45.9969478Z   copying examples/models/llama/source_transformation/test_attention_sink.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:22:45.9971039Z   copying examples/models/llama/source_transformation/test_quantized_kv_cache.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:22:45.9972843Z   copying examples/models/llama/source_transformation/test_sdpa_with_quantized_kv_cache.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:22:45.9974381Z   copying examples/models/llama/source_transformation/vulkan_rope.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:22:45.9975473Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/tests
2025-03-21T20:22:45.9976501Z   copying examples/models/llama/tests/test_pre_quantization_transforms.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/tests
2025-03-21T20:22:45.9977739Z   copying examples/models/llama/tests/test_simple_sdpa.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/tests
2025-03-21T20:22:45.9979103Z   copying examples/models/llama/tests/test_static_attention.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/tests
2025-03-21T20:22:45.9980090Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/tokenizer
2025-03-21T20:22:45.9981067Z   copying examples/models/llama/tokenizer/tiktoken.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/tokenizer
2025-03-21T20:22:45.9982119Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/preprocess
2025-03-21T20:22:45.9983230Z   copying examples/models/llama3_2_vision/preprocess/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/preprocess
2025-03-21T20:22:45.9984675Z   copying examples/models/llama3_2_vision/preprocess/export_preprocess.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/preprocess
2025-03-21T20:22:45.9986225Z   copying examples/models/llama3_2_vision/preprocess/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/preprocess
2025-03-21T20:22:45.9987609Z   copying examples/models/llama3_2_vision/preprocess/test_preprocess.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/preprocess
2025-03-21T20:22:45.9988736Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/runner
2025-03-21T20:22:45.9989793Z   copying examples/models/llama3_2_vision/runner/eager.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/runner
2025-03-21T20:22:45.9991079Z   copying examples/models/llama3_2_vision/runner/exported.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/runner
2025-03-21T20:22:45.9992559Z   copying examples/models/llama3_2_vision/runner/generation.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/runner
2025-03-21T20:22:45.9994169Z   copying examples/models/llama3_2_vision/runner/native.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/runner
2025-03-21T20:22:45.9995269Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/text_decoder
2025-03-21T20:22:45.9996384Z   copying examples/models/llama3_2_vision/text_decoder/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/text_decoder
2025-03-21T20:22:45.9997597Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/vision_encoder
2025-03-21T20:22:45.9998858Z   copying examples/models/llama3_2_vision/vision_encoder/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/vision_encoder
2025-03-21T20:22:46.0000357Z   copying examples/models/llama3_2_vision/vision_encoder/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/vision_encoder
2025-03-21T20:22:46.0001542Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/text_decoder/test
2025-03-21T20:22:46.0003229Z   copying examples/models/llama3_2_vision/text_decoder/test/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/text_decoder/test
2025-03-21T20:22:46.0004754Z   copying examples/models/llama3_2_vision/text_decoder/test/test_text_decoder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/text_decoder/test
2025-03-21T20:22:46.0006203Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/vision_encoder/test
2025-03-21T20:22:46.0007431Z   copying examples/models/llama3_2_vision/vision_encoder/test/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/vision_encoder/test
2025-03-21T20:22:46.0009007Z   copying examples/models/llama3_2_vision/vision_encoder/test/test_vision_encoder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/vision_encoder/test
2025-03-21T20:22:46.0010176Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava/test
2025-03-21T20:22:46.0011089Z   copying examples/models/llava/test/test_llava.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava/test
2025-03-21T20:22:46.0012179Z   copying examples/models/llava/test/test_pte.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava/test
2025-03-21T20:22:46.0013075Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/moshi/mimi
2025-03-21T20:22:46.0014041Z   copying examples/models/moshi/mimi/test_mimi.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/moshi/mimi
2025-03-21T20:22:46.0014958Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:22:46.0015719Z   copying exir/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:22:46.0016376Z   copying exir/_warnings.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:22:46.0017039Z   copying exir/common.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:22:46.0017703Z   copying exir/control_flow.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:22:46.0018391Z   copying exir/delegate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:22:46.0019068Z   copying exir/dim_order_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:22:46.0019770Z   copying exir/dynamic_shape.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:22:46.0020436Z   copying exir/error.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:22:46.0021067Z   copying exir/graph.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:22:46.0022105Z   copying exir/graph_module.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:22:46.0022843Z   copying exir/lowered_backend_module.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:22:46.0023544Z   copying exir/memory.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:22:46.0024231Z   copying exir/memory_planning.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:22:46.0024932Z   copying exir/pass_base.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:22:46.0025705Z   copying exir/pass_manager.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
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2025-03-21T20:22:46.0028562Z   copying exir/sym_util.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
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2025-03-21T20:22:46.0032378Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize
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2025-03-21T20:22:46.0489857Z   copying exir/_serialize/_dataclass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize
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2025-03-21T20:22:46.0493327Z   copying exir/_serialize/_serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize
2025-03-21T20:22:46.0494204Z   copying exir/_serialize/data_serializer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize
2025-03-21T20:22:46.0495195Z   copying exir/_serialize/padding.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize
2025-03-21T20:22:46.0495923Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend
2025-03-21T20:22:46.0496648Z   copying exir/backend/backend_api.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend
2025-03-21T20:22:46.0497498Z   copying exir/backend/backend_details.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend
2025-03-21T20:22:46.0498494Z   copying exir/backend/compile_spec_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend
2025-03-21T20:22:46.0499402Z   copying exir/backend/operator_support.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend
2025-03-21T20:22:46.0500291Z   copying exir/backend/partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend
2025-03-21T20:22:46.0501237Z   copying exir/backend/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend
2025-03-21T20:22:46.0502366Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture
2025-03-21T20:22:46.0503322Z   copying exir/capture/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture
2025-03-21T20:22:46.0504529Z   copying exir/capture/_capture.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture
2025-03-21T20:22:46.0505415Z   copying exir/capture/_config.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture
2025-03-21T20:22:46.0506273Z   copying exir/capture/_unlift.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture
2025-03-21T20:22:46.0507056Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects
2025-03-21T20:22:46.0507851Z   copying exir/dialects/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects
2025-03-21T20:22:46.0508986Z   copying exir/dialects/_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects
2025-03-21T20:22:46.0509671Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit
2025-03-21T20:22:46.0510318Z   copying exir/emit/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit
2025-03-21T20:22:46.0511059Z   copying exir/emit/_emit_program.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit
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2025-03-21T20:22:46.0512550Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator
2025-03-21T20:22:46.0513373Z   copying exir/operator/convert.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator
2025-03-21T20:22:46.0514196Z   copying exir/operator/manip.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator
2025-03-21T20:22:46.0515000Z   copying exir/operator/util.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator
2025-03-21T20:22:46.0515688Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:22:46.0516519Z   copying exir/passes/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:22:46.0517410Z   copying exir/passes/_quant_patterns_and_replacements.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:22:46.0518350Z   copying exir/passes/const_prop_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
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2025-03-21T20:22:46.0520217Z   copying exir/passes/debug_handle_generator_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:22:46.0521137Z   copying exir/passes/dim_order_ops_registry.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:22:46.0522062Z   copying exir/passes/dynamic_shape_prop_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:22:46.0523013Z   copying exir/passes/executorch_prim_ops_registry.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:22:46.0524030Z   copying exir/passes/external_constants_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
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2025-03-21T20:22:46.0525963Z   copying exir/passes/insert_write_back_for_buffers_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:22:46.0526919Z   copying exir/passes/memory_format_ops_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:22:46.0527806Z   copying exir/passes/memory_planning_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:22:46.0528737Z   copying exir/passes/normalize_transpose_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:22:46.0529750Z   copying exir/passes/normalize_view_copy_base_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:22:46.0530656Z   copying exir/passes/pass_registry.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:22:46.0531671Z   copying exir/passes/prune_empty_tensors_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:22:46.0532578Z   copying exir/passes/quant_fusion_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:22:46.0533452Z   copying exir/passes/quantize_io_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:22:46.0534667Z   copying exir/passes/remove_graph_asserts_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:22:46.0535887Z   copying exir/passes/remove_mixed_type_operators.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:22:46.0536988Z   copying exir/passes/remove_noop_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:22:46.0537980Z   copying exir/passes/replace_aten_with_edge_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:22:46.0539163Z   copying exir/passes/replace_broken_ops_with_function_ops_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:22:46.0540357Z   copying exir/passes/replace_edge_with_backend_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:22:46.0541408Z   copying exir/passes/replace_sym_size_op_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:22:46.0542494Z   copying exir/passes/replace_view_copy_with_view_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:22:46.0543539Z   copying exir/passes/scalar_to_tensor_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:22:46.0544411Z   copying exir/passes/spec_prop_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:22:46.0545357Z   copying exir/passes/sym_shape_eval_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:22:46.0546382Z   copying exir/passes/sym_to_tensor_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:22:46.0547306Z   copying exir/passes/weights_to_outputs_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:22:46.0548074Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program
2025-03-21T20:22:46.0548809Z   copying exir/program/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program
2025-03-21T20:22:46.0549715Z   copying exir/program/_fake_program.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program
2025-03-21T20:22:46.0550535Z   copying exir/program/_program.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program
2025-03-21T20:22:46.0551224Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde
2025-03-21T20:22:46.0551884Z   copying exir/serde/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde
2025-03-21T20:22:46.0552771Z   copying exir/serde/export_serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde
2025-03-21T20:22:46.0553676Z   copying exir/serde/schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde
2025-03-21T20:22:46.0554448Z   copying exir/serde/schema_check.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde
2025-03-21T20:22:46.0555299Z   copying exir/serde/serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde
2025-03-21T20:22:46.0556154Z   copying exir/serde/union.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde
2025-03-21T20:22:46.0556909Z   copying exir/serde/upgrade.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde
2025-03-21T20:22:46.0557598Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:22:46.0558271Z   copying exir/tests/asr_joiner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:22:46.0559059Z   copying exir/tests/common.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:22:46.0560100Z   copying exir/tests/control_flow_models.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:22:46.0996457Z   copying exir/tests/dynamic_shape_models.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:22:46.0997332Z   copying exir/tests/models.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:22:46.0998152Z   copying exir/tests/test_arg_validator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:22:46.0998990Z   copying exir/tests/test_capture.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:22:46.1000195Z   copying exir/tests/test_common.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:22:46.1001018Z   copying exir/tests/test_delegate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:22:46.1002480Z   copying exir/tests/test_dim_order_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:22:46.1003673Z   copying exir/tests/test_dynamic_shape_propagation.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:22:46.1004647Z   copying exir/tests/test_error.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:22:46.1005529Z   copying exir/tests/test_joint_graph.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:22:46.1006549Z   copying exir/tests/test_memory_format_ops_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:22:46.1007669Z   copying exir/tests/test_memory_format_ops_pass_aten.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:22:46.1008725Z   copying exir/tests/test_memory_format_ops_pass_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:22:46.1009732Z   copying exir/tests/test_memory_planning.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:22:46.1010749Z   copying exir/tests/test_op_convert.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:22:46.1011742Z   copying exir/tests/test_pass_infra.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:22:46.1012647Z   copying exir/tests/test_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:22:46.1013549Z   copying exir/tests/test_print_program.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:22:46.1014629Z   copying exir/tests/test_prune_empty_tensors_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:22:46.1015629Z   copying exir/tests/test_quant_fusion_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:22:46.1016572Z   copying exir/tests/test_quantization.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:22:46.1017523Z   copying exir/tests/test_quantize_io_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:22:46.1018560Z   copying exir/tests/test_remove_view_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:22:46.1019528Z   copying exir/tests/test_serde.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:22:46.1020384Z   copying exir/tests/test_tensor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:22:46.1021230Z   copying exir/tests/test_tracer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:22:46.1022194Z   copying exir/tests/test_verification.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:22:46.1023172Z   copying exir/tests/test_warnings.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:22:46.1024087Z   copying exir/tests/transformer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:22:46.1024899Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification
2025-03-21T20:22:46.1025954Z   copying exir/verification/arg_validator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification
2025-03-21T20:22:46.1027030Z   copying exir/verification/dev_html.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification
2025-03-21T20:22:46.1028097Z   copying exir/verification/interpreter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification
2025-03-21T20:22:46.1029100Z   copying exir/verification/verifier.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification
2025-03-21T20:22:46.1029970Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test
2025-03-21T20:22:46.1031071Z   copying exir/_serialize/test/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test
2025-03-21T20:22:46.1032075Z   copying exir/_serialize/test/test_cord.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test
2025-03-21T20:22:46.1033240Z   copying exir/_serialize/test/test_flatbuffer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test
2025-03-21T20:22:46.1034418Z   copying exir/_serialize/test/test_named_data_store.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test
2025-03-21T20:22:46.1035620Z   copying exir/_serialize/test/test_program.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test
2025-03-21T20:22:46.1036507Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/canonical_partitioners
2025-03-21T20:22:46.1037592Z   copying exir/backend/canonical_partitioners/config_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/canonical_partitioners
2025-03-21T20:22:46.1039042Z   copying exir/backend/canonical_partitioners/duplicate_constant_node_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/canonical_partitioners
2025-03-21T20:22:46.1040465Z   copying exir/backend/canonical_partitioners/duplicate_dequant_node_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/canonical_partitioners
2025-03-21T20:22:46.1041866Z   copying exir/backend/canonical_partitioners/pattern_op_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/canonical_partitioners
2025-03-21T20:22:46.1042935Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:22:46.1043903Z   copying exir/backend/test/backend_with_compiler_demo.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:22:46.1045163Z   copying exir/backend/test/backend_with_delegate_mapping_demo.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:22:46.1046263Z   copying exir/backend/test/backend_with_named_data_map.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:22:46.1047292Z   copying exir/backend/test/hta_partitioner_demo.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:22:46.1048287Z   copying exir/backend/test/op_partitioner_demo.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:22:46.1049413Z   copying exir/backend/test/qnn_backend_demo.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:22:46.1050441Z   copying exir/backend/test/test_backend_with_named_data_map.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:22:46.1051462Z   copying exir/backend/test/test_backends.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:22:46.1052444Z   copying exir/backend/test/test_backends_lifted.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:22:46.1053449Z   copying exir/backend/test/test_backends_nested.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:22:46.1054451Z   copying exir/backend/test/test_compatibility.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:22:46.1055652Z   copying exir/backend/test/test_debug_handle_map.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:22:46.1056746Z   copying exir/backend/test/test_delegate_map_builder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:22:46.1057770Z   copying exir/backend/test/test_graph_partition.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:22:46.1058793Z   copying exir/backend/test/test_lowered_backend_module.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:22:46.1060017Z   copying exir/backend/test/test_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:22:46.1061052Z   copying exir/backend/test/test_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:22:46.1062029Z   copying exir/backend/test/test_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:22:46.1062836Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos
2025-03-21T20:22:46.1063760Z   copying exir/backend/test/demos/test_delegate_aten_mode.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos
2025-03-21T20:22:46.1064898Z   copying exir/backend/test/demos/test_xnnpack_qnnpack.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos
2025-03-21T20:22:46.1065806Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos/rpc
2025-03-21T20:22:46.1066886Z   copying exir/backend/test/demos/rpc/executor_backend_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos/rpc
2025-03-21T20:22:46.1068313Z   copying exir/backend/test/demos/rpc/executor_backend_preprocess.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos/rpc
2025-03-21T20:22:46.1069605Z   copying exir/backend/test/demos/rpc/test_rpc.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos/rpc
2025-03-21T20:22:46.1070557Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/backend
2025-03-21T20:22:46.1450080Z   copying exir/dialects/backend/_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/backend
2025-03-21T20:22:46.1450931Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge
2025-03-21T20:22:46.1451690Z   copying exir/dialects/edge/_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge
2025-03-21T20:22:46.1452434Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/test
2025-03-21T20:22:46.1453345Z   copying exir/dialects/test/test_exir_dialect_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/test
2025-03-21T20:22:46.1454198Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/backend/test
2025-03-21T20:22:46.1455122Z   copying exir/dialects/backend/test/test_backend_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/backend/test
2025-03-21T20:22:46.1456100Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/arg
2025-03-21T20:22:46.1457014Z   copying exir/dialects/edge/arg/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/arg
2025-03-21T20:22:46.1458117Z   copying exir/dialects/edge/arg/type.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/arg
2025-03-21T20:22:46.1458949Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/dtype
2025-03-21T20:22:46.1459813Z   copying exir/dialects/edge/dtype/runner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/dtype
2025-03-21T20:22:46.1460881Z   copying exir/dialects/edge/dtype/supported.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/dtype
2025-03-21T20:22:46.1461948Z   copying exir/dialects/edge/dtype/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/dtype
2025-03-21T20:22:46.1463016Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/op
2025-03-21T20:22:46.1463951Z   copying exir/dialects/edge/op/api.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/op
2025-03-21T20:22:46.1464933Z   copying exir/dialects/edge/op/sample_input.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/op
2025-03-21T20:22:46.1465773Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/spec
2025-03-21T20:22:46.1466771Z   copying exir/dialects/edge/spec/gen.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/spec
2025-03-21T20:22:46.1468015Z   copying exir/dialects/edge/spec/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/spec
2025-03-21T20:22:46.1468949Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/test
2025-03-21T20:22:46.1469984Z   copying exir/dialects/edge/test/test_edge_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/test
2025-03-21T20:22:46.1471148Z   copying exir/dialects/edge/test/test_edge_yaml.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/test
2025-03-21T20:22:46.1472367Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/op/test
2025-03-21T20:22:46.1473413Z   copying exir/dialects/edge/op/test/test_api.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/op/test
2025-03-21T20:22:46.1474247Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit/test
2025-03-21T20:22:46.1475001Z   copying exir/emit/test/test_emit.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit/test
2025-03-21T20:22:46.1475755Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator/test
2025-03-21T20:22:46.1476563Z   copying exir/operator/test/test_operator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator/test
2025-03-21T20:22:46.1477367Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program/test
2025-03-21T20:22:46.1478138Z   copying exir/program/test/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program/test
2025-03-21T20:22:46.1479060Z   copying exir/program/test/test_fake_program.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program/test
2025-03-21T20:22:46.1480073Z   copying exir/program/test/test_program.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program/test
2025-03-21T20:22:46.1480972Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification/test
2025-03-21T20:22:46.1481844Z   copying exir/verification/test/test_verifier.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification/test
2025-03-21T20:22:46.1482706Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/android_test
2025-03-21T20:22:46.1483531Z   copying extension/android_test/add_model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/android_test
2025-03-21T20:22:46.1484348Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/export_util
2025-03-21T20:22:46.1485136Z   copying extension/export_util/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/export_util
2025-03-21T20:22:46.1486067Z   copying extension/export_util/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/export_util
2025-03-21T20:22:46.1486862Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor
2025-03-21T20:22:46.1487658Z   copying extension/flat_tensor/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor
2025-03-21T20:22:46.1488447Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/gguf_util
2025-03-21T20:22:46.1489395Z   copying extension/gguf_util/convert_main.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/gguf_util
2025-03-21T20:22:46.1490475Z   copying extension/gguf_util/converter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/gguf_util
2025-03-21T20:22:46.1491797Z   copying extension/gguf_util/load_gguf.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/gguf_util
2025-03-21T20:22:46.1492758Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings
2025-03-21T20:22:46.1493595Z   copying extension/pybindings/portable_lib.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings
2025-03-21T20:22:46.1494406Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pytree
2025-03-21T20:22:46.1495151Z   copying extension/pytree/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pytree
2025-03-21T20:22:46.1495991Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training
2025-03-21T20:22:46.1496748Z   copying extension/training/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training
2025-03-21T20:22:46.1497567Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/serialize
2025-03-21T20:22:46.1498508Z   copying extension/flat_tensor/serialize/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/serialize
2025-03-21T20:22:46.1499889Z   copying extension/flat_tensor/serialize/flat_tensor_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/serialize
2025-03-21T20:22:46.1501098Z   copying extension/flat_tensor/serialize/serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/serialize
2025-03-21T20:22:46.1502322Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/test
2025-03-21T20:22:46.1503268Z   copying extension/flat_tensor/test/test_serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/test
2025-03-21T20:22:46.1504181Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/gguf_util/converters
2025-03-21T20:22:46.1505159Z   copying extension/gguf_util/converters/llama_converter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/gguf_util/converters
2025-03-21T20:22:46.1506110Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:22:46.1507157Z   copying extension/llm/custom_ops/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:22:46.1508181Z   copying extension/llm/custom_ops/custom_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:22:46.1509233Z   copying extension/llm/custom_ops/model_sharding.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:22:46.1510311Z   copying extension/llm/custom_ops/op_tile_crop_aot.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:22:46.1511396Z   copying extension/llm/custom_ops/preprocess_custom_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:22:46.1512545Z   copying extension/llm/custom_ops/test_preprocess_custom_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:22:46.1514004Z   copying extension/llm/custom_ops/test_sdpa_with_kv_cache.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:22:46.1515312Z   copying extension/llm/custom_ops/test_update_cache.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:22:46.1516188Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export
2025-03-21T20:22:46.1516987Z   copying extension/llm/export/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export
2025-03-21T20:22:46.1518117Z   copying extension/llm/export/builder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export
2025-03-21T20:22:46.1519187Z   copying extension/llm/export/export_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export
2025-03-21T20:22:46.1520332Z   copying extension/llm/export/partitioner_lib.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export
2025-03-21T20:22:46.1521632Z   copying extension/llm/export/quantizer_lib.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export
2025-03-21T20:22:46.1783943Z   copying extension/llm/export/test_export_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export
2025-03-21T20:22:46.1784865Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules
2025-03-21T20:22:46.1785690Z   copying extension/llm/modules/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules
2025-03-21T20:22:46.1786974Z   copying extension/llm/modules/_position_embeddings.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules
2025-03-21T20:22:46.1788083Z   copying extension/llm/modules/attention.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules
2025-03-21T20:22:46.1789302Z   copying extension/llm/modules/kv_cache.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules
2025-03-21T20:22:46.1790157Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizer
2025-03-21T20:22:46.1791005Z   copying extension/llm/tokenizer/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizer
2025-03-21T20:22:46.1792034Z   copying extension/llm/tokenizer/hf_tokenizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizer
2025-03-21T20:22:46.1793214Z   copying extension/llm/tokenizer/tokenizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizer
2025-03-21T20:22:46.1794265Z   copying extension/llm/tokenizer/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizer
2025-03-21T20:22:46.1795207Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers
2025-03-21T20:22:46.1796181Z   copying extension/llm/tokenizers/setup.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers
2025-03-21T20:22:46.1797226Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops/spinquant
2025-03-21T20:22:46.1798358Z   copying extension/llm/custom_ops/spinquant/special_hadamard_code_gen.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops/spinquant
2025-03-21T20:22:46.1799526Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops/spinquant/third-party/FFHT
2025-03-21T20:22:46.1800795Z   copying extension/llm/custom_ops/spinquant/third-party/FFHT/example.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops/spinquant/third-party/FFHT
2025-03-21T20:22:46.1802787Z   copying extension/llm/custom_ops/spinquant/third-party/FFHT/gen.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops/spinquant/third-party/FFHT
2025-03-21T20:22:46.1803930Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules/test
2025-03-21T20:22:46.1804799Z   copying extension/llm/modules/test/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules/test
2025-03-21T20:22:46.1805908Z   copying extension/llm/modules/test/test_attention.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules/test
2025-03-21T20:22:46.1807070Z   copying extension/llm/modules/test/test_kv_cache.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules/test
2025-03-21T20:22:46.1808235Z   copying extension/llm/modules/test/test_position_embeddings.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules/test
2025-03-21T20:22:46.1809215Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizer/test
2025-03-21T20:22:46.1810273Z   copying extension/llm/tokenizer/test/test_tokenizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizer/test
2025-03-21T20:22:46.1811404Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers
2025-03-21T20:22:46.1813138Z   copying extension/llm/tokenizers/pytorch_tokenizers/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers
2025-03-21T20:22:46.1814564Z   copying extension/llm/tokenizers/pytorch_tokenizers/hf_tokenizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers
2025-03-21T20:22:46.1815985Z   copying extension/llm/tokenizers/pytorch_tokenizers/llama2c.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers
2025-03-21T20:22:46.1817534Z   copying extension/llm/tokenizers/pytorch_tokenizers/tiktoken.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers
2025-03-21T20:22:46.1818975Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c
2025-03-21T20:22:46.1820335Z   copying extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c
2025-03-21T20:22:46.1822043Z   copying extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c/convert.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c
2025-03-21T20:22:46.1823319Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/tools/llama2c
2025-03-21T20:22:46.1824407Z   copying extension/llm/tokenizers/tools/llama2c/convert.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/tools/llama2c
2025-03-21T20:22:46.1825442Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings/test
2025-03-21T20:22:46.1826322Z   copying extension/pybindings/test/make_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings/test
2025-03-21T20:22:46.1827462Z   copying extension/pybindings/test/test_backend_pybinding.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings/test
2025-03-21T20:22:46.1828631Z   copying extension/pybindings/test/test_pybindings.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings/test
2025-03-21T20:22:46.1829530Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pytree/test
2025-03-21T20:22:46.1830334Z   copying extension/pytree/test/test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pytree/test
2025-03-21T20:22:46.1831175Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/pybindings
2025-03-21T20:22:46.1832153Z   copying extension/training/pybindings/_training_module.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/pybindings
2025-03-21T20:22:46.1833229Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/examples/XOR
2025-03-21T20:22:46.1834229Z   copying extension/training/examples/XOR/export_model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/examples/XOR
2025-03-21T20:22:46.1835660Z   copying extension/training/examples/XOR/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/examples/XOR
2025-03-21T20:22:46.1836650Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/examples/XOR/test
2025-03-21T20:22:46.1837715Z   copying extension/training/examples/XOR/test/test_export.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/examples/XOR/test
2025-03-21T20:22:46.1838774Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/pybindings/test
2025-03-21T20:22:46.1839793Z   copying extension/training/pybindings/test/test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/pybindings/test
2025-03-21T20:22:46.1840704Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/kernels/quantized
2025-03-21T20:22:46.1841459Z   copying kernels/quantized/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/kernels/quantized
2025-03-21T20:22:46.1842349Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/kernels/quantized/test
2025-03-21T20:22:46.1843410Z   copying kernels/quantized/test/test_out_variants.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/kernels/quantized/test
2025-03-21T20:22:46.1844553Z   copying kernels/quantized/test/test_quant_dequant_per_token.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/kernels/quantized/test
2025-03-21T20:22:46.1845417Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools
2025-03-21T20:22:46.1846036Z   copying devtools/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools
2025-03-21T20:22:46.1846831Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/backend_debug
2025-03-21T20:22:46.1847648Z   copying devtools/backend_debug/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/backend_debug
2025-03-21T20:22:46.1848664Z   copying devtools/backend_debug/delegation_info.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/backend_debug
2025-03-21T20:22:46.1849535Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program
2025-03-21T20:22:46.1850382Z   copying devtools/bundled_program/config.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program
2025-03-21T20:22:46.1851589Z   copying devtools/bundled_program/core.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program
2025-03-21T20:22:46.1852758Z   copying devtools/bundled_program/version.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program
2025-03-21T20:22:46.1853764Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/debug_format
2025-03-21T20:22:46.1854585Z   copying devtools/debug_format/base_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/debug_format
2025-03-21T20:22:46.1855551Z   copying devtools/debug_format/et_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/debug_format
2025-03-21T20:22:46.1856343Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etdump
2025-03-21T20:22:46.8766185Z   copying devtools/etdump/schema_flatcc.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etdump
2025-03-21T20:22:46.8767567Z   copying devtools/etdump/serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etdump
2025-03-21T20:22:46.8768552Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etrecord
2025-03-21T20:22:46.8769574Z   copying devtools/etrecord/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etrecord
2025-03-21T20:22:46.8780758Z   copying devtools/etrecord/_etrecord.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etrecord
2025-03-21T20:22:46.8781810Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector
2025-03-21T20:22:46.8782669Z   copying devtools/inspector/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector
2025-03-21T20:22:46.8783694Z   copying devtools/inspector/_inspector.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector
2025-03-21T20:22:46.8784856Z   copying devtools/inspector/_inspector_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector
2025-03-21T20:22:46.8785923Z   copying devtools/inspector/inspector_cli.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector
2025-03-21T20:22:46.8786887Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/size_analysis_tool
2025-03-21T20:22:46.8787920Z   copying devtools/size_analysis_tool/size_analysis_tool.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/size_analysis_tool
2025-03-21T20:22:46.8789081Z   copying devtools/size_analysis_tool/size_analysis_tool_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/size_analysis_tool
2025-03-21T20:22:46.8790093Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/visualization
2025-03-21T20:22:46.8790934Z   copying devtools/visualization/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/visualization
2025-03-21T20:22:46.8792263Z   copying devtools/visualization/visualization_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/visualization
2025-03-21T20:22:46.8793538Z   copying devtools/visualization/visualization_utils_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/visualization
2025-03-21T20:22:46.8794589Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/backend_debug/tests
2025-03-21T20:22:46.8795740Z   copying devtools/backend_debug/tests/test_delegation_info.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/backend_debug/tests
2025-03-21T20:22:46.8796725Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema
2025-03-21T20:22:46.8797676Z   copying devtools/bundled_program/schema/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema
2025-03-21T20:22:46.8798888Z   copying devtools/bundled_program/schema/bundled_program_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema
2025-03-21T20:22:46.8799930Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/serialize
2025-03-21T20:22:46.8801003Z   copying devtools/bundled_program/serialize/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/serialize
2025-03-21T20:22:46.8801969Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/test
2025-03-21T20:22:46.8803257Z   copying devtools/bundled_program/test/test_bundle_data.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/test
2025-03-21T20:22:46.8804653Z   copying devtools/bundled_program/test/test_config.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/test
2025-03-21T20:22:46.8805807Z   copying devtools/bundled_program/test/test_end2end.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/test
2025-03-21T20:22:46.8806742Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/util
2025-03-21T20:22:46.8807665Z   copying devtools/bundled_program/util/test_util.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/util
2025-03-21T20:22:46.8808625Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema/test
2025-03-21T20:22:46.8809671Z   copying devtools/bundled_program/schema/test/test_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema/test
2025-03-21T20:22:46.8810727Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/serialize/test
2025-03-21T20:22:46.8811885Z   copying devtools/bundled_program/serialize/test/test_serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/serialize/test
2025-03-21T20:22:46.8812904Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etdump/tests
2025-03-21T20:22:46.8813749Z   copying devtools/etdump/tests/serialize_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etdump/tests
2025-03-21T20:22:46.8814710Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etrecord/tests
2025-03-21T20:22:46.8815588Z   copying devtools/etrecord/tests/etrecord_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etrecord/tests
2025-03-21T20:22:46.8816468Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector/tests
2025-03-21T20:22:46.8817383Z   copying devtools/inspector/tests/event_blocks_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector/tests
2025-03-21T20:22:46.8818696Z   copying devtools/inspector/tests/inspector_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector/tests
2025-03-21T20:22:46.8820085Z   copying devtools/inspector/tests/inspector_utils_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector/tests
2025-03-21T20:22:46.8821430Z   copying devtools/bundled_program/config.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program
2025-03-21T20:22:46.8822428Z   copying devtools/bundled_program/core.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program
2025-03-21T20:22:46.8823423Z   copying devtools/bundled_program/version.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program
2025-03-21T20:22:46.8824488Z   copying devtools/bundled_program/schema/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema
2025-03-21T20:22:46.8825783Z   copying devtools/bundled_program/schema/bundled_program_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema
2025-03-21T20:22:46.8827216Z   copying devtools/bundled_program/serialize/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/serialize
2025-03-21T20:22:46.8828476Z   copying devtools/bundled_program/test/test_bundle_data.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/test
2025-03-21T20:22:46.8829639Z   copying devtools/bundled_program/test/test_config.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/test
2025-03-21T20:22:46.8830768Z   copying devtools/bundled_program/test/test_end2end.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/test
2025-03-21T20:22:46.8831895Z   copying devtools/bundled_program/util/test_util.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/util
2025-03-21T20:22:46.8833337Z   copying devtools/bundled_program/schema/test/test_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema/test
2025-03-21T20:22:46.8834809Z   copying devtools/bundled_program/serialize/test/test_serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/serialize/test
2025-03-21T20:22:46.8835775Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/runtime
2025-03-21T20:22:46.8836400Z   copying runtime/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/runtime
2025-03-21T20:22:46.8837046Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/runtime/test
2025-03-21T20:22:46.8837759Z   copying runtime/test/test_runtime.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/runtime/test
2025-03-21T20:22:46.8838449Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/util
2025-03-21T20:22:46.8839129Z   copying util/activation_memory_profiler.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/util
2025-03-21T20:22:46.8840025Z   copying util/collect_env.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/util
2025-03-21T20:22:46.8840899Z   copying util/python_profiler.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/util
2025-03-21T20:22:46.8841457Z   running egg_info
2025-03-21T20:22:46.8841733Z   creating executorch.egg-info
2025-03-21T20:22:46.8842072Z   writing executorch.egg-info/PKG-INFO
2025-03-21T20:22:46.8842560Z   writing dependency_links to executorch.egg-info/dependency_links.txt
2025-03-21T20:22:46.8843125Z   writing entry points to executorch.egg-info/entry_points.txt
2025-03-21T20:22:46.8843640Z   writing requirements to executorch.egg-info/requires.txt
2025-03-21T20:22:46.8844139Z   writing top-level names to executorch.egg-info/top_level.txt
2025-03-21T20:22:46.8844643Z   writing manifest file 'executorch.egg-info/SOURCES.txt'
2025-03-21T20:22:46.8845129Z   reading manifest file 'executorch.egg-info/SOURCES.txt'
2025-03-21T20:22:46.8845548Z   adding license file 'LICENSE'
2025-03-21T20:22:46.8845939Z   writing manifest file 'executorch.egg-info/SOURCES.txt'
2025-03-21T20:22:46.8846851Z   copying backends/apple/coreml/executorchcoreml.pyi -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml
2025-03-21T20:22:46.8848097Z   copying backends/apple/mps/serialization/schema.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/serialization
2025-03-21T20:22:46.8849323Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/schema
2025-03-21T20:22:46.9162489Z   copying backends/arm/third-party/serialization_lib/schema/tosa.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/schema
2025-03-21T20:22:46.9163801Z   copying backends/cadence/aot/functions.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:22:46.9164853Z   copying backends/cadence/aot/functions_fusion_g3.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:22:46.9166197Z   copying backends/cadence/aot/functions_hifi.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:22:46.9167426Z   copying backends/qualcomm/serialization/qc_compiler_spec.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/serialization
2025-03-21T20:22:46.9168411Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/aot/ir
2025-03-21T20:22:46.9169270Z   copying backends/qualcomm/aot/ir/qcir.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/aot/ir
2025-03-21T20:22:46.9170371Z   copying backends/vulkan/serialization/schema.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/serialization
2025-03-21T20:22:46.9171374Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9172534Z   copying backends/vulkan/runtime/graph/ops/glsl/addmm_naive_buffer.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9174072Z   copying backends/vulkan/runtime/graph/ops/glsl/addmm_naive_texture3d.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9175547Z   copying backends/vulkan/runtime/graph/ops/glsl/addmm_optimized.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9176958Z   copying backends/vulkan/runtime/graph/ops/glsl/arange.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9178322Z   copying backends/vulkan/runtime/graph/ops/glsl/avg_pool2d.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9179701Z   copying backends/vulkan/runtime/graph/ops/glsl/batchnorm.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9181100Z   copying backends/vulkan/runtime/graph/ops/glsl/binary_op.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9182634Z   copying backends/vulkan/runtime/graph/ops/glsl/bitw8_image_to_nchw_nobitw8buffer.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9184148Z   copying backends/vulkan/runtime/graph/ops/glsl/buffer_to_buffer.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9185569Z   copying backends/vulkan/runtime/graph/ops/glsl/buffer_to_nchw.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9186950Z   copying backends/vulkan/runtime/graph/ops/glsl/clone.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9188315Z   copying backends/vulkan/runtime/graph/ops/glsl/conv1d.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9189758Z   copying backends/vulkan/runtime/graph/ops/glsl/conv2d.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9191125Z   copying backends/vulkan/runtime/graph/ops/glsl/conv2d_dw.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9192682Z   copying backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_output_tile.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9194326Z   copying backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_prepack_weights.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9195848Z   copying backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_sned_output_tile.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9197501Z   copying backends/vulkan/runtime/graph/ops/glsl/conv2d_prepack_weights.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9198932Z   copying backends/vulkan/runtime/graph/ops/glsl/conv2d_pw.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9200351Z   copying backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9201872Z   copying backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d_prepack_weights.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9203659Z   copying backends/vulkan/runtime/graph/ops/glsl/copy_channel_offset.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9205146Z   copying backends/vulkan/runtime/graph/ops/glsl/copy_offset.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9206583Z   copying backends/vulkan/runtime/graph/ops/glsl/copy_packed_dim_offset.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9208004Z   copying backends/vulkan/runtime/graph/ops/glsl/embedding.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9209375Z   copying backends/vulkan/runtime/graph/ops/glsl/flip.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9210702Z   copying backends/vulkan/runtime/graph/ops/glsl/full.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9212109Z   copying backends/vulkan/runtime/graph/ops/glsl/grid_priors.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9213503Z   copying backends/vulkan/runtime/graph/ops/glsl/image_to_nchw.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9214894Z   copying backends/vulkan/runtime/graph/ops/glsl/index_select.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9216324Z   copying backends/vulkan/runtime/graph/ops/glsl/index_select_channel.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9217805Z   copying backends/vulkan/runtime/graph/ops/glsl/kv_cache_update.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9219199Z   copying backends/vulkan/runtime/graph/ops/glsl/max_pool2d.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9220594Z   copying backends/vulkan/runtime/graph/ops/glsl/native_layer_norm.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9222096Z   copying backends/vulkan/runtime/graph/ops/glsl/nchw_to_bitw8_image_nobitw8buffer.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9223587Z   copying backends/vulkan/runtime/graph/ops/glsl/nchw_to_buffer.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9225182Z   copying backends/vulkan/runtime/graph/ops/glsl/nchw_to_image.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9226536Z   copying backends/vulkan/runtime/graph/ops/glsl/no_op.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9227988Z   copying backends/vulkan/runtime/graph/ops/glsl/pad_channel.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9229390Z   copying backends/vulkan/runtime/graph/ops/glsl/pad_height_width.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9230782Z   copying backends/vulkan/runtime/graph/ops/glsl/permute.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9232148Z   copying backends/vulkan/runtime/graph/ops/glsl/q_4w_linear.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9233633Z   copying backends/vulkan/runtime/graph/ops/glsl/q_8w_linear.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9235090Z   copying backends/vulkan/runtime/graph/ops/glsl/q_8w_linear_optimized.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9403573Z   copying backends/vulkan/runtime/graph/ops/glsl/reduce.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9405035Z   copying backends/vulkan/runtime/graph/ops/glsl/repeat_channel.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9406818Z   copying backends/vulkan/runtime/graph/ops/glsl/repeat_interleave.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9408507Z   copying backends/vulkan/runtime/graph/ops/glsl/rotary_embedding.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9410146Z   copying backends/vulkan/runtime/graph/ops/glsl/sdpa_attn_weight_scale_and_mask.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9411706Z   copying backends/vulkan/runtime/graph/ops/glsl/select_batch_4d.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9413439Z   copying backends/vulkan/runtime/graph/ops/glsl/select_channel_3d.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9415133Z   copying backends/vulkan/runtime/graph/ops/glsl/select_channel_4d.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9417041Z   copying backends/vulkan/runtime/graph/ops/glsl/select_height_3d.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9419014Z   copying backends/vulkan/runtime/graph/ops/glsl/select_height_4d.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9420466Z   copying backends/vulkan/runtime/graph/ops/glsl/select_width_3d.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9422279Z   copying backends/vulkan/runtime/graph/ops/glsl/select_width_4d.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9423999Z   copying backends/vulkan/runtime/graph/ops/glsl/slice_packed_dim.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9426307Z   copying backends/vulkan/runtime/graph/ops/glsl/slice_unpacked_dim.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9428030Z   copying backends/vulkan/runtime/graph/ops/glsl/softmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9429750Z   copying backends/vulkan/runtime/graph/ops/glsl/unary_op.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9431628Z   copying backends/vulkan/runtime/graph/ops/glsl/upsample_nearest2d.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9433539Z   copying backends/vulkan/runtime/graph/ops/glsl/view.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:22:46.9434813Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/glsl
2025-03-21T20:22:46.9435886Z   copying backends/vulkan/test/glsl/all_shaders.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/glsl
2025-03-21T20:22:46.9437087Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:22:46.9438366Z   copying backends/vulkan/tools/gpuinfo/glsl/buf_bandwidth.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:22:46.9440242Z   copying backends/vulkan/tools/gpuinfo/glsl/buf_cacheline_size.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:22:46.9441865Z   copying backends/vulkan/tools/gpuinfo/glsl/reg_count.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:22:46.9443569Z   copying backends/vulkan/tools/gpuinfo/glsl/tex_bandwidth.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:22:46.9445211Z   copying backends/vulkan/tools/gpuinfo/glsl/tex_cacheline_concurr.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:22:46.9446775Z   copying backends/vulkan/tools/gpuinfo/glsl/warp_size.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:22:46.9448327Z   copying backends/xnnpack/serialization/runtime_schema.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/serialization
2025-03-21T20:22:46.9449904Z   copying backends/xnnpack/serialization/schema.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/serialization
2025-03-21T20:22:46.9451312Z   copying backends/xnnpack/third-party/generate-cpuinfo-wrappers.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party
2025-03-21T20:22:46.9452918Z   copying backends/xnnpack/third-party/FP16/confu.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FP16
2025-03-21T20:22:46.9454445Z   copying backends/xnnpack/third-party/FXdiv/confu.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FXdiv
2025-03-21T20:22:46.9456031Z   copying backends/xnnpack/third-party/cpuinfo/confu.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo
2025-03-21T20:22:46.9457515Z   copying backends/xnnpack/third-party/pthreadpool/confu.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/pthreadpool
2025-03-21T20:22:46.9459341Z   copying backends/xnnpack/third-party/XNNPACK/scripts/generate-build-identifier.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts
2025-03-21T20:22:46.9461342Z   copying backends/xnnpack/third-party/XNNPACK/scripts/sort-filenames.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts
2025-03-21T20:22:46.9462811Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9464546Z   copying backends/xnnpack/third-party/XNNPACK/test/bf16-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9466373Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-conv-hwc2chw.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9468074Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-dwconv2d-chw.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9470090Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9471958Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-igemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9473758Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-rdsum.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9475395Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-rsum.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9477012Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9478589Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-ibilinear-chw.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9480262Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-ibilinear.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9481845Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-igemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9483503Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-raddstoreexpminusmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9485131Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-rmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9486743Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-rmin.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9488387Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-rminmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9512747Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-rsum.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9514684Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-spmm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9516663Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-vmulcaddc-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9518645Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-argmaxpool.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9520482Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-conv-hwc.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9522203Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-conv-hwc2chw.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9524454Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-dwconv2d-chw.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9526292Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-gemm-goi-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9528209Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9530301Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-gemm-relu.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9532197Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-gemm.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9533974Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-gemminc-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9536003Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-ibilinear-chw.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9537952Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-ibilinear.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9539749Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-igemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9541584Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-igemm-relu.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9543388Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-igemm.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9545354Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-ppmm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9547295Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-qc4w-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9549110Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9551102Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm-relu.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9553148Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9555064Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-raddexpminusmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9557085Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-raddextexp.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9558984Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-raddstoreexpminusmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9560906Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-rdsum.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9562690Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-rmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9564782Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-rmin.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9566593Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-rminmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9568170Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-rsum.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9570107Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-spmm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9572020Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vmulcaddc-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9573865Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vscaleexpminusmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9575711Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vscaleextexp.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9577597Z   copying backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qb4w-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9579492Z   copying backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc4w-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9581457Z   copying backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc8w-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9583231Z   copying backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc8w-igemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9585200Z   copying backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qb4w-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9587095Z   copying backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qc4w-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9588881Z   copying backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qc8w-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9590826Z   copying backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qc8w-igemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9592752Z   copying backends/xnnpack/third-party/XNNPACK/test/qp8-f32-qb4w-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9594650Z   copying backends/xnnpack/third-party/XNNPACK/test/qp8-f32-qc4w-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9596788Z   copying backends/xnnpack/third-party/XNNPACK/test/qs8-qc8w-gemm-minmax-fp32.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9598952Z   copying backends/xnnpack/third-party/XNNPACK/test/qs8-qc8w-igemm-minmax-fp32.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9601118Z   copying backends/xnnpack/third-party/XNNPACK/test/qs8-rdsum-minmax-fp32.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9603209Z   copying backends/xnnpack/third-party/XNNPACK/test/qs8-rsum.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9694453Z   copying backends/xnnpack/third-party/XNNPACK/test/qu8-gemm-minmax-fp32.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9696261Z   copying backends/xnnpack/third-party/XNNPACK/test/qu8-gemm-minmax-rndnu.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9698311Z   copying backends/xnnpack/third-party/XNNPACK/test/qu8-igemm-minmax-fp32.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9700083Z   copying backends/xnnpack/third-party/XNNPACK/test/qu8-igemm-minmax-rndnu.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9701696Z   copying backends/xnnpack/third-party/XNNPACK/test/qu8-rdsum.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9703786Z   copying backends/xnnpack/third-party/XNNPACK/test/qu8-rsum.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9705450Z   copying backends/xnnpack/third-party/XNNPACK/test/s8-ibilinear.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9707186Z   copying backends/xnnpack/third-party/XNNPACK/test/u8-ibilinear.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9708908Z   copying backends/xnnpack/third-party/XNNPACK/test/u8-lut32norm.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9710482Z   copying backends/xnnpack/third-party/XNNPACK/test/u8-rmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9712307Z   copying backends/xnnpack/third-party/XNNPACK/test/x8-lut.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:22:46.9713970Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-argmaxpool-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:22:46.9715964Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:22:46.9717872Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc2chw-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:22:46.9719774Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-multipass-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:22:46.9721881Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-unipass-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:22:46.9723723Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv2d-chw-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:22:46.9725599Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-gemm-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:22:46.9727277Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-ibilinear-chw-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:22:46.9728936Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-ibilinear-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:22:46.9730718Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-lut-norm-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:22:46.9732437Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-lut-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:22:46.9734012Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-raddexpminusmax-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:22:46.9735745Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-raddextexp-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:22:46.9737396Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-raddstoreexpminusmax-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:22:46.9739053Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-rdsum-benchmark.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:22:46.9740616Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-rdsum-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:22:46.9742145Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-reduce-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:22:46.9743671Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-spmm-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:22:46.9745202Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-vbinary-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:22:46.9746767Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-vmulcaddc-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:22:46.9748384Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-vscaleexpminusmax-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:22:46.9750032Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-vscaleextexp-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:22:46.9751613Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-vunary-test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:22:46.9753286Z   copying backends/xnnpack/third-party/XNNPACK/tools/update-microkernels.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:22:46.9754860Z   copying backends/xnnpack/third-party/cpuinfo/scripts/android-device-dump.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/scripts
2025-03-21T20:22:46.9756471Z   copying backends/xnnpack/third-party/cpuinfo/scripts/arm-linux-filesystem-dump.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/scripts
2025-03-21T20:22:46.9758087Z   copying backends/xnnpack/third-party/cpuinfo/scripts/parse-x86-cpuid-dump.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/scripts
2025-03-21T20:22:46.9759633Z   copying backends/xnnpack/third-party/cpuinfo/deps/clog/confu.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/deps/clog
2025-03-21T20:22:46.9760987Z   copying examples/llm_pte_finetuning/phi3_alpaca_code_config.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning
2025-03-21T20:22:46.9762257Z   copying examples/llm_pte_finetuning/phi3_config.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning
2025-03-21T20:22:46.9763380Z   copying examples/llm_pte_finetuning/qwen_05b_config.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning
2025-03-21T20:22:46.9764526Z   copying examples/models/phi-3-mini/export_phi-3-mini.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini
2025-03-21T20:22:46.9765451Z   copying exir/delegate.pyi -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:22:46.9766337Z   copying exir/dialects/edge/edge.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge
2025-03-21T20:22:46.9767304Z   copying extension/pybindings/pybindings.pyi -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings
2025-03-21T20:22:46.9768406Z   copying extension/flat_tensor/serialize/flat_tensor.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/serialize
2025-03-21T20:22:46.9769585Z   copying extension/flat_tensor/serialize/scalar_type.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/serialize
2025-03-21T20:22:46.9770757Z   copying extension/training/pybindings/_training_lib.pyi -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/pybindings
2025-03-21T20:22:46.9771833Z   copying kernels/quantized/quantized.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/kernels/quantized
2025-03-21T20:22:47.0444226Z   copying kernels/quantized/test/supported_features_def.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/kernels/quantized/test
2025-03-21T20:22:47.0445346Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/schema
2025-03-21T20:22:47.0446081Z   copying schema/program.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/schema
2025-03-21T20:22:47.0446808Z   copying schema/scalar_type.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/schema
2025-03-21T20:22:47.0448019Z   copying devtools/etdump/etdump_schema_flatcc.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etdump
2025-03-21T20:22:47.0449101Z   copying devtools/etdump/scalar_type.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etdump
2025-03-21T20:22:47.0450533Z   copying devtools/bundled_program/schema/bundled_program_schema.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema
2025-03-21T20:22:47.0451792Z   copying devtools/bundled_program/schema/scalar_type.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema
2025-03-21T20:22:47.0453351Z   copying devtools/bundled_program/schema/bundled_program_schema.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema
2025-03-21T20:22:47.0454629Z   copying devtools/bundled_program/schema/scalar_type.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema
2025-03-21T20:22:47.0455831Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/runtime/kernel/test
2025-03-21T20:22:47.0456667Z   copying runtime/kernel/test/functions.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/runtime/kernel/test
2025-03-21T20:22:47.0457645Z   copying schema/scalar_type.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize
2025-03-21T20:22:47.0458663Z   copying schema/program.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize
2025-03-21T20:22:47.0459719Z   copying devtools/bundled_program/schema/bundled_program_schema.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/serialize
2025-03-21T20:22:47.0461305Z   copying devtools/bundled_program/schema/scalar_type.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/serialize
2025-03-21T20:22:47.0462222Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/share/cmake
2025-03-21T20:22:47.0463134Z   copying tools/cmake/executorch-wheel-config.cmake -> pip-out/lib.linux-x86_64-cpython-310/executorch/share/cmake/executorch-config.cmake
2025-03-21T20:22:47.0464689Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:22:47.0465552Z   copying runtime/core/array_ref.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:22:47.0466607Z   copying runtime/core/data_loader.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:22:47.0467833Z   copying runtime/core/defines.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:22:47.0468992Z   copying runtime/core/error.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:22:47.0470158Z   copying runtime/core/evalue.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:22:47.0471145Z   copying runtime/core/event_tracer.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:22:47.0472413Z   copying runtime/core/event_tracer_hooks.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:22:47.0473632Z   copying runtime/core/event_tracer_hooks_delegate.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:22:47.0474866Z   copying runtime/core/freeable_buffer.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:22:47.0476100Z   copying runtime/core/hierarchical_allocator.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:22:47.0477425Z   copying runtime/core/memory_allocator.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:22:47.0478657Z   copying runtime/core/named_data_map.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:22:47.0479766Z   copying runtime/core/result.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:22:47.0480757Z   copying runtime/core/span.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:22:47.0481834Z   copying runtime/core/tag.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:22:47.0482822Z   copying runtime/core/tensor_layout.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:22:47.0483854Z   copying runtime/core/tensor_shape_dynamism.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:22:47.0484928Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten
2025-03-21T20:22:47.0486055Z   copying runtime/core/exec_aten/exec_aten.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten
2025-03-21T20:22:47.0487327Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/testing_util
2025-03-21T20:22:47.0488856Z   copying runtime/core/exec_aten/testing_util/tensor_factory.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/testing_util
2025-03-21T20:22:47.0490376Z   copying runtime/core/exec_aten/testing_util/tensor_util.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/testing_util
2025-03-21T20:22:47.0491551Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/util
2025-03-21T20:22:47.0492659Z   copying runtime/core/exec_aten/util/dim_order_util.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/util
2025-03-21T20:22:47.0493945Z   copying runtime/core/exec_aten/util/scalar_type_util.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/util
2025-03-21T20:22:47.0495289Z   copying runtime/core/exec_aten/util/tensor_dimension_limit.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/util
2025-03-21T20:22:47.0497129Z   copying runtime/core/exec_aten/util/tensor_shape_to_c_string.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/util
2025-03-21T20:22:47.0498623Z   copying runtime/core/exec_aten/util/tensor_util.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/util
2025-03-21T20:22:47.0499823Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:22:47.0501239Z   copying runtime/core/portable_type/bfloat16.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:22:47.0502952Z   copying runtime/core/portable_type/bfloat16_math.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:22:47.0504498Z   copying runtime/core/portable_type/bits_types.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:22:47.0505743Z   copying runtime/core/portable_type/complex.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:22:47.0506983Z   copying runtime/core/portable_type/device.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:22:47.0508201Z   copying runtime/core/portable_type/half.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:22:47.0509440Z   copying runtime/core/portable_type/optional.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:22:47.0510750Z   copying runtime/core/portable_type/qint_types.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:22:47.0512203Z   copying runtime/core/portable_type/scalar.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:22:47.0513618Z   copying runtime/core/portable_type/scalar_type.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:22:47.0514990Z   copying runtime/core/portable_type/string_view.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:22:47.0516280Z   copying runtime/core/portable_type/tensor.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:22:47.0517686Z   copying runtime/core/portable_type/tensor_impl.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:22:47.0519111Z   copying runtime/core/portable_type/tensor_options.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:22:47.0520417Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/macros
2025-03-21T20:22:47.1070681Z   copying runtime/core/portable_type/c10/c10/macros/Export.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/macros
2025-03-21T20:22:47.1072687Z   copying runtime/core/portable_type/c10/c10/macros/Macros.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/macros
2025-03-21T20:22:47.1074397Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:22:47.1075859Z   copying runtime/core/portable_type/c10/c10/util/BFloat16-inl.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:22:47.1077803Z   copying runtime/core/portable_type/c10/c10/util/BFloat16-math.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:22:47.1080106Z   copying runtime/core/portable_type/c10/c10/util/BFloat16.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:22:47.1081755Z   copying runtime/core/portable_type/c10/c10/util/Half-inl.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:22:47.1083597Z   copying runtime/core/portable_type/c10/c10/util/Half.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:22:47.1085570Z   copying runtime/core/portable_type/c10/c10/util/TypeSafeSignMath.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:22:47.1087421Z   copying runtime/core/portable_type/c10/c10/util/bit_cast.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:22:47.1089241Z   copying runtime/core/portable_type/c10/c10/util/floating_point_utils.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:22:47.1091116Z   copying runtime/core/portable_type/c10/c10/util/irange.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:22:47.1092553Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel
2025-03-21T20:22:47.1093716Z   copying runtime/kernel/kernel_includes.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel
2025-03-21T20:22:47.1095390Z   copying runtime/kernel/kernel_runtime_context.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel
2025-03-21T20:22:47.1096723Z   copying runtime/kernel/operator_registry.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel
2025-03-21T20:22:47.1098193Z   copying runtime/kernel/thread_parallel_interface.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel
2025-03-21T20:22:47.1099427Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel/test
2025-03-21T20:22:47.1100732Z   copying runtime/kernel/test/test_util.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel/test
2025-03-21T20:22:47.1102339Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:22:47.1103438Z   copying runtime/platform/abort.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:22:47.1104707Z   copying runtime/platform/assert.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:22:47.1105929Z   copying runtime/platform/clock.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:22:47.1107283Z   copying runtime/platform/compat_unistd.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:22:47.1108507Z   copying runtime/platform/compiler.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:22:47.1109773Z   copying runtime/platform/log.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:22:47.1111203Z   copying runtime/platform/platform.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:22:47.1112495Z   copying runtime/platform/profiler.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:22:47.1113791Z   copying runtime/platform/runtime.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:22:47.1115316Z   copying runtime/platform/system.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:22:47.1116535Z   copying runtime/platform/types.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:22:47.1117587Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/test
2025-03-21T20:22:47.1118638Z   copying runtime/platform/test/stub_platform.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/test
2025-03-21T20:22:47.1120070Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/kernel_util
2025-03-21T20:22:47.1121376Z   copying extension/kernel_util/make_boxed_from_unboxed_functor.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/kernel_util
2025-03-21T20:22:47.1122946Z   copying extension/kernel_util/meta_programming.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/kernel_util
2025-03-21T20:22:47.1124350Z   copying extension/kernel_util/type_list.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/kernel_util
2025-03-21T20:22:47.1125417Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/tensor
2025-03-21T20:22:47.1126520Z   copying extension/tensor/tensor.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/tensor
2025-03-21T20:22:47.1127856Z   copying extension/tensor/tensor_accessor.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/tensor
2025-03-21T20:22:47.1129123Z   copying extension/tensor/tensor_ptr.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/tensor
2025-03-21T20:22:47.1130292Z   copying extension/tensor/tensor_ptr_maker.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/tensor
2025-03-21T20:22:47.1131509Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/threadpool
2025-03-21T20:22:47.1132700Z   copying extension/threadpool/cpuinfo_utils.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/threadpool
2025-03-21T20:22:47.1133970Z   copying extension/threadpool/threadpool.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/threadpool
2025-03-21T20:22:47.1135401Z   copying extension/threadpool/threadpool_guard.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/threadpool
2025-03-21T20:22:47.1136348Z   running build_ext
2025-03-21T20:22:47.1136912Z   creating /pytorch/executorch/pip-out/lib.linux-x86_64-cpython-310/executorch/data/bin
2025-03-21T20:22:47.1138042Z   copying tools/wheel/pip_data_bin_init.py.in -> /pytorch/executorch/pip-out/lib.linux-x86_64-cpython-310/executorch/data/bin/__init__.py
2025-03-21T20:22:47.1139714Z   copying /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/third-party/flatbuffers/flatc -> /pytorch/executorch/pip-out/lib.linux-x86_64-cpython-310/executorch/data/bin
2025-03-21T20:22:47.1141888Z   copying /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/extension/llm/custom_ops/libcustom_ops_aot_lib.so -> /pytorch/executorch/pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:22:47.1144054Z   copying /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/kernels/quantized/libquantized_ops_aot_lib.so -> /pytorch/executorch/pip-out/lib.linux-x86_64-cpython-310/executorch/kernels/quantized
2025-03-21T20:22:47.1146088Z   copying /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/_portable_lib.cpython-310-x86_64-linux-gnu.so -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings
2025-03-21T20:22:47.1147259Z   installing to pip-out/bdist.linux-x86_64/wheel
2025-03-21T20:22:47.1147700Z   running install
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2025-03-21T20:22:47.1148545Z   creating pip-out/bdist.linux-x86_64/wheel
2025-03-21T20:22:47.1148972Z   creating pip-out/bdist.linux-x86_64/wheel/executorch
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2025-03-21T20:22:47.1150224Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm
2025-03-21T20:22:47.1151255Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/arm_backend.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm
2025-03-21T20:22:47.1152932Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/arm_vela.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm
2025-03-21T20:22:47.1154926Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/ethosu_backend.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm
2025-03-21T20:22:47.1156516Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/ethosu_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm
2025-03-21T20:22:47.1158113Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/process_node.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm
2025-03-21T20:22:47.1159663Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/tosa_backend.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm
2025-03-21T20:22:47.1161185Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/tosa_mapping.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm
2025-03-21T20:22:47.1162718Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/tosa_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm
2025-03-21T20:22:47.1164496Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/tosa_quant_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm
2025-03-21T20:22:47.1166002Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/tosa_specification.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm
2025-03-21T20:22:47.1167547Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/tosa_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm
2025-03-21T20:22:47.1168652Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/_passes
2025-03-21T20:22:47.1169789Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/_debug_passes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:22:47.1171567Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/annotate_channels_last_dim_order_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:22:47.1173405Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/annotate_decomposed_matmul.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:22:47.1175157Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/arm_pass_manager.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:22:47.1176824Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/arm_pass_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:22:47.1178615Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/cast_int64_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:22:47.1180275Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/conv1d_unsqueeze_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:22:47.1182031Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/convert_any_default_dim_dims_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:22:47.1183824Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/convert_expand_copy_to_repeat.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:22:47.1185780Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/convert_full_like_to_full_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:22:47.1187703Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/convert_minmax_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:22:47.1189575Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/convert_split_to_slice.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:22:47.1191313Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/convert_squeezes_to_view.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:22:47.1192915Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/convert_to_clamp.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:22:47.1194719Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/decompose_batchnorm_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:22:47.1196520Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/decompose_div_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:22:47.1198273Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/decompose_layernorm_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:22:47.1200280Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/decompose_linear_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:22:47.1202432Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/decompose_meandim_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:22:47.1204151Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/decompose_select.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:22:47.1206073Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/decompose_softmax_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:22:47.1207898Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/decompose_softmax_unstable_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:22:47.1209778Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/decompose_var_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:22:47.1211437Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/fold_qdq_with_annotated_qparams_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:22:47.1213480Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/fuse_batchnorm2d_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:22:47.1215411Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/fuse_constant_ops_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:22:47.1217344Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/fuse_quantized_activation_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:22:47.1219392Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/insert_rescales_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:22:47.1221134Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/insert_table_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:22:47.1223385Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/keep_dims_false_to_squeeze_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:22:47.1225117Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/match_arg_ranks_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:22:47.1227303Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/meandim_to_averagepool_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:22:47.1229137Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/mm_to_bmm_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:22:47.1230903Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/remove_clone_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:22:47.1232785Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/scalars_to_attribute_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:22:47.1234707Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/size_adjust_conv2d_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:22:47.1237071Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/unsqueeze_before_repeat_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:22:47.1239128Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes/unsqueeze_scalar_placeholders_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/_passes
2025-03-21T20:22:47.1240518Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/operator_support
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2025-03-21T20:22:47.1243985Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support/convolution_support.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operator_support
2025-03-21T20:22:47.1245984Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support/minmax_support.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operator_support
2025-03-21T20:22:47.1247776Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support/pool_2d_support.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operator_support
2025-03-21T20:22:47.1249541Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support/reduce_sum_support.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operator_support
2025-03-21T20:22:47.1251555Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support/right_shift_support.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operator_support
2025-03-21T20:22:47.1253415Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support/slice_copy_support.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operator_support
2025-03-21T20:22:47.1255332Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support/to_copy_support.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operator_support
2025-03-21T20:22:47.1257298Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support/tosa_supported_operators.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operator_support
2025-03-21T20:22:47.1258635Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/operators
2025-03-21T20:22:47.1259923Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:22:47.1261839Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/node_visitor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:22:47.1263609Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_abs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:22:47.1265463Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_add.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:22:47.1267186Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_amax.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:22:47.1268854Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_amin.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:22:47.1270638Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_any.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:22:47.1272358Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_avg_pool2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:22:47.1274330Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_bmm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:22:47.1276096Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_cat.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:22:47.1277890Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_clamp.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:22:47.1279760Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_constant_pad_nd.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:22:47.1281531Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_conv2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:22:47.1283282Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_eq.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:22:47.1284872Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_exp.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:22:47.1286683Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_full.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:22:47.1288335Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_ge.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:22:47.1290081Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_get_item.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:22:47.1291759Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_gt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:22:47.1293537Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_le.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:22:47.1295109Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_log.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:22:47.1297002Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_lt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:22:47.1298446Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_max_pool2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:22:47.1300152Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_maximum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:22:47.1302280Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_minimum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:22:47.1303989Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_mul.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:22:47.1305766Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_permute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:22:47.1307469Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_reciprocal.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:22:47.1309239Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_repeat.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:22:47.1310899Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_rescale.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:22:47.1312618Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_rshift.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:22:47.1314424Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_rsqrt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:22:47.1316171Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_sigmoid.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:22:47.1317873Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_slice.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:22:47.1319632Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_sub.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:22:47.1321239Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_sum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:22:47.1322948Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_table.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:22:47.1324897Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_tanh.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:22:47.1326610Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_to_copy.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:22:47.1328240Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_to_dim_order_copy.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:22:47.1329961Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_transpose.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:22:47.1331638Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_upsample_nearest2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:22:47.1333636Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/op_view.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:22:47.1335336Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/ops_binary.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:22:47.1336998Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators/ops_unary.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/operators
2025-03-21T20:22:47.1338327Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/quantizer
2025-03-21T20:22:47.1339514Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/quantizer
2025-03-21T20:22:47.1341191Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer/arm_quantizer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/quantizer
2025-03-21T20:22:47.1342954Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer/arm_quantizer_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/quantizer
2025-03-21T20:22:47.1344713Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer/quantization_annotator.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/quantizer
2025-03-21T20:22:47.1346848Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer/quantization_config.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/quantizer
2025-03-21T20:22:47.1348100Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test
2025-03-21T20:22:47.1349268Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/common.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test
2025-03-21T20:22:47.1350910Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/conftest.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test
2025-03-21T20:22:47.1352279Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/runner_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test
2025-03-21T20:22:47.1354054Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/test_model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test
2025-03-21T20:22:47.1355340Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/misc
2025-03-21T20:22:47.1356551Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc/test_custom_partition.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/misc
2025-03-21T20:22:47.1358514Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc/test_debug_feats.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/misc
2025-03-21T20:22:47.1360435Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc/test_dim_order_guards.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/misc
2025-03-21T20:22:47.1362350Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc/test_lifted_tensor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/misc
2025-03-21T20:22:47.1364285Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc/test_model_evaluator.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/misc
2025-03-21T20:22:47.1366191Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc/test_multiple_delegates.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/misc
2025-03-21T20:22:47.1368184Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc/test_multiple_outputs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/misc
2025-03-21T20:22:47.1370511Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc/test_partition_decomposed_quantized_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/misc
2025-03-21T20:22:47.1372430Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc/test_tosa_spec.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/misc
2025-03-21T20:22:47.1373748Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/models
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2025-03-21T20:22:47.1377009Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models/test_dl3_arm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/models
2025-03-21T20:22:47.1378879Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models/test_llama.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/models
2025-03-21T20:22:47.1380665Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models/test_lstm_arm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/models
2025-03-21T20:22:47.1382548Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models/test_mobilenet_v2_arm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/models
2025-03-21T20:22:47.1384517Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models/test_nn_functional.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/models
2025-03-21T20:22:47.1386339Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models/test_nn_modules.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/models
2025-03-21T20:22:47.1388177Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models/test_torch_functions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/models
2025-03-21T20:22:47.1389981Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models/test_w2l_arm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/models
2025-03-21T20:22:47.1391258Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/ops
2025-03-21T20:22:47.1392435Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_abs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1394159Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_add.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1395826Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_amax.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1411795Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_amin.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1413543Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_any.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1415243Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_avg_pool2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1416939Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_batch_norm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1418595Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_bitwise.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1420591Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_bmm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1422249Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_cat.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1423992Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_clamp.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1426078Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_clone.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1427937Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_constant_pad_nd.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1429681Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_conv1d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1431366Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_conv2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1432971Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_conv_combos.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1434633Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_depthwise_conv.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1436333Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_div.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1437863Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_eq.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1439289Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_exp.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1441023Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_expand.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1442472Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_floor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1444119Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_full.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1445716Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_ge.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1447297Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_gt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1448917Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_hardsigmoid.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1450712Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_hardswish.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1452290Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_hardtanh.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1453774Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_layer_norm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1455621Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_le.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1457410Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_linear.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1459154Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_log.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1460944Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_logical.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1462774Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_logsoftmax.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1464656Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_lt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1466483Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_max_pool.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1468241Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_maximum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1470050Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_mean_dim.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1471870Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_minimum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1473791Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_mm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1475285Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_mul.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1477048Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_permute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1478850Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_reciprocal.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1480554Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_relu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1482350Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_repeat.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1484045Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_rshift.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1485878Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_rsqrt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1487420Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_scalars.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1489007Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_select.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1490696Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_sigmoid.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1492486Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_sigmoid_16bit.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1494108Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_sigmoid_32bit.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1496125Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_slice.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1498060Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_softmax.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1499886Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_split.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1501632Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_squeeze.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1503611Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_sub.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1505281Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_sum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1506825Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_tanh.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1508513Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_to_copy.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1510254Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_unsqueeze.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1512053Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_upsample_nearest2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1513910Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_var.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1515595Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops/test_view.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/ops
2025-03-21T20:22:47.1516948Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/passes
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2025-03-21T20:22:47.1520126Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_convert_to_clamp.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes
2025-03-21T20:22:47.1521970Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_fold_qdq_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes
2025-03-21T20:22:47.1523816Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_fuse_batchnorm_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes
2025-03-21T20:22:47.1525699Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_fuse_constant_ops_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes
2025-03-21T20:22:47.1527577Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_insert_table_ops_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes
2025-03-21T20:22:47.1529812Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_ioquantization_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes
2025-03-21T20:22:47.1531602Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_meandim_to_averagepool2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes
2025-03-21T20:22:47.1533323Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_rescale_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes
2025-03-21T20:22:47.1535312Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_unsqueeze_before_repeat_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes
2025-03-21T20:22:47.1536818Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/quantizer
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2025-03-21T20:22:47.1539699Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/tester
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2025-03-21T20:22:47.1562218Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/serializer/tosa_serializer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/serializer
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2025-03-21T20:22:47.1721709Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/annotate_decomposed.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:22:47.1723502Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/annotate_quant_attrs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:22:47.1725257Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/build_quant_io.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:22:47.1726987Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/constant_i64_to_i32.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:22:47.1728547Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/convert_bmm_to_matmul.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:22:47.1730414Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/convert_interpolate_with_upsample2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:22:47.1732264Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/convert_to_linear.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:22:47.1733993Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/decompose_any.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:22:47.1735736Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/decompose_einsum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:22:47.1737887Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/decompose_linalg_vector_norm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:22:47.1740199Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/decompose_silu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:22:47.1742089Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/expand_broadcast_tensor_shape.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:22:47.1743723Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/fold_qdq.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:22:47.1745346Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/fuse_consecutive_transpose.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:22:47.1747341Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/insert_io_qdq.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:22:47.1749295Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/insert_requantize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:22:47.1751167Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/layout_transform.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:22:47.1753304Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/lift_constant_scalar_operands.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:22:47.1755268Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/recompose_pixel_unshuffle.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:22:47.1757184Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/recompose_prelu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:22:47.1758982Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/recompose_rms_norm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:22:47.1760907Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/reduce_dynamic_range.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:22:47.1762618Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/remove_redundancy.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:22:47.1764351Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/replace_index_put_input.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:22:47.1766123Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/replace_inf_buffer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:22:47.1767988Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/tensor_i64_to_i32.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:22:47.1769813Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes
2025-03-21T20:22:47.1771205Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders
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2025-03-21T20:22:47.1774514Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/node_visitor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1776432Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_abs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1778377Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_adaptive_avg_pool2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1780206Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_add.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1782066Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_arange.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1783862Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_argmin.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1785758Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_avg_pool2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1787651Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_batch_norm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1789653Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_bmm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1791469Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_cat.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1793436Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_ceil.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1795535Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_clamp.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1797380Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_conv2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1799392Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_cos.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1801228Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_depth_to_space.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1803210Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_dequantize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1805126Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_div.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1806829Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_embedding.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1808597Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_eq.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1810454Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_expand.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1812433Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_full.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1814483Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_full_like.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1816281Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_ge.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1817979Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_gelu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1819731Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_group_norm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1821556Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_gt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1823290Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_hardsigmoid.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1825134Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_hardswish.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1827515Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_hardtanh.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1829928Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_index.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1831862Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_index_put.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1834138Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_instance_norm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1836071Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_layer_norm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1837947Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_le.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1839935Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_linear.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1841904Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_log.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1843715Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_log_softmax.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1845595Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_logical_not.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1847430Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_lt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1849249Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_matmul.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1851152Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_max.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1853086Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_max_pool2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1855110Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_mean_dim.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1857167Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_min.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1859016Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_mul.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1860938Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_ne.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1862626Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_neg.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1864410Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_or.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1866100Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_pad.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1868124Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_pow.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1869946Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_prelu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1871783Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_quantize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1873643Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_relu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1875336Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_repeat.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1877122Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_reshape.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1878954Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_rms_norm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1880757Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_rsqrt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1882548Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_select_copy.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1884357Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_sigmoid.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1886169Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_sin.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1887937Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_skip_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1889620Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_slice_copy.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1891394Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_softmax.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1893317Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_space_to_depth.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1895204Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_split_with_sizes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1896842Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_sqrt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1898630Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_squeeze.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1900481Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_sub.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1902747Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_sum_int_list.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1905023Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_tanh.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1906953Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_to.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1908788Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_topk.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1910603Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_transpose.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1912515Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_unsqueeze.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1914523Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_upsample_bilinear2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
2025-03-21T20:22:47.1916436Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/op_upsample_nearest2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
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2025-03-21T20:22:47.1920140Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/qnn_constants.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders
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2025-03-21T20:22:47.1928891Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/partition/qnn_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/partition
2025-03-21T20:22:47.1930738Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/partition/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/partition
2025-03-21T20:22:47.1931985Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/quantizer
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2025-03-21T20:22:47.1936048Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer/custom_annotation.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/quantizer
2025-03-21T20:22:47.1938280Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer/qconfig.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/quantizer
2025-03-21T20:22:47.1940130Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer/quantizer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/quantizer
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2025-03-21T20:22:47.1945225Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/serialization
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2025-03-21T20:22:47.1948671Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/serialization/qc_schema_serialize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/serialization
2025-03-21T20:22:47.1950705Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/serialization/qc_compiler_spec.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/serialization
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2025-03-21T20:22:47.1955223Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/tests/test_qnn_delegate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/tests
2025-03-21T20:22:47.1957140Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/tests/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/tests
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2025-03-21T20:22:47.1961408Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/utils/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/utils
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2025-03-21T20:22:47.1974019Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/duplicate_dynamic_quant_chain.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms
2025-03-21T20:22:47.1975691Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/fuse_batch_norm_with_conv.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms
2025-03-21T20:22:47.1977700Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/fuse_conv_with_clamp.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms
2025-03-21T20:22:47.1979187Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/fuse_dequant_linear.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms
2025-03-21T20:22:47.1980760Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/fuse_view_copy.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms
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2025-03-21T20:22:47.1983916Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/rank_0_to_rank_1.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms
2025-03-21T20:22:47.1985593Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/remove_clone_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms
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2025-03-21T20:22:47.1995751Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/test/test_duplicate_dynamic_quant_chain.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms/test
2025-03-21T20:22:47.1997754Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/test/test_rank_0_to_rank_1.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms/test
2025-03-21T20:22:47.1998854Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan
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2025-03-21T20:22:47.2001446Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/custom_ops_lib.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan
2025-03-21T20:22:47.2003357Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/op_registry.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan
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2025-03-21T20:22:47.2007678Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/_passes
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2025-03-21T20:22:47.2012648Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes/int4_weight_only_quantizer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/_passes
2025-03-21T20:22:47.2014460Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes/remove_asserts.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/_passes
2025-03-21T20:22:47.2016316Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes/remove_local_scalar_dense_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/_passes
2025-03-21T20:22:47.2018394Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes/remove_redundant_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/_passes
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2025-03-21T20:22:47.2021964Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes/tag_memory_meta_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/_passes
2025-03-21T20:22:47.2023085Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/partitioner
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2025-03-21T20:22:47.2040830Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/quantizer
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2025-03-21T20:22:47.2046204Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph
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2025-03-21T20:22:47.2054170Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_optimized.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
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2025-03-21T20:22:47.2058310Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/avg_pool2d.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
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2025-03-21T20:22:47.2391539Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_hardswish.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
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2025-03-21T20:22:47.2403136Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_quant_dequant.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
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2025-03-21T20:22:47.2404763Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_rsqrt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:22:47.2405629Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_sdpa.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:22:47.2406469Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_sigmoid.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
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2025-03-21T20:22:47.2412986Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_static_resize_bilinear_2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:22:47.2485541Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_sub.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
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2025-03-21T20:22:47.2487245Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/quant_params.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
2025-03-21T20:22:47.2487603Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/partition
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2025-03-21T20:22:47.2489287Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/xnnpack_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/partition
2025-03-21T20:22:47.2489694Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/partition/config
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2025-03-21T20:22:47.2491509Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config/gemm_configs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/partition/config
2025-03-21T20:22:47.2492529Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config/generic_node_configs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/partition/config
2025-03-21T20:22:47.2493340Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config/node_configs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/partition/config
2025-03-21T20:22:47.2494553Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config/quant_affine_configs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/partition/config
2025-03-21T20:22:47.2495376Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config/xnnpack_config.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/partition/config
2025-03-21T20:22:47.2495706Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/partition/graphs
2025-03-21T20:22:47.2496697Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/graphs/bilinear_2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/partition/graphs
2025-03-21T20:22:47.2497587Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/graphs/sdpa.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/partition/graphs
2025-03-21T20:22:47.2497880Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/quantizer
2025-03-21T20:22:47.2498693Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/quantizer/xnnpack_quantizer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/quantizer
2025-03-21T20:22:47.2499710Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/quantizer/xnnpack_quantizer_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/quantizer
2025-03-21T20:22:47.2500035Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/serialization
2025-03-21T20:22:47.2500844Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/serialization/xnnpack_graph_schema.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/serialization
2025-03-21T20:22:47.2501990Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/serialization/xnnpack_graph_serialize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/serialization
2025-03-21T20:22:47.2503039Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/serialization/runtime_schema.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/serialization
2025-03-21T20:22:47.2503811Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/serialization/schema.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/serialization
2025-03-21T20:22:47.2504221Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test
2025-03-21T20:22:47.2505119Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/test_xnnpack_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test
2025-03-21T20:22:47.2505853Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/test_xnnpack_utils_classes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test
2025-03-21T20:22:47.2506167Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/models
2025-03-21T20:22:47.2507166Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/deeplab_v3.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/models
2025-03-21T20:22:47.2507897Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/edsr.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/models
2025-03-21T20:22:47.2508662Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/emformer_rnnt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/models
2025-03-21T20:22:47.2509671Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/inception_v3.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/models
2025-03-21T20:22:47.2510596Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/inception_v4.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/models
2025-03-21T20:22:47.2511519Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/llama2_et_example.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/models
2025-03-21T20:22:47.2512413Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/mobilebert.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/models
2025-03-21T20:22:47.2513389Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/mobilenet_v2.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/models
2025-03-21T20:22:47.2514443Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/mobilenet_v3.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/models
2025-03-21T20:22:47.2515176Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/resnet.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/models
2025-03-21T20:22:47.2515985Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/torchvision_vit.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/models
2025-03-21T20:22:47.2516960Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/very_big_model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/models
2025-03-21T20:22:47.2517680Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models/w2l.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/models
2025-03-21T20:22:47.2517954Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops
2025-03-21T20:22:47.2518913Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_abs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:22:47.2519611Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_add.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:22:47.2520341Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_avgpool2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:22:47.2521214Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_bilinear2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:22:47.2521930Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_bmm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:22:47.2522614Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_cat.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:22:47.2523508Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_ceil.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:22:47.2597127Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_check_quant_params.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:22:47.2599196Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_clamp.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:22:47.2600831Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_conv1d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:22:47.2602895Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_conv2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:22:47.2605393Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_div.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:22:47.2607139Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_elu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:22:47.2608970Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_floor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:22:47.2610763Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_hardswish.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:22:47.2612359Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_hardtanh.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:22:47.2614117Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_leaky_relu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:22:47.2615882Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_linear.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:22:47.2617494Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_lstm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:22:47.2619129Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_max_dim.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:22:47.2620874Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_maximum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:22:47.2622560Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_maxpool2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:22:47.2624192Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_mean_dim.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:22:47.2625956Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_minimum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:22:47.2627679Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_multiply.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:22:47.2629320Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_negate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:22:47.2631013Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_permute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:22:47.2632733Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_pow.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:22:47.2634622Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_prelu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:22:47.2636222Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_quantize_per_tensor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:22:47.2637978Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_relu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:22:47.2639921Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_rsqrt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:22:47.2641518Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_sdpa.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:22:47.2643246Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_sigmoid.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:22:47.2645194Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_slice_copy.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:22:47.2646951Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_softmax.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:22:47.2648621Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_sqrt.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:22:47.2650449Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_square.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:22:47.2652379Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_static_constant_pad.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:22:47.2654284Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops/test_sub.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/ops
2025-03-21T20:22:47.2655400Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/passes
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2025-03-21T20:22:47.2658848Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes/test_batch_norm_fusion.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/passes
2025-03-21T20:22:47.2660673Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes/test_channels_last_tagged_reshape.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/passes
2025-03-21T20:22:47.2662506Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes/test_convert_to_linear.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/passes
2025-03-21T20:22:47.2664562Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes/test_decompose_cat_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/passes
2025-03-21T20:22:47.2666457Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes/test_remove_get_item_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/passes
2025-03-21T20:22:47.2668507Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes/test_tag_implicit_q_dq_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/passes
2025-03-21T20:22:47.2669733Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/quantizer
2025-03-21T20:22:47.2671187Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/quantizer/test_pt2e_quantization.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/quantizer
2025-03-21T20:22:47.2673405Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/quantizer/test_representation.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/quantizer
2025-03-21T20:22:47.2675569Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/quantizer/test_xnnpack_quantizer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/quantizer
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2025-03-21T20:22:47.3065557Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/convolution_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:22:47.3067427Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/indexing_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:22:47.3069230Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/linear_algebra_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:22:47.3071138Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/node_visitor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:22:47.3073245Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/normalization_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:22:47.3075340Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/op_clone.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:22:47.3077191Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/op_getitem.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:22:47.3078956Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/op_quant_dequant.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:22:47.3080839Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/op_skip_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:22:47.3082725Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/pad_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:22:47.3126270Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/pooling_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:22:47.3128272Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/range_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:22:47.3130234Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/reduce_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:22:47.3132104Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/shape_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:22:47.3133905Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/unary_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators
2025-03-21T20:22:47.3135367Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/partition
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2025-03-21T20:22:47.3138628Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/partition/mps_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/partition
2025-03-21T20:22:47.3140019Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/serialization
2025-03-21T20:22:47.3141581Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/serialization/mps_graph_schema.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/serialization
2025-03-21T20:22:47.3143695Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/serialization/mps_graph_serialize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/serialization
2025-03-21T20:22:47.3145602Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/serialization/schema.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/serialization
2025-03-21T20:22:47.3147032Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/test
2025-03-21T20:22:47.3148377Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test/test_mps.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/test
2025-03-21T20:22:47.3149983Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test/test_mps_binary_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/test
2025-03-21T20:22:47.3151905Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test/test_mps_indexing_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/test
2025-03-21T20:22:47.3154147Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test/test_mps_linear.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/test
2025-03-21T20:22:47.3155966Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test/test_mps_models.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/test
2025-03-21T20:22:47.3157699Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test/test_mps_unary_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/test
2025-03-21T20:22:47.3159645Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test/test_mps_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/test
2025-03-21T20:22:47.3161099Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/utils
2025-03-21T20:22:47.3162241Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/utils/mps_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/utils
2025-03-21T20:22:47.3164046Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/utils/quant_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/utils
2025-03-21T20:22:47.3165398Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml
2025-03-21T20:22:47.3166167Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/compiler
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2025-03-21T20:22:47.3169437Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/compiler/coreml_preprocess.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/coreml/compiler
2025-03-21T20:22:47.3170921Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/partition
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2025-03-21T20:22:47.3174122Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/partition/coreml_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/coreml/partition
2025-03-21T20:22:47.3175671Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/quantizer
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2025-03-21T20:22:47.3178867Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/quantizer/coreml_quantizer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/coreml/quantizer
2025-03-21T20:22:47.3180385Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/test
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2025-03-21T20:22:47.3183617Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/test/test_coreml_quantizer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/coreml/test
2025-03-21T20:22:47.3185091Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/runtime
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2025-03-21T20:22:47.3189154Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/runtime/test
2025-03-21T20:22:47.3190506Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/runtime/test/export_stateful_model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/coreml/runtime/test
2025-03-21T20:22:47.3192461Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/executorchcoreml.pyi -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/coreml
2025-03-21T20:22:47.3194082Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence
2025-03-21T20:22:47.3194715Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/aot
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2025-03-21T20:22:47.3197357Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/compiler.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:22:47.3199017Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/compiler_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:22:47.3200580Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/export_example.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:22:47.3202405Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/fuse_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:22:47.3204218Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/graph_builder.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:22:47.3206078Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/memory_constraints.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:22:47.3207901Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/memory_planning.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:22:47.3209732Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/ops_registrations.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:22:47.3246136Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/pass_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:22:47.3247930Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/passes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:22:47.3249780Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/ref_implementations.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:22:47.3251589Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/remove_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:22:47.3253138Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/reorder_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:22:47.3254888Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/replace_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:22:47.3256681Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/simplify_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:22:47.3258390Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:22:47.3259731Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/aot/quantizer
2025-03-21T20:22:47.3261127Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/quantizer/fusion_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot/quantizer
2025-03-21T20:22:47.3262895Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/quantizer/patterns.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot/quantizer
2025-03-21T20:22:47.3264842Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/quantizer/quantizer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot/quantizer
2025-03-21T20:22:47.3266602Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/quantizer/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot/quantizer
2025-03-21T20:22:47.3268024Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/aot/tests
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2025-03-21T20:22:47.3271120Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests/test_graph_builder.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot/tests
2025-03-21T20:22:47.3272950Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests/test_memory_passes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot/tests
2025-03-21T20:22:47.3274912Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests/test_pass_filter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot/tests
2025-03-21T20:22:47.3276757Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests/test_remove_ops_passes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot/tests
2025-03-21T20:22:47.3278625Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests/test_reorder_ops_passes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot/tests
2025-03-21T20:22:47.3280345Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests/test_replace_ops_passes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot/tests
2025-03-21T20:22:47.3282174Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests/test_simplify_ops_passes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot/tests
2025-03-21T20:22:47.3283939Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/functions.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:22:47.3285713Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/functions_fusion_g3.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:22:47.3287374Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/functions_hifi.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/aot
2025-03-21T20:22:47.3288547Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/runtime
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2025-03-21T20:22:47.3291325Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/runtime/executor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/runtime
2025-03-21T20:22:47.3293080Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/runtime/runtime.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/runtime
2025-03-21T20:22:47.3295041Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/runtime/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/runtime
2025-03-21T20:22:47.3296446Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils
2025-03-21T20:22:47.3297498Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/facto_util.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils
2025-03-21T20:22:47.3299175Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/gen_header.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils
2025-03-21T20:22:47.3301063Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/post_compilation.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils
2025-03-21T20:22:47.3302745Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO
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2025-03-21T20:22:47.3308505Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/calibrator/runner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/calibrator
2025-03-21T20:22:47.3309862Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO/examples
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2025-03-21T20:22:47.3313232Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/examples/minimal_example.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/examples
2025-03-21T20:22:47.3315166Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/examples/random_seed.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/examples
2025-03-21T20:22:47.3316604Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO/facto
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2025-03-21T20:22:47.3363560Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute
2025-03-21T20:22:47.3365845Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/solve.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute
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2025-03-21T20:22:47.3968184Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/_serialize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize
2025-03-21T20:22:47.3968803Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/data_serializer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize
2025-03-21T20:22:47.3969393Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/padding.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize
2025-03-21T20:22:47.3969651Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/_serialize/test
2025-03-21T20:22:47.3970520Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize/test
2025-03-21T20:22:47.3971141Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test/test_cord.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize/test
2025-03-21T20:22:47.3971805Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test/test_flatbuffer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize/test
2025-03-21T20:22:47.3972661Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test/test_named_data_store.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize/test
2025-03-21T20:22:47.3973581Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test/test_program.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize/test
2025-03-21T20:22:47.3974184Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/scalar_type.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize
2025-03-21T20:22:47.3974971Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/program.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize
2025-03-21T20:22:47.3975243Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend
2025-03-21T20:22:47.3975952Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/backend_api.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend
2025-03-21T20:22:47.3976547Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/backend_details.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend
2025-03-21T20:22:47.3977265Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/compile_spec_schema.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend
2025-03-21T20:22:47.3977963Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/operator_support.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend
2025-03-21T20:22:47.3978663Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend
2025-03-21T20:22:47.3979358Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend
2025-03-21T20:22:47.3979697Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/canonical_partitioners
2025-03-21T20:22:47.3980543Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/canonical_partitioners/config_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/canonical_partitioners
2025-03-21T20:22:47.3981437Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/canonical_partitioners/duplicate_constant_node_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/canonical_partitioners
2025-03-21T20:22:47.3982383Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/canonical_partitioners/duplicate_dequant_node_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/canonical_partitioners
2025-03-21T20:22:47.3983227Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/canonical_partitioners/pattern_op_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/canonical_partitioners
2025-03-21T20:22:47.3983493Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test
2025-03-21T20:22:47.3984338Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/backend_with_compiler_demo.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test
2025-03-21T20:22:47.3985085Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/backend_with_delegate_mapping_demo.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test
2025-03-21T20:22:47.3985782Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/backend_with_named_data_map.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test
2025-03-21T20:22:47.3986544Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/hta_partitioner_demo.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test
2025-03-21T20:22:47.3987203Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/op_partitioner_demo.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test
2025-03-21T20:22:47.3987861Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/qnn_backend_demo.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test
2025-03-21T20:22:47.3988702Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_backend_with_named_data_map.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test
2025-03-21T20:22:47.3989351Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_backends.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test
2025-03-21T20:22:47.4091138Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_backends_lifted.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test
2025-03-21T20:22:47.4092337Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_backends_nested.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test
2025-03-21T20:22:47.4093463Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_compatibility.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test
2025-03-21T20:22:47.4094222Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_debug_handle_map.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test
2025-03-21T20:22:47.4095020Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_delegate_map_builder.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test
2025-03-21T20:22:47.4095864Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_graph_partition.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test
2025-03-21T20:22:47.4096677Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_lowered_backend_module.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test
2025-03-21T20:22:47.4097414Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test
2025-03-21T20:22:47.4098246Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_passes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test
2025-03-21T20:22:47.4098951Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/test_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test
2025-03-21T20:22:47.4099227Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test/demos
2025-03-21T20:22:47.4100200Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos/test_delegate_aten_mode.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test/demos
2025-03-21T20:22:47.4101055Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos/test_xnnpack_qnnpack.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test/demos
2025-03-21T20:22:47.4101367Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test/demos/rpc
2025-03-21T20:22:47.4102610Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos/rpc/executor_backend_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test/demos/rpc
2025-03-21T20:22:47.4103478Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos/rpc/executor_backend_preprocess.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test/demos/rpc
2025-03-21T20:22:47.4104206Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos/rpc/test_rpc.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend/test/demos/rpc
2025-03-21T20:22:47.4104438Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/capture
2025-03-21T20:22:47.4105152Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/capture
2025-03-21T20:22:47.4105702Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture/_capture.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/capture
2025-03-21T20:22:47.4106255Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture/_config.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/capture
2025-03-21T20:22:47.4106797Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture/_unlift.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/capture
2025-03-21T20:22:47.4107095Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects
2025-03-21T20:22:47.4107711Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects
2025-03-21T20:22:47.4108335Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects
2025-03-21T20:22:47.4108731Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/backend
2025-03-21T20:22:47.4109488Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/backend/_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/backend
2025-03-21T20:22:47.4109820Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/backend/test
2025-03-21T20:22:47.4110719Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/backend/test/test_backend_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/backend/test
2025-03-21T20:22:47.4110981Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge
2025-03-21T20:22:47.4111783Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/edge
2025-03-21T20:22:47.4112105Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/arg
2025-03-21T20:22:47.4112923Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/arg/model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/edge/arg
2025-03-21T20:22:47.4113691Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/arg/type.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/edge/arg
2025-03-21T20:22:47.4113957Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/dtype
2025-03-21T20:22:47.4114851Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/dtype/runner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/edge/dtype
2025-03-21T20:22:47.4115610Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/dtype/supported.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/edge/dtype
2025-03-21T20:22:47.4116297Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/dtype/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/edge/dtype
2025-03-21T20:22:47.4116569Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/op
2025-03-21T20:22:47.4117428Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/op/api.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/edge/op
2025-03-21T20:22:47.4118103Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/op/sample_input.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/edge/op
2025-03-21T20:22:47.4118386Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/op/test
2025-03-21T20:22:47.4119207Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/op/test/test_api.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/edge/op/test
2025-03-21T20:22:47.4119519Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/spec
2025-03-21T20:22:47.4120191Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/spec/gen.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/edge/spec
2025-03-21T20:22:47.4120851Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/spec/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/edge/spec
2025-03-21T20:22:47.4121127Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/test
2025-03-21T20:22:47.4122111Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/test/test_edge_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/edge/test
2025-03-21T20:22:47.4122822Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/test/test_edge_yaml.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/edge/test
2025-03-21T20:22:47.4123435Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/edge.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/edge
2025-03-21T20:22:47.4123928Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/test
2025-03-21T20:22:47.4124644Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/test/test_exir_dialect_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects/test
2025-03-21T20:22:47.4124870Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/emit
2025-03-21T20:22:47.4125379Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/emit
2025-03-21T20:22:47.4126031Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit/_emit_program.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/emit
2025-03-21T20:22:47.4126663Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit/_emitter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/emit
2025-03-21T20:22:47.4126899Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/emit/test
2025-03-21T20:22:47.4127501Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit/test/test_emit.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/emit/test
2025-03-21T20:22:47.4127729Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/operator
2025-03-21T20:22:47.4222710Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator/convert.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/operator
2025-03-21T20:22:47.4223424Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator/manip.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/operator
2025-03-21T20:22:47.4224021Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator/util.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/operator
2025-03-21T20:22:47.4224275Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/operator/test
2025-03-21T20:22:47.4225027Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator/test/test_operator.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/operator/test
2025-03-21T20:22:47.4225287Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes
2025-03-21T20:22:47.4225837Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:22:47.4226490Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/_quant_patterns_and_replacements.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:22:47.4227205Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/const_prop_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:22:47.4227958Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/constant_prop_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:22:47.4228596Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/debug_handle_generator_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:22:47.4229281Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/dim_order_ops_registry.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:22:47.4230120Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/dynamic_shape_prop_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:22:47.4230811Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/executorch_prim_ops_registry.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:22:47.4231487Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/external_constants_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:22:47.4232297Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/init_mutable_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:22:47.4233281Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/insert_write_back_for_buffers_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:22:47.4233905Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/memory_format_ops_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:22:47.4234760Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/memory_planning_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:22:47.4235569Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/normalize_transpose_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:22:47.4236219Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/normalize_view_copy_base_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:22:47.4237031Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/pass_registry.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:22:47.4237695Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/prune_empty_tensors_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:22:47.4238298Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/quant_fusion_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:22:47.4239068Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/quantize_io_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:22:47.4239799Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/remove_graph_asserts_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:22:47.4240446Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/remove_mixed_type_operators.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:22:47.4241131Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/remove_noop_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:22:47.4241945Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/replace_aten_with_edge_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:22:47.4242649Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/replace_broken_ops_with_function_ops_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:22:47.4243298Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/replace_edge_with_backend_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:22:47.4244143Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/replace_sym_size_op_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:22:47.4244824Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/replace_view_copy_with_view_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:22:47.4245441Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/scalar_to_tensor_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:22:47.4246202Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/spec_prop_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:22:47.4246874Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/sym_shape_eval_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:22:47.4247468Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/sym_to_tensor_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:22:47.4248127Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/weights_to_outputs_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:22:47.4248561Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/program
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2025-03-21T20:22:47.4249776Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program/_fake_program.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/program
2025-03-21T20:22:47.4250390Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program/_program.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/program
2025-03-21T20:22:47.4250836Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/program/test
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2025-03-21T20:22:47.4252287Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program/test/test_fake_program.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/program/test
2025-03-21T20:22:47.4252986Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program/test/test_program.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/program/test
2025-03-21T20:22:47.4253315Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/serde
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2025-03-21T20:22:47.4254515Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde/export_serialize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/serde
2025-03-21T20:22:47.4255058Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde/schema.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/serde
2025-03-21T20:22:47.4255789Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde/schema_check.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/serde
2025-03-21T20:22:47.4256433Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde/serialize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/serde
2025-03-21T20:22:47.4256954Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde/union.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/serde
2025-03-21T20:22:47.4257499Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde/upgrade.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/serde
2025-03-21T20:22:47.4257829Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests
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2025-03-21T20:22:47.4353470Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/common.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:22:47.4354269Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/control_flow_models.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:22:47.4354868Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/dynamic_shape_models.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:22:47.4355499Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/models.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:22:47.4356302Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_arg_validator.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:22:47.4356904Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_capture.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:22:47.4357484Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_common.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:22:47.4358339Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_delegate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:22:47.4358999Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_dim_order_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:22:47.4359649Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_dynamic_shape_propagation.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:22:47.4360340Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_error.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:22:47.4360991Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_joint_graph.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:22:47.4361625Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_memory_format_ops_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:22:47.4362295Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_memory_format_ops_pass_aten.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:22:47.4362973Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_memory_format_ops_pass_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:22:47.4363624Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_memory_planning.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:22:47.4364207Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_op_convert.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:22:47.4364820Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_pass_infra.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:22:47.4365458Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_passes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:22:47.4366036Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_print_program.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:22:47.4366716Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_prune_empty_tensors_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:22:47.4367549Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_quant_fusion_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:22:47.4368142Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_quantization.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:22:47.4368730Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_quantize_io_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:22:47.4369368Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_remove_view_copy.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:22:47.4370046Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_serde.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:22:47.4370605Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_tensor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:22:47.4371151Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_tracer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:22:47.4371727Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_verification.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:22:47.4372462Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/test_warnings.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:22:47.4373107Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/transformer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:22:47.4373371Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/verification
2025-03-21T20:22:47.4374055Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification/arg_validator.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/verification
2025-03-21T20:22:47.4374952Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification/dev_html.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/verification
2025-03-21T20:22:47.4375600Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification/interpreter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/verification
2025-03-21T20:22:47.4376232Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification/verifier.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/verification
2025-03-21T20:22:47.4376509Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/verification/test
2025-03-21T20:22:47.4377479Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification/test/test_verifier.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/verification/test
2025-03-21T20:22:47.4377972Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/delegate.pyi -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir
2025-03-21T20:22:47.4378199Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/extension
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2025-03-21T20:22:47.4379245Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/android_test/add_model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/android_test
2025-03-21T20:22:47.4379628Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/export_util
2025-03-21T20:22:47.4380271Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/export_util/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/export_util
2025-03-21T20:22:47.4380907Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/export_util/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/export_util
2025-03-21T20:22:47.4381164Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/flat_tensor
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2025-03-21T20:22:47.4382101Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/flat_tensor/serialize
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2025-03-21T20:22:47.4383596Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/serialize/flat_tensor_schema.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/flat_tensor/serialize
2025-03-21T20:22:47.4384350Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/serialize/serialize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/flat_tensor/serialize
2025-03-21T20:22:47.4385092Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/serialize/flat_tensor.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/flat_tensor/serialize
2025-03-21T20:22:47.4385847Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/serialize/scalar_type.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/flat_tensor/serialize
2025-03-21T20:22:47.4386123Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/flat_tensor/test
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2025-03-21T20:22:47.4387196Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/gguf_util
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2025-03-21T20:22:47.4608775Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/gguf_util/converter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/gguf_util
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2025-03-21T20:22:47.5022973Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/device.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:22:47.5023864Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/half.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:22:47.5024766Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/optional.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:22:47.5025915Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/qint_types.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:22:47.5026863Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/scalar.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:22:47.5027928Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/scalar_type.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:22:47.5093308Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/string_view.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:22:47.5094382Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/tensor.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:22:47.5095342Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/tensor_impl.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:22:47.5096421Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/tensor_options.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:22:47.5096846Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/runtime/core/portable_type/c10
2025-03-21T20:22:47.5097294Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/runtime/core/portable_type/c10/c10
2025-03-21T20:22:47.5097806Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/runtime/core/portable_type/c10/c10/macros
2025-03-21T20:22:47.5098996Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/macros/Export.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/macros
2025-03-21T20:22:47.5100083Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/macros/Macros.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/macros
2025-03-21T20:22:47.5100748Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:22:47.5101872Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/BFloat16-inl.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:22:47.5103674Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/BFloat16-math.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:22:47.5104722Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:22:47.5106002Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:22:47.5107008Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/Half.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:22:47.5108321Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/TypeSafeSignMath.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:22:47.5109341Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/bit_cast.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:22:47.5110614Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/floating_point_utils.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:22:47.5111640Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/irange.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:22:47.5112005Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/runtime/kernel
2025-03-21T20:22:47.5113164Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel/kernel_includes.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/kernel
2025-03-21T20:22:47.5114031Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel/kernel_runtime_context.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/kernel
2025-03-21T20:22:47.5114929Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel/operator_registry.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/kernel
2025-03-21T20:22:47.5115897Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel/thread_parallel_interface.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/kernel
2025-03-21T20:22:47.5116249Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/runtime/kernel/test
2025-03-21T20:22:47.5117176Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel/test/test_util.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/kernel/test
2025-03-21T20:22:47.5117647Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/runtime/platform
2025-03-21T20:22:47.5118701Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/abort.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/platform
2025-03-21T20:22:47.5119598Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/assert.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/platform
2025-03-21T20:22:47.5120526Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/clock.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/platform
2025-03-21T20:22:47.5121433Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/compat_unistd.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/platform
2025-03-21T20:22:47.5122551Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/compiler.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/platform
2025-03-21T20:22:47.5123335Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/log.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/platform
2025-03-21T20:22:47.5124159Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/platform.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/platform
2025-03-21T20:22:47.5124969Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/profiler.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/platform
2025-03-21T20:22:47.5125779Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/runtime.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/platform
2025-03-21T20:22:47.5126575Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/system.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/platform
2025-03-21T20:22:47.5127383Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/types.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/platform
2025-03-21T20:22:47.5127741Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/runtime/platform/test
2025-03-21T20:22:47.5128628Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/test/stub_platform.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/platform/test
2025-03-21T20:22:47.5128920Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/extension
2025-03-21T20:22:47.5129277Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/extension/kernel_util
2025-03-21T20:22:47.5130220Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/extension/kernel_util
2025-03-21T20:22:47.5131091Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/kernel_util/meta_programming.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/extension/kernel_util
2025-03-21T20:22:47.5730701Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/kernel_util/type_list.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/extension/kernel_util
2025-03-21T20:22:47.5731100Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/extension/tensor
2025-03-21T20:22:47.5732183Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/tensor/tensor.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/extension/tensor
2025-03-21T20:22:47.5733392Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/tensor/tensor_accessor.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/extension/tensor
2025-03-21T20:22:47.5734221Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/tensor/tensor_ptr.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/extension/tensor
2025-03-21T20:22:47.5735058Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/tensor/tensor_ptr_maker.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/extension/tensor
2025-03-21T20:22:47.5735533Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/extension/threadpool
2025-03-21T20:22:47.5736454Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/threadpool/cpuinfo_utils.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/extension/threadpool
2025-03-21T20:22:47.5737653Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/threadpool/threadpool.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/extension/threadpool
2025-03-21T20:22:47.5738539Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/threadpool/threadpool_guard.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/extension/threadpool
2025-03-21T20:22:47.5738748Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/data
2025-03-21T20:22:47.5738963Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/data/bin
2025-03-21T20:22:47.5739485Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/data/bin/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/data/bin
2025-03-21T20:22:47.5739980Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/data/bin/flatc -> pip-out/bdist.linux-x86_64/wheel/./executorch/data/bin
2025-03-21T20:22:47.5740183Z   running install_egg_info
2025-03-21T20:22:47.5740809Z   Copying executorch.egg-info to pip-out/bdist.linux-x86_64/wheel/./executorch-0.6.0a0+be92d7d-py3.10.egg-info
2025-03-21T20:22:47.5740947Z   running install_scripts
2025-03-21T20:22:47.5741330Z   creating pip-out/bdist.linux-x86_64/wheel/executorch-0.6.0a0+be92d7d.dist-info/WHEEL
2025-03-21T20:22:47.5741979Z   creating '/tmp/pip-wheel-4ocf4efn/.tmp-041ib0oz/executorch-0.6.0a0+be92d7d-cp310-cp310-linux_x86_64.whl' and adding 'pip-out/bdist.linux-x86_64/wheel' to it
2025-03-21T20:22:47.5742110Z   adding 'executorch/version.py'
2025-03-21T20:22:47.5742337Z   adding 'executorch/backends/apple/coreml/executorchcoreml.pyi'
2025-03-21T20:22:47.5742571Z   adding 'executorch/backends/apple/coreml/compiler/__init__.py'
2025-03-21T20:22:47.5742839Z   adding 'executorch/backends/apple/coreml/compiler/coreml_preprocess.py'
2025-03-21T20:22:47.5743078Z   adding 'executorch/backends/apple/coreml/partition/__init__.py'
2025-03-21T20:22:47.5743356Z   adding 'executorch/backends/apple/coreml/partition/coreml_partitioner.py'
2025-03-21T20:22:47.5743627Z   adding 'executorch/backends/apple/coreml/quantizer/__init__.py'
2025-03-21T20:22:47.5743958Z   adding 'executorch/backends/apple/coreml/quantizer/coreml_quantizer.py'
2025-03-21T20:22:47.5744360Z   adding 'executorch/backends/apple/coreml/runtime/inmemoryfs/setup.py'
2025-03-21T20:22:47.5744706Z   adding 'executorch/backends/apple/coreml/runtime/test/export_stateful_model.py'
2025-03-21T20:22:47.5745016Z   adding 'executorch/backends/apple/coreml/test/test_coreml_partitioner.py'
2025-03-21T20:22:47.5745286Z   adding 'executorch/backends/apple/coreml/test/test_coreml_quantizer.py'
2025-03-21T20:22:47.5745457Z   adding 'executorch/backends/apple/mps/__init__.py'
2025-03-21T20:22:47.5745663Z   adding 'executorch/backends/apple/mps/mps_preprocess.py'
2025-03-21T20:22:47.5745868Z   adding 'executorch/backends/apple/mps/operators/__init__.py'
2025-03-21T20:22:47.5746107Z   adding 'executorch/backends/apple/mps/operators/activation_ops.py'
2025-03-21T20:22:47.5746435Z   adding 'executorch/backends/apple/mps/operators/binary_ops.py'
2025-03-21T20:22:47.5746649Z   adding 'executorch/backends/apple/mps/operators/clamp_ops.py'
2025-03-21T20:22:47.5746958Z   adding 'executorch/backends/apple/mps/operators/constant_ops.py'
2025-03-21T20:22:47.5747329Z   adding 'executorch/backends/apple/mps/operators/convolution_ops.py'
2025-03-21T20:22:47.5747615Z   adding 'executorch/backends/apple/mps/operators/indexing_ops.py'
2025-03-21T20:22:47.5747930Z   adding 'executorch/backends/apple/mps/operators/linear_algebra_ops.py'
2025-03-21T20:22:47.5748176Z   adding 'executorch/backends/apple/mps/operators/node_visitor.py'
2025-03-21T20:22:47.5748506Z   adding 'executorch/backends/apple/mps/operators/normalization_ops.py'
2025-03-21T20:22:47.5748713Z   adding 'executorch/backends/apple/mps/operators/op_clone.py'
2025-03-21T20:22:47.5748942Z   adding 'executorch/backends/apple/mps/operators/op_getitem.py'
2025-03-21T20:22:47.5749184Z   adding 'executorch/backends/apple/mps/operators/op_quant_dequant.py'
2025-03-21T20:22:47.5749426Z   adding 'executorch/backends/apple/mps/operators/op_skip_ops.py'
2025-03-21T20:22:47.5749627Z   adding 'executorch/backends/apple/mps/operators/pad_ops.py'
2025-03-21T20:22:47.5749861Z   adding 'executorch/backends/apple/mps/operators/pooling_ops.py'
2025-03-21T20:22:47.5750070Z   adding 'executorch/backends/apple/mps/operators/range_ops.py'
2025-03-21T20:22:47.5750320Z   adding 'executorch/backends/apple/mps/operators/reduce_ops.py'
2025-03-21T20:22:47.5750583Z   adding 'executorch/backends/apple/mps/operators/shape_ops.py'
2025-03-21T20:22:47.5750943Z   adding 'executorch/backends/apple/mps/operators/unary_ops.py'
2025-03-21T20:22:47.5751180Z   adding 'executorch/backends/apple/mps/partition/__init__.py'
2025-03-21T20:22:47.5751490Z   adding 'executorch/backends/apple/mps/partition/mps_partitioner.py'
2025-03-21T20:22:47.5751777Z   adding 'executorch/backends/apple/mps/serialization/mps_graph_schema.py'
2025-03-21T20:22:47.5752059Z   adding 'executorch/backends/apple/mps/serialization/mps_graph_serialize.py'
2025-03-21T20:22:47.5752285Z   adding 'executorch/backends/apple/mps/serialization/schema.fbs'
2025-03-21T20:22:47.5752480Z   adding 'executorch/backends/apple/mps/test/test_mps.py'
2025-03-21T20:22:47.5752713Z   adding 'executorch/backends/apple/mps/test/test_mps_binary_ops.py'
2025-03-21T20:22:47.5752965Z   adding 'executorch/backends/apple/mps/test/test_mps_indexing_ops.py'
2025-03-21T20:22:47.5753292Z   adding 'executorch/backends/apple/mps/test/test_mps_linear.py'
2025-03-21T20:22:47.5753580Z   adding 'executorch/backends/apple/mps/test/test_mps_models.py'
2025-03-21T20:22:47.5753948Z   adding 'executorch/backends/apple/mps/test/test_mps_unary_ops.py'
2025-03-21T20:22:47.5754204Z   adding 'executorch/backends/apple/mps/test/test_mps_utils.py'
2025-03-21T20:22:47.5754412Z   adding 'executorch/backends/apple/mps/utils/mps_utils.py'
2025-03-21T20:22:47.5754679Z   adding 'executorch/backends/apple/mps/utils/quant_utils.py'
2025-03-21T20:22:47.5754850Z   adding 'executorch/backends/arm/arm_backend.py'
2025-03-21T20:22:47.5755001Z   adding 'executorch/backends/arm/arm_vela.py'
2025-03-21T20:22:47.5755164Z   adding 'executorch/backends/arm/ethosu_backend.py'
2025-03-21T20:22:47.5755358Z   adding 'executorch/backends/arm/ethosu_partitioner.py'
2025-03-21T20:22:47.5755513Z   adding 'executorch/backends/arm/process_node.py'
2025-03-21T20:22:47.5755679Z   adding 'executorch/backends/arm/tosa_backend.py'
2025-03-21T20:22:47.5755834Z   adding 'executorch/backends/arm/tosa_mapping.py'
2025-03-21T20:22:47.5756016Z   adding 'executorch/backends/arm/tosa_partitioner.py'
2025-03-21T20:22:47.5756184Z   adding 'executorch/backends/arm/tosa_quant_utils.py'
2025-03-21T20:22:47.5756368Z   adding 'executorch/backends/arm/tosa_specification.py'
2025-03-21T20:22:47.5756529Z   adding 'executorch/backends/arm/tosa_utils.py'
2025-03-21T20:22:47.5756719Z   adding 'executorch/backends/arm/_passes/_debug_passes.py'
2025-03-21T20:22:47.5757078Z   adding 'executorch/backends/arm/_passes/annotate_channels_last_dim_order_pass.py'
2025-03-21T20:22:47.5757665Z   adding 'executorch/backends/arm/_passes/annotate_decomposed_matmul.py'
2025-03-21T20:22:47.5757885Z   adding 'executorch/backends/arm/_passes/arm_pass_manager.py'
2025-03-21T20:22:47.5758152Z   adding 'executorch/backends/arm/_passes/arm_pass_utils.py'
2025-03-21T20:22:47.5758351Z   adding 'executorch/backends/arm/_passes/cast_int64_pass.py'
2025-03-21T20:22:47.5758593Z   adding 'executorch/backends/arm/_passes/conv1d_unsqueeze_pass.py'
2025-03-21T20:22:47.5758867Z   adding 'executorch/backends/arm/_passes/convert_any_default_dim_dims_pass.py'
2025-03-21T20:22:47.5759217Z   adding 'executorch/backends/arm/_passes/convert_expand_copy_to_repeat.py'
2025-03-21T20:22:47.5759482Z   adding 'executorch/backends/arm/_passes/convert_full_like_to_full_pass.py'
2025-03-21T20:22:47.5759713Z   adding 'executorch/backends/arm/_passes/convert_minmax_pass.py'
2025-03-21T20:22:47.5759943Z   adding 'executorch/backends/arm/_passes/convert_split_to_slice.py'
2025-03-21T20:22:47.5760187Z   adding 'executorch/backends/arm/_passes/convert_squeezes_to_view.py'
2025-03-21T20:22:47.5760400Z   adding 'executorch/backends/arm/_passes/convert_to_clamp.py'
2025-03-21T20:22:47.5760642Z   adding 'executorch/backends/arm/_passes/decompose_batchnorm_pass.py'
2025-03-21T20:22:47.5760874Z   adding 'executorch/backends/arm/_passes/decompose_div_pass.py'
2025-03-21T20:22:47.5761179Z   adding 'executorch/backends/arm/_passes/decompose_layernorm_pass.py'
2025-03-21T20:22:47.5761568Z   adding 'executorch/backends/arm/_passes/decompose_linear_pass.py'
2025-03-21T20:22:47.5761803Z   adding 'executorch/backends/arm/_passes/decompose_meandim_pass.py'
2025-03-21T20:22:47.5762057Z   adding 'executorch/backends/arm/_passes/decompose_select.py'
2025-03-21T20:22:47.5762315Z   adding 'executorch/backends/arm/_passes/decompose_softmax_pass.py'
2025-03-21T20:22:47.5762584Z   adding 'executorch/backends/arm/_passes/decompose_softmax_unstable_pass.py'
2025-03-21T20:22:47.5762806Z   adding 'executorch/backends/arm/_passes/decompose_var_pass.py'
2025-03-21T20:22:47.5763099Z   adding 'executorch/backends/arm/_passes/fold_qdq_with_annotated_qparams_pass.py'
2025-03-21T20:22:47.5763341Z   adding 'executorch/backends/arm/_passes/fuse_batchnorm2d_pass.py'
2025-03-21T20:22:47.5763571Z   adding 'executorch/backends/arm/_passes/fuse_constant_ops_pass.py'
2025-03-21T20:22:47.6108667Z   adding 'executorch/backends/arm/_passes/fuse_quantized_activation_pass.py'
2025-03-21T20:22:47.6109035Z   adding 'executorch/backends/arm/_passes/insert_rescales_pass.py'
2025-03-21T20:22:47.6109275Z   adding 'executorch/backends/arm/_passes/insert_table_ops.py'
2025-03-21T20:22:47.6109589Z   adding 'executorch/backends/arm/_passes/keep_dims_false_to_squeeze_pass.py'
2025-03-21T20:22:47.6109815Z   adding 'executorch/backends/arm/_passes/match_arg_ranks_pass.py'
2025-03-21T20:22:47.6110088Z   adding 'executorch/backends/arm/_passes/meandim_to_averagepool_pass.py'
2025-03-21T20:22:47.6110283Z   adding 'executorch/backends/arm/_passes/mm_to_bmm_pass.py'
2025-03-21T20:22:47.6110535Z   adding 'executorch/backends/arm/_passes/remove_clone_pass.py'
2025-03-21T20:22:47.6110851Z   adding 'executorch/backends/arm/_passes/scalars_to_attribute_pass.py'
2025-03-21T20:22:47.6111149Z   adding 'executorch/backends/arm/_passes/size_adjust_conv2d_pass.py'
2025-03-21T20:22:47.6111460Z   adding 'executorch/backends/arm/_passes/unsqueeze_before_repeat_pass.py'
2025-03-21T20:22:47.6111746Z   adding 'executorch/backends/arm/_passes/unsqueeze_scalar_placeholders_pass.py'
2025-03-21T20:22:47.6111978Z   adding 'executorch/backends/arm/operator_support/__init__.py'
2025-03-21T20:22:47.6112252Z   adding 'executorch/backends/arm/operator_support/convolution_support.py'
2025-03-21T20:22:47.6112510Z   adding 'executorch/backends/arm/operator_support/minmax_support.py'
2025-03-21T20:22:47.6112755Z   adding 'executorch/backends/arm/operator_support/pool_2d_support.py'
2025-03-21T20:22:47.6113153Z   adding 'executorch/backends/arm/operator_support/reduce_sum_support.py'
2025-03-21T20:22:47.6113652Z   adding 'executorch/backends/arm/operator_support/right_shift_support.py'
2025-03-21T20:22:47.6113957Z   adding 'executorch/backends/arm/operator_support/slice_copy_support.py'
2025-03-21T20:22:47.6114222Z   adding 'executorch/backends/arm/operator_support/to_copy_support.py'
2025-03-21T20:22:47.6114679Z   adding 'executorch/backends/arm/operator_support/tosa_supported_operators.py'
2025-03-21T20:22:47.6114929Z   adding 'executorch/backends/arm/operators/__init__.py'
2025-03-21T20:22:47.6115132Z   adding 'executorch/backends/arm/operators/node_visitor.py'
2025-03-21T20:22:47.6115322Z   adding 'executorch/backends/arm/operators/op_abs.py'
2025-03-21T20:22:47.6115615Z   adding 'executorch/backends/arm/operators/op_add.py'
2025-03-21T20:22:47.6115812Z   adding 'executorch/backends/arm/operators/op_amax.py'
2025-03-21T20:22:47.6116087Z   adding 'executorch/backends/arm/operators/op_amin.py'
2025-03-21T20:22:47.6116256Z   adding 'executorch/backends/arm/operators/op_any.py'
2025-03-21T20:22:47.6116484Z   adding 'executorch/backends/arm/operators/op_avg_pool2d.py'
2025-03-21T20:22:47.6116662Z   adding 'executorch/backends/arm/operators/op_bmm.py'
2025-03-21T20:22:47.6116908Z   adding 'executorch/backends/arm/operators/op_cat.py'
2025-03-21T20:22:47.6117149Z   adding 'executorch/backends/arm/operators/op_clamp.py'
2025-03-21T20:22:47.6117529Z   adding 'executorch/backends/arm/operators/op_constant_pad_nd.py'
2025-03-21T20:22:47.6117820Z   adding 'executorch/backends/arm/operators/op_conv2d.py'
2025-03-21T20:22:47.6118127Z   adding 'executorch/backends/arm/operators/op_eq.py'
2025-03-21T20:22:47.6118301Z   adding 'executorch/backends/arm/operators/op_exp.py'
2025-03-21T20:22:47.6118483Z   adding 'executorch/backends/arm/operators/op_full.py'
2025-03-21T20:22:47.6118663Z   adding 'executorch/backends/arm/operators/op_ge.py'
2025-03-21T20:22:47.6118939Z   adding 'executorch/backends/arm/operators/op_get_item.py'
2025-03-21T20:22:47.6119125Z   adding 'executorch/backends/arm/operators/op_gt.py'
2025-03-21T20:22:47.6119300Z   adding 'executorch/backends/arm/operators/op_le.py'
2025-03-21T20:22:47.6119469Z   adding 'executorch/backends/arm/operators/op_log.py'
2025-03-21T20:22:47.6119730Z   adding 'executorch/backends/arm/operators/op_lt.py'
2025-03-21T20:22:47.6119931Z   adding 'executorch/backends/arm/operators/op_max_pool2d.py'
2025-03-21T20:22:47.6120137Z   adding 'executorch/backends/arm/operators/op_maximum.py'
2025-03-21T20:22:47.6120412Z   adding 'executorch/backends/arm/operators/op_minimum.py'
2025-03-21T20:22:47.6120609Z   adding 'executorch/backends/arm/operators/op_mul.py'
2025-03-21T20:22:47.6120799Z   adding 'executorch/backends/arm/operators/op_permute.py'
2025-03-21T20:22:47.6121005Z   adding 'executorch/backends/arm/operators/op_reciprocal.py'
2025-03-21T20:22:47.6121281Z   adding 'executorch/backends/arm/operators/op_repeat.py'
2025-03-21T20:22:47.6121469Z   adding 'executorch/backends/arm/operators/op_rescale.py'
2025-03-21T20:22:47.6121663Z   adding 'executorch/backends/arm/operators/op_rshift.py'
2025-03-21T20:22:47.6121851Z   adding 'executorch/backends/arm/operators/op_rsqrt.py'
2025-03-21T20:22:47.6122128Z   adding 'executorch/backends/arm/operators/op_sigmoid.py'
2025-03-21T20:22:47.6122309Z   adding 'executorch/backends/arm/operators/op_slice.py'
2025-03-21T20:22:47.6122479Z   adding 'executorch/backends/arm/operators/op_sub.py'
2025-03-21T20:22:47.6122683Z   adding 'executorch/backends/arm/operators/op_sum.py'
2025-03-21T20:22:47.6122915Z   adding 'executorch/backends/arm/operators/op_table.py'
2025-03-21T20:22:47.6123134Z   adding 'executorch/backends/arm/operators/op_tanh.py'
2025-03-21T20:22:47.6123328Z   adding 'executorch/backends/arm/operators/op_to_copy.py'
2025-03-21T20:22:47.6123665Z   adding 'executorch/backends/arm/operators/op_to_dim_order_copy.py'
2025-03-21T20:22:47.6123865Z   adding 'executorch/backends/arm/operators/op_transpose.py'
2025-03-21T20:22:47.6124166Z   adding 'executorch/backends/arm/operators/op_upsample_nearest2d.py'
2025-03-21T20:22:47.6124440Z   adding 'executorch/backends/arm/operators/op_view.py'
2025-03-21T20:22:47.6124739Z   adding 'executorch/backends/arm/operators/ops_binary.py'
2025-03-21T20:22:47.6124938Z   adding 'executorch/backends/arm/operators/ops_unary.py'
2025-03-21T20:22:47.6125202Z   adding 'executorch/backends/arm/quantizer/__init__.py'
2025-03-21T20:22:47.6125454Z   adding 'executorch/backends/arm/quantizer/arm_quantizer.py'
2025-03-21T20:22:47.6125738Z   adding 'executorch/backends/arm/quantizer/arm_quantizer_utils.py'
2025-03-21T20:22:47.6126156Z   adding 'executorch/backends/arm/quantizer/quantization_annotator.py'
2025-03-21T20:22:47.6126480Z   adding 'executorch/backends/arm/quantizer/quantization_config.py'
2025-03-21T20:22:47.6126644Z   adding 'executorch/backends/arm/test/common.py'
2025-03-21T20:22:47.6126863Z   adding 'executorch/backends/arm/test/conftest.py'
2025-03-21T20:22:47.6127042Z   adding 'executorch/backends/arm/test/runner_utils.py'
2025-03-21T20:22:47.6127219Z   adding 'executorch/backends/arm/test/test_model.py'
2025-03-21T20:22:47.6127536Z   adding 'executorch/backends/arm/test/misc/test_custom_partition.py'
2025-03-21T20:22:47.6127752Z   adding 'executorch/backends/arm/test/misc/test_debug_feats.py'
2025-03-21T20:22:47.6128041Z   adding 'executorch/backends/arm/test/misc/test_dim_order_guards.py'
2025-03-21T20:22:47.6128391Z   adding 'executorch/backends/arm/test/misc/test_lifted_tensor.py'
2025-03-21T20:22:47.6128682Z   adding 'executorch/backends/arm/test/misc/test_model_evaluator.py'
2025-03-21T20:22:47.6128933Z   adding 'executorch/backends/arm/test/misc/test_multiple_delegates.py'
2025-03-21T20:22:47.6129184Z   adding 'executorch/backends/arm/test/misc/test_multiple_outputs.py'
2025-03-21T20:22:47.6129512Z   adding 'executorch/backends/arm/test/misc/test_partition_decomposed_quantized_ops.py'
2025-03-21T20:22:47.6129719Z   adding 'executorch/backends/arm/test/misc/test_tosa_spec.py'
2025-03-21T20:22:47.6129999Z   adding 'executorch/backends/arm/test/models/test_conformer.py'
2025-03-21T20:22:47.6130204Z   adding 'executorch/backends/arm/test/models/test_dl3_arm.py'
2025-03-21T20:22:47.6130418Z   adding 'executorch/backends/arm/test/models/test_llama.py'
2025-03-21T20:22:47.6130705Z   adding 'executorch/backends/arm/test/models/test_lstm_arm.py'
2025-03-21T20:22:47.6130966Z   adding 'executorch/backends/arm/test/models/test_mobilenet_v2_arm.py'
2025-03-21T20:22:47.6131245Z   adding 'executorch/backends/arm/test/models/test_nn_functional.py'
2025-03-21T20:22:47.6131553Z   adding 'executorch/backends/arm/test/models/test_nn_modules.py'
2025-03-21T20:22:47.6131867Z   adding 'executorch/backends/arm/test/models/test_torch_functions.py'
2025-03-21T20:22:47.6132164Z   adding 'executorch/backends/arm/test/models/test_w2l_arm.py'
2025-03-21T20:22:47.6132382Z   adding 'executorch/backends/arm/test/ops/test_abs.py'
2025-03-21T20:22:47.6132557Z   adding 'executorch/backends/arm/test/ops/test_add.py'
2025-03-21T20:22:47.6132748Z   adding 'executorch/backends/arm/test/ops/test_amax.py'
2025-03-21T20:22:47.6132977Z   adding 'executorch/backends/arm/test/ops/test_amin.py'
2025-03-21T20:22:47.6133172Z   adding 'executorch/backends/arm/test/ops/test_any.py'
2025-03-21T20:22:47.6133387Z   adding 'executorch/backends/arm/test/ops/test_avg_pool2d.py'
2025-03-21T20:22:47.6133587Z   adding 'executorch/backends/arm/test/ops/test_batch_norm.py'
2025-03-21T20:22:47.6133877Z   adding 'executorch/backends/arm/test/ops/test_bitwise.py'
2025-03-21T20:22:47.6134084Z   adding 'executorch/backends/arm/test/ops/test_bmm.py'
2025-03-21T20:22:47.6134298Z   adding 'executorch/backends/arm/test/ops/test_cat.py'
2025-03-21T20:22:47.6134622Z   adding 'executorch/backends/arm/test/ops/test_clamp.py'
2025-03-21T20:22:47.6134816Z   adding 'executorch/backends/arm/test/ops/test_clone.py'
2025-03-21T20:22:47.6135061Z   adding 'executorch/backends/arm/test/ops/test_constant_pad_nd.py'
2025-03-21T20:22:47.6135246Z   adding 'executorch/backends/arm/test/ops/test_conv1d.py'
2025-03-21T20:22:47.6135497Z   adding 'executorch/backends/arm/test/ops/test_conv2d.py'
2025-03-21T20:22:47.6135838Z   adding 'executorch/backends/arm/test/ops/test_conv_combos.py'
2025-03-21T20:22:47.6136088Z   adding 'executorch/backends/arm/test/ops/test_depthwise_conv.py'
2025-03-21T20:22:47.6136328Z   adding 'executorch/backends/arm/test/ops/test_div.py'
2025-03-21T20:22:47.6136500Z   adding 'executorch/backends/arm/test/ops/test_eq.py'
2025-03-21T20:22:47.6136686Z   adding 'executorch/backends/arm/test/ops/test_exp.py'
2025-03-21T20:22:47.6136947Z   adding 'executorch/backends/arm/test/ops/test_expand.py'
2025-03-21T20:22:47.6137164Z   adding 'executorch/backends/arm/test/ops/test_floor.py'
2025-03-21T20:22:47.6137436Z   adding 'executorch/backends/arm/test/ops/test_full.py'
2025-03-21T20:22:47.6137652Z   adding 'executorch/backends/arm/test/ops/test_ge.py'
2025-03-21T20:22:47.6137882Z   adding 'executorch/backends/arm/test/ops/test_gt.py'
2025-03-21T20:22:47.6138093Z   adding 'executorch/backends/arm/test/ops/test_hardsigmoid.py'
2025-03-21T20:22:47.6138305Z   adding 'executorch/backends/arm/test/ops/test_hardswish.py'
2025-03-21T20:22:47.6138520Z   adding 'executorch/backends/arm/test/ops/test_hardtanh.py'
2025-03-21T20:22:47.6138767Z   adding 'executorch/backends/arm/test/ops/test_layer_norm.py'
2025-03-21T20:22:47.6138936Z   adding 'executorch/backends/arm/test/ops/test_le.py'
2025-03-21T20:22:47.6139120Z   adding 'executorch/backends/arm/test/ops/test_linear.py'
2025-03-21T20:22:47.6139365Z   adding 'executorch/backends/arm/test/ops/test_log.py'
2025-03-21T20:22:47.6139555Z   adding 'executorch/backends/arm/test/ops/test_logical.py'
2025-03-21T20:22:47.6139803Z   adding 'executorch/backends/arm/test/ops/test_logsoftmax.py'
2025-03-21T20:22:47.6139976Z   adding 'executorch/backends/arm/test/ops/test_lt.py'
2025-03-21T20:22:47.6140312Z   adding 'executorch/backends/arm/test/ops/test_max_pool.py'
2025-03-21T20:22:47.6140567Z   adding 'executorch/backends/arm/test/ops/test_maximum.py'
2025-03-21T20:22:47.6140763Z   adding 'executorch/backends/arm/test/ops/test_mean_dim.py'
2025-03-21T20:22:47.6140970Z   adding 'executorch/backends/arm/test/ops/test_minimum.py'
2025-03-21T20:22:47.6523466Z   adding 'executorch/backends/arm/test/ops/test_mm.py'
2025-03-21T20:22:47.6523691Z   adding 'executorch/backends/arm/test/ops/test_mul.py'
2025-03-21T20:22:47.6523893Z   adding 'executorch/backends/arm/test/ops/test_permute.py'
2025-03-21T20:22:47.6524157Z   adding 'executorch/backends/arm/test/ops/test_reciprocal.py'
2025-03-21T20:22:47.6524422Z   adding 'executorch/backends/arm/test/ops/test_relu.py'
2025-03-21T20:22:47.6524729Z   adding 'executorch/backends/arm/test/ops/test_repeat.py'
2025-03-21T20:22:47.6525019Z   adding 'executorch/backends/arm/test/ops/test_rshift.py'
2025-03-21T20:22:47.6525334Z   adding 'executorch/backends/arm/test/ops/test_rsqrt.py'
2025-03-21T20:22:47.6525656Z   adding 'executorch/backends/arm/test/ops/test_scalars.py'
2025-03-21T20:22:47.6525981Z   adding 'executorch/backends/arm/test/ops/test_select.py'
2025-03-21T20:22:47.6526322Z   adding 'executorch/backends/arm/test/ops/test_sigmoid.py'
2025-03-21T20:22:47.6526704Z   adding 'executorch/backends/arm/test/ops/test_sigmoid_16bit.py'
2025-03-21T20:22:47.6527029Z   adding 'executorch/backends/arm/test/ops/test_sigmoid_32bit.py'
2025-03-21T20:22:47.6527247Z   adding 'executorch/backends/arm/test/ops/test_slice.py'
2025-03-21T20:22:47.6527501Z   adding 'executorch/backends/arm/test/ops/test_softmax.py'
2025-03-21T20:22:47.6527700Z   adding 'executorch/backends/arm/test/ops/test_split.py'
2025-03-21T20:22:47.6527889Z   adding 'executorch/backends/arm/test/ops/test_squeeze.py'
2025-03-21T20:22:47.6528125Z   adding 'executorch/backends/arm/test/ops/test_sub.py'
2025-03-21T20:22:47.6528325Z   adding 'executorch/backends/arm/test/ops/test_sum.py'
2025-03-21T20:22:47.6528507Z   adding 'executorch/backends/arm/test/ops/test_tanh.py'
2025-03-21T20:22:47.6528711Z   adding 'executorch/backends/arm/test/ops/test_to_copy.py'
2025-03-21T20:22:47.6528913Z   adding 'executorch/backends/arm/test/ops/test_unsqueeze.py'
2025-03-21T20:22:47.6529219Z   adding 'executorch/backends/arm/test/ops/test_upsample_nearest2d.py'
2025-03-21T20:22:47.6529676Z   adding 'executorch/backends/arm/test/ops/test_var.py'
2025-03-21T20:22:47.6529871Z   adding 'executorch/backends/arm/test/ops/test_view.py'
2025-03-21T20:22:47.6530118Z   adding 'executorch/backends/arm/test/passes/test_cast_int64_pass.py'
2025-03-21T20:22:47.6530377Z   adding 'executorch/backends/arm/test/passes/test_convert_to_clamp.py'
2025-03-21T20:22:47.6530609Z   adding 'executorch/backends/arm/test/passes/test_fold_qdq_pass.py'
2025-03-21T20:22:47.6530883Z   adding 'executorch/backends/arm/test/passes/test_fuse_batchnorm_pass.py'
2025-03-21T20:22:47.6531263Z   adding 'executorch/backends/arm/test/passes/test_fuse_constant_ops_pass.py'
2025-03-21T20:22:47.6531537Z   adding 'executorch/backends/arm/test/passes/test_insert_table_ops_pass.py'
2025-03-21T20:22:47.6531814Z   adding 'executorch/backends/arm/test/passes/test_ioquantization_pass.py'
2025-03-21T20:22:47.6532103Z   adding 'executorch/backends/arm/test/passes/test_meandim_to_averagepool2d.py'
2025-03-21T20:22:47.6532349Z   adding 'executorch/backends/arm/test/passes/test_rescale_pass.py'
2025-03-21T20:22:47.6532655Z   adding 'executorch/backends/arm/test/passes/test_unsqueeze_before_repeat_pass.py'
2025-03-21T20:22:47.6532942Z   adding 'executorch/backends/arm/test/quantizer/test_generic_annotater.py'
2025-03-21T20:22:47.6533129Z   adding 'executorch/backends/arm/test/tester/__init__.py'
2025-03-21T20:22:47.6533386Z   adding 'executorch/backends/arm/test/tester/analyze_output_utils.py'
2025-03-21T20:22:47.6533582Z   adding 'executorch/backends/arm/test/tester/arm_tester.py'
2025-03-21T20:22:47.6533796Z   adding 'executorch/backends/arm/test/tester/test_pipeline.py'
2025-03-21T20:22:47.6534000Z   adding 'executorch/backends/arm/test/tosautil/__init__.py'
2025-03-21T20:22:47.6534264Z   adding 'executorch/backends/arm/third-party/serialization_lib/setup.py'
2025-03-21T20:22:47.6534632Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/serializer/__init__.py'
2025-03-21T20:22:47.6535034Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/serializer/tosa_serializer.py'
2025-03-21T20:22:47.6535496Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ArithmeticRightShiftAttribute.py'
2025-03-21T20:22:47.6535986Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/Attribute.py'
2025-03-21T20:22:47.6536554Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/AxisAttribute.py'
2025-03-21T20:22:47.6537170Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ClampAttribute.py'
2025-03-21T20:22:47.6537852Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/CondIfAttribute.py'
2025-03-21T20:22:47.6538482Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ConvAttribute.py'
2025-03-21T20:22:47.6538940Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/CustomAttribute.py'
2025-03-21T20:22:47.6539281Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/DType.py'
2025-03-21T20:22:47.6539714Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/FFTAttribute.py'
2025-03-21T20:22:47.6540142Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/FullyConnectedAttribute.py'
2025-03-21T20:22:47.6540504Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/MatMulAttribute.py'
2025-03-21T20:22:47.6540850Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/MulAttribute.py'
2025-03-21T20:22:47.6541235Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/NegateAttribute.py'
2025-03-21T20:22:47.6541537Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/Op.py'
2025-03-21T20:22:47.6541898Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/PadAttribute.py'
2025-03-21T20:22:47.6542407Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/PoolAttribute.py'
2025-03-21T20:22:47.6543041Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/RFFTAttribute.py'
2025-03-21T20:22:47.6543413Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/RescaleAttribute.py'
2025-03-21T20:22:47.6543957Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ReshapeAttribute.py'
2025-03-21T20:22:47.6544465Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ResizeAttribute.py'
2025-03-21T20:22:47.6544898Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ResizeMode.py'
2025-03-21T20:22:47.6545273Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/SliceAttribute.py'
2025-03-21T20:22:47.6545630Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TableAttribute.py'
2025-03-21T20:22:47.6545999Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TileAttribute.py'
2025-03-21T20:22:47.6546359Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaBasicBlock.py'
2025-03-21T20:22:47.6546703Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaGraph.py'
2025-03-21T20:22:47.6547050Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaOperator.py'
2025-03-21T20:22:47.6547385Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaRegion.py'
2025-03-21T20:22:47.6547778Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaTensor.py'
2025-03-21T20:22:47.6548222Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TransposeAttribute.py'
2025-03-21T20:22:47.6548693Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TransposeConvAttribute.py'
2025-03-21T20:22:47.6549015Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/Version.py'
2025-03-21T20:22:47.6549414Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/WhileLoopAttribute.py'
2025-03-21T20:22:47.6549733Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/__init__.py'
2025-03-21T20:22:47.6550036Z   adding 'executorch/backends/arm/third-party/serialization_lib/schema/tosa.fbs'
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2025-03-21T20:22:47.6550955Z   adding 'executorch/backends/arm/util/arm_model_evaluator.py'
2025-03-21T20:22:47.6551128Z   adding 'executorch/backends/cadence/aot/__init__.py'
2025-03-21T20:22:47.6551316Z   adding 'executorch/backends/cadence/aot/compiler.py'
2025-03-21T20:22:47.6551512Z   adding 'executorch/backends/cadence/aot/compiler_utils.py'
2025-03-21T20:22:47.6551748Z   adding 'executorch/backends/cadence/aot/export_example.py'
2025-03-21T20:22:47.6551953Z   adding 'executorch/backends/cadence/aot/functions.yaml'
2025-03-21T20:22:47.6552320Z   adding 'executorch/backends/cadence/aot/functions_fusion_g3.yaml'
2025-03-21T20:22:47.6552540Z   adding 'executorch/backends/cadence/aot/functions_hifi.yaml'
2025-03-21T20:22:47.6552711Z   adding 'executorch/backends/cadence/aot/fuse_ops.py'
2025-03-21T20:22:47.6552913Z   adding 'executorch/backends/cadence/aot/graph_builder.py'
2025-03-21T20:22:47.6553253Z   adding 'executorch/backends/cadence/aot/memory_constraints.py'
2025-03-21T20:22:47.6553465Z   adding 'executorch/backends/cadence/aot/memory_planning.py'
2025-03-21T20:22:47.6553682Z   adding 'executorch/backends/cadence/aot/ops_registrations.py'
2025-03-21T20:22:47.6553862Z   adding 'executorch/backends/cadence/aot/pass_utils.py'
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2025-03-21T20:22:47.6554260Z   adding 'executorch/backends/cadence/aot/ref_implementations.py'
2025-03-21T20:22:47.6554544Z   adding 'executorch/backends/cadence/aot/remove_ops.py'
2025-03-21T20:22:47.6554726Z   adding 'executorch/backends/cadence/aot/reorder_ops.py'
2025-03-21T20:22:47.6554972Z   adding 'executorch/backends/cadence/aot/replace_ops.py'
2025-03-21T20:22:47.6555162Z   adding 'executorch/backends/cadence/aot/simplify_ops.py'
2025-03-21T20:22:47.6555352Z   adding 'executorch/backends/cadence/aot/utils.py'
2025-03-21T20:22:47.6555655Z   adding 'executorch/backends/cadence/aot/quantizer/fusion_pass.py'
2025-03-21T20:22:47.6555874Z   adding 'executorch/backends/cadence/aot/quantizer/patterns.py'
2025-03-21T20:22:47.6556204Z   adding 'executorch/backends/cadence/aot/quantizer/quantizer.py'
2025-03-21T20:22:47.6556406Z   adding 'executorch/backends/cadence/aot/quantizer/utils.py'
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2025-03-21T20:22:47.6556927Z   adding 'executorch/backends/cadence/aot/tests/test_graph_builder.py'
2025-03-21T20:22:47.6557168Z   adding 'executorch/backends/cadence/aot/tests/test_memory_passes.py'
2025-03-21T20:22:47.6557422Z   adding 'executorch/backends/cadence/aot/tests/test_pass_filter.py'
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2025-03-21T20:22:47.6864685Z   adding 'executorch/backends/cadence/aot/tests/test_replace_ops_passes.py'
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2025-03-21T20:22:47.6865694Z   adding 'executorch/backends/cadence/runtime/executor.py'
2025-03-21T20:22:47.6865978Z   adding 'executorch/backends/cadence/runtime/runtime.py'
2025-03-21T20:22:47.6866256Z   adding 'executorch/backends/cadence/runtime/utils.py'
2025-03-21T20:22:47.6866545Z   adding 'executorch/backends/cadence/utils/facto_util.py'
2025-03-21T20:22:47.6866772Z   adding 'executorch/backends/cadence/utils/gen_header.py'
2025-03-21T20:22:47.6867005Z   adding 'executorch/backends/cadence/utils/post_compilation.py'
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2025-03-21T20:22:47.6867877Z   adding 'executorch/backends/cadence/utils/FACTO/calibrator/runner.py'
2025-03-21T20:22:47.6868259Z   adding 'executorch/backends/cadence/utils/FACTO/examples/example.py'
2025-03-21T20:22:47.6868701Z   adding 'executorch/backends/cadence/utils/FACTO/examples/minimal_example.py'
2025-03-21T20:22:47.6869147Z   adding 'executorch/backends/cadence/utils/FACTO/examples/random_seed.py'
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2025-03-21T20:22:47.6870046Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/__init__.py'
2025-03-21T20:22:47.6870613Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple/__init__.py'
2025-03-21T20:22:47.6871181Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple/engine.py'
2025-03-21T20:22:47.6871744Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple/gen.py'
2025-03-21T20:22:47.6872354Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/__init__.py'
2025-03-21T20:22:47.6872943Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/engine.py'
2025-03-21T20:22:47.6873382Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/gen.py'
2025-03-21T20:22:47.6873879Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/type.py'
2025-03-21T20:22:47.6874236Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/__init__.py'
2025-03-21T20:22:47.6874761Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/engine.py'
2025-03-21T20:22:47.6875323Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/model.py'
2025-03-21T20:22:47.6876277Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/solve.py'
2025-03-21T20:22:47.6876786Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/specs/__init__.py'
2025-03-21T20:22:47.6877089Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/specs/model.py'
2025-03-21T20:22:47.6877537Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/utils/__init__.py'
2025-03-21T20:22:47.6877915Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/utils/random_manager.py'
2025-03-21T20:22:47.6878402Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/__init__.py'
2025-03-21T20:22:47.6878754Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/constants.py'
2025-03-21T20:22:47.6879053Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/gen.py'
2025-03-21T20:22:47.6879382Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/solve.py'
2025-03-21T20:22:47.6879693Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/space.py'
2025-03-21T20:22:47.6880062Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/type.py'
2025-03-21T20:22:47.6880473Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/utils.py'
2025-03-21T20:22:47.6880847Z   adding 'executorch/backends/cadence/utils/FACTO/facto/specdb/db.py'
2025-03-21T20:22:47.6881133Z   adding 'executorch/backends/cadence/utils/FACTO/facto/specdb/default.py'
2025-03-21T20:22:47.6881400Z   adding 'executorch/backends/cadence/utils/FACTO/facto/specdb/dtypes.py'
2025-03-21T20:22:47.6881682Z   adding 'executorch/backends/cadence/utils/FACTO/facto/specdb/function.py'
2025-03-21T20:22:47.6882016Z   adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_argtuple_engine.py'
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2025-03-21T20:22:47.6887799Z   adding 'executorch/backends/example/example_quantizer.py'
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2025-03-21T20:22:47.6890398Z   adding 'executorch/backends/example/example_operators/dropout.py'
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2025-03-21T20:22:47.6891122Z   adding 'executorch/backends/example/example_operators/linear.py'
2025-03-21T20:22:47.6891351Z   adding 'executorch/backends/example/example_operators/op_base.py'
2025-03-21T20:22:47.6891574Z   adding 'executorch/backends/example/example_operators/ops.py'
2025-03-21T20:22:47.6891800Z   adding 'executorch/backends/example/example_operators/utils.py'
2025-03-21T20:22:47.6891970Z   adding 'executorch/backends/mediatek/__init__.py'
2025-03-21T20:22:47.6892147Z   adding 'executorch/backends/mediatek/partitioner.py'
2025-03-21T20:22:47.6892372Z   adding 'executorch/backends/mediatek/preprocess.py'
2025-03-21T20:22:47.6892630Z   adding 'executorch/backends/mediatek/_passes/__init__.py'
2025-03-21T20:22:47.6893087Z   adding 'executorch/backends/mediatek/_passes/decompose_scaled_dot_product_attention.py'
2025-03-21T20:22:47.6893300Z   adding 'executorch/backends/mediatek/quantizer/__init__.py'
2025-03-21T20:22:47.6893552Z   adding 'executorch/backends/mediatek/quantizer/annotator.py'
2025-03-21T20:22:47.6893762Z   adding 'executorch/backends/mediatek/quantizer/qconfig.py'
2025-03-21T20:22:47.6893968Z   adding 'executorch/backends/mediatek/quantizer/quantizer.py'
2025-03-21T20:22:47.6894155Z   adding 'executorch/backends/qualcomm/qnn_preprocess.py'
2025-03-21T20:22:47.6894364Z   adding 'executorch/backends/qualcomm/_passes/__init__.py'
2025-03-21T20:22:47.6894644Z   adding 'executorch/backends/qualcomm/_passes/annotate_decomposed.py'
2025-03-21T20:22:47.6894986Z   adding 'executorch/backends/qualcomm/_passes/annotate_quant_attrs.py'
2025-03-21T20:22:47.6895325Z   adding 'executorch/backends/qualcomm/_passes/build_quant_io.py'
2025-03-21T20:22:47.6895579Z   adding 'executorch/backends/qualcomm/_passes/constant_i64_to_i32.py'
2025-03-21T20:22:47.6895865Z   adding 'executorch/backends/qualcomm/_passes/convert_bmm_to_matmul.py'
2025-03-21T20:22:47.6896180Z   adding 'executorch/backends/qualcomm/_passes/convert_interpolate_with_upsample2d.py'
2025-03-21T20:22:47.6896428Z   adding 'executorch/backends/qualcomm/_passes/convert_to_linear.py'
2025-03-21T20:22:47.6896642Z   adding 'executorch/backends/qualcomm/_passes/decompose_any.py'
2025-03-21T20:22:47.6896886Z   adding 'executorch/backends/qualcomm/_passes/decompose_einsum.py'
2025-03-21T20:22:47.6897171Z   adding 'executorch/backends/qualcomm/_passes/decompose_linalg_vector_norm.py'
2025-03-21T20:22:47.6897533Z   adding 'executorch/backends/qualcomm/_passes/decompose_silu.py'
2025-03-21T20:22:47.6897949Z   adding 'executorch/backends/qualcomm/_passes/expand_broadcast_tensor_shape.py'
2025-03-21T20:22:47.6898175Z   adding 'executorch/backends/qualcomm/_passes/fold_qdq.py'
2025-03-21T20:22:47.6898466Z   adding 'executorch/backends/qualcomm/_passes/fuse_consecutive_transpose.py'
2025-03-21T20:22:47.6898679Z   adding 'executorch/backends/qualcomm/_passes/insert_io_qdq.py'
2025-03-21T20:22:47.6898924Z   adding 'executorch/backends/qualcomm/_passes/insert_requantize.py'
2025-03-21T20:22:47.6899156Z   adding 'executorch/backends/qualcomm/_passes/layout_transform.py'
2025-03-21T20:22:47.6899454Z   adding 'executorch/backends/qualcomm/_passes/lift_constant_scalar_operands.py'
2025-03-21T20:22:47.6899722Z   adding 'executorch/backends/qualcomm/_passes/recompose_pixel_unshuffle.py'
2025-03-21T20:22:47.6899964Z   adding 'executorch/backends/qualcomm/_passes/recompose_prelu.py'
2025-03-21T20:22:47.6900327Z   adding 'executorch/backends/qualcomm/_passes/recompose_rms_norm.py'
2025-03-21T20:22:47.6900650Z   adding 'executorch/backends/qualcomm/_passes/reduce_dynamic_range.py'
2025-03-21T20:22:47.7286610Z   adding 'executorch/backends/qualcomm/_passes/remove_redundancy.py'
2025-03-21T20:22:47.7287006Z   adding 'executorch/backends/qualcomm/_passes/replace_index_put_input.py'
2025-03-21T20:22:47.7287270Z   adding 'executorch/backends/qualcomm/_passes/replace_inf_buffer.py'
2025-03-21T20:22:47.7287597Z   adding 'executorch/backends/qualcomm/_passes/tensor_i64_to_i32.py'
2025-03-21T20:22:47.7288112Z   adding 'executorch/backends/qualcomm/_passes/utils.py'
2025-03-21T20:22:47.7288402Z   adding 'executorch/backends/qualcomm/aot/ir/qcir.fbs'
2025-03-21T20:22:47.7288601Z   adding 'executorch/backends/qualcomm/builders/__init__.py'
2025-03-21T20:22:47.7288833Z   adding 'executorch/backends/qualcomm/builders/node_visitor.py'
2025-03-21T20:22:47.7289023Z   adding 'executorch/backends/qualcomm/builders/op_abs.py'
2025-03-21T20:22:47.7289321Z   adding 'executorch/backends/qualcomm/builders/op_adaptive_avg_pool2d.py'
2025-03-21T20:22:47.7289509Z   adding 'executorch/backends/qualcomm/builders/op_add.py'
2025-03-21T20:22:47.7289725Z   adding 'executorch/backends/qualcomm/builders/op_arange.py'
2025-03-21T20:22:47.7289923Z   adding 'executorch/backends/qualcomm/builders/op_argmin.py'
2025-03-21T20:22:47.7290165Z   adding 'executorch/backends/qualcomm/builders/op_avg_pool2d.py'
2025-03-21T20:22:47.7290477Z   adding 'executorch/backends/qualcomm/builders/op_batch_norm.py'
2025-03-21T20:22:47.7290732Z   adding 'executorch/backends/qualcomm/builders/op_bmm.py'
2025-03-21T20:22:47.7291032Z   adding 'executorch/backends/qualcomm/builders/op_cat.py'
2025-03-21T20:22:47.7291229Z   adding 'executorch/backends/qualcomm/builders/op_ceil.py'
2025-03-21T20:22:47.7291438Z   adding 'executorch/backends/qualcomm/builders/op_clamp.py'
2025-03-21T20:22:47.7291638Z   adding 'executorch/backends/qualcomm/builders/op_conv2d.py'
2025-03-21T20:22:47.7291845Z   adding 'executorch/backends/qualcomm/builders/op_cos.py'
2025-03-21T20:22:47.7292087Z   adding 'executorch/backends/qualcomm/builders/op_depth_to_space.py'
2025-03-21T20:22:47.7292324Z   adding 'executorch/backends/qualcomm/builders/op_dequantize.py'
2025-03-21T20:22:47.7292513Z   adding 'executorch/backends/qualcomm/builders/op_div.py'
2025-03-21T20:22:47.7292728Z   adding 'executorch/backends/qualcomm/builders/op_embedding.py'
2025-03-21T20:22:47.7292987Z   adding 'executorch/backends/qualcomm/builders/op_eq.py'
2025-03-21T20:22:47.7293230Z   adding 'executorch/backends/qualcomm/builders/op_expand.py'
2025-03-21T20:22:47.7293444Z   adding 'executorch/backends/qualcomm/builders/op_full.py'
2025-03-21T20:22:47.7293781Z   adding 'executorch/backends/qualcomm/builders/op_full_like.py'
2025-03-21T20:22:47.7293983Z   adding 'executorch/backends/qualcomm/builders/op_ge.py'
2025-03-21T20:22:47.7294175Z   adding 'executorch/backends/qualcomm/builders/op_gelu.py'
2025-03-21T20:22:47.7294402Z   adding 'executorch/backends/qualcomm/builders/op_group_norm.py'
2025-03-21T20:22:47.7294599Z   adding 'executorch/backends/qualcomm/builders/op_gt.py'
2025-03-21T20:22:47.7294825Z   adding 'executorch/backends/qualcomm/builders/op_hardsigmoid.py'
2025-03-21T20:22:47.7295049Z   adding 'executorch/backends/qualcomm/builders/op_hardswish.py'
2025-03-21T20:22:47.7295260Z   adding 'executorch/backends/qualcomm/builders/op_hardtanh.py'
2025-03-21T20:22:47.7295522Z   adding 'executorch/backends/qualcomm/builders/op_index.py'
2025-03-21T20:22:47.7295778Z   adding 'executorch/backends/qualcomm/builders/op_index_put.py'
2025-03-21T20:22:47.7296074Z   adding 'executorch/backends/qualcomm/builders/op_instance_norm.py'
2025-03-21T20:22:47.7296358Z   adding 'executorch/backends/qualcomm/builders/op_layer_norm.py'
2025-03-21T20:22:47.7296543Z   adding 'executorch/backends/qualcomm/builders/op_le.py'
2025-03-21T20:22:47.7296752Z   adding 'executorch/backends/qualcomm/builders/op_linear.py'
2025-03-21T20:22:47.7297078Z   adding 'executorch/backends/qualcomm/builders/op_log.py'
2025-03-21T20:22:47.7297316Z   adding 'executorch/backends/qualcomm/builders/op_log_softmax.py'
2025-03-21T20:22:47.7297541Z   adding 'executorch/backends/qualcomm/builders/op_logical_not.py'
2025-03-21T20:22:47.7297723Z   adding 'executorch/backends/qualcomm/builders/op_lt.py'
2025-03-21T20:22:47.7297933Z   adding 'executorch/backends/qualcomm/builders/op_matmul.py'
2025-03-21T20:22:47.7298118Z   adding 'executorch/backends/qualcomm/builders/op_max.py'
2025-03-21T20:22:47.7298351Z   adding 'executorch/backends/qualcomm/builders/op_max_pool2d.py'
2025-03-21T20:22:47.7298646Z   adding 'executorch/backends/qualcomm/builders/op_mean_dim.py'
2025-03-21T20:22:47.7298847Z   adding 'executorch/backends/qualcomm/builders/op_min.py'
2025-03-21T20:22:47.7299030Z   adding 'executorch/backends/qualcomm/builders/op_mul.py'
2025-03-21T20:22:47.7299212Z   adding 'executorch/backends/qualcomm/builders/op_ne.py'
2025-03-21T20:22:47.7299414Z   adding 'executorch/backends/qualcomm/builders/op_neg.py'
2025-03-21T20:22:47.7299595Z   adding 'executorch/backends/qualcomm/builders/op_or.py'
2025-03-21T20:22:47.7299794Z   adding 'executorch/backends/qualcomm/builders/op_pad.py'
2025-03-21T20:22:47.7299982Z   adding 'executorch/backends/qualcomm/builders/op_pow.py'
2025-03-21T20:22:47.7300245Z   adding 'executorch/backends/qualcomm/builders/op_prelu.py'
2025-03-21T20:22:47.7300501Z   adding 'executorch/backends/qualcomm/builders/op_quantize.py'
2025-03-21T20:22:47.7300692Z   adding 'executorch/backends/qualcomm/builders/op_relu.py'
2025-03-21T20:22:47.7301031Z   adding 'executorch/backends/qualcomm/builders/op_repeat.py'
2025-03-21T20:22:47.7301241Z   adding 'executorch/backends/qualcomm/builders/op_reshape.py'
2025-03-21T20:22:47.7301459Z   adding 'executorch/backends/qualcomm/builders/op_rms_norm.py'
2025-03-21T20:22:47.7301653Z   adding 'executorch/backends/qualcomm/builders/op_rsqrt.py'
2025-03-21T20:22:47.7301881Z   adding 'executorch/backends/qualcomm/builders/op_select_copy.py'
2025-03-21T20:22:47.7302401Z   adding 'executorch/backends/qualcomm/builders/op_sigmoid.py'
2025-03-21T20:22:47.7302594Z   adding 'executorch/backends/qualcomm/builders/op_sin.py'
2025-03-21T20:22:47.7302817Z   adding 'executorch/backends/qualcomm/builders/op_skip_ops.py'
2025-03-21T20:22:47.7303034Z   adding 'executorch/backends/qualcomm/builders/op_slice_copy.py'
2025-03-21T20:22:47.7303253Z   adding 'executorch/backends/qualcomm/builders/op_softmax.py'
2025-03-21T20:22:47.7303490Z   adding 'executorch/backends/qualcomm/builders/op_space_to_depth.py'
2025-03-21T20:22:47.7303742Z   adding 'executorch/backends/qualcomm/builders/op_split_with_sizes.py'
2025-03-21T20:22:47.7304027Z   adding 'executorch/backends/qualcomm/builders/op_sqrt.py'
2025-03-21T20:22:47.7304267Z   adding 'executorch/backends/qualcomm/builders/op_squeeze.py'
2025-03-21T20:22:47.7304529Z   adding 'executorch/backends/qualcomm/builders/op_sub.py'
2025-03-21T20:22:47.7304790Z   adding 'executorch/backends/qualcomm/builders/op_sum_int_list.py'
2025-03-21T20:22:47.7305289Z   adding 'executorch/backends/qualcomm/builders/op_tanh.py'
2025-03-21T20:22:47.7305509Z   adding 'executorch/backends/qualcomm/builders/op_to.py'
2025-03-21T20:22:47.7305733Z   adding 'executorch/backends/qualcomm/builders/op_topk.py'
2025-03-21T20:22:47.7306027Z   adding 'executorch/backends/qualcomm/builders/op_transpose.py'
2025-03-21T20:22:47.7306380Z   adding 'executorch/backends/qualcomm/builders/op_unsqueeze.py'
2025-03-21T20:22:47.7306791Z   adding 'executorch/backends/qualcomm/builders/op_upsample_bilinear2d.py'
2025-03-21T20:22:47.7307236Z   adding 'executorch/backends/qualcomm/builders/op_upsample_nearest2d.py'
2025-03-21T20:22:47.7307517Z   adding 'executorch/backends/qualcomm/builders/op_where.py'
2025-03-21T20:22:47.7307778Z   adding 'executorch/backends/qualcomm/builders/qnn_constants.py'
2025-03-21T20:22:47.7307995Z   adding 'executorch/backends/qualcomm/builders/utils.py'
2025-03-21T20:22:47.7308236Z   adding 'executorch/backends/qualcomm/debugger/utils.py'
2025-03-21T20:22:47.7308686Z   adding 'executorch/backends/qualcomm/partition/common_defs.py'
2025-03-21T20:22:47.7320578Z   adding 'executorch/backends/qualcomm/partition/qnn_partitioner.py'
2025-03-21T20:22:47.7321021Z   adding 'executorch/backends/qualcomm/partition/utils.py'
2025-03-21T20:22:47.7321368Z   adding 'executorch/backends/qualcomm/quantizer/annotators.py'
2025-03-21T20:22:47.7321775Z   adding 'executorch/backends/qualcomm/quantizer/custom_annotation.py'
2025-03-21T20:22:47.7322081Z   adding 'executorch/backends/qualcomm/quantizer/qconfig.py'
2025-03-21T20:22:47.7322731Z   adding 'executorch/backends/qualcomm/quantizer/quantizer.py'
2025-03-21T20:22:47.7323349Z   adding 'executorch/backends/qualcomm/quantizer/observers/per_channel_param_observer.py'
2025-03-21T20:22:47.7323744Z   adding 'executorch/backends/qualcomm/serialization/qc_compiler_spec.fbs'
2025-03-21T20:22:47.7324055Z   adding 'executorch/backends/qualcomm/serialization/qc_schema.py'
2025-03-21T20:22:47.7324454Z   adding 'executorch/backends/qualcomm/serialization/qc_schema_serialize.py'
2025-03-21T20:22:47.7324709Z   adding 'executorch/backends/qualcomm/tests/models.py'
2025-03-21T20:22:47.7324937Z   adding 'executorch/backends/qualcomm/tests/test_qnn_delegate.py'
2025-03-21T20:22:47.7325107Z   adding 'executorch/backends/qualcomm/tests/utils.py'
2025-03-21T20:22:47.7325312Z   adding 'executorch/backends/qualcomm/utils/constants.py'
2025-03-21T20:22:47.7325481Z   adding 'executorch/backends/qualcomm/utils/utils.py'
2025-03-21T20:22:47.7325661Z   adding 'executorch/backends/transforms/__init__.py'
2025-03-21T20:22:47.7325876Z   adding 'executorch/backends/transforms/addmm_mm_to_linear.py'
2025-03-21T20:22:47.7326102Z   adding 'executorch/backends/transforms/convert_dtype_pass.py'
2025-03-21T20:22:47.7326295Z   adding 'executorch/backends/transforms/decompose_sdpa.py'
2025-03-21T20:22:47.7326561Z   adding 'executorch/backends/transforms/duplicate_dynamic_quant_chain.py'
2025-03-21T20:22:47.7326849Z   adding 'executorch/backends/transforms/fuse_batch_norm_with_conv.py'
2025-03-21T20:22:47.7327078Z   adding 'executorch/backends/transforms/fuse_conv_with_clamp.py'
2025-03-21T20:22:47.7327432Z   adding 'executorch/backends/transforms/fuse_dequant_linear.py'
2025-03-21T20:22:47.7327626Z   adding 'executorch/backends/transforms/fuse_view_copy.py'
2025-03-21T20:22:47.7327836Z   adding 'executorch/backends/transforms/mean_to_sum_div.py'
2025-03-21T20:22:47.7328031Z   adding 'executorch/backends/transforms/rank_0_to_rank_1.py'
2025-03-21T20:22:47.7328227Z   adding 'executorch/backends/transforms/remove_clone_ops.py'
2025-03-21T20:22:47.7328490Z   adding 'executorch/backends/transforms/replace_scalar_with_tensor.py'
2025-03-21T20:22:47.7328692Z   adding 'executorch/backends/transforms/utils.py'
2025-03-21T20:22:47.7328994Z   adding 'executorch/backends/transforms/view_copy_to_squeeze_unsqueeze.py'
2025-03-21T20:22:47.7329426Z   adding 'executorch/backends/transforms/test/test_create_delete_constant_placeholder.py'
2025-03-21T20:22:47.7329756Z   adding 'executorch/backends/transforms/test/test_duplicate_dynamic_quant_chain.py'
2025-03-21T20:22:47.7329999Z   adding 'executorch/backends/transforms/test/test_rank_0_to_rank_1.py'
2025-03-21T20:22:47.7330153Z   adding 'executorch/backends/vulkan/__init__.py'
2025-03-21T20:22:47.7330344Z   adding 'executorch/backends/vulkan/custom_ops_lib.py'
2025-03-21T20:22:47.7330548Z   adding 'executorch/backends/vulkan/op_registry.py'
2025-03-21T20:22:47.7330714Z   adding 'executorch/backends/vulkan/utils.py'
2025-03-21T20:22:47.7331026Z   adding 'executorch/backends/vulkan/vulkan_preprocess.py'
2025-03-21T20:22:47.7331220Z   adding 'executorch/backends/vulkan/_passes/__init__.py'
2025-03-21T20:22:47.7331473Z   adding 'executorch/backends/vulkan/_passes/insert_prepack_nodes.py'
2025-03-21T20:22:47.7629860Z   adding 'executorch/backends/vulkan/_passes/int4_weight_only_quantizer.py'
2025-03-21T20:22:47.7630618Z   adding 'executorch/backends/vulkan/_passes/remove_asserts.py'
2025-03-21T20:22:47.7631775Z   adding 'executorch/backends/vulkan/_passes/remove_local_scalar_dense_ops.py'
2025-03-21T20:22:47.7632426Z   adding 'executorch/backends/vulkan/_passes/remove_redundant_ops.py'
2025-03-21T20:22:47.7633392Z   adding 'executorch/backends/vulkan/_passes/squeeze_unsqueeze_inputs.py'
2025-03-21T20:22:47.7634016Z   adding 'executorch/backends/vulkan/_passes/tag_memory_meta_pass.py'
2025-03-21T20:22:47.7634650Z   adding 'executorch/backends/vulkan/partitioner/vulkan_partitioner.py'
2025-03-21T20:22:47.7635271Z   adding 'executorch/backends/vulkan/quantizer/vulkan_quantizer.py'
2025-03-21T20:22:47.7635975Z   adding 'executorch/backends/vulkan/runtime/gen_vulkan_spv.py'
2025-03-21T20:22:47.7636768Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_naive_buffer.yaml'
2025-03-21T20:22:47.7637560Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_naive_texture3d.yaml'
2025-03-21T20:22:47.7638332Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_optimized.yaml'
2025-03-21T20:22:47.7639030Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/arange.yaml'
2025-03-21T20:22:47.7639685Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/avg_pool2d.yaml'
2025-03-21T20:22:47.7640465Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/batchnorm.yaml'
2025-03-21T20:22:47.7641128Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/binary_op.yaml'
2025-03-21T20:22:47.7641930Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/bitw8_image_to_nchw_nobitw8buffer.yaml'
2025-03-21T20:22:47.7642768Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/buffer_to_buffer.yaml'
2025-03-21T20:22:47.7643505Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/buffer_to_nchw.yaml'
2025-03-21T20:22:47.7644179Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/clone.yaml'
2025-03-21T20:22:47.7644819Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv1d.yaml'
2025-03-21T20:22:47.7645459Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d.yaml'
2025-03-21T20:22:47.7646290Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw.yaml'
2025-03-21T20:22:47.7647022Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_output_tile.yaml'
2025-03-21T20:22:47.7647837Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_prepack_weights.yaml'
2025-03-21T20:22:47.7648678Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_sned_output_tile.yaml'
2025-03-21T20:22:47.7649610Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_prepack_weights.yaml'
2025-03-21T20:22:47.7650359Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_pw.yaml'
2025-03-21T20:22:47.7651068Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d.yaml'
2025-03-21T20:22:47.7651902Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d_prepack_weights.yaml'
2025-03-21T20:22:47.7652747Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/copy_channel_offset.yaml'
2025-03-21T20:22:47.7653487Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/copy_offset.yaml'
2025-03-21T20:22:47.7654316Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/copy_packed_dim_offset.yaml'
2025-03-21T20:22:47.7655045Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/embedding.yaml'
2025-03-21T20:22:47.7655691Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/flip.yaml'
2025-03-21T20:22:47.7656313Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/full.yaml'
2025-03-21T20:22:47.7657125Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/grid_priors.yaml'
2025-03-21T20:22:47.7657825Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/image_to_nchw.yaml'
2025-03-21T20:22:47.7658536Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/index_select.yaml'
2025-03-21T20:22:47.7659259Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/index_select_channel.yaml'
2025-03-21T20:22:47.7660231Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/kv_cache_update.yaml'
2025-03-21T20:22:47.7660945Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/max_pool2d.yaml'
2025-03-21T20:22:47.7661655Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/native_layer_norm.yaml'
2025-03-21T20:22:47.7662631Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/nchw_to_bitw8_image_nobitw8buffer.yaml'
2025-03-21T20:22:47.7663452Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/nchw_to_buffer.yaml'
2025-03-21T20:22:47.7664238Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/nchw_to_image.yaml'
2025-03-21T20:22:47.7664952Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/no_op.yaml'
2025-03-21T20:22:47.7665668Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/pad_channel.yaml'
2025-03-21T20:22:47.7666389Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/pad_height_width.yaml'
2025-03-21T20:22:47.7667100Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/permute.yaml'
2025-03-21T20:22:47.7667777Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/q_4w_linear.yaml'
2025-03-21T20:22:47.7668590Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/q_8w_linear.yaml'
2025-03-21T20:22:47.7669323Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/q_8w_linear_optimized.yaml'
2025-03-21T20:22:47.7670034Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/reduce.yaml'
2025-03-21T20:22:47.7670699Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/repeat_channel.yaml'
2025-03-21T20:22:47.7671531Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/repeat_interleave.yaml'
2025-03-21T20:22:47.7672283Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/rotary_embedding.yaml'
2025-03-21T20:22:47.7673218Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/sdpa_attn_weight_scale_and_mask.yaml'
2025-03-21T20:22:47.7674158Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_batch_4d.yaml'
2025-03-21T20:22:47.7674901Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_channel_3d.yaml'
2025-03-21T20:22:47.7675645Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_channel_4d.yaml'
2025-03-21T20:22:47.7676394Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_height_3d.yaml'
2025-03-21T20:22:47.7677132Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_height_4d.yaml'
2025-03-21T20:22:47.7677844Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_width_3d.yaml'
2025-03-21T20:22:47.7678692Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_width_4d.yaml'
2025-03-21T20:22:47.7679426Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/slice_packed_dim.yaml'
2025-03-21T20:22:47.7680181Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/slice_unpacked_dim.yaml'
2025-03-21T20:22:47.7681042Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/softmax.yaml'
2025-03-21T20:22:47.7681709Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/unary_op.yaml'
2025-03-21T20:22:47.7682423Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/upsample_nearest2d.yaml'
2025-03-21T20:22:47.7683102Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/view.yaml'
2025-03-21T20:22:47.7683682Z   adding 'executorch/backends/vulkan/serialization/schema.fbs'
2025-03-21T20:22:47.7684361Z   adding 'executorch/backends/vulkan/serialization/vulkan_graph_builder.py'
2025-03-21T20:22:47.7685047Z   adding 'executorch/backends/vulkan/serialization/vulkan_graph_schema.py'
2025-03-21T20:22:47.7685734Z   adding 'executorch/backends/vulkan/serialization/vulkan_graph_serialize.py'
2025-03-21T20:22:47.7686353Z   adding 'executorch/backends/vulkan/test/test_serialization.py'
2025-03-21T20:22:47.7686925Z   adding 'executorch/backends/vulkan/test/test_vulkan_delegate.py'
2025-03-21T20:22:47.7687538Z   adding 'executorch/backends/vulkan/test/test_vulkan_delegate_header.py'
2025-03-21T20:22:47.7688299Z   adding 'executorch/backends/vulkan/test/glsl/all_shaders.yaml'
2025-03-21T20:22:47.7688847Z   adding 'executorch/backends/vulkan/test/op_tests/cases.py'
2025-03-21T20:22:47.7689451Z   adding 'executorch/backends/vulkan/test/op_tests/generate_op_benchmarks.py'
2025-03-21T20:22:47.7690153Z   adding 'executorch/backends/vulkan/test/op_tests/generate_op_correctness_tests.py'
2025-03-21T20:22:47.7690844Z   adding 'executorch/backends/vulkan/test/op_tests/utils/aten_types.py'
2025-03-21T20:22:47.7691494Z   adding 'executorch/backends/vulkan/test/op_tests/utils/gen_benchmark_vk.py'
2025-03-21T20:22:47.7692245Z   adding 'executorch/backends/vulkan/test/op_tests/utils/gen_computegraph.py'
2025-03-21T20:22:47.7693114Z   adding 'executorch/backends/vulkan/test/op_tests/utils/gen_correctness_base.py'
2025-03-21T20:22:47.7693819Z   adding 'executorch/backends/vulkan/test/op_tests/utils/gen_correctness_vk.py'
2025-03-21T20:22:47.7694462Z   adding 'executorch/backends/vulkan/test/op_tests/utils/test_suite.py'
2025-03-21T20:22:47.7695192Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/apiconventions.py'
2025-03-21T20:22:47.7695993Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/cgenerator.py'
2025-03-21T20:22:47.7696869Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/conventions.py'
2025-03-21T20:22:47.7697640Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/generator.py'
2025-03-21T20:22:47.7698527Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/genvk.py'
2025-03-21T20:22:47.7699245Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/reg.py'
2025-03-21T20:22:47.7700004Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/vkconventions.py'
2025-03-21T20:22:47.7700822Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/spec_tools/util.py'
2025-03-21T20:22:47.7701859Z   adding 'executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis/GpuMemDumpVis.py'
2025-03-21T20:22:47.7702951Z   adding 'executorch/backends/vulkan/third-party/volk/generate.py'
2025-03-21T20:22:47.7703587Z   adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/buf_bandwidth.yaml'
2025-03-21T20:22:47.7704415Z   adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/buf_cacheline_size.yaml'
2025-03-21T20:22:47.7705081Z   adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/reg_count.yaml'
2025-03-21T20:22:47.7705725Z   adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/tex_bandwidth.yaml'
2025-03-21T20:22:47.8020291Z   adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/tex_cacheline_concurr.yaml'
2025-03-21T20:22:47.8021586Z   adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/warp_size.yaml'
2025-03-21T20:22:47.8022559Z   adding 'executorch/backends/xnnpack/__init__.py'
2025-03-21T20:22:47.8023166Z   adding 'executorch/backends/xnnpack/xnnpack_preprocess.py'
2025-03-21T20:22:47.8023702Z   adding 'executorch/backends/xnnpack/_passes/__init__.py'
2025-03-21T20:22:47.8024304Z   adding 'executorch/backends/xnnpack/_passes/channels_last_tagged_reshape_pass.py'
2025-03-21T20:22:47.8024981Z   adding 'executorch/backends/xnnpack/_passes/conv1d_unsqueeze_pass.py'
2025-03-21T20:22:47.8025583Z   adding 'executorch/backends/xnnpack/_passes/convert_to_linear.py'
2025-03-21T20:22:47.8026251Z   adding 'executorch/backends/xnnpack/_passes/convert_to_sdpa.py'
2025-03-21T20:22:47.8026894Z   adding 'executorch/backends/xnnpack/_passes/convert_to_upsample_bilinear2d.py'
2025-03-21T20:22:47.8027539Z   adding 'executorch/backends/xnnpack/_passes/decompose_cat.py'
2025-03-21T20:22:47.8028264Z   adding 'executorch/backends/xnnpack/_passes/fuse_activation_pass.py'
2025-03-21T20:22:47.8028908Z   adding 'executorch/backends/xnnpack/_passes/fuse_batch_norm_with_conv.py'
2025-03-21T20:22:47.8029540Z   adding 'executorch/backends/xnnpack/_passes/prelu_reshape_pass.py'
2025-03-21T20:22:47.8030379Z   adding 'executorch/backends/xnnpack/_passes/remove_getitem_op.py'
2025-03-21T20:22:47.8031042Z   adding 'executorch/backends/xnnpack/_passes/tag_implicit_q_dq_pass.py'
2025-03-21T20:22:47.8031790Z   adding 'executorch/backends/xnnpack/_passes/xnnpack_pass.py'
2025-03-21T20:22:47.8032325Z   adding 'executorch/backends/xnnpack/operators/__init__.py'
2025-03-21T20:22:47.8032870Z   adding 'executorch/backends/xnnpack/operators/node_visitor.py'
2025-03-21T20:22:47.8033514Z   adding 'executorch/backends/xnnpack/operators/op_abs.py'
2025-03-21T20:22:47.8034164Z   adding 'executorch/backends/xnnpack/operators/op_add.py'
2025-03-21T20:22:47.8034807Z   adding 'executorch/backends/xnnpack/operators/op_addmm.py'
2025-03-21T20:22:47.8035364Z   adding 'executorch/backends/xnnpack/operators/op_avg_pooling2d.py'
2025-03-21T20:22:47.8035959Z   adding 'executorch/backends/xnnpack/operators/op_bmm.py'
2025-03-21T20:22:47.8036507Z   adding 'executorch/backends/xnnpack/operators/op_cat.py'
2025-03-21T20:22:47.8037027Z   adding 'executorch/backends/xnnpack/operators/op_ceiling.py'
2025-03-21T20:22:47.8037567Z   adding 'executorch/backends/xnnpack/operators/op_clamp.py'
2025-03-21T20:22:47.8038208Z   adding 'executorch/backends/xnnpack/operators/op_conv2d.py'
2025-03-21T20:22:47.8038725Z   adding 'executorch/backends/xnnpack/operators/op_div.py'
2025-03-21T20:22:47.8039324Z   adding 'executorch/backends/xnnpack/operators/op_dynamic_dequantize_ops.py'
2025-03-21T20:22:47.8040055Z   adding 'executorch/backends/xnnpack/operators/op_dynamic_quantize_ops.py'
2025-03-21T20:22:47.8040645Z   adding 'executorch/backends/xnnpack/operators/op_elu.py'
2025-03-21T20:22:47.8041213Z   adding 'executorch/backends/xnnpack/operators/op_floor.py'
2025-03-21T20:22:47.8041806Z   adding 'executorch/backends/xnnpack/operators/op_hardswish.py'
2025-03-21T20:22:47.8042480Z   adding 'executorch/backends/xnnpack/operators/op_hardtanh.py'
2025-03-21T20:22:47.8043083Z   adding 'executorch/backends/xnnpack/operators/op_leaky_relu.py'
2025-03-21T20:22:47.8043778Z   adding 'executorch/backends/xnnpack/operators/op_linear.py'
2025-03-21T20:22:47.8044395Z   adding 'executorch/backends/xnnpack/operators/op_matrix_multiplication.py'
2025-03-21T20:22:47.8045009Z   adding 'executorch/backends/xnnpack/operators/op_max_dim.py'
2025-03-21T20:22:47.8045562Z   adding 'executorch/backends/xnnpack/operators/op_max_pool2d.py'
2025-03-21T20:22:47.8046101Z   adding 'executorch/backends/xnnpack/operators/op_maximum.py'
2025-03-21T20:22:47.8046638Z   adding 'executorch/backends/xnnpack/operators/op_mean_dim.py'
2025-03-21T20:22:47.8047180Z   adding 'executorch/backends/xnnpack/operators/op_minimum.py'
2025-03-21T20:22:47.8047829Z   adding 'executorch/backends/xnnpack/operators/op_multiply.py'
2025-03-21T20:22:47.8048365Z   adding 'executorch/backends/xnnpack/operators/op_negate.py'
2025-03-21T20:22:47.8048884Z   adding 'executorch/backends/xnnpack/operators/op_permute.py'
2025-03-21T20:22:47.8049409Z   adding 'executorch/backends/xnnpack/operators/op_prelu.py'
2025-03-21T20:22:47.8050105Z   adding 'executorch/backends/xnnpack/operators/op_quant_dequant.py'
2025-03-21T20:22:47.8050671Z   adding 'executorch/backends/xnnpack/operators/op_relu.py'
2025-03-21T20:22:47.8051190Z   adding 'executorch/backends/xnnpack/operators/op_rsqrt.py'
2025-03-21T20:22:47.8051707Z   adding 'executorch/backends/xnnpack/operators/op_sdpa.py'
2025-03-21T20:22:47.8052220Z   adding 'executorch/backends/xnnpack/operators/op_sigmoid.py'
2025-03-21T20:22:47.8052763Z   adding 'executorch/backends/xnnpack/operators/op_skip_ops.py'
2025-03-21T20:22:47.8053323Z   adding 'executorch/backends/xnnpack/operators/op_slice_copy.py'
2025-03-21T20:22:47.8053976Z   adding 'executorch/backends/xnnpack/operators/op_softmax.py'
2025-03-21T20:22:47.8054509Z   adding 'executorch/backends/xnnpack/operators/op_square.py'
2025-03-21T20:22:47.8055047Z   adding 'executorch/backends/xnnpack/operators/op_square_root.py'
2025-03-21T20:22:47.8055607Z   adding 'executorch/backends/xnnpack/operators/op_squeeze.py'
2025-03-21T20:22:47.8056345Z   adding 'executorch/backends/xnnpack/operators/op_static_constant_pad.py'
2025-03-21T20:22:47.8057194Z   adding 'executorch/backends/xnnpack/operators/op_static_resize_bilinear_2d.py'
2025-03-21T20:22:47.8057806Z   adding 'executorch/backends/xnnpack/operators/op_sub.py'
2025-03-21T20:22:47.8058330Z   adding 'executorch/backends/xnnpack/operators/op_to_copy.py'
2025-03-21T20:22:47.8058964Z   adding 'executorch/backends/xnnpack/operators/quant_params.py'
2025-03-21T20:22:47.8059503Z   adding 'executorch/backends/xnnpack/partition/configs.py'
2025-03-21T20:22:47.8060079Z   adding 'executorch/backends/xnnpack/partition/xnnpack_partitioner.py'
2025-03-21T20:22:47.8060909Z   adding 'executorch/backends/xnnpack/partition/config/__init__.py'
2025-03-21T20:22:47.8061527Z   adding 'executorch/backends/xnnpack/partition/config/gemm_configs.py'
2025-03-21T20:22:47.8062197Z   adding 'executorch/backends/xnnpack/partition/config/generic_node_configs.py'
2025-03-21T20:22:47.8062850Z   adding 'executorch/backends/xnnpack/partition/config/node_configs.py'
2025-03-21T20:22:47.8063570Z   adding 'executorch/backends/xnnpack/partition/config/quant_affine_configs.py'
2025-03-21T20:22:47.8064301Z   adding 'executorch/backends/xnnpack/partition/config/xnnpack_config.py'
2025-03-21T20:22:47.8064938Z   adding 'executorch/backends/xnnpack/partition/graphs/bilinear_2d.py'
2025-03-21T20:22:47.8065523Z   adding 'executorch/backends/xnnpack/partition/graphs/sdpa.py'
2025-03-21T20:22:47.8066094Z   adding 'executorch/backends/xnnpack/quantizer/xnnpack_quantizer.py'
2025-03-21T20:22:47.8066734Z   adding 'executorch/backends/xnnpack/quantizer/xnnpack_quantizer_utils.py'
2025-03-21T20:22:47.8067393Z   adding 'executorch/backends/xnnpack/serialization/runtime_schema.fbs'
2025-03-21T20:22:47.8067982Z   adding 'executorch/backends/xnnpack/serialization/schema.fbs'
2025-03-21T20:22:47.8068601Z   adding 'executorch/backends/xnnpack/serialization/xnnpack_graph_schema.py'
2025-03-21T20:22:47.8069301Z   adding 'executorch/backends/xnnpack/serialization/xnnpack_graph_serialize.py'
2025-03-21T20:22:47.8069941Z   adding 'executorch/backends/xnnpack/test/test_xnnpack_utils.py'
2025-03-21T20:22:47.8070550Z   adding 'executorch/backends/xnnpack/test/test_xnnpack_utils_classes.py'
2025-03-21T20:22:47.8071160Z   adding 'executorch/backends/xnnpack/test/models/deeplab_v3.py'
2025-03-21T20:22:47.8071817Z   adding 'executorch/backends/xnnpack/test/models/edsr.py'
2025-03-21T20:22:47.8072364Z   adding 'executorch/backends/xnnpack/test/models/emformer_rnnt.py'
2025-03-21T20:22:47.8072950Z   adding 'executorch/backends/xnnpack/test/models/inception_v3.py'
2025-03-21T20:22:47.8073656Z   adding 'executorch/backends/xnnpack/test/models/inception_v4.py'
2025-03-21T20:22:47.8074255Z   adding 'executorch/backends/xnnpack/test/models/llama2_et_example.py'
2025-03-21T20:22:47.8074848Z   adding 'executorch/backends/xnnpack/test/models/mobilebert.py'
2025-03-21T20:22:47.8075418Z   adding 'executorch/backends/xnnpack/test/models/mobilenet_v2.py'
2025-03-21T20:22:47.8076012Z   adding 'executorch/backends/xnnpack/test/models/mobilenet_v3.py'
2025-03-21T20:22:47.8076632Z   adding 'executorch/backends/xnnpack/test/models/resnet.py'
2025-03-21T20:22:47.8077196Z   adding 'executorch/backends/xnnpack/test/models/torchvision_vit.py'
2025-03-21T20:22:47.8077799Z   adding 'executorch/backends/xnnpack/test/models/very_big_model.py'
2025-03-21T20:22:47.8078343Z   adding 'executorch/backends/xnnpack/test/models/w2l.py'
2025-03-21T20:22:47.8078847Z   adding 'executorch/backends/xnnpack/test/ops/test_abs.py'
2025-03-21T20:22:47.8079358Z   adding 'executorch/backends/xnnpack/test/ops/test_add.py'
2025-03-21T20:22:47.8079892Z   adding 'executorch/backends/xnnpack/test/ops/test_avgpool2d.py'
2025-03-21T20:22:47.8080469Z   adding 'executorch/backends/xnnpack/test/ops/test_bilinear2d.py'
2025-03-21T20:22:47.8081020Z   adding 'executorch/backends/xnnpack/test/ops/test_bmm.py'
2025-03-21T20:22:47.8081531Z   adding 'executorch/backends/xnnpack/test/ops/test_cat.py'
2025-03-21T20:22:47.8082042Z   adding 'executorch/backends/xnnpack/test/ops/test_ceil.py'
2025-03-21T20:22:47.8082740Z   adding 'executorch/backends/xnnpack/test/ops/test_check_quant_params.py'
2025-03-21T20:22:47.8083338Z   adding 'executorch/backends/xnnpack/test/ops/test_clamp.py'
2025-03-21T20:22:47.8083868Z   adding 'executorch/backends/xnnpack/test/ops/test_conv1d.py'
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2025-03-21T20:22:47.8085587Z   adding 'executorch/backends/xnnpack/test/ops/test_elu.py'
2025-03-21T20:22:47.8086164Z   adding 'executorch/backends/xnnpack/test/ops/test_floor.py'
2025-03-21T20:22:47.8086709Z   adding 'executorch/backends/xnnpack/test/ops/test_hardswish.py'
2025-03-21T20:22:47.8087269Z   adding 'executorch/backends/xnnpack/test/ops/test_hardtanh.py'
2025-03-21T20:22:47.8087840Z   adding 'executorch/backends/xnnpack/test/ops/test_leaky_relu.py'
2025-03-21T20:22:47.8088475Z   adding 'executorch/backends/xnnpack/test/ops/test_linear.py'
2025-03-21T20:22:47.8089004Z   adding 'executorch/backends/xnnpack/test/ops/test_lstm.py'
2025-03-21T20:22:47.8089534Z   adding 'executorch/backends/xnnpack/test/ops/test_max_dim.py'
2025-03-21T20:22:47.8090070Z   adding 'executorch/backends/xnnpack/test/ops/test_maximum.py'
2025-03-21T20:22:47.8090672Z   adding 'executorch/backends/xnnpack/test/ops/test_maxpool2d.py'
2025-03-21T20:22:47.8091305Z   adding 'executorch/backends/xnnpack/test/ops/test_mean_dim.py'
2025-03-21T20:22:47.8091849Z   adding 'executorch/backends/xnnpack/test/ops/test_minimum.py'
2025-03-21T20:22:47.8092386Z   adding 'executorch/backends/xnnpack/test/ops/test_multiply.py'
2025-03-21T20:22:47.8092930Z   adding 'executorch/backends/xnnpack/test/ops/test_negate.py'
2025-03-21T20:22:47.8093530Z   adding 'executorch/backends/xnnpack/test/ops/test_permute.py'
2025-03-21T20:22:47.8094088Z   adding 'executorch/backends/xnnpack/test/ops/test_pow.py'
2025-03-21T20:22:47.8094602Z   adding 'executorch/backends/xnnpack/test/ops/test_prelu.py'
2025-03-21T20:22:47.8320876Z   adding 'executorch/backends/xnnpack/test/ops/test_quantize_per_tensor.py'
2025-03-21T20:22:47.8321980Z   adding 'executorch/backends/xnnpack/test/ops/test_relu.py'
2025-03-21T20:22:47.8322508Z   adding 'executorch/backends/xnnpack/test/ops/test_rsqrt.py'
2025-03-21T20:22:47.8323028Z   adding 'executorch/backends/xnnpack/test/ops/test_sdpa.py'
2025-03-21T20:22:47.8323559Z   adding 'executorch/backends/xnnpack/test/ops/test_sigmoid.py'
2025-03-21T20:22:47.8324126Z   adding 'executorch/backends/xnnpack/test/ops/test_slice_copy.py'
2025-03-21T20:22:47.8324771Z   adding 'executorch/backends/xnnpack/test/ops/test_softmax.py'
2025-03-21T20:22:47.8325305Z   adding 'executorch/backends/xnnpack/test/ops/test_sqrt.py'
2025-03-21T20:22:47.8325825Z   adding 'executorch/backends/xnnpack/test/ops/test_square.py'
2025-03-21T20:22:47.8326422Z   adding 'executorch/backends/xnnpack/test/ops/test_static_constant_pad.py'
2025-03-21T20:22:47.8327011Z   adding 'executorch/backends/xnnpack/test/ops/test_sub.py'
2025-03-21T20:22:47.8327614Z   adding 'executorch/backends/xnnpack/test/passes/test_activation_fusion.py'
2025-03-21T20:22:47.8328347Z   adding 'executorch/backends/xnnpack/test/passes/test_batch_norm_fusion.py'
2025-03-21T20:22:47.8329079Z   adding 'executorch/backends/xnnpack/test/passes/test_channels_last_tagged_reshape.py'
2025-03-21T20:22:47.8329813Z   adding 'executorch/backends/xnnpack/test/passes/test_convert_to_linear.py'
2025-03-21T20:22:47.8330495Z   adding 'executorch/backends/xnnpack/test/passes/test_decompose_cat_pass.py'
2025-03-21T20:22:47.8331266Z   adding 'executorch/backends/xnnpack/test/passes/test_remove_get_item_pass.py'
2025-03-21T20:22:47.8331978Z   adding 'executorch/backends/xnnpack/test/passes/test_tag_implicit_q_dq_pass.py'
2025-03-21T20:22:47.8332682Z   adding 'executorch/backends/xnnpack/test/quantizer/test_pt2e_quantization.py'
2025-03-21T20:22:47.8333443Z   adding 'executorch/backends/xnnpack/test/quantizer/test_representation.py'
2025-03-21T20:22:47.8334395Z   adding 'executorch/backends/xnnpack/test/quantizer/test_xnnpack_quantizer.py'
2025-03-21T20:22:47.8335111Z   adding 'executorch/backends/xnnpack/test/serialization/test_serialization.py'
2025-03-21T20:22:47.8335835Z   adding 'executorch/backends/xnnpack/test/serialization/test_xnnheader.py'
2025-03-21T20:22:47.8336473Z   adding 'executorch/backends/xnnpack/test/tester/__init__.py'
2025-03-21T20:22:47.8336984Z   adding 'executorch/backends/xnnpack/test/tester/tester.py'
2025-03-21T20:22:47.8337687Z   adding 'executorch/backends/xnnpack/third-party/generate-cpuinfo-wrappers.py'
2025-03-21T20:22:47.8338476Z   adding 'executorch/backends/xnnpack/third-party/FP16/configure.py'
2025-03-21T20:22:47.8339069Z   adding 'executorch/backends/xnnpack/third-party/FP16/confu.yaml'
2025-03-21T20:22:47.8339759Z   adding 'executorch/backends/xnnpack/third-party/FP16/include/fp16/__init__.py'
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2025-03-21T20:22:47.8341850Z   adding 'executorch/backends/xnnpack/third-party/FP16/test/peachpy/stubs.py'
2025-03-21T20:22:47.8342493Z   adding 'executorch/backends/xnnpack/third-party/FXdiv/configure.py'
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2025-03-21T20:22:47.8343798Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/scripts/check_config.py'
2025-03-21T20:22:47.8344563Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/scripts/check_files_changed.py'
2025-03-21T20:22:47.8345457Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/scripts/generate-build-identifier.py'
2025-03-21T20:22:47.8346262Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/scripts/sort-filenames.py'
2025-03-21T20:22:47.8347025Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/bf16-gemm-minmax.yaml'
2025-03-21T20:22:47.8347844Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-conv-hwc2chw.yaml'
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2025-03-21T20:22:47.8353392Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-ibilinear-chw.yaml'
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2025-03-21T20:22:47.8354971Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-igemm-minmax.yaml'
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2025-03-21T20:22:47.8356546Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rmax.yaml'
2025-03-21T20:22:47.8357225Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rmin.yaml'
2025-03-21T20:22:47.8357929Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rminmax.yaml'
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2025-03-21T20:22:47.8360943Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-argmaxpool.yaml'
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2025-03-21T20:22:47.8375792Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddexpminusmax.yaml'
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2025-03-21T20:22:47.8378792Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rmax.yaml'
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2025-03-21T20:22:48.1819968Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-rdsum-minmax-fp32.yaml'
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2025-03-21T20:22:48.1822783Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-gemm-minmax-fp32.yaml'
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2025-03-21T20:22:48.1828683Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-rdsum.yaml'
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2025-03-21T20:22:48.1831182Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/s8-ibilinear.yaml'
2025-03-21T20:22:48.1832505Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/u8-ibilinear.yaml'
2025-03-21T20:22:48.1833947Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/u8-lut32norm.yaml'
2025-03-21T20:22:48.1835242Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/u8-rmax.yaml'
2025-03-21T20:22:48.1836423Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/x8-lut.yaml'
2025-03-21T20:22:48.1837799Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-argmaxpool-test.py'
2025-03-21T20:22:48.1839303Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc-test.py'
2025-03-21T20:22:48.1840870Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc2chw-test.py'
2025-03-21T20:22:48.1842492Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-multipass-test.py'
2025-03-21T20:22:48.1844118Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-unipass-test.py'
2025-03-21T20:22:48.1845786Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv2d-chw-test.py'
2025-03-21T20:22:48.1847201Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-gemm-test.py'
2025-03-21T20:22:48.1848698Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-ibilinear-chw-test.py'
2025-03-21T20:22:48.1850241Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-ibilinear-test.py'
2025-03-21T20:22:48.1851689Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-lut-norm-test.py'
2025-03-21T20:22:48.1853123Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-lut-test.py'
2025-03-21T20:22:48.1854622Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddexpminusmax-test.py'
2025-03-21T20:22:48.1856229Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddextexp-test.py'
2025-03-21T20:22:48.1857887Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddstoreexpminusmax-test.py'
2025-03-21T20:22:48.1859544Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-rdsum-benchmark.py'
2025-03-21T20:22:48.1861350Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-rdsum-test.py'
2025-03-21T20:22:48.1862767Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-reduce-test.py'
2025-03-21T20:22:48.1864177Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-spmm-test.py'
2025-03-21T20:22:48.1865625Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vbinary-test.py'
2025-03-21T20:22:48.1867116Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vmulcaddc-test.py'
2025-03-21T20:22:48.1868998Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vscaleexpminusmax-test.py'
2025-03-21T20:22:48.1870687Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vscaleextexp-test.py'
2025-03-21T20:22:48.1872186Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vunary-test.py'
2025-03-21T20:22:48.1873659Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/primes.py'
2025-03-21T20:22:48.1875007Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/update-microkernels.py'
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2025-03-21T20:22:48.1877617Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/xnncommon.py'
2025-03-21T20:22:48.1878762Z   adding 'executorch/backends/xnnpack/third-party/cpuinfo/configure.py'
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2025-03-21T20:22:48.1883706Z   adding 'executorch/backends/xnnpack/third-party/cpuinfo/scripts/android-device-dump.py'
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2025-03-21T20:22:48.1888158Z   adding 'executorch/backends/xnnpack/third-party/pthreadpool/configure.py'
2025-03-21T20:22:48.1889295Z   adding 'executorch/backends/xnnpack/third-party/pthreadpool/confu.yaml'
2025-03-21T20:22:48.1890335Z   adding 'executorch/backends/xnnpack/utils/configs.py'
2025-03-21T20:22:48.1891213Z   adding 'executorch/backends/xnnpack/utils/quant_utils.py'
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2025-03-21T20:22:48.1893764Z   adding 'executorch/codegen/__init__.py'
2025-03-21T20:22:48.1894403Z   adding 'executorch/codegen/tools/__init__.py'
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2025-03-21T20:22:48.1896587Z   adding 'executorch/codegen/tools/gen_ops_def.py'
2025-03-21T20:22:48.1897469Z   adding 'executorch/codegen/tools/gen_selected_op_variants.py'
2025-03-21T20:22:48.1898324Z   adding 'executorch/codegen/tools/merge_yaml.py'
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2025-03-21T20:22:48.1904019Z   adding 'executorch/data/bin/__init__.py'
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2025-03-21T20:22:48.1933958Z   adding 'executorch/devtools/etrecord/tests/etrecord_test.py'
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2025-03-21T20:22:48.1937336Z   adding 'executorch/devtools/inspector/inspector_cli.py'
2025-03-21T20:22:48.1938279Z   adding 'executorch/devtools/inspector/tests/event_blocks_test.py'
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2025-03-21T20:22:48.1942643Z   adding 'executorch/devtools/size_analysis_tool/size_analysis_tool_test.py'
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2025-03-21T20:22:48.1944609Z   adding 'executorch/devtools/visualization/visualization_utils.py'
2025-03-21T20:22:48.1945652Z   adding 'executorch/devtools/visualization/visualization_utils_test.py'
2025-03-21T20:22:48.1946662Z   adding 'executorch/examples/apple/coreml/llama/export.py'
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2025-03-21T20:22:48.2197471Z   adding 'executorch/examples/llm_pte_finetuning/qwen_05b_config.yaml'
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2025-03-21T20:22:48.2216606Z   adding 'executorch/examples/models/efficient_sam/efficient_sam_core/two_way_transformer.py'
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2025-03-21T20:22:48.2232358Z   adding 'executorch/examples/models/llama/model.py'
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2025-03-21T20:22:48.2258753Z   adding 'executorch/examples/models/llama/source_transformation/rms_norm.py'
2025-03-21T20:22:48.2259213Z   adding 'executorch/examples/models/llama/source_transformation/rope.py'
2025-03-21T20:22:48.2259679Z   adding 'executorch/examples/models/llama/source_transformation/sdpa.py'
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2025-03-21T20:22:48.2260763Z   adding 'executorch/examples/models/llama/source_transformation/test_attention_sink.py'
2025-03-21T20:22:48.2261391Z   adding 'executorch/examples/models/llama/source_transformation/test_quantized_kv_cache.py'
2025-03-21T20:22:48.2262070Z   adding 'executorch/examples/models/llama/source_transformation/test_sdpa_with_quantized_kv_cache.py'
2025-03-21T20:22:48.2262625Z   adding 'executorch/examples/models/llama/source_transformation/vulkan_rope.py'
2025-03-21T20:22:48.2263220Z   adding 'executorch/examples/models/llama/tests/test_pre_quantization_transforms.py'
2025-03-21T20:22:48.2283689Z   adding 'executorch/examples/models/llama/tests/test_simple_sdpa.py'
2025-03-21T20:22:48.2284417Z   adding 'executorch/examples/models/llama/tests/test_static_attention.py'
2025-03-21T20:22:48.2284759Z   adding 'executorch/examples/models/llama/tokenizer/tiktoken.py'
2025-03-21T20:22:48.2285090Z   adding 'executorch/examples/models/llama3_2_vision/__init__.py'
2025-03-21T20:22:48.2285514Z   adding 'executorch/examples/models/llama3_2_vision/preprocess/__init__.py'
2025-03-21T20:22:48.2286080Z   adding 'executorch/examples/models/llama3_2_vision/preprocess/export_preprocess.py'
2025-03-21T20:22:48.2286572Z   adding 'executorch/examples/models/llama3_2_vision/preprocess/model.py'
2025-03-21T20:22:48.2287129Z   adding 'executorch/examples/models/llama3_2_vision/preprocess/test_preprocess.py'
2025-03-21T20:22:48.2287505Z   adding 'executorch/examples/models/llama3_2_vision/runner/eager.py'
2025-03-21T20:22:48.2287969Z   adding 'executorch/examples/models/llama3_2_vision/runner/exported.py'
2025-03-21T20:22:48.2288645Z   adding 'executorch/examples/models/llama3_2_vision/runner/generation.py'
2025-03-21T20:22:48.2289053Z   adding 'executorch/examples/models/llama3_2_vision/runner/native.py'
2025-03-21T20:22:48.2289516Z   adding 'executorch/examples/models/llama3_2_vision/text_decoder/model.py'
2025-03-21T20:22:48.2290079Z   adding 'executorch/examples/models/llama3_2_vision/text_decoder/test/__init__.py'
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2025-03-21T20:22:48.2293096Z   adding 'executorch/examples/models/llama3_2_vision/vision_encoder/test/test_vision_encoder.py'
2025-03-21T20:22:48.2293407Z   adding 'executorch/examples/models/llava/__init__.py'
2025-03-21T20:22:48.2293756Z   adding 'executorch/examples/models/llava/export_llava.py'
2025-03-21T20:22:48.2294070Z   adding 'executorch/examples/models/llava/image_util.py'
2025-03-21T20:22:48.2294342Z   adding 'executorch/examples/models/llava/model.py'
2025-03-21T20:22:48.2294713Z   adding 'executorch/examples/models/llava/test/test_llava.py'
2025-03-21T20:22:48.2295054Z   adding 'executorch/examples/models/llava/test/test_pte.py'
2025-03-21T20:22:48.2295356Z   adding 'executorch/examples/models/lstm/__init__.py'
2025-03-21T20:22:48.2295602Z   adding 'executorch/examples/models/lstm/model.py'
2025-03-21T20:22:48.2295959Z   adding 'executorch/examples/models/mobilebert/__init__.py'
2025-03-21T20:22:48.2296288Z   adding 'executorch/examples/models/mobilebert/model.py'
2025-03-21T20:22:48.2296650Z   adding 'executorch/examples/models/mobilenet_v2/__init__.py'
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2025-03-21T20:22:48.2297309Z   adding 'executorch/examples/models/mobilenet_v3/__init__.py'
2025-03-21T20:22:48.2297617Z   adding 'executorch/examples/models/mobilenet_v3/model.py'
2025-03-21T20:22:48.2297922Z   adding 'executorch/examples/models/moshi/mimi/test_mimi.py'
2025-03-21T20:22:48.2298255Z   adding 'executorch/examples/models/phi-3-mini/__init__.py'
2025-03-21T20:22:48.2298573Z   adding 'executorch/examples/models/phi-3-mini/eager.py'
2025-03-21T20:22:48.2298996Z   adding 'executorch/examples/models/phi-3-mini/export_phi-3-mini.py'
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2025-03-21T20:22:48.2299702Z   adding 'executorch/examples/models/phi-3-mini/static_cache.py'
2025-03-21T20:22:48.2300122Z   adding 'executorch/examples/models/phi-3-mini-lora/export_model.py'
2025-03-21T20:22:48.2300441Z   adding 'executorch/examples/models/phi-4-mini/__init__.py'
2025-03-21T20:22:48.2300832Z   adding 'executorch/examples/models/phi-4-mini/convert_weights.py'
2025-03-21T20:22:48.2301154Z   adding 'executorch/examples/models/qwen2_5/__init__.py'
2025-03-21T20:22:48.2301527Z   adding 'executorch/examples/models/qwen2_5/convert_weights.py'
2025-03-21T20:22:48.2815968Z   adding 'executorch/examples/models/resnet/__init__.py'
2025-03-21T20:22:48.2816853Z   adding 'executorch/examples/models/resnet/model.py'
2025-03-21T20:22:48.2817618Z   adding 'executorch/examples/models/test/__init__.py'
2025-03-21T20:22:48.2818440Z   adding 'executorch/examples/models/test/test_export.py'
2025-03-21T20:22:48.2819322Z   adding 'executorch/examples/models/torchvision_vit/__init__.py'
2025-03-21T20:22:48.2820419Z   adding 'executorch/examples/models/torchvision_vit/model.py'
2025-03-21T20:22:48.2821372Z   adding 'executorch/examples/models/toy_model/__init__.py'
2025-03-21T20:22:48.2822259Z   adding 'executorch/examples/models/toy_model/model.py'
2025-03-21T20:22:48.2823134Z   adding 'executorch/examples/models/wav2letter/__init__.py'
2025-03-21T20:22:48.2824026Z   adding 'executorch/examples/models/wav2letter/model.py'
2025-03-21T20:22:48.2825106Z   adding 'executorch/exir/__init__.py'
2025-03-21T20:22:48.2825724Z   adding 'executorch/exir/_warnings.py'
2025-03-21T20:22:48.2826345Z   adding 'executorch/exir/common.py'
2025-03-21T20:22:48.2826967Z   adding 'executorch/exir/control_flow.py'
2025-03-21T20:22:48.2827602Z   adding 'executorch/exir/delegate.py'
2025-03-21T20:22:48.2828229Z   adding 'executorch/exir/delegate.pyi'
2025-03-21T20:22:48.2828861Z   adding 'executorch/exir/dim_order_utils.py'
2025-03-21T20:22:48.2829536Z   adding 'executorch/exir/dynamic_shape.py'
2025-03-21T20:22:48.2830170Z   adding 'executorch/exir/error.py'
2025-03-21T20:22:48.2830900Z   adding 'executorch/exir/graph.py'
2025-03-21T20:22:48.2831519Z   adding 'executorch/exir/graph_module.py'
2025-03-21T20:22:48.2832208Z   adding 'executorch/exir/lowered_backend_module.py'
2025-03-21T20:22:48.2832891Z   adding 'executorch/exir/memory.py'
2025-03-21T20:22:48.2833685Z   adding 'executorch/exir/memory_planning.py'
2025-03-21T20:22:48.2834358Z   adding 'executorch/exir/pass_base.py'
2025-03-21T20:22:48.2834995Z   adding 'executorch/exir/pass_manager.py'
2025-03-21T20:22:48.2835645Z   adding 'executorch/exir/print_program.py'
2025-03-21T20:22:48.2836294Z   adding 'executorch/exir/scalar_type.py'
2025-03-21T20:22:48.2836919Z   adding 'executorch/exir/schema.py'
2025-03-21T20:22:48.2837523Z   adding 'executorch/exir/sym_util.py'
2025-03-21T20:22:48.2838123Z   adding 'executorch/exir/tensor.py'
2025-03-21T20:22:48.2838698Z   adding 'executorch/exir/tracer.py'
2025-03-21T20:22:48.2839292Z   adding 'executorch/exir/types.py'
2025-03-21T20:22:48.2839932Z   adding 'executorch/exir/version.py'
2025-03-21T20:22:48.2840551Z   adding 'executorch/exir/wrap.py'
2025-03-21T20:22:48.2841185Z   adding 'executorch/exir/_serialize/__init__.py'
2025-03-21T20:22:48.2841885Z   adding 'executorch/exir/_serialize/_cord.py'
2025-03-21T20:22:48.2842553Z   adding 'executorch/exir/_serialize/_dataclass.py'
2025-03-21T20:22:48.2843343Z   adding 'executorch/exir/_serialize/_flatbuffer.py'
2025-03-21T20:22:48.2844207Z   adding 'executorch/exir/_serialize/_named_data_store.py'
2025-03-21T20:22:48.2845010Z   adding 'executorch/exir/_serialize/_program.py'
2025-03-21T20:22:48.2845642Z   adding 'executorch/exir/_serialize/_serialize.py'
2025-03-21T20:22:48.2846359Z   adding 'executorch/exir/_serialize/data_serializer.py'
2025-03-21T20:22:48.2847160Z   adding 'executorch/exir/_serialize/padding.py'
2025-03-21T20:22:48.2847900Z   adding 'executorch/exir/_serialize/program.fbs'
2025-03-21T20:22:48.2848665Z   adding 'executorch/exir/_serialize/scalar_type.fbs'
2025-03-21T20:22:48.2849389Z   adding 'executorch/exir/_serialize/test/__init__.py'
2025-03-21T20:22:48.2850107Z   adding 'executorch/exir/_serialize/test/test_cord.py'
2025-03-21T20:22:48.2850902Z   adding 'executorch/exir/_serialize/test/test_flatbuffer.py'
2025-03-21T20:22:48.2851817Z   adding 'executorch/exir/_serialize/test/test_named_data_store.py'
2025-03-21T20:22:48.2852733Z   adding 'executorch/exir/_serialize/test/test_program.py'
2025-03-21T20:22:48.2853554Z   adding 'executorch/exir/backend/backend_api.py'
2025-03-21T20:22:48.2854281Z   adding 'executorch/exir/backend/backend_details.py'
2025-03-21T20:22:48.2855095Z   adding 'executorch/exir/backend/compile_spec_schema.py'
2025-03-21T20:22:48.2855922Z   adding 'executorch/exir/backend/operator_support.py'
2025-03-21T20:22:48.2856700Z   adding 'executorch/exir/backend/partitioner.py'
2025-03-21T20:22:48.2857394Z   adding 'executorch/exir/backend/utils.py'
2025-03-21T20:22:48.2858378Z   adding 'executorch/exir/backend/canonical_partitioners/config_partitioner.py'
2025-03-21T20:22:48.2859799Z   adding 'executorch/exir/backend/canonical_partitioners/duplicate_constant_node_pass.py'
2025-03-21T20:22:48.2861233Z   adding 'executorch/exir/backend/canonical_partitioners/duplicate_dequant_node_pass.py'
2025-03-21T20:22:48.2862611Z   adding 'executorch/exir/backend/canonical_partitioners/pattern_op_partitioner.py'
2025-03-21T20:22:48.2863796Z   adding 'executorch/exir/backend/test/backend_with_compiler_demo.py'
2025-03-21T20:22:48.2865133Z   adding 'executorch/exir/backend/test/backend_with_delegate_mapping_demo.py'
2025-03-21T20:22:48.2866249Z   adding 'executorch/exir/backend/test/backend_with_named_data_map.py'
2025-03-21T20:22:48.2867211Z   adding 'executorch/exir/backend/test/hta_partitioner_demo.py'
2025-03-21T20:22:48.2868098Z   adding 'executorch/exir/backend/test/op_partitioner_demo.py'
2025-03-21T20:22:48.2868964Z   adding 'executorch/exir/backend/test/qnn_backend_demo.py'
2025-03-21T20:22:48.2869956Z   adding 'executorch/exir/backend/test/test_backend_with_named_data_map.py'
2025-03-21T20:22:48.2871207Z   adding 'executorch/exir/backend/test/test_backends.py'
2025-03-21T20:22:48.2872064Z   adding 'executorch/exir/backend/test/test_backends_lifted.py'
2025-03-21T20:22:48.2873184Z   adding 'executorch/exir/backend/test/test_backends_nested.py'
2025-03-21T20:22:48.2874157Z   adding 'executorch/exir/backend/test/test_compatibility.py'
2025-03-21T20:22:48.2875148Z   adding 'executorch/exir/backend/test/test_debug_handle_map.py'
2025-03-21T20:22:48.2876165Z   adding 'executorch/exir/backend/test/test_delegate_map_builder.py'
2025-03-21T20:22:48.2877162Z   adding 'executorch/exir/backend/test/test_graph_partition.py'
2025-03-21T20:22:48.2878188Z   adding 'executorch/exir/backend/test/test_lowered_backend_module.py'
2025-03-21T20:22:48.2879184Z   adding 'executorch/exir/backend/test/test_partitioner.py'
2025-03-21T20:22:48.2880028Z   adding 'executorch/exir/backend/test/test_passes.py'
2025-03-21T20:22:48.2880799Z   adding 'executorch/exir/backend/test/test_utils.py'
2025-03-21T20:22:48.2881727Z   adding 'executorch/exir/backend/test/demos/test_delegate_aten_mode.py'
2025-03-21T20:22:48.2882790Z   adding 'executorch/exir/backend/test/demos/test_xnnpack_qnnpack.py'
2025-03-21T20:22:48.2883955Z   adding 'executorch/exir/backend/test/demos/rpc/executor_backend_partitioner.py'
2025-03-21T20:22:48.2885245Z   adding 'executorch/exir/backend/test/demos/rpc/executor_backend_preprocess.py'
2025-03-21T20:22:48.2886349Z   adding 'executorch/exir/backend/test/demos/rpc/test_rpc.py'
2025-03-21T20:22:48.2887148Z   adding 'executorch/exir/capture/__init__.py'
2025-03-21T20:22:48.2887836Z   adding 'executorch/exir/capture/_capture.py'
2025-03-21T20:22:48.2888521Z   adding 'executorch/exir/capture/_config.py'
2025-03-21T20:22:48.2889209Z   adding 'executorch/exir/capture/_unlift.py'
2025-03-21T20:22:48.2889885Z   adding 'executorch/exir/dialects/__init__.py'
2025-03-21T20:22:48.2890570Z   adding 'executorch/exir/dialects/_ops.py'
2025-03-21T20:22:48.2891267Z   adding 'executorch/exir/dialects/backend/_ops.py'
2025-03-21T20:22:48.2892203Z   adding 'executorch/exir/dialects/backend/test/test_backend_ops.py'
2025-03-21T20:22:48.2893066Z   adding 'executorch/exir/dialects/edge/_ops.py'
2025-03-21T20:22:48.2893781Z   adding 'executorch/exir/dialects/edge/edge.yaml'
2025-03-21T20:22:48.2894514Z   adding 'executorch/exir/dialects/edge/arg/model.py'
2025-03-21T20:22:48.2895268Z   adding 'executorch/exir/dialects/edge/arg/type.py'
2025-03-21T20:22:48.2896042Z   adding 'executorch/exir/dialects/edge/dtype/runner.py'
2025-03-21T20:22:48.2896884Z   adding 'executorch/exir/dialects/edge/dtype/supported.py'
2025-03-21T20:22:48.2897722Z   adding 'executorch/exir/dialects/edge/dtype/utils.py'
2025-03-21T20:22:48.2898489Z   adding 'executorch/exir/dialects/edge/op/api.py'
2025-03-21T20:22:48.2899295Z   adding 'executorch/exir/dialects/edge/op/sample_input.py'
2025-03-21T20:22:48.2900153Z   adding 'executorch/exir/dialects/edge/op/test/test_api.py'
2025-03-21T20:22:48.2900968Z   adding 'executorch/exir/dialects/edge/spec/gen.py'
2025-03-21T20:22:48.2901741Z   adding 'executorch/exir/dialects/edge/spec/utils.py'
2025-03-21T20:22:48.2902920Z   adding 'executorch/exir/dialects/edge/test/test_edge_ops.py'
2025-03-21T20:22:48.2903870Z   adding 'executorch/exir/dialects/edge/test/test_edge_yaml.py'
2025-03-21T20:22:48.2904876Z   adding 'executorch/exir/dialects/test/test_exir_dialect_ops.py'
2025-03-21T20:22:48.2906019Z   adding 'executorch/exir/emit/__init__.py'
2025-03-21T20:22:48.2906698Z   adding 'executorch/exir/emit/_emit_program.py'
2025-03-21T20:22:48.2907368Z   adding 'executorch/exir/emit/_emitter.py'
2025-03-21T20:22:48.2908037Z   adding 'executorch/exir/emit/test/test_emit.py'
2025-03-21T20:22:48.2908752Z   adding 'executorch/exir/operator/convert.py'
2025-03-21T20:22:48.2909434Z   adding 'executorch/exir/operator/manip.py'
2025-03-21T20:22:48.2910086Z   adding 'executorch/exir/operator/util.py'
2025-03-21T20:22:48.2910726Z   adding 'executorch/exir/operator/test/test_operator.py'
2025-03-21T20:22:48.2911532Z   adding 'executorch/exir/passes/__init__.py'
2025-03-21T20:22:48.2912633Z   adding 'executorch/exir/passes/_quant_patterns_and_replacements.py'
2025-03-21T20:22:48.2913772Z   adding 'executorch/exir/passes/const_prop_pass.py'
2025-03-21T20:22:48.2914461Z   adding 'executorch/exir/passes/constant_prop_pass.py'
2025-03-21T20:22:48.2915174Z   adding 'executorch/exir/passes/debug_handle_generator_pass.py'
2025-03-21T20:22:48.2915951Z   adding 'executorch/exir/passes/dim_order_ops_registry.py'
2025-03-21T20:22:48.2916863Z   adding 'executorch/exir/passes/dynamic_shape_prop_pass.py'
2025-03-21T20:22:48.2917828Z   adding 'executorch/exir/passes/executorch_prim_ops_registry.py'
2025-03-21T20:22:48.2918797Z   adding 'executorch/exir/passes/external_constants_pass.py'
2025-03-21T20:22:48.2919642Z   adding 'executorch/exir/passes/init_mutable_pass.py'
2025-03-21T20:22:48.2920602Z   adding 'executorch/exir/passes/insert_write_back_for_buffers_pass.py'
2025-03-21T20:22:48.2921463Z   adding 'executorch/exir/passes/memory_format_ops_pass.py'
2025-03-21T20:22:48.2922247Z   adding 'executorch/exir/passes/memory_planning_pass.py'
2025-03-21T20:22:48.2922983Z   adding 'executorch/exir/passes/normalize_transpose_pass.py'
2025-03-21T20:22:48.2923914Z   adding 'executorch/exir/passes/normalize_view_copy_base_pass.py'
2025-03-21T20:22:48.2924815Z   adding 'executorch/exir/passes/pass_registry.py'
2025-03-21T20:22:48.2925665Z   adding 'executorch/exir/passes/prune_empty_tensors_pass.py'
2025-03-21T20:22:48.2926503Z   adding 'executorch/exir/passes/quant_fusion_pass.py'
2025-03-21T20:22:48.2927192Z   adding 'executorch/exir/passes/quantize_io_pass.py'
2025-03-21T20:22:48.2928001Z   adding 'executorch/exir/passes/remove_graph_asserts_pass.py'
2025-03-21T20:22:48.2928872Z   adding 'executorch/exir/passes/remove_mixed_type_operators.py'
2025-03-21T20:22:48.2929689Z   adding 'executorch/exir/passes/remove_noop_pass.py'
2025-03-21T20:22:48.2930584Z   adding 'executorch/exir/passes/replace_aten_with_edge_pass.py'
2025-03-21T20:22:48.2931740Z   adding 'executorch/exir/passes/replace_broken_ops_with_function_ops_pass.py'
2025-03-21T20:22:48.2932855Z   adding 'executorch/exir/passes/replace_edge_with_backend_pass.py'
2025-03-21T20:22:48.2933769Z   adding 'executorch/exir/passes/replace_sym_size_op_pass.py'
2025-03-21T20:22:48.2934727Z   adding 'executorch/exir/passes/replace_view_copy_with_view_pass.py'
2025-03-21T20:22:48.2935662Z   adding 'executorch/exir/passes/scalar_to_tensor_pass.py'
2025-03-21T20:22:48.2936486Z   adding 'executorch/exir/passes/spec_prop_pass.py'
2025-03-21T20:22:48.2937314Z   adding 'executorch/exir/passes/sym_shape_eval_pass.py'
2025-03-21T20:22:48.2938158Z   adding 'executorch/exir/passes/sym_to_tensor_pass.py'
2025-03-21T20:22:48.9339212Z   adding 'executorch/exir/passes/weights_to_outputs_pass.py'
2025-03-21T20:22:48.9340099Z   adding 'executorch/exir/program/__init__.py'
2025-03-21T20:22:48.9340781Z   adding 'executorch/exir/program/_fake_program.py'
2025-03-21T20:22:48.9341502Z   adding 'executorch/exir/program/_program.py'
2025-03-21T20:22:48.9342286Z   adding 'executorch/exir/program/test/__init__.py'
2025-03-21T20:22:48.9343143Z   adding 'executorch/exir/program/test/test_fake_program.py'
2025-03-21T20:22:48.9344018Z   adding 'executorch/exir/program/test/test_program.py'
2025-03-21T20:22:48.9344765Z   adding 'executorch/exir/serde/__init__.py'
2025-03-21T20:22:48.9345466Z   adding 'executorch/exir/serde/export_serialize.py'
2025-03-21T20:22:48.9346524Z   adding 'executorch/exir/serde/schema.py'
2025-03-21T20:22:48.9347174Z   adding 'executorch/exir/serde/schema_check.py'
2025-03-21T20:22:48.9347956Z   adding 'executorch/exir/serde/serialize.py'
2025-03-21T20:22:48.9348594Z   adding 'executorch/exir/serde/union.py'
2025-03-21T20:22:48.9349233Z   adding 'executorch/exir/serde/upgrade.py'
2025-03-21T20:22:48.9349900Z   adding 'executorch/exir/tests/asr_joiner.py'
2025-03-21T20:22:48.9350592Z   adding 'executorch/exir/tests/common.py'
2025-03-21T20:22:48.9351344Z   adding 'executorch/exir/tests/control_flow_models.py'
2025-03-21T20:22:48.9352450Z   adding 'executorch/exir/tests/dynamic_shape_models.py'
2025-03-21T20:22:48.9353376Z   adding 'executorch/exir/tests/models.py'
2025-03-21T20:22:48.9354074Z   adding 'executorch/exir/tests/test_arg_validator.py'
2025-03-21T20:22:48.9354850Z   adding 'executorch/exir/tests/test_capture.py'
2025-03-21T20:22:48.9355539Z   adding 'executorch/exir/tests/test_common.py'
2025-03-21T20:22:48.9356297Z   adding 'executorch/exir/tests/test_delegate.py'
2025-03-21T20:22:48.9357037Z   adding 'executorch/exir/tests/test_dim_order_utils.py'
2025-03-21T20:22:48.9357909Z   adding 'executorch/exir/tests/test_dynamic_shape_propagation.py'
2025-03-21T20:22:48.9358775Z   adding 'executorch/exir/tests/test_error.py'
2025-03-21T20:22:48.9359487Z   adding 'executorch/exir/tests/test_joint_graph.py'
2025-03-21T20:22:48.9360284Z   adding 'executorch/exir/tests/test_memory_format_ops_pass.py'
2025-03-21T20:22:48.9361329Z   adding 'executorch/exir/tests/test_memory_format_ops_pass_aten.py'
2025-03-21T20:22:48.9362421Z   adding 'executorch/exir/tests/test_memory_format_ops_pass_utils.py'
2025-03-21T20:22:48.9363341Z   adding 'executorch/exir/tests/test_memory_planning.py'
2025-03-21T20:22:48.9364136Z   adding 'executorch/exir/tests/test_op_convert.py'
2025-03-21T20:22:48.9364890Z   adding 'executorch/exir/tests/test_pass_infra.py'
2025-03-21T20:22:48.9365611Z   adding 'executorch/exir/tests/test_passes.py'
2025-03-21T20:22:48.9366412Z   adding 'executorch/exir/tests/test_print_program.py'
2025-03-21T20:22:48.9367289Z   adding 'executorch/exir/tests/test_prune_empty_tensors_pass.py'
2025-03-21T20:22:48.9368214Z   adding 'executorch/exir/tests/test_quant_fusion_pass.py'
2025-03-21T20:22:48.9369015Z   adding 'executorch/exir/tests/test_quantization.py'
2025-03-21T20:22:48.9369819Z   adding 'executorch/exir/tests/test_quantize_io_pass.py'
2025-03-21T20:22:48.9370638Z   adding 'executorch/exir/tests/test_remove_view_copy.py'
2025-03-21T20:22:48.9371416Z   adding 'executorch/exir/tests/test_serde.py'
2025-03-21T20:22:48.9372158Z   adding 'executorch/exir/tests/test_tensor.py'
2025-03-21T20:22:48.9372850Z   adding 'executorch/exir/tests/test_tracer.py'
2025-03-21T20:22:48.9373577Z   adding 'executorch/exir/tests/test_verification.py'
2025-03-21T20:22:48.9374319Z   adding 'executorch/exir/tests/test_warnings.py'
2025-03-21T20:22:48.9375045Z   adding 'executorch/exir/tests/transformer.py'
2025-03-21T20:22:48.9375854Z   adding 'executorch/exir/verification/arg_validator.py'
2025-03-21T20:22:48.9376628Z   adding 'executorch/exir/verification/dev_html.py'
2025-03-21T20:22:48.9377422Z   adding 'executorch/exir/verification/interpreter.py'
2025-03-21T20:22:48.9378200Z   adding 'executorch/exir/verification/verifier.py'
2025-03-21T20:22:48.9379042Z   adding 'executorch/exir/verification/test/test_verifier.py'
2025-03-21T20:22:48.9379949Z   adding 'executorch/extension/android_test/add_model.py'
2025-03-21T20:22:48.9380799Z   adding 'executorch/extension/export_util/__init__.py'
2025-03-21T20:22:48.9381559Z   adding 'executorch/extension/export_util/utils.py'
2025-03-21T20:22:48.9382366Z   adding 'executorch/extension/flat_tensor/__init__.py'
2025-03-21T20:22:48.9383236Z   adding 'executorch/extension/flat_tensor/serialize/__init__.py'
2025-03-21T20:22:48.9384255Z   adding 'executorch/extension/flat_tensor/serialize/flat_tensor.fbs'
2025-03-21T20:22:48.9385373Z   adding 'executorch/extension/flat_tensor/serialize/flat_tensor_schema.py'
2025-03-21T20:22:48.9386738Z   adding 'executorch/extension/flat_tensor/serialize/scalar_type.fbs'
2025-03-21T20:22:48.9387814Z   adding 'executorch/extension/flat_tensor/serialize/serialize.py'
2025-03-21T20:22:48.9388853Z   adding 'executorch/extension/flat_tensor/test/test_serialize.py'
2025-03-21T20:22:48.9389765Z   adding 'executorch/extension/gguf_util/convert_main.py'
2025-03-21T20:22:48.9390588Z   adding 'executorch/extension/gguf_util/converter.py'
2025-03-21T20:22:48.9391381Z   adding 'executorch/extension/gguf_util/load_gguf.py'
2025-03-21T20:22:48.9392328Z   adding 'executorch/extension/gguf_util/converters/llama_converter.py'
2025-03-21T20:22:48.9393683Z   adding 'executorch/extension/llm/custom_ops/__init__.py'
2025-03-21T20:22:48.9394585Z   adding 'executorch/extension/llm/custom_ops/custom_ops.py'
2025-03-21T20:22:48.9395539Z   adding 'executorch/extension/llm/custom_ops/libcustom_ops_aot_lib.so'
2025-03-21T20:22:48.9396593Z   adding 'executorch/extension/llm/custom_ops/model_sharding.py'
2025-03-21T20:22:48.9397585Z   adding 'executorch/extension/llm/custom_ops/op_tile_crop_aot.py'
2025-03-21T20:22:48.9398641Z   adding 'executorch/extension/llm/custom_ops/preprocess_custom_ops.py'
2025-03-21T20:22:48.9399829Z   adding 'executorch/extension/llm/custom_ops/test_preprocess_custom_ops.py'
2025-03-21T20:22:48.9400996Z   adding 'executorch/extension/llm/custom_ops/test_sdpa_with_kv_cache.py'
2025-03-21T20:22:48.9402341Z   adding 'executorch/extension/llm/custom_ops/test_update_cache.py'
2025-03-21T20:22:48.9403468Z   adding 'executorch/extension/llm/custom_ops/spinquant/special_hadamard_code_gen.py'
2025-03-21T20:22:48.9404766Z   adding 'executorch/extension/llm/custom_ops/spinquant/third-party/FFHT/example.py'
2025-03-21T20:22:48.9406055Z   adding 'executorch/extension/llm/custom_ops/spinquant/third-party/FFHT/gen.py'
2025-03-21T20:22:48.9407111Z   adding 'executorch/extension/llm/export/__init__.py'
2025-03-21T20:22:48.9407874Z   adding 'executorch/extension/llm/export/builder.py'
2025-03-21T20:22:48.9408701Z   adding 'executorch/extension/llm/export/export_passes.py'
2025-03-21T20:22:48.9409612Z   adding 'executorch/extension/llm/export/partitioner_lib.py'
2025-03-21T20:22:48.9410480Z   adding 'executorch/extension/llm/export/quantizer_lib.py'
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2025-03-21T20:22:48.9412373Z   adding 'executorch/extension/llm/modules/__init__.py'
2025-03-21T20:22:48.9413314Z   adding 'executorch/extension/llm/modules/_position_embeddings.py'
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2025-03-21T20:22:48.9415125Z   adding 'executorch/extension/llm/modules/kv_cache.py'
2025-03-21T20:22:48.9415971Z   adding 'executorch/extension/llm/modules/test/__init__.py'
2025-03-21T20:22:48.9416922Z   adding 'executorch/extension/llm/modules/test/test_attention.py'
2025-03-21T20:22:48.9417886Z   adding 'executorch/extension/llm/modules/test/test_kv_cache.py'
2025-03-21T20:22:48.9418965Z   adding 'executorch/extension/llm/modules/test/test_position_embeddings.py'
2025-03-21T20:22:48.9419963Z   adding 'executorch/extension/llm/tokenizer/__init__.py'
2025-03-21T20:22:48.9420874Z   adding 'executorch/extension/llm/tokenizer/hf_tokenizer.py'
2025-03-21T20:22:48.9421694Z   adding 'executorch/extension/llm/tokenizer/tokenizer.py'
2025-03-21T20:22:48.9422502Z   adding 'executorch/extension/llm/tokenizer/utils.py'
2025-03-21T20:22:48.9423431Z   adding 'executorch/extension/llm/tokenizer/test/test_tokenizer.py'
2025-03-21T20:22:48.9424345Z   adding 'executorch/extension/llm/tokenizers/setup.py'
2025-03-21T20:22:48.9425337Z   adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/__init__.py'
2025-03-21T20:22:48.9426615Z   adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/hf_tokenizer.py'
2025-03-21T20:22:48.9427900Z   adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/llama2c.py'
2025-03-21T20:22:48.9429114Z   adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/tiktoken.py'
2025-03-21T20:22:48.9430778Z   adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c/__init__.py'
2025-03-21T20:22:48.9432224Z   adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c/convert.py'
2025-03-21T20:22:48.9433717Z   adding 'executorch/extension/llm/tokenizers/tools/llama2c/convert.py'
2025-03-21T20:22:48.9434981Z   adding 'executorch/extension/pybindings/_portable_lib.cpython-310-x86_64-linux-gnu.so'
2025-03-21T20:22:48.9436111Z   adding 'executorch/extension/pybindings/portable_lib.py'
2025-03-21T20:22:48.9436981Z   adding 'executorch/extension/pybindings/pybindings.pyi'
2025-03-21T20:22:48.9438151Z   adding 'executorch/extension/pybindings/test/make_test.py'
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2025-03-21T20:22:48.9440341Z   adding 'executorch/extension/pybindings/test/test_pybindings.py'
2025-03-21T20:22:48.9441245Z   adding 'executorch/extension/pytree/__init__.py'
2025-03-21T20:22:48.9442011Z   adding 'executorch/extension/pytree/test/test.py'
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2025-03-21T20:22:48.9443678Z   adding 'executorch/extension/training/examples/XOR/export_model.py'
2025-03-21T20:22:48.9444693Z   adding 'executorch/extension/training/examples/XOR/model.py'
2025-03-21T20:22:48.9445736Z   adding 'executorch/extension/training/examples/XOR/test/test_export.py'
2025-03-21T20:22:48.9446831Z   adding 'executorch/extension/training/pybindings/_training_lib.pyi'
2025-03-21T20:22:48.9447914Z   adding 'executorch/extension/training/pybindings/_training_module.py'
2025-03-21T20:22:48.9448960Z   adding 'executorch/extension/training/pybindings/test/test.py'
2025-03-21T20:22:48.9450263Z   adding 'executorch/include/executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h'
2025-03-21T20:22:48.9451708Z   adding 'executorch/include/executorch/extension/kernel_util/meta_programming.h'
2025-03-21T20:22:48.9452942Z   adding 'executorch/include/executorch/extension/kernel_util/type_list.h'
2025-03-21T20:22:48.9454004Z   adding 'executorch/include/executorch/extension/tensor/tensor.h'
2025-03-21T20:22:48.9455132Z   adding 'executorch/include/executorch/extension/tensor/tensor_accessor.h'
2025-03-21T20:22:48.9456320Z   adding 'executorch/include/executorch/extension/tensor/tensor_ptr.h'
2025-03-21T20:22:48.9457424Z   adding 'executorch/include/executorch/extension/tensor/tensor_ptr_maker.h'
2025-03-21T20:22:48.9458635Z   adding 'executorch/include/executorch/extension/threadpool/cpuinfo_utils.h'
2025-03-21T20:22:48.9459821Z   adding 'executorch/include/executorch/extension/threadpool/threadpool.h'
2025-03-21T20:22:48.9461068Z   adding 'executorch/include/executorch/extension/threadpool/threadpool_guard.h'
2025-03-21T20:22:48.9462236Z   adding 'executorch/include/executorch/runtime/core/array_ref.h'
2025-03-21T20:22:48.9463269Z   adding 'executorch/include/executorch/runtime/core/data_loader.h'
2025-03-21T20:22:52.3555110Z   adding 'executorch/include/executorch/runtime/core/defines.h'
2025-03-21T20:22:52.3556032Z   adding 'executorch/include/executorch/runtime/core/error.h'
2025-03-21T20:22:52.3556660Z   adding 'executorch/include/executorch/runtime/core/evalue.h'
2025-03-21T20:22:52.3557211Z   adding 'executorch/include/executorch/runtime/core/event_tracer.h'
2025-03-21T20:22:52.3558089Z   adding 'executorch/include/executorch/runtime/core/event_tracer_hooks.h'
2025-03-21T20:22:52.3558852Z   adding 'executorch/include/executorch/runtime/core/event_tracer_hooks_delegate.h'
2025-03-21T20:22:52.3559754Z   adding 'executorch/include/executorch/runtime/core/freeable_buffer.h'
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2025-03-21T20:22:52.3561257Z   adding 'executorch/include/executorch/runtime/core/memory_allocator.h'
2025-03-21T20:22:52.3561928Z   adding 'executorch/include/executorch/runtime/core/named_data_map.h'
2025-03-21T20:22:52.3562622Z   adding 'executorch/include/executorch/runtime/core/result.h'
2025-03-21T20:22:52.3563551Z   adding 'executorch/include/executorch/runtime/core/span.h'
2025-03-21T20:22:52.3564156Z   adding 'executorch/include/executorch/runtime/core/tag.h'
2025-03-21T20:22:52.3564808Z   adding 'executorch/include/executorch/runtime/core/tensor_layout.h'
2025-03-21T20:22:52.3565539Z   adding 'executorch/include/executorch/runtime/core/tensor_shape_dynamism.h'
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2025-03-21T20:22:52.3567220Z   adding 'executorch/include/executorch/runtime/core/exec_aten/testing_util/tensor_factory.h'
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2025-03-21T20:22:52.3574336Z   adding 'executorch/include/executorch/runtime/core/portable_type/bfloat16_math.h'
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2025-03-21T20:22:52.3576700Z   adding 'executorch/include/executorch/runtime/core/portable_type/device.h'
2025-03-21T20:22:52.3577408Z   adding 'executorch/include/executorch/runtime/core/portable_type/half.h'
2025-03-21T20:22:52.3578203Z   adding 'executorch/include/executorch/runtime/core/portable_type/optional.h'
2025-03-21T20:22:52.3579020Z   adding 'executorch/include/executorch/runtime/core/portable_type/qint_types.h'
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2025-03-21T20:22:52.3581425Z   adding 'executorch/include/executorch/runtime/core/portable_type/string_view.h'
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2025-03-21T20:22:52.3583785Z   adding 'executorch/include/executorch/runtime/core/portable_type/tensor_options.h'
2025-03-21T20:22:52.3584655Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/macros/Export.h'
2025-03-21T20:22:52.3585628Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/macros/Macros.h'
2025-03-21T20:22:52.3586720Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/BFloat16-inl.h'
2025-03-21T20:22:52.3587768Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/BFloat16-math.h'
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2025-03-21T20:22:52.3589606Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h'
2025-03-21T20:22:52.3590515Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/Half.h'
2025-03-21T20:22:52.3591410Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/TypeSafeSignMath.h'
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2025-03-21T20:22:52.3593641Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/floating_point_utils.h'
2025-03-21T20:22:52.3594917Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/irange.h'
2025-03-21T20:22:52.3595763Z   adding 'executorch/include/executorch/runtime/kernel/kernel_includes.h'
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2025-03-21T20:22:52.3597441Z   adding 'executorch/include/executorch/runtime/kernel/operator_registry.h'
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2025-03-21T20:22:52.3605386Z   adding 'executorch/include/executorch/runtime/platform/profiler.h'
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2025-03-21T20:22:52.3609360Z   adding 'executorch/kernels/quantized/__init__.py'
2025-03-21T20:22:52.3610181Z   adding 'executorch/kernels/quantized/libquantized_ops_aot_lib.so'
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2025-03-21T20:22:52.3611606Z   adding 'executorch/kernels/quantized/test/supported_features_def.yaml'
2025-03-21T20:22:52.3612401Z   adding 'executorch/kernels/quantized/test/test_out_variants.py'
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2025-03-21T20:22:52.3615673Z   adding 'executorch/schema/program.fbs'
2025-03-21T20:22:52.3616240Z   adding 'executorch/schema/scalar_type.fbs'
2025-03-21T20:22:52.3616783Z   adding 'executorch/share/cmake/executorch-config.cmake'
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2025-03-21T20:22:52.3618667Z   adding 'executorch/util/python_profiler.py'
2025-03-21T20:22:52.3619205Z   adding 'executorch-0.6.0a0+be92d7d.dist-info/LICENSE'
2025-03-21T20:22:52.3619926Z   adding 'executorch-0.6.0a0+be92d7d.dist-info/METADATA'
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2025-03-21T20:22:52.3622683Z   adding 'executorch-0.6.0a0+be92d7d.dist-info/RECORD'
2025-03-21T20:22:52.3623195Z   removing pip-out/bdist.linux-x86_64/wheel
2025-03-21T20:22:52.3624131Z   Building wheel for executorch (pyproject.toml) ... [?25l[?25hdone
2025-03-21T20:22:52.3625714Z   Created wheel for executorch: filename=executorch-0.6.0a0+be92d7d-cp310-cp310-linux_x86_64.whl size=8476066 sha256=abb6860b07baeaaeea4f36f271b2bb0067231e0b4219e611341b349d2a1fc6e7
2025-03-21T20:22:52.3627671Z   Stored in directory: /tmp/pip-ephem-wheel-cache-lt5pcvm9/wheels/9e/f0/2b/6a778c77421b91e006bef425e288a1e5c7c35b04c51317756b
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2025-03-21T20:22:52.3630140Z Installing collected packages: flatbuffers, tabulate, pytest, execnet, pytest-xdist, pytest-rerunfailures, executorch
2025-03-21T20:22:52.3631177Z   changing mode of /opt/conda/envs/py_3.10/bin/tabulate to 755
2025-03-21T20:22:52.3631707Z   Attempting uninstall: pytest
2025-03-21T20:22:52.3632162Z     Found existing installation: pytest 7.2.0
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2025-03-21T20:22:52.3641964Z   changing mode of /opt/conda/envs/py_3.10/bin/flatc to 755
2025-03-21T20:22:52.3643151Z 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
2025-03-21T20:22:52.3644268Z + pip list
2025-03-21T20:22:52.3644714Z Package                       Version            Editable project location
2025-03-21T20:22:56.1044141Z ----------------------------- ------------------ -----------------------------------
2025-03-21T20:22:56.1044869Z alabaster                     0.7.16
2025-03-21T20:22:56.1045347Z attrs                         25.3.0
2025-03-21T20:22:56.1045968Z babel                         2.17.0
2025-03-21T20:22:56.1046297Z beautifulsoup4                4.13.3
2025-03-21T20:22:56.1046609Z breathe                       4.34.0
2025-03-21T20:22:56.1046924Z bs4                           0.0.2
2025-03-21T20:22:56.1047238Z certifi                       2025.1.31
2025-03-21T20:22:56.1047579Z charset-normalizer            3.4.1
2025-03-21T20:22:56.1047938Z cmake                         3.31.6
2025-03-21T20:22:56.1048242Z contourpy                     1.3.1
2025-03-21T20:22:56.1048559Z coverage                      7.7.0
2025-03-21T20:22:56.1048870Z cycler                        0.12.1
2025-03-21T20:22:56.1049186Z docutils                      0.16
2025-03-21T20:22:56.1049520Z exceptiongroup                1.2.2
2025-03-21T20:22:56.1049829Z execnet                       2.1.1
2025-03-21T20:22:56.1050165Z executorch                    0.6.0a0+be92d7d
2025-03-21T20:22:56.1050525Z exhale                        0.2.3
2025-03-21T20:22:56.1050838Z expecttest                    0.1.6
2025-03-21T20:22:56.1051154Z filelock                      3.18.0
2025-03-21T20:22:56.1051467Z flatbuffers                   25.2.10
2025-03-21T20:22:56.1051788Z fonttools                     4.56.0
2025-03-21T20:22:56.1052107Z fsspec                        2025.3.0
2025-03-21T20:22:56.1052437Z huggingface-hub               0.29.3
2025-03-21T20:22:56.1052768Z hypothesis                    6.84.2
2025-03-21T20:22:56.1053072Z idna                          3.10
2025-03-21T20:22:56.1053387Z imagesize                     1.4.1
2025-03-21T20:22:56.1053700Z iniconfig                     2.1.0
2025-03-21T20:22:56.1054013Z Jinja2                        3.1.6
2025-03-21T20:22:56.1054326Z kiwisolver                    1.4.8
2025-03-21T20:22:56.1054943Z lxml                          5.3.1
2025-03-21T20:22:56.1055277Z markdown-it-py                2.2.0
2025-03-21T20:22:56.1055604Z MarkupSafe                    3.0.2
2025-03-21T20:22:56.1055925Z matplotlib                    3.10.1
2025-03-21T20:22:56.1056258Z mdit-py-plugins               0.3.5
2025-03-21T20:22:56.1056566Z mdurl                         0.1.2
2025-03-21T20:22:56.1056875Z mpmath                        1.3.0
2025-03-21T20:22:56.1057191Z myst-parser                   0.18.1
2025-03-21T20:22:56.1057514Z networkx                      3.4.2
2025-03-21T20:22:56.1057829Z numpy                         2.2.4
2025-03-21T20:22:56.1058236Z nvidia-cublas-cu12            12.1.3.1
2025-03-21T20:22:56.1058590Z nvidia-cuda-cupti-cu12        12.1.105
2025-03-21T20:22:56.1058948Z nvidia-cuda-nvrtc-cu12        12.1.105
2025-03-21T20:22:56.1059312Z nvidia-cuda-runtime-cu12      12.1.105
2025-03-21T20:22:56.1059668Z nvidia-cudnn-cu12             9.1.0.70
2025-03-21T20:22:56.1060004Z nvidia-cufft-cu12             11.0.2.54
2025-03-21T20:22:56.1060362Z nvidia-curand-cu12            10.3.2.106
2025-03-21T20:22:56.1060720Z nvidia-cusolver-cu12          11.4.5.107
2025-03-21T20:22:56.1061080Z nvidia-cusparse-cu12          12.1.0.106
2025-03-21T20:22:56.1061425Z nvidia-nccl-cu12              2.20.5
2025-03-21T20:22:56.1061770Z nvidia-nvjitlink-cu12         12.8.93
2025-03-21T20:22:56.1062118Z nvidia-nvtx-cu12              12.1.105
2025-03-21T20:22:56.1062455Z packaging                     24.2
2025-03-21T20:22:56.1062775Z pandas                        2.2.3
2025-03-21T20:22:56.1063107Z parameterized                 0.9.0
2025-03-21T20:22:56.1063424Z pillow                        11.1.0
2025-03-21T20:22:56.1063746Z pip                           25.0
2025-03-21T20:22:56.1064064Z pluggy                        1.5.0
2025-03-21T20:22:56.1064386Z Pygments                      2.19.1
2025-03-21T20:22:56.1064713Z pyparsing                     3.2.1
2025-03-21T20:22:56.1065021Z pytest                        8.3.5
2025-03-21T20:22:56.1065353Z pytest-cov                    4.1.0
2025-03-21T20:22:56.1065689Z pytest-rerunfailures          15.0
2025-03-21T20:22:56.1066031Z pytest-xdist                  3.6.1
2025-03-21T20:22:56.1066377Z python-dateutil               2.9.0.post0
2025-03-21T20:22:56.1066850Z pytorch_sphinx_theme          0.0.24             /opt/conda/src/pytorch-sphinx-theme
2025-03-21T20:22:56.1067332Z pytz                          2025.1
2025-03-21T20:22:56.1067651Z PyYAML                        6.0.1
2025-03-21T20:22:56.1067968Z regex                         2024.11.6
2025-03-21T20:22:56.1068377Z requests                      2.32.3
2025-03-21T20:22:56.1068809Z ruamel.yaml                   0.17.32
2025-03-21T20:22:56.1069149Z ruamel.yaml.clib              0.2.12
2025-03-21T20:22:56.1069483Z safetensors                   0.5.3
2025-03-21T20:22:56.1069802Z setuptools                    75.8.0
2025-03-21T20:22:56.1070118Z six                           1.17.0
2025-03-21T20:22:56.1070430Z snowballstemmer               2.2.0
2025-03-21T20:22:56.1070760Z sortedcontainers              2.4.0
2025-03-21T20:22:56.1071086Z soupsieve                     2.6
2025-03-21T20:22:56.1071398Z Sphinx                        5.3.0
2025-03-21T20:22:56.1071727Z sphinx-copybutton             0.5.0
2025-03-21T20:22:56.1072050Z sphinx_design                 0.4.1
2025-03-21T20:22:56.1072370Z sphinx-gallery                0.14.0
2025-03-21T20:22:56.1072719Z sphinxcontrib-applehelp       2.0.0
2025-03-21T20:22:56.1073188Z sphinxcontrib-devhelp         2.0.0
2025-03-21T20:22:56.1073536Z sphinxcontrib-htmlhelp        2.1.0
2025-03-21T20:22:56.1073874Z sphinxcontrib-jsmath          1.0.1
2025-03-21T20:22:56.1074221Z sphinxcontrib-qthelp          2.0.0
2025-03-21T20:22:56.1074575Z sphinxcontrib-serializinghtml 2.0.0
2025-03-21T20:22:56.1074920Z sympy                         1.13.3
2025-03-21T20:22:56.1075233Z tabulate                      0.9.0
2025-03-21T20:22:56.1075531Z timm                          1.0.7
2025-03-21T20:22:56.1075969Z tokenizers                    0.21.1
2025-03-21T20:22:56.1085901Z tomli                         2.0.1
2025-03-21T20:22:56.1086456Z torch                         2.7.0a0+git295f2ed
2025-03-21T20:22:56.1086835Z torchao                       0.10.0+git64bcf4c
2025-03-21T20:22:56.1087226Z torchaudio                    2.6.0a0+c670ad8
2025-03-21T20:22:56.1087584Z torchsr                       1.0.4
2025-03-21T20:22:56.1087931Z torchvision                   0.19.0a0+d23a6e1
2025-03-21T20:22:56.1088288Z tqdm                          4.67.1
2025-03-21T20:22:56.1088602Z transformers                  4.47.1
2025-03-21T20:22:56.1089071Z triton                        3.0.0
2025-03-21T20:22:56.1089396Z typing_extensions             4.12.2
2025-03-21T20:22:56.1089721Z tzdata                        2025.1
2025-03-21T20:22:56.1090043Z urllib3                       2.3.0
2025-03-21T20:22:56.1090343Z wheel                         0.45.1
2025-03-21T20:22:56.1090659Z zstd                          1.5.5.1
2025-03-21T20:22:56.1091012Z + build_executorch_runner cmake Release
2025-03-21T20:22:56.1091356Z + [[ cmake == \b\u\c\k\2 ]]
2025-03-21T20:22:56.1091648Z + [[ cmake == \c\m\a\k\e ]]
2025-03-21T20:22:56.1091945Z + build_executorch_runner_cmake Release
2025-03-21T20:22:56.1092294Z + CMAKE_OUTPUT_DIR=cmake-out
2025-03-21T20:22:56.1092616Z + clean_executorch_install_folders
2025-03-21T20:22:56.1092963Z + ./install_executorch.sh --clean
2025-03-21T20:22:56.1093297Z Cleaning build artifacts...
2025-03-21T20:22:56.1093589Z Cleaning pip-out/...
2025-03-21T20:22:56.1093884Z Done cleaning build artifacts.
2025-03-21T20:22:56.1094193Z + mkdir cmake-out
2025-03-21T20:22:56.1094456Z + pushd cmake-out
2025-03-21T20:22:56.1094760Z /pytorch/executorch/cmake-out /pytorch/executorch
2025-03-21T20:22:56.1095152Z + [[ Release == \D\e\b\u\g ]]
2025-03-21T20:22:56.1095450Z + CXXFLAGS=
2025-03-21T20:22:56.1095682Z + CXXFLAGS=
2025-03-21T20:22:56.1096040Z + retry cmake -DPYTHON_EXECUTABLE=python -DCMAKE_BUILD_TYPE=Release ..
2025-03-21T20:22:56.1096614Z + cmake -DPYTHON_EXECUTABLE=python -DCMAKE_BUILD_TYPE=Release ..
2025-03-21T20:22:56.1097095Z -- The C compiler identification is Clang 12.0.1
2025-03-21T20:22:56.1097516Z -- The CXX compiler identification is Clang 12.0.1
2025-03-21T20:22:56.1097912Z -- Detecting C compiler ABI info
2025-03-21T20:22:56.1098253Z -- Detecting C compiler ABI info - done
2025-03-21T20:22:56.1098665Z -- Check for working C compiler: /opt/cache/bin/cc - skipped
2025-03-21T20:22:56.1099086Z -- Detecting C compile features
2025-03-21T20:22:56.1099416Z -- Detecting C compile features - done
2025-03-21T20:22:56.1099766Z -- Detecting CXX compiler ABI info
2025-03-21T20:22:56.1100119Z -- Detecting CXX compiler ABI info - done
2025-03-21T20:22:56.1100543Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped
2025-03-21T20:22:56.1100984Z -- Detecting CXX compile features
2025-03-21T20:22:56.1101328Z -- Detecting CXX compile features - done
2025-03-21T20:22:56.1102738Z CMake Deprecation Warning at backends/xnnpack/third-party/FXdiv/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2025-03-21T20:22:56.1103728Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:22:56.1104175Z   CMake.
2025-03-21T20:22:56.1104318Z 
2025-03-21T20:22:56.1104564Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:22:56.1105170Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:22:56.1105698Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:22:56.1105973Z 
2025-03-21T20:22:56.1106116Z 
2025-03-21T20:22:56.1106788Z CMake Deprecation Warning at backends/xnnpack/third-party/cpuinfo/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2025-03-21T20:22:56.1107572Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:22:56.1108031Z   CMake.
2025-03-21T20:22:56.1108170Z 
2025-03-21T20:22:56.1108412Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:22:56.1109187Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:22:56.1109716Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:22:56.1109991Z 
2025-03-21T20:22:56.1110121Z 
2025-03-21T20:22:56.1110369Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD
2025-03-21T20:22:56.1110817Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success
2025-03-21T20:22:56.1111202Z -- Found Threads: TRUE
2025-03-21T20:22:56.1111943Z CMake Deprecation Warning at backends/xnnpack/third-party/pthreadpool/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2025-03-21T20:22:56.1112859Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:22:56.1113419Z   CMake.
2025-03-21T20:22:56.1113566Z 
2025-03-21T20:22:56.1113808Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:22:56.1114420Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:22:56.1114958Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:22:56.1115234Z 
2025-03-21T20:22:56.1115371Z 
2025-03-21T20:22:56.1115629Z -- Using python executable 'python'
2025-03-21T20:22:56.1115956Z -- Resolved buck2 as buck2.
2025-03-21T20:22:56.1116256Z -- Killing buck2 daemon
2025-03-21T20:22:56.1116529Z 'buck2 killall'
2025-03-21T20:22:56.1116808Z -- executorch: Generating source lists
2025-03-21T20:22:56.1117361Z -- executorch: Generating source file list /pytorch/executorch/cmake-out/executorch_srcs.cmake
2025-03-21T20:22:56.1118103Z -- executorch: Using sources file /pytorch/executorch/cmake-out/executorch_srcs.cmake
2025-03-21T20:22:56.1118652Z -- executorch: Using PAL default 'posix'
2025-03-21T20:22:56.1119014Z -- Generating operator lib:
2025-03-21T20:22:56.1119324Z --   LIB_NAME: portable_ops_lib
2025-03-21T20:22:56.1119764Z --   OPS_SCHEMA_YAML: /pytorch/executorch/kernels/portable/functions.yaml
2025-03-21T20:22:56.1120213Z --   ROOT_OPS: 
2025-03-21T20:22:56.1120469Z --   INCLUDE_ALL_OPS: 
2025-03-21T20:22:56.1121810Z 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"
2025-03-21T20:22:56.1123020Z -- Generating kernel bindings:
2025-03-21T20:22:56.1123338Z --   LIB_NAME: portable_ops_lib
2025-03-21T20:22:56.1123780Z --   FUNCTIONS_YAML: /pytorch/executorch/kernels/portable/functions.yaml
2025-03-21T20:22:56.1124242Z --   CUSTOM_OPS_YAML: 
2025-03-21T20:22:56.1124540Z --   ADD_EXCEPTION_BOUNDARY: FALSE
2025-03-21T20:22:56.1126353Z 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
2025-03-21T20:22:56.1127947Z -- Generating operator lib:
2025-03-21T20:22:56.1128260Z --   LIB_NAME: portable_ops_lib
2025-03-21T20:22:56.1128591Z --   KERNEL_LIBS: portable_kernels
2025-03-21T20:22:56.1128900Z --   DEPS: executorch
2025-03-21T20:22:56.1129510Z CMake Deprecation Warning at third-party/gflags/CMakeLists.txt:73 (cmake_minimum_required):
2025-03-21T20:22:56.1130223Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:22:56.1130688Z   CMake.
2025-03-21T20:22:56.1130816Z 
2025-03-21T20:22:56.1131078Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:22:58.5578115Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:22:58.5579190Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:22:58.5579695Z 
2025-03-21T20:22:58.5580115Z 
2025-03-21T20:22:58.5580532Z -- Looking for C++ include unistd.h
2025-03-21T20:22:58.5581189Z -- Looking for C++ include unistd.h - found
2025-03-21T20:22:58.5581846Z -- Looking for C++ include stdint.h
2025-03-21T20:22:58.5582808Z -- Looking for C++ include stdint.h - found
2025-03-21T20:22:58.5583463Z -- Looking for C++ include inttypes.h
2025-03-21T20:22:58.5584116Z -- Looking for C++ include inttypes.h - found
2025-03-21T20:22:58.5584791Z -- Looking for C++ include sys/types.h
2025-03-21T20:22:58.5585465Z -- Looking for C++ include sys/types.h - found
2025-03-21T20:22:58.5586144Z -- Looking for C++ include sys/stat.h
2025-03-21T20:22:58.5586809Z -- Looking for C++ include sys/stat.h - found
2025-03-21T20:22:58.5587480Z -- Looking for C++ include fnmatch.h
2025-03-21T20:22:58.5588121Z -- Looking for C++ include fnmatch.h - found
2025-03-21T20:22:58.5588763Z -- Looking for C++ include stddef.h
2025-03-21T20:22:58.5589651Z -- Looking for C++ include stddef.h - found
2025-03-21T20:22:58.5590291Z -- Check size of uint32_t
2025-03-21T20:22:58.5590822Z -- Check size of uint32_t - done
2025-03-21T20:22:58.5591377Z -- Looking for strtoll
2025-03-21T20:22:58.5591865Z -- Looking for strtoll - found
2025-03-21T20:22:58.5592387Z -- 
2025-03-21T20:22:58.5592795Z -- ******** Summary ********
2025-03-21T20:22:58.5593486Z --   CMAKE_BUILD_TYPE              : Release
2025-03-21T20:22:58.5594145Z --   CMAKE_CXX_STANDARD            : 17
2025-03-21T20:22:58.5594748Z --   CMAKE_CXX_COMPILER_ID         : Clang
2025-03-21T20:22:58.5595386Z --   CMAKE_TOOLCHAIN_FILE          : 
2025-03-21T20:22:58.5595998Z --   BUCK2                         : buck2
2025-03-21T20:22:58.5596634Z --   PYTHON_EXECUTABLE             : python
2025-03-21T20:22:58.5597640Z --   FLATC_EXECUTABLE              : /pytorch/executorch/cmake-out/third-party/flatbuffers/flatc
2025-03-21T20:22:58.5598706Z --   EXECUTORCH_ENABLE_LOGGING              : OFF
2025-03-21T20:22:58.5599473Z --   EXECUTORCH_ENABLE_PROGRAM_VERIFICATION : OFF
2025-03-21T20:22:58.5600216Z --   EXECUTORCH_LOG_LEVEL                   : Info
2025-03-21T20:22:58.5600953Z --   EXECUTORCH_BUILD_ANDROID_JNI           : OFF
2025-03-21T20:22:58.5601701Z --   EXECUTORCH_BUILD_ARM_BAREMETAL         : OFF
2025-03-21T20:22:58.5602675Z --   EXECUTORCH_BUILD_CADENCE               : OFF
2025-03-21T20:22:58.5603384Z --   EXECUTORCH_BUILD_COREML                : OFF
2025-03-21T20:22:58.5604094Z --   EXECUTORCH_BUILD_CPUINFO               : ON
2025-03-21T20:22:58.5604822Z --   EXECUTORCH_BUILD_DEVTOOLS              : OFF
2025-03-21T20:22:58.5605557Z --   EXECUTORCH_BUILD_EXECUTOR_RUNNER       : ON
2025-03-21T20:22:58.5606302Z --   EXECUTORCH_BUILD_EXTENSION_DATA_LOADER : OFF
2025-03-21T20:22:58.5607005Z --   EXECUTORCH_BUILD_EXTENSION_FLAT_TENSOR : OFF
2025-03-21T20:22:58.5607686Z --   EXECUTORCH_BUILD_EXTENSION_LLM : OFF
2025-03-21T20:22:58.5608358Z --   EXECUTORCH_BUILD_EXTENSION_MODULE      : OFF
2025-03-21T20:22:58.5609108Z --   EXECUTORCH_BUILD_EXTENSION_RUNNER_UTIL : OFF
2025-03-21T20:22:58.5609873Z --   EXECUTORCH_BUILD_EXTENSION_TENSOR      : OFF
2025-03-21T20:22:58.5610631Z --   EXECUTORCH_BUILD_EXTENSION_TRAINING    : OFF
2025-03-21T20:22:58.5611325Z --   EXECUTORCH_BUILD_FLATC                 : ON
2025-03-21T20:22:58.5612007Z --   EXECUTORCH_BUILD_GFLAGS                : ON
2025-03-21T20:22:58.5612717Z --   EXECUTORCH_BUILD_HOST_TARGETS          : ON
2025-03-21T20:22:58.5613455Z --   EXECUTORCH_BUILD_KERNELS_CUSTOM        : OFF
2025-03-21T20:22:58.5614218Z --   EXECUTORCH_BUILD_KERNELS_CUSTOM_AOT    : OFF
2025-03-21T20:22:58.5614969Z --   EXECUTORCH_BUILD_KERNELS_OPTIMIZED     : OFF
2025-03-21T20:22:58.5615634Z --   EXECUTORCH_BUILD_KERNELS_QUANTIZED     : OFF
2025-03-21T20:22:58.5616347Z --   EXECUTORCH_BUILD_MPS                   : OFF
2025-03-21T20:22:58.5617070Z --   EXECUTORCH_BUILD_NEURON                : OFF
2025-03-21T20:22:58.5617789Z --   EXECUTORCH_BUILD_PTHREADPOOL           : ON
2025-03-21T20:22:58.5618527Z --   EXECUTORCH_BUILD_PYBIND                : OFF
2025-03-21T20:22:58.5619232Z --   EXECUTORCH_BUILD_QNN                   : OFF
2025-03-21T20:22:58.5619905Z --   EXECUTORCH_BUILD_SIZE_TEST             : OFF
2025-03-21T20:22:58.5620612Z --   EXECUTORCH_BUILD_TESTS                 : OFF
2025-03-21T20:22:58.5621278Z --   EXECUTORCH_BUILD_VULKAN                : OFF
2025-03-21T20:22:58.5622268Z --   EXECUTORCH_BUILD_XNNPACK               : OFF
2025-03-21T20:22:58.5622916Z -- Configuring done (5.1s)
2025-03-21T20:22:58.5623451Z -- Generating done (0.1s)
2025-03-21T20:22:58.5624177Z -- Build files have been written to: /pytorch/executorch/cmake-out
2025-03-21T20:22:58.5624965Z + popd
2025-03-21T20:22:58.5625368Z /pytorch/executorch
2025-03-21T20:22:58.5625802Z ++ uname
2025-03-21T20:22:58.5626225Z + '[' Linux == Darwin ']'
2025-03-21T20:22:58.5626715Z ++ nproc
2025-03-21T20:22:58.5627117Z + CMAKE_JOBS=7
2025-03-21T20:22:58.5627584Z + cmake --build cmake-out -j 7
2025-03-21T20:22:58.5628718Z [  0%] Creating directories for 'flatbuffers'
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2025-03-21T20:22:58.5645135Z CMake Warning:
2025-03-21T20:22:58.5645747Z   Ignoring empty string ("") provided on the command line.
2025-03-21T20:22:58.5646348Z 
2025-03-21T20:22:58.5646548Z 
2025-03-21T20:22:58.5647036Z fatal: No names found, cannot describe anything.
2025-03-21T20:22:58.5647961Z CMake Warning at CMake/Version.cmake:32 (message):
2025-03-21T20:22:58.5648713Z   git describe failed with exit code: 128
2025-03-21T20:22:58.5649181Z 
2025-03-21T20:22:58.5649516Z   Make sure you cloned with tags or run 'git fetch --tags'.
2025-03-21T20:22:58.5650299Z Call Stack (most recent call first):
2025-03-21T20:22:58.5650918Z   CMakeLists.txt:5 (include)
2025-03-21T20:22:58.5651280Z 
2025-03-21T20:22:58.5651503Z 
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2025-03-21T20:23:46.8733661Z [ 99%] Built target portable_ops_lib
2025-03-21T20:23:46.8734943Z [ 99%] Building CXX object CMakeFiles/executor_runner.dir/extension/data_loader/file_data_loader.cpp.o
2025-03-21T20:23:46.8737042Z [ 99%] Building CXX object CMakeFiles/executor_runner.dir/examples/portable/executor_runner/executor_runner.cpp.o
2025-03-21T20:23:46.8739108Z [ 99%] Building CXX object CMakeFiles/executor_runner.dir/extension/evalue_util/print_evalue.cpp.o
2025-03-21T20:23:46.8740986Z [100%] Building CXX object CMakeFiles/executor_runner.dir/extension/runner_util/inputs.cpp.o
2025-03-21T20:23:46.8742947Z [100%] Building CXX object CMakeFiles/executor_runner.dir/runtime/executor/test/test_backend_compiler_lib.cpp.o
2025-03-21T20:23:46.8745015Z [100%] Building CXX object CMakeFiles/executor_runner.dir/extension/runner_util/inputs_portable.cpp.o
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2025-03-21T20:23:46.8747125Z [100%] Built target executor_runner
2025-03-21T20:23:46.8747720Z + [[ '' == *main* ]]
2025-03-21T20:23:46.8748161Z + [[ '' == *gh* ]]
2025-03-21T20:23:46.8748652Z + PYTHON_EXECUTABLE=python
2025-03-21T20:23:46.8749365Z + bash .ci/scripts/test_model.sh mobilebert cmake portable
2025-03-21T20:23:46.8750325Z ++ dirname .ci/scripts/test_model.sh
2025-03-21T20:23:46.8750915Z + source .ci/scripts/utils.sh
2025-03-21T20:23:46.8751467Z + MODEL_NAME=mobilebert
2025-03-21T20:23:46.8751979Z + [[ -z mobilebert ]]
2025-03-21T20:23:46.8752449Z + BUILD_TOOL=cmake
2025-03-21T20:23:46.8752955Z + [[ -z cmake ]]
2025-03-21T20:23:46.8753383Z + BACKEND=portable
2025-03-21T20:23:46.8753840Z + [[ -z portable ]]
2025-03-21T20:23:46.8754312Z + UPLOAD_DIR=
2025-03-21T20:23:46.8754755Z + [[ -z python ]]
2025-03-21T20:23:46.8755176Z + which python
2025-03-21T20:23:46.8755634Z /opt/conda/envs/py_3.10/bin/python
2025-03-21T20:23:46.8756245Z + CMAKE_OUTPUT_DIR=cmake-out
2025-03-21T20:23:46.8756815Z + EXPORTED_MODEL=mobilebert
2025-03-21T20:23:46.8757390Z + [[ portable == \p\o\r\t\a\b\l\e ]]
2025-03-21T20:23:46.8758106Z + echo 'Testing mobilebert with portable kernels...'
2025-03-21T20:23:46.8758900Z Testing mobilebert with portable kernels...
2025-03-21T20:23:46.8759784Z + test_model
2025-03-21T20:23:46.8760234Z + [[ mobilebert == \l\l\a\m\a\2 ]]
2025-03-21T20:23:46.8760824Z + STRICT=--strict
2025-03-21T20:23:46.8761311Z + [[ mobilebert == \l\l\a\v\a ]]
2025-03-21T20:23:46.8762049Z + [[ mobilebert == \l\l\a\m\a\3\_\2\_\v\i\s\i\o\n\_\e\n\c\o\d\e\r ]]
2025-03-21T20:23:46.8762880Z + [[ mobilebert == \l\l\a\m\a\3\_\2\_\t\e\x\t\_\d\e\c\o\d\e\r ]]
2025-03-21T20:23:46.8763659Z + [[ mobilebert == \q\w\e\n\2\_\5 ]]
2025-03-21T20:23:46.8764292Z + [[ mobilebert == \p\h\i\-\4\-\m\i\n\i ]]
2025-03-21T20:23:46.8765275Z + python -m examples.portable.scripts.export --model_name=mobilebert --strict
2025-03-21T20:23:46.8766582Z [INFO 2025-03-21 20:23:21,544 model.py:21] loading mobilebert model
2025-03-21T20:23:46.8767185Z 
2025-03-21T20:23:46.8767412Z config.json:   0% 0.00/847 [00:00<?, ?B/s]
2025-03-21T20:23:46.8768119Z config.json: 100% 847/847 [00:00<00:00, 7.26MB/s]
2025-03-21T20:23:46.8768611Z 
2025-03-21T20:23:46.8768873Z pytorch_model.bin:   0% 0.00/147M [00:00<?, ?B/s]
2025-03-21T20:23:46.8769690Z pytorch_model.bin:  14% 21.0M/147M [00:00<00:00, 180MB/s]
2025-03-21T20:23:46.8770549Z pytorch_model.bin:  36% 52.4M/147M [00:00<00:00, 224MB/s]
2025-03-21T20:23:46.8771416Z pytorch_model.bin:  57% 83.9M/147M [00:00<00:00, 233MB/s]
2025-03-21T20:23:46.8772262Z pytorch_model.bin:  79% 115M/147M [00:00<00:00, 232MB/s] 
2025-03-21T20:23:46.8773117Z pytorch_model.bin: 100% 147M/147M [00:00<00:00, 234MB/s]
2025-03-21T20:23:46.8773957Z pytorch_model.bin: 100% 147M/147M [00:00<00:00, 228MB/s]
2025-03-21T20:23:46.8774799Z [INFO 2025-03-21 20:23:23,236 model.py:26] loaded mobilebert model
2025-03-21T20:23:46.8775406Z 
2025-03-21T20:23:46.8775640Z vocab.txt:   0% 0.00/232k [00:00<?, ?B/s]
2025-03-21T20:23:46.8776308Z vocab.txt: 100% 232k/232k [00:00<00:00, 39.5MB/s]
2025-03-21T20:23:46.8776793Z 
2025-03-21T20:23:46.8777042Z tokenizer.json:   0% 0.00/466k [00:00<?, ?B/s]
2025-03-21T20:23:46.8777814Z tokenizer.json: 100% 466k/466k [00:00<00:00, 10.6MB/s]
2025-03-21T20:23:46.8778369Z 
2025-03-21T20:23:46.8778621Z model.safetensors:   0% 0.00/147M [00:00<?, ?B/s]
2025-03-21T20:23:46.8779435Z model.safetensors:  14% 21.0M/147M [00:00<00:00, 198MB/s]
2025-03-21T20:23:46.8780306Z model.safetensors:  36% 52.4M/147M [00:00<00:00, 226MB/s]
2025-03-21T20:23:46.8781158Z model.safetensors:  57% 83.9M/147M [00:00<00:00, 231MB/s]
2025-03-21T20:23:46.8782024Z model.safetensors:  79% 115M/147M [00:00<00:00, 234MB/s] 
2025-03-21T20:23:46.8782875Z model.safetensors: 100% 147M/147M [00:00<00:00, 230MB/s]
2025-03-21T20:23:46.8783736Z model.safetensors: 100% 147M/147M [00:00<00:00, 227MB/s]
2025-03-21T20:23:46.8786623Z /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.)
2025-03-21T20:23:46.8789473Z   torch._C._set_onednn_allow_tf32(_allow_tf32)
2025-03-21T20:23:46.8792294Z /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.)
2025-03-21T20:23:46.8795205Z   torch._C._set_onednn_allow_tf32(_allow_tf32)
2025-03-21T20:23:46.8798684Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/_unlift.py:81: UserWarning: Attempted to insert a get_attr Node with no underlying reference in the owning GraphModule! Call GraphModule.add_submodule to add the necessary submodule, GraphModule.add_parameter to add the necessary Parameter, or nn.Module.register_buffer to add the necessary buffer
2025-03-21T20:23:46.8802304Z   getattr_node = gm.graph.get_attr(lifted_node)
2025-03-21T20:23:46.8805230Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py:1769: UserWarning: Node encoder_layer_0_lifted_tensor_0 target encoder.layer.0.lifted_tensor_0 lifted_tensor_0 of encoder.layer.0 does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target
2025-03-21T20:23:46.8808258Z   warnings.warn(
2025-03-21T20:23:46.8810986Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py:1769: UserWarning: Node encoder_layer_1_lifted_tensor_1 target encoder.layer.1.lifted_tensor_1 lifted_tensor_1 of encoder.layer.1 does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target
2025-03-21T20:23:46.8813810Z   warnings.warn(
2025-03-21T20:23:46.8816685Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py:1769: UserWarning: Node encoder_layer_2_lifted_tensor_2 target encoder.layer.2.lifted_tensor_2 lifted_tensor_2 of encoder.layer.2 does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target
2025-03-21T20:23:46.8819548Z   warnings.warn(
2025-03-21T20:23:46.8822251Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py:1769: UserWarning: Node encoder_layer_3_lifted_tensor_3 target encoder.layer.3.lifted_tensor_3 lifted_tensor_3 of encoder.layer.3 does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target
2025-03-21T20:23:46.8824607Z   warnings.warn(
2025-03-21T20:23:46.8825959Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py:1769: UserWarning: Node encoder_layer_4_lifted_tensor_4 target encoder.layer.4.lifted_tensor_4 lifted_tensor_4 of encoder.layer.4 does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target
2025-03-21T20:23:46.8827354Z   warnings.warn(
2025-03-21T20:23:46.8828095Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py:1778: UserWarning: Additional 19 warnings suppressed about get_attr references
2025-03-21T20:23:46.8828918Z   warnings.warn(
2025-03-21T20:23:46.8830255Z /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.)
2025-03-21T20:23:46.8832091Z   torch._C._set_onednn_allow_tf32(_allow_tf32)
2025-03-21T20:23:46.8834329Z /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.)
2025-03-21T20:23:46.8835749Z   torch._C._set_onednn_allow_tf32(_allow_tf32)
2025-03-21T20:23:46.8836183Z [INFO 2025-03-21 20:23:46,869 utils.py:50] Core ATen graph:
2025-03-21T20:23:46.8836559Z graph():
2025-03-21T20:23:46.8837024Z     %p_embeddings_layernorm_bias : [num_users=1] = placeholder[target=p_embeddings_layernorm_bias]
2025-03-21T20:23:46.8837803Z     %p_embeddings_layernorm_weight : [num_users=1] = placeholder[target=p_embeddings_layernorm_weight]
2025-03-21T20:23:46.8838903Z     %p_getattr_l__self___encoder_layer___0___attention_output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___0___attention_output_layernorm_bias]
2025-03-21T20:23:46.8840310Z     %p_getattr_l__self___encoder_layer___0___attention_output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___0___attention_output_layernorm_weight]
2025-03-21T20:23:46.8841639Z     %p_getattr_l__self___encoder_layer___0___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___0___output_layernorm_bias]
2025-03-21T20:23:46.8842886Z     %p_getattr_l__self___encoder_layer___0___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___0___output_layernorm_weight]
2025-03-21T20:23:46.8844207Z     %p_getattr_l__self___encoder_layer___0___output_bottleneck_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___0___output_bottleneck_layernorm_bias]
2025-03-21T20:23:46.8845758Z     %p_getattr_l__self___encoder_layer___0___output_bottleneck_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___0___output_bottleneck_layernorm_weight]
2025-03-21T20:23:46.8847178Z     %p_getattr_l__self___encoder_layer___0___bottleneck_input_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___0___bottleneck_input_layernorm_bias]
2025-03-21T20:23:46.8848650Z     %p_getattr_l__self___encoder_layer___0___bottleneck_input_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___0___bottleneck_input_layernorm_weight]
2025-03-21T20:23:46.8850084Z     %p_getattr_l__self___encoder_layer___0___bottleneck_attention_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___0___bottleneck_attention_layernorm_bias]
2025-03-21T20:23:46.8851566Z     %p_getattr_l__self___encoder_layer___0___bottleneck_attention_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___0___bottleneck_attention_layernorm_weight]
2025-03-21T20:23:46.8853050Z     %p_getattr_getattr_l__self___encoder_layer___0___ffn___0___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___0___ffn___0___output_layernorm_bias]
2025-03-21T20:23:46.8854529Z     %p_getattr_getattr_l__self___encoder_layer___0___ffn___0___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___0___ffn___0___output_layernorm_weight]
2025-03-21T20:23:46.8856019Z     %p_getattr_getattr_l__self___encoder_layer___0___ffn___1___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___0___ffn___1___output_layernorm_bias]
2025-03-21T20:23:46.8857507Z     %p_getattr_getattr_l__self___encoder_layer___0___ffn___1___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___0___ffn___1___output_layernorm_weight]
2025-03-21T20:23:46.8859008Z     %p_getattr_getattr_l__self___encoder_layer___0___ffn___2___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___0___ffn___2___output_layernorm_bias]
2025-03-21T20:23:46.8860495Z     %p_getattr_getattr_l__self___encoder_layer___0___ffn___2___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___0___ffn___2___output_layernorm_weight]
2025-03-21T20:23:46.8861935Z     %p_getattr_l__self___encoder_layer___1___attention_output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___1___attention_output_layernorm_bias]
2025-03-21T20:23:46.8863338Z     %p_getattr_l__self___encoder_layer___1___attention_output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___1___attention_output_layernorm_weight]
2025-03-21T20:23:46.8864662Z     %p_getattr_l__self___encoder_layer___1___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___1___output_layernorm_bias]
2025-03-21T20:23:46.8865899Z     %p_getattr_l__self___encoder_layer___1___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___1___output_layernorm_weight]
2025-03-21T20:23:46.8867231Z     %p_getattr_l__self___encoder_layer___1___output_bottleneck_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___1___output_bottleneck_layernorm_bias]
2025-03-21T20:23:46.8868660Z     %p_getattr_l__self___encoder_layer___1___output_bottleneck_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___1___output_bottleneck_layernorm_weight]
2025-03-21T20:23:46.8870079Z     %p_getattr_l__self___encoder_layer___1___bottleneck_input_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___1___bottleneck_input_layernorm_bias]
2025-03-21T20:23:46.8871565Z     %p_getattr_l__self___encoder_layer___1___bottleneck_input_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___1___bottleneck_input_layernorm_weight]
2025-03-21T20:23:46.8873093Z     %p_getattr_l__self___encoder_layer___1___bottleneck_attention_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___1___bottleneck_attention_layernorm_bias]
2025-03-21T20:23:46.8874636Z     %p_getattr_l__self___encoder_layer___1___bottleneck_attention_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___1___bottleneck_attention_layernorm_weight]
2025-03-21T20:23:46.8876118Z     %p_getattr_getattr_l__self___encoder_layer___1___ffn___0___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___1___ffn___0___output_layernorm_bias]
2025-03-21T20:23:46.8877603Z     %p_getattr_getattr_l__self___encoder_layer___1___ffn___0___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___1___ffn___0___output_layernorm_weight]
2025-03-21T20:23:46.8879099Z     %p_getattr_getattr_l__self___encoder_layer___1___ffn___1___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___1___ffn___1___output_layernorm_bias]
2025-03-21T20:23:46.8880583Z     %p_getattr_getattr_l__self___encoder_layer___1___ffn___1___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___1___ffn___1___output_layernorm_weight]
2025-03-21T20:23:46.8882062Z     %p_getattr_getattr_l__self___encoder_layer___1___ffn___2___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___1___ffn___2___output_layernorm_bias]
2025-03-21T20:23:46.8883548Z     %p_getattr_getattr_l__self___encoder_layer___1___ffn___2___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___1___ffn___2___output_layernorm_weight]
2025-03-21T20:23:46.8884997Z     %p_getattr_l__self___encoder_layer___2___attention_output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___2___attention_output_layernorm_bias]
2025-03-21T20:23:46.8886399Z     %p_getattr_l__self___encoder_layer___2___attention_output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___2___attention_output_layernorm_weight]
2025-03-21T20:23:46.8887731Z     %p_getattr_l__self___encoder_layer___2___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___2___output_layernorm_bias]
2025-03-21T20:23:46.8888967Z     %p_getattr_l__self___encoder_layer___2___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___2___output_layernorm_weight]
2025-03-21T20:23:46.8890297Z     %p_getattr_l__self___encoder_layer___2___output_bottleneck_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___2___output_bottleneck_layernorm_bias]
2025-03-21T20:23:46.8891726Z     %p_getattr_l__self___encoder_layer___2___output_bottleneck_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___2___output_bottleneck_layernorm_weight]
2025-03-21T20:23:46.8893135Z     %p_getattr_l__self___encoder_layer___2___bottleneck_input_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___2___bottleneck_input_layernorm_bias]
2025-03-21T20:23:46.8894530Z     %p_getattr_l__self___encoder_layer___2___bottleneck_input_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___2___bottleneck_input_layernorm_weight]
2025-03-21T20:23:46.8895976Z     %p_getattr_l__self___encoder_layer___2___bottleneck_attention_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___2___bottleneck_attention_layernorm_bias]
2025-03-21T20:23:46.8897442Z     %p_getattr_l__self___encoder_layer___2___bottleneck_attention_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___2___bottleneck_attention_layernorm_weight]
2025-03-21T20:23:46.8898976Z     %p_getattr_getattr_l__self___encoder_layer___2___ffn___0___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___2___ffn___0___output_layernorm_bias]
2025-03-21T20:23:46.8900458Z     %p_getattr_getattr_l__self___encoder_layer___2___ffn___0___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___2___ffn___0___output_layernorm_weight]
2025-03-21T20:23:46.8901996Z     %p_getattr_getattr_l__self___encoder_layer___2___ffn___1___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___2___ffn___1___output_layernorm_bias]
2025-03-21T20:23:46.8903778Z     %p_getattr_getattr_l__self___encoder_layer___2___ffn___1___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___2___ffn___1___output_layernorm_weight]
2025-03-21T20:23:46.8905262Z     %p_getattr_getattr_l__self___encoder_layer___2___ffn___2___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___2___ffn___2___output_layernorm_bias]
2025-03-21T20:23:46.8906744Z     %p_getattr_getattr_l__self___encoder_layer___2___ffn___2___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___2___ffn___2___output_layernorm_weight]
2025-03-21T20:23:46.8908190Z     %p_getattr_l__self___encoder_layer___3___attention_output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___3___attention_output_layernorm_bias]
2025-03-21T20:23:46.8909590Z     %p_getattr_l__self___encoder_layer___3___attention_output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___3___attention_output_layernorm_weight]
2025-03-21T20:23:46.8910910Z     %p_getattr_l__self___encoder_layer___3___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___3___output_layernorm_bias]
2025-03-21T20:23:46.8912127Z     %p_getattr_l__self___encoder_layer___3___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___3___output_layernorm_weight]
2025-03-21T20:23:46.8913540Z     %p_getattr_l__self___encoder_layer___3___output_bottleneck_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___3___output_bottleneck_layernorm_bias]
2025-03-21T20:23:46.8914960Z     %p_getattr_l__self___encoder_layer___3___output_bottleneck_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___3___output_bottleneck_layernorm_weight]
2025-03-21T20:23:46.8916360Z     %p_getattr_l__self___encoder_layer___3___bottleneck_input_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___3___bottleneck_input_layernorm_bias]
2025-03-21T20:23:46.8917759Z     %p_getattr_l__self___encoder_layer___3___bottleneck_input_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___3___bottleneck_input_layernorm_weight]
2025-03-21T20:23:46.8919195Z     %p_getattr_l__self___encoder_layer___3___bottleneck_attention_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___3___bottleneck_attention_layernorm_bias]
2025-03-21T20:23:46.8920670Z     %p_getattr_l__self___encoder_layer___3___bottleneck_attention_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___3___bottleneck_attention_layernorm_weight]
2025-03-21T20:23:46.8922144Z     %p_getattr_getattr_l__self___encoder_layer___3___ffn___0___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___3___ffn___0___output_layernorm_bias]
2025-03-21T20:23:46.8923623Z     %p_getattr_getattr_l__self___encoder_layer___3___ffn___0___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___3___ffn___0___output_layernorm_weight]
2025-03-21T20:23:46.8925257Z     %p_getattr_getattr_l__self___encoder_layer___3___ffn___1___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___3___ffn___1___output_layernorm_bias]
2025-03-21T20:23:46.8926746Z     %p_getattr_getattr_l__self___encoder_layer___3___ffn___1___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___3___ffn___1___output_layernorm_weight]
2025-03-21T20:23:46.8928286Z     %p_getattr_getattr_l__self___encoder_layer___3___ffn___2___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___3___ffn___2___output_layernorm_bias]
2025-03-21T20:23:46.8929768Z     %p_getattr_getattr_l__self___encoder_layer___3___ffn___2___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___3___ffn___2___output_layernorm_weight]
2025-03-21T20:23:46.8931213Z     %p_getattr_l__self___encoder_layer___4___attention_output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___4___attention_output_layernorm_bias]
2025-03-21T20:23:46.8932618Z     %p_getattr_l__self___encoder_layer___4___attention_output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___4___attention_output_layernorm_weight]
2025-03-21T20:23:46.8933940Z     %p_getattr_l__self___encoder_layer___4___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___4___output_layernorm_bias]
2025-03-21T20:23:46.8935178Z     %p_getattr_l__self___encoder_layer___4___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___4___output_layernorm_weight]
2025-03-21T20:23:46.8936515Z     %p_getattr_l__self___encoder_layer___4___output_bottleneck_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___4___output_bottleneck_layernorm_bias]
2025-03-21T20:23:46.8937943Z     %p_getattr_l__self___encoder_layer___4___output_bottleneck_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___4___output_bottleneck_layernorm_weight]
2025-03-21T20:23:46.8939352Z     %p_getattr_l__self___encoder_layer___4___bottleneck_input_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___4___bottleneck_input_layernorm_bias]
2025-03-21T20:23:46.8940759Z     %p_getattr_l__self___encoder_layer___4___bottleneck_input_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___4___bottleneck_input_layernorm_weight]
2025-03-21T20:23:46.8942183Z     %p_getattr_l__self___encoder_layer___4___bottleneck_attention_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___4___bottleneck_attention_layernorm_bias]
2025-03-21T20:23:46.8943647Z     %p_getattr_l__self___encoder_layer___4___bottleneck_attention_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___4___bottleneck_attention_layernorm_weight]
2025-03-21T20:23:46.8945104Z     %p_getattr_getattr_l__self___encoder_layer___4___ffn___0___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___4___ffn___0___output_layernorm_bias]
2025-03-21T20:23:46.8946587Z     %p_getattr_getattr_l__self___encoder_layer___4___ffn___0___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___4___ffn___0___output_layernorm_weight]
2025-03-21T20:23:46.8948075Z     %p_getattr_getattr_l__self___encoder_layer___4___ffn___1___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___4___ffn___1___output_layernorm_bias]
2025-03-21T20:23:46.8949553Z     %p_getattr_getattr_l__self___encoder_layer___4___ffn___1___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___4___ffn___1___output_layernorm_weight]
2025-03-21T20:23:46.8951089Z     %p_getattr_getattr_l__self___encoder_layer___4___ffn___2___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___4___ffn___2___output_layernorm_bias]
2025-03-21T20:23:46.8952575Z     %p_getattr_getattr_l__self___encoder_layer___4___ffn___2___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___4___ffn___2___output_layernorm_weight]
2025-03-21T20:23:46.8954178Z     %p_getattr_l__self___encoder_layer___5___attention_output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___5___attention_output_layernorm_bias]
2025-03-21T20:23:46.8955578Z     %p_getattr_l__self___encoder_layer___5___attention_output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___5___attention_output_layernorm_weight]
2025-03-21T20:23:46.8956902Z     %p_getattr_l__self___encoder_layer___5___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___5___output_layernorm_bias]
2025-03-21T20:23:46.8958142Z     %p_getattr_l__self___encoder_layer___5___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___5___output_layernorm_weight]
2025-03-21T20:23:46.8959465Z     %p_getattr_l__self___encoder_layer___5___output_bottleneck_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___5___output_bottleneck_layernorm_bias]
2025-03-21T20:23:46.8960870Z     %p_getattr_l__self___encoder_layer___5___output_bottleneck_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___5___output_bottleneck_layernorm_weight]
2025-03-21T20:23:46.8962278Z     %p_getattr_l__self___encoder_layer___5___bottleneck_input_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___5___bottleneck_input_layernorm_bias]
2025-03-21T20:23:46.8963678Z     %p_getattr_l__self___encoder_layer___5___bottleneck_input_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___5___bottleneck_input_layernorm_weight]
2025-03-21T20:23:46.8965119Z     %p_getattr_l__self___encoder_layer___5___bottleneck_attention_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___5___bottleneck_attention_layernorm_bias]
2025-03-21T20:23:46.8966595Z     %p_getattr_l__self___encoder_layer___5___bottleneck_attention_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___5___bottleneck_attention_layernorm_weight]
2025-03-21T20:23:46.8968071Z     %p_getattr_getattr_l__self___encoder_layer___5___ffn___0___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___5___ffn___0___output_layernorm_bias]
2025-03-21T20:23:46.8969555Z     %p_getattr_getattr_l__self___encoder_layer___5___ffn___0___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___5___ffn___0___output_layernorm_weight]
2025-03-21T20:23:46.8971042Z     %p_getattr_getattr_l__self___encoder_layer___5___ffn___1___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___5___ffn___1___output_layernorm_bias]
2025-03-21T20:23:46.8972529Z     %p_getattr_getattr_l__self___encoder_layer___5___ffn___1___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___5___ffn___1___output_layernorm_weight]
2025-03-21T20:23:46.8974017Z     %p_getattr_getattr_l__self___encoder_layer___5___ffn___2___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___5___ffn___2___output_layernorm_bias]
2025-03-21T20:23:46.8975502Z     %p_getattr_getattr_l__self___encoder_layer___5___ffn___2___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___5___ffn___2___output_layernorm_weight]
2025-03-21T20:23:46.8977005Z     %p_getattr_l__self___encoder_layer___6___attention_output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___6___attention_output_layernorm_bias]
2025-03-21T20:23:46.8978383Z     %p_getattr_l__self___encoder_layer___6___attention_output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___6___attention_output_layernorm_weight]
2025-03-21T20:23:46.8979704Z     %p_getattr_l__self___encoder_layer___6___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___6___output_layernorm_bias]
2025-03-21T20:23:46.8980992Z     %p_getattr_l__self___encoder_layer___6___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___6___output_layernorm_weight]
2025-03-21T20:23:46.8982316Z     %p_getattr_l__self___encoder_layer___6___output_bottleneck_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___6___output_bottleneck_layernorm_bias]
2025-03-21T20:23:46.8983737Z     %p_getattr_l__self___encoder_layer___6___output_bottleneck_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___6___output_bottleneck_layernorm_weight]
2025-03-21T20:23:46.8985153Z     %p_getattr_l__self___encoder_layer___6___bottleneck_input_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___6___bottleneck_input_layernorm_bias]
2025-03-21T20:23:46.8986547Z     %p_getattr_l__self___encoder_layer___6___bottleneck_input_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___6___bottleneck_input_layernorm_weight]
2025-03-21T20:23:46.8987994Z     %p_getattr_l__self___encoder_layer___6___bottleneck_attention_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___6___bottleneck_attention_layernorm_bias]
2025-03-21T20:23:46.8989474Z     %p_getattr_l__self___encoder_layer___6___bottleneck_attention_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___6___bottleneck_attention_layernorm_weight]
2025-03-21T20:23:46.8990965Z     %p_getattr_getattr_l__self___encoder_layer___6___ffn___0___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___6___ffn___0___output_layernorm_bias]
2025-03-21T20:23:46.8992456Z     %p_getattr_getattr_l__self___encoder_layer___6___ffn___0___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___6___ffn___0___output_layernorm_weight]
2025-03-21T20:23:46.8994038Z     %p_getattr_getattr_l__self___encoder_layer___6___ffn___1___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___6___ffn___1___output_layernorm_bias]
2025-03-21T20:23:46.8995511Z     %p_getattr_getattr_l__self___encoder_layer___6___ffn___1___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___6___ffn___1___output_layernorm_weight]
2025-03-21T20:23:46.8997002Z     %p_getattr_getattr_l__self___encoder_layer___6___ffn___2___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___6___ffn___2___output_layernorm_bias]
2025-03-21T20:23:46.8998483Z     %p_getattr_getattr_l__self___encoder_layer___6___ffn___2___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___6___ffn___2___output_layernorm_weight]
2025-03-21T20:23:46.8999932Z     %p_getattr_l__self___encoder_layer___7___attention_output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___7___attention_output_layernorm_bias]
2025-03-21T20:23:46.9001343Z     %p_getattr_l__self___encoder_layer___7___attention_output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___7___attention_output_layernorm_weight]
2025-03-21T20:23:46.9002881Z     %p_getattr_l__self___encoder_layer___7___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___7___output_layernorm_bias]
2025-03-21T20:23:46.9004244Z     %p_getattr_l__self___encoder_layer___7___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___7___output_layernorm_weight]
2025-03-21T20:23:46.9005573Z     %p_getattr_l__self___encoder_layer___7___output_bottleneck_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___7___output_bottleneck_layernorm_bias]
2025-03-21T20:23:46.9007067Z     %p_getattr_l__self___encoder_layer___7___output_bottleneck_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___7___output_bottleneck_layernorm_weight]
2025-03-21T20:23:46.9008476Z     %p_getattr_l__self___encoder_layer___7___bottleneck_input_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___7___bottleneck_input_layernorm_bias]
2025-03-21T20:23:46.9009878Z     %p_getattr_l__self___encoder_layer___7___bottleneck_input_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___7___bottleneck_input_layernorm_weight]
2025-03-21T20:23:46.9011307Z     %p_getattr_l__self___encoder_layer___7___bottleneck_attention_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___7___bottleneck_attention_layernorm_bias]
2025-03-21T20:23:46.9012792Z     %p_getattr_l__self___encoder_layer___7___bottleneck_attention_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___7___bottleneck_attention_layernorm_weight]
2025-03-21T20:23:46.9014264Z     %p_getattr_getattr_l__self___encoder_layer___7___ffn___0___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___7___ffn___0___output_layernorm_bias]
2025-03-21T20:23:46.9015751Z     %p_getattr_getattr_l__self___encoder_layer___7___ffn___0___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___7___ffn___0___output_layernorm_weight]
2025-03-21T20:23:46.9017236Z     %p_getattr_getattr_l__self___encoder_layer___7___ffn___1___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___7___ffn___1___output_layernorm_bias]
2025-03-21T20:23:46.9018718Z     %p_getattr_getattr_l__self___encoder_layer___7___ffn___1___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___7___ffn___1___output_layernorm_weight]
2025-03-21T20:23:46.9020203Z     %p_getattr_getattr_l__self___encoder_layer___7___ffn___2___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___7___ffn___2___output_layernorm_bias]
2025-03-21T20:23:46.9021689Z     %p_getattr_getattr_l__self___encoder_layer___7___ffn___2___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___7___ffn___2___output_layernorm_weight]
2025-03-21T20:23:46.9023122Z     %p_getattr_l__self___encoder_layer___8___attention_output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___8___attention_output_layernorm_bias]
2025-03-21T20:23:46.9024527Z     %p_getattr_l__self___encoder_layer___8___attention_output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___8___attention_output_layernorm_weight]
2025-03-21T20:23:46.9025849Z     %p_getattr_l__self___encoder_layer___8___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___8___output_layernorm_bias]
2025-03-21T20:23:46.9027087Z     %p_getattr_l__self___encoder_layer___8___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___8___output_layernorm_weight]
2025-03-21T20:23:46.9028402Z     %p_getattr_l__self___encoder_layer___8___output_bottleneck_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___8___output_bottleneck_layernorm_bias]
2025-03-21T20:23:46.9029817Z     %p_getattr_l__self___encoder_layer___8___output_bottleneck_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___8___output_bottleneck_layernorm_weight]
2025-03-21T20:23:46.9031288Z     %p_getattr_l__self___encoder_layer___8___bottleneck_input_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___8___bottleneck_input_layernorm_bias]
2025-03-21T20:23:46.9032704Z     %p_getattr_l__self___encoder_layer___8___bottleneck_input_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___8___bottleneck_input_layernorm_weight]
2025-03-21T20:23:46.9034289Z     %p_getattr_l__self___encoder_layer___8___bottleneck_attention_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___8___bottleneck_attention_layernorm_bias]
2025-03-21T20:23:46.9035769Z     %p_getattr_l__self___encoder_layer___8___bottleneck_attention_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___8___bottleneck_attention_layernorm_weight]
2025-03-21T20:23:46.9037256Z     %p_getattr_getattr_l__self___encoder_layer___8___ffn___0___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___8___ffn___0___output_layernorm_bias]
2025-03-21T20:23:46.9038734Z     %p_getattr_getattr_l__self___encoder_layer___8___ffn___0___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___8___ffn___0___output_layernorm_weight]
2025-03-21T20:23:46.9040225Z     %p_getattr_getattr_l__self___encoder_layer___8___ffn___1___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___8___ffn___1___output_layernorm_bias]
2025-03-21T20:23:46.9041699Z     %p_getattr_getattr_l__self___encoder_layer___8___ffn___1___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___8___ffn___1___output_layernorm_weight]
2025-03-21T20:23:46.9043178Z     %p_getattr_getattr_l__self___encoder_layer___8___ffn___2___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___8___ffn___2___output_layernorm_bias]
2025-03-21T20:23:46.9044671Z     %p_getattr_getattr_l__self___encoder_layer___8___ffn___2___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___8___ffn___2___output_layernorm_weight]
2025-03-21T20:23:46.9046095Z     %p_getattr_l__self___encoder_layer___9___attention_output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___9___attention_output_layernorm_bias]
2025-03-21T20:23:46.9047497Z     %p_getattr_l__self___encoder_layer___9___attention_output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___9___attention_output_layernorm_weight]
2025-03-21T20:23:46.9048816Z     %p_getattr_l__self___encoder_layer___9___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___9___output_layernorm_bias]
2025-03-21T20:23:46.9050048Z     %p_getattr_l__self___encoder_layer___9___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___9___output_layernorm_weight]
2025-03-21T20:23:46.9051375Z     %p_getattr_l__self___encoder_layer___9___output_bottleneck_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___9___output_bottleneck_layernorm_bias]
2025-03-21T20:23:46.9052787Z     %p_getattr_l__self___encoder_layer___9___output_bottleneck_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___9___output_bottleneck_layernorm_weight]
2025-03-21T20:23:46.9054212Z     %p_getattr_l__self___encoder_layer___9___bottleneck_input_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___9___bottleneck_input_layernorm_bias]
2025-03-21T20:23:46.9055613Z     %p_getattr_l__self___encoder_layer___9___bottleneck_input_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___9___bottleneck_input_layernorm_weight]
2025-03-21T20:23:46.9057112Z     %p_getattr_l__self___encoder_layer___9___bottleneck_attention_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___9___bottleneck_attention_layernorm_bias]
2025-03-21T20:23:46.9058585Z     %p_getattr_l__self___encoder_layer___9___bottleneck_attention_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___9___bottleneck_attention_layernorm_weight]
2025-03-21T20:23:46.9060142Z     %p_getattr_getattr_l__self___encoder_layer___9___ffn___0___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___9___ffn___0___output_layernorm_bias]
2025-03-21T20:23:46.9061612Z     %p_getattr_getattr_l__self___encoder_layer___9___ffn___0___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___9___ffn___0___output_layernorm_weight]
2025-03-21T20:23:46.9063095Z     %p_getattr_getattr_l__self___encoder_layer___9___ffn___1___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___9___ffn___1___output_layernorm_bias]
2025-03-21T20:23:46.9064570Z     %p_getattr_getattr_l__self___encoder_layer___9___ffn___1___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___9___ffn___1___output_layernorm_weight]
2025-03-21T20:23:46.9066058Z     %p_getattr_getattr_l__self___encoder_layer___9___ffn___2___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___9___ffn___2___output_layernorm_bias]
2025-03-21T20:23:46.9067539Z     %p_getattr_getattr_l__self___encoder_layer___9___ffn___2___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___9___ffn___2___output_layernorm_weight]
2025-03-21T20:23:46.9068977Z     %p_getattr_l__self___encoder_layer___10___attention_output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___10___attention_output_layernorm_bias]
2025-03-21T20:23:46.9070391Z     %p_getattr_l__self___encoder_layer___10___attention_output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___10___attention_output_layernorm_weight]
2025-03-21T20:23:46.9071723Z     %p_getattr_l__self___encoder_layer___10___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___10___output_layernorm_bias]
2025-03-21T20:23:46.9073062Z     %p_getattr_l__self___encoder_layer___10___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___10___output_layernorm_weight]
2025-03-21T20:23:46.9074408Z     %p_getattr_l__self___encoder_layer___10___output_bottleneck_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___10___output_bottleneck_layernorm_bias]
2025-03-21T20:23:46.9075845Z     %p_getattr_l__self___encoder_layer___10___output_bottleneck_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___10___output_bottleneck_layernorm_weight]
2025-03-21T20:23:46.9077266Z     %p_getattr_l__self___encoder_layer___10___bottleneck_input_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___10___bottleneck_input_layernorm_bias]
2025-03-21T20:23:46.9078664Z     %p_getattr_l__self___encoder_layer___10___bottleneck_input_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___10___bottleneck_input_layernorm_weight]
2025-03-21T20:23:46.9080116Z     %p_getattr_l__self___encoder_layer___10___bottleneck_attention_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___10___bottleneck_attention_layernorm_bias]
2025-03-21T20:23:46.9081595Z     %p_getattr_l__self___encoder_layer___10___bottleneck_attention_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___10___bottleneck_attention_layernorm_weight]
2025-03-21T20:23:46.9083145Z     %p_getattr_getattr_l__self___encoder_layer___10___ffn___0___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___10___ffn___0___output_layernorm_bias]
2025-03-21T20:23:46.9084639Z     %p_getattr_getattr_l__self___encoder_layer___10___ffn___0___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___10___ffn___0___output_layernorm_weight]
2025-03-21T20:23:46.9086183Z     %p_getattr_getattr_l__self___encoder_layer___10___ffn___1___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___10___ffn___1___output_layernorm_bias]
2025-03-21T20:23:46.9087677Z     %p_getattr_getattr_l__self___encoder_layer___10___ffn___1___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___10___ffn___1___output_layernorm_weight]
2025-03-21T20:23:46.9089173Z     %p_getattr_getattr_l__self___encoder_layer___10___ffn___2___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___10___ffn___2___output_layernorm_bias]
2025-03-21T20:23:46.9090663Z     %p_getattr_getattr_l__self___encoder_layer___10___ffn___2___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___10___ffn___2___output_layernorm_weight]
2025-03-21T20:23:46.9092126Z     %p_getattr_l__self___encoder_layer___11___attention_output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___11___attention_output_layernorm_bias]
2025-03-21T20:23:46.9093548Z     %p_getattr_l__self___encoder_layer___11___attention_output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___11___attention_output_layernorm_weight]
2025-03-21T20:23:46.9094875Z     %p_getattr_l__self___encoder_layer___11___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___11___output_layernorm_bias]
2025-03-21T20:23:46.9096115Z     %p_getattr_l__self___encoder_layer___11___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___11___output_layernorm_weight]
2025-03-21T20:23:46.9097452Z     %p_getattr_l__self___encoder_layer___11___output_bottleneck_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___11___output_bottleneck_layernorm_bias]
2025-03-21T20:23:46.9098888Z     %p_getattr_l__self___encoder_layer___11___output_bottleneck_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___11___output_bottleneck_layernorm_weight]
2025-03-21T20:23:46.9100312Z     %p_getattr_l__self___encoder_layer___11___bottleneck_input_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___11___bottleneck_input_layernorm_bias]
2025-03-21T20:23:46.9101726Z     %p_getattr_l__self___encoder_layer___11___bottleneck_input_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___11___bottleneck_input_layernorm_weight]
2025-03-21T20:23:46.9103395Z     %p_getattr_l__self___encoder_layer___11___bottleneck_attention_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___11___bottleneck_attention_layernorm_bias]
2025-03-21T20:23:46.9104876Z     %p_getattr_l__self___encoder_layer___11___bottleneck_attention_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___11___bottleneck_attention_layernorm_weight]
2025-03-21T20:23:46.9106365Z     %p_getattr_getattr_l__self___encoder_layer___11___ffn___0___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___11___ffn___0___output_layernorm_bias]
2025-03-21T20:23:46.9107860Z     %p_getattr_getattr_l__self___encoder_layer___11___ffn___0___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___11___ffn___0___output_layernorm_weight]
2025-03-21T20:23:46.9109484Z     %p_getattr_getattr_l__self___encoder_layer___11___ffn___1___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___11___ffn___1___output_layernorm_bias]
2025-03-21T20:23:46.9110977Z     %p_getattr_getattr_l__self___encoder_layer___11___ffn___1___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___11___ffn___1___output_layernorm_weight]
2025-03-21T20:23:46.9113059Z     %p_getattr_getattr_l__self___encoder_layer___11___ffn___2___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___11___ffn___2___output_layernorm_bias]
2025-03-21T20:23:46.9114570Z     %p_getattr_getattr_l__self___encoder_layer___11___ffn___2___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___11___ffn___2___output_layernorm_weight]
2025-03-21T20:23:46.9116023Z     %p_getattr_l__self___encoder_layer___12___attention_output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___12___attention_output_layernorm_bias]
2025-03-21T20:23:46.9117446Z     %p_getattr_l__self___encoder_layer___12___attention_output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___12___attention_output_layernorm_weight]
2025-03-21T20:23:46.9118777Z     %p_getattr_l__self___encoder_layer___12___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___12___output_layernorm_bias]
2025-03-21T20:23:46.9120029Z     %p_getattr_l__self___encoder_layer___12___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___12___output_layernorm_weight]
2025-03-21T20:23:46.9121376Z     %p_getattr_l__self___encoder_layer___12___output_bottleneck_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___12___output_bottleneck_layernorm_bias]
2025-03-21T20:23:46.9122816Z     %p_getattr_l__self___encoder_layer___12___output_bottleneck_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___12___output_bottleneck_layernorm_weight]
2025-03-21T20:23:46.9124258Z     %p_getattr_l__self___encoder_layer___12___bottleneck_input_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___12___bottleneck_input_layernorm_bias]
2025-03-21T20:23:46.9125673Z     %p_getattr_l__self___encoder_layer___12___bottleneck_input_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___12___bottleneck_input_layernorm_weight]
2025-03-21T20:23:46.9127124Z     %p_getattr_l__self___encoder_layer___12___bottleneck_attention_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___12___bottleneck_attention_layernorm_bias]
2025-03-21T20:23:46.9128611Z     %p_getattr_l__self___encoder_layer___12___bottleneck_attention_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___12___bottleneck_attention_layernorm_weight]
2025-03-21T20:23:46.9130100Z     %p_getattr_getattr_l__self___encoder_layer___12___ffn___0___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___12___ffn___0___output_layernorm_bias]
2025-03-21T20:23:46.9131595Z     %p_getattr_getattr_l__self___encoder_layer___12___ffn___0___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___12___ffn___0___output_layernorm_weight]
2025-03-21T20:23:46.9133087Z     %p_getattr_getattr_l__self___encoder_layer___12___ffn___1___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___12___ffn___1___output_layernorm_bias]
2025-03-21T20:23:46.9152065Z     %p_getattr_getattr_l__self___encoder_layer___12___ffn___1___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___12___ffn___1___output_layernorm_weight]
2025-03-21T20:23:46.9153926Z     %p_getattr_getattr_l__self___encoder_layer___12___ffn___2___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___12___ffn___2___output_layernorm_bias]
2025-03-21T20:23:46.9155434Z     %p_getattr_getattr_l__self___encoder_layer___12___ffn___2___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___12___ffn___2___output_layernorm_weight]
2025-03-21T20:23:46.9156887Z     %p_getattr_l__self___encoder_layer___13___attention_output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___13___attention_output_layernorm_bias]
2025-03-21T20:23:46.9158893Z     %p_getattr_l__self___encoder_layer___13___attention_output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___13___attention_output_layernorm_weight]
2025-03-21T20:23:46.9160224Z     %p_getattr_l__self___encoder_layer___13___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___13___output_layernorm_bias]
2025-03-21T20:23:46.9161479Z     %p_getattr_l__self___encoder_layer___13___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___13___output_layernorm_weight]
2025-03-21T20:23:46.9162825Z     %p_getattr_l__self___encoder_layer___13___output_bottleneck_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___13___output_bottleneck_layernorm_bias]
2025-03-21T20:23:46.9164259Z     %p_getattr_l__self___encoder_layer___13___output_bottleneck_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___13___output_bottleneck_layernorm_weight]
2025-03-21T20:23:46.9165691Z     %p_getattr_l__self___encoder_layer___13___bottleneck_input_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___13___bottleneck_input_layernorm_bias]
2025-03-21T20:23:46.9167100Z     %p_getattr_l__self___encoder_layer___13___bottleneck_input_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___13___bottleneck_input_layernorm_weight]
2025-03-21T20:23:46.9168540Z     %p_getattr_l__self___encoder_layer___13___bottleneck_attention_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___13___bottleneck_attention_layernorm_bias]
2025-03-21T20:23:46.9170031Z     %p_getattr_l__self___encoder_layer___13___bottleneck_attention_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___13___bottleneck_attention_layernorm_weight]
2025-03-21T20:23:46.9171523Z     %p_getattr_getattr_l__self___encoder_layer___13___ffn___0___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___13___ffn___0___output_layernorm_bias]
2025-03-21T20:23:46.9173019Z     %p_getattr_getattr_l__self___encoder_layer___13___ffn___0___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___13___ffn___0___output_layernorm_weight]
2025-03-21T20:23:46.9174517Z     %p_getattr_getattr_l__self___encoder_layer___13___ffn___1___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___13___ffn___1___output_layernorm_bias]
2025-03-21T20:23:46.9176007Z     %p_getattr_getattr_l__self___encoder_layer___13___ffn___1___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___13___ffn___1___output_layernorm_weight]
2025-03-21T20:23:46.9177502Z     %p_getattr_getattr_l__self___encoder_layer___13___ffn___2___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___13___ffn___2___output_layernorm_bias]
2025-03-21T20:23:46.9179000Z     %p_getattr_getattr_l__self___encoder_layer___13___ffn___2___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___13___ffn___2___output_layernorm_weight]
2025-03-21T20:23:46.9180454Z     %p_getattr_l__self___encoder_layer___14___attention_output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___14___attention_output_layernorm_bias]
2025-03-21T20:23:46.9181966Z     %p_getattr_l__self___encoder_layer___14___attention_output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___14___attention_output_layernorm_weight]
2025-03-21T20:23:46.9183294Z     %p_getattr_l__self___encoder_layer___14___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___14___output_layernorm_bias]
2025-03-21T20:23:46.9184572Z     %p_getattr_l__self___encoder_layer___14___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___14___output_layernorm_weight]
2025-03-21T20:23:46.9185909Z     %p_getattr_l__self___encoder_layer___14___output_bottleneck_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___14___output_bottleneck_layernorm_bias]
2025-03-21T20:23:46.9187343Z     %p_getattr_l__self___encoder_layer___14___output_bottleneck_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___14___output_bottleneck_layernorm_weight]
2025-03-21T20:23:46.9188761Z     %p_getattr_l__self___encoder_layer___14___bottleneck_input_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___14___bottleneck_input_layernorm_bias]
2025-03-21T20:23:46.9190182Z     %p_getattr_l__self___encoder_layer___14___bottleneck_input_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___14___bottleneck_input_layernorm_weight]
2025-03-21T20:23:46.9191635Z     %p_getattr_l__self___encoder_layer___14___bottleneck_attention_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___14___bottleneck_attention_layernorm_bias]
2025-03-21T20:23:46.9193211Z     %p_getattr_l__self___encoder_layer___14___bottleneck_attention_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___14___bottleneck_attention_layernorm_weight]
2025-03-21T20:23:46.9194701Z     %p_getattr_getattr_l__self___encoder_layer___14___ffn___0___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___14___ffn___0___output_layernorm_bias]
2025-03-21T20:23:46.9196200Z     %p_getattr_getattr_l__self___encoder_layer___14___ffn___0___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___14___ffn___0___output_layernorm_weight]
2025-03-21T20:23:46.9197691Z     %p_getattr_getattr_l__self___encoder_layer___14___ffn___1___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___14___ffn___1___output_layernorm_bias]
2025-03-21T20:23:46.9199179Z     %p_getattr_getattr_l__self___encoder_layer___14___ffn___1___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___14___ffn___1___output_layernorm_weight]
2025-03-21T20:23:46.9200672Z     %p_getattr_getattr_l__self___encoder_layer___14___ffn___2___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___14___ffn___2___output_layernorm_bias]
2025-03-21T20:23:46.9202451Z     %p_getattr_getattr_l__self___encoder_layer___14___ffn___2___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___14___ffn___2___output_layernorm_weight]
2025-03-21T20:23:46.9203909Z     %p_getattr_l__self___encoder_layer___15___attention_output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___15___attention_output_layernorm_bias]
2025-03-21T20:23:46.9205318Z     %p_getattr_l__self___encoder_layer___15___attention_output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___15___attention_output_layernorm_weight]
2025-03-21T20:23:46.9206628Z     %p_getattr_l__self___encoder_layer___15___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___15___output_layernorm_bias]
2025-03-21T20:23:46.9208039Z     %p_getattr_l__self___encoder_layer___15___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___15___output_layernorm_weight]
2025-03-21T20:23:46.9209373Z     %p_getattr_l__self___encoder_layer___15___output_bottleneck_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___15___output_bottleneck_layernorm_bias]
2025-03-21T20:23:46.9210891Z     %p_getattr_l__self___encoder_layer___15___output_bottleneck_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___15___output_bottleneck_layernorm_weight]
2025-03-21T20:23:46.9212308Z     %p_getattr_l__self___encoder_layer___15___bottleneck_input_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___15___bottleneck_input_layernorm_bias]
2025-03-21T20:23:46.9213721Z     %p_getattr_l__self___encoder_layer___15___bottleneck_input_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___15___bottleneck_input_layernorm_weight]
2025-03-21T20:23:46.9215168Z     %p_getattr_l__self___encoder_layer___15___bottleneck_attention_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___15___bottleneck_attention_layernorm_bias]
2025-03-21T20:23:46.9216652Z     %p_getattr_l__self___encoder_layer___15___bottleneck_attention_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___15___bottleneck_attention_layernorm_weight]
2025-03-21T20:23:46.9218146Z     %p_getattr_getattr_l__self___encoder_layer___15___ffn___0___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___15___ffn___0___output_layernorm_bias]
2025-03-21T20:23:46.9219637Z     %p_getattr_getattr_l__self___encoder_layer___15___ffn___0___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___15___ffn___0___output_layernorm_weight]
2025-03-21T20:23:46.9221135Z     %p_getattr_getattr_l__self___encoder_layer___15___ffn___1___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___15___ffn___1___output_layernorm_bias]
2025-03-21T20:23:46.9222625Z     %p_getattr_getattr_l__self___encoder_layer___15___ffn___1___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___15___ffn___1___output_layernorm_weight]
2025-03-21T20:23:46.9224107Z     %p_getattr_getattr_l__self___encoder_layer___15___ffn___2___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___15___ffn___2___output_layernorm_bias]
2025-03-21T20:23:46.9225599Z     %p_getattr_getattr_l__self___encoder_layer___15___ffn___2___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___15___ffn___2___output_layernorm_weight]
2025-03-21T20:23:46.9227044Z     %p_getattr_l__self___encoder_layer___16___attention_output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___16___attention_output_layernorm_bias]
2025-03-21T20:23:46.9228449Z     %p_getattr_l__self___encoder_layer___16___attention_output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___16___attention_output_layernorm_weight]
2025-03-21T20:23:46.9229777Z     %p_getattr_l__self___encoder_layer___16___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___16___output_layernorm_bias]
2025-03-21T20:23:46.9231020Z     %p_getattr_l__self___encoder_layer___16___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___16___output_layernorm_weight]
2025-03-21T20:23:46.9232355Z     %p_getattr_l__self___encoder_layer___16___output_bottleneck_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___16___output_bottleneck_layernorm_bias]
2025-03-21T20:23:46.9233979Z     %p_getattr_l__self___encoder_layer___16___output_bottleneck_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___16___output_bottleneck_layernorm_weight]
2025-03-21T20:23:46.9235405Z     %p_getattr_l__self___encoder_layer___16___bottleneck_input_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___16___bottleneck_input_layernorm_bias]
2025-03-21T20:23:46.9236821Z     %p_getattr_l__self___encoder_layer___16___bottleneck_input_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___16___bottleneck_input_layernorm_weight]
2025-03-21T20:23:46.9238317Z     %p_getattr_l__self___encoder_layer___16___bottleneck_attention_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___16___bottleneck_attention_layernorm_bias]
2025-03-21T20:23:46.9239792Z     %p_getattr_l__self___encoder_layer___16___bottleneck_attention_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___16___bottleneck_attention_layernorm_weight]
2025-03-21T20:23:46.9241280Z     %p_getattr_getattr_l__self___encoder_layer___16___ffn___0___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___16___ffn___0___output_layernorm_bias]
2025-03-21T20:23:46.9242771Z     %p_getattr_getattr_l__self___encoder_layer___16___ffn___0___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___16___ffn___0___output_layernorm_weight]
2025-03-21T20:23:46.9244264Z     %p_getattr_getattr_l__self___encoder_layer___16___ffn___1___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___16___ffn___1___output_layernorm_bias]
2025-03-21T20:23:46.9245758Z     %p_getattr_getattr_l__self___encoder_layer___16___ffn___1___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___16___ffn___1___output_layernorm_weight]
2025-03-21T20:23:46.9247253Z     %p_getattr_getattr_l__self___encoder_layer___16___ffn___2___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___16___ffn___2___output_layernorm_bias]
2025-03-21T20:23:46.9248747Z     %p_getattr_getattr_l__self___encoder_layer___16___ffn___2___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___16___ffn___2___output_layernorm_weight]
2025-03-21T20:23:46.9250203Z     %p_getattr_l__self___encoder_layer___17___attention_output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___17___attention_output_layernorm_bias]
2025-03-21T20:23:46.9251612Z     %p_getattr_l__self___encoder_layer___17___attention_output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___17___attention_output_layernorm_weight]
2025-03-21T20:23:46.9252939Z     %p_getattr_l__self___encoder_layer___17___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___17___output_layernorm_bias]
2025-03-21T20:23:46.9254181Z     %p_getattr_l__self___encoder_layer___17___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___17___output_layernorm_weight]
2025-03-21T20:23:46.9255511Z     %p_getattr_l__self___encoder_layer___17___output_bottleneck_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___17___output_bottleneck_layernorm_bias]
2025-03-21T20:23:46.9256929Z     %p_getattr_l__self___encoder_layer___17___output_bottleneck_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___17___output_bottleneck_layernorm_weight]
2025-03-21T20:23:46.9258341Z     %p_getattr_l__self___encoder_layer___17___bottleneck_input_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___17___bottleneck_input_layernorm_bias]
2025-03-21T20:23:46.9259750Z     %p_getattr_l__self___encoder_layer___17___bottleneck_input_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___17___bottleneck_input_layernorm_weight]
2025-03-21T20:23:46.9261254Z     %p_getattr_l__self___encoder_layer___17___bottleneck_attention_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___17___bottleneck_attention_layernorm_bias]
2025-03-21T20:23:46.9262733Z     %p_getattr_l__self___encoder_layer___17___bottleneck_attention_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___17___bottleneck_attention_layernorm_weight]
2025-03-21T20:23:46.9264295Z     %p_getattr_getattr_l__self___encoder_layer___17___ffn___0___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___17___ffn___0___output_layernorm_bias]
2025-03-21T20:23:46.9265786Z     %p_getattr_getattr_l__self___encoder_layer___17___ffn___0___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___17___ffn___0___output_layernorm_weight]
2025-03-21T20:23:46.9267283Z     %p_getattr_getattr_l__self___encoder_layer___17___ffn___1___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___17___ffn___1___output_layernorm_bias]
2025-03-21T20:23:46.9268775Z     %p_getattr_getattr_l__self___encoder_layer___17___ffn___1___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___17___ffn___1___output_layernorm_weight]
2025-03-21T20:23:46.9270260Z     %p_getattr_getattr_l__self___encoder_layer___17___ffn___2___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___17___ffn___2___output_layernorm_bias]
2025-03-21T20:23:46.9271751Z     %p_getattr_getattr_l__self___encoder_layer___17___ffn___2___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___17___ffn___2___output_layernorm_weight]
2025-03-21T20:23:46.9273296Z     %p_getattr_l__self___encoder_layer___18___attention_output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___18___attention_output_layernorm_bias]
2025-03-21T20:23:46.9274700Z     %p_getattr_l__self___encoder_layer___18___attention_output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___18___attention_output_layernorm_weight]
2025-03-21T20:23:46.9276016Z     %p_getattr_l__self___encoder_layer___18___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___18___output_layernorm_bias]
2025-03-21T20:23:46.9277261Z     %p_getattr_l__self___encoder_layer___18___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___18___output_layernorm_weight]
2025-03-21T20:23:46.9278596Z     %p_getattr_l__self___encoder_layer___18___output_bottleneck_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___18___output_bottleneck_layernorm_bias]
2025-03-21T20:23:46.9280032Z     %p_getattr_l__self___encoder_layer___18___output_bottleneck_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___18___output_bottleneck_layernorm_weight]
2025-03-21T20:23:46.9281458Z     %p_getattr_l__self___encoder_layer___18___bottleneck_input_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___18___bottleneck_input_layernorm_bias]
2025-03-21T20:23:46.9282875Z     %p_getattr_l__self___encoder_layer___18___bottleneck_input_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___18___bottleneck_input_layernorm_weight]
2025-03-21T20:23:46.9284328Z     %p_getattr_l__self___encoder_layer___18___bottleneck_attention_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___18___bottleneck_attention_layernorm_bias]
2025-03-21T20:23:46.9285814Z     %p_getattr_l__self___encoder_layer___18___bottleneck_attention_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___18___bottleneck_attention_layernorm_weight]
2025-03-21T20:23:46.9287359Z     %p_getattr_getattr_l__self___encoder_layer___18___ffn___0___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___18___ffn___0___output_layernorm_bias]
2025-03-21T20:23:46.9288861Z     %p_getattr_getattr_l__self___encoder_layer___18___ffn___0___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___18___ffn___0___output_layernorm_weight]
2025-03-21T20:23:46.9290397Z     %p_getattr_getattr_l__self___encoder_layer___18___ffn___1___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___18___ffn___1___output_layernorm_bias]
2025-03-21T20:23:46.9291887Z     %p_getattr_getattr_l__self___encoder_layer___18___ffn___1___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___18___ffn___1___output_layernorm_weight]
2025-03-21T20:23:46.9293398Z     %p_getattr_getattr_l__self___encoder_layer___18___ffn___2___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___18___ffn___2___output_layernorm_bias]
2025-03-21T20:23:46.9294894Z     %p_getattr_getattr_l__self___encoder_layer___18___ffn___2___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___18___ffn___2___output_layernorm_weight]
2025-03-21T20:23:46.9296349Z     %p_getattr_l__self___encoder_layer___19___attention_output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___19___attention_output_layernorm_bias]
2025-03-21T20:23:46.9297771Z     %p_getattr_l__self___encoder_layer___19___attention_output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___19___attention_output_layernorm_weight]
2025-03-21T20:23:46.9299097Z     %p_getattr_l__self___encoder_layer___19___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___19___output_layernorm_bias]
2025-03-21T20:23:46.9300350Z     %p_getattr_l__self___encoder_layer___19___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___19___output_layernorm_weight]
2025-03-21T20:23:46.9301684Z     %p_getattr_l__self___encoder_layer___19___output_bottleneck_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___19___output_bottleneck_layernorm_bias]
2025-03-21T20:23:46.9303765Z     %p_getattr_l__self___encoder_layer___19___output_bottleneck_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___19___output_bottleneck_layernorm_weight]
2025-03-21T20:23:46.9305193Z     %p_getattr_l__self___encoder_layer___19___bottleneck_input_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___19___bottleneck_input_layernorm_bias]
2025-03-21T20:23:46.9306614Z     %p_getattr_l__self___encoder_layer___19___bottleneck_input_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___19___bottleneck_input_layernorm_weight]
2025-03-21T20:23:46.9308054Z     %p_getattr_l__self___encoder_layer___19___bottleneck_attention_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___19___bottleneck_attention_layernorm_bias]
2025-03-21T20:23:46.9309540Z     %p_getattr_l__self___encoder_layer___19___bottleneck_attention_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___19___bottleneck_attention_layernorm_weight]
2025-03-21T20:23:46.9311033Z     %p_getattr_getattr_l__self___encoder_layer___19___ffn___0___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___19___ffn___0___output_layernorm_bias]
2025-03-21T20:23:46.9312522Z     %p_getattr_getattr_l__self___encoder_layer___19___ffn___0___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___19___ffn___0___output_layernorm_weight]
2025-03-21T20:23:46.9314238Z     %p_getattr_getattr_l__self___encoder_layer___19___ffn___1___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___19___ffn___1___output_layernorm_bias]
2025-03-21T20:23:46.9315734Z     %p_getattr_getattr_l__self___encoder_layer___19___ffn___1___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___19___ffn___1___output_layernorm_weight]
2025-03-21T20:23:46.9317296Z     %p_getattr_getattr_l__self___encoder_layer___19___ffn___2___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___19___ffn___2___output_layernorm_bias]
2025-03-21T20:23:46.9318790Z     %p_getattr_getattr_l__self___encoder_layer___19___ffn___2___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___19___ffn___2___output_layernorm_weight]
2025-03-21T20:23:46.9320239Z     %p_getattr_l__self___encoder_layer___20___attention_output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___20___attention_output_layernorm_bias]
2025-03-21T20:23:46.9321650Z     %p_getattr_l__self___encoder_layer___20___attention_output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___20___attention_output_layernorm_weight]
2025-03-21T20:23:46.9322983Z     %p_getattr_l__self___encoder_layer___20___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___20___output_layernorm_bias]
2025-03-21T20:23:46.9324235Z     %p_getattr_l__self___encoder_layer___20___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___20___output_layernorm_weight]
2025-03-21T20:23:46.9325557Z     %p_getattr_l__self___encoder_layer___20___output_bottleneck_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___20___output_bottleneck_layernorm_bias]
2025-03-21T20:23:46.9326990Z     %p_getattr_l__self___encoder_layer___20___output_bottleneck_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___20___output_bottleneck_layernorm_weight]
2025-03-21T20:23:46.9328408Z     %p_getattr_l__self___encoder_layer___20___bottleneck_input_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___20___bottleneck_input_layernorm_bias]
2025-03-21T20:23:46.9329817Z     %p_getattr_l__self___encoder_layer___20___bottleneck_input_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___20___bottleneck_input_layernorm_weight]
2025-03-21T20:23:46.9331259Z     %p_getattr_l__self___encoder_layer___20___bottleneck_attention_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___20___bottleneck_attention_layernorm_bias]
2025-03-21T20:23:46.9332742Z     %p_getattr_l__self___encoder_layer___20___bottleneck_attention_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___20___bottleneck_attention_layernorm_weight]
2025-03-21T20:23:46.9334225Z     %p_getattr_getattr_l__self___encoder_layer___20___ffn___0___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___20___ffn___0___output_layernorm_bias]
2025-03-21T20:23:46.9335716Z     %p_getattr_getattr_l__self___encoder_layer___20___ffn___0___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___20___ffn___0___output_layernorm_weight]
2025-03-21T20:23:46.9337212Z     %p_getattr_getattr_l__self___encoder_layer___20___ffn___1___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___20___ffn___1___output_layernorm_bias]
2025-03-21T20:23:46.9338703Z     %p_getattr_getattr_l__self___encoder_layer___20___ffn___1___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___20___ffn___1___output_layernorm_weight]
2025-03-21T20:23:46.9340248Z     %p_getattr_getattr_l__self___encoder_layer___20___ffn___2___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___20___ffn___2___output_layernorm_bias]
2025-03-21T20:23:46.9341732Z     %p_getattr_getattr_l__self___encoder_layer___20___ffn___2___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___20___ffn___2___output_layernorm_weight]
2025-03-21T20:23:46.9343212Z     %p_getattr_l__self___encoder_layer___21___attention_output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___21___attention_output_layernorm_bias]
2025-03-21T20:23:46.9344635Z     %p_getattr_l__self___encoder_layer___21___attention_output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___21___attention_output_layernorm_weight]
2025-03-21T20:23:46.9345964Z     %p_getattr_l__self___encoder_layer___21___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___21___output_layernorm_bias]
2025-03-21T20:23:46.9347214Z     %p_getattr_l__self___encoder_layer___21___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___21___output_layernorm_weight]
2025-03-21T20:23:46.9348551Z     %p_getattr_l__self___encoder_layer___21___output_bottleneck_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___21___output_bottleneck_layernorm_bias]
2025-03-21T20:23:46.9349983Z     %p_getattr_l__self___encoder_layer___21___output_bottleneck_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___21___output_bottleneck_layernorm_weight]
2025-03-21T20:23:46.9351402Z     %p_getattr_l__self___encoder_layer___21___bottleneck_input_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___21___bottleneck_input_layernorm_bias]
2025-03-21T20:23:46.9352815Z     %p_getattr_l__self___encoder_layer___21___bottleneck_input_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___21___bottleneck_input_layernorm_weight]
2025-03-21T20:23:46.9354369Z     %p_getattr_l__self___encoder_layer___21___bottleneck_attention_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___21___bottleneck_attention_layernorm_bias]
2025-03-21T20:23:46.9355857Z     %p_getattr_l__self___encoder_layer___21___bottleneck_attention_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___21___bottleneck_attention_layernorm_weight]
2025-03-21T20:23:46.9357344Z     %p_getattr_getattr_l__self___encoder_layer___21___ffn___0___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___21___ffn___0___output_layernorm_bias]
2025-03-21T20:23:46.9358825Z     %p_getattr_getattr_l__self___encoder_layer___21___ffn___0___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___21___ffn___0___output_layernorm_weight]
2025-03-21T20:23:46.9360320Z     %p_getattr_getattr_l__self___encoder_layer___21___ffn___1___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___21___ffn___1___output_layernorm_bias]
2025-03-21T20:23:46.9361812Z     %p_getattr_getattr_l__self___encoder_layer___21___ffn___1___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___21___ffn___1___output_layernorm_weight]
2025-03-21T20:23:46.9363304Z     %p_getattr_getattr_l__self___encoder_layer___21___ffn___2___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___21___ffn___2___output_layernorm_bias]
2025-03-21T20:23:46.9364789Z     %p_getattr_getattr_l__self___encoder_layer___21___ffn___2___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___21___ffn___2___output_layernorm_weight]
2025-03-21T20:23:46.9366319Z     %p_getattr_l__self___encoder_layer___22___attention_output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___22___attention_output_layernorm_bias]
2025-03-21T20:23:46.9367728Z     %p_getattr_l__self___encoder_layer___22___attention_output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___22___attention_output_layernorm_weight]
2025-03-21T20:23:46.9369064Z     %p_getattr_l__self___encoder_layer___22___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___22___output_layernorm_bias]
2025-03-21T20:23:46.9370387Z     %p_getattr_l__self___encoder_layer___22___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___22___output_layernorm_weight]
2025-03-21T20:23:46.9371735Z     %p_getattr_l__self___encoder_layer___22___output_bottleneck_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___22___output_bottleneck_layernorm_bias]
2025-03-21T20:23:46.9373172Z     %p_getattr_l__self___encoder_layer___22___output_bottleneck_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___22___output_bottleneck_layernorm_weight]
2025-03-21T20:23:46.9374584Z     %p_getattr_l__self___encoder_layer___22___bottleneck_input_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___22___bottleneck_input_layernorm_bias]
2025-03-21T20:23:46.9375997Z     %p_getattr_l__self___encoder_layer___22___bottleneck_input_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___22___bottleneck_input_layernorm_weight]
2025-03-21T20:23:46.9377444Z     %p_getattr_l__self___encoder_layer___22___bottleneck_attention_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___22___bottleneck_attention_layernorm_bias]
2025-03-21T20:23:46.9378923Z     %p_getattr_l__self___encoder_layer___22___bottleneck_attention_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___22___bottleneck_attention_layernorm_weight]
2025-03-21T20:23:46.9380408Z     %p_getattr_getattr_l__self___encoder_layer___22___ffn___0___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___22___ffn___0___output_layernorm_bias]
2025-03-21T20:23:46.9381893Z     %p_getattr_getattr_l__self___encoder_layer___22___ffn___0___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___22___ffn___0___output_layernorm_weight]
2025-03-21T20:23:46.9383381Z     %p_getattr_getattr_l__self___encoder_layer___22___ffn___1___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___22___ffn___1___output_layernorm_bias]
2025-03-21T20:23:46.9384866Z     %p_getattr_getattr_l__self___encoder_layer___22___ffn___1___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___22___ffn___1___output_layernorm_weight]
2025-03-21T20:23:46.9386355Z     %p_getattr_getattr_l__self___encoder_layer___22___ffn___2___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___22___ffn___2___output_layernorm_bias]
2025-03-21T20:23:46.9387845Z     %p_getattr_getattr_l__self___encoder_layer___22___ffn___2___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___22___ffn___2___output_layernorm_weight]
2025-03-21T20:23:46.9389302Z     %p_getattr_l__self___encoder_layer___23___attention_output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___23___attention_output_layernorm_bias]
2025-03-21T20:23:46.9390704Z     %p_getattr_l__self___encoder_layer___23___attention_output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___23___attention_output_layernorm_weight]
2025-03-21T20:23:46.9392091Z     %p_getattr_l__self___encoder_layer___23___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___23___output_layernorm_bias]
2025-03-21T20:23:46.9393417Z     %p_getattr_l__self___encoder_layer___23___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___23___output_layernorm_weight]
2025-03-21T20:23:46.9394758Z     %p_getattr_l__self___encoder_layer___23___output_bottleneck_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___23___output_bottleneck_layernorm_bias]
2025-03-21T20:23:46.9396247Z     %p_getattr_l__self___encoder_layer___23___output_bottleneck_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___23___output_bottleneck_layernorm_weight]
2025-03-21T20:23:46.9397667Z     %p_getattr_l__self___encoder_layer___23___bottleneck_input_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___23___bottleneck_input_layernorm_bias]
2025-03-21T20:23:46.9399077Z     %p_getattr_l__self___encoder_layer___23___bottleneck_input_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___23___bottleneck_input_layernorm_weight]
2025-03-21T20:23:46.9400515Z     %p_getattr_l__self___encoder_layer___23___bottleneck_attention_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___23___bottleneck_attention_layernorm_bias]
2025-03-21T20:23:46.9402268Z     %p_getattr_l__self___encoder_layer___23___bottleneck_attention_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___23___bottleneck_attention_layernorm_weight]
2025-03-21T20:23:46.9403831Z     %p_getattr_getattr_l__self___encoder_layer___23___ffn___0___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___23___ffn___0___output_layernorm_bias]
2025-03-21T20:23:46.9405328Z     %p_getattr_getattr_l__self___encoder_layer___23___ffn___0___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___23___ffn___0___output_layernorm_weight]
2025-03-21T20:23:46.9406813Z     %p_getattr_getattr_l__self___encoder_layer___23___ffn___1___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___23___ffn___1___output_layernorm_bias]
2025-03-21T20:23:46.9408303Z     %p_getattr_getattr_l__self___encoder_layer___23___ffn___1___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___23___ffn___1___output_layernorm_weight]
2025-03-21T20:23:46.9409804Z     %p_getattr_getattr_l__self___encoder_layer___23___ffn___2___output_layernorm_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___23___ffn___2___output_layernorm_bias]
2025-03-21T20:23:46.9411298Z     %p_getattr_getattr_l__self___encoder_layer___23___ffn___2___output_layernorm_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___23___ffn___2___output_layernorm_weight]
2025-03-21T20:23:46.9412520Z     %p_embeddings_word_embeddings_weight : [num_users=1] = placeholder[target=p_embeddings_word_embeddings_weight]
2025-03-21T20:23:46.9413496Z     %p_embeddings_embedding_transformation_weight : [num_users=1] = placeholder[target=p_embeddings_embedding_transformation_weight]
2025-03-21T20:23:46.9414546Z     %p_embeddings_embedding_transformation_bias : [num_users=1] = placeholder[target=p_embeddings_embedding_transformation_bias]
2025-03-21T20:23:46.9415544Z     %p_embeddings_position_embeddings_weight : [num_users=1] = placeholder[target=p_embeddings_position_embeddings_weight]
2025-03-21T20:23:46.9416522Z     %p_embeddings_token_type_embeddings_weight : [num_users=1] = placeholder[target=p_embeddings_token_type_embeddings_weight]
2025-03-21T20:23:46.9417688Z     %p_getattr_l__self___encoder_layer___0___bottleneck_input_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___0___bottleneck_input_dense_weight]
2025-03-21T20:23:46.9419177Z     %p_getattr_l__self___encoder_layer___0___bottleneck_input_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___0___bottleneck_input_dense_bias]
2025-03-21T20:23:46.9420548Z     %p_getattr_l__self___encoder_layer___0___bottleneck_attention_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___0___bottleneck_attention_dense_weight]
2025-03-21T20:23:46.9421948Z     %p_getattr_l__self___encoder_layer___0___bottleneck_attention_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___0___bottleneck_attention_dense_bias]
2025-03-21T20:23:46.9423367Z     %p_getattr_l__self___encoder_layer___0___attention_self_query_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___0___attention_self_query_weight]
2025-03-21T20:23:46.9424652Z     %p_getattr_l__self___encoder_layer___0___attention_self_query_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___0___attention_self_query_bias]
2025-03-21T20:23:46.9425933Z     %p_getattr_l__self___encoder_layer___0___attention_self_key_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___0___attention_self_key_weight]
2025-03-21T20:23:46.9427184Z     %p_getattr_l__self___encoder_layer___0___attention_self_key_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___0___attention_self_key_bias]
2025-03-21T20:23:46.9428458Z     %p_getattr_l__self___encoder_layer___0___attention_self_value_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___0___attention_self_value_weight]
2025-03-21T20:23:46.9429753Z     %p_getattr_l__self___encoder_layer___0___attention_self_value_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___0___attention_self_value_bias]
2025-03-21T20:23:46.9431039Z     %p_getattr_l__self___encoder_layer___0___attention_output_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___0___attention_output_dense_weight]
2025-03-21T20:23:46.9432501Z     %p_getattr_l__self___encoder_layer___0___attention_output_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___0___attention_output_dense_bias]
2025-03-21T20:23:46.9434013Z     %p_getattr_getattr_l__self___encoder_layer___0___ffn___0___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___0___ffn___0___intermediate_dense_weight]
2025-03-21T20:23:46.9435540Z     %p_getattr_getattr_l__self___encoder_layer___0___ffn___0___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___0___ffn___0___intermediate_dense_bias]
2025-03-21T20:23:46.9437002Z     %p_getattr_getattr_l__self___encoder_layer___0___ffn___0___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___0___ffn___0___output_dense_weight]
2025-03-21T20:23:46.9438404Z     %p_getattr_getattr_l__self___encoder_layer___0___ffn___0___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___0___ffn___0___output_dense_bias]
2025-03-21T20:23:46.9439874Z     %p_getattr_getattr_l__self___encoder_layer___0___ffn___1___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___0___ffn___1___intermediate_dense_weight]
2025-03-21T20:23:46.9441390Z     %p_getattr_getattr_l__self___encoder_layer___0___ffn___1___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___0___ffn___1___intermediate_dense_bias]
2025-03-21T20:23:46.9442853Z     %p_getattr_getattr_l__self___encoder_layer___0___ffn___1___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___0___ffn___1___output_dense_weight]
2025-03-21T20:23:46.9444260Z     %p_getattr_getattr_l__self___encoder_layer___0___ffn___1___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___0___ffn___1___output_dense_bias]
2025-03-21T20:23:46.9445807Z     %p_getattr_getattr_l__self___encoder_layer___0___ffn___2___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___0___ffn___2___intermediate_dense_weight]
2025-03-21T20:23:46.9447327Z     %p_getattr_getattr_l__self___encoder_layer___0___ffn___2___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___0___ffn___2___intermediate_dense_bias]
2025-03-21T20:23:46.9448844Z     %p_getattr_getattr_l__self___encoder_layer___0___ffn___2___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___0___ffn___2___output_dense_weight]
2025-03-21T20:23:46.9450243Z     %p_getattr_getattr_l__self___encoder_layer___0___ffn___2___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___0___ffn___2___output_dense_bias]
2025-03-21T20:23:46.9451584Z     %p_getattr_l__self___encoder_layer___0___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___0___intermediate_dense_weight]
2025-03-21T20:23:46.9452852Z     %p_getattr_l__self___encoder_layer___0___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___0___intermediate_dense_bias]
2025-03-21T20:23:46.9454071Z     %p_getattr_l__self___encoder_layer___0___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___0___output_dense_weight]
2025-03-21T20:23:46.9455243Z     %p_getattr_l__self___encoder_layer___0___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___0___output_dense_bias]
2025-03-21T20:23:46.9456501Z     %p_getattr_l__self___encoder_layer___0___output_bottleneck_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___0___output_bottleneck_dense_weight]
2025-03-21T20:23:46.9457845Z     %p_getattr_l__self___encoder_layer___0___output_bottleneck_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___0___output_bottleneck_dense_bias]
2025-03-21T20:23:46.9459181Z     %p_getattr_l__self___encoder_layer___1___bottleneck_input_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___1___bottleneck_input_dense_weight]
2025-03-21T20:23:46.9460498Z     %p_getattr_l__self___encoder_layer___1___bottleneck_input_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___1___bottleneck_input_dense_bias]
2025-03-21T20:23:46.9461869Z     %p_getattr_l__self___encoder_layer___1___bottleneck_attention_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___1___bottleneck_attention_dense_weight]
2025-03-21T20:23:46.9463252Z     %p_getattr_l__self___encoder_layer___1___bottleneck_attention_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___1___bottleneck_attention_dense_bias]
2025-03-21T20:23:46.9464591Z     %p_getattr_l__self___encoder_layer___1___attention_self_query_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___1___attention_self_query_weight]
2025-03-21T20:23:46.9465870Z     %p_getattr_l__self___encoder_layer___1___attention_self_query_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___1___attention_self_query_bias]
2025-03-21T20:23:46.9467129Z     %p_getattr_l__self___encoder_layer___1___attention_self_key_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___1___attention_self_key_weight]
2025-03-21T20:23:46.9468372Z     %p_getattr_l__self___encoder_layer___1___attention_self_key_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___1___attention_self_key_bias]
2025-03-21T20:23:46.9469636Z     %p_getattr_l__self___encoder_layer___1___attention_self_value_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___1___attention_self_value_weight]
2025-03-21T20:23:46.9470987Z     %p_getattr_l__self___encoder_layer___1___attention_self_value_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___1___attention_self_value_bias]
2025-03-21T20:23:46.9472285Z     %p_getattr_l__self___encoder_layer___1___attention_output_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___1___attention_output_dense_weight]
2025-03-21T20:23:46.9473697Z     %p_getattr_l__self___encoder_layer___1___attention_output_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___1___attention_output_dense_bias]
2025-03-21T20:23:46.9475175Z     %p_getattr_getattr_l__self___encoder_layer___1___ffn___0___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___1___ffn___0___intermediate_dense_weight]
2025-03-21T20:23:46.9476697Z     %p_getattr_getattr_l__self___encoder_layer___1___ffn___0___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___1___ffn___0___intermediate_dense_bias]
2025-03-21T20:23:46.9478148Z     %p_getattr_getattr_l__self___encoder_layer___1___ffn___0___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___1___ffn___0___output_dense_weight]
2025-03-21T20:23:46.9479546Z     %p_getattr_getattr_l__self___encoder_layer___1___ffn___0___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___1___ffn___0___output_dense_bias]
2025-03-21T20:23:46.9481010Z     %p_getattr_getattr_l__self___encoder_layer___1___ffn___1___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___1___ffn___1___intermediate_dense_weight]
2025-03-21T20:23:46.9482528Z     %p_getattr_getattr_l__self___encoder_layer___1___ffn___1___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___1___ffn___1___intermediate_dense_bias]
2025-03-21T20:23:46.9483988Z     %p_getattr_getattr_l__self___encoder_layer___1___ffn___1___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___1___ffn___1___output_dense_weight]
2025-03-21T20:23:46.9485390Z     %p_getattr_getattr_l__self___encoder_layer___1___ffn___1___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___1___ffn___1___output_dense_bias]
2025-03-21T20:23:46.9486847Z     %p_getattr_getattr_l__self___encoder_layer___1___ffn___2___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___1___ffn___2___intermediate_dense_weight]
2025-03-21T20:23:46.9488364Z     %p_getattr_getattr_l__self___encoder_layer___1___ffn___2___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___1___ffn___2___intermediate_dense_bias]
2025-03-21T20:23:46.9489827Z     %p_getattr_getattr_l__self___encoder_layer___1___ffn___2___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___1___ffn___2___output_dense_weight]
2025-03-21T20:23:46.9491246Z     %p_getattr_getattr_l__self___encoder_layer___1___ffn___2___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___1___ffn___2___output_dense_bias]
2025-03-21T20:23:46.9492578Z     %p_getattr_l__self___encoder_layer___1___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___1___intermediate_dense_weight]
2025-03-21T20:23:46.9493853Z     %p_getattr_l__self___encoder_layer___1___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___1___intermediate_dense_bias]
2025-03-21T20:23:46.9495059Z     %p_getattr_l__self___encoder_layer___1___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___1___output_dense_weight]
2025-03-21T20:23:46.9496222Z     %p_getattr_l__self___encoder_layer___1___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___1___output_dense_bias]
2025-03-21T20:23:46.9497565Z     %p_getattr_l__self___encoder_layer___1___output_bottleneck_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___1___output_bottleneck_dense_weight]
2025-03-21T20:23:46.9498899Z     %p_getattr_l__self___encoder_layer___1___output_bottleneck_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___1___output_bottleneck_dense_bias]
2025-03-21T20:23:46.9500273Z     %p_getattr_l__self___encoder_layer___2___bottleneck_input_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___2___bottleneck_input_dense_weight]
2025-03-21T20:23:46.9501598Z     %p_getattr_l__self___encoder_layer___2___bottleneck_input_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___2___bottleneck_input_dense_bias]
2025-03-21T20:23:46.9503190Z     %p_getattr_l__self___encoder_layer___2___bottleneck_attention_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___2___bottleneck_attention_dense_weight]
2025-03-21T20:23:46.9504589Z     %p_getattr_l__self___encoder_layer___2___bottleneck_attention_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___2___bottleneck_attention_dense_bias]
2025-03-21T20:23:46.9505926Z     %p_getattr_l__self___encoder_layer___2___attention_self_query_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___2___attention_self_query_weight]
2025-03-21T20:23:46.9507213Z     %p_getattr_l__self___encoder_layer___2___attention_self_query_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___2___attention_self_query_bias]
2025-03-21T20:23:46.9508479Z     %p_getattr_l__self___encoder_layer___2___attention_self_key_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___2___attention_self_key_weight]
2025-03-21T20:23:46.9509729Z     %p_getattr_l__self___encoder_layer___2___attention_self_key_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___2___attention_self_key_bias]
2025-03-21T20:23:46.9511003Z     %p_getattr_l__self___encoder_layer___2___attention_self_value_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___2___attention_self_value_weight]
2025-03-21T20:23:46.9512289Z     %p_getattr_l__self___encoder_layer___2___attention_self_value_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___2___attention_self_value_bias]
2025-03-21T20:23:46.9513686Z     %p_getattr_l__self___encoder_layer___2___attention_output_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___2___attention_output_dense_weight]
2025-03-21T20:23:46.9515011Z     %p_getattr_l__self___encoder_layer___2___attention_output_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___2___attention_output_dense_bias]
2025-03-21T20:23:46.9516431Z     %p_getattr_getattr_l__self___encoder_layer___2___ffn___0___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___2___ffn___0___intermediate_dense_weight]
2025-03-21T20:23:46.9517959Z     %p_getattr_getattr_l__self___encoder_layer___2___ffn___0___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___2___ffn___0___intermediate_dense_bias]
2025-03-21T20:23:46.9519425Z     %p_getattr_getattr_l__self___encoder_layer___2___ffn___0___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___2___ffn___0___output_dense_weight]
2025-03-21T20:23:46.9520834Z     %p_getattr_getattr_l__self___encoder_layer___2___ffn___0___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___2___ffn___0___output_dense_bias]
2025-03-21T20:23:46.9522301Z     %p_getattr_getattr_l__self___encoder_layer___2___ffn___1___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___2___ffn___1___intermediate_dense_weight]
2025-03-21T20:23:46.9523937Z     %p_getattr_getattr_l__self___encoder_layer___2___ffn___1___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___2___ffn___1___intermediate_dense_bias]
2025-03-21T20:23:46.9525403Z     %p_getattr_getattr_l__self___encoder_layer___2___ffn___1___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___2___ffn___1___output_dense_weight]
2025-03-21T20:23:46.9526877Z     %p_getattr_getattr_l__self___encoder_layer___2___ffn___1___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___2___ffn___1___output_dense_bias]
2025-03-21T20:23:46.9528348Z     %p_getattr_getattr_l__self___encoder_layer___2___ffn___2___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___2___ffn___2___intermediate_dense_weight]
2025-03-21T20:23:46.9529874Z     %p_getattr_getattr_l__self___encoder_layer___2___ffn___2___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___2___ffn___2___intermediate_dense_bias]
2025-03-21T20:23:46.9531340Z     %p_getattr_getattr_l__self___encoder_layer___2___ffn___2___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___2___ffn___2___output_dense_weight]
2025-03-21T20:23:46.9532752Z     %p_getattr_getattr_l__self___encoder_layer___2___ffn___2___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___2___ffn___2___output_dense_bias]
2025-03-21T20:23:46.9534098Z     %p_getattr_l__self___encoder_layer___2___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___2___intermediate_dense_weight]
2025-03-21T20:23:46.9535377Z     %p_getattr_l__self___encoder_layer___2___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___2___intermediate_dense_bias]
2025-03-21T20:23:46.9536608Z     %p_getattr_l__self___encoder_layer___2___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___2___output_dense_weight]
2025-03-21T20:23:46.9537777Z     %p_getattr_l__self___encoder_layer___2___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___2___output_dense_bias]
2025-03-21T20:23:46.9539026Z     %p_getattr_l__self___encoder_layer___2___output_bottleneck_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___2___output_bottleneck_dense_weight]
2025-03-21T20:23:46.9540377Z     %p_getattr_l__self___encoder_layer___2___output_bottleneck_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___2___output_bottleneck_dense_bias]
2025-03-21T20:23:46.9541710Z     %p_getattr_l__self___encoder_layer___3___bottleneck_input_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___3___bottleneck_input_dense_weight]
2025-03-21T20:23:46.9543037Z     %p_getattr_l__self___encoder_layer___3___bottleneck_input_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___3___bottleneck_input_dense_bias]
2025-03-21T20:23:46.9544394Z     %p_getattr_l__self___encoder_layer___3___bottleneck_attention_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___3___bottleneck_attention_dense_weight]
2025-03-21T20:23:46.9545789Z     %p_getattr_l__self___encoder_layer___3___bottleneck_attention_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___3___bottleneck_attention_dense_bias]
2025-03-21T20:23:46.9547130Z     %p_getattr_l__self___encoder_layer___3___attention_self_query_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___3___attention_self_query_weight]
2025-03-21T20:23:46.9548413Z     %p_getattr_l__self___encoder_layer___3___attention_self_query_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___3___attention_self_query_bias]
2025-03-21T20:23:46.9549733Z     %p_getattr_l__self___encoder_layer___3___attention_self_key_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___3___attention_self_key_weight]
2025-03-21T20:23:46.9550976Z     %p_getattr_l__self___encoder_layer___3___attention_self_key_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___3___attention_self_key_bias]
2025-03-21T20:23:46.9552286Z     %p_getattr_l__self___encoder_layer___3___attention_self_value_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___3___attention_self_value_weight]
2025-03-21T20:23:46.9553641Z     %p_getattr_l__self___encoder_layer___3___attention_self_value_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___3___attention_self_value_bias]
2025-03-21T20:23:46.9554948Z     %p_getattr_l__self___encoder_layer___3___attention_output_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___3___attention_output_dense_weight]
2025-03-21T20:23:46.9556269Z     %p_getattr_l__self___encoder_layer___3___attention_output_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___3___attention_output_dense_bias]
2025-03-21T20:23:46.9557690Z     %p_getattr_getattr_l__self___encoder_layer___3___ffn___0___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___3___ffn___0___intermediate_dense_weight]
2025-03-21T20:23:46.9559219Z     %p_getattr_getattr_l__self___encoder_layer___3___ffn___0___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___3___ffn___0___intermediate_dense_bias]
2025-03-21T20:23:46.9560687Z     %p_getattr_getattr_l__self___encoder_layer___3___ffn___0___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___3___ffn___0___output_dense_weight]
2025-03-21T20:23:46.9562093Z     %p_getattr_getattr_l__self___encoder_layer___3___ffn___0___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___3___ffn___0___output_dense_bias]
2025-03-21T20:23:46.9563557Z     %p_getattr_getattr_l__self___encoder_layer___3___ffn___1___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___3___ffn___1___intermediate_dense_weight]
2025-03-21T20:23:46.9565071Z     %p_getattr_getattr_l__self___encoder_layer___3___ffn___1___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___3___ffn___1___intermediate_dense_bias]
2025-03-21T20:23:46.9566536Z     %p_getattr_getattr_l__self___encoder_layer___3___ffn___1___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___3___ffn___1___output_dense_weight]
2025-03-21T20:23:46.9567938Z     %p_getattr_getattr_l__self___encoder_layer___3___ffn___1___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___3___ffn___1___output_dense_bias]
2025-03-21T20:23:46.9569412Z     %p_getattr_getattr_l__self___encoder_layer___3___ffn___2___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___3___ffn___2___intermediate_dense_weight]
2025-03-21T20:23:46.9570926Z     %p_getattr_getattr_l__self___encoder_layer___3___ffn___2___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___3___ffn___2___intermediate_dense_bias]
2025-03-21T20:23:46.9572389Z     %p_getattr_getattr_l__self___encoder_layer___3___ffn___2___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___3___ffn___2___output_dense_weight]
2025-03-21T20:23:46.9573791Z     %p_getattr_getattr_l__self___encoder_layer___3___ffn___2___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___3___ffn___2___output_dense_bias]
2025-03-21T20:23:46.9575206Z     %p_getattr_l__self___encoder_layer___3___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___3___intermediate_dense_weight]
2025-03-21T20:23:46.9576482Z     %p_getattr_l__self___encoder_layer___3___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___3___intermediate_dense_bias]
2025-03-21T20:23:46.9577696Z     %p_getattr_l__self___encoder_layer___3___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___3___output_dense_weight]
2025-03-21T20:23:46.9578931Z     %p_getattr_l__self___encoder_layer___3___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___3___output_dense_bias]
2025-03-21T20:23:46.9580194Z     %p_getattr_l__self___encoder_layer___3___output_bottleneck_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___3___output_bottleneck_dense_weight]
2025-03-21T20:23:46.9581543Z     %p_getattr_l__self___encoder_layer___3___output_bottleneck_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___3___output_bottleneck_dense_bias]
2025-03-21T20:23:46.9582872Z     %p_getattr_l__self___encoder_layer___4___bottleneck_input_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___4___bottleneck_input_dense_weight]
2025-03-21T20:23:46.9584188Z     %p_getattr_l__self___encoder_layer___4___bottleneck_input_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___4___bottleneck_input_dense_bias]
2025-03-21T20:23:46.9585550Z     %p_getattr_l__self___encoder_layer___4___bottleneck_attention_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___4___bottleneck_attention_dense_weight]
2025-03-21T20:23:46.9586949Z     %p_getattr_l__self___encoder_layer___4___bottleneck_attention_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___4___bottleneck_attention_dense_bias]
2025-03-21T20:23:46.9588290Z     %p_getattr_l__self___encoder_layer___4___attention_self_query_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___4___attention_self_query_weight]
2025-03-21T20:23:46.9589574Z     %p_getattr_l__self___encoder_layer___4___attention_self_query_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___4___attention_self_query_bias]
2025-03-21T20:23:46.9590837Z     %p_getattr_l__self___encoder_layer___4___attention_self_key_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___4___attention_self_key_weight]
2025-03-21T20:23:46.9592079Z     %p_getattr_l__self___encoder_layer___4___attention_self_key_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___4___attention_self_key_bias]
2025-03-21T20:23:46.9593443Z     %p_getattr_l__self___encoder_layer___4___attention_self_value_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___4___attention_self_value_weight]
2025-03-21T20:23:46.9594734Z     %p_getattr_l__self___encoder_layer___4___attention_self_value_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___4___attention_self_value_bias]
2025-03-21T20:23:46.9596036Z     %p_getattr_l__self___encoder_layer___4___attention_output_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___4___attention_output_dense_weight]
2025-03-21T20:23:46.9597351Z     %p_getattr_l__self___encoder_layer___4___attention_output_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___4___attention_output_dense_bias]
2025-03-21T20:23:46.9598760Z     %p_getattr_getattr_l__self___encoder_layer___4___ffn___0___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___4___ffn___0___intermediate_dense_weight]
2025-03-21T20:23:46.9600278Z     %p_getattr_getattr_l__self___encoder_layer___4___ffn___0___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___4___ffn___0___intermediate_dense_bias]
2025-03-21T20:23:46.9601805Z     %p_getattr_getattr_l__self___encoder_layer___4___ffn___0___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___4___ffn___0___output_dense_weight]
2025-03-21T20:23:46.9603514Z     %p_getattr_getattr_l__self___encoder_layer___4___ffn___0___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___4___ffn___0___output_dense_bias]
2025-03-21T20:23:46.9605340Z     %p_getattr_getattr_l__self___encoder_layer___4___ffn___1___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___4___ffn___1___intermediate_dense_weight]
2025-03-21T20:23:46.9606877Z     %p_getattr_getattr_l__self___encoder_layer___4___ffn___1___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___4___ffn___1___intermediate_dense_bias]
2025-03-21T20:23:46.9608346Z     %p_getattr_getattr_l__self___encoder_layer___4___ffn___1___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___4___ffn___1___output_dense_weight]
2025-03-21T20:23:46.9609751Z     %p_getattr_getattr_l__self___encoder_layer___4___ffn___1___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___4___ffn___1___output_dense_bias]
2025-03-21T20:23:46.9611212Z     %p_getattr_getattr_l__self___encoder_layer___4___ffn___2___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___4___ffn___2___intermediate_dense_weight]
2025-03-21T20:23:46.9612736Z     %p_getattr_getattr_l__self___encoder_layer___4___ffn___2___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___4___ffn___2___intermediate_dense_bias]
2025-03-21T20:23:46.9614189Z     %p_getattr_getattr_l__self___encoder_layer___4___ffn___2___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___4___ffn___2___output_dense_weight]
2025-03-21T20:23:46.9615597Z     %p_getattr_getattr_l__self___encoder_layer___4___ffn___2___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___4___ffn___2___output_dense_bias]
2025-03-21T20:23:46.9616922Z     %p_getattr_l__self___encoder_layer___4___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___4___intermediate_dense_weight]
2025-03-21T20:23:46.9618192Z     %p_getattr_l__self___encoder_layer___4___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___4___intermediate_dense_bias]
2025-03-21T20:23:46.9619407Z     %p_getattr_l__self___encoder_layer___4___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___4___output_dense_weight]
2025-03-21T20:23:46.9620567Z     %p_getattr_l__self___encoder_layer___4___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___4___output_dense_bias]
2025-03-21T20:23:46.9621820Z     %p_getattr_l__self___encoder_layer___4___output_bottleneck_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___4___output_bottleneck_dense_weight]
2025-03-21T20:23:46.9623164Z     %p_getattr_l__self___encoder_layer___4___output_bottleneck_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___4___output_bottleneck_dense_bias]
2025-03-21T20:23:46.9624500Z     %p_getattr_l__self___encoder_layer___5___bottleneck_input_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___5___bottleneck_input_dense_weight]
2025-03-21T20:23:46.9625820Z     %p_getattr_l__self___encoder_layer___5___bottleneck_input_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___5___bottleneck_input_dense_bias]
2025-03-21T20:23:46.9627190Z     %p_getattr_l__self___encoder_layer___5___bottleneck_attention_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___5___bottleneck_attention_dense_weight]
2025-03-21T20:23:46.9628669Z     %p_getattr_l__self___encoder_layer___5___bottleneck_attention_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___5___bottleneck_attention_dense_bias]
2025-03-21T20:23:46.9630004Z     %p_getattr_l__self___encoder_layer___5___attention_self_query_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___5___attention_self_query_weight]
2025-03-21T20:23:46.9631325Z     %p_getattr_l__self___encoder_layer___5___attention_self_query_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___5___attention_self_query_bias]
2025-03-21T20:23:46.9632602Z     %p_getattr_l__self___encoder_layer___5___attention_self_key_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___5___attention_self_key_weight]
2025-03-21T20:23:46.9633936Z     %p_getattr_l__self___encoder_layer___5___attention_self_key_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___5___attention_self_key_bias]
2025-03-21T20:23:46.9635204Z     %p_getattr_l__self___encoder_layer___5___attention_self_value_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___5___attention_self_value_weight]
2025-03-21T20:23:46.9636481Z     %p_getattr_l__self___encoder_layer___5___attention_self_value_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___5___attention_self_value_bias]
2025-03-21T20:23:46.9637787Z     %p_getattr_l__self___encoder_layer___5___attention_output_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___5___attention_output_dense_weight]
2025-03-21T20:23:46.9639106Z     %p_getattr_l__self___encoder_layer___5___attention_output_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___5___attention_output_dense_bias]
2025-03-21T20:23:46.9640538Z     %p_getattr_getattr_l__self___encoder_layer___5___ffn___0___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___5___ffn___0___intermediate_dense_weight]
2025-03-21T20:23:46.9642069Z     %p_getattr_getattr_l__self___encoder_layer___5___ffn___0___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___5___ffn___0___intermediate_dense_bias]
2025-03-21T20:23:46.9643549Z     %p_getattr_getattr_l__self___encoder_layer___5___ffn___0___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___5___ffn___0___output_dense_weight]
2025-03-21T20:23:46.9644945Z     %p_getattr_getattr_l__self___encoder_layer___5___ffn___0___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___5___ffn___0___output_dense_bias]
2025-03-21T20:23:46.9646419Z     %p_getattr_getattr_l__self___encoder_layer___5___ffn___1___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___5___ffn___1___intermediate_dense_weight]
2025-03-21T20:23:46.9647948Z     %p_getattr_getattr_l__self___encoder_layer___5___ffn___1___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___5___ffn___1___intermediate_dense_bias]
2025-03-21T20:23:46.9649413Z     %p_getattr_getattr_l__self___encoder_layer___5___ffn___1___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___5___ffn___1___output_dense_weight]
2025-03-21T20:23:46.9650829Z     %p_getattr_getattr_l__self___encoder_layer___5___ffn___1___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___5___ffn___1___output_dense_bias]
2025-03-21T20:23:46.9652297Z     %p_getattr_getattr_l__self___encoder_layer___5___ffn___2___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___5___ffn___2___intermediate_dense_weight]
2025-03-21T20:23:46.9653892Z     %p_getattr_getattr_l__self___encoder_layer___5___ffn___2___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___5___ffn___2___intermediate_dense_bias]
2025-03-21T20:23:46.9655363Z     %p_getattr_getattr_l__self___encoder_layer___5___ffn___2___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___5___ffn___2___output_dense_weight]
2025-03-21T20:23:46.9656842Z     %p_getattr_getattr_l__self___encoder_layer___5___ffn___2___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___5___ffn___2___output_dense_bias]
2025-03-21T20:23:46.9658187Z     %p_getattr_l__self___encoder_layer___5___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___5___intermediate_dense_weight]
2025-03-21T20:23:46.9659468Z     %p_getattr_l__self___encoder_layer___5___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___5___intermediate_dense_bias]
2025-03-21T20:23:46.9660698Z     %p_getattr_l__self___encoder_layer___5___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___5___output_dense_weight]
2025-03-21T20:23:46.9661859Z     %p_getattr_l__self___encoder_layer___5___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___5___output_dense_bias]
2025-03-21T20:23:46.9663122Z     %p_getattr_l__self___encoder_layer___5___output_bottleneck_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___5___output_bottleneck_dense_weight]
2025-03-21T20:23:46.9664469Z     %p_getattr_l__self___encoder_layer___5___output_bottleneck_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___5___output_bottleneck_dense_bias]
2025-03-21T20:23:46.9665801Z     %p_getattr_l__self___encoder_layer___6___bottleneck_input_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___6___bottleneck_input_dense_weight]
2025-03-21T20:23:46.9667123Z     %p_getattr_l__self___encoder_layer___6___bottleneck_input_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___6___bottleneck_input_dense_bias]
2025-03-21T20:23:46.9668483Z     %p_getattr_l__self___encoder_layer___6___bottleneck_attention_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___6___bottleneck_attention_dense_weight]
2025-03-21T20:23:46.9669886Z     %p_getattr_l__self___encoder_layer___6___bottleneck_attention_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___6___bottleneck_attention_dense_bias]
2025-03-21T20:23:46.9671235Z     %p_getattr_l__self___encoder_layer___6___attention_self_query_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___6___attention_self_query_weight]
2025-03-21T20:23:46.9672510Z     %p_getattr_l__self___encoder_layer___6___attention_self_query_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___6___attention_self_query_bias]
2025-03-21T20:23:46.9673872Z     %p_getattr_l__self___encoder_layer___6___attention_self_key_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___6___attention_self_key_weight]
2025-03-21T20:23:46.9675104Z     %p_getattr_l__self___encoder_layer___6___attention_self_key_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___6___attention_self_key_bias]
2025-03-21T20:23:46.9676369Z     %p_getattr_l__self___encoder_layer___6___attention_self_value_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___6___attention_self_value_weight]
2025-03-21T20:23:46.9677650Z     %p_getattr_l__self___encoder_layer___6___attention_self_value_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___6___attention_self_value_bias]
2025-03-21T20:23:46.9678942Z     %p_getattr_l__self___encoder_layer___6___attention_output_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___6___attention_output_dense_weight]
2025-03-21T20:23:46.9680311Z     %p_getattr_l__self___encoder_layer___6___attention_output_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___6___attention_output_dense_bias]
2025-03-21T20:23:46.9681904Z     %p_getattr_getattr_l__self___encoder_layer___6___ffn___0___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___6___ffn___0___intermediate_dense_weight]
2025-03-21T20:23:46.9683486Z     %p_getattr_getattr_l__self___encoder_layer___6___ffn___0___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___6___ffn___0___intermediate_dense_bias]
2025-03-21T20:23:46.9684956Z     %p_getattr_getattr_l__self___encoder_layer___6___ffn___0___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___6___ffn___0___output_dense_weight]
2025-03-21T20:23:46.9686370Z     %p_getattr_getattr_l__self___encoder_layer___6___ffn___0___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___6___ffn___0___output_dense_bias]
2025-03-21T20:23:46.9687829Z     %p_getattr_getattr_l__self___encoder_layer___6___ffn___1___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___6___ffn___1___intermediate_dense_weight]
2025-03-21T20:23:46.9689348Z     %p_getattr_getattr_l__self___encoder_layer___6___ffn___1___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___6___ffn___1___intermediate_dense_bias]
2025-03-21T20:23:46.9690807Z     %p_getattr_getattr_l__self___encoder_layer___6___ffn___1___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___6___ffn___1___output_dense_weight]
2025-03-21T20:23:46.9692194Z     %p_getattr_getattr_l__self___encoder_layer___6___ffn___1___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___6___ffn___1___output_dense_bias]
2025-03-21T20:23:46.9693660Z     %p_getattr_getattr_l__self___encoder_layer___6___ffn___2___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___6___ffn___2___intermediate_dense_weight]
2025-03-21T20:23:46.9695180Z     %p_getattr_getattr_l__self___encoder_layer___6___ffn___2___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___6___ffn___2___intermediate_dense_bias]
2025-03-21T20:23:46.9696639Z     %p_getattr_getattr_l__self___encoder_layer___6___ffn___2___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___6___ffn___2___output_dense_weight]
2025-03-21T20:23:46.9698047Z     %p_getattr_getattr_l__self___encoder_layer___6___ffn___2___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___6___ffn___2___output_dense_bias]
2025-03-21T20:23:46.9699392Z     %p_getattr_l__self___encoder_layer___6___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___6___intermediate_dense_weight]
2025-03-21T20:23:46.9700657Z     %p_getattr_l__self___encoder_layer___6___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___6___intermediate_dense_bias]
2025-03-21T20:23:46.9701866Z     %p_getattr_l__self___encoder_layer___6___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___6___output_dense_weight]
2025-03-21T20:23:46.9703320Z     %p_getattr_l__self___encoder_layer___6___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___6___output_dense_bias]
2025-03-21T20:23:46.9704577Z     %p_getattr_l__self___encoder_layer___6___output_bottleneck_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___6___output_bottleneck_dense_weight]
2025-03-21T20:23:46.9706033Z     %p_getattr_l__self___encoder_layer___6___output_bottleneck_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___6___output_bottleneck_dense_bias]
2025-03-21T20:23:46.9707359Z     %p_getattr_l__self___encoder_layer___7___bottleneck_input_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___7___bottleneck_input_dense_weight]
2025-03-21T20:23:46.9708690Z     %p_getattr_l__self___encoder_layer___7___bottleneck_input_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___7___bottleneck_input_dense_bias]
2025-03-21T20:23:46.9710118Z     %p_getattr_l__self___encoder_layer___7___bottleneck_attention_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___7___bottleneck_attention_dense_weight]
2025-03-21T20:23:46.9711512Z     %p_getattr_l__self___encoder_layer___7___bottleneck_attention_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___7___bottleneck_attention_dense_bias]
2025-03-21T20:23:46.9712847Z     %p_getattr_l__self___encoder_layer___7___attention_self_query_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___7___attention_self_query_weight]
2025-03-21T20:23:46.9714204Z     %p_getattr_l__self___encoder_layer___7___attention_self_query_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___7___attention_self_query_bias]
2025-03-21T20:23:46.9715467Z     %p_getattr_l__self___encoder_layer___7___attention_self_key_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___7___attention_self_key_weight]
2025-03-21T20:23:46.9716716Z     %p_getattr_l__self___encoder_layer___7___attention_self_key_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___7___attention_self_key_bias]
2025-03-21T20:23:46.9717971Z     %p_getattr_l__self___encoder_layer___7___attention_self_value_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___7___attention_self_value_weight]
2025-03-21T20:23:46.9719257Z     %p_getattr_l__self___encoder_layer___7___attention_self_value_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___7___attention_self_value_bias]
2025-03-21T20:23:46.9720548Z     %p_getattr_l__self___encoder_layer___7___attention_output_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___7___attention_output_dense_weight]
2025-03-21T20:23:46.9721874Z     %p_getattr_l__self___encoder_layer___7___attention_output_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___7___attention_output_dense_bias]
2025-03-21T20:23:46.9723291Z     %p_getattr_getattr_l__self___encoder_layer___7___ffn___0___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___7___ffn___0___intermediate_dense_weight]
2025-03-21T20:23:46.9724807Z     %p_getattr_getattr_l__self___encoder_layer___7___ffn___0___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___7___ffn___0___intermediate_dense_bias]
2025-03-21T20:23:46.9726269Z     %p_getattr_getattr_l__self___encoder_layer___7___ffn___0___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___7___ffn___0___output_dense_weight]
2025-03-21T20:23:46.9727692Z     %p_getattr_getattr_l__self___encoder_layer___7___ffn___0___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___7___ffn___0___output_dense_bias]
2025-03-21T20:23:46.9729156Z     %p_getattr_getattr_l__self___encoder_layer___7___ffn___1___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___7___ffn___1___intermediate_dense_weight]
2025-03-21T20:23:46.9730682Z     %p_getattr_getattr_l__self___encoder_layer___7___ffn___1___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___7___ffn___1___intermediate_dense_bias]
2025-03-21T20:23:46.9732212Z     %p_getattr_getattr_l__self___encoder_layer___7___ffn___1___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___7___ffn___1___output_dense_weight]
2025-03-21T20:23:46.9733617Z     %p_getattr_getattr_l__self___encoder_layer___7___ffn___1___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___7___ffn___1___output_dense_bias]
2025-03-21T20:23:46.9735123Z     %p_getattr_getattr_l__self___encoder_layer___7___ffn___2___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___7___ffn___2___intermediate_dense_weight]
2025-03-21T20:23:46.9736643Z     %p_getattr_getattr_l__self___encoder_layer___7___ffn___2___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___7___ffn___2___intermediate_dense_bias]
2025-03-21T20:23:46.9738112Z     %p_getattr_getattr_l__self___encoder_layer___7___ffn___2___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___7___ffn___2___output_dense_weight]
2025-03-21T20:23:46.9739510Z     %p_getattr_getattr_l__self___encoder_layer___7___ffn___2___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___7___ffn___2___output_dense_bias]
2025-03-21T20:23:46.9740850Z     %p_getattr_l__self___encoder_layer___7___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___7___intermediate_dense_weight]
2025-03-21T20:23:46.9742121Z     %p_getattr_l__self___encoder_layer___7___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___7___intermediate_dense_bias]
2025-03-21T20:23:46.9743341Z     %p_getattr_l__self___encoder_layer___7___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___7___output_dense_weight]
2025-03-21T20:23:46.9744508Z     %p_getattr_l__self___encoder_layer___7___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___7___output_dense_bias]
2025-03-21T20:23:46.9745759Z     %p_getattr_l__self___encoder_layer___7___output_bottleneck_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___7___output_bottleneck_dense_weight]
2025-03-21T20:23:46.9747102Z     %p_getattr_l__self___encoder_layer___7___output_bottleneck_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___7___output_bottleneck_dense_bias]
2025-03-21T20:23:46.9748439Z     %p_getattr_l__self___encoder_layer___8___bottleneck_input_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___8___bottleneck_input_dense_weight]
2025-03-21T20:23:46.9749759Z     %p_getattr_l__self___encoder_layer___8___bottleneck_input_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___8___bottleneck_input_dense_bias]
2025-03-21T20:23:46.9751116Z     %p_getattr_l__self___encoder_layer___8___bottleneck_attention_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___8___bottleneck_attention_dense_weight]
2025-03-21T20:23:46.9752496Z     %p_getattr_l__self___encoder_layer___8___bottleneck_attention_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___8___bottleneck_attention_dense_bias]
2025-03-21T20:23:46.9753913Z     %p_getattr_l__self___encoder_layer___8___attention_self_query_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___8___attention_self_query_weight]
2025-03-21T20:23:46.9755198Z     %p_getattr_l__self___encoder_layer___8___attention_self_query_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___8___attention_self_query_bias]
2025-03-21T20:23:46.9756465Z     %p_getattr_l__self___encoder_layer___8___attention_self_key_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___8___attention_self_key_weight]
2025-03-21T20:23:46.9757772Z     %p_getattr_l__self___encoder_layer___8___attention_self_key_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___8___attention_self_key_bias]
2025-03-21T20:23:46.9759036Z     %p_getattr_l__self___encoder_layer___8___attention_self_value_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___8___attention_self_value_weight]
2025-03-21T20:23:46.9760325Z     %p_getattr_l__self___encoder_layer___8___attention_self_value_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___8___attention_self_value_bias]
2025-03-21T20:23:46.9761695Z     %p_getattr_l__self___encoder_layer___8___attention_output_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___8___attention_output_dense_weight]
2025-03-21T20:23:46.9763012Z     %p_getattr_l__self___encoder_layer___8___attention_output_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___8___attention_output_dense_bias]
2025-03-21T20:23:46.9764437Z     %p_getattr_getattr_l__self___encoder_layer___8___ffn___0___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___8___ffn___0___intermediate_dense_weight]
2025-03-21T20:23:46.9765957Z     %p_getattr_getattr_l__self___encoder_layer___8___ffn___0___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___8___ffn___0___intermediate_dense_bias]
2025-03-21T20:23:46.9767412Z     %p_getattr_getattr_l__self___encoder_layer___8___ffn___0___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___8___ffn___0___output_dense_weight]
2025-03-21T20:23:46.9768820Z     %p_getattr_getattr_l__self___encoder_layer___8___ffn___0___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___8___ffn___0___output_dense_bias]
2025-03-21T20:23:46.9770289Z     %p_getattr_getattr_l__self___encoder_layer___8___ffn___1___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___8___ffn___1___intermediate_dense_weight]
2025-03-21T20:23:46.9771818Z     %p_getattr_getattr_l__self___encoder_layer___8___ffn___1___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___8___ffn___1___intermediate_dense_bias]
2025-03-21T20:23:46.9773285Z     %p_getattr_getattr_l__self___encoder_layer___8___ffn___1___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___8___ffn___1___output_dense_weight]
2025-03-21T20:23:46.9774703Z     %p_getattr_getattr_l__self___encoder_layer___8___ffn___1___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___8___ffn___1___output_dense_bias]
2025-03-21T20:23:46.9776172Z     %p_getattr_getattr_l__self___encoder_layer___8___ffn___2___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___8___ffn___2___intermediate_dense_weight]
2025-03-21T20:23:46.9777695Z     %p_getattr_getattr_l__self___encoder_layer___8___ffn___2___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___8___ffn___2___intermediate_dense_bias]
2025-03-21T20:23:46.9779162Z     %p_getattr_getattr_l__self___encoder_layer___8___ffn___2___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___8___ffn___2___output_dense_weight]
2025-03-21T20:23:46.9780576Z     %p_getattr_getattr_l__self___encoder_layer___8___ffn___2___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___8___ffn___2___output_dense_bias]
2025-03-21T20:23:46.9781918Z     %p_getattr_l__self___encoder_layer___8___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___8___intermediate_dense_weight]
2025-03-21T20:23:46.9783181Z     %p_getattr_l__self___encoder_layer___8___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___8___intermediate_dense_bias]
2025-03-21T20:23:46.9784433Z     %p_getattr_l__self___encoder_layer___8___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___8___output_dense_weight]
2025-03-21T20:23:46.9785603Z     %p_getattr_l__self___encoder_layer___8___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___8___output_dense_bias]
2025-03-21T20:23:46.9786900Z     %p_getattr_l__self___encoder_layer___8___output_bottleneck_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___8___output_bottleneck_dense_weight]
2025-03-21T20:23:46.9788249Z     %p_getattr_l__self___encoder_layer___8___output_bottleneck_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___8___output_bottleneck_dense_bias]
2025-03-21T20:23:46.9789585Z     %p_getattr_l__self___encoder_layer___9___bottleneck_input_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___9___bottleneck_input_dense_weight]
2025-03-21T20:23:46.9790913Z     %p_getattr_l__self___encoder_layer___9___bottleneck_input_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___9___bottleneck_input_dense_bias]
2025-03-21T20:23:46.9792278Z     %p_getattr_l__self___encoder_layer___9___bottleneck_attention_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___9___bottleneck_attention_dense_weight]
2025-03-21T20:23:46.9793771Z     %p_getattr_l__self___encoder_layer___9___bottleneck_attention_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___9___bottleneck_attention_dense_bias]
2025-03-21T20:23:46.9795114Z     %p_getattr_l__self___encoder_layer___9___attention_self_query_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___9___attention_self_query_weight]
2025-03-21T20:23:46.9796391Z     %p_getattr_l__self___encoder_layer___9___attention_self_query_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___9___attention_self_query_bias]
2025-03-21T20:23:46.9797648Z     %p_getattr_l__self___encoder_layer___9___attention_self_key_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___9___attention_self_key_weight]
2025-03-21T20:23:46.9798890Z     %p_getattr_l__self___encoder_layer___9___attention_self_key_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___9___attention_self_key_bias]
2025-03-21T20:23:46.9800156Z     %p_getattr_l__self___encoder_layer___9___attention_self_value_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___9___attention_self_value_weight]
2025-03-21T20:23:46.9801434Z     %p_getattr_l__self___encoder_layer___9___attention_self_value_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___9___attention_self_value_bias]
2025-03-21T20:23:46.9803021Z     %p_getattr_l__self___encoder_layer___9___attention_output_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___9___attention_output_dense_weight]
2025-03-21T20:23:46.9804347Z     %p_getattr_l__self___encoder_layer___9___attention_output_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___9___attention_output_dense_bias]
2025-03-21T20:23:46.9805769Z     %p_getattr_getattr_l__self___encoder_layer___9___ffn___0___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___9___ffn___0___intermediate_dense_weight]
2025-03-21T20:23:46.9807291Z     %p_getattr_getattr_l__self___encoder_layer___9___ffn___0___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___9___ffn___0___intermediate_dense_bias]
2025-03-21T20:23:46.9808751Z     %p_getattr_getattr_l__self___encoder_layer___9___ffn___0___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___9___ffn___0___output_dense_weight]
2025-03-21T20:23:46.9810271Z     %p_getattr_getattr_l__self___encoder_layer___9___ffn___0___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___9___ffn___0___output_dense_bias]
2025-03-21T20:23:46.9811735Z     %p_getattr_getattr_l__self___encoder_layer___9___ffn___1___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___9___ffn___1___intermediate_dense_weight]
2025-03-21T20:23:46.9813320Z     %p_getattr_getattr_l__self___encoder_layer___9___ffn___1___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___9___ffn___1___intermediate_dense_bias]
2025-03-21T20:23:46.9814786Z     %p_getattr_getattr_l__self___encoder_layer___9___ffn___1___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___9___ffn___1___output_dense_weight]
2025-03-21T20:23:46.9816187Z     %p_getattr_getattr_l__self___encoder_layer___9___ffn___1___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___9___ffn___1___output_dense_bias]
2025-03-21T20:23:46.9817655Z     %p_getattr_getattr_l__self___encoder_layer___9___ffn___2___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___9___ffn___2___intermediate_dense_weight]
2025-03-21T20:23:46.9819170Z     %p_getattr_getattr_l__self___encoder_layer___9___ffn___2___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___9___ffn___2___intermediate_dense_bias]
2025-03-21T20:23:46.9820637Z     %p_getattr_getattr_l__self___encoder_layer___9___ffn___2___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___9___ffn___2___output_dense_weight]
2025-03-21T20:23:46.9822042Z     %p_getattr_getattr_l__self___encoder_layer___9___ffn___2___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___9___ffn___2___output_dense_bias]
2025-03-21T20:23:46.9823384Z     %p_getattr_l__self___encoder_layer___9___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___9___intermediate_dense_weight]
2025-03-21T20:23:46.9824646Z     %p_getattr_l__self___encoder_layer___9___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___9___intermediate_dense_bias]
2025-03-21T20:23:46.9825863Z     %p_getattr_l__self___encoder_layer___9___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___9___output_dense_weight]
2025-03-21T20:23:46.9827029Z     %p_getattr_l__self___encoder_layer___9___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___9___output_dense_bias]
2025-03-21T20:23:46.9828266Z     %p_getattr_l__self___encoder_layer___9___output_bottleneck_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___9___output_bottleneck_dense_weight]
2025-03-21T20:23:46.9829615Z     %p_getattr_l__self___encoder_layer___9___output_bottleneck_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___9___output_bottleneck_dense_bias]
2025-03-21T20:23:46.9830951Z     %p_getattr_l__self___encoder_layer___10___bottleneck_input_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___10___bottleneck_input_dense_weight]
2025-03-21T20:23:46.9832286Z     %p_getattr_l__self___encoder_layer___10___bottleneck_input_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___10___bottleneck_input_dense_bias]
2025-03-21T20:23:46.9833767Z     %p_getattr_l__self___encoder_layer___10___bottleneck_attention_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___10___bottleneck_attention_dense_weight]
2025-03-21T20:23:46.9835176Z     %p_getattr_l__self___encoder_layer___10___bottleneck_attention_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___10___bottleneck_attention_dense_bias]
2025-03-21T20:23:46.9836597Z     %p_getattr_l__self___encoder_layer___10___attention_self_query_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___10___attention_self_query_weight]
2025-03-21T20:23:46.9837898Z     %p_getattr_l__self___encoder_layer___10___attention_self_query_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___10___attention_self_query_bias]
2025-03-21T20:23:46.9839224Z     %p_getattr_l__self___encoder_layer___10___attention_self_key_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___10___attention_self_key_weight]
2025-03-21T20:23:46.9840487Z     %p_getattr_l__self___encoder_layer___10___attention_self_key_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___10___attention_self_key_bias]
2025-03-21T20:23:46.9841765Z     %p_getattr_l__self___encoder_layer___10___attention_self_value_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___10___attention_self_value_weight]
2025-03-21T20:23:46.9843049Z     %p_getattr_l__self___encoder_layer___10___attention_self_value_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___10___attention_self_value_bias]
2025-03-21T20:23:46.9844356Z     %p_getattr_l__self___encoder_layer___10___attention_output_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___10___attention_output_dense_weight]
2025-03-21T20:23:46.9845687Z     %p_getattr_l__self___encoder_layer___10___attention_output_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___10___attention_output_dense_bias]
2025-03-21T20:23:46.9847120Z     %p_getattr_getattr_l__self___encoder_layer___10___ffn___0___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___10___ffn___0___intermediate_dense_weight]
2025-03-21T20:23:46.9848655Z     %p_getattr_getattr_l__self___encoder_layer___10___ffn___0___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___10___ffn___0___intermediate_dense_bias]
2025-03-21T20:23:46.9850125Z     %p_getattr_getattr_l__self___encoder_layer___10___ffn___0___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___10___ffn___0___output_dense_weight]
2025-03-21T20:23:46.9851543Z     %p_getattr_getattr_l__self___encoder_layer___10___ffn___0___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___10___ffn___0___output_dense_bias]
2025-03-21T20:23:46.9853023Z     %p_getattr_getattr_l__self___encoder_layer___10___ffn___1___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___10___ffn___1___intermediate_dense_weight]
2025-03-21T20:23:46.9854546Z     %p_getattr_getattr_l__self___encoder_layer___10___ffn___1___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___10___ffn___1___intermediate_dense_bias]
2025-03-21T20:23:46.9856020Z     %p_getattr_getattr_l__self___encoder_layer___10___ffn___1___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___10___ffn___1___output_dense_weight]
2025-03-21T20:23:46.9857423Z     %p_getattr_getattr_l__self___encoder_layer___10___ffn___1___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___10___ffn___1___output_dense_bias]
2025-03-21T20:23:46.9858901Z     %p_getattr_getattr_l__self___encoder_layer___10___ffn___2___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___10___ffn___2___intermediate_dense_weight]
2025-03-21T20:23:46.9860416Z     %p_getattr_getattr_l__self___encoder_layer___10___ffn___2___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___10___ffn___2___intermediate_dense_bias]
2025-03-21T20:23:46.9861950Z     %p_getattr_getattr_l__self___encoder_layer___10___ffn___2___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___10___ffn___2___output_dense_weight]
2025-03-21T20:23:46.9863368Z     %p_getattr_getattr_l__self___encoder_layer___10___ffn___2___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___10___ffn___2___output_dense_bias]
2025-03-21T20:23:46.9864764Z     %p_getattr_l__self___encoder_layer___10___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___10___intermediate_dense_weight]
2025-03-21T20:23:46.9866044Z     %p_getattr_l__self___encoder_layer___10___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___10___intermediate_dense_bias]
2025-03-21T20:23:46.9867275Z     %p_getattr_l__self___encoder_layer___10___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___10___output_dense_weight]
2025-03-21T20:23:46.9868453Z     %p_getattr_l__self___encoder_layer___10___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___10___output_dense_bias]
2025-03-21T20:23:46.9869721Z     %p_getattr_l__self___encoder_layer___10___output_bottleneck_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___10___output_bottleneck_dense_weight]
2025-03-21T20:23:46.9871079Z     %p_getattr_l__self___encoder_layer___10___output_bottleneck_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___10___output_bottleneck_dense_bias]
2025-03-21T20:23:46.9872421Z     %p_getattr_l__self___encoder_layer___11___bottleneck_input_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___11___bottleneck_input_dense_weight]
2025-03-21T20:23:46.9873847Z     %p_getattr_l__self___encoder_layer___11___bottleneck_input_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___11___bottleneck_input_dense_bias]
2025-03-21T20:23:46.9875209Z     %p_getattr_l__self___encoder_layer___11___bottleneck_attention_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___11___bottleneck_attention_dense_weight]
2025-03-21T20:23:46.9876622Z     %p_getattr_l__self___encoder_layer___11___bottleneck_attention_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___11___bottleneck_attention_dense_bias]
2025-03-21T20:23:46.9877977Z     %p_getattr_l__self___encoder_layer___11___attention_self_query_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___11___attention_self_query_weight]
2025-03-21T20:23:46.9879270Z     %p_getattr_l__self___encoder_layer___11___attention_self_query_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___11___attention_self_query_bias]
2025-03-21T20:23:46.9880543Z     %p_getattr_l__self___encoder_layer___11___attention_self_key_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___11___attention_self_key_weight]
2025-03-21T20:23:46.9881804Z     %p_getattr_l__self___encoder_layer___11___attention_self_key_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___11___attention_self_key_bias]
2025-03-21T20:23:46.9883092Z     %p_getattr_l__self___encoder_layer___11___attention_self_value_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___11___attention_self_value_weight]
2025-03-21T20:23:46.9884390Z     %p_getattr_l__self___encoder_layer___11___attention_self_value_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___11___attention_self_value_bias]
2025-03-21T20:23:46.9885697Z     %p_getattr_l__self___encoder_layer___11___attention_output_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___11___attention_output_dense_weight]
2025-03-21T20:23:46.9887025Z     %p_getattr_l__self___encoder_layer___11___attention_output_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___11___attention_output_dense_bias]
2025-03-21T20:23:46.9888507Z     %p_getattr_getattr_l__self___encoder_layer___11___ffn___0___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___11___ffn___0___intermediate_dense_weight]
2025-03-21T20:23:46.9890041Z     %p_getattr_getattr_l__self___encoder_layer___11___ffn___0___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___11___ffn___0___intermediate_dense_bias]
2025-03-21T20:23:46.9891593Z     %p_getattr_getattr_l__self___encoder_layer___11___ffn___0___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___11___ffn___0___output_dense_weight]
2025-03-21T20:23:46.9893016Z     %p_getattr_getattr_l__self___encoder_layer___11___ffn___0___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___11___ffn___0___output_dense_bias]
2025-03-21T20:23:46.9894499Z     %p_getattr_getattr_l__self___encoder_layer___11___ffn___1___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___11___ffn___1___intermediate_dense_weight]
2025-03-21T20:23:46.9896034Z     %p_getattr_getattr_l__self___encoder_layer___11___ffn___1___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___11___ffn___1___intermediate_dense_bias]
2025-03-21T20:23:46.9897517Z     %p_getattr_getattr_l__self___encoder_layer___11___ffn___1___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___11___ffn___1___output_dense_weight]
2025-03-21T20:23:46.9898939Z     %p_getattr_getattr_l__self___encoder_layer___11___ffn___1___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___11___ffn___1___output_dense_bias]
2025-03-21T20:23:46.9900417Z     %p_getattr_getattr_l__self___encoder_layer___11___ffn___2___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___11___ffn___2___intermediate_dense_weight]
2025-03-21T20:23:46.9901959Z     %p_getattr_getattr_l__self___encoder_layer___11___ffn___2___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___11___ffn___2___intermediate_dense_bias]
2025-03-21T20:23:46.9903658Z     %p_getattr_getattr_l__self___encoder_layer___11___ffn___2___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___11___ffn___2___output_dense_weight]
2025-03-21T20:23:46.9905083Z     %p_getattr_getattr_l__self___encoder_layer___11___ffn___2___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___11___ffn___2___output_dense_bias]
2025-03-21T20:23:46.9906430Z     %p_getattr_l__self___encoder_layer___11___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___11___intermediate_dense_weight]
2025-03-21T20:23:46.9919348Z     %p_getattr_l__self___encoder_layer___11___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___11___intermediate_dense_bias]
2025-03-21T20:23:46.9920711Z     %p_getattr_l__self___encoder_layer___11___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___11___output_dense_weight]
2025-03-21T20:23:46.9921899Z     %p_getattr_l__self___encoder_layer___11___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___11___output_dense_bias]
2025-03-21T20:23:46.9923165Z     %p_getattr_l__self___encoder_layer___11___output_bottleneck_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___11___output_bottleneck_dense_weight]
2025-03-21T20:23:46.9924499Z     %p_getattr_l__self___encoder_layer___11___output_bottleneck_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___11___output_bottleneck_dense_bias]
2025-03-21T20:23:46.9926056Z     %p_getattr_l__self___encoder_layer___12___bottleneck_input_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___12___bottleneck_input_dense_weight]
2025-03-21T20:23:46.9927384Z     %p_getattr_l__self___encoder_layer___12___bottleneck_input_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___12___bottleneck_input_dense_bias]
2025-03-21T20:23:46.9928848Z     %p_getattr_l__self___encoder_layer___12___bottleneck_attention_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___12___bottleneck_attention_dense_weight]
2025-03-21T20:23:46.9930266Z     %p_getattr_l__self___encoder_layer___12___bottleneck_attention_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___12___bottleneck_attention_dense_bias]
2025-03-21T20:23:46.9931620Z     %p_getattr_l__self___encoder_layer___12___attention_self_query_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___12___attention_self_query_weight]
2025-03-21T20:23:46.9932927Z     %p_getattr_l__self___encoder_layer___12___attention_self_query_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___12___attention_self_query_bias]
2025-03-21T20:23:46.9934195Z     %p_getattr_l__self___encoder_layer___12___attention_self_key_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___12___attention_self_key_weight]
2025-03-21T20:23:46.9935462Z     %p_getattr_l__self___encoder_layer___12___attention_self_key_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___12___attention_self_key_bias]
2025-03-21T20:23:46.9936742Z     %p_getattr_l__self___encoder_layer___12___attention_self_value_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___12___attention_self_value_weight]
2025-03-21T20:23:46.9938035Z     %p_getattr_l__self___encoder_layer___12___attention_self_value_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___12___attention_self_value_bias]
2025-03-21T20:23:46.9939349Z     %p_getattr_l__self___encoder_layer___12___attention_output_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___12___attention_output_dense_weight]
2025-03-21T20:23:46.9940683Z     %p_getattr_l__self___encoder_layer___12___attention_output_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___12___attention_output_dense_bias]
2025-03-21T20:23:46.9942127Z     %p_getattr_getattr_l__self___encoder_layer___12___ffn___0___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___12___ffn___0___intermediate_dense_weight]
2025-03-21T20:23:46.9943663Z     %p_getattr_getattr_l__self___encoder_layer___12___ffn___0___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___12___ffn___0___intermediate_dense_bias]
2025-03-21T20:23:46.9945146Z     %p_getattr_getattr_l__self___encoder_layer___12___ffn___0___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___12___ffn___0___output_dense_weight]
2025-03-21T20:23:46.9946559Z     %p_getattr_getattr_l__self___encoder_layer___12___ffn___0___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___12___ffn___0___output_dense_bias]
2025-03-21T20:23:46.9948036Z     %p_getattr_getattr_l__self___encoder_layer___12___ffn___1___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___12___ffn___1___intermediate_dense_weight]
2025-03-21T20:23:46.9949571Z     %p_getattr_getattr_l__self___encoder_layer___12___ffn___1___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___12___ffn___1___intermediate_dense_bias]
2025-03-21T20:23:46.9951030Z     %p_getattr_getattr_l__self___encoder_layer___12___ffn___1___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___12___ffn___1___output_dense_weight]
2025-03-21T20:23:46.9952492Z     %p_getattr_getattr_l__self___encoder_layer___12___ffn___1___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___12___ffn___1___output_dense_bias]
2025-03-21T20:23:46.9954110Z     %p_getattr_getattr_l__self___encoder_layer___12___ffn___2___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___12___ffn___2___intermediate_dense_weight]
2025-03-21T20:23:46.9955703Z     %p_getattr_getattr_l__self___encoder_layer___12___ffn___2___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___12___ffn___2___intermediate_dense_bias]
2025-03-21T20:23:46.9957180Z     %p_getattr_getattr_l__self___encoder_layer___12___ffn___2___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___12___ffn___2___output_dense_weight]
2025-03-21T20:23:46.9958598Z     %p_getattr_getattr_l__self___encoder_layer___12___ffn___2___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___12___ffn___2___output_dense_bias]
2025-03-21T20:23:46.9959951Z     %p_getattr_l__self___encoder_layer___12___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___12___intermediate_dense_weight]
2025-03-21T20:23:46.9961244Z     %p_getattr_l__self___encoder_layer___12___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___12___intermediate_dense_bias]
2025-03-21T20:23:46.9962473Z     %p_getattr_l__self___encoder_layer___12___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___12___output_dense_weight]
2025-03-21T20:23:46.9963653Z     %p_getattr_l__self___encoder_layer___12___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___12___output_dense_bias]
2025-03-21T20:23:46.9964927Z     %p_getattr_l__self___encoder_layer___12___output_bottleneck_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___12___output_bottleneck_dense_weight]
2025-03-21T20:23:46.9966267Z     %p_getattr_l__self___encoder_layer___12___output_bottleneck_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___12___output_bottleneck_dense_bias]
2025-03-21T20:23:46.9967607Z     %p_getattr_l__self___encoder_layer___13___bottleneck_input_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___13___bottleneck_input_dense_weight]
2025-03-21T20:23:46.9968932Z     %p_getattr_l__self___encoder_layer___13___bottleneck_input_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___13___bottleneck_input_dense_bias]
2025-03-21T20:23:46.9970303Z     %p_getattr_l__self___encoder_layer___13___bottleneck_attention_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___13___bottleneck_attention_dense_weight]
2025-03-21T20:23:46.9971714Z     %p_getattr_l__self___encoder_layer___13___bottleneck_attention_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___13___bottleneck_attention_dense_bias]
2025-03-21T20:23:46.9973070Z     %p_getattr_l__self___encoder_layer___13___attention_self_query_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___13___attention_self_query_weight]
2025-03-21T20:23:46.9974371Z     %p_getattr_l__self___encoder_layer___13___attention_self_query_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___13___attention_self_query_bias]
2025-03-21T20:23:46.9975645Z     %p_getattr_l__self___encoder_layer___13___attention_self_key_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___13___attention_self_key_weight]
2025-03-21T20:23:46.9976897Z     %p_getattr_l__self___encoder_layer___13___attention_self_key_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___13___attention_self_key_bias]
2025-03-21T20:23:46.9978254Z     %p_getattr_l__self___encoder_layer___13___attention_self_value_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___13___attention_self_value_weight]
2025-03-21T20:23:46.9979532Z     %p_getattr_l__self___encoder_layer___13___attention_self_value_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___13___attention_self_value_bias]
2025-03-21T20:23:46.9980895Z     %p_getattr_l__self___encoder_layer___13___attention_output_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___13___attention_output_dense_weight]
2025-03-21T20:23:46.9982235Z     %p_getattr_l__self___encoder_layer___13___attention_output_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___13___attention_output_dense_bias]
2025-03-21T20:23:46.9983673Z     %p_getattr_getattr_l__self___encoder_layer___13___ffn___0___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___13___ffn___0___intermediate_dense_weight]
2025-03-21T20:23:46.9985212Z     %p_getattr_getattr_l__self___encoder_layer___13___ffn___0___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___13___ffn___0___intermediate_dense_bias]
2025-03-21T20:23:46.9986675Z     %p_getattr_getattr_l__self___encoder_layer___13___ffn___0___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___13___ffn___0___output_dense_weight]
2025-03-21T20:23:46.9988095Z     %p_getattr_getattr_l__self___encoder_layer___13___ffn___0___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___13___ffn___0___output_dense_bias]
2025-03-21T20:23:46.9989574Z     %p_getattr_getattr_l__self___encoder_layer___13___ffn___1___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___13___ffn___1___intermediate_dense_weight]
2025-03-21T20:23:46.9991099Z     %p_getattr_getattr_l__self___encoder_layer___13___ffn___1___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___13___ffn___1___intermediate_dense_bias]
2025-03-21T20:23:46.9992575Z     %p_getattr_getattr_l__self___encoder_layer___13___ffn___1___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___13___ffn___1___output_dense_weight]
2025-03-21T20:23:46.9994083Z     %p_getattr_getattr_l__self___encoder_layer___13___ffn___1___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___13___ffn___1___output_dense_bias]
2025-03-21T20:23:46.9995562Z     %p_getattr_getattr_l__self___encoder_layer___13___ffn___2___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___13___ffn___2___intermediate_dense_weight]
2025-03-21T20:23:46.9997079Z     %p_getattr_getattr_l__self___encoder_layer___13___ffn___2___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___13___ffn___2___intermediate_dense_bias]
2025-03-21T20:23:46.9998548Z     %p_getattr_getattr_l__self___encoder_layer___13___ffn___2___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___13___ffn___2___output_dense_weight]
2025-03-21T20:23:46.9999975Z     %p_getattr_getattr_l__self___encoder_layer___13___ffn___2___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___13___ffn___2___output_dense_bias]
2025-03-21T20:23:47.0001335Z     %p_getattr_l__self___encoder_layer___13___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___13___intermediate_dense_weight]
2025-03-21T20:23:47.0003009Z     %p_getattr_l__self___encoder_layer___13___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___13___intermediate_dense_bias]
2025-03-21T20:23:47.0004366Z     %p_getattr_l__self___encoder_layer___13___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___13___output_dense_weight]
2025-03-21T20:23:47.0005546Z     %p_getattr_l__self___encoder_layer___13___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___13___output_dense_bias]
2025-03-21T20:23:47.0006816Z     %p_getattr_l__self___encoder_layer___13___output_bottleneck_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___13___output_bottleneck_dense_weight]
2025-03-21T20:23:47.0008285Z     %p_getattr_l__self___encoder_layer___13___output_bottleneck_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___13___output_bottleneck_dense_bias]
2025-03-21T20:23:47.0009633Z     %p_getattr_l__self___encoder_layer___14___bottleneck_input_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___14___bottleneck_input_dense_weight]
2025-03-21T20:23:47.0010970Z     %p_getattr_l__self___encoder_layer___14___bottleneck_input_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___14___bottleneck_input_dense_bias]
2025-03-21T20:23:47.0012331Z     %p_getattr_l__self___encoder_layer___14___bottleneck_attention_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___14___bottleneck_attention_dense_weight]
2025-03-21T20:23:47.0013745Z     %p_getattr_l__self___encoder_layer___14___bottleneck_attention_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___14___bottleneck_attention_dense_bias]
2025-03-21T20:23:47.0015098Z     %p_getattr_l__self___encoder_layer___14___attention_self_query_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___14___attention_self_query_weight]
2025-03-21T20:23:47.0016401Z     %p_getattr_l__self___encoder_layer___14___attention_self_query_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___14___attention_self_query_bias]
2025-03-21T20:23:47.0017684Z     %p_getattr_l__self___encoder_layer___14___attention_self_key_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___14___attention_self_key_weight]
2025-03-21T20:23:47.0018941Z     %p_getattr_l__self___encoder_layer___14___attention_self_key_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___14___attention_self_key_bias]
2025-03-21T20:23:47.0020215Z     %p_getattr_l__self___encoder_layer___14___attention_self_value_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___14___attention_self_value_weight]
2025-03-21T20:23:47.0021506Z     %p_getattr_l__self___encoder_layer___14___attention_self_value_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___14___attention_self_value_bias]
2025-03-21T20:23:47.0022820Z     %p_getattr_l__self___encoder_layer___14___attention_output_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___14___attention_output_dense_weight]
2025-03-21T20:23:47.0024158Z     %p_getattr_l__self___encoder_layer___14___attention_output_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___14___attention_output_dense_bias]
2025-03-21T20:23:47.0025582Z     %p_getattr_getattr_l__self___encoder_layer___14___ffn___0___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___14___ffn___0___intermediate_dense_weight]
2025-03-21T20:23:47.0027117Z     %p_getattr_getattr_l__self___encoder_layer___14___ffn___0___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___14___ffn___0___intermediate_dense_bias]
2025-03-21T20:23:47.0028578Z     %p_getattr_getattr_l__self___encoder_layer___14___ffn___0___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___14___ffn___0___output_dense_weight]
2025-03-21T20:23:47.0030052Z     %p_getattr_getattr_l__self___encoder_layer___14___ffn___0___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___14___ffn___0___output_dense_bias]
2025-03-21T20:23:47.0031530Z     %p_getattr_getattr_l__self___encoder_layer___14___ffn___1___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___14___ffn___1___intermediate_dense_weight]
2025-03-21T20:23:47.0033197Z     %p_getattr_getattr_l__self___encoder_layer___14___ffn___1___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___14___ffn___1___intermediate_dense_bias]
2025-03-21T20:23:47.0034667Z     %p_getattr_getattr_l__self___encoder_layer___14___ffn___1___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___14___ffn___1___output_dense_weight]
2025-03-21T20:23:47.0036080Z     %p_getattr_getattr_l__self___encoder_layer___14___ffn___1___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___14___ffn___1___output_dense_bias]
2025-03-21T20:23:47.0037555Z     %p_getattr_getattr_l__self___encoder_layer___14___ffn___2___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___14___ffn___2___intermediate_dense_weight]
2025-03-21T20:23:47.0039087Z     %p_getattr_getattr_l__self___encoder_layer___14___ffn___2___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___14___ffn___2___intermediate_dense_bias]
2025-03-21T20:23:47.0040557Z     %p_getattr_getattr_l__self___encoder_layer___14___ffn___2___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___14___ffn___2___output_dense_weight]
2025-03-21T20:23:47.0041972Z     %p_getattr_getattr_l__self___encoder_layer___14___ffn___2___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___14___ffn___2___output_dense_bias]
2025-03-21T20:23:47.0043323Z     %p_getattr_l__self___encoder_layer___14___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___14___intermediate_dense_weight]
2025-03-21T20:23:47.0044597Z     %p_getattr_l__self___encoder_layer___14___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___14___intermediate_dense_bias]
2025-03-21T20:23:47.0045825Z     %p_getattr_l__self___encoder_layer___14___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___14___output_dense_weight]
2025-03-21T20:23:47.0047008Z     %p_getattr_l__self___encoder_layer___14___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___14___output_dense_bias]
2025-03-21T20:23:47.0048268Z     %p_getattr_l__self___encoder_layer___14___output_bottleneck_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___14___output_bottleneck_dense_weight]
2025-03-21T20:23:47.0049625Z     %p_getattr_l__self___encoder_layer___14___output_bottleneck_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___14___output_bottleneck_dense_bias]
2025-03-21T20:23:47.0050966Z     %p_getattr_l__self___encoder_layer___15___bottleneck_input_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___15___bottleneck_input_dense_weight]
2025-03-21T20:23:47.0052302Z     %p_getattr_l__self___encoder_layer___15___bottleneck_input_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___15___bottleneck_input_dense_bias]
2025-03-21T20:23:47.0053673Z     %p_getattr_l__self___encoder_layer___15___bottleneck_attention_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___15___bottleneck_attention_dense_weight]
2025-03-21T20:23:47.0055084Z     %p_getattr_l__self___encoder_layer___15___bottleneck_attention_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___15___bottleneck_attention_dense_bias]
2025-03-21T20:23:47.0056487Z     %p_getattr_l__self___encoder_layer___15___attention_self_query_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___15___attention_self_query_weight]
2025-03-21T20:23:47.0057768Z     %p_getattr_l__self___encoder_layer___15___attention_self_query_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___15___attention_self_query_bias]
2025-03-21T20:23:47.0059108Z     %p_getattr_l__self___encoder_layer___15___attention_self_key_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___15___attention_self_key_weight]
2025-03-21T20:23:47.0060367Z     %p_getattr_l__self___encoder_layer___15___attention_self_key_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___15___attention_self_key_bias]
2025-03-21T20:23:47.0061648Z     %p_getattr_l__self___encoder_layer___15___attention_self_value_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___15___attention_self_value_weight]
2025-03-21T20:23:47.0062945Z     %p_getattr_l__self___encoder_layer___15___attention_self_value_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___15___attention_self_value_bias]
2025-03-21T20:23:47.0064254Z     %p_getattr_l__self___encoder_layer___15___attention_output_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___15___attention_output_dense_weight]
2025-03-21T20:23:47.0065598Z     %p_getattr_l__self___encoder_layer___15___attention_output_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___15___attention_output_dense_bias]
2025-03-21T20:23:47.0067039Z     %p_getattr_getattr_l__self___encoder_layer___15___ffn___0___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___15___ffn___0___intermediate_dense_weight]
2025-03-21T20:23:47.0068582Z     %p_getattr_getattr_l__self___encoder_layer___15___ffn___0___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___15___ffn___0___intermediate_dense_bias]
2025-03-21T20:23:47.0070064Z     %p_getattr_getattr_l__self___encoder_layer___15___ffn___0___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___15___ffn___0___output_dense_weight]
2025-03-21T20:23:47.0071471Z     %p_getattr_getattr_l__self___encoder_layer___15___ffn___0___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___15___ffn___0___output_dense_bias]
2025-03-21T20:23:47.0073026Z     %p_getattr_getattr_l__self___encoder_layer___15___ffn___1___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___15___ffn___1___intermediate_dense_weight]
2025-03-21T20:23:47.0074568Z     %p_getattr_getattr_l__self___encoder_layer___15___ffn___1___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___15___ffn___1___intermediate_dense_bias]
2025-03-21T20:23:47.0076045Z     %p_getattr_getattr_l__self___encoder_layer___15___ffn___1___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___15___ffn___1___output_dense_weight]
2025-03-21T20:23:47.0077456Z     %p_getattr_getattr_l__self___encoder_layer___15___ffn___1___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___15___ffn___1___output_dense_bias]
2025-03-21T20:23:47.0078937Z     %p_getattr_getattr_l__self___encoder_layer___15___ffn___2___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___15___ffn___2___intermediate_dense_weight]
2025-03-21T20:23:47.0080468Z     %p_getattr_getattr_l__self___encoder_layer___15___ffn___2___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___15___ffn___2___intermediate_dense_bias]
2025-03-21T20:23:47.0082000Z     %p_getattr_getattr_l__self___encoder_layer___15___ffn___2___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___15___ffn___2___output_dense_weight]
2025-03-21T20:23:47.0083416Z     %p_getattr_getattr_l__self___encoder_layer___15___ffn___2___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___15___ffn___2___output_dense_bias]
2025-03-21T20:23:47.0084820Z     %p_getattr_l__self___encoder_layer___15___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___15___intermediate_dense_weight]
2025-03-21T20:23:47.0086105Z     %p_getattr_l__self___encoder_layer___15___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___15___intermediate_dense_bias]
2025-03-21T20:23:47.0087337Z     %p_getattr_l__self___encoder_layer___15___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___15___output_dense_weight]
2025-03-21T20:23:47.0088513Z     %p_getattr_l__self___encoder_layer___15___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___15___output_dense_bias]
2025-03-21T20:23:47.0089762Z     %p_getattr_l__self___encoder_layer___15___output_bottleneck_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___15___output_bottleneck_dense_weight]
2025-03-21T20:23:47.0091120Z     %p_getattr_l__self___encoder_layer___15___output_bottleneck_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___15___output_bottleneck_dense_bias]
2025-03-21T20:23:47.0092460Z     %p_getattr_l__self___encoder_layer___16___bottleneck_input_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___16___bottleneck_input_dense_weight]
2025-03-21T20:23:47.0093796Z     %p_getattr_l__self___encoder_layer___16___bottleneck_input_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___16___bottleneck_input_dense_bias]
2025-03-21T20:23:47.0095173Z     %p_getattr_l__self___encoder_layer___16___bottleneck_attention_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___16___bottleneck_attention_dense_weight]
2025-03-21T20:23:47.0096577Z     %p_getattr_l__self___encoder_layer___16___bottleneck_attention_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___16___bottleneck_attention_dense_bias]
2025-03-21T20:23:47.0097929Z     %p_getattr_l__self___encoder_layer___16___attention_self_query_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___16___attention_self_query_weight]
2025-03-21T20:23:47.0099223Z     %p_getattr_l__self___encoder_layer___16___attention_self_query_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___16___attention_self_query_bias]
2025-03-21T20:23:47.0100505Z     %p_getattr_l__self___encoder_layer___16___attention_self_key_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___16___attention_self_key_weight]
2025-03-21T20:23:47.0101766Z     %p_getattr_l__self___encoder_layer___16___attention_self_key_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___16___attention_self_key_bias]
2025-03-21T20:23:47.0103283Z     %p_getattr_l__self___encoder_layer___16___attention_self_value_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___16___attention_self_value_weight]
2025-03-21T20:23:47.0104586Z     %p_getattr_l__self___encoder_layer___16___attention_self_value_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___16___attention_self_value_bias]
2025-03-21T20:23:47.0105903Z     %p_getattr_l__self___encoder_layer___16___attention_output_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___16___attention_output_dense_weight]
2025-03-21T20:23:47.0107241Z     %p_getattr_l__self___encoder_layer___16___attention_output_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___16___attention_output_dense_bias]
2025-03-21T20:23:47.0108787Z     %p_getattr_getattr_l__self___encoder_layer___16___ffn___0___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___16___ffn___0___intermediate_dense_weight]
2025-03-21T20:23:47.0110320Z     %p_getattr_getattr_l__self___encoder_layer___16___ffn___0___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___16___ffn___0___intermediate_dense_bias]
2025-03-21T20:23:47.0111869Z     %p_getattr_getattr_l__self___encoder_layer___16___ffn___0___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___16___ffn___0___output_dense_weight]
2025-03-21T20:23:47.0113374Z     %p_getattr_getattr_l__self___encoder_layer___16___ffn___0___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___16___ffn___0___output_dense_bias]
2025-03-21T20:23:47.0114855Z     %p_getattr_getattr_l__self___encoder_layer___16___ffn___1___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___16___ffn___1___intermediate_dense_weight]
2025-03-21T20:23:47.0116392Z     %p_getattr_getattr_l__self___encoder_layer___16___ffn___1___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___16___ffn___1___intermediate_dense_bias]
2025-03-21T20:23:47.0117861Z     %p_getattr_getattr_l__self___encoder_layer___16___ffn___1___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___16___ffn___1___output_dense_weight]
2025-03-21T20:23:47.0119281Z     %p_getattr_getattr_l__self___encoder_layer___16___ffn___1___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___16___ffn___1___output_dense_bias]
2025-03-21T20:23:47.0120748Z     %p_getattr_getattr_l__self___encoder_layer___16___ffn___2___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___16___ffn___2___intermediate_dense_weight]
2025-03-21T20:23:47.0122272Z     %p_getattr_getattr_l__self___encoder_layer___16___ffn___2___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___16___ffn___2___intermediate_dense_bias]
2025-03-21T20:23:47.0123746Z     %p_getattr_getattr_l__self___encoder_layer___16___ffn___2___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___16___ffn___2___output_dense_weight]
2025-03-21T20:23:47.0125172Z     %p_getattr_getattr_l__self___encoder_layer___16___ffn___2___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___16___ffn___2___output_dense_bias]
2025-03-21T20:23:47.0126527Z     %p_getattr_l__self___encoder_layer___16___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___16___intermediate_dense_weight]
2025-03-21T20:23:47.0127815Z     %p_getattr_l__self___encoder_layer___16___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___16___intermediate_dense_bias]
2025-03-21T20:23:47.0129044Z     %p_getattr_l__self___encoder_layer___16___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___16___output_dense_weight]
2025-03-21T20:23:47.0130224Z     %p_getattr_l__self___encoder_layer___16___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___16___output_dense_bias]
2025-03-21T20:23:47.0131501Z     %p_getattr_l__self___encoder_layer___16___output_bottleneck_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___16___output_bottleneck_dense_weight]
2025-03-21T20:23:47.0132851Z     %p_getattr_l__self___encoder_layer___16___output_bottleneck_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___16___output_bottleneck_dense_bias]
2025-03-21T20:23:47.0134271Z     %p_getattr_l__self___encoder_layer___17___bottleneck_input_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___17___bottleneck_input_dense_weight]
2025-03-21T20:23:47.0135597Z     %p_getattr_l__self___encoder_layer___17___bottleneck_input_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___17___bottleneck_input_dense_bias]
2025-03-21T20:23:47.0137022Z     %p_getattr_l__self___encoder_layer___17___bottleneck_attention_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___17___bottleneck_attention_dense_weight]
2025-03-21T20:23:47.0138430Z     %p_getattr_l__self___encoder_layer___17___bottleneck_attention_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___17___bottleneck_attention_dense_bias]
2025-03-21T20:23:47.0139776Z     %p_getattr_l__self___encoder_layer___17___attention_self_query_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___17___attention_self_query_weight]
2025-03-21T20:23:47.0141082Z     %p_getattr_l__self___encoder_layer___17___attention_self_query_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___17___attention_self_query_bias]
2025-03-21T20:23:47.0142354Z     %p_getattr_l__self___encoder_layer___17___attention_self_key_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___17___attention_self_key_weight]
2025-03-21T20:23:47.0143614Z     %p_getattr_l__self___encoder_layer___17___attention_self_key_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___17___attention_self_key_bias]
2025-03-21T20:23:47.0144884Z     %p_getattr_l__self___encoder_layer___17___attention_self_value_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___17___attention_self_value_weight]
2025-03-21T20:23:47.0146174Z     %p_getattr_l__self___encoder_layer___17___attention_self_value_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___17___attention_self_value_bias]
2025-03-21T20:23:47.0147494Z     %p_getattr_l__self___encoder_layer___17___attention_output_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___17___attention_output_dense_weight]
2025-03-21T20:23:47.0148811Z     %p_getattr_l__self___encoder_layer___17___attention_output_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___17___attention_output_dense_bias]
2025-03-21T20:23:47.0150248Z     %p_getattr_getattr_l__self___encoder_layer___17___ffn___0___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___17___ffn___0___intermediate_dense_weight]
2025-03-21T20:23:47.0151773Z     %p_getattr_getattr_l__self___encoder_layer___17___ffn___0___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___17___ffn___0___intermediate_dense_bias]
2025-03-21T20:23:47.0153338Z     %p_getattr_getattr_l__self___encoder_layer___17___ffn___0___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___17___ffn___0___output_dense_weight]
2025-03-21T20:23:47.0154757Z     %p_getattr_getattr_l__self___encoder_layer___17___ffn___0___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___17___ffn___0___output_dense_bias]
2025-03-21T20:23:47.0156240Z     %p_getattr_getattr_l__self___encoder_layer___17___ffn___1___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___17___ffn___1___intermediate_dense_weight]
2025-03-21T20:23:47.0157791Z     %p_getattr_getattr_l__self___encoder_layer___17___ffn___1___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___17___ffn___1___intermediate_dense_bias]
2025-03-21T20:23:47.0159265Z     %p_getattr_getattr_l__self___encoder_layer___17___ffn___1___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___17___ffn___1___output_dense_weight]
2025-03-21T20:23:47.0160740Z     %p_getattr_getattr_l__self___encoder_layer___17___ffn___1___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___17___ffn___1___output_dense_bias]
2025-03-21T20:23:47.0162214Z     %p_getattr_getattr_l__self___encoder_layer___17___ffn___2___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___17___ffn___2___intermediate_dense_weight]
2025-03-21T20:23:47.0163803Z     %p_getattr_getattr_l__self___encoder_layer___17___ffn___2___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___17___ffn___2___intermediate_dense_bias]
2025-03-21T20:23:47.0165274Z     %p_getattr_getattr_l__self___encoder_layer___17___ffn___2___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___17___ffn___2___output_dense_weight]
2025-03-21T20:23:47.0166702Z     %p_getattr_getattr_l__self___encoder_layer___17___ffn___2___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___17___ffn___2___output_dense_bias]
2025-03-21T20:23:47.0167304Z     %p_getattr_l__self___encoder_layer___17___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___17___intermediate_dense_weight]
2025-03-21T20:23:47.0167877Z     %p_getattr_l__self___encoder_layer___17___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___17___intermediate_dense_bias]
2025-03-21T20:23:47.0168426Z     %p_getattr_l__self___encoder_layer___17___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___17___output_dense_weight]
2025-03-21T20:23:47.0168944Z     %p_getattr_l__self___encoder_layer___17___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___17___output_dense_bias]
2025-03-21T20:23:47.0169586Z     %p_getattr_l__self___encoder_layer___17___output_bottleneck_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___17___output_bottleneck_dense_weight]
2025-03-21T20:23:47.0170189Z     %p_getattr_l__self___encoder_layer___17___output_bottleneck_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___17___output_bottleneck_dense_bias]
2025-03-21T20:23:47.0170820Z     %p_getattr_l__self___encoder_layer___18___bottleneck_input_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___18___bottleneck_input_dense_weight]
2025-03-21T20:23:47.0171414Z     %p_getattr_l__self___encoder_layer___18___bottleneck_input_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___18___bottleneck_input_dense_bias]
2025-03-21T20:23:47.0172076Z     %p_getattr_l__self___encoder_layer___18___bottleneck_attention_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___18___bottleneck_attention_dense_weight]
2025-03-21T20:23:47.0172714Z     %p_getattr_l__self___encoder_layer___18___bottleneck_attention_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___18___bottleneck_attention_dense_bias]
2025-03-21T20:23:47.0173323Z     %p_getattr_l__self___encoder_layer___18___attention_self_query_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___18___attention_self_query_weight]
2025-03-21T20:23:47.0173903Z     %p_getattr_l__self___encoder_layer___18___attention_self_query_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___18___attention_self_query_bias]
2025-03-21T20:23:47.0174498Z     %p_getattr_l__self___encoder_layer___18___attention_self_key_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___18___attention_self_key_weight]
2025-03-21T20:23:47.0175053Z     %p_getattr_l__self___encoder_layer___18___attention_self_key_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___18___attention_self_key_bias]
2025-03-21T20:23:47.0175710Z     %p_getattr_l__self___encoder_layer___18___attention_self_value_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___18___attention_self_value_weight]
2025-03-21T20:23:47.0176286Z     %p_getattr_l__self___encoder_layer___18___attention_self_value_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___18___attention_self_value_bias]
2025-03-21T20:23:47.0176954Z     %p_getattr_l__self___encoder_layer___18___attention_output_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___18___attention_output_dense_weight]
2025-03-21T20:23:47.0177548Z     %p_getattr_l__self___encoder_layer___18___attention_output_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___18___attention_output_dense_bias]
2025-03-21T20:23:47.0178270Z     %p_getattr_getattr_l__self___encoder_layer___18___ffn___0___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___18___ffn___0___intermediate_dense_weight]
2025-03-21T20:23:47.0178964Z     %p_getattr_getattr_l__self___encoder_layer___18___ffn___0___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___18___ffn___0___intermediate_dense_bias]
2025-03-21T20:23:47.0179613Z     %p_getattr_getattr_l__self___encoder_layer___18___ffn___0___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___18___ffn___0___output_dense_weight]
2025-03-21T20:23:47.0180265Z     %p_getattr_getattr_l__self___encoder_layer___18___ffn___0___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___18___ffn___0___output_dense_bias]
2025-03-21T20:23:47.0180975Z     %p_getattr_getattr_l__self___encoder_layer___18___ffn___1___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___18___ffn___1___intermediate_dense_weight]
2025-03-21T20:23:47.0181687Z     %p_getattr_getattr_l__self___encoder_layer___18___ffn___1___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___18___ffn___1___intermediate_dense_bias]
2025-03-21T20:23:47.0182338Z     %p_getattr_getattr_l__self___encoder_layer___18___ffn___1___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___18___ffn___1___output_dense_weight]
2025-03-21T20:23:47.0182995Z     %p_getattr_getattr_l__self___encoder_layer___18___ffn___1___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___18___ffn___1___output_dense_bias]
2025-03-21T20:23:47.0183707Z     %p_getattr_getattr_l__self___encoder_layer___18___ffn___2___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___18___ffn___2___intermediate_dense_weight]
2025-03-21T20:23:47.0184407Z     %p_getattr_getattr_l__self___encoder_layer___18___ffn___2___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___18___ffn___2___intermediate_dense_bias]
2025-03-21T20:23:47.0185056Z     %p_getattr_getattr_l__self___encoder_layer___18___ffn___2___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___18___ffn___2___output_dense_weight]
2025-03-21T20:23:47.0185706Z     %p_getattr_getattr_l__self___encoder_layer___18___ffn___2___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___18___ffn___2___output_dense_bias]
2025-03-21T20:23:47.0186290Z     %p_getattr_l__self___encoder_layer___18___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___18___intermediate_dense_weight]
2025-03-21T20:23:47.0186867Z     %p_getattr_l__self___encoder_layer___18___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___18___intermediate_dense_bias]
2025-03-21T20:23:47.0187454Z     %p_getattr_l__self___encoder_layer___18___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___18___output_dense_weight]
2025-03-21T20:23:47.0187979Z     %p_getattr_l__self___encoder_layer___18___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___18___output_dense_bias]
2025-03-21T20:23:47.0188642Z     %p_getattr_l__self___encoder_layer___18___output_bottleneck_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___18___output_bottleneck_dense_weight]
2025-03-21T20:23:47.0189255Z     %p_getattr_l__self___encoder_layer___18___output_bottleneck_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___18___output_bottleneck_dense_bias]
2025-03-21T20:23:47.0189865Z     %p_getattr_l__self___encoder_layer___19___bottleneck_input_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___19___bottleneck_input_dense_weight]
2025-03-21T20:23:47.0190476Z     %p_getattr_l__self___encoder_layer___19___bottleneck_input_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___19___bottleneck_input_dense_bias]
2025-03-21T20:23:47.0191125Z     %p_getattr_l__self___encoder_layer___19___bottleneck_attention_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___19___bottleneck_attention_dense_weight]
2025-03-21T20:23:47.0191765Z     %p_getattr_l__self___encoder_layer___19___bottleneck_attention_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___19___bottleneck_attention_dense_bias]
2025-03-21T20:23:47.0192357Z     %p_getattr_l__self___encoder_layer___19___attention_self_query_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___19___attention_self_query_weight]
2025-03-21T20:23:47.0193033Z     %p_getattr_l__self___encoder_layer___19___attention_self_query_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___19___attention_self_query_bias]
2025-03-21T20:23:47.0193611Z     %p_getattr_l__self___encoder_layer___19___attention_self_key_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___19___attention_self_key_weight]
2025-03-21T20:23:47.0194179Z     %p_getattr_l__self___encoder_layer___19___attention_self_key_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___19___attention_self_key_bias]
2025-03-21T20:23:47.0194774Z     %p_getattr_l__self___encoder_layer___19___attention_self_value_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___19___attention_self_value_weight]
2025-03-21T20:23:47.0195363Z     %p_getattr_l__self___encoder_layer___19___attention_self_value_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___19___attention_self_value_bias]
2025-03-21T20:23:47.0195971Z     %p_getattr_l__self___encoder_layer___19___attention_output_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___19___attention_output_dense_weight]
2025-03-21T20:23:47.0196584Z     %p_getattr_l__self___encoder_layer___19___attention_output_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___19___attention_output_dense_bias]
2025-03-21T20:23:47.0197296Z     %p_getattr_getattr_l__self___encoder_layer___19___ffn___0___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___19___ffn___0___intermediate_dense_weight]
2025-03-21T20:23:47.0198006Z     %p_getattr_getattr_l__self___encoder_layer___19___ffn___0___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___19___ffn___0___intermediate_dense_bias]
2025-03-21T20:23:47.0198661Z     %p_getattr_getattr_l__self___encoder_layer___19___ffn___0___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___19___ffn___0___output_dense_weight]
2025-03-21T20:23:47.0199366Z     %p_getattr_getattr_l__self___encoder_layer___19___ffn___0___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___19___ffn___0___output_dense_bias]
2025-03-21T20:23:47.0200070Z     %p_getattr_getattr_l__self___encoder_layer___19___ffn___1___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___19___ffn___1___intermediate_dense_weight]
2025-03-21T20:23:47.0200817Z     %p_getattr_getattr_l__self___encoder_layer___19___ffn___1___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___19___ffn___1___intermediate_dense_bias]
2025-03-21T20:23:47.0201472Z     %p_getattr_getattr_l__self___encoder_layer___19___ffn___1___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___19___ffn___1___output_dense_weight]
2025-03-21T20:23:47.0202357Z     %p_getattr_getattr_l__self___encoder_layer___19___ffn___1___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___19___ffn___1___output_dense_bias]
2025-03-21T20:23:47.0203127Z     %p_getattr_getattr_l__self___encoder_layer___19___ffn___2___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___19___ffn___2___intermediate_dense_weight]
2025-03-21T20:23:47.0203833Z     %p_getattr_getattr_l__self___encoder_layer___19___ffn___2___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___19___ffn___2___intermediate_dense_bias]
2025-03-21T20:23:47.0204490Z     %p_getattr_getattr_l__self___encoder_layer___19___ffn___2___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___19___ffn___2___output_dense_weight]
2025-03-21T20:23:47.0205135Z     %p_getattr_getattr_l__self___encoder_layer___19___ffn___2___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___19___ffn___2___output_dense_bias]
2025-03-21T20:23:47.0205728Z     %p_getattr_l__self___encoder_layer___19___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___19___intermediate_dense_weight]
2025-03-21T20:23:47.0206307Z     %p_getattr_l__self___encoder_layer___19___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___19___intermediate_dense_bias]
2025-03-21T20:23:47.0206845Z     %p_getattr_l__self___encoder_layer___19___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___19___output_dense_weight]
2025-03-21T20:23:47.0207372Z     %p_getattr_l__self___encoder_layer___19___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___19___output_dense_bias]
2025-03-21T20:23:47.0207995Z     %p_getattr_l__self___encoder_layer___19___output_bottleneck_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___19___output_bottleneck_dense_weight]
2025-03-21T20:23:47.0208606Z     %p_getattr_l__self___encoder_layer___19___output_bottleneck_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___19___output_bottleneck_dense_bias]
2025-03-21T20:23:47.0209225Z     %p_getattr_l__self___encoder_layer___20___bottleneck_input_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___20___bottleneck_input_dense_weight]
2025-03-21T20:23:47.0209826Z     %p_getattr_l__self___encoder_layer___20___bottleneck_input_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___20___bottleneck_input_dense_bias]
2025-03-21T20:23:47.0210486Z     %p_getattr_l__self___encoder_layer___20___bottleneck_attention_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___20___bottleneck_attention_dense_weight]
2025-03-21T20:23:47.0211118Z     %p_getattr_l__self___encoder_layer___20___bottleneck_attention_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___20___bottleneck_attention_dense_bias]
2025-03-21T20:23:47.0211842Z     %p_getattr_l__self___encoder_layer___20___attention_self_query_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___20___attention_self_query_weight]
2025-03-21T20:23:47.0212424Z     %p_getattr_l__self___encoder_layer___20___attention_self_query_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___20___attention_self_query_bias]
2025-03-21T20:23:47.0213082Z     %p_getattr_l__self___encoder_layer___20___attention_self_key_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___20___attention_self_key_weight]
2025-03-21T20:23:47.0213643Z     %p_getattr_l__self___encoder_layer___20___attention_self_key_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___20___attention_self_key_bias]
2025-03-21T20:23:47.0214250Z     %p_getattr_l__self___encoder_layer___20___attention_self_value_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___20___attention_self_value_weight]
2025-03-21T20:23:47.0214829Z     %p_getattr_l__self___encoder_layer___20___attention_self_value_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___20___attention_self_value_bias]
2025-03-21T20:23:47.0215448Z     %p_getattr_l__self___encoder_layer___20___attention_output_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___20___attention_output_dense_weight]
2025-03-21T20:23:47.0216044Z     %p_getattr_l__self___encoder_layer___20___attention_output_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___20___attention_output_dense_bias]
2025-03-21T20:23:47.0216769Z     %p_getattr_getattr_l__self___encoder_layer___20___ffn___0___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___20___ffn___0___intermediate_dense_weight]
2025-03-21T20:23:47.0217468Z     %p_getattr_getattr_l__self___encoder_layer___20___ffn___0___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___20___ffn___0___intermediate_dense_bias]
2025-03-21T20:23:47.0218133Z     %p_getattr_getattr_l__self___encoder_layer___20___ffn___0___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___20___ffn___0___output_dense_weight]
2025-03-21T20:23:47.0218777Z     %p_getattr_getattr_l__self___encoder_layer___20___ffn___0___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___20___ffn___0___output_dense_bias]
2025-03-21T20:23:47.0219503Z     %p_getattr_getattr_l__self___encoder_layer___20___ffn___1___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___20___ffn___1___intermediate_dense_weight]
2025-03-21T20:23:47.0220193Z     %p_getattr_getattr_l__self___encoder_layer___20___ffn___1___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___20___ffn___1___intermediate_dense_bias]
2025-03-21T20:23:47.0220862Z     %p_getattr_getattr_l__self___encoder_layer___20___ffn___1___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___20___ffn___1___output_dense_weight]
2025-03-21T20:23:47.0221500Z     %p_getattr_getattr_l__self___encoder_layer___20___ffn___1___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___20___ffn___1___output_dense_bias]
2025-03-21T20:23:47.0222226Z     %p_getattr_getattr_l__self___encoder_layer___20___ffn___2___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___20___ffn___2___intermediate_dense_weight]
2025-03-21T20:23:47.0222917Z     %p_getattr_getattr_l__self___encoder_layer___20___ffn___2___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___20___ffn___2___intermediate_dense_bias]
2025-03-21T20:23:47.0223624Z     %p_getattr_getattr_l__self___encoder_layer___20___ffn___2___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___20___ffn___2___output_dense_weight]
2025-03-21T20:23:47.0224254Z     %p_getattr_getattr_l__self___encoder_layer___20___ffn___2___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___20___ffn___2___output_dense_bias]
2025-03-21T20:23:47.0224897Z     %p_getattr_l__self___encoder_layer___20___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___20___intermediate_dense_weight]
2025-03-21T20:23:47.0225464Z     %p_getattr_l__self___encoder_layer___20___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___20___intermediate_dense_bias]
2025-03-21T20:23:47.0226009Z     %p_getattr_l__self___encoder_layer___20___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___20___output_dense_weight]
2025-03-21T20:23:47.0226529Z     %p_getattr_l__self___encoder_layer___20___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___20___output_dense_bias]
2025-03-21T20:23:47.0227167Z     %p_getattr_l__self___encoder_layer___20___output_bottleneck_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___20___output_bottleneck_dense_weight]
2025-03-21T20:23:47.0227772Z     %p_getattr_l__self___encoder_layer___20___output_bottleneck_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___20___output_bottleneck_dense_bias]
2025-03-21T20:23:47.0228394Z     %p_getattr_l__self___encoder_layer___21___bottleneck_input_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___21___bottleneck_input_dense_weight]
2025-03-21T20:23:47.0228989Z     %p_getattr_l__self___encoder_layer___21___bottleneck_input_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___21___bottleneck_input_dense_bias]
2025-03-21T20:23:47.0229652Z     %p_getattr_l__self___encoder_layer___21___bottleneck_attention_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___21___bottleneck_attention_dense_weight]
2025-03-21T20:23:47.0230278Z     %p_getattr_l__self___encoder_layer___21___bottleneck_attention_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___21___bottleneck_attention_dense_bias]
2025-03-21T20:23:47.0230886Z     %p_getattr_l__self___encoder_layer___21___attention_self_query_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___21___attention_self_query_weight]
2025-03-21T20:23:47.0231459Z     %p_getattr_l__self___encoder_layer___21___attention_self_query_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___21___attention_self_query_bias]
2025-03-21T20:23:47.0232046Z     %p_getattr_l__self___encoder_layer___21___attention_self_key_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___21___attention_self_key_weight]
2025-03-21T20:23:47.0232605Z     %p_getattr_l__self___encoder_layer___21___attention_self_key_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___21___attention_self_key_bias]
2025-03-21T20:23:47.0233286Z     %p_getattr_l__self___encoder_layer___21___attention_self_value_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___21___attention_self_value_weight]
2025-03-21T20:23:47.0233879Z     %p_getattr_l__self___encoder_layer___21___attention_self_value_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___21___attention_self_value_bias]
2025-03-21T20:23:47.0234485Z     %p_getattr_l__self___encoder_layer___21___attention_output_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___21___attention_output_dense_weight]
2025-03-21T20:23:47.0235096Z     %p_getattr_l__self___encoder_layer___21___attention_output_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___21___attention_output_dense_bias]
2025-03-21T20:23:47.0235867Z     %p_getattr_getattr_l__self___encoder_layer___21___ffn___0___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___21___ffn___0___intermediate_dense_weight]
2025-03-21T20:23:47.0236573Z     %p_getattr_getattr_l__self___encoder_layer___21___ffn___0___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___21___ffn___0___intermediate_dense_bias]
2025-03-21T20:23:47.0237300Z     %p_getattr_getattr_l__self___encoder_layer___21___ffn___0___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___21___ffn___0___output_dense_weight]
2025-03-21T20:23:47.0237955Z     %p_getattr_getattr_l__self___encoder_layer___21___ffn___0___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___21___ffn___0___output_dense_bias]
2025-03-21T20:23:47.0238670Z     %p_getattr_getattr_l__self___encoder_layer___21___ffn___1___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___21___ffn___1___intermediate_dense_weight]
2025-03-21T20:23:47.0239369Z     %p_getattr_getattr_l__self___encoder_layer___21___ffn___1___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___21___ffn___1___intermediate_dense_bias]
2025-03-21T20:23:47.0240019Z     %p_getattr_getattr_l__self___encoder_layer___21___ffn___1___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___21___ffn___1___output_dense_weight]
2025-03-21T20:23:47.0240664Z     %p_getattr_getattr_l__self___encoder_layer___21___ffn___1___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___21___ffn___1___output_dense_bias]
2025-03-21T20:23:47.0241377Z     %p_getattr_getattr_l__self___encoder_layer___21___ffn___2___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___21___ffn___2___intermediate_dense_weight]
2025-03-21T20:23:47.0242077Z     %p_getattr_getattr_l__self___encoder_layer___21___ffn___2___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___21___ffn___2___intermediate_dense_bias]
2025-03-21T20:23:47.0242731Z     %p_getattr_getattr_l__self___encoder_layer___21___ffn___2___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___21___ffn___2___output_dense_weight]
2025-03-21T20:23:47.0243380Z     %p_getattr_getattr_l__self___encoder_layer___21___ffn___2___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___21___ffn___2___output_dense_bias]
2025-03-21T20:23:47.0243963Z     %p_getattr_l__self___encoder_layer___21___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___21___intermediate_dense_weight]
2025-03-21T20:23:47.0244545Z     %p_getattr_l__self___encoder_layer___21___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___21___intermediate_dense_bias]
2025-03-21T20:23:47.0245079Z     %p_getattr_l__self___encoder_layer___21___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___21___output_dense_weight]
2025-03-21T20:23:47.0245610Z     %p_getattr_l__self___encoder_layer___21___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___21___output_dense_bias]
2025-03-21T20:23:47.0246235Z     %p_getattr_l__self___encoder_layer___21___output_bottleneck_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___21___output_bottleneck_dense_weight]
2025-03-21T20:23:47.0246846Z     %p_getattr_l__self___encoder_layer___21___output_bottleneck_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___21___output_bottleneck_dense_bias]
2025-03-21T20:23:47.0247503Z     %p_getattr_l__self___encoder_layer___22___bottleneck_input_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___22___bottleneck_input_dense_weight]
2025-03-21T20:23:47.0248113Z     %p_getattr_l__self___encoder_layer___22___bottleneck_input_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___22___bottleneck_input_dense_bias]
2025-03-21T20:23:47.0248817Z     %p_getattr_l__self___encoder_layer___22___bottleneck_attention_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___22___bottleneck_attention_dense_weight]
2025-03-21T20:23:47.0249463Z     %p_getattr_l__self___encoder_layer___22___bottleneck_attention_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___22___bottleneck_attention_dense_bias]
2025-03-21T20:23:47.0250058Z     %p_getattr_l__self___encoder_layer___22___attention_self_query_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___22___attention_self_query_weight]
2025-03-21T20:23:47.0250654Z     %p_getattr_l__self___encoder_layer___22___attention_self_query_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___22___attention_self_query_bias]
2025-03-21T20:23:47.0251231Z     %p_getattr_l__self___encoder_layer___22___attention_self_key_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___22___attention_self_key_weight]
2025-03-21T20:23:47.0251809Z     %p_getattr_l__self___encoder_layer___22___attention_self_key_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___22___attention_self_key_bias]
2025-03-21T20:23:47.0252405Z     %p_getattr_l__self___encoder_layer___22___attention_self_value_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___22___attention_self_value_weight]
2025-03-21T20:23:47.0252995Z     %p_getattr_l__self___encoder_layer___22___attention_self_value_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___22___attention_self_value_bias]
2025-03-21T20:23:47.0253616Z     %p_getattr_l__self___encoder_layer___22___attention_output_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___22___attention_output_dense_weight]
2025-03-21T20:23:47.0254226Z     %p_getattr_l__self___encoder_layer___22___attention_output_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___22___attention_output_dense_bias]
2025-03-21T20:23:47.0254941Z     %p_getattr_getattr_l__self___encoder_layer___22___ffn___0___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___22___ffn___0___intermediate_dense_weight]
2025-03-21T20:23:47.0255644Z     %p_getattr_getattr_l__self___encoder_layer___22___ffn___0___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___22___ffn___0___intermediate_dense_bias]
2025-03-21T20:23:47.0256302Z     %p_getattr_getattr_l__self___encoder_layer___22___ffn___0___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___22___ffn___0___output_dense_weight]
2025-03-21T20:23:47.0256949Z     %p_getattr_getattr_l__self___encoder_layer___22___ffn___0___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___22___ffn___0___output_dense_bias]
2025-03-21T20:23:47.0257661Z     %p_getattr_getattr_l__self___encoder_layer___22___ffn___1___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___22___ffn___1___intermediate_dense_weight]
2025-03-21T20:23:47.0258364Z     %p_getattr_getattr_l__self___encoder_layer___22___ffn___1___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___22___ffn___1___intermediate_dense_bias]
2025-03-21T20:23:47.0259012Z     %p_getattr_getattr_l__self___encoder_layer___22___ffn___1___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___22___ffn___1___output_dense_weight]
2025-03-21T20:23:47.0259723Z     %p_getattr_getattr_l__self___encoder_layer___22___ffn___1___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___22___ffn___1___output_dense_bias]
2025-03-21T20:23:47.0260431Z     %p_getattr_getattr_l__self___encoder_layer___22___ffn___2___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___22___ffn___2___intermediate_dense_weight]
2025-03-21T20:23:47.0261188Z     %p_getattr_getattr_l__self___encoder_layer___22___ffn___2___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___22___ffn___2___intermediate_dense_bias]
2025-03-21T20:23:47.0261840Z     %p_getattr_getattr_l__self___encoder_layer___22___ffn___2___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___22___ffn___2___output_dense_weight]
2025-03-21T20:23:47.0262488Z     %p_getattr_getattr_l__self___encoder_layer___22___ffn___2___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___22___ffn___2___output_dense_bias]
2025-03-21T20:23:47.0263074Z     %p_getattr_l__self___encoder_layer___22___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___22___intermediate_dense_weight]
2025-03-21T20:23:47.0263655Z     %p_getattr_l__self___encoder_layer___22___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___22___intermediate_dense_bias]
2025-03-21T20:23:47.0264187Z     %p_getattr_l__self___encoder_layer___22___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___22___output_dense_weight]
2025-03-21T20:23:47.0264701Z     %p_getattr_l__self___encoder_layer___22___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___22___output_dense_bias]
2025-03-21T20:23:47.0265342Z     %p_getattr_l__self___encoder_layer___22___output_bottleneck_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___22___output_bottleneck_dense_weight]
2025-03-21T20:23:47.0265946Z     %p_getattr_l__self___encoder_layer___22___output_bottleneck_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___22___output_bottleneck_dense_bias]
2025-03-21T20:23:47.0266570Z     %p_getattr_l__self___encoder_layer___23___bottleneck_input_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___23___bottleneck_input_dense_weight]
2025-03-21T20:23:47.0267163Z     %p_getattr_l__self___encoder_layer___23___bottleneck_input_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___23___bottleneck_input_dense_bias]
2025-03-21T20:23:47.0267825Z     %p_getattr_l__self___encoder_layer___23___bottleneck_attention_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___23___bottleneck_attention_dense_weight]
2025-03-21T20:23:47.0268459Z     %p_getattr_l__self___encoder_layer___23___bottleneck_attention_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___23___bottleneck_attention_dense_bias]
2025-03-21T20:23:47.0269059Z     %p_getattr_l__self___encoder_layer___23___attention_self_query_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___23___attention_self_query_weight]
2025-03-21T20:23:47.0269639Z     %p_getattr_l__self___encoder_layer___23___attention_self_query_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___23___attention_self_query_bias]
2025-03-21T20:23:47.0270228Z     %p_getattr_l__self___encoder_layer___23___attention_self_key_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___23___attention_self_key_weight]
2025-03-21T20:23:47.0270784Z     %p_getattr_l__self___encoder_layer___23___attention_self_key_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___23___attention_self_key_bias]
2025-03-21T20:23:47.0271439Z     %p_getattr_l__self___encoder_layer___23___attention_self_value_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___23___attention_self_value_weight]
2025-03-21T20:23:47.0272014Z     %p_getattr_l__self___encoder_layer___23___attention_self_value_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___23___attention_self_value_bias]
2025-03-21T20:23:47.0272685Z     %p_getattr_l__self___encoder_layer___23___attention_output_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___23___attention_output_dense_weight]
2025-03-21T20:23:47.0273369Z     %p_getattr_l__self___encoder_layer___23___attention_output_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___23___attention_output_dense_bias]
2025-03-21T20:23:47.0274101Z     %p_getattr_getattr_l__self___encoder_layer___23___ffn___0___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___23___ffn___0___intermediate_dense_weight]
2025-03-21T20:23:47.0274797Z     %p_getattr_getattr_l__self___encoder_layer___23___ffn___0___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___23___ffn___0___intermediate_dense_bias]
2025-03-21T20:23:47.0275461Z     %p_getattr_getattr_l__self___encoder_layer___23___ffn___0___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___23___ffn___0___output_dense_weight]
2025-03-21T20:23:47.0276104Z     %p_getattr_getattr_l__self___encoder_layer___23___ffn___0___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___23___ffn___0___output_dense_bias]
2025-03-21T20:23:47.0276835Z     %p_getattr_getattr_l__self___encoder_layer___23___ffn___1___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___23___ffn___1___intermediate_dense_weight]
2025-03-21T20:23:47.0277533Z     %p_getattr_getattr_l__self___encoder_layer___23___ffn___1___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___23___ffn___1___intermediate_dense_bias]
2025-03-21T20:23:47.0278207Z     %p_getattr_getattr_l__self___encoder_layer___23___ffn___1___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___23___ffn___1___output_dense_weight]
2025-03-21T20:23:47.0278846Z     %p_getattr_getattr_l__self___encoder_layer___23___ffn___1___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___23___ffn___1___output_dense_bias]
2025-03-21T20:23:47.0279568Z     %p_getattr_getattr_l__self___encoder_layer___23___ffn___2___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___23___ffn___2___intermediate_dense_weight]
2025-03-21T20:23:47.0280263Z     %p_getattr_getattr_l__self___encoder_layer___23___ffn___2___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___23___ffn___2___intermediate_dense_bias]
2025-03-21T20:23:47.0280930Z     %p_getattr_getattr_l__self___encoder_layer___23___ffn___2___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___23___ffn___2___output_dense_weight]
2025-03-21T20:23:47.0281569Z     %p_getattr_getattr_l__self___encoder_layer___23___ffn___2___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_getattr_l__self___encoder_layer___23___ffn___2___output_dense_bias]
2025-03-21T20:23:47.0282181Z     %p_getattr_l__self___encoder_layer___23___intermediate_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___23___intermediate_dense_weight]
2025-03-21T20:23:47.0282748Z     %p_getattr_l__self___encoder_layer___23___intermediate_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___23___intermediate_dense_bias]
2025-03-21T20:23:47.0283354Z     %p_getattr_l__self___encoder_layer___23___output_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___23___output_dense_weight]
2025-03-21T20:23:47.0283870Z     %p_getattr_l__self___encoder_layer___23___output_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___23___output_dense_bias]
2025-03-21T20:23:47.0284559Z     %p_getattr_l__self___encoder_layer___23___output_bottleneck_dense_weight : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___23___output_bottleneck_dense_weight]
2025-03-21T20:23:47.0285164Z     %p_getattr_l__self___encoder_layer___23___output_bottleneck_dense_bias : [num_users=1] = placeholder[target=p_getattr_l__self___encoder_layer___23___output_bottleneck_dense_bias]
2025-03-21T20:23:47.0285474Z     %b_embeddings_position_ids : [num_users=1] = placeholder[target=b_embeddings_position_ids]
2025-03-21T20:23:47.0285971Z     %c_getattr_l__self___encoder_layer___0___lifted_tensor_0 : [num_users=1] = placeholder[target=c_getattr_l__self___encoder_layer___0___lifted_tensor_0]
2025-03-21T20:23:47.0286461Z     %c_getattr_l__self___encoder_layer___1___lifted_tensor_1 : [num_users=1] = placeholder[target=c_getattr_l__self___encoder_layer___1___lifted_tensor_1]
2025-03-21T20:23:47.0286961Z     %c_getattr_l__self___encoder_layer___2___lifted_tensor_2 : [num_users=1] = placeholder[target=c_getattr_l__self___encoder_layer___2___lifted_tensor_2]
2025-03-21T20:23:47.0287448Z     %c_getattr_l__self___encoder_layer___3___lifted_tensor_3 : [num_users=1] = placeholder[target=c_getattr_l__self___encoder_layer___3___lifted_tensor_3]
2025-03-21T20:23:47.0287945Z     %c_getattr_l__self___encoder_layer___4___lifted_tensor_4 : [num_users=1] = placeholder[target=c_getattr_l__self___encoder_layer___4___lifted_tensor_4]
2025-03-21T20:23:47.0288432Z     %c_getattr_l__self___encoder_layer___5___lifted_tensor_5 : [num_users=1] = placeholder[target=c_getattr_l__self___encoder_layer___5___lifted_tensor_5]
2025-03-21T20:23:47.0288936Z     %c_getattr_l__self___encoder_layer___6___lifted_tensor_6 : [num_users=1] = placeholder[target=c_getattr_l__self___encoder_layer___6___lifted_tensor_6]
2025-03-21T20:23:47.0289421Z     %c_getattr_l__self___encoder_layer___7___lifted_tensor_7 : [num_users=1] = placeholder[target=c_getattr_l__self___encoder_layer___7___lifted_tensor_7]
2025-03-21T20:23:47.0289923Z     %c_getattr_l__self___encoder_layer___8___lifted_tensor_8 : [num_users=1] = placeholder[target=c_getattr_l__self___encoder_layer___8___lifted_tensor_8]
2025-03-21T20:23:47.0290414Z     %c_getattr_l__self___encoder_layer___9___lifted_tensor_9 : [num_users=1] = placeholder[target=c_getattr_l__self___encoder_layer___9___lifted_tensor_9]
2025-03-21T20:23:47.0290931Z     %c_getattr_l__self___encoder_layer___10___lifted_tensor_10 : [num_users=1] = placeholder[target=c_getattr_l__self___encoder_layer___10___lifted_tensor_10]
2025-03-21T20:23:47.0291436Z     %c_getattr_l__self___encoder_layer___11___lifted_tensor_11 : [num_users=1] = placeholder[target=c_getattr_l__self___encoder_layer___11___lifted_tensor_11]
2025-03-21T20:23:47.0291950Z     %c_getattr_l__self___encoder_layer___12___lifted_tensor_12 : [num_users=1] = placeholder[target=c_getattr_l__self___encoder_layer___12___lifted_tensor_12]
2025-03-21T20:23:47.0292450Z     %c_getattr_l__self___encoder_layer___13___lifted_tensor_13 : [num_users=1] = placeholder[target=c_getattr_l__self___encoder_layer___13___lifted_tensor_13]
2025-03-21T20:23:47.0292965Z     %c_getattr_l__self___encoder_layer___14___lifted_tensor_14 : [num_users=1] = placeholder[target=c_getattr_l__self___encoder_layer___14___lifted_tensor_14]
2025-03-21T20:23:47.0293461Z     %c_getattr_l__self___encoder_layer___15___lifted_tensor_15 : [num_users=1] = placeholder[target=c_getattr_l__self___encoder_layer___15___lifted_tensor_15]
2025-03-21T20:23:47.0293968Z     %c_getattr_l__self___encoder_layer___16___lifted_tensor_16 : [num_users=1] = placeholder[target=c_getattr_l__self___encoder_layer___16___lifted_tensor_16]
2025-03-21T20:23:47.0294515Z     %c_getattr_l__self___encoder_layer___17___lifted_tensor_17 : [num_users=1] = placeholder[target=c_getattr_l__self___encoder_layer___17___lifted_tensor_17]
2025-03-21T20:23:47.0295023Z     %c_getattr_l__self___encoder_layer___18___lifted_tensor_18 : [num_users=1] = placeholder[target=c_getattr_l__self___encoder_layer___18___lifted_tensor_18]
2025-03-21T20:23:47.0295520Z     %c_getattr_l__self___encoder_layer___19___lifted_tensor_19 : [num_users=1] = placeholder[target=c_getattr_l__self___encoder_layer___19___lifted_tensor_19]
2025-03-21T20:23:47.0296077Z     %c_getattr_l__self___encoder_layer___20___lifted_tensor_20 : [num_users=1] = placeholder[target=c_getattr_l__self___encoder_layer___20___lifted_tensor_20]
2025-03-21T20:23:47.0296591Z     %c_getattr_l__self___encoder_layer___21___lifted_tensor_21 : [num_users=1] = placeholder[target=c_getattr_l__self___encoder_layer___21___lifted_tensor_21]
2025-03-21T20:23:47.0297098Z     %c_getattr_l__self___encoder_layer___22___lifted_tensor_22 : [num_users=1] = placeholder[target=c_getattr_l__self___encoder_layer___22___lifted_tensor_22]
2025-03-21T20:23:47.0297605Z     %c_getattr_l__self___encoder_layer___23___lifted_tensor_23 : [num_users=1] = placeholder[target=c_getattr_l__self___encoder_layer___23___lifted_tensor_23]
2025-03-21T20:23:47.0297788Z     %input_ids : [num_users=1] = placeholder[target=input_ids]
2025-03-21T20:23:47.0298243Z     %ones : [num_users=1] = call_function[target=torch.ops.aten.ones.default](args = ([1, 8],), kwargs = {device: cpu, pin_memory: False})
2025-03-21T20:23:47.0298759Z     %zeros : [num_users=1] = call_function[target=torch.ops.aten.zeros.default](args = ([1, 8],), kwargs = {dtype: torch.int64, device: cpu, pin_memory: False})
2025-03-21T20:23:47.0299192Z     %slice_1 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%ones, 0, 0, 9223372036854775807), kwargs = {})
2025-03-21T20:23:47.0299610Z     %unsqueeze : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%slice_1, 1), kwargs = {})
2025-03-21T20:23:47.0300048Z     %unsqueeze_1 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%unsqueeze, 2), kwargs = {})
2025-03-21T20:23:47.0300500Z     %slice_2 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%unsqueeze_1, 3, 0, 9223372036854775807), kwargs = {})
2025-03-21T20:23:47.0300881Z     %to : [num_users=1] = call_function[target=torch.ops.aten.to.dtype](args = (%slice_2, torch.float32), kwargs = {})
2025-03-21T20:23:47.0301225Z     %rsub : [num_users=1] = call_function[target=torch.ops.aten.rsub.Scalar](args = (%to, 1.0), kwargs = {})
2025-03-21T20:23:47.0304104Z     %mul : [num_users=24] = call_function[target=torch.ops.aten.mul.Tensor](args = (%rsub, -3.4028234663852886e+38), kwargs = {})
2025-03-21T20:23:47.0304637Z     %slice_3 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%b_embeddings_position_ids, 0, 0, 9223372036854775807), kwargs = {})
2025-03-21T20:23:47.0305031Z     %slice_4 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%slice_3, 1, 0, 8), kwargs = {})
2025-03-21T20:23:47.0305613Z     %embedding : [num_users=3] = call_function[target=torch.ops.aten.embedding.default](args = (%p_embeddings_word_embeddings_weight, %input_ids, 0), kwargs = {})
2025-03-21T20:23:47.0306057Z     %slice_5 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%embedding, 0, 0, 9223372036854775807), kwargs = {})
2025-03-21T20:23:47.0306503Z     %slice_6 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%slice_5, 1, 1, 9223372036854775807), kwargs = {})
2025-03-21T20:23:47.0306942Z     %pad : [num_users=1] = call_function[target=torch.ops.aten.pad.default](args = (%slice_6, [0, 0, 0, 1, 0, 0], constant, 0.0), kwargs = {})
2025-03-21T20:23:47.0307392Z     %slice_7 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%embedding, 0, 0, 9223372036854775807), kwargs = {})
2025-03-21T20:23:47.0307919Z     %slice_8 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%slice_7, 1, 0, -1), kwargs = {})
2025-03-21T20:23:47.0308372Z     %pad_1 : [num_users=1] = call_function[target=torch.ops.aten.pad.default](args = (%slice_8, [0, 0, 1, 0, 0, 0], constant, 0.0), kwargs = {})
2025-03-21T20:23:47.0308772Z     %cat : [num_users=1] = call_function[target=torch.ops.aten.cat.default](args = ([%pad, %embedding, %pad_1], 2), kwargs = {})
2025-03-21T20:23:47.0309579Z     %linear : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%cat, %p_embeddings_embedding_transformation_weight, %p_embeddings_embedding_transformation_bias), kwargs = {})
2025-03-21T20:23:47.0310146Z     %embedding_1 : [num_users=1] = call_function[target=torch.ops.aten.embedding.default](args = (%p_embeddings_position_embeddings_weight, %slice_4), kwargs = {})
2025-03-21T20:23:47.0310719Z     %embedding_2 : [num_users=1] = call_function[target=torch.ops.aten.embedding.default](args = (%p_embeddings_token_type_embeddings_weight, %zeros), kwargs = {})
2025-03-21T20:23:47.0311097Z     %add : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear, %embedding_1), kwargs = {})
2025-03-21T20:23:47.0311463Z     %add_1 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%add, %embedding_2), kwargs = {})
2025-03-21T20:23:47.0311911Z     %mul_1 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_1, %p_embeddings_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0312340Z     %add_2 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_1, %p_embeddings_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0312768Z     %dropout : [num_users=4] = call_function[target=torch.ops.aten.dropout.default](args = (%add_2, 0.0, False), kwargs = {})
2025-03-21T20:23:47.0313778Z     %linear_1 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%dropout, %p_getattr_l__self___encoder_layer___0___bottleneck_input_dense_weight, %p_getattr_l__self___encoder_layer___0___bottleneck_input_dense_bias), kwargs = {})
2025-03-21T20:23:47.0314397Z     %mul_2 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%linear_1, %p_getattr_l__self___encoder_layer___0___bottleneck_input_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0314972Z     %add_3 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_2, %p_getattr_l__self___encoder_layer___0___bottleneck_input_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0315913Z     %linear_2 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%dropout, %p_getattr_l__self___encoder_layer___0___bottleneck_attention_dense_weight, %p_getattr_l__self___encoder_layer___0___bottleneck_attention_dense_bias), kwargs = {})
2025-03-21T20:23:47.0316532Z     %mul_3 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%linear_2, %p_getattr_l__self___encoder_layer___0___bottleneck_attention_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0317141Z     %add_4 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_3, %p_getattr_l__self___encoder_layer___0___bottleneck_attention_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0317991Z     %linear_3 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_4, %p_getattr_l__self___encoder_layer___0___attention_self_query_weight, %p_getattr_l__self___encoder_layer___0___attention_self_query_bias), kwargs = {})
2025-03-21T20:23:47.0318835Z     %linear_4 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_4, %p_getattr_l__self___encoder_layer___0___attention_self_key_weight, %p_getattr_l__self___encoder_layer___0___attention_self_key_bias), kwargs = {})
2025-03-21T20:23:47.0319699Z     %linear_5 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%dropout, %p_getattr_l__self___encoder_layer___0___attention_self_value_weight, %p_getattr_l__self___encoder_layer___0___attention_self_value_bias), kwargs = {})
2025-03-21T20:23:47.0320168Z     %view : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_3, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0320578Z     %permute : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0320987Z     %view_1 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_4, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0321458Z     %permute_1 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_1, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0321874Z     %view_2 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_5, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0322302Z     %permute_2 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_2, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0322735Z     %transpose : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%permute_1, -1, -2), kwargs = {})
2025-03-21T20:23:47.0323146Z     %matmul : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%permute, %transpose), kwargs = {})
2025-03-21T20:23:47.0323539Z     %div : [num_users=1] = call_function[target=torch.ops.aten.div.Tensor](args = (%matmul, 5.656854249492381), kwargs = {})
2025-03-21T20:23:47.0323880Z     %add_5 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%div, %mul), kwargs = {})
2025-03-21T20:23:47.0324246Z     %softmax : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_5, -1), kwargs = {})
2025-03-21T20:23:47.0324682Z     %dropout_1 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%softmax, 0.1, False), kwargs = {})
2025-03-21T20:23:47.0325103Z     %matmul_1 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%dropout_1, %permute_2), kwargs = {})
2025-03-21T20:23:47.0325547Z     %permute_3 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%matmul_1, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0325967Z     %contiguous : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%permute_3,), kwargs = {})
2025-03-21T20:23:47.0326378Z     %view_3 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous, [1, 8, 128]), kwargs = {})
2025-03-21T20:23:47.0327260Z     %linear_6 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%view_3, %p_getattr_l__self___encoder_layer___0___attention_output_dense_weight, %p_getattr_l__self___encoder_layer___0___attention_output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0327636Z     %add_6 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_6, %add_3), kwargs = {})
2025-03-21T20:23:47.0328225Z     %mul_4 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_6, %p_getattr_l__self___encoder_layer___0___attention_output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0328809Z     %add_7 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_4, %p_getattr_l__self___encoder_layer___0___attention_output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0329776Z     %linear_7 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_7, %p_getattr_getattr_l__self___encoder_layer___0___ffn___0___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___0___ffn___0___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0330139Z     %relu : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_7,), kwargs = {})
2025-03-21T20:23:47.0331041Z     %linear_8 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu, %p_getattr_getattr_l__self___encoder_layer___0___ffn___0___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___0___ffn___0___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0331465Z     %add_8 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_8, %add_7), kwargs = {})
2025-03-21T20:23:47.0332075Z     %mul_5 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_8, %p_getattr_getattr_l__self___encoder_layer___0___ffn___0___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0332734Z     %add_9 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_5, %p_getattr_getattr_l__self___encoder_layer___0___ffn___0___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0333685Z     %linear_9 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_9, %p_getattr_getattr_l__self___encoder_layer___0___ffn___1___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___0___ffn___1___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0334057Z     %relu_1 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_9,), kwargs = {})
2025-03-21T20:23:47.0334967Z     %linear_10 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_1, %p_getattr_getattr_l__self___encoder_layer___0___ffn___1___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___0___ffn___1___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0335350Z     %add_10 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_10, %add_9), kwargs = {})
2025-03-21T20:23:47.0335962Z     %mul_6 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_10, %p_getattr_getattr_l__self___encoder_layer___0___ffn___1___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0336581Z     %add_11 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_6, %p_getattr_getattr_l__self___encoder_layer___0___ffn___1___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0337540Z     %linear_11 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_11, %p_getattr_getattr_l__self___encoder_layer___0___ffn___2___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___0___ffn___2___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0337911Z     %relu_2 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_11,), kwargs = {})
2025-03-21T20:23:47.0338819Z     %linear_12 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_2, %p_getattr_getattr_l__self___encoder_layer___0___ffn___2___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___0___ffn___2___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0339200Z     %add_12 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_12, %add_11), kwargs = {})
2025-03-21T20:23:47.0339807Z     %mul_7 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_12, %p_getattr_getattr_l__self___encoder_layer___0___ffn___2___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0340425Z     %add_13 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_7, %p_getattr_getattr_l__self___encoder_layer___0___ffn___2___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0341265Z     %linear_13 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_13, %p_getattr_l__self___encoder_layer___0___intermediate_dense_weight, %p_getattr_l__self___encoder_layer___0___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0341639Z     %relu_3 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_13,), kwargs = {})
2025-03-21T20:23:47.0342422Z     %linear_14 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_3, %p_getattr_l__self___encoder_layer___0___output_dense_weight, %p_getattr_l__self___encoder_layer___0___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0342863Z     %add_14 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_14, %add_13), kwargs = {})
2025-03-21T20:23:47.0343425Z     %mul_8 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_14, %p_getattr_l__self___encoder_layer___0___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0343968Z     %add_15 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_8, %p_getattr_l__self___encoder_layer___0___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0344906Z     %linear_15 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_15, %p_getattr_l__self___encoder_layer___0___output_bottleneck_dense_weight, %p_getattr_l__self___encoder_layer___0___output_bottleneck_dense_bias), kwargs = {})
2025-03-21T20:23:47.0345342Z     %dropout_2 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_15, 0.0, False), kwargs = {})
2025-03-21T20:23:47.0345732Z     %add_16 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_2, %dropout), kwargs = {})
2025-03-21T20:23:47.0346319Z     %mul_9 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_16, %p_getattr_l__self___encoder_layer___0___output_bottleneck_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0346910Z     %add_17 : [num_users=4] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_9, %p_getattr_l__self___encoder_layer___0___output_bottleneck_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0347508Z     %lift_fresh_copy : [num_users=1] = call_function[target=torch.ops.aten.lift_fresh_copy.default](args = (%c_getattr_l__self___encoder_layer___0___lifted_tensor_0,), kwargs = {})
2025-03-21T20:23:47.0347923Z     %detach_ : [num_users=0] = call_function[target=torch.ops.aten.detach_.default](args = (%lift_fresh_copy,), kwargs = {})
2025-03-21T20:23:47.0348793Z     %linear_16 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_17, %p_getattr_l__self___encoder_layer___1___bottleneck_input_dense_weight, %p_getattr_l__self___encoder_layer___1___bottleneck_input_dense_bias), kwargs = {})
2025-03-21T20:23:47.0349416Z     %mul_10 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%linear_16, %p_getattr_l__self___encoder_layer___1___bottleneck_input_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0349997Z     %add_18 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_10, %p_getattr_l__self___encoder_layer___1___bottleneck_input_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0350916Z     %linear_17 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_17, %p_getattr_l__self___encoder_layer___1___bottleneck_attention_dense_weight, %p_getattr_l__self___encoder_layer___1___bottleneck_attention_dense_bias), kwargs = {})
2025-03-21T20:23:47.0351534Z     %mul_11 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%linear_17, %p_getattr_l__self___encoder_layer___1___bottleneck_attention_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0352143Z     %add_19 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_11, %p_getattr_l__self___encoder_layer___1___bottleneck_attention_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0353082Z     %linear_18 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_19, %p_getattr_l__self___encoder_layer___1___attention_self_query_weight, %p_getattr_l__self___encoder_layer___1___attention_self_query_bias), kwargs = {})
2025-03-21T20:23:47.0353929Z     %linear_19 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_19, %p_getattr_l__self___encoder_layer___1___attention_self_key_weight, %p_getattr_l__self___encoder_layer___1___attention_self_key_bias), kwargs = {})
2025-03-21T20:23:47.0354778Z     %linear_20 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_17, %p_getattr_l__self___encoder_layer___1___attention_self_value_weight, %p_getattr_l__self___encoder_layer___1___attention_self_value_bias), kwargs = {})
2025-03-21T20:23:47.0355252Z     %view_4 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_18, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0355673Z     %permute_4 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_4, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0356085Z     %view_5 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_19, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0356554Z     %permute_5 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_5, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0356966Z     %view_6 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_20, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0357384Z     %permute_6 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_6, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0357822Z     %transpose_1 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%permute_5, -1, -2), kwargs = {})
2025-03-21T20:23:47.0358248Z     %matmul_2 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%permute_4, %transpose_1), kwargs = {})
2025-03-21T20:23:47.0358634Z     %div_1 : [num_users=1] = call_function[target=torch.ops.aten.div.Tensor](args = (%matmul_2, 5.656854249492381), kwargs = {})
2025-03-21T20:23:47.0358998Z     %add_20 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%div_1, %mul), kwargs = {})
2025-03-21T20:23:47.0359369Z     %softmax_1 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_20, -1), kwargs = {})
2025-03-21T20:23:47.0359809Z     %dropout_3 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%softmax_1, 0.1, False), kwargs = {})
2025-03-21T20:23:47.0360232Z     %matmul_3 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%dropout_3, %permute_6), kwargs = {})
2025-03-21T20:23:47.0360670Z     %permute_7 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%matmul_3, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0361092Z     %contiguous_1 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%permute_7,), kwargs = {})
2025-03-21T20:23:47.0361508Z     %view_7 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_1, [1, 8, 128]), kwargs = {})
2025-03-21T20:23:47.0362388Z     %linear_21 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%view_7, %p_getattr_l__self___encoder_layer___1___attention_output_dense_weight, %p_getattr_l__self___encoder_layer___1___attention_output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0362767Z     %add_21 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_21, %add_18), kwargs = {})
2025-03-21T20:23:47.0363355Z     %mul_12 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_21, %p_getattr_l__self___encoder_layer___1___attention_output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0363938Z     %add_22 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_12, %p_getattr_l__self___encoder_layer___1___attention_output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0364902Z     %linear_22 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_22, %p_getattr_getattr_l__self___encoder_layer___1___ffn___0___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___1___ffn___0___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0365271Z     %relu_4 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_22,), kwargs = {})
2025-03-21T20:23:47.0366177Z     %linear_23 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_4, %p_getattr_getattr_l__self___encoder_layer___1___ffn___0___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___1___ffn___0___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0366617Z     %add_23 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_23, %add_22), kwargs = {})
2025-03-21T20:23:47.0367226Z     %mul_13 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_23, %p_getattr_getattr_l__self___encoder_layer___1___ffn___0___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0367889Z     %add_24 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_13, %p_getattr_getattr_l__self___encoder_layer___1___ffn___0___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0368844Z     %linear_24 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_24, %p_getattr_getattr_l__self___encoder_layer___1___ffn___1___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___1___ffn___1___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0369220Z     %relu_5 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_24,), kwargs = {})
2025-03-21T20:23:47.0370129Z     %linear_25 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_5, %p_getattr_getattr_l__self___encoder_layer___1___ffn___1___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___1___ffn___1___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0370510Z     %add_25 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_25, %add_24), kwargs = {})
2025-03-21T20:23:47.0371127Z     %mul_14 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_25, %p_getattr_getattr_l__self___encoder_layer___1___ffn___1___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0371745Z     %add_26 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_14, %p_getattr_getattr_l__self___encoder_layer___1___ffn___1___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0372707Z     %linear_26 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_26, %p_getattr_getattr_l__self___encoder_layer___1___ffn___2___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___1___ffn___2___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0373080Z     %relu_6 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_26,), kwargs = {})
2025-03-21T20:23:47.0373991Z     %linear_27 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_6, %p_getattr_getattr_l__self___encoder_layer___1___ffn___2___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___1___ffn___2___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0374376Z     %add_27 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_27, %add_26), kwargs = {})
2025-03-21T20:23:47.0374992Z     %mul_15 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_27, %p_getattr_getattr_l__self___encoder_layer___1___ffn___2___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0375596Z     %add_28 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_15, %p_getattr_getattr_l__self___encoder_layer___1___ffn___2___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0376455Z     %linear_28 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_28, %p_getattr_l__self___encoder_layer___1___intermediate_dense_weight, %p_getattr_l__self___encoder_layer___1___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0376810Z     %relu_7 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_28,), kwargs = {})
2025-03-21T20:23:47.0377611Z     %linear_29 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_7, %p_getattr_l__self___encoder_layer___1___output_dense_weight, %p_getattr_l__self___encoder_layer___1___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0378043Z     %add_29 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_29, %add_28), kwargs = {})
2025-03-21T20:23:47.0378613Z     %mul_16 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_29, %p_getattr_l__self___encoder_layer___1___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0379156Z     %add_30 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_16, %p_getattr_l__self___encoder_layer___1___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0380096Z     %linear_30 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_30, %p_getattr_l__self___encoder_layer___1___output_bottleneck_dense_weight, %p_getattr_l__self___encoder_layer___1___output_bottleneck_dense_bias), kwargs = {})
2025-03-21T20:23:47.0380535Z     %dropout_4 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_30, 0.0, False), kwargs = {})
2025-03-21T20:23:47.0380923Z     %add_31 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_4, %add_17), kwargs = {})
2025-03-21T20:23:47.0381513Z     %mul_17 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_31, %p_getattr_l__self___encoder_layer___1___output_bottleneck_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0382109Z     %add_32 : [num_users=4] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_17, %p_getattr_l__self___encoder_layer___1___output_bottleneck_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0382711Z     %lift_fresh_copy_1 : [num_users=1] = call_function[target=torch.ops.aten.lift_fresh_copy.default](args = (%c_getattr_l__self___encoder_layer___1___lifted_tensor_1,), kwargs = {})
2025-03-21T20:23:47.0383137Z     %detach__1 : [num_users=0] = call_function[target=torch.ops.aten.detach_.default](args = (%lift_fresh_copy_1,), kwargs = {})
2025-03-21T20:23:47.0384009Z     %linear_31 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_32, %p_getattr_l__self___encoder_layer___2___bottleneck_input_dense_weight, %p_getattr_l__self___encoder_layer___2___bottleneck_input_dense_bias), kwargs = {})
2025-03-21T20:23:47.0384628Z     %mul_18 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%linear_31, %p_getattr_l__self___encoder_layer___2___bottleneck_input_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0385209Z     %add_33 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_18, %p_getattr_l__self___encoder_layer___2___bottleneck_input_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0386123Z     %linear_32 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_32, %p_getattr_l__self___encoder_layer___2___bottleneck_attention_dense_weight, %p_getattr_l__self___encoder_layer___2___bottleneck_attention_dense_bias), kwargs = {})
2025-03-21T20:23:47.0386744Z     %mul_19 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%linear_32, %p_getattr_l__self___encoder_layer___2___bottleneck_attention_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0387349Z     %add_34 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_19, %p_getattr_l__self___encoder_layer___2___bottleneck_attention_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0388203Z     %linear_33 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_34, %p_getattr_l__self___encoder_layer___2___attention_self_query_weight, %p_getattr_l__self___encoder_layer___2___attention_self_query_bias), kwargs = {})
2025-03-21T20:23:47.0389044Z     %linear_34 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_34, %p_getattr_l__self___encoder_layer___2___attention_self_key_weight, %p_getattr_l__self___encoder_layer___2___attention_self_key_bias), kwargs = {})
2025-03-21T20:23:47.0389887Z     %linear_35 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_32, %p_getattr_l__self___encoder_layer___2___attention_self_value_weight, %p_getattr_l__self___encoder_layer___2___attention_self_value_bias), kwargs = {})
2025-03-21T20:23:47.0390373Z     %view_8 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_33, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0390794Z     %permute_8 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_8, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0391253Z     %view_9 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_34, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0391678Z     %permute_9 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_9, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0392088Z     %view_10 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_35, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0392516Z     %permute_10 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_10, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0393029Z     %transpose_2 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%permute_9, -1, -2), kwargs = {})
2025-03-21T20:23:47.0393459Z     %matmul_4 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%permute_8, %transpose_2), kwargs = {})
2025-03-21T20:23:47.0393848Z     %div_2 : [num_users=1] = call_function[target=torch.ops.aten.div.Tensor](args = (%matmul_4, 5.656854249492381), kwargs = {})
2025-03-21T20:23:47.0394210Z     %add_35 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%div_2, %mul), kwargs = {})
2025-03-21T20:23:47.0394583Z     %softmax_2 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_35, -1), kwargs = {})
2025-03-21T20:23:47.0395025Z     %dropout_5 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%softmax_2, 0.1, False), kwargs = {})
2025-03-21T20:23:47.0395451Z     %matmul_5 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%dropout_5, %permute_10), kwargs = {})
2025-03-21T20:23:47.0395892Z     %permute_11 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%matmul_5, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0396322Z     %contiguous_2 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%permute_11,), kwargs = {})
2025-03-21T20:23:47.0396742Z     %view_11 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_2, [1, 8, 128]), kwargs = {})
2025-03-21T20:23:47.0397613Z     %linear_36 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%view_11, %p_getattr_l__self___encoder_layer___2___attention_output_dense_weight, %p_getattr_l__self___encoder_layer___2___attention_output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0397998Z     %add_36 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_36, %add_33), kwargs = {})
2025-03-21T20:23:47.0398580Z     %mul_20 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_36, %p_getattr_l__self___encoder_layer___2___attention_output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0399165Z     %add_37 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_20, %p_getattr_l__self___encoder_layer___2___attention_output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0400132Z     %linear_37 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_37, %p_getattr_getattr_l__self___encoder_layer___2___ffn___0___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___2___ffn___0___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0400503Z     %relu_8 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_37,), kwargs = {})
2025-03-21T20:23:47.0401481Z     %linear_38 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_8, %p_getattr_getattr_l__self___encoder_layer___2___ffn___0___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___2___ffn___0___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0401861Z     %add_38 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_38, %add_37), kwargs = {})
2025-03-21T20:23:47.0402712Z     %mul_21 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_38, %p_getattr_getattr_l__self___encoder_layer___2___ffn___0___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0403441Z     %add_39 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_21, %p_getattr_getattr_l__self___encoder_layer___2___ffn___0___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0404401Z     %linear_39 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_39, %p_getattr_getattr_l__self___encoder_layer___2___ffn___1___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___2___ffn___1___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0404775Z     %relu_9 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_39,), kwargs = {})
2025-03-21T20:23:47.0405688Z     %linear_40 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_9, %p_getattr_getattr_l__self___encoder_layer___2___ffn___1___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___2___ffn___1___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0406075Z     %add_40 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_40, %add_39), kwargs = {})
2025-03-21T20:23:47.0406684Z     %mul_22 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_40, %p_getattr_getattr_l__self___encoder_layer___2___ffn___1___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0407300Z     %add_41 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_22, %p_getattr_getattr_l__self___encoder_layer___2___ffn___1___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0408251Z     %linear_41 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_41, %p_getattr_getattr_l__self___encoder_layer___2___ffn___2___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___2___ffn___2___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0408619Z     %relu_10 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_41,), kwargs = {})
2025-03-21T20:23:47.0409537Z     %linear_42 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_10, %p_getattr_getattr_l__self___encoder_layer___2___ffn___2___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___2___ffn___2___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0409917Z     %add_42 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_42, %add_41), kwargs = {})
2025-03-21T20:23:47.0410532Z     %mul_23 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_42, %p_getattr_getattr_l__self___encoder_layer___2___ffn___2___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0411132Z     %add_43 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_23, %p_getattr_getattr_l__self___encoder_layer___2___ffn___2___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0411989Z     %linear_43 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_43, %p_getattr_l__self___encoder_layer___2___intermediate_dense_weight, %p_getattr_l__self___encoder_layer___2___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0412344Z     %relu_11 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_43,), kwargs = {})
2025-03-21T20:23:47.0413146Z     %linear_44 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_11, %p_getattr_l__self___encoder_layer___2___output_dense_weight, %p_getattr_l__self___encoder_layer___2___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0413597Z     %add_44 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_44, %add_43), kwargs = {})
2025-03-21T20:23:47.0414158Z     %mul_24 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_44, %p_getattr_l__self___encoder_layer___2___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0414743Z     %add_45 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_24, %p_getattr_l__self___encoder_layer___2___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0415632Z     %linear_45 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_45, %p_getattr_l__self___encoder_layer___2___output_bottleneck_dense_weight, %p_getattr_l__self___encoder_layer___2___output_bottleneck_dense_bias), kwargs = {})
2025-03-21T20:23:47.0416074Z     %dropout_6 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_45, 0.0, False), kwargs = {})
2025-03-21T20:23:47.0416453Z     %add_46 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_6, %add_32), kwargs = {})
2025-03-21T20:23:47.0417040Z     %mul_25 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_46, %p_getattr_l__self___encoder_layer___2___output_bottleneck_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0417640Z     %add_47 : [num_users=4] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_25, %p_getattr_l__self___encoder_layer___2___output_bottleneck_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0418238Z     %lift_fresh_copy_2 : [num_users=1] = call_function[target=torch.ops.aten.lift_fresh_copy.default](args = (%c_getattr_l__self___encoder_layer___2___lifted_tensor_2,), kwargs = {})
2025-03-21T20:23:47.0418664Z     %detach__2 : [num_users=0] = call_function[target=torch.ops.aten.detach_.default](args = (%lift_fresh_copy_2,), kwargs = {})
2025-03-21T20:23:47.0419537Z     %linear_46 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_47, %p_getattr_l__self___encoder_layer___3___bottleneck_input_dense_weight, %p_getattr_l__self___encoder_layer___3___bottleneck_input_dense_bias), kwargs = {})
2025-03-21T20:23:47.0420154Z     %mul_26 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%linear_46, %p_getattr_l__self___encoder_layer___3___bottleneck_input_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0420732Z     %add_48 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_26, %p_getattr_l__self___encoder_layer___3___bottleneck_input_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0421645Z     %linear_47 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_47, %p_getattr_l__self___encoder_layer___3___bottleneck_attention_dense_weight, %p_getattr_l__self___encoder_layer___3___bottleneck_attention_dense_bias), kwargs = {})
2025-03-21T20:23:47.0422265Z     %mul_27 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%linear_47, %p_getattr_l__self___encoder_layer___3___bottleneck_attention_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0422864Z     %add_49 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_27, %p_getattr_l__self___encoder_layer___3___bottleneck_attention_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0423719Z     %linear_48 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_49, %p_getattr_l__self___encoder_layer___3___attention_self_query_weight, %p_getattr_l__self___encoder_layer___3___attention_self_query_bias), kwargs = {})
2025-03-21T20:23:47.0424555Z     %linear_49 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_49, %p_getattr_l__self___encoder_layer___3___attention_self_key_weight, %p_getattr_l__self___encoder_layer___3___attention_self_key_bias), kwargs = {})
2025-03-21T20:23:47.0425473Z     %linear_50 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_47, %p_getattr_l__self___encoder_layer___3___attention_self_value_weight, %p_getattr_l__self___encoder_layer___3___attention_self_value_bias), kwargs = {})
2025-03-21T20:23:47.0425890Z     %view_12 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_48, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0426318Z     %permute_12 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_12, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0426790Z     %view_13 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_49, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0427216Z     %permute_13 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_13, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0427630Z     %view_14 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_50, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0428054Z     %permute_14 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_14, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0428489Z     %transpose_3 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%permute_13, -1, -2), kwargs = {})
2025-03-21T20:23:47.0428919Z     %matmul_6 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%permute_12, %transpose_3), kwargs = {})
2025-03-21T20:23:47.0429307Z     %div_3 : [num_users=1] = call_function[target=torch.ops.aten.div.Tensor](args = (%matmul_6, 5.656854249492381), kwargs = {})
2025-03-21T20:23:47.0429666Z     %add_50 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%div_3, %mul), kwargs = {})
2025-03-21T20:23:47.0430037Z     %softmax_3 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_50, -1), kwargs = {})
2025-03-21T20:23:47.0430482Z     %dropout_7 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%softmax_3, 0.1, False), kwargs = {})
2025-03-21T20:23:47.0430903Z     %matmul_7 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%dropout_7, %permute_14), kwargs = {})
2025-03-21T20:23:47.0431344Z     %permute_15 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%matmul_7, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0431772Z     %contiguous_3 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%permute_15,), kwargs = {})
2025-03-21T20:23:47.0432190Z     %view_15 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_3, [1, 8, 128]), kwargs = {})
2025-03-21T20:23:47.0433191Z     %linear_51 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%view_15, %p_getattr_l__self___encoder_layer___3___attention_output_dense_weight, %p_getattr_l__self___encoder_layer___3___attention_output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0433583Z     %add_51 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_51, %add_48), kwargs = {})
2025-03-21T20:23:47.0434173Z     %mul_28 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_51, %p_getattr_l__self___encoder_layer___3___attention_output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0434767Z     %add_52 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_28, %p_getattr_l__self___encoder_layer___3___attention_output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0435727Z     %linear_52 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_52, %p_getattr_getattr_l__self___encoder_layer___3___ffn___0___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___3___ffn___0___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0436100Z     %relu_12 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_52,), kwargs = {})
2025-03-21T20:23:47.0437078Z     %linear_53 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_12, %p_getattr_getattr_l__self___encoder_layer___3___ffn___0___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___3___ffn___0___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0437465Z     %add_53 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_53, %add_52), kwargs = {})
2025-03-21T20:23:47.0438127Z     %mul_29 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_53, %p_getattr_getattr_l__self___encoder_layer___3___ffn___0___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0438741Z     %add_54 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_29, %p_getattr_getattr_l__self___encoder_layer___3___ffn___0___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0439700Z     %linear_54 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_54, %p_getattr_getattr_l__self___encoder_layer___3___ffn___1___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___3___ffn___1___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0440072Z     %relu_13 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_54,), kwargs = {})
2025-03-21T20:23:47.0440979Z     %linear_55 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_13, %p_getattr_getattr_l__self___encoder_layer___3___ffn___1___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___3___ffn___1___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0441359Z     %add_55 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_55, %add_54), kwargs = {})
2025-03-21T20:23:47.0441966Z     %mul_30 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_55, %p_getattr_getattr_l__self___encoder_layer___3___ffn___1___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0442574Z     %add_56 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_30, %p_getattr_getattr_l__self___encoder_layer___3___ffn___1___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0443535Z     %linear_56 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_56, %p_getattr_getattr_l__self___encoder_layer___3___ffn___2___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___3___ffn___2___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0443899Z     %relu_14 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_56,), kwargs = {})
2025-03-21T20:23:47.0444817Z     %linear_57 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_14, %p_getattr_getattr_l__self___encoder_layer___3___ffn___2___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___3___ffn___2___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0445187Z     %add_57 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_57, %add_56), kwargs = {})
2025-03-21T20:23:47.0445805Z     %mul_31 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_57, %p_getattr_getattr_l__self___encoder_layer___3___ffn___2___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0446403Z     %add_58 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_31, %p_getattr_getattr_l__self___encoder_layer___3___ffn___2___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0447263Z     %linear_58 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_58, %p_getattr_l__self___encoder_layer___3___intermediate_dense_weight, %p_getattr_l__self___encoder_layer___3___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0447622Z     %relu_15 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_58,), kwargs = {})
2025-03-21T20:23:47.0448505Z     %linear_59 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_15, %p_getattr_l__self___encoder_layer___3___output_dense_weight, %p_getattr_l__self___encoder_layer___3___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0448873Z     %add_59 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_59, %add_58), kwargs = {})
2025-03-21T20:23:47.0449439Z     %mul_32 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_59, %p_getattr_l__self___encoder_layer___3___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0450034Z     %add_60 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_32, %p_getattr_l__self___encoder_layer___3___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0450930Z     %linear_60 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_60, %p_getattr_l__self___encoder_layer___3___output_bottleneck_dense_weight, %p_getattr_l__self___encoder_layer___3___output_bottleneck_dense_bias), kwargs = {})
2025-03-21T20:23:47.0451370Z     %dropout_8 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_60, 0.0, False), kwargs = {})
2025-03-21T20:23:47.0451755Z     %add_61 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_8, %add_47), kwargs = {})
2025-03-21T20:23:47.0452344Z     %mul_33 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_61, %p_getattr_l__self___encoder_layer___3___output_bottleneck_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0452942Z     %add_62 : [num_users=4] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_33, %p_getattr_l__self___encoder_layer___3___output_bottleneck_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0453542Z     %lift_fresh_copy_3 : [num_users=1] = call_function[target=torch.ops.aten.lift_fresh_copy.default](args = (%c_getattr_l__self___encoder_layer___3___lifted_tensor_3,), kwargs = {})
2025-03-21T20:23:47.0453972Z     %detach__3 : [num_users=0] = call_function[target=torch.ops.aten.detach_.default](args = (%lift_fresh_copy_3,), kwargs = {})
2025-03-21T20:23:47.0454841Z     %linear_61 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_62, %p_getattr_l__self___encoder_layer___4___bottleneck_input_dense_weight, %p_getattr_l__self___encoder_layer___4___bottleneck_input_dense_bias), kwargs = {})
2025-03-21T20:23:47.0455463Z     %mul_34 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%linear_61, %p_getattr_l__self___encoder_layer___4___bottleneck_input_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0456043Z     %add_63 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_34, %p_getattr_l__self___encoder_layer___4___bottleneck_input_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0456955Z     %linear_62 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_62, %p_getattr_l__self___encoder_layer___4___bottleneck_attention_dense_weight, %p_getattr_l__self___encoder_layer___4___bottleneck_attention_dense_bias), kwargs = {})
2025-03-21T20:23:47.0457575Z     %mul_35 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%linear_62, %p_getattr_l__self___encoder_layer___4___bottleneck_attention_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0458183Z     %add_64 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_35, %p_getattr_l__self___encoder_layer___4___bottleneck_attention_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0459034Z     %linear_63 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_64, %p_getattr_l__self___encoder_layer___4___attention_self_query_weight, %p_getattr_l__self___encoder_layer___4___attention_self_query_bias), kwargs = {})
2025-03-21T20:23:47.0459873Z     %linear_64 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_64, %p_getattr_l__self___encoder_layer___4___attention_self_key_weight, %p_getattr_l__self___encoder_layer___4___attention_self_key_bias), kwargs = {})
2025-03-21T20:23:47.0460767Z     %linear_65 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_62, %p_getattr_l__self___encoder_layer___4___attention_self_value_weight, %p_getattr_l__self___encoder_layer___4___attention_self_value_bias), kwargs = {})
2025-03-21T20:23:47.0461180Z     %view_16 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_63, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0461657Z     %permute_16 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_16, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0462067Z     %view_17 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_64, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0462491Z     %permute_17 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_17, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0462907Z     %view_18 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_65, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0463329Z     %permute_18 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_18, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0463751Z     %transpose_4 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%permute_17, -1, -2), kwargs = {})
2025-03-21T20:23:47.0464198Z     %matmul_8 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%permute_16, %transpose_4), kwargs = {})
2025-03-21T20:23:47.0464582Z     %div_4 : [num_users=1] = call_function[target=torch.ops.aten.div.Tensor](args = (%matmul_8, 5.656854249492381), kwargs = {})
2025-03-21T20:23:47.0464942Z     %add_65 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%div_4, %mul), kwargs = {})
2025-03-21T20:23:47.0465316Z     %softmax_4 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_65, -1), kwargs = {})
2025-03-21T20:23:47.0465756Z     %dropout_9 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%softmax_4, 0.1, False), kwargs = {})
2025-03-21T20:23:47.0466180Z     %matmul_9 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%dropout_9, %permute_18), kwargs = {})
2025-03-21T20:23:47.0466618Z     %permute_19 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%matmul_9, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0467049Z     %contiguous_4 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%permute_19,), kwargs = {})
2025-03-21T20:23:47.0467465Z     %view_19 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_4, [1, 8, 128]), kwargs = {})
2025-03-21T20:23:47.0468339Z     %linear_66 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%view_19, %p_getattr_l__self___encoder_layer___4___attention_output_dense_weight, %p_getattr_l__self___encoder_layer___4___attention_output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0468727Z     %add_66 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_66, %add_63), kwargs = {})
2025-03-21T20:23:47.0469310Z     %mul_36 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_66, %p_getattr_l__self___encoder_layer___4___attention_output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0469904Z     %add_67 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_36, %p_getattr_l__self___encoder_layer___4___attention_output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0470865Z     %linear_67 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_67, %p_getattr_getattr_l__self___encoder_layer___4___ffn___0___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___4___ffn___0___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0471291Z     %relu_16 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_67,), kwargs = {})
2025-03-21T20:23:47.0472207Z     %linear_68 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_16, %p_getattr_getattr_l__self___encoder_layer___4___ffn___0___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___4___ffn___0___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0472595Z     %add_68 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_68, %add_67), kwargs = {})
2025-03-21T20:23:47.0473357Z     %mul_37 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_68, %p_getattr_getattr_l__self___encoder_layer___4___ffn___0___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0473982Z     %add_69 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_37, %p_getattr_getattr_l__self___encoder_layer___4___ffn___0___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0474948Z     %linear_69 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_69, %p_getattr_getattr_l__self___encoder_layer___4___ffn___1___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___4___ffn___1___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0475320Z     %relu_17 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_69,), kwargs = {})
2025-03-21T20:23:47.0476241Z     %linear_70 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_17, %p_getattr_getattr_l__self___encoder_layer___4___ffn___1___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___4___ffn___1___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0476627Z     %add_70 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_70, %add_69), kwargs = {})
2025-03-21T20:23:47.0477245Z     %mul_38 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_70, %p_getattr_getattr_l__self___encoder_layer___4___ffn___1___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0477848Z     %add_71 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_38, %p_getattr_getattr_l__self___encoder_layer___4___ffn___1___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0478827Z     %linear_71 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_71, %p_getattr_getattr_l__self___encoder_layer___4___ffn___2___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___4___ffn___2___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0479188Z     %relu_18 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_71,), kwargs = {})
2025-03-21T20:23:47.0480114Z     %linear_72 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_18, %p_getattr_getattr_l__self___encoder_layer___4___ffn___2___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___4___ffn___2___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0480485Z     %add_72 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_72, %add_71), kwargs = {})
2025-03-21T20:23:47.0481112Z     %mul_39 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_72, %p_getattr_getattr_l__self___encoder_layer___4___ffn___2___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0481717Z     %add_73 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_39, %p_getattr_getattr_l__self___encoder_layer___4___ffn___2___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0482575Z     %linear_73 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_73, %p_getattr_l__self___encoder_layer___4___intermediate_dense_weight, %p_getattr_l__self___encoder_layer___4___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0482992Z     %relu_19 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_73,), kwargs = {})
2025-03-21T20:23:47.0483795Z     %linear_74 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_19, %p_getattr_l__self___encoder_layer___4___output_dense_weight, %p_getattr_l__self___encoder_layer___4___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0484163Z     %add_74 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_74, %add_73), kwargs = {})
2025-03-21T20:23:47.0484773Z     %mul_40 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_74, %p_getattr_l__self___encoder_layer___4___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0485315Z     %add_75 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_40, %p_getattr_l__self___encoder_layer___4___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0486202Z     %linear_75 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_75, %p_getattr_l__self___encoder_layer___4___output_bottleneck_dense_weight, %p_getattr_l__self___encoder_layer___4___output_bottleneck_dense_bias), kwargs = {})
2025-03-21T20:23:47.0486645Z     %dropout_10 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_75, 0.0, False), kwargs = {})
2025-03-21T20:23:47.0487030Z     %add_76 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_10, %add_62), kwargs = {})
2025-03-21T20:23:47.0487621Z     %mul_41 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_76, %p_getattr_l__self___encoder_layer___4___output_bottleneck_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0488211Z     %add_77 : [num_users=4] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_41, %p_getattr_l__self___encoder_layer___4___output_bottleneck_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0488807Z     %lift_fresh_copy_4 : [num_users=1] = call_function[target=torch.ops.aten.lift_fresh_copy.default](args = (%c_getattr_l__self___encoder_layer___4___lifted_tensor_4,), kwargs = {})
2025-03-21T20:23:47.0489242Z     %detach__4 : [num_users=0] = call_function[target=torch.ops.aten.detach_.default](args = (%lift_fresh_copy_4,), kwargs = {})
2025-03-21T20:23:47.0490104Z     %linear_76 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_77, %p_getattr_l__self___encoder_layer___5___bottleneck_input_dense_weight, %p_getattr_l__self___encoder_layer___5___bottleneck_input_dense_bias), kwargs = {})
2025-03-21T20:23:47.0490728Z     %mul_42 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%linear_76, %p_getattr_l__self___encoder_layer___5___bottleneck_input_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0491304Z     %add_78 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_42, %p_getattr_l__self___encoder_layer___5___bottleneck_input_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0492223Z     %linear_77 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_77, %p_getattr_l__self___encoder_layer___5___bottleneck_attention_dense_weight, %p_getattr_l__self___encoder_layer___5___bottleneck_attention_dense_bias), kwargs = {})
2025-03-21T20:23:47.0492847Z     %mul_43 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%linear_77, %p_getattr_l__self___encoder_layer___5___bottleneck_attention_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0493452Z     %add_79 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_43, %p_getattr_l__self___encoder_layer___5___bottleneck_attention_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0494302Z     %linear_78 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_79, %p_getattr_l__self___encoder_layer___5___attention_self_query_weight, %p_getattr_l__self___encoder_layer___5___attention_self_query_bias), kwargs = {})
2025-03-21T20:23:47.0495187Z     %linear_79 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_79, %p_getattr_l__self___encoder_layer___5___attention_self_key_weight, %p_getattr_l__self___encoder_layer___5___attention_self_key_bias), kwargs = {})
2025-03-21T20:23:47.0496026Z     %linear_80 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_77, %p_getattr_l__self___encoder_layer___5___attention_self_value_weight, %p_getattr_l__self___encoder_layer___5___attention_self_value_bias), kwargs = {})
2025-03-21T20:23:47.0496487Z     %view_20 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_78, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0496914Z     %permute_20 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_20, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0497321Z     %view_21 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_79, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0497749Z     %permute_21 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_21, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0498158Z     %view_22 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_80, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0498580Z     %permute_22 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_22, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0499003Z     %transpose_5 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%permute_21, -1, -2), kwargs = {})
2025-03-21T20:23:47.0499448Z     %matmul_10 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%permute_20, %transpose_5), kwargs = {})
2025-03-21T20:23:47.0499838Z     %div_5 : [num_users=1] = call_function[target=torch.ops.aten.div.Tensor](args = (%matmul_10, 5.656854249492381), kwargs = {})
2025-03-21T20:23:47.0500198Z     %add_80 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%div_5, %mul), kwargs = {})
2025-03-21T20:23:47.0500570Z     %softmax_5 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_80, -1), kwargs = {})
2025-03-21T20:23:47.0501016Z     %dropout_11 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%softmax_5, 0.1, False), kwargs = {})
2025-03-21T20:23:47.0501438Z     %matmul_11 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%dropout_11, %permute_22), kwargs = {})
2025-03-21T20:23:47.0501885Z     %permute_23 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%matmul_11, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0502642Z     %contiguous_5 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%permute_23,), kwargs = {})
2025-03-21T20:23:47.0503066Z     %view_23 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_5, [1, 8, 128]), kwargs = {})
2025-03-21T20:23:47.0503949Z     %linear_81 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%view_23, %p_getattr_l__self___encoder_layer___5___attention_output_dense_weight, %p_getattr_l__self___encoder_layer___5___attention_output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0504331Z     %add_81 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_81, %add_78), kwargs = {})
2025-03-21T20:23:47.0504923Z     %mul_44 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_81, %p_getattr_l__self___encoder_layer___5___attention_output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0505512Z     %add_82 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_44, %p_getattr_l__self___encoder_layer___5___attention_output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0506468Z     %linear_82 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_82, %p_getattr_getattr_l__self___encoder_layer___5___ffn___0___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___5___ffn___0___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0506974Z     %relu_20 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_82,), kwargs = {})
2025-03-21T20:23:47.0507887Z     %linear_83 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_20, %p_getattr_getattr_l__self___encoder_layer___5___ffn___0___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___5___ffn___0___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0508345Z     %add_83 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_83, %add_82), kwargs = {})
2025-03-21T20:23:47.0508960Z     %mul_45 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_83, %p_getattr_getattr_l__self___encoder_layer___5___ffn___0___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0509567Z     %add_84 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_45, %p_getattr_getattr_l__self___encoder_layer___5___ffn___0___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0510535Z     %linear_84 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_84, %p_getattr_getattr_l__self___encoder_layer___5___ffn___1___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___5___ffn___1___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0510909Z     %relu_21 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_84,), kwargs = {})
2025-03-21T20:23:47.0511826Z     %linear_85 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_21, %p_getattr_getattr_l__self___encoder_layer___5___ffn___1___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___5___ffn___1___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0512192Z     %add_85 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_85, %add_84), kwargs = {})
2025-03-21T20:23:47.0512817Z     %mul_46 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_85, %p_getattr_getattr_l__self___encoder_layer___5___ffn___1___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0513507Z     %add_86 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_46, %p_getattr_getattr_l__self___encoder_layer___5___ffn___1___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0514477Z     %linear_86 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_86, %p_getattr_getattr_l__self___encoder_layer___5___ffn___2___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___5___ffn___2___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0514838Z     %relu_22 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_86,), kwargs = {})
2025-03-21T20:23:47.0515761Z     %linear_87 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_22, %p_getattr_getattr_l__self___encoder_layer___5___ffn___2___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___5___ffn___2___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0516130Z     %add_87 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_87, %add_86), kwargs = {})
2025-03-21T20:23:47.0516751Z     %mul_47 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_87, %p_getattr_getattr_l__self___encoder_layer___5___ffn___2___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0517360Z     %add_88 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_47, %p_getattr_getattr_l__self___encoder_layer___5___ffn___2___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0518215Z     %linear_88 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_88, %p_getattr_l__self___encoder_layer___5___intermediate_dense_weight, %p_getattr_l__self___encoder_layer___5___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0518654Z     %relu_23 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_88,), kwargs = {})
2025-03-21T20:23:47.0519466Z     %linear_89 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_23, %p_getattr_l__self___encoder_layer___5___output_dense_weight, %p_getattr_l__self___encoder_layer___5___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0519881Z     %add_89 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_89, %add_88), kwargs = {})
2025-03-21T20:23:47.0520446Z     %mul_48 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_89, %p_getattr_l__self___encoder_layer___5___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0520989Z     %add_90 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_48, %p_getattr_l__self___encoder_layer___5___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0521880Z     %linear_90 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_90, %p_getattr_l__self___encoder_layer___5___output_bottleneck_dense_weight, %p_getattr_l__self___encoder_layer___5___output_bottleneck_dense_bias), kwargs = {})
2025-03-21T20:23:47.0522314Z     %dropout_12 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_90, 0.0, False), kwargs = {})
2025-03-21T20:23:47.0522697Z     %add_91 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_12, %add_77), kwargs = {})
2025-03-21T20:23:47.0523289Z     %mul_49 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_91, %p_getattr_l__self___encoder_layer___5___output_bottleneck_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0523883Z     %add_92 : [num_users=4] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_49, %p_getattr_l__self___encoder_layer___5___output_bottleneck_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0524490Z     %lift_fresh_copy_5 : [num_users=1] = call_function[target=torch.ops.aten.lift_fresh_copy.default](args = (%c_getattr_l__self___encoder_layer___5___lifted_tensor_5,), kwargs = {})
2025-03-21T20:23:47.0524915Z     %detach__5 : [num_users=0] = call_function[target=torch.ops.aten.detach_.default](args = (%lift_fresh_copy_5,), kwargs = {})
2025-03-21T20:23:47.0525784Z     %linear_91 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_92, %p_getattr_l__self___encoder_layer___6___bottleneck_input_dense_weight, %p_getattr_l__self___encoder_layer___6___bottleneck_input_dense_bias), kwargs = {})
2025-03-21T20:23:47.0526406Z     %mul_50 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%linear_91, %p_getattr_l__self___encoder_layer___6___bottleneck_input_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0526978Z     %add_93 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_50, %p_getattr_l__self___encoder_layer___6___bottleneck_input_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0527895Z     %linear_92 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_92, %p_getattr_l__self___encoder_layer___6___bottleneck_attention_dense_weight, %p_getattr_l__self___encoder_layer___6___bottleneck_attention_dense_bias), kwargs = {})
2025-03-21T20:23:47.0528511Z     %mul_51 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%linear_92, %p_getattr_l__self___encoder_layer___6___bottleneck_attention_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0529115Z     %add_94 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_51, %p_getattr_l__self___encoder_layer___6___bottleneck_attention_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0529958Z     %linear_93 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_94, %p_getattr_l__self___encoder_layer___6___attention_self_query_weight, %p_getattr_l__self___encoder_layer___6___attention_self_query_bias), kwargs = {})
2025-03-21T20:23:47.0530859Z     %linear_94 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_94, %p_getattr_l__self___encoder_layer___6___attention_self_key_weight, %p_getattr_l__self___encoder_layer___6___attention_self_key_bias), kwargs = {})
2025-03-21T20:23:47.0531749Z     %linear_95 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_92, %p_getattr_l__self___encoder_layer___6___attention_self_value_weight, %p_getattr_l__self___encoder_layer___6___attention_self_value_bias), kwargs = {})
2025-03-21T20:23:47.0532164Z     %view_24 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_93, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0532589Z     %permute_24 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_24, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0533004Z     %view_25 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_94, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0533429Z     %permute_25 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_25, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0533838Z     %view_26 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_95, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0534262Z     %permute_26 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_26, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0534692Z     %transpose_6 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%permute_25, -1, -2), kwargs = {})
2025-03-21T20:23:47.0535136Z     %matmul_12 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%permute_24, %transpose_6), kwargs = {})
2025-03-21T20:23:47.0535525Z     %div_6 : [num_users=1] = call_function[target=torch.ops.aten.div.Tensor](args = (%matmul_12, 5.656854249492381), kwargs = {})
2025-03-21T20:23:47.0535888Z     %add_95 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%div_6, %mul), kwargs = {})
2025-03-21T20:23:47.0536260Z     %softmax_6 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_95, -1), kwargs = {})
2025-03-21T20:23:47.0536703Z     %dropout_13 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%softmax_6, 0.1, False), kwargs = {})
2025-03-21T20:23:47.0537134Z     %matmul_13 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%dropout_13, %permute_26), kwargs = {})
2025-03-21T20:23:47.0537578Z     %permute_27 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%matmul_13, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0538008Z     %contiguous_6 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%permute_27,), kwargs = {})
2025-03-21T20:23:47.0538429Z     %view_27 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_6, [1, 8, 128]), kwargs = {})
2025-03-21T20:23:47.0539305Z     %linear_96 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%view_27, %p_getattr_l__self___encoder_layer___6___attention_output_dense_weight, %p_getattr_l__self___encoder_layer___6___attention_output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0539684Z     %add_96 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_96, %add_93), kwargs = {})
2025-03-21T20:23:47.0540271Z     %mul_52 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_96, %p_getattr_l__self___encoder_layer___6___attention_output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0540861Z     %add_97 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_52, %p_getattr_l__self___encoder_layer___6___attention_output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0541879Z     %linear_97 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_97, %p_getattr_getattr_l__self___encoder_layer___6___ffn___0___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___6___ffn___0___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0542252Z     %relu_24 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_97,), kwargs = {})
2025-03-21T20:23:47.0543206Z     %linear_98 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_24, %p_getattr_getattr_l__self___encoder_layer___6___ffn___0___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___6___ffn___0___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0543589Z     %add_98 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_98, %add_97), kwargs = {})
2025-03-21T20:23:47.0544201Z     %mul_53 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_98, %p_getattr_getattr_l__self___encoder_layer___6___ffn___0___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0544807Z     %add_99 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_53, %p_getattr_getattr_l__self___encoder_layer___6___ffn___0___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0545775Z     %linear_99 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_99, %p_getattr_getattr_l__self___encoder_layer___6___ffn___1___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___6___ffn___1___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0546136Z     %relu_25 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_99,), kwargs = {})
2025-03-21T20:23:47.0547069Z     %linear_100 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_25, %p_getattr_getattr_l__self___encoder_layer___6___ffn___1___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___6___ffn___1___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0547452Z     %add_100 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_100, %add_99), kwargs = {})
2025-03-21T20:23:47.0548085Z     %mul_54 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_100, %p_getattr_getattr_l__self___encoder_layer___6___ffn___1___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0548700Z     %add_101 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_54, %p_getattr_getattr_l__self___encoder_layer___6___ffn___1___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0549683Z     %linear_101 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_101, %p_getattr_getattr_l__self___encoder_layer___6___ffn___2___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___6___ffn___2___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0550054Z     %relu_26 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_101,), kwargs = {})
2025-03-21T20:23:47.0550981Z     %linear_102 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_26, %p_getattr_getattr_l__self___encoder_layer___6___ffn___2___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___6___ffn___2___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0551365Z     %add_102 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_102, %add_101), kwargs = {})
2025-03-21T20:23:47.0551999Z     %mul_55 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_102, %p_getattr_getattr_l__self___encoder_layer___6___ffn___2___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0552611Z     %add_103 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_55, %p_getattr_getattr_l__self___encoder_layer___6___ffn___2___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0553653Z     %linear_103 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_103, %p_getattr_l__self___encoder_layer___6___intermediate_dense_weight, %p_getattr_l__self___encoder_layer___6___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0554018Z     %relu_27 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_103,), kwargs = {})
2025-03-21T20:23:47.0554883Z     %linear_104 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_27, %p_getattr_l__self___encoder_layer___6___output_dense_weight, %p_getattr_l__self___encoder_layer___6___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0555262Z     %add_104 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_104, %add_103), kwargs = {})
2025-03-21T20:23:47.0555829Z     %mul_56 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_104, %p_getattr_l__self___encoder_layer___6___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0556377Z     %add_105 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_56, %p_getattr_l__self___encoder_layer___6___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0557277Z     %linear_105 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_105, %p_getattr_l__self___encoder_layer___6___output_bottleneck_dense_weight, %p_getattr_l__self___encoder_layer___6___output_bottleneck_dense_bias), kwargs = {})
2025-03-21T20:23:47.0557717Z     %dropout_14 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_105, 0.0, False), kwargs = {})
2025-03-21T20:23:47.0558111Z     %add_106 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_14, %add_92), kwargs = {})
2025-03-21T20:23:47.0558704Z     %mul_57 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_106, %p_getattr_l__self___encoder_layer___6___output_bottleneck_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0559315Z     %add_107 : [num_users=4] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_57, %p_getattr_l__self___encoder_layer___6___output_bottleneck_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0559910Z     %lift_fresh_copy_6 : [num_users=1] = call_function[target=torch.ops.aten.lift_fresh_copy.default](args = (%c_getattr_l__self___encoder_layer___6___lifted_tensor_6,), kwargs = {})
2025-03-21T20:23:47.0560332Z     %detach__6 : [num_users=0] = call_function[target=torch.ops.aten.detach_.default](args = (%lift_fresh_copy_6,), kwargs = {})
2025-03-21T20:23:47.0561216Z     %linear_106 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_107, %p_getattr_l__self___encoder_layer___7___bottleneck_input_dense_weight, %p_getattr_l__self___encoder_layer___7___bottleneck_input_dense_bias), kwargs = {})
2025-03-21T20:23:47.0561835Z     %mul_58 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%linear_106, %p_getattr_l__self___encoder_layer___7___bottleneck_input_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0562420Z     %add_108 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_58, %p_getattr_l__self___encoder_layer___7___bottleneck_input_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0563346Z     %linear_107 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_107, %p_getattr_l__self___encoder_layer___7___bottleneck_attention_dense_weight, %p_getattr_l__self___encoder_layer___7___bottleneck_attention_dense_bias), kwargs = {})
2025-03-21T20:23:47.0563970Z     %mul_59 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%linear_107, %p_getattr_l__self___encoder_layer___7___bottleneck_attention_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0564579Z     %add_109 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_59, %p_getattr_l__self___encoder_layer___7___bottleneck_attention_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0565551Z     %linear_108 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_109, %p_getattr_l__self___encoder_layer___7___attention_self_query_weight, %p_getattr_l__self___encoder_layer___7___attention_self_query_bias), kwargs = {})
2025-03-21T20:23:47.0566397Z     %linear_109 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_109, %p_getattr_l__self___encoder_layer___7___attention_self_key_weight, %p_getattr_l__self___encoder_layer___7___attention_self_key_bias), kwargs = {})
2025-03-21T20:23:47.0567298Z     %linear_110 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_107, %p_getattr_l__self___encoder_layer___7___attention_self_value_weight, %p_getattr_l__self___encoder_layer___7___attention_self_value_bias), kwargs = {})
2025-03-21T20:23:47.0567718Z     %view_28 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_108, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0568148Z     %permute_28 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_28, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0568560Z     %view_29 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_109, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0568983Z     %permute_29 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_29, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0569400Z     %view_30 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_110, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0569824Z     %permute_30 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_30, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0570248Z     %transpose_7 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%permute_29, -1, -2), kwargs = {})
2025-03-21T20:23:47.0570702Z     %matmul_14 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%permute_28, %transpose_7), kwargs = {})
2025-03-21T20:23:47.0571096Z     %div_7 : [num_users=1] = call_function[target=torch.ops.aten.div.Tensor](args = (%matmul_14, 5.656854249492381), kwargs = {})
2025-03-21T20:23:47.0571462Z     %add_110 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%div_7, %mul), kwargs = {})
2025-03-21T20:23:47.0571839Z     %softmax_7 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_110, -1), kwargs = {})
2025-03-21T20:23:47.0572287Z     %dropout_15 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%softmax_7, 0.1, False), kwargs = {})
2025-03-21T20:23:47.0572714Z     %matmul_15 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%dropout_15, %permute_30), kwargs = {})
2025-03-21T20:23:47.0573159Z     %permute_31 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%matmul_15, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0573592Z     %contiguous_7 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%permute_31,), kwargs = {})
2025-03-21T20:23:47.0574013Z     %view_31 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_7, [1, 8, 128]), kwargs = {})
2025-03-21T20:23:47.0574894Z     %linear_111 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%view_31, %p_getattr_l__self___encoder_layer___7___attention_output_dense_weight, %p_getattr_l__self___encoder_layer___7___attention_output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0575291Z     %add_111 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_111, %add_108), kwargs = {})
2025-03-21T20:23:47.0575885Z     %mul_60 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_111, %p_getattr_l__self___encoder_layer___7___attention_output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0576538Z     %add_112 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_60, %p_getattr_l__self___encoder_layer___7___attention_output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0577509Z     %linear_112 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_112, %p_getattr_getattr_l__self___encoder_layer___7___ffn___0___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___7___ffn___0___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0577889Z     %relu_28 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_112,), kwargs = {})
2025-03-21T20:23:47.0578852Z     %linear_113 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_28, %p_getattr_getattr_l__self___encoder_layer___7___ffn___0___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___7___ffn___0___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0579249Z     %add_113 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_113, %add_112), kwargs = {})
2025-03-21T20:23:47.0579873Z     %mul_61 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_113, %p_getattr_getattr_l__self___encoder_layer___7___ffn___0___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0580495Z     %add_114 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_61, %p_getattr_getattr_l__self___encoder_layer___7___ffn___0___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0581471Z     %linear_114 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_114, %p_getattr_getattr_l__self___encoder_layer___7___ffn___1___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___7___ffn___1___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0581851Z     %relu_29 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_114,), kwargs = {})
2025-03-21T20:23:47.0582769Z     %linear_115 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_29, %p_getattr_getattr_l__self___encoder_layer___7___ffn___1___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___7___ffn___1___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0583166Z     %add_115 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_115, %add_114), kwargs = {})
2025-03-21T20:23:47.0583783Z     %mul_62 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_115, %p_getattr_getattr_l__self___encoder_layer___7___ffn___1___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0584402Z     %add_116 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_62, %p_getattr_getattr_l__self___encoder_layer___7___ffn___1___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0585383Z     %linear_116 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_116, %p_getattr_getattr_l__self___encoder_layer___7___ffn___2___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___7___ffn___2___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0585753Z     %relu_30 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_116,), kwargs = {})
2025-03-21T20:23:47.0586680Z     %linear_117 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_30, %p_getattr_getattr_l__self___encoder_layer___7___ffn___2___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___7___ffn___2___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0587060Z     %add_117 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_117, %add_116), kwargs = {})
2025-03-21T20:23:47.0587692Z     %mul_63 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_117, %p_getattr_getattr_l__self___encoder_layer___7___ffn___2___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0588298Z     %add_118 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_63, %p_getattr_getattr_l__self___encoder_layer___7___ffn___2___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0589219Z     %linear_118 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_118, %p_getattr_l__self___encoder_layer___7___intermediate_dense_weight, %p_getattr_l__self___encoder_layer___7___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0589581Z     %relu_31 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_118,), kwargs = {})
2025-03-21T20:23:47.0590434Z     %linear_119 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_31, %p_getattr_l__self___encoder_layer___7___output_dense_weight, %p_getattr_l__self___encoder_layer___7___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0590818Z     %add_119 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_119, %add_118), kwargs = {})
2025-03-21T20:23:47.0591388Z     %mul_64 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_119, %p_getattr_l__self___encoder_layer___7___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0591939Z     %add_120 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_64, %p_getattr_l__self___encoder_layer___7___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0592841Z     %linear_120 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_120, %p_getattr_l__self___encoder_layer___7___output_bottleneck_dense_weight, %p_getattr_l__self___encoder_layer___7___output_bottleneck_dense_bias), kwargs = {})
2025-03-21T20:23:47.0600628Z     %dropout_16 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_120, 0.0, False), kwargs = {})
2025-03-21T20:23:47.0601089Z     %add_121 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_16, %add_107), kwargs = {})
2025-03-21T20:23:47.0601741Z     %mul_65 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_121, %p_getattr_l__self___encoder_layer___7___output_bottleneck_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0602610Z     %add_122 : [num_users=4] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_65, %p_getattr_l__self___encoder_layer___7___output_bottleneck_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0603226Z     %lift_fresh_copy_7 : [num_users=1] = call_function[target=torch.ops.aten.lift_fresh_copy.default](args = (%c_getattr_l__self___encoder_layer___7___lifted_tensor_7,), kwargs = {})
2025-03-21T20:23:47.0603649Z     %detach__7 : [num_users=0] = call_function[target=torch.ops.aten.detach_.default](args = (%lift_fresh_copy_7,), kwargs = {})
2025-03-21T20:23:47.0604547Z     %linear_121 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_122, %p_getattr_l__self___encoder_layer___8___bottleneck_input_dense_weight, %p_getattr_l__self___encoder_layer___8___bottleneck_input_dense_bias), kwargs = {})
2025-03-21T20:23:47.0605161Z     %mul_66 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%linear_121, %p_getattr_l__self___encoder_layer___8___bottleneck_input_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0605761Z     %add_123 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_66, %p_getattr_l__self___encoder_layer___8___bottleneck_input_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0606682Z     %linear_122 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_122, %p_getattr_l__self___encoder_layer___8___bottleneck_attention_dense_weight, %p_getattr_l__self___encoder_layer___8___bottleneck_attention_dense_bias), kwargs = {})
2025-03-21T20:23:47.0607316Z     %mul_67 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%linear_122, %p_getattr_l__self___encoder_layer___8___bottleneck_attention_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0608112Z     %add_124 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_67, %p_getattr_l__self___encoder_layer___8___bottleneck_attention_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0608990Z     %linear_123 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_124, %p_getattr_l__self___encoder_layer___8___attention_self_query_weight, %p_getattr_l__self___encoder_layer___8___attention_self_query_bias), kwargs = {})
2025-03-21T20:23:47.0609959Z     %linear_124 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_124, %p_getattr_l__self___encoder_layer___8___attention_self_key_weight, %p_getattr_l__self___encoder_layer___8___attention_self_key_bias), kwargs = {})
2025-03-21T20:23:47.0610840Z     %linear_125 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_122, %p_getattr_l__self___encoder_layer___8___attention_self_value_weight, %p_getattr_l__self___encoder_layer___8___attention_self_value_bias), kwargs = {})
2025-03-21T20:23:47.0611250Z     %view_32 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_123, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0611695Z     %permute_32 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_32, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0612098Z     %view_33 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_124, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0612526Z     %permute_33 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_33, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0612948Z     %view_34 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_125, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0613373Z     %permute_34 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_34, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0613819Z     %transpose_8 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%permute_33, -1, -2), kwargs = {})
2025-03-21T20:23:47.0614251Z     %matmul_16 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%permute_32, %transpose_8), kwargs = {})
2025-03-21T20:23:47.0614655Z     %div_8 : [num_users=1] = call_function[target=torch.ops.aten.div.Tensor](args = (%matmul_16, 5.656854249492381), kwargs = {})
2025-03-21T20:23:47.0615011Z     %add_125 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%div_8, %mul), kwargs = {})
2025-03-21T20:23:47.0615406Z     %softmax_8 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_125, -1), kwargs = {})
2025-03-21T20:23:47.0615837Z     %dropout_17 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%softmax_8, 0.1, False), kwargs = {})
2025-03-21T20:23:47.0616276Z     %matmul_17 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%dropout_17, %permute_34), kwargs = {})
2025-03-21T20:23:47.0616711Z     %permute_35 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%matmul_17, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0617152Z     %contiguous_8 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%permute_35,), kwargs = {})
2025-03-21T20:23:47.0617553Z     %view_35 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_8, [1, 8, 128]), kwargs = {})
2025-03-21T20:23:47.0618439Z     %linear_126 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%view_35, %p_getattr_l__self___encoder_layer___8___attention_output_dense_weight, %p_getattr_l__self___encoder_layer___8___attention_output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0618831Z     %add_126 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_126, %add_123), kwargs = {})
2025-03-21T20:23:47.0619426Z     %mul_68 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_126, %p_getattr_l__self___encoder_layer___8___attention_output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0620077Z     %add_127 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_68, %p_getattr_l__self___encoder_layer___8___attention_output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0621103Z     %linear_127 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_127, %p_getattr_getattr_l__self___encoder_layer___8___ffn___0___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___8___ffn___0___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0621481Z     %relu_32 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_127,), kwargs = {})
2025-03-21T20:23:47.0622408Z     %linear_128 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_32, %p_getattr_getattr_l__self___encoder_layer___8___ffn___0___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___8___ffn___0___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0622804Z     %add_128 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_128, %add_127), kwargs = {})
2025-03-21T20:23:47.0623424Z     %mul_69 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_128, %p_getattr_getattr_l__self___encoder_layer___8___ffn___0___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0624051Z     %add_129 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_69, %p_getattr_getattr_l__self___encoder_layer___8___ffn___0___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0625016Z     %linear_129 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_129, %p_getattr_getattr_l__self___encoder_layer___8___ffn___1___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___8___ffn___1___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0625400Z     %relu_33 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_129,), kwargs = {})
2025-03-21T20:23:47.0626322Z     %linear_130 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_33, %p_getattr_getattr_l__self___encoder_layer___8___ffn___1___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___8___ffn___1___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0626713Z     %add_130 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_130, %add_129), kwargs = {})
2025-03-21T20:23:47.0627335Z     %mul_70 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_130, %p_getattr_getattr_l__self___encoder_layer___8___ffn___1___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0627955Z     %add_131 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_70, %p_getattr_getattr_l__self___encoder_layer___8___ffn___1___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0628927Z     %linear_131 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_131, %p_getattr_getattr_l__self___encoder_layer___8___ffn___2___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___8___ffn___2___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0629303Z     %relu_34 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_131,), kwargs = {})
2025-03-21T20:23:47.0630231Z     %linear_132 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_34, %p_getattr_getattr_l__self___encoder_layer___8___ffn___2___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___8___ffn___2___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0630620Z     %add_132 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_132, %add_131), kwargs = {})
2025-03-21T20:23:47.0631248Z     %mul_71 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_132, %p_getattr_getattr_l__self___encoder_layer___8___ffn___2___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0631910Z     %add_133 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_71, %p_getattr_getattr_l__self___encoder_layer___8___ffn___2___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0632777Z     %linear_133 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_133, %p_getattr_l__self___encoder_layer___8___intermediate_dense_weight, %p_getattr_l__self___encoder_layer___8___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0633308Z     %relu_35 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_133,), kwargs = {})
2025-03-21T20:23:47.0634127Z     %linear_134 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_35, %p_getattr_l__self___encoder_layer___8___output_dense_weight, %p_getattr_l__self___encoder_layer___8___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0634508Z     %add_134 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_134, %add_133), kwargs = {})
2025-03-21T20:23:47.0635076Z     %mul_72 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_134, %p_getattr_l__self___encoder_layer___8___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0635624Z     %add_135 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_72, %p_getattr_l__self___encoder_layer___8___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0636521Z     %linear_135 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_135, %p_getattr_l__self___encoder_layer___8___output_bottleneck_dense_weight, %p_getattr_l__self___encoder_layer___8___output_bottleneck_dense_bias), kwargs = {})
2025-03-21T20:23:47.0636970Z     %dropout_18 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_135, 0.0, False), kwargs = {})
2025-03-21T20:23:47.0637353Z     %add_136 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_18, %add_122), kwargs = {})
2025-03-21T20:23:47.0637961Z     %mul_73 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_136, %p_getattr_l__self___encoder_layer___8___output_bottleneck_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0638552Z     %add_137 : [num_users=4] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_73, %p_getattr_l__self___encoder_layer___8___output_bottleneck_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0639167Z     %lift_fresh_copy_8 : [num_users=1] = call_function[target=torch.ops.aten.lift_fresh_copy.default](args = (%c_getattr_l__self___encoder_layer___8___lifted_tensor_8,), kwargs = {})
2025-03-21T20:23:47.0639578Z     %detach__8 : [num_users=0] = call_function[target=torch.ops.aten.detach_.default](args = (%lift_fresh_copy_8,), kwargs = {})
2025-03-21T20:23:47.0640475Z     %linear_136 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_137, %p_getattr_l__self___encoder_layer___9___bottleneck_input_dense_weight, %p_getattr_l__self___encoder_layer___9___bottleneck_input_dense_bias), kwargs = {})
2025-03-21T20:23:47.0641088Z     %mul_74 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%linear_136, %p_getattr_l__self___encoder_layer___9___bottleneck_input_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0641686Z     %add_138 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_74, %p_getattr_l__self___encoder_layer___9___bottleneck_input_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0642602Z     %linear_137 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_137, %p_getattr_l__self___encoder_layer___9___bottleneck_attention_dense_weight, %p_getattr_l__self___encoder_layer___9___bottleneck_attention_dense_bias), kwargs = {})
2025-03-21T20:23:47.0643241Z     %mul_75 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%linear_137, %p_getattr_l__self___encoder_layer___9___bottleneck_attention_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0643893Z     %add_139 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_75, %p_getattr_l__self___encoder_layer___9___bottleneck_attention_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0644758Z     %linear_138 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_139, %p_getattr_l__self___encoder_layer___9___attention_self_query_weight, %p_getattr_l__self___encoder_layer___9___attention_self_query_bias), kwargs = {})
2025-03-21T20:23:47.0645643Z     %linear_139 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_139, %p_getattr_l__self___encoder_layer___9___attention_self_key_weight, %p_getattr_l__self___encoder_layer___9___attention_self_key_bias), kwargs = {})
2025-03-21T20:23:47.0646515Z     %linear_140 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_137, %p_getattr_l__self___encoder_layer___9___attention_self_value_weight, %p_getattr_l__self___encoder_layer___9___attention_self_value_bias), kwargs = {})
2025-03-21T20:23:47.0646920Z     %view_36 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_138, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0647360Z     %permute_36 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_36, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0647764Z     %view_37 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_139, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0648200Z     %permute_37 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_37, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0648598Z     %view_38 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_140, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0649039Z     %permute_38 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_38, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0649461Z     %transpose_9 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%permute_37, -1, -2), kwargs = {})
2025-03-21T20:23:47.0649904Z     %matmul_18 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%permute_36, %transpose_9), kwargs = {})
2025-03-21T20:23:47.0650293Z     %div_9 : [num_users=1] = call_function[target=torch.ops.aten.div.Tensor](args = (%matmul_18, 5.656854249492381), kwargs = {})
2025-03-21T20:23:47.0650664Z     %add_140 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%div_9, %mul), kwargs = {})
2025-03-21T20:23:47.0651040Z     %softmax_9 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_140, -1), kwargs = {})
2025-03-21T20:23:47.0651473Z     %dropout_19 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%softmax_9, 0.1, False), kwargs = {})
2025-03-21T20:23:47.0651917Z     %matmul_19 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%dropout_19, %permute_38), kwargs = {})
2025-03-21T20:23:47.0652345Z     %permute_39 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%matmul_19, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0652785Z     %contiguous_9 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%permute_39,), kwargs = {})
2025-03-21T20:23:47.0653196Z     %view_39 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_9, [1, 8, 128]), kwargs = {})
2025-03-21T20:23:47.0654095Z     %linear_141 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%view_39, %p_getattr_l__self___encoder_layer___9___attention_output_dense_weight, %p_getattr_l__self___encoder_layer___9___attention_output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0654540Z     %add_141 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_141, %add_138), kwargs = {})
2025-03-21T20:23:47.0655147Z     %mul_76 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_141, %p_getattr_l__self___encoder_layer___9___attention_output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0655734Z     %add_142 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_76, %p_getattr_l__self___encoder_layer___9___attention_output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0656766Z     %linear_142 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_142, %p_getattr_getattr_l__self___encoder_layer___9___ffn___0___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___9___ffn___0___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0657137Z     %relu_36 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_142,), kwargs = {})
2025-03-21T20:23:47.0658074Z     %linear_143 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_36, %p_getattr_getattr_l__self___encoder_layer___9___ffn___0___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___9___ffn___0___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0658457Z     %add_143 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_143, %add_142), kwargs = {})
2025-03-21T20:23:47.0659090Z     %mul_77 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_143, %p_getattr_getattr_l__self___encoder_layer___9___ffn___0___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0659703Z     %add_144 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_77, %p_getattr_getattr_l__self___encoder_layer___9___ffn___0___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0660685Z     %linear_144 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_144, %p_getattr_getattr_l__self___encoder_layer___9___ffn___1___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___9___ffn___1___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0661054Z     %relu_37 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_144,), kwargs = {})
2025-03-21T20:23:47.0661980Z     %linear_145 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_37, %p_getattr_getattr_l__self___encoder_layer___9___ffn___1___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___9___ffn___1___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0662360Z     %add_145 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_145, %add_144), kwargs = {})
2025-03-21T20:23:47.0662985Z     %mul_78 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_145, %p_getattr_getattr_l__self___encoder_layer___9___ffn___1___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0663600Z     %add_146 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_78, %p_getattr_getattr_l__self___encoder_layer___9___ffn___1___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0664576Z     %linear_146 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_146, %p_getattr_getattr_l__self___encoder_layer___9___ffn___2___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___9___ffn___2___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0664944Z     %relu_38 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_146,), kwargs = {})
2025-03-21T20:23:47.0665868Z     %linear_147 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_38, %p_getattr_getattr_l__self___encoder_layer___9___ffn___2___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___9___ffn___2___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0666248Z     %add_147 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_147, %add_146), kwargs = {})
2025-03-21T20:23:47.0666928Z     %mul_79 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_147, %p_getattr_getattr_l__self___encoder_layer___9___ffn___2___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0667536Z     %add_148 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_79, %p_getattr_getattr_l__self___encoder_layer___9___ffn___2___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0668456Z     %linear_148 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_148, %p_getattr_l__self___encoder_layer___9___intermediate_dense_weight, %p_getattr_l__self___encoder_layer___9___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0668824Z     %relu_39 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_148,), kwargs = {})
2025-03-21T20:23:47.0669631Z     %linear_149 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_39, %p_getattr_l__self___encoder_layer___9___output_dense_weight, %p_getattr_l__self___encoder_layer___9___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0670013Z     %add_149 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_149, %add_148), kwargs = {})
2025-03-21T20:23:47.0670583Z     %mul_80 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_149, %p_getattr_l__self___encoder_layer___9___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0671136Z     %add_150 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_80, %p_getattr_l__self___encoder_layer___9___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0672023Z     %linear_150 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_150, %p_getattr_l__self___encoder_layer___9___output_bottleneck_dense_weight, %p_getattr_l__self___encoder_layer___9___output_bottleneck_dense_bias), kwargs = {})
2025-03-21T20:23:47.0672473Z     %dropout_20 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_150, 0.0, False), kwargs = {})
2025-03-21T20:23:47.0672853Z     %add_151 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_20, %add_137), kwargs = {})
2025-03-21T20:23:47.0673548Z     %mul_81 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_151, %p_getattr_l__self___encoder_layer___9___output_bottleneck_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0674137Z     %add_152 : [num_users=4] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_81, %p_getattr_l__self___encoder_layer___9___output_bottleneck_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0674751Z     %lift_fresh_copy_9 : [num_users=1] = call_function[target=torch.ops.aten.lift_fresh_copy.default](args = (%c_getattr_l__self___encoder_layer___9___lifted_tensor_9,), kwargs = {})
2025-03-21T20:23:47.0675169Z     %detach__9 : [num_users=0] = call_function[target=torch.ops.aten.detach_.default](args = (%lift_fresh_copy_9,), kwargs = {})
2025-03-21T20:23:47.0676072Z     %linear_151 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_152, %p_getattr_l__self___encoder_layer___10___bottleneck_input_dense_weight, %p_getattr_l__self___encoder_layer___10___bottleneck_input_dense_bias), kwargs = {})
2025-03-21T20:23:47.0676683Z     %mul_82 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%linear_151, %p_getattr_l__self___encoder_layer___10___bottleneck_input_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0677284Z     %add_153 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_82, %p_getattr_l__self___encoder_layer___10___bottleneck_input_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0678201Z     %linear_152 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_152, %p_getattr_l__self___encoder_layer___10___bottleneck_attention_dense_weight, %p_getattr_l__self___encoder_layer___10___bottleneck_attention_dense_bias), kwargs = {})
2025-03-21T20:23:47.0678899Z     %mul_83 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%linear_152, %p_getattr_l__self___encoder_layer___10___bottleneck_attention_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0679497Z     %add_154 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_83, %p_getattr_l__self___encoder_layer___10___bottleneck_attention_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0680418Z     %linear_153 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_154, %p_getattr_l__self___encoder_layer___10___attention_self_query_weight, %p_getattr_l__self___encoder_layer___10___attention_self_query_bias), kwargs = {})
2025-03-21T20:23:47.0681260Z     %linear_154 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_154, %p_getattr_l__self___encoder_layer___10___attention_self_key_weight, %p_getattr_l__self___encoder_layer___10___attention_self_key_bias), kwargs = {})
2025-03-21T20:23:47.0682138Z     %linear_155 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_152, %p_getattr_l__self___encoder_layer___10___attention_self_value_weight, %p_getattr_l__self___encoder_layer___10___attention_self_value_bias), kwargs = {})
2025-03-21T20:23:47.0682543Z     %view_40 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_153, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0682983Z     %permute_40 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_40, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0683381Z     %view_41 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_154, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0683815Z     %permute_41 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_41, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0684216Z     %view_42 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_155, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0684655Z     %permute_42 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_42, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0685083Z     %transpose_10 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%permute_41, -1, -2), kwargs = {})
2025-03-21T20:23:47.0685529Z     %matmul_20 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%permute_40, %transpose_10), kwargs = {})
2025-03-21T20:23:47.0685920Z     %div_10 : [num_users=1] = call_function[target=torch.ops.aten.div.Tensor](args = (%matmul_20, 5.656854249492381), kwargs = {})
2025-03-21T20:23:47.0686286Z     %add_155 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%div_10, %mul), kwargs = {})
2025-03-21T20:23:47.0686666Z     %softmax_10 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_155, -1), kwargs = {})
2025-03-21T20:23:47.0687098Z     %dropout_21 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%softmax_10, 0.1, False), kwargs = {})
2025-03-21T20:23:47.0687534Z     %matmul_21 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%dropout_21, %permute_42), kwargs = {})
2025-03-21T20:23:47.0687963Z     %permute_43 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%matmul_21, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0688405Z     %contiguous_10 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%permute_43,), kwargs = {})
2025-03-21T20:23:47.0688812Z     %view_43 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_10, [1, 8, 128]), kwargs = {})
2025-03-21T20:23:47.0689712Z     %linear_156 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%view_43, %p_getattr_l__self___encoder_layer___10___attention_output_dense_weight, %p_getattr_l__self___encoder_layer___10___attention_output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0690143Z     %add_156 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_156, %add_153), kwargs = {})
2025-03-21T20:23:47.0690750Z     %mul_84 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_156, %p_getattr_l__self___encoder_layer___10___attention_output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0691384Z     %add_157 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_84, %p_getattr_l__self___encoder_layer___10___attention_output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0692371Z     %linear_157 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_157, %p_getattr_getattr_l__self___encoder_layer___10___ffn___0___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___10___ffn___0___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0692739Z     %relu_40 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_157,), kwargs = {})
2025-03-21T20:23:47.0693671Z     %linear_158 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_40, %p_getattr_getattr_l__self___encoder_layer___10___ffn___0___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___10___ffn___0___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0694050Z     %add_158 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_158, %add_157), kwargs = {})
2025-03-21T20:23:47.0694682Z     %mul_85 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_158, %p_getattr_getattr_l__self___encoder_layer___10___ffn___0___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0695296Z     %add_159 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_85, %p_getattr_getattr_l__self___encoder_layer___10___ffn___0___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0696284Z     %linear_159 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_159, %p_getattr_getattr_l__self___encoder_layer___10___ffn___1___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___10___ffn___1___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0696649Z     %relu_41 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_159,), kwargs = {})
2025-03-21T20:23:47.0697582Z     %linear_160 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_41, %p_getattr_getattr_l__self___encoder_layer___10___ffn___1___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___10___ffn___1___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0697958Z     %add_160 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_160, %add_159), kwargs = {})
2025-03-21T20:23:47.0698593Z     %mul_86 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_160, %p_getattr_getattr_l__self___encoder_layer___10___ffn___1___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0699206Z     %add_161 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_86, %p_getattr_getattr_l__self___encoder_layer___10___ffn___1___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0700187Z     %linear_161 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_161, %p_getattr_getattr_l__self___encoder_layer___10___ffn___2___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___10___ffn___2___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0700553Z     %relu_42 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_161,), kwargs = {})
2025-03-21T20:23:47.0701484Z     %linear_162 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_42, %p_getattr_getattr_l__self___encoder_layer___10___ffn___2___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___10___ffn___2___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0701925Z     %add_162 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_162, %add_161), kwargs = {})
2025-03-21T20:23:47.0702940Z     %mul_87 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_162, %p_getattr_getattr_l__self___encoder_layer___10___ffn___2___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0703691Z     %add_163 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_87, %p_getattr_getattr_l__self___encoder_layer___10___ffn___2___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0704567Z     %linear_163 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_163, %p_getattr_l__self___encoder_layer___10___intermediate_dense_weight, %p_getattr_l__self___encoder_layer___10___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0704939Z     %relu_43 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_163,), kwargs = {})
2025-03-21T20:23:47.0705752Z     %linear_164 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_43, %p_getattr_l__self___encoder_layer___10___output_dense_weight, %p_getattr_l__self___encoder_layer___10___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0706133Z     %add_164 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_164, %add_163), kwargs = {})
2025-03-21T20:23:47.0706713Z     %mul_88 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_164, %p_getattr_l__self___encoder_layer___10___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0707264Z     %add_165 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_88, %p_getattr_l__self___encoder_layer___10___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0708176Z     %linear_165 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_165, %p_getattr_l__self___encoder_layer___10___output_bottleneck_dense_weight, %p_getattr_l__self___encoder_layer___10___output_bottleneck_dense_bias), kwargs = {})
2025-03-21T20:23:47.0708616Z     %dropout_22 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_165, 0.0, False), kwargs = {})
2025-03-21T20:23:47.0709001Z     %add_166 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_22, %add_152), kwargs = {})
2025-03-21T20:23:47.0709612Z     %mul_89 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_166, %p_getattr_l__self___encoder_layer___10___output_bottleneck_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0710201Z     %add_167 : [num_users=4] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_89, %p_getattr_l__self___encoder_layer___10___output_bottleneck_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0710829Z     %lift_fresh_copy_10 : [num_users=1] = call_function[target=torch.ops.aten.lift_fresh_copy.default](args = (%c_getattr_l__self___encoder_layer___10___lifted_tensor_10,), kwargs = {})
2025-03-21T20:23:47.0711245Z     %detach__10 : [num_users=0] = call_function[target=torch.ops.aten.detach_.default](args = (%lift_fresh_copy_10,), kwargs = {})
2025-03-21T20:23:47.0712144Z     %linear_166 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_167, %p_getattr_l__self___encoder_layer___11___bottleneck_input_dense_weight, %p_getattr_l__self___encoder_layer___11___bottleneck_input_dense_bias), kwargs = {})
2025-03-21T20:23:47.0712756Z     %mul_90 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%linear_166, %p_getattr_l__self___encoder_layer___11___bottleneck_input_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0713438Z     %add_168 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_90, %p_getattr_l__self___encoder_layer___11___bottleneck_input_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0714439Z     %linear_167 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_167, %p_getattr_l__self___encoder_layer___11___bottleneck_attention_dense_weight, %p_getattr_l__self___encoder_layer___11___bottleneck_attention_dense_bias), kwargs = {})
2025-03-21T20:23:47.0715079Z     %mul_91 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%linear_167, %p_getattr_l__self___encoder_layer___11___bottleneck_attention_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0715730Z     %add_169 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_91, %p_getattr_l__self___encoder_layer___11___bottleneck_attention_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0716609Z     %linear_168 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_169, %p_getattr_l__self___encoder_layer___11___attention_self_query_weight, %p_getattr_l__self___encoder_layer___11___attention_self_query_bias), kwargs = {})
2025-03-21T20:23:47.0717457Z     %linear_169 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_169, %p_getattr_l__self___encoder_layer___11___attention_self_key_weight, %p_getattr_l__self___encoder_layer___11___attention_self_key_bias), kwargs = {})
2025-03-21T20:23:47.0718333Z     %linear_170 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_167, %p_getattr_l__self___encoder_layer___11___attention_self_value_weight, %p_getattr_l__self___encoder_layer___11___attention_self_value_bias), kwargs = {})
2025-03-21T20:23:47.0718740Z     %view_44 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_168, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0719178Z     %permute_44 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_44, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0719584Z     %view_45 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_169, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0720026Z     %permute_45 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_45, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0720426Z     %view_46 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_170, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0720864Z     %permute_46 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_46, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0721294Z     %transpose_11 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%permute_45, -1, -2), kwargs = {})
2025-03-21T20:23:47.0721740Z     %matmul_22 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%permute_44, %transpose_11), kwargs = {})
2025-03-21T20:23:47.0722130Z     %div_11 : [num_users=1] = call_function[target=torch.ops.aten.div.Tensor](args = (%matmul_22, 5.656854249492381), kwargs = {})
2025-03-21T20:23:47.0722507Z     %add_170 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%div_11, %mul), kwargs = {})
2025-03-21T20:23:47.0722888Z     %softmax_11 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_170, -1), kwargs = {})
2025-03-21T20:23:47.0723336Z     %dropout_23 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%softmax_11, 0.1, False), kwargs = {})
2025-03-21T20:23:47.0723766Z     %matmul_23 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%dropout_23, %permute_46), kwargs = {})
2025-03-21T20:23:47.0724196Z     %permute_47 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%matmul_23, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0724639Z     %contiguous_11 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%permute_47,), kwargs = {})
2025-03-21T20:23:47.0725105Z     %view_47 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_11, [1, 8, 128]), kwargs = {})
2025-03-21T20:23:47.0726015Z     %linear_171 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%view_47, %p_getattr_l__self___encoder_layer___11___attention_output_dense_weight, %p_getattr_l__self___encoder_layer___11___attention_output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0726392Z     %add_171 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_171, %add_168), kwargs = {})
2025-03-21T20:23:47.0727051Z     %mul_92 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_171, %p_getattr_l__self___encoder_layer___11___attention_output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0727632Z     %add_172 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_92, %p_getattr_l__self___encoder_layer___11___attention_output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0728620Z     %linear_172 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_172, %p_getattr_getattr_l__self___encoder_layer___11___ffn___0___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___11___ffn___0___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0728982Z     %relu_44 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_172,), kwargs = {})
2025-03-21T20:23:47.0729914Z     %linear_173 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_44, %p_getattr_getattr_l__self___encoder_layer___11___ffn___0___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___11___ffn___0___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0730294Z     %add_173 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_173, %add_172), kwargs = {})
2025-03-21T20:23:47.0730922Z     %mul_93 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_173, %p_getattr_getattr_l__self___encoder_layer___11___ffn___0___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0731534Z     %add_174 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_93, %p_getattr_getattr_l__self___encoder_layer___11___ffn___0___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0732514Z     %linear_174 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_174, %p_getattr_getattr_l__self___encoder_layer___11___ffn___1___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___11___ffn___1___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0732884Z     %relu_45 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_174,), kwargs = {})
2025-03-21T20:23:47.0733809Z     %linear_175 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_45, %p_getattr_getattr_l__self___encoder_layer___11___ffn___1___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___11___ffn___1___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0734193Z     %add_175 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_175, %add_174), kwargs = {})
2025-03-21T20:23:47.0734818Z     %mul_94 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_175, %p_getattr_getattr_l__self___encoder_layer___11___ffn___1___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0735436Z     %add_176 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_94, %p_getattr_getattr_l__self___encoder_layer___11___ffn___1___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0736416Z     %linear_176 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_176, %p_getattr_getattr_l__self___encoder_layer___11___ffn___2___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___11___ffn___2___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0736841Z     %relu_46 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_176,), kwargs = {})
2025-03-21T20:23:47.0737774Z     %linear_177 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_46, %p_getattr_getattr_l__self___encoder_layer___11___ffn___2___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___11___ffn___2___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0738154Z     %add_177 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_177, %add_176), kwargs = {})
2025-03-21T20:23:47.0738851Z     %mul_95 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_177, %p_getattr_getattr_l__self___encoder_layer___11___ffn___2___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0739466Z     %add_178 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_95, %p_getattr_getattr_l__self___encoder_layer___11___ffn___2___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0740337Z     %linear_178 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_178, %p_getattr_l__self___encoder_layer___11___intermediate_dense_weight, %p_getattr_l__self___encoder_layer___11___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0740702Z     %relu_47 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_178,), kwargs = {})
2025-03-21T20:23:47.0741518Z     %linear_179 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_47, %p_getattr_l__self___encoder_layer___11___output_dense_weight, %p_getattr_l__self___encoder_layer___11___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0741898Z     %add_179 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_179, %add_178), kwargs = {})
2025-03-21T20:23:47.0742469Z     %mul_96 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_179, %p_getattr_l__self___encoder_layer___11___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0743021Z     %add_180 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_96, %p_getattr_l__self___encoder_layer___11___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0743919Z     %linear_180 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_180, %p_getattr_l__self___encoder_layer___11___output_bottleneck_dense_weight, %p_getattr_l__self___encoder_layer___11___output_bottleneck_dense_bias), kwargs = {})
2025-03-21T20:23:47.0744358Z     %dropout_24 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_180, 0.0, False), kwargs = {})
2025-03-21T20:23:47.0744746Z     %add_181 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_24, %add_167), kwargs = {})
2025-03-21T20:23:47.0745339Z     %mul_97 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_181, %p_getattr_l__self___encoder_layer___11___output_bottleneck_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0745945Z     %add_182 : [num_users=4] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_97, %p_getattr_l__self___encoder_layer___11___output_bottleneck_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0746555Z     %lift_fresh_copy_11 : [num_users=1] = call_function[target=torch.ops.aten.lift_fresh_copy.default](args = (%c_getattr_l__self___encoder_layer___11___lifted_tensor_11,), kwargs = {})
2025-03-21T20:23:47.0746967Z     %detach__11 : [num_users=0] = call_function[target=torch.ops.aten.detach_.default](args = (%lift_fresh_copy_11,), kwargs = {})
2025-03-21T20:23:47.0747861Z     %linear_181 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_182, %p_getattr_l__self___encoder_layer___12___bottleneck_input_dense_weight, %p_getattr_l__self___encoder_layer___12___bottleneck_input_dense_bias), kwargs = {})
2025-03-21T20:23:47.0748471Z     %mul_98 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%linear_181, %p_getattr_l__self___encoder_layer___12___bottleneck_input_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0749120Z     %add_183 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_98, %p_getattr_l__self___encoder_layer___12___bottleneck_input_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0750032Z     %linear_182 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_182, %p_getattr_l__self___encoder_layer___12___bottleneck_attention_dense_weight, %p_getattr_l__self___encoder_layer___12___bottleneck_attention_dense_bias), kwargs = {})
2025-03-21T20:23:47.0750720Z     %mul_99 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%linear_182, %p_getattr_l__self___encoder_layer___12___bottleneck_attention_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0751318Z     %add_184 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_99, %p_getattr_l__self___encoder_layer___12___bottleneck_attention_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0752197Z     %linear_183 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_184, %p_getattr_l__self___encoder_layer___12___attention_self_query_weight, %p_getattr_l__self___encoder_layer___12___attention_self_query_bias), kwargs = {})
2025-03-21T20:23:47.0753130Z     %linear_184 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_184, %p_getattr_l__self___encoder_layer___12___attention_self_key_weight, %p_getattr_l__self___encoder_layer___12___attention_self_key_bias), kwargs = {})
2025-03-21T20:23:47.0754008Z     %linear_185 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_182, %p_getattr_l__self___encoder_layer___12___attention_self_value_weight, %p_getattr_l__self___encoder_layer___12___attention_self_value_bias), kwargs = {})
2025-03-21T20:23:47.0754423Z     %view_48 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_183, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0754852Z     %permute_48 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_48, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0755252Z     %view_49 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_184, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0755691Z     %permute_49 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_49, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0756094Z     %view_50 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_185, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0756531Z     %permute_50 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_50, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0756952Z     %transpose_12 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%permute_49, -1, -2), kwargs = {})
2025-03-21T20:23:47.0757398Z     %matmul_24 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%permute_48, %transpose_12), kwargs = {})
2025-03-21T20:23:47.0757786Z     %div_12 : [num_users=1] = call_function[target=torch.ops.aten.div.Tensor](args = (%matmul_24, 5.656854249492381), kwargs = {})
2025-03-21T20:23:47.0758159Z     %add_185 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%div_12, %mul), kwargs = {})
2025-03-21T20:23:47.0758539Z     %softmax_12 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_185, -1), kwargs = {})
2025-03-21T20:23:47.0758986Z     %dropout_25 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%softmax_12, 0.1, False), kwargs = {})
2025-03-21T20:23:47.0759412Z     %matmul_25 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%dropout_25, %permute_50), kwargs = {})
2025-03-21T20:23:47.0759843Z     %permute_51 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%matmul_25, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0760347Z     %contiguous_12 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%permute_51,), kwargs = {})
2025-03-21T20:23:47.0760758Z     %view_51 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_12, [1, 8, 128]), kwargs = {})
2025-03-21T20:23:47.0761709Z     %linear_186 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%view_51, %p_getattr_l__self___encoder_layer___12___attention_output_dense_weight, %p_getattr_l__self___encoder_layer___12___attention_output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0762088Z     %add_186 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_186, %add_183), kwargs = {})
2025-03-21T20:23:47.0762698Z     %mul_100 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_186, %p_getattr_l__self___encoder_layer___12___attention_output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0763289Z     %add_187 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_100, %p_getattr_l__self___encoder_layer___12___attention_output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0764270Z     %linear_187 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_187, %p_getattr_getattr_l__self___encoder_layer___12___ffn___0___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___12___ffn___0___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0764638Z     %relu_48 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_187,), kwargs = {})
2025-03-21T20:23:47.0765574Z     %linear_188 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_48, %p_getattr_getattr_l__self___encoder_layer___12___ffn___0___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___12___ffn___0___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0765960Z     %add_188 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_188, %add_187), kwargs = {})
2025-03-21T20:23:47.0766594Z     %mul_101 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_188, %p_getattr_getattr_l__self___encoder_layer___12___ffn___0___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0767209Z     %add_189 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_101, %p_getattr_getattr_l__self___encoder_layer___12___ffn___0___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0768199Z     %linear_189 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_189, %p_getattr_getattr_l__self___encoder_layer___12___ffn___1___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___12___ffn___1___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0768561Z     %relu_49 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_189,), kwargs = {})
2025-03-21T20:23:47.0769493Z     %linear_190 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_49, %p_getattr_getattr_l__self___encoder_layer___12___ffn___1___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___12___ffn___1___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0769874Z     %add_190 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_190, %add_189), kwargs = {})
2025-03-21T20:23:47.0770515Z     %mul_102 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_190, %p_getattr_getattr_l__self___encoder_layer___12___ffn___1___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0771133Z     %add_191 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_102, %p_getattr_getattr_l__self___encoder_layer___12___ffn___1___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0772118Z     %linear_191 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_191, %p_getattr_getattr_l__self___encoder_layer___12___ffn___2___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___12___ffn___2___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0772534Z     %relu_50 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_191,), kwargs = {})
2025-03-21T20:23:47.0773504Z     %linear_192 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_50, %p_getattr_getattr_l__self___encoder_layer___12___ffn___2___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___12___ffn___2___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0773883Z     %add_192 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_192, %add_191), kwargs = {})
2025-03-21T20:23:47.0774521Z     %mul_103 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_192, %p_getattr_getattr_l__self___encoder_layer___12___ffn___2___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0775142Z     %add_193 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_103, %p_getattr_getattr_l__self___encoder_layer___12___ffn___2___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0776011Z     %linear_193 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_193, %p_getattr_l__self___encoder_layer___12___intermediate_dense_weight, %p_getattr_l__self___encoder_layer___12___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0776377Z     %relu_51 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_193,), kwargs = {})
2025-03-21T20:23:47.0777186Z     %linear_194 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_51, %p_getattr_l__self___encoder_layer___12___output_dense_weight, %p_getattr_l__self___encoder_layer___12___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0777565Z     %add_194 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_194, %add_193), kwargs = {})
2025-03-21T20:23:47.0778143Z     %mul_104 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_194, %p_getattr_l__self___encoder_layer___12___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0778695Z     %add_195 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_104, %p_getattr_l__self___encoder_layer___12___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0779599Z     %linear_195 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_195, %p_getattr_l__self___encoder_layer___12___output_bottleneck_dense_weight, %p_getattr_l__self___encoder_layer___12___output_bottleneck_dense_bias), kwargs = {})
2025-03-21T20:23:47.0780035Z     %dropout_26 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_195, 0.0, False), kwargs = {})
2025-03-21T20:23:47.0780425Z     %add_196 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_26, %add_182), kwargs = {})
2025-03-21T20:23:47.0781029Z     %mul_105 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_196, %p_getattr_l__self___encoder_layer___12___output_bottleneck_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0781630Z     %add_197 : [num_users=4] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_105, %p_getattr_l__self___encoder_layer___12___output_bottleneck_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0782239Z     %lift_fresh_copy_12 : [num_users=1] = call_function[target=torch.ops.aten.lift_fresh_copy.default](args = (%c_getattr_l__self___encoder_layer___12___lifted_tensor_12,), kwargs = {})
2025-03-21T20:23:47.0782665Z     %detach__12 : [num_users=0] = call_function[target=torch.ops.aten.detach_.default](args = (%lift_fresh_copy_12,), kwargs = {})
2025-03-21T20:23:47.0783543Z     %linear_196 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_197, %p_getattr_l__self___encoder_layer___13___bottleneck_input_dense_weight, %p_getattr_l__self___encoder_layer___13___bottleneck_input_dense_bias), kwargs = {})
2025-03-21T20:23:47.0784223Z     %mul_106 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%linear_196, %p_getattr_l__self___encoder_layer___13___bottleneck_input_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0784813Z     %add_198 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_106, %p_getattr_l__self___encoder_layer___13___bottleneck_input_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0785797Z     %linear_197 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_197, %p_getattr_l__self___encoder_layer___13___bottleneck_attention_dense_weight, %p_getattr_l__self___encoder_layer___13___bottleneck_attention_dense_bias), kwargs = {})
2025-03-21T20:23:47.0786429Z     %mul_107 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%linear_197, %p_getattr_l__self___encoder_layer___13___bottleneck_attention_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0787047Z     %add_199 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_107, %p_getattr_l__self___encoder_layer___13___bottleneck_attention_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0787907Z     %linear_198 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_199, %p_getattr_l__self___encoder_layer___13___attention_self_query_weight, %p_getattr_l__self___encoder_layer___13___attention_self_query_bias), kwargs = {})
2025-03-21T20:23:47.0788770Z     %linear_199 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_199, %p_getattr_l__self___encoder_layer___13___attention_self_key_weight, %p_getattr_l__self___encoder_layer___13___attention_self_key_bias), kwargs = {})
2025-03-21T20:23:47.0789624Z     %linear_200 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_197, %p_getattr_l__self___encoder_layer___13___attention_self_value_weight, %p_getattr_l__self___encoder_layer___13___attention_self_value_bias), kwargs = {})
2025-03-21T20:23:47.0790041Z     %view_52 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_198, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0790464Z     %permute_52 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_52, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0790864Z     %view_53 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_199, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0791306Z     %permute_53 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_53, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0791705Z     %view_54 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_200, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0792141Z     %permute_54 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_54, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0792562Z     %transpose_13 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%permute_53, -1, -2), kwargs = {})
2025-03-21T20:23:47.0793093Z     %matmul_26 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%permute_52, %transpose_13), kwargs = {})
2025-03-21T20:23:47.0793486Z     %div_13 : [num_users=1] = call_function[target=torch.ops.aten.div.Tensor](args = (%matmul_26, 5.656854249492381), kwargs = {})
2025-03-21T20:23:47.0793864Z     %add_200 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%div_13, %mul), kwargs = {})
2025-03-21T20:23:47.0794241Z     %softmax_13 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_200, -1), kwargs = {})
2025-03-21T20:23:47.0794687Z     %dropout_27 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%softmax_13, 0.1, False), kwargs = {})
2025-03-21T20:23:47.0795203Z     %matmul_27 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%dropout_27, %permute_54), kwargs = {})
2025-03-21T20:23:47.0795644Z     %permute_55 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%matmul_27, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0796076Z     %contiguous_13 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%permute_55,), kwargs = {})
2025-03-21T20:23:47.0796482Z     %view_55 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_13, [1, 8, 128]), kwargs = {})
2025-03-21T20:23:47.0797426Z     %linear_201 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%view_55, %p_getattr_l__self___encoder_layer___13___attention_output_dense_weight, %p_getattr_l__self___encoder_layer___13___attention_output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0797804Z     %add_201 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_201, %add_198), kwargs = {})
2025-03-21T20:23:47.0798418Z     %mul_108 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_201, %p_getattr_l__self___encoder_layer___13___attention_output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0799008Z     %add_202 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_108, %p_getattr_l__self___encoder_layer___13___attention_output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0799992Z     %linear_202 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_202, %p_getattr_getattr_l__self___encoder_layer___13___ffn___0___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___13___ffn___0___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0800354Z     %relu_52 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_202,), kwargs = {})
2025-03-21T20:23:47.0801305Z     %linear_203 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_52, %p_getattr_getattr_l__self___encoder_layer___13___ffn___0___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___13___ffn___0___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0801690Z     %add_203 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_203, %add_202), kwargs = {})
2025-03-21T20:23:47.0802758Z     %mul_109 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_203, %p_getattr_getattr_l__self___encoder_layer___13___ffn___0___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0803385Z     %add_204 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_109, %p_getattr_getattr_l__self___encoder_layer___13___ffn___0___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0804379Z     %linear_204 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_204, %p_getattr_getattr_l__self___encoder_layer___13___ffn___1___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___13___ffn___1___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0804755Z     %relu_53 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_204,), kwargs = {})
2025-03-21T20:23:47.0805690Z     %linear_205 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_53, %p_getattr_getattr_l__self___encoder_layer___13___ffn___1___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___13___ffn___1___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0806081Z     %add_205 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_205, %add_204), kwargs = {})
2025-03-21T20:23:47.0806722Z     %mul_110 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_205, %p_getattr_getattr_l__self___encoder_layer___13___ffn___1___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0807466Z     %add_206 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_110, %p_getattr_getattr_l__self___encoder_layer___13___ffn___1___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0808457Z     %linear_206 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_206, %p_getattr_getattr_l__self___encoder_layer___13___ffn___2___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___13___ffn___2___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0808827Z     %relu_54 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_206,), kwargs = {})
2025-03-21T20:23:47.0809828Z     %linear_207 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_54, %p_getattr_getattr_l__self___encoder_layer___13___ffn___2___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___13___ffn___2___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0810209Z     %add_207 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_207, %add_206), kwargs = {})
2025-03-21T20:23:47.0810849Z     %mul_111 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_207, %p_getattr_getattr_l__self___encoder_layer___13___ffn___2___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0811469Z     %add_208 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_111, %p_getattr_getattr_l__self___encoder_layer___13___ffn___2___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0812342Z     %linear_208 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_208, %p_getattr_l__self___encoder_layer___13___intermediate_dense_weight, %p_getattr_l__self___encoder_layer___13___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0812707Z     %relu_55 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_208,), kwargs = {})
2025-03-21T20:23:47.0813521Z     %linear_209 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_55, %p_getattr_l__self___encoder_layer___13___output_dense_weight, %p_getattr_l__self___encoder_layer___13___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0813904Z     %add_209 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_209, %add_208), kwargs = {})
2025-03-21T20:23:47.0814479Z     %mul_112 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_209, %p_getattr_l__self___encoder_layer___13___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0815041Z     %add_210 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_112, %p_getattr_l__self___encoder_layer___13___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0815948Z     %linear_210 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_210, %p_getattr_l__self___encoder_layer___13___output_bottleneck_dense_weight, %p_getattr_l__self___encoder_layer___13___output_bottleneck_dense_bias), kwargs = {})
2025-03-21T20:23:47.0816392Z     %dropout_28 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_210, 0.0, False), kwargs = {})
2025-03-21T20:23:47.0816781Z     %add_211 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_28, %add_197), kwargs = {})
2025-03-21T20:23:47.0817397Z     %mul_113 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_211, %p_getattr_l__self___encoder_layer___13___output_bottleneck_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0817993Z     %add_212 : [num_users=4] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_113, %p_getattr_l__self___encoder_layer___13___output_bottleneck_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0818618Z     %lift_fresh_copy_13 : [num_users=1] = call_function[target=torch.ops.aten.lift_fresh_copy.default](args = (%c_getattr_l__self___encoder_layer___13___lifted_tensor_13,), kwargs = {})
2025-03-21T20:23:47.0819084Z     %detach__13 : [num_users=0] = call_function[target=torch.ops.aten.detach_.default](args = (%lift_fresh_copy_13,), kwargs = {})
2025-03-21T20:23:47.0819979Z     %linear_211 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_212, %p_getattr_l__self___encoder_layer___14___bottleneck_input_dense_weight, %p_getattr_l__self___encoder_layer___14___bottleneck_input_dense_bias), kwargs = {})
2025-03-21T20:23:47.0820594Z     %mul_114 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%linear_211, %p_getattr_l__self___encoder_layer___14___bottleneck_input_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0821256Z     %add_213 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_114, %p_getattr_l__self___encoder_layer___14___bottleneck_input_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0822174Z     %linear_212 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_212, %p_getattr_l__self___encoder_layer___14___bottleneck_attention_dense_weight, %p_getattr_l__self___encoder_layer___14___bottleneck_attention_dense_bias), kwargs = {})
2025-03-21T20:23:47.0822823Z     %mul_115 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%linear_212, %p_getattr_l__self___encoder_layer___14___bottleneck_attention_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0823427Z     %add_214 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_115, %p_getattr_l__self___encoder_layer___14___bottleneck_attention_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0824307Z     %linear_213 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_214, %p_getattr_l__self___encoder_layer___14___attention_self_query_weight, %p_getattr_l__self___encoder_layer___14___attention_self_query_bias), kwargs = {})
2025-03-21T20:23:47.0825149Z     %linear_214 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_214, %p_getattr_l__self___encoder_layer___14___attention_self_key_weight, %p_getattr_l__self___encoder_layer___14___attention_self_key_bias), kwargs = {})
2025-03-21T20:23:47.0826024Z     %linear_215 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_212, %p_getattr_l__self___encoder_layer___14___attention_self_value_weight, %p_getattr_l__self___encoder_layer___14___attention_self_value_bias), kwargs = {})
2025-03-21T20:23:47.0826434Z     %view_56 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_213, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0826879Z     %permute_56 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_56, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0827281Z     %view_57 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_214, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0827716Z     %permute_57 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_57, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0828117Z     %view_58 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_215, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0828556Z     %permute_58 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_58, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0828978Z     %transpose_14 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%permute_57, -1, -2), kwargs = {})
2025-03-21T20:23:47.0829430Z     %matmul_28 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%permute_56, %transpose_14), kwargs = {})
2025-03-21T20:23:47.0829820Z     %div_14 : [num_users=1] = call_function[target=torch.ops.aten.div.Tensor](args = (%matmul_28, 5.656854249492381), kwargs = {})
2025-03-21T20:23:47.0830190Z     %add_215 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%div_14, %mul), kwargs = {})
2025-03-21T20:23:47.0830630Z     %softmax_14 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_215, -1), kwargs = {})
2025-03-21T20:23:47.0831075Z     %dropout_29 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%softmax_14, 0.1, False), kwargs = {})
2025-03-21T20:23:47.0831504Z     %matmul_29 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%dropout_29, %permute_58), kwargs = {})
2025-03-21T20:23:47.0831937Z     %permute_59 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%matmul_29, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0832426Z     %contiguous_14 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%permute_59,), kwargs = {})
2025-03-21T20:23:47.0832833Z     %view_59 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_14, [1, 8, 128]), kwargs = {})
2025-03-21T20:23:47.0833821Z     %linear_216 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%view_59, %p_getattr_l__self___encoder_layer___14___attention_output_dense_weight, %p_getattr_l__self___encoder_layer___14___attention_output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0834206Z     %add_216 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_216, %add_213), kwargs = {})
2025-03-21T20:23:47.0834824Z     %mul_116 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_216, %p_getattr_l__self___encoder_layer___14___attention_output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0835416Z     %add_217 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_116, %p_getattr_l__self___encoder_layer___14___attention_output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0836398Z     %linear_217 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_217, %p_getattr_getattr_l__self___encoder_layer___14___ffn___0___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___14___ffn___0___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0836767Z     %relu_56 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_217,), kwargs = {})
2025-03-21T20:23:47.0837700Z     %linear_218 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_56, %p_getattr_getattr_l__self___encoder_layer___14___ffn___0___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___14___ffn___0___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0838085Z     %add_218 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_218, %add_217), kwargs = {})
2025-03-21T20:23:47.0838718Z     %mul_117 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_218, %p_getattr_getattr_l__self___encoder_layer___14___ffn___0___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0839334Z     %add_219 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_117, %p_getattr_getattr_l__self___encoder_layer___14___ffn___0___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0840315Z     %linear_219 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_219, %p_getattr_getattr_l__self___encoder_layer___14___ffn___1___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___14___ffn___1___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0840679Z     %relu_57 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_219,), kwargs = {})
2025-03-21T20:23:47.0841615Z     %linear_220 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_57, %p_getattr_getattr_l__self___encoder_layer___14___ffn___1___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___14___ffn___1___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0841996Z     %add_220 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_220, %add_219), kwargs = {})
2025-03-21T20:23:47.0842687Z     %mul_118 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_220, %p_getattr_getattr_l__self___encoder_layer___14___ffn___1___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0843301Z     %add_221 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_118, %p_getattr_getattr_l__self___encoder_layer___14___ffn___1___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0844327Z     %linear_221 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_221, %p_getattr_getattr_l__self___encoder_layer___14___ffn___2___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___14___ffn___2___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0844692Z     %relu_58 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_221,), kwargs = {})
2025-03-21T20:23:47.0845619Z     %linear_222 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_58, %p_getattr_getattr_l__self___encoder_layer___14___ffn___2___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___14___ffn___2___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0846001Z     %add_222 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_222, %add_221), kwargs = {})
2025-03-21T20:23:47.0846634Z     %mul_119 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_222, %p_getattr_getattr_l__self___encoder_layer___14___ffn___2___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0847249Z     %add_223 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_119, %p_getattr_getattr_l__self___encoder_layer___14___ffn___2___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0848113Z     %linear_223 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_223, %p_getattr_l__self___encoder_layer___14___intermediate_dense_weight, %p_getattr_l__self___encoder_layer___14___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0848482Z     %relu_59 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_223,), kwargs = {})
2025-03-21T20:23:47.0849290Z     %linear_224 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_59, %p_getattr_l__self___encoder_layer___14___output_dense_weight, %p_getattr_l__self___encoder_layer___14___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0849668Z     %add_224 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_224, %add_223), kwargs = {})
2025-03-21T20:23:47.0850248Z     %mul_120 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_224, %p_getattr_l__self___encoder_layer___14___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0850805Z     %add_225 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_120, %p_getattr_l__self___encoder_layer___14___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0851713Z     %linear_225 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_225, %p_getattr_l__self___encoder_layer___14___output_bottleneck_dense_weight, %p_getattr_l__self___encoder_layer___14___output_bottleneck_dense_bias), kwargs = {})
2025-03-21T20:23:47.0852153Z     %dropout_30 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_225, 0.0, False), kwargs = {})
2025-03-21T20:23:47.0852543Z     %add_226 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_30, %add_212), kwargs = {})
2025-03-21T20:23:47.0853150Z     %mul_121 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_226, %p_getattr_l__self___encoder_layer___14___output_bottleneck_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0853756Z     %add_227 : [num_users=4] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_121, %p_getattr_l__self___encoder_layer___14___output_bottleneck_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0854416Z     %lift_fresh_copy_14 : [num_users=1] = call_function[target=torch.ops.aten.lift_fresh_copy.default](args = (%c_getattr_l__self___encoder_layer___14___lifted_tensor_14,), kwargs = {})
2025-03-21T20:23:47.0854832Z     %detach__14 : [num_users=0] = call_function[target=torch.ops.aten.detach_.default](args = (%lift_fresh_copy_14,), kwargs = {})
2025-03-21T20:23:47.0855802Z     %linear_226 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_227, %p_getattr_l__self___encoder_layer___15___bottleneck_input_dense_weight, %p_getattr_l__self___encoder_layer___15___bottleneck_input_dense_bias), kwargs = {})
2025-03-21T20:23:47.0856420Z     %mul_122 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%linear_226, %p_getattr_l__self___encoder_layer___15___bottleneck_input_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0857022Z     %add_228 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_122, %p_getattr_l__self___encoder_layer___15___bottleneck_input_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0857942Z     %linear_227 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_227, %p_getattr_l__self___encoder_layer___15___bottleneck_attention_dense_weight, %p_getattr_l__self___encoder_layer___15___bottleneck_attention_dense_bias), kwargs = {})
2025-03-21T20:23:47.0858585Z     %mul_123 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%linear_227, %p_getattr_l__self___encoder_layer___15___bottleneck_attention_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0859189Z     %add_229 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_123, %p_getattr_l__self___encoder_layer___15___bottleneck_attention_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0860064Z     %linear_228 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_229, %p_getattr_l__self___encoder_layer___15___attention_self_query_weight, %p_getattr_l__self___encoder_layer___15___attention_self_query_bias), kwargs = {})
2025-03-21T20:23:47.0860933Z     %linear_229 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_229, %p_getattr_l__self___encoder_layer___15___attention_self_key_weight, %p_getattr_l__self___encoder_layer___15___attention_self_key_bias), kwargs = {})
2025-03-21T20:23:47.0861800Z     %linear_230 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_227, %p_getattr_l__self___encoder_layer___15___attention_self_value_weight, %p_getattr_l__self___encoder_layer___15___attention_self_value_bias), kwargs = {})
2025-03-21T20:23:47.0862222Z     %view_60 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_228, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0862652Z     %permute_60 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_60, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0863056Z     %view_61 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_229, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0863491Z     %permute_61 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_61, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0863890Z     %view_62 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_230, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0864324Z     %permute_62 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_62, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0864753Z     %transpose_15 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%permute_61, -1, -2), kwargs = {})
2025-03-21T20:23:47.0865195Z     %matmul_30 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%permute_60, %transpose_15), kwargs = {})
2025-03-21T20:23:47.0865586Z     %div_15 : [num_users=1] = call_function[target=torch.ops.aten.div.Tensor](args = (%matmul_30, 5.656854249492381), kwargs = {})
2025-03-21T20:23:47.0866007Z     %add_230 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%div_15, %mul), kwargs = {})
2025-03-21T20:23:47.0866384Z     %softmax_15 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_230, -1), kwargs = {})
2025-03-21T20:23:47.0866830Z     %dropout_31 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%softmax_15, 0.1, False), kwargs = {})
2025-03-21T20:23:47.0867303Z     %matmul_31 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%dropout_31, %permute_62), kwargs = {})
2025-03-21T20:23:47.0867732Z     %permute_63 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%matmul_31, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0868173Z     %contiguous_15 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%permute_63,), kwargs = {})
2025-03-21T20:23:47.0868586Z     %view_63 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_15, [1, 8, 128]), kwargs = {})
2025-03-21T20:23:47.0869481Z     %linear_231 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%view_63, %p_getattr_l__self___encoder_layer___15___attention_output_dense_weight, %p_getattr_l__self___encoder_layer___15___attention_output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0869860Z     %add_231 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_231, %add_228), kwargs = {})
2025-03-21T20:23:47.0870478Z     %mul_124 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_231, %p_getattr_l__self___encoder_layer___15___attention_output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0871070Z     %add_232 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_124, %p_getattr_l__self___encoder_layer___15___attention_output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0872060Z     %linear_232 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_232, %p_getattr_getattr_l__self___encoder_layer___15___ffn___0___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___15___ffn___0___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0872425Z     %relu_60 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_232,), kwargs = {})
2025-03-21T20:23:47.0873456Z     %linear_233 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_60, %p_getattr_getattr_l__self___encoder_layer___15___ffn___0___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___15___ffn___0___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0873840Z     %add_233 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_233, %add_232), kwargs = {})
2025-03-21T20:23:47.0874479Z     %mul_125 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_233, %p_getattr_getattr_l__self___encoder_layer___15___ffn___0___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0875100Z     %add_234 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_125, %p_getattr_getattr_l__self___encoder_layer___15___ffn___0___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0876090Z     %linear_234 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_234, %p_getattr_getattr_l__self___encoder_layer___15___ffn___1___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___15___ffn___1___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0876451Z     %relu_61 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_234,), kwargs = {})
2025-03-21T20:23:47.0877387Z     %linear_235 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_61, %p_getattr_getattr_l__self___encoder_layer___15___ffn___1___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___15___ffn___1___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0877832Z     %add_235 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_235, %add_234), kwargs = {})
2025-03-21T20:23:47.0878465Z     %mul_126 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_235, %p_getattr_getattr_l__self___encoder_layer___15___ffn___1___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0879123Z     %add_236 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_126, %p_getattr_getattr_l__self___encoder_layer___15___ffn___1___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0880106Z     %linear_236 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_236, %p_getattr_getattr_l__self___encoder_layer___15___ffn___2___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___15___ffn___2___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0880477Z     %relu_62 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_236,), kwargs = {})
2025-03-21T20:23:47.0881403Z     %linear_237 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_62, %p_getattr_getattr_l__self___encoder_layer___15___ffn___2___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___15___ffn___2___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0881781Z     %add_237 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_237, %add_236), kwargs = {})
2025-03-21T20:23:47.0882417Z     %mul_127 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_237, %p_getattr_getattr_l__self___encoder_layer___15___ffn___2___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0883031Z     %add_238 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_127, %p_getattr_getattr_l__self___encoder_layer___15___ffn___2___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0883900Z     %linear_238 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_238, %p_getattr_l__self___encoder_layer___15___intermediate_dense_weight, %p_getattr_l__self___encoder_layer___15___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0884263Z     %relu_63 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_238,), kwargs = {})
2025-03-21T20:23:47.0885077Z     %linear_239 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_63, %p_getattr_l__self___encoder_layer___15___output_dense_weight, %p_getattr_l__self___encoder_layer___15___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0885459Z     %add_239 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_239, %add_238), kwargs = {})
2025-03-21T20:23:47.0886031Z     %mul_128 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_239, %p_getattr_l__self___encoder_layer___15___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0886588Z     %add_240 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_128, %p_getattr_l__self___encoder_layer___15___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0887494Z     %linear_240 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_240, %p_getattr_l__self___encoder_layer___15___output_bottleneck_dense_weight, %p_getattr_l__self___encoder_layer___15___output_bottleneck_dense_bias), kwargs = {})
2025-03-21T20:23:47.0887935Z     %dropout_32 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_240, 0.0, False), kwargs = {})
2025-03-21T20:23:47.0888327Z     %add_241 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_32, %add_227), kwargs = {})
2025-03-21T20:23:47.0888926Z     %mul_129 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_241, %p_getattr_l__self___encoder_layer___15___output_bottleneck_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0889585Z     %add_242 : [num_users=4] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_129, %p_getattr_l__self___encoder_layer___15___output_bottleneck_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0890197Z     %lift_fresh_copy_15 : [num_users=1] = call_function[target=torch.ops.aten.lift_fresh_copy.default](args = (%c_getattr_l__self___encoder_layer___15___lifted_tensor_15,), kwargs = {})
2025-03-21T20:23:47.0890675Z     %detach__15 : [num_users=0] = call_function[target=torch.ops.aten.detach_.default](args = (%lift_fresh_copy_15,), kwargs = {})
2025-03-21T20:23:47.0891563Z     %linear_241 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_242, %p_getattr_l__self___encoder_layer___16___bottleneck_input_dense_weight, %p_getattr_l__self___encoder_layer___16___bottleneck_input_dense_bias), kwargs = {})
2025-03-21T20:23:47.0892198Z     %mul_130 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%linear_241, %p_getattr_l__self___encoder_layer___16___bottleneck_input_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0892795Z     %add_243 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_130, %p_getattr_l__self___encoder_layer___16___bottleneck_input_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0893727Z     %linear_242 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_242, %p_getattr_l__self___encoder_layer___16___bottleneck_attention_dense_weight, %p_getattr_l__self___encoder_layer___16___bottleneck_attention_dense_bias), kwargs = {})
2025-03-21T20:23:47.0894361Z     %mul_131 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%linear_242, %p_getattr_l__self___encoder_layer___16___bottleneck_attention_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0894974Z     %add_244 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_131, %p_getattr_l__self___encoder_layer___16___bottleneck_attention_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0895840Z     %linear_243 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_244, %p_getattr_l__self___encoder_layer___16___attention_self_query_weight, %p_getattr_l__self___encoder_layer___16___attention_self_query_bias), kwargs = {})
2025-03-21T20:23:47.0896694Z     %linear_244 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_244, %p_getattr_l__self___encoder_layer___16___attention_self_key_weight, %p_getattr_l__self___encoder_layer___16___attention_self_key_bias), kwargs = {})
2025-03-21T20:23:47.0897557Z     %linear_245 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_242, %p_getattr_l__self___encoder_layer___16___attention_self_value_weight, %p_getattr_l__self___encoder_layer___16___attention_self_value_bias), kwargs = {})
2025-03-21T20:23:47.0897972Z     %view_64 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_243, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0898402Z     %permute_64 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_64, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0898816Z     %view_65 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_244, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0899238Z     %permute_65 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_65, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0899640Z     %view_66 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_245, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0900077Z     %permute_66 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_66, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0900501Z     %transpose_16 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%permute_65, -1, -2), kwargs = {})
2025-03-21T20:23:47.0901000Z     %matmul_32 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%permute_64, %transpose_16), kwargs = {})
2025-03-21T20:23:47.0901391Z     %div_16 : [num_users=1] = call_function[target=torch.ops.aten.div.Tensor](args = (%matmul_32, 5.656854249492381), kwargs = {})
2025-03-21T20:23:47.0901759Z     %add_245 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%div_16, %mul), kwargs = {})
2025-03-21T20:23:47.0902360Z     %softmax_16 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_245, -1), kwargs = {})
2025-03-21T20:23:47.0902919Z     %dropout_33 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%softmax_16, 0.1, False), kwargs = {})
2025-03-21T20:23:47.0903348Z     %matmul_33 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%dropout_33, %permute_66), kwargs = {})
2025-03-21T20:23:47.0903797Z     %permute_67 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%matmul_33, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0904238Z     %contiguous_16 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%permute_67,), kwargs = {})
2025-03-21T20:23:47.0904647Z     %view_67 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_16, [1, 8, 128]), kwargs = {})
2025-03-21T20:23:47.0905550Z     %linear_246 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%view_67, %p_getattr_l__self___encoder_layer___16___attention_output_dense_weight, %p_getattr_l__self___encoder_layer___16___attention_output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0905934Z     %add_246 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_246, %add_243), kwargs = {})
2025-03-21T20:23:47.0906556Z     %mul_132 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_246, %p_getattr_l__self___encoder_layer___16___attention_output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0907154Z     %add_247 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_132, %p_getattr_l__self___encoder_layer___16___attention_output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0908147Z     %linear_247 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_247, %p_getattr_getattr_l__self___encoder_layer___16___ffn___0___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___16___ffn___0___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0908521Z     %relu_64 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_247,), kwargs = {})
2025-03-21T20:23:47.0909460Z     %linear_248 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_64, %p_getattr_getattr_l__self___encoder_layer___16___ffn___0___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___16___ffn___0___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0909850Z     %add_248 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_248, %add_247), kwargs = {})
2025-03-21T20:23:47.0910485Z     %mul_133 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_248, %p_getattr_getattr_l__self___encoder_layer___16___ffn___0___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0911101Z     %add_249 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_133, %p_getattr_getattr_l__self___encoder_layer___16___ffn___0___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0912091Z     %linear_249 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_249, %p_getattr_getattr_l__self___encoder_layer___16___ffn___1___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___16___ffn___1___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0912461Z     %relu_65 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_249,), kwargs = {})
2025-03-21T20:23:47.0913558Z     %linear_250 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_65, %p_getattr_getattr_l__self___encoder_layer___16___ffn___1___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___16___ffn___1___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0913938Z     %add_250 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_250, %add_249), kwargs = {})
2025-03-21T20:23:47.0914640Z     %mul_134 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_250, %p_getattr_getattr_l__self___encoder_layer___16___ffn___1___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0915257Z     %add_251 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_134, %p_getattr_getattr_l__self___encoder_layer___16___ffn___1___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0916243Z     %linear_251 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_251, %p_getattr_getattr_l__self___encoder_layer___16___ffn___2___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___16___ffn___2___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0916611Z     %relu_66 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_251,), kwargs = {})
2025-03-21T20:23:47.0917553Z     %linear_252 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_66, %p_getattr_getattr_l__self___encoder_layer___16___ffn___2___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___16___ffn___2___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0917932Z     %add_252 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_252, %add_251), kwargs = {})
2025-03-21T20:23:47.0918579Z     %mul_135 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_252, %p_getattr_getattr_l__self___encoder_layer___16___ffn___2___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0919200Z     %add_253 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_135, %p_getattr_getattr_l__self___encoder_layer___16___ffn___2___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0920072Z     %linear_253 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_253, %p_getattr_l__self___encoder_layer___16___intermediate_dense_weight, %p_getattr_l__self___encoder_layer___16___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0920437Z     %relu_67 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_253,), kwargs = {})
2025-03-21T20:23:47.0921253Z     %linear_254 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_67, %p_getattr_l__self___encoder_layer___16___output_dense_weight, %p_getattr_l__self___encoder_layer___16___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0921636Z     %add_254 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_254, %add_253), kwargs = {})
2025-03-21T20:23:47.0922216Z     %mul_136 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_254, %p_getattr_l__self___encoder_layer___16___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0922774Z     %add_255 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_136, %p_getattr_l__self___encoder_layer___16___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0923680Z     %linear_255 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_255, %p_getattr_l__self___encoder_layer___16___output_bottleneck_dense_weight, %p_getattr_l__self___encoder_layer___16___output_bottleneck_dense_bias), kwargs = {})
2025-03-21T20:23:47.0924118Z     %dropout_34 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_255, 0.0, False), kwargs = {})
2025-03-21T20:23:47.0924562Z     %add_256 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_34, %add_242), kwargs = {})
2025-03-21T20:23:47.0925157Z     %mul_137 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_256, %p_getattr_l__self___encoder_layer___16___output_bottleneck_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0925765Z     %add_257 : [num_users=4] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_137, %p_getattr_l__self___encoder_layer___16___output_bottleneck_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0926423Z     %lift_fresh_copy_16 : [num_users=1] = call_function[target=torch.ops.aten.lift_fresh_copy.default](args = (%c_getattr_l__self___encoder_layer___16___lifted_tensor_16,), kwargs = {})
2025-03-21T20:23:47.0926847Z     %detach__16 : [num_users=0] = call_function[target=torch.ops.aten.detach_.default](args = (%lift_fresh_copy_16,), kwargs = {})
2025-03-21T20:23:47.0927728Z     %linear_256 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_257, %p_getattr_l__self___encoder_layer___17___bottleneck_input_dense_weight, %p_getattr_l__self___encoder_layer___17___bottleneck_input_dense_bias), kwargs = {})
2025-03-21T20:23:47.0928361Z     %mul_138 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%linear_256, %p_getattr_l__self___encoder_layer___17___bottleneck_input_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0928948Z     %add_258 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_138, %p_getattr_l__self___encoder_layer___17___bottleneck_input_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0929880Z     %linear_257 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_257, %p_getattr_l__self___encoder_layer___17___bottleneck_attention_dense_weight, %p_getattr_l__self___encoder_layer___17___bottleneck_attention_dense_bias), kwargs = {})
2025-03-21T20:23:47.0930509Z     %mul_139 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%linear_257, %p_getattr_l__self___encoder_layer___17___bottleneck_attention_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0931134Z     %add_259 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_139, %p_getattr_l__self___encoder_layer___17___bottleneck_attention_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0931992Z     %linear_258 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_259, %p_getattr_l__self___encoder_layer___17___attention_self_query_weight, %p_getattr_l__self___encoder_layer___17___attention_self_query_bias), kwargs = {})
2025-03-21T20:23:47.0932844Z     %linear_259 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_259, %p_getattr_l__self___encoder_layer___17___attention_self_key_weight, %p_getattr_l__self___encoder_layer___17___attention_self_key_bias), kwargs = {})
2025-03-21T20:23:47.0933705Z     %linear_260 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_257, %p_getattr_l__self___encoder_layer___17___attention_self_value_weight, %p_getattr_l__self___encoder_layer___17___attention_self_value_bias), kwargs = {})
2025-03-21T20:23:47.0934121Z     %view_68 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_258, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0934544Z     %permute_68 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_68, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0934957Z     %view_69 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_259, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0935381Z     %permute_69 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_69, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0935780Z     %view_70 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_260, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0936269Z     %permute_70 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_70, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0936690Z     %transpose_17 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%permute_69, -1, -2), kwargs = {})
2025-03-21T20:23:47.0937133Z     %matmul_34 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%permute_68, %transpose_17), kwargs = {})
2025-03-21T20:23:47.0937524Z     %div_17 : [num_users=1] = call_function[target=torch.ops.aten.div.Tensor](args = (%matmul_34, 5.656854249492381), kwargs = {})
2025-03-21T20:23:47.0937941Z     %add_260 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%div_17, %mul), kwargs = {})
2025-03-21T20:23:47.0938321Z     %softmax_17 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_260, -1), kwargs = {})
2025-03-21T20:23:47.0938769Z     %dropout_35 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%softmax_17, 0.1, False), kwargs = {})
2025-03-21T20:23:47.0939200Z     %matmul_35 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%dropout_35, %permute_70), kwargs = {})
2025-03-21T20:23:47.0939642Z     %permute_71 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%matmul_35, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0940073Z     %contiguous_17 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%permute_71,), kwargs = {})
2025-03-21T20:23:47.0940496Z     %view_71 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_17, [1, 8, 128]), kwargs = {})
2025-03-21T20:23:47.0941380Z     %linear_261 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%view_71, %p_getattr_l__self___encoder_layer___17___attention_output_dense_weight, %p_getattr_l__self___encoder_layer___17___attention_output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0941778Z     %add_261 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_261, %add_258), kwargs = {})
2025-03-21T20:23:47.0942378Z     %mul_140 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_261, %p_getattr_l__self___encoder_layer___17___attention_output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0942965Z     %add_262 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_140, %p_getattr_l__self___encoder_layer___17___attention_output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0943959Z     %linear_262 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_262, %p_getattr_getattr_l__self___encoder_layer___17___ffn___0___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___17___ffn___0___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0944328Z     %relu_68 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_262,), kwargs = {})
2025-03-21T20:23:47.0945266Z     %linear_263 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_68, %p_getattr_getattr_l__self___encoder_layer___17___ffn___0___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___17___ffn___0___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0945642Z     %add_263 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_263, %add_262), kwargs = {})
2025-03-21T20:23:47.0946278Z     %mul_141 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_263, %p_getattr_getattr_l__self___encoder_layer___17___ffn___0___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0946896Z     %add_264 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_141, %p_getattr_getattr_l__self___encoder_layer___17___ffn___0___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0947874Z     %linear_264 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_264, %p_getattr_getattr_l__self___encoder_layer___17___ffn___1___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___17___ffn___1___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0948303Z     %relu_69 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_264,), kwargs = {})
2025-03-21T20:23:47.0949232Z     %linear_265 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_69, %p_getattr_getattr_l__self___encoder_layer___17___ffn___1___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___17___ffn___1___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0949655Z     %add_265 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_265, %add_264), kwargs = {})
2025-03-21T20:23:47.0950289Z     %mul_142 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_265, %p_getattr_getattr_l__self___encoder_layer___17___ffn___1___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0950914Z     %add_266 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_142, %p_getattr_getattr_l__self___encoder_layer___17___ffn___1___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0951892Z     %linear_266 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_266, %p_getattr_getattr_l__self___encoder_layer___17___ffn___2___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___17___ffn___2___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0952258Z     %relu_70 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_266,), kwargs = {})
2025-03-21T20:23:47.0953277Z     %linear_267 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_70, %p_getattr_getattr_l__self___encoder_layer___17___ffn___2___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___17___ffn___2___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0953663Z     %add_267 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_267, %add_266), kwargs = {})
2025-03-21T20:23:47.0954302Z     %mul_143 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_267, %p_getattr_getattr_l__self___encoder_layer___17___ffn___2___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0954920Z     %add_268 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_143, %p_getattr_getattr_l__self___encoder_layer___17___ffn___2___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0955793Z     %linear_268 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_268, %p_getattr_l__self___encoder_layer___17___intermediate_dense_weight, %p_getattr_l__self___encoder_layer___17___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0956158Z     %relu_71 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_268,), kwargs = {})
2025-03-21T20:23:47.0956975Z     %linear_269 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_71, %p_getattr_l__self___encoder_layer___17___output_dense_weight, %p_getattr_l__self___encoder_layer___17___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0957354Z     %add_269 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_269, %add_268), kwargs = {})
2025-03-21T20:23:47.0957934Z     %mul_144 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_269, %p_getattr_l__self___encoder_layer___17___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0958496Z     %add_270 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_144, %p_getattr_l__self___encoder_layer___17___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0959405Z     %linear_270 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_270, %p_getattr_l__self___encoder_layer___17___output_bottleneck_dense_weight, %p_getattr_l__self___encoder_layer___17___output_bottleneck_dense_bias), kwargs = {})
2025-03-21T20:23:47.0959897Z     %dropout_36 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_270, 0.0, False), kwargs = {})
2025-03-21T20:23:47.0960289Z     %add_271 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_36, %add_257), kwargs = {})
2025-03-21T20:23:47.0960889Z     %mul_145 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_271, %p_getattr_l__self___encoder_layer___17___output_bottleneck_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0961551Z     %add_272 : [num_users=4] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_145, %p_getattr_l__self___encoder_layer___17___output_bottleneck_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0962160Z     %lift_fresh_copy_17 : [num_users=1] = call_function[target=torch.ops.aten.lift_fresh_copy.default](args = (%c_getattr_l__self___encoder_layer___17___lifted_tensor_17,), kwargs = {})
2025-03-21T20:23:47.0962592Z     %detach__17 : [num_users=0] = call_function[target=torch.ops.aten.detach_.default](args = (%lift_fresh_copy_17,), kwargs = {})
2025-03-21T20:23:47.0963473Z     %linear_271 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_272, %p_getattr_l__self___encoder_layer___18___bottleneck_input_dense_weight, %p_getattr_l__self___encoder_layer___18___bottleneck_input_dense_bias), kwargs = {})
2025-03-21T20:23:47.0964103Z     %mul_146 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%linear_271, %p_getattr_l__self___encoder_layer___18___bottleneck_input_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0964695Z     %add_273 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_146, %p_getattr_l__self___encoder_layer___18___bottleneck_input_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0965624Z     %linear_272 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_272, %p_getattr_l__self___encoder_layer___18___bottleneck_attention_dense_weight, %p_getattr_l__self___encoder_layer___18___bottleneck_attention_dense_bias), kwargs = {})
2025-03-21T20:23:47.0966258Z     %mul_147 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%linear_272, %p_getattr_l__self___encoder_layer___18___bottleneck_attention_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0966877Z     %add_274 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_147, %p_getattr_l__self___encoder_layer___18___bottleneck_attention_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0967740Z     %linear_273 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_274, %p_getattr_l__self___encoder_layer___18___attention_self_query_weight, %p_getattr_l__self___encoder_layer___18___attention_self_query_bias), kwargs = {})
2025-03-21T20:23:47.0968592Z     %linear_274 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_274, %p_getattr_l__self___encoder_layer___18___attention_self_key_weight, %p_getattr_l__self___encoder_layer___18___attention_self_key_bias), kwargs = {})
2025-03-21T20:23:47.0969455Z     %linear_275 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_272, %p_getattr_l__self___encoder_layer___18___attention_self_value_weight, %p_getattr_l__self___encoder_layer___18___attention_self_value_bias), kwargs = {})
2025-03-21T20:23:47.0969871Z     %view_72 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_273, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0970305Z     %permute_72 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_72, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0970719Z     %view_73 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_274, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0971144Z     %permute_73 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_73, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0971606Z     %view_74 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_275, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.0972029Z     %permute_74 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_74, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0972457Z     %transpose_18 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%permute_73, -1, -2), kwargs = {})
2025-03-21T20:23:47.0972947Z     %matmul_36 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%permute_72, %transpose_18), kwargs = {})
2025-03-21T20:23:47.0973339Z     %div_18 : [num_users=1] = call_function[target=torch.ops.aten.div.Tensor](args = (%matmul_36, 5.656854249492381), kwargs = {})
2025-03-21T20:23:47.0973710Z     %add_275 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%div_18, %mul), kwargs = {})
2025-03-21T20:23:47.0974091Z     %softmax_18 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_275, -1), kwargs = {})
2025-03-21T20:23:47.0974537Z     %dropout_37 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%softmax_18, 0.1, False), kwargs = {})
2025-03-21T20:23:47.0974963Z     %matmul_37 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%dropout_37, %permute_74), kwargs = {})
2025-03-21T20:23:47.0975404Z     %permute_75 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%matmul_37, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.0975838Z     %contiguous_18 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%permute_75,), kwargs = {})
2025-03-21T20:23:47.0976257Z     %view_75 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_18, [1, 8, 128]), kwargs = {})
2025-03-21T20:23:47.0977142Z     %linear_276 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%view_75, %p_getattr_l__self___encoder_layer___18___attention_output_dense_weight, %p_getattr_l__self___encoder_layer___18___attention_output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0977537Z     %add_276 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_276, %add_273), kwargs = {})
2025-03-21T20:23:47.0978135Z     %mul_148 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_276, %p_getattr_l__self___encoder_layer___18___attention_output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0978740Z     %add_277 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_148, %p_getattr_l__self___encoder_layer___18___attention_output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0979715Z     %linear_277 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_277, %p_getattr_getattr_l__self___encoder_layer___18___ffn___0___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___18___ffn___0___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0980094Z     %relu_72 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_277,), kwargs = {})
2025-03-21T20:23:47.0981010Z     %linear_278 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_72, %p_getattr_getattr_l__self___encoder_layer___18___ffn___0___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___18___ffn___0___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0981406Z     %add_278 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_278, %add_277), kwargs = {})
2025-03-21T20:23:47.0982027Z     %mul_149 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_278, %p_getattr_getattr_l__self___encoder_layer___18___ffn___0___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0982656Z     %add_279 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_149, %p_getattr_getattr_l__self___encoder_layer___18___ffn___0___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0983706Z     %linear_279 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_279, %p_getattr_getattr_l__self___encoder_layer___18___ffn___1___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___18___ffn___1___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0984083Z     %relu_73 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_279,), kwargs = {})
2025-03-21T20:23:47.0985047Z     %linear_280 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_73, %p_getattr_getattr_l__self___encoder_layer___18___ffn___1___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___18___ffn___1___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0985437Z     %add_280 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_280, %add_279), kwargs = {})
2025-03-21T20:23:47.0986067Z     %mul_150 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_280, %p_getattr_getattr_l__self___encoder_layer___18___ffn___1___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0986682Z     %add_281 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_150, %p_getattr_getattr_l__self___encoder_layer___18___ffn___1___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0987665Z     %linear_281 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_281, %p_getattr_getattr_l__self___encoder_layer___18___ffn___2___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___18___ffn___2___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0988030Z     %relu_74 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_281,), kwargs = {})
2025-03-21T20:23:47.0988957Z     %linear_282 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_74, %p_getattr_getattr_l__self___encoder_layer___18___ffn___2___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___18___ffn___2___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0989340Z     %add_282 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_282, %add_281), kwargs = {})
2025-03-21T20:23:47.0989975Z     %mul_151 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_282, %p_getattr_getattr_l__self___encoder_layer___18___ffn___2___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0990594Z     %add_283 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_151, %p_getattr_getattr_l__self___encoder_layer___18___ffn___2___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0991462Z     %linear_283 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_283, %p_getattr_l__self___encoder_layer___18___intermediate_dense_weight, %p_getattr_l__self___encoder_layer___18___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.0991831Z     %relu_75 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_283,), kwargs = {})
2025-03-21T20:23:47.0992637Z     %linear_284 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_75, %p_getattr_l__self___encoder_layer___18___output_dense_weight, %p_getattr_l__self___encoder_layer___18___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.0993110Z     %add_284 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_284, %add_283), kwargs = {})
2025-03-21T20:23:47.0993689Z     %mul_152 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_284, %p_getattr_l__self___encoder_layer___18___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0994249Z     %add_285 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_152, %p_getattr_l__self___encoder_layer___18___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0995212Z     %linear_285 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_285, %p_getattr_l__self___encoder_layer___18___output_bottleneck_dense_weight, %p_getattr_l__self___encoder_layer___18___output_bottleneck_dense_bias), kwargs = {})
2025-03-21T20:23:47.0995648Z     %dropout_38 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_285, 0.0, False), kwargs = {})
2025-03-21T20:23:47.0996048Z     %add_286 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_38, %add_272), kwargs = {})
2025-03-21T20:23:47.0996696Z     %mul_153 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_286, %p_getattr_l__self___encoder_layer___18___output_bottleneck_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.0997301Z     %add_287 : [num_users=4] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_153, %p_getattr_l__self___encoder_layer___18___output_bottleneck_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.0997917Z     %lift_fresh_copy_18 : [num_users=1] = call_function[target=torch.ops.aten.lift_fresh_copy.default](args = (%c_getattr_l__self___encoder_layer___18___lifted_tensor_18,), kwargs = {})
2025-03-21T20:23:47.0998344Z     %detach__18 : [num_users=0] = call_function[target=torch.ops.aten.detach_.default](args = (%lift_fresh_copy_18,), kwargs = {})
2025-03-21T20:23:47.0999236Z     %linear_286 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_287, %p_getattr_l__self___encoder_layer___19___bottleneck_input_dense_weight, %p_getattr_l__self___encoder_layer___19___bottleneck_input_dense_bias), kwargs = {})
2025-03-21T20:23:47.0999868Z     %mul_154 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%linear_286, %p_getattr_l__self___encoder_layer___19___bottleneck_input_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.1000457Z     %add_288 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_154, %p_getattr_l__self___encoder_layer___19___bottleneck_input_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.1001390Z     %linear_287 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_287, %p_getattr_l__self___encoder_layer___19___bottleneck_attention_dense_weight, %p_getattr_l__self___encoder_layer___19___bottleneck_attention_dense_bias), kwargs = {})
2025-03-21T20:23:47.1002269Z     %mul_155 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%linear_287, %p_getattr_l__self___encoder_layer___19___bottleneck_attention_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.1002979Z     %add_289 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_155, %p_getattr_l__self___encoder_layer___19___bottleneck_attention_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.1003847Z     %linear_288 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_289, %p_getattr_l__self___encoder_layer___19___attention_self_query_weight, %p_getattr_l__self___encoder_layer___19___attention_self_query_bias), kwargs = {})
2025-03-21T20:23:47.1004714Z     %linear_289 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_289, %p_getattr_l__self___encoder_layer___19___attention_self_key_weight, %p_getattr_l__self___encoder_layer___19___attention_self_key_bias), kwargs = {})
2025-03-21T20:23:47.1005577Z     %linear_290 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_287, %p_getattr_l__self___encoder_layer___19___attention_self_value_weight, %p_getattr_l__self___encoder_layer___19___attention_self_value_bias), kwargs = {})
2025-03-21T20:23:47.1006000Z     %view_76 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_288, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.1006428Z     %permute_76 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_76, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.1006992Z     %view_77 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_289, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.1007422Z     %permute_77 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_77, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.1007840Z     %view_78 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_290, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.1008281Z     %permute_78 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_78, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.1008821Z     %transpose_19 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%permute_77, -1, -2), kwargs = {})
2025-03-21T20:23:47.1009257Z     %matmul_38 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%permute_76, %transpose_19), kwargs = {})
2025-03-21T20:23:47.1009662Z     %div_19 : [num_users=1] = call_function[target=torch.ops.aten.div.Tensor](args = (%matmul_38, 5.656854249492381), kwargs = {})
2025-03-21T20:23:47.1010034Z     %add_290 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%div_19, %mul), kwargs = {})
2025-03-21T20:23:47.1010413Z     %softmax_19 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_290, -1), kwargs = {})
2025-03-21T20:23:47.1010865Z     %dropout_39 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%softmax_19, 0.1, False), kwargs = {})
2025-03-21T20:23:47.1011296Z     %matmul_39 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%dropout_39, %permute_78), kwargs = {})
2025-03-21T20:23:47.1011744Z     %permute_79 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%matmul_39, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.1012175Z     %contiguous_19 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%permute_79,), kwargs = {})
2025-03-21T20:23:47.1012601Z     %view_79 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_19, [1, 8, 128]), kwargs = {})
2025-03-21T20:23:47.1013487Z     %linear_291 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%view_79, %p_getattr_l__self___encoder_layer___19___attention_output_dense_weight, %p_getattr_l__self___encoder_layer___19___attention_output_dense_bias), kwargs = {})
2025-03-21T20:23:47.1013886Z     %add_291 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_291, %add_288), kwargs = {})
2025-03-21T20:23:47.1014489Z     %mul_156 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_291, %p_getattr_l__self___encoder_layer___19___attention_output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.1015098Z     %add_292 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_156, %p_getattr_l__self___encoder_layer___19___attention_output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.1016082Z     %linear_292 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_292, %p_getattr_getattr_l__self___encoder_layer___19___ffn___0___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___19___ffn___0___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.1016465Z     %relu_76 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_292,), kwargs = {})
2025-03-21T20:23:47.1017398Z     %linear_293 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_76, %p_getattr_getattr_l__self___encoder_layer___19___ffn___0___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___19___ffn___0___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.1017791Z     %add_293 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_293, %add_292), kwargs = {})
2025-03-21T20:23:47.1018416Z     %mul_157 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_293, %p_getattr_getattr_l__self___encoder_layer___19___ffn___0___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.1019096Z     %add_294 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_157, %p_getattr_getattr_l__self___encoder_layer___19___ffn___0___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.1020110Z     %linear_294 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_294, %p_getattr_getattr_l__self___encoder_layer___19___ffn___1___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___19___ffn___1___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.1020491Z     %relu_77 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_294,), kwargs = {})
2025-03-21T20:23:47.1021410Z     %linear_295 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_77, %p_getattr_getattr_l__self___encoder_layer___19___ffn___1___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___19___ffn___1___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.1021807Z     %add_295 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_295, %add_294), kwargs = {})
2025-03-21T20:23:47.1022430Z     %mul_158 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_295, %p_getattr_getattr_l__self___encoder_layer___19___ffn___1___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.1023060Z     %add_296 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_158, %p_getattr_getattr_l__self___encoder_layer___19___ffn___1___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.1024024Z     %linear_296 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_296, %p_getattr_getattr_l__self___encoder_layer___19___ffn___2___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___19___ffn___2___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.1024406Z     %relu_78 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_296,), kwargs = {})
2025-03-21T20:23:47.1025328Z     %linear_297 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_78, %p_getattr_getattr_l__self___encoder_layer___19___ffn___2___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___19___ffn___2___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.1025728Z     %add_297 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_297, %add_296), kwargs = {})
2025-03-21T20:23:47.1026353Z     %mul_159 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_297, %p_getattr_getattr_l__self___encoder_layer___19___ffn___2___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.1026983Z     %add_298 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_159, %p_getattr_getattr_l__self___encoder_layer___19___ffn___2___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.1027841Z     %linear_298 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_298, %p_getattr_l__self___encoder_layer___19___intermediate_dense_weight, %p_getattr_l__self___encoder_layer___19___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.1028214Z     %relu_79 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_298,), kwargs = {})
2025-03-21T20:23:47.1029018Z     %linear_299 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_79, %p_getattr_l__self___encoder_layer___19___output_dense_weight, %p_getattr_l__self___encoder_layer___19___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.1029397Z     %add_299 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_299, %add_298), kwargs = {})
2025-03-21T20:23:47.1029972Z     %mul_160 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_299, %p_getattr_l__self___encoder_layer___19___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.1030577Z     %add_300 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_160, %p_getattr_l__self___encoder_layer___19___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.1031479Z     %linear_300 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_300, %p_getattr_l__self___encoder_layer___19___output_bottleneck_dense_weight, %p_getattr_l__self___encoder_layer___19___output_bottleneck_dense_bias), kwargs = {})
2025-03-21T20:23:47.1031963Z     %dropout_40 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_300, 0.0, False), kwargs = {})
2025-03-21T20:23:47.1032354Z     %add_301 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_40, %add_287), kwargs = {})
2025-03-21T20:23:47.1033071Z     %mul_161 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_301, %p_getattr_l__self___encoder_layer___19___output_bottleneck_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.1033683Z     %add_302 : [num_users=4] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_161, %p_getattr_l__self___encoder_layer___19___output_bottleneck_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.1034293Z     %lift_fresh_copy_19 : [num_users=1] = call_function[target=torch.ops.aten.lift_fresh_copy.default](args = (%c_getattr_l__self___encoder_layer___19___lifted_tensor_19,), kwargs = {})
2025-03-21T20:23:47.1034726Z     %detach__19 : [num_users=0] = call_function[target=torch.ops.aten.detach_.default](args = (%lift_fresh_copy_19,), kwargs = {})
2025-03-21T20:23:47.1035608Z     %linear_301 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_302, %p_getattr_l__self___encoder_layer___20___bottleneck_input_dense_weight, %p_getattr_l__self___encoder_layer___20___bottleneck_input_dense_bias), kwargs = {})
2025-03-21T20:23:47.1036238Z     %mul_162 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%linear_301, %p_getattr_l__self___encoder_layer___20___bottleneck_input_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.1036825Z     %add_303 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_162, %p_getattr_l__self___encoder_layer___20___bottleneck_input_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.1037753Z     %linear_302 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_302, %p_getattr_l__self___encoder_layer___20___bottleneck_attention_dense_weight, %p_getattr_l__self___encoder_layer___20___bottleneck_attention_dense_bias), kwargs = {})
2025-03-21T20:23:47.1038383Z     %mul_163 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%linear_302, %p_getattr_l__self___encoder_layer___20___bottleneck_attention_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.1038999Z     %add_304 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_163, %p_getattr_l__self___encoder_layer___20___bottleneck_attention_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.1039864Z     %linear_303 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_304, %p_getattr_l__self___encoder_layer___20___attention_self_query_weight, %p_getattr_l__self___encoder_layer___20___attention_self_query_bias), kwargs = {})
2025-03-21T20:23:47.1040717Z     %linear_304 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_304, %p_getattr_l__self___encoder_layer___20___attention_self_key_weight, %p_getattr_l__self___encoder_layer___20___attention_self_key_bias), kwargs = {})
2025-03-21T20:23:47.1041573Z     %linear_305 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_302, %p_getattr_l__self___encoder_layer___20___attention_self_value_weight, %p_getattr_l__self___encoder_layer___20___attention_self_value_bias), kwargs = {})
2025-03-21T20:23:47.1042047Z     %view_80 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_303, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.1042481Z     %permute_80 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_80, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.1042896Z     %view_81 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_304, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.1043322Z     %permute_81 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_81, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.1043784Z     %view_82 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_305, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.1044207Z     %permute_82 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_82, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.1044644Z     %transpose_20 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%permute_81, -1, -2), kwargs = {})
2025-03-21T20:23:47.1045084Z     %matmul_40 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%permute_80, %transpose_20), kwargs = {})
2025-03-21T20:23:47.1045490Z     %div_20 : [num_users=1] = call_function[target=torch.ops.aten.div.Tensor](args = (%matmul_40, 5.656854249492381), kwargs = {})
2025-03-21T20:23:47.1045849Z     %add_305 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%div_20, %mul), kwargs = {})
2025-03-21T20:23:47.1046228Z     %softmax_20 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_305, -1), kwargs = {})
2025-03-21T20:23:47.1046670Z     %dropout_41 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%softmax_20, 0.1, False), kwargs = {})
2025-03-21T20:23:47.1047097Z     %matmul_41 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%dropout_41, %permute_82), kwargs = {})
2025-03-21T20:23:47.1047546Z     %permute_83 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%matmul_41, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.1047975Z     %contiguous_20 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%permute_83,), kwargs = {})
2025-03-21T20:23:47.1048394Z     %view_83 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_20, [1, 8, 128]), kwargs = {})
2025-03-21T20:23:47.1049284Z     %linear_306 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%view_83, %p_getattr_l__self___encoder_layer___20___attention_output_dense_weight, %p_getattr_l__self___encoder_layer___20___attention_output_dense_bias), kwargs = {})
2025-03-21T20:23:47.1049672Z     %add_306 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_306, %add_303), kwargs = {})
2025-03-21T20:23:47.1050275Z     %mul_164 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_306, %p_getattr_l__self___encoder_layer___20___attention_output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.1050878Z     %add_307 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_164, %p_getattr_l__self___encoder_layer___20___attention_output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.1051854Z     %linear_307 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_307, %p_getattr_getattr_l__self___encoder_layer___20___ffn___0___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___20___ffn___0___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.1052233Z     %relu_80 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_307,), kwargs = {})
2025-03-21T20:23:47.1053150Z     %linear_308 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_80, %p_getattr_getattr_l__self___encoder_layer___20___ffn___0___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___20___ffn___0___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.1053601Z     %add_308 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_308, %add_307), kwargs = {})
2025-03-21T20:23:47.1054220Z     %mul_165 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_308, %p_getattr_getattr_l__self___encoder_layer___20___ffn___0___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.1054848Z     %add_309 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_165, %p_getattr_getattr_l__self___encoder_layer___20___ffn___0___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.1055863Z     %linear_309 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_309, %p_getattr_getattr_l__self___encoder_layer___20___ffn___1___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___20___ffn___1___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.1056242Z     %relu_81 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_309,), kwargs = {})
2025-03-21T20:23:47.1057159Z     %linear_310 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_81, %p_getattr_getattr_l__self___encoder_layer___20___ffn___1___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___20___ffn___1___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.1057546Z     %add_310 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_310, %add_309), kwargs = {})
2025-03-21T20:23:47.1058170Z     %mul_166 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_310, %p_getattr_getattr_l__self___encoder_layer___20___ffn___1___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.1058796Z     %add_311 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_166, %p_getattr_getattr_l__self___encoder_layer___20___ffn___1___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.1059767Z     %linear_311 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_311, %p_getattr_getattr_l__self___encoder_layer___20___ffn___2___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___20___ffn___2___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.1060146Z     %relu_82 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_311,), kwargs = {})
2025-03-21T20:23:47.1061068Z     %linear_312 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_82, %p_getattr_getattr_l__self___encoder_layer___20___ffn___2___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___20___ffn___2___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.1061461Z     %add_312 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_312, %add_311), kwargs = {})
2025-03-21T20:23:47.1062083Z     %mul_167 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_312, %p_getattr_getattr_l__self___encoder_layer___20___ffn___2___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.1062717Z     %add_313 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_167, %p_getattr_getattr_l__self___encoder_layer___20___ffn___2___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.1063573Z     %linear_313 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_313, %p_getattr_l__self___encoder_layer___20___intermediate_dense_weight, %p_getattr_l__self___encoder_layer___20___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.1063951Z     %relu_83 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_313,), kwargs = {})
2025-03-21T20:23:47.1064748Z     %linear_314 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_83, %p_getattr_l__self___encoder_layer___20___output_dense_weight, %p_getattr_l__self___encoder_layer___20___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.1065191Z     %add_314 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_314, %add_313), kwargs = {})
2025-03-21T20:23:47.1065757Z     %mul_168 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_314, %p_getattr_l__self___encoder_layer___20___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.1066311Z     %add_315 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_168, %p_getattr_l__self___encoder_layer___20___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.1067270Z     %linear_315 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_315, %p_getattr_l__self___encoder_layer___20___output_bottleneck_dense_weight, %p_getattr_l__self___encoder_layer___20___output_bottleneck_dense_bias), kwargs = {})
2025-03-21T20:23:47.1067706Z     %dropout_42 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_315, 0.0, False), kwargs = {})
2025-03-21T20:23:47.1068100Z     %add_316 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_42, %add_302), kwargs = {})
2025-03-21T20:23:47.1068698Z     %mul_169 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_316, %p_getattr_l__self___encoder_layer___20___output_bottleneck_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.1069303Z     %add_317 : [num_users=4] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_169, %p_getattr_l__self___encoder_layer___20___output_bottleneck_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.1069913Z     %lift_fresh_copy_20 : [num_users=1] = call_function[target=torch.ops.aten.lift_fresh_copy.default](args = (%c_getattr_l__self___encoder_layer___20___lifted_tensor_20,), kwargs = {})
2025-03-21T20:23:47.1070342Z     %detach__20 : [num_users=0] = call_function[target=torch.ops.aten.detach_.default](args = (%lift_fresh_copy_20,), kwargs = {})
2025-03-21T20:23:47.1071215Z     %linear_316 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_317, %p_getattr_l__self___encoder_layer___21___bottleneck_input_dense_weight, %p_getattr_l__self___encoder_layer___21___bottleneck_input_dense_bias), kwargs = {})
2025-03-21T20:23:47.1071842Z     %mul_170 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%linear_316, %p_getattr_l__self___encoder_layer___21___bottleneck_input_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.1072438Z     %add_318 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_170, %p_getattr_l__self___encoder_layer___21___bottleneck_input_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.1073459Z     %linear_317 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_317, %p_getattr_l__self___encoder_layer___21___bottleneck_attention_dense_weight, %p_getattr_l__self___encoder_layer___21___bottleneck_attention_dense_bias), kwargs = {})
2025-03-21T20:23:47.1074095Z     %mul_171 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%linear_317, %p_getattr_l__self___encoder_layer___21___bottleneck_attention_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.1074722Z     %add_319 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_171, %p_getattr_l__self___encoder_layer___21___bottleneck_attention_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.1075583Z     %linear_318 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_319, %p_getattr_l__self___encoder_layer___21___attention_self_query_weight, %p_getattr_l__self___encoder_layer___21___attention_self_query_bias), kwargs = {})
2025-03-21T20:23:47.1076434Z     %linear_319 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_319, %p_getattr_l__self___encoder_layer___21___attention_self_key_weight, %p_getattr_l__self___encoder_layer___21___attention_self_key_bias), kwargs = {})
2025-03-21T20:23:47.1077290Z     %linear_320 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_317, %p_getattr_l__self___encoder_layer___21___attention_self_value_weight, %p_getattr_l__self___encoder_layer___21___attention_self_value_bias), kwargs = {})
2025-03-21T20:23:47.1077762Z     %view_84 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_318, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.1078187Z     %permute_84 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_84, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.1078649Z     %view_85 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_319, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.1079073Z     %permute_85 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_85, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.1079486Z     %view_86 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_320, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.1079911Z     %permute_86 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_86, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.1080348Z     %transpose_21 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%permute_85, -1, -2), kwargs = {})
2025-03-21T20:23:47.1080779Z     %matmul_42 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%permute_84, %transpose_21), kwargs = {})
2025-03-21T20:23:47.1081181Z     %div_21 : [num_users=1] = call_function[target=torch.ops.aten.div.Tensor](args = (%matmul_42, 5.656854249492381), kwargs = {})
2025-03-21T20:23:47.1081542Z     %add_320 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%div_21, %mul), kwargs = {})
2025-03-21T20:23:47.1081930Z     %softmax_21 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_320, -1), kwargs = {})
2025-03-21T20:23:47.1082364Z     %dropout_43 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%softmax_21, 0.1, False), kwargs = {})
2025-03-21T20:23:47.1082792Z     %matmul_43 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%dropout_43, %permute_86), kwargs = {})
2025-03-21T20:23:47.1083231Z     %permute_87 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%matmul_43, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.1083662Z     %contiguous_21 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%permute_87,), kwargs = {})
2025-03-21T20:23:47.1084083Z     %view_87 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_21, [1, 8, 128]), kwargs = {})
2025-03-21T20:23:47.1084965Z     %linear_321 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%view_87, %p_getattr_l__self___encoder_layer___21___attention_output_dense_weight, %p_getattr_l__self___encoder_layer___21___attention_output_dense_bias), kwargs = {})
2025-03-21T20:23:47.1085360Z     %add_321 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_321, %add_318), kwargs = {})
2025-03-21T20:23:47.1085958Z     %mul_172 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_321, %p_getattr_l__self___encoder_layer___21___attention_output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.1086556Z     %add_322 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_172, %p_getattr_l__self___encoder_layer___21___attention_output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.1087528Z     %linear_322 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_322, %p_getattr_getattr_l__self___encoder_layer___21___ffn___0___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___21___ffn___0___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.1087901Z     %relu_84 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_322,), kwargs = {})
2025-03-21T20:23:47.1088868Z     %linear_323 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_84, %p_getattr_getattr_l__self___encoder_layer___21___ffn___0___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___21___ffn___0___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.1089259Z     %add_323 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_323, %add_322), kwargs = {})
2025-03-21T20:23:47.1089938Z     %mul_173 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_323, %p_getattr_getattr_l__self___encoder_layer___21___ffn___0___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.1090566Z     %add_324 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_173, %p_getattr_getattr_l__self___encoder_layer___21___ffn___0___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.1091537Z     %linear_324 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_324, %p_getattr_getattr_l__self___encoder_layer___21___ffn___1___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___21___ffn___1___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.1091917Z     %relu_85 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_324,), kwargs = {})
2025-03-21T20:23:47.1092834Z     %linear_325 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_85, %p_getattr_getattr_l__self___encoder_layer___21___ffn___1___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___21___ffn___1___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.1093223Z     %add_325 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_325, %add_324), kwargs = {})
2025-03-21T20:23:47.1093843Z     %mul_174 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_325, %p_getattr_getattr_l__self___encoder_layer___21___ffn___1___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.1094471Z     %add_326 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_174, %p_getattr_getattr_l__self___encoder_layer___21___ffn___1___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.1095438Z     %linear_326 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_326, %p_getattr_getattr_l__self___encoder_layer___21___ffn___2___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___21___ffn___2___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.1095821Z     %relu_86 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_326,), kwargs = {})
2025-03-21T20:23:47.1096737Z     %linear_327 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_86, %p_getattr_getattr_l__self___encoder_layer___21___ffn___2___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___21___ffn___2___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.1097133Z     %add_327 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_327, %add_326), kwargs = {})
2025-03-21T20:23:47.1097755Z     %mul_175 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_327, %p_getattr_getattr_l__self___encoder_layer___21___ffn___2___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.1098383Z     %add_328 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_175, %p_getattr_getattr_l__self___encoder_layer___21___ffn___2___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.1099239Z     %linear_328 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_328, %p_getattr_l__self___encoder_layer___21___intermediate_dense_weight, %p_getattr_l__self___encoder_layer___21___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.1099617Z     %relu_87 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_328,), kwargs = {})
2025-03-21T20:23:47.1100461Z     %linear_329 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_87, %p_getattr_l__self___encoder_layer___21___output_dense_weight, %p_getattr_l__self___encoder_layer___21___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.1100850Z     %add_329 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_329, %add_328), kwargs = {})
2025-03-21T20:23:47.1101414Z     %mul_176 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_329, %p_getattr_l__self___encoder_layer___21___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.1102308Z     %add_330 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_176, %p_getattr_l__self___encoder_layer___21___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.1103203Z     %linear_330 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_330, %p_getattr_l__self___encoder_layer___21___output_bottleneck_dense_weight, %p_getattr_l__self___encoder_layer___21___output_bottleneck_dense_bias), kwargs = {})
2025-03-21T20:23:47.1103658Z     %dropout_44 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_330, 0.0, False), kwargs = {})
2025-03-21T20:23:47.1104040Z     %add_331 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_44, %add_317), kwargs = {})
2025-03-21T20:23:47.1104640Z     %mul_177 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_331, %p_getattr_l__self___encoder_layer___21___output_bottleneck_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.1105250Z     %add_332 : [num_users=4] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_177, %p_getattr_l__self___encoder_layer___21___output_bottleneck_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.1105861Z     %lift_fresh_copy_21 : [num_users=1] = call_function[target=torch.ops.aten.lift_fresh_copy.default](args = (%c_getattr_l__self___encoder_layer___21___lifted_tensor_21,), kwargs = {})
2025-03-21T20:23:47.1106297Z     %detach__21 : [num_users=0] = call_function[target=torch.ops.aten.detach_.default](args = (%lift_fresh_copy_21,), kwargs = {})
2025-03-21T20:23:47.1107177Z     %linear_331 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_332, %p_getattr_l__self___encoder_layer___22___bottleneck_input_dense_weight, %p_getattr_l__self___encoder_layer___22___bottleneck_input_dense_bias), kwargs = {})
2025-03-21T20:23:47.1107810Z     %mul_178 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%linear_331, %p_getattr_l__self___encoder_layer___22___bottleneck_input_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.1108402Z     %add_333 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_178, %p_getattr_l__self___encoder_layer___22___bottleneck_input_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.1109331Z     %linear_332 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_332, %p_getattr_l__self___encoder_layer___22___bottleneck_attention_dense_weight, %p_getattr_l__self___encoder_layer___22___bottleneck_attention_dense_bias), kwargs = {})
2025-03-21T20:23:47.1109965Z     %mul_179 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%linear_332, %p_getattr_l__self___encoder_layer___22___bottleneck_attention_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.1110581Z     %add_334 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_179, %p_getattr_l__self___encoder_layer___22___bottleneck_attention_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.1111444Z     %linear_333 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_334, %p_getattr_l__self___encoder_layer___22___attention_self_query_weight, %p_getattr_l__self___encoder_layer___22___attention_self_query_bias), kwargs = {})
2025-03-21T20:23:47.1112298Z     %linear_334 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_334, %p_getattr_l__self___encoder_layer___22___attention_self_key_weight, %p_getattr_l__self___encoder_layer___22___attention_self_key_bias), kwargs = {})
2025-03-21T20:23:47.1113319Z     %linear_335 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_332, %p_getattr_l__self___encoder_layer___22___attention_self_value_weight, %p_getattr_l__self___encoder_layer___22___attention_self_value_bias), kwargs = {})
2025-03-21T20:23:47.1113738Z     %view_88 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_333, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.1114228Z     %permute_88 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_88, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.1114644Z     %view_89 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_334, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.1115069Z     %permute_89 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_89, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.1115491Z     %view_90 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_335, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.1115915Z     %permute_90 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_90, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.1116351Z     %transpose_22 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%permute_89, -1, -2), kwargs = {})
2025-03-21T20:23:47.1116787Z     %matmul_44 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%permute_88, %transpose_22), kwargs = {})
2025-03-21T20:23:47.1117192Z     %div_22 : [num_users=1] = call_function[target=torch.ops.aten.div.Tensor](args = (%matmul_44, 5.656854249492381), kwargs = {})
2025-03-21T20:23:47.1117549Z     %add_335 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%div_22, %mul), kwargs = {})
2025-03-21T20:23:47.1117951Z     %softmax_22 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_335, -1), kwargs = {})
2025-03-21T20:23:47.1118386Z     %dropout_45 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%softmax_22, 0.1, False), kwargs = {})
2025-03-21T20:23:47.1118813Z     %matmul_45 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%dropout_45, %permute_90), kwargs = {})
2025-03-21T20:23:47.1119261Z     %permute_91 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%matmul_45, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.1119695Z     %contiguous_22 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%permute_91,), kwargs = {})
2025-03-21T20:23:47.1120117Z     %view_91 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_22, [1, 8, 128]), kwargs = {})
2025-03-21T20:23:47.1121008Z     %linear_336 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%view_91, %p_getattr_l__self___encoder_layer___22___attention_output_dense_weight, %p_getattr_l__self___encoder_layer___22___attention_output_dense_bias), kwargs = {})
2025-03-21T20:23:47.1121407Z     %add_336 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_336, %add_333), kwargs = {})
2025-03-21T20:23:47.1122005Z     %mul_180 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_336, %p_getattr_l__self___encoder_layer___22___attention_output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.1122615Z     %add_337 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_180, %p_getattr_l__self___encoder_layer___22___attention_output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.1123587Z     %linear_337 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_337, %p_getattr_getattr_l__self___encoder_layer___22___ffn___0___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___22___ffn___0___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.1124016Z     %relu_88 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_337,), kwargs = {})
2025-03-21T20:23:47.1124932Z     %linear_338 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_88, %p_getattr_getattr_l__self___encoder_layer___22___ffn___0___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___22___ffn___0___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.1125374Z     %add_338 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_338, %add_337), kwargs = {})
2025-03-21T20:23:47.1126002Z     %mul_181 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_338, %p_getattr_getattr_l__self___encoder_layer___22___ffn___0___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.1126631Z     %add_339 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_181, %p_getattr_getattr_l__self___encoder_layer___22___ffn___0___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.1127600Z     %linear_339 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_339, %p_getattr_getattr_l__self___encoder_layer___22___ffn___1___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___22___ffn___1___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.1127981Z     %relu_89 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_339,), kwargs = {})
2025-03-21T20:23:47.1128902Z     %linear_340 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_89, %p_getattr_getattr_l__self___encoder_layer___22___ffn___1___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___22___ffn___1___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.1129298Z     %add_340 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_340, %add_339), kwargs = {})
2025-03-21T20:23:47.1129924Z     %mul_182 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_340, %p_getattr_getattr_l__self___encoder_layer___22___ffn___1___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.1130555Z     %add_341 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_182, %p_getattr_getattr_l__self___encoder_layer___22___ffn___1___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.1131530Z     %linear_341 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_341, %p_getattr_getattr_l__self___encoder_layer___22___ffn___2___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___22___ffn___2___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.1131906Z     %relu_90 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_341,), kwargs = {})
2025-03-21T20:23:47.1132833Z     %linear_342 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_90, %p_getattr_getattr_l__self___encoder_layer___22___ffn___2___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___22___ffn___2___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.1133227Z     %add_342 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_342, %add_341), kwargs = {})
2025-03-21T20:23:47.1133853Z     %mul_183 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_342, %p_getattr_getattr_l__self___encoder_layer___22___ffn___2___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.1134490Z     %add_343 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_183, %p_getattr_getattr_l__self___encoder_layer___22___ffn___2___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.1135349Z     %linear_343 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_343, %p_getattr_l__self___encoder_layer___22___intermediate_dense_weight, %p_getattr_l__self___encoder_layer___22___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.1135771Z     %relu_91 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_343,), kwargs = {})
2025-03-21T20:23:47.1136568Z     %linear_344 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_91, %p_getattr_l__self___encoder_layer___22___output_dense_weight, %p_getattr_l__self___encoder_layer___22___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.1137016Z     %add_344 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_344, %add_343), kwargs = {})
2025-03-21T20:23:47.1137578Z     %mul_184 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_344, %p_getattr_l__self___encoder_layer___22___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.1138145Z     %add_345 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_184, %p_getattr_l__self___encoder_layer___22___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.1139035Z     %linear_345 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_345, %p_getattr_l__self___encoder_layer___22___output_bottleneck_dense_weight, %p_getattr_l__self___encoder_layer___22___output_bottleneck_dense_bias), kwargs = {})
2025-03-21T20:23:47.1139478Z     %dropout_46 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_345, 0.0, False), kwargs = {})
2025-03-21T20:23:47.1139860Z     %add_346 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_46, %add_332), kwargs = {})
2025-03-21T20:23:47.1140468Z     %mul_185 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_346, %p_getattr_l__self___encoder_layer___22___output_bottleneck_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.1141065Z     %add_347 : [num_users=4] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_185, %p_getattr_l__self___encoder_layer___22___output_bottleneck_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.1141691Z     %lift_fresh_copy_22 : [num_users=1] = call_function[target=torch.ops.aten.lift_fresh_copy.default](args = (%c_getattr_l__self___encoder_layer___22___lifted_tensor_22,), kwargs = {})
2025-03-21T20:23:47.1142106Z     %detach__22 : [num_users=0] = call_function[target=torch.ops.aten.detach_.default](args = (%lift_fresh_copy_22,), kwargs = {})
2025-03-21T20:23:47.1142993Z     %linear_346 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_347, %p_getattr_l__self___encoder_layer___23___bottleneck_input_dense_weight, %p_getattr_l__self___encoder_layer___23___bottleneck_input_dense_bias), kwargs = {})
2025-03-21T20:23:47.1143619Z     %mul_186 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%linear_346, %p_getattr_l__self___encoder_layer___23___bottleneck_input_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.1144213Z     %add_348 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_186, %p_getattr_l__self___encoder_layer___23___bottleneck_input_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.1145134Z     %linear_347 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_347, %p_getattr_l__self___encoder_layer___23___bottleneck_attention_dense_weight, %p_getattr_l__self___encoder_layer___23___bottleneck_attention_dense_bias), kwargs = {})
2025-03-21T20:23:47.1145777Z     %mul_187 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%linear_347, %p_getattr_l__self___encoder_layer___23___bottleneck_attention_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.1146382Z     %add_349 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_187, %p_getattr_l__self___encoder_layer___23___bottleneck_attention_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.1147252Z     %linear_348 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_349, %p_getattr_l__self___encoder_layer___23___attention_self_query_weight, %p_getattr_l__self___encoder_layer___23___attention_self_query_bias), kwargs = {})
2025-03-21T20:23:47.1148139Z     %linear_349 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_349, %p_getattr_l__self___encoder_layer___23___attention_self_key_weight, %p_getattr_l__self___encoder_layer___23___attention_self_key_bias), kwargs = {})
2025-03-21T20:23:47.1149055Z     %linear_350 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_347, %p_getattr_l__self___encoder_layer___23___attention_self_value_weight, %p_getattr_l__self___encoder_layer___23___attention_self_value_bias), kwargs = {})
2025-03-21T20:23:47.1149459Z     %view_92 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_348, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.1149896Z     %permute_92 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_92, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.1150298Z     %view_93 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_349, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.1150722Z     %permute_93 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_93, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.1151137Z     %view_94 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%linear_350, [1, 8, 4, 32]), kwargs = {})
2025-03-21T20:23:47.1151561Z     %permute_94 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%view_94, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.1151997Z     %transpose_23 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%permute_93, -1, -2), kwargs = {})
2025-03-21T20:23:47.1152429Z     %matmul_46 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%permute_92, %transpose_23), kwargs = {})
2025-03-21T20:23:47.1152833Z     %div_23 : [num_users=1] = call_function[target=torch.ops.aten.div.Tensor](args = (%matmul_46, 5.656854249492381), kwargs = {})
2025-03-21T20:23:47.1153303Z     %add_350 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%div_23, %mul), kwargs = {})
2025-03-21T20:23:47.1153693Z     %softmax_23 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_350, -1), kwargs = {})
2025-03-21T20:23:47.2228891Z     %dropout_47 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%softmax_23, 0.1, False), kwargs = {})
2025-03-21T20:23:47.2229421Z     %matmul_47 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%dropout_47, %permute_94), kwargs = {})
2025-03-21T20:23:47.2229862Z     %permute_95 : [num_users=1] = call_function[target=torch.ops.aten.permute.default](args = (%matmul_47, [0, 2, 1, 3]), kwargs = {})
2025-03-21T20:23:47.2230387Z     %contiguous_23 : [num_users=1] = call_function[target=torch.ops.aten.contiguous.default](args = (%permute_95,), kwargs = {})
2025-03-21T20:23:47.2230811Z     %view_95 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%contiguous_23, [1, 8, 128]), kwargs = {})
2025-03-21T20:23:47.2231847Z     %linear_351 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%view_95, %p_getattr_l__self___encoder_layer___23___attention_output_dense_weight, %p_getattr_l__self___encoder_layer___23___attention_output_dense_bias), kwargs = {})
2025-03-21T20:23:47.2232239Z     %add_351 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_351, %add_348), kwargs = {})
2025-03-21T20:23:47.2232857Z     %mul_188 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_351, %p_getattr_l__self___encoder_layer___23___attention_output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.2233564Z     %add_352 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_188, %p_getattr_l__self___encoder_layer___23___attention_output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.2234783Z     %linear_352 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_352, %p_getattr_getattr_l__self___encoder_layer___23___ffn___0___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___23___ffn___0___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.2235148Z     %relu_92 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_352,), kwargs = {})
2025-03-21T20:23:47.2236198Z     %linear_353 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_92, %p_getattr_getattr_l__self___encoder_layer___23___ffn___0___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___23___ffn___0___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.2236582Z     %add_353 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_353, %add_352), kwargs = {})
2025-03-21T20:23:47.2237226Z     %mul_189 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_353, %p_getattr_getattr_l__self___encoder_layer___23___ffn___0___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.2237843Z     %add_354 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_189, %p_getattr_getattr_l__self___encoder_layer___23___ffn___0___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.2238834Z     %linear_354 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_354, %p_getattr_getattr_l__self___encoder_layer___23___ffn___1___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___23___ffn___1___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.2239200Z     %relu_93 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_354,), kwargs = {})
2025-03-21T20:23:47.2240136Z     %linear_355 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_93, %p_getattr_getattr_l__self___encoder_layer___23___ffn___1___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___23___ffn___1___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.2240526Z     %add_355 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_355, %add_354), kwargs = {})
2025-03-21T20:23:47.2241165Z     %mul_190 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_355, %p_getattr_getattr_l__self___encoder_layer___23___ffn___1___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.2241782Z     %add_356 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_190, %p_getattr_getattr_l__self___encoder_layer___23___ffn___1___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.2242763Z     %linear_356 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_356, %p_getattr_getattr_l__self___encoder_layer___23___ffn___2___intermediate_dense_weight, %p_getattr_getattr_l__self___encoder_layer___23___ffn___2___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.2243130Z     %relu_94 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_356,), kwargs = {})
2025-03-21T20:23:47.2244065Z     %linear_357 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_94, %p_getattr_getattr_l__self___encoder_layer___23___ffn___2___output_dense_weight, %p_getattr_getattr_l__self___encoder_layer___23___ffn___2___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.2244445Z     %add_357 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_357, %add_356), kwargs = {})
2025-03-21T20:23:47.2245079Z     %mul_191 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_357, %p_getattr_getattr_l__self___encoder_layer___23___ffn___2___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.2245693Z     %add_358 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_191, %p_getattr_getattr_l__self___encoder_layer___23___ffn___2___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.2246608Z     %linear_358 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_358, %p_getattr_l__self___encoder_layer___23___intermediate_dense_weight, %p_getattr_l__self___encoder_layer___23___intermediate_dense_bias), kwargs = {})
2025-03-21T20:23:47.2246971Z     %relu_95 : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%linear_358,), kwargs = {})
2025-03-21T20:23:47.2247821Z     %linear_359 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%relu_95, %p_getattr_l__self___encoder_layer___23___output_dense_weight, %p_getattr_l__self___encoder_layer___23___output_dense_bias), kwargs = {})
2025-03-21T20:23:47.2248208Z     %add_359 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%linear_359, %add_358), kwargs = {})
2025-03-21T20:23:47.2248771Z     %mul_192 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_359, %p_getattr_l__self___encoder_layer___23___output_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.2249344Z     %add_360 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_192, %p_getattr_l__self___encoder_layer___23___output_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.2250239Z     %linear_360 : [num_users=1] = call_function[target=torch.ops.aten.linear.default](args = (%add_360, %p_getattr_l__self___encoder_layer___23___output_bottleneck_dense_weight, %p_getattr_l__self___encoder_layer___23___output_bottleneck_dense_bias), kwargs = {})
2025-03-21T20:23:47.2250693Z     %dropout_48 : [num_users=1] = call_function[target=torch.ops.aten.dropout.default](args = (%linear_360, 0.0, False), kwargs = {})
2025-03-21T20:23:47.2251073Z     %add_361 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%dropout_48, %add_347), kwargs = {})
2025-03-21T20:23:47.2251682Z     %mul_193 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_361, %p_getattr_l__self___encoder_layer___23___output_bottleneck_layernorm_weight), kwargs = {})
2025-03-21T20:23:47.2252287Z     %add_362 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_193, %p_getattr_l__self___encoder_layer___23___output_bottleneck_layernorm_bias), kwargs = {})
2025-03-21T20:23:47.2252908Z     %lift_fresh_copy_23 : [num_users=1] = call_function[target=torch.ops.aten.lift_fresh_copy.default](args = (%c_getattr_l__self___encoder_layer___23___lifted_tensor_23,), kwargs = {})
2025-03-21T20:23:47.2253331Z     %detach__23 : [num_users=0] = call_function[target=torch.ops.aten.detach_.default](args = (%lift_fresh_copy_23,), kwargs = {})
2025-03-21T20:23:47.2253770Z     %slice_9 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%add_362, 0, 0, 9223372036854775807), kwargs = {})
2025-03-21T20:23:47.2254133Z     %select : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%slice_9, 1, 0), kwargs = {})
2025-03-21T20:23:47.2254263Z     return (add_362, select)
2025-03-21T20:23:47.2255732Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/export/_unlift.py:81: UserWarning: Attempted to insert a get_attr Node with no underlying reference in the owning GraphModule! Call GraphModule.add_submodule to add the necessary submodule, GraphModule.add_parameter to add the necessary Parameter, or nn.Module.register_buffer to add the necessary buffer
2025-03-21T20:23:47.2255894Z   getattr_node = gm.graph.get_attr(lifted_node)
2025-03-21T20:24:12.9502861Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py:1769: UserWarning: Node encoder_layer_0_lifted_tensor_0 target encoder.layer.0.lifted_tensor_0 lifted_tensor_0 of encoder.layer.0 does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target
2025-03-21T20:24:12.9505679Z   warnings.warn(
2025-03-21T20:24:12.9508206Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py:1769: UserWarning: Node encoder_layer_1_lifted_tensor_1 target encoder.layer.1.lifted_tensor_1 lifted_tensor_1 of encoder.layer.1 does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target
2025-03-21T20:24:12.9511270Z   warnings.warn(
2025-03-21T20:24:12.9513929Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py:1769: UserWarning: Node encoder_layer_2_lifted_tensor_2 target encoder.layer.2.lifted_tensor_2 lifted_tensor_2 of encoder.layer.2 does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target
2025-03-21T20:24:12.9516752Z   warnings.warn(
2025-03-21T20:24:12.9519364Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py:1769: UserWarning: Node encoder_layer_3_lifted_tensor_3 target encoder.layer.3.lifted_tensor_3 lifted_tensor_3 of encoder.layer.3 does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target
2025-03-21T20:24:12.9522173Z   warnings.warn(
2025-03-21T20:24:12.9524806Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py:1769: UserWarning: Node encoder_layer_4_lifted_tensor_4 target encoder.layer.4.lifted_tensor_4 lifted_tensor_4 of encoder.layer.4 does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target
2025-03-21T20:24:12.9527419Z   warnings.warn(
2025-03-21T20:24:12.9528856Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph.py:1778: UserWarning: Additional 19 warnings suppressed about get_attr references
2025-03-21T20:24:12.9530435Z   warnings.warn(
2025-03-21T20:24:12.9532968Z /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.)
2025-03-21T20:24:12.9535640Z   torch._C._set_onednn_allow_tf32(_allow_tf32)
2025-03-21T20:24:12.9536449Z [INFO 2025-03-21 20:24:12,948 utils.py:70] Exported graph:
2025-03-21T20:24:12.9537190Z ExportedProgram:
2025-03-21T20:24:12.9537694Z     class GraphModule(torch.nn.Module):
2025-03-21T20:24:12.9888964Z         def forward(self, p_embeddings_layernorm_bias: "f32[512]", p_embeddings_layernorm_weight: "f32[512]", p_embeddings_word_embeddings_weight: "f32[30522, 128]", p_embeddings_embedding_transformation_weight: "f32[512, 384]", p_embeddings_embedding_transformation_bias: "f32[512]", p_embeddings_position_embeddings_weight: "f32[512, 512]", p_embeddings_token_type_embeddings_weight: "f32[2, 512]", p_encoder_layer_0_attention_output_layernorm_bias: "f32[128]", p_encoder_layer_0_attention_output_layernorm_weight: "f32[128]", p_encoder_layer_0_attention_output_dense_weight: "f32[128, 128]", p_encoder_layer_0_attention_output_dense_bias: "f32[128]", p_encoder_layer_0_attention_self_query_weight: "f32[128, 128]", p_encoder_layer_0_attention_self_query_bias: "f32[128]", p_encoder_layer_0_attention_self_key_weight: "f32[128, 128]", p_encoder_layer_0_attention_self_key_bias: "f32[128]", p_encoder_layer_0_attention_self_value_weight: "f32[128, 512]", p_encoder_layer_0_attention_self_value_bias: "f32[128]", p_encoder_layer_0_output_layernorm_bias: "f32[128]", p_encoder_layer_0_output_layernorm_weight: "f32[128]", p_encoder_layer_0_output_bottleneck_layernorm_bias: "f32[512]", p_encoder_layer_0_output_bottleneck_layernorm_weight: "f32[512]", p_encoder_layer_0_output_bottleneck_dense_weight: "f32[512, 128]", p_encoder_layer_0_output_bottleneck_dense_bias: "f32[512]", p_encoder_layer_0_output_dense_weight: "f32[128, 512]", p_encoder_layer_0_output_dense_bias: "f32[128]", p_encoder_layer_0_bottleneck_input_layernorm_bias: "f32[128]", p_encoder_layer_0_bottleneck_input_layernorm_weight: "f32[128]", p_encoder_layer_0_bottleneck_input_dense_weight: "f32[128, 512]", p_encoder_layer_0_bottleneck_input_dense_bias: "f32[128]", p_encoder_layer_0_bottleneck_attention_layernorm_bias: "f32[128]", p_encoder_layer_0_bottleneck_attention_layernorm_weight: "f32[128]", p_encoder_layer_0_bottleneck_attention_dense_weight: "f32[128, 512]", p_encoder_layer_0_bottleneck_attention_dense_bias: "f32[128]", p_encoder_layer_0_ffn_0_output_layernorm_bias: "f32[128]", p_encoder_layer_0_ffn_0_output_layernorm_weight: "f32[128]", p_encoder_layer_0_ffn_0_output_dense_weight: "f32[128, 512]", p_encoder_layer_0_ffn_0_output_dense_bias: "f32[128]", p_encoder_layer_0_ffn_0_intermediate_dense_weight: "f32[512, 128]", p_encoder_layer_0_ffn_0_intermediate_dense_bias: "f32[512]", p_encoder_layer_0_ffn_1_output_layernorm_bias: "f32[128]", p_encoder_layer_0_ffn_1_output_layernorm_weight: "f32[128]", p_encoder_layer_0_ffn_1_output_dense_weight: "f32[128, 512]", p_encoder_layer_0_ffn_1_output_dense_bias: "f32[128]", p_encoder_layer_0_ffn_1_intermediate_dense_weight: "f32[512, 128]", p_encoder_layer_0_ffn_1_intermediate_dense_bias: "f32[512]", p_encoder_layer_0_ffn_2_output_layernorm_bias: "f32[128]", p_encoder_layer_0_ffn_2_output_layernorm_weight: "f32[128]", p_encoder_layer_0_ffn_2_output_dense_weight: "f32[128, 512]", p_encoder_layer_0_ffn_2_output_dense_bias: "f32[128]", p_encoder_layer_0_ffn_2_intermediate_dense_weight: "f32[512, 128]", p_encoder_layer_0_ffn_2_intermediate_dense_bias: "f32[512]", p_encoder_layer_0_intermediate_dense_weight: "f32[512, 128]", p_encoder_layer_0_intermediate_dense_bias: "f32[512]", p_encoder_layer_1_attention_output_layernorm_bias: "f32[128]", p_encoder_layer_1_attention_output_layernorm_weight: "f32[128]", p_encoder_layer_1_attention_output_dense_weight: "f32[128, 128]", p_encoder_layer_1_attention_output_dense_bias: "f32[128]", p_encoder_layer_1_attention_self_query_weight: "f32[128, 128]", p_encoder_layer_1_attention_self_query_bias: "f32[128]", p_encoder_layer_1_attention_self_key_weight: "f32[128, 128]", p_encoder_layer_1_attention_self_key_bias: "f32[128]", p_encoder_layer_1_attention_self_value_weight: "f32[128, 512]", p_encoder_layer_1_attention_self_value_bias: "f32[128]", p_encoder_layer_1_output_layernorm_bias: "f32[128]", p_encoder_layer_1_output_layernorm_weight: "f32[128]", p_encoder_layer_1_output_bottleneck_layernorm_bias: "f32[512]", p_encoder_layer_1_output_bottleneck_layernorm_weight: "f32[512]", p_encoder_layer_1_output_bottleneck_dense_weight: "f32[512, 128]", p_encoder_layer_1_output_bottleneck_dense_bias: "f32[512]", p_encoder_layer_1_output_dense_weight: "f32[128, 512]", p_encoder_layer_1_output_dense_bias: "f32[128]", p_encoder_layer_1_bottleneck_input_layernorm_bias: "f32[128]", p_encoder_layer_1_bottleneck_input_layernorm_weight: "f32[128]", p_encoder_layer_1_bottleneck_input_dense_weight: "f32[128, 512]", p_encoder_layer_1_bottleneck_input_dense_bias: "f32[128]", p_encoder_layer_1_bottleneck_attention_layernorm_bias: "f32[128]", p_encoder_layer_1_bottleneck_attention_layernorm_weight: "f32[128]", p_encoder_layer_1_bottleneck_attention_dense_weight: "f32[128, 512]", p_encoder_layer_1_bottleneck_attention_dense_bias: "f32[128]", p_encoder_layer_1_ffn_0_output_layernorm_bias: "f32[128]", p_encoder_layer_1_ffn_0_output_layernorm_weight: "f32[128]", p_encoder_layer_1_ffn_0_output_dense_weight: "f32[128, 512]", p_encoder_layer_1_ffn_0_output_dense_bias: "f32[128]", p_encoder_layer_1_ffn_0_intermediate_dense_weight: "f32[512, 128]", p_encoder_layer_1_ffn_0_intermediate_dense_bias: "f32[512]", p_encoder_layer_1_ffn_1_output_layernorm_bias: "f32[128]", p_encoder_layer_1_ffn_1_output_layernorm_weight: "f32[128]", p_encoder_layer_1_ffn_1_output_dense_weight: "f32[128, 512]", p_encoder_layer_1_ffn_1_output_dense_bias: "f32[128]", p_encoder_layer_1_ffn_1_intermediate_dense_weight: "f32[512, 128]", p_encoder_layer_1_ffn_1_intermediate_dense_bias: "f32[512]", p_encoder_layer_1_ffn_2_output_layernorm_bias: "f32[128]", p_encoder_layer_1_ffn_2_output_layernorm_weight: "f32[128]", p_encoder_layer_1_ffn_2_output_dense_weight: "f32[128, 512]", p_encoder_layer_1_ffn_2_output_dense_bias: "f32[128]", p_encoder_layer_1_ffn_2_intermediate_dense_weight: "f32[512, 128]", p_encoder_layer_1_ffn_2_intermediate_dense_bias: "f32[512]", p_encoder_layer_1_intermediate_dense_weight: "f32[512, 128]", p_encoder_layer_1_intermediate_dense_bias: "f32[512]", p_encoder_layer_2_attention_output_layernorm_bias: "f32[128]", p_encoder_layer_2_attention_output_layernorm_weight: "f32[128]", p_encoder_layer_2_attention_output_dense_weight: "f32[128, 128]", p_encoder_layer_2_attention_output_dense_bias: "f32[128]", p_encoder_layer_2_attention_self_query_weight: "f32[128, 128]", p_encoder_layer_2_attention_self_query_bias: "f32[128]", p_encoder_layer_2_attention_self_key_weight: "f32[128, 128]", p_encoder_layer_2_attention_self_key_bias: "f32[128]", p_encoder_layer_2_attention_self_value_weight: "f32[128, 512]", p_encoder_layer_2_attention_self_value_bias: "f32[128]", p_encoder_layer_2_output_layernorm_bias: "f32[128]", p_encoder_layer_2_output_layernorm_weight: "f32[128]", p_encoder_layer_2_output_bottleneck_layernorm_bias: "f32[512]", p_encoder_layer_2_output_bottleneck_layernorm_weight: "f32[512]", p_encoder_layer_2_output_bottleneck_dense_weight: "f32[512, 128]", p_encoder_layer_2_output_bottleneck_dense_bias: "f32[512]", p_encoder_layer_2_output_dense_weight: "f32[128, 512]", p_encoder_layer_2_output_dense_bias: "f32[128]", p_encoder_layer_2_bottleneck_input_layernorm_bias: "f32[128]", p_encoder_layer_2_bottleneck_input_layernorm_weight: "f32[128]", p_encoder_layer_2_bottleneck_input_dense_weight: "f32[128, 512]", p_encoder_layer_2_bottleneck_input_dense_bias: "f32[128]", p_encoder_layer_2_bottleneck_attention_layernorm_bias: "f32[128]", p_encoder_layer_2_bottleneck_attention_layernorm_weight: "f32[128]", p_encoder_layer_2_bottleneck_attention_dense_weight: "f32[128, 512]", p_encoder_layer_2_bottleneck_attention_dense_bias: "f32[128]", p_encoder_layer_2_ffn_0_output_layernorm_bias: "f32[128]", p_encoder_layer_2_ffn_0_output_layernorm_weight: "f32[128]", p_encoder_layer_2_ffn_0_output_dense_weight: "f32[128, 512]", p_encoder_layer_2_ffn_0_output_dense_bias: "f32[128]", p_encoder_layer_2_ffn_0_intermediate_dense_weight: "f32[512, 128]", p_encoder_layer_2_ffn_0_intermediate_dense_bias: "f32[512]", p_encoder_layer_2_ffn_1_output_layernorm_bias: "f32[128]", p_encoder_layer_2_ffn_1_output_layernorm_weight: "f32[128]", p_encoder_layer_2_ffn_1_output_dense_weight: "f32[128, 512]", p_encoder_layer_2_ffn_1_output_dense_bias: "f32[128]", p_encoder_layer_2_ffn_1_intermediate_dense_weight: "f32[512, 128]", p_encoder_layer_2_ffn_1_intermediate_dense_bias: "f32[512]", p_encoder_layer_2_ffn_2_output_layernorm_bias: "f32[128]", p_encoder_layer_2_ffn_2_output_layernorm_weight: "f32[128]", p_encoder_layer_2_ffn_2_output_dense_weight: "f32[128, 512]", p_encoder_layer_2_ffn_2_output_dense_bias: "f32[128]", p_encoder_layer_2_ffn_2_intermediate_dense_weight: "f32[512, 128]", p_encoder_layer_2_ffn_2_intermediate_dense_bias: "f32[512]", p_encoder_layer_2_intermediate_dense_weight: "f32[512, 128]", 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p_encoder_layer_3_output_bottleneck_dense_bias: "f32[512]", p_encoder_layer_3_output_dense_weight: "f32[128, 512]", p_encoder_layer_3_output_dense_bias: "f32[128]", p_encoder_layer_3_bottleneck_input_layernorm_bias: "f32[128]", p_encoder_layer_3_bottleneck_input_layernorm_weight: "f32[128]", p_encoder_layer_3_bottleneck_input_dense_weight: "f32[128, 512]", p_encoder_layer_3_bottleneck_input_dense_bias: "f32[128]", p_encoder_layer_3_bottleneck_attention_layernorm_bias: "f32[128]", p_encoder_layer_3_bottleneck_attention_layernorm_weight: "f32[128]", p_encoder_layer_3_bottleneck_attention_dense_weight: "f32[128, 512]", p_encoder_layer_3_bottleneck_attention_dense_bias: "f32[128]", p_encoder_layer_3_ffn_0_output_layernorm_bias: "f32[128]", p_encoder_layer_3_ffn_0_output_layernorm_weight: "f32[128]", p_encoder_layer_3_ffn_0_output_dense_weight: "f32[128, 512]", p_encoder_layer_3_ffn_0_output_dense_bias: "f32[128]", p_encoder_layer_3_ffn_0_intermediate_dense_weight: "f32[512, 128]", 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p_encoder_layer_22_output_dense_bias: "f32[128]", p_encoder_layer_22_bottleneck_input_layernorm_bias: "f32[128]", p_encoder_layer_22_bottleneck_input_layernorm_weight: "f32[128]", p_encoder_layer_22_bottleneck_input_dense_weight: "f32[128, 512]", p_encoder_layer_22_bottleneck_input_dense_bias: "f32[128]", p_encoder_layer_22_bottleneck_attention_layernorm_bias: "f32[128]", p_encoder_layer_22_bottleneck_attention_layernorm_weight: "f32[128]", p_encoder_layer_22_bottleneck_attention_dense_weight: "f32[128, 512]", p_encoder_layer_22_bottleneck_attention_dense_bias: "f32[128]", p_encoder_layer_22_ffn_0_output_layernorm_bias: "f32[128]", p_encoder_layer_22_ffn_0_output_layernorm_weight: "f32[128]", p_encoder_layer_22_ffn_0_output_dense_weight: "f32[128, 512]", p_encoder_layer_22_ffn_0_output_dense_bias: "f32[128]", p_encoder_layer_22_ffn_0_intermediate_dense_weight: "f32[512, 128]", p_encoder_layer_22_ffn_0_intermediate_dense_bias: "f32[512]", p_encoder_layer_22_ffn_1_output_layernorm_bias: "f32[128]", p_encoder_layer_22_ffn_1_output_layernorm_weight: "f32[128]", p_encoder_layer_22_ffn_1_output_dense_weight: "f32[128, 512]", p_encoder_layer_22_ffn_1_output_dense_bias: "f32[128]", p_encoder_layer_22_ffn_1_intermediate_dense_weight: "f32[512, 128]", p_encoder_layer_22_ffn_1_intermediate_dense_bias: "f32[512]", p_encoder_layer_22_ffn_2_output_layernorm_bias: "f32[128]", p_encoder_layer_22_ffn_2_output_layernorm_weight: "f32[128]", p_encoder_layer_22_ffn_2_output_dense_weight: "f32[128, 512]", p_encoder_layer_22_ffn_2_output_dense_bias: "f32[128]", p_encoder_layer_22_ffn_2_intermediate_dense_weight: "f32[512, 128]", p_encoder_layer_22_ffn_2_intermediate_dense_bias: "f32[512]", p_encoder_layer_22_intermediate_dense_weight: "f32[512, 128]", p_encoder_layer_22_intermediate_dense_bias: "f32[512]", p_encoder_layer_23_attention_output_layernorm_bias: "f32[128]", p_encoder_layer_23_attention_output_layernorm_weight: "f32[128]", p_encoder_layer_23_attention_output_dense_weight: "f32[128, 128]", p_encoder_layer_23_attention_output_dense_bias: "f32[128]", p_encoder_layer_23_attention_self_query_weight: "f32[128, 128]", p_encoder_layer_23_attention_self_query_bias: "f32[128]", p_encoder_layer_23_attention_self_key_weight: "f32[128, 128]", p_encoder_layer_23_attention_self_key_bias: "f32[128]", p_encoder_layer_23_attention_self_value_weight: "f32[128, 512]", p_encoder_layer_23_attention_self_value_bias: "f32[128]", p_encoder_layer_23_output_layernorm_bias: "f32[128]", p_encoder_layer_23_output_layernorm_weight: "f32[128]", p_encoder_layer_23_output_bottleneck_layernorm_bias: "f32[512]", p_encoder_layer_23_output_bottleneck_layernorm_weight: "f32[512]", p_encoder_layer_23_output_bottleneck_dense_weight: "f32[512, 128]", p_encoder_layer_23_output_bottleneck_dense_bias: "f32[512]", p_encoder_layer_23_output_dense_weight: "f32[128, 512]", p_encoder_layer_23_output_dense_bias: "f32[128]", p_encoder_layer_23_bottleneck_input_layernorm_bias: "f32[128]", p_encoder_layer_23_bottleneck_input_layernorm_weight: "f32[128]", p_encoder_layer_23_bottleneck_input_dense_weight: "f32[128, 512]", p_encoder_layer_23_bottleneck_input_dense_bias: "f32[128]", p_encoder_layer_23_bottleneck_attention_layernorm_bias: "f32[128]", p_encoder_layer_23_bottleneck_attention_layernorm_weight: "f32[128]", p_encoder_layer_23_bottleneck_attention_dense_weight: "f32[128, 512]", p_encoder_layer_23_bottleneck_attention_dense_bias: "f32[128]", p_encoder_layer_23_ffn_0_output_layernorm_bias: "f32[128]", p_encoder_layer_23_ffn_0_output_layernorm_weight: "f32[128]", p_encoder_layer_23_ffn_0_output_dense_weight: "f32[128, 512]", p_encoder_layer_23_ffn_0_output_dense_bias: "f32[128]", p_encoder_layer_23_ffn_0_intermediate_dense_weight: "f32[512, 128]", p_encoder_layer_23_ffn_0_intermediate_dense_bias: "f32[512]", p_encoder_layer_23_ffn_1_output_layernorm_bias: "f32[128]", p_encoder_layer_23_ffn_1_output_layernorm_weight: "f32[128]", p_encoder_layer_23_ffn_1_output_dense_weight: "f32[128, 512]", p_encoder_layer_23_ffn_1_output_dense_bias: "f32[128]", p_encoder_layer_23_ffn_1_intermediate_dense_weight: "f32[512, 128]", p_encoder_layer_23_ffn_1_intermediate_dense_bias: "f32[512]", p_encoder_layer_23_ffn_2_output_layernorm_bias: "f32[128]", p_encoder_layer_23_ffn_2_output_layernorm_weight: "f32[128]", p_encoder_layer_23_ffn_2_output_dense_weight: "f32[128, 512]", p_encoder_layer_23_ffn_2_output_dense_bias: "f32[128]", p_encoder_layer_23_ffn_2_intermediate_dense_weight: "f32[512, 128]", p_encoder_layer_23_ffn_2_intermediate_dense_bias: "f32[512]", p_encoder_layer_23_intermediate_dense_weight: "f32[512, 128]", p_encoder_layer_23_intermediate_dense_bias: "f32[512]", b_embeddings_position_ids: "i64[1, 512]", c_encoder_layer_0_lifted_tensor_0: "i64[]", c_encoder_layer_1_lifted_tensor_1: "i64[]", c_encoder_layer_2_lifted_tensor_2: "i64[]", c_encoder_layer_3_lifted_tensor_3: "i64[]", c_encoder_layer_4_lifted_tensor_4: "i64[]", c_encoder_layer_5_lifted_tensor_5: "i64[]", c_encoder_layer_6_lifted_tensor_6: "i64[]", c_encoder_layer_7_lifted_tensor_7: "i64[]", c_encoder_layer_8_lifted_tensor_8: "i64[]", c_encoder_layer_9_lifted_tensor_9: "i64[]", c_encoder_layer_10_lifted_tensor_10: "i64[]", c_encoder_layer_11_lifted_tensor_11: "i64[]", c_encoder_layer_12_lifted_tensor_12: "i64[]", c_encoder_layer_13_lifted_tensor_13: "i64[]", c_encoder_layer_14_lifted_tensor_14: "i64[]", c_encoder_layer_15_lifted_tensor_15: "i64[]", c_encoder_layer_16_lifted_tensor_16: "i64[]", c_encoder_layer_17_lifted_tensor_17: "i64[]", c_encoder_layer_18_lifted_tensor_18: "i64[]", c_encoder_layer_19_lifted_tensor_19: "i64[]", c_encoder_layer_20_lifted_tensor_20: "i64[]", c_encoder_layer_21_lifted_tensor_21: "i64[]", c_encoder_layer_22_lifted_tensor_22: "i64[]", c_encoder_layer_23_lifted_tensor_23: "i64[]", _lifted_tensor_constant1: "f32[]", _lifted_tensor_constant2: "f32[]", _lifted_tensor_constant3: "f32[]", _lifted_tensor_constant4: "f32[]", _lifted_tensor_constant5: "f32[]", _lifted_tensor_constant6: "f32[]", _lifted_tensor_constant7: "f32[]", _lifted_tensor_constant8: "f32[]", _lifted_tensor_constant9: "f32[]", _lifted_tensor_constant10: "f32[]", _lifted_tensor_constant11: "f32[]", _lifted_tensor_constant12: "f32[]", _lifted_tensor_constant13: "f32[]", _lifted_tensor_constant14: "f32[]", _lifted_tensor_constant15: "f32[]", _lifted_tensor_constant16: "f32[]", _lifted_tensor_constant17: "f32[]", _lifted_tensor_constant18: "f32[]", _lifted_tensor_constant19: "f32[]", _lifted_tensor_constant20: "f32[]", _lifted_tensor_constant21: "f32[]", _lifted_tensor_constant22: "f32[]", _lifted_tensor_constant23: "f32[]", _lifted_tensor_constant24: "f32[]", _lifted_tensor_constant25: "f32[]", _lifted_tensor_constant26: "f32[]", input_ids: "i64[1, 8]"):
2025-03-21T20:24:13.0138288Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:880 in forward, code: attention_mask = torch.ones(input_shape, device=device)
2025-03-21T20:24:13.0139881Z             aten_full_default: "f32[1, 8]" = executorch_exir_dialects_edge__ops_aten_full_default([1, 8], 1, dtype = torch.float32, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:24:13.0140745Z             
2025-03-21T20:24:13.0141750Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:882 in forward, code: token_type_ids = torch.zeros(input_shape, dtype=torch.long, device=device)
2025-03-21T20:24:13.0143527Z             aten_full_default_1: "i64[1, 8]" = executorch_exir_dialects_edge__ops_aten_full_default([1, 8], 0, dtype = torch.int64, layout = torch.strided, device = device(type='cpu'), pin_memory = False)
2025-03-21T20:24:13.0144367Z             
2025-03-21T20:24:13.0145312Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_utils.py:1129 in get_extended_attention_mask, code: extended_attention_mask = attention_mask[:, None, None, :]
2025-03-21T20:24:13.0146816Z             aten_unsqueeze_copy_default: "f32[1, 1, 8]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_full_default, 1);  aten_full_default = None
2025-03-21T20:24:13.0148110Z             aten_unsqueeze_copy_default_1: "f32[1, 1, 1, 8]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_unsqueeze_copy_default, 2);  aten_unsqueeze_copy_default = None
2025-03-21T20:24:13.0148941Z             
2025-03-21T20:24:13.0149934Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_utils.py:1141 in get_extended_attention_mask, code: extended_attention_mask = (1.0 - extended_attention_mask) * torch.finfo(dtype).min
2025-03-21T20:24:13.0151627Z             aten_sub_tensor: "f32[1, 1, 1, 8]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(_lifted_tensor_constant1, aten_unsqueeze_copy_default_1);  _lifted_tensor_constant1 = aten_unsqueeze_copy_default_1 = None
2025-03-21T20:24:13.0153154Z             aten_mul_tensor: "f32[1, 1, 1, 8]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_sub_tensor, _lifted_tensor_constant2);  aten_sub_tensor = _lifted_tensor_constant2 = None
2025-03-21T20:24:13.0153973Z             
2025-03-21T20:24:13.0154885Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:211 in forward, code: position_ids = self.position_ids[:, :seq_length]
2025-03-21T20:24:13.0156335Z             aten_slice_copy_tensor: "i64[1, 8]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(b_embeddings_position_ids, 1, 0, 8);  b_embeddings_position_ids = None
2025-03-21T20:24:13.0157117Z             
2025-03-21T20:24:13.0158008Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:216 in forward, code: inputs_embeds = self.word_embeddings(input_ids)
2025-03-21T20:24:13.0159633Z             aten_embedding_default: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_embedding_default(p_embeddings_word_embeddings_weight, input_ids, 0);  p_embeddings_word_embeddings_weight = input_ids = None
2025-03-21T20:24:13.0160587Z             
2025-03-21T20:24:13.0161567Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:228 in forward, code: nn.functional.pad(inputs_embeds[:, 1:], [0, 0, 0, 1, 0, 0], value=0.0),
2025-03-21T20:24:13.0163028Z             aten_slice_copy_tensor_1: "f32[1, 7, 128]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_embedding_default, 1, 1, 9223372036854775807)
2025-03-21T20:24:13.0163737Z             
2025-03-21T20:24:13.0164453Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py:5209 in pad, code: return torch._C._nn.pad(input, pad, mode, value)
2025-03-21T20:24:13.0165885Z             aten_constant_pad_nd_default: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_constant_pad_nd_default(aten_slice_copy_tensor_1, [0, 0, 0, 1, 0, 0], 0.0);  aten_slice_copy_tensor_1 = None
2025-03-21T20:24:13.0166732Z             
2025-03-21T20:24:13.0167719Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:230 in forward, code: nn.functional.pad(inputs_embeds[:, :-1], [0, 0, 1, 0, 0, 0], value=0.0),
2025-03-21T20:24:13.0169152Z             aten_slice_copy_tensor_2: "f32[1, 7, 128]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(aten_embedding_default, 1, 0, -1)
2025-03-21T20:24:13.0169820Z             
2025-03-21T20:24:13.0170540Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/functional.py:5209 in pad, code: return torch._C._nn.pad(input, pad, mode, value)
2025-03-21T20:24:13.0171868Z             aten_constant_pad_nd_default_1: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_constant_pad_nd_default(aten_slice_copy_tensor_2, [0, 0, 1, 0, 0, 0], 0.0);  aten_slice_copy_tensor_2 = None
2025-03-21T20:24:13.0172782Z             
2025-03-21T20:24:13.0173591Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:226 in forward, code: inputs_embeds = torch.cat(
2025-03-21T20:24:13.0175327Z             aten_cat_default: "f32[1, 8, 384]" = executorch_exir_dialects_edge__ops_aten_cat_default([aten_constant_pad_nd_default, aten_embedding_default, aten_constant_pad_nd_default_1], 2);  aten_constant_pad_nd_default = aten_embedding_default = aten_constant_pad_nd_default_1 = None
2025-03-21T20:24:13.0176501Z             
2025-03-21T20:24:13.0177459Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:235 in forward, code: inputs_embeds = self.embedding_transformation(inputs_embeds)
2025-03-21T20:24:13.0178905Z             aten_view_copy_default: "f32[8, 384]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_cat_default, [8, 384]);  aten_cat_default = None
2025-03-21T20:24:13.0180321Z             aten_permute_copy_default: "f32[384, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_embeddings_embedding_transformation_weight, [1, 0]);  p_embeddings_embedding_transformation_weight = None
2025-03-21T20:24:13.0182288Z             aten_addmm_default: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_embeddings_embedding_transformation_bias, aten_view_copy_default, aten_permute_copy_default);  p_embeddings_embedding_transformation_bias = aten_view_copy_default = aten_permute_copy_default = None
2025-03-21T20:24:13.0184031Z             aten_view_copy_default_1: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default, [1, 8, 512]);  aten_addmm_default = None
2025-03-21T20:24:13.0184787Z             
2025-03-21T20:24:13.0185759Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:239 in forward, code: position_embeddings = self.position_embeddings(position_ids)
2025-03-21T20:24:13.0187595Z             aten_embedding_default_1: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_embedding_default(p_embeddings_position_embeddings_weight, aten_slice_copy_tensor);  p_embeddings_position_embeddings_weight = aten_slice_copy_tensor = None
2025-03-21T20:24:13.0188693Z             
2025-03-21T20:24:13.0189680Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:240 in forward, code: token_type_embeddings = self.token_type_embeddings(token_type_ids)
2025-03-21T20:24:13.0191489Z             aten_embedding_default_2: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_embedding_default(p_embeddings_token_type_embeddings_weight, aten_full_default_1);  p_embeddings_token_type_embeddings_weight = aten_full_default_1 = None
2025-03-21T20:24:13.0192603Z             
2025-03-21T20:24:13.0193698Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:241 in forward, code: embeddings = inputs_embeds + position_embeddings + token_type_embeddings
2025-03-21T20:24:13.0195338Z             aten_add_tensor: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_1, aten_embedding_default_1);  aten_view_copy_default_1 = aten_embedding_default_1 = None
2025-03-21T20:24:13.0196764Z             aten_add_tensor_1: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_add_tensor, aten_embedding_default_2);  aten_add_tensor = aten_embedding_default_2 = None
2025-03-21T20:24:13.0197599Z             
2025-03-21T20:24:13.0198496Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.0200109Z             aten_mul_tensor_1: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_1, p_embeddings_layernorm_weight);  aten_add_tensor_1 = p_embeddings_layernorm_weight = None
2025-03-21T20:24:13.0201557Z             aten_add_tensor_2: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_1, p_embeddings_layernorm_bias);  aten_mul_tensor_1 = p_embeddings_layernorm_bias = None
2025-03-21T20:24:13.0202642Z             
2025-03-21T20:24:13.0203509Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:243 in forward, code: embeddings = self.dropout(embeddings)
2025-03-21T20:24:13.0204806Z             aten_clone_default: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_add_tensor_2);  aten_add_tensor_2 = None
2025-03-21T20:24:13.0205466Z             
2025-03-21T20:24:13.0206334Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:432 in forward, code: layer_input = self.dense(hidden_states)
2025-03-21T20:24:13.0207601Z             aten_view_copy_default_2: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default, [8, 512])
2025-03-21T20:24:13.0208913Z             aten_permute_copy_default_1: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_0_bottleneck_input_dense_weight, [1, 0]);  p_encoder_layer_0_bottleneck_input_dense_weight = None
2025-03-21T20:24:13.0210897Z             aten_addmm_default_1: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_0_bottleneck_input_dense_bias, aten_view_copy_default_2, aten_permute_copy_default_1);  p_encoder_layer_0_bottleneck_input_dense_bias = aten_view_copy_default_2 = aten_permute_copy_default_1 = None
2025-03-21T20:24:13.0212910Z             aten_view_copy_default_3: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_1, [1, 8, 128]);  aten_addmm_default_1 = None
2025-03-21T20:24:13.0213683Z             
2025-03-21T20:24:13.0214586Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.0216364Z             aten_mul_tensor_2: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_3, p_encoder_layer_0_bottleneck_input_layernorm_weight);  aten_view_copy_default_3 = p_encoder_layer_0_bottleneck_input_layernorm_weight = None
2025-03-21T20:24:13.0218182Z             aten_add_tensor_3: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_2, p_encoder_layer_0_bottleneck_input_layernorm_bias);  aten_mul_tensor_2 = p_encoder_layer_0_bottleneck_input_layernorm_bias = None
2025-03-21T20:24:13.0219292Z             
2025-03-21T20:24:13.0220194Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:432 in forward, code: layer_input = self.dense(hidden_states)
2025-03-21T20:24:13.0221501Z             aten_view_copy_default_4: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default, [8, 512])
2025-03-21T20:24:13.0222847Z             aten_permute_copy_default_2: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_0_bottleneck_attention_dense_weight, [1, 0]);  p_encoder_layer_0_bottleneck_attention_dense_weight = None
2025-03-21T20:24:13.0224980Z             aten_addmm_default_2: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_0_bottleneck_attention_dense_bias, aten_view_copy_default_4, aten_permute_copy_default_2);  p_encoder_layer_0_bottleneck_attention_dense_bias = aten_view_copy_default_4 = aten_permute_copy_default_2 = None
2025-03-21T20:24:13.0226866Z             aten_view_copy_default_5: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_2, [1, 8, 128]);  aten_addmm_default_2 = None
2025-03-21T20:24:13.0227632Z             
2025-03-21T20:24:13.0228556Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.0230351Z             aten_mul_tensor_3: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_5, p_encoder_layer_0_bottleneck_attention_layernorm_weight);  aten_view_copy_default_5 = p_encoder_layer_0_bottleneck_attention_layernorm_weight = None
2025-03-21T20:24:13.0232225Z             aten_add_tensor_4: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_3, p_encoder_layer_0_bottleneck_attention_layernorm_bias);  aten_mul_tensor_3 = p_encoder_layer_0_bottleneck_attention_layernorm_bias = None
2025-03-21T20:24:13.0233356Z             
2025-03-21T20:24:13.0234253Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:275 in forward, code: mixed_query_layer = self.query(query_tensor)
2025-03-21T20:24:13.0235539Z             aten_view_copy_default_6: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_4, [8, 128])
2025-03-21T20:24:13.0236829Z             aten_permute_copy_default_3: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_0_attention_self_query_weight, [1, 0]);  p_encoder_layer_0_attention_self_query_weight = None
2025-03-21T20:24:13.0238783Z             aten_addmm_default_3: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_0_attention_self_query_bias, aten_view_copy_default_6, aten_permute_copy_default_3);  p_encoder_layer_0_attention_self_query_bias = aten_view_copy_default_6 = aten_permute_copy_default_3 = None
2025-03-21T20:24:13.0240620Z             aten_view_copy_default_7: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_3, [1, 8, 128]);  aten_addmm_default_3 = None
2025-03-21T20:24:13.0241396Z             
2025-03-21T20:24:13.0242263Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:276 in forward, code: mixed_key_layer = self.key(key_tensor)
2025-03-21T20:24:13.0243633Z             aten_view_copy_default_8: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_4, [8, 128]);  aten_add_tensor_4 = None
2025-03-21T20:24:13.0244997Z             aten_permute_copy_default_4: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_0_attention_self_key_weight, [1, 0]);  p_encoder_layer_0_attention_self_key_weight = None
2025-03-21T20:24:13.0246929Z             aten_addmm_default_4: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_0_attention_self_key_bias, aten_view_copy_default_8, aten_permute_copy_default_4);  p_encoder_layer_0_attention_self_key_bias = aten_view_copy_default_8 = aten_permute_copy_default_4 = None
2025-03-21T20:24:13.0248654Z             aten_view_copy_default_9: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_4, [1, 8, 128]);  aten_addmm_default_4 = None
2025-03-21T20:24:13.0249486Z             
2025-03-21T20:24:13.0250378Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:277 in forward, code: mixed_value_layer = self.value(value_tensor)
2025-03-21T20:24:13.0251722Z             aten_view_copy_default_10: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default, [8, 512])
2025-03-21T20:24:13.0253076Z             aten_permute_copy_default_5: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_0_attention_self_value_weight, [1, 0]);  p_encoder_layer_0_attention_self_value_weight = None
2025-03-21T20:24:13.0255017Z             aten_addmm_default_5: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_0_attention_self_value_bias, aten_view_copy_default_10, aten_permute_copy_default_5);  p_encoder_layer_0_attention_self_value_bias = aten_view_copy_default_10 = aten_permute_copy_default_5 = None
2025-03-21T20:24:13.0256765Z             aten_view_copy_default_11: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_5, [1, 8, 128]);  aten_addmm_default_5 = None
2025-03-21T20:24:13.0257553Z             
2025-03-21T20:24:13.0258421Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.0259833Z             aten_view_copy_default_12: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_7, [1, 8, 4, 32]);  aten_view_copy_default_7 = None
2025-03-21T20:24:13.0260624Z             
2025-03-21T20:24:13.0261492Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.0262953Z             aten_permute_copy_default_6: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_12, [0, 2, 1, 3]);  aten_view_copy_default_12 = None
2025-03-21T20:24:13.0263780Z             
2025-03-21T20:24:13.0264637Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.0266050Z             aten_view_copy_default_13: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_9, [1, 8, 4, 32]);  aten_view_copy_default_9 = None
2025-03-21T20:24:13.0266868Z             
2025-03-21T20:24:13.0268037Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.0269509Z             aten_permute_copy_default_7: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_13, [0, 2, 1, 3]);  aten_view_copy_default_13 = None
2025-03-21T20:24:13.0270345Z             
2025-03-21T20:24:13.0271197Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.0272612Z             aten_view_copy_default_14: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_11, [1, 8, 4, 32]);  aten_view_copy_default_11 = None
2025-03-21T20:24:13.0273561Z             
2025-03-21T20:24:13.0274446Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.0275914Z             aten_permute_copy_default_8: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_14, [0, 2, 1, 3]);  aten_view_copy_default_14 = None
2025-03-21T20:24:13.0276830Z             
2025-03-21T20:24:13.0277846Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:284 in forward, code: attention_scores = torch.matmul(query_layer, key_layer.transpose(-1, -2))
2025-03-21T20:24:13.0279465Z             aten_permute_copy_default_9: "f32[1, 4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_permute_copy_default_7, [0, 1, 3, 2]);  aten_permute_copy_default_7 = None
2025-03-21T20:24:13.0280936Z             aten_expand_copy_default: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_6, [1, 4, 8, 32]);  aten_permute_copy_default_6 = None
2025-03-21T20:24:13.0282247Z             aten_view_copy_default_15: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default, [4, 8, 32]);  aten_expand_copy_default = None
2025-03-21T20:24:13.0283562Z             aten_expand_copy_default_1: "f32[1, 4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_9, [1, 4, 32, 8]);  aten_permute_copy_default_9 = None
2025-03-21T20:24:13.0284884Z             aten_view_copy_default_16: "f32[4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_1, [4, 32, 8]);  aten_expand_copy_default_1 = None
2025-03-21T20:24:13.0286274Z             aten_bmm_default: "f32[4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_15, aten_view_copy_default_16);  aten_view_copy_default_15 = aten_view_copy_default_16 = None
2025-03-21T20:24:13.0287593Z             aten_view_copy_default_17: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default, [1, 4, 8, 8]);  aten_bmm_default = None
2025-03-21T20:24:13.0288328Z             
2025-03-21T20:24:13.0289326Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:285 in forward, code: attention_scores = attention_scores / math.sqrt(self.attention_head_size)
2025-03-21T20:24:13.0291035Z             aten_div_tensor: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_div_Tensor(aten_view_copy_default_17, _lifted_tensor_constant3);  aten_view_copy_default_17 = _lifted_tensor_constant3 = None
2025-03-21T20:24:13.0291930Z             
2025-03-21T20:24:13.0292857Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:288 in forward, code: attention_scores = attention_scores + attention_mask
2025-03-21T20:24:13.0294227Z             aten_add_tensor_5: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_div_tensor, aten_mul_tensor);  aten_div_tensor = None
2025-03-21T20:24:13.0294917Z             
2025-03-21T20:24:13.0295904Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:290 in forward, code: attention_probs = nn.functional.softmax(attention_scores, dim=-1)
2025-03-21T20:24:13.0297371Z             aten__softmax_default: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten__softmax_default(aten_add_tensor_5, -1, False);  aten_add_tensor_5 = None
2025-03-21T20:24:13.0298107Z             
2025-03-21T20:24:13.0299061Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:293 in forward, code: attention_probs = self.dropout(attention_probs)
2025-03-21T20:24:13.0300443Z             aten_clone_default_1: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten__softmax_default);  aten__softmax_default = None
2025-03-21T20:24:13.0301164Z             
2025-03-21T20:24:13.0302321Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:297 in forward, code: context_layer = torch.matmul(attention_probs, value_layer)
2025-03-21T20:24:13.0303907Z             aten_expand_copy_default_2: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_clone_default_1, [1, 4, 8, 8]);  aten_clone_default_1 = None
2025-03-21T20:24:13.0305177Z             aten_view_copy_default_18: "f32[4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_2, [4, 8, 8]);  aten_expand_copy_default_2 = None
2025-03-21T20:24:13.0306574Z             aten_expand_copy_default_3: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_8, [1, 4, 8, 32]);  aten_permute_copy_default_8 = None
2025-03-21T20:24:13.0307882Z             aten_view_copy_default_19: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_3, [4, 8, 32]);  aten_expand_copy_default_3 = None
2025-03-21T20:24:13.0309265Z             aten_bmm_default_1: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_18, aten_view_copy_default_19);  aten_view_copy_default_18 = aten_view_copy_default_19 = None
2025-03-21T20:24:13.0310601Z             aten_view_copy_default_20: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_1, [1, 4, 8, 32]);  aten_bmm_default_1 = None
2025-03-21T20:24:13.0311357Z             
2025-03-21T20:24:13.0312330Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:298 in forward, code: context_layer = context_layer.permute(0, 2, 1, 3).contiguous()
2025-03-21T20:24:13.0313959Z             aten_permute_copy_default_10: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_20, [0, 2, 1, 3]);  aten_view_copy_default_20 = None
2025-03-21T20:24:13.0315388Z             aten_clone_default_2: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_permute_copy_default_10, memory_format = torch.contiguous_format);  aten_permute_copy_default_10 = None
2025-03-21T20:24:13.0316304Z             
2025-03-21T20:24:13.0317254Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:300 in forward, code: context_layer = context_layer.view(new_context_layer_shape)
2025-03-21T20:24:13.0318727Z             aten_view_copy_default_21: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_2, [1, 8, 128]);  aten_clone_default_2 = None
2025-03-21T20:24:13.0319486Z             
2025-03-21T20:24:13.0320373Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:315 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.0321805Z             aten_view_copy_default_22: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_21, [8, 128]);  aten_view_copy_default_21 = None
2025-03-21T20:24:13.0323271Z             aten_permute_copy_default_11: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_0_attention_output_dense_weight, [1, 0]);  p_encoder_layer_0_attention_output_dense_weight = None
2025-03-21T20:24:13.0325257Z             aten_addmm_default_6: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_0_attention_output_dense_bias, aten_view_copy_default_22, aten_permute_copy_default_11);  p_encoder_layer_0_attention_output_dense_bias = aten_view_copy_default_22 = aten_permute_copy_default_11 = None
2025-03-21T20:24:13.0327077Z             aten_view_copy_default_23: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_6, [1, 8, 128]);  aten_addmm_default_6 = None
2025-03-21T20:24:13.0327839Z             
2025-03-21T20:24:13.0328813Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:318 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.0330404Z             aten_add_tensor_6: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_23, aten_add_tensor_3);  aten_view_copy_default_23 = aten_add_tensor_3 = None
2025-03-21T20:24:13.0331227Z             
2025-03-21T20:24:13.0332121Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.0333870Z             aten_mul_tensor_4: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_6, p_encoder_layer_0_attention_output_layernorm_weight);  aten_add_tensor_6 = p_encoder_layer_0_attention_output_layernorm_weight = None
2025-03-21T20:24:13.0335698Z             aten_add_tensor_7: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_4, p_encoder_layer_0_attention_output_layernorm_bias);  aten_mul_tensor_4 = p_encoder_layer_0_attention_output_layernorm_bias = None
2025-03-21T20:24:13.0336724Z             
2025-03-21T20:24:13.0337602Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.0338879Z             aten_view_copy_default_24: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_7, [8, 128])
2025-03-21T20:24:13.0340203Z             aten_permute_copy_default_12: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_0_ffn_0_intermediate_dense_weight, [1, 0]);  p_encoder_layer_0_ffn_0_intermediate_dense_weight = None
2025-03-21T20:24:13.0342261Z             aten_addmm_default_7: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_0_ffn_0_intermediate_dense_bias, aten_view_copy_default_24, aten_permute_copy_default_12);  p_encoder_layer_0_ffn_0_intermediate_dense_bias = aten_view_copy_default_24 = aten_permute_copy_default_12 = None
2025-03-21T20:24:13.0344048Z             aten_view_copy_default_25: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_7, [1, 8, 512]);  aten_addmm_default_7 = None
2025-03-21T20:24:13.0344805Z             
2025-03-21T20:24:13.0345754Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.0347181Z             aten_relu_default: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_25);  aten_view_copy_default_25 = None
2025-03-21T20:24:13.0347902Z             
2025-03-21T20:24:13.0348779Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.0350152Z             aten_view_copy_default_26: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default, [8, 512]);  aten_relu_default = None
2025-03-21T20:24:13.0351515Z             aten_permute_copy_default_13: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_0_ffn_0_output_dense_weight, [1, 0]);  p_encoder_layer_0_ffn_0_output_dense_weight = None
2025-03-21T20:24:13.0353527Z             aten_addmm_default_8: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_0_ffn_0_output_dense_bias, aten_view_copy_default_26, aten_permute_copy_default_13);  p_encoder_layer_0_ffn_0_output_dense_bias = aten_view_copy_default_26 = aten_permute_copy_default_13 = None
2025-03-21T20:24:13.0355238Z             aten_view_copy_default_27: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_8, [1, 8, 128]);  aten_addmm_default_8 = None
2025-03-21T20:24:13.0356025Z             
2025-03-21T20:24:13.0356995Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.0358560Z             aten_add_tensor_8: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_27, aten_add_tensor_7);  aten_view_copy_default_27 = aten_add_tensor_7 = None
2025-03-21T20:24:13.0359442Z             
2025-03-21T20:24:13.0360337Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.0361992Z             aten_mul_tensor_5: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_8, p_encoder_layer_0_ffn_0_output_layernorm_weight);  aten_add_tensor_8 = p_encoder_layer_0_ffn_0_output_layernorm_weight = None
2025-03-21T20:24:13.0363659Z             aten_add_tensor_9: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_5, p_encoder_layer_0_ffn_0_output_layernorm_bias);  aten_mul_tensor_5 = p_encoder_layer_0_ffn_0_output_layernorm_bias = None
2025-03-21T20:24:13.0364640Z             
2025-03-21T20:24:13.0365521Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.0366784Z             aten_view_copy_default_28: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_9, [8, 128])
2025-03-21T20:24:13.0368097Z             aten_permute_copy_default_14: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_0_ffn_1_intermediate_dense_weight, [1, 0]);  p_encoder_layer_0_ffn_1_intermediate_dense_weight = None
2025-03-21T20:24:13.0370102Z             aten_addmm_default_9: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_0_ffn_1_intermediate_dense_bias, aten_view_copy_default_28, aten_permute_copy_default_14);  p_encoder_layer_0_ffn_1_intermediate_dense_bias = aten_view_copy_default_28 = aten_permute_copy_default_14 = None
2025-03-21T20:24:13.0371867Z             aten_view_copy_default_29: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_9, [1, 8, 512]);  aten_addmm_default_9 = None
2025-03-21T20:24:13.0372641Z             
2025-03-21T20:24:13.0373583Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.0375003Z             aten_relu_default_1: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_29);  aten_view_copy_default_29 = None
2025-03-21T20:24:13.0375723Z             
2025-03-21T20:24:13.0376603Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.0378011Z             aten_view_copy_default_30: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_1, [8, 512]);  aten_relu_default_1 = None
2025-03-21T20:24:13.0379391Z             aten_permute_copy_default_15: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_0_ffn_1_output_dense_weight, [1, 0]);  p_encoder_layer_0_ffn_1_output_dense_weight = None
2025-03-21T20:24:13.0381280Z             aten_addmm_default_10: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_0_ffn_1_output_dense_bias, aten_view_copy_default_30, aten_permute_copy_default_15);  p_encoder_layer_0_ffn_1_output_dense_bias = aten_view_copy_default_30 = aten_permute_copy_default_15 = None
2025-03-21T20:24:13.0383020Z             aten_view_copy_default_31: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_10, [1, 8, 128]);  aten_addmm_default_10 = None
2025-03-21T20:24:13.0383789Z             
2025-03-21T20:24:13.0384754Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.0386359Z             aten_add_tensor_10: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_31, aten_add_tensor_9);  aten_view_copy_default_31 = aten_add_tensor_9 = None
2025-03-21T20:24:13.0387193Z             
2025-03-21T20:24:13.0388086Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.0389749Z             aten_mul_tensor_6: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_10, p_encoder_layer_0_ffn_1_output_layernorm_weight);  aten_add_tensor_10 = p_encoder_layer_0_ffn_1_output_layernorm_weight = None
2025-03-21T20:24:13.0391420Z             aten_add_tensor_11: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_6, p_encoder_layer_0_ffn_1_output_layernorm_bias);  aten_mul_tensor_6 = p_encoder_layer_0_ffn_1_output_layernorm_bias = None
2025-03-21T20:24:13.0392391Z             
2025-03-21T20:24:13.0393353Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.0394641Z             aten_view_copy_default_32: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_11, [8, 128])
2025-03-21T20:24:13.0395972Z             aten_permute_copy_default_16: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_0_ffn_2_intermediate_dense_weight, [1, 0]);  p_encoder_layer_0_ffn_2_intermediate_dense_weight = None
2025-03-21T20:24:13.0397992Z             aten_addmm_default_11: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_0_ffn_2_intermediate_dense_bias, aten_view_copy_default_32, aten_permute_copy_default_16);  p_encoder_layer_0_ffn_2_intermediate_dense_bias = aten_view_copy_default_32 = aten_permute_copy_default_16 = None
2025-03-21T20:24:13.0399799Z             aten_view_copy_default_33: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_11, [1, 8, 512]);  aten_addmm_default_11 = None
2025-03-21T20:24:13.0400579Z             
2025-03-21T20:24:13.0401531Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.0403182Z             aten_relu_default_2: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_33);  aten_view_copy_default_33 = None
2025-03-21T20:24:13.0403894Z             
2025-03-21T20:24:13.0404878Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.0406278Z             aten_view_copy_default_34: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_2, [8, 512]);  aten_relu_default_2 = None
2025-03-21T20:24:13.0407727Z             aten_permute_copy_default_17: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_0_ffn_2_output_dense_weight, [1, 0]);  p_encoder_layer_0_ffn_2_output_dense_weight = None
2025-03-21T20:24:13.0409662Z             aten_addmm_default_12: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_0_ffn_2_output_dense_bias, aten_view_copy_default_34, aten_permute_copy_default_17);  p_encoder_layer_0_ffn_2_output_dense_bias = aten_view_copy_default_34 = aten_permute_copy_default_17 = None
2025-03-21T20:24:13.0411384Z             aten_view_copy_default_35: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_12, [1, 8, 128]);  aten_addmm_default_12 = None
2025-03-21T20:24:13.0412159Z             
2025-03-21T20:24:13.0413188Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.0414764Z             aten_add_tensor_12: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_35, aten_add_tensor_11);  aten_view_copy_default_35 = aten_add_tensor_11 = None
2025-03-21T20:24:13.0415606Z             
2025-03-21T20:24:13.0416482Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.0418145Z             aten_mul_tensor_7: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_12, p_encoder_layer_0_ffn_2_output_layernorm_weight);  aten_add_tensor_12 = p_encoder_layer_0_ffn_2_output_layernorm_weight = None
2025-03-21T20:24:13.0419815Z             aten_add_tensor_13: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_7, p_encoder_layer_0_ffn_2_output_layernorm_bias);  aten_mul_tensor_7 = p_encoder_layer_0_ffn_2_output_layernorm_bias = None
2025-03-21T20:24:13.0420795Z             
2025-03-21T20:24:13.0421670Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.0422948Z             aten_view_copy_default_36: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_13, [8, 128])
2025-03-21T20:24:13.0424223Z             aten_permute_copy_default_18: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_0_intermediate_dense_weight, [1, 0]);  p_encoder_layer_0_intermediate_dense_weight = None
2025-03-21T20:24:13.0426160Z             aten_addmm_default_13: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_0_intermediate_dense_bias, aten_view_copy_default_36, aten_permute_copy_default_18);  p_encoder_layer_0_intermediate_dense_bias = aten_view_copy_default_36 = aten_permute_copy_default_18 = None
2025-03-21T20:24:13.0427908Z             aten_view_copy_default_37: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_13, [1, 8, 512]);  aten_addmm_default_13 = None
2025-03-21T20:24:13.0428679Z             
2025-03-21T20:24:13.0429602Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.0431054Z             aten_relu_default_3: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_37);  aten_view_copy_default_37 = None
2025-03-21T20:24:13.0431776Z             
2025-03-21T20:24:13.0432677Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:415 in forward, code: layer_output = self.dense(intermediate_states)
2025-03-21T20:24:13.0434178Z             aten_view_copy_default_38: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_3, [8, 512]);  aten_relu_default_3 = None
2025-03-21T20:24:13.0435562Z             aten_permute_copy_default_19: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_0_output_dense_weight, [1, 0]);  p_encoder_layer_0_output_dense_weight = None
2025-03-21T20:24:13.0437385Z             aten_addmm_default_14: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_0_output_dense_bias, aten_view_copy_default_38, aten_permute_copy_default_19);  p_encoder_layer_0_output_dense_bias = aten_view_copy_default_38 = aten_permute_copy_default_19 = None
2025-03-21T20:24:13.0439120Z             aten_view_copy_default_39: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_14, [1, 8, 128]);  aten_addmm_default_14 = None
2025-03-21T20:24:13.0439894Z             
2025-03-21T20:24:13.0440844Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:420 in forward, code: layer_output = self.LayerNorm(layer_output + residual_tensor_1)
2025-03-21T20:24:13.0442416Z             aten_add_tensor_14: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_39, aten_add_tensor_13);  aten_view_copy_default_39 = aten_add_tensor_13 = None
2025-03-21T20:24:13.0443258Z             
2025-03-21T20:24:13.0444152Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.0445774Z             aten_mul_tensor_8: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_14, p_encoder_layer_0_output_layernorm_weight);  aten_add_tensor_14 = p_encoder_layer_0_output_layernorm_weight = None
2025-03-21T20:24:13.0447376Z             aten_add_tensor_15: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_8, p_encoder_layer_0_output_layernorm_bias);  aten_mul_tensor_8 = p_encoder_layer_0_output_layernorm_bias = None
2025-03-21T20:24:13.0448324Z             
2025-03-21T20:24:13.0449202Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:395 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.0450577Z             aten_view_copy_default_40: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_15, [8, 128]);  aten_add_tensor_15 = None
2025-03-21T20:24:13.0451983Z             aten_permute_copy_default_20: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_0_output_bottleneck_dense_weight, [1, 0]);  p_encoder_layer_0_output_bottleneck_dense_weight = None
2025-03-21T20:24:13.0453980Z             aten_addmm_default_15: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_0_output_bottleneck_dense_bias, aten_view_copy_default_40, aten_permute_copy_default_20);  p_encoder_layer_0_output_bottleneck_dense_bias = aten_view_copy_default_40 = aten_permute_copy_default_20 = None
2025-03-21T20:24:13.0455756Z             aten_view_copy_default_41: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_15, [1, 8, 512]);  aten_addmm_default_15 = None
2025-03-21T20:24:13.0456558Z             
2025-03-21T20:24:13.0457447Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:396 in forward, code: layer_outputs = self.dropout(layer_outputs)
2025-03-21T20:24:13.0458836Z             aten_clone_default_3: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_41);  aten_view_copy_default_41 = None
2025-03-21T20:24:13.0459575Z             
2025-03-21T20:24:13.0460541Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:397 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.0462116Z             aten_add_tensor_16: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_3, aten_clone_default);  aten_clone_default_3 = aten_clone_default = None
2025-03-21T20:24:13.0462922Z             
2025-03-21T20:24:13.0463814Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.0465583Z             aten_mul_tensor_9: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_16, p_encoder_layer_0_output_bottleneck_layernorm_weight);  aten_add_tensor_16 = p_encoder_layer_0_output_bottleneck_layernorm_weight = None
2025-03-21T20:24:13.0467368Z             aten_add_tensor_17: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_9, p_encoder_layer_0_output_bottleneck_layernorm_bias);  aten_mul_tensor_9 = p_encoder_layer_0_output_bottleneck_layernorm_bias = None
2025-03-21T20:24:13.0468400Z             
2025-03-21T20:24:13.0469279Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:432 in forward, code: layer_input = self.dense(hidden_states)
2025-03-21T20:24:13.0470670Z             aten_view_copy_default_42: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_17, [8, 512])
2025-03-21T20:24:13.0471985Z             aten_permute_copy_default_21: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_1_bottleneck_input_dense_weight, [1, 0]);  p_encoder_layer_1_bottleneck_input_dense_weight = None
2025-03-21T20:24:13.0474067Z             aten_addmm_default_16: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_1_bottleneck_input_dense_bias, aten_view_copy_default_42, aten_permute_copy_default_21);  p_encoder_layer_1_bottleneck_input_dense_bias = aten_view_copy_default_42 = aten_permute_copy_default_21 = None
2025-03-21T20:24:13.0475840Z             aten_view_copy_default_43: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_16, [1, 8, 128]);  aten_addmm_default_16 = None
2025-03-21T20:24:13.0476611Z             
2025-03-21T20:24:13.0477499Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.0479278Z             aten_mul_tensor_10: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_43, p_encoder_layer_1_bottleneck_input_layernorm_weight);  aten_view_copy_default_43 = p_encoder_layer_1_bottleneck_input_layernorm_weight = None
2025-03-21T20:24:13.0481113Z             aten_add_tensor_18: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_10, p_encoder_layer_1_bottleneck_input_layernorm_bias);  aten_mul_tensor_10 = p_encoder_layer_1_bottleneck_input_layernorm_bias = None
2025-03-21T20:24:13.0482142Z             
2025-03-21T20:24:13.0483016Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:432 in forward, code: layer_input = self.dense(hidden_states)
2025-03-21T20:24:13.0484334Z             aten_view_copy_default_44: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_17, [8, 512])
2025-03-21T20:24:13.0485684Z             aten_permute_copy_default_22: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_1_bottleneck_attention_dense_weight, [1, 0]);  p_encoder_layer_1_bottleneck_attention_dense_weight = None
2025-03-21T20:24:13.0487742Z             aten_addmm_default_17: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_1_bottleneck_attention_dense_bias, aten_view_copy_default_44, aten_permute_copy_default_22);  p_encoder_layer_1_bottleneck_attention_dense_bias = aten_view_copy_default_44 = aten_permute_copy_default_22 = None
2025-03-21T20:24:13.0489577Z             aten_view_copy_default_45: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_17, [1, 8, 128]);  aten_addmm_default_17 = None
2025-03-21T20:24:13.0490347Z             
2025-03-21T20:24:13.0491298Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.0493229Z             aten_mul_tensor_11: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_45, p_encoder_layer_1_bottleneck_attention_layernorm_weight);  aten_view_copy_default_45 = p_encoder_layer_1_bottleneck_attention_layernorm_weight = None
2025-03-21T20:24:13.0495135Z             aten_add_tensor_19: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_11, p_encoder_layer_1_bottleneck_attention_layernorm_bias);  aten_mul_tensor_11 = p_encoder_layer_1_bottleneck_attention_layernorm_bias = None
2025-03-21T20:24:13.0496199Z             
2025-03-21T20:24:13.0497088Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:275 in forward, code: mixed_query_layer = self.query(query_tensor)
2025-03-21T20:24:13.0498382Z             aten_view_copy_default_46: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_19, [8, 128])
2025-03-21T20:24:13.0499675Z             aten_permute_copy_default_23: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_1_attention_self_query_weight, [1, 0]);  p_encoder_layer_1_attention_self_query_weight = None
2025-03-21T20:24:13.0501618Z             aten_addmm_default_18: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_1_attention_self_query_bias, aten_view_copy_default_46, aten_permute_copy_default_23);  p_encoder_layer_1_attention_self_query_bias = aten_view_copy_default_46 = aten_permute_copy_default_23 = None
2025-03-21T20:24:13.0504259Z             aten_view_copy_default_47: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_18, [1, 8, 128]);  aten_addmm_default_18 = None
2025-03-21T20:24:13.0505037Z             
2025-03-21T20:24:13.0505916Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:276 in forward, code: mixed_key_layer = self.key(key_tensor)
2025-03-21T20:24:13.0507268Z             aten_view_copy_default_48: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_19, [8, 128]);  aten_add_tensor_19 = None
2025-03-21T20:24:13.0508644Z             aten_permute_copy_default_24: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_1_attention_self_key_weight, [1, 0]);  p_encoder_layer_1_attention_self_key_weight = None
2025-03-21T20:24:13.0510547Z             aten_addmm_default_19: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_1_attention_self_key_bias, aten_view_copy_default_48, aten_permute_copy_default_24);  p_encoder_layer_1_attention_self_key_bias = aten_view_copy_default_48 = aten_permute_copy_default_24 = None
2025-03-21T20:24:13.0512380Z             aten_view_copy_default_49: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_19, [1, 8, 128]);  aten_addmm_default_19 = None
2025-03-21T20:24:13.0513265Z             
2025-03-21T20:24:13.0514159Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:277 in forward, code: mixed_value_layer = self.value(value_tensor)
2025-03-21T20:24:13.0515494Z             aten_view_copy_default_50: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_17, [8, 512])
2025-03-21T20:24:13.0516788Z             aten_permute_copy_default_25: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_1_attention_self_value_weight, [1, 0]);  p_encoder_layer_1_attention_self_value_weight = None
2025-03-21T20:24:13.0518806Z             aten_addmm_default_20: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_1_attention_self_value_bias, aten_view_copy_default_50, aten_permute_copy_default_25);  p_encoder_layer_1_attention_self_value_bias = aten_view_copy_default_50 = aten_permute_copy_default_25 = None
2025-03-21T20:24:13.0520572Z             aten_view_copy_default_51: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_20, [1, 8, 128]);  aten_addmm_default_20 = None
2025-03-21T20:24:13.0521349Z             
2025-03-21T20:24:13.0522198Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.0523614Z             aten_view_copy_default_52: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_47, [1, 8, 4, 32]);  aten_view_copy_default_47 = None
2025-03-21T20:24:13.0524411Z             
2025-03-21T20:24:13.0525297Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.0526766Z             aten_permute_copy_default_26: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_52, [0, 2, 1, 3]);  aten_view_copy_default_52 = None
2025-03-21T20:24:13.0527584Z             
2025-03-21T20:24:13.0528449Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.0529862Z             aten_view_copy_default_53: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_49, [1, 8, 4, 32]);  aten_view_copy_default_49 = None
2025-03-21T20:24:13.0530648Z             
2025-03-21T20:24:13.0531525Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.0533204Z             aten_permute_copy_default_27: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_53, [0, 2, 1, 3]);  aten_view_copy_default_53 = None
2025-03-21T20:24:13.0534031Z             
2025-03-21T20:24:13.0534887Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.0536300Z             aten_view_copy_default_54: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_51, [1, 8, 4, 32]);  aten_view_copy_default_51 = None
2025-03-21T20:24:13.0537089Z             
2025-03-21T20:24:13.0538008Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.0539470Z             aten_permute_copy_default_28: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_54, [0, 2, 1, 3]);  aten_view_copy_default_54 = None
2025-03-21T20:24:13.0540292Z             
2025-03-21T20:24:13.0541307Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:284 in forward, code: attention_scores = torch.matmul(query_layer, key_layer.transpose(-1, -2))
2025-03-21T20:24:13.0542949Z             aten_permute_copy_default_29: "f32[1, 4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_permute_copy_default_27, [0, 1, 3, 2]);  aten_permute_copy_default_27 = None
2025-03-21T20:24:13.0544318Z             aten_expand_copy_default_4: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_26, [1, 4, 8, 32]);  aten_permute_copy_default_26 = None
2025-03-21T20:24:13.0545688Z             aten_view_copy_default_55: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_4, [4, 8, 32]);  aten_expand_copy_default_4 = None
2025-03-21T20:24:13.0547017Z             aten_expand_copy_default_5: "f32[1, 4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_29, [1, 4, 32, 8]);  aten_permute_copy_default_29 = None
2025-03-21T20:24:13.0548336Z             aten_view_copy_default_56: "f32[4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_5, [4, 32, 8]);  aten_expand_copy_default_5 = None
2025-03-21T20:24:13.0549711Z             aten_bmm_default_2: "f32[4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_55, aten_view_copy_default_56);  aten_view_copy_default_55 = aten_view_copy_default_56 = None
2025-03-21T20:24:13.0551049Z             aten_view_copy_default_57: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_2, [1, 4, 8, 8]);  aten_bmm_default_2 = None
2025-03-21T20:24:13.0551834Z             
2025-03-21T20:24:13.0552848Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:285 in forward, code: attention_scores = attention_scores / math.sqrt(self.attention_head_size)
2025-03-21T20:24:13.0554599Z             aten_div_tensor_1: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_div_Tensor(aten_view_copy_default_57, _lifted_tensor_constant4);  aten_view_copy_default_57 = _lifted_tensor_constant4 = None
2025-03-21T20:24:13.0555486Z             
2025-03-21T20:24:13.0556420Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:288 in forward, code: attention_scores = attention_scores + attention_mask
2025-03-21T20:24:13.0557818Z             aten_add_tensor_20: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_div_tensor_1, aten_mul_tensor);  aten_div_tensor_1 = None
2025-03-21T20:24:13.0558519Z             
2025-03-21T20:24:13.0559487Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:290 in forward, code: attention_probs = nn.functional.softmax(attention_scores, dim=-1)
2025-03-21T20:24:13.0560967Z             aten__softmax_default_1: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten__softmax_default(aten_add_tensor_20, -1, False);  aten_add_tensor_20 = None
2025-03-21T20:24:13.0561715Z             
2025-03-21T20:24:13.0562624Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:293 in forward, code: attention_probs = self.dropout(attention_probs)
2025-03-21T20:24:13.0564058Z             aten_clone_default_4: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten__softmax_default_1);  aten__softmax_default_1 = None
2025-03-21T20:24:13.0564768Z             
2025-03-21T20:24:13.0565713Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:297 in forward, code: context_layer = torch.matmul(attention_probs, value_layer)
2025-03-21T20:24:13.0567199Z             aten_expand_copy_default_6: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_clone_default_4, [1, 4, 8, 8]);  aten_clone_default_4 = None
2025-03-21T20:24:13.0568494Z             aten_view_copy_default_58: "f32[4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_6, [4, 8, 8]);  aten_expand_copy_default_6 = None
2025-03-21T20:24:13.0569799Z             aten_expand_copy_default_7: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_28, [1, 4, 8, 32]);  aten_permute_copy_default_28 = None
2025-03-21T20:24:13.0571170Z             aten_view_copy_default_59: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_7, [4, 8, 32]);  aten_expand_copy_default_7 = None
2025-03-21T20:24:13.0572549Z             aten_bmm_default_3: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_58, aten_view_copy_default_59);  aten_view_copy_default_58 = aten_view_copy_default_59 = None
2025-03-21T20:24:13.0573886Z             aten_view_copy_default_60: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_3, [1, 4, 8, 32]);  aten_bmm_default_3 = None
2025-03-21T20:24:13.0574635Z             
2025-03-21T20:24:13.0575599Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:298 in forward, code: context_layer = context_layer.permute(0, 2, 1, 3).contiguous()
2025-03-21T20:24:13.0577144Z             aten_permute_copy_default_30: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_60, [0, 2, 1, 3]);  aten_view_copy_default_60 = None
2025-03-21T20:24:13.0578577Z             aten_clone_default_5: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_permute_copy_default_30, memory_format = torch.contiguous_format);  aten_permute_copy_default_30 = None
2025-03-21T20:24:13.0579490Z             
2025-03-21T20:24:13.0580431Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:300 in forward, code: context_layer = context_layer.view(new_context_layer_shape)
2025-03-21T20:24:13.0581906Z             aten_view_copy_default_61: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_5, [1, 8, 128]);  aten_clone_default_5 = None
2025-03-21T20:24:13.0582671Z             
2025-03-21T20:24:13.0583545Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:315 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.0584971Z             aten_view_copy_default_62: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_61, [8, 128]);  aten_view_copy_default_61 = None
2025-03-21T20:24:13.0586438Z             aten_permute_copy_default_31: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_1_attention_output_dense_weight, [1, 0]);  p_encoder_layer_1_attention_output_dense_weight = None
2025-03-21T20:24:13.0588429Z             aten_addmm_default_21: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_1_attention_output_dense_bias, aten_view_copy_default_62, aten_permute_copy_default_31);  p_encoder_layer_1_attention_output_dense_bias = aten_view_copy_default_62 = aten_permute_copy_default_31 = None
2025-03-21T20:24:13.0590247Z             aten_view_copy_default_63: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_21, [1, 8, 128]);  aten_addmm_default_21 = None
2025-03-21T20:24:13.0591025Z             
2025-03-21T20:24:13.0591997Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:318 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.0593677Z             aten_add_tensor_21: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_63, aten_add_tensor_18);  aten_view_copy_default_63 = aten_add_tensor_18 = None
2025-03-21T20:24:13.0594508Z             
2025-03-21T20:24:13.0595406Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.0597194Z             aten_mul_tensor_12: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_21, p_encoder_layer_1_attention_output_layernorm_weight);  aten_add_tensor_21 = p_encoder_layer_1_attention_output_layernorm_weight = None
2025-03-21T20:24:13.0598973Z             aten_add_tensor_22: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_12, p_encoder_layer_1_attention_output_layernorm_bias);  aten_mul_tensor_12 = p_encoder_layer_1_attention_output_layernorm_bias = None
2025-03-21T20:24:13.0600004Z             
2025-03-21T20:24:13.0600894Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.0602402Z             aten_view_copy_default_64: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_22, [8, 128])
2025-03-21T20:24:13.0603744Z             aten_permute_copy_default_32: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_1_ffn_0_intermediate_dense_weight, [1, 0]);  p_encoder_layer_1_ffn_0_intermediate_dense_weight = None
2025-03-21T20:24:13.0605746Z             aten_addmm_default_22: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_1_ffn_0_intermediate_dense_bias, aten_view_copy_default_64, aten_permute_copy_default_32);  p_encoder_layer_1_ffn_0_intermediate_dense_bias = aten_view_copy_default_64 = aten_permute_copy_default_32 = None
2025-03-21T20:24:13.0607535Z             aten_view_copy_default_65: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_22, [1, 8, 512]);  aten_addmm_default_22 = None
2025-03-21T20:24:13.0608300Z             
2025-03-21T20:24:13.0609242Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.0638210Z             aten_relu_default_4: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_65);  aten_view_copy_default_65 = None
2025-03-21T20:24:13.0638963Z             
2025-03-21T20:24:13.0639883Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.0641293Z             aten_view_copy_default_66: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_4, [8, 512]);  aten_relu_default_4 = None
2025-03-21T20:24:13.0642685Z             aten_permute_copy_default_33: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_1_ffn_0_output_dense_weight, [1, 0]);  p_encoder_layer_1_ffn_0_output_dense_weight = None
2025-03-21T20:24:13.0644731Z             aten_addmm_default_23: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_1_ffn_0_output_dense_bias, aten_view_copy_default_66, aten_permute_copy_default_33);  p_encoder_layer_1_ffn_0_output_dense_bias = aten_view_copy_default_66 = aten_permute_copy_default_33 = None
2025-03-21T20:24:13.0646451Z             aten_view_copy_default_67: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_23, [1, 8, 128]);  aten_addmm_default_23 = None
2025-03-21T20:24:13.0647271Z             
2025-03-21T20:24:13.0648253Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.0649825Z             aten_add_tensor_23: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_67, aten_add_tensor_22);  aten_view_copy_default_67 = aten_add_tensor_22 = None
2025-03-21T20:24:13.0650673Z             
2025-03-21T20:24:13.0651669Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.0653332Z             aten_mul_tensor_13: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_23, p_encoder_layer_1_ffn_0_output_layernorm_weight);  aten_add_tensor_23 = p_encoder_layer_1_ffn_0_output_layernorm_weight = None
2025-03-21T20:24:13.0655013Z             aten_add_tensor_24: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_13, p_encoder_layer_1_ffn_0_output_layernorm_bias);  aten_mul_tensor_13 = p_encoder_layer_1_ffn_0_output_layernorm_bias = None
2025-03-21T20:24:13.0655989Z             
2025-03-21T20:24:13.0656854Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.0658134Z             aten_view_copy_default_68: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_24, [8, 128])
2025-03-21T20:24:13.0659454Z             aten_permute_copy_default_34: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_1_ffn_1_intermediate_dense_weight, [1, 0]);  p_encoder_layer_1_ffn_1_intermediate_dense_weight = None
2025-03-21T20:24:13.0661458Z             aten_addmm_default_24: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_1_ffn_1_intermediate_dense_bias, aten_view_copy_default_68, aten_permute_copy_default_34);  p_encoder_layer_1_ffn_1_intermediate_dense_bias = aten_view_copy_default_68 = aten_permute_copy_default_34 = None
2025-03-21T20:24:13.0663234Z             aten_view_copy_default_69: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_24, [1, 8, 512]);  aten_addmm_default_24 = None
2025-03-21T20:24:13.0663987Z             
2025-03-21T20:24:13.0664929Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.0666335Z             aten_relu_default_5: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_69);  aten_view_copy_default_69 = None
2025-03-21T20:24:13.0667055Z             
2025-03-21T20:24:13.0667921Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.0669301Z             aten_view_copy_default_70: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_5, [8, 512]);  aten_relu_default_5 = None
2025-03-21T20:24:13.0670705Z             aten_permute_copy_default_35: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_1_ffn_1_output_dense_weight, [1, 0]);  p_encoder_layer_1_ffn_1_output_dense_weight = None
2025-03-21T20:24:13.0672582Z             aten_addmm_default_25: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_1_ffn_1_output_dense_bias, aten_view_copy_default_70, aten_permute_copy_default_35);  p_encoder_layer_1_ffn_1_output_dense_bias = aten_view_copy_default_70 = aten_permute_copy_default_35 = None
2025-03-21T20:24:13.0674396Z             aten_view_copy_default_71: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_25, [1, 8, 128]);  aten_addmm_default_25 = None
2025-03-21T20:24:13.0675155Z             
2025-03-21T20:24:13.0676121Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.0677721Z             aten_add_tensor_25: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_71, aten_add_tensor_24);  aten_view_copy_default_71 = aten_add_tensor_24 = None
2025-03-21T20:24:13.0678546Z             
2025-03-21T20:24:13.0679443Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.0681095Z             aten_mul_tensor_14: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_25, p_encoder_layer_1_ffn_1_output_layernorm_weight);  aten_add_tensor_25 = p_encoder_layer_1_ffn_1_output_layernorm_weight = None
2025-03-21T20:24:13.0682766Z             aten_add_tensor_26: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_14, p_encoder_layer_1_ffn_1_output_layernorm_bias);  aten_mul_tensor_14 = p_encoder_layer_1_ffn_1_output_layernorm_bias = None
2025-03-21T20:24:13.0683739Z             
2025-03-21T20:24:13.0684600Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.0685860Z             aten_view_copy_default_72: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_26, [8, 128])
2025-03-21T20:24:13.0687168Z             aten_permute_copy_default_36: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_1_ffn_2_intermediate_dense_weight, [1, 0]);  p_encoder_layer_1_ffn_2_intermediate_dense_weight = None
2025-03-21T20:24:13.0689160Z             aten_addmm_default_26: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_1_ffn_2_intermediate_dense_bias, aten_view_copy_default_72, aten_permute_copy_default_36);  p_encoder_layer_1_ffn_2_intermediate_dense_bias = aten_view_copy_default_72 = aten_permute_copy_default_36 = None
2025-03-21T20:24:13.0690942Z             aten_view_copy_default_73: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_26, [1, 8, 512]);  aten_addmm_default_26 = None
2025-03-21T20:24:13.0691709Z             
2025-03-21T20:24:13.0692638Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.0694056Z             aten_relu_default_6: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_73);  aten_view_copy_default_73 = None
2025-03-21T20:24:13.0694765Z             
2025-03-21T20:24:13.0695623Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.0697023Z             aten_view_copy_default_74: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_6, [8, 512]);  aten_relu_default_6 = None
2025-03-21T20:24:13.0698382Z             aten_permute_copy_default_37: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_1_ffn_2_output_dense_weight, [1, 0]);  p_encoder_layer_1_ffn_2_output_dense_weight = None
2025-03-21T20:24:13.0700250Z             aten_addmm_default_27: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_1_ffn_2_output_dense_bias, aten_view_copy_default_74, aten_permute_copy_default_37);  p_encoder_layer_1_ffn_2_output_dense_bias = aten_view_copy_default_74 = aten_permute_copy_default_37 = None
2025-03-21T20:24:13.0701986Z             aten_view_copy_default_75: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_27, [1, 8, 128]);  aten_addmm_default_27 = None
2025-03-21T20:24:13.0702978Z             
2025-03-21T20:24:13.0704028Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.0705591Z             aten_add_tensor_27: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_75, aten_add_tensor_26);  aten_view_copy_default_75 = aten_add_tensor_26 = None
2025-03-21T20:24:13.0706421Z             
2025-03-21T20:24:13.0707304Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.0708949Z             aten_mul_tensor_15: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_27, p_encoder_layer_1_ffn_2_output_layernorm_weight);  aten_add_tensor_27 = p_encoder_layer_1_ffn_2_output_layernorm_weight = None
2025-03-21T20:24:13.0710615Z             aten_add_tensor_28: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_15, p_encoder_layer_1_ffn_2_output_layernorm_bias);  aten_mul_tensor_15 = p_encoder_layer_1_ffn_2_output_layernorm_bias = None
2025-03-21T20:24:13.0711588Z             
2025-03-21T20:24:13.0712447Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.0713798Z             aten_view_copy_default_76: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_28, [8, 128])
2025-03-21T20:24:13.0715065Z             aten_permute_copy_default_38: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_1_intermediate_dense_weight, [1, 0]);  p_encoder_layer_1_intermediate_dense_weight = None
2025-03-21T20:24:13.0716995Z             aten_addmm_default_28: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_1_intermediate_dense_bias, aten_view_copy_default_76, aten_permute_copy_default_38);  p_encoder_layer_1_intermediate_dense_bias = aten_view_copy_default_76 = aten_permute_copy_default_38 = None
2025-03-21T20:24:13.0718726Z             aten_view_copy_default_77: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_28, [1, 8, 512]);  aten_addmm_default_28 = None
2025-03-21T20:24:13.0719482Z             
2025-03-21T20:24:13.0720411Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.0721800Z             aten_relu_default_7: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_77);  aten_view_copy_default_77 = None
2025-03-21T20:24:13.0722545Z             
2025-03-21T20:24:13.0723439Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:415 in forward, code: layer_output = self.dense(intermediate_states)
2025-03-21T20:24:13.0724830Z             aten_view_copy_default_78: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_7, [8, 512]);  aten_relu_default_7 = None
2025-03-21T20:24:13.0726160Z             aten_permute_copy_default_39: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_1_output_dense_weight, [1, 0]);  p_encoder_layer_1_output_dense_weight = None
2025-03-21T20:24:13.0728017Z             aten_addmm_default_29: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_1_output_dense_bias, aten_view_copy_default_78, aten_permute_copy_default_39);  p_encoder_layer_1_output_dense_bias = aten_view_copy_default_78 = aten_permute_copy_default_39 = None
2025-03-21T20:24:13.0729734Z             aten_view_copy_default_79: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_29, [1, 8, 128]);  aten_addmm_default_29 = None
2025-03-21T20:24:13.0730485Z             
2025-03-21T20:24:13.0731432Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:420 in forward, code: layer_output = self.LayerNorm(layer_output + residual_tensor_1)
2025-03-21T20:24:13.0732975Z             aten_add_tensor_29: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_79, aten_add_tensor_28);  aten_view_copy_default_79 = aten_add_tensor_28 = None
2025-03-21T20:24:13.0733789Z             
2025-03-21T20:24:13.0734667Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.0736269Z             aten_mul_tensor_16: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_29, p_encoder_layer_1_output_layernorm_weight);  aten_add_tensor_29 = p_encoder_layer_1_output_layernorm_weight = None
2025-03-21T20:24:13.0737844Z             aten_add_tensor_30: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_16, p_encoder_layer_1_output_layernorm_bias);  aten_mul_tensor_16 = p_encoder_layer_1_output_layernorm_bias = None
2025-03-21T20:24:13.0738776Z             
2025-03-21T20:24:13.0739642Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:395 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.0741000Z             aten_view_copy_default_80: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_30, [8, 128]);  aten_add_tensor_30 = None
2025-03-21T20:24:13.0742399Z             aten_permute_copy_default_40: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_1_output_bottleneck_dense_weight, [1, 0]);  p_encoder_layer_1_output_bottleneck_dense_weight = None
2025-03-21T20:24:13.0744385Z             aten_addmm_default_30: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_1_output_bottleneck_dense_bias, aten_view_copy_default_80, aten_permute_copy_default_40);  p_encoder_layer_1_output_bottleneck_dense_bias = aten_view_copy_default_80 = aten_permute_copy_default_40 = None
2025-03-21T20:24:13.0746150Z             aten_view_copy_default_81: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_30, [1, 8, 512]);  aten_addmm_default_30 = None
2025-03-21T20:24:13.0746899Z             
2025-03-21T20:24:13.0747773Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:396 in forward, code: layer_outputs = self.dropout(layer_outputs)
2025-03-21T20:24:13.0749168Z             aten_clone_default_6: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_81);  aten_view_copy_default_81 = None
2025-03-21T20:24:13.0749882Z             
2025-03-21T20:24:13.0750838Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:397 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.0752382Z             aten_add_tensor_31: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_6, aten_add_tensor_17);  aten_clone_default_6 = aten_add_tensor_17 = None
2025-03-21T20:24:13.0753253Z             
2025-03-21T20:24:13.0754121Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.0755883Z             aten_mul_tensor_17: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_31, p_encoder_layer_1_output_bottleneck_layernorm_weight);  aten_add_tensor_31 = p_encoder_layer_1_output_bottleneck_layernorm_weight = None
2025-03-21T20:24:13.0757653Z             aten_add_tensor_32: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_17, p_encoder_layer_1_output_bottleneck_layernorm_bias);  aten_mul_tensor_17 = p_encoder_layer_1_output_bottleneck_layernorm_bias = None
2025-03-21T20:24:13.0758674Z             
2025-03-21T20:24:13.0759522Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:432 in forward, code: layer_input = self.dense(hidden_states)
2025-03-21T20:24:13.0760770Z             aten_view_copy_default_82: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_32, [8, 512])
2025-03-21T20:24:13.0762064Z             aten_permute_copy_default_41: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_2_bottleneck_input_dense_weight, [1, 0]);  p_encoder_layer_2_bottleneck_input_dense_weight = None
2025-03-21T20:24:13.0764026Z             aten_addmm_default_31: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_2_bottleneck_input_dense_bias, aten_view_copy_default_82, aten_permute_copy_default_41);  p_encoder_layer_2_bottleneck_input_dense_bias = aten_view_copy_default_82 = aten_permute_copy_default_41 = None
2025-03-21T20:24:13.0765774Z             aten_view_copy_default_83: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_31, [1, 8, 128]);  aten_addmm_default_31 = None
2025-03-21T20:24:13.0766528Z             
2025-03-21T20:24:13.0767407Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.0769153Z             aten_mul_tensor_18: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_83, p_encoder_layer_2_bottleneck_input_layernorm_weight);  aten_view_copy_default_83 = p_encoder_layer_2_bottleneck_input_layernorm_weight = None
2025-03-21T20:24:13.0770963Z             aten_add_tensor_33: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_18, p_encoder_layer_2_bottleneck_input_layernorm_bias);  aten_mul_tensor_18 = p_encoder_layer_2_bottleneck_input_layernorm_bias = None
2025-03-21T20:24:13.0771972Z             
2025-03-21T20:24:13.0772825Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:432 in forward, code: layer_input = self.dense(hidden_states)
2025-03-21T20:24:13.0774072Z             aten_view_copy_default_84: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_32, [8, 512])
2025-03-21T20:24:13.0775424Z             aten_permute_copy_default_42: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_2_bottleneck_attention_dense_weight, [1, 0]);  p_encoder_layer_2_bottleneck_attention_dense_weight = None
2025-03-21T20:24:13.0777463Z             aten_addmm_default_32: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_2_bottleneck_attention_dense_bias, aten_view_copy_default_84, aten_permute_copy_default_42);  p_encoder_layer_2_bottleneck_attention_dense_bias = aten_view_copy_default_84 = aten_permute_copy_default_42 = None
2025-03-21T20:24:13.0779289Z             aten_view_copy_default_85: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_32, [1, 8, 128]);  aten_addmm_default_32 = None
2025-03-21T20:24:13.0780038Z             
2025-03-21T20:24:13.0780915Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.0782736Z             aten_mul_tensor_19: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_85, p_encoder_layer_2_bottleneck_attention_layernorm_weight);  aten_view_copy_default_85 = p_encoder_layer_2_bottleneck_attention_layernorm_weight = None
2025-03-21T20:24:13.0784612Z             aten_add_tensor_34: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_19, p_encoder_layer_2_bottleneck_attention_layernorm_bias);  aten_mul_tensor_19 = p_encoder_layer_2_bottleneck_attention_layernorm_bias = None
2025-03-21T20:24:13.0785657Z             
2025-03-21T20:24:13.0786528Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:275 in forward, code: mixed_query_layer = self.query(query_tensor)
2025-03-21T20:24:13.0787793Z             aten_view_copy_default_86: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_34, [8, 128])
2025-03-21T20:24:13.0789065Z             aten_permute_copy_default_43: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_2_attention_self_query_weight, [1, 0]);  p_encoder_layer_2_attention_self_query_weight = None
2025-03-21T20:24:13.0790980Z             aten_addmm_default_33: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_2_attention_self_query_bias, aten_view_copy_default_86, aten_permute_copy_default_43);  p_encoder_layer_2_attention_self_query_bias = aten_view_copy_default_86 = aten_permute_copy_default_43 = None
2025-03-21T20:24:13.0792715Z             aten_view_copy_default_87: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_33, [1, 8, 128]);  aten_addmm_default_33 = None
2025-03-21T20:24:13.0793573Z             
2025-03-21T20:24:13.0794433Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:276 in forward, code: mixed_key_layer = self.key(key_tensor)
2025-03-21T20:24:13.0795799Z             aten_view_copy_default_88: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_34, [8, 128]);  aten_add_tensor_34 = None
2025-03-21T20:24:13.0797159Z             aten_permute_copy_default_44: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_2_attention_self_key_weight, [1, 0]);  p_encoder_layer_2_attention_self_key_weight = None
2025-03-21T20:24:13.0799058Z             aten_addmm_default_34: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_2_attention_self_key_bias, aten_view_copy_default_88, aten_permute_copy_default_44);  p_encoder_layer_2_attention_self_key_bias = aten_view_copy_default_88 = aten_permute_copy_default_44 = None
2025-03-21T20:24:13.0800826Z             aten_view_copy_default_89: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_34, [1, 8, 128]);  aten_addmm_default_34 = None
2025-03-21T20:24:13.0801602Z             
2025-03-21T20:24:13.0802998Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:277 in forward, code: mixed_value_layer = self.value(value_tensor)
2025-03-21T20:24:13.0804292Z             aten_view_copy_default_90: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_32, [8, 512])
2025-03-21T20:24:13.0805656Z             aten_permute_copy_default_45: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_2_attention_self_value_weight, [1, 0]);  p_encoder_layer_2_attention_self_value_weight = None
2025-03-21T20:24:13.0807600Z             aten_addmm_default_35: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_2_attention_self_value_bias, aten_view_copy_default_90, aten_permute_copy_default_45);  p_encoder_layer_2_attention_self_value_bias = aten_view_copy_default_90 = aten_permute_copy_default_45 = None
2025-03-21T20:24:13.0809416Z             aten_view_copy_default_91: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_35, [1, 8, 128]);  aten_addmm_default_35 = None
2025-03-21T20:24:13.0810186Z             
2025-03-21T20:24:13.0811058Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.0812531Z             aten_view_copy_default_92: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_87, [1, 8, 4, 32]);  aten_view_copy_default_87 = None
2025-03-21T20:24:13.0813430Z             
2025-03-21T20:24:13.0814313Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.0815781Z             aten_permute_copy_default_46: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_92, [0, 2, 1, 3]);  aten_view_copy_default_92 = None
2025-03-21T20:24:13.0816606Z             
2025-03-21T20:24:13.0817461Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.0818873Z             aten_view_copy_default_93: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_89, [1, 8, 4, 32]);  aten_view_copy_default_89 = None
2025-03-21T20:24:13.0819673Z             
2025-03-21T20:24:13.0820532Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.0821994Z             aten_permute_copy_default_47: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_93, [0, 2, 1, 3]);  aten_view_copy_default_93 = None
2025-03-21T20:24:13.0822823Z             
2025-03-21T20:24:13.0823676Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.0825092Z             aten_view_copy_default_94: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_91, [1, 8, 4, 32]);  aten_view_copy_default_91 = None
2025-03-21T20:24:13.0825877Z             
2025-03-21T20:24:13.0826745Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.0828285Z             aten_permute_copy_default_48: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_94, [0, 2, 1, 3]);  aten_view_copy_default_94 = None
2025-03-21T20:24:13.0829094Z             
2025-03-21T20:24:13.0830104Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:284 in forward, code: attention_scores = torch.matmul(query_layer, key_layer.transpose(-1, -2))
2025-03-21T20:24:13.0831764Z             aten_permute_copy_default_49: "f32[1, 4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_permute_copy_default_47, [0, 1, 3, 2]);  aten_permute_copy_default_47 = None
2025-03-21T20:24:13.0833222Z             aten_expand_copy_default_8: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_46, [1, 4, 8, 32]);  aten_permute_copy_default_46 = None
2025-03-21T20:24:13.0834612Z             aten_view_copy_default_95: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_8, [4, 8, 32]);  aten_expand_copy_default_8 = None
2025-03-21T20:24:13.0835937Z             aten_expand_copy_default_9: "f32[1, 4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_49, [1, 4, 32, 8]);  aten_permute_copy_default_49 = None
2025-03-21T20:24:13.0837258Z             aten_view_copy_default_96: "f32[4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_9, [4, 32, 8]);  aten_expand_copy_default_9 = None
2025-03-21T20:24:13.0838651Z             aten_bmm_default_4: "f32[4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_95, aten_view_copy_default_96);  aten_view_copy_default_95 = aten_view_copy_default_96 = None
2025-03-21T20:24:13.0839981Z             aten_view_copy_default_97: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_4, [1, 4, 8, 8]);  aten_bmm_default_4 = None
2025-03-21T20:24:13.0840716Z             
2025-03-21T20:24:13.0841732Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:285 in forward, code: attention_scores = attention_scores / math.sqrt(self.attention_head_size)
2025-03-21T20:24:13.0843394Z             aten_div_tensor_2: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_div_Tensor(aten_view_copy_default_97, _lifted_tensor_constant5);  aten_view_copy_default_97 = _lifted_tensor_constant5 = None
2025-03-21T20:24:13.0844285Z             
2025-03-21T20:24:13.0845212Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:288 in forward, code: attention_scores = attention_scores + attention_mask
2025-03-21T20:24:13.0846603Z             aten_add_tensor_35: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_div_tensor_2, aten_mul_tensor);  aten_div_tensor_2 = None
2025-03-21T20:24:13.0847302Z             
2025-03-21T20:24:13.0848272Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:290 in forward, code: attention_probs = nn.functional.softmax(attention_scores, dim=-1)
2025-03-21T20:24:13.0849754Z             aten__softmax_default_2: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten__softmax_default(aten_add_tensor_35, -1, False);  aten_add_tensor_35 = None
2025-03-21T20:24:13.0850502Z             
2025-03-21T20:24:13.0851414Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:293 in forward, code: attention_probs = self.dropout(attention_probs)
2025-03-21T20:24:13.0852800Z             aten_clone_default_7: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten__softmax_default_2);  aten__softmax_default_2 = None
2025-03-21T20:24:13.0853548Z             
2025-03-21T20:24:13.0854499Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:297 in forward, code: context_layer = torch.matmul(attention_probs, value_layer)
2025-03-21T20:24:13.0855988Z             aten_expand_copy_default_10: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_clone_default_7, [1, 4, 8, 8]);  aten_clone_default_7 = None
2025-03-21T20:24:13.0857273Z             aten_view_copy_default_98: "f32[4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_10, [4, 8, 8]);  aten_expand_copy_default_10 = None
2025-03-21T20:24:13.0858595Z             aten_expand_copy_default_11: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_48, [1, 4, 8, 32]);  aten_permute_copy_default_48 = None
2025-03-21T20:24:13.0859917Z             aten_view_copy_default_99: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_11, [4, 8, 32]);  aten_expand_copy_default_11 = None
2025-03-21T20:24:13.0861353Z             aten_bmm_default_5: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_98, aten_view_copy_default_99);  aten_view_copy_default_98 = aten_view_copy_default_99 = None
2025-03-21T20:24:13.0862693Z             aten_view_copy_default_100: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_5, [1, 4, 8, 32]);  aten_bmm_default_5 = None
2025-03-21T20:24:13.0863454Z             
2025-03-21T20:24:13.0864413Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:298 in forward, code: context_layer = context_layer.permute(0, 2, 1, 3).contiguous()
2025-03-21T20:24:13.0865952Z             aten_permute_copy_default_50: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_100, [0, 2, 1, 3]);  aten_view_copy_default_100 = None
2025-03-21T20:24:13.0867391Z             aten_clone_default_8: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_permute_copy_default_50, memory_format = torch.contiguous_format);  aten_permute_copy_default_50 = None
2025-03-21T20:24:13.0868307Z             
2025-03-21T20:24:13.0869237Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:300 in forward, code: context_layer = context_layer.view(new_context_layer_shape)
2025-03-21T20:24:13.0870714Z             aten_view_copy_default_101: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_8, [1, 8, 128]);  aten_clone_default_8 = None
2025-03-21T20:24:13.0871480Z             
2025-03-21T20:24:13.0872349Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:315 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.0873887Z             aten_view_copy_default_102: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_101, [8, 128]);  aten_view_copy_default_101 = None
2025-03-21T20:24:13.0875363Z             aten_permute_copy_default_51: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_2_attention_output_dense_weight, [1, 0]);  p_encoder_layer_2_attention_output_dense_weight = None
2025-03-21T20:24:13.0877346Z             aten_addmm_default_36: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_2_attention_output_dense_bias, aten_view_copy_default_102, aten_permute_copy_default_51);  p_encoder_layer_2_attention_output_dense_bias = aten_view_copy_default_102 = aten_permute_copy_default_51 = None
2025-03-21T20:24:13.0879143Z             aten_view_copy_default_103: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_36, [1, 8, 128]);  aten_addmm_default_36 = None
2025-03-21T20:24:13.0879952Z             
2025-03-21T20:24:13.0880914Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:318 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.0882480Z             aten_add_tensor_36: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_103, aten_add_tensor_33);  aten_view_copy_default_103 = aten_add_tensor_33 = None
2025-03-21T20:24:13.0883351Z             
2025-03-21T20:24:13.0884252Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.0885955Z             aten_mul_tensor_20: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_36, p_encoder_layer_2_attention_output_layernorm_weight);  aten_add_tensor_36 = p_encoder_layer_2_attention_output_layernorm_weight = None
2025-03-21T20:24:13.0887875Z             aten_add_tensor_37: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_20, p_encoder_layer_2_attention_output_layernorm_bias);  aten_mul_tensor_20 = p_encoder_layer_2_attention_output_layernorm_bias = None
2025-03-21T20:24:13.0888920Z             
2025-03-21T20:24:13.0889861Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.0891184Z             aten_view_copy_default_104: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_37, [8, 128])
2025-03-21T20:24:13.0892515Z             aten_permute_copy_default_52: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_2_ffn_0_intermediate_dense_weight, [1, 0]);  p_encoder_layer_2_ffn_0_intermediate_dense_weight = None
2025-03-21T20:24:13.0894546Z             aten_addmm_default_37: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_2_ffn_0_intermediate_dense_bias, aten_view_copy_default_104, aten_permute_copy_default_52);  p_encoder_layer_2_ffn_0_intermediate_dense_bias = aten_view_copy_default_104 = aten_permute_copy_default_52 = None
2025-03-21T20:24:13.0896331Z             aten_view_copy_default_105: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_37, [1, 8, 512]);  aten_addmm_default_37 = None
2025-03-21T20:24:13.0897143Z             
2025-03-21T20:24:13.0898080Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.0899559Z             aten_relu_default_8: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_105);  aten_view_copy_default_105 = None
2025-03-21T20:24:13.0900299Z             
2025-03-21T20:24:13.0901182Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.0902784Z             aten_view_copy_default_106: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_8, [8, 512]);  aten_relu_default_8 = None
2025-03-21T20:24:13.0904328Z             aten_permute_copy_default_53: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_2_ffn_0_output_dense_weight, [1, 0]);  p_encoder_layer_2_ffn_0_output_dense_weight = None
2025-03-21T20:24:13.0906266Z             aten_addmm_default_38: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_2_ffn_0_output_dense_bias, aten_view_copy_default_106, aten_permute_copy_default_53);  p_encoder_layer_2_ffn_0_output_dense_bias = aten_view_copy_default_106 = aten_permute_copy_default_53 = None
2025-03-21T20:24:13.0908099Z             aten_view_copy_default_107: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_38, [1, 8, 128]);  aten_addmm_default_38 = None
2025-03-21T20:24:13.0908878Z             
2025-03-21T20:24:13.0909853Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.0911479Z             aten_add_tensor_38: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_107, aten_add_tensor_37);  aten_view_copy_default_107 = aten_add_tensor_37 = None
2025-03-21T20:24:13.0912322Z             
2025-03-21T20:24:13.0913309Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.0915073Z             aten_mul_tensor_21: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_38, p_encoder_layer_2_ffn_0_output_layernorm_weight);  aten_add_tensor_38 = p_encoder_layer_2_ffn_0_output_layernorm_weight = None
2025-03-21T20:24:13.0916745Z             aten_add_tensor_39: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_21, p_encoder_layer_2_ffn_0_output_layernorm_bias);  aten_mul_tensor_21 = p_encoder_layer_2_ffn_0_output_layernorm_bias = None
2025-03-21T20:24:13.0917728Z             
2025-03-21T20:24:13.0918608Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.0919898Z             aten_view_copy_default_108: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_39, [8, 128])
2025-03-21T20:24:13.0921228Z             aten_permute_copy_default_54: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_2_ffn_1_intermediate_dense_weight, [1, 0]);  p_encoder_layer_2_ffn_1_intermediate_dense_weight = None
2025-03-21T20:24:13.0923274Z             aten_addmm_default_39: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_2_ffn_1_intermediate_dense_bias, aten_view_copy_default_108, aten_permute_copy_default_54);  p_encoder_layer_2_ffn_1_intermediate_dense_bias = aten_view_copy_default_108 = aten_permute_copy_default_54 = None
2025-03-21T20:24:13.0925085Z             aten_view_copy_default_109: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_39, [1, 8, 512]);  aten_addmm_default_39 = None
2025-03-21T20:24:13.0925862Z             
2025-03-21T20:24:13.0926816Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.0928264Z             aten_relu_default_9: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_109);  aten_view_copy_default_109 = None
2025-03-21T20:24:13.0929002Z             
2025-03-21T20:24:13.0929882Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.0931292Z             aten_view_copy_default_110: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_9, [8, 512]);  aten_relu_default_9 = None
2025-03-21T20:24:13.0932688Z             aten_permute_copy_default_55: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_2_ffn_1_output_dense_weight, [1, 0]);  p_encoder_layer_2_ffn_1_output_dense_weight = None
2025-03-21T20:24:13.0934657Z             aten_addmm_default_40: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_2_ffn_1_output_dense_bias, aten_view_copy_default_110, aten_permute_copy_default_55);  p_encoder_layer_2_ffn_1_output_dense_bias = aten_view_copy_default_110 = aten_permute_copy_default_55 = None
2025-03-21T20:24:13.0936392Z             aten_view_copy_default_111: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_40, [1, 8, 128]);  aten_addmm_default_40 = None
2025-03-21T20:24:13.0937203Z             
2025-03-21T20:24:13.0938174Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.0939775Z             aten_add_tensor_40: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_111, aten_add_tensor_39);  aten_view_copy_default_111 = aten_add_tensor_39 = None
2025-03-21T20:24:13.0940676Z             
2025-03-21T20:24:13.0941584Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.0943265Z             aten_mul_tensor_22: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_40, p_encoder_layer_2_ffn_1_output_layernorm_weight);  aten_add_tensor_40 = p_encoder_layer_2_ffn_1_output_layernorm_weight = None
2025-03-21T20:24:13.0944963Z             aten_add_tensor_41: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_22, p_encoder_layer_2_ffn_1_output_layernorm_bias);  aten_mul_tensor_22 = p_encoder_layer_2_ffn_1_output_layernorm_bias = None
2025-03-21T20:24:13.0945958Z             
2025-03-21T20:24:13.0946848Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.0948140Z             aten_view_copy_default_112: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_41, [8, 128])
2025-03-21T20:24:13.0949481Z             aten_permute_copy_default_56: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_2_ffn_2_intermediate_dense_weight, [1, 0]);  p_encoder_layer_2_ffn_2_intermediate_dense_weight = None
2025-03-21T20:24:13.0951502Z             aten_addmm_default_41: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_2_ffn_2_intermediate_dense_bias, aten_view_copy_default_112, aten_permute_copy_default_56);  p_encoder_layer_2_ffn_2_intermediate_dense_bias = aten_view_copy_default_112 = aten_permute_copy_default_56 = None
2025-03-21T20:24:13.0953384Z             aten_view_copy_default_113: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_41, [1, 8, 512]);  aten_addmm_default_41 = None
2025-03-21T20:24:13.0954167Z             
2025-03-21T20:24:13.0955100Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.0956540Z             aten_relu_default_10: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_113);  aten_view_copy_default_113 = None
2025-03-21T20:24:13.0957288Z             
2025-03-21T20:24:13.0958200Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.0959645Z             aten_view_copy_default_114: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_10, [8, 512]);  aten_relu_default_10 = None
2025-03-21T20:24:13.0961048Z             aten_permute_copy_default_57: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_2_ffn_2_output_dense_weight, [1, 0]);  p_encoder_layer_2_ffn_2_output_dense_weight = None
2025-03-21T20:24:13.0963918Z             aten_addmm_default_42: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_2_ffn_2_output_dense_bias, aten_view_copy_default_114, aten_permute_copy_default_57);  p_encoder_layer_2_ffn_2_output_dense_bias = aten_view_copy_default_114 = aten_permute_copy_default_57 = None
2025-03-21T20:24:13.0965684Z             aten_view_copy_default_115: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_42, [1, 8, 128]);  aten_addmm_default_42 = None
2025-03-21T20:24:13.0966462Z             
2025-03-21T20:24:13.0967472Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.0969055Z             aten_add_tensor_42: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_115, aten_add_tensor_41);  aten_view_copy_default_115 = aten_add_tensor_41 = None
2025-03-21T20:24:13.0969900Z             
2025-03-21T20:24:13.0970799Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.0972475Z             aten_mul_tensor_23: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_42, p_encoder_layer_2_ffn_2_output_layernorm_weight);  aten_add_tensor_42 = p_encoder_layer_2_ffn_2_output_layernorm_weight = None
2025-03-21T20:24:13.0974313Z             aten_add_tensor_43: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_23, p_encoder_layer_2_ffn_2_output_layernorm_bias);  aten_mul_tensor_23 = p_encoder_layer_2_ffn_2_output_layernorm_bias = None
2025-03-21T20:24:13.0975327Z             
2025-03-21T20:24:13.0976214Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.0977495Z             aten_view_copy_default_116: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_43, [8, 128])
2025-03-21T20:24:13.0978776Z             aten_permute_copy_default_58: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_2_intermediate_dense_weight, [1, 0]);  p_encoder_layer_2_intermediate_dense_weight = None
2025-03-21T20:24:13.0980714Z             aten_addmm_default_43: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_2_intermediate_dense_bias, aten_view_copy_default_116, aten_permute_copy_default_58);  p_encoder_layer_2_intermediate_dense_bias = aten_view_copy_default_116 = aten_permute_copy_default_58 = None
2025-03-21T20:24:13.0982477Z             aten_view_copy_default_117: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_43, [1, 8, 512]);  aten_addmm_default_43 = None
2025-03-21T20:24:13.0983252Z             
2025-03-21T20:24:13.0984187Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.0985614Z             aten_relu_default_11: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_117);  aten_view_copy_default_117 = None
2025-03-21T20:24:13.0986386Z             
2025-03-21T20:24:13.0987285Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:415 in forward, code: layer_output = self.dense(intermediate_states)
2025-03-21T20:24:13.0988731Z             aten_view_copy_default_118: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_11, [8, 512]);  aten_relu_default_11 = None
2025-03-21T20:24:13.0990092Z             aten_permute_copy_default_59: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_2_output_dense_weight, [1, 0]);  p_encoder_layer_2_output_dense_weight = None
2025-03-21T20:24:13.0991934Z             aten_addmm_default_44: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_2_output_dense_bias, aten_view_copy_default_118, aten_permute_copy_default_59);  p_encoder_layer_2_output_dense_bias = aten_view_copy_default_118 = aten_permute_copy_default_59 = None
2025-03-21T20:24:13.0993721Z             aten_view_copy_default_119: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_44, [1, 8, 128]);  aten_addmm_default_44 = None
2025-03-21T20:24:13.0994559Z             
2025-03-21T20:24:13.0995543Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:420 in forward, code: layer_output = self.LayerNorm(layer_output + residual_tensor_1)
2025-03-21T20:24:13.0997117Z             aten_add_tensor_44: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_119, aten_add_tensor_43);  aten_view_copy_default_119 = aten_add_tensor_43 = None
2025-03-21T20:24:13.0997965Z             
2025-03-21T20:24:13.0998860Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.1000488Z             aten_mul_tensor_24: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_44, p_encoder_layer_2_output_layernorm_weight);  aten_add_tensor_44 = p_encoder_layer_2_output_layernorm_weight = None
2025-03-21T20:24:13.1002318Z             aten_add_tensor_45: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_24, p_encoder_layer_2_output_layernorm_bias);  aten_mul_tensor_24 = p_encoder_layer_2_output_layernorm_bias = None
2025-03-21T20:24:13.1003280Z             
2025-03-21T20:24:13.1004149Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:395 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.1005623Z             aten_view_copy_default_120: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_45, [8, 128]);  aten_add_tensor_45 = None
2025-03-21T20:24:13.1007053Z             aten_permute_copy_default_60: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_2_output_bottleneck_dense_weight, [1, 0]);  p_encoder_layer_2_output_bottleneck_dense_weight = None
2025-03-21T20:24:13.1009063Z             aten_addmm_default_45: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_2_output_bottleneck_dense_bias, aten_view_copy_default_120, aten_permute_copy_default_60);  p_encoder_layer_2_output_bottleneck_dense_bias = aten_view_copy_default_120 = aten_permute_copy_default_60 = None
2025-03-21T20:24:13.1010863Z             aten_view_copy_default_121: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_45, [1, 8, 512]);  aten_addmm_default_45 = None
2025-03-21T20:24:13.1011637Z             
2025-03-21T20:24:13.1012528Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:396 in forward, code: layer_outputs = self.dropout(layer_outputs)
2025-03-21T20:24:13.1014018Z             aten_clone_default_9: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_121);  aten_view_copy_default_121 = None
2025-03-21T20:24:13.1014769Z             
2025-03-21T20:24:13.1015721Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:397 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.1017272Z             aten_add_tensor_46: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_9, aten_add_tensor_32);  aten_clone_default_9 = aten_add_tensor_32 = None
2025-03-21T20:24:13.1018124Z             
2025-03-21T20:24:13.1019023Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.1020815Z             aten_mul_tensor_25: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_46, p_encoder_layer_2_output_bottleneck_layernorm_weight);  aten_add_tensor_46 = p_encoder_layer_2_output_bottleneck_layernorm_weight = None
2025-03-21T20:24:13.1022601Z             aten_add_tensor_47: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_25, p_encoder_layer_2_output_bottleneck_layernorm_bias);  aten_mul_tensor_25 = p_encoder_layer_2_output_bottleneck_layernorm_bias = None
2025-03-21T20:24:13.1023643Z             
2025-03-21T20:24:13.1024524Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:432 in forward, code: layer_input = self.dense(hidden_states)
2025-03-21T20:24:13.1025799Z             aten_view_copy_default_122: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_47, [8, 512])
2025-03-21T20:24:13.1027102Z             aten_permute_copy_default_61: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_3_bottleneck_input_dense_weight, [1, 0]);  p_encoder_layer_3_bottleneck_input_dense_weight = None
2025-03-21T20:24:13.1029101Z             aten_addmm_default_46: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_3_bottleneck_input_dense_bias, aten_view_copy_default_122, aten_permute_copy_default_61);  p_encoder_layer_3_bottleneck_input_dense_bias = aten_view_copy_default_122 = aten_permute_copy_default_61 = None
2025-03-21T20:24:13.1030885Z             aten_view_copy_default_123: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_46, [1, 8, 128]);  aten_addmm_default_46 = None
2025-03-21T20:24:13.1031665Z             
2025-03-21T20:24:13.1032568Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.1034432Z             aten_mul_tensor_26: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_123, p_encoder_layer_3_bottleneck_input_layernorm_weight);  aten_view_copy_default_123 = p_encoder_layer_3_bottleneck_input_layernorm_weight = None
2025-03-21T20:24:13.1036270Z             aten_add_tensor_48: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_26, p_encoder_layer_3_bottleneck_input_layernorm_bias);  aten_mul_tensor_26 = p_encoder_layer_3_bottleneck_input_layernorm_bias = None
2025-03-21T20:24:13.1037309Z             
2025-03-21T20:24:13.1038187Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:432 in forward, code: layer_input = self.dense(hidden_states)
2025-03-21T20:24:13.1039455Z             aten_view_copy_default_124: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_47, [8, 512])
2025-03-21T20:24:13.1040852Z             aten_permute_copy_default_62: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_3_bottleneck_attention_dense_weight, [1, 0]);  p_encoder_layer_3_bottleneck_attention_dense_weight = None
2025-03-21T20:24:13.1042928Z             aten_addmm_default_47: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_3_bottleneck_attention_dense_bias, aten_view_copy_default_124, aten_permute_copy_default_62);  p_encoder_layer_3_bottleneck_attention_dense_bias = aten_view_copy_default_124 = aten_permute_copy_default_62 = None
2025-03-21T20:24:13.1044788Z             aten_view_copy_default_125: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_47, [1, 8, 128]);  aten_addmm_default_47 = None
2025-03-21T20:24:13.1045564Z             
2025-03-21T20:24:13.1046470Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.1048347Z             aten_mul_tensor_27: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_125, p_encoder_layer_3_bottleneck_attention_layernorm_weight);  aten_view_copy_default_125 = p_encoder_layer_3_bottleneck_attention_layernorm_weight = None
2025-03-21T20:24:13.1050267Z             aten_add_tensor_49: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_27, p_encoder_layer_3_bottleneck_attention_layernorm_bias);  aten_mul_tensor_27 = p_encoder_layer_3_bottleneck_attention_layernorm_bias = None
2025-03-21T20:24:13.1051332Z             
2025-03-21T20:24:13.1052231Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:275 in forward, code: mixed_query_layer = self.query(query_tensor)
2025-03-21T20:24:13.1053527Z             aten_view_copy_default_126: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_49, [8, 128])
2025-03-21T20:24:13.1054833Z             aten_permute_copy_default_63: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_3_attention_self_query_weight, [1, 0]);  p_encoder_layer_3_attention_self_query_weight = None
2025-03-21T20:24:13.1056871Z             aten_addmm_default_48: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_3_attention_self_query_bias, aten_view_copy_default_126, aten_permute_copy_default_63);  p_encoder_layer_3_attention_self_query_bias = aten_view_copy_default_126 = aten_permute_copy_default_63 = None
2025-03-21T20:24:13.1058649Z             aten_view_copy_default_127: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_48, [1, 8, 128]);  aten_addmm_default_48 = None
2025-03-21T20:24:13.1059436Z             
2025-03-21T20:24:13.1060309Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:276 in forward, code: mixed_key_layer = self.key(key_tensor)
2025-03-21T20:24:13.1061678Z             aten_view_copy_default_128: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_49, [8, 128]);  aten_add_tensor_49 = None
2025-03-21T20:24:13.1063075Z             aten_permute_copy_default_64: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_3_attention_self_key_weight, [1, 0]);  p_encoder_layer_3_attention_self_key_weight = None
2025-03-21T20:24:13.1064997Z             aten_addmm_default_49: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_3_attention_self_key_bias, aten_view_copy_default_128, aten_permute_copy_default_64);  p_encoder_layer_3_attention_self_key_bias = aten_view_copy_default_128 = aten_permute_copy_default_64 = None
2025-03-21T20:24:13.1066790Z             aten_view_copy_default_129: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_49, [1, 8, 128]);  aten_addmm_default_49 = None
2025-03-21T20:24:13.1067567Z             
2025-03-21T20:24:13.1068469Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:277 in forward, code: mixed_value_layer = self.value(value_tensor)
2025-03-21T20:24:13.1069747Z             aten_view_copy_default_130: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_47, [8, 512])
2025-03-21T20:24:13.1071075Z             aten_permute_copy_default_65: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_3_attention_self_value_weight, [1, 0]);  p_encoder_layer_3_attention_self_value_weight = None
2025-03-21T20:24:13.1073113Z             aten_addmm_default_50: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_3_attention_self_value_bias, aten_view_copy_default_130, aten_permute_copy_default_65);  p_encoder_layer_3_attention_self_value_bias = aten_view_copy_default_130 = aten_permute_copy_default_65 = None
2025-03-21T20:24:13.1074928Z             aten_view_copy_default_131: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_50, [1, 8, 128]);  aten_addmm_default_50 = None
2025-03-21T20:24:13.1075702Z             
2025-03-21T20:24:13.1076567Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.1077993Z             aten_view_copy_default_132: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_127, [1, 8, 4, 32]);  aten_view_copy_default_127 = None
2025-03-21T20:24:13.1078797Z             
2025-03-21T20:24:13.1079670Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.1081157Z             aten_permute_copy_default_66: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_132, [0, 2, 1, 3]);  aten_view_copy_default_132 = None
2025-03-21T20:24:13.1081981Z             
2025-03-21T20:24:13.1082840Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.1084269Z             aten_view_copy_default_133: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_129, [1, 8, 4, 32]);  aten_view_copy_default_129 = None
2025-03-21T20:24:13.1085071Z             
2025-03-21T20:24:13.1085952Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.1087427Z             aten_permute_copy_default_67: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_133, [0, 2, 1, 3]);  aten_view_copy_default_133 = None
2025-03-21T20:24:13.1088256Z             
2025-03-21T20:24:13.1089095Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.1090525Z             aten_view_copy_default_134: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_131, [1, 8, 4, 32]);  aten_view_copy_default_131 = None
2025-03-21T20:24:13.1091329Z             
2025-03-21T20:24:13.1092206Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.1093728Z             aten_permute_copy_default_68: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_134, [0, 2, 1, 3]);  aten_view_copy_default_134 = None
2025-03-21T20:24:13.1094559Z             
2025-03-21T20:24:13.1095574Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:284 in forward, code: attention_scores = torch.matmul(query_layer, key_layer.transpose(-1, -2))
2025-03-21T20:24:13.1097243Z             aten_permute_copy_default_69: "f32[1, 4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_permute_copy_default_67, [0, 1, 3, 2]);  aten_permute_copy_default_67 = None
2025-03-21T20:24:13.1098622Z             aten_expand_copy_default_12: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_66, [1, 4, 8, 32]);  aten_permute_copy_default_66 = None
2025-03-21T20:24:13.1099951Z             aten_view_copy_default_135: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_12, [4, 8, 32]);  aten_expand_copy_default_12 = None
2025-03-21T20:24:13.1101341Z             aten_expand_copy_default_13: "f32[1, 4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_69, [1, 4, 32, 8]);  aten_permute_copy_default_69 = None
2025-03-21T20:24:13.1102894Z             aten_view_copy_default_136: "f32[4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_13, [4, 32, 8]);  aten_expand_copy_default_13 = None
2025-03-21T20:24:13.1104322Z             aten_bmm_default_6: "f32[4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_135, aten_view_copy_default_136);  aten_view_copy_default_135 = aten_view_copy_default_136 = None
2025-03-21T20:24:13.1105671Z             aten_view_copy_default_137: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_6, [1, 4, 8, 8]);  aten_bmm_default_6 = None
2025-03-21T20:24:13.1106432Z             
2025-03-21T20:24:13.1107466Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:285 in forward, code: attention_scores = attention_scores / math.sqrt(self.attention_head_size)
2025-03-21T20:24:13.1109137Z             aten_div_tensor_3: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_div_Tensor(aten_view_copy_default_137, _lifted_tensor_constant6);  aten_view_copy_default_137 = _lifted_tensor_constant6 = None
2025-03-21T20:24:13.1110038Z             
2025-03-21T20:24:13.1110953Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:288 in forward, code: attention_scores = attention_scores + attention_mask
2025-03-21T20:24:13.1112333Z             aten_add_tensor_50: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_div_tensor_3, aten_mul_tensor);  aten_div_tensor_3 = None
2025-03-21T20:24:13.1113161Z             
2025-03-21T20:24:13.1114144Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:290 in forward, code: attention_probs = nn.functional.softmax(attention_scores, dim=-1)
2025-03-21T20:24:13.1115625Z             aten__softmax_default_3: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten__softmax_default(aten_add_tensor_50, -1, False);  aten_add_tensor_50 = None
2025-03-21T20:24:13.1116373Z             
2025-03-21T20:24:13.1117284Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:293 in forward, code: attention_probs = self.dropout(attention_probs)
2025-03-21T20:24:13.1118665Z             aten_clone_default_10: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten__softmax_default_3);  aten__softmax_default_3 = None
2025-03-21T20:24:13.1119455Z             
2025-03-21T20:24:13.1120404Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:297 in forward, code: context_layer = torch.matmul(attention_probs, value_layer)
2025-03-21T20:24:13.1121902Z             aten_expand_copy_default_14: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_clone_default_10, [1, 4, 8, 8]);  aten_clone_default_10 = None
2025-03-21T20:24:13.1123244Z             aten_view_copy_default_138: "f32[4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_14, [4, 8, 8]);  aten_expand_copy_default_14 = None
2025-03-21T20:24:13.1124575Z             aten_expand_copy_default_15: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_68, [1, 4, 8, 32]);  aten_permute_copy_default_68 = None
2025-03-21T20:24:13.1125913Z             aten_view_copy_default_139: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_15, [4, 8, 32]);  aten_expand_copy_default_15 = None
2025-03-21T20:24:13.1127386Z             aten_bmm_default_7: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_138, aten_view_copy_default_139);  aten_view_copy_default_138 = aten_view_copy_default_139 = None
2025-03-21T20:24:13.1128746Z             aten_view_copy_default_140: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_7, [1, 4, 8, 32]);  aten_bmm_default_7 = None
2025-03-21T20:24:13.1129507Z             
2025-03-21T20:24:13.1130462Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:298 in forward, code: context_layer = context_layer.permute(0, 2, 1, 3).contiguous()
2025-03-21T20:24:13.1132019Z             aten_permute_copy_default_70: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_140, [0, 2, 1, 3]);  aten_view_copy_default_140 = None
2025-03-21T20:24:13.1133471Z             aten_clone_default_11: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_permute_copy_default_70, memory_format = torch.contiguous_format);  aten_permute_copy_default_70 = None
2025-03-21T20:24:13.1134401Z             
2025-03-21T20:24:13.1135350Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:300 in forward, code: context_layer = context_layer.view(new_context_layer_shape)
2025-03-21T20:24:13.1136848Z             aten_view_copy_default_141: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_11, [1, 8, 128]);  aten_clone_default_11 = None
2025-03-21T20:24:13.1137628Z             
2025-03-21T20:24:13.1138514Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:315 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.1139962Z             aten_view_copy_default_142: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_141, [8, 128]);  aten_view_copy_default_141 = None
2025-03-21T20:24:13.1141424Z             aten_permute_copy_default_71: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_3_attention_output_dense_weight, [1, 0]);  p_encoder_layer_3_attention_output_dense_weight = None
2025-03-21T20:24:13.1143421Z             aten_addmm_default_51: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_3_attention_output_dense_bias, aten_view_copy_default_142, aten_permute_copy_default_71);  p_encoder_layer_3_attention_output_dense_bias = aten_view_copy_default_142 = aten_permute_copy_default_71 = None
2025-03-21T20:24:13.1145229Z             aten_view_copy_default_143: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_51, [1, 8, 128]);  aten_addmm_default_51 = None
2025-03-21T20:24:13.1146002Z             
2025-03-21T20:24:13.1146980Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:318 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.1148553Z             aten_add_tensor_51: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_143, aten_add_tensor_48);  aten_view_copy_default_143 = aten_add_tensor_48 = None
2025-03-21T20:24:13.1149427Z             
2025-03-21T20:24:13.1150317Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.1152029Z             aten_mul_tensor_28: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_51, p_encoder_layer_3_attention_output_layernorm_weight);  aten_add_tensor_51 = p_encoder_layer_3_attention_output_layernorm_weight = None
2025-03-21T20:24:13.1153944Z             aten_add_tensor_52: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_28, p_encoder_layer_3_attention_output_layernorm_bias);  aten_mul_tensor_28 = p_encoder_layer_3_attention_output_layernorm_bias = None
2025-03-21T20:24:13.1154978Z             
2025-03-21T20:24:13.1155849Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.1157134Z             aten_view_copy_default_144: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_52, [8, 128])
2025-03-21T20:24:13.1158464Z             aten_permute_copy_default_72: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_3_ffn_0_intermediate_dense_weight, [1, 0]);  p_encoder_layer_3_ffn_0_intermediate_dense_weight = None
2025-03-21T20:24:13.1160483Z             aten_addmm_default_52: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_3_ffn_0_intermediate_dense_bias, aten_view_copy_default_144, aten_permute_copy_default_72);  p_encoder_layer_3_ffn_0_intermediate_dense_bias = aten_view_copy_default_144 = aten_permute_copy_default_72 = None
2025-03-21T20:24:13.1162277Z             aten_view_copy_default_145: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_52, [1, 8, 512]);  aten_addmm_default_52 = None
2025-03-21T20:24:13.1163065Z             
2025-03-21T20:24:13.1164005Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.1165450Z             aten_relu_default_12: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_145);  aten_view_copy_default_145 = None
2025-03-21T20:24:13.1166188Z             
2025-03-21T20:24:13.1167058Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.1168464Z             aten_view_copy_default_146: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_12, [8, 512]);  aten_relu_default_12 = None
2025-03-21T20:24:13.1169866Z             aten_permute_copy_default_73: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_3_ffn_0_output_dense_weight, [1, 0]);  p_encoder_layer_3_ffn_0_output_dense_weight = None
2025-03-21T20:24:13.1171778Z             aten_addmm_default_53: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_3_ffn_0_output_dense_bias, aten_view_copy_default_146, aten_permute_copy_default_73);  p_encoder_layer_3_ffn_0_output_dense_bias = aten_view_copy_default_146 = aten_permute_copy_default_73 = None
2025-03-21T20:24:13.1173541Z             aten_view_copy_default_147: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_53, [1, 8, 128]);  aten_addmm_default_53 = None
2025-03-21T20:24:13.1174317Z             
2025-03-21T20:24:13.1175288Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.1176893Z             aten_add_tensor_53: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_147, aten_add_tensor_52);  aten_view_copy_default_147 = aten_add_tensor_52 = None
2025-03-21T20:24:13.1177739Z             
2025-03-21T20:24:13.1178621Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.1180339Z             aten_mul_tensor_29: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_53, p_encoder_layer_3_ffn_0_output_layernorm_weight);  aten_add_tensor_53 = p_encoder_layer_3_ffn_0_output_layernorm_weight = None
2025-03-21T20:24:13.1182026Z             aten_add_tensor_54: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_29, p_encoder_layer_3_ffn_0_output_layernorm_bias);  aten_mul_tensor_29 = p_encoder_layer_3_ffn_0_output_layernorm_bias = None
2025-03-21T20:24:13.1183006Z             
2025-03-21T20:24:13.1183878Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.1185160Z             aten_view_copy_default_148: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_54, [8, 128])
2025-03-21T20:24:13.1186493Z             aten_permute_copy_default_74: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_3_ffn_1_intermediate_dense_weight, [1, 0]);  p_encoder_layer_3_ffn_1_intermediate_dense_weight = None
2025-03-21T20:24:13.1188506Z             aten_addmm_default_54: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_3_ffn_1_intermediate_dense_bias, aten_view_copy_default_148, aten_permute_copy_default_74);  p_encoder_layer_3_ffn_1_intermediate_dense_bias = aten_view_copy_default_148 = aten_permute_copy_default_74 = None
2025-03-21T20:24:13.1190296Z             aten_view_copy_default_149: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_54, [1, 8, 512]);  aten_addmm_default_54 = None
2025-03-21T20:24:13.1191075Z             
2025-03-21T20:24:13.1191998Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.1193516Z             aten_relu_default_13: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_149);  aten_view_copy_default_149 = None
2025-03-21T20:24:13.1194254Z             
2025-03-21T20:24:13.1195131Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.1196531Z             aten_view_copy_default_150: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_13, [8, 512]);  aten_relu_default_13 = None
2025-03-21T20:24:13.1197916Z             aten_permute_copy_default_75: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_3_ffn_1_output_dense_weight, [1, 0]);  p_encoder_layer_3_ffn_1_output_dense_weight = None
2025-03-21T20:24:13.1199852Z             aten_addmm_default_55: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_3_ffn_1_output_dense_bias, aten_view_copy_default_150, aten_permute_copy_default_75);  p_encoder_layer_3_ffn_1_output_dense_bias = aten_view_copy_default_150 = aten_permute_copy_default_75 = None
2025-03-21T20:24:13.1201584Z             aten_view_copy_default_151: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_55, [1, 8, 128]);  aten_addmm_default_55 = None
2025-03-21T20:24:13.1202627Z             
2025-03-21T20:24:13.1203600Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.1205167Z             aten_add_tensor_55: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_151, aten_add_tensor_54);  aten_view_copy_default_151 = aten_add_tensor_54 = None
2025-03-21T20:24:13.1206112Z             
2025-03-21T20:24:13.1207012Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.1208680Z             aten_mul_tensor_30: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_55, p_encoder_layer_3_ffn_1_output_layernorm_weight);  aten_add_tensor_55 = p_encoder_layer_3_ffn_1_output_layernorm_weight = None
2025-03-21T20:24:13.1210368Z             aten_add_tensor_56: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_30, p_encoder_layer_3_ffn_1_output_layernorm_bias);  aten_mul_tensor_30 = p_encoder_layer_3_ffn_1_output_layernorm_bias = None
2025-03-21T20:24:13.1211359Z             
2025-03-21T20:24:13.1212242Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.1213520Z             aten_view_copy_default_152: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_56, [8, 128])
2025-03-21T20:24:13.1214844Z             aten_permute_copy_default_76: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_3_ffn_2_intermediate_dense_weight, [1, 0]);  p_encoder_layer_3_ffn_2_intermediate_dense_weight = None
2025-03-21T20:24:13.1216869Z             aten_addmm_default_56: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_3_ffn_2_intermediate_dense_bias, aten_view_copy_default_152, aten_permute_copy_default_76);  p_encoder_layer_3_ffn_2_intermediate_dense_bias = aten_view_copy_default_152 = aten_permute_copy_default_76 = None
2025-03-21T20:24:13.1218657Z             aten_view_copy_default_153: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_56, [1, 8, 512]);  aten_addmm_default_56 = None
2025-03-21T20:24:13.1219432Z             
2025-03-21T20:24:13.1220374Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.1221808Z             aten_relu_default_14: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_153);  aten_view_copy_default_153 = None
2025-03-21T20:24:13.1222539Z             
2025-03-21T20:24:13.1223417Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.1224863Z             aten_view_copy_default_154: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_14, [8, 512]);  aten_relu_default_14 = None
2025-03-21T20:24:13.1226256Z             aten_permute_copy_default_77: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_3_ffn_2_output_dense_weight, [1, 0]);  p_encoder_layer_3_ffn_2_output_dense_weight = None
2025-03-21T20:24:13.1228158Z             aten_addmm_default_57: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_3_ffn_2_output_dense_bias, aten_view_copy_default_154, aten_permute_copy_default_77);  p_encoder_layer_3_ffn_2_output_dense_bias = aten_view_copy_default_154 = aten_permute_copy_default_77 = None
2025-03-21T20:24:13.1229929Z             aten_view_copy_default_155: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_57, [1, 8, 128]);  aten_addmm_default_57 = None
2025-03-21T20:24:13.1230702Z             
2025-03-21T20:24:13.1231723Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.1233380Z             aten_add_tensor_57: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_155, aten_add_tensor_56);  aten_view_copy_default_155 = aten_add_tensor_56 = None
2025-03-21T20:24:13.1234229Z             
2025-03-21T20:24:13.1235126Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.1236789Z             aten_mul_tensor_31: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_57, p_encoder_layer_3_ffn_2_output_layernorm_weight);  aten_add_tensor_57 = p_encoder_layer_3_ffn_2_output_layernorm_weight = None
2025-03-21T20:24:13.1238478Z             aten_add_tensor_58: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_31, p_encoder_layer_3_ffn_2_output_layernorm_bias);  aten_mul_tensor_31 = p_encoder_layer_3_ffn_2_output_layernorm_bias = None
2025-03-21T20:24:13.1239461Z             
2025-03-21T20:24:13.1240328Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.1241608Z             aten_view_copy_default_156: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_58, [8, 128])
2025-03-21T20:24:13.1242892Z             aten_permute_copy_default_78: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_3_intermediate_dense_weight, [1, 0]);  p_encoder_layer_3_intermediate_dense_weight = None
2025-03-21T20:24:13.1244834Z             aten_addmm_default_58: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_3_intermediate_dense_bias, aten_view_copy_default_156, aten_permute_copy_default_78);  p_encoder_layer_3_intermediate_dense_bias = aten_view_copy_default_156 = aten_permute_copy_default_78 = None
2025-03-21T20:24:13.1246595Z             aten_view_copy_default_157: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_58, [1, 8, 512]);  aten_addmm_default_58 = None
2025-03-21T20:24:13.1247368Z             
2025-03-21T20:24:13.1248307Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.1249740Z             aten_relu_default_15: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_157);  aten_view_copy_default_157 = None
2025-03-21T20:24:13.1250509Z             
2025-03-21T20:24:13.1251400Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:415 in forward, code: layer_output = self.dense(intermediate_states)
2025-03-21T20:24:13.1252822Z             aten_view_copy_default_158: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_15, [8, 512]);  aten_relu_default_15 = None
2025-03-21T20:24:13.1254180Z             aten_permute_copy_default_79: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_3_output_dense_weight, [1, 0]);  p_encoder_layer_3_output_dense_weight = None
2025-03-21T20:24:13.1256045Z             aten_addmm_default_59: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_3_output_dense_bias, aten_view_copy_default_158, aten_permute_copy_default_79);  p_encoder_layer_3_output_dense_bias = aten_view_copy_default_158 = aten_permute_copy_default_79 = None
2025-03-21T20:24:13.1257740Z             aten_view_copy_default_159: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_59, [1, 8, 128]);  aten_addmm_default_59 = None
2025-03-21T20:24:13.1258568Z             
2025-03-21T20:24:13.1259541Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:420 in forward, code: layer_output = self.LayerNorm(layer_output + residual_tensor_1)
2025-03-21T20:24:13.1261115Z             aten_add_tensor_59: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_159, aten_add_tensor_58);  aten_view_copy_default_159 = aten_add_tensor_58 = None
2025-03-21T20:24:13.1261964Z             
2025-03-21T20:24:13.1262859Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.1264484Z             aten_mul_tensor_32: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_59, p_encoder_layer_3_output_layernorm_weight);  aten_add_tensor_59 = p_encoder_layer_3_output_layernorm_weight = None
2025-03-21T20:24:13.1266091Z             aten_add_tensor_60: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_32, p_encoder_layer_3_output_layernorm_bias);  aten_mul_tensor_32 = p_encoder_layer_3_output_layernorm_bias = None
2025-03-21T20:24:13.1267045Z             
2025-03-21T20:24:13.1267931Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:395 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.1269316Z             aten_view_copy_default_160: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_60, [8, 128]);  aten_add_tensor_60 = None
2025-03-21T20:24:13.1270741Z             aten_permute_copy_default_80: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_3_output_bottleneck_dense_weight, [1, 0]);  p_encoder_layer_3_output_bottleneck_dense_weight = None
2025-03-21T20:24:13.1272753Z             aten_addmm_default_60: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_3_output_bottleneck_dense_bias, aten_view_copy_default_160, aten_permute_copy_default_80);  p_encoder_layer_3_output_bottleneck_dense_bias = aten_view_copy_default_160 = aten_permute_copy_default_80 = None
2025-03-21T20:24:13.1274645Z             aten_view_copy_default_161: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_60, [1, 8, 512]);  aten_addmm_default_60 = None
2025-03-21T20:24:13.1275429Z             
2025-03-21T20:24:13.1276320Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:396 in forward, code: layer_outputs = self.dropout(layer_outputs)
2025-03-21T20:24:13.1277736Z             aten_clone_default_12: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_161);  aten_view_copy_default_161 = None
2025-03-21T20:24:13.1278492Z             
2025-03-21T20:24:13.1279466Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:397 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.1281019Z             aten_add_tensor_61: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_12, aten_add_tensor_47);  aten_clone_default_12 = aten_add_tensor_47 = None
2025-03-21T20:24:13.1281863Z             
2025-03-21T20:24:13.1282762Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.1284530Z             aten_mul_tensor_33: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_61, p_encoder_layer_3_output_bottleneck_layernorm_weight);  aten_add_tensor_61 = p_encoder_layer_3_output_bottleneck_layernorm_weight = None
2025-03-21T20:24:13.1302439Z             aten_add_tensor_62: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_33, p_encoder_layer_3_output_bottleneck_layernorm_bias);  aten_mul_tensor_33 = p_encoder_layer_3_output_bottleneck_layernorm_bias = None
2025-03-21T20:24:13.1303639Z             
2025-03-21T20:24:13.1304534Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:432 in forward, code: layer_input = self.dense(hidden_states)
2025-03-21T20:24:13.1305828Z             aten_view_copy_default_162: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_62, [8, 512])
2025-03-21T20:24:13.1307161Z             aten_permute_copy_default_81: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_4_bottleneck_input_dense_weight, [1, 0]);  p_encoder_layer_4_bottleneck_input_dense_weight = None
2025-03-21T20:24:13.1309169Z             aten_addmm_default_61: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_4_bottleneck_input_dense_bias, aten_view_copy_default_162, aten_permute_copy_default_81);  p_encoder_layer_4_bottleneck_input_dense_bias = aten_view_copy_default_162 = aten_permute_copy_default_81 = None
2025-03-21T20:24:13.1310976Z             aten_view_copy_default_163: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_61, [1, 8, 128]);  aten_addmm_default_61 = None
2025-03-21T20:24:13.1311762Z             
2025-03-21T20:24:13.1312666Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.1314539Z             aten_mul_tensor_34: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_163, p_encoder_layer_4_bottleneck_input_layernorm_weight);  aten_view_copy_default_163 = p_encoder_layer_4_bottleneck_input_layernorm_weight = None
2025-03-21T20:24:13.1316388Z             aten_add_tensor_63: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_34, p_encoder_layer_4_bottleneck_input_layernorm_bias);  aten_mul_tensor_34 = p_encoder_layer_4_bottleneck_input_layernorm_bias = None
2025-03-21T20:24:13.1317424Z             
2025-03-21T20:24:13.1318295Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:432 in forward, code: layer_input = self.dense(hidden_states)
2025-03-21T20:24:13.1319549Z             aten_view_copy_default_164: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_62, [8, 512])
2025-03-21T20:24:13.1321039Z             aten_permute_copy_default_82: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_4_bottleneck_attention_dense_weight, [1, 0]);  p_encoder_layer_4_bottleneck_attention_dense_weight = None
2025-03-21T20:24:13.1323111Z             aten_addmm_default_62: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_4_bottleneck_attention_dense_bias, aten_view_copy_default_164, aten_permute_copy_default_82);  p_encoder_layer_4_bottleneck_attention_dense_bias = aten_view_copy_default_164 = aten_permute_copy_default_82 = None
2025-03-21T20:24:13.1324987Z             aten_view_copy_default_165: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_62, [1, 8, 128]);  aten_addmm_default_62 = None
2025-03-21T20:24:13.1325769Z             
2025-03-21T20:24:13.1326677Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.1328567Z             aten_mul_tensor_35: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_165, p_encoder_layer_4_bottleneck_attention_layernorm_weight);  aten_view_copy_default_165 = p_encoder_layer_4_bottleneck_attention_layernorm_weight = None
2025-03-21T20:24:13.1330482Z             aten_add_tensor_64: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_35, p_encoder_layer_4_bottleneck_attention_layernorm_bias);  aten_mul_tensor_35 = p_encoder_layer_4_bottleneck_attention_layernorm_bias = None
2025-03-21T20:24:13.1331553Z             
2025-03-21T20:24:13.1332452Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:275 in forward, code: mixed_query_layer = self.query(query_tensor)
2025-03-21T20:24:13.1333746Z             aten_view_copy_default_166: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_64, [8, 128])
2025-03-21T20:24:13.1335045Z             aten_permute_copy_default_83: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_4_attention_self_query_weight, [1, 0]);  p_encoder_layer_4_attention_self_query_weight = None
2025-03-21T20:24:13.1336999Z             aten_addmm_default_63: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_4_attention_self_query_bias, aten_view_copy_default_166, aten_permute_copy_default_83);  p_encoder_layer_4_attention_self_query_bias = aten_view_copy_default_166 = aten_permute_copy_default_83 = None
2025-03-21T20:24:13.1338761Z             aten_view_copy_default_167: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_63, [1, 8, 128]);  aten_addmm_default_63 = None
2025-03-21T20:24:13.1339521Z             
2025-03-21T20:24:13.1340388Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:276 in forward, code: mixed_key_layer = self.key(key_tensor)
2025-03-21T20:24:13.1341764Z             aten_view_copy_default_168: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_64, [8, 128]);  aten_add_tensor_64 = None
2025-03-21T20:24:13.1343147Z             aten_permute_copy_default_84: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_4_attention_self_key_weight, [1, 0]);  p_encoder_layer_4_attention_self_key_weight = None
2025-03-21T20:24:13.1345068Z             aten_addmm_default_64: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_4_attention_self_key_bias, aten_view_copy_default_168, aten_permute_copy_default_84);  p_encoder_layer_4_attention_self_key_bias = aten_view_copy_default_168 = aten_permute_copy_default_84 = None
2025-03-21T20:24:13.1346836Z             aten_view_copy_default_169: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_64, [1, 8, 128]);  aten_addmm_default_64 = None
2025-03-21T20:24:13.1347606Z             
2025-03-21T20:24:13.1348503Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:277 in forward, code: mixed_value_layer = self.value(value_tensor)
2025-03-21T20:24:13.1349794Z             aten_view_copy_default_170: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_62, [8, 512])
2025-03-21T20:24:13.1351125Z             aten_permute_copy_default_85: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_4_attention_self_value_weight, [1, 0]);  p_encoder_layer_4_attention_self_value_weight = None
2025-03-21T20:24:13.1353162Z             aten_addmm_default_65: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_4_attention_self_value_bias, aten_view_copy_default_170, aten_permute_copy_default_85);  p_encoder_layer_4_attention_self_value_bias = aten_view_copy_default_170 = aten_permute_copy_default_85 = None
2025-03-21T20:24:13.1354971Z             aten_view_copy_default_171: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_65, [1, 8, 128]);  aten_addmm_default_65 = None
2025-03-21T20:24:13.1355746Z             
2025-03-21T20:24:13.1356612Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.1358044Z             aten_view_copy_default_172: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_167, [1, 8, 4, 32]);  aten_view_copy_default_167 = None
2025-03-21T20:24:13.1358852Z             
2025-03-21T20:24:13.1359735Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.1361215Z             aten_permute_copy_default_86: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_172, [0, 2, 1, 3]);  aten_view_copy_default_172 = None
2025-03-21T20:24:13.1362047Z             
2025-03-21T20:24:13.1362893Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.1364317Z             aten_view_copy_default_173: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_169, [1, 8, 4, 32]);  aten_view_copy_default_169 = None
2025-03-21T20:24:13.1365128Z             
2025-03-21T20:24:13.1366006Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.1367490Z             aten_permute_copy_default_87: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_173, [0, 2, 1, 3]);  aten_view_copy_default_173 = None
2025-03-21T20:24:13.1368327Z             
2025-03-21T20:24:13.1369182Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.1370610Z             aten_view_copy_default_174: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_171, [1, 8, 4, 32]);  aten_view_copy_default_171 = None
2025-03-21T20:24:13.1371401Z             
2025-03-21T20:24:13.1372281Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.1373799Z             aten_permute_copy_default_88: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_174, [0, 2, 1, 3]);  aten_view_copy_default_174 = None
2025-03-21T20:24:13.1374900Z             
2025-03-21T20:24:13.1375931Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:284 in forward, code: attention_scores = torch.matmul(query_layer, key_layer.transpose(-1, -2))
2025-03-21T20:24:13.1377595Z             aten_permute_copy_default_89: "f32[1, 4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_permute_copy_default_87, [0, 1, 3, 2]);  aten_permute_copy_default_87 = None
2025-03-21T20:24:13.1378972Z             aten_expand_copy_default_16: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_86, [1, 4, 8, 32]);  aten_permute_copy_default_86 = None
2025-03-21T20:24:13.1380370Z             aten_view_copy_default_175: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_16, [4, 8, 32]);  aten_expand_copy_default_16 = None
2025-03-21T20:24:13.1381701Z             aten_expand_copy_default_17: "f32[1, 4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_89, [1, 4, 32, 8]);  aten_permute_copy_default_89 = None
2025-03-21T20:24:13.1383018Z             aten_view_copy_default_176: "f32[4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_17, [4, 32, 8]);  aten_expand_copy_default_17 = None
2025-03-21T20:24:13.1384422Z             aten_bmm_default_8: "f32[4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_175, aten_view_copy_default_176);  aten_view_copy_default_175 = aten_view_copy_default_176 = None
2025-03-21T20:24:13.1385766Z             aten_view_copy_default_177: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_8, [1, 4, 8, 8]);  aten_bmm_default_8 = None
2025-03-21T20:24:13.1386528Z             
2025-03-21T20:24:13.1387551Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:285 in forward, code: attention_scores = attention_scores / math.sqrt(self.attention_head_size)
2025-03-21T20:24:13.1389220Z             aten_div_tensor_4: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_div_Tensor(aten_view_copy_default_177, _lifted_tensor_constant7);  aten_view_copy_default_177 = _lifted_tensor_constant7 = None
2025-03-21T20:24:13.1390120Z             
2025-03-21T20:24:13.1391040Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:288 in forward, code: attention_scores = attention_scores + attention_mask
2025-03-21T20:24:13.1392422Z             aten_add_tensor_65: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_div_tensor_4, aten_mul_tensor);  aten_div_tensor_4 = None
2025-03-21T20:24:13.1393195Z             
2025-03-21T20:24:13.1394187Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:290 in forward, code: attention_probs = nn.functional.softmax(attention_scores, dim=-1)
2025-03-21T20:24:13.1395667Z             aten__softmax_default_4: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten__softmax_default(aten_add_tensor_65, -1, False);  aten_add_tensor_65 = None
2025-03-21T20:24:13.1396413Z             
2025-03-21T20:24:13.1397316Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:293 in forward, code: attention_probs = self.dropout(attention_probs)
2025-03-21T20:24:13.1398712Z             aten_clone_default_13: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten__softmax_default_4);  aten__softmax_default_4 = None
2025-03-21T20:24:13.1399459Z             
2025-03-21T20:24:13.1400397Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:297 in forward, code: context_layer = torch.matmul(attention_probs, value_layer)
2025-03-21T20:24:13.1401898Z             aten_expand_copy_default_18: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_clone_default_13, [1, 4, 8, 8]);  aten_clone_default_13 = None
2025-03-21T20:24:13.1403365Z             aten_view_copy_default_178: "f32[4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_18, [4, 8, 8]);  aten_expand_copy_default_18 = None
2025-03-21T20:24:13.1404695Z             aten_expand_copy_default_19: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_88, [1, 4, 8, 32]);  aten_permute_copy_default_88 = None
2025-03-21T20:24:13.1406026Z             aten_view_copy_default_179: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_19, [4, 8, 32]);  aten_expand_copy_default_19 = None
2025-03-21T20:24:13.1407520Z             aten_bmm_default_9: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_178, aten_view_copy_default_179);  aten_view_copy_default_178 = aten_view_copy_default_179 = None
2025-03-21T20:24:13.1408877Z             aten_view_copy_default_180: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_9, [1, 4, 8, 32]);  aten_bmm_default_9 = None
2025-03-21T20:24:13.1409634Z             
2025-03-21T20:24:13.1410594Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:298 in forward, code: context_layer = context_layer.permute(0, 2, 1, 3).contiguous()
2025-03-21T20:24:13.1412147Z             aten_permute_copy_default_90: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_180, [0, 2, 1, 3]);  aten_view_copy_default_180 = None
2025-03-21T20:24:13.1413589Z             aten_clone_default_14: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_permute_copy_default_90, memory_format = torch.contiguous_format);  aten_permute_copy_default_90 = None
2025-03-21T20:24:13.1414512Z             
2025-03-21T20:24:13.1415466Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:300 in forward, code: context_layer = context_layer.view(new_context_layer_shape)
2025-03-21T20:24:13.1416955Z             aten_view_copy_default_181: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_14, [1, 8, 128]);  aten_clone_default_14 = None
2025-03-21T20:24:13.1417728Z             
2025-03-21T20:24:13.1418610Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:315 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.1420054Z             aten_view_copy_default_182: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_181, [8, 128]);  aten_view_copy_default_181 = None
2025-03-21T20:24:13.1421526Z             aten_permute_copy_default_91: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_4_attention_output_dense_weight, [1, 0]);  p_encoder_layer_4_attention_output_dense_weight = None
2025-03-21T20:24:13.1423530Z             aten_addmm_default_66: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_4_attention_output_dense_bias, aten_view_copy_default_182, aten_permute_copy_default_91);  p_encoder_layer_4_attention_output_dense_bias = aten_view_copy_default_182 = aten_permute_copy_default_91 = None
2025-03-21T20:24:13.1425342Z             aten_view_copy_default_183: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_66, [1, 8, 128]);  aten_addmm_default_66 = None
2025-03-21T20:24:13.1426110Z             
2025-03-21T20:24:13.1427077Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:318 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.1428647Z             aten_add_tensor_66: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_183, aten_add_tensor_63);  aten_view_copy_default_183 = aten_add_tensor_63 = None
2025-03-21T20:24:13.1429534Z             
2025-03-21T20:24:13.1430430Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.1432140Z             aten_mul_tensor_36: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_66, p_encoder_layer_4_attention_output_layernorm_weight);  aten_add_tensor_66 = p_encoder_layer_4_attention_output_layernorm_weight = None
2025-03-21T20:24:13.1434071Z             aten_add_tensor_67: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_36, p_encoder_layer_4_attention_output_layernorm_bias);  aten_mul_tensor_36 = p_encoder_layer_4_attention_output_layernorm_bias = None
2025-03-21T20:24:13.1435102Z             
2025-03-21T20:24:13.1435975Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.1437256Z             aten_view_copy_default_184: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_67, [8, 128])
2025-03-21T20:24:13.1438585Z             aten_permute_copy_default_92: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_4_ffn_0_intermediate_dense_weight, [1, 0]);  p_encoder_layer_4_ffn_0_intermediate_dense_weight = None
2025-03-21T20:24:13.1440607Z             aten_addmm_default_67: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_4_ffn_0_intermediate_dense_bias, aten_view_copy_default_184, aten_permute_copy_default_92);  p_encoder_layer_4_ffn_0_intermediate_dense_bias = aten_view_copy_default_184 = aten_permute_copy_default_92 = None
2025-03-21T20:24:13.1442390Z             aten_view_copy_default_185: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_67, [1, 8, 512]);  aten_addmm_default_67 = None
2025-03-21T20:24:13.1443162Z             
2025-03-21T20:24:13.1444101Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.1445529Z             aten_relu_default_16: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_185);  aten_view_copy_default_185 = None
2025-03-21T20:24:13.1445626Z             
2025-03-21T20:24:13.1446369Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.1446910Z             aten_view_copy_default_186: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_16, [8, 512]);  aten_relu_default_16 = None
2025-03-21T20:24:13.1447653Z             aten_permute_copy_default_93: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_4_ffn_0_output_dense_weight, [1, 0]);  p_encoder_layer_4_ffn_0_output_dense_weight = None
2025-03-21T20:24:13.1448709Z             aten_addmm_default_68: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_4_ffn_0_output_dense_bias, aten_view_copy_default_186, aten_permute_copy_default_93);  p_encoder_layer_4_ffn_0_output_dense_bias = aten_view_copy_default_186 = aten_permute_copy_default_93 = None
2025-03-21T20:24:13.1449303Z             aten_view_copy_default_187: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_68, [1, 8, 128]);  aten_addmm_default_68 = None
2025-03-21T20:24:13.1449397Z             
2025-03-21T20:24:13.1450241Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.1450897Z             aten_add_tensor_68: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_187, aten_add_tensor_67);  aten_view_copy_default_187 = aten_add_tensor_67 = None
2025-03-21T20:24:13.1451003Z             
2025-03-21T20:24:13.1451755Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.1452607Z             aten_mul_tensor_37: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_68, p_encoder_layer_4_ffn_0_output_layernorm_weight);  aten_add_tensor_68 = p_encoder_layer_4_ffn_0_output_layernorm_weight = None
2025-03-21T20:24:13.1453376Z             aten_add_tensor_69: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_37, p_encoder_layer_4_ffn_0_output_layernorm_bias);  aten_mul_tensor_37 = p_encoder_layer_4_ffn_0_output_layernorm_bias = None
2025-03-21T20:24:13.1453485Z             
2025-03-21T20:24:13.1454223Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.1454653Z             aten_view_copy_default_188: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_69, [8, 128])
2025-03-21T20:24:13.1455443Z             aten_permute_copy_default_94: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_4_ffn_1_intermediate_dense_weight, [1, 0]);  p_encoder_layer_4_ffn_1_intermediate_dense_weight = None
2025-03-21T20:24:13.1456558Z             aten_addmm_default_69: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_4_ffn_1_intermediate_dense_bias, aten_view_copy_default_188, aten_permute_copy_default_94);  p_encoder_layer_4_ffn_1_intermediate_dense_bias = aten_view_copy_default_188 = aten_permute_copy_default_94 = None
2025-03-21T20:24:13.1457130Z             aten_view_copy_default_189: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_69, [1, 8, 512]);  aten_addmm_default_69 = None
2025-03-21T20:24:13.1457224Z             
2025-03-21T20:24:13.1458037Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.1458557Z             aten_relu_default_17: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_189);  aten_view_copy_default_189 = None
2025-03-21T20:24:13.1458662Z             
2025-03-21T20:24:13.1459397Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.1459951Z             aten_view_copy_default_190: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_17, [8, 512]);  aten_relu_default_17 = None
2025-03-21T20:24:13.1460674Z             aten_permute_copy_default_95: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_4_ffn_1_output_dense_weight, [1, 0]);  p_encoder_layer_4_ffn_1_output_dense_weight = None
2025-03-21T20:24:13.1461791Z             aten_addmm_default_70: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_4_ffn_1_output_dense_bias, aten_view_copy_default_190, aten_permute_copy_default_95);  p_encoder_layer_4_ffn_1_output_dense_bias = aten_view_copy_default_190 = aten_permute_copy_default_95 = None
2025-03-21T20:24:13.1462350Z             aten_view_copy_default_191: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_70, [1, 8, 128]);  aten_addmm_default_70 = None
2025-03-21T20:24:13.1462481Z             
2025-03-21T20:24:13.1463315Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.1464005Z             aten_add_tensor_70: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_191, aten_add_tensor_69);  aten_view_copy_default_191 = aten_add_tensor_69 = None
2025-03-21T20:24:13.1464100Z             
2025-03-21T20:24:13.1464860Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.1465651Z             aten_mul_tensor_38: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_70, p_encoder_layer_4_ffn_1_output_layernorm_weight);  aten_add_tensor_70 = p_encoder_layer_4_ffn_1_output_layernorm_weight = None
2025-03-21T20:24:13.1466434Z             aten_add_tensor_71: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_38, p_encoder_layer_4_ffn_1_output_layernorm_bias);  aten_mul_tensor_38 = p_encoder_layer_4_ffn_1_output_layernorm_bias = None
2025-03-21T20:24:13.1466528Z             
2025-03-21T20:24:13.1467277Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.1467727Z             aten_view_copy_default_192: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_71, [8, 128])
2025-03-21T20:24:13.1468797Z             aten_permute_copy_default_96: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_4_ffn_2_intermediate_dense_weight, [1, 0]);  p_encoder_layer_4_ffn_2_intermediate_dense_weight = None
2025-03-21T20:24:13.1469935Z             aten_addmm_default_71: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_4_ffn_2_intermediate_dense_bias, aten_view_copy_default_192, aten_permute_copy_default_96);  p_encoder_layer_4_ffn_2_intermediate_dense_bias = aten_view_copy_default_192 = aten_permute_copy_default_96 = None
2025-03-21T20:24:13.1470516Z             aten_view_copy_default_193: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_71, [1, 8, 512]);  aten_addmm_default_71 = None
2025-03-21T20:24:13.1470610Z             
2025-03-21T20:24:13.1471408Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.1471937Z             aten_relu_default_18: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_193);  aten_view_copy_default_193 = None
2025-03-21T20:24:13.1472032Z             
2025-03-21T20:24:13.1472780Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.1473451Z             aten_view_copy_default_194: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_18, [8, 512]);  aten_relu_default_18 = None
2025-03-21T20:24:13.1474199Z             aten_permute_copy_default_97: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_4_ffn_2_output_dense_weight, [1, 0]);  p_encoder_layer_4_ffn_2_output_dense_weight = None
2025-03-21T20:24:13.1475252Z             aten_addmm_default_72: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_4_ffn_2_output_dense_bias, aten_view_copy_default_194, aten_permute_copy_default_97);  p_encoder_layer_4_ffn_2_output_dense_bias = aten_view_copy_default_194 = aten_permute_copy_default_97 = None
2025-03-21T20:24:13.1475858Z             aten_view_copy_default_195: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_72, [1, 8, 128]);  aten_addmm_default_72 = None
2025-03-21T20:24:13.1475957Z             
2025-03-21T20:24:13.1476841Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.1477474Z             aten_add_tensor_72: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_195, aten_add_tensor_71);  aten_view_copy_default_195 = aten_add_tensor_71 = None
2025-03-21T20:24:13.1477605Z             
2025-03-21T20:24:13.1478364Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.1479166Z             aten_mul_tensor_39: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_72, p_encoder_layer_4_ffn_2_output_layernorm_weight);  aten_add_tensor_72 = p_encoder_layer_4_ffn_2_output_layernorm_weight = None
2025-03-21T20:24:13.1479943Z             aten_add_tensor_73: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_39, p_encoder_layer_4_ffn_2_output_layernorm_bias);  aten_mul_tensor_39 = p_encoder_layer_4_ffn_2_output_layernorm_bias = None
2025-03-21T20:24:13.1480049Z             
2025-03-21T20:24:13.1480783Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.1481227Z             aten_view_copy_default_196: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_73, [8, 128])
2025-03-21T20:24:13.1481965Z             aten_permute_copy_default_98: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_4_intermediate_dense_weight, [1, 0]);  p_encoder_layer_4_intermediate_dense_weight = None
2025-03-21T20:24:13.1483061Z             aten_addmm_default_73: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_4_intermediate_dense_bias, aten_view_copy_default_196, aten_permute_copy_default_98);  p_encoder_layer_4_intermediate_dense_bias = aten_view_copy_default_196 = aten_permute_copy_default_98 = None
2025-03-21T20:24:13.1483619Z             aten_view_copy_default_197: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_73, [1, 8, 512]);  aten_addmm_default_73 = None
2025-03-21T20:24:13.1483725Z             
2025-03-21T20:24:13.1484521Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.1485038Z             aten_relu_default_19: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_197);  aten_view_copy_default_197 = None
2025-03-21T20:24:13.1485169Z             
2025-03-21T20:24:13.1485927Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:415 in forward, code: layer_output = self.dense(intermediate_states)
2025-03-21T20:24:13.1486482Z             aten_view_copy_default_198: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_19, [8, 512]);  aten_relu_default_19 = None
2025-03-21T20:24:13.1487171Z             aten_permute_copy_default_99: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_4_output_dense_weight, [1, 0]);  p_encoder_layer_4_output_dense_weight = None
2025-03-21T20:24:13.1488230Z             aten_addmm_default_74: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_4_output_dense_bias, aten_view_copy_default_198, aten_permute_copy_default_99);  p_encoder_layer_4_output_dense_bias = aten_view_copy_default_198 = aten_permute_copy_default_99 = None
2025-03-21T20:24:13.1488833Z             aten_view_copy_default_199: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_74, [1, 8, 128]);  aten_addmm_default_74 = None
2025-03-21T20:24:13.1488944Z             
2025-03-21T20:24:13.1489769Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:420 in forward, code: layer_output = self.LayerNorm(layer_output + residual_tensor_1)
2025-03-21T20:24:13.1490410Z             aten_add_tensor_74: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_199, aten_add_tensor_73);  aten_view_copy_default_199 = aten_add_tensor_73 = None
2025-03-21T20:24:13.1490505Z             
2025-03-21T20:24:13.1491265Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.1492027Z             aten_mul_tensor_40: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_74, p_encoder_layer_4_output_layernorm_weight);  aten_add_tensor_74 = p_encoder_layer_4_output_layernorm_weight = None
2025-03-21T20:24:13.1492773Z             aten_add_tensor_75: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_40, p_encoder_layer_4_output_layernorm_bias);  aten_mul_tensor_40 = p_encoder_layer_4_output_layernorm_bias = None
2025-03-21T20:24:13.1492865Z             
2025-03-21T20:24:13.1493616Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:395 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.1494138Z             aten_view_copy_default_200: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_75, [8, 128]);  aten_add_tensor_75 = None
2025-03-21T20:24:13.1494932Z             aten_permute_copy_default_100: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_4_output_bottleneck_dense_weight, [1, 0]);  p_encoder_layer_4_output_bottleneck_dense_weight = None
2025-03-21T20:24:13.1496061Z             aten_addmm_default_75: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_4_output_bottleneck_dense_bias, aten_view_copy_default_200, aten_permute_copy_default_100);  p_encoder_layer_4_output_bottleneck_dense_bias = aten_view_copy_default_200 = aten_permute_copy_default_100 = None
2025-03-21T20:24:13.1496633Z             aten_view_copy_default_201: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_75, [1, 8, 512]);  aten_addmm_default_75 = None
2025-03-21T20:24:13.1496725Z             
2025-03-21T20:24:13.1497474Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:396 in forward, code: layer_outputs = self.dropout(layer_outputs)
2025-03-21T20:24:13.1498040Z             aten_clone_default_15: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_201);  aten_view_copy_default_201 = None
2025-03-21T20:24:13.1498132Z             
2025-03-21T20:24:13.1498969Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:397 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.1499565Z             aten_add_tensor_76: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_15, aten_add_tensor_62);  aten_clone_default_15 = aten_add_tensor_62 = None
2025-03-21T20:24:13.1499697Z             
2025-03-21T20:24:13.1500451Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.1501363Z             aten_mul_tensor_41: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_76, p_encoder_layer_4_output_bottleneck_layernorm_weight);  aten_add_tensor_76 = p_encoder_layer_4_output_bottleneck_layernorm_weight = None
2025-03-21T20:24:13.1502347Z             aten_add_tensor_77: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_41, p_encoder_layer_4_output_bottleneck_layernorm_bias);  aten_mul_tensor_41 = p_encoder_layer_4_output_bottleneck_layernorm_bias = None
2025-03-21T20:24:13.1502455Z             
2025-03-21T20:24:13.1503187Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:432 in forward, code: layer_input = self.dense(hidden_states)
2025-03-21T20:24:13.1503626Z             aten_view_copy_default_202: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_77, [8, 512])
2025-03-21T20:24:13.1504421Z             aten_permute_copy_default_101: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_5_bottleneck_input_dense_weight, [1, 0]);  p_encoder_layer_5_bottleneck_input_dense_weight = None
2025-03-21T20:24:13.1505555Z             aten_addmm_default_76: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_5_bottleneck_input_dense_bias, aten_view_copy_default_202, aten_permute_copy_default_101);  p_encoder_layer_5_bottleneck_input_dense_bias = aten_view_copy_default_202 = aten_permute_copy_default_101 = None
2025-03-21T20:24:13.1506119Z             aten_view_copy_default_203: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_76, [1, 8, 128]);  aten_addmm_default_76 = None
2025-03-21T20:24:13.1506220Z             
2025-03-21T20:24:13.1506971Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.1507887Z             aten_mul_tensor_42: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_203, p_encoder_layer_5_bottleneck_input_layernorm_weight);  aten_view_copy_default_203 = p_encoder_layer_5_bottleneck_input_layernorm_weight = None
2025-03-21T20:24:13.1508716Z             aten_add_tensor_78: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_42, p_encoder_layer_5_bottleneck_input_layernorm_bias);  aten_mul_tensor_42 = p_encoder_layer_5_bottleneck_input_layernorm_bias = None
2025-03-21T20:24:13.1508805Z             
2025-03-21T20:24:13.1509546Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:432 in forward, code: layer_input = self.dense(hidden_states)
2025-03-21T20:24:13.1509970Z             aten_view_copy_default_204: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_77, [8, 512])
2025-03-21T20:24:13.1510849Z             aten_permute_copy_default_102: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_5_bottleneck_attention_dense_weight, [1, 0]);  p_encoder_layer_5_bottleneck_attention_dense_weight = None
2025-03-21T20:24:13.1511999Z             aten_addmm_default_77: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_5_bottleneck_attention_dense_bias, aten_view_copy_default_204, aten_permute_copy_default_102);  p_encoder_layer_5_bottleneck_attention_dense_bias = aten_view_copy_default_204 = aten_permute_copy_default_102 = None
2025-03-21T20:24:13.1512601Z             aten_view_copy_default_205: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_77, [1, 8, 128]);  aten_addmm_default_77 = None
2025-03-21T20:24:13.1512693Z             
2025-03-21T20:24:13.1513548Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.1514558Z             aten_mul_tensor_43: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_205, p_encoder_layer_5_bottleneck_attention_layernorm_weight);  aten_view_copy_default_205 = p_encoder_layer_5_bottleneck_attention_layernorm_weight = None
2025-03-21T20:24:13.1515424Z             aten_add_tensor_79: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_43, p_encoder_layer_5_bottleneck_attention_layernorm_bias);  aten_mul_tensor_43 = p_encoder_layer_5_bottleneck_attention_layernorm_bias = None
2025-03-21T20:24:13.1515524Z             
2025-03-21T20:24:13.1516287Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:275 in forward, code: mixed_query_layer = self.query(query_tensor)
2025-03-21T20:24:13.1516715Z             aten_view_copy_default_206: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_79, [8, 128])
2025-03-21T20:24:13.1517479Z             aten_permute_copy_default_103: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_5_attention_self_query_weight, [1, 0]);  p_encoder_layer_5_attention_self_query_weight = None
2025-03-21T20:24:13.1518566Z             aten_addmm_default_78: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_5_attention_self_query_bias, aten_view_copy_default_206, aten_permute_copy_default_103);  p_encoder_layer_5_attention_self_query_bias = aten_view_copy_default_206 = aten_permute_copy_default_103 = None
2025-03-21T20:24:13.1519140Z             aten_view_copy_default_207: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_78, [1, 8, 128]);  aten_addmm_default_78 = None
2025-03-21T20:24:13.1519243Z             
2025-03-21T20:24:13.1519975Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:276 in forward, code: mixed_key_layer = self.key(key_tensor)
2025-03-21T20:24:13.1520506Z             aten_view_copy_default_208: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_79, [8, 128]);  aten_add_tensor_79 = None
2025-03-21T20:24:13.1521250Z             aten_permute_copy_default_104: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_5_attention_self_key_weight, [1, 0]);  p_encoder_layer_5_attention_self_key_weight = None
2025-03-21T20:24:13.1522316Z             aten_addmm_default_79: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_5_attention_self_key_bias, aten_view_copy_default_208, aten_permute_copy_default_104);  p_encoder_layer_5_attention_self_key_bias = aten_view_copy_default_208 = aten_permute_copy_default_104 = None
2025-03-21T20:24:13.1522910Z             aten_view_copy_default_209: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_79, [1, 8, 128]);  aten_addmm_default_79 = None
2025-03-21T20:24:13.1523008Z             
2025-03-21T20:24:13.1523761Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:277 in forward, code: mixed_value_layer = self.value(value_tensor)
2025-03-21T20:24:13.1524178Z             aten_view_copy_default_210: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_77, [8, 512])
2025-03-21T20:24:13.1524964Z             aten_permute_copy_default_105: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_5_attention_self_value_weight, [1, 0]);  p_encoder_layer_5_attention_self_value_weight = None
2025-03-21T20:24:13.1526091Z             aten_addmm_default_80: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_5_attention_self_value_bias, aten_view_copy_default_210, aten_permute_copy_default_105);  p_encoder_layer_5_attention_self_value_bias = aten_view_copy_default_210 = aten_permute_copy_default_105 = None
2025-03-21T20:24:13.1526657Z             aten_view_copy_default_211: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_80, [1, 8, 128]);  aten_addmm_default_80 = None
2025-03-21T20:24:13.1526749Z             
2025-03-21T20:24:13.1527478Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.1528064Z             aten_view_copy_default_212: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_207, [1, 8, 4, 32]);  aten_view_copy_default_207 = None
2025-03-21T20:24:13.1528157Z             
2025-03-21T20:24:13.1528897Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.1529518Z             aten_permute_copy_default_106: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_212, [0, 2, 1, 3]);  aten_view_copy_default_212 = None
2025-03-21T20:24:13.1529616Z             
2025-03-21T20:24:13.1530325Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.1530922Z             aten_view_copy_default_213: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_209, [1, 8, 4, 32]);  aten_view_copy_default_209 = None
2025-03-21T20:24:13.1531013Z             
2025-03-21T20:24:13.1531763Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.1532379Z             aten_permute_copy_default_107: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_213, [0, 2, 1, 3]);  aten_view_copy_default_213 = None
2025-03-21T20:24:13.1532481Z             
2025-03-21T20:24:13.1533190Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.1533785Z             aten_view_copy_default_214: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_211, [1, 8, 4, 32]);  aten_view_copy_default_211 = None
2025-03-21T20:24:13.1533871Z             
2025-03-21T20:24:13.1534605Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.1535268Z             aten_permute_copy_default_108: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_214, [0, 2, 1, 3]);  aten_view_copy_default_214 = None
2025-03-21T20:24:13.1535357Z             
2025-03-21T20:24:13.1536243Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:284 in forward, code: attention_scores = torch.matmul(query_layer, key_layer.transpose(-1, -2))
2025-03-21T20:24:13.1536903Z             aten_permute_copy_default_109: "f32[1, 4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_permute_copy_default_107, [0, 1, 3, 2]);  aten_permute_copy_default_107 = None
2025-03-21T20:24:13.1537536Z             aten_expand_copy_default_20: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_106, [1, 4, 8, 32]);  aten_permute_copy_default_106 = None
2025-03-21T20:24:13.1538170Z             aten_view_copy_default_215: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_20, [4, 8, 32]);  aten_expand_copy_default_20 = None
2025-03-21T20:24:13.1538808Z             aten_expand_copy_default_21: "f32[1, 4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_109, [1, 4, 32, 8]);  aten_permute_copy_default_109 = None
2025-03-21T20:24:13.1539394Z             aten_view_copy_default_216: "f32[4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_21, [4, 32, 8]);  aten_expand_copy_default_21 = None
2025-03-21T20:24:13.1540099Z             aten_bmm_default_10: "f32[4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_215, aten_view_copy_default_216);  aten_view_copy_default_215 = aten_view_copy_default_216 = None
2025-03-21T20:24:13.1540636Z             aten_view_copy_default_217: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_10, [1, 4, 8, 8]);  aten_bmm_default_10 = None
2025-03-21T20:24:13.1540744Z             
2025-03-21T20:24:13.1541615Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:285 in forward, code: attention_scores = attention_scores / math.sqrt(self.attention_head_size)
2025-03-21T20:24:13.1542299Z             aten_div_tensor_5: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_div_Tensor(aten_view_copy_default_217, _lifted_tensor_constant8);  aten_view_copy_default_217 = _lifted_tensor_constant8 = None
2025-03-21T20:24:13.1542393Z             
2025-03-21T20:24:13.1543176Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:288 in forward, code: attention_scores = attention_scores + attention_mask
2025-03-21T20:24:13.1543661Z             aten_add_tensor_80: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_div_tensor_5, aten_mul_tensor);  aten_div_tensor_5 = None
2025-03-21T20:24:13.1543758Z             
2025-03-21T20:24:13.1544600Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:290 in forward, code: attention_probs = nn.functional.softmax(attention_scores, dim=-1)
2025-03-21T20:24:13.1545121Z             aten__softmax_default_5: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten__softmax_default(aten_add_tensor_80, -1, False);  aten_add_tensor_80 = None
2025-03-21T20:24:13.1545220Z             
2025-03-21T20:24:13.1545982Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:293 in forward, code: attention_probs = self.dropout(attention_probs)
2025-03-21T20:24:13.1546480Z             aten_clone_default_16: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten__softmax_default_5);  aten__softmax_default_5 = None
2025-03-21T20:24:13.1546598Z             
2025-03-21T20:24:13.1547408Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:297 in forward, code: context_layer = torch.matmul(attention_probs, value_layer)
2025-03-21T20:24:13.1547973Z             aten_expand_copy_default_22: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_clone_default_16, [1, 4, 8, 8]);  aten_clone_default_16 = None
2025-03-21T20:24:13.1548594Z             aten_view_copy_default_218: "f32[4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_22, [4, 8, 8]);  aten_expand_copy_default_22 = None
2025-03-21T20:24:13.1549217Z             aten_expand_copy_default_23: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_108, [1, 4, 8, 32]);  aten_permute_copy_default_108 = None
2025-03-21T20:24:13.1549857Z             aten_view_copy_default_219: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_23, [4, 8, 32]);  aten_expand_copy_default_23 = None
2025-03-21T20:24:13.1550549Z             aten_bmm_default_11: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_218, aten_view_copy_default_219);  aten_view_copy_default_218 = aten_view_copy_default_219 = None
2025-03-21T20:24:13.1551117Z             aten_view_copy_default_220: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_11, [1, 4, 8, 32]);  aten_bmm_default_11 = None
2025-03-21T20:24:13.1551210Z             
2025-03-21T20:24:13.1552033Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:298 in forward, code: context_layer = context_layer.permute(0, 2, 1, 3).contiguous()
2025-03-21T20:24:13.1552648Z             aten_permute_copy_default_110: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_220, [0, 2, 1, 3]);  aten_view_copy_default_220 = None
2025-03-21T20:24:13.1553462Z             aten_clone_default_17: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_permute_copy_default_110, memory_format = torch.contiguous_format);  aten_permute_copy_default_110 = None
2025-03-21T20:24:13.1553558Z             
2025-03-21T20:24:13.1554372Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:300 in forward, code: context_layer = context_layer.view(new_context_layer_shape)
2025-03-21T20:24:13.1554927Z             aten_view_copy_default_221: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_17, [1, 8, 128]);  aten_clone_default_17 = None
2025-03-21T20:24:13.1555022Z             
2025-03-21T20:24:13.1555766Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:315 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.1556348Z             aten_view_copy_default_222: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_221, [8, 128]);  aten_view_copy_default_221 = None
2025-03-21T20:24:13.1557126Z             aten_permute_copy_default_111: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_5_attention_output_dense_weight, [1, 0]);  p_encoder_layer_5_attention_output_dense_weight = None
2025-03-21T20:24:13.1558236Z             aten_addmm_default_81: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_5_attention_output_dense_bias, aten_view_copy_default_222, aten_permute_copy_default_111);  p_encoder_layer_5_attention_output_dense_bias = aten_view_copy_default_222 = aten_permute_copy_default_111 = None
2025-03-21T20:24:13.1558836Z             aten_view_copy_default_223: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_81, [1, 8, 128]);  aten_addmm_default_81 = None
2025-03-21T20:24:13.1558929Z             
2025-03-21T20:24:13.1559815Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:318 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.1560493Z             aten_add_tensor_81: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_223, aten_add_tensor_78);  aten_view_copy_default_223 = aten_add_tensor_78 = None
2025-03-21T20:24:13.1560628Z             
2025-03-21T20:24:13.1561375Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.1562272Z             aten_mul_tensor_44: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_81, p_encoder_layer_5_attention_output_layernorm_weight);  aten_add_tensor_81 = p_encoder_layer_5_attention_output_layernorm_weight = None
2025-03-21T20:24:13.1563076Z             aten_add_tensor_82: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_44, p_encoder_layer_5_attention_output_layernorm_bias);  aten_mul_tensor_44 = p_encoder_layer_5_attention_output_layernorm_bias = None
2025-03-21T20:24:13.1563182Z             
2025-03-21T20:24:13.1563911Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.1564339Z             aten_view_copy_default_224: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_82, [8, 128])
2025-03-21T20:24:13.1565130Z             aten_permute_copy_default_112: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_5_ffn_0_intermediate_dense_weight, [1, 0]);  p_encoder_layer_5_ffn_0_intermediate_dense_weight = None
2025-03-21T20:24:13.1566254Z             aten_addmm_default_82: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_5_ffn_0_intermediate_dense_bias, aten_view_copy_default_224, aten_permute_copy_default_112);  p_encoder_layer_5_ffn_0_intermediate_dense_bias = aten_view_copy_default_224 = aten_permute_copy_default_112 = None
2025-03-21T20:24:13.1566812Z             aten_view_copy_default_225: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_82, [1, 8, 512]);  aten_addmm_default_82 = None
2025-03-21T20:24:13.1566916Z             
2025-03-21T20:24:13.1567711Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.1568241Z             aten_relu_default_20: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_225);  aten_view_copy_default_225 = None
2025-03-21T20:24:13.1568335Z             
2025-03-21T20:24:13.1569088Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.1569632Z             aten_view_copy_default_226: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_20, [8, 512]);  aten_relu_default_20 = None
2025-03-21T20:24:13.1570361Z             aten_permute_copy_default_113: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_5_ffn_0_output_dense_weight, [1, 0]);  p_encoder_layer_5_ffn_0_output_dense_weight = None
2025-03-21T20:24:13.1571452Z             aten_addmm_default_83: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_5_ffn_0_output_dense_bias, aten_view_copy_default_226, aten_permute_copy_default_113);  p_encoder_layer_5_ffn_0_output_dense_bias = aten_view_copy_default_226 = aten_permute_copy_default_113 = None
2025-03-21T20:24:13.1572004Z             aten_view_copy_default_227: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_83, [1, 8, 128]);  aten_addmm_default_83 = None
2025-03-21T20:24:13.1572103Z             
2025-03-21T20:24:13.1573073Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.1573717Z             aten_add_tensor_83: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_227, aten_add_tensor_82);  aten_view_copy_default_227 = aten_add_tensor_82 = None
2025-03-21T20:24:13.1573813Z             
2025-03-21T20:24:13.1574646Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.1575434Z             aten_mul_tensor_45: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_83, p_encoder_layer_5_ffn_0_output_layernorm_weight);  aten_add_tensor_83 = p_encoder_layer_5_ffn_0_output_layernorm_weight = None
2025-03-21T20:24:13.1576207Z             aten_add_tensor_84: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_45, p_encoder_layer_5_ffn_0_output_layernorm_bias);  aten_mul_tensor_45 = p_encoder_layer_5_ffn_0_output_layernorm_bias = None
2025-03-21T20:24:13.1576298Z             
2025-03-21T20:24:13.1577041Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.1577468Z             aten_view_copy_default_228: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_84, [8, 128])
2025-03-21T20:24:13.1578258Z             aten_permute_copy_default_114: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_5_ffn_1_intermediate_dense_weight, [1, 0]);  p_encoder_layer_5_ffn_1_intermediate_dense_weight = None
2025-03-21T20:24:13.1579367Z             aten_addmm_default_84: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_5_ffn_1_intermediate_dense_bias, aten_view_copy_default_228, aten_permute_copy_default_114);  p_encoder_layer_5_ffn_1_intermediate_dense_bias = aten_view_copy_default_228 = aten_permute_copy_default_114 = None
2025-03-21T20:24:13.1579933Z             aten_view_copy_default_229: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_84, [1, 8, 512]);  aten_addmm_default_84 = None
2025-03-21T20:24:13.1580028Z             
2025-03-21T20:24:13.1580842Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.1581355Z             aten_relu_default_21: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_229);  aten_view_copy_default_229 = None
2025-03-21T20:24:13.1581460Z             
2025-03-21T20:24:13.1582192Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.1582726Z             aten_view_copy_default_230: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_21, [8, 512]);  aten_relu_default_21 = None
2025-03-21T20:24:13.1583490Z             aten_permute_copy_default_115: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_5_ffn_1_output_dense_weight, [1, 0]);  p_encoder_layer_5_ffn_1_output_dense_weight = None
2025-03-21T20:24:13.1584555Z             aten_addmm_default_85: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_5_ffn_1_output_dense_bias, aten_view_copy_default_230, aten_permute_copy_default_115);  p_encoder_layer_5_ffn_1_output_dense_bias = aten_view_copy_default_230 = aten_permute_copy_default_115 = None
2025-03-21T20:24:13.1585133Z             aten_view_copy_default_231: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_85, [1, 8, 128]);  aten_addmm_default_85 = None
2025-03-21T20:24:13.1585229Z             
2025-03-21T20:24:13.1586062Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.1586741Z             aten_add_tensor_85: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_231, aten_add_tensor_84);  aten_view_copy_default_231 = aten_add_tensor_84 = None
2025-03-21T20:24:13.1586849Z             
2025-03-21T20:24:13.1587598Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.1588422Z             aten_mul_tensor_46: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_85, p_encoder_layer_5_ffn_1_output_layernorm_weight);  aten_add_tensor_85 = p_encoder_layer_5_ffn_1_output_layernorm_weight = None
2025-03-21T20:24:13.1589179Z             aten_add_tensor_86: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_46, p_encoder_layer_5_ffn_1_output_layernorm_bias);  aten_mul_tensor_46 = p_encoder_layer_5_ffn_1_output_layernorm_bias = None
2025-03-21T20:24:13.1589286Z             
2025-03-21T20:24:13.1590025Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.1590458Z             aten_view_copy_default_232: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_86, [8, 128])
2025-03-21T20:24:13.1591237Z             aten_permute_copy_default_116: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_5_ffn_2_intermediate_dense_weight, [1, 0]);  p_encoder_layer_5_ffn_2_intermediate_dense_weight = None
2025-03-21T20:24:13.1592354Z             aten_addmm_default_86: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_5_ffn_2_intermediate_dense_bias, aten_view_copy_default_232, aten_permute_copy_default_116);  p_encoder_layer_5_ffn_2_intermediate_dense_bias = aten_view_copy_default_232 = aten_permute_copy_default_116 = None
2025-03-21T20:24:13.1592911Z             aten_view_copy_default_233: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_86, [1, 8, 512]);  aten_addmm_default_86 = None
2025-03-21T20:24:13.1593094Z             
2025-03-21T20:24:13.1593882Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.1594410Z             aten_relu_default_22: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_233);  aten_view_copy_default_233 = None
2025-03-21T20:24:13.1594499Z             
2025-03-21T20:24:13.1595242Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.1595814Z             aten_view_copy_default_234: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_22, [8, 512]);  aten_relu_default_22 = None
2025-03-21T20:24:13.1596552Z             aten_permute_copy_default_117: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_5_ffn_2_output_dense_weight, [1, 0]);  p_encoder_layer_5_ffn_2_output_dense_weight = None
2025-03-21T20:24:13.1597605Z             aten_addmm_default_87: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_5_ffn_2_output_dense_bias, aten_view_copy_default_234, aten_permute_copy_default_117);  p_encoder_layer_5_ffn_2_output_dense_bias = aten_view_copy_default_234 = aten_permute_copy_default_117 = None
2025-03-21T20:24:13.1598192Z             aten_view_copy_default_235: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_87, [1, 8, 128]);  aten_addmm_default_87 = None
2025-03-21T20:24:13.1598286Z             
2025-03-21T20:24:13.1599156Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.1599798Z             aten_add_tensor_87: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_235, aten_add_tensor_86);  aten_view_copy_default_235 = aten_add_tensor_86 = None
2025-03-21T20:24:13.1599891Z             
2025-03-21T20:24:13.1600653Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.1601438Z             aten_mul_tensor_47: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_87, p_encoder_layer_5_ffn_2_output_layernorm_weight);  aten_add_tensor_87 = p_encoder_layer_5_ffn_2_output_layernorm_weight = None
2025-03-21T20:24:13.1602418Z             aten_add_tensor_88: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_47, p_encoder_layer_5_ffn_2_output_layernorm_bias);  aten_mul_tensor_47 = p_encoder_layer_5_ffn_2_output_layernorm_bias = None
2025-03-21T20:24:13.1602516Z             
2025-03-21T20:24:13.1603268Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.1603692Z             aten_view_copy_default_236: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_88, [8, 128])
2025-03-21T20:24:13.1604447Z             aten_permute_copy_default_118: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_5_intermediate_dense_weight, [1, 0]);  p_encoder_layer_5_intermediate_dense_weight = None
2025-03-21T20:24:13.1605535Z             aten_addmm_default_88: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_5_intermediate_dense_bias, aten_view_copy_default_236, aten_permute_copy_default_118);  p_encoder_layer_5_intermediate_dense_bias = aten_view_copy_default_236 = aten_permute_copy_default_118 = None
2025-03-21T20:24:13.1606103Z             aten_view_copy_default_237: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_88, [1, 8, 512]);  aten_addmm_default_88 = None
2025-03-21T20:24:13.1606200Z             
2025-03-21T20:24:13.1606997Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.1607514Z             aten_relu_default_23: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_237);  aten_view_copy_default_237 = None
2025-03-21T20:24:13.1607683Z             
2025-03-21T20:24:13.1608441Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:415 in forward, code: layer_output = self.dense(intermediate_states)
2025-03-21T20:24:13.1608991Z             aten_view_copy_default_238: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_23, [8, 512]);  aten_relu_default_23 = None
2025-03-21T20:24:13.1609723Z             aten_permute_copy_default_119: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_5_output_dense_weight, [1, 0]);  p_encoder_layer_5_output_dense_weight = None
2025-03-21T20:24:13.1610749Z             aten_addmm_default_89: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_5_output_dense_bias, aten_view_copy_default_238, aten_permute_copy_default_119);  p_encoder_layer_5_output_dense_bias = aten_view_copy_default_238 = aten_permute_copy_default_119 = None
2025-03-21T20:24:13.1611368Z             aten_view_copy_default_239: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_89, [1, 8, 128]);  aten_addmm_default_89 = None
2025-03-21T20:24:13.1611473Z             
2025-03-21T20:24:13.1612299Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:420 in forward, code: layer_output = self.LayerNorm(layer_output + residual_tensor_1)
2025-03-21T20:24:13.1612934Z             aten_add_tensor_89: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_239, aten_add_tensor_88);  aten_view_copy_default_239 = aten_add_tensor_88 = None
2025-03-21T20:24:13.1613040Z             
2025-03-21T20:24:13.1613797Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.1614567Z             aten_mul_tensor_48: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_89, p_encoder_layer_5_output_layernorm_weight);  aten_add_tensor_89 = p_encoder_layer_5_output_layernorm_weight = None
2025-03-21T20:24:13.1615296Z             aten_add_tensor_90: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_48, p_encoder_layer_5_output_layernorm_bias);  aten_mul_tensor_48 = p_encoder_layer_5_output_layernorm_bias = None
2025-03-21T20:24:13.1615403Z             
2025-03-21T20:24:13.1616135Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:395 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.1616671Z             aten_view_copy_default_240: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_90, [8, 128]);  aten_add_tensor_90 = None
2025-03-21T20:24:13.1617450Z             aten_permute_copy_default_120: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_5_output_bottleneck_dense_weight, [1, 0]);  p_encoder_layer_5_output_bottleneck_dense_weight = None
2025-03-21T20:24:13.1618579Z             aten_addmm_default_90: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_5_output_bottleneck_dense_bias, aten_view_copy_default_240, aten_permute_copy_default_120);  p_encoder_layer_5_output_bottleneck_dense_bias = aten_view_copy_default_240 = aten_permute_copy_default_120 = None
2025-03-21T20:24:13.1619139Z             aten_view_copy_default_241: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_90, [1, 8, 512]);  aten_addmm_default_90 = None
2025-03-21T20:24:13.1619244Z             
2025-03-21T20:24:13.1619987Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:396 in forward, code: layer_outputs = self.dropout(layer_outputs)
2025-03-21T20:24:13.1620556Z             aten_clone_default_18: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_241);  aten_view_copy_default_241 = None
2025-03-21T20:24:13.1620651Z             
2025-03-21T20:24:13.1621485Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:397 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.1622109Z             aten_add_tensor_91: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_18, aten_add_tensor_77);  aten_clone_default_18 = aten_add_tensor_77 = None
2025-03-21T20:24:13.1622213Z             
2025-03-21T20:24:13.1622962Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.1623882Z             aten_mul_tensor_49: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_91, p_encoder_layer_5_output_bottleneck_layernorm_weight);  aten_add_tensor_91 = p_encoder_layer_5_output_bottleneck_layernorm_weight = None
2025-03-21T20:24:13.1624703Z             aten_add_tensor_92: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_49, p_encoder_layer_5_output_bottleneck_layernorm_bias);  aten_mul_tensor_49 = p_encoder_layer_5_output_bottleneck_layernorm_bias = None
2025-03-21T20:24:13.1624800Z             
2025-03-21T20:24:13.1625543Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:432 in forward, code: layer_input = self.dense(hidden_states)
2025-03-21T20:24:13.1625968Z             aten_view_copy_default_242: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_92, [8, 512])
2025-03-21T20:24:13.1626748Z             aten_permute_copy_default_121: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_6_bottleneck_input_dense_weight, [1, 0]);  p_encoder_layer_6_bottleneck_input_dense_weight = None
2025-03-21T20:24:13.1627857Z             aten_addmm_default_91: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_6_bottleneck_input_dense_bias, aten_view_copy_default_242, aten_permute_copy_default_121);  p_encoder_layer_6_bottleneck_input_dense_bias = aten_view_copy_default_242 = aten_permute_copy_default_121 = None
2025-03-21T20:24:13.1628423Z             aten_view_copy_default_243: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_91, [1, 8, 128]);  aten_addmm_default_91 = None
2025-03-21T20:24:13.1628517Z             
2025-03-21T20:24:13.1629275Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.1630184Z             aten_mul_tensor_50: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_243, p_encoder_layer_6_bottleneck_input_layernorm_weight);  aten_view_copy_default_243 = p_encoder_layer_6_bottleneck_input_layernorm_weight = None
2025-03-21T20:24:13.1631000Z             aten_add_tensor_93: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_50, p_encoder_layer_6_bottleneck_input_layernorm_bias);  aten_mul_tensor_50 = p_encoder_layer_6_bottleneck_input_layernorm_bias = None
2025-03-21T20:24:13.1631096Z             
2025-03-21T20:24:13.1631830Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:432 in forward, code: layer_input = self.dense(hidden_states)
2025-03-21T20:24:13.1632276Z             aten_view_copy_default_244: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_92, [8, 512])
2025-03-21T20:24:13.1633171Z             aten_permute_copy_default_122: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_6_bottleneck_attention_dense_weight, [1, 0]);  p_encoder_layer_6_bottleneck_attention_dense_weight = None
2025-03-21T20:24:13.1634314Z             aten_addmm_default_92: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_6_bottleneck_attention_dense_bias, aten_view_copy_default_244, aten_permute_copy_default_122);  p_encoder_layer_6_bottleneck_attention_dense_bias = aten_view_copy_default_244 = aten_permute_copy_default_122 = None
2025-03-21T20:24:13.1634910Z             aten_view_copy_default_245: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_92, [1, 8, 128]);  aten_addmm_default_92 = None
2025-03-21T20:24:13.1635005Z             
2025-03-21T20:24:13.1635767Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.1636750Z             aten_mul_tensor_51: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_245, p_encoder_layer_6_bottleneck_attention_layernorm_weight);  aten_view_copy_default_245 = p_encoder_layer_6_bottleneck_attention_layernorm_weight = None
2025-03-21T20:24:13.1637608Z             aten_add_tensor_94: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_51, p_encoder_layer_6_bottleneck_attention_layernorm_bias);  aten_mul_tensor_51 = p_encoder_layer_6_bottleneck_attention_layernorm_bias = None
2025-03-21T20:24:13.1637702Z             
2025-03-21T20:24:13.1638453Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:275 in forward, code: mixed_query_layer = self.query(query_tensor)
2025-03-21T20:24:13.1638879Z             aten_view_copy_default_246: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_94, [8, 128])
2025-03-21T20:24:13.1639637Z             aten_permute_copy_default_123: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_6_attention_self_query_weight, [1, 0]);  p_encoder_layer_6_attention_self_query_weight = None
2025-03-21T20:24:13.1640719Z             aten_addmm_default_93: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_6_attention_self_query_bias, aten_view_copy_default_246, aten_permute_copy_default_123);  p_encoder_layer_6_attention_self_query_bias = aten_view_copy_default_246 = aten_permute_copy_default_123 = None
2025-03-21T20:24:13.1641288Z             aten_view_copy_default_247: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_93, [1, 8, 128]);  aten_addmm_default_93 = None
2025-03-21T20:24:13.1641382Z             
2025-03-21T20:24:13.1642116Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:276 in forward, code: mixed_key_layer = self.key(key_tensor)
2025-03-21T20:24:13.1642633Z             aten_view_copy_default_248: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_94, [8, 128]);  aten_add_tensor_94 = None
2025-03-21T20:24:13.1643380Z             aten_permute_copy_default_124: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_6_attention_self_key_weight, [1, 0]);  p_encoder_layer_6_attention_self_key_weight = None
2025-03-21T20:24:13.1644443Z             aten_addmm_default_94: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_6_attention_self_key_bias, aten_view_copy_default_248, aten_permute_copy_default_124);  p_encoder_layer_6_attention_self_key_bias = aten_view_copy_default_248 = aten_permute_copy_default_124 = None
2025-03-21T20:24:13.1645040Z             aten_view_copy_default_249: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_94, [1, 8, 128]);  aten_addmm_default_94 = None
2025-03-21T20:24:13.1645133Z             
2025-03-21T20:24:13.1645878Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:277 in forward, code: mixed_value_layer = self.value(value_tensor)
2025-03-21T20:24:13.1646336Z             aten_view_copy_default_250: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_92, [8, 512])
2025-03-21T20:24:13.1647076Z             aten_permute_copy_default_125: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_6_attention_self_value_weight, [1, 0]);  p_encoder_layer_6_attention_self_value_weight = None
2025-03-21T20:24:13.1648222Z             aten_addmm_default_95: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_6_attention_self_value_bias, aten_view_copy_default_250, aten_permute_copy_default_125);  p_encoder_layer_6_attention_self_value_bias = aten_view_copy_default_250 = aten_permute_copy_default_125 = None
2025-03-21T20:24:13.1648776Z             aten_view_copy_default_251: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_95, [1, 8, 128]);  aten_addmm_default_95 = None
2025-03-21T20:24:13.1648884Z             
2025-03-21T20:24:13.1649596Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.1650192Z             aten_view_copy_default_252: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_247, [1, 8, 4, 32]);  aten_view_copy_default_247 = None
2025-03-21T20:24:13.1650282Z             
2025-03-21T20:24:13.1651026Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.1651643Z             aten_permute_copy_default_126: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_252, [0, 2, 1, 3]);  aten_view_copy_default_252 = None
2025-03-21T20:24:13.1651743Z             
2025-03-21T20:24:13.1652452Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.1653043Z             aten_view_copy_default_253: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_249, [1, 8, 4, 32]);  aten_view_copy_default_249 = None
2025-03-21T20:24:13.1653137Z             
2025-03-21T20:24:13.1653879Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.1654500Z             aten_permute_copy_default_127: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_253, [0, 2, 1, 3]);  aten_view_copy_default_253 = None
2025-03-21T20:24:13.1654589Z             
2025-03-21T20:24:13.1655300Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.1655886Z             aten_view_copy_default_254: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_251, [1, 8, 4, 32]);  aten_view_copy_default_251 = None
2025-03-21T20:24:13.1655985Z             
2025-03-21T20:24:13.1656778Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.1657404Z             aten_permute_copy_default_128: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_254, [0, 2, 1, 3]);  aten_view_copy_default_254 = None
2025-03-21T20:24:13.1657494Z             
2025-03-21T20:24:13.1658374Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:284 in forward, code: attention_scores = torch.matmul(query_layer, key_layer.transpose(-1, -2))
2025-03-21T20:24:13.1659039Z             aten_permute_copy_default_129: "f32[1, 4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_permute_copy_default_127, [0, 1, 3, 2]);  aten_permute_copy_default_127 = None
2025-03-21T20:24:13.1659669Z             aten_expand_copy_default_24: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_126, [1, 4, 8, 32]);  aten_permute_copy_default_126 = None
2025-03-21T20:24:13.1660307Z             aten_view_copy_default_255: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_24, [4, 8, 32]);  aten_expand_copy_default_24 = None
2025-03-21T20:24:13.1660936Z             aten_expand_copy_default_25: "f32[1, 4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_129, [1, 4, 32, 8]);  aten_permute_copy_default_129 = None
2025-03-21T20:24:13.1661526Z             aten_view_copy_default_256: "f32[4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_25, [4, 32, 8]);  aten_expand_copy_default_25 = None
2025-03-21T20:24:13.1662227Z             aten_bmm_default_12: "f32[4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_255, aten_view_copy_default_256);  aten_view_copy_default_255 = aten_view_copy_default_256 = None
2025-03-21T20:24:13.1662766Z             aten_view_copy_default_257: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_12, [1, 4, 8, 8]);  aten_bmm_default_12 = None
2025-03-21T20:24:13.1662866Z             
2025-03-21T20:24:13.1663728Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:285 in forward, code: attention_scores = attention_scores / math.sqrt(self.attention_head_size)
2025-03-21T20:24:13.1664417Z             aten_div_tensor_6: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_div_Tensor(aten_view_copy_default_257, _lifted_tensor_constant9);  aten_view_copy_default_257 = _lifted_tensor_constant9 = None
2025-03-21T20:24:13.1664508Z             
2025-03-21T20:24:13.1665279Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:288 in forward, code: attention_scores = attention_scores + attention_mask
2025-03-21T20:24:13.1665774Z             aten_add_tensor_95: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_div_tensor_6, aten_mul_tensor);  aten_div_tensor_6 = None
2025-03-21T20:24:13.1665865Z             
2025-03-21T20:24:13.1666710Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:290 in forward, code: attention_probs = nn.functional.softmax(attention_scores, dim=-1)
2025-03-21T20:24:13.1667237Z             aten__softmax_default_6: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten__softmax_default(aten_add_tensor_95, -1, False);  aten_add_tensor_95 = None
2025-03-21T20:24:13.1667335Z             
2025-03-21T20:24:13.1668093Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:293 in forward, code: attention_probs = self.dropout(attention_probs)
2025-03-21T20:24:13.1668622Z             aten_clone_default_19: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten__softmax_default_6);  aten__softmax_default_6 = None
2025-03-21T20:24:13.1668720Z             
2025-03-21T20:24:13.1669522Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:297 in forward, code: context_layer = torch.matmul(attention_probs, value_layer)
2025-03-21T20:24:13.1670086Z             aten_expand_copy_default_26: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_clone_default_19, [1, 4, 8, 8]);  aten_clone_default_19 = None
2025-03-21T20:24:13.1670713Z             aten_view_copy_default_258: "f32[4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_26, [4, 8, 8]);  aten_expand_copy_default_26 = None
2025-03-21T20:24:13.1671334Z             aten_expand_copy_default_27: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_128, [1, 4, 8, 32]);  aten_permute_copy_default_128 = None
2025-03-21T20:24:13.1671978Z             aten_view_copy_default_259: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_27, [4, 8, 32]);  aten_expand_copy_default_27 = None
2025-03-21T20:24:13.1672672Z             aten_bmm_default_13: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_258, aten_view_copy_default_259);  aten_view_copy_default_258 = aten_view_copy_default_259 = None
2025-03-21T20:24:13.1673304Z             aten_view_copy_default_260: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_13, [1, 4, 8, 32]);  aten_bmm_default_13 = None
2025-03-21T20:24:13.1673397Z             
2025-03-21T20:24:13.1674210Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:298 in forward, code: context_layer = context_layer.permute(0, 2, 1, 3).contiguous()
2025-03-21T20:24:13.1674844Z             aten_permute_copy_default_130: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_260, [0, 2, 1, 3]);  aten_view_copy_default_260 = None
2025-03-21T20:24:13.1675552Z             aten_clone_default_20: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_permute_copy_default_130, memory_format = torch.contiguous_format);  aten_permute_copy_default_130 = None
2025-03-21T20:24:13.1675661Z             
2025-03-21T20:24:13.1676457Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:300 in forward, code: context_layer = context_layer.view(new_context_layer_shape)
2025-03-21T20:24:13.1677023Z             aten_view_copy_default_261: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_20, [1, 8, 128]);  aten_clone_default_20 = None
2025-03-21T20:24:13.1677114Z             
2025-03-21T20:24:13.1677865Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:315 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.1678437Z             aten_view_copy_default_262: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_261, [8, 128]);  aten_view_copy_default_261 = None
2025-03-21T20:24:13.1679215Z             aten_permute_copy_default_131: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_6_attention_output_dense_weight, [1, 0]);  p_encoder_layer_6_attention_output_dense_weight = None
2025-03-21T20:24:13.1680317Z             aten_addmm_default_96: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_6_attention_output_dense_bias, aten_view_copy_default_262, aten_permute_copy_default_131);  p_encoder_layer_6_attention_output_dense_bias = aten_view_copy_default_262 = aten_permute_copy_default_131 = None
2025-03-21T20:24:13.1680925Z             aten_view_copy_default_263: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_96, [1, 8, 128]);  aten_addmm_default_96 = None
2025-03-21T20:24:13.1681013Z             
2025-03-21T20:24:13.1681847Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:318 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.1682498Z             aten_add_tensor_96: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_263, aten_add_tensor_93);  aten_view_copy_default_263 = aten_add_tensor_93 = None
2025-03-21T20:24:13.1682606Z             
2025-03-21T20:24:13.1683355Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.1684248Z             aten_mul_tensor_52: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_96, p_encoder_layer_6_attention_output_layernorm_weight);  aten_add_tensor_96 = p_encoder_layer_6_attention_output_layernorm_weight = None
2025-03-21T20:24:13.1685065Z             aten_add_tensor_97: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_52, p_encoder_layer_6_attention_output_layernorm_bias);  aten_mul_tensor_52 = p_encoder_layer_6_attention_output_layernorm_bias = None
2025-03-21T20:24:13.1685166Z             
2025-03-21T20:24:13.1685903Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.1686333Z             aten_view_copy_default_264: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_97, [8, 128])
2025-03-21T20:24:13.1687122Z             aten_permute_copy_default_132: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_6_ffn_0_intermediate_dense_weight, [1, 0]);  p_encoder_layer_6_ffn_0_intermediate_dense_weight = None
2025-03-21T20:24:13.1688247Z             aten_addmm_default_97: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_6_ffn_0_intermediate_dense_bias, aten_view_copy_default_264, aten_permute_copy_default_132);  p_encoder_layer_6_ffn_0_intermediate_dense_bias = aten_view_copy_default_264 = aten_permute_copy_default_132 = None
2025-03-21T20:24:13.1688806Z             aten_view_copy_default_265: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_97, [1, 8, 512]);  aten_addmm_default_97 = None
2025-03-21T20:24:13.1688912Z             
2025-03-21T20:24:13.1689704Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.1690226Z             aten_relu_default_24: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_265);  aten_view_copy_default_265 = None
2025-03-21T20:24:13.1690327Z             
2025-03-21T20:24:13.1691060Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.1691611Z             aten_view_copy_default_266: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_24, [8, 512]);  aten_relu_default_24 = None
2025-03-21T20:24:13.1692336Z             aten_permute_copy_default_133: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_6_ffn_0_output_dense_weight, [1, 0]);  p_encoder_layer_6_ffn_0_output_dense_weight = None
2025-03-21T20:24:13.1693429Z             aten_addmm_default_98: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_6_ffn_0_output_dense_bias, aten_view_copy_default_266, aten_permute_copy_default_133);  p_encoder_layer_6_ffn_0_output_dense_bias = aten_view_copy_default_266 = aten_permute_copy_default_133 = None
2025-03-21T20:24:13.1693981Z             aten_view_copy_default_267: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_98, [1, 8, 128]);  aten_addmm_default_98 = None
2025-03-21T20:24:13.1694106Z             
2025-03-21T20:24:13.1694925Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.1695560Z             aten_add_tensor_98: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_267, aten_add_tensor_97);  aten_view_copy_default_267 = aten_add_tensor_97 = None
2025-03-21T20:24:13.1695653Z             
2025-03-21T20:24:13.1696455Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.1697247Z             aten_mul_tensor_53: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_98, p_encoder_layer_6_ffn_0_output_layernorm_weight);  aten_add_tensor_98 = p_encoder_layer_6_ffn_0_output_layernorm_weight = None
2025-03-21T20:24:13.1698021Z             aten_add_tensor_99: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_53, p_encoder_layer_6_ffn_0_output_layernorm_bias);  aten_mul_tensor_53 = p_encoder_layer_6_ffn_0_output_layernorm_bias = None
2025-03-21T20:24:13.1698113Z             
2025-03-21T20:24:13.1698857Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.1699283Z             aten_view_copy_default_268: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_99, [8, 128])
2025-03-21T20:24:13.1700070Z             aten_permute_copy_default_134: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_6_ffn_1_intermediate_dense_weight, [1, 0]);  p_encoder_layer_6_ffn_1_intermediate_dense_weight = None
2025-03-21T20:24:13.1701183Z             aten_addmm_default_99: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_6_ffn_1_intermediate_dense_bias, aten_view_copy_default_268, aten_permute_copy_default_134);  p_encoder_layer_6_ffn_1_intermediate_dense_bias = aten_view_copy_default_268 = aten_permute_copy_default_134 = None
2025-03-21T20:24:13.1701758Z             aten_view_copy_default_269: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_99, [1, 8, 512]);  aten_addmm_default_99 = None
2025-03-21T20:24:13.1701851Z             
2025-03-21T20:24:13.1702868Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.1703402Z             aten_relu_default_25: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_269);  aten_view_copy_default_269 = None
2025-03-21T20:24:13.1703498Z             
2025-03-21T20:24:13.1704245Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.1704784Z             aten_view_copy_default_270: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_25, [8, 512]);  aten_relu_default_25 = None
2025-03-21T20:24:13.1705591Z             aten_permute_copy_default_135: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_6_ffn_1_output_dense_weight, [1, 0]);  p_encoder_layer_6_ffn_1_output_dense_weight = None
2025-03-21T20:24:13.1706651Z             aten_addmm_default_100: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_6_ffn_1_output_dense_bias, aten_view_copy_default_270, aten_permute_copy_default_135);  p_encoder_layer_6_ffn_1_output_dense_bias = aten_view_copy_default_270 = aten_permute_copy_default_135 = None
2025-03-21T20:24:13.1707262Z             aten_view_copy_default_271: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_100, [1, 8, 128]);  aten_addmm_default_100 = None
2025-03-21T20:24:13.1707356Z             
2025-03-21T20:24:13.1708194Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.1708896Z             aten_add_tensor_100: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_271, aten_add_tensor_99);  aten_view_copy_default_271 = aten_add_tensor_99 = None
2025-03-21T20:24:13.1709008Z             
2025-03-21T20:24:13.1709760Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.1710577Z             aten_mul_tensor_54: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_100, p_encoder_layer_6_ffn_1_output_layernorm_weight);  aten_add_tensor_100 = p_encoder_layer_6_ffn_1_output_layernorm_weight = None
2025-03-21T20:24:13.1711350Z             aten_add_tensor_101: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_54, p_encoder_layer_6_ffn_1_output_layernorm_bias);  aten_mul_tensor_54 = p_encoder_layer_6_ffn_1_output_layernorm_bias = None
2025-03-21T20:24:13.1711466Z             
2025-03-21T20:24:13.1712200Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.1712643Z             aten_view_copy_default_272: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_101, [8, 128])
2025-03-21T20:24:13.1713544Z             aten_permute_copy_default_136: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_6_ffn_2_intermediate_dense_weight, [1, 0]);  p_encoder_layer_6_ffn_2_intermediate_dense_weight = None
2025-03-21T20:24:13.1714685Z             aten_addmm_default_101: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_6_ffn_2_intermediate_dense_bias, aten_view_copy_default_272, aten_permute_copy_default_136);  p_encoder_layer_6_ffn_2_intermediate_dense_bias = aten_view_copy_default_272 = aten_permute_copy_default_136 = None
2025-03-21T20:24:13.1715250Z             aten_view_copy_default_273: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_101, [1, 8, 512]);  aten_addmm_default_101 = None
2025-03-21T20:24:13.1715359Z             
2025-03-21T20:24:13.1716148Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.1716681Z             aten_relu_default_26: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_273);  aten_view_copy_default_273 = None
2025-03-21T20:24:13.1716778Z             
2025-03-21T20:24:13.1717553Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.1718107Z             aten_view_copy_default_274: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_26, [8, 512]);  aten_relu_default_26 = None
2025-03-21T20:24:13.1718841Z             aten_permute_copy_default_137: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_6_ffn_2_output_dense_weight, [1, 0]);  p_encoder_layer_6_ffn_2_output_dense_weight = None
2025-03-21T20:24:13.1719938Z             aten_addmm_default_102: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_6_ffn_2_output_dense_bias, aten_view_copy_default_274, aten_permute_copy_default_137);  p_encoder_layer_6_ffn_2_output_dense_bias = aten_view_copy_default_274 = aten_permute_copy_default_137 = None
2025-03-21T20:24:13.1720506Z             aten_view_copy_default_275: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_102, [1, 8, 128]);  aten_addmm_default_102 = None
2025-03-21T20:24:13.1720615Z             
2025-03-21T20:24:13.1721484Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.1722142Z             aten_add_tensor_102: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_275, aten_add_tensor_101);  aten_view_copy_default_275 = aten_add_tensor_101 = None
2025-03-21T20:24:13.1722242Z             
2025-03-21T20:24:13.1723007Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.1723807Z             aten_mul_tensor_55: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_102, p_encoder_layer_6_ffn_2_output_layernorm_weight);  aten_add_tensor_102 = p_encoder_layer_6_ffn_2_output_layernorm_weight = None
2025-03-21T20:24:13.1724590Z             aten_add_tensor_103: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_55, p_encoder_layer_6_ffn_2_output_layernorm_bias);  aten_mul_tensor_55 = p_encoder_layer_6_ffn_2_output_layernorm_bias = None
2025-03-21T20:24:13.1724685Z             
2025-03-21T20:24:13.1725433Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.1725865Z             aten_view_copy_default_276: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_103, [8, 128])
2025-03-21T20:24:13.1726624Z             aten_permute_copy_default_138: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_6_intermediate_dense_weight, [1, 0]);  p_encoder_layer_6_intermediate_dense_weight = None
2025-03-21T20:24:13.1727718Z             aten_addmm_default_103: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_6_intermediate_dense_bias, aten_view_copy_default_276, aten_permute_copy_default_138);  p_encoder_layer_6_intermediate_dense_bias = aten_view_copy_default_276 = aten_permute_copy_default_138 = None
2025-03-21T20:24:13.1728294Z             aten_view_copy_default_277: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_103, [1, 8, 512]);  aten_addmm_default_103 = None
2025-03-21T20:24:13.1728392Z             
2025-03-21T20:24:13.1729198Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.1729743Z             aten_relu_default_27: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_277);  aten_view_copy_default_277 = None
2025-03-21T20:24:13.1729852Z             
2025-03-21T20:24:13.1730613Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:415 in forward, code: layer_output = self.dense(intermediate_states)
2025-03-21T20:24:13.1731158Z             aten_view_copy_default_278: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_27, [8, 512]);  aten_relu_default_27 = None
2025-03-21T20:24:13.1731892Z             aten_permute_copy_default_139: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_6_output_dense_weight, [1, 0]);  p_encoder_layer_6_output_dense_weight = None
2025-03-21T20:24:13.1732911Z             aten_addmm_default_104: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_6_output_dense_bias, aten_view_copy_default_278, aten_permute_copy_default_139);  p_encoder_layer_6_output_dense_bias = aten_view_copy_default_278 = aten_permute_copy_default_139 = None
2025-03-21T20:24:13.1733535Z             aten_view_copy_default_279: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_104, [1, 8, 128]);  aten_addmm_default_104 = None
2025-03-21T20:24:13.1733628Z             
2025-03-21T20:24:13.1734465Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:420 in forward, code: layer_output = self.LayerNorm(layer_output + residual_tensor_1)
2025-03-21T20:24:13.1735109Z             aten_add_tensor_104: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_279, aten_add_tensor_103);  aten_view_copy_default_279 = aten_add_tensor_103 = None
2025-03-21T20:24:13.1735216Z             
2025-03-21T20:24:13.1735970Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.1736749Z             aten_mul_tensor_56: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_104, p_encoder_layer_6_output_layernorm_weight);  aten_add_tensor_104 = p_encoder_layer_6_output_layernorm_weight = None
2025-03-21T20:24:13.1737485Z             aten_add_tensor_105: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_56, p_encoder_layer_6_output_layernorm_bias);  aten_mul_tensor_56 = p_encoder_layer_6_output_layernorm_bias = None
2025-03-21T20:24:13.1737593Z             
2025-03-21T20:24:13.1738329Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:395 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.1738868Z             aten_view_copy_default_280: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_105, [8, 128]);  aten_add_tensor_105 = None
2025-03-21T20:24:13.1739647Z             aten_permute_copy_default_140: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_6_output_bottleneck_dense_weight, [1, 0]);  p_encoder_layer_6_output_bottleneck_dense_weight = None
2025-03-21T20:24:13.1740793Z             aten_addmm_default_105: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_6_output_bottleneck_dense_bias, aten_view_copy_default_280, aten_permute_copy_default_140);  p_encoder_layer_6_output_bottleneck_dense_bias = aten_view_copy_default_280 = aten_permute_copy_default_140 = None
2025-03-21T20:24:13.1741355Z             aten_view_copy_default_281: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_105, [1, 8, 512]);  aten_addmm_default_105 = None
2025-03-21T20:24:13.1741486Z             
2025-03-21T20:24:13.1742232Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:396 in forward, code: layer_outputs = self.dropout(layer_outputs)
2025-03-21T20:24:13.1742769Z             aten_clone_default_21: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_281);  aten_view_copy_default_281 = None
2025-03-21T20:24:13.1742862Z             
2025-03-21T20:24:13.1743692Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:397 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.1744319Z             aten_add_tensor_106: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_21, aten_add_tensor_92);  aten_clone_default_21 = aten_add_tensor_92 = None
2025-03-21T20:24:13.1744413Z             
2025-03-21T20:24:13.1745176Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.1746078Z             aten_mul_tensor_57: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_106, p_encoder_layer_6_output_bottleneck_layernorm_weight);  aten_add_tensor_106 = p_encoder_layer_6_output_bottleneck_layernorm_weight = None
2025-03-21T20:24:13.1746917Z             aten_add_tensor_107: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_57, p_encoder_layer_6_output_bottleneck_layernorm_bias);  aten_mul_tensor_57 = p_encoder_layer_6_output_bottleneck_layernorm_bias = None
2025-03-21T20:24:13.1747011Z             
2025-03-21T20:24:13.1747749Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:432 in forward, code: layer_input = self.dense(hidden_states)
2025-03-21T20:24:13.1748177Z             aten_view_copy_default_282: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_107, [8, 512])
2025-03-21T20:24:13.1748959Z             aten_permute_copy_default_141: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_7_bottleneck_input_dense_weight, [1, 0]);  p_encoder_layer_7_bottleneck_input_dense_weight = None
2025-03-21T20:24:13.1750067Z             aten_addmm_default_106: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_7_bottleneck_input_dense_bias, aten_view_copy_default_282, aten_permute_copy_default_141);  p_encoder_layer_7_bottleneck_input_dense_bias = aten_view_copy_default_282 = aten_permute_copy_default_141 = None
2025-03-21T20:24:13.1750642Z             aten_view_copy_default_283: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_106, [1, 8, 128]);  aten_addmm_default_106 = None
2025-03-21T20:24:13.1750739Z             
2025-03-21T20:24:13.1751503Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.1752402Z             aten_mul_tensor_58: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_283, p_encoder_layer_7_bottleneck_input_layernorm_weight);  aten_view_copy_default_283 = p_encoder_layer_7_bottleneck_input_layernorm_weight = None
2025-03-21T20:24:13.1753312Z             aten_add_tensor_108: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_58, p_encoder_layer_7_bottleneck_input_layernorm_bias);  aten_mul_tensor_58 = p_encoder_layer_7_bottleneck_input_layernorm_bias = None
2025-03-21T20:24:13.1753407Z             
2025-03-21T20:24:13.1754154Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:432 in forward, code: layer_input = self.dense(hidden_states)
2025-03-21T20:24:13.1754617Z             aten_view_copy_default_284: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_107, [8, 512])
2025-03-21T20:24:13.1755437Z             aten_permute_copy_default_142: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_7_bottleneck_attention_dense_weight, [1, 0]);  p_encoder_layer_7_bottleneck_attention_dense_weight = None
2025-03-21T20:24:13.1756611Z             aten_addmm_default_107: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_7_bottleneck_attention_dense_bias, aten_view_copy_default_284, aten_permute_copy_default_142);  p_encoder_layer_7_bottleneck_attention_dense_bias = aten_view_copy_default_284 = aten_permute_copy_default_142 = None
2025-03-21T20:24:13.1757192Z             aten_view_copy_default_285: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_107, [1, 8, 128]);  aten_addmm_default_107 = None
2025-03-21T20:24:13.1757289Z             
2025-03-21T20:24:13.1758112Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.1759052Z             aten_mul_tensor_59: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_285, p_encoder_layer_7_bottleneck_attention_layernorm_weight);  aten_view_copy_default_285 = p_encoder_layer_7_bottleneck_attention_layernorm_weight = None
2025-03-21T20:24:13.1759915Z             aten_add_tensor_109: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_59, p_encoder_layer_7_bottleneck_attention_layernorm_bias);  aten_mul_tensor_59 = p_encoder_layer_7_bottleneck_attention_layernorm_bias = None
2025-03-21T20:24:13.1760014Z             
2025-03-21T20:24:13.1760771Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:275 in forward, code: mixed_query_layer = self.query(query_tensor)
2025-03-21T20:24:13.1761202Z             aten_view_copy_default_286: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_109, [8, 128])
2025-03-21T20:24:13.1761961Z             aten_permute_copy_default_143: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_7_attention_self_query_weight, [1, 0]);  p_encoder_layer_7_attention_self_query_weight = None
2025-03-21T20:24:13.1763050Z             aten_addmm_default_108: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_7_attention_self_query_bias, aten_view_copy_default_286, aten_permute_copy_default_143);  p_encoder_layer_7_attention_self_query_bias = aten_view_copy_default_286 = aten_permute_copy_default_143 = None
2025-03-21T20:24:13.1763628Z             aten_view_copy_default_287: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_108, [1, 8, 128]);  aten_addmm_default_108 = None
2025-03-21T20:24:13.1763721Z             
2025-03-21T20:24:13.1764450Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:276 in forward, code: mixed_key_layer = self.key(key_tensor)
2025-03-21T20:24:13.1764993Z             aten_view_copy_default_288: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_109, [8, 128]);  aten_add_tensor_109 = None
2025-03-21T20:24:13.1765730Z             aten_permute_copy_default_144: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_7_attention_self_key_weight, [1, 0]);  p_encoder_layer_7_attention_self_key_weight = None
2025-03-21T20:24:13.1766808Z             aten_addmm_default_109: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_7_attention_self_key_bias, aten_view_copy_default_288, aten_permute_copy_default_144);  p_encoder_layer_7_attention_self_key_bias = aten_view_copy_default_288 = aten_permute_copy_default_144 = None
2025-03-21T20:24:13.1767396Z             aten_view_copy_default_289: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_109, [1, 8, 128]);  aten_addmm_default_109 = None
2025-03-21T20:24:13.1767500Z             
2025-03-21T20:24:13.1768248Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:277 in forward, code: mixed_value_layer = self.value(value_tensor)
2025-03-21T20:24:13.1768706Z             aten_view_copy_default_290: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_107, [8, 512])
2025-03-21T20:24:13.1769448Z             aten_permute_copy_default_145: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_7_attention_self_value_weight, [1, 0]);  p_encoder_layer_7_attention_self_value_weight = None
2025-03-21T20:24:13.1770599Z             aten_addmm_default_110: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_7_attention_self_value_bias, aten_view_copy_default_290, aten_permute_copy_default_145);  p_encoder_layer_7_attention_self_value_bias = aten_view_copy_default_290 = aten_permute_copy_default_145 = None
2025-03-21T20:24:13.1771158Z             aten_view_copy_default_291: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_110, [1, 8, 128]);  aten_addmm_default_110 = None
2025-03-21T20:24:13.1771270Z             
2025-03-21T20:24:13.1771984Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.1772586Z             aten_view_copy_default_292: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_287, [1, 8, 4, 32]);  aten_view_copy_default_287 = None
2025-03-21T20:24:13.1772681Z             
2025-03-21T20:24:13.1773427Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.1774041Z             aten_permute_copy_default_146: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_292, [0, 2, 1, 3]);  aten_view_copy_default_292 = None
2025-03-21T20:24:13.1774153Z             
2025-03-21T20:24:13.1774863Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.1775465Z             aten_view_copy_default_293: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_289, [1, 8, 4, 32]);  aten_view_copy_default_289 = None
2025-03-21T20:24:13.1775559Z             
2025-03-21T20:24:13.1776290Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.1776919Z             aten_permute_copy_default_147: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_293, [0, 2, 1, 3]);  aten_view_copy_default_293 = None
2025-03-21T20:24:13.1777012Z             
2025-03-21T20:24:13.1777735Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.1778318Z             aten_view_copy_default_294: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_291, [1, 8, 4, 32]);  aten_view_copy_default_291 = None
2025-03-21T20:24:13.1778447Z             
2025-03-21T20:24:13.1779180Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.1779806Z             aten_permute_copy_default_148: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_294, [0, 2, 1, 3]);  aten_view_copy_default_294 = None
2025-03-21T20:24:13.1779924Z             
2025-03-21T20:24:13.1780806Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:284 in forward, code: attention_scores = torch.matmul(query_layer, key_layer.transpose(-1, -2))
2025-03-21T20:24:13.1781444Z             aten_permute_copy_default_149: "f32[1, 4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_permute_copy_default_147, [0, 1, 3, 2]);  aten_permute_copy_default_147 = None
2025-03-21T20:24:13.1782127Z             aten_expand_copy_default_28: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_146, [1, 4, 8, 32]);  aten_permute_copy_default_146 = None
2025-03-21T20:24:13.1782715Z             aten_view_copy_default_295: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_28, [4, 8, 32]);  aten_expand_copy_default_28 = None
2025-03-21T20:24:13.1783348Z             aten_expand_copy_default_29: "f32[1, 4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_149, [1, 4, 32, 8]);  aten_permute_copy_default_149 = None
2025-03-21T20:24:13.1783934Z             aten_view_copy_default_296: "f32[4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_29, [4, 32, 8]);  aten_expand_copy_default_29 = None
2025-03-21T20:24:13.1784642Z             aten_bmm_default_14: "f32[4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_295, aten_view_copy_default_296);  aten_view_copy_default_295 = aten_view_copy_default_296 = None
2025-03-21T20:24:13.1785182Z             aten_view_copy_default_297: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_14, [1, 4, 8, 8]);  aten_bmm_default_14 = None
2025-03-21T20:24:13.1785288Z             
2025-03-21T20:24:13.1786159Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:285 in forward, code: attention_scores = attention_scores / math.sqrt(self.attention_head_size)
2025-03-21T20:24:13.1786860Z             aten_div_tensor_7: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_div_Tensor(aten_view_copy_default_297, _lifted_tensor_constant10);  aten_view_copy_default_297 = _lifted_tensor_constant10 = None
2025-03-21T20:24:13.1786955Z             
2025-03-21T20:24:13.1787735Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:288 in forward, code: attention_scores = attention_scores + attention_mask
2025-03-21T20:24:13.1788236Z             aten_add_tensor_110: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_div_tensor_7, aten_mul_tensor);  aten_div_tensor_7 = None
2025-03-21T20:24:13.1788332Z             
2025-03-21T20:24:13.1789183Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:290 in forward, code: attention_probs = nn.functional.softmax(attention_scores, dim=-1)
2025-03-21T20:24:13.1789712Z             aten__softmax_default_7: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten__softmax_default(aten_add_tensor_110, -1, False);  aten_add_tensor_110 = None
2025-03-21T20:24:13.1789819Z             
2025-03-21T20:24:13.1790580Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:293 in forward, code: attention_probs = self.dropout(attention_probs)
2025-03-21T20:24:13.1791122Z             aten_clone_default_22: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten__softmax_default_7);  aten__softmax_default_7 = None
2025-03-21T20:24:13.1791216Z             
2025-03-21T20:24:13.1792031Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:297 in forward, code: context_layer = torch.matmul(attention_probs, value_layer)
2025-03-21T20:24:13.1792624Z             aten_expand_copy_default_30: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_clone_default_22, [1, 4, 8, 8]);  aten_clone_default_22 = None
2025-03-21T20:24:13.1793309Z             aten_view_copy_default_298: "f32[4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_30, [4, 8, 8]);  aten_expand_copy_default_30 = None
2025-03-21T20:24:13.1793987Z             aten_expand_copy_default_31: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_148, [1, 4, 8, 32]);  aten_permute_copy_default_148 = None
2025-03-21T20:24:13.1794592Z             aten_view_copy_default_299: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_31, [4, 8, 32]);  aten_expand_copy_default_31 = None
2025-03-21T20:24:13.1795287Z             aten_bmm_default_15: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_298, aten_view_copy_default_299);  aten_view_copy_default_298 = aten_view_copy_default_299 = None
2025-03-21T20:24:13.1795841Z             aten_view_copy_default_300: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_15, [1, 4, 8, 32]);  aten_bmm_default_15 = None
2025-03-21T20:24:13.1795940Z             
2025-03-21T20:24:13.1796756Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:298 in forward, code: context_layer = context_layer.permute(0, 2, 1, 3).contiguous()
2025-03-21T20:24:13.1797390Z             aten_permute_copy_default_150: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_300, [0, 2, 1, 3]);  aten_view_copy_default_300 = None
2025-03-21T20:24:13.1798101Z             aten_clone_default_23: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_permute_copy_default_150, memory_format = torch.contiguous_format);  aten_permute_copy_default_150 = None
2025-03-21T20:24:13.1798210Z             
2025-03-21T20:24:13.1799012Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:300 in forward, code: context_layer = context_layer.view(new_context_layer_shape)
2025-03-21T20:24:13.1799586Z             aten_view_copy_default_301: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_23, [1, 8, 128]);  aten_clone_default_23 = None
2025-03-21T20:24:13.1799680Z             
2025-03-21T20:24:13.1800424Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:315 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.1801002Z             aten_view_copy_default_302: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_301, [8, 128]);  aten_view_copy_default_301 = None
2025-03-21T20:24:13.1801786Z             aten_permute_copy_default_151: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_7_attention_output_dense_weight, [1, 0]);  p_encoder_layer_7_attention_output_dense_weight = None
2025-03-21T20:24:13.1803157Z             aten_addmm_default_111: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_7_attention_output_dense_bias, aten_view_copy_default_302, aten_permute_copy_default_151);  p_encoder_layer_7_attention_output_dense_bias = aten_view_copy_default_302 = aten_permute_copy_default_151 = None
2025-03-21T20:24:13.1803804Z             aten_view_copy_default_303: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_111, [1, 8, 128]);  aten_addmm_default_111 = None
2025-03-21T20:24:13.1803898Z             
2025-03-21T20:24:13.1804743Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:318 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.1805422Z             aten_add_tensor_111: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_303, aten_add_tensor_108);  aten_view_copy_default_303 = aten_add_tensor_108 = None
2025-03-21T20:24:13.1805531Z             
2025-03-21T20:24:13.1806361Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.1807223Z             aten_mul_tensor_60: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_111, p_encoder_layer_7_attention_output_layernorm_weight);  aten_add_tensor_111 = p_encoder_layer_7_attention_output_layernorm_weight = None
2025-03-21T20:24:13.1808044Z             aten_add_tensor_112: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_60, p_encoder_layer_7_attention_output_layernorm_bias);  aten_mul_tensor_60 = p_encoder_layer_7_attention_output_layernorm_bias = None
2025-03-21T20:24:13.1808153Z             
2025-03-21T20:24:13.1808884Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.1809316Z             aten_view_copy_default_304: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_112, [8, 128])
2025-03-21T20:24:13.1810113Z             aten_permute_copy_default_152: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_7_ffn_0_intermediate_dense_weight, [1, 0]);  p_encoder_layer_7_ffn_0_intermediate_dense_weight = None
2025-03-21T20:24:13.1811228Z             aten_addmm_default_112: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_7_ffn_0_intermediate_dense_bias, aten_view_copy_default_304, aten_permute_copy_default_152);  p_encoder_layer_7_ffn_0_intermediate_dense_bias = aten_view_copy_default_304 = aten_permute_copy_default_152 = None
2025-03-21T20:24:13.1811805Z             aten_view_copy_default_305: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_112, [1, 8, 512]);  aten_addmm_default_112 = None
2025-03-21T20:24:13.1811900Z             
2025-03-21T20:24:13.1812709Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.1813231Z             aten_relu_default_28: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_305);  aten_view_copy_default_305 = None
2025-03-21T20:24:13.1813338Z             
2025-03-21T20:24:13.1814077Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.1814626Z             aten_view_copy_default_306: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_28, [8, 512]);  aten_relu_default_28 = None
2025-03-21T20:24:13.1815378Z             aten_permute_copy_default_153: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_7_ffn_0_output_dense_weight, [1, 0]);  p_encoder_layer_7_ffn_0_output_dense_weight = None
2025-03-21T20:24:13.1816450Z             aten_addmm_default_113: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_7_ffn_0_output_dense_bias, aten_view_copy_default_306, aten_permute_copy_default_153);  p_encoder_layer_7_ffn_0_output_dense_bias = aten_view_copy_default_306 = aten_permute_copy_default_153 = None
2025-03-21T20:24:13.1817032Z             aten_view_copy_default_307: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_113, [1, 8, 128]);  aten_addmm_default_113 = None
2025-03-21T20:24:13.1817138Z             
2025-03-21T20:24:13.1817963Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.1818666Z             aten_add_tensor_113: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_307, aten_add_tensor_112);  aten_view_copy_default_307 = aten_add_tensor_112 = None
2025-03-21T20:24:13.1818761Z             
2025-03-21T20:24:13.1819529Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.1820325Z             aten_mul_tensor_61: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_113, p_encoder_layer_7_ffn_0_output_layernorm_weight);  aten_add_tensor_113 = p_encoder_layer_7_ffn_0_output_layernorm_weight = None
2025-03-21T20:24:13.1821102Z             aten_add_tensor_114: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_61, p_encoder_layer_7_ffn_0_output_layernorm_bias);  aten_mul_tensor_61 = p_encoder_layer_7_ffn_0_output_layernorm_bias = None
2025-03-21T20:24:13.1821193Z             
2025-03-21T20:24:13.1821929Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.1822355Z             aten_view_copy_default_308: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_114, [8, 128])
2025-03-21T20:24:13.1823133Z             aten_permute_copy_default_154: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_7_ffn_1_intermediate_dense_weight, [1, 0]);  p_encoder_layer_7_ffn_1_intermediate_dense_weight = None
2025-03-21T20:24:13.1824265Z             aten_addmm_default_114: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_7_ffn_1_intermediate_dense_bias, aten_view_copy_default_308, aten_permute_copy_default_154);  p_encoder_layer_7_ffn_1_intermediate_dense_bias = aten_view_copy_default_308 = aten_permute_copy_default_154 = None
2025-03-21T20:24:13.1824842Z             aten_view_copy_default_309: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_114, [1, 8, 512]);  aten_addmm_default_114 = None
2025-03-21T20:24:13.1824935Z             
2025-03-21T20:24:13.1825729Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.1826261Z             aten_relu_default_29: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_309);  aten_view_copy_default_309 = None
2025-03-21T20:24:13.1826353Z             
2025-03-21T20:24:13.1827099Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.1827664Z             aten_view_copy_default_310: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_29, [8, 512]);  aten_relu_default_29 = None
2025-03-21T20:24:13.1828401Z             aten_permute_copy_default_155: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_7_ffn_1_output_dense_weight, [1, 0]);  p_encoder_layer_7_ffn_1_output_dense_weight = None
2025-03-21T20:24:13.1829457Z             aten_addmm_default_115: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_7_ffn_1_output_dense_bias, aten_view_copy_default_310, aten_permute_copy_default_155);  p_encoder_layer_7_ffn_1_output_dense_bias = aten_view_copy_default_310 = aten_permute_copy_default_155 = None
2025-03-21T20:24:13.1830057Z             aten_view_copy_default_311: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_115, [1, 8, 128]);  aten_addmm_default_115 = None
2025-03-21T20:24:13.1830150Z             
2025-03-21T20:24:13.1831039Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.1831684Z             aten_add_tensor_115: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_311, aten_add_tensor_114);  aten_view_copy_default_311 = aten_add_tensor_114 = None
2025-03-21T20:24:13.1831793Z             
2025-03-21T20:24:13.1832546Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.1833445Z             aten_mul_tensor_62: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_115, p_encoder_layer_7_ffn_1_output_layernorm_weight);  aten_add_tensor_115 = p_encoder_layer_7_ffn_1_output_layernorm_weight = None
2025-03-21T20:24:13.1834224Z             aten_add_tensor_116: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_62, p_encoder_layer_7_ffn_1_output_layernorm_bias);  aten_mul_tensor_62 = p_encoder_layer_7_ffn_1_output_layernorm_bias = None
2025-03-21T20:24:13.1834332Z             
2025-03-21T20:24:13.1835072Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.1835518Z             aten_view_copy_default_312: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_116, [8, 128])
2025-03-21T20:24:13.1836299Z             aten_permute_copy_default_156: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_7_ffn_2_intermediate_dense_weight, [1, 0]);  p_encoder_layer_7_ffn_2_intermediate_dense_weight = None
2025-03-21T20:24:13.1837440Z             aten_addmm_default_116: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_7_ffn_2_intermediate_dense_bias, aten_view_copy_default_312, aten_permute_copy_default_156);  p_encoder_layer_7_ffn_2_intermediate_dense_bias = aten_view_copy_default_312 = aten_permute_copy_default_156 = None
2025-03-21T20:24:13.1838000Z             aten_view_copy_default_313: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_116, [1, 8, 512]);  aten_addmm_default_116 = None
2025-03-21T20:24:13.1838109Z             
2025-03-21T20:24:13.1838900Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.1839413Z             aten_relu_default_30: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_313);  aten_view_copy_default_313 = None
2025-03-21T20:24:13.1839550Z             
2025-03-21T20:24:13.1840284Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.1840831Z             aten_view_copy_default_314: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_30, [8, 512]);  aten_relu_default_30 = None
2025-03-21T20:24:13.1841585Z             aten_permute_copy_default_157: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_7_ffn_2_output_dense_weight, [1, 0]);  p_encoder_layer_7_ffn_2_output_dense_weight = None
2025-03-21T20:24:13.1842657Z             aten_addmm_default_117: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_7_ffn_2_output_dense_bias, aten_view_copy_default_314, aten_permute_copy_default_157);  p_encoder_layer_7_ffn_2_output_dense_bias = aten_view_copy_default_314 = aten_permute_copy_default_157 = None
2025-03-21T20:24:13.1843264Z             aten_view_copy_default_315: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_117, [1, 8, 128]);  aten_addmm_default_117 = None
2025-03-21T20:24:13.1843369Z             
2025-03-21T20:24:13.1844197Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.1844852Z             aten_add_tensor_117: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_315, aten_add_tensor_116);  aten_view_copy_default_315 = aten_add_tensor_116 = None
2025-03-21T20:24:13.1844945Z             
2025-03-21T20:24:13.1845703Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.1846508Z             aten_mul_tensor_63: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_117, p_encoder_layer_7_ffn_2_output_layernorm_weight);  aten_add_tensor_117 = p_encoder_layer_7_ffn_2_output_layernorm_weight = None
2025-03-21T20:24:13.1847291Z             aten_add_tensor_118: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_63, p_encoder_layer_7_ffn_2_output_layernorm_bias);  aten_mul_tensor_63 = p_encoder_layer_7_ffn_2_output_layernorm_bias = None
2025-03-21T20:24:13.1847384Z             
2025-03-21T20:24:13.1848133Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.1848557Z             aten_view_copy_default_316: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_118, [8, 128])
2025-03-21T20:24:13.1849313Z             aten_permute_copy_default_158: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_7_intermediate_dense_weight, [1, 0]);  p_encoder_layer_7_intermediate_dense_weight = None
2025-03-21T20:24:13.1850398Z             aten_addmm_default_118: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_7_intermediate_dense_bias, aten_view_copy_default_316, aten_permute_copy_default_158);  p_encoder_layer_7_intermediate_dense_bias = aten_view_copy_default_316 = aten_permute_copy_default_158 = None
2025-03-21T20:24:13.1850970Z             aten_view_copy_default_317: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_118, [1, 8, 512]);  aten_addmm_default_118 = None
2025-03-21T20:24:13.1851066Z             
2025-03-21T20:24:13.1851871Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.1852427Z             aten_relu_default_31: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_317);  aten_view_copy_default_317 = None
2025-03-21T20:24:13.1852520Z             
2025-03-21T20:24:13.1853287Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:415 in forward, code: layer_output = self.dense(intermediate_states)
2025-03-21T20:24:13.1853865Z             aten_view_copy_default_318: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_31, [8, 512]);  aten_relu_default_31 = None
2025-03-21T20:24:13.1854572Z             aten_permute_copy_default_159: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_7_output_dense_weight, [1, 0]);  p_encoder_layer_7_output_dense_weight = None
2025-03-21T20:24:13.1855642Z             aten_addmm_default_119: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_7_output_dense_bias, aten_view_copy_default_318, aten_permute_copy_default_159);  p_encoder_layer_7_output_dense_bias = aten_view_copy_default_318 = aten_permute_copy_default_159 = None
2025-03-21T20:24:13.1856216Z             aten_view_copy_default_319: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_119, [1, 8, 128]);  aten_addmm_default_119 = None
2025-03-21T20:24:13.1856313Z             
2025-03-21T20:24:13.1857149Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:420 in forward, code: layer_output = self.LayerNorm(layer_output + residual_tensor_1)
2025-03-21T20:24:13.1857789Z             aten_add_tensor_119: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_319, aten_add_tensor_118);  aten_view_copy_default_319 = aten_add_tensor_118 = None
2025-03-21T20:24:13.1857896Z             
2025-03-21T20:24:13.1858646Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.1859426Z             aten_mul_tensor_64: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_119, p_encoder_layer_7_output_layernorm_weight);  aten_add_tensor_119 = p_encoder_layer_7_output_layernorm_weight = None
2025-03-21T20:24:13.1860159Z             aten_add_tensor_120: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_64, p_encoder_layer_7_output_layernorm_bias);  aten_mul_tensor_64 = p_encoder_layer_7_output_layernorm_bias = None
2025-03-21T20:24:13.1860264Z             
2025-03-21T20:24:13.1860997Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:395 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.1861544Z             aten_view_copy_default_320: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_120, [8, 128]);  aten_add_tensor_120 = None
2025-03-21T20:24:13.1862318Z             aten_permute_copy_default_160: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_7_output_bottleneck_dense_weight, [1, 0]);  p_encoder_layer_7_output_bottleneck_dense_weight = None
2025-03-21T20:24:13.1863450Z             aten_addmm_default_120: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_7_output_bottleneck_dense_bias, aten_view_copy_default_320, aten_permute_copy_default_160);  p_encoder_layer_7_output_bottleneck_dense_bias = aten_view_copy_default_320 = aten_permute_copy_default_160 = None
2025-03-21T20:24:13.1864037Z             aten_view_copy_default_321: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_120, [1, 8, 512]);  aten_addmm_default_120 = None
2025-03-21T20:24:13.1864142Z             
2025-03-21T20:24:13.1864891Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:396 in forward, code: layer_outputs = self.dropout(layer_outputs)
2025-03-21T20:24:13.1865424Z             aten_clone_default_24: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_321);  aten_view_copy_default_321 = None
2025-03-21T20:24:13.1865538Z             
2025-03-21T20:24:13.1866360Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:397 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.1866982Z             aten_add_tensor_121: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_24, aten_add_tensor_107);  aten_clone_default_24 = aten_add_tensor_107 = None
2025-03-21T20:24:13.1867076Z             
2025-03-21T20:24:13.1867916Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.1868776Z             aten_mul_tensor_65: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_121, p_encoder_layer_7_output_bottleneck_layernorm_weight);  aten_add_tensor_121 = p_encoder_layer_7_output_bottleneck_layernorm_weight = None
2025-03-21T20:24:13.1869615Z             aten_add_tensor_122: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_65, p_encoder_layer_7_output_bottleneck_layernorm_bias);  aten_mul_tensor_65 = p_encoder_layer_7_output_bottleneck_layernorm_bias = None
2025-03-21T20:24:13.1869709Z             
2025-03-21T20:24:13.1870454Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:432 in forward, code: layer_input = self.dense(hidden_states)
2025-03-21T20:24:13.1870883Z             aten_view_copy_default_322: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_122, [8, 512])
2025-03-21T20:24:13.1871660Z             aten_permute_copy_default_161: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_8_bottleneck_input_dense_weight, [1, 0]);  p_encoder_layer_8_bottleneck_input_dense_weight = None
2025-03-21T20:24:13.1872783Z             aten_addmm_default_121: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_8_bottleneck_input_dense_bias, aten_view_copy_default_322, aten_permute_copy_default_161);  p_encoder_layer_8_bottleneck_input_dense_bias = aten_view_copy_default_322 = aten_permute_copy_default_161 = None
2025-03-21T20:24:13.1873449Z             aten_view_copy_default_323: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_121, [1, 8, 128]);  aten_addmm_default_121 = None
2025-03-21T20:24:13.1873544Z             
2025-03-21T20:24:13.1874315Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.1875217Z             aten_mul_tensor_66: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_323, p_encoder_layer_8_bottleneck_input_layernorm_weight);  aten_view_copy_default_323 = p_encoder_layer_8_bottleneck_input_layernorm_weight = None
2025-03-21T20:24:13.1876047Z             aten_add_tensor_123: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_66, p_encoder_layer_8_bottleneck_input_layernorm_bias);  aten_mul_tensor_66 = p_encoder_layer_8_bottleneck_input_layernorm_bias = None
2025-03-21T20:24:13.1876171Z             
2025-03-21T20:24:13.1876919Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:432 in forward, code: layer_input = self.dense(hidden_states)
2025-03-21T20:24:13.1877344Z             aten_view_copy_default_324: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_122, [8, 512])
2025-03-21T20:24:13.1878159Z             aten_permute_copy_default_162: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_8_bottleneck_attention_dense_weight, [1, 0]);  p_encoder_layer_8_bottleneck_attention_dense_weight = None
2025-03-21T20:24:13.1879329Z             aten_addmm_default_122: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_8_bottleneck_attention_dense_bias, aten_view_copy_default_324, aten_permute_copy_default_162);  p_encoder_layer_8_bottleneck_attention_dense_bias = aten_view_copy_default_324 = aten_permute_copy_default_162 = None
2025-03-21T20:24:13.1879946Z             aten_view_copy_default_325: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_122, [1, 8, 128]);  aten_addmm_default_122 = None
2025-03-21T20:24:13.1880040Z             
2025-03-21T20:24:13.1880808Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.1881746Z             aten_mul_tensor_67: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_325, p_encoder_layer_8_bottleneck_attention_layernorm_weight);  aten_view_copy_default_325 = p_encoder_layer_8_bottleneck_attention_layernorm_weight = None
2025-03-21T20:24:13.1882605Z             aten_add_tensor_124: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_67, p_encoder_layer_8_bottleneck_attention_layernorm_bias);  aten_mul_tensor_67 = p_encoder_layer_8_bottleneck_attention_layernorm_bias = None
2025-03-21T20:24:13.1882699Z             
2025-03-21T20:24:13.1883456Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:275 in forward, code: mixed_query_layer = self.query(query_tensor)
2025-03-21T20:24:13.1883882Z             aten_view_copy_default_326: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_124, [8, 128])
2025-03-21T20:24:13.1884630Z             aten_permute_copy_default_163: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_8_attention_self_query_weight, [1, 0]);  p_encoder_layer_8_attention_self_query_weight = None
2025-03-21T20:24:13.1885736Z             aten_addmm_default_123: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_8_attention_self_query_bias, aten_view_copy_default_326, aten_permute_copy_default_163);  p_encoder_layer_8_attention_self_query_bias = aten_view_copy_default_326 = aten_permute_copy_default_163 = None
2025-03-21T20:24:13.1886311Z             aten_view_copy_default_327: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_123, [1, 8, 128]);  aten_addmm_default_123 = None
2025-03-21T20:24:13.1886405Z             
2025-03-21T20:24:13.1887125Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:276 in forward, code: mixed_key_layer = self.key(key_tensor)
2025-03-21T20:24:13.1887668Z             aten_view_copy_default_328: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_124, [8, 128]);  aten_add_tensor_124 = None
2025-03-21T20:24:13.1888401Z             aten_permute_copy_default_164: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_8_attention_self_key_weight, [1, 0]);  p_encoder_layer_8_attention_self_key_weight = None
2025-03-21T20:24:13.1889508Z             aten_addmm_default_124: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_8_attention_self_key_bias, aten_view_copy_default_328, aten_permute_copy_default_164);  p_encoder_layer_8_attention_self_key_bias = aten_view_copy_default_328 = aten_permute_copy_default_164 = None
2025-03-21T20:24:13.1890068Z             aten_view_copy_default_329: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_124, [1, 8, 128]);  aten_addmm_default_124 = None
2025-03-21T20:24:13.1890199Z             
2025-03-21T20:24:13.1893088Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:277 in forward, code: mixed_value_layer = self.value(value_tensor)
2025-03-21T20:24:13.1893544Z             aten_view_copy_default_330: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_122, [8, 512])
2025-03-21T20:24:13.1894353Z             aten_permute_copy_default_165: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_8_attention_self_value_weight, [1, 0]);  p_encoder_layer_8_attention_self_value_weight = None
2025-03-21T20:24:13.1895453Z             aten_addmm_default_125: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_8_attention_self_value_bias, aten_view_copy_default_330, aten_permute_copy_default_165);  p_encoder_layer_8_attention_self_value_bias = aten_view_copy_default_330 = aten_permute_copy_default_165 = None
2025-03-21T20:24:13.1896018Z             aten_view_copy_default_331: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_125, [1, 8, 128]);  aten_addmm_default_125 = None
2025-03-21T20:24:13.1896154Z             
2025-03-21T20:24:13.1896880Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.1897473Z             aten_view_copy_default_332: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_327, [1, 8, 4, 32]);  aten_view_copy_default_327 = None
2025-03-21T20:24:13.1897580Z             
2025-03-21T20:24:13.1898320Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.1898951Z             aten_permute_copy_default_166: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_332, [0, 2, 1, 3]);  aten_view_copy_default_332 = None
2025-03-21T20:24:13.1899043Z             
2025-03-21T20:24:13.1899781Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.1900372Z             aten_view_copy_default_333: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_329, [1, 8, 4, 32]);  aten_view_copy_default_329 = None
2025-03-21T20:24:13.1900476Z             
2025-03-21T20:24:13.1901205Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.1901835Z             aten_permute_copy_default_167: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_333, [0, 2, 1, 3]);  aten_view_copy_default_333 = None
2025-03-21T20:24:13.1901925Z             
2025-03-21T20:24:13.1902866Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.1903509Z             aten_view_copy_default_334: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_331, [1, 8, 4, 32]);  aten_view_copy_default_331 = None
2025-03-21T20:24:13.1903607Z             
2025-03-21T20:24:13.1904356Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.1904971Z             aten_permute_copy_default_168: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_334, [0, 2, 1, 3]);  aten_view_copy_default_334 = None
2025-03-21T20:24:13.1905115Z             
2025-03-21T20:24:13.1906066Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:284 in forward, code: attention_scores = torch.matmul(query_layer, key_layer.transpose(-1, -2))
2025-03-21T20:24:13.1906762Z             aten_permute_copy_default_169: "f32[1, 4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_permute_copy_default_167, [0, 1, 3, 2]);  aten_permute_copy_default_167 = None
2025-03-21T20:24:13.1907390Z             aten_expand_copy_default_32: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_166, [1, 4, 8, 32]);  aten_permute_copy_default_166 = None
2025-03-21T20:24:13.1907991Z             aten_view_copy_default_335: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_32, [4, 8, 32]);  aten_expand_copy_default_32 = None
2025-03-21T20:24:13.1908615Z             aten_expand_copy_default_33: "f32[1, 4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_169, [1, 4, 32, 8]);  aten_permute_copy_default_169 = None
2025-03-21T20:24:13.1909215Z             aten_view_copy_default_336: "f32[4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_33, [4, 32, 8]);  aten_expand_copy_default_33 = None
2025-03-21T20:24:13.1909906Z             aten_bmm_default_16: "f32[4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_335, aten_view_copy_default_336);  aten_view_copy_default_335 = aten_view_copy_default_336 = None
2025-03-21T20:24:13.1910459Z             aten_view_copy_default_337: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_16, [1, 4, 8, 8]);  aten_bmm_default_16 = None
2025-03-21T20:24:13.1910554Z             
2025-03-21T20:24:13.1911443Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:285 in forward, code: attention_scores = attention_scores / math.sqrt(self.attention_head_size)
2025-03-21T20:24:13.1912134Z             aten_div_tensor_8: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_div_Tensor(aten_view_copy_default_337, _lifted_tensor_constant11);  aten_view_copy_default_337 = _lifted_tensor_constant11 = None
2025-03-21T20:24:13.1912240Z             
2025-03-21T20:24:13.1913103Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:288 in forward, code: attention_scores = attention_scores + attention_mask
2025-03-21T20:24:13.1913602Z             aten_add_tensor_125: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_div_tensor_8, aten_mul_tensor);  aten_div_tensor_8 = None
2025-03-21T20:24:13.1913697Z             
2025-03-21T20:24:13.1914537Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:290 in forward, code: attention_probs = nn.functional.softmax(attention_scores, dim=-1)
2025-03-21T20:24:13.1915081Z             aten__softmax_default_8: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten__softmax_default(aten_add_tensor_125, -1, False);  aten_add_tensor_125 = None
2025-03-21T20:24:13.1915205Z             
2025-03-21T20:24:13.1915980Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:293 in forward, code: attention_probs = self.dropout(attention_probs)
2025-03-21T20:24:13.1916479Z             aten_clone_default_25: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten__softmax_default_8);  aten__softmax_default_8 = None
2025-03-21T20:24:13.1916587Z             
2025-03-21T20:24:13.1917413Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:297 in forward, code: context_layer = torch.matmul(attention_probs, value_layer)
2025-03-21T20:24:13.1918028Z             aten_expand_copy_default_34: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_clone_default_25, [1, 4, 8, 8]);  aten_clone_default_25 = None
2025-03-21T20:24:13.1918618Z             aten_view_copy_default_338: "f32[4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_34, [4, 8, 8]);  aten_expand_copy_default_34 = None
2025-03-21T20:24:13.1919279Z             aten_expand_copy_default_35: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_168, [1, 4, 8, 32]);  aten_permute_copy_default_168 = None
2025-03-21T20:24:13.1919867Z             aten_view_copy_default_339: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_35, [4, 8, 32]);  aten_expand_copy_default_35 = None
2025-03-21T20:24:13.1920578Z             aten_bmm_default_17: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_338, aten_view_copy_default_339);  aten_view_copy_default_338 = aten_view_copy_default_339 = None
2025-03-21T20:24:13.1921113Z             aten_view_copy_default_340: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_17, [1, 4, 8, 32]);  aten_bmm_default_17 = None
2025-03-21T20:24:13.1921220Z             
2025-03-21T20:24:13.1922039Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:298 in forward, code: context_layer = context_layer.permute(0, 2, 1, 3).contiguous()
2025-03-21T20:24:13.1922667Z             aten_permute_copy_default_170: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_340, [0, 2, 1, 3]);  aten_view_copy_default_340 = None
2025-03-21T20:24:13.1923379Z             aten_clone_default_26: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_permute_copy_default_170, memory_format = torch.contiguous_format);  aten_permute_copy_default_170 = None
2025-03-21T20:24:13.1923472Z             
2025-03-21T20:24:13.1924284Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:300 in forward, code: context_layer = context_layer.view(new_context_layer_shape)
2025-03-21T20:24:13.1933473Z             aten_view_copy_default_341: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_26, [1, 8, 128]);  aten_clone_default_26 = None
2025-03-21T20:24:13.1933641Z             
2025-03-21T20:24:13.1934425Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:315 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.1935036Z             aten_view_copy_default_342: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_341, [8, 128]);  aten_view_copy_default_341 = None
2025-03-21T20:24:13.1935815Z             aten_permute_copy_default_171: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_8_attention_output_dense_weight, [1, 0]);  p_encoder_layer_8_attention_output_dense_weight = None
2025-03-21T20:24:13.1937031Z             aten_addmm_default_126: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_8_attention_output_dense_bias, aten_view_copy_default_342, aten_permute_copy_default_171);  p_encoder_layer_8_attention_output_dense_bias = aten_view_copy_default_342 = aten_permute_copy_default_171 = None
2025-03-21T20:24:13.1937595Z             aten_view_copy_default_343: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_126, [1, 8, 128]);  aten_addmm_default_126 = None
2025-03-21T20:24:13.1937730Z             
2025-03-21T20:24:13.1938609Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:318 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.1939272Z             aten_add_tensor_126: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_343, aten_add_tensor_123);  aten_view_copy_default_343 = aten_add_tensor_123 = None
2025-03-21T20:24:13.1939370Z             
2025-03-21T20:24:13.1940167Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.1941018Z             aten_mul_tensor_68: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_126, p_encoder_layer_8_attention_output_layernorm_weight);  aten_add_tensor_126 = p_encoder_layer_8_attention_output_layernorm_weight = None
2025-03-21T20:24:13.1941852Z             aten_add_tensor_127: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_68, p_encoder_layer_8_attention_output_layernorm_bias);  aten_mul_tensor_68 = p_encoder_layer_8_attention_output_layernorm_bias = None
2025-03-21T20:24:13.1941948Z             
2025-03-21T20:24:13.1942698Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.1943126Z             aten_view_copy_default_344: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_127, [8, 128])
2025-03-21T20:24:13.1943917Z             aten_permute_copy_default_172: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_8_ffn_0_intermediate_dense_weight, [1, 0]);  p_encoder_layer_8_ffn_0_intermediate_dense_weight = None
2025-03-21T20:24:13.1945034Z             aten_addmm_default_127: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_8_ffn_0_intermediate_dense_bias, aten_view_copy_default_344, aten_permute_copy_default_172);  p_encoder_layer_8_ffn_0_intermediate_dense_bias = aten_view_copy_default_344 = aten_permute_copy_default_172 = None
2025-03-21T20:24:13.1945612Z             aten_view_copy_default_345: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_127, [1, 8, 512]);  aten_addmm_default_127 = None
2025-03-21T20:24:13.1945709Z             
2025-03-21T20:24:13.1946513Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.1947031Z             aten_relu_default_32: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_345);  aten_view_copy_default_345 = None
2025-03-21T20:24:13.1947130Z             
2025-03-21T20:24:13.1947874Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.1948444Z             aten_view_copy_default_346: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_32, [8, 512]);  aten_relu_default_32 = None
2025-03-21T20:24:13.1949188Z             aten_permute_copy_default_173: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_8_ffn_0_output_dense_weight, [1, 0]);  p_encoder_layer_8_ffn_0_output_dense_weight = None
2025-03-21T20:24:13.1950251Z             aten_addmm_default_128: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_8_ffn_0_output_dense_bias, aten_view_copy_default_346, aten_permute_copy_default_173);  p_encoder_layer_8_ffn_0_output_dense_bias = aten_view_copy_default_346 = aten_permute_copy_default_173 = None
2025-03-21T20:24:13.1950896Z             aten_view_copy_default_347: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_128, [1, 8, 128]);  aten_addmm_default_128 = None
2025-03-21T20:24:13.1950996Z             
2025-03-21T20:24:13.1951839Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.1952507Z             aten_add_tensor_128: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_347, aten_add_tensor_127);  aten_view_copy_default_347 = aten_add_tensor_127 = None
2025-03-21T20:24:13.1952619Z             
2025-03-21T20:24:13.1953486Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.1954306Z             aten_mul_tensor_69: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_128, p_encoder_layer_8_ffn_0_output_layernorm_weight);  aten_add_tensor_128 = p_encoder_layer_8_ffn_0_output_layernorm_weight = None
2025-03-21T20:24:13.1955082Z             aten_add_tensor_129: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_69, p_encoder_layer_8_ffn_0_output_layernorm_bias);  aten_mul_tensor_69 = p_encoder_layer_8_ffn_0_output_layernorm_bias = None
2025-03-21T20:24:13.1955186Z             
2025-03-21T20:24:13.1955916Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.1956340Z             aten_view_copy_default_348: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_129, [8, 128])
2025-03-21T20:24:13.1957133Z             aten_permute_copy_default_174: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_8_ffn_1_intermediate_dense_weight, [1, 0]);  p_encoder_layer_8_ffn_1_intermediate_dense_weight = None
2025-03-21T20:24:13.1958263Z             aten_addmm_default_129: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_8_ffn_1_intermediate_dense_bias, aten_view_copy_default_348, aten_permute_copy_default_174);  p_encoder_layer_8_ffn_1_intermediate_dense_bias = aten_view_copy_default_348 = aten_permute_copy_default_174 = None
2025-03-21T20:24:13.1958819Z             aten_view_copy_default_349: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_129, [1, 8, 512]);  aten_addmm_default_129 = None
2025-03-21T20:24:13.1958911Z             
2025-03-21T20:24:13.1959711Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.1960227Z             aten_relu_default_33: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_349);  aten_view_copy_default_349 = None
2025-03-21T20:24:13.1960383Z             
2025-03-21T20:24:13.1961124Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.1961668Z             aten_view_copy_default_350: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_33, [8, 512]);  aten_relu_default_33 = None
2025-03-21T20:24:13.1962396Z             aten_permute_copy_default_175: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_8_ffn_1_output_dense_weight, [1, 0]);  p_encoder_layer_8_ffn_1_output_dense_weight = None
2025-03-21T20:24:13.1963515Z             aten_addmm_default_130: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_8_ffn_1_output_dense_bias, aten_view_copy_default_350, aten_permute_copy_default_175);  p_encoder_layer_8_ffn_1_output_dense_bias = aten_view_copy_default_350 = aten_permute_copy_default_175 = None
2025-03-21T20:24:13.1964101Z             aten_view_copy_default_351: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_130, [1, 8, 128]);  aten_addmm_default_130 = None
2025-03-21T20:24:13.1964206Z             
2025-03-21T20:24:13.1965030Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.1965682Z             aten_add_tensor_130: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_351, aten_add_tensor_129);  aten_view_copy_default_351 = aten_add_tensor_129 = None
2025-03-21T20:24:13.1965776Z             
2025-03-21T20:24:13.1966535Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.1967332Z             aten_mul_tensor_70: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_130, p_encoder_layer_8_ffn_1_output_layernorm_weight);  aten_add_tensor_130 = p_encoder_layer_8_ffn_1_output_layernorm_weight = None
2025-03-21T20:24:13.1968116Z             aten_add_tensor_131: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_70, p_encoder_layer_8_ffn_1_output_layernorm_bias);  aten_mul_tensor_70 = p_encoder_layer_8_ffn_1_output_layernorm_bias = None
2025-03-21T20:24:13.1968212Z             
2025-03-21T20:24:13.1968956Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.1969381Z             aten_view_copy_default_352: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_131, [8, 128])
2025-03-21T20:24:13.1970177Z             aten_permute_copy_default_176: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_8_ffn_2_intermediate_dense_weight, [1, 0]);  p_encoder_layer_8_ffn_2_intermediate_dense_weight = None
2025-03-21T20:24:13.1971294Z             aten_addmm_default_131: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_8_ffn_2_intermediate_dense_bias, aten_view_copy_default_352, aten_permute_copy_default_176);  p_encoder_layer_8_ffn_2_intermediate_dense_bias = aten_view_copy_default_352 = aten_permute_copy_default_176 = None
2025-03-21T20:24:13.1971864Z             aten_view_copy_default_353: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_131, [1, 8, 512]);  aten_addmm_default_131 = None
2025-03-21T20:24:13.1971956Z             
2025-03-21T20:24:13.1972750Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.1973301Z             aten_relu_default_34: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_353);  aten_view_copy_default_353 = None
2025-03-21T20:24:13.1973392Z             
2025-03-21T20:24:13.1974132Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.1974669Z             aten_view_copy_default_354: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_34, [8, 512]);  aten_relu_default_34 = None
2025-03-21T20:24:13.1975462Z             aten_permute_copy_default_177: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_8_ffn_2_output_dense_weight, [1, 0]);  p_encoder_layer_8_ffn_2_output_dense_weight = None
2025-03-21T20:24:13.1976543Z             aten_addmm_default_132: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_8_ffn_2_output_dense_bias, aten_view_copy_default_354, aten_permute_copy_default_177);  p_encoder_layer_8_ffn_2_output_dense_bias = aten_view_copy_default_354 = aten_permute_copy_default_177 = None
2025-03-21T20:24:13.1977116Z             aten_view_copy_default_355: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_132, [1, 8, 128]);  aten_addmm_default_132 = None
2025-03-21T20:24:13.1977213Z             
2025-03-21T20:24:13.1978042Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.1978683Z             aten_add_tensor_132: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_355, aten_add_tensor_131);  aten_view_copy_default_355 = aten_add_tensor_131 = None
2025-03-21T20:24:13.1978786Z             
2025-03-21T20:24:13.1979538Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.1980343Z             aten_mul_tensor_71: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_132, p_encoder_layer_8_ffn_2_output_layernorm_weight);  aten_add_tensor_132 = p_encoder_layer_8_ffn_2_output_layernorm_weight = None
2025-03-21T20:24:13.1981113Z             aten_add_tensor_133: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_71, p_encoder_layer_8_ffn_2_output_layernorm_bias);  aten_mul_tensor_71 = p_encoder_layer_8_ffn_2_output_layernorm_bias = None
2025-03-21T20:24:13.1981215Z             
2025-03-21T20:24:13.1981951Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.1982389Z             aten_view_copy_default_356: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_133, [8, 128])
2025-03-21T20:24:13.1983134Z             aten_permute_copy_default_178: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_8_intermediate_dense_weight, [1, 0]);  p_encoder_layer_8_intermediate_dense_weight = None
2025-03-21T20:24:13.1984228Z             aten_addmm_default_133: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_8_intermediate_dense_bias, aten_view_copy_default_356, aten_permute_copy_default_178);  p_encoder_layer_8_intermediate_dense_bias = aten_view_copy_default_356 = aten_permute_copy_default_178 = None
2025-03-21T20:24:13.1984791Z             aten_view_copy_default_357: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_133, [1, 8, 512]);  aten_addmm_default_133 = None
2025-03-21T20:24:13.1984921Z             
2025-03-21T20:24:13.1985719Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.1986252Z             aten_relu_default_35: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_357);  aten_view_copy_default_357 = None
2025-03-21T20:24:13.1986369Z             
2025-03-21T20:24:13.1987126Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:415 in forward, code: layer_output = self.dense(intermediate_states)
2025-03-21T20:24:13.1987697Z             aten_view_copy_default_358: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_35, [8, 512]);  aten_relu_default_35 = None
2025-03-21T20:24:13.1988415Z             aten_permute_copy_default_179: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_8_output_dense_weight, [1, 0]);  p_encoder_layer_8_output_dense_weight = None
2025-03-21T20:24:13.1989444Z             aten_addmm_default_134: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_8_output_dense_bias, aten_view_copy_default_358, aten_permute_copy_default_179);  p_encoder_layer_8_output_dense_bias = aten_view_copy_default_358 = aten_permute_copy_default_179 = None
2025-03-21T20:24:13.1990009Z             aten_view_copy_default_359: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_134, [1, 8, 128]);  aten_addmm_default_134 = None
2025-03-21T20:24:13.1990111Z             
2025-03-21T20:24:13.1990930Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:420 in forward, code: layer_output = self.LayerNorm(layer_output + residual_tensor_1)
2025-03-21T20:24:13.1991585Z             aten_add_tensor_134: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_359, aten_add_tensor_133);  aten_view_copy_default_359 = aten_add_tensor_133 = None
2025-03-21T20:24:13.1991678Z             
2025-03-21T20:24:13.1992436Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.1993282Z             aten_mul_tensor_72: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_134, p_encoder_layer_8_output_layernorm_weight);  aten_add_tensor_134 = p_encoder_layer_8_output_layernorm_weight = None
2025-03-21T20:24:13.1994028Z             aten_add_tensor_135: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_72, p_encoder_layer_8_output_layernorm_bias);  aten_mul_tensor_72 = p_encoder_layer_8_output_layernorm_bias = None
2025-03-21T20:24:13.1994122Z             
2025-03-21T20:24:13.1994870Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:395 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.1995397Z             aten_view_copy_default_360: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_135, [8, 128]);  aten_add_tensor_135 = None
2025-03-21T20:24:13.1996182Z             aten_permute_copy_default_180: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_8_output_bottleneck_dense_weight, [1, 0]);  p_encoder_layer_8_output_bottleneck_dense_weight = None
2025-03-21T20:24:13.1997305Z             aten_addmm_default_135: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_8_output_bottleneck_dense_bias, aten_view_copy_default_360, aten_permute_copy_default_180);  p_encoder_layer_8_output_bottleneck_dense_bias = aten_view_copy_default_360 = aten_permute_copy_default_180 = None
2025-03-21T20:24:13.1997905Z             aten_view_copy_default_361: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_135, [1, 8, 512]);  aten_addmm_default_135 = None
2025-03-21T20:24:13.1997998Z             
2025-03-21T20:24:13.1998753Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:396 in forward, code: layer_outputs = self.dropout(layer_outputs)
2025-03-21T20:24:13.1999314Z             aten_clone_default_27: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_361);  aten_view_copy_default_361 = None
2025-03-21T20:24:13.1999403Z             
2025-03-21T20:24:13.2000262Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:397 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.2000891Z             aten_add_tensor_136: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_27, aten_add_tensor_122);  aten_clone_default_27 = aten_add_tensor_122 = None
2025-03-21T20:24:13.2000995Z             
2025-03-21T20:24:13.2001741Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.2002787Z             aten_mul_tensor_73: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_136, p_encoder_layer_8_output_bottleneck_layernorm_weight);  aten_add_tensor_136 = p_encoder_layer_8_output_bottleneck_layernorm_weight = None
2025-03-21T20:24:13.2003616Z             aten_add_tensor_137: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_73, p_encoder_layer_8_output_bottleneck_layernorm_bias);  aten_mul_tensor_73 = p_encoder_layer_8_output_bottleneck_layernorm_bias = None
2025-03-21T20:24:13.2003721Z             
2025-03-21T20:24:13.2004452Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:432 in forward, code: layer_input = self.dense(hidden_states)
2025-03-21T20:24:13.2004889Z             aten_view_copy_default_362: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_137, [8, 512])
2025-03-21T20:24:13.2005657Z             aten_permute_copy_default_181: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_9_bottleneck_input_dense_weight, [1, 0]);  p_encoder_layer_9_bottleneck_input_dense_weight = None
2025-03-21T20:24:13.2006781Z             aten_addmm_default_136: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_9_bottleneck_input_dense_bias, aten_view_copy_default_362, aten_permute_copy_default_181);  p_encoder_layer_9_bottleneck_input_dense_bias = aten_view_copy_default_362 = aten_permute_copy_default_181 = None
2025-03-21T20:24:13.2007345Z             aten_view_copy_default_363: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_136, [1, 8, 128]);  aten_addmm_default_136 = None
2025-03-21T20:24:13.2007449Z             
2025-03-21T20:24:13.2008195Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.2009112Z             aten_mul_tensor_74: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_363, p_encoder_layer_9_bottleneck_input_layernorm_weight);  aten_view_copy_default_363 = p_encoder_layer_9_bottleneck_input_layernorm_weight = None
2025-03-21T20:24:13.2009929Z             aten_add_tensor_138: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_74, p_encoder_layer_9_bottleneck_input_layernorm_bias);  aten_mul_tensor_74 = p_encoder_layer_9_bottleneck_input_layernorm_bias = None
2025-03-21T20:24:13.2010094Z             
2025-03-21T20:24:13.2010818Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:432 in forward, code: layer_input = self.dense(hidden_states)
2025-03-21T20:24:13.2011255Z             aten_view_copy_default_364: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_137, [8, 512])
2025-03-21T20:24:13.2012131Z             aten_permute_copy_default_182: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_9_bottleneck_attention_dense_weight, [1, 0]);  p_encoder_layer_9_bottleneck_attention_dense_weight = None
2025-03-21T20:24:13.2013329Z             aten_addmm_default_137: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_9_bottleneck_attention_dense_bias, aten_view_copy_default_364, aten_permute_copy_default_182);  p_encoder_layer_9_bottleneck_attention_dense_bias = aten_view_copy_default_364 = aten_permute_copy_default_182 = None
2025-03-21T20:24:13.2013895Z             aten_view_copy_default_365: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_137, [1, 8, 128]);  aten_addmm_default_137 = None
2025-03-21T20:24:13.2014001Z             
2025-03-21T20:24:13.2014750Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.2015700Z             aten_mul_tensor_75: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_365, p_encoder_layer_9_bottleneck_attention_layernorm_weight);  aten_view_copy_default_365 = p_encoder_layer_9_bottleneck_attention_layernorm_weight = None
2025-03-21T20:24:13.2016553Z             aten_add_tensor_139: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_75, p_encoder_layer_9_bottleneck_attention_layernorm_bias);  aten_mul_tensor_75 = p_encoder_layer_9_bottleneck_attention_layernorm_bias = None
2025-03-21T20:24:13.2016657Z             
2025-03-21T20:24:13.2017401Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:275 in forward, code: mixed_query_layer = self.query(query_tensor)
2025-03-21T20:24:13.2017828Z             aten_view_copy_default_366: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_139, [8, 128])
2025-03-21T20:24:13.2018586Z             aten_permute_copy_default_183: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_9_attention_self_query_weight, [1, 0]);  p_encoder_layer_9_attention_self_query_weight = None
2025-03-21T20:24:13.2019693Z             aten_addmm_default_138: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_9_attention_self_query_bias, aten_view_copy_default_366, aten_permute_copy_default_183);  p_encoder_layer_9_attention_self_query_bias = aten_view_copy_default_366 = aten_permute_copy_default_183 = None
2025-03-21T20:24:13.2020255Z             aten_view_copy_default_367: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_138, [1, 8, 128]);  aten_addmm_default_138 = None
2025-03-21T20:24:13.2020347Z             
2025-03-21T20:24:13.2021075Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:276 in forward, code: mixed_key_layer = self.key(key_tensor)
2025-03-21T20:24:13.2021601Z             aten_view_copy_default_368: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_139, [8, 128]);  aten_add_tensor_139 = None
2025-03-21T20:24:13.2022365Z             aten_permute_copy_default_184: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_9_attention_self_key_weight, [1, 0]);  p_encoder_layer_9_attention_self_key_weight = None
2025-03-21T20:24:13.2023431Z             aten_addmm_default_139: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_9_attention_self_key_bias, aten_view_copy_default_368, aten_permute_copy_default_184);  p_encoder_layer_9_attention_self_key_bias = aten_view_copy_default_368 = aten_permute_copy_default_184 = None
2025-03-21T20:24:13.2024021Z             aten_view_copy_default_369: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_139, [1, 8, 128]);  aten_addmm_default_139 = None
2025-03-21T20:24:13.2024115Z             
2025-03-21T20:24:13.2024895Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:277 in forward, code: mixed_value_layer = self.value(value_tensor)
2025-03-21T20:24:13.2025319Z             aten_view_copy_default_370: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_137, [8, 512])
2025-03-21T20:24:13.2026098Z             aten_permute_copy_default_185: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_9_attention_self_value_weight, [1, 0]);  p_encoder_layer_9_attention_self_value_weight = None
2025-03-21T20:24:13.2027187Z             aten_addmm_default_140: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_9_attention_self_value_bias, aten_view_copy_default_370, aten_permute_copy_default_185);  p_encoder_layer_9_attention_self_value_bias = aten_view_copy_default_370 = aten_permute_copy_default_185 = None
2025-03-21T20:24:13.2027759Z             aten_view_copy_default_371: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_140, [1, 8, 128]);  aten_addmm_default_140 = None
2025-03-21T20:24:13.2027854Z             
2025-03-21T20:24:13.2028583Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.2029169Z             aten_view_copy_default_372: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_367, [1, 8, 4, 32]);  aten_view_copy_default_367 = None
2025-03-21T20:24:13.2029272Z             
2025-03-21T20:24:13.2030007Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.2030635Z             aten_permute_copy_default_186: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_372, [0, 2, 1, 3]);  aten_view_copy_default_372 = None
2025-03-21T20:24:13.2030728Z             
2025-03-21T20:24:13.2031451Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.2032036Z             aten_view_copy_default_373: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_369, [1, 8, 4, 32]);  aten_view_copy_default_369 = None
2025-03-21T20:24:13.2032128Z             
2025-03-21T20:24:13.2032868Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.2033573Z             aten_permute_copy_default_187: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_373, [0, 2, 1, 3]);  aten_view_copy_default_373 = None
2025-03-21T20:24:13.2033709Z             
2025-03-21T20:24:13.2034421Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.2035026Z             aten_view_copy_default_374: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_371, [1, 8, 4, 32]);  aten_view_copy_default_371 = None
2025-03-21T20:24:13.2035117Z             
2025-03-21T20:24:13.2035863Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.2036532Z             aten_permute_copy_default_188: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_374, [0, 2, 1, 3]);  aten_view_copy_default_374 = None
2025-03-21T20:24:13.2036637Z             
2025-03-21T20:24:13.2037505Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:284 in forward, code: attention_scores = torch.matmul(query_layer, key_layer.transpose(-1, -2))
2025-03-21T20:24:13.2038179Z             aten_permute_copy_default_189: "f32[1, 4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_permute_copy_default_187, [0, 1, 3, 2]);  aten_permute_copy_default_187 = None
2025-03-21T20:24:13.2038799Z             aten_expand_copy_default_36: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_186, [1, 4, 8, 32]);  aten_permute_copy_default_186 = None
2025-03-21T20:24:13.2039398Z             aten_view_copy_default_375: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_36, [4, 8, 32]);  aten_expand_copy_default_36 = None
2025-03-21T20:24:13.2040021Z             aten_expand_copy_default_37: "f32[1, 4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_189, [1, 4, 32, 8]);  aten_permute_copy_default_189 = None
2025-03-21T20:24:13.2040625Z             aten_view_copy_default_376: "f32[4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_37, [4, 32, 8]);  aten_expand_copy_default_37 = None
2025-03-21T20:24:13.2041315Z             aten_bmm_default_18: "f32[4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_375, aten_view_copy_default_376);  aten_view_copy_default_375 = aten_view_copy_default_376 = None
2025-03-21T20:24:13.2041860Z             aten_view_copy_default_377: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_18, [1, 4, 8, 8]);  aten_bmm_default_18 = None
2025-03-21T20:24:13.2041951Z             
2025-03-21T20:24:13.2042822Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:285 in forward, code: attention_scores = attention_scores / math.sqrt(self.attention_head_size)
2025-03-21T20:24:13.2043521Z             aten_div_tensor_9: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_div_Tensor(aten_view_copy_default_377, _lifted_tensor_constant12);  aten_view_copy_default_377 = _lifted_tensor_constant12 = None
2025-03-21T20:24:13.2043618Z             
2025-03-21T20:24:13.2044408Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:288 in forward, code: attention_scores = attention_scores + attention_mask
2025-03-21T20:24:13.2044892Z             aten_add_tensor_140: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_div_tensor_9, aten_mul_tensor);  aten_div_tensor_9 = None
2025-03-21T20:24:13.2044994Z             
2025-03-21T20:24:13.2045835Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:290 in forward, code: attention_probs = nn.functional.softmax(attention_scores, dim=-1)
2025-03-21T20:24:13.2046411Z             aten__softmax_default_9: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten__softmax_default(aten_add_tensor_140, -1, False);  aten_add_tensor_140 = None
2025-03-21T20:24:13.2046505Z             
2025-03-21T20:24:13.2047269Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:293 in forward, code: attention_probs = self.dropout(attention_probs)
2025-03-21T20:24:13.2047764Z             aten_clone_default_28: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten__softmax_default_9);  aten__softmax_default_9 = None
2025-03-21T20:24:13.2047891Z             
2025-03-21T20:24:13.2048710Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:297 in forward, code: context_layer = torch.matmul(attention_probs, value_layer)
2025-03-21T20:24:13.2049280Z             aten_expand_copy_default_38: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_clone_default_28, [1, 4, 8, 8]);  aten_clone_default_28 = None
2025-03-21T20:24:13.2049893Z             aten_view_copy_default_378: "f32[4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_38, [4, 8, 8]);  aten_expand_copy_default_38 = None
2025-03-21T20:24:13.2050513Z             aten_expand_copy_default_39: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_188, [1, 4, 8, 32]);  aten_permute_copy_default_188 = None
2025-03-21T20:24:13.2051108Z             aten_view_copy_default_379: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_39, [4, 8, 32]);  aten_expand_copy_default_39 = None
2025-03-21T20:24:13.2051800Z             aten_bmm_default_19: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_378, aten_view_copy_default_379);  aten_view_copy_default_378 = aten_view_copy_default_379 = None
2025-03-21T20:24:13.2052354Z             aten_view_copy_default_380: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_19, [1, 4, 8, 32]);  aten_bmm_default_19 = None
2025-03-21T20:24:13.2052449Z             
2025-03-21T20:24:13.2053278Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:298 in forward, code: context_layer = context_layer.permute(0, 2, 1, 3).contiguous()
2025-03-21T20:24:13.2053895Z             aten_permute_copy_default_190: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_380, [0, 2, 1, 3]);  aten_view_copy_default_380 = None
2025-03-21T20:24:13.2054620Z             aten_clone_default_29: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_permute_copy_default_190, memory_format = torch.contiguous_format);  aten_permute_copy_default_190 = None
2025-03-21T20:24:13.2054717Z             
2025-03-21T20:24:13.2055540Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:300 in forward, code: context_layer = context_layer.view(new_context_layer_shape)
2025-03-21T20:24:13.2056099Z             aten_view_copy_default_381: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_29, [1, 8, 128]);  aten_clone_default_29 = None
2025-03-21T20:24:13.2056207Z             
2025-03-21T20:24:13.2056938Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:315 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.2057531Z             aten_view_copy_default_382: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_381, [8, 128]);  aten_view_copy_default_381 = None
2025-03-21T20:24:13.2058337Z             aten_permute_copy_default_191: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_9_attention_output_dense_weight, [1, 0]);  p_encoder_layer_9_attention_output_dense_weight = None
2025-03-21T20:24:13.2059465Z             aten_addmm_default_141: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_9_attention_output_dense_bias, aten_view_copy_default_382, aten_permute_copy_default_191);  p_encoder_layer_9_attention_output_dense_bias = aten_view_copy_default_382 = aten_permute_copy_default_191 = None
2025-03-21T20:24:13.2060048Z             aten_view_copy_default_383: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_141, [1, 8, 128]);  aten_addmm_default_141 = None
2025-03-21T20:24:13.2060150Z             
2025-03-21T20:24:13.2061003Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:318 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.2061848Z             aten_add_tensor_141: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_383, aten_add_tensor_138);  aten_view_copy_default_383 = aten_add_tensor_138 = None
2025-03-21T20:24:13.2061948Z             
2025-03-21T20:24:13.2062702Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.2063564Z             aten_mul_tensor_76: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_141, p_encoder_layer_9_attention_output_layernorm_weight);  aten_add_tensor_141 = p_encoder_layer_9_attention_output_layernorm_weight = None
2025-03-21T20:24:13.2064383Z             aten_add_tensor_142: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_76, p_encoder_layer_9_attention_output_layernorm_bias);  aten_mul_tensor_76 = p_encoder_layer_9_attention_output_layernorm_bias = None
2025-03-21T20:24:13.2064483Z             
2025-03-21T20:24:13.2065220Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.2065653Z             aten_view_copy_default_384: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_142, [8, 128])
2025-03-21T20:24:13.2066436Z             aten_permute_copy_default_192: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_9_ffn_0_intermediate_dense_weight, [1, 0]);  p_encoder_layer_9_ffn_0_intermediate_dense_weight = None
2025-03-21T20:24:13.2067566Z             aten_addmm_default_142: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_9_ffn_0_intermediate_dense_bias, aten_view_copy_default_384, aten_permute_copy_default_192);  p_encoder_layer_9_ffn_0_intermediate_dense_bias = aten_view_copy_default_384 = aten_permute_copy_default_192 = None
2025-03-21T20:24:13.2068130Z             aten_view_copy_default_385: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_142, [1, 8, 512]);  aten_addmm_default_142 = None
2025-03-21T20:24:13.2068230Z             
2025-03-21T20:24:13.2069027Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.2069550Z             aten_relu_default_36: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_385);  aten_view_copy_default_385 = None
2025-03-21T20:24:13.2069647Z             
2025-03-21T20:24:13.2070391Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.2070959Z             aten_view_copy_default_386: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_36, [8, 512]);  aten_relu_default_36 = None
2025-03-21T20:24:13.2071696Z             aten_permute_copy_default_193: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_9_ffn_0_output_dense_weight, [1, 0]);  p_encoder_layer_9_ffn_0_output_dense_weight = None
2025-03-21T20:24:13.2072800Z             aten_addmm_default_143: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_9_ffn_0_output_dense_bias, aten_view_copy_default_386, aten_permute_copy_default_193);  p_encoder_layer_9_ffn_0_output_dense_bias = aten_view_copy_default_386 = aten_permute_copy_default_193 = None
2025-03-21T20:24:13.2073449Z             aten_view_copy_default_387: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_143, [1, 8, 128]);  aten_addmm_default_143 = None
2025-03-21T20:24:13.2073545Z             
2025-03-21T20:24:13.2074405Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.2075051Z             aten_add_tensor_143: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_387, aten_add_tensor_142);  aten_view_copy_default_387 = aten_add_tensor_142 = None
2025-03-21T20:24:13.2075154Z             
2025-03-21T20:24:13.2075902Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.2076708Z             aten_mul_tensor_77: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_143, p_encoder_layer_9_ffn_0_output_layernorm_weight);  aten_add_tensor_143 = p_encoder_layer_9_ffn_0_output_layernorm_weight = None
2025-03-21T20:24:13.2077482Z             aten_add_tensor_144: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_77, p_encoder_layer_9_ffn_0_output_layernorm_bias);  aten_mul_tensor_77 = p_encoder_layer_9_ffn_0_output_layernorm_bias = None
2025-03-21T20:24:13.2077586Z             
2025-03-21T20:24:13.2078316Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.2078744Z             aten_view_copy_default_388: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_144, [8, 128])
2025-03-21T20:24:13.2079532Z             aten_permute_copy_default_194: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_9_ffn_1_intermediate_dense_weight, [1, 0]);  p_encoder_layer_9_ffn_1_intermediate_dense_weight = None
2025-03-21T20:24:13.2080652Z             aten_addmm_default_144: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_9_ffn_1_intermediate_dense_bias, aten_view_copy_default_388, aten_permute_copy_default_194);  p_encoder_layer_9_ffn_1_intermediate_dense_bias = aten_view_copy_default_388 = aten_permute_copy_default_194 = None
2025-03-21T20:24:13.2081223Z             aten_view_copy_default_389: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_144, [1, 8, 512]);  aten_addmm_default_144 = None
2025-03-21T20:24:13.2081316Z             
2025-03-21T20:24:13.2082122Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.2082664Z             aten_relu_default_37: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_389);  aten_view_copy_default_389 = None
2025-03-21T20:24:13.2082766Z             
2025-03-21T20:24:13.2083503Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.2084049Z             aten_view_copy_default_390: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_37, [8, 512]);  aten_relu_default_37 = None
2025-03-21T20:24:13.2084803Z             aten_permute_copy_default_195: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_9_ffn_1_output_dense_weight, [1, 0]);  p_encoder_layer_9_ffn_1_output_dense_weight = None
2025-03-21T20:24:13.2085895Z             aten_addmm_default_145: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_9_ffn_1_output_dense_bias, aten_view_copy_default_390, aten_permute_copy_default_195);  p_encoder_layer_9_ffn_1_output_dense_bias = aten_view_copy_default_390 = aten_permute_copy_default_195 = None
2025-03-21T20:24:13.2086493Z             aten_view_copy_default_391: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_145, [1, 8, 128]);  aten_addmm_default_145 = None
2025-03-21T20:24:13.2086595Z             
2025-03-21T20:24:13.2087420Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.2088072Z             aten_add_tensor_145: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_391, aten_add_tensor_144);  aten_view_copy_default_391 = aten_add_tensor_144 = None
2025-03-21T20:24:13.2088164Z             
2025-03-21T20:24:13.2088921Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.2089717Z             aten_mul_tensor_78: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_145, p_encoder_layer_9_ffn_1_output_layernorm_weight);  aten_add_tensor_145 = p_encoder_layer_9_ffn_1_output_layernorm_weight = None
2025-03-21T20:24:13.2090492Z             aten_add_tensor_146: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_78, p_encoder_layer_9_ffn_1_output_layernorm_bias);  aten_mul_tensor_78 = p_encoder_layer_9_ffn_1_output_layernorm_bias = None
2025-03-21T20:24:13.2090588Z             
2025-03-21T20:24:13.2091327Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.2091760Z             aten_view_copy_default_392: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_146, [8, 128])
2025-03-21T20:24:13.2092541Z             aten_permute_copy_default_196: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_9_ffn_2_intermediate_dense_weight, [1, 0]);  p_encoder_layer_9_ffn_2_intermediate_dense_weight = None
2025-03-21T20:24:13.2093668Z             aten_addmm_default_146: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_9_ffn_2_intermediate_dense_bias, aten_view_copy_default_392, aten_permute_copy_default_196);  p_encoder_layer_9_ffn_2_intermediate_dense_bias = aten_view_copy_default_392 = aten_permute_copy_default_196 = None
2025-03-21T20:24:13.2094243Z             aten_view_copy_default_393: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_146, [1, 8, 512]);  aten_addmm_default_146 = None
2025-03-21T20:24:13.2094358Z             
2025-03-21T20:24:13.2095154Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.2095677Z             aten_relu_default_38: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_393);  aten_view_copy_default_393 = None
2025-03-21T20:24:13.2095769Z             
2025-03-21T20:24:13.2096508Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.2097098Z             aten_view_copy_default_394: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_38, [8, 512]);  aten_relu_default_38 = None
2025-03-21T20:24:13.2097834Z             aten_permute_copy_default_197: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_9_ffn_2_output_dense_weight, [1, 0]);  p_encoder_layer_9_ffn_2_output_dense_weight = None
2025-03-21T20:24:13.2098915Z             aten_addmm_default_147: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_9_ffn_2_output_dense_bias, aten_view_copy_default_394, aten_permute_copy_default_197);  p_encoder_layer_9_ffn_2_output_dense_bias = aten_view_copy_default_394 = aten_permute_copy_default_197 = None
2025-03-21T20:24:13.2099483Z             aten_view_copy_default_395: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_147, [1, 8, 128]);  aten_addmm_default_147 = None
2025-03-21T20:24:13.2099577Z             
2025-03-21T20:24:13.2100414Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.2101056Z             aten_add_tensor_147: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_395, aten_add_tensor_146);  aten_view_copy_default_395 = aten_add_tensor_146 = None
2025-03-21T20:24:13.2101159Z             
2025-03-21T20:24:13.2101911Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.2102891Z             aten_mul_tensor_79: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_147, p_encoder_layer_9_ffn_2_output_layernorm_weight);  aten_add_tensor_147 = p_encoder_layer_9_ffn_2_output_layernorm_weight = None
2025-03-21T20:24:13.2103666Z             aten_add_tensor_148: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_79, p_encoder_layer_9_ffn_2_output_layernorm_bias);  aten_mul_tensor_79 = p_encoder_layer_9_ffn_2_output_layernorm_bias = None
2025-03-21T20:24:13.2103773Z             
2025-03-21T20:24:13.2104506Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.2104938Z             aten_view_copy_default_396: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_148, [8, 128])
2025-03-21T20:24:13.2105678Z             aten_permute_copy_default_198: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_9_intermediate_dense_weight, [1, 0]);  p_encoder_layer_9_intermediate_dense_weight = None
2025-03-21T20:24:13.2106780Z             aten_addmm_default_148: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_9_intermediate_dense_bias, aten_view_copy_default_396, aten_permute_copy_default_198);  p_encoder_layer_9_intermediate_dense_bias = aten_view_copy_default_396 = aten_permute_copy_default_198 = None
2025-03-21T20:24:13.2107403Z             aten_view_copy_default_397: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_148, [1, 8, 512]);  aten_addmm_default_148 = None
2025-03-21T20:24:13.2107503Z             
2025-03-21T20:24:13.2108294Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.2108809Z             aten_relu_default_39: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_397);  aten_view_copy_default_397 = None
2025-03-21T20:24:13.2108948Z             
2025-03-21T20:24:13.2109758Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:415 in forward, code: layer_output = self.dense(intermediate_states)
2025-03-21T20:24:13.2110309Z             aten_view_copy_default_398: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_39, [8, 512]);  aten_relu_default_39 = None
2025-03-21T20:24:13.2111037Z             aten_permute_copy_default_199: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_9_output_dense_weight, [1, 0]);  p_encoder_layer_9_output_dense_weight = None
2025-03-21T20:24:13.2112075Z             aten_addmm_default_149: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_9_output_dense_bias, aten_view_copy_default_398, aten_permute_copy_default_199);  p_encoder_layer_9_output_dense_bias = aten_view_copy_default_398 = aten_permute_copy_default_199 = None
2025-03-21T20:24:13.2112641Z             aten_view_copy_default_399: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_149, [1, 8, 128]);  aten_addmm_default_149 = None
2025-03-21T20:24:13.2112746Z             
2025-03-21T20:24:13.2113649Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:420 in forward, code: layer_output = self.LayerNorm(layer_output + residual_tensor_1)
2025-03-21T20:24:13.2114299Z             aten_add_tensor_149: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_399, aten_add_tensor_148);  aten_view_copy_default_399 = aten_add_tensor_148 = None
2025-03-21T20:24:13.2114392Z             
2025-03-21T20:24:13.2115149Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.2115912Z             aten_mul_tensor_80: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_149, p_encoder_layer_9_output_layernorm_weight);  aten_add_tensor_149 = p_encoder_layer_9_output_layernorm_weight = None
2025-03-21T20:24:13.2116658Z             aten_add_tensor_150: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_80, p_encoder_layer_9_output_layernorm_bias);  aten_mul_tensor_80 = p_encoder_layer_9_output_layernorm_bias = None
2025-03-21T20:24:13.2116743Z             
2025-03-21T20:24:13.2117474Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:395 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.2118015Z             aten_view_copy_default_400: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_150, [8, 128]);  aten_add_tensor_150 = None
2025-03-21T20:24:13.2118791Z             aten_permute_copy_default_200: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_9_output_bottleneck_dense_weight, [1, 0]);  p_encoder_layer_9_output_bottleneck_dense_weight = None
2025-03-21T20:24:13.2119946Z             aten_addmm_default_150: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_9_output_bottleneck_dense_bias, aten_view_copy_default_400, aten_permute_copy_default_200);  p_encoder_layer_9_output_bottleneck_dense_bias = aten_view_copy_default_400 = aten_permute_copy_default_200 = None
2025-03-21T20:24:13.2120502Z             aten_view_copy_default_401: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_150, [1, 8, 512]);  aten_addmm_default_150 = None
2025-03-21T20:24:13.2120602Z             
2025-03-21T20:24:13.2121369Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:396 in forward, code: layer_outputs = self.dropout(layer_outputs)
2025-03-21T20:24:13.2121933Z             aten_clone_default_30: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_401);  aten_view_copy_default_401 = None
2025-03-21T20:24:13.2122026Z             
2025-03-21T20:24:13.2122875Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:397 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.2123477Z             aten_add_tensor_151: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_30, aten_add_tensor_137);  aten_clone_default_30 = aten_add_tensor_137 = None
2025-03-21T20:24:13.2123580Z             
2025-03-21T20:24:13.2124325Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.2125196Z             aten_mul_tensor_81: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_151, p_encoder_layer_9_output_bottleneck_layernorm_weight);  aten_add_tensor_151 = p_encoder_layer_9_output_bottleneck_layernorm_weight = None
2025-03-21T20:24:13.2126022Z             aten_add_tensor_152: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_81, p_encoder_layer_9_output_bottleneck_layernorm_bias);  aten_mul_tensor_81 = p_encoder_layer_9_output_bottleneck_layernorm_bias = None
2025-03-21T20:24:13.2126126Z             
2025-03-21T20:24:13.2126851Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:432 in forward, code: layer_input = self.dense(hidden_states)
2025-03-21T20:24:13.2127293Z             aten_view_copy_default_402: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_152, [8, 512])
2025-03-21T20:24:13.2128058Z             aten_permute_copy_default_201: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_10_bottleneck_input_dense_weight, [1, 0]);  p_encoder_layer_10_bottleneck_input_dense_weight = None
2025-03-21T20:24:13.2129190Z             aten_addmm_default_151: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_10_bottleneck_input_dense_bias, aten_view_copy_default_402, aten_permute_copy_default_201);  p_encoder_layer_10_bottleneck_input_dense_bias = aten_view_copy_default_402 = aten_permute_copy_default_201 = None
2025-03-21T20:24:13.2129747Z             aten_view_copy_default_403: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_151, [1, 8, 128]);  aten_addmm_default_151 = None
2025-03-21T20:24:13.2129849Z             
2025-03-21T20:24:13.2130595Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.2131500Z             aten_mul_tensor_82: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_403, p_encoder_layer_10_bottleneck_input_layernorm_weight);  aten_view_copy_default_403 = p_encoder_layer_10_bottleneck_input_layernorm_weight = None
2025-03-21T20:24:13.2132359Z             aten_add_tensor_153: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_82, p_encoder_layer_10_bottleneck_input_layernorm_bias);  aten_mul_tensor_82 = p_encoder_layer_10_bottleneck_input_layernorm_bias = None
2025-03-21T20:24:13.2132449Z             
2025-03-21T20:24:13.2133182Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:432 in forward, code: layer_input = self.dense(hidden_states)
2025-03-21T20:24:13.2133629Z             aten_view_copy_default_404: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_152, [8, 512])
2025-03-21T20:24:13.2134479Z             aten_permute_copy_default_202: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_10_bottleneck_attention_dense_weight, [1, 0]);  p_encoder_layer_10_bottleneck_attention_dense_weight = None
2025-03-21T20:24:13.2135663Z             aten_addmm_default_152: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_10_bottleneck_attention_dense_bias, aten_view_copy_default_404, aten_permute_copy_default_202);  p_encoder_layer_10_bottleneck_attention_dense_bias = aten_view_copy_default_404 = aten_permute_copy_default_202 = None
2025-03-21T20:24:13.2136233Z             aten_view_copy_default_405: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_152, [1, 8, 128]);  aten_addmm_default_152 = None
2025-03-21T20:24:13.2136327Z             
2025-03-21T20:24:13.2137090Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.2138024Z             aten_mul_tensor_83: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_405, p_encoder_layer_10_bottleneck_attention_layernorm_weight);  aten_view_copy_default_405 = p_encoder_layer_10_bottleneck_attention_layernorm_weight = None
2025-03-21T20:24:13.2138892Z             aten_add_tensor_154: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_83, p_encoder_layer_10_bottleneck_attention_layernorm_bias);  aten_mul_tensor_83 = p_encoder_layer_10_bottleneck_attention_layernorm_bias = None
2025-03-21T20:24:13.2138986Z             
2025-03-21T20:24:13.2139746Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:275 in forward, code: mixed_query_layer = self.query(query_tensor)
2025-03-21T20:24:13.2140171Z             aten_view_copy_default_406: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_154, [8, 128])
2025-03-21T20:24:13.2140929Z             aten_permute_copy_default_203: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_10_attention_self_query_weight, [1, 0]);  p_encoder_layer_10_attention_self_query_weight = None
2025-03-21T20:24:13.2142021Z             aten_addmm_default_153: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_10_attention_self_query_bias, aten_view_copy_default_406, aten_permute_copy_default_203);  p_encoder_layer_10_attention_self_query_bias = aten_view_copy_default_406 = aten_permute_copy_default_203 = None
2025-03-21T20:24:13.2142593Z             aten_view_copy_default_407: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_153, [1, 8, 128]);  aten_addmm_default_153 = None
2025-03-21T20:24:13.2142684Z             
2025-03-21T20:24:13.2143417Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:276 in forward, code: mixed_key_layer = self.key(key_tensor)
2025-03-21T20:24:13.2143963Z             aten_view_copy_default_408: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_154, [8, 128]);  aten_add_tensor_154 = None
2025-03-21T20:24:13.2144712Z             aten_permute_copy_default_204: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_10_attention_self_key_weight, [1, 0]);  p_encoder_layer_10_attention_self_key_weight = None
2025-03-21T20:24:13.2145776Z             aten_addmm_default_154: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_10_attention_self_key_bias, aten_view_copy_default_408, aten_permute_copy_default_204);  p_encoder_layer_10_attention_self_key_bias = aten_view_copy_default_408 = aten_permute_copy_default_204 = None
2025-03-21T20:24:13.2146398Z             aten_view_copy_default_409: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_154, [1, 8, 128]);  aten_addmm_default_154 = None
2025-03-21T20:24:13.2146487Z             
2025-03-21T20:24:13.2147288Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:277 in forward, code: mixed_value_layer = self.value(value_tensor)
2025-03-21T20:24:13.2147706Z             aten_view_copy_default_410: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_152, [8, 512])
2025-03-21T20:24:13.2148466Z             aten_permute_copy_default_205: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_10_attention_self_value_weight, [1, 0]);  p_encoder_layer_10_attention_self_value_weight = None
2025-03-21T20:24:13.2149554Z             aten_addmm_default_155: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_10_attention_self_value_bias, aten_view_copy_default_410, aten_permute_copy_default_205);  p_encoder_layer_10_attention_self_value_bias = aten_view_copy_default_410 = aten_permute_copy_default_205 = None
2025-03-21T20:24:13.2150125Z             aten_view_copy_default_411: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_155, [1, 8, 128]);  aten_addmm_default_155 = None
2025-03-21T20:24:13.2150212Z             
2025-03-21T20:24:13.2150940Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.2151523Z             aten_view_copy_default_412: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_407, [1, 8, 4, 32]);  aten_view_copy_default_407 = None
2025-03-21T20:24:13.2151613Z             
2025-03-21T20:24:13.2152357Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.2153058Z             aten_permute_copy_default_206: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_412, [0, 2, 1, 3]);  aten_view_copy_default_412 = None
2025-03-21T20:24:13.2153165Z             
2025-03-21T20:24:13.2153870Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.2154468Z             aten_view_copy_default_413: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_409, [1, 8, 4, 32]);  aten_view_copy_default_409 = None
2025-03-21T20:24:13.2154558Z             
2025-03-21T20:24:13.2155301Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.2155913Z             aten_permute_copy_default_207: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_413, [0, 2, 1, 3]);  aten_view_copy_default_413 = None
2025-03-21T20:24:13.2156044Z             
2025-03-21T20:24:13.2156748Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.2157343Z             aten_view_copy_default_414: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_411, [1, 8, 4, 32]);  aten_view_copy_default_411 = None
2025-03-21T20:24:13.2157462Z             
2025-03-21T20:24:13.2158218Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.2158843Z             aten_permute_copy_default_208: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_414, [0, 2, 1, 3]);  aten_view_copy_default_414 = None
2025-03-21T20:24:13.2158938Z             
2025-03-21T20:24:13.2159841Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:284 in forward, code: attention_scores = torch.matmul(query_layer, key_layer.transpose(-1, -2))
2025-03-21T20:24:13.2160485Z             aten_permute_copy_default_209: "f32[1, 4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_permute_copy_default_207, [0, 1, 3, 2]);  aten_permute_copy_default_207 = None
2025-03-21T20:24:13.2161116Z             aten_expand_copy_default_40: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_206, [1, 4, 8, 32]);  aten_permute_copy_default_206 = None
2025-03-21T20:24:13.2161705Z             aten_view_copy_default_415: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_40, [4, 8, 32]);  aten_expand_copy_default_40 = None
2025-03-21T20:24:13.2162341Z             aten_expand_copy_default_41: "f32[1, 4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_209, [1, 4, 32, 8]);  aten_permute_copy_default_209 = None
2025-03-21T20:24:13.2162930Z             aten_view_copy_default_416: "f32[4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_41, [4, 32, 8]);  aten_expand_copy_default_41 = None
2025-03-21T20:24:13.2163634Z             aten_bmm_default_20: "f32[4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_415, aten_view_copy_default_416);  aten_view_copy_default_415 = aten_view_copy_default_416 = None
2025-03-21T20:24:13.2164173Z             aten_view_copy_default_417: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_20, [1, 4, 8, 8]);  aten_bmm_default_20 = None
2025-03-21T20:24:13.2164275Z             
2025-03-21T20:24:13.2165141Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:285 in forward, code: attention_scores = attention_scores / math.sqrt(self.attention_head_size)
2025-03-21T20:24:13.2165834Z             aten_div_tensor_10: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_div_Tensor(aten_view_copy_default_417, _lifted_tensor_constant13);  aten_view_copy_default_417 = _lifted_tensor_constant13 = None
2025-03-21T20:24:13.2165922Z             
2025-03-21T20:24:13.2166714Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:288 in forward, code: attention_scores = attention_scores + attention_mask
2025-03-21T20:24:13.2167206Z             aten_add_tensor_155: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_div_tensor_10, aten_mul_tensor);  aten_div_tensor_10 = None
2025-03-21T20:24:13.2167332Z             
2025-03-21T20:24:13.2168172Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:290 in forward, code: attention_probs = nn.functional.softmax(attention_scores, dim=-1)
2025-03-21T20:24:13.2168711Z             aten__softmax_default_10: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten__softmax_default(aten_add_tensor_155, -1, False);  aten_add_tensor_155 = None
2025-03-21T20:24:13.2168800Z             
2025-03-21T20:24:13.2169556Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:293 in forward, code: attention_probs = self.dropout(attention_probs)
2025-03-21T20:24:13.2170114Z             aten_clone_default_31: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten__softmax_default_10);  aten__softmax_default_10 = None
2025-03-21T20:24:13.2170205Z             
2025-03-21T20:24:13.2171016Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:297 in forward, code: context_layer = torch.matmul(attention_probs, value_layer)
2025-03-21T20:24:13.2171605Z             aten_expand_copy_default_42: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_clone_default_31, [1, 4, 8, 8]);  aten_clone_default_31 = None
2025-03-21T20:24:13.2172193Z             aten_view_copy_default_418: "f32[4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_42, [4, 8, 8]);  aten_expand_copy_default_42 = None
2025-03-21T20:24:13.2172968Z             aten_expand_copy_default_43: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_208, [1, 4, 8, 32]);  aten_permute_copy_default_208 = None
2025-03-21T20:24:13.2173573Z             aten_view_copy_default_419: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_43, [4, 8, 32]);  aten_expand_copy_default_43 = None
2025-03-21T20:24:13.2174268Z             aten_bmm_default_21: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_418, aten_view_copy_default_419);  aten_view_copy_default_418 = aten_view_copy_default_419 = None
2025-03-21T20:24:13.2174811Z             aten_view_copy_default_420: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_21, [1, 4, 8, 32]);  aten_bmm_default_21 = None
2025-03-21T20:24:13.2174903Z             
2025-03-21T20:24:13.2175730Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:298 in forward, code: context_layer = context_layer.permute(0, 2, 1, 3).contiguous()
2025-03-21T20:24:13.2176342Z             aten_permute_copy_default_210: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_420, [0, 2, 1, 3]);  aten_view_copy_default_420 = None
2025-03-21T20:24:13.2177061Z             aten_clone_default_32: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_permute_copy_default_210, memory_format = torch.contiguous_format);  aten_permute_copy_default_210 = None
2025-03-21T20:24:13.2177152Z             
2025-03-21T20:24:13.2177960Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:300 in forward, code: context_layer = context_layer.view(new_context_layer_shape)
2025-03-21T20:24:13.2178523Z             aten_view_copy_default_421: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_32, [1, 8, 128]);  aten_clone_default_32 = None
2025-03-21T20:24:13.2178613Z             
2025-03-21T20:24:13.2179353Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:315 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.2179966Z             aten_view_copy_default_422: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_421, [8, 128]);  aten_view_copy_default_421 = None
2025-03-21T20:24:13.2180747Z             aten_permute_copy_default_211: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_10_attention_output_dense_weight, [1, 0]);  p_encoder_layer_10_attention_output_dense_weight = None
2025-03-21T20:24:13.2181868Z             aten_addmm_default_156: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_10_attention_output_dense_bias, aten_view_copy_default_422, aten_permute_copy_default_211);  p_encoder_layer_10_attention_output_dense_bias = aten_view_copy_default_422 = aten_permute_copy_default_211 = None
2025-03-21T20:24:13.2182494Z             aten_view_copy_default_423: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_156, [1, 8, 128]);  aten_addmm_default_156 = None
2025-03-21T20:24:13.2182589Z             
2025-03-21T20:24:13.2183442Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:318 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.2184084Z             aten_add_tensor_156: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_423, aten_add_tensor_153);  aten_view_copy_default_423 = aten_add_tensor_153 = None
2025-03-21T20:24:13.2184184Z             
2025-03-21T20:24:13.2184931Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.2185790Z             aten_mul_tensor_84: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_156, p_encoder_layer_10_attention_output_layernorm_weight);  aten_add_tensor_156 = p_encoder_layer_10_attention_output_layernorm_weight = None
2025-03-21T20:24:13.2186616Z             aten_add_tensor_157: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_84, p_encoder_layer_10_attention_output_layernorm_bias);  aten_mul_tensor_84 = p_encoder_layer_10_attention_output_layernorm_bias = None
2025-03-21T20:24:13.2186713Z             
2025-03-21T20:24:13.2187443Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.2187879Z             aten_view_copy_default_424: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_157, [8, 128])
2025-03-21T20:24:13.2188667Z             aten_permute_copy_default_212: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_10_ffn_0_intermediate_dense_weight, [1, 0]);  p_encoder_layer_10_ffn_0_intermediate_dense_weight = None
2025-03-21T20:24:13.2189806Z             aten_addmm_default_157: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_10_ffn_0_intermediate_dense_bias, aten_view_copy_default_424, aten_permute_copy_default_212);  p_encoder_layer_10_ffn_0_intermediate_dense_bias = aten_view_copy_default_424 = aten_permute_copy_default_212 = None
2025-03-21T20:24:13.2190368Z             aten_view_copy_default_425: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_157, [1, 8, 512]);  aten_addmm_default_157 = None
2025-03-21T20:24:13.2190468Z             
2025-03-21T20:24:13.2191263Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.2191785Z             aten_relu_default_40: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_425);  aten_view_copy_default_425 = None
2025-03-21T20:24:13.2191898Z             
2025-03-21T20:24:13.2192650Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.2193271Z             aten_view_copy_default_426: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_40, [8, 512]);  aten_relu_default_40 = None
2025-03-21T20:24:13.2194040Z             aten_permute_copy_default_213: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_10_ffn_0_output_dense_weight, [1, 0]);  p_encoder_layer_10_ffn_0_output_dense_weight = None
2025-03-21T20:24:13.2195118Z             aten_addmm_default_158: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_10_ffn_0_output_dense_bias, aten_view_copy_default_426, aten_permute_copy_default_213);  p_encoder_layer_10_ffn_0_output_dense_bias = aten_view_copy_default_426 = aten_permute_copy_default_213 = None
2025-03-21T20:24:13.2195715Z             aten_view_copy_default_427: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_158, [1, 8, 128]);  aten_addmm_default_158 = None
2025-03-21T20:24:13.2195803Z             
2025-03-21T20:24:13.2196627Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.2197274Z             aten_add_tensor_158: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_427, aten_add_tensor_157);  aten_view_copy_default_427 = aten_add_tensor_157 = None
2025-03-21T20:24:13.2197369Z             
2025-03-21T20:24:13.2198128Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.2198929Z             aten_mul_tensor_85: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_158, p_encoder_layer_10_ffn_0_output_layernorm_weight);  aten_add_tensor_158 = p_encoder_layer_10_ffn_0_output_layernorm_weight = None
2025-03-21T20:24:13.2199708Z             aten_add_tensor_159: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_85, p_encoder_layer_10_ffn_0_output_layernorm_bias);  aten_mul_tensor_85 = p_encoder_layer_10_ffn_0_output_layernorm_bias = None
2025-03-21T20:24:13.2199801Z             
2025-03-21T20:24:13.2200546Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.2200967Z             aten_view_copy_default_428: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_159, [8, 128])
2025-03-21T20:24:13.2201766Z             aten_permute_copy_default_214: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_10_ffn_1_intermediate_dense_weight, [1, 0]);  p_encoder_layer_10_ffn_1_intermediate_dense_weight = None
2025-03-21T20:24:13.2203052Z             aten_addmm_default_159: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_10_ffn_1_intermediate_dense_bias, aten_view_copy_default_428, aten_permute_copy_default_214);  p_encoder_layer_10_ffn_1_intermediate_dense_bias = aten_view_copy_default_428 = aten_permute_copy_default_214 = None
2025-03-21T20:24:13.2203627Z             aten_view_copy_default_429: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_159, [1, 8, 512]);  aten_addmm_default_159 = None
2025-03-21T20:24:13.2203716Z             
2025-03-21T20:24:13.2204572Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.2205084Z             aten_relu_default_41: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_429);  aten_view_copy_default_429 = None
2025-03-21T20:24:13.2205187Z             
2025-03-21T20:24:13.2205911Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.2206493Z             aten_view_copy_default_430: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_41, [8, 512]);  aten_relu_default_41 = None
2025-03-21T20:24:13.2207249Z             aten_permute_copy_default_215: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_10_ffn_1_output_dense_weight, [1, 0]);  p_encoder_layer_10_ffn_1_output_dense_weight = None
2025-03-21T20:24:13.2208347Z             aten_addmm_default_160: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_10_ffn_1_output_dense_bias, aten_view_copy_default_430, aten_permute_copy_default_215);  p_encoder_layer_10_ffn_1_output_dense_bias = aten_view_copy_default_430 = aten_permute_copy_default_215 = None
2025-03-21T20:24:13.2208901Z             aten_view_copy_default_431: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_160, [1, 8, 128]);  aten_addmm_default_160 = None
2025-03-21T20:24:13.2209005Z             
2025-03-21T20:24:13.2209828Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.2210475Z             aten_add_tensor_160: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_431, aten_add_tensor_159);  aten_view_copy_default_431 = aten_add_tensor_159 = None
2025-03-21T20:24:13.2210563Z             
2025-03-21T20:24:13.2211311Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.2212115Z             aten_mul_tensor_86: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_160, p_encoder_layer_10_ffn_1_output_layernorm_weight);  aten_add_tensor_160 = p_encoder_layer_10_ffn_1_output_layernorm_weight = None
2025-03-21T20:24:13.2212885Z             aten_add_tensor_161: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_86, p_encoder_layer_10_ffn_1_output_layernorm_bias);  aten_mul_tensor_86 = p_encoder_layer_10_ffn_1_output_layernorm_bias = None
2025-03-21T20:24:13.2212990Z             
2025-03-21T20:24:13.2213719Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.2214151Z             aten_view_copy_default_432: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_161, [8, 128])
2025-03-21T20:24:13.2214931Z             aten_permute_copy_default_216: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_10_ffn_2_intermediate_dense_weight, [1, 0]);  p_encoder_layer_10_ffn_2_intermediate_dense_weight = None
2025-03-21T20:24:13.2216058Z             aten_addmm_default_161: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_10_ffn_2_intermediate_dense_bias, aten_view_copy_default_432, aten_permute_copy_default_216);  p_encoder_layer_10_ffn_2_intermediate_dense_bias = aten_view_copy_default_432 = aten_permute_copy_default_216 = None
2025-03-21T20:24:13.2216643Z             aten_view_copy_default_433: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_161, [1, 8, 512]);  aten_addmm_default_161 = None
2025-03-21T20:24:13.2216743Z             
2025-03-21T20:24:13.2217529Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.2218051Z             aten_relu_default_42: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_433);  aten_view_copy_default_433 = None
2025-03-21T20:24:13.2218166Z             
2025-03-21T20:24:13.2218929Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.2219465Z             aten_view_copy_default_434: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_42, [8, 512]);  aten_relu_default_42 = None
2025-03-21T20:24:13.2220234Z             aten_permute_copy_default_217: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_10_ffn_2_output_dense_weight, [1, 0]);  p_encoder_layer_10_ffn_2_output_dense_weight = None
2025-03-21T20:24:13.2221296Z             aten_addmm_default_162: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_10_ffn_2_output_dense_bias, aten_view_copy_default_434, aten_permute_copy_default_217);  p_encoder_layer_10_ffn_2_output_dense_bias = aten_view_copy_default_434 = aten_permute_copy_default_217 = None
2025-03-21T20:24:13.2221868Z             aten_view_copy_default_435: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_162, [1, 8, 128]);  aten_addmm_default_162 = None
2025-03-21T20:24:13.2221957Z             
2025-03-21T20:24:13.2222777Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.2223412Z             aten_add_tensor_162: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_435, aten_add_tensor_161);  aten_view_copy_default_435 = aten_add_tensor_161 = None
2025-03-21T20:24:13.2223506Z             
2025-03-21T20:24:13.2224249Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.2225057Z             aten_mul_tensor_87: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_162, p_encoder_layer_10_ffn_2_output_layernorm_weight);  aten_add_tensor_162 = p_encoder_layer_10_ffn_2_output_layernorm_weight = None
2025-03-21T20:24:13.2225840Z             aten_add_tensor_163: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_87, p_encoder_layer_10_ffn_2_output_layernorm_bias);  aten_mul_tensor_87 = p_encoder_layer_10_ffn_2_output_layernorm_bias = None
2025-03-21T20:24:13.2225934Z             
2025-03-21T20:24:13.2226681Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.2227106Z             aten_view_copy_default_436: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_163, [8, 128])
2025-03-21T20:24:13.2227861Z             aten_permute_copy_default_218: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_10_intermediate_dense_weight, [1, 0]);  p_encoder_layer_10_intermediate_dense_weight = None
2025-03-21T20:24:13.2228990Z             aten_addmm_default_163: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_10_intermediate_dense_bias, aten_view_copy_default_436, aten_permute_copy_default_218);  p_encoder_layer_10_intermediate_dense_bias = aten_view_copy_default_436 = aten_permute_copy_default_218 = None
2025-03-21T20:24:13.2229555Z             aten_view_copy_default_437: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_163, [1, 8, 512]);  aten_addmm_default_163 = None
2025-03-21T20:24:13.2229645Z             
2025-03-21T20:24:13.2230472Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.2231015Z             aten_relu_default_43: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_437);  aten_view_copy_default_437 = None
2025-03-21T20:24:13.2231115Z             
2025-03-21T20:24:13.2232303Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:415 in forward, code: layer_output = self.dense(intermediate_states)
2025-03-21T20:24:13.2232872Z             aten_view_copy_default_438: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_43, [8, 512]);  aten_relu_default_43 = None
2025-03-21T20:24:13.2233660Z             aten_permute_copy_default_219: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_10_output_dense_weight, [1, 0]);  p_encoder_layer_10_output_dense_weight = None
2025-03-21T20:24:13.2234694Z             aten_addmm_default_164: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_10_output_dense_bias, aten_view_copy_default_438, aten_permute_copy_default_219);  p_encoder_layer_10_output_dense_bias = aten_view_copy_default_438 = aten_permute_copy_default_219 = None
2025-03-21T20:24:13.2235254Z             aten_view_copy_default_439: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_164, [1, 8, 128]);  aten_addmm_default_164 = None
2025-03-21T20:24:13.2235355Z             
2025-03-21T20:24:13.2236179Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:420 in forward, code: layer_output = self.LayerNorm(layer_output + residual_tensor_1)
2025-03-21T20:24:13.2236824Z             aten_add_tensor_164: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_439, aten_add_tensor_163);  aten_view_copy_default_439 = aten_add_tensor_163 = None
2025-03-21T20:24:13.2236919Z             
2025-03-21T20:24:13.2237673Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.2238446Z             aten_mul_tensor_88: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_164, p_encoder_layer_10_output_layernorm_weight);  aten_add_tensor_164 = p_encoder_layer_10_output_layernorm_weight = None
2025-03-21T20:24:13.2239192Z             aten_add_tensor_165: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_88, p_encoder_layer_10_output_layernorm_bias);  aten_mul_tensor_88 = p_encoder_layer_10_output_layernorm_bias = None
2025-03-21T20:24:13.2239283Z             
2025-03-21T20:24:13.2240020Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:395 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.2240557Z             aten_view_copy_default_440: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_165, [8, 128]);  aten_add_tensor_165 = None
2025-03-21T20:24:13.2241374Z             aten_permute_copy_default_220: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_10_output_bottleneck_dense_weight, [1, 0]);  p_encoder_layer_10_output_bottleneck_dense_weight = None
2025-03-21T20:24:13.2242502Z             aten_addmm_default_165: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_10_output_bottleneck_dense_bias, aten_view_copy_default_440, aten_permute_copy_default_220);  p_encoder_layer_10_output_bottleneck_dense_bias = aten_view_copy_default_440 = aten_permute_copy_default_220 = None
2025-03-21T20:24:13.2243094Z             aten_view_copy_default_441: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_165, [1, 8, 512]);  aten_addmm_default_165 = None
2025-03-21T20:24:13.2243192Z             
2025-03-21T20:24:13.2243962Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:396 in forward, code: layer_outputs = self.dropout(layer_outputs)
2025-03-21T20:24:13.2244519Z             aten_clone_default_33: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_441);  aten_view_copy_default_441 = None
2025-03-21T20:24:13.2244609Z             
2025-03-21T20:24:13.2245458Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:397 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.2246065Z             aten_add_tensor_166: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_33, aten_add_tensor_152);  aten_clone_default_33 = aten_add_tensor_152 = None
2025-03-21T20:24:13.2246162Z             
2025-03-21T20:24:13.2246909Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.2247770Z             aten_mul_tensor_89: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_166, p_encoder_layer_10_output_bottleneck_layernorm_weight);  aten_add_tensor_166 = p_encoder_layer_10_output_bottleneck_layernorm_weight = None
2025-03-21T20:24:13.2248600Z             aten_add_tensor_167: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_89, p_encoder_layer_10_output_bottleneck_layernorm_bias);  aten_mul_tensor_89 = p_encoder_layer_10_output_bottleneck_layernorm_bias = None
2025-03-21T20:24:13.2248697Z             
2025-03-21T20:24:13.2249424Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:432 in forward, code: layer_input = self.dense(hidden_states)
2025-03-21T20:24:13.2249856Z             aten_view_copy_default_442: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_167, [8, 512])
2025-03-21T20:24:13.2250633Z             aten_permute_copy_default_221: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_11_bottleneck_input_dense_weight, [1, 0]);  p_encoder_layer_11_bottleneck_input_dense_weight = None
2025-03-21T20:24:13.2251761Z             aten_addmm_default_166: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_11_bottleneck_input_dense_bias, aten_view_copy_default_442, aten_permute_copy_default_221);  p_encoder_layer_11_bottleneck_input_dense_bias = aten_view_copy_default_442 = aten_permute_copy_default_221 = None
2025-03-21T20:24:13.2252322Z             aten_view_copy_default_443: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_166, [1, 8, 128]);  aten_addmm_default_166 = None
2025-03-21T20:24:13.2252419Z             
2025-03-21T20:24:13.2253171Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.2254118Z             aten_mul_tensor_90: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_443, p_encoder_layer_11_bottleneck_input_layernorm_weight);  aten_view_copy_default_443 = p_encoder_layer_11_bottleneck_input_layernorm_weight = None
2025-03-21T20:24:13.2254949Z             aten_add_tensor_168: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_90, p_encoder_layer_11_bottleneck_input_layernorm_bias);  aten_mul_tensor_90 = p_encoder_layer_11_bottleneck_input_layernorm_bias = None
2025-03-21T20:24:13.2255071Z             
2025-03-21T20:24:13.2255822Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:432 in forward, code: layer_input = self.dense(hidden_states)
2025-03-21T20:24:13.2256247Z             aten_view_copy_default_444: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_167, [8, 512])
2025-03-21T20:24:13.2257115Z             aten_permute_copy_default_222: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_11_bottleneck_attention_dense_weight, [1, 0]);  p_encoder_layer_11_bottleneck_attention_dense_weight = None
2025-03-21T20:24:13.2258412Z             aten_addmm_default_167: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_11_bottleneck_attention_dense_bias, aten_view_copy_default_444, aten_permute_copy_default_222);  p_encoder_layer_11_bottleneck_attention_dense_bias = aten_view_copy_default_444 = aten_permute_copy_default_222 = None
2025-03-21T20:24:13.2258992Z             aten_view_copy_default_445: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_167, [1, 8, 128]);  aten_addmm_default_167 = None
2025-03-21T20:24:13.2259080Z             
2025-03-21T20:24:13.2259868Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.2260801Z             aten_mul_tensor_91: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_445, p_encoder_layer_11_bottleneck_attention_layernorm_weight);  aten_view_copy_default_445 = p_encoder_layer_11_bottleneck_attention_layernorm_weight = None
2025-03-21T20:24:13.2261665Z             aten_add_tensor_169: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_91, p_encoder_layer_11_bottleneck_attention_layernorm_bias);  aten_mul_tensor_91 = p_encoder_layer_11_bottleneck_attention_layernorm_bias = None
2025-03-21T20:24:13.2261756Z             
2025-03-21T20:24:13.2262511Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:275 in forward, code: mixed_query_layer = self.query(query_tensor)
2025-03-21T20:24:13.2262932Z             aten_view_copy_default_446: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_169, [8, 128])
2025-03-21T20:24:13.2263695Z             aten_permute_copy_default_223: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_11_attention_self_query_weight, [1, 0]);  p_encoder_layer_11_attention_self_query_weight = None
2025-03-21T20:24:13.2264789Z             aten_addmm_default_168: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_11_attention_self_query_bias, aten_view_copy_default_446, aten_permute_copy_default_223);  p_encoder_layer_11_attention_self_query_bias = aten_view_copy_default_446 = aten_permute_copy_default_223 = None
2025-03-21T20:24:13.2265362Z             aten_view_copy_default_447: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_168, [1, 8, 128]);  aten_addmm_default_168 = None
2025-03-21T20:24:13.2265486Z             
2025-03-21T20:24:13.2266214Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:276 in forward, code: mixed_key_layer = self.key(key_tensor)
2025-03-21T20:24:13.2266740Z             aten_view_copy_default_448: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_169, [8, 128]);  aten_add_tensor_169 = None
2025-03-21T20:24:13.2267485Z             aten_permute_copy_default_224: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_11_attention_self_key_weight, [1, 0]);  p_encoder_layer_11_attention_self_key_weight = None
2025-03-21T20:24:13.2268608Z             aten_addmm_default_169: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_11_attention_self_key_bias, aten_view_copy_default_448, aten_permute_copy_default_224);  p_encoder_layer_11_attention_self_key_bias = aten_view_copy_default_448 = aten_permute_copy_default_224 = None
2025-03-21T20:24:13.2269218Z             aten_view_copy_default_449: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_169, [1, 8, 128]);  aten_addmm_default_169 = None
2025-03-21T20:24:13.2269314Z             
2025-03-21T20:24:13.2270074Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:277 in forward, code: mixed_value_layer = self.value(value_tensor)
2025-03-21T20:24:13.2270495Z             aten_view_copy_default_450: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_167, [8, 512])
2025-03-21T20:24:13.2271253Z             aten_permute_copy_default_225: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_11_attention_self_value_weight, [1, 0]);  p_encoder_layer_11_attention_self_value_weight = None
2025-03-21T20:24:13.2272347Z             aten_addmm_default_170: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_11_attention_self_value_bias, aten_view_copy_default_450, aten_permute_copy_default_225);  p_encoder_layer_11_attention_self_value_bias = aten_view_copy_default_450 = aten_permute_copy_default_225 = None
2025-03-21T20:24:13.2272910Z             aten_view_copy_default_451: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_170, [1, 8, 128]);  aten_addmm_default_170 = None
2025-03-21T20:24:13.2273083Z             
2025-03-21T20:24:13.2273810Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.2274399Z             aten_view_copy_default_452: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_447, [1, 8, 4, 32]);  aten_view_copy_default_447 = None
2025-03-21T20:24:13.2274492Z             
2025-03-21T20:24:13.2275238Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.2275853Z             aten_permute_copy_default_226: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_452, [0, 2, 1, 3]);  aten_view_copy_default_452 = None
2025-03-21T20:24:13.2275955Z             
2025-03-21T20:24:13.2276664Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.2277267Z             aten_view_copy_default_453: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_449, [1, 8, 4, 32]);  aten_view_copy_default_449 = None
2025-03-21T20:24:13.2277387Z             
2025-03-21T20:24:13.2278128Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.2278739Z             aten_permute_copy_default_227: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_453, [0, 2, 1, 3]);  aten_view_copy_default_453 = None
2025-03-21T20:24:13.2278840Z             
2025-03-21T20:24:13.2279548Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.2280186Z             aten_view_copy_default_454: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_451, [1, 8, 4, 32]);  aten_view_copy_default_451 = None
2025-03-21T20:24:13.2280278Z             
2025-03-21T20:24:13.2281006Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.2281656Z             aten_permute_copy_default_228: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_454, [0, 2, 1, 3]);  aten_view_copy_default_454 = None
2025-03-21T20:24:13.2281744Z             
2025-03-21T20:24:13.2282620Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:284 in forward, code: attention_scores = torch.matmul(query_layer, key_layer.transpose(-1, -2))
2025-03-21T20:24:13.2283259Z             aten_permute_copy_default_229: "f32[1, 4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_permute_copy_default_227, [0, 1, 3, 2]);  aten_permute_copy_default_227 = None
2025-03-21T20:24:13.2283895Z             aten_expand_copy_default_44: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_226, [1, 4, 8, 32]);  aten_permute_copy_default_226 = None
2025-03-21T20:24:13.2284483Z             aten_view_copy_default_455: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_44, [4, 8, 32]);  aten_expand_copy_default_44 = None
2025-03-21T20:24:13.2285113Z             aten_expand_copy_default_45: "f32[1, 4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_229, [1, 4, 32, 8]);  aten_permute_copy_default_229 = None
2025-03-21T20:24:13.2285696Z             aten_view_copy_default_456: "f32[4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_45, [4, 32, 8]);  aten_expand_copy_default_45 = None
2025-03-21T20:24:13.2286406Z             aten_bmm_default_22: "f32[4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_455, aten_view_copy_default_456);  aten_view_copy_default_455 = aten_view_copy_default_456 = None
2025-03-21T20:24:13.2286944Z             aten_view_copy_default_457: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_22, [1, 4, 8, 8]);  aten_bmm_default_22 = None
2025-03-21T20:24:13.2287047Z             
2025-03-21T20:24:13.2287907Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:285 in forward, code: attention_scores = attention_scores / math.sqrt(self.attention_head_size)
2025-03-21T20:24:13.2288607Z             aten_div_tensor_11: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_div_Tensor(aten_view_copy_default_457, _lifted_tensor_constant14);  aten_view_copy_default_457 = _lifted_tensor_constant14 = None
2025-03-21T20:24:13.2288695Z             
2025-03-21T20:24:13.2289490Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:288 in forward, code: attention_scores = attention_scores + attention_mask
2025-03-21T20:24:13.2290020Z             aten_add_tensor_170: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_div_tensor_11, aten_mul_tensor);  aten_div_tensor_11 = None
2025-03-21T20:24:13.2290121Z             
2025-03-21T20:24:13.2290959Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:290 in forward, code: attention_probs = nn.functional.softmax(attention_scores, dim=-1)
2025-03-21T20:24:13.2291526Z             aten__softmax_default_11: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten__softmax_default(aten_add_tensor_170, -1, False);  aten_add_tensor_170 = None
2025-03-21T20:24:13.2291618Z             
2025-03-21T20:24:13.2292397Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:293 in forward, code: attention_probs = self.dropout(attention_probs)
2025-03-21T20:24:13.2292919Z             aten_clone_default_34: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten__softmax_default_11);  aten__softmax_default_11 = None
2025-03-21T20:24:13.2293032Z             
2025-03-21T20:24:13.2293840Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:297 in forward, code: context_layer = torch.matmul(attention_probs, value_layer)
2025-03-21T20:24:13.2294406Z             aten_expand_copy_default_46: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_clone_default_34, [1, 4, 8, 8]);  aten_clone_default_34 = None
2025-03-21T20:24:13.2295007Z             aten_view_copy_default_458: "f32[4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_46, [4, 8, 8]);  aten_expand_copy_default_46 = None
2025-03-21T20:24:13.2295623Z             aten_expand_copy_default_47: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_228, [1, 4, 8, 32]);  aten_permute_copy_default_228 = None
2025-03-21T20:24:13.2296220Z             aten_view_copy_default_459: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_47, [4, 8, 32]);  aten_expand_copy_default_47 = None
2025-03-21T20:24:13.2296914Z             aten_bmm_default_23: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_458, aten_view_copy_default_459);  aten_view_copy_default_458 = aten_view_copy_default_459 = None
2025-03-21T20:24:13.2297464Z             aten_view_copy_default_460: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_23, [1, 4, 8, 32]);  aten_bmm_default_23 = None
2025-03-21T20:24:13.2297553Z             
2025-03-21T20:24:13.2298378Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:298 in forward, code: context_layer = context_layer.permute(0, 2, 1, 3).contiguous()
2025-03-21T20:24:13.2298991Z             aten_permute_copy_default_230: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_460, [0, 2, 1, 3]);  aten_view_copy_default_460 = None
2025-03-21T20:24:13.2299716Z             aten_clone_default_35: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_permute_copy_default_230, memory_format = torch.contiguous_format);  aten_permute_copy_default_230 = None
2025-03-21T20:24:13.2299806Z             
2025-03-21T20:24:13.2300621Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:300 in forward, code: context_layer = context_layer.view(new_context_layer_shape)
2025-03-21T20:24:13.2301180Z             aten_view_copy_default_461: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_35, [1, 8, 128]);  aten_clone_default_35 = None
2025-03-21T20:24:13.2301297Z             
2025-03-21T20:24:13.2302258Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:315 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.2302837Z             aten_view_copy_default_462: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_461, [8, 128]);  aten_view_copy_default_461 = None
2025-03-21T20:24:13.2303618Z             aten_permute_copy_default_231: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_11_attention_output_dense_weight, [1, 0]);  p_encoder_layer_11_attention_output_dense_weight = None
2025-03-21T20:24:13.2304836Z             aten_addmm_default_171: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_11_attention_output_dense_bias, aten_view_copy_default_462, aten_permute_copy_default_231);  p_encoder_layer_11_attention_output_dense_bias = aten_view_copy_default_462 = aten_permute_copy_default_231 = None
2025-03-21T20:24:13.2305445Z             aten_view_copy_default_463: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_171, [1, 8, 128]);  aten_addmm_default_171 = None
2025-03-21T20:24:13.2305536Z             
2025-03-21T20:24:13.2306373Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:318 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.2307011Z             aten_add_tensor_171: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_463, aten_add_tensor_168);  aten_view_copy_default_463 = aten_add_tensor_168 = None
2025-03-21T20:24:13.2307113Z             
2025-03-21T20:24:13.2307862Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.2308726Z             aten_mul_tensor_92: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_171, p_encoder_layer_11_attention_output_layernorm_weight);  aten_add_tensor_171 = p_encoder_layer_11_attention_output_layernorm_weight = None
2025-03-21T20:24:13.2309545Z             aten_add_tensor_172: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_92, p_encoder_layer_11_attention_output_layernorm_bias);  aten_mul_tensor_92 = p_encoder_layer_11_attention_output_layernorm_bias = None
2025-03-21T20:24:13.2309647Z             
2025-03-21T20:24:13.2310379Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.2310812Z             aten_view_copy_default_464: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_172, [8, 128])
2025-03-21T20:24:13.2311599Z             aten_permute_copy_default_232: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_11_ffn_0_intermediate_dense_weight, [1, 0]);  p_encoder_layer_11_ffn_0_intermediate_dense_weight = None
2025-03-21T20:24:13.2312726Z             aten_addmm_default_172: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_11_ffn_0_intermediate_dense_bias, aten_view_copy_default_464, aten_permute_copy_default_232);  p_encoder_layer_11_ffn_0_intermediate_dense_bias = aten_view_copy_default_464 = aten_permute_copy_default_232 = None
2025-03-21T20:24:13.2313389Z             aten_view_copy_default_465: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_172, [1, 8, 512]);  aten_addmm_default_172 = None
2025-03-21T20:24:13.2313488Z             
2025-03-21T20:24:13.2314321Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.2314842Z             aten_relu_default_44: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_465);  aten_view_copy_default_465 = None
2025-03-21T20:24:13.2314929Z             
2025-03-21T20:24:13.2315676Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.2316234Z             aten_view_copy_default_466: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_44, [8, 512]);  aten_relu_default_44 = None
2025-03-21T20:24:13.2317011Z             aten_permute_copy_default_233: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_11_ffn_0_output_dense_weight, [1, 0]);  p_encoder_layer_11_ffn_0_output_dense_weight = None
2025-03-21T20:24:13.2318092Z             aten_addmm_default_173: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_11_ffn_0_output_dense_bias, aten_view_copy_default_466, aten_permute_copy_default_233);  p_encoder_layer_11_ffn_0_output_dense_bias = aten_view_copy_default_466 = aten_permute_copy_default_233 = None
2025-03-21T20:24:13.2318656Z             aten_view_copy_default_467: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_173, [1, 8, 128]);  aten_addmm_default_173 = None
2025-03-21T20:24:13.2318757Z             
2025-03-21T20:24:13.2319583Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.2320234Z             aten_add_tensor_173: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_467, aten_add_tensor_172);  aten_view_copy_default_467 = aten_add_tensor_172 = None
2025-03-21T20:24:13.2320330Z             
2025-03-21T20:24:13.2321095Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.2321897Z             aten_mul_tensor_93: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_173, p_encoder_layer_11_ffn_0_output_layernorm_weight);  aten_add_tensor_173 = p_encoder_layer_11_ffn_0_output_layernorm_weight = None
2025-03-21T20:24:13.2322692Z             aten_add_tensor_174: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_93, p_encoder_layer_11_ffn_0_output_layernorm_bias);  aten_mul_tensor_93 = p_encoder_layer_11_ffn_0_output_layernorm_bias = None
2025-03-21T20:24:13.2322787Z             
2025-03-21T20:24:13.2323532Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.2323959Z             aten_view_copy_default_468: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_174, [8, 128])
2025-03-21T20:24:13.2324755Z             aten_permute_copy_default_234: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_11_ffn_1_intermediate_dense_weight, [1, 0]);  p_encoder_layer_11_ffn_1_intermediate_dense_weight = None
2025-03-21T20:24:13.2325879Z             aten_addmm_default_174: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_11_ffn_1_intermediate_dense_bias, aten_view_copy_default_468, aten_permute_copy_default_234);  p_encoder_layer_11_ffn_1_intermediate_dense_bias = aten_view_copy_default_468 = aten_permute_copy_default_234 = None
2025-03-21T20:24:13.2326477Z             aten_view_copy_default_469: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_174, [1, 8, 512]);  aten_addmm_default_174 = None
2025-03-21T20:24:13.2326573Z             
2025-03-21T20:24:13.2327377Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.2327895Z             aten_relu_default_45: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_469);  aten_view_copy_default_469 = None
2025-03-21T20:24:13.2328020Z             
2025-03-21T20:24:13.2328780Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.2329329Z             aten_view_copy_default_470: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_45, [8, 512]);  aten_relu_default_45 = None
2025-03-21T20:24:13.2330088Z             aten_permute_copy_default_235: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_11_ffn_1_output_dense_weight, [1, 0]);  p_encoder_layer_11_ffn_1_output_dense_weight = None
2025-03-21T20:24:13.2331177Z             aten_addmm_default_175: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_11_ffn_1_output_dense_bias, aten_view_copy_default_470, aten_permute_copy_default_235);  p_encoder_layer_11_ffn_1_output_dense_bias = aten_view_copy_default_470 = aten_permute_copy_default_235 = None
2025-03-21T20:24:13.2331746Z             aten_view_copy_default_471: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_175, [1, 8, 128]);  aten_addmm_default_175 = None
2025-03-21T20:24:13.2331852Z             
2025-03-21T20:24:13.2332690Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.2333347Z             aten_add_tensor_175: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_471, aten_add_tensor_174);  aten_view_copy_default_471 = aten_add_tensor_174 = None
2025-03-21T20:24:13.2333442Z             
2025-03-21T20:24:13.2334189Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.2335005Z             aten_mul_tensor_94: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_175, p_encoder_layer_11_ffn_1_output_layernorm_weight);  aten_add_tensor_175 = p_encoder_layer_11_ffn_1_output_layernorm_weight = None
2025-03-21T20:24:13.2335788Z             aten_add_tensor_176: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_94, p_encoder_layer_11_ffn_1_output_layernorm_bias);  aten_mul_tensor_94 = p_encoder_layer_11_ffn_1_output_layernorm_bias = None
2025-03-21T20:24:13.2335894Z             
2025-03-21T20:24:13.2336628Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.2337068Z             aten_view_copy_default_472: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_176, [8, 128])
2025-03-21T20:24:13.2337863Z             aten_permute_copy_default_236: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_11_ffn_2_intermediate_dense_weight, [1, 0]);  p_encoder_layer_11_ffn_2_intermediate_dense_weight = None
2025-03-21T20:24:13.2339030Z             aten_addmm_default_176: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_11_ffn_2_intermediate_dense_bias, aten_view_copy_default_472, aten_permute_copy_default_236);  p_encoder_layer_11_ffn_2_intermediate_dense_bias = aten_view_copy_default_472 = aten_permute_copy_default_236 = None
2025-03-21T20:24:13.2339596Z             aten_view_copy_default_473: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_176, [1, 8, 512]);  aten_addmm_default_176 = None
2025-03-21T20:24:13.2339702Z             
2025-03-21T20:24:13.2340521Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.2341101Z             aten_relu_default_46: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_473);  aten_view_copy_default_473 = None
2025-03-21T20:24:13.2341196Z             
2025-03-21T20:24:13.2341961Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.2342498Z             aten_view_copy_default_474: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_46, [8, 512]);  aten_relu_default_46 = None
2025-03-21T20:24:13.2343240Z             aten_permute_copy_default_237: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_11_ffn_2_output_dense_weight, [1, 0]);  p_encoder_layer_11_ffn_2_output_dense_weight = None
2025-03-21T20:24:13.2344305Z             aten_addmm_default_177: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_11_ffn_2_output_dense_bias, aten_view_copy_default_474, aten_permute_copy_default_237);  p_encoder_layer_11_ffn_2_output_dense_bias = aten_view_copy_default_474 = aten_permute_copy_default_237 = None
2025-03-21T20:24:13.2344879Z             aten_view_copy_default_475: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_177, [1, 8, 128]);  aten_addmm_default_177 = None
2025-03-21T20:24:13.2344971Z             
2025-03-21T20:24:13.2345801Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.2346441Z             aten_add_tensor_177: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_475, aten_add_tensor_176);  aten_view_copy_default_475 = aten_add_tensor_176 = None
2025-03-21T20:24:13.2346541Z             
2025-03-21T20:24:13.2347288Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.2348099Z             aten_mul_tensor_95: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_177, p_encoder_layer_11_ffn_2_output_layernorm_weight);  aten_add_tensor_177 = p_encoder_layer_11_ffn_2_output_layernorm_weight = None
2025-03-21T20:24:13.2348888Z             aten_add_tensor_178: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_95, p_encoder_layer_11_ffn_2_output_layernorm_bias);  aten_mul_tensor_95 = p_encoder_layer_11_ffn_2_output_layernorm_bias = None
2025-03-21T20:24:13.2348983Z             
2025-03-21T20:24:13.2349724Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.2350155Z             aten_view_copy_default_476: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_178, [8, 128])
2025-03-21T20:24:13.2350946Z             aten_permute_copy_default_238: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_11_intermediate_dense_weight, [1, 0]);  p_encoder_layer_11_intermediate_dense_weight = None
2025-03-21T20:24:13.2352054Z             aten_addmm_default_178: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_11_intermediate_dense_bias, aten_view_copy_default_476, aten_permute_copy_default_238);  p_encoder_layer_11_intermediate_dense_bias = aten_view_copy_default_476 = aten_permute_copy_default_238 = None
2025-03-21T20:24:13.2352661Z             aten_view_copy_default_477: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_178, [1, 8, 512]);  aten_addmm_default_178 = None
2025-03-21T20:24:13.2352757Z             
2025-03-21T20:24:13.2353690Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.2354240Z             aten_relu_default_47: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_477);  aten_view_copy_default_477 = None
2025-03-21T20:24:13.2354344Z             
2025-03-21T20:24:13.2355098Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:415 in forward, code: layer_output = self.dense(intermediate_states)
2025-03-21T20:24:13.2355648Z             aten_view_copy_default_478: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_47, [8, 512]);  aten_relu_default_47 = None
2025-03-21T20:24:13.2356358Z             aten_permute_copy_default_239: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_11_output_dense_weight, [1, 0]);  p_encoder_layer_11_output_dense_weight = None
2025-03-21T20:24:13.2357398Z             aten_addmm_default_179: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_11_output_dense_bias, aten_view_copy_default_478, aten_permute_copy_default_239);  p_encoder_layer_11_output_dense_bias = aten_view_copy_default_478 = aten_permute_copy_default_239 = None
2025-03-21T20:24:13.2357961Z             aten_view_copy_default_479: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_179, [1, 8, 128]);  aten_addmm_default_179 = None
2025-03-21T20:24:13.2358063Z             
2025-03-21T20:24:13.2358884Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:420 in forward, code: layer_output = self.LayerNorm(layer_output + residual_tensor_1)
2025-03-21T20:24:13.2359538Z             aten_add_tensor_179: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_479, aten_add_tensor_178);  aten_view_copy_default_479 = aten_add_tensor_178 = None
2025-03-21T20:24:13.2359632Z             
2025-03-21T20:24:13.2360400Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.2361169Z             aten_mul_tensor_96: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_179, p_encoder_layer_11_output_layernorm_weight);  aten_add_tensor_179 = p_encoder_layer_11_output_layernorm_weight = None
2025-03-21T20:24:13.2361923Z             aten_add_tensor_180: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_96, p_encoder_layer_11_output_layernorm_bias);  aten_mul_tensor_96 = p_encoder_layer_11_output_layernorm_bias = None
2025-03-21T20:24:13.2362019Z             
2025-03-21T20:24:13.2362753Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:395 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.2363318Z             aten_view_copy_default_480: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_180, [8, 128]);  aten_add_tensor_180 = None
2025-03-21T20:24:13.2364101Z             aten_permute_copy_default_240: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_11_output_bottleneck_dense_weight, [1, 0]);  p_encoder_layer_11_output_bottleneck_dense_weight = None
2025-03-21T20:24:13.2365236Z             aten_addmm_default_180: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_11_output_bottleneck_dense_bias, aten_view_copy_default_480, aten_permute_copy_default_240);  p_encoder_layer_11_output_bottleneck_dense_bias = aten_view_copy_default_480 = aten_permute_copy_default_240 = None
2025-03-21T20:24:13.2365876Z             aten_view_copy_default_481: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_180, [1, 8, 512]);  aten_addmm_default_180 = None
2025-03-21T20:24:13.2365980Z             
2025-03-21T20:24:13.2366745Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:396 in forward, code: layer_outputs = self.dropout(layer_outputs)
2025-03-21T20:24:13.2367279Z             aten_clone_default_36: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_481);  aten_view_copy_default_481 = None
2025-03-21T20:24:13.2367372Z             
2025-03-21T20:24:13.2368208Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:397 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.2368826Z             aten_add_tensor_181: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_36, aten_add_tensor_167);  aten_clone_default_36 = aten_add_tensor_167 = None
2025-03-21T20:24:13.2368938Z             
2025-03-21T20:24:13.2369692Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.2370567Z             aten_mul_tensor_97: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_181, p_encoder_layer_11_output_bottleneck_layernorm_weight);  aten_add_tensor_181 = p_encoder_layer_11_output_bottleneck_layernorm_weight = None
2025-03-21T20:24:13.2371404Z             aten_add_tensor_182: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_97, p_encoder_layer_11_output_bottleneck_layernorm_bias);  aten_mul_tensor_97 = p_encoder_layer_11_output_bottleneck_layernorm_bias = None
2025-03-21T20:24:13.2371516Z             
2025-03-21T20:24:13.2372241Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:432 in forward, code: layer_input = self.dense(hidden_states)
2025-03-21T20:24:13.2372685Z             aten_view_copy_default_482: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_182, [8, 512])
2025-03-21T20:24:13.2373459Z             aten_permute_copy_default_241: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_12_bottleneck_input_dense_weight, [1, 0]);  p_encoder_layer_12_bottleneck_input_dense_weight = None
2025-03-21T20:24:13.2374591Z             aten_addmm_default_181: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_12_bottleneck_input_dense_bias, aten_view_copy_default_482, aten_permute_copy_default_241);  p_encoder_layer_12_bottleneck_input_dense_bias = aten_view_copy_default_482 = aten_permute_copy_default_241 = None
2025-03-21T20:24:13.2375154Z             aten_view_copy_default_483: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_181, [1, 8, 128]);  aten_addmm_default_181 = None
2025-03-21T20:24:13.2375283Z             
2025-03-21T20:24:13.2376033Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.2376937Z             aten_mul_tensor_98: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_483, p_encoder_layer_12_bottleneck_input_layernorm_weight);  aten_view_copy_default_483 = p_encoder_layer_12_bottleneck_input_layernorm_weight = None
2025-03-21T20:24:13.2377816Z             aten_add_tensor_183: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_98, p_encoder_layer_12_bottleneck_input_layernorm_bias);  aten_mul_tensor_98 = p_encoder_layer_12_bottleneck_input_layernorm_bias = None
2025-03-21T20:24:13.2377909Z             
2025-03-21T20:24:13.2378646Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:432 in forward, code: layer_input = self.dense(hidden_states)
2025-03-21T20:24:13.2379093Z             aten_view_copy_default_484: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_182, [8, 512])
2025-03-21T20:24:13.2379908Z             aten_permute_copy_default_242: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_12_bottleneck_attention_dense_weight, [1, 0]);  p_encoder_layer_12_bottleneck_attention_dense_weight = None
2025-03-21T20:24:13.2381063Z             aten_addmm_default_182: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_12_bottleneck_attention_dense_bias, aten_view_copy_default_484, aten_permute_copy_default_242);  p_encoder_layer_12_bottleneck_attention_dense_bias = aten_view_copy_default_484 = aten_permute_copy_default_242 = None
2025-03-21T20:24:13.2381638Z             aten_view_copy_default_485: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_182, [1, 8, 128]);  aten_addmm_default_182 = None
2025-03-21T20:24:13.2381733Z             
2025-03-21T20:24:13.2382493Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.2383431Z             aten_mul_tensor_99: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_485, p_encoder_layer_12_bottleneck_attention_layernorm_weight);  aten_view_copy_default_485 = p_encoder_layer_12_bottleneck_attention_layernorm_weight = None
2025-03-21T20:24:13.2384299Z             aten_add_tensor_184: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_99, p_encoder_layer_12_bottleneck_attention_layernorm_bias);  aten_mul_tensor_99 = p_encoder_layer_12_bottleneck_attention_layernorm_bias = None
2025-03-21T20:24:13.2384394Z             
2025-03-21T20:24:13.2385150Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:275 in forward, code: mixed_query_layer = self.query(query_tensor)
2025-03-21T20:24:13.2385573Z             aten_view_copy_default_486: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_184, [8, 128])
2025-03-21T20:24:13.2386332Z             aten_permute_copy_default_243: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_12_attention_self_query_weight, [1, 0]);  p_encoder_layer_12_attention_self_query_weight = None
2025-03-21T20:24:13.2387427Z             aten_addmm_default_183: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_12_attention_self_query_bias, aten_view_copy_default_486, aten_permute_copy_default_243);  p_encoder_layer_12_attention_self_query_bias = aten_view_copy_default_486 = aten_permute_copy_default_243 = None
2025-03-21T20:24:13.2388024Z             aten_view_copy_default_487: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_183, [1, 8, 128]);  aten_addmm_default_183 = None
2025-03-21T20:24:13.2388117Z             
2025-03-21T20:24:13.2388850Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:276 in forward, code: mixed_key_layer = self.key(key_tensor)
2025-03-21T20:24:13.2389402Z             aten_view_copy_default_488: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_184, [8, 128]);  aten_add_tensor_184 = None
2025-03-21T20:24:13.2390169Z             aten_permute_copy_default_244: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_12_attention_self_key_weight, [1, 0]);  p_encoder_layer_12_attention_self_key_weight = None
2025-03-21T20:24:13.2391262Z             aten_addmm_default_184: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_12_attention_self_key_bias, aten_view_copy_default_488, aten_permute_copy_default_244);  p_encoder_layer_12_attention_self_key_bias = aten_view_copy_default_488 = aten_permute_copy_default_244 = None
2025-03-21T20:24:13.2391832Z             aten_view_copy_default_489: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_184, [1, 8, 128]);  aten_addmm_default_184 = None
2025-03-21T20:24:13.2391928Z             
2025-03-21T20:24:13.2392682Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:277 in forward, code: mixed_value_layer = self.value(value_tensor)
2025-03-21T20:24:13.2393197Z             aten_view_copy_default_490: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_182, [8, 512])
2025-03-21T20:24:13.2393966Z             aten_permute_copy_default_245: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_12_attention_self_value_weight, [1, 0]);  p_encoder_layer_12_attention_self_value_weight = None
2025-03-21T20:24:13.2395063Z             aten_addmm_default_185: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_12_attention_self_value_bias, aten_view_copy_default_490, aten_permute_copy_default_245);  p_encoder_layer_12_attention_self_value_bias = aten_view_copy_default_490 = aten_permute_copy_default_245 = None
2025-03-21T20:24:13.2395636Z             aten_view_copy_default_491: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_185, [1, 8, 128]);  aten_addmm_default_185 = None
2025-03-21T20:24:13.2395730Z             
2025-03-21T20:24:13.2396458Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.2397054Z             aten_view_copy_default_492: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_487, [1, 8, 4, 32]);  aten_view_copy_default_487 = None
2025-03-21T20:24:13.2397156Z             
2025-03-21T20:24:13.2397891Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.2398504Z             aten_permute_copy_default_246: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_492, [0, 2, 1, 3]);  aten_view_copy_default_492 = None
2025-03-21T20:24:13.2398608Z             
2025-03-21T20:24:13.2399318Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.2399945Z             aten_view_copy_default_493: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_489, [1, 8, 4, 32]);  aten_view_copy_default_489 = None
2025-03-21T20:24:13.2400036Z             
2025-03-21T20:24:13.2400784Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.2401398Z             aten_permute_copy_default_247: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_493, [0, 2, 1, 3]);  aten_view_copy_default_493 = None
2025-03-21T20:24:13.2401525Z             
2025-03-21T20:24:13.2402532Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.2403140Z             aten_view_copy_default_494: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_491, [1, 8, 4, 32]);  aten_view_copy_default_491 = None
2025-03-21T20:24:13.2403230Z             
2025-03-21T20:24:13.2403999Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.2404625Z             aten_permute_copy_default_248: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_494, [0, 2, 1, 3]);  aten_view_copy_default_494 = None
2025-03-21T20:24:13.2404719Z             
2025-03-21T20:24:13.2405595Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:284 in forward, code: attention_scores = torch.matmul(query_layer, key_layer.transpose(-1, -2))
2025-03-21T20:24:13.2406234Z             aten_permute_copy_default_249: "f32[1, 4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_permute_copy_default_247, [0, 1, 3, 2]);  aten_permute_copy_default_247 = None
2025-03-21T20:24:13.2406869Z             aten_expand_copy_default_48: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_246, [1, 4, 8, 32]);  aten_permute_copy_default_246 = None
2025-03-21T20:24:13.2407455Z             aten_view_copy_default_495: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_48, [4, 8, 32]);  aten_expand_copy_default_48 = None
2025-03-21T20:24:13.2408093Z             aten_expand_copy_default_49: "f32[1, 4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_249, [1, 4, 32, 8]);  aten_permute_copy_default_249 = None
2025-03-21T20:24:13.2408683Z             aten_view_copy_default_496: "f32[4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_49, [4, 32, 8]);  aten_expand_copy_default_49 = None
2025-03-21T20:24:13.2409395Z             aten_bmm_default_24: "f32[4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_495, aten_view_copy_default_496);  aten_view_copy_default_495 = aten_view_copy_default_496 = None
2025-03-21T20:24:13.2409932Z             aten_view_copy_default_497: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_24, [1, 4, 8, 8]);  aten_bmm_default_24 = None
2025-03-21T20:24:13.2410042Z             
2025-03-21T20:24:13.2410908Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:285 in forward, code: attention_scores = attention_scores / math.sqrt(self.attention_head_size)
2025-03-21T20:24:13.2411610Z             aten_div_tensor_12: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_div_Tensor(aten_view_copy_default_497, _lifted_tensor_constant15);  aten_view_copy_default_497 = _lifted_tensor_constant15 = None
2025-03-21T20:24:13.2411744Z             
2025-03-21T20:24:13.2412532Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:288 in forward, code: attention_scores = attention_scores + attention_mask
2025-03-21T20:24:13.2413024Z             aten_add_tensor_185: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_div_tensor_12, aten_mul_tensor);  aten_div_tensor_12 = None
2025-03-21T20:24:13.2413126Z             
2025-03-21T20:24:13.2413997Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:290 in forward, code: attention_probs = nn.functional.softmax(attention_scores, dim=-1)
2025-03-21T20:24:13.2414567Z             aten__softmax_default_12: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten__softmax_default(aten_add_tensor_185, -1, False);  aten_add_tensor_185 = None
2025-03-21T20:24:13.2414660Z             
2025-03-21T20:24:13.2415444Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:293 in forward, code: attention_probs = self.dropout(attention_probs)
2025-03-21T20:24:13.2415961Z             aten_clone_default_37: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten__softmax_default_12);  aten__softmax_default_12 = None
2025-03-21T20:24:13.2416052Z             
2025-03-21T20:24:13.2416862Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:297 in forward, code: context_layer = torch.matmul(attention_probs, value_layer)
2025-03-21T20:24:13.2417434Z             aten_expand_copy_default_50: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_clone_default_37, [1, 4, 8, 8]);  aten_clone_default_37 = None
2025-03-21T20:24:13.2418029Z             aten_view_copy_default_498: "f32[4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_50, [4, 8, 8]);  aten_expand_copy_default_50 = None
2025-03-21T20:24:13.2418654Z             aten_expand_copy_default_51: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_248, [1, 4, 8, 32]);  aten_permute_copy_default_248 = None
2025-03-21T20:24:13.2419252Z             aten_view_copy_default_499: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_51, [4, 8, 32]);  aten_expand_copy_default_51 = None
2025-03-21T20:24:13.2419951Z             aten_bmm_default_25: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_498, aten_view_copy_default_499);  aten_view_copy_default_498 = aten_view_copy_default_499 = None
2025-03-21T20:24:13.2420502Z             aten_view_copy_default_500: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_25, [1, 4, 8, 32]);  aten_bmm_default_25 = None
2025-03-21T20:24:13.2420597Z             
2025-03-21T20:24:13.2421431Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:298 in forward, code: context_layer = context_layer.permute(0, 2, 1, 3).contiguous()
2025-03-21T20:24:13.2422048Z             aten_permute_copy_default_250: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_500, [0, 2, 1, 3]);  aten_view_copy_default_500 = None
2025-03-21T20:24:13.2422776Z             aten_clone_default_38: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_permute_copy_default_250, memory_format = torch.contiguous_format);  aten_permute_copy_default_250 = None
2025-03-21T20:24:13.2422871Z             
2025-03-21T20:24:13.2423692Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:300 in forward, code: context_layer = context_layer.view(new_context_layer_shape)
2025-03-21T20:24:13.2424273Z             aten_view_copy_default_501: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_38, [1, 8, 128]);  aten_clone_default_38 = None
2025-03-21T20:24:13.2424370Z             
2025-03-21T20:24:13.2425118Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:315 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.2425726Z             aten_view_copy_default_502: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_501, [8, 128]);  aten_view_copy_default_501 = None
2025-03-21T20:24:13.2426532Z             aten_permute_copy_default_251: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_12_attention_output_dense_weight, [1, 0]);  p_encoder_layer_12_attention_output_dense_weight = None
2025-03-21T20:24:13.2427675Z             aten_addmm_default_186: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_12_attention_output_dense_bias, aten_view_copy_default_502, aten_permute_copy_default_251);  p_encoder_layer_12_attention_output_dense_bias = aten_view_copy_default_502 = aten_permute_copy_default_251 = None
2025-03-21T20:24:13.2428251Z             aten_view_copy_default_503: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_186, [1, 8, 128]);  aten_addmm_default_186 = None
2025-03-21T20:24:13.2428347Z             
2025-03-21T20:24:13.2429184Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:318 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.2429826Z             aten_add_tensor_186: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_503, aten_add_tensor_183);  aten_view_copy_default_503 = aten_add_tensor_183 = None
2025-03-21T20:24:13.2429935Z             
2025-03-21T20:24:13.2430687Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.2431563Z             aten_mul_tensor_100: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_186, p_encoder_layer_12_attention_output_layernorm_weight);  aten_add_tensor_186 = p_encoder_layer_12_attention_output_layernorm_weight = None
2025-03-21T20:24:13.2432402Z             aten_add_tensor_187: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_100, p_encoder_layer_12_attention_output_layernorm_bias);  aten_mul_tensor_100 = p_encoder_layer_12_attention_output_layernorm_bias = None
2025-03-21T20:24:13.2432508Z             
2025-03-21T20:24:13.2433332Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.2433774Z             aten_view_copy_default_504: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_187, [8, 128])
2025-03-21T20:24:13.2434565Z             aten_permute_copy_default_252: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_12_ffn_0_intermediate_dense_weight, [1, 0]);  p_encoder_layer_12_ffn_0_intermediate_dense_weight = None
2025-03-21T20:24:13.2435706Z             aten_addmm_default_187: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_12_ffn_0_intermediate_dense_bias, aten_view_copy_default_504, aten_permute_copy_default_252);  p_encoder_layer_12_ffn_0_intermediate_dense_bias = aten_view_copy_default_504 = aten_permute_copy_default_252 = None
2025-03-21T20:24:13.2436296Z             aten_view_copy_default_505: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_187, [1, 8, 512]);  aten_addmm_default_187 = None
2025-03-21T20:24:13.2436406Z             
2025-03-21T20:24:13.2437204Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.2437737Z             aten_relu_default_48: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_505);  aten_view_copy_default_505 = None
2025-03-21T20:24:13.2437854Z             
2025-03-21T20:24:13.2438623Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.2439165Z             aten_view_copy_default_506: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_48, [8, 512]);  aten_relu_default_48 = None
2025-03-21T20:24:13.2439936Z             aten_permute_copy_default_253: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_12_ffn_0_output_dense_weight, [1, 0]);  p_encoder_layer_12_ffn_0_output_dense_weight = None
2025-03-21T20:24:13.2440996Z             aten_addmm_default_188: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_12_ffn_0_output_dense_bias, aten_view_copy_default_506, aten_permute_copy_default_253);  p_encoder_layer_12_ffn_0_output_dense_bias = aten_view_copy_default_506 = aten_permute_copy_default_253 = None
2025-03-21T20:24:13.2441575Z             aten_view_copy_default_507: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_188, [1, 8, 128]);  aten_addmm_default_188 = None
2025-03-21T20:24:13.2441668Z             
2025-03-21T20:24:13.2442498Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.2443149Z             aten_add_tensor_188: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_507, aten_add_tensor_187);  aten_view_copy_default_507 = aten_add_tensor_187 = None
2025-03-21T20:24:13.2443242Z             
2025-03-21T20:24:13.2444005Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.2444818Z             aten_mul_tensor_101: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_188, p_encoder_layer_12_ffn_0_output_layernorm_weight);  aten_add_tensor_188 = p_encoder_layer_12_ffn_0_output_layernorm_weight = None
2025-03-21T20:24:13.2445615Z             aten_add_tensor_189: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_101, p_encoder_layer_12_ffn_0_output_layernorm_bias);  aten_mul_tensor_101 = p_encoder_layer_12_ffn_0_output_layernorm_bias = None
2025-03-21T20:24:13.2445704Z             
2025-03-21T20:24:13.2446447Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.2446872Z             aten_view_copy_default_508: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_189, [8, 128])
2025-03-21T20:24:13.2447670Z             aten_permute_copy_default_254: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_12_ffn_1_intermediate_dense_weight, [1, 0]);  p_encoder_layer_12_ffn_1_intermediate_dense_weight = None
2025-03-21T20:24:13.2448790Z             aten_addmm_default_189: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_12_ffn_1_intermediate_dense_bias, aten_view_copy_default_508, aten_permute_copy_default_254);  p_encoder_layer_12_ffn_1_intermediate_dense_bias = aten_view_copy_default_508 = aten_permute_copy_default_254 = None
2025-03-21T20:24:13.2449415Z             aten_view_copy_default_509: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_189, [1, 8, 512]);  aten_addmm_default_189 = None
2025-03-21T20:24:13.2449506Z             
2025-03-21T20:24:13.2450337Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.2450874Z             aten_relu_default_49: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_509);  aten_view_copy_default_509 = None
2025-03-21T20:24:13.2450983Z             
2025-03-21T20:24:13.2451715Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.2452300Z             aten_view_copy_default_510: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_49, [8, 512]);  aten_relu_default_49 = None
2025-03-21T20:24:13.2453033Z             aten_permute_copy_default_255: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_12_ffn_1_output_dense_weight, [1, 0]);  p_encoder_layer_12_ffn_1_output_dense_weight = None
2025-03-21T20:24:13.2454102Z             aten_addmm_default_190: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_12_ffn_1_output_dense_bias, aten_view_copy_default_510, aten_permute_copy_default_255);  p_encoder_layer_12_ffn_1_output_dense_bias = aten_view_copy_default_510 = aten_permute_copy_default_255 = None
2025-03-21T20:24:13.2454664Z             aten_view_copy_default_511: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_190, [1, 8, 128]);  aten_addmm_default_190 = None
2025-03-21T20:24:13.2454769Z             
2025-03-21T20:24:13.2455592Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.2456243Z             aten_add_tensor_190: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_511, aten_add_tensor_189);  aten_view_copy_default_511 = aten_add_tensor_189 = None
2025-03-21T20:24:13.2456336Z             
2025-03-21T20:24:13.2457092Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.2457911Z             aten_mul_tensor_102: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_190, p_encoder_layer_12_ffn_1_output_layernorm_weight);  aten_add_tensor_190 = p_encoder_layer_12_ffn_1_output_layernorm_weight = None
2025-03-21T20:24:13.2458691Z             aten_add_tensor_191: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_102, p_encoder_layer_12_ffn_1_output_layernorm_bias);  aten_mul_tensor_102 = p_encoder_layer_12_ffn_1_output_layernorm_bias = None
2025-03-21T20:24:13.2458800Z             
2025-03-21T20:24:13.2459529Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.2459967Z             aten_view_copy_default_512: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_191, [8, 128])
2025-03-21T20:24:13.2460771Z             aten_permute_copy_default_256: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_12_ffn_2_intermediate_dense_weight, [1, 0]);  p_encoder_layer_12_ffn_2_intermediate_dense_weight = None
2025-03-21T20:24:13.2461909Z             aten_addmm_default_191: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_12_ffn_2_intermediate_dense_bias, aten_view_copy_default_512, aten_permute_copy_default_256);  p_encoder_layer_12_ffn_2_intermediate_dense_bias = aten_view_copy_default_512 = aten_permute_copy_default_256 = None
2025-03-21T20:24:13.2462494Z             aten_view_copy_default_513: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_191, [1, 8, 512]);  aten_addmm_default_191 = None
2025-03-21T20:24:13.2462597Z             
2025-03-21T20:24:13.2463413Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.2463965Z             aten_relu_default_50: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_513);  aten_view_copy_default_513 = None
2025-03-21T20:24:13.2464058Z             
2025-03-21T20:24:13.2464795Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.2465332Z             aten_view_copy_default_514: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_50, [8, 512]);  aten_relu_default_50 = None
2025-03-21T20:24:13.2466071Z             aten_permute_copy_default_257: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_12_ffn_2_output_dense_weight, [1, 0]);  p_encoder_layer_12_ffn_2_output_dense_weight = None
2025-03-21T20:24:13.2467135Z             aten_addmm_default_192: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_12_ffn_2_output_dense_bias, aten_view_copy_default_514, aten_permute_copy_default_257);  p_encoder_layer_12_ffn_2_output_dense_bias = aten_view_copy_default_514 = aten_permute_copy_default_257 = None
2025-03-21T20:24:13.2467703Z             aten_view_copy_default_515: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_192, [1, 8, 128]);  aten_addmm_default_192 = None
2025-03-21T20:24:13.2467793Z             
2025-03-21T20:24:13.2468630Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.2469273Z             aten_add_tensor_192: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_515, aten_add_tensor_191);  aten_view_copy_default_515 = aten_add_tensor_191 = None
2025-03-21T20:24:13.2469376Z             
2025-03-21T20:24:13.2470126Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.2470931Z             aten_mul_tensor_103: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_192, p_encoder_layer_12_ffn_2_output_layernorm_weight);  aten_add_tensor_192 = p_encoder_layer_12_ffn_2_output_layernorm_weight = None
2025-03-21T20:24:13.2471730Z             aten_add_tensor_193: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_103, p_encoder_layer_12_ffn_2_output_layernorm_bias);  aten_mul_tensor_103 = p_encoder_layer_12_ffn_2_output_layernorm_bias = None
2025-03-21T20:24:13.2471824Z             
2025-03-21T20:24:13.2472571Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.2473113Z             aten_view_copy_default_516: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_193, [8, 128])
2025-03-21T20:24:13.2473874Z             aten_permute_copy_default_258: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_12_intermediate_dense_weight, [1, 0]);  p_encoder_layer_12_intermediate_dense_weight = None
2025-03-21T20:24:13.2475152Z             aten_addmm_default_193: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_12_intermediate_dense_bias, aten_view_copy_default_516, aten_permute_copy_default_258);  p_encoder_layer_12_intermediate_dense_bias = aten_view_copy_default_516 = aten_permute_copy_default_258 = None
2025-03-21T20:24:13.2475795Z             aten_view_copy_default_517: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_193, [1, 8, 512]);  aten_addmm_default_193 = None
2025-03-21T20:24:13.2475895Z             
2025-03-21T20:24:13.2476731Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.2477254Z             aten_relu_default_51: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_517);  aten_view_copy_default_517 = None
2025-03-21T20:24:13.2477371Z             
2025-03-21T20:24:13.2478132Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:415 in forward, code: layer_output = self.dense(intermediate_states)
2025-03-21T20:24:13.2478684Z             aten_view_copy_default_518: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_51, [8, 512]);  aten_relu_default_51 = None
2025-03-21T20:24:13.2479392Z             aten_permute_copy_default_259: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_12_output_dense_weight, [1, 0]);  p_encoder_layer_12_output_dense_weight = None
2025-03-21T20:24:13.2480431Z             aten_addmm_default_194: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_12_output_dense_bias, aten_view_copy_default_518, aten_permute_copy_default_259);  p_encoder_layer_12_output_dense_bias = aten_view_copy_default_518 = aten_permute_copy_default_259 = None
2025-03-21T20:24:13.2480995Z             aten_view_copy_default_519: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_194, [1, 8, 128]);  aten_addmm_default_194 = None
2025-03-21T20:24:13.2481100Z             
2025-03-21T20:24:13.2481927Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:420 in forward, code: layer_output = self.LayerNorm(layer_output + residual_tensor_1)
2025-03-21T20:24:13.2482586Z             aten_add_tensor_194: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_519, aten_add_tensor_193);  aten_view_copy_default_519 = aten_add_tensor_193 = None
2025-03-21T20:24:13.2482682Z             
2025-03-21T20:24:13.2483445Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.2484219Z             aten_mul_tensor_104: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_194, p_encoder_layer_12_output_layernorm_weight);  aten_add_tensor_194 = p_encoder_layer_12_output_layernorm_weight = None
2025-03-21T20:24:13.2484977Z             aten_add_tensor_195: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_104, p_encoder_layer_12_output_layernorm_bias);  aten_mul_tensor_104 = p_encoder_layer_12_output_layernorm_bias = None
2025-03-21T20:24:13.2485100Z             
2025-03-21T20:24:13.2485843Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:395 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.2486380Z             aten_view_copy_default_520: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_195, [8, 128]);  aten_add_tensor_195 = None
2025-03-21T20:24:13.2487191Z             aten_permute_copy_default_260: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_12_output_bottleneck_dense_weight, [1, 0]);  p_encoder_layer_12_output_bottleneck_dense_weight = None
2025-03-21T20:24:13.2488356Z             aten_addmm_default_195: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_12_output_bottleneck_dense_bias, aten_view_copy_default_520, aten_permute_copy_default_260);  p_encoder_layer_12_output_bottleneck_dense_bias = aten_view_copy_default_520 = aten_permute_copy_default_260 = None
2025-03-21T20:24:13.2488939Z             aten_view_copy_default_521: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_195, [1, 8, 512]);  aten_addmm_default_195 = None
2025-03-21T20:24:13.2489044Z             
2025-03-21T20:24:13.2489783Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:396 in forward, code: layer_outputs = self.dropout(layer_outputs)
2025-03-21T20:24:13.2490322Z             aten_clone_default_39: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_521);  aten_view_copy_default_521 = None
2025-03-21T20:24:13.2490414Z             
2025-03-21T20:24:13.2491248Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:397 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.2491856Z             aten_add_tensor_196: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_39, aten_add_tensor_182);  aten_clone_default_39 = aten_add_tensor_182 = None
2025-03-21T20:24:13.2491961Z             
2025-03-21T20:24:13.2492708Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.2493590Z             aten_mul_tensor_105: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_196, p_encoder_layer_12_output_bottleneck_layernorm_weight);  aten_add_tensor_196 = p_encoder_layer_12_output_bottleneck_layernorm_weight = None
2025-03-21T20:24:13.2494430Z             aten_add_tensor_197: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_105, p_encoder_layer_12_output_bottleneck_layernorm_bias);  aten_mul_tensor_105 = p_encoder_layer_12_output_bottleneck_layernorm_bias = None
2025-03-21T20:24:13.2494537Z             
2025-03-21T20:24:13.2495273Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:432 in forward, code: layer_input = self.dense(hidden_states)
2025-03-21T20:24:13.2495708Z             aten_view_copy_default_522: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_197, [8, 512])
2025-03-21T20:24:13.2496479Z             aten_permute_copy_default_261: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_13_bottleneck_input_dense_weight, [1, 0]);  p_encoder_layer_13_bottleneck_input_dense_weight = None
2025-03-21T20:24:13.2497606Z             aten_addmm_default_196: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_13_bottleneck_input_dense_bias, aten_view_copy_default_522, aten_permute_copy_default_261);  p_encoder_layer_13_bottleneck_input_dense_bias = aten_view_copy_default_522 = aten_permute_copy_default_261 = None
2025-03-21T20:24:13.2498201Z             aten_view_copy_default_523: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_196, [1, 8, 128]);  aten_addmm_default_196 = None
2025-03-21T20:24:13.2498307Z             
2025-03-21T20:24:13.2499061Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.2500051Z             aten_mul_tensor_106: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_523, p_encoder_layer_13_bottleneck_input_layernorm_weight);  aten_view_copy_default_523 = p_encoder_layer_13_bottleneck_input_layernorm_weight = None
2025-03-21T20:24:13.2500911Z             aten_add_tensor_198: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_106, p_encoder_layer_13_bottleneck_input_layernorm_bias);  aten_mul_tensor_106 = p_encoder_layer_13_bottleneck_input_layernorm_bias = None
2025-03-21T20:24:13.2501014Z             
2025-03-21T20:24:13.2501741Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:432 in forward, code: layer_input = self.dense(hidden_states)
2025-03-21T20:24:13.2502367Z             aten_view_copy_default_524: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_197, [8, 512])
2025-03-21T20:24:13.2503193Z             aten_permute_copy_default_262: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_13_bottleneck_attention_dense_weight, [1, 0]);  p_encoder_layer_13_bottleneck_attention_dense_weight = None
2025-03-21T20:24:13.2504348Z             aten_addmm_default_197: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_13_bottleneck_attention_dense_bias, aten_view_copy_default_524, aten_permute_copy_default_262);  p_encoder_layer_13_bottleneck_attention_dense_bias = aten_view_copy_default_524 = aten_permute_copy_default_262 = None
2025-03-21T20:24:13.2504924Z             aten_view_copy_default_525: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_197, [1, 8, 128]);  aten_addmm_default_197 = None
2025-03-21T20:24:13.2505013Z             
2025-03-21T20:24:13.2505780Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.2506725Z             aten_mul_tensor_107: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_525, p_encoder_layer_13_bottleneck_attention_layernorm_weight);  aten_view_copy_default_525 = p_encoder_layer_13_bottleneck_attention_layernorm_weight = None
2025-03-21T20:24:13.2507604Z             aten_add_tensor_199: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_107, p_encoder_layer_13_bottleneck_attention_layernorm_bias);  aten_mul_tensor_107 = p_encoder_layer_13_bottleneck_attention_layernorm_bias = None
2025-03-21T20:24:13.2507697Z             
2025-03-21T20:24:13.2508456Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:275 in forward, code: mixed_query_layer = self.query(query_tensor)
2025-03-21T20:24:13.2508885Z             aten_view_copy_default_526: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_199, [8, 128])
2025-03-21T20:24:13.2509651Z             aten_permute_copy_default_263: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_13_attention_self_query_weight, [1, 0]);  p_encoder_layer_13_attention_self_query_weight = None
2025-03-21T20:24:13.2510802Z             aten_addmm_default_198: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_13_attention_self_query_bias, aten_view_copy_default_526, aten_permute_copy_default_263);  p_encoder_layer_13_attention_self_query_bias = aten_view_copy_default_526 = aten_permute_copy_default_263 = None
2025-03-21T20:24:13.2511373Z             aten_view_copy_default_527: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_198, [1, 8, 128]);  aten_addmm_default_198 = None
2025-03-21T20:24:13.2511503Z             
2025-03-21T20:24:13.2512240Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:276 in forward, code: mixed_key_layer = self.key(key_tensor)
2025-03-21T20:24:13.2512797Z             aten_view_copy_default_528: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_199, [8, 128]);  aten_add_tensor_199 = None
2025-03-21T20:24:13.2513673Z             aten_permute_copy_default_264: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_13_attention_self_key_weight, [1, 0]);  p_encoder_layer_13_attention_self_key_weight = None
2025-03-21T20:24:13.2514756Z             aten_addmm_default_199: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_13_attention_self_key_bias, aten_view_copy_default_528, aten_permute_copy_default_264);  p_encoder_layer_13_attention_self_key_bias = aten_view_copy_default_528 = aten_permute_copy_default_264 = None
2025-03-21T20:24:13.2515330Z             aten_view_copy_default_529: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_199, [1, 8, 128]);  aten_addmm_default_199 = None
2025-03-21T20:24:13.2515424Z             
2025-03-21T20:24:13.2516191Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:277 in forward, code: mixed_value_layer = self.value(value_tensor)
2025-03-21T20:24:13.2516618Z             aten_view_copy_default_530: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_197, [8, 512])
2025-03-21T20:24:13.2517376Z             aten_permute_copy_default_265: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_13_attention_self_value_weight, [1, 0]);  p_encoder_layer_13_attention_self_value_weight = None
2025-03-21T20:24:13.2518465Z             aten_addmm_default_200: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_13_attention_self_value_bias, aten_view_copy_default_530, aten_permute_copy_default_265);  p_encoder_layer_13_attention_self_value_bias = aten_view_copy_default_530 = aten_permute_copy_default_265 = None
2025-03-21T20:24:13.2519035Z             aten_view_copy_default_531: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_200, [1, 8, 128]);  aten_addmm_default_200 = None
2025-03-21T20:24:13.2519128Z             
2025-03-21T20:24:13.2519859Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.2520449Z             aten_view_copy_default_532: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_527, [1, 8, 4, 32]);  aten_view_copy_default_527 = None
2025-03-21T20:24:13.2520556Z             
2025-03-21T20:24:13.2521292Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.2521910Z             aten_permute_copy_default_266: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_532, [0, 2, 1, 3]);  aten_view_copy_default_532 = None
2025-03-21T20:24:13.2522041Z             
2025-03-21T20:24:13.2522755Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.2523349Z             aten_view_copy_default_533: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_529, [1, 8, 4, 32]);  aten_view_copy_default_529 = None
2025-03-21T20:24:13.2523448Z             
2025-03-21T20:24:13.2524211Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.2524851Z             aten_permute_copy_default_267: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_533, [0, 2, 1, 3]);  aten_view_copy_default_533 = None
2025-03-21T20:24:13.2524956Z             
2025-03-21T20:24:13.2525695Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.2526294Z             aten_view_copy_default_534: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_531, [1, 8, 4, 32]);  aten_view_copy_default_531 = None
2025-03-21T20:24:13.2526389Z             
2025-03-21T20:24:13.2527131Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.2527753Z             aten_permute_copy_default_268: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_534, [0, 2, 1, 3]);  aten_view_copy_default_534 = None
2025-03-21T20:24:13.2527846Z             
2025-03-21T20:24:13.2528733Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:284 in forward, code: attention_scores = torch.matmul(query_layer, key_layer.transpose(-1, -2))
2025-03-21T20:24:13.2529373Z             aten_permute_copy_default_269: "f32[1, 4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_permute_copy_default_267, [0, 1, 3, 2]);  aten_permute_copy_default_267 = None
2025-03-21T20:24:13.2530005Z             aten_expand_copy_default_52: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_266, [1, 4, 8, 32]);  aten_permute_copy_default_266 = None
2025-03-21T20:24:13.2530598Z             aten_view_copy_default_535: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_52, [4, 8, 32]);  aten_expand_copy_default_52 = None
2025-03-21T20:24:13.2531229Z             aten_expand_copy_default_53: "f32[1, 4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_269, [1, 4, 32, 8]);  aten_permute_copy_default_269 = None
2025-03-21T20:24:13.2531821Z             aten_view_copy_default_536: "f32[4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_53, [4, 32, 8]);  aten_expand_copy_default_53 = None
2025-03-21T20:24:13.2532522Z             aten_bmm_default_26: "f32[4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_535, aten_view_copy_default_536);  aten_view_copy_default_535 = aten_view_copy_default_536 = None
2025-03-21T20:24:13.2533061Z             aten_view_copy_default_537: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_26, [1, 4, 8, 8]);  aten_bmm_default_26 = None
2025-03-21T20:24:13.2533166Z             
2025-03-21T20:24:13.2534042Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:285 in forward, code: attention_scores = attention_scores / math.sqrt(self.attention_head_size)
2025-03-21T20:24:13.2534766Z             aten_div_tensor_13: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_div_Tensor(aten_view_copy_default_537, _lifted_tensor_constant16);  aten_view_copy_default_537 = _lifted_tensor_constant16 = None
2025-03-21T20:24:13.2534860Z             
2025-03-21T20:24:13.2535653Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:288 in forward, code: attention_scores = attention_scores + attention_mask
2025-03-21T20:24:13.2536196Z             aten_add_tensor_200: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_div_tensor_13, aten_mul_tensor);  aten_div_tensor_13 = None
2025-03-21T20:24:13.2536294Z             
2025-03-21T20:24:13.2537147Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:290 in forward, code: attention_probs = nn.functional.softmax(attention_scores, dim=-1)
2025-03-21T20:24:13.2537712Z             aten__softmax_default_13: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten__softmax_default(aten_add_tensor_200, -1, False);  aten_add_tensor_200 = None
2025-03-21T20:24:13.2537805Z             
2025-03-21T20:24:13.2538565Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:293 in forward, code: attention_probs = self.dropout(attention_probs)
2025-03-21T20:24:13.2539081Z             aten_clone_default_40: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten__softmax_default_13);  aten__softmax_default_13 = None
2025-03-21T20:24:13.2539177Z             
2025-03-21T20:24:13.2539988Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:297 in forward, code: context_layer = torch.matmul(attention_probs, value_layer)
2025-03-21T20:24:13.2540560Z             aten_expand_copy_default_54: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_clone_default_40, [1, 4, 8, 8]);  aten_clone_default_40 = None
2025-03-21T20:24:13.2541153Z             aten_view_copy_default_538: "f32[4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_54, [4, 8, 8]);  aten_expand_copy_default_54 = None
2025-03-21T20:24:13.2541776Z             aten_expand_copy_default_55: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_268, [1, 4, 8, 32]);  aten_permute_copy_default_268 = None
2025-03-21T20:24:13.2542379Z             aten_view_copy_default_539: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_55, [4, 8, 32]);  aten_expand_copy_default_55 = None
2025-03-21T20:24:13.2543068Z             aten_bmm_default_27: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_538, aten_view_copy_default_539);  aten_view_copy_default_538 = aten_view_copy_default_539 = None
2025-03-21T20:24:13.2543617Z             aten_view_copy_default_540: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_27, [1, 4, 8, 32]);  aten_bmm_default_27 = None
2025-03-21T20:24:13.2543711Z             
2025-03-21T20:24:13.2544537Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:298 in forward, code: context_layer = context_layer.permute(0, 2, 1, 3).contiguous()
2025-03-21T20:24:13.2545156Z             aten_permute_copy_default_270: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_540, [0, 2, 1, 3]);  aten_view_copy_default_540 = None
2025-03-21T20:24:13.2545878Z             aten_clone_default_41: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_permute_copy_default_270, memory_format = torch.contiguous_format);  aten_permute_copy_default_270 = None
2025-03-21T20:24:13.2545999Z             
2025-03-21T20:24:13.2546810Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:300 in forward, code: context_layer = context_layer.view(new_context_layer_shape)
2025-03-21T20:24:13.2547366Z             aten_view_copy_default_541: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_41, [1, 8, 128]);  aten_clone_default_41 = None
2025-03-21T20:24:13.2547502Z             
2025-03-21T20:24:13.2548238Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:315 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.2548841Z             aten_view_copy_default_542: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_541, [8, 128]);  aten_view_copy_default_541 = None
2025-03-21T20:24:13.2549647Z             aten_permute_copy_default_271: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_13_attention_output_dense_weight, [1, 0]);  p_encoder_layer_13_attention_output_dense_weight = None
2025-03-21T20:24:13.2550761Z             aten_addmm_default_201: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_13_attention_output_dense_bias, aten_view_copy_default_542, aten_permute_copy_default_271);  p_encoder_layer_13_attention_output_dense_bias = aten_view_copy_default_542 = aten_permute_copy_default_271 = None
2025-03-21T20:24:13.2551336Z             aten_view_copy_default_543: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_201, [1, 8, 128]);  aten_addmm_default_201 = None
2025-03-21T20:24:13.2551430Z             
2025-03-21T20:24:13.2552263Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:318 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.2552906Z             aten_add_tensor_201: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_543, aten_add_tensor_198);  aten_view_copy_default_543 = aten_add_tensor_198 = None
2025-03-21T20:24:13.2553098Z             
2025-03-21T20:24:13.2553846Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.2554717Z             aten_mul_tensor_108: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_201, p_encoder_layer_13_attention_output_layernorm_weight);  aten_add_tensor_201 = p_encoder_layer_13_attention_output_layernorm_weight = None
2025-03-21T20:24:13.2555551Z             aten_add_tensor_202: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_108, p_encoder_layer_13_attention_output_layernorm_bias);  aten_mul_tensor_108 = p_encoder_layer_13_attention_output_layernorm_bias = None
2025-03-21T20:24:13.2555665Z             
2025-03-21T20:24:13.2556402Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.2556844Z             aten_view_copy_default_544: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_202, [8, 128])
2025-03-21T20:24:13.2557633Z             aten_permute_copy_default_272: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_13_ffn_0_intermediate_dense_weight, [1, 0]);  p_encoder_layer_13_ffn_0_intermediate_dense_weight = None
2025-03-21T20:24:13.2567716Z             aten_addmm_default_202: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_13_ffn_0_intermediate_dense_bias, aten_view_copy_default_544, aten_permute_copy_default_272);  p_encoder_layer_13_ffn_0_intermediate_dense_bias = aten_view_copy_default_544 = aten_permute_copy_default_272 = None
2025-03-21T20:24:13.2569767Z             aten_view_copy_default_545: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_202, [1, 8, 512]);  aten_addmm_default_202 = None
2025-03-21T20:24:13.2570555Z             
2025-03-21T20:24:13.2571495Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.2573004Z             aten_relu_default_52: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_545);  aten_view_copy_default_545 = None
2025-03-21T20:24:13.2573740Z             
2025-03-21T20:24:13.2574625Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.2576051Z             aten_view_copy_default_546: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_52, [8, 512]);  aten_relu_default_52 = None
2025-03-21T20:24:13.2577493Z             aten_permute_copy_default_273: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_13_ffn_0_output_dense_weight, [1, 0]);  p_encoder_layer_13_ffn_0_output_dense_weight = None
2025-03-21T20:24:13.2579436Z             aten_addmm_default_203: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_13_ffn_0_output_dense_bias, aten_view_copy_default_546, aten_permute_copy_default_273);  p_encoder_layer_13_ffn_0_output_dense_bias = aten_view_copy_default_546 = aten_permute_copy_default_273 = None
2025-03-21T20:24:13.2581177Z             aten_view_copy_default_547: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_203, [1, 8, 128]);  aten_addmm_default_203 = None
2025-03-21T20:24:13.2581963Z             
2025-03-21T20:24:13.2582928Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.2584515Z             aten_add_tensor_203: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_547, aten_add_tensor_202);  aten_view_copy_default_547 = aten_add_tensor_202 = None
2025-03-21T20:24:13.2585367Z             
2025-03-21T20:24:13.2586260Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.2587939Z             aten_mul_tensor_109: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_203, p_encoder_layer_13_ffn_0_output_layernorm_weight);  aten_add_tensor_203 = p_encoder_layer_13_ffn_0_output_layernorm_weight = None
2025-03-21T20:24:13.2589650Z             aten_add_tensor_204: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_109, p_encoder_layer_13_ffn_0_output_layernorm_bias);  aten_mul_tensor_109 = p_encoder_layer_13_ffn_0_output_layernorm_bias = None
2025-03-21T20:24:13.2590645Z             
2025-03-21T20:24:13.2591522Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.2592798Z             aten_view_copy_default_548: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_204, [8, 128])
2025-03-21T20:24:13.2594288Z             aten_permute_copy_default_274: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_13_ffn_1_intermediate_dense_weight, [1, 0]);  p_encoder_layer_13_ffn_1_intermediate_dense_weight = None
2025-03-21T20:24:13.2596336Z             aten_addmm_default_204: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_13_ffn_1_intermediate_dense_bias, aten_view_copy_default_548, aten_permute_copy_default_274);  p_encoder_layer_13_ffn_1_intermediate_dense_bias = aten_view_copy_default_548 = aten_permute_copy_default_274 = None
2025-03-21T20:24:13.2598175Z             aten_view_copy_default_549: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_204, [1, 8, 512]);  aten_addmm_default_204 = None
2025-03-21T20:24:13.2598947Z             
2025-03-21T20:24:13.2599909Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.2601367Z             aten_relu_default_53: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_549);  aten_view_copy_default_549 = None
2025-03-21T20:24:13.2602302Z             
2025-03-21T20:24:13.2603182Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.2604576Z             aten_view_copy_default_550: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_53, [8, 512]);  aten_relu_default_53 = None
2025-03-21T20:24:13.2605978Z             aten_permute_copy_default_275: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_13_ffn_1_output_dense_weight, [1, 0]);  p_encoder_layer_13_ffn_1_output_dense_weight = None
2025-03-21T20:24:13.2607903Z             aten_addmm_default_205: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_13_ffn_1_output_dense_bias, aten_view_copy_default_550, aten_permute_copy_default_275);  p_encoder_layer_13_ffn_1_output_dense_bias = aten_view_copy_default_550 = aten_permute_copy_default_275 = None
2025-03-21T20:24:13.2609636Z             aten_view_copy_default_551: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_205, [1, 8, 128]);  aten_addmm_default_205 = None
2025-03-21T20:24:13.2610411Z             
2025-03-21T20:24:13.2611361Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.2612951Z             aten_add_tensor_205: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_551, aten_add_tensor_204);  aten_view_copy_default_551 = aten_add_tensor_204 = None
2025-03-21T20:24:13.2613824Z             
2025-03-21T20:24:13.2614716Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.2616393Z             aten_mul_tensor_110: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_205, p_encoder_layer_13_ffn_1_output_layernorm_weight);  aten_add_tensor_205 = p_encoder_layer_13_ffn_1_output_layernorm_weight = None
2025-03-21T20:24:13.2618111Z             aten_add_tensor_206: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_110, p_encoder_layer_13_ffn_1_output_layernorm_bias);  aten_mul_tensor_110 = p_encoder_layer_13_ffn_1_output_layernorm_bias = None
2025-03-21T20:24:13.2619112Z             
2025-03-21T20:24:13.2619988Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.2621333Z             aten_view_copy_default_552: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_206, [8, 128])
2025-03-21T20:24:13.2622673Z             aten_permute_copy_default_276: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_13_ffn_2_intermediate_dense_weight, [1, 0]);  p_encoder_layer_13_ffn_2_intermediate_dense_weight = None
2025-03-21T20:24:13.2624756Z             aten_addmm_default_206: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_13_ffn_2_intermediate_dense_bias, aten_view_copy_default_552, aten_permute_copy_default_276);  p_encoder_layer_13_ffn_2_intermediate_dense_bias = aten_view_copy_default_552 = aten_permute_copy_default_276 = None
2025-03-21T20:24:13.2626615Z             aten_view_copy_default_553: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_206, [1, 8, 512]);  aten_addmm_default_206 = None
2025-03-21T20:24:13.2627398Z             
2025-03-21T20:24:13.2628374Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.2629807Z             aten_relu_default_54: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_553);  aten_view_copy_default_553 = None
2025-03-21T20:24:13.2630540Z             
2025-03-21T20:24:13.2631414Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.2632816Z             aten_view_copy_default_554: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_54, [8, 512]);  aten_relu_default_54 = None
2025-03-21T20:24:13.2634297Z             aten_permute_copy_default_277: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_13_ffn_2_output_dense_weight, [1, 0]);  p_encoder_layer_13_ffn_2_output_dense_weight = None
2025-03-21T20:24:13.2636228Z             aten_addmm_default_207: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_13_ffn_2_output_dense_bias, aten_view_copy_default_554, aten_permute_copy_default_277);  p_encoder_layer_13_ffn_2_output_dense_bias = aten_view_copy_default_554 = aten_permute_copy_default_277 = None
2025-03-21T20:24:13.2637987Z             aten_view_copy_default_555: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_207, [1, 8, 128]);  aten_addmm_default_207 = None
2025-03-21T20:24:13.2638772Z             
2025-03-21T20:24:13.2639737Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.2641335Z             aten_add_tensor_207: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_555, aten_add_tensor_206);  aten_view_copy_default_555 = aten_add_tensor_206 = None
2025-03-21T20:24:13.2642197Z             
2025-03-21T20:24:13.2643085Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.2644774Z             aten_mul_tensor_111: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_207, p_encoder_layer_13_ffn_2_output_layernorm_weight);  aten_add_tensor_207 = p_encoder_layer_13_ffn_2_output_layernorm_weight = None
2025-03-21T20:24:13.2646484Z             aten_add_tensor_208: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_111, p_encoder_layer_13_ffn_2_output_layernorm_bias);  aten_mul_tensor_111 = p_encoder_layer_13_ffn_2_output_layernorm_bias = None
2025-03-21T20:24:13.2647521Z             
2025-03-21T20:24:13.2648386Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.2649667Z             aten_view_copy_default_556: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_208, [8, 128])
2025-03-21T20:24:13.2650982Z             aten_permute_copy_default_278: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_13_intermediate_dense_weight, [1, 0]);  p_encoder_layer_13_intermediate_dense_weight = None
2025-03-21T20:24:13.2652971Z             aten_addmm_default_208: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_13_intermediate_dense_bias, aten_view_copy_default_556, aten_permute_copy_default_278);  p_encoder_layer_13_intermediate_dense_bias = aten_view_copy_default_556 = aten_permute_copy_default_278 = None
2025-03-21T20:24:13.2654776Z             aten_view_copy_default_557: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_208, [1, 8, 512]);  aten_addmm_default_208 = None
2025-03-21T20:24:13.2655548Z             
2025-03-21T20:24:13.2656487Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.2657914Z             aten_relu_default_55: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_557);  aten_view_copy_default_557 = None
2025-03-21T20:24:13.2658644Z             
2025-03-21T20:24:13.2659526Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:415 in forward, code: layer_output = self.dense(intermediate_states)
2025-03-21T20:24:13.2660944Z             aten_view_copy_default_558: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_55, [8, 512]);  aten_relu_default_55 = None
2025-03-21T20:24:13.2662305Z             aten_permute_copy_default_279: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_13_output_dense_weight, [1, 0]);  p_encoder_layer_13_output_dense_weight = None
2025-03-21T20:24:13.2664144Z             aten_addmm_default_209: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_13_output_dense_bias, aten_view_copy_default_558, aten_permute_copy_default_279);  p_encoder_layer_13_output_dense_bias = aten_view_copy_default_558 = aten_permute_copy_default_279 = None
2025-03-21T20:24:13.2665856Z             aten_view_copy_default_559: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_209, [1, 8, 128]);  aten_addmm_default_209 = None
2025-03-21T20:24:13.2666626Z             
2025-03-21T20:24:13.2667585Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:420 in forward, code: layer_output = self.LayerNorm(layer_output + residual_tensor_1)
2025-03-21T20:24:13.2669170Z             aten_add_tensor_209: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_559, aten_add_tensor_208);  aten_view_copy_default_559 = aten_add_tensor_208 = None
2025-03-21T20:24:13.2670034Z             
2025-03-21T20:24:13.2670908Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.2672546Z             aten_mul_tensor_112: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_209, p_encoder_layer_13_output_layernorm_weight);  aten_add_tensor_209 = p_encoder_layer_13_output_layernorm_weight = None
2025-03-21T20:24:13.2674294Z             aten_add_tensor_210: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_112, p_encoder_layer_13_output_layernorm_bias);  aten_mul_tensor_112 = p_encoder_layer_13_output_layernorm_bias = None
2025-03-21T20:24:13.2675252Z             
2025-03-21T20:24:13.2676126Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:395 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.2677534Z             aten_view_copy_default_560: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_210, [8, 128]);  aten_add_tensor_210 = None
2025-03-21T20:24:13.2678998Z             aten_permute_copy_default_280: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_13_output_bottleneck_dense_weight, [1, 0]);  p_encoder_layer_13_output_bottleneck_dense_weight = None
2025-03-21T20:24:13.2681048Z             aten_addmm_default_210: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_13_output_bottleneck_dense_bias, aten_view_copy_default_560, aten_permute_copy_default_280);  p_encoder_layer_13_output_bottleneck_dense_bias = aten_view_copy_default_560 = aten_permute_copy_default_280 = None
2025-03-21T20:24:13.2682850Z             aten_view_copy_default_561: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_210, [1, 8, 512]);  aten_addmm_default_210 = None
2025-03-21T20:24:13.2683628Z             
2025-03-21T20:24:13.2684512Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:396 in forward, code: layer_outputs = self.dropout(layer_outputs)
2025-03-21T20:24:13.2685901Z             aten_clone_default_42: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_561);  aten_view_copy_default_561 = None
2025-03-21T20:24:13.2686642Z             
2025-03-21T20:24:13.2687607Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:397 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.2689149Z             aten_add_tensor_211: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_42, aten_add_tensor_197);  aten_clone_default_42 = aten_add_tensor_197 = None
2025-03-21T20:24:13.2689976Z             
2025-03-21T20:24:13.2690865Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.2692602Z             aten_mul_tensor_113: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_211, p_encoder_layer_13_output_bottleneck_layernorm_weight);  aten_add_tensor_211 = p_encoder_layer_13_output_bottleneck_layernorm_weight = None
2025-03-21T20:24:13.2694423Z             aten_add_tensor_212: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_113, p_encoder_layer_13_output_bottleneck_layernorm_bias);  aten_mul_tensor_113 = p_encoder_layer_13_output_bottleneck_layernorm_bias = None
2025-03-21T20:24:13.2695461Z             
2025-03-21T20:24:13.2696321Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:432 in forward, code: layer_input = self.dense(hidden_states)
2025-03-21T20:24:13.2697597Z             aten_view_copy_default_562: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_212, [8, 512])
2025-03-21T20:24:13.2698919Z             aten_permute_copy_default_281: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_14_bottleneck_input_dense_weight, [1, 0]);  p_encoder_layer_14_bottleneck_input_dense_weight = None
2025-03-21T20:24:13.2700963Z             aten_addmm_default_211: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_14_bottleneck_input_dense_bias, aten_view_copy_default_562, aten_permute_copy_default_281);  p_encoder_layer_14_bottleneck_input_dense_bias = aten_view_copy_default_562 = aten_permute_copy_default_281 = None
2025-03-21T20:24:13.2702974Z             aten_view_copy_default_563: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_211, [1, 8, 128]);  aten_addmm_default_211 = None
2025-03-21T20:24:13.2703820Z             
2025-03-21T20:24:13.2704753Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.2706579Z             aten_mul_tensor_114: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_563, p_encoder_layer_14_bottleneck_input_layernorm_weight);  aten_view_copy_default_563 = p_encoder_layer_14_bottleneck_input_layernorm_weight = None
2025-03-21T20:24:13.2708441Z             aten_add_tensor_213: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_114, p_encoder_layer_14_bottleneck_input_layernorm_bias);  aten_mul_tensor_114 = p_encoder_layer_14_bottleneck_input_layernorm_bias = None
2025-03-21T20:24:13.2709486Z             
2025-03-21T20:24:13.2710336Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:432 in forward, code: layer_input = self.dense(hidden_states)
2025-03-21T20:24:13.2711606Z             aten_view_copy_default_564: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_212, [8, 512])
2025-03-21T20:24:13.2713051Z             aten_permute_copy_default_282: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_14_bottleneck_attention_dense_weight, [1, 0]);  p_encoder_layer_14_bottleneck_attention_dense_weight = None
2025-03-21T20:24:13.2715145Z             aten_addmm_default_212: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_14_bottleneck_attention_dense_bias, aten_view_copy_default_564, aten_permute_copy_default_282);  p_encoder_layer_14_bottleneck_attention_dense_bias = aten_view_copy_default_564 = aten_permute_copy_default_282 = None
2025-03-21T20:24:13.2716982Z             aten_view_copy_default_565: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_212, [1, 8, 128]);  aten_addmm_default_212 = None
2025-03-21T20:24:13.2717756Z             
2025-03-21T20:24:13.2718652Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.2720465Z             aten_mul_tensor_115: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_565, p_encoder_layer_14_bottleneck_attention_layernorm_weight);  aten_view_copy_default_565 = p_encoder_layer_14_bottleneck_attention_layernorm_weight = None
2025-03-21T20:24:13.2722387Z             aten_add_tensor_214: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_115, p_encoder_layer_14_bottleneck_attention_layernorm_bias);  aten_mul_tensor_115 = p_encoder_layer_14_bottleneck_attention_layernorm_bias = None
2025-03-21T20:24:13.2723468Z             
2025-03-21T20:24:13.2724354Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:275 in forward, code: mixed_query_layer = self.query(query_tensor)
2025-03-21T20:24:13.2725644Z             aten_view_copy_default_566: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_214, [8, 128])
2025-03-21T20:24:13.2726985Z             aten_permute_copy_default_283: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_14_attention_self_query_weight, [1, 0]);  p_encoder_layer_14_attention_self_query_weight = None
2025-03-21T20:24:13.2728956Z             aten_addmm_default_213: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_14_attention_self_query_bias, aten_view_copy_default_566, aten_permute_copy_default_283);  p_encoder_layer_14_attention_self_query_bias = aten_view_copy_default_566 = aten_permute_copy_default_283 = None
2025-03-21T20:24:13.2730779Z             aten_view_copy_default_567: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_213, [1, 8, 128]);  aten_addmm_default_213 = None
2025-03-21T20:24:13.2731558Z             
2025-03-21T20:24:13.2732419Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:276 in forward, code: mixed_key_layer = self.key(key_tensor)
2025-03-21T20:24:13.2733817Z             aten_view_copy_default_568: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_214, [8, 128]);  aten_add_tensor_214 = None
2025-03-21T20:24:13.2735211Z             aten_permute_copy_default_284: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_14_attention_self_key_weight, [1, 0]);  p_encoder_layer_14_attention_self_key_weight = None
2025-03-21T20:24:13.2737142Z             aten_addmm_default_214: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_14_attention_self_key_bias, aten_view_copy_default_568, aten_permute_copy_default_284);  p_encoder_layer_14_attention_self_key_bias = aten_view_copy_default_568 = aten_permute_copy_default_284 = None
2025-03-21T20:24:13.2738903Z             aten_view_copy_default_569: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_214, [1, 8, 128]);  aten_addmm_default_214 = None
2025-03-21T20:24:13.2739682Z             
2025-03-21T20:24:13.2740562Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:277 in forward, code: mixed_value_layer = self.value(value_tensor)
2025-03-21T20:24:13.2741851Z             aten_view_copy_default_570: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_212, [8, 512])
2025-03-21T20:24:13.2743154Z             aten_permute_copy_default_285: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_14_attention_self_value_weight, [1, 0]);  p_encoder_layer_14_attention_self_value_weight = None
2025-03-21T20:24:13.2745121Z             aten_addmm_default_215: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_14_attention_self_value_bias, aten_view_copy_default_570, aten_permute_copy_default_285);  p_encoder_layer_14_attention_self_value_bias = aten_view_copy_default_570 = aten_permute_copy_default_285 = None
2025-03-21T20:24:13.2746896Z             aten_view_copy_default_571: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_215, [1, 8, 128]);  aten_addmm_default_215 = None
2025-03-21T20:24:13.2747669Z             
2025-03-21T20:24:13.2748522Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.2749954Z             aten_view_copy_default_572: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_567, [1, 8, 4, 32]);  aten_view_copy_default_567 = None
2025-03-21T20:24:13.2750747Z             
2025-03-21T20:24:13.2751609Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.2753190Z             aten_permute_copy_default_286: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_572, [0, 2, 1, 3]);  aten_view_copy_default_572 = None
2025-03-21T20:24:13.2754017Z             
2025-03-21T20:24:13.2754867Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.2756326Z             aten_view_copy_default_573: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_569, [1, 8, 4, 32]);  aten_view_copy_default_569 = None
2025-03-21T20:24:13.2757125Z             
2025-03-21T20:24:13.2758023Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.2759812Z             aten_permute_copy_default_287: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_573, [0, 2, 1, 3]);  aten_view_copy_default_573 = None
2025-03-21T20:24:13.2760638Z             
2025-03-21T20:24:13.2761498Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.2762909Z             aten_view_copy_default_574: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_571, [1, 8, 4, 32]);  aten_view_copy_default_571 = None
2025-03-21T20:24:13.2763705Z             
2025-03-21T20:24:13.2764580Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.2766054Z             aten_permute_copy_default_288: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_574, [0, 2, 1, 3]);  aten_view_copy_default_574 = None
2025-03-21T20:24:13.2766876Z             
2025-03-21T20:24:13.2767869Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:284 in forward, code: attention_scores = torch.matmul(query_layer, key_layer.transpose(-1, -2))
2025-03-21T20:24:13.2769494Z             aten_permute_copy_default_289: "f32[1, 4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_permute_copy_default_287, [0, 1, 3, 2]);  aten_permute_copy_default_287 = None
2025-03-21T20:24:13.2770877Z             aten_expand_copy_default_56: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_286, [1, 4, 8, 32]);  aten_permute_copy_default_286 = None
2025-03-21T20:24:13.2772205Z             aten_view_copy_default_575: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_56, [4, 8, 32]);  aten_expand_copy_default_56 = None
2025-03-21T20:24:13.2773525Z             aten_expand_copy_default_57: "f32[1, 4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_289, [1, 4, 32, 8]);  aten_permute_copy_default_289 = None
2025-03-21T20:24:13.2774852Z             aten_view_copy_default_576: "f32[4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_57, [4, 32, 8]);  aten_expand_copy_default_57 = None
2025-03-21T20:24:13.2776253Z             aten_bmm_default_28: "f32[4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_575, aten_view_copy_default_576);  aten_view_copy_default_575 = aten_view_copy_default_576 = None
2025-03-21T20:24:13.2777593Z             aten_view_copy_default_577: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_28, [1, 4, 8, 8]);  aten_bmm_default_28 = None
2025-03-21T20:24:13.2778370Z             
2025-03-21T20:24:13.2779384Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:285 in forward, code: attention_scores = attention_scores / math.sqrt(self.attention_head_size)
2025-03-21T20:24:13.2781058Z             aten_div_tensor_14: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_div_Tensor(aten_view_copy_default_577, _lifted_tensor_constant17);  aten_view_copy_default_577 = _lifted_tensor_constant17 = None
2025-03-21T20:24:13.2781982Z             
2025-03-21T20:24:13.2782918Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:288 in forward, code: attention_scores = attention_scores + attention_mask
2025-03-21T20:24:13.2784302Z             aten_add_tensor_215: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_div_tensor_14, aten_mul_tensor);  aten_div_tensor_14 = None
2025-03-21T20:24:13.2785000Z             
2025-03-21T20:24:13.2786001Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:290 in forward, code: attention_probs = nn.functional.softmax(attention_scores, dim=-1)
2025-03-21T20:24:13.2787475Z             aten__softmax_default_14: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten__softmax_default(aten_add_tensor_215, -1, False);  aten_add_tensor_215 = None
2025-03-21T20:24:13.2788211Z             
2025-03-21T20:24:13.2789100Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:293 in forward, code: attention_probs = self.dropout(attention_probs)
2025-03-21T20:24:13.2790497Z             aten_clone_default_43: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten__softmax_default_14);  aten__softmax_default_14 = None
2025-03-21T20:24:13.2791210Z             
2025-03-21T20:24:13.2792150Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:297 in forward, code: context_layer = torch.matmul(attention_probs, value_layer)
2025-03-21T20:24:13.2793729Z             aten_expand_copy_default_58: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_clone_default_43, [1, 4, 8, 8]);  aten_clone_default_43 = None
2025-03-21T20:24:13.2795010Z             aten_view_copy_default_578: "f32[4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_58, [4, 8, 8]);  aten_expand_copy_default_58 = None
2025-03-21T20:24:13.2796342Z             aten_expand_copy_default_59: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_288, [1, 4, 8, 32]);  aten_permute_copy_default_288 = None
2025-03-21T20:24:13.2797677Z             aten_view_copy_default_579: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_59, [4, 8, 32]);  aten_expand_copy_default_59 = None
2025-03-21T20:24:13.2799080Z             aten_bmm_default_29: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_578, aten_view_copy_default_579);  aten_view_copy_default_578 = aten_view_copy_default_579 = None
2025-03-21T20:24:13.2800435Z             aten_view_copy_default_580: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_29, [1, 4, 8, 32]);  aten_bmm_default_29 = None
2025-03-21T20:24:13.2801176Z             
2025-03-21T20:24:13.2802293Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:298 in forward, code: context_layer = context_layer.permute(0, 2, 1, 3).contiguous()
2025-03-21T20:24:13.2803910Z             aten_permute_copy_default_290: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_580, [0, 2, 1, 3]);  aten_view_copy_default_580 = None
2025-03-21T20:24:13.2805359Z             aten_clone_default_44: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_permute_copy_default_290, memory_format = torch.contiguous_format);  aten_permute_copy_default_290 = None
2025-03-21T20:24:13.2806278Z             
2025-03-21T20:24:13.2807225Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:300 in forward, code: context_layer = context_layer.view(new_context_layer_shape)
2025-03-21T20:24:13.2808778Z             aten_view_copy_default_581: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_44, [1, 8, 128]);  aten_clone_default_44 = None
2025-03-21T20:24:13.2809546Z             
2025-03-21T20:24:13.2810405Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:315 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.2811867Z             aten_view_copy_default_582: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_581, [8, 128]);  aten_view_copy_default_581 = None
2025-03-21T20:24:13.2813350Z             aten_permute_copy_default_291: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_14_attention_output_dense_weight, [1, 0]);  p_encoder_layer_14_attention_output_dense_weight = None
2025-03-21T20:24:13.2815374Z             aten_addmm_default_216: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_14_attention_output_dense_bias, aten_view_copy_default_582, aten_permute_copy_default_291);  p_encoder_layer_14_attention_output_dense_bias = aten_view_copy_default_582 = aten_permute_copy_default_291 = None
2025-03-21T20:24:13.2817162Z             aten_view_copy_default_583: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_216, [1, 8, 128]);  aten_addmm_default_216 = None
2025-03-21T20:24:13.2817933Z             
2025-03-21T20:24:13.2818895Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:318 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.2820475Z             aten_add_tensor_216: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_583, aten_add_tensor_213);  aten_view_copy_default_583 = aten_add_tensor_213 = None
2025-03-21T20:24:13.2821330Z             
2025-03-21T20:24:13.2822215Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.2823936Z             aten_mul_tensor_116: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_216, p_encoder_layer_14_attention_output_layernorm_weight);  aten_add_tensor_216 = p_encoder_layer_14_attention_output_layernorm_weight = None
2025-03-21T20:24:13.2825727Z             aten_add_tensor_217: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_116, p_encoder_layer_14_attention_output_layernorm_bias);  aten_mul_tensor_116 = p_encoder_layer_14_attention_output_layernorm_bias = None
2025-03-21T20:24:13.2826762Z             
2025-03-21T20:24:13.2827640Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.2828912Z             aten_view_copy_default_584: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_217, [8, 128])
2025-03-21T20:24:13.2830269Z             aten_permute_copy_default_292: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_14_ffn_0_intermediate_dense_weight, [1, 0]);  p_encoder_layer_14_ffn_0_intermediate_dense_weight = None
2025-03-21T20:24:13.2832291Z             aten_addmm_default_217: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_14_ffn_0_intermediate_dense_bias, aten_view_copy_default_584, aten_permute_copy_default_292);  p_encoder_layer_14_ffn_0_intermediate_dense_bias = aten_view_copy_default_584 = aten_permute_copy_default_292 = None
2025-03-21T20:24:13.2834218Z             aten_view_copy_default_585: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_217, [1, 8, 512]);  aten_addmm_default_217 = None
2025-03-21T20:24:13.2834995Z             
2025-03-21T20:24:13.2835974Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.2837426Z             aten_relu_default_56: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_585);  aten_view_copy_default_585 = None
2025-03-21T20:24:13.2838143Z             
2025-03-21T20:24:13.2839021Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.2840409Z             aten_view_copy_default_586: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_56, [8, 512]);  aten_relu_default_56 = None
2025-03-21T20:24:13.2841796Z             aten_permute_copy_default_293: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_14_ffn_0_output_dense_weight, [1, 0]);  p_encoder_layer_14_ffn_0_output_dense_weight = None
2025-03-21T20:24:13.2843706Z             aten_addmm_default_218: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_14_ffn_0_output_dense_bias, aten_view_copy_default_586, aten_permute_copy_default_293);  p_encoder_layer_14_ffn_0_output_dense_bias = aten_view_copy_default_586 = aten_permute_copy_default_293 = None
2025-03-21T20:24:13.2845447Z             aten_view_copy_default_587: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_218, [1, 8, 128]);  aten_addmm_default_218 = None
2025-03-21T20:24:13.2846225Z             
2025-03-21T20:24:13.2847189Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.2848777Z             aten_add_tensor_218: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_587, aten_add_tensor_217);  aten_view_copy_default_587 = aten_add_tensor_217 = None
2025-03-21T20:24:13.2849628Z             
2025-03-21T20:24:13.2850525Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.2852202Z             aten_mul_tensor_117: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_218, p_encoder_layer_14_ffn_0_output_layernorm_weight);  aten_add_tensor_218 = p_encoder_layer_14_ffn_0_output_layernorm_weight = None
2025-03-21T20:24:13.2853914Z             aten_add_tensor_219: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_117, p_encoder_layer_14_ffn_0_output_layernorm_bias);  aten_mul_tensor_117 = p_encoder_layer_14_ffn_0_output_layernorm_bias = None
2025-03-21T20:24:13.2854905Z             
2025-03-21T20:24:13.2855777Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.2857079Z             aten_view_copy_default_588: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_219, [8, 128])
2025-03-21T20:24:13.2858410Z             aten_permute_copy_default_294: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_14_ffn_1_intermediate_dense_weight, [1, 0]);  p_encoder_layer_14_ffn_1_intermediate_dense_weight = None
2025-03-21T20:24:13.2860444Z             aten_addmm_default_219: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_14_ffn_1_intermediate_dense_bias, aten_view_copy_default_588, aten_permute_copy_default_294);  p_encoder_layer_14_ffn_1_intermediate_dense_bias = aten_view_copy_default_588 = aten_permute_copy_default_294 = None
2025-03-21T20:24:13.2862317Z             aten_view_copy_default_589: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_219, [1, 8, 512]);  aten_addmm_default_219 = None
2025-03-21T20:24:13.2863096Z             
2025-03-21T20:24:13.2864045Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.2865470Z             aten_relu_default_57: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_589);  aten_view_copy_default_589 = None
2025-03-21T20:24:13.2866209Z             
2025-03-21T20:24:13.2867080Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.2868466Z             aten_view_copy_default_590: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_57, [8, 512]);  aten_relu_default_57 = None
2025-03-21T20:24:13.2869858Z             aten_permute_copy_default_295: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_14_ffn_1_output_dense_weight, [1, 0]);  p_encoder_layer_14_ffn_1_output_dense_weight = None
2025-03-21T20:24:13.2871764Z             aten_addmm_default_220: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_14_ffn_1_output_dense_bias, aten_view_copy_default_590, aten_permute_copy_default_295);  p_encoder_layer_14_ffn_1_output_dense_bias = aten_view_copy_default_590 = aten_permute_copy_default_295 = None
2025-03-21T20:24:13.2873589Z             aten_view_copy_default_591: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_220, [1, 8, 128]);  aten_addmm_default_220 = None
2025-03-21T20:24:13.2874371Z             
2025-03-21T20:24:13.2875323Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.2876909Z             aten_add_tensor_220: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_591, aten_add_tensor_219);  aten_view_copy_default_591 = aten_add_tensor_219 = None
2025-03-21T20:24:13.2877757Z             
2025-03-21T20:24:13.2878647Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.2880322Z             aten_mul_tensor_118: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_220, p_encoder_layer_14_ffn_1_output_layernorm_weight);  aten_add_tensor_220 = p_encoder_layer_14_ffn_1_output_layernorm_weight = None
2025-03-21T20:24:13.2882024Z             aten_add_tensor_221: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_118, p_encoder_layer_14_ffn_1_output_layernorm_bias);  aten_mul_tensor_118 = p_encoder_layer_14_ffn_1_output_layernorm_bias = None
2025-03-21T20:24:13.2883043Z             
2025-03-21T20:24:13.2883907Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.2885182Z             aten_view_copy_default_592: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_221, [8, 128])
2025-03-21T20:24:13.2886532Z             aten_permute_copy_default_296: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_14_ffn_2_intermediate_dense_weight, [1, 0]);  p_encoder_layer_14_ffn_2_intermediate_dense_weight = None
2025-03-21T20:24:13.2888575Z             aten_addmm_default_221: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_14_ffn_2_intermediate_dense_bias, aten_view_copy_default_592, aten_permute_copy_default_296);  p_encoder_layer_14_ffn_2_intermediate_dense_bias = aten_view_copy_default_592 = aten_permute_copy_default_296 = None
2025-03-21T20:24:13.2890390Z             aten_view_copy_default_593: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_221, [1, 8, 512]);  aten_addmm_default_221 = None
2025-03-21T20:24:13.2891161Z             
2025-03-21T20:24:13.2892088Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.2893507Z             aten_relu_default_58: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_593);  aten_view_copy_default_593 = None
2025-03-21T20:24:13.2894234Z             
2025-03-21T20:24:13.2895100Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.2896486Z             aten_view_copy_default_594: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_58, [8, 512]);  aten_relu_default_58 = None
2025-03-21T20:24:13.2897878Z             aten_permute_copy_default_297: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_14_ffn_2_output_dense_weight, [1, 0]);  p_encoder_layer_14_ffn_2_output_dense_weight = None
2025-03-21T20:24:13.2899771Z             aten_addmm_default_222: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_14_ffn_2_output_dense_bias, aten_view_copy_default_594, aten_permute_copy_default_297);  p_encoder_layer_14_ffn_2_output_dense_bias = aten_view_copy_default_594 = aten_permute_copy_default_297 = None
2025-03-21T20:24:13.2901506Z             aten_view_copy_default_595: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_222, [1, 8, 128]);  aten_addmm_default_222 = None
2025-03-21T20:24:13.2902454Z             
2025-03-21T20:24:13.2903425Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.2905011Z             aten_add_tensor_222: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_595, aten_add_tensor_221);  aten_view_copy_default_595 = aten_add_tensor_221 = None
2025-03-21T20:24:13.2905872Z             
2025-03-21T20:24:13.2906766Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.2908440Z             aten_mul_tensor_119: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_222, p_encoder_layer_14_ffn_2_output_layernorm_weight);  aten_add_tensor_222 = p_encoder_layer_14_ffn_2_output_layernorm_weight = None
2025-03-21T20:24:13.2910209Z             aten_add_tensor_223: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_119, p_encoder_layer_14_ffn_2_output_layernorm_bias);  aten_mul_tensor_119 = p_encoder_layer_14_ffn_2_output_layernorm_bias = None
2025-03-21T20:24:13.2911203Z             
2025-03-21T20:24:13.2912061Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.2913489Z             aten_view_copy_default_596: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_223, [8, 128])
2025-03-21T20:24:13.2914833Z             aten_permute_copy_default_298: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_14_intermediate_dense_weight, [1, 0]);  p_encoder_layer_14_intermediate_dense_weight = None
2025-03-21T20:24:13.2916835Z             aten_addmm_default_223: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_14_intermediate_dense_bias, aten_view_copy_default_596, aten_permute_copy_default_298);  p_encoder_layer_14_intermediate_dense_bias = aten_view_copy_default_596 = aten_permute_copy_default_298 = None
2025-03-21T20:24:13.2918603Z             aten_view_copy_default_597: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_223, [1, 8, 512]);  aten_addmm_default_223 = None
2025-03-21T20:24:13.2919373Z             
2025-03-21T20:24:13.2920300Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.2921720Z             aten_relu_default_59: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_597);  aten_view_copy_default_597 = None
2025-03-21T20:24:13.2922448Z             
2025-03-21T20:24:13.2923331Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:415 in forward, code: layer_output = self.dense(intermediate_states)
2025-03-21T20:24:13.2924744Z             aten_view_copy_default_598: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_59, [8, 512]);  aten_relu_default_59 = None
2025-03-21T20:24:13.2926103Z             aten_permute_copy_default_299: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_14_output_dense_weight, [1, 0]);  p_encoder_layer_14_output_dense_weight = None
2025-03-21T20:24:13.2927953Z             aten_addmm_default_224: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_14_output_dense_bias, aten_view_copy_default_598, aten_permute_copy_default_299);  p_encoder_layer_14_output_dense_bias = aten_view_copy_default_598 = aten_permute_copy_default_299 = None
2025-03-21T20:24:13.2929668Z             aten_view_copy_default_599: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_224, [1, 8, 128]);  aten_addmm_default_224 = None
2025-03-21T20:24:13.2930444Z             
2025-03-21T20:24:13.2931400Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:420 in forward, code: layer_output = self.LayerNorm(layer_output + residual_tensor_1)
2025-03-21T20:24:13.2932979Z             aten_add_tensor_224: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_599, aten_add_tensor_223);  aten_view_copy_default_599 = aten_add_tensor_223 = None
2025-03-21T20:24:13.2933834Z             
2025-03-21T20:24:13.2934715Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.2936404Z             aten_mul_tensor_120: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_224, p_encoder_layer_14_output_layernorm_weight);  aten_add_tensor_224 = p_encoder_layer_14_output_layernorm_weight = None
2025-03-21T20:24:13.2938043Z             aten_add_tensor_225: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_120, p_encoder_layer_14_output_layernorm_bias);  aten_mul_tensor_120 = p_encoder_layer_14_output_layernorm_bias = None
2025-03-21T20:24:13.2939032Z             
2025-03-21T20:24:13.2939923Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:395 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.2941308Z             aten_view_copy_default_600: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_225, [8, 128]);  aten_add_tensor_225 = None
2025-03-21T20:24:13.2942769Z             aten_permute_copy_default_300: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_14_output_bottleneck_dense_weight, [1, 0]);  p_encoder_layer_14_output_bottleneck_dense_weight = None
2025-03-21T20:24:13.2944805Z             aten_addmm_default_225: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_14_output_bottleneck_dense_bias, aten_view_copy_default_600, aten_permute_copy_default_300);  p_encoder_layer_14_output_bottleneck_dense_bias = aten_view_copy_default_600 = aten_permute_copy_default_300 = None
2025-03-21T20:24:13.2946625Z             aten_view_copy_default_601: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_225, [1, 8, 512]);  aten_addmm_default_225 = None
2025-03-21T20:24:13.2947408Z             
2025-03-21T20:24:13.2948283Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:396 in forward, code: layer_outputs = self.dropout(layer_outputs)
2025-03-21T20:24:13.2949661Z             aten_clone_default_45: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_601);  aten_view_copy_default_601 = None
2025-03-21T20:24:13.2950403Z             
2025-03-21T20:24:13.2951361Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:397 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.2952911Z             aten_add_tensor_226: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_45, aten_add_tensor_212);  aten_clone_default_45 = aten_add_tensor_212 = None
2025-03-21T20:24:13.2953815Z             
2025-03-21T20:24:13.2954697Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.2956428Z             aten_mul_tensor_121: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_226, p_encoder_layer_14_output_bottleneck_layernorm_weight);  aten_add_tensor_226 = p_encoder_layer_14_output_bottleneck_layernorm_weight = None
2025-03-21T20:24:13.2958254Z             aten_add_tensor_227: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_121, p_encoder_layer_14_output_bottleneck_layernorm_bias);  aten_mul_tensor_121 = p_encoder_layer_14_output_bottleneck_layernorm_bias = None
2025-03-21T20:24:13.2959322Z             
2025-03-21T20:24:13.2960182Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:432 in forward, code: layer_input = self.dense(hidden_states)
2025-03-21T20:24:13.2961486Z             aten_view_copy_default_602: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_227, [8, 512])
2025-03-21T20:24:13.2962821Z             aten_permute_copy_default_301: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_15_bottleneck_input_dense_weight, [1, 0]);  p_encoder_layer_15_bottleneck_input_dense_weight = None
2025-03-21T20:24:13.2964839Z             aten_addmm_default_226: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_15_bottleneck_input_dense_bias, aten_view_copy_default_602, aten_permute_copy_default_301);  p_encoder_layer_15_bottleneck_input_dense_bias = aten_view_copy_default_602 = aten_permute_copy_default_301 = None
2025-03-21T20:24:13.2966696Z             aten_view_copy_default_603: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_226, [1, 8, 128]);  aten_addmm_default_226 = None
2025-03-21T20:24:13.2967475Z             
2025-03-21T20:24:13.2968395Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.2970187Z             aten_mul_tensor_122: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_603, p_encoder_layer_15_bottleneck_input_layernorm_weight);  aten_view_copy_default_603 = p_encoder_layer_15_bottleneck_input_layernorm_weight = None
2025-03-21T20:24:13.2972066Z             aten_add_tensor_228: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_122, p_encoder_layer_15_bottleneck_input_layernorm_bias);  aten_mul_tensor_122 = p_encoder_layer_15_bottleneck_input_layernorm_bias = None
2025-03-21T20:24:13.2973118Z             
2025-03-21T20:24:13.2973981Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:432 in forward, code: layer_input = self.dense(hidden_states)
2025-03-21T20:24:13.2975268Z             aten_view_copy_default_604: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_227, [8, 512])
2025-03-21T20:24:13.2976636Z             aten_permute_copy_default_302: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_15_bottleneck_attention_dense_weight, [1, 0]);  p_encoder_layer_15_bottleneck_attention_dense_weight = None
2025-03-21T20:24:13.2978739Z             aten_addmm_default_227: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_15_bottleneck_attention_dense_bias, aten_view_copy_default_604, aten_permute_copy_default_302);  p_encoder_layer_15_bottleneck_attention_dense_bias = aten_view_copy_default_604 = aten_permute_copy_default_302 = None
2025-03-21T20:24:13.2980574Z             aten_view_copy_default_605: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_227, [1, 8, 128]);  aten_addmm_default_227 = None
2025-03-21T20:24:13.2981356Z             
2025-03-21T20:24:13.2982258Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.2984095Z             aten_mul_tensor_123: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_605, p_encoder_layer_15_bottleneck_attention_layernorm_weight);  aten_view_copy_default_605 = p_encoder_layer_15_bottleneck_attention_layernorm_weight = None
2025-03-21T20:24:13.2986029Z             aten_add_tensor_229: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_123, p_encoder_layer_15_bottleneck_attention_layernorm_bias);  aten_mul_tensor_123 = p_encoder_layer_15_bottleneck_attention_layernorm_bias = None
2025-03-21T20:24:13.2987134Z             
2025-03-21T20:24:13.2988030Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:275 in forward, code: mixed_query_layer = self.query(query_tensor)
2025-03-21T20:24:13.2989319Z             aten_view_copy_default_606: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_229, [8, 128])
2025-03-21T20:24:13.2990626Z             aten_permute_copy_default_303: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_15_attention_self_query_weight, [1, 0]);  p_encoder_layer_15_attention_self_query_weight = None
2025-03-21T20:24:13.2992656Z             aten_addmm_default_228: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_15_attention_self_query_bias, aten_view_copy_default_606, aten_permute_copy_default_303);  p_encoder_layer_15_attention_self_query_bias = aten_view_copy_default_606 = aten_permute_copy_default_303 = None
2025-03-21T20:24:13.2994519Z             aten_view_copy_default_607: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_228, [1, 8, 128]);  aten_addmm_default_228 = None
2025-03-21T20:24:13.2995329Z             
2025-03-21T20:24:13.2996195Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:276 in forward, code: mixed_key_layer = self.key(key_tensor)
2025-03-21T20:24:13.2997564Z             aten_view_copy_default_608: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_229, [8, 128]);  aten_add_tensor_229 = None
2025-03-21T20:24:13.2998956Z             aten_permute_copy_default_304: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_15_attention_self_key_weight, [1, 0]);  p_encoder_layer_15_attention_self_key_weight = None
2025-03-21T20:24:13.3000906Z             aten_addmm_default_229: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_15_attention_self_key_bias, aten_view_copy_default_608, aten_permute_copy_default_304);  p_encoder_layer_15_attention_self_key_bias = aten_view_copy_default_608 = aten_permute_copy_default_304 = None
2025-03-21T20:24:13.3002925Z             aten_view_copy_default_609: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_229, [1, 8, 128]);  aten_addmm_default_229 = None
2025-03-21T20:24:13.3003703Z             
2025-03-21T20:24:13.3004579Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:277 in forward, code: mixed_value_layer = self.value(value_tensor)
2025-03-21T20:24:13.3005881Z             aten_view_copy_default_610: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_227, [8, 512])
2025-03-21T20:24:13.3007192Z             aten_permute_copy_default_305: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_15_attention_self_value_weight, [1, 0]);  p_encoder_layer_15_attention_self_value_weight = None
2025-03-21T20:24:13.3009180Z             aten_addmm_default_230: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_15_attention_self_value_bias, aten_view_copy_default_610, aten_permute_copy_default_305);  p_encoder_layer_15_attention_self_value_bias = aten_view_copy_default_610 = aten_permute_copy_default_305 = None
2025-03-21T20:24:13.3010956Z             aten_view_copy_default_611: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_230, [1, 8, 128]);  aten_addmm_default_230 = None
2025-03-21T20:24:13.3011731Z             
2025-03-21T20:24:13.3012585Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.3014021Z             aten_view_copy_default_612: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_607, [1, 8, 4, 32]);  aten_view_copy_default_607 = None
2025-03-21T20:24:13.3014898Z             
2025-03-21T20:24:13.3015761Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.3017243Z             aten_permute_copy_default_306: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_612, [0, 2, 1, 3]);  aten_view_copy_default_612 = None
2025-03-21T20:24:13.3018122Z             
2025-03-21T20:24:13.3019001Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.3020426Z             aten_view_copy_default_613: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_609, [1, 8, 4, 32]);  aten_view_copy_default_609 = None
2025-03-21T20:24:13.3021229Z             
2025-03-21T20:24:13.3022138Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.3023610Z             aten_permute_copy_default_307: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_613, [0, 2, 1, 3]);  aten_view_copy_default_613 = None
2025-03-21T20:24:13.3024428Z             
2025-03-21T20:24:13.3025278Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.3026704Z             aten_view_copy_default_614: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_611, [1, 8, 4, 32]);  aten_view_copy_default_611 = None
2025-03-21T20:24:13.3027510Z             
2025-03-21T20:24:13.3028388Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.3029855Z             aten_permute_copy_default_308: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_614, [0, 2, 1, 3]);  aten_view_copy_default_614 = None
2025-03-21T20:24:13.3030688Z             
2025-03-21T20:24:13.3031699Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:284 in forward, code: attention_scores = torch.matmul(query_layer, key_layer.transpose(-1, -2))
2025-03-21T20:24:13.3033407Z             aten_permute_copy_default_309: "f32[1, 4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_permute_copy_default_307, [0, 1, 3, 2]);  aten_permute_copy_default_307 = None
2025-03-21T20:24:13.3034808Z             aten_expand_copy_default_60: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_306, [1, 4, 8, 32]);  aten_permute_copy_default_306 = None
2025-03-21T20:24:13.3036150Z             aten_view_copy_default_615: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_60, [4, 8, 32]);  aten_expand_copy_default_60 = None
2025-03-21T20:24:13.3037496Z             aten_expand_copy_default_61: "f32[1, 4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_309, [1, 4, 32, 8]);  aten_permute_copy_default_309 = None
2025-03-21T20:24:13.3038847Z             aten_view_copy_default_616: "f32[4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_61, [4, 32, 8]);  aten_expand_copy_default_61 = None
2025-03-21T20:24:13.3040297Z             aten_bmm_default_30: "f32[4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_615, aten_view_copy_default_616);  aten_view_copy_default_615 = aten_view_copy_default_616 = None
2025-03-21T20:24:13.3041656Z             aten_view_copy_default_617: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_30, [1, 4, 8, 8]);  aten_bmm_default_30 = None
2025-03-21T20:24:13.3042412Z             
2025-03-21T20:24:13.3043424Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:285 in forward, code: attention_scores = attention_scores / math.sqrt(self.attention_head_size)
2025-03-21T20:24:13.3045151Z             aten_div_tensor_15: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_div_Tensor(aten_view_copy_default_617, _lifted_tensor_constant18);  aten_view_copy_default_617 = _lifted_tensor_constant18 = None
2025-03-21T20:24:13.3046061Z             
2025-03-21T20:24:13.3046995Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:288 in forward, code: attention_scores = attention_scores + attention_mask
2025-03-21T20:24:13.3048394Z             aten_add_tensor_230: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_div_tensor_15, aten_mul_tensor);  aten_div_tensor_15 = None
2025-03-21T20:24:13.3049109Z             
2025-03-21T20:24:13.3050079Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:290 in forward, code: attention_probs = nn.functional.softmax(attention_scores, dim=-1)
2025-03-21T20:24:13.3051581Z             aten__softmax_default_15: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten__softmax_default(aten_add_tensor_230, -1, False);  aten_add_tensor_230 = None
2025-03-21T20:24:13.3052325Z             
2025-03-21T20:24:13.3053228Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:293 in forward, code: attention_probs = self.dropout(attention_probs)
2025-03-21T20:24:13.3054611Z             aten_clone_default_46: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten__softmax_default_15);  aten__softmax_default_15 = None
2025-03-21T20:24:13.3055331Z             
2025-03-21T20:24:13.3056271Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:297 in forward, code: context_layer = torch.matmul(attention_probs, value_layer)
2025-03-21T20:24:13.3057761Z             aten_expand_copy_default_62: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_clone_default_46, [1, 4, 8, 8]);  aten_clone_default_46 = None
2025-03-21T20:24:13.3059039Z             aten_view_copy_default_618: "f32[4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_62, [4, 8, 8]);  aten_expand_copy_default_62 = None
2025-03-21T20:24:13.3060378Z             aten_expand_copy_default_63: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_308, [1, 4, 8, 32]);  aten_permute_copy_default_308 = None
2025-03-21T20:24:13.3061710Z             aten_view_copy_default_619: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_63, [4, 8, 32]);  aten_expand_copy_default_63 = None
2025-03-21T20:24:13.3063113Z             aten_bmm_default_31: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_618, aten_view_copy_default_619);  aten_view_copy_default_618 = aten_view_copy_default_619 = None
2025-03-21T20:24:13.3064487Z             aten_view_copy_default_620: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_31, [1, 4, 8, 32]);  aten_bmm_default_31 = None
2025-03-21T20:24:13.3065277Z             
2025-03-21T20:24:13.3066234Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:298 in forward, code: context_layer = context_layer.permute(0, 2, 1, 3).contiguous()
2025-03-21T20:24:13.3067940Z             aten_permute_copy_default_310: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_620, [0, 2, 1, 3]);  aten_view_copy_default_620 = None
2025-03-21T20:24:13.3069397Z             aten_clone_default_47: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_permute_copy_default_310, memory_format = torch.contiguous_format);  aten_permute_copy_default_310 = None
2025-03-21T20:24:13.3070363Z             
2025-03-21T20:24:13.3071342Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:300 in forward, code: context_layer = context_layer.view(new_context_layer_shape)
2025-03-21T20:24:13.3072840Z             aten_view_copy_default_621: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_47, [1, 8, 128]);  aten_clone_default_47 = None
2025-03-21T20:24:13.3073742Z             
2025-03-21T20:24:13.3074629Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:315 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.3076056Z             aten_view_copy_default_622: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_621, [8, 128]);  aten_view_copy_default_621 = None
2025-03-21T20:24:13.3077544Z             aten_permute_copy_default_311: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_15_attention_output_dense_weight, [1, 0]);  p_encoder_layer_15_attention_output_dense_weight = None
2025-03-21T20:24:13.3079583Z             aten_addmm_default_231: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_15_attention_output_dense_bias, aten_view_copy_default_622, aten_permute_copy_default_311);  p_encoder_layer_15_attention_output_dense_bias = aten_view_copy_default_622 = aten_permute_copy_default_311 = None
2025-03-21T20:24:13.3081388Z             aten_view_copy_default_623: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_231, [1, 8, 128]);  aten_addmm_default_231 = None
2025-03-21T20:24:13.3082172Z             
2025-03-21T20:24:13.3083145Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:318 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.3084751Z             aten_add_tensor_231: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_623, aten_add_tensor_228);  aten_view_copy_default_623 = aten_add_tensor_228 = None
2025-03-21T20:24:13.3085614Z             
2025-03-21T20:24:13.3086508Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.3088238Z             aten_mul_tensor_124: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_231, p_encoder_layer_15_attention_output_layernorm_weight);  aten_add_tensor_231 = p_encoder_layer_15_attention_output_layernorm_weight = None
2025-03-21T20:24:13.3090051Z             aten_add_tensor_232: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_124, p_encoder_layer_15_attention_output_layernorm_bias);  aten_mul_tensor_124 = p_encoder_layer_15_attention_output_layernorm_bias = None
2025-03-21T20:24:13.3091091Z             
2025-03-21T20:24:13.3091974Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.3093290Z             aten_view_copy_default_624: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_232, [8, 128])
2025-03-21T20:24:13.3094630Z             aten_permute_copy_default_312: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_15_ffn_0_intermediate_dense_weight, [1, 0]);  p_encoder_layer_15_ffn_0_intermediate_dense_weight = None
2025-03-21T20:24:13.3096657Z             aten_addmm_default_232: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_15_ffn_0_intermediate_dense_bias, aten_view_copy_default_624, aten_permute_copy_default_312);  p_encoder_layer_15_ffn_0_intermediate_dense_bias = aten_view_copy_default_624 = aten_permute_copy_default_312 = None
2025-03-21T20:24:13.3098518Z             aten_view_copy_default_625: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_232, [1, 8, 512]);  aten_addmm_default_232 = None
2025-03-21T20:24:13.3099295Z             
2025-03-21T20:24:13.3100256Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.3101686Z             aten_relu_default_60: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_625);  aten_view_copy_default_625 = None
2025-03-21T20:24:13.3102595Z             
2025-03-21T20:24:13.3103476Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.3104879Z             aten_view_copy_default_626: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_60, [8, 512]);  aten_relu_default_60 = None
2025-03-21T20:24:13.3106276Z             aten_permute_copy_default_313: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_15_ffn_0_output_dense_weight, [1, 0]);  p_encoder_layer_15_ffn_0_output_dense_weight = None
2025-03-21T20:24:13.3108203Z             aten_addmm_default_233: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_15_ffn_0_output_dense_bias, aten_view_copy_default_626, aten_permute_copy_default_313);  p_encoder_layer_15_ffn_0_output_dense_bias = aten_view_copy_default_626 = aten_permute_copy_default_313 = None
2025-03-21T20:24:13.3109956Z             aten_view_copy_default_627: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_233, [1, 8, 128]);  aten_addmm_default_233 = None
2025-03-21T20:24:13.3110737Z             
2025-03-21T20:24:13.3111703Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.3113390Z             aten_add_tensor_233: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_627, aten_add_tensor_232);  aten_view_copy_default_627 = aten_add_tensor_232 = None
2025-03-21T20:24:13.3114243Z             
2025-03-21T20:24:13.3115123Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.3116817Z             aten_mul_tensor_125: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_233, p_encoder_layer_15_ffn_0_output_layernorm_weight);  aten_add_tensor_233 = p_encoder_layer_15_ffn_0_output_layernorm_weight = None
2025-03-21T20:24:13.3118532Z             aten_add_tensor_234: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_125, p_encoder_layer_15_ffn_0_output_layernorm_bias);  aten_mul_tensor_125 = p_encoder_layer_15_ffn_0_output_layernorm_bias = None
2025-03-21T20:24:13.3119595Z             
2025-03-21T20:24:13.3120472Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.3121751Z             aten_view_copy_default_628: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_234, [8, 128])
2025-03-21T20:24:13.3123131Z             aten_permute_copy_default_314: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_15_ffn_1_intermediate_dense_weight, [1, 0]);  p_encoder_layer_15_ffn_1_intermediate_dense_weight = None
2025-03-21T20:24:13.3125200Z             aten_addmm_default_234: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_15_ffn_1_intermediate_dense_bias, aten_view_copy_default_628, aten_permute_copy_default_314);  p_encoder_layer_15_ffn_1_intermediate_dense_bias = aten_view_copy_default_628 = aten_permute_copy_default_314 = None
2025-03-21T20:24:13.3127065Z             aten_view_copy_default_629: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_234, [1, 8, 512]);  aten_addmm_default_234 = None
2025-03-21T20:24:13.3127848Z             
2025-03-21T20:24:13.3128769Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.3130206Z             aten_relu_default_61: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_629);  aten_view_copy_default_629 = None
2025-03-21T20:24:13.3130947Z             
2025-03-21T20:24:13.3131818Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.3133219Z             aten_view_copy_default_630: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_61, [8, 512]);  aten_relu_default_61 = None
2025-03-21T20:24:13.3134625Z             aten_permute_copy_default_315: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_15_ffn_1_output_dense_weight, [1, 0]);  p_encoder_layer_15_ffn_1_output_dense_weight = None
2025-03-21T20:24:13.3136555Z             aten_addmm_default_235: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_15_ffn_1_output_dense_bias, aten_view_copy_default_630, aten_permute_copy_default_315);  p_encoder_layer_15_ffn_1_output_dense_bias = aten_view_copy_default_630 = aten_permute_copy_default_315 = None
2025-03-21T20:24:13.3138301Z             aten_view_copy_default_631: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_235, [1, 8, 128]);  aten_addmm_default_235 = None
2025-03-21T20:24:13.3139080Z             
2025-03-21T20:24:13.3140031Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.3141608Z             aten_add_tensor_235: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_631, aten_add_tensor_234);  aten_view_copy_default_631 = aten_add_tensor_234 = None
2025-03-21T20:24:13.3142464Z             
2025-03-21T20:24:13.3143358Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.3145030Z             aten_mul_tensor_126: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_235, p_encoder_layer_15_ffn_1_output_layernorm_weight);  aten_add_tensor_235 = p_encoder_layer_15_ffn_1_output_layernorm_weight = None
2025-03-21T20:24:13.3146765Z             aten_add_tensor_236: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_126, p_encoder_layer_15_ffn_1_output_layernorm_bias);  aten_mul_tensor_126 = p_encoder_layer_15_ffn_1_output_layernorm_bias = None
2025-03-21T20:24:13.3147763Z             
2025-03-21T20:24:13.3148639Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.3149950Z             aten_view_copy_default_632: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_236, [8, 128])
2025-03-21T20:24:13.3151314Z             aten_permute_copy_default_316: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_15_ffn_2_intermediate_dense_weight, [1, 0]);  p_encoder_layer_15_ffn_2_intermediate_dense_weight = None
2025-03-21T20:24:13.3153450Z             aten_addmm_default_236: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_15_ffn_2_intermediate_dense_bias, aten_view_copy_default_632, aten_permute_copy_default_316);  p_encoder_layer_15_ffn_2_intermediate_dense_bias = aten_view_copy_default_632 = aten_permute_copy_default_316 = None
2025-03-21T20:24:13.3155256Z             aten_view_copy_default_633: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_236, [1, 8, 512]);  aten_addmm_default_236 = None
2025-03-21T20:24:13.3156038Z             
2025-03-21T20:24:13.3156980Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.3158417Z             aten_relu_default_62: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_633);  aten_view_copy_default_633 = None
2025-03-21T20:24:13.3159148Z             
2025-03-21T20:24:13.3160024Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.3161412Z             aten_view_copy_default_634: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_62, [8, 512]);  aten_relu_default_62 = None
2025-03-21T20:24:13.3162809Z             aten_permute_copy_default_317: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_15_ffn_2_output_dense_weight, [1, 0]);  p_encoder_layer_15_ffn_2_output_dense_weight = None
2025-03-21T20:24:13.3164740Z             aten_addmm_default_237: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_15_ffn_2_output_dense_bias, aten_view_copy_default_634, aten_permute_copy_default_317);  p_encoder_layer_15_ffn_2_output_dense_bias = aten_view_copy_default_634 = aten_permute_copy_default_317 = None
2025-03-21T20:24:13.3166491Z             aten_view_copy_default_635: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_237, [1, 8, 128]);  aten_addmm_default_237 = None
2025-03-21T20:24:13.3167263Z             
2025-03-21T20:24:13.3168228Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.3169832Z             aten_add_tensor_237: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_635, aten_add_tensor_236);  aten_view_copy_default_635 = aten_add_tensor_236 = None
2025-03-21T20:24:13.3170694Z             
2025-03-21T20:24:13.3171613Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.3173291Z             aten_mul_tensor_127: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_237, p_encoder_layer_15_ffn_2_output_layernorm_weight);  aten_add_tensor_237 = p_encoder_layer_15_ffn_2_output_layernorm_weight = None
2025-03-21T20:24:13.3175003Z             aten_add_tensor_238: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_127, p_encoder_layer_15_ffn_2_output_layernorm_bias);  aten_mul_tensor_127 = p_encoder_layer_15_ffn_2_output_layernorm_bias = None
2025-03-21T20:24:13.3176028Z             
2025-03-21T20:24:13.3176913Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.3178198Z             aten_view_copy_default_636: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_238, [8, 128])
2025-03-21T20:24:13.3179524Z             aten_permute_copy_default_318: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_15_intermediate_dense_weight, [1, 0]);  p_encoder_layer_15_intermediate_dense_weight = None
2025-03-21T20:24:13.3181492Z             aten_addmm_default_238: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_15_intermediate_dense_bias, aten_view_copy_default_636, aten_permute_copy_default_318);  p_encoder_layer_15_intermediate_dense_bias = aten_view_copy_default_636 = aten_permute_copy_default_318 = None
2025-03-21T20:24:13.3183267Z             aten_view_copy_default_637: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_238, [1, 8, 512]);  aten_addmm_default_238 = None
2025-03-21T20:24:13.3184048Z             
2025-03-21T20:24:13.3184990Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.3186422Z             aten_relu_default_63: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_637);  aten_view_copy_default_637 = None
2025-03-21T20:24:13.3187151Z             
2025-03-21T20:24:13.3188039Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:415 in forward, code: layer_output = self.dense(intermediate_states)
2025-03-21T20:24:13.3189458Z             aten_view_copy_default_638: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_63, [8, 512]);  aten_relu_default_63 = None
2025-03-21T20:24:13.3190820Z             aten_permute_copy_default_319: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_15_output_dense_weight, [1, 0]);  p_encoder_layer_15_output_dense_weight = None
2025-03-21T20:24:13.3192684Z             aten_addmm_default_239: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_15_output_dense_bias, aten_view_copy_default_638, aten_permute_copy_default_319);  p_encoder_layer_15_output_dense_bias = aten_view_copy_default_638 = aten_permute_copy_default_319 = None
2025-03-21T20:24:13.3194483Z             aten_view_copy_default_639: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_239, [1, 8, 128]);  aten_addmm_default_239 = None
2025-03-21T20:24:13.3195264Z             
2025-03-21T20:24:13.3196232Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:420 in forward, code: layer_output = self.LayerNorm(layer_output + residual_tensor_1)
2025-03-21T20:24:13.3197853Z             aten_add_tensor_239: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_639, aten_add_tensor_238);  aten_view_copy_default_639 = aten_add_tensor_238 = None
2025-03-21T20:24:13.3198705Z             
2025-03-21T20:24:13.3199584Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.3201220Z             aten_mul_tensor_128: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_239, p_encoder_layer_15_output_layernorm_weight);  aten_add_tensor_239 = p_encoder_layer_15_output_layernorm_weight = None
2025-03-21T20:24:13.3203239Z             aten_add_tensor_240: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_128, p_encoder_layer_15_output_layernorm_bias);  aten_mul_tensor_128 = p_encoder_layer_15_output_layernorm_bias = None
2025-03-21T20:24:13.3203351Z             
2025-03-21T20:24:13.3204130Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:395 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.3204670Z             aten_view_copy_default_640: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_240, [8, 128]);  aten_add_tensor_240 = None
2025-03-21T20:24:13.3205455Z             aten_permute_copy_default_320: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_15_output_bottleneck_dense_weight, [1, 0]);  p_encoder_layer_15_output_bottleneck_dense_weight = None
2025-03-21T20:24:13.3206609Z             aten_addmm_default_240: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_15_output_bottleneck_dense_bias, aten_view_copy_default_640, aten_permute_copy_default_320);  p_encoder_layer_15_output_bottleneck_dense_bias = aten_view_copy_default_640 = aten_permute_copy_default_320 = None
2025-03-21T20:24:13.3207171Z             aten_view_copy_default_641: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_240, [1, 8, 512]);  aten_addmm_default_240 = None
2025-03-21T20:24:13.3207275Z             
2025-03-21T20:24:13.3208019Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:396 in forward, code: layer_outputs = self.dropout(layer_outputs)
2025-03-21T20:24:13.3208552Z             aten_clone_default_48: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_641);  aten_view_copy_default_641 = None
2025-03-21T20:24:13.3208647Z             
2025-03-21T20:24:13.3209473Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:397 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.3210084Z             aten_add_tensor_241: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_48, aten_add_tensor_227);  aten_clone_default_48 = aten_add_tensor_227 = None
2025-03-21T20:24:13.3210186Z             
2025-03-21T20:24:13.3210929Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.3211806Z             aten_mul_tensor_129: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_241, p_encoder_layer_15_output_bottleneck_layernorm_weight);  aten_add_tensor_241 = p_encoder_layer_15_output_bottleneck_layernorm_weight = None
2025-03-21T20:24:13.3212653Z             aten_add_tensor_242: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_129, p_encoder_layer_15_output_bottleneck_layernorm_bias);  aten_mul_tensor_129 = p_encoder_layer_15_output_bottleneck_layernorm_bias = None
2025-03-21T20:24:13.3212785Z             
2025-03-21T20:24:13.3213511Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:432 in forward, code: layer_input = self.dense(hidden_states)
2025-03-21T20:24:13.3213931Z             aten_view_copy_default_642: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_242, [8, 512])
2025-03-21T20:24:13.3214725Z             aten_permute_copy_default_321: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_16_bottleneck_input_dense_weight, [1, 0]);  p_encoder_layer_16_bottleneck_input_dense_weight = None
2025-03-21T20:24:13.3215918Z             aten_addmm_default_241: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_16_bottleneck_input_dense_bias, aten_view_copy_default_642, aten_permute_copy_default_321);  p_encoder_layer_16_bottleneck_input_dense_bias = aten_view_copy_default_642 = aten_permute_copy_default_321 = None
2025-03-21T20:24:13.3216518Z             aten_view_copy_default_643: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_241, [1, 8, 128]);  aten_addmm_default_241 = None
2025-03-21T20:24:13.3216605Z             
2025-03-21T20:24:13.3217366Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.3218282Z             aten_mul_tensor_130: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_643, p_encoder_layer_16_bottleneck_input_layernorm_weight);  aten_view_copy_default_643 = p_encoder_layer_16_bottleneck_input_layernorm_weight = None
2025-03-21T20:24:13.3219129Z             aten_add_tensor_243: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_130, p_encoder_layer_16_bottleneck_input_layernorm_bias);  aten_mul_tensor_130 = p_encoder_layer_16_bottleneck_input_layernorm_bias = None
2025-03-21T20:24:13.3219219Z             
2025-03-21T20:24:13.3219959Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:432 in forward, code: layer_input = self.dense(hidden_states)
2025-03-21T20:24:13.3220383Z             aten_view_copy_default_644: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_242, [8, 512])
2025-03-21T20:24:13.3221203Z             aten_permute_copy_default_322: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_16_bottleneck_attention_dense_weight, [1, 0]);  p_encoder_layer_16_bottleneck_attention_dense_weight = None
2025-03-21T20:24:13.3222357Z             aten_addmm_default_242: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_16_bottleneck_attention_dense_bias, aten_view_copy_default_644, aten_permute_copy_default_322);  p_encoder_layer_16_bottleneck_attention_dense_bias = aten_view_copy_default_644 = aten_permute_copy_default_322 = None
2025-03-21T20:24:13.3222927Z             aten_view_copy_default_645: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_242, [1, 8, 128]);  aten_addmm_default_242 = None
2025-03-21T20:24:13.3223015Z             
2025-03-21T20:24:13.3223780Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.3224743Z             aten_mul_tensor_131: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_645, p_encoder_layer_16_bottleneck_attention_layernorm_weight);  aten_view_copy_default_645 = p_encoder_layer_16_bottleneck_attention_layernorm_weight = None
2025-03-21T20:24:13.3235646Z             aten_add_tensor_244: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_131, p_encoder_layer_16_bottleneck_attention_layernorm_bias);  aten_mul_tensor_131 = p_encoder_layer_16_bottleneck_attention_layernorm_bias = None
2025-03-21T20:24:13.3235834Z             
2025-03-21T20:24:13.3236630Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:275 in forward, code: mixed_query_layer = self.query(query_tensor)
2025-03-21T20:24:13.3237071Z             aten_view_copy_default_646: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_244, [8, 128])
2025-03-21T20:24:13.3237949Z             aten_permute_copy_default_323: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_16_attention_self_query_weight, [1, 0]);  p_encoder_layer_16_attention_self_query_weight = None
2025-03-21T20:24:13.3239080Z             aten_addmm_default_243: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_16_attention_self_query_bias, aten_view_copy_default_646, aten_permute_copy_default_323);  p_encoder_layer_16_attention_self_query_bias = aten_view_copy_default_646 = aten_permute_copy_default_323 = None
2025-03-21T20:24:13.3239650Z             aten_view_copy_default_647: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_243, [1, 8, 128]);  aten_addmm_default_243 = None
2025-03-21T20:24:13.3239741Z             
2025-03-21T20:24:13.3240469Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:276 in forward, code: mixed_key_layer = self.key(key_tensor)
2025-03-21T20:24:13.3240995Z             aten_view_copy_default_648: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_244, [8, 128]);  aten_add_tensor_244 = None
2025-03-21T20:24:13.3241733Z             aten_permute_copy_default_324: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_16_attention_self_key_weight, [1, 0]);  p_encoder_layer_16_attention_self_key_weight = None
2025-03-21T20:24:13.3242812Z             aten_addmm_default_244: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_16_attention_self_key_bias, aten_view_copy_default_648, aten_permute_copy_default_324);  p_encoder_layer_16_attention_self_key_bias = aten_view_copy_default_648 = aten_permute_copy_default_324 = None
2025-03-21T20:24:13.3243377Z             aten_view_copy_default_649: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_244, [1, 8, 128]);  aten_addmm_default_244 = None
2025-03-21T20:24:13.3243465Z             
2025-03-21T20:24:13.3244222Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:277 in forward, code: mixed_value_layer = self.value(value_tensor)
2025-03-21T20:24:13.3244644Z             aten_view_copy_default_650: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_242, [8, 512])
2025-03-21T20:24:13.3245415Z             aten_permute_copy_default_325: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_16_attention_self_value_weight, [1, 0]);  p_encoder_layer_16_attention_self_value_weight = None
2025-03-21T20:24:13.3246509Z             aten_addmm_default_245: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_16_attention_self_value_bias, aten_view_copy_default_650, aten_permute_copy_default_325);  p_encoder_layer_16_attention_self_value_bias = aten_view_copy_default_650 = aten_permute_copy_default_325 = None
2025-03-21T20:24:13.3247078Z             aten_view_copy_default_651: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_245, [1, 8, 128]);  aten_addmm_default_245 = None
2025-03-21T20:24:13.3247192Z             
2025-03-21T20:24:13.3247915Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.3248508Z             aten_view_copy_default_652: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_647, [1, 8, 4, 32]);  aten_view_copy_default_647 = None
2025-03-21T20:24:13.3248608Z             
2025-03-21T20:24:13.3249337Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.3250027Z             aten_permute_copy_default_326: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_652, [0, 2, 1, 3]);  aten_view_copy_default_652 = None
2025-03-21T20:24:13.3250116Z             
2025-03-21T20:24:13.3250839Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.3251447Z             aten_view_copy_default_653: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_649, [1, 8, 4, 32]);  aten_view_copy_default_649 = None
2025-03-21T20:24:13.3251551Z             
2025-03-21T20:24:13.3252278Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.3252907Z             aten_permute_copy_default_327: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_653, [0, 2, 1, 3]);  aten_view_copy_default_653 = None
2025-03-21T20:24:13.3252996Z             
2025-03-21T20:24:13.3253707Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.3254300Z             aten_view_copy_default_654: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_651, [1, 8, 4, 32]);  aten_view_copy_default_651 = None
2025-03-21T20:24:13.3254389Z             
2025-03-21T20:24:13.3255123Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.3255737Z             aten_permute_copy_default_328: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_654, [0, 2, 1, 3]);  aten_view_copy_default_654 = None
2025-03-21T20:24:13.3255844Z             
2025-03-21T20:24:13.3256718Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:284 in forward, code: attention_scores = torch.matmul(query_layer, key_layer.transpose(-1, -2))
2025-03-21T20:24:13.3257374Z             aten_permute_copy_default_329: "f32[1, 4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_permute_copy_default_327, [0, 1, 3, 2]);  aten_permute_copy_default_327 = None
2025-03-21T20:24:13.3258004Z             aten_expand_copy_default_64: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_326, [1, 4, 8, 32]);  aten_permute_copy_default_326 = None
2025-03-21T20:24:13.3258609Z             aten_view_copy_default_655: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_64, [4, 8, 32]);  aten_expand_copy_default_64 = None
2025-03-21T20:24:13.3259237Z             aten_expand_copy_default_65: "f32[1, 4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_329, [1, 4, 32, 8]);  aten_permute_copy_default_329 = None
2025-03-21T20:24:13.3259866Z             aten_view_copy_default_656: "f32[4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_65, [4, 32, 8]);  aten_expand_copy_default_65 = None
2025-03-21T20:24:13.3260567Z             aten_bmm_default_32: "f32[4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_655, aten_view_copy_default_656);  aten_view_copy_default_655 = aten_view_copy_default_656 = None
2025-03-21T20:24:13.3261111Z             aten_view_copy_default_657: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_32, [1, 4, 8, 8]);  aten_bmm_default_32 = None
2025-03-21T20:24:13.3261222Z             
2025-03-21T20:24:13.3262114Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:285 in forward, code: attention_scores = attention_scores / math.sqrt(self.attention_head_size)
2025-03-21T20:24:13.3262830Z             aten_div_tensor_16: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_div_Tensor(aten_view_copy_default_657, _lifted_tensor_constant19);  aten_view_copy_default_657 = _lifted_tensor_constant19 = None
2025-03-21T20:24:13.3262928Z             
2025-03-21T20:24:13.3263698Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:288 in forward, code: attention_scores = attention_scores + attention_mask
2025-03-21T20:24:13.3264195Z             aten_add_tensor_245: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_div_tensor_16, aten_mul_tensor);  aten_div_tensor_16 = None
2025-03-21T20:24:13.3264290Z             
2025-03-21T20:24:13.3265126Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:290 in forward, code: attention_probs = nn.functional.softmax(attention_scores, dim=-1)
2025-03-21T20:24:13.3265666Z             aten__softmax_default_16: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten__softmax_default(aten_add_tensor_245, -1, False);  aten_add_tensor_245 = None
2025-03-21T20:24:13.3265761Z             
2025-03-21T20:24:13.3266527Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:293 in forward, code: attention_probs = self.dropout(attention_probs)
2025-03-21T20:24:13.3267027Z             aten_clone_default_49: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten__softmax_default_16);  aten__softmax_default_16 = None
2025-03-21T20:24:13.3267122Z             
2025-03-21T20:24:13.3267918Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:297 in forward, code: context_layer = torch.matmul(attention_probs, value_layer)
2025-03-21T20:24:13.3268492Z             aten_expand_copy_default_66: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_clone_default_49, [1, 4, 8, 8]);  aten_clone_default_49 = None
2025-03-21T20:24:13.3269075Z             aten_view_copy_default_658: "f32[4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_66, [4, 8, 8]);  aten_expand_copy_default_66 = None
2025-03-21T20:24:13.3269707Z             aten_expand_copy_default_67: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_328, [1, 4, 8, 32]);  aten_permute_copy_default_328 = None
2025-03-21T20:24:13.3270294Z             aten_view_copy_default_659: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_67, [4, 8, 32]);  aten_expand_copy_default_67 = None
2025-03-21T20:24:13.3270993Z             aten_bmm_default_33: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_658, aten_view_copy_default_659);  aten_view_copy_default_658 = aten_view_copy_default_659 = None
2025-03-21T20:24:13.3271562Z             aten_view_copy_default_660: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_33, [1, 4, 8, 32]);  aten_bmm_default_33 = None
2025-03-21T20:24:13.3271658Z             
2025-03-21T20:24:13.3272468Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:298 in forward, code: context_layer = context_layer.permute(0, 2, 1, 3).contiguous()
2025-03-21T20:24:13.3273198Z             aten_permute_copy_default_330: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_660, [0, 2, 1, 3]);  aten_view_copy_default_660 = None
2025-03-21T20:24:13.3273945Z             aten_clone_default_50: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_permute_copy_default_330, memory_format = torch.contiguous_format);  aten_permute_copy_default_330 = None
2025-03-21T20:24:13.3274038Z             
2025-03-21T20:24:13.3274910Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:300 in forward, code: context_layer = context_layer.view(new_context_layer_shape)
2025-03-21T20:24:13.3275468Z             aten_view_copy_default_661: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_50, [1, 8, 128]);  aten_clone_default_50 = None
2025-03-21T20:24:13.3275569Z             
2025-03-21T20:24:13.3276301Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:315 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.3276894Z             aten_view_copy_default_662: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_661, [8, 128]);  aten_view_copy_default_661 = None
2025-03-21T20:24:13.3277672Z             aten_permute_copy_default_331: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_16_attention_output_dense_weight, [1, 0]);  p_encoder_layer_16_attention_output_dense_weight = None
2025-03-21T20:24:13.3278803Z             aten_addmm_default_246: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_16_attention_output_dense_bias, aten_view_copy_default_662, aten_permute_copy_default_331);  p_encoder_layer_16_attention_output_dense_bias = aten_view_copy_default_662 = aten_permute_copy_default_331 = None
2025-03-21T20:24:13.3279364Z             aten_view_copy_default_663: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_246, [1, 8, 128]);  aten_addmm_default_246 = None
2025-03-21T20:24:13.3279463Z             
2025-03-21T20:24:13.3280291Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:318 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.3280943Z             aten_add_tensor_246: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_663, aten_add_tensor_243);  aten_view_copy_default_663 = aten_add_tensor_243 = None
2025-03-21T20:24:13.3281034Z             
2025-03-21T20:24:13.3281788Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.3282638Z             aten_mul_tensor_132: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_246, p_encoder_layer_16_attention_output_layernorm_weight);  aten_add_tensor_246 = p_encoder_layer_16_attention_output_layernorm_weight = None
2025-03-21T20:24:13.3283485Z             aten_add_tensor_247: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_132, p_encoder_layer_16_attention_output_layernorm_bias);  aten_mul_tensor_132 = p_encoder_layer_16_attention_output_layernorm_bias = None
2025-03-21T20:24:13.3283604Z             
2025-03-21T20:24:13.3284355Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.3284775Z             aten_view_copy_default_664: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_247, [8, 128])
2025-03-21T20:24:13.3285598Z             aten_permute_copy_default_332: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_16_ffn_0_intermediate_dense_weight, [1, 0]);  p_encoder_layer_16_ffn_0_intermediate_dense_weight = None
2025-03-21T20:24:13.3286747Z             aten_addmm_default_247: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_16_ffn_0_intermediate_dense_bias, aten_view_copy_default_664, aten_permute_copy_default_332);  p_encoder_layer_16_ffn_0_intermediate_dense_bias = aten_view_copy_default_664 = aten_permute_copy_default_332 = None
2025-03-21T20:24:13.3287347Z             aten_view_copy_default_665: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_247, [1, 8, 512]);  aten_addmm_default_247 = None
2025-03-21T20:24:13.3287435Z             
2025-03-21T20:24:13.3288230Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.3288756Z             aten_relu_default_64: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_665);  aten_view_copy_default_665 = None
2025-03-21T20:24:13.3288849Z             
2025-03-21T20:24:13.3289591Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.3290126Z             aten_view_copy_default_666: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_64, [8, 512]);  aten_relu_default_64 = None
2025-03-21T20:24:13.3290871Z             aten_permute_copy_default_333: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_16_ffn_0_output_dense_weight, [1, 0]);  p_encoder_layer_16_ffn_0_output_dense_weight = None
2025-03-21T20:24:13.3291935Z             aten_addmm_default_248: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_16_ffn_0_output_dense_bias, aten_view_copy_default_666, aten_permute_copy_default_333);  p_encoder_layer_16_ffn_0_output_dense_bias = aten_view_copy_default_666 = aten_permute_copy_default_333 = None
2025-03-21T20:24:13.3292502Z             aten_view_copy_default_667: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_248, [1, 8, 128]);  aten_addmm_default_248 = None
2025-03-21T20:24:13.3292592Z             
2025-03-21T20:24:13.3293435Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.3294072Z             aten_add_tensor_248: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_667, aten_add_tensor_247);  aten_view_copy_default_667 = aten_add_tensor_247 = None
2025-03-21T20:24:13.3294176Z             
2025-03-21T20:24:13.3294928Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.3295744Z             aten_mul_tensor_133: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_248, p_encoder_layer_16_ffn_0_output_layernorm_weight);  aten_add_tensor_248 = p_encoder_layer_16_ffn_0_output_layernorm_weight = None
2025-03-21T20:24:13.3296556Z             aten_add_tensor_249: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_133, p_encoder_layer_16_ffn_0_output_layernorm_bias);  aten_mul_tensor_133 = p_encoder_layer_16_ffn_0_output_layernorm_bias = None
2025-03-21T20:24:13.3296656Z             
2025-03-21T20:24:13.3297391Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.3297847Z             aten_view_copy_default_668: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_249, [8, 128])
2025-03-21T20:24:13.3298658Z             aten_permute_copy_default_334: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_16_ffn_1_intermediate_dense_weight, [1, 0]);  p_encoder_layer_16_ffn_1_intermediate_dense_weight = None
2025-03-21T20:24:13.3299819Z             aten_addmm_default_249: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_16_ffn_1_intermediate_dense_bias, aten_view_copy_default_668, aten_permute_copy_default_334);  p_encoder_layer_16_ffn_1_intermediate_dense_bias = aten_view_copy_default_668 = aten_permute_copy_default_334 = None
2025-03-21T20:24:13.3300382Z             aten_view_copy_default_669: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_249, [1, 8, 512]);  aten_addmm_default_249 = None
2025-03-21T20:24:13.3300481Z             
2025-03-21T20:24:13.3301272Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.3301797Z             aten_relu_default_65: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_669);  aten_view_copy_default_669 = None
2025-03-21T20:24:13.3301885Z             
2025-03-21T20:24:13.3302784Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.3303328Z             aten_view_copy_default_670: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_65, [8, 512]);  aten_relu_default_65 = None
2025-03-21T20:24:13.3304059Z             aten_permute_copy_default_335: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_16_ffn_1_output_dense_weight, [1, 0]);  p_encoder_layer_16_ffn_1_output_dense_weight = None
2025-03-21T20:24:13.3305136Z             aten_addmm_default_250: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_16_ffn_1_output_dense_bias, aten_view_copy_default_670, aten_permute_copy_default_335);  p_encoder_layer_16_ffn_1_output_dense_bias = aten_view_copy_default_670 = aten_permute_copy_default_335 = None
2025-03-21T20:24:13.3305695Z             aten_view_copy_default_671: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_250, [1, 8, 128]);  aten_addmm_default_250 = None
2025-03-21T20:24:13.3305802Z             
2025-03-21T20:24:13.3306626Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.3307281Z             aten_add_tensor_250: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_671, aten_add_tensor_249);  aten_view_copy_default_671 = aten_add_tensor_249 = None
2025-03-21T20:24:13.3307372Z             
2025-03-21T20:24:13.3308198Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.3309006Z             aten_mul_tensor_134: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_250, p_encoder_layer_16_ffn_1_output_layernorm_weight);  aten_add_tensor_250 = p_encoder_layer_16_ffn_1_output_layernorm_weight = None
2025-03-21T20:24:13.3309803Z             aten_add_tensor_251: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_134, p_encoder_layer_16_ffn_1_output_layernorm_bias);  aten_mul_tensor_134 = p_encoder_layer_16_ffn_1_output_layernorm_bias = None
2025-03-21T20:24:13.3309930Z             
2025-03-21T20:24:13.3310702Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.3311126Z             aten_view_copy_default_672: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_251, [8, 128])
2025-03-21T20:24:13.3311957Z             aten_permute_copy_default_336: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_16_ffn_2_intermediate_dense_weight, [1, 0]);  p_encoder_layer_16_ffn_2_intermediate_dense_weight = None
2025-03-21T20:24:13.3313156Z             aten_addmm_default_251: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_16_ffn_2_intermediate_dense_bias, aten_view_copy_default_672, aten_permute_copy_default_336);  p_encoder_layer_16_ffn_2_intermediate_dense_bias = aten_view_copy_default_672 = aten_permute_copy_default_336 = None
2025-03-21T20:24:13.3313729Z             aten_view_copy_default_673: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_251, [1, 8, 512]);  aten_addmm_default_251 = None
2025-03-21T20:24:13.3313822Z             
2025-03-21T20:24:13.3314620Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.3315137Z             aten_relu_default_66: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_673);  aten_view_copy_default_673 = None
2025-03-21T20:24:13.3315240Z             
2025-03-21T20:24:13.3315968Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.3316510Z             aten_view_copy_default_674: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_66, [8, 512]);  aten_relu_default_66 = None
2025-03-21T20:24:13.3317246Z             aten_permute_copy_default_337: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_16_ffn_2_output_dense_weight, [1, 0]);  p_encoder_layer_16_ffn_2_output_dense_weight = None
2025-03-21T20:24:13.3318318Z             aten_addmm_default_252: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_16_ffn_2_output_dense_bias, aten_view_copy_default_674, aten_permute_copy_default_337);  p_encoder_layer_16_ffn_2_output_dense_bias = aten_view_copy_default_674 = aten_permute_copy_default_337 = None
2025-03-21T20:24:13.3319002Z             aten_view_copy_default_675: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_252, [1, 8, 128]);  aten_addmm_default_252 = None
2025-03-21T20:24:13.3319097Z             
2025-03-21T20:24:13.3319941Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.3320618Z             aten_add_tensor_252: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_675, aten_add_tensor_251);  aten_view_copy_default_675 = aten_add_tensor_251 = None
2025-03-21T20:24:13.3320724Z             
2025-03-21T20:24:13.3321471Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.3322294Z             aten_mul_tensor_135: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_252, p_encoder_layer_16_ffn_2_output_layernorm_weight);  aten_add_tensor_252 = p_encoder_layer_16_ffn_2_output_layernorm_weight = None
2025-03-21T20:24:13.3323132Z             aten_add_tensor_253: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_135, p_encoder_layer_16_ffn_2_output_layernorm_bias);  aten_mul_tensor_135 = p_encoder_layer_16_ffn_2_output_layernorm_bias = None
2025-03-21T20:24:13.3323235Z             
2025-03-21T20:24:13.3323993Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.3324428Z             aten_view_copy_default_676: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_253, [8, 128])
2025-03-21T20:24:13.3325172Z             aten_permute_copy_default_338: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_16_intermediate_dense_weight, [1, 0]);  p_encoder_layer_16_intermediate_dense_weight = None
2025-03-21T20:24:13.3326278Z             aten_addmm_default_253: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_16_intermediate_dense_bias, aten_view_copy_default_676, aten_permute_copy_default_338);  p_encoder_layer_16_intermediate_dense_bias = aten_view_copy_default_676 = aten_permute_copy_default_338 = None
2025-03-21T20:24:13.3326843Z             aten_view_copy_default_677: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_253, [1, 8, 512]);  aten_addmm_default_253 = None
2025-03-21T20:24:13.3326941Z             
2025-03-21T20:24:13.3327732Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.3328252Z             aten_relu_default_67: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_677);  aten_view_copy_default_677 = None
2025-03-21T20:24:13.3328345Z             
2025-03-21T20:24:13.3329105Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:415 in forward, code: layer_output = self.dense(intermediate_states)
2025-03-21T20:24:13.3329644Z             aten_view_copy_default_678: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_67, [8, 512]);  aten_relu_default_67 = None
2025-03-21T20:24:13.3330359Z             aten_permute_copy_default_339: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_16_output_dense_weight, [1, 0]);  p_encoder_layer_16_output_dense_weight = None
2025-03-21T20:24:13.3331378Z             aten_addmm_default_254: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_16_output_dense_bias, aten_view_copy_default_678, aten_permute_copy_default_339);  p_encoder_layer_16_output_dense_bias = aten_view_copy_default_678 = aten_permute_copy_default_339 = None
2025-03-21T20:24:13.3331947Z             aten_view_copy_default_679: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_254, [1, 8, 128]);  aten_addmm_default_254 = None
2025-03-21T20:24:13.3332061Z             
2025-03-21T20:24:13.3332879Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:420 in forward, code: layer_output = self.LayerNorm(layer_output + residual_tensor_1)
2025-03-21T20:24:13.3333524Z             aten_add_tensor_254: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_679, aten_add_tensor_253);  aten_view_copy_default_679 = aten_add_tensor_253 = None
2025-03-21T20:24:13.3333616Z             
2025-03-21T20:24:13.3334395Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.3335185Z             aten_mul_tensor_136: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_254, p_encoder_layer_16_output_layernorm_weight);  aten_add_tensor_254 = p_encoder_layer_16_output_layernorm_weight = None
2025-03-21T20:24:13.3335970Z             aten_add_tensor_255: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_136, p_encoder_layer_16_output_layernorm_bias);  aten_mul_tensor_136 = p_encoder_layer_16_output_layernorm_bias = None
2025-03-21T20:24:13.3336061Z             
2025-03-21T20:24:13.3336805Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:395 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.3337332Z             aten_view_copy_default_680: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_255, [8, 128]);  aten_add_tensor_255 = None
2025-03-21T20:24:13.3338130Z             aten_permute_copy_default_340: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_16_output_bottleneck_dense_weight, [1, 0]);  p_encoder_layer_16_output_bottleneck_dense_weight = None
2025-03-21T20:24:13.3339255Z             aten_addmm_default_255: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_16_output_bottleneck_dense_bias, aten_view_copy_default_680, aten_permute_copy_default_340);  p_encoder_layer_16_output_bottleneck_dense_bias = aten_view_copy_default_680 = aten_permute_copy_default_340 = None
2025-03-21T20:24:13.3339825Z             aten_view_copy_default_681: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_255, [1, 8, 512]);  aten_addmm_default_255 = None
2025-03-21T20:24:13.3339920Z             
2025-03-21T20:24:13.3340664Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:396 in forward, code: layer_outputs = self.dropout(layer_outputs)
2025-03-21T20:24:13.3341190Z             aten_clone_default_51: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_681);  aten_view_copy_default_681 = None
2025-03-21T20:24:13.3341295Z             
2025-03-21T20:24:13.3342118Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:397 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.3342733Z             aten_add_tensor_256: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_51, aten_add_tensor_242);  aten_clone_default_51 = aten_add_tensor_242 = None
2025-03-21T20:24:13.3342822Z             
2025-03-21T20:24:13.3343566Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.3344441Z             aten_mul_tensor_137: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_256, p_encoder_layer_16_output_bottleneck_layernorm_weight);  aten_add_tensor_256 = p_encoder_layer_16_output_bottleneck_layernorm_weight = None
2025-03-21T20:24:13.3345323Z             aten_add_tensor_257: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_137, p_encoder_layer_16_output_bottleneck_layernorm_bias);  aten_mul_tensor_137 = p_encoder_layer_16_output_bottleneck_layernorm_bias = None
2025-03-21T20:24:13.3345409Z             
2025-03-21T20:24:13.3346133Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:432 in forward, code: layer_input = self.dense(hidden_states)
2025-03-21T20:24:13.3346592Z             aten_view_copy_default_682: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_257, [8, 512])
2025-03-21T20:24:13.3347388Z             aten_permute_copy_default_341: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_17_bottleneck_input_dense_weight, [1, 0]);  p_encoder_layer_17_bottleneck_input_dense_weight = None
2025-03-21T20:24:13.3348544Z             aten_addmm_default_256: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_17_bottleneck_input_dense_bias, aten_view_copy_default_682, aten_permute_copy_default_341);  p_encoder_layer_17_bottleneck_input_dense_bias = aten_view_copy_default_682 = aten_permute_copy_default_341 = None
2025-03-21T20:24:13.3349104Z             aten_view_copy_default_683: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_256, [1, 8, 128]);  aten_addmm_default_256 = None
2025-03-21T20:24:13.3349207Z             
2025-03-21T20:24:13.3349960Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.3350887Z             aten_mul_tensor_138: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_683, p_encoder_layer_17_bottleneck_input_layernorm_weight);  aten_view_copy_default_683 = p_encoder_layer_17_bottleneck_input_layernorm_weight = None
2025-03-21T20:24:13.3351718Z             aten_add_tensor_258: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_138, p_encoder_layer_17_bottleneck_input_layernorm_bias);  aten_mul_tensor_138 = p_encoder_layer_17_bottleneck_input_layernorm_bias = None
2025-03-21T20:24:13.3351824Z             
2025-03-21T20:24:13.3352550Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:432 in forward, code: layer_input = self.dense(hidden_states)
2025-03-21T20:24:13.3353071Z             aten_view_copy_default_684: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_257, [8, 512])
2025-03-21T20:24:13.3353888Z             aten_permute_copy_default_342: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_17_bottleneck_attention_dense_weight, [1, 0]);  p_encoder_layer_17_bottleneck_attention_dense_weight = None
2025-03-21T20:24:13.3355061Z             aten_addmm_default_257: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_17_bottleneck_attention_dense_bias, aten_view_copy_default_684, aten_permute_copy_default_342);  p_encoder_layer_17_bottleneck_attention_dense_bias = aten_view_copy_default_684 = aten_permute_copy_default_342 = None
2025-03-21T20:24:13.3355619Z             aten_view_copy_default_685: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_257, [1, 8, 128]);  aten_addmm_default_257 = None
2025-03-21T20:24:13.3355721Z             
2025-03-21T20:24:13.3356467Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.3357457Z             aten_mul_tensor_139: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_685, p_encoder_layer_17_bottleneck_attention_layernorm_weight);  aten_view_copy_default_685 = p_encoder_layer_17_bottleneck_attention_layernorm_weight = None
2025-03-21T20:24:13.3358320Z             aten_add_tensor_259: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_139, p_encoder_layer_17_bottleneck_attention_layernorm_bias);  aten_mul_tensor_139 = p_encoder_layer_17_bottleneck_attention_layernorm_bias = None
2025-03-21T20:24:13.3358446Z             
2025-03-21T20:24:13.3359186Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:275 in forward, code: mixed_query_layer = self.query(query_tensor)
2025-03-21T20:24:13.3359643Z             aten_view_copy_default_686: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_259, [8, 128])
2025-03-21T20:24:13.3360425Z             aten_permute_copy_default_343: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_17_attention_self_query_weight, [1, 0]);  p_encoder_layer_17_attention_self_query_weight = None
2025-03-21T20:24:13.3361524Z             aten_addmm_default_258: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_17_attention_self_query_bias, aten_view_copy_default_686, aten_permute_copy_default_343);  p_encoder_layer_17_attention_self_query_bias = aten_view_copy_default_686 = aten_permute_copy_default_343 = None
2025-03-21T20:24:13.3362087Z             aten_view_copy_default_687: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_258, [1, 8, 128]);  aten_addmm_default_258 = None
2025-03-21T20:24:13.3362191Z             
2025-03-21T20:24:13.3362915Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:276 in forward, code: mixed_key_layer = self.key(key_tensor)
2025-03-21T20:24:13.3363457Z             aten_view_copy_default_688: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_259, [8, 128]);  aten_add_tensor_259 = None
2025-03-21T20:24:13.3364195Z             aten_permute_copy_default_344: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_17_attention_self_key_weight, [1, 0]);  p_encoder_layer_17_attention_self_key_weight = None
2025-03-21T20:24:13.3365280Z             aten_addmm_default_259: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_17_attention_self_key_bias, aten_view_copy_default_688, aten_permute_copy_default_344);  p_encoder_layer_17_attention_self_key_bias = aten_view_copy_default_688 = aten_permute_copy_default_344 = None
2025-03-21T20:24:13.3365838Z             aten_view_copy_default_689: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_259, [1, 8, 128]);  aten_addmm_default_259 = None
2025-03-21T20:24:13.3365947Z             
2025-03-21T20:24:13.3366695Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:277 in forward, code: mixed_value_layer = self.value(value_tensor)
2025-03-21T20:24:13.3367117Z             aten_view_copy_default_690: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_257, [8, 512])
2025-03-21T20:24:13.3367879Z             aten_permute_copy_default_345: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_17_attention_self_value_weight, [1, 0]);  p_encoder_layer_17_attention_self_value_weight = None
2025-03-21T20:24:13.3368993Z             aten_addmm_default_260: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_17_attention_self_value_bias, aten_view_copy_default_690, aten_permute_copy_default_345);  p_encoder_layer_17_attention_self_value_bias = aten_view_copy_default_690 = aten_permute_copy_default_345 = None
2025-03-21T20:24:13.3369577Z             aten_view_copy_default_691: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_260, [1, 8, 128]);  aten_addmm_default_260 = None
2025-03-21T20:24:13.3369665Z             
2025-03-21T20:24:13.3370398Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.3371022Z             aten_view_copy_default_692: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_687, [1, 8, 4, 32]);  aten_view_copy_default_687 = None
2025-03-21T20:24:13.3371127Z             
2025-03-21T20:24:13.3371876Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.3372528Z             aten_permute_copy_default_346: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_692, [0, 2, 1, 3]);  aten_view_copy_default_692 = None
2025-03-21T20:24:13.3372618Z             
2025-03-21T20:24:13.3373340Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.3373919Z             aten_view_copy_default_693: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_689, [1, 8, 4, 32]);  aten_view_copy_default_689 = None
2025-03-21T20:24:13.3374018Z             
2025-03-21T20:24:13.3374740Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.3375367Z             aten_permute_copy_default_347: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_693, [0, 2, 1, 3]);  aten_view_copy_default_693 = None
2025-03-21T20:24:13.3375456Z             
2025-03-21T20:24:13.3376165Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.3376757Z             aten_view_copy_default_694: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_691, [1, 8, 4, 32]);  aten_view_copy_default_691 = None
2025-03-21T20:24:13.3376846Z             
2025-03-21T20:24:13.3377589Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.3378198Z             aten_permute_copy_default_348: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_694, [0, 2, 1, 3]);  aten_view_copy_default_694 = None
2025-03-21T20:24:13.3378298Z             
2025-03-21T20:24:13.3379163Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:284 in forward, code: attention_scores = torch.matmul(query_layer, key_layer.transpose(-1, -2))
2025-03-21T20:24:13.3379812Z             aten_permute_copy_default_349: "f32[1, 4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_permute_copy_default_347, [0, 1, 3, 2]);  aten_permute_copy_default_347 = None
2025-03-21T20:24:13.3380438Z             aten_expand_copy_default_68: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_346, [1, 4, 8, 32]);  aten_permute_copy_default_346 = None
2025-03-21T20:24:13.3381033Z             aten_view_copy_default_695: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_68, [4, 8, 32]);  aten_expand_copy_default_68 = None
2025-03-21T20:24:13.3381682Z             aten_expand_copy_default_69: "f32[1, 4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_349, [1, 4, 32, 8]);  aten_permute_copy_default_349 = None
2025-03-21T20:24:13.3382280Z             aten_view_copy_default_696: "f32[4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_69, [4, 32, 8]);  aten_expand_copy_default_69 = None
2025-03-21T20:24:13.3383006Z             aten_bmm_default_34: "f32[4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_695, aten_view_copy_default_696);  aten_view_copy_default_695 = aten_view_copy_default_696 = None
2025-03-21T20:24:13.3383581Z             aten_view_copy_default_697: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_34, [1, 4, 8, 8]);  aten_bmm_default_34 = None
2025-03-21T20:24:13.3383676Z             
2025-03-21T20:24:13.3384578Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:285 in forward, code: attention_scores = attention_scores / math.sqrt(self.attention_head_size)
2025-03-21T20:24:13.3385268Z             aten_div_tensor_17: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_div_Tensor(aten_view_copy_default_697, _lifted_tensor_constant20);  aten_view_copy_default_697 = _lifted_tensor_constant20 = None
2025-03-21T20:24:13.3385372Z             
2025-03-21T20:24:13.3386145Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:288 in forward, code: attention_scores = attention_scores + attention_mask
2025-03-21T20:24:13.3386650Z             aten_add_tensor_260: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_div_tensor_17, aten_mul_tensor);  aten_div_tensor_17 = None
2025-03-21T20:24:13.3386743Z             
2025-03-21T20:24:13.3387571Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:290 in forward, code: attention_probs = nn.functional.softmax(attention_scores, dim=-1)
2025-03-21T20:24:13.3388111Z             aten__softmax_default_17: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten__softmax_default(aten_add_tensor_260, -1, False);  aten_add_tensor_260 = None
2025-03-21T20:24:13.3388199Z             
2025-03-21T20:24:13.3388965Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:293 in forward, code: attention_probs = self.dropout(attention_probs)
2025-03-21T20:24:13.3389464Z             aten_clone_default_52: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten__softmax_default_17);  aten__softmax_default_17 = None
2025-03-21T20:24:13.3389561Z             
2025-03-21T20:24:13.3390353Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:297 in forward, code: context_layer = torch.matmul(attention_probs, value_layer)
2025-03-21T20:24:13.3390932Z             aten_expand_copy_default_70: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_clone_default_52, [1, 4, 8, 8]);  aten_clone_default_52 = None
2025-03-21T20:24:13.3391515Z             aten_view_copy_default_698: "f32[4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_70, [4, 8, 8]);  aten_expand_copy_default_70 = None
2025-03-21T20:24:13.3392151Z             aten_expand_copy_default_71: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_348, [1, 4, 8, 32]);  aten_permute_copy_default_348 = None
2025-03-21T20:24:13.3392739Z             aten_view_copy_default_699: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_71, [4, 8, 32]);  aten_expand_copy_default_71 = None
2025-03-21T20:24:13.3393553Z             aten_bmm_default_35: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_698, aten_view_copy_default_699);  aten_view_copy_default_698 = aten_view_copy_default_699 = None
2025-03-21T20:24:13.3394098Z             aten_view_copy_default_700: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_35, [1, 4, 8, 32]);  aten_bmm_default_35 = None
2025-03-21T20:24:13.3394229Z             
2025-03-21T20:24:13.3395042Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:298 in forward, code: context_layer = context_layer.permute(0, 2, 1, 3).contiguous()
2025-03-21T20:24:13.3395690Z             aten_permute_copy_default_350: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_700, [0, 2, 1, 3]);  aten_view_copy_default_700 = None
2025-03-21T20:24:13.3396428Z             aten_clone_default_53: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_permute_copy_default_350, memory_format = torch.contiguous_format);  aten_permute_copy_default_350 = None
2025-03-21T20:24:13.3396521Z             
2025-03-21T20:24:13.3397334Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:300 in forward, code: context_layer = context_layer.view(new_context_layer_shape)
2025-03-21T20:24:13.3397893Z             aten_view_copy_default_701: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_53, [1, 8, 128]);  aten_clone_default_53 = None
2025-03-21T20:24:13.3397992Z             
2025-03-21T20:24:13.3398723Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:315 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.3399424Z             aten_view_copy_default_702: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_701, [8, 128]);  aten_view_copy_default_701 = None
2025-03-21T20:24:13.3400200Z             aten_permute_copy_default_351: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_17_attention_output_dense_weight, [1, 0]);  p_encoder_layer_17_attention_output_dense_weight = None
2025-03-21T20:24:13.3401337Z             aten_addmm_default_261: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_17_attention_output_dense_bias, aten_view_copy_default_702, aten_permute_copy_default_351);  p_encoder_layer_17_attention_output_dense_bias = aten_view_copy_default_702 = aten_permute_copy_default_351 = None
2025-03-21T20:24:13.3401901Z             aten_view_copy_default_703: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_261, [1, 8, 128]);  aten_addmm_default_261 = None
2025-03-21T20:24:13.3402002Z             
2025-03-21T20:24:13.3403013Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:318 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.3403668Z             aten_add_tensor_261: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_703, aten_add_tensor_258);  aten_view_copy_default_703 = aten_add_tensor_258 = None
2025-03-21T20:24:13.3403758Z             
2025-03-21T20:24:13.3404514Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.3405369Z             aten_mul_tensor_140: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_261, p_encoder_layer_17_attention_output_layernorm_weight);  aten_add_tensor_261 = p_encoder_layer_17_attention_output_layernorm_weight = None
2025-03-21T20:24:13.3406271Z             aten_add_tensor_262: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_140, p_encoder_layer_17_attention_output_layernorm_bias);  aten_mul_tensor_140 = p_encoder_layer_17_attention_output_layernorm_bias = None
2025-03-21T20:24:13.3406361Z             
2025-03-21T20:24:13.3407102Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.3407562Z             aten_view_copy_default_704: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_262, [8, 128])
2025-03-21T20:24:13.3408392Z             aten_permute_copy_default_352: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_17_ffn_0_intermediate_dense_weight, [1, 0]);  p_encoder_layer_17_ffn_0_intermediate_dense_weight = None
2025-03-21T20:24:13.3409551Z             aten_addmm_default_262: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_17_ffn_0_intermediate_dense_bias, aten_view_copy_default_704, aten_permute_copy_default_352);  p_encoder_layer_17_ffn_0_intermediate_dense_bias = aten_view_copy_default_704 = aten_permute_copy_default_352 = None
2025-03-21T20:24:13.3410301Z             aten_view_copy_default_705: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_262, [1, 8, 512]);  aten_addmm_default_262 = None
2025-03-21T20:24:13.3410404Z             
2025-03-21T20:24:13.3411215Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.3411732Z             aten_relu_default_68: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_705);  aten_view_copy_default_705 = None
2025-03-21T20:24:13.3411825Z             
2025-03-21T20:24:13.3412574Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.3413108Z             aten_view_copy_default_706: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_68, [8, 512]);  aten_relu_default_68 = None
2025-03-21T20:24:13.3413856Z             aten_permute_copy_default_353: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_17_ffn_0_output_dense_weight, [1, 0]);  p_encoder_layer_17_ffn_0_output_dense_weight = None
2025-03-21T20:24:13.3414911Z             aten_addmm_default_263: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_17_ffn_0_output_dense_bias, aten_view_copy_default_706, aten_permute_copy_default_353);  p_encoder_layer_17_ffn_0_output_dense_bias = aten_view_copy_default_706 = aten_permute_copy_default_353 = None
2025-03-21T20:24:13.3415486Z             aten_view_copy_default_707: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_263, [1, 8, 128]);  aten_addmm_default_263 = None
2025-03-21T20:24:13.3415574Z             
2025-03-21T20:24:13.3416399Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.3417041Z             aten_add_tensor_263: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_707, aten_add_tensor_262);  aten_view_copy_default_707 = aten_add_tensor_262 = None
2025-03-21T20:24:13.3417141Z             
2025-03-21T20:24:13.3417932Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.3418751Z             aten_mul_tensor_141: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_263, p_encoder_layer_17_ffn_0_output_layernorm_weight);  aten_add_tensor_263 = p_encoder_layer_17_ffn_0_output_layernorm_weight = None
2025-03-21T20:24:13.3419532Z             aten_add_tensor_264: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_141, p_encoder_layer_17_ffn_0_output_layernorm_bias);  aten_mul_tensor_141 = p_encoder_layer_17_ffn_0_output_layernorm_bias = None
2025-03-21T20:24:13.3419657Z             
2025-03-21T20:24:13.3420409Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.3420833Z             aten_view_copy_default_708: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_264, [8, 128])
2025-03-21T20:24:13.3421651Z             aten_permute_copy_default_354: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_17_ffn_1_intermediate_dense_weight, [1, 0]);  p_encoder_layer_17_ffn_1_intermediate_dense_weight = None
2025-03-21T20:24:13.3422774Z             aten_addmm_default_264: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_17_ffn_1_intermediate_dense_bias, aten_view_copy_default_708, aten_permute_copy_default_354);  p_encoder_layer_17_ffn_1_intermediate_dense_bias = aten_view_copy_default_708 = aten_permute_copy_default_354 = None
2025-03-21T20:24:13.3423334Z             aten_view_copy_default_709: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_264, [1, 8, 512]);  aten_addmm_default_264 = None
2025-03-21T20:24:13.3423427Z             
2025-03-21T20:24:13.3424227Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.3424741Z             aten_relu_default_69: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_709);  aten_view_copy_default_709 = None
2025-03-21T20:24:13.3424844Z             
2025-03-21T20:24:13.3425573Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.3426130Z             aten_view_copy_default_710: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_69, [8, 512]);  aten_relu_default_69 = None
2025-03-21T20:24:13.3426854Z             aten_permute_copy_default_355: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_17_ffn_1_output_dense_weight, [1, 0]);  p_encoder_layer_17_ffn_1_output_dense_weight = None
2025-03-21T20:24:13.3427919Z             aten_addmm_default_265: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_17_ffn_1_output_dense_bias, aten_view_copy_default_710, aten_permute_copy_default_355);  p_encoder_layer_17_ffn_1_output_dense_bias = aten_view_copy_default_710 = aten_permute_copy_default_355 = None
2025-03-21T20:24:13.3428475Z             aten_view_copy_default_711: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_265, [1, 8, 128]);  aten_addmm_default_265 = None
2025-03-21T20:24:13.3428580Z             
2025-03-21T20:24:13.3429403Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.3430077Z             aten_add_tensor_265: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_711, aten_add_tensor_264);  aten_view_copy_default_711 = aten_add_tensor_264 = None
2025-03-21T20:24:13.3430168Z             
2025-03-21T20:24:13.3430918Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.3431722Z             aten_mul_tensor_142: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_265, p_encoder_layer_17_ffn_1_output_layernorm_weight);  aten_add_tensor_265 = p_encoder_layer_17_ffn_1_output_layernorm_weight = None
2025-03-21T20:24:13.3432559Z             aten_add_tensor_266: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_142, p_encoder_layer_17_ffn_1_output_layernorm_bias);  aten_mul_tensor_142 = p_encoder_layer_17_ffn_1_output_layernorm_bias = None
2025-03-21T20:24:13.3432654Z             
2025-03-21T20:24:13.3433505Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.3433928Z             aten_view_copy_default_712: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_266, [8, 128])
2025-03-21T20:24:13.3434721Z             aten_permute_copy_default_356: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_17_ffn_2_intermediate_dense_weight, [1, 0]);  p_encoder_layer_17_ffn_2_intermediate_dense_weight = None
2025-03-21T20:24:13.3435843Z             aten_addmm_default_266: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_17_ffn_2_intermediate_dense_bias, aten_view_copy_default_712, aten_permute_copy_default_356);  p_encoder_layer_17_ffn_2_intermediate_dense_bias = aten_view_copy_default_712 = aten_permute_copy_default_356 = None
2025-03-21T20:24:13.3436411Z             aten_view_copy_default_713: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_266, [1, 8, 512]);  aten_addmm_default_266 = None
2025-03-21T20:24:13.3436501Z             
2025-03-21T20:24:13.3437288Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.3437817Z             aten_relu_default_70: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_713);  aten_view_copy_default_713 = None
2025-03-21T20:24:13.3437906Z             
2025-03-21T20:24:13.3438646Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.3439185Z             aten_view_copy_default_714: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_70, [8, 512]);  aten_relu_default_70 = None
2025-03-21T20:24:13.3439918Z             aten_permute_copy_default_357: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_17_ffn_2_output_dense_weight, [1, 0]);  p_encoder_layer_17_ffn_2_output_dense_weight = None
2025-03-21T20:24:13.3440971Z             aten_addmm_default_267: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_17_ffn_2_output_dense_bias, aten_view_copy_default_714, aten_permute_copy_default_357);  p_encoder_layer_17_ffn_2_output_dense_bias = aten_view_copy_default_714 = aten_permute_copy_default_357 = None
2025-03-21T20:24:13.3441538Z             aten_view_copy_default_715: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_267, [1, 8, 128]);  aten_addmm_default_267 = None
2025-03-21T20:24:13.3441653Z             
2025-03-21T20:24:13.3442484Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.3443119Z             aten_add_tensor_267: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_715, aten_add_tensor_266);  aten_view_copy_default_715 = aten_add_tensor_266 = None
2025-03-21T20:24:13.3443217Z             
2025-03-21T20:24:13.3443980Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.3444825Z             aten_mul_tensor_143: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_267, p_encoder_layer_17_ffn_2_output_layernorm_weight);  aten_add_tensor_267 = p_encoder_layer_17_ffn_2_output_layernorm_weight = None
2025-03-21T20:24:13.3445629Z             aten_add_tensor_268: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_143, p_encoder_layer_17_ffn_2_output_layernorm_bias);  aten_mul_tensor_143 = p_encoder_layer_17_ffn_2_output_layernorm_bias = None
2025-03-21T20:24:13.3445726Z             
2025-03-21T20:24:13.3446461Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.3446891Z             aten_view_copy_default_716: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_268, [8, 128])
2025-03-21T20:24:13.3447633Z             aten_permute_copy_default_358: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_17_intermediate_dense_weight, [1, 0]);  p_encoder_layer_17_intermediate_dense_weight = None
2025-03-21T20:24:13.3448729Z             aten_addmm_default_268: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_17_intermediate_dense_bias, aten_view_copy_default_716, aten_permute_copy_default_358);  p_encoder_layer_17_intermediate_dense_bias = aten_view_copy_default_716 = aten_permute_copy_default_358 = None
2025-03-21T20:24:13.3449291Z             aten_view_copy_default_717: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_268, [1, 8, 512]);  aten_addmm_default_268 = None
2025-03-21T20:24:13.3449391Z             
2025-03-21T20:24:13.3450180Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.3450700Z             aten_relu_default_71: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_717);  aten_view_copy_default_717 = None
2025-03-21T20:24:13.3450789Z             
2025-03-21T20:24:13.3451544Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:415 in forward, code: layer_output = self.dense(intermediate_states)
2025-03-21T20:24:13.3452083Z             aten_view_copy_default_718: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_71, [8, 512]);  aten_relu_default_71 = None
2025-03-21T20:24:13.3452775Z             aten_permute_copy_default_359: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_17_output_dense_weight, [1, 0]);  p_encoder_layer_17_output_dense_weight = None
2025-03-21T20:24:13.3453803Z             aten_addmm_default_269: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_17_output_dense_bias, aten_view_copy_default_718, aten_permute_copy_default_359);  p_encoder_layer_17_output_dense_bias = aten_view_copy_default_718 = aten_permute_copy_default_359 = None
2025-03-21T20:24:13.3454386Z             aten_view_copy_default_719: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_269, [1, 8, 128]);  aten_addmm_default_269 = None
2025-03-21T20:24:13.3454487Z             
2025-03-21T20:24:13.3455305Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:420 in forward, code: layer_output = self.LayerNorm(layer_output + residual_tensor_1)
2025-03-21T20:24:13.3455981Z             aten_add_tensor_269: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_719, aten_add_tensor_268);  aten_view_copy_default_719 = aten_add_tensor_268 = None
2025-03-21T20:24:13.3456069Z             
2025-03-21T20:24:13.3456847Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.3457652Z             aten_mul_tensor_144: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_269, p_encoder_layer_17_output_layernorm_weight);  aten_add_tensor_269 = p_encoder_layer_17_output_layernorm_weight = None
2025-03-21T20:24:13.3458405Z             aten_add_tensor_270: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_144, p_encoder_layer_17_output_layernorm_bias);  aten_mul_tensor_144 = p_encoder_layer_17_output_layernorm_bias = None
2025-03-21T20:24:13.3458494Z             
2025-03-21T20:24:13.3459232Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:395 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.3459755Z             aten_view_copy_default_720: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_270, [8, 128]);  aten_add_tensor_270 = None
2025-03-21T20:24:13.3460551Z             aten_permute_copy_default_360: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_17_output_bottleneck_dense_weight, [1, 0]);  p_encoder_layer_17_output_bottleneck_dense_weight = None
2025-03-21T20:24:13.3461674Z             aten_addmm_default_270: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_17_output_bottleneck_dense_bias, aten_view_copy_default_720, aten_permute_copy_default_360);  p_encoder_layer_17_output_bottleneck_dense_bias = aten_view_copy_default_720 = aten_permute_copy_default_360 = None
2025-03-21T20:24:13.3462241Z             aten_view_copy_default_721: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_270, [1, 8, 512]);  aten_addmm_default_270 = None
2025-03-21T20:24:13.3462333Z             
2025-03-21T20:24:13.3463079Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:396 in forward, code: layer_outputs = self.dropout(layer_outputs)
2025-03-21T20:24:13.3463602Z             aten_clone_default_54: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_721);  aten_view_copy_default_721 = None
2025-03-21T20:24:13.3463697Z             
2025-03-21T20:24:13.3464517Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:397 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.3465123Z             aten_add_tensor_271: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_54, aten_add_tensor_257);  aten_clone_default_54 = aten_add_tensor_257 = None
2025-03-21T20:24:13.3465224Z             
2025-03-21T20:24:13.3465970Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.3466869Z             aten_mul_tensor_145: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_271, p_encoder_layer_17_output_bottleneck_layernorm_weight);  aten_add_tensor_271 = p_encoder_layer_17_output_bottleneck_layernorm_weight = None
2025-03-21T20:24:13.3467705Z             aten_add_tensor_272: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_145, p_encoder_layer_17_output_bottleneck_layernorm_bias);  aten_mul_tensor_145 = p_encoder_layer_17_output_bottleneck_layernorm_bias = None
2025-03-21T20:24:13.3467829Z             
2025-03-21T20:24:13.3468600Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:432 in forward, code: layer_input = self.dense(hidden_states)
2025-03-21T20:24:13.3469037Z             aten_view_copy_default_722: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_272, [8, 512])
2025-03-21T20:24:13.3469837Z             aten_permute_copy_default_361: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_18_bottleneck_input_dense_weight, [1, 0]);  p_encoder_layer_18_bottleneck_input_dense_weight = None
2025-03-21T20:24:13.3470966Z             aten_addmm_default_271: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_18_bottleneck_input_dense_bias, aten_view_copy_default_722, aten_permute_copy_default_361);  p_encoder_layer_18_bottleneck_input_dense_bias = aten_view_copy_default_722 = aten_permute_copy_default_361 = None
2025-03-21T20:24:13.3471685Z             aten_view_copy_default_723: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_271, [1, 8, 128]);  aten_addmm_default_271 = None
2025-03-21T20:24:13.3471793Z             
2025-03-21T20:24:13.3472541Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.3473544Z             aten_mul_tensor_146: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_723, p_encoder_layer_18_bottleneck_input_layernorm_weight);  aten_view_copy_default_723 = p_encoder_layer_18_bottleneck_input_layernorm_weight = None
2025-03-21T20:24:13.3474369Z             aten_add_tensor_273: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_146, p_encoder_layer_18_bottleneck_input_layernorm_bias);  aten_mul_tensor_146 = p_encoder_layer_18_bottleneck_input_layernorm_bias = None
2025-03-21T20:24:13.3474472Z             
2025-03-21T20:24:13.3475195Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:432 in forward, code: layer_input = self.dense(hidden_states)
2025-03-21T20:24:13.3475626Z             aten_view_copy_default_724: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_272, [8, 512])
2025-03-21T20:24:13.3476432Z             aten_permute_copy_default_362: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_18_bottleneck_attention_dense_weight, [1, 0]);  p_encoder_layer_18_bottleneck_attention_dense_weight = None
2025-03-21T20:24:13.3477598Z             aten_addmm_default_272: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_18_bottleneck_attention_dense_bias, aten_view_copy_default_724, aten_permute_copy_default_362);  p_encoder_layer_18_bottleneck_attention_dense_bias = aten_view_copy_default_724 = aten_permute_copy_default_362 = None
2025-03-21T20:24:13.3478159Z             aten_view_copy_default_725: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_272, [1, 8, 128]);  aten_addmm_default_272 = None
2025-03-21T20:24:13.3478300Z             
2025-03-21T20:24:13.3479051Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.3480004Z             aten_mul_tensor_147: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_725, p_encoder_layer_18_bottleneck_attention_layernorm_weight);  aten_view_copy_default_725 = p_encoder_layer_18_bottleneck_attention_layernorm_weight = None
2025-03-21T20:24:13.3480888Z             aten_add_tensor_274: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_147, p_encoder_layer_18_bottleneck_attention_layernorm_bias);  aten_mul_tensor_147 = p_encoder_layer_18_bottleneck_attention_layernorm_bias = None
2025-03-21T20:24:13.3481011Z             
2025-03-21T20:24:13.3481759Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:275 in forward, code: mixed_query_layer = self.query(query_tensor)
2025-03-21T20:24:13.3482216Z             aten_view_copy_default_726: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_274, [8, 128])
2025-03-21T20:24:13.3482962Z             aten_permute_copy_default_363: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_18_attention_self_query_weight, [1, 0]);  p_encoder_layer_18_attention_self_query_weight = None
2025-03-21T20:24:13.3484058Z             aten_addmm_default_273: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_18_attention_self_query_bias, aten_view_copy_default_726, aten_permute_copy_default_363);  p_encoder_layer_18_attention_self_query_bias = aten_view_copy_default_726 = aten_permute_copy_default_363 = None
2025-03-21T20:24:13.3484615Z             aten_view_copy_default_727: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_273, [1, 8, 128]);  aten_addmm_default_273 = None
2025-03-21T20:24:13.3484711Z             
2025-03-21T20:24:13.3485423Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:276 in forward, code: mixed_key_layer = self.key(key_tensor)
2025-03-21T20:24:13.3485943Z             aten_view_copy_default_728: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_274, [8, 128]);  aten_add_tensor_274 = None
2025-03-21T20:24:13.3486686Z             aten_permute_copy_default_364: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_18_attention_self_key_weight, [1, 0]);  p_encoder_layer_18_attention_self_key_weight = None
2025-03-21T20:24:13.3487757Z             aten_addmm_default_274: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_18_attention_self_key_bias, aten_view_copy_default_728, aten_permute_copy_default_364);  p_encoder_layer_18_attention_self_key_bias = aten_view_copy_default_728 = aten_permute_copy_default_364 = None
2025-03-21T20:24:13.3488328Z             aten_view_copy_default_729: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_274, [1, 8, 128]);  aten_addmm_default_274 = None
2025-03-21T20:24:13.3488421Z             
2025-03-21T20:24:13.3489167Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:277 in forward, code: mixed_value_layer = self.value(value_tensor)
2025-03-21T20:24:13.3489589Z             aten_view_copy_default_730: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_272, [8, 512])
2025-03-21T20:24:13.3490346Z             aten_permute_copy_default_365: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_18_attention_self_value_weight, [1, 0]);  p_encoder_layer_18_attention_self_value_weight = None
2025-03-21T20:24:13.3491461Z             aten_addmm_default_275: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_18_attention_self_value_bias, aten_view_copy_default_730, aten_permute_copy_default_365);  p_encoder_layer_18_attention_self_value_bias = aten_view_copy_default_730 = aten_permute_copy_default_365 = None
2025-03-21T20:24:13.3492029Z             aten_view_copy_default_731: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_275, [1, 8, 128]);  aten_addmm_default_275 = None
2025-03-21T20:24:13.3492142Z             
2025-03-21T20:24:13.3492862Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.3493471Z             aten_view_copy_default_732: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_727, [1, 8, 4, 32]);  aten_view_copy_default_727 = None
2025-03-21T20:24:13.3493571Z             
2025-03-21T20:24:13.3494326Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.3494950Z             aten_permute_copy_default_366: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_732, [0, 2, 1, 3]);  aten_view_copy_default_732 = None
2025-03-21T20:24:13.3495040Z             
2025-03-21T20:24:13.3495756Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.3496336Z             aten_view_copy_default_733: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_729, [1, 8, 4, 32]);  aten_view_copy_default_729 = None
2025-03-21T20:24:13.3496436Z             
2025-03-21T20:24:13.3497165Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.3497777Z             aten_permute_copy_default_367: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_733, [0, 2, 1, 3]);  aten_view_copy_default_733 = None
2025-03-21T20:24:13.3497875Z             
2025-03-21T20:24:13.3498583Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.3499174Z             aten_view_copy_default_734: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_731, [1, 8, 4, 32]);  aten_view_copy_default_731 = None
2025-03-21T20:24:13.3499266Z             
2025-03-21T20:24:13.3500004Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.3500614Z             aten_permute_copy_default_368: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_734, [0, 2, 1, 3]);  aten_view_copy_default_734 = None
2025-03-21T20:24:13.3500717Z             
2025-03-21T20:24:13.3501578Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:284 in forward, code: attention_scores = torch.matmul(query_layer, key_layer.transpose(-1, -2))
2025-03-21T20:24:13.3502432Z             aten_permute_copy_default_369: "f32[1, 4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_permute_copy_default_367, [0, 1, 3, 2]);  aten_permute_copy_default_367 = None
2025-03-21T20:24:13.3503111Z             aten_expand_copy_default_72: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_366, [1, 4, 8, 32]);  aten_permute_copy_default_366 = None
2025-03-21T20:24:13.3503708Z             aten_view_copy_default_735: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_72, [4, 8, 32]);  aten_expand_copy_default_72 = None
2025-03-21T20:24:13.3504329Z             aten_expand_copy_default_73: "f32[1, 4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_369, [1, 4, 32, 8]);  aten_permute_copy_default_369 = None
2025-03-21T20:24:13.3504970Z             aten_view_copy_default_736: "f32[4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_73, [4, 32, 8]);  aten_expand_copy_default_73 = None
2025-03-21T20:24:13.3505697Z             aten_bmm_default_36: "f32[4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_735, aten_view_copy_default_736);  aten_view_copy_default_735 = aten_view_copy_default_736 = None
2025-03-21T20:24:13.3506275Z             aten_view_copy_default_737: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_36, [1, 4, 8, 8]);  aten_bmm_default_36 = None
2025-03-21T20:24:13.3506366Z             
2025-03-21T20:24:13.3507227Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:285 in forward, code: attention_scores = attention_scores / math.sqrt(self.attention_head_size)
2025-03-21T20:24:13.3507926Z             aten_div_tensor_18: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_div_Tensor(aten_view_copy_default_737, _lifted_tensor_constant21);  aten_view_copy_default_737 = _lifted_tensor_constant21 = None
2025-03-21T20:24:13.3508015Z             
2025-03-21T20:24:13.3508799Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:288 in forward, code: attention_scores = attention_scores + attention_mask
2025-03-21T20:24:13.3509296Z             aten_add_tensor_275: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_div_tensor_18, aten_mul_tensor);  aten_div_tensor_18 = None
2025-03-21T20:24:13.3509391Z             
2025-03-21T20:24:13.3510225Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:290 in forward, code: attention_probs = nn.functional.softmax(attention_scores, dim=-1)
2025-03-21T20:24:13.3510764Z             aten__softmax_default_18: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten__softmax_default(aten_add_tensor_275, -1, False);  aten_add_tensor_275 = None
2025-03-21T20:24:13.3510854Z             
2025-03-21T20:24:13.3511620Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:293 in forward, code: attention_probs = self.dropout(attention_probs)
2025-03-21T20:24:13.3512125Z             aten_clone_default_55: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten__softmax_default_18);  aten__softmax_default_18 = None
2025-03-21T20:24:13.3512221Z             
2025-03-21T20:24:13.3513128Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:297 in forward, code: context_layer = torch.matmul(attention_probs, value_layer)
2025-03-21T20:24:13.3513705Z             aten_expand_copy_default_74: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_clone_default_55, [1, 4, 8, 8]);  aten_clone_default_55 = None
2025-03-21T20:24:13.3514293Z             aten_view_copy_default_738: "f32[4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_74, [4, 8, 8]);  aten_expand_copy_default_74 = None
2025-03-21T20:24:13.3514951Z             aten_expand_copy_default_75: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_368, [1, 4, 8, 32]);  aten_permute_copy_default_368 = None
2025-03-21T20:24:13.3515534Z             aten_view_copy_default_739: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_75, [4, 8, 32]);  aten_expand_copy_default_75 = None
2025-03-21T20:24:13.3516233Z             aten_bmm_default_37: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_738, aten_view_copy_default_739);  aten_view_copy_default_738 = aten_view_copy_default_739 = None
2025-03-21T20:24:13.3516798Z             aten_view_copy_default_740: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_37, [1, 4, 8, 32]);  aten_bmm_default_37 = None
2025-03-21T20:24:13.3516913Z             
2025-03-21T20:24:13.3517741Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:298 in forward, code: context_layer = context_layer.permute(0, 2, 1, 3).contiguous()
2025-03-21T20:24:13.3518379Z             aten_permute_copy_default_370: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_740, [0, 2, 1, 3]);  aten_view_copy_default_740 = None
2025-03-21T20:24:13.3519094Z             aten_clone_default_56: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_permute_copy_default_370, memory_format = torch.contiguous_format);  aten_permute_copy_default_370 = None
2025-03-21T20:24:13.3519186Z             
2025-03-21T20:24:13.3519994Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:300 in forward, code: context_layer = context_layer.view(new_context_layer_shape)
2025-03-21T20:24:13.3520552Z             aten_view_copy_default_741: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_56, [1, 8, 128]);  aten_clone_default_56 = None
2025-03-21T20:24:13.3520651Z             
2025-03-21T20:24:13.3521380Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:315 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.3521963Z             aten_view_copy_default_742: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_741, [8, 128]);  aten_view_copy_default_741 = None
2025-03-21T20:24:13.3522732Z             aten_permute_copy_default_371: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_18_attention_output_dense_weight, [1, 0]);  p_encoder_layer_18_attention_output_dense_weight = None
2025-03-21T20:24:13.3523858Z             aten_addmm_default_276: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_18_attention_output_dense_bias, aten_view_copy_default_742, aten_permute_copy_default_371);  p_encoder_layer_18_attention_output_dense_bias = aten_view_copy_default_742 = aten_permute_copy_default_371 = None
2025-03-21T20:24:13.3524416Z             aten_view_copy_default_743: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_276, [1, 8, 128]);  aten_addmm_default_276 = None
2025-03-21T20:24:13.3524514Z             
2025-03-21T20:24:13.3525332Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:318 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.3525980Z             aten_add_tensor_276: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_743, aten_add_tensor_273);  aten_view_copy_default_743 = aten_add_tensor_273 = None
2025-03-21T20:24:13.3526068Z             
2025-03-21T20:24:13.3526829Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.3527705Z             aten_mul_tensor_148: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_276, p_encoder_layer_18_attention_output_layernorm_weight);  aten_add_tensor_276 = p_encoder_layer_18_attention_output_layernorm_weight = None
2025-03-21T20:24:13.3528542Z             aten_add_tensor_277: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_148, p_encoder_layer_18_attention_output_layernorm_bias);  aten_mul_tensor_148 = p_encoder_layer_18_attention_output_layernorm_bias = None
2025-03-21T20:24:13.3528653Z             
2025-03-21T20:24:13.3529404Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.3529837Z             aten_view_copy_default_744: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_277, [8, 128])
2025-03-21T20:24:13.3530642Z             aten_permute_copy_default_372: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_18_ffn_0_intermediate_dense_weight, [1, 0]);  p_encoder_layer_18_ffn_0_intermediate_dense_weight = None
2025-03-21T20:24:13.3531768Z             aten_addmm_default_277: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_18_ffn_0_intermediate_dense_bias, aten_view_copy_default_744, aten_permute_copy_default_372);  p_encoder_layer_18_ffn_0_intermediate_dense_bias = aten_view_copy_default_744 = aten_permute_copy_default_372 = None
2025-03-21T20:24:13.3532327Z             aten_view_copy_default_745: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_277, [1, 8, 512]);  aten_addmm_default_277 = None
2025-03-21T20:24:13.3532432Z             
2025-03-21T20:24:13.3533229Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.3533753Z             aten_relu_default_72: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_745);  aten_view_copy_default_745 = None
2025-03-21T20:24:13.3533842Z             
2025-03-21T20:24:13.3534584Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.3535123Z             aten_view_copy_default_746: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_72, [8, 512]);  aten_relu_default_72 = None
2025-03-21T20:24:13.3535853Z             aten_permute_copy_default_373: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_18_ffn_0_output_dense_weight, [1, 0]);  p_encoder_layer_18_ffn_0_output_dense_weight = None
2025-03-21T20:24:13.3536913Z             aten_addmm_default_278: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_18_ffn_0_output_dense_bias, aten_view_copy_default_746, aten_permute_copy_default_373);  p_encoder_layer_18_ffn_0_output_dense_bias = aten_view_copy_default_746 = aten_permute_copy_default_373 = None
2025-03-21T20:24:13.3537478Z             aten_view_copy_default_747: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_278, [1, 8, 128]);  aten_addmm_default_278 = None
2025-03-21T20:24:13.3537570Z             
2025-03-21T20:24:13.3538392Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.3539047Z             aten_add_tensor_278: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_747, aten_add_tensor_277);  aten_view_copy_default_747 = aten_add_tensor_277 = None
2025-03-21T20:24:13.3539148Z             
2025-03-21T20:24:13.3539893Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.3540702Z             aten_mul_tensor_149: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_278, p_encoder_layer_18_ffn_0_output_layernorm_weight);  aten_add_tensor_278 = p_encoder_layer_18_ffn_0_output_layernorm_weight = None
2025-03-21T20:24:13.3541528Z             aten_add_tensor_279: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_149, p_encoder_layer_18_ffn_0_output_layernorm_bias);  aten_mul_tensor_149 = p_encoder_layer_18_ffn_0_output_layernorm_bias = None
2025-03-21T20:24:13.3541625Z             
2025-03-21T20:24:13.3542381Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.3542813Z             aten_view_copy_default_748: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_279, [8, 128])
2025-03-21T20:24:13.3543590Z             aten_permute_copy_default_374: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_18_ffn_1_intermediate_dense_weight, [1, 0]);  p_encoder_layer_18_ffn_1_intermediate_dense_weight = None
2025-03-21T20:24:13.3544714Z             aten_addmm_default_279: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_18_ffn_1_intermediate_dense_bias, aten_view_copy_default_748, aten_permute_copy_default_374);  p_encoder_layer_18_ffn_1_intermediate_dense_bias = aten_view_copy_default_748 = aten_permute_copy_default_374 = None
2025-03-21T20:24:13.3545276Z             aten_view_copy_default_749: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_279, [1, 8, 512]);  aten_addmm_default_279 = None
2025-03-21T20:24:13.3545362Z             
2025-03-21T20:24:13.3546157Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.3546670Z             aten_relu_default_73: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_749);  aten_view_copy_default_749 = None
2025-03-21T20:24:13.3546764Z             
2025-03-21T20:24:13.3547491Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.3548032Z             aten_view_copy_default_750: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_73, [8, 512]);  aten_relu_default_73 = None
2025-03-21T20:24:13.3548759Z             aten_permute_copy_default_375: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_18_ffn_1_output_dense_weight, [1, 0]);  p_encoder_layer_18_ffn_1_output_dense_weight = None
2025-03-21T20:24:13.3549826Z             aten_addmm_default_280: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_18_ffn_1_output_dense_bias, aten_view_copy_default_750, aten_permute_copy_default_375);  p_encoder_layer_18_ffn_1_output_dense_bias = aten_view_copy_default_750 = aten_permute_copy_default_375 = None
2025-03-21T20:24:13.3550386Z             aten_view_copy_default_751: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_280, [1, 8, 128]);  aten_addmm_default_280 = None
2025-03-21T20:24:13.3550505Z             
2025-03-21T20:24:13.3551323Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.3551963Z             aten_add_tensor_280: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_751, aten_add_tensor_279);  aten_view_copy_default_751 = aten_add_tensor_279 = None
2025-03-21T20:24:13.3552051Z             
2025-03-21T20:24:13.3552839Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.3553759Z             aten_mul_tensor_150: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_280, p_encoder_layer_18_ffn_1_output_layernorm_weight);  aten_add_tensor_280 = p_encoder_layer_18_ffn_1_output_layernorm_weight = None
2025-03-21T20:24:13.3554570Z             aten_add_tensor_281: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_150, p_encoder_layer_18_ffn_1_output_layernorm_bias);  aten_mul_tensor_150 = p_encoder_layer_18_ffn_1_output_layernorm_bias = None
2025-03-21T20:24:13.3554657Z             
2025-03-21T20:24:13.3555401Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.3555822Z             aten_view_copy_default_752: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_281, [8, 128])
2025-03-21T20:24:13.3556608Z             aten_permute_copy_default_376: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_18_ffn_2_intermediate_dense_weight, [1, 0]);  p_encoder_layer_18_ffn_2_intermediate_dense_weight = None
2025-03-21T20:24:13.3557722Z             aten_addmm_default_281: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_18_ffn_2_intermediate_dense_bias, aten_view_copy_default_752, aten_permute_copy_default_376);  p_encoder_layer_18_ffn_2_intermediate_dense_bias = aten_view_copy_default_752 = aten_permute_copy_default_376 = None
2025-03-21T20:24:13.3558288Z             aten_view_copy_default_753: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_281, [1, 8, 512]);  aten_addmm_default_281 = None
2025-03-21T20:24:13.3558379Z             
2025-03-21T20:24:13.3559172Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.3559683Z             aten_relu_default_74: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_753);  aten_view_copy_default_753 = None
2025-03-21T20:24:13.3559772Z             
2025-03-21T20:24:13.3560508Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.3561036Z             aten_view_copy_default_754: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_74, [8, 512]);  aten_relu_default_74 = None
2025-03-21T20:24:13.3561773Z             aten_permute_copy_default_377: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_18_ffn_2_output_dense_weight, [1, 0]);  p_encoder_layer_18_ffn_2_output_dense_weight = None
2025-03-21T20:24:13.3562829Z             aten_addmm_default_282: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_18_ffn_2_output_dense_bias, aten_view_copy_default_754, aten_permute_copy_default_377);  p_encoder_layer_18_ffn_2_output_dense_bias = aten_view_copy_default_754 = aten_permute_copy_default_377 = None
2025-03-21T20:24:13.3563418Z             aten_view_copy_default_755: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_282, [1, 8, 128]);  aten_addmm_default_282 = None
2025-03-21T20:24:13.3563508Z             
2025-03-21T20:24:13.3564336Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.3565001Z             aten_add_tensor_282: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_755, aten_add_tensor_281);  aten_view_copy_default_755 = aten_add_tensor_281 = None
2025-03-21T20:24:13.3565097Z             
2025-03-21T20:24:13.3565867Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.3566702Z             aten_mul_tensor_151: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_282, p_encoder_layer_18_ffn_2_output_layernorm_weight);  aten_add_tensor_282 = p_encoder_layer_18_ffn_2_output_layernorm_weight = None
2025-03-21T20:24:13.3567483Z             aten_add_tensor_283: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_151, p_encoder_layer_18_ffn_2_output_layernorm_bias);  aten_mul_tensor_151 = p_encoder_layer_18_ffn_2_output_layernorm_bias = None
2025-03-21T20:24:13.3567579Z             
2025-03-21T20:24:13.3568318Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.3568749Z             aten_view_copy_default_756: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_283, [8, 128])
2025-03-21T20:24:13.3569498Z             aten_permute_copy_default_378: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_18_intermediate_dense_weight, [1, 0]);  p_encoder_layer_18_intermediate_dense_weight = None
2025-03-21T20:24:13.3570593Z             aten_addmm_default_283: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_18_intermediate_dense_bias, aten_view_copy_default_756, aten_permute_copy_default_378);  p_encoder_layer_18_intermediate_dense_bias = aten_view_copy_default_756 = aten_permute_copy_default_378 = None
2025-03-21T20:24:13.3571157Z             aten_view_copy_default_757: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_283, [1, 8, 512]);  aten_addmm_default_283 = None
2025-03-21T20:24:13.3571260Z             
2025-03-21T20:24:13.3572056Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.3572582Z             aten_relu_default_75: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_757);  aten_view_copy_default_757 = None
2025-03-21T20:24:13.3572674Z             
2025-03-21T20:24:13.3573500Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:415 in forward, code: layer_output = self.dense(intermediate_states)
2025-03-21T20:24:13.3574045Z             aten_view_copy_default_758: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_75, [8, 512]);  aten_relu_default_75 = None
2025-03-21T20:24:13.3574749Z             aten_permute_copy_default_379: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_18_output_dense_weight, [1, 0]);  p_encoder_layer_18_output_dense_weight = None
2025-03-21T20:24:13.3575813Z             aten_addmm_default_284: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_18_output_dense_bias, aten_view_copy_default_758, aten_permute_copy_default_379);  p_encoder_layer_18_output_dense_bias = aten_view_copy_default_758 = aten_permute_copy_default_379 = None
2025-03-21T20:24:13.3576369Z             aten_view_copy_default_759: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_284, [1, 8, 128]);  aten_addmm_default_284 = None
2025-03-21T20:24:13.3576491Z             
2025-03-21T20:24:13.3577308Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:420 in forward, code: layer_output = self.LayerNorm(layer_output + residual_tensor_1)
2025-03-21T20:24:13.3577982Z             aten_add_tensor_284: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_759, aten_add_tensor_283);  aten_view_copy_default_759 = aten_add_tensor_283 = None
2025-03-21T20:24:13.3578073Z             
2025-03-21T20:24:13.3578850Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.3579618Z             aten_mul_tensor_152: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_284, p_encoder_layer_18_output_layernorm_weight);  aten_add_tensor_284 = p_encoder_layer_18_output_layernorm_weight = None
2025-03-21T20:24:13.3580369Z             aten_add_tensor_285: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_152, p_encoder_layer_18_output_layernorm_bias);  aten_mul_tensor_152 = p_encoder_layer_18_output_layernorm_bias = None
2025-03-21T20:24:13.3580461Z             
2025-03-21T20:24:13.3581205Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:395 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.3581728Z             aten_view_copy_default_760: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_285, [8, 128]);  aten_add_tensor_285 = None
2025-03-21T20:24:13.3582516Z             aten_permute_copy_default_380: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_18_output_bottleneck_dense_weight, [1, 0]);  p_encoder_layer_18_output_bottleneck_dense_weight = None
2025-03-21T20:24:13.3583641Z             aten_addmm_default_285: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_18_output_bottleneck_dense_bias, aten_view_copy_default_760, aten_permute_copy_default_380);  p_encoder_layer_18_output_bottleneck_dense_bias = aten_view_copy_default_760 = aten_permute_copy_default_380 = None
2025-03-21T20:24:13.3584210Z             aten_view_copy_default_761: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_285, [1, 8, 512]);  aten_addmm_default_285 = None
2025-03-21T20:24:13.3584300Z             
2025-03-21T20:24:13.3585048Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:396 in forward, code: layer_outputs = self.dropout(layer_outputs)
2025-03-21T20:24:13.3585566Z             aten_clone_default_57: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_761);  aten_view_copy_default_761 = None
2025-03-21T20:24:13.3585664Z             
2025-03-21T20:24:13.3586488Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:397 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.3587088Z             aten_add_tensor_286: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_57, aten_add_tensor_272);  aten_clone_default_57 = aten_add_tensor_272 = None
2025-03-21T20:24:13.3587226Z             
2025-03-21T20:24:13.3587965Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.3588830Z             aten_mul_tensor_153: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_286, p_encoder_layer_18_output_bottleneck_layernorm_weight);  aten_add_tensor_286 = p_encoder_layer_18_output_bottleneck_layernorm_weight = None
2025-03-21T20:24:13.3589711Z             aten_add_tensor_287: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_153, p_encoder_layer_18_output_bottleneck_layernorm_bias);  aten_mul_tensor_153 = p_encoder_layer_18_output_bottleneck_layernorm_bias = None
2025-03-21T20:24:13.3589813Z             
2025-03-21T20:24:13.3590535Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:432 in forward, code: layer_input = self.dense(hidden_states)
2025-03-21T20:24:13.3590988Z             aten_view_copy_default_762: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_287, [8, 512])
2025-03-21T20:24:13.3591753Z             aten_permute_copy_default_381: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_19_bottleneck_input_dense_weight, [1, 0]);  p_encoder_layer_19_bottleneck_input_dense_weight = None
2025-03-21T20:24:13.3592878Z             aten_addmm_default_286: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_19_bottleneck_input_dense_bias, aten_view_copy_default_762, aten_permute_copy_default_381);  p_encoder_layer_19_bottleneck_input_dense_bias = aten_view_copy_default_762 = aten_permute_copy_default_381 = None
2025-03-21T20:24:13.3593519Z             aten_view_copy_default_763: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_286, [1, 8, 128]);  aten_addmm_default_286 = None
2025-03-21T20:24:13.3593620Z             
2025-03-21T20:24:13.3594366Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.3595287Z             aten_mul_tensor_154: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_763, p_encoder_layer_19_bottleneck_input_layernorm_weight);  aten_view_copy_default_763 = p_encoder_layer_19_bottleneck_input_layernorm_weight = None
2025-03-21T20:24:13.3596122Z             aten_add_tensor_288: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_154, p_encoder_layer_19_bottleneck_input_layernorm_bias);  aten_mul_tensor_154 = p_encoder_layer_19_bottleneck_input_layernorm_bias = None
2025-03-21T20:24:13.3596224Z             
2025-03-21T20:24:13.3596951Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:432 in forward, code: layer_input = self.dense(hidden_states)
2025-03-21T20:24:13.3597380Z             aten_view_copy_default_764: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_287, [8, 512])
2025-03-21T20:24:13.3598188Z             aten_permute_copy_default_382: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_19_bottleneck_attention_dense_weight, [1, 0]);  p_encoder_layer_19_bottleneck_attention_dense_weight = None
2025-03-21T20:24:13.3599349Z             aten_addmm_default_287: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_19_bottleneck_attention_dense_bias, aten_view_copy_default_764, aten_permute_copy_default_382);  p_encoder_layer_19_bottleneck_attention_dense_bias = aten_view_copy_default_764 = aten_permute_copy_default_382 = None
2025-03-21T20:24:13.3599944Z             aten_view_copy_default_765: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_287, [1, 8, 128]);  aten_addmm_default_287 = None
2025-03-21T20:24:13.3600045Z             
2025-03-21T20:24:13.3600798Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.3601772Z             aten_mul_tensor_155: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_765, p_encoder_layer_19_bottleneck_attention_layernorm_weight);  aten_view_copy_default_765 = p_encoder_layer_19_bottleneck_attention_layernorm_weight = None
2025-03-21T20:24:13.3602940Z             aten_add_tensor_289: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_155, p_encoder_layer_19_bottleneck_attention_layernorm_bias);  aten_mul_tensor_155 = p_encoder_layer_19_bottleneck_attention_layernorm_bias = None
2025-03-21T20:24:13.3603046Z             
2025-03-21T20:24:13.3603825Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:275 in forward, code: mixed_query_layer = self.query(query_tensor)
2025-03-21T20:24:13.3604260Z             aten_view_copy_default_766: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_289, [8, 128])
2025-03-21T20:24:13.3605008Z             aten_permute_copy_default_383: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_19_attention_self_query_weight, [1, 0]);  p_encoder_layer_19_attention_self_query_weight = None
2025-03-21T20:24:13.3606108Z             aten_addmm_default_288: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_19_attention_self_query_bias, aten_view_copy_default_766, aten_permute_copy_default_383);  p_encoder_layer_19_attention_self_query_bias = aten_view_copy_default_766 = aten_permute_copy_default_383 = None
2025-03-21T20:24:13.3606670Z             aten_view_copy_default_767: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_288, [1, 8, 128]);  aten_addmm_default_288 = None
2025-03-21T20:24:13.3606769Z             
2025-03-21T20:24:13.3607486Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:276 in forward, code: mixed_key_layer = self.key(key_tensor)
2025-03-21T20:24:13.3608011Z             aten_view_copy_default_768: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_289, [8, 128]);  aten_add_tensor_289 = None
2025-03-21T20:24:13.3608758Z             aten_permute_copy_default_384: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_19_attention_self_key_weight, [1, 0]);  p_encoder_layer_19_attention_self_key_weight = None
2025-03-21T20:24:13.3609825Z             aten_addmm_default_289: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_19_attention_self_key_bias, aten_view_copy_default_768, aten_permute_copy_default_384);  p_encoder_layer_19_attention_self_key_bias = aten_view_copy_default_768 = aten_permute_copy_default_384 = None
2025-03-21T20:24:13.3610394Z             aten_view_copy_default_769: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_289, [1, 8, 128]);  aten_addmm_default_289 = None
2025-03-21T20:24:13.3610486Z             
2025-03-21T20:24:13.3611250Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:277 in forward, code: mixed_value_layer = self.value(value_tensor)
2025-03-21T20:24:13.3611666Z             aten_view_copy_default_770: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_287, [8, 512])
2025-03-21T20:24:13.3612456Z             aten_permute_copy_default_385: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_19_attention_self_value_weight, [1, 0]);  p_encoder_layer_19_attention_self_value_weight = None
2025-03-21T20:24:13.3613544Z             aten_addmm_default_290: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_19_attention_self_value_bias, aten_view_copy_default_770, aten_permute_copy_default_385);  p_encoder_layer_19_attention_self_value_bias = aten_view_copy_default_770 = aten_permute_copy_default_385 = None
2025-03-21T20:24:13.3614168Z             aten_view_copy_default_771: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_290, [1, 8, 128]);  aten_addmm_default_290 = None
2025-03-21T20:24:13.3614257Z             
2025-03-21T20:24:13.3614979Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.3615587Z             aten_view_copy_default_772: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_767, [1, 8, 4, 32]);  aten_view_copy_default_767 = None
2025-03-21T20:24:13.3615685Z             
2025-03-21T20:24:13.3616415Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.3617034Z             aten_permute_copy_default_386: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_772, [0, 2, 1, 3]);  aten_view_copy_default_772 = None
2025-03-21T20:24:13.3617125Z             
2025-03-21T20:24:13.3617841Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.3618435Z             aten_view_copy_default_773: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_769, [1, 8, 4, 32]);  aten_view_copy_default_769 = None
2025-03-21T20:24:13.3618532Z             
2025-03-21T20:24:13.3619261Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.3619883Z             aten_permute_copy_default_387: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_773, [0, 2, 1, 3]);  aten_view_copy_default_773 = None
2025-03-21T20:24:13.3619985Z             
2025-03-21T20:24:13.3620692Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.3621293Z             aten_view_copy_default_774: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_771, [1, 8, 4, 32]);  aten_view_copy_default_771 = None
2025-03-21T20:24:13.3621384Z             
2025-03-21T20:24:13.3622120Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.3622735Z             aten_permute_copy_default_388: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_774, [0, 2, 1, 3]);  aten_view_copy_default_774 = None
2025-03-21T20:24:13.3622838Z             
2025-03-21T20:24:13.3623703Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:284 in forward, code: attention_scores = torch.matmul(query_layer, key_layer.transpose(-1, -2))
2025-03-21T20:24:13.3624380Z             aten_permute_copy_default_389: "f32[1, 4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_permute_copy_default_387, [0, 1, 3, 2]);  aten_permute_copy_default_387 = None
2025-03-21T20:24:13.3625005Z             aten_expand_copy_default_76: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_386, [1, 4, 8, 32]);  aten_permute_copy_default_386 = None
2025-03-21T20:24:13.3625607Z             aten_view_copy_default_775: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_76, [4, 8, 32]);  aten_expand_copy_default_76 = None
2025-03-21T20:24:13.3626276Z             aten_expand_copy_default_77: "f32[1, 4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_389, [1, 4, 32, 8]);  aten_permute_copy_default_389 = None
2025-03-21T20:24:13.3626873Z             aten_view_copy_default_776: "f32[4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_77, [4, 32, 8]);  aten_expand_copy_default_77 = None
2025-03-21T20:24:13.3627587Z             aten_bmm_default_38: "f32[4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_775, aten_view_copy_default_776);  aten_view_copy_default_775 = aten_view_copy_default_776 = None
2025-03-21T20:24:13.3628134Z             aten_view_copy_default_777: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_38, [1, 4, 8, 8]);  aten_bmm_default_38 = None
2025-03-21T20:24:13.3628227Z             
2025-03-21T20:24:13.3629107Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:285 in forward, code: attention_scores = attention_scores / math.sqrt(self.attention_head_size)
2025-03-21T20:24:13.3629794Z             aten_div_tensor_19: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_div_Tensor(aten_view_copy_default_777, _lifted_tensor_constant22);  aten_view_copy_default_777 = _lifted_tensor_constant22 = None
2025-03-21T20:24:13.3629889Z             
2025-03-21T20:24:13.3630677Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:288 in forward, code: attention_scores = attention_scores + attention_mask
2025-03-21T20:24:13.3631172Z             aten_add_tensor_290: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_div_tensor_19, aten_mul_tensor);  aten_div_tensor_19 = None
2025-03-21T20:24:13.3631279Z             
2025-03-21T20:24:13.3632114Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:290 in forward, code: attention_probs = nn.functional.softmax(attention_scores, dim=-1)
2025-03-21T20:24:13.3632658Z             aten__softmax_default_19: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten__softmax_default(aten_add_tensor_290, -1, False);  aten_add_tensor_290 = None
2025-03-21T20:24:13.3632752Z             
2025-03-21T20:24:13.3633611Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:293 in forward, code: attention_probs = self.dropout(attention_probs)
2025-03-21T20:24:13.3634116Z             aten_clone_default_58: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten__softmax_default_19);  aten__softmax_default_19 = None
2025-03-21T20:24:13.3634221Z             
2025-03-21T20:24:13.3635018Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:297 in forward, code: context_layer = torch.matmul(attention_probs, value_layer)
2025-03-21T20:24:13.3635605Z             aten_expand_copy_default_78: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_clone_default_58, [1, 4, 8, 8]);  aten_clone_default_58 = None
2025-03-21T20:24:13.3636216Z             aten_view_copy_default_778: "f32[4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_78, [4, 8, 8]);  aten_expand_copy_default_78 = None
2025-03-21T20:24:13.3636849Z             aten_expand_copy_default_79: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_388, [1, 4, 8, 32]);  aten_permute_copy_default_388 = None
2025-03-21T20:24:13.3637433Z             aten_view_copy_default_779: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_79, [4, 8, 32]);  aten_expand_copy_default_79 = None
2025-03-21T20:24:13.3638196Z             aten_bmm_default_39: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_778, aten_view_copy_default_779);  aten_view_copy_default_778 = aten_view_copy_default_779 = None
2025-03-21T20:24:13.3638739Z             aten_view_copy_default_780: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_39, [1, 4, 8, 32]);  aten_bmm_default_39 = None
2025-03-21T20:24:13.3638830Z             
2025-03-21T20:24:13.3639695Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:298 in forward, code: context_layer = context_layer.permute(0, 2, 1, 3).contiguous()
2025-03-21T20:24:13.3640310Z             aten_permute_copy_default_390: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_780, [0, 2, 1, 3]);  aten_view_copy_default_780 = None
2025-03-21T20:24:13.3641034Z             aten_clone_default_59: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_permute_copy_default_390, memory_format = torch.contiguous_format);  aten_permute_copy_default_390 = None
2025-03-21T20:24:13.3641125Z             
2025-03-21T20:24:13.3641942Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:300 in forward, code: context_layer = context_layer.view(new_context_layer_shape)
2025-03-21T20:24:13.3642499Z             aten_view_copy_default_781: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_59, [1, 8, 128]);  aten_clone_default_59 = None
2025-03-21T20:24:13.3642598Z             
2025-03-21T20:24:13.3643333Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:315 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.3643921Z             aten_view_copy_default_782: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_781, [8, 128]);  aten_view_copy_default_781 = None
2025-03-21T20:24:13.3644693Z             aten_permute_copy_default_391: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_19_attention_output_dense_weight, [1, 0]);  p_encoder_layer_19_attention_output_dense_weight = None
2025-03-21T20:24:13.3645813Z             aten_addmm_default_291: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_19_attention_output_dense_bias, aten_view_copy_default_782, aten_permute_copy_default_391);  p_encoder_layer_19_attention_output_dense_bias = aten_view_copy_default_782 = aten_permute_copy_default_391 = None
2025-03-21T20:24:13.3646379Z             aten_view_copy_default_783: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_291, [1, 8, 128]);  aten_addmm_default_291 = None
2025-03-21T20:24:13.3646482Z             
2025-03-21T20:24:13.3647308Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:318 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.3647980Z             aten_add_tensor_291: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_783, aten_add_tensor_288);  aten_view_copy_default_783 = aten_add_tensor_288 = None
2025-03-21T20:24:13.3648072Z             
2025-03-21T20:24:13.3648829Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.3649683Z             aten_mul_tensor_156: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_291, p_encoder_layer_19_attention_output_layernorm_weight);  aten_add_tensor_291 = p_encoder_layer_19_attention_output_layernorm_weight = None
2025-03-21T20:24:13.3650566Z             aten_add_tensor_292: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_156, p_encoder_layer_19_attention_output_layernorm_bias);  aten_mul_tensor_156 = p_encoder_layer_19_attention_output_layernorm_bias = None
2025-03-21T20:24:13.3650660Z             
2025-03-21T20:24:13.3651413Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.3651847Z             aten_view_copy_default_784: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_292, [8, 128])
2025-03-21T20:24:13.3652631Z             aten_permute_copy_default_392: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_19_ffn_0_intermediate_dense_weight, [1, 0]);  p_encoder_layer_19_ffn_0_intermediate_dense_weight = None
2025-03-21T20:24:13.3653762Z             aten_addmm_default_292: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_19_ffn_0_intermediate_dense_bias, aten_view_copy_default_784, aten_permute_copy_default_392);  p_encoder_layer_19_ffn_0_intermediate_dense_bias = aten_view_copy_default_784 = aten_permute_copy_default_392 = None
2025-03-21T20:24:13.3654340Z             aten_view_copy_default_785: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_292, [1, 8, 512]);  aten_addmm_default_292 = None
2025-03-21T20:24:13.3654432Z             
2025-03-21T20:24:13.3655225Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.3655751Z             aten_relu_default_76: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_785);  aten_view_copy_default_785 = None
2025-03-21T20:24:13.3655845Z             
2025-03-21T20:24:13.3656585Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.3657122Z             aten_view_copy_default_786: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_76, [8, 512]);  aten_relu_default_76 = None
2025-03-21T20:24:13.3657856Z             aten_permute_copy_default_393: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_19_ffn_0_output_dense_weight, [1, 0]);  p_encoder_layer_19_ffn_0_output_dense_weight = None
2025-03-21T20:24:13.3658911Z             aten_addmm_default_293: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_19_ffn_0_output_dense_bias, aten_view_copy_default_786, aten_permute_copy_default_393);  p_encoder_layer_19_ffn_0_output_dense_bias = aten_view_copy_default_786 = aten_permute_copy_default_393 = None
2025-03-21T20:24:13.3659485Z             aten_view_copy_default_787: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_293, [1, 8, 128]);  aten_addmm_default_293 = None
2025-03-21T20:24:13.3659602Z             
2025-03-21T20:24:13.3660436Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.3661071Z             aten_add_tensor_293: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_787, aten_add_tensor_292);  aten_view_copy_default_787 = aten_add_tensor_292 = None
2025-03-21T20:24:13.3661169Z             
2025-03-21T20:24:13.3661965Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.3662802Z             aten_mul_tensor_157: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_293, p_encoder_layer_19_ffn_0_output_layernorm_weight);  aten_add_tensor_293 = p_encoder_layer_19_ffn_0_output_layernorm_weight = None
2025-03-21T20:24:13.3663609Z             aten_add_tensor_294: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_157, p_encoder_layer_19_ffn_0_output_layernorm_bias);  aten_mul_tensor_157 = p_encoder_layer_19_ffn_0_output_layernorm_bias = None
2025-03-21T20:24:13.3663709Z             
2025-03-21T20:24:13.3664442Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.3664874Z             aten_view_copy_default_788: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_294, [8, 128])
2025-03-21T20:24:13.3665666Z             aten_permute_copy_default_394: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_19_ffn_1_intermediate_dense_weight, [1, 0]);  p_encoder_layer_19_ffn_1_intermediate_dense_weight = None
2025-03-21T20:24:13.3666792Z             aten_addmm_default_294: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_19_ffn_1_intermediate_dense_bias, aten_view_copy_default_788, aten_permute_copy_default_394);  p_encoder_layer_19_ffn_1_intermediate_dense_bias = aten_view_copy_default_788 = aten_permute_copy_default_394 = None
2025-03-21T20:24:13.3667354Z             aten_view_copy_default_789: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_294, [1, 8, 512]);  aten_addmm_default_294 = None
2025-03-21T20:24:13.3667457Z             
2025-03-21T20:24:13.3668245Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.3668761Z             aten_relu_default_77: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_789);  aten_view_copy_default_789 = None
2025-03-21T20:24:13.3668861Z             
2025-03-21T20:24:13.3669588Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.3670136Z             aten_view_copy_default_790: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_77, [8, 512]);  aten_relu_default_77 = None
2025-03-21T20:24:13.3670864Z             aten_permute_copy_default_395: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_19_ffn_1_output_dense_weight, [1, 0]);  p_encoder_layer_19_ffn_1_output_dense_weight = None
2025-03-21T20:24:13.3671934Z             aten_addmm_default_295: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_19_ffn_1_output_dense_bias, aten_view_copy_default_790, aten_permute_copy_default_395);  p_encoder_layer_19_ffn_1_output_dense_bias = aten_view_copy_default_790 = aten_permute_copy_default_395 = None
2025-03-21T20:24:13.3672520Z             aten_view_copy_default_791: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_295, [1, 8, 128]);  aten_addmm_default_295 = None
2025-03-21T20:24:13.3672621Z             
2025-03-21T20:24:13.3673536Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.3674228Z             aten_add_tensor_295: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_791, aten_add_tensor_294);  aten_view_copy_default_791 = aten_add_tensor_294 = None
2025-03-21T20:24:13.3674326Z             
2025-03-21T20:24:13.3675122Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.3675956Z             aten_mul_tensor_158: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_295, p_encoder_layer_19_ffn_1_output_layernorm_weight);  aten_add_tensor_295 = p_encoder_layer_19_ffn_1_output_layernorm_weight = None
2025-03-21T20:24:13.3676751Z             aten_add_tensor_296: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_158, p_encoder_layer_19_ffn_1_output_layernorm_bias);  aten_mul_tensor_158 = p_encoder_layer_19_ffn_1_output_layernorm_bias = None
2025-03-21T20:24:13.3676850Z             
2025-03-21T20:24:13.3677600Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.3678023Z             aten_view_copy_default_792: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_296, [8, 128])
2025-03-21T20:24:13.3678824Z             aten_permute_copy_default_396: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_19_ffn_2_intermediate_dense_weight, [1, 0]);  p_encoder_layer_19_ffn_2_intermediate_dense_weight = None
2025-03-21T20:24:13.3679941Z             aten_addmm_default_296: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_19_ffn_2_intermediate_dense_bias, aten_view_copy_default_792, aten_permute_copy_default_396);  p_encoder_layer_19_ffn_2_intermediate_dense_bias = aten_view_copy_default_792 = aten_permute_copy_default_396 = None
2025-03-21T20:24:13.3680518Z             aten_view_copy_default_793: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_296, [1, 8, 512]);  aten_addmm_default_296 = None
2025-03-21T20:24:13.3680607Z             
2025-03-21T20:24:13.3681405Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.3681927Z             aten_relu_default_78: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_793);  aten_view_copy_default_793 = None
2025-03-21T20:24:13.3682014Z             
2025-03-21T20:24:13.3682757Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.3683291Z             aten_view_copy_default_794: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_78, [8, 512]);  aten_relu_default_78 = None
2025-03-21T20:24:13.3684032Z             aten_permute_copy_default_397: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_19_ffn_2_output_dense_weight, [1, 0]);  p_encoder_layer_19_ffn_2_output_dense_weight = None
2025-03-21T20:24:13.3685117Z             aten_addmm_default_297: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_19_ffn_2_output_dense_bias, aten_view_copy_default_794, aten_permute_copy_default_397);  p_encoder_layer_19_ffn_2_output_dense_bias = aten_view_copy_default_794 = aten_permute_copy_default_397 = None
2025-03-21T20:24:13.3685685Z             aten_view_copy_default_795: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_297, [1, 8, 128]);  aten_addmm_default_297 = None
2025-03-21T20:24:13.3685800Z             
2025-03-21T20:24:13.3686669Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.3687305Z             aten_add_tensor_297: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_795, aten_add_tensor_296);  aten_view_copy_default_795 = aten_add_tensor_296 = None
2025-03-21T20:24:13.3687411Z             
2025-03-21T20:24:13.3688180Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.3688994Z             aten_mul_tensor_159: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_297, p_encoder_layer_19_ffn_2_output_layernorm_weight);  aten_add_tensor_297 = p_encoder_layer_19_ffn_2_output_layernorm_weight = None
2025-03-21T20:24:13.3689775Z             aten_add_tensor_298: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_159, p_encoder_layer_19_ffn_2_output_layernorm_bias);  aten_mul_tensor_159 = p_encoder_layer_19_ffn_2_output_layernorm_bias = None
2025-03-21T20:24:13.3689877Z             
2025-03-21T20:24:13.3690610Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.3691044Z             aten_view_copy_default_796: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_298, [8, 128])
2025-03-21T20:24:13.3691791Z             aten_permute_copy_default_398: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_19_intermediate_dense_weight, [1, 0]);  p_encoder_layer_19_intermediate_dense_weight = None
2025-03-21T20:24:13.3692891Z             aten_addmm_default_298: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_19_intermediate_dense_bias, aten_view_copy_default_796, aten_permute_copy_default_398);  p_encoder_layer_19_intermediate_dense_bias = aten_view_copy_default_796 = aten_permute_copy_default_398 = None
2025-03-21T20:24:13.3693452Z             aten_view_copy_default_797: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_298, [1, 8, 512]);  aten_addmm_default_298 = None
2025-03-21T20:24:13.3693550Z             
2025-03-21T20:24:13.3694346Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.3694870Z             aten_relu_default_79: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_797);  aten_view_copy_default_797 = None
2025-03-21T20:24:13.3694961Z             
2025-03-21T20:24:13.3695717Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:415 in forward, code: layer_output = self.dense(intermediate_states)
2025-03-21T20:24:13.3696257Z             aten_view_copy_default_798: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_79, [8, 512]);  aten_relu_default_79 = None
2025-03-21T20:24:13.3696982Z             aten_permute_copy_default_399: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_19_output_dense_weight, [1, 0]);  p_encoder_layer_19_output_dense_weight = None
2025-03-21T20:24:13.3698011Z             aten_addmm_default_299: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_19_output_dense_bias, aten_view_copy_default_798, aten_permute_copy_default_399);  p_encoder_layer_19_output_dense_bias = aten_view_copy_default_798 = aten_permute_copy_default_399 = None
2025-03-21T20:24:13.3698594Z             aten_view_copy_default_799: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_299, [1, 8, 128]);  aten_addmm_default_299 = None
2025-03-21T20:24:13.3698718Z             
2025-03-21T20:24:13.3699537Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:420 in forward, code: layer_output = self.LayerNorm(layer_output + residual_tensor_1)
2025-03-21T20:24:13.3700207Z             aten_add_tensor_299: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_799, aten_add_tensor_298);  aten_view_copy_default_799 = aten_add_tensor_298 = None
2025-03-21T20:24:13.3700301Z             
2025-03-21T20:24:13.3701059Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.3701831Z             aten_mul_tensor_160: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_299, p_encoder_layer_19_output_layernorm_weight);  aten_add_tensor_299 = p_encoder_layer_19_output_layernorm_weight = None
2025-03-21T20:24:13.3702785Z             aten_add_tensor_300: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_160, p_encoder_layer_19_output_layernorm_bias);  aten_mul_tensor_160 = p_encoder_layer_19_output_layernorm_bias = None
2025-03-21T20:24:13.3702877Z             
2025-03-21T20:24:13.3703622Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:395 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.3704144Z             aten_view_copy_default_800: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_300, [8, 128]);  aten_add_tensor_300 = None
2025-03-21T20:24:13.3704940Z             aten_permute_copy_default_400: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_19_output_bottleneck_dense_weight, [1, 0]);  p_encoder_layer_19_output_bottleneck_dense_weight = None
2025-03-21T20:24:13.3706061Z             aten_addmm_default_300: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_19_output_bottleneck_dense_bias, aten_view_copy_default_800, aten_permute_copy_default_400);  p_encoder_layer_19_output_bottleneck_dense_bias = aten_view_copy_default_800 = aten_permute_copy_default_400 = None
2025-03-21T20:24:13.3706634Z             aten_view_copy_default_801: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_300, [1, 8, 512]);  aten_addmm_default_300 = None
2025-03-21T20:24:13.3706724Z             
2025-03-21T20:24:13.3707488Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:396 in forward, code: layer_outputs = self.dropout(layer_outputs)
2025-03-21T20:24:13.3708010Z             aten_clone_default_60: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_801);  aten_view_copy_default_801 = None
2025-03-21T20:24:13.3708115Z             
2025-03-21T20:24:13.3708980Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:397 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.3709599Z             aten_add_tensor_301: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_60, aten_add_tensor_287);  aten_clone_default_60 = aten_add_tensor_287 = None
2025-03-21T20:24:13.3709690Z             
2025-03-21T20:24:13.3710437Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.3711376Z             aten_mul_tensor_161: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_301, p_encoder_layer_19_output_bottleneck_layernorm_weight);  aten_add_tensor_301 = p_encoder_layer_19_output_bottleneck_layernorm_weight = None
2025-03-21T20:24:13.3712245Z             aten_add_tensor_302: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_161, p_encoder_layer_19_output_bottleneck_layernorm_bias);  aten_mul_tensor_161 = p_encoder_layer_19_output_bottleneck_layernorm_bias = None
2025-03-21T20:24:13.3712344Z             
2025-03-21T20:24:13.3713151Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:432 in forward, code: layer_input = self.dense(hidden_states)
2025-03-21T20:24:13.3713591Z             aten_view_copy_default_802: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_302, [8, 512])
2025-03-21T20:24:13.3714363Z             aten_permute_copy_default_401: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_20_bottleneck_input_dense_weight, [1, 0]);  p_encoder_layer_20_bottleneck_input_dense_weight = None
2025-03-21T20:24:13.3715490Z             aten_addmm_default_301: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_20_bottleneck_input_dense_bias, aten_view_copy_default_802, aten_permute_copy_default_401);  p_encoder_layer_20_bottleneck_input_dense_bias = aten_view_copy_default_802 = aten_permute_copy_default_401 = None
2025-03-21T20:24:13.3716050Z             aten_view_copy_default_803: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_301, [1, 8, 128]);  aten_addmm_default_301 = None
2025-03-21T20:24:13.3716152Z             
2025-03-21T20:24:13.3716903Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.3717830Z             aten_mul_tensor_162: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_803, p_encoder_layer_20_bottleneck_input_layernorm_weight);  aten_view_copy_default_803 = p_encoder_layer_20_bottleneck_input_layernorm_weight = None
2025-03-21T20:24:13.3718662Z             aten_add_tensor_303: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_162, p_encoder_layer_20_bottleneck_input_layernorm_bias);  aten_mul_tensor_162 = p_encoder_layer_20_bottleneck_input_layernorm_bias = None
2025-03-21T20:24:13.3718763Z             
2025-03-21T20:24:13.3719490Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:432 in forward, code: layer_input = self.dense(hidden_states)
2025-03-21T20:24:13.3719930Z             aten_view_copy_default_804: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_302, [8, 512])
2025-03-21T20:24:13.3720738Z             aten_permute_copy_default_402: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_20_bottleneck_attention_dense_weight, [1, 0]);  p_encoder_layer_20_bottleneck_attention_dense_weight = None
2025-03-21T20:24:13.3721932Z             aten_addmm_default_302: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_20_bottleneck_attention_dense_bias, aten_view_copy_default_804, aten_permute_copy_default_402);  p_encoder_layer_20_bottleneck_attention_dense_bias = aten_view_copy_default_804 = aten_permute_copy_default_402 = None
2025-03-21T20:24:13.3722489Z             aten_view_copy_default_805: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_302, [1, 8, 128]);  aten_addmm_default_302 = None
2025-03-21T20:24:13.3722617Z             
2025-03-21T20:24:13.3723366Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.3724346Z             aten_mul_tensor_163: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_805, p_encoder_layer_20_bottleneck_attention_layernorm_weight);  aten_view_copy_default_805 = p_encoder_layer_20_bottleneck_attention_layernorm_weight = None
2025-03-21T20:24:13.3725235Z             aten_add_tensor_304: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_163, p_encoder_layer_20_bottleneck_attention_layernorm_bias);  aten_mul_tensor_163 = p_encoder_layer_20_bottleneck_attention_layernorm_bias = None
2025-03-21T20:24:13.3725336Z             
2025-03-21T20:24:13.3726082Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:275 in forward, code: mixed_query_layer = self.query(query_tensor)
2025-03-21T20:24:13.3726519Z             aten_view_copy_default_806: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_304, [8, 128])
2025-03-21T20:24:13.3727271Z             aten_permute_copy_default_403: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_20_attention_self_query_weight, [1, 0]);  p_encoder_layer_20_attention_self_query_weight = None
2025-03-21T20:24:13.3728375Z             aten_addmm_default_303: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_20_attention_self_query_bias, aten_view_copy_default_806, aten_permute_copy_default_403);  p_encoder_layer_20_attention_self_query_bias = aten_view_copy_default_806 = aten_permute_copy_default_403 = None
2025-03-21T20:24:13.3728937Z             aten_view_copy_default_807: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_303, [1, 8, 128]);  aten_addmm_default_303 = None
2025-03-21T20:24:13.3729044Z             
2025-03-21T20:24:13.3729764Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:276 in forward, code: mixed_key_layer = self.key(key_tensor)
2025-03-21T20:24:13.3730290Z             aten_view_copy_default_808: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_304, [8, 128]);  aten_add_tensor_304 = None
2025-03-21T20:24:13.3731042Z             aten_permute_copy_default_404: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_20_attention_self_key_weight, [1, 0]);  p_encoder_layer_20_attention_self_key_weight = None
2025-03-21T20:24:13.3732134Z             aten_addmm_default_304: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_20_attention_self_key_bias, aten_view_copy_default_808, aten_permute_copy_default_404);  p_encoder_layer_20_attention_self_key_bias = aten_view_copy_default_808 = aten_permute_copy_default_404 = None
2025-03-21T20:24:13.3732693Z             aten_view_copy_default_809: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_304, [1, 8, 128]);  aten_addmm_default_304 = None
2025-03-21T20:24:13.3732787Z             
2025-03-21T20:24:13.3733575Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:277 in forward, code: mixed_value_layer = self.value(value_tensor)
2025-03-21T20:24:13.3733999Z             aten_view_copy_default_810: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_302, [8, 512])
2025-03-21T20:24:13.3734759Z             aten_permute_copy_default_405: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_20_attention_self_value_weight, [1, 0]);  p_encoder_layer_20_attention_self_value_weight = None
2025-03-21T20:24:13.3735907Z             aten_addmm_default_305: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_20_attention_self_value_bias, aten_view_copy_default_810, aten_permute_copy_default_405);  p_encoder_layer_20_attention_self_value_bias = aten_view_copy_default_810 = aten_permute_copy_default_405 = None
2025-03-21T20:24:13.3736478Z             aten_view_copy_default_811: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_305, [1, 8, 128]);  aten_addmm_default_305 = None
2025-03-21T20:24:13.3736568Z             
2025-03-21T20:24:13.3737316Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.3737905Z             aten_view_copy_default_812: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_807, [1, 8, 4, 32]);  aten_view_copy_default_807 = None
2025-03-21T20:24:13.3738009Z             
2025-03-21T20:24:13.3738739Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.3739365Z             aten_permute_copy_default_406: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_812, [0, 2, 1, 3]);  aten_view_copy_default_812 = None
2025-03-21T20:24:13.3739461Z             
2025-03-21T20:24:13.3740180Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.3740765Z             aten_view_copy_default_813: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_809, [1, 8, 4, 32]);  aten_view_copy_default_809 = None
2025-03-21T20:24:13.3740873Z             
2025-03-21T20:24:13.3741604Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.3742218Z             aten_permute_copy_default_407: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_813, [0, 2, 1, 3]);  aten_view_copy_default_813 = None
2025-03-21T20:24:13.3742322Z             
2025-03-21T20:24:13.3743022Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.3743621Z             aten_view_copy_default_814: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_811, [1, 8, 4, 32]);  aten_view_copy_default_811 = None
2025-03-21T20:24:13.3743715Z             
2025-03-21T20:24:13.3744452Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.3745070Z             aten_permute_copy_default_408: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_814, [0, 2, 1, 3]);  aten_view_copy_default_814 = None
2025-03-21T20:24:13.3745197Z             
2025-03-21T20:24:13.3746068Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:284 in forward, code: attention_scores = torch.matmul(query_layer, key_layer.transpose(-1, -2))
2025-03-21T20:24:13.3746716Z             aten_permute_copy_default_409: "f32[1, 4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_permute_copy_default_407, [0, 1, 3, 2]);  aten_permute_copy_default_407 = None
2025-03-21T20:24:13.3747360Z             aten_expand_copy_default_80: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_406, [1, 4, 8, 32]);  aten_permute_copy_default_406 = None
2025-03-21T20:24:13.3747975Z             aten_view_copy_default_815: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_80, [4, 8, 32]);  aten_expand_copy_default_80 = None
2025-03-21T20:24:13.3748622Z             aten_expand_copy_default_81: "f32[1, 4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_409, [1, 4, 32, 8]);  aten_permute_copy_default_409 = None
2025-03-21T20:24:13.3749215Z             aten_view_copy_default_816: "f32[4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_81, [4, 32, 8]);  aten_expand_copy_default_81 = None
2025-03-21T20:24:13.3749906Z             aten_bmm_default_40: "f32[4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_815, aten_view_copy_default_816);  aten_view_copy_default_815 = aten_view_copy_default_816 = None
2025-03-21T20:24:13.3750456Z             aten_view_copy_default_817: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_40, [1, 4, 8, 8]);  aten_bmm_default_40 = None
2025-03-21T20:24:13.3750547Z             
2025-03-21T20:24:13.3751421Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:285 in forward, code: attention_scores = attention_scores / math.sqrt(self.attention_head_size)
2025-03-21T20:24:13.3752109Z             aten_div_tensor_20: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_div_Tensor(aten_view_copy_default_817, _lifted_tensor_constant23);  aten_view_copy_default_817 = _lifted_tensor_constant23 = None
2025-03-21T20:24:13.3752200Z             
2025-03-21T20:24:13.3753055Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:288 in forward, code: attention_scores = attention_scores + attention_mask
2025-03-21T20:24:13.3753559Z             aten_add_tensor_305: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_div_tensor_20, aten_mul_tensor);  aten_div_tensor_20 = None
2025-03-21T20:24:13.3753658Z             
2025-03-21T20:24:13.3754489Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:290 in forward, code: attention_probs = nn.functional.softmax(attention_scores, dim=-1)
2025-03-21T20:24:13.3755027Z             aten__softmax_default_20: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten__softmax_default(aten_add_tensor_305, -1, False);  aten_add_tensor_305 = None
2025-03-21T20:24:13.3755118Z             
2025-03-21T20:24:13.3755883Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:293 in forward, code: attention_probs = self.dropout(attention_probs)
2025-03-21T20:24:13.3756389Z             aten_clone_default_61: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten__softmax_default_20);  aten__softmax_default_20 = None
2025-03-21T20:24:13.3756494Z             
2025-03-21T20:24:13.3757286Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:297 in forward, code: context_layer = torch.matmul(attention_probs, value_layer)
2025-03-21T20:24:13.3757893Z             aten_expand_copy_default_82: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_clone_default_61, [1, 4, 8, 8]);  aten_clone_default_61 = None
2025-03-21T20:24:13.3758475Z             aten_view_copy_default_818: "f32[4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_82, [4, 8, 8]);  aten_expand_copy_default_82 = None
2025-03-21T20:24:13.3759131Z             aten_expand_copy_default_83: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_408, [1, 4, 8, 32]);  aten_permute_copy_default_408 = None
2025-03-21T20:24:13.3759740Z             aten_view_copy_default_819: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_83, [4, 8, 32]);  aten_expand_copy_default_83 = None
2025-03-21T20:24:13.3760469Z             aten_bmm_default_41: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_818, aten_view_copy_default_819);  aten_view_copy_default_818 = aten_view_copy_default_819 = None
2025-03-21T20:24:13.3761005Z             aten_view_copy_default_820: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_41, [1, 4, 8, 32]);  aten_bmm_default_41 = None
2025-03-21T20:24:13.3761096Z             
2025-03-21T20:24:13.3761921Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:298 in forward, code: context_layer = context_layer.permute(0, 2, 1, 3).contiguous()
2025-03-21T20:24:13.3762537Z             aten_permute_copy_default_410: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_820, [0, 2, 1, 3]);  aten_view_copy_default_820 = None
2025-03-21T20:24:13.3763254Z             aten_clone_default_62: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_permute_copy_default_410, memory_format = torch.contiguous_format);  aten_permute_copy_default_410 = None
2025-03-21T20:24:13.3763345Z             
2025-03-21T20:24:13.3764159Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:300 in forward, code: context_layer = context_layer.view(new_context_layer_shape)
2025-03-21T20:24:13.3764715Z             aten_view_copy_default_821: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_62, [1, 8, 128]);  aten_clone_default_62 = None
2025-03-21T20:24:13.3764813Z             
2025-03-21T20:24:13.3765544Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:315 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.3766130Z             aten_view_copy_default_822: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_821, [8, 128]);  aten_view_copy_default_821 = None
2025-03-21T20:24:13.3766901Z             aten_permute_copy_default_411: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_20_attention_output_dense_weight, [1, 0]);  p_encoder_layer_20_attention_output_dense_weight = None
2025-03-21T20:24:13.3768022Z             aten_addmm_default_306: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_20_attention_output_dense_bias, aten_view_copy_default_822, aten_permute_copy_default_411);  p_encoder_layer_20_attention_output_dense_bias = aten_view_copy_default_822 = aten_permute_copy_default_411 = None
2025-03-21T20:24:13.3768584Z             aten_view_copy_default_823: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_306, [1, 8, 128]);  aten_addmm_default_306 = None
2025-03-21T20:24:13.3768717Z             
2025-03-21T20:24:13.3769545Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:318 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.3770191Z             aten_add_tensor_306: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_823, aten_add_tensor_303);  aten_view_copy_default_823 = aten_add_tensor_303 = None
2025-03-21T20:24:13.3770284Z             
2025-03-21T20:24:13.3771063Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.3771941Z             aten_mul_tensor_164: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_306, p_encoder_layer_20_attention_output_layernorm_weight);  aten_add_tensor_306 = p_encoder_layer_20_attention_output_layernorm_weight = None
2025-03-21T20:24:13.3772804Z             aten_add_tensor_307: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_164, p_encoder_layer_20_attention_output_layernorm_bias);  aten_mul_tensor_164 = p_encoder_layer_20_attention_output_layernorm_bias = None
2025-03-21T20:24:13.3772899Z             
2025-03-21T20:24:13.3773643Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.3774069Z             aten_view_copy_default_824: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_307, [8, 128])
2025-03-21T20:24:13.3774854Z             aten_permute_copy_default_412: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_20_ffn_0_intermediate_dense_weight, [1, 0]);  p_encoder_layer_20_ffn_0_intermediate_dense_weight = None
2025-03-21T20:24:13.3775987Z             aten_addmm_default_307: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_20_ffn_0_intermediate_dense_bias, aten_view_copy_default_824, aten_permute_copy_default_412);  p_encoder_layer_20_ffn_0_intermediate_dense_bias = aten_view_copy_default_824 = aten_permute_copy_default_412 = None
2025-03-21T20:24:13.3776556Z             aten_view_copy_default_825: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_307, [1, 8, 512]);  aten_addmm_default_307 = None
2025-03-21T20:24:13.3776649Z             
2025-03-21T20:24:13.3777439Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.3777964Z             aten_relu_default_80: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_825);  aten_view_copy_default_825 = None
2025-03-21T20:24:13.3778055Z             
2025-03-21T20:24:13.3778799Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.3779338Z             aten_view_copy_default_826: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_80, [8, 512]);  aten_relu_default_80 = None
2025-03-21T20:24:13.3780080Z             aten_permute_copy_default_413: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_20_ffn_0_output_dense_weight, [1, 0]);  p_encoder_layer_20_ffn_0_output_dense_weight = None
2025-03-21T20:24:13.3781141Z             aten_addmm_default_308: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_20_ffn_0_output_dense_bias, aten_view_copy_default_826, aten_permute_copy_default_413);  p_encoder_layer_20_ffn_0_output_dense_bias = aten_view_copy_default_826 = aten_permute_copy_default_413 = None
2025-03-21T20:24:13.3781754Z             aten_view_copy_default_827: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_308, [1, 8, 128]);  aten_addmm_default_308 = None
2025-03-21T20:24:13.3781850Z             
2025-03-21T20:24:13.3782687Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.3783358Z             aten_add_tensor_308: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_827, aten_add_tensor_307);  aten_view_copy_default_827 = aten_add_tensor_307 = None
2025-03-21T20:24:13.3783462Z             
2025-03-21T20:24:13.3784237Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.3785083Z             aten_mul_tensor_165: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_308, p_encoder_layer_20_ffn_0_output_layernorm_weight);  aten_add_tensor_308 = p_encoder_layer_20_ffn_0_output_layernorm_weight = None
2025-03-21T20:24:13.3785867Z             aten_add_tensor_309: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_165, p_encoder_layer_20_ffn_0_output_layernorm_bias);  aten_mul_tensor_165 = p_encoder_layer_20_ffn_0_output_layernorm_bias = None
2025-03-21T20:24:13.3785971Z             
2025-03-21T20:24:13.3786707Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.3787140Z             aten_view_copy_default_828: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_309, [8, 128])
2025-03-21T20:24:13.3787921Z             aten_permute_copy_default_414: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_20_ffn_1_intermediate_dense_weight, [1, 0]);  p_encoder_layer_20_ffn_1_intermediate_dense_weight = None
2025-03-21T20:24:13.3789049Z             aten_addmm_default_309: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_20_ffn_1_intermediate_dense_bias, aten_view_copy_default_828, aten_permute_copy_default_414);  p_encoder_layer_20_ffn_1_intermediate_dense_bias = aten_view_copy_default_828 = aten_permute_copy_default_414 = None
2025-03-21T20:24:13.3789610Z             aten_view_copy_default_829: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_309, [1, 8, 512]);  aten_addmm_default_309 = None
2025-03-21T20:24:13.3789710Z             
2025-03-21T20:24:13.3790504Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.3791020Z             aten_relu_default_81: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_829);  aten_view_copy_default_829 = None
2025-03-21T20:24:13.3791123Z             
2025-03-21T20:24:13.3791845Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.3792395Z             aten_view_copy_default_830: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_81, [8, 512]);  aten_relu_default_81 = None
2025-03-21T20:24:13.3793211Z             aten_permute_copy_default_415: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_20_ffn_1_output_dense_weight, [1, 0]);  p_encoder_layer_20_ffn_1_output_dense_weight = None
2025-03-21T20:24:13.3794315Z             aten_addmm_default_310: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_20_ffn_1_output_dense_bias, aten_view_copy_default_830, aten_permute_copy_default_415);  p_encoder_layer_20_ffn_1_output_dense_bias = aten_view_copy_default_830 = aten_permute_copy_default_415 = None
2025-03-21T20:24:13.3794872Z             aten_view_copy_default_831: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_310, [1, 8, 128]);  aten_addmm_default_310 = None
2025-03-21T20:24:13.3795004Z             
2025-03-21T20:24:13.3795844Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.3796498Z             aten_add_tensor_310: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_831, aten_add_tensor_309);  aten_view_copy_default_831 = aten_add_tensor_309 = None
2025-03-21T20:24:13.3796590Z             
2025-03-21T20:24:13.3797376Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.3798182Z             aten_mul_tensor_166: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_310, p_encoder_layer_20_ffn_1_output_layernorm_weight);  aten_add_tensor_310 = p_encoder_layer_20_ffn_1_output_layernorm_weight = None
2025-03-21T20:24:13.3798983Z             aten_add_tensor_311: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_166, p_encoder_layer_20_ffn_1_output_layernorm_bias);  aten_mul_tensor_166 = p_encoder_layer_20_ffn_1_output_layernorm_bias = None
2025-03-21T20:24:13.3799071Z             
2025-03-21T20:24:13.3799811Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.3800235Z             aten_view_copy_default_832: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_311, [8, 128])
2025-03-21T20:24:13.3801025Z             aten_permute_copy_default_416: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_20_ffn_2_intermediate_dense_weight, [1, 0]);  p_encoder_layer_20_ffn_2_intermediate_dense_weight = None
2025-03-21T20:24:13.3802302Z             aten_addmm_default_311: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_20_ffn_2_intermediate_dense_bias, aten_view_copy_default_832, aten_permute_copy_default_416);  p_encoder_layer_20_ffn_2_intermediate_dense_bias = aten_view_copy_default_832 = aten_permute_copy_default_416 = None
2025-03-21T20:24:13.3802873Z             aten_view_copy_default_833: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_311, [1, 8, 512]);  aten_addmm_default_311 = None
2025-03-21T20:24:13.3802964Z             
2025-03-21T20:24:13.3803767Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.3804282Z             aten_relu_default_82: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_833);  aten_view_copy_default_833 = None
2025-03-21T20:24:13.3804372Z             
2025-03-21T20:24:13.3805116Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.3805651Z             aten_view_copy_default_834: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_82, [8, 512]);  aten_relu_default_82 = None
2025-03-21T20:24:13.3806438Z             aten_permute_copy_default_417: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_20_ffn_2_output_dense_weight, [1, 0]);  p_encoder_layer_20_ffn_2_output_dense_weight = None
2025-03-21T20:24:13.3807495Z             aten_addmm_default_312: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_20_ffn_2_output_dense_bias, aten_view_copy_default_834, aten_permute_copy_default_417);  p_encoder_layer_20_ffn_2_output_dense_bias = aten_view_copy_default_834 = aten_permute_copy_default_417 = None
2025-03-21T20:24:13.3808134Z             aten_view_copy_default_835: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_312, [1, 8, 128]);  aten_addmm_default_312 = None
2025-03-21T20:24:13.3808225Z             
2025-03-21T20:24:13.3809068Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.3809733Z             aten_add_tensor_312: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_835, aten_add_tensor_311);  aten_view_copy_default_835 = aten_add_tensor_311 = None
2025-03-21T20:24:13.3809834Z             
2025-03-21T20:24:13.3810580Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.3811398Z             aten_mul_tensor_167: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_312, p_encoder_layer_20_ffn_2_output_layernorm_weight);  aten_add_tensor_312 = p_encoder_layer_20_ffn_2_output_layernorm_weight = None
2025-03-21T20:24:13.3812180Z             aten_add_tensor_313: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_167, p_encoder_layer_20_ffn_2_output_layernorm_bias);  aten_mul_tensor_167 = p_encoder_layer_20_ffn_2_output_layernorm_bias = None
2025-03-21T20:24:13.3812278Z             
2025-03-21T20:24:13.3813008Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.3813436Z             aten_view_copy_default_836: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_313, [8, 128])
2025-03-21T20:24:13.3814186Z             aten_permute_copy_default_418: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_20_intermediate_dense_weight, [1, 0]);  p_encoder_layer_20_intermediate_dense_weight = None
2025-03-21T20:24:13.3815286Z             aten_addmm_default_313: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_20_intermediate_dense_bias, aten_view_copy_default_836, aten_permute_copy_default_418);  p_encoder_layer_20_intermediate_dense_bias = aten_view_copy_default_836 = aten_permute_copy_default_418 = None
2025-03-21T20:24:13.3815844Z             aten_view_copy_default_837: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_313, [1, 8, 512]);  aten_addmm_default_313 = None
2025-03-21T20:24:13.3815945Z             
2025-03-21T20:24:13.3816734Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.3817263Z             aten_relu_default_83: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_837);  aten_view_copy_default_837 = None
2025-03-21T20:24:13.3817354Z             
2025-03-21T20:24:13.3818138Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:415 in forward, code: layer_output = self.dense(intermediate_states)
2025-03-21T20:24:13.3818696Z             aten_view_copy_default_838: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_83, [8, 512]);  aten_relu_default_83 = None
2025-03-21T20:24:13.3819393Z             aten_permute_copy_default_419: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_20_output_dense_weight, [1, 0]);  p_encoder_layer_20_output_dense_weight = None
2025-03-21T20:24:13.3820479Z             aten_addmm_default_314: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_20_output_dense_bias, aten_view_copy_default_838, aten_permute_copy_default_419);  p_encoder_layer_20_output_dense_bias = aten_view_copy_default_838 = aten_permute_copy_default_419 = None
2025-03-21T20:24:13.3821048Z             aten_view_copy_default_839: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_314, [1, 8, 128]);  aten_addmm_default_314 = None
2025-03-21T20:24:13.3821139Z             
2025-03-21T20:24:13.3821995Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:420 in forward, code: layer_output = self.LayerNorm(layer_output + residual_tensor_1)
2025-03-21T20:24:13.3822643Z             aten_add_tensor_314: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_839, aten_add_tensor_313);  aten_view_copy_default_839 = aten_add_tensor_313 = None
2025-03-21T20:24:13.3822735Z             
2025-03-21T20:24:13.3823495Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.3824264Z             aten_mul_tensor_168: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_314, p_encoder_layer_20_output_layernorm_weight);  aten_add_tensor_314 = p_encoder_layer_20_output_layernorm_weight = None
2025-03-21T20:24:13.3825015Z             aten_add_tensor_315: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_168, p_encoder_layer_20_output_layernorm_bias);  aten_mul_tensor_168 = p_encoder_layer_20_output_layernorm_bias = None
2025-03-21T20:24:13.3825105Z             
2025-03-21T20:24:13.3825844Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:395 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.3826377Z             aten_view_copy_default_840: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_315, [8, 128]);  aten_add_tensor_315 = None
2025-03-21T20:24:13.3827164Z             aten_permute_copy_default_420: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_20_output_bottleneck_dense_weight, [1, 0]);  p_encoder_layer_20_output_bottleneck_dense_weight = None
2025-03-21T20:24:13.3828293Z             aten_addmm_default_315: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_20_output_bottleneck_dense_bias, aten_view_copy_default_840, aten_permute_copy_default_420);  p_encoder_layer_20_output_bottleneck_dense_bias = aten_view_copy_default_840 = aten_permute_copy_default_420 = None
2025-03-21T20:24:13.3828861Z             aten_view_copy_default_841: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_315, [1, 8, 512]);  aten_addmm_default_315 = None
2025-03-21T20:24:13.3828953Z             
2025-03-21T20:24:13.3829707Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:396 in forward, code: layer_outputs = self.dropout(layer_outputs)
2025-03-21T20:24:13.3830256Z             aten_clone_default_63: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_841);  aten_view_copy_default_841 = None
2025-03-21T20:24:13.3830358Z             
2025-03-21T20:24:13.3831174Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:397 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.3831793Z             aten_add_tensor_316: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_63, aten_add_tensor_302);  aten_clone_default_63 = aten_add_tensor_302 = None
2025-03-21T20:24:13.3831911Z             
2025-03-21T20:24:13.3832701Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.3833678Z             aten_mul_tensor_169: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_316, p_encoder_layer_20_output_bottleneck_layernorm_weight);  aten_add_tensor_316 = p_encoder_layer_20_output_bottleneck_layernorm_weight = None
2025-03-21T20:24:13.3834518Z             aten_add_tensor_317: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_169, p_encoder_layer_20_output_bottleneck_layernorm_bias);  aten_mul_tensor_169 = p_encoder_layer_20_output_bottleneck_layernorm_bias = None
2025-03-21T20:24:13.3834622Z             
2025-03-21T20:24:13.3835345Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:432 in forward, code: layer_input = self.dense(hidden_states)
2025-03-21T20:24:13.3835779Z             aten_view_copy_default_842: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_317, [8, 512])
2025-03-21T20:24:13.3836558Z             aten_permute_copy_default_421: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_21_bottleneck_input_dense_weight, [1, 0]);  p_encoder_layer_21_bottleneck_input_dense_weight = None
2025-03-21T20:24:13.3837689Z             aten_addmm_default_316: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_21_bottleneck_input_dense_bias, aten_view_copy_default_842, aten_permute_copy_default_421);  p_encoder_layer_21_bottleneck_input_dense_bias = aten_view_copy_default_842 = aten_permute_copy_default_421 = None
2025-03-21T20:24:13.3838251Z             aten_view_copy_default_843: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_316, [1, 8, 128]);  aten_addmm_default_316 = None
2025-03-21T20:24:13.3838352Z             
2025-03-21T20:24:13.3839103Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.3840028Z             aten_mul_tensor_170: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_843, p_encoder_layer_21_bottleneck_input_layernorm_weight);  aten_view_copy_default_843 = p_encoder_layer_21_bottleneck_input_layernorm_weight = None
2025-03-21T20:24:13.3840853Z             aten_add_tensor_318: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_170, p_encoder_layer_21_bottleneck_input_layernorm_bias);  aten_mul_tensor_170 = p_encoder_layer_21_bottleneck_input_layernorm_bias = None
2025-03-21T20:24:13.3840953Z             
2025-03-21T20:24:13.3841683Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:432 in forward, code: layer_input = self.dense(hidden_states)
2025-03-21T20:24:13.3842114Z             aten_view_copy_default_844: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_317, [8, 512])
2025-03-21T20:24:13.3842948Z             aten_permute_copy_default_422: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_21_bottleneck_attention_dense_weight, [1, 0]);  p_encoder_layer_21_bottleneck_attention_dense_weight = None
2025-03-21T20:24:13.3844107Z             aten_addmm_default_317: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_21_bottleneck_attention_dense_bias, aten_view_copy_default_844, aten_permute_copy_default_422);  p_encoder_layer_21_bottleneck_attention_dense_bias = aten_view_copy_default_844 = aten_permute_copy_default_422 = None
2025-03-21T20:24:13.3844712Z             aten_view_copy_default_845: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_317, [1, 8, 128]);  aten_addmm_default_317 = None
2025-03-21T20:24:13.3844821Z             
2025-03-21T20:24:13.3845563Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.3846537Z             aten_mul_tensor_171: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_845, p_encoder_layer_21_bottleneck_attention_layernorm_weight);  aten_view_copy_default_845 = p_encoder_layer_21_bottleneck_attention_layernorm_weight = None
2025-03-21T20:24:13.3847399Z             aten_add_tensor_319: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_171, p_encoder_layer_21_bottleneck_attention_layernorm_bias);  aten_mul_tensor_171 = p_encoder_layer_21_bottleneck_attention_layernorm_bias = None
2025-03-21T20:24:13.3847501Z             
2025-03-21T20:24:13.3848243Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:275 in forward, code: mixed_query_layer = self.query(query_tensor)
2025-03-21T20:24:13.3848679Z             aten_view_copy_default_846: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_319, [8, 128])
2025-03-21T20:24:13.3849426Z             aten_permute_copy_default_423: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_21_attention_self_query_weight, [1, 0]);  p_encoder_layer_21_attention_self_query_weight = None
2025-03-21T20:24:13.3850527Z             aten_addmm_default_318: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_21_attention_self_query_bias, aten_view_copy_default_846, aten_permute_copy_default_423);  p_encoder_layer_21_attention_self_query_bias = aten_view_copy_default_846 = aten_permute_copy_default_423 = None
2025-03-21T20:24:13.3851090Z             aten_view_copy_default_847: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_318, [1, 8, 128]);  aten_addmm_default_318 = None
2025-03-21T20:24:13.3851191Z             
2025-03-21T20:24:13.3851909Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:276 in forward, code: mixed_key_layer = self.key(key_tensor)
2025-03-21T20:24:13.3852445Z             aten_view_copy_default_848: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_319, [8, 128]);  aten_add_tensor_319 = None
2025-03-21T20:24:13.3853173Z             aten_permute_copy_default_424: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_21_attention_self_key_weight, [1, 0]);  p_encoder_layer_21_attention_self_key_weight = None
2025-03-21T20:24:13.3854251Z             aten_addmm_default_319: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_21_attention_self_key_bias, aten_view_copy_default_848, aten_permute_copy_default_424);  p_encoder_layer_21_attention_self_key_bias = aten_view_copy_default_848 = aten_permute_copy_default_424 = None
2025-03-21T20:24:13.3854853Z             aten_view_copy_default_849: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_319, [1, 8, 128]);  aten_addmm_default_319 = None
2025-03-21T20:24:13.3854953Z             
2025-03-21T20:24:13.3855697Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:277 in forward, code: mixed_value_layer = self.value(value_tensor)
2025-03-21T20:24:13.3856115Z             aten_view_copy_default_850: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_317, [8, 512])
2025-03-21T20:24:13.3856922Z             aten_permute_copy_default_425: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_21_attention_self_value_weight, [1, 0]);  p_encoder_layer_21_attention_self_value_weight = None
2025-03-21T20:24:13.3858033Z             aten_addmm_default_320: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_21_attention_self_value_bias, aten_view_copy_default_850, aten_permute_copy_default_425);  p_encoder_layer_21_attention_self_value_bias = aten_view_copy_default_850 = aten_permute_copy_default_425 = None
2025-03-21T20:24:13.3858604Z             aten_view_copy_default_851: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_320, [1, 8, 128]);  aten_addmm_default_320 = None
2025-03-21T20:24:13.3858693Z             
2025-03-21T20:24:13.3859418Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.3860013Z             aten_view_copy_default_852: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_847, [1, 8, 4, 32]);  aten_view_copy_default_847 = None
2025-03-21T20:24:13.3868136Z             
2025-03-21T20:24:13.3868973Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.3869617Z             aten_permute_copy_default_426: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_852, [0, 2, 1, 3]);  aten_view_copy_default_852 = None
2025-03-21T20:24:13.3869714Z             
2025-03-21T20:24:13.3870440Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.3871034Z             aten_view_copy_default_853: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_849, [1, 8, 4, 32]);  aten_view_copy_default_849 = None
2025-03-21T20:24:13.3871135Z             
2025-03-21T20:24:13.3871866Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.3872488Z             aten_permute_copy_default_427: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_853, [0, 2, 1, 3]);  aten_view_copy_default_853 = None
2025-03-21T20:24:13.3872581Z             
2025-03-21T20:24:13.3873414Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.3874000Z             aten_view_copy_default_854: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_851, [1, 8, 4, 32]);  aten_view_copy_default_851 = None
2025-03-21T20:24:13.3874099Z             
2025-03-21T20:24:13.3874828Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.3875520Z             aten_permute_copy_default_428: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_854, [0, 2, 1, 3]);  aten_view_copy_default_854 = None
2025-03-21T20:24:13.3875618Z             
2025-03-21T20:24:13.3876486Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:284 in forward, code: attention_scores = torch.matmul(query_layer, key_layer.transpose(-1, -2))
2025-03-21T20:24:13.3877168Z             aten_permute_copy_default_429: "f32[1, 4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_permute_copy_default_427, [0, 1, 3, 2]);  aten_permute_copy_default_427 = None
2025-03-21T20:24:13.3877822Z             aten_expand_copy_default_84: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_426, [1, 4, 8, 32]);  aten_permute_copy_default_426 = None
2025-03-21T20:24:13.3878443Z             aten_view_copy_default_855: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_84, [4, 8, 32]);  aten_expand_copy_default_84 = None
2025-03-21T20:24:13.3879062Z             aten_expand_copy_default_85: "f32[1, 4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_429, [1, 4, 32, 8]);  aten_permute_copy_default_429 = None
2025-03-21T20:24:13.3879649Z             aten_view_copy_default_856: "f32[4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_85, [4, 32, 8]);  aten_expand_copy_default_85 = None
2025-03-21T20:24:13.3880340Z             aten_bmm_default_42: "f32[4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_855, aten_view_copy_default_856);  aten_view_copy_default_855 = aten_view_copy_default_856 = None
2025-03-21T20:24:13.3880882Z             aten_view_copy_default_857: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_42, [1, 4, 8, 8]);  aten_bmm_default_42 = None
2025-03-21T20:24:13.3880975Z             
2025-03-21T20:24:13.3881848Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:285 in forward, code: attention_scores = attention_scores / math.sqrt(self.attention_head_size)
2025-03-21T20:24:13.3882538Z             aten_div_tensor_21: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_div_Tensor(aten_view_copy_default_857, _lifted_tensor_constant24);  aten_view_copy_default_857 = _lifted_tensor_constant24 = None
2025-03-21T20:24:13.3882635Z             
2025-03-21T20:24:13.3883413Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:288 in forward, code: attention_scores = attention_scores + attention_mask
2025-03-21T20:24:13.3883917Z             aten_add_tensor_320: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_div_tensor_21, aten_mul_tensor);  aten_div_tensor_21 = None
2025-03-21T20:24:13.3884010Z             
2025-03-21T20:24:13.3884855Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:290 in forward, code: attention_probs = nn.functional.softmax(attention_scores, dim=-1)
2025-03-21T20:24:13.3885380Z             aten__softmax_default_21: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten__softmax_default(aten_add_tensor_320, -1, False);  aten_add_tensor_320 = None
2025-03-21T20:24:13.3885475Z             
2025-03-21T20:24:13.3886239Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:293 in forward, code: attention_probs = self.dropout(attention_probs)
2025-03-21T20:24:13.3886773Z             aten_clone_default_64: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten__softmax_default_21);  aten__softmax_default_21 = None
2025-03-21T20:24:13.3886864Z             
2025-03-21T20:24:13.3887658Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:297 in forward, code: context_layer = torch.matmul(attention_probs, value_layer)
2025-03-21T20:24:13.3888227Z             aten_expand_copy_default_86: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_clone_default_64, [1, 4, 8, 8]);  aten_clone_default_64 = None
2025-03-21T20:24:13.3888832Z             aten_view_copy_default_858: "f32[4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_86, [4, 8, 8]);  aten_expand_copy_default_86 = None
2025-03-21T20:24:13.3889479Z             aten_expand_copy_default_87: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_428, [1, 4, 8, 32]);  aten_permute_copy_default_428 = None
2025-03-21T20:24:13.3890090Z             aten_view_copy_default_859: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_87, [4, 8, 32]);  aten_expand_copy_default_87 = None
2025-03-21T20:24:13.3890789Z             aten_bmm_default_43: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_858, aten_view_copy_default_859);  aten_view_copy_default_858 = aten_view_copy_default_859 = None
2025-03-21T20:24:13.3891332Z             aten_view_copy_default_860: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_43, [1, 4, 8, 32]);  aten_bmm_default_43 = None
2025-03-21T20:24:13.3891430Z             
2025-03-21T20:24:13.3892250Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:298 in forward, code: context_layer = context_layer.permute(0, 2, 1, 3).contiguous()
2025-03-21T20:24:13.3892873Z             aten_permute_copy_default_430: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_860, [0, 2, 1, 3]);  aten_view_copy_default_860 = None
2025-03-21T20:24:13.3893581Z             aten_clone_default_65: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_permute_copy_default_430, memory_format = torch.contiguous_format);  aten_permute_copy_default_430 = None
2025-03-21T20:24:13.3893681Z             
2025-03-21T20:24:13.3894484Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:300 in forward, code: context_layer = context_layer.view(new_context_layer_shape)
2025-03-21T20:24:13.3895051Z             aten_view_copy_default_861: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_65, [1, 8, 128]);  aten_clone_default_65 = None
2025-03-21T20:24:13.3895152Z             
2025-03-21T20:24:13.3895890Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:315 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.3896470Z             aten_view_copy_default_862: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_861, [8, 128]);  aten_view_copy_default_861 = None
2025-03-21T20:24:13.3897254Z             aten_permute_copy_default_431: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_21_attention_output_dense_weight, [1, 0]);  p_encoder_layer_21_attention_output_dense_weight = None
2025-03-21T20:24:13.3898382Z             aten_addmm_default_321: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_21_attention_output_dense_bias, aten_view_copy_default_862, aten_permute_copy_default_431);  p_encoder_layer_21_attention_output_dense_bias = aten_view_copy_default_862 = aten_permute_copy_default_431 = None
2025-03-21T20:24:13.3898983Z             aten_view_copy_default_863: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_321, [1, 8, 128]);  aten_addmm_default_321 = None
2025-03-21T20:24:13.3899074Z             
2025-03-21T20:24:13.3899899Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:318 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.3900761Z             aten_add_tensor_321: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_863, aten_add_tensor_318);  aten_view_copy_default_863 = aten_add_tensor_318 = None
2025-03-21T20:24:13.3900854Z             
2025-03-21T20:24:13.3901644Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.3902820Z             aten_mul_tensor_172: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_321, p_encoder_layer_21_attention_output_layernorm_weight);  aten_add_tensor_321 = p_encoder_layer_21_attention_output_layernorm_weight = None
2025-03-21T20:24:13.3903658Z             aten_add_tensor_322: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_172, p_encoder_layer_21_attention_output_layernorm_bias);  aten_mul_tensor_172 = p_encoder_layer_21_attention_output_layernorm_bias = None
2025-03-21T20:24:13.3903754Z             
2025-03-21T20:24:13.3904490Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.3904916Z             aten_view_copy_default_864: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_322, [8, 128])
2025-03-21T20:24:13.3905716Z             aten_permute_copy_default_432: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_21_ffn_0_intermediate_dense_weight, [1, 0]);  p_encoder_layer_21_ffn_0_intermediate_dense_weight = None
2025-03-21T20:24:13.3906841Z             aten_addmm_default_322: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_21_ffn_0_intermediate_dense_bias, aten_view_copy_default_864, aten_permute_copy_default_432);  p_encoder_layer_21_ffn_0_intermediate_dense_bias = aten_view_copy_default_864 = aten_permute_copy_default_432 = None
2025-03-21T20:24:13.3907412Z             aten_view_copy_default_865: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_322, [1, 8, 512]);  aten_addmm_default_322 = None
2025-03-21T20:24:13.3907509Z             
2025-03-21T20:24:13.3908302Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.3908823Z             aten_relu_default_84: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_865);  aten_view_copy_default_865 = None
2025-03-21T20:24:13.3908921Z             
2025-03-21T20:24:13.3909649Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.3910196Z             aten_view_copy_default_866: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_84, [8, 512]);  aten_relu_default_84 = None
2025-03-21T20:24:13.3910929Z             aten_permute_copy_default_433: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_21_ffn_0_output_dense_weight, [1, 0]);  p_encoder_layer_21_ffn_0_output_dense_weight = None
2025-03-21T20:24:13.3912043Z             aten_addmm_default_323: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_21_ffn_0_output_dense_bias, aten_view_copy_default_866, aten_permute_copy_default_433);  p_encoder_layer_21_ffn_0_output_dense_bias = aten_view_copy_default_866 = aten_permute_copy_default_433 = None
2025-03-21T20:24:13.3912606Z             aten_view_copy_default_867: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_323, [1, 8, 128]);  aten_addmm_default_323 = None
2025-03-21T20:24:13.3912741Z             
2025-03-21T20:24:13.3913690Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.3914344Z             aten_add_tensor_323: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_867, aten_add_tensor_322);  aten_view_copy_default_867 = aten_add_tensor_322 = None
2025-03-21T20:24:13.3914440Z             
2025-03-21T20:24:13.3915210Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.3916028Z             aten_mul_tensor_173: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_323, p_encoder_layer_21_ffn_0_output_layernorm_weight);  aten_add_tensor_323 = p_encoder_layer_21_ffn_0_output_layernorm_weight = None
2025-03-21T20:24:13.3916812Z             aten_add_tensor_324: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_173, p_encoder_layer_21_ffn_0_output_layernorm_bias);  aten_mul_tensor_173 = p_encoder_layer_21_ffn_0_output_layernorm_bias = None
2025-03-21T20:24:13.3916912Z             
2025-03-21T20:24:13.3917647Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.3918076Z             aten_view_copy_default_868: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_324, [8, 128])
2025-03-21T20:24:13.3918860Z             aten_permute_copy_default_434: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_21_ffn_1_intermediate_dense_weight, [1, 0]);  p_encoder_layer_21_ffn_1_intermediate_dense_weight = None
2025-03-21T20:24:13.3919994Z             aten_addmm_default_324: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_21_ffn_1_intermediate_dense_bias, aten_view_copy_default_868, aten_permute_copy_default_434);  p_encoder_layer_21_ffn_1_intermediate_dense_bias = aten_view_copy_default_868 = aten_permute_copy_default_434 = None
2025-03-21T20:24:13.3920554Z             aten_view_copy_default_869: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_324, [1, 8, 512]);  aten_addmm_default_324 = None
2025-03-21T20:24:13.3920653Z             
2025-03-21T20:24:13.3921448Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.3921971Z             aten_relu_default_85: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_869);  aten_view_copy_default_869 = None
2025-03-21T20:24:13.3922065Z             
2025-03-21T20:24:13.3922805Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.3923339Z             aten_view_copy_default_870: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_85, [8, 512]);  aten_relu_default_85 = None
2025-03-21T20:24:13.3924105Z             aten_permute_copy_default_435: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_21_ffn_1_output_dense_weight, [1, 0]);  p_encoder_layer_21_ffn_1_output_dense_weight = None
2025-03-21T20:24:13.3925167Z             aten_addmm_default_325: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_21_ffn_1_output_dense_bias, aten_view_copy_default_870, aten_permute_copy_default_435);  p_encoder_layer_21_ffn_1_output_dense_bias = aten_view_copy_default_870 = aten_permute_copy_default_435 = None
2025-03-21T20:24:13.3925793Z             aten_view_copy_default_871: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_325, [1, 8, 128]);  aten_addmm_default_325 = None
2025-03-21T20:24:13.3925884Z             
2025-03-21T20:24:13.3926716Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.3927380Z             aten_add_tensor_325: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_871, aten_add_tensor_324);  aten_view_copy_default_871 = aten_add_tensor_324 = None
2025-03-21T20:24:13.3927480Z             
2025-03-21T20:24:13.3928229Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.3929048Z             aten_mul_tensor_174: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_325, p_encoder_layer_21_ffn_1_output_layernorm_weight);  aten_add_tensor_325 = p_encoder_layer_21_ffn_1_output_layernorm_weight = None
2025-03-21T20:24:13.3929832Z             aten_add_tensor_326: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_174, p_encoder_layer_21_ffn_1_output_layernorm_bias);  aten_mul_tensor_174 = p_encoder_layer_21_ffn_1_output_layernorm_bias = None
2025-03-21T20:24:13.3929932Z             
2025-03-21T20:24:13.3930675Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.3931097Z             aten_view_copy_default_872: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_326, [8, 128])
2025-03-21T20:24:13.3931894Z             aten_permute_copy_default_436: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_21_ffn_2_intermediate_dense_weight, [1, 0]);  p_encoder_layer_21_ffn_2_intermediate_dense_weight = None
2025-03-21T20:24:13.3933019Z             aten_addmm_default_326: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_21_ffn_2_intermediate_dense_bias, aten_view_copy_default_872, aten_permute_copy_default_436);  p_encoder_layer_21_ffn_2_intermediate_dense_bias = aten_view_copy_default_872 = aten_permute_copy_default_436 = None
2025-03-21T20:24:13.3933590Z             aten_view_copy_default_873: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_326, [1, 8, 512]);  aten_addmm_default_326 = None
2025-03-21T20:24:13.3933679Z             
2025-03-21T20:24:13.3934472Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.3934990Z             aten_relu_default_86: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_873);  aten_view_copy_default_873 = None
2025-03-21T20:24:13.3935110Z             
2025-03-21T20:24:13.3935841Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.3936381Z             aten_view_copy_default_874: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_86, [8, 512]);  aten_relu_default_86 = None
2025-03-21T20:24:13.3937110Z             aten_permute_copy_default_437: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_21_ffn_2_output_dense_weight, [1, 0]);  p_encoder_layer_21_ffn_2_output_dense_weight = None
2025-03-21T20:24:13.3938228Z             aten_addmm_default_327: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_21_ffn_2_output_dense_bias, aten_view_copy_default_874, aten_permute_copy_default_437);  p_encoder_layer_21_ffn_2_output_dense_bias = aten_view_copy_default_874 = aten_permute_copy_default_437 = None
2025-03-21T20:24:13.3938788Z             aten_view_copy_default_875: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_327, [1, 8, 128]);  aten_addmm_default_327 = None
2025-03-21T20:24:13.3938915Z             
2025-03-21T20:24:13.3939746Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.3940390Z             aten_add_tensor_327: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_875, aten_add_tensor_326);  aten_view_copy_default_875 = aten_add_tensor_326 = None
2025-03-21T20:24:13.3940481Z             
2025-03-21T20:24:13.3941459Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.3942306Z             aten_mul_tensor_175: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_327, p_encoder_layer_21_ffn_2_output_layernorm_weight);  aten_add_tensor_327 = p_encoder_layer_21_ffn_2_output_layernorm_weight = None
2025-03-21T20:24:13.3943099Z             aten_add_tensor_328: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_175, p_encoder_layer_21_ffn_2_output_layernorm_bias);  aten_mul_tensor_175 = p_encoder_layer_21_ffn_2_output_layernorm_bias = None
2025-03-21T20:24:13.3943192Z             
2025-03-21T20:24:13.3943941Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.3944367Z             aten_view_copy_default_876: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_328, [8, 128])
2025-03-21T20:24:13.3945111Z             aten_permute_copy_default_438: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_21_intermediate_dense_weight, [1, 0]);  p_encoder_layer_21_intermediate_dense_weight = None
2025-03-21T20:24:13.3946213Z             aten_addmm_default_328: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_21_intermediate_dense_bias, aten_view_copy_default_876, aten_permute_copy_default_438);  p_encoder_layer_21_intermediate_dense_bias = aten_view_copy_default_876 = aten_permute_copy_default_438 = None
2025-03-21T20:24:13.3946794Z             aten_view_copy_default_877: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_328, [1, 8, 512]);  aten_addmm_default_328 = None
2025-03-21T20:24:13.3946889Z             
2025-03-21T20:24:13.3947680Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.3948236Z             aten_relu_default_87: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_877);  aten_view_copy_default_877 = None
2025-03-21T20:24:13.3948330Z             
2025-03-21T20:24:13.3949096Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:415 in forward, code: layer_output = self.dense(intermediate_states)
2025-03-21T20:24:13.3949634Z             aten_view_copy_default_878: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_87, [8, 512]);  aten_relu_default_87 = None
2025-03-21T20:24:13.3950385Z             aten_permute_copy_default_439: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_21_output_dense_weight, [1, 0]);  p_encoder_layer_21_output_dense_weight = None
2025-03-21T20:24:13.3951435Z             aten_addmm_default_329: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_21_output_dense_bias, aten_view_copy_default_878, aten_permute_copy_default_439);  p_encoder_layer_21_output_dense_bias = aten_view_copy_default_878 = aten_permute_copy_default_439 = None
2025-03-21T20:24:13.3952000Z             aten_view_copy_default_879: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_329, [1, 8, 128]);  aten_addmm_default_329 = None
2025-03-21T20:24:13.3952090Z             
2025-03-21T20:24:13.3952916Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:420 in forward, code: layer_output = self.LayerNorm(layer_output + residual_tensor_1)
2025-03-21T20:24:13.3953641Z             aten_add_tensor_329: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_879, aten_add_tensor_328);  aten_view_copy_default_879 = aten_add_tensor_328 = None
2025-03-21T20:24:13.3953742Z             
2025-03-21T20:24:13.3954490Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.3955272Z             aten_mul_tensor_176: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_329, p_encoder_layer_21_output_layernorm_weight);  aten_add_tensor_329 = p_encoder_layer_21_output_layernorm_weight = None
2025-03-21T20:24:13.3956017Z             aten_add_tensor_330: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_176, p_encoder_layer_21_output_layernorm_bias);  aten_mul_tensor_176 = p_encoder_layer_21_output_layernorm_bias = None
2025-03-21T20:24:13.3956116Z             
2025-03-21T20:24:13.3956850Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:395 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.3957385Z             aten_view_copy_default_880: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_330, [8, 128]);  aten_add_tensor_330 = None
2025-03-21T20:24:13.3958164Z             aten_permute_copy_default_440: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_21_output_bottleneck_dense_weight, [1, 0]);  p_encoder_layer_21_output_bottleneck_dense_weight = None
2025-03-21T20:24:13.3959308Z             aten_addmm_default_330: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_21_output_bottleneck_dense_bias, aten_view_copy_default_880, aten_permute_copy_default_440);  p_encoder_layer_21_output_bottleneck_dense_bias = aten_view_copy_default_880 = aten_permute_copy_default_440 = None
2025-03-21T20:24:13.3959871Z             aten_view_copy_default_881: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_330, [1, 8, 512]);  aten_addmm_default_330 = None
2025-03-21T20:24:13.3959995Z             
2025-03-21T20:24:13.3960742Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:396 in forward, code: layer_outputs = self.dropout(layer_outputs)
2025-03-21T20:24:13.3961263Z             aten_clone_default_66: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_881);  aten_view_copy_default_881 = None
2025-03-21T20:24:13.3961363Z             
2025-03-21T20:24:13.3962208Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:397 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.3962847Z             aten_add_tensor_331: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_66, aten_add_tensor_317);  aten_clone_default_66 = aten_add_tensor_317 = None
2025-03-21T20:24:13.3962942Z             
2025-03-21T20:24:13.3963716Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.3964581Z             aten_mul_tensor_177: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_331, p_encoder_layer_21_output_bottleneck_layernorm_weight);  aten_add_tensor_331 = p_encoder_layer_21_output_bottleneck_layernorm_weight = None
2025-03-21T20:24:13.3965426Z             aten_add_tensor_332: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_177, p_encoder_layer_21_output_bottleneck_layernorm_bias);  aten_mul_tensor_177 = p_encoder_layer_21_output_bottleneck_layernorm_bias = None
2025-03-21T20:24:13.3965518Z             
2025-03-21T20:24:13.3966248Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:432 in forward, code: layer_input = self.dense(hidden_states)
2025-03-21T20:24:13.3966675Z             aten_view_copy_default_882: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_332, [8, 512])
2025-03-21T20:24:13.3967459Z             aten_permute_copy_default_441: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_22_bottleneck_input_dense_weight, [1, 0]);  p_encoder_layer_22_bottleneck_input_dense_weight = None
2025-03-21T20:24:13.3968590Z             aten_addmm_default_331: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_22_bottleneck_input_dense_bias, aten_view_copy_default_882, aten_permute_copy_default_441);  p_encoder_layer_22_bottleneck_input_dense_bias = aten_view_copy_default_882 = aten_permute_copy_default_441 = None
2025-03-21T20:24:13.3969160Z             aten_view_copy_default_883: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_331, [1, 8, 128]);  aten_addmm_default_331 = None
2025-03-21T20:24:13.3969250Z             
2025-03-21T20:24:13.3970010Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.3970915Z             aten_mul_tensor_178: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_883, p_encoder_layer_22_bottleneck_input_layernorm_weight);  aten_view_copy_default_883 = p_encoder_layer_22_bottleneck_input_layernorm_weight = None
2025-03-21T20:24:13.3971754Z             aten_add_tensor_333: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_178, p_encoder_layer_22_bottleneck_input_layernorm_bias);  aten_mul_tensor_178 = p_encoder_layer_22_bottleneck_input_layernorm_bias = None
2025-03-21T20:24:13.3971844Z             
2025-03-21T20:24:13.3972611Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:432 in forward, code: layer_input = self.dense(hidden_states)
2025-03-21T20:24:13.3973035Z             aten_view_copy_default_884: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_332, [8, 512])
2025-03-21T20:24:13.3973851Z             aten_permute_copy_default_442: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_22_bottleneck_attention_dense_weight, [1, 0]);  p_encoder_layer_22_bottleneck_attention_dense_weight = None
2025-03-21T20:24:13.3975049Z             aten_addmm_default_332: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_22_bottleneck_attention_dense_bias, aten_view_copy_default_884, aten_permute_copy_default_442);  p_encoder_layer_22_bottleneck_attention_dense_bias = aten_view_copy_default_884 = aten_permute_copy_default_442 = None
2025-03-21T20:24:13.3975622Z             aten_view_copy_default_885: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_332, [1, 8, 128]);  aten_addmm_default_332 = None
2025-03-21T20:24:13.3975712Z             
2025-03-21T20:24:13.3976486Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.3977441Z             aten_mul_tensor_179: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_885, p_encoder_layer_22_bottleneck_attention_layernorm_weight);  aten_view_copy_default_885 = p_encoder_layer_22_bottleneck_attention_layernorm_weight = None
2025-03-21T20:24:13.3978310Z             aten_add_tensor_334: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_179, p_encoder_layer_22_bottleneck_attention_layernorm_bias);  aten_mul_tensor_179 = p_encoder_layer_22_bottleneck_attention_layernorm_bias = None
2025-03-21T20:24:13.3978402Z             
2025-03-21T20:24:13.3979146Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:275 in forward, code: mixed_query_layer = self.query(query_tensor)
2025-03-21T20:24:13.3979578Z             aten_view_copy_default_886: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_334, [8, 128])
2025-03-21T20:24:13.3980332Z             aten_permute_copy_default_443: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_22_attention_self_query_weight, [1, 0]);  p_encoder_layer_22_attention_self_query_weight = None
2025-03-21T20:24:13.3981438Z             aten_addmm_default_333: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_22_attention_self_query_bias, aten_view_copy_default_886, aten_permute_copy_default_443);  p_encoder_layer_22_attention_self_query_bias = aten_view_copy_default_886 = aten_permute_copy_default_443 = None
2025-03-21T20:24:13.3982000Z             aten_view_copy_default_887: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_333, [1, 8, 128]);  aten_addmm_default_333 = None
2025-03-21T20:24:13.3982096Z             
2025-03-21T20:24:13.3982815Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:276 in forward, code: mixed_key_layer = self.key(key_tensor)
2025-03-21T20:24:13.3983345Z             aten_view_copy_default_888: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_334, [8, 128]);  aten_add_tensor_334 = None
2025-03-21T20:24:13.3984085Z             aten_permute_copy_default_444: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_22_attention_self_key_weight, [1, 0]);  p_encoder_layer_22_attention_self_key_weight = None
2025-03-21T20:24:13.3985199Z             aten_addmm_default_334: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_22_attention_self_key_bias, aten_view_copy_default_888, aten_permute_copy_default_444);  p_encoder_layer_22_attention_self_key_bias = aten_view_copy_default_888 = aten_permute_copy_default_444 = None
2025-03-21T20:24:13.3985761Z             aten_view_copy_default_889: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_334, [1, 8, 128]);  aten_addmm_default_334 = None
2025-03-21T20:24:13.3985883Z             
2025-03-21T20:24:13.3986635Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:277 in forward, code: mixed_value_layer = self.value(value_tensor)
2025-03-21T20:24:13.3987090Z             aten_view_copy_default_890: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_332, [8, 512])
2025-03-21T20:24:13.3987853Z             aten_permute_copy_default_445: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_22_attention_self_value_weight, [1, 0]);  p_encoder_layer_22_attention_self_value_weight = None
2025-03-21T20:24:13.3988977Z             aten_addmm_default_335: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_22_attention_self_value_bias, aten_view_copy_default_890, aten_permute_copy_default_445);  p_encoder_layer_22_attention_self_value_bias = aten_view_copy_default_890 = aten_permute_copy_default_445 = None
2025-03-21T20:24:13.3989544Z             aten_view_copy_default_891: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_335, [1, 8, 128]);  aten_addmm_default_335 = None
2025-03-21T20:24:13.3989642Z             
2025-03-21T20:24:13.3990357Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.3990956Z             aten_view_copy_default_892: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_887, [1, 8, 4, 32]);  aten_view_copy_default_887 = None
2025-03-21T20:24:13.3991047Z             
2025-03-21T20:24:13.3991786Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.3992397Z             aten_permute_copy_default_446: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_892, [0, 2, 1, 3]);  aten_view_copy_default_892 = None
2025-03-21T20:24:13.3992495Z             
2025-03-21T20:24:13.3993297Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.3993885Z             aten_view_copy_default_893: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_889, [1, 8, 4, 32]);  aten_view_copy_default_889 = None
2025-03-21T20:24:13.3993984Z             
2025-03-21T20:24:13.3994712Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.3995331Z             aten_permute_copy_default_447: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_893, [0, 2, 1, 3]);  aten_view_copy_default_893 = None
2025-03-21T20:24:13.3995425Z             
2025-03-21T20:24:13.3996142Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.3996761Z             aten_view_copy_default_894: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_891, [1, 8, 4, 32]);  aten_view_copy_default_891 = None
2025-03-21T20:24:13.3996855Z             
2025-03-21T20:24:13.3997584Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.3998206Z             aten_permute_copy_default_448: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_894, [0, 2, 1, 3]);  aten_view_copy_default_894 = None
2025-03-21T20:24:13.3998322Z             
2025-03-21T20:24:13.3999224Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:284 in forward, code: attention_scores = torch.matmul(query_layer, key_layer.transpose(-1, -2))
2025-03-21T20:24:13.3999860Z             aten_permute_copy_default_449: "f32[1, 4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_permute_copy_default_447, [0, 1, 3, 2]);  aten_permute_copy_default_447 = None
2025-03-21T20:24:13.4000516Z             aten_expand_copy_default_88: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_446, [1, 4, 8, 32]);  aten_permute_copy_default_446 = None
2025-03-21T20:24:13.4001108Z             aten_view_copy_default_895: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_88, [4, 8, 32]);  aten_expand_copy_default_88 = None
2025-03-21T20:24:13.4001735Z             aten_expand_copy_default_89: "f32[1, 4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_449, [1, 4, 32, 8]);  aten_permute_copy_default_449 = None
2025-03-21T20:24:13.4002503Z             aten_view_copy_default_896: "f32[4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_89, [4, 32, 8]);  aten_expand_copy_default_89 = None
2025-03-21T20:24:13.4003208Z             aten_bmm_default_44: "f32[4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_895, aten_view_copy_default_896);  aten_view_copy_default_895 = aten_view_copy_default_896 = None
2025-03-21T20:24:13.4003753Z             aten_view_copy_default_897: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_44, [1, 4, 8, 8]);  aten_bmm_default_44 = None
2025-03-21T20:24:13.4003848Z             
2025-03-21T20:24:13.4004727Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:285 in forward, code: attention_scores = attention_scores / math.sqrt(self.attention_head_size)
2025-03-21T20:24:13.4005419Z             aten_div_tensor_22: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_div_Tensor(aten_view_copy_default_897, _lifted_tensor_constant25);  aten_view_copy_default_897 = _lifted_tensor_constant25 = None
2025-03-21T20:24:13.4005516Z             
2025-03-21T20:24:13.4006293Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:288 in forward, code: attention_scores = attention_scores + attention_mask
2025-03-21T20:24:13.4006791Z             aten_add_tensor_335: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_div_tensor_22, aten_mul_tensor);  aten_div_tensor_22 = None
2025-03-21T20:24:13.4006880Z             
2025-03-21T20:24:13.4007723Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:290 in forward, code: attention_probs = nn.functional.softmax(attention_scores, dim=-1)
2025-03-21T20:24:13.4008254Z             aten__softmax_default_22: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten__softmax_default(aten_add_tensor_335, -1, False);  aten_add_tensor_335 = None
2025-03-21T20:24:13.4008405Z             
2025-03-21T20:24:13.4009168Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:293 in forward, code: attention_probs = self.dropout(attention_probs)
2025-03-21T20:24:13.4009682Z             aten_clone_default_67: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten__softmax_default_22);  aten__softmax_default_22 = None
2025-03-21T20:24:13.4009772Z             
2025-03-21T20:24:13.4010572Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:297 in forward, code: context_layer = torch.matmul(attention_probs, value_layer)
2025-03-21T20:24:13.4011220Z             aten_expand_copy_default_90: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_clone_default_67, [1, 4, 8, 8]);  aten_clone_default_67 = None
2025-03-21T20:24:13.4011809Z             aten_view_copy_default_898: "f32[4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_90, [4, 8, 8]);  aten_expand_copy_default_90 = None
2025-03-21T20:24:13.4012483Z             aten_expand_copy_default_91: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_448, [1, 4, 8, 32]);  aten_permute_copy_default_448 = None
2025-03-21T20:24:13.4013071Z             aten_view_copy_default_899: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_91, [4, 8, 32]);  aten_expand_copy_default_91 = None
2025-03-21T20:24:13.4013770Z             aten_bmm_default_45: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_898, aten_view_copy_default_899);  aten_view_copy_default_898 = aten_view_copy_default_899 = None
2025-03-21T20:24:13.4014311Z             aten_view_copy_default_900: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_45, [1, 4, 8, 32]);  aten_bmm_default_45 = None
2025-03-21T20:24:13.4014413Z             
2025-03-21T20:24:13.4015227Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:298 in forward, code: context_layer = context_layer.permute(0, 2, 1, 3).contiguous()
2025-03-21T20:24:13.4015850Z             aten_permute_copy_default_450: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_900, [0, 2, 1, 3]);  aten_view_copy_default_900 = None
2025-03-21T20:24:13.4016559Z             aten_clone_default_68: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_permute_copy_default_450, memory_format = torch.contiguous_format);  aten_permute_copy_default_450 = None
2025-03-21T20:24:13.4016658Z             
2025-03-21T20:24:13.4017463Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:300 in forward, code: context_layer = context_layer.view(new_context_layer_shape)
2025-03-21T20:24:13.4018030Z             aten_view_copy_default_901: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_68, [1, 8, 128]);  aten_clone_default_68 = None
2025-03-21T20:24:13.4018120Z             
2025-03-21T20:24:13.4018860Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:315 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.4019438Z             aten_view_copy_default_902: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_901, [8, 128]);  aten_view_copy_default_901 = None
2025-03-21T20:24:13.4020221Z             aten_permute_copy_default_451: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_22_attention_output_dense_weight, [1, 0]);  p_encoder_layer_22_attention_output_dense_weight = None
2025-03-21T20:24:13.4021368Z             aten_addmm_default_336: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_22_attention_output_dense_bias, aten_view_copy_default_902, aten_permute_copy_default_451);  p_encoder_layer_22_attention_output_dense_bias = aten_view_copy_default_902 = aten_permute_copy_default_451 = None
2025-03-21T20:24:13.4021935Z             aten_view_copy_default_903: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_336, [1, 8, 128]);  aten_addmm_default_336 = None
2025-03-21T20:24:13.4022049Z             
2025-03-21T20:24:13.4022882Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:318 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.4023547Z             aten_add_tensor_336: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_903, aten_add_tensor_333);  aten_view_copy_default_903 = aten_add_tensor_333 = None
2025-03-21T20:24:13.4023641Z             
2025-03-21T20:24:13.4024423Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.4025283Z             aten_mul_tensor_180: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_336, p_encoder_layer_22_attention_output_layernorm_weight);  aten_add_tensor_336 = p_encoder_layer_22_attention_output_layernorm_weight = None
2025-03-21T20:24:13.4026128Z             aten_add_tensor_337: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_180, p_encoder_layer_22_attention_output_layernorm_bias);  aten_mul_tensor_180 = p_encoder_layer_22_attention_output_layernorm_bias = None
2025-03-21T20:24:13.4026217Z             
2025-03-21T20:24:13.4026962Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.4027387Z             aten_view_copy_default_904: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_337, [8, 128])
2025-03-21T20:24:13.4028181Z             aten_permute_copy_default_452: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_22_ffn_0_intermediate_dense_weight, [1, 0]);  p_encoder_layer_22_ffn_0_intermediate_dense_weight = None
2025-03-21T20:24:13.4029312Z             aten_addmm_default_337: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_22_ffn_0_intermediate_dense_bias, aten_view_copy_default_904, aten_permute_copy_default_452);  p_encoder_layer_22_ffn_0_intermediate_dense_bias = aten_view_copy_default_904 = aten_permute_copy_default_452 = None
2025-03-21T20:24:13.4029876Z             aten_view_copy_default_905: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_337, [1, 8, 512]);  aten_addmm_default_337 = None
2025-03-21T20:24:13.4029967Z             
2025-03-21T20:24:13.4030775Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.4031290Z             aten_relu_default_88: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_905);  aten_view_copy_default_905 = None
2025-03-21T20:24:13.4031387Z             
2025-03-21T20:24:13.4032120Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.4032661Z             aten_view_copy_default_906: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_88, [8, 512]);  aten_relu_default_88 = None
2025-03-21T20:24:13.4033513Z             aten_permute_copy_default_453: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_22_ffn_0_output_dense_weight, [1, 0]);  p_encoder_layer_22_ffn_0_output_dense_weight = None
2025-03-21T20:24:13.4034583Z             aten_addmm_default_338: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_22_ffn_0_output_dense_bias, aten_view_copy_default_906, aten_permute_copy_default_453);  p_encoder_layer_22_ffn_0_output_dense_bias = aten_view_copy_default_906 = aten_permute_copy_default_453 = None
2025-03-21T20:24:13.4035202Z             aten_view_copy_default_907: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_338, [1, 8, 128]);  aten_addmm_default_338 = None
2025-03-21T20:24:13.4035299Z             
2025-03-21T20:24:13.4036120Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.4036799Z             aten_add_tensor_338: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_907, aten_add_tensor_337);  aten_view_copy_default_907 = aten_add_tensor_337 = None
2025-03-21T20:24:13.4036894Z             
2025-03-21T20:24:13.4037638Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.4038451Z             aten_mul_tensor_181: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_338, p_encoder_layer_22_ffn_0_output_layernorm_weight);  aten_add_tensor_338 = p_encoder_layer_22_ffn_0_output_layernorm_weight = None
2025-03-21T20:24:13.4039252Z             aten_add_tensor_339: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_181, p_encoder_layer_22_ffn_0_output_layernorm_bias);  aten_mul_tensor_181 = p_encoder_layer_22_ffn_0_output_layernorm_bias = None
2025-03-21T20:24:13.4039346Z             
2025-03-21T20:24:13.4040083Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.4040509Z             aten_view_copy_default_908: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_339, [8, 128])
2025-03-21T20:24:13.4041300Z             aten_permute_copy_default_454: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_22_ffn_1_intermediate_dense_weight, [1, 0]);  p_encoder_layer_22_ffn_1_intermediate_dense_weight = None
2025-03-21T20:24:13.4042429Z             aten_addmm_default_339: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_22_ffn_1_intermediate_dense_bias, aten_view_copy_default_908, aten_permute_copy_default_454);  p_encoder_layer_22_ffn_1_intermediate_dense_bias = aten_view_copy_default_908 = aten_permute_copy_default_454 = None
2025-03-21T20:24:13.4042988Z             aten_view_copy_default_909: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_339, [1, 8, 512]);  aten_addmm_default_339 = None
2025-03-21T20:24:13.4043087Z             
2025-03-21T20:24:13.4043877Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.4044402Z             aten_relu_default_89: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_909);  aten_view_copy_default_909 = None
2025-03-21T20:24:13.4044493Z             
2025-03-21T20:24:13.4045253Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.4045791Z             aten_view_copy_default_910: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_89, [8, 512]);  aten_relu_default_89 = None
2025-03-21T20:24:13.4046531Z             aten_permute_copy_default_455: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_22_ffn_1_output_dense_weight, [1, 0]);  p_encoder_layer_22_ffn_1_output_dense_weight = None
2025-03-21T20:24:13.4047644Z             aten_addmm_default_340: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_22_ffn_1_output_dense_bias, aten_view_copy_default_910, aten_permute_copy_default_455);  p_encoder_layer_22_ffn_1_output_dense_bias = aten_view_copy_default_910 = aten_permute_copy_default_455 = None
2025-03-21T20:24:13.4048220Z             aten_view_copy_default_911: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_340, [1, 8, 128]);  aten_addmm_default_340 = None
2025-03-21T20:24:13.4048363Z             
2025-03-21T20:24:13.4049189Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.4049828Z             aten_add_tensor_340: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_911, aten_add_tensor_339);  aten_view_copy_default_911 = aten_add_tensor_339 = None
2025-03-21T20:24:13.4049919Z             
2025-03-21T20:24:13.4050673Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.4051480Z             aten_mul_tensor_182: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_340, p_encoder_layer_22_ffn_1_output_layernorm_weight);  aten_add_tensor_340 = p_encoder_layer_22_ffn_1_output_layernorm_weight = None
2025-03-21T20:24:13.4052269Z             aten_add_tensor_341: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_182, p_encoder_layer_22_ffn_1_output_layernorm_bias);  aten_mul_tensor_182 = p_encoder_layer_22_ffn_1_output_layernorm_bias = None
2025-03-21T20:24:13.4052360Z             
2025-03-21T20:24:13.4053107Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.4053529Z             aten_view_copy_default_912: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_341, [8, 128])
2025-03-21T20:24:13.4054324Z             aten_permute_copy_default_456: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_22_ffn_2_intermediate_dense_weight, [1, 0]);  p_encoder_layer_22_ffn_2_intermediate_dense_weight = None
2025-03-21T20:24:13.4055452Z             aten_addmm_default_341: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_22_ffn_2_intermediate_dense_bias, aten_view_copy_default_912, aten_permute_copy_default_456);  p_encoder_layer_22_ffn_2_intermediate_dense_bias = aten_view_copy_default_912 = aten_permute_copy_default_456 = None
2025-03-21T20:24:13.4056025Z             aten_view_copy_default_913: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_341, [1, 8, 512]);  aten_addmm_default_341 = None
2025-03-21T20:24:13.4056117Z             
2025-03-21T20:24:13.4056910Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.4057452Z             aten_relu_default_90: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_913);  aten_view_copy_default_913 = None
2025-03-21T20:24:13.4057546Z             
2025-03-21T20:24:13.4058276Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.4058819Z             aten_view_copy_default_914: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_90, [8, 512]);  aten_relu_default_90 = None
2025-03-21T20:24:13.4059610Z             aten_permute_copy_default_457: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_22_ffn_2_output_dense_weight, [1, 0]);  p_encoder_layer_22_ffn_2_output_dense_weight = None
2025-03-21T20:24:13.4060698Z             aten_addmm_default_342: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_22_ffn_2_output_dense_bias, aten_view_copy_default_914, aten_permute_copy_default_457);  p_encoder_layer_22_ffn_2_output_dense_bias = aten_view_copy_default_914 = aten_permute_copy_default_457 = None
2025-03-21T20:24:13.4061258Z             aten_view_copy_default_915: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_342, [1, 8, 128]);  aten_addmm_default_342 = None
2025-03-21T20:24:13.4061348Z             
2025-03-21T20:24:13.4062179Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.4062831Z             aten_add_tensor_342: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_915, aten_add_tensor_341);  aten_view_copy_default_915 = aten_add_tensor_341 = None
2025-03-21T20:24:13.4062921Z             
2025-03-21T20:24:13.4063671Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.4064483Z             aten_mul_tensor_183: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_342, p_encoder_layer_22_ffn_2_output_layernorm_weight);  aten_add_tensor_342 = p_encoder_layer_22_ffn_2_output_layernorm_weight = None
2025-03-21T20:24:13.4065267Z             aten_add_tensor_343: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_183, p_encoder_layer_22_ffn_2_output_layernorm_bias);  aten_mul_tensor_183 = p_encoder_layer_22_ffn_2_output_layernorm_bias = None
2025-03-21T20:24:13.4065365Z             
2025-03-21T20:24:13.4066097Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.4066525Z             aten_view_copy_default_916: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_343, [8, 128])
2025-03-21T20:24:13.4067275Z             aten_permute_copy_default_458: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_22_intermediate_dense_weight, [1, 0]);  p_encoder_layer_22_intermediate_dense_weight = None
2025-03-21T20:24:13.4068369Z             aten_addmm_default_343: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_22_intermediate_dense_bias, aten_view_copy_default_916, aten_permute_copy_default_458);  p_encoder_layer_22_intermediate_dense_bias = aten_view_copy_default_916 = aten_permute_copy_default_458 = None
2025-03-21T20:24:13.4068932Z             aten_view_copy_default_917: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_343, [1, 8, 512]);  aten_addmm_default_343 = None
2025-03-21T20:24:13.4069052Z             
2025-03-21T20:24:13.4069849Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.4070369Z             aten_relu_default_91: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_917);  aten_view_copy_default_917 = None
2025-03-21T20:24:13.4070460Z             
2025-03-21T20:24:13.4071237Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:415 in forward, code: layer_output = self.dense(intermediate_states)
2025-03-21T20:24:13.4071796Z             aten_view_copy_default_918: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_91, [8, 512]);  aten_relu_default_91 = None
2025-03-21T20:24:13.4072525Z             aten_permute_copy_default_459: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_22_output_dense_weight, [1, 0]);  p_encoder_layer_22_output_dense_weight = None
2025-03-21T20:24:13.4073637Z             aten_addmm_default_344: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_22_output_dense_bias, aten_view_copy_default_918, aten_permute_copy_default_459);  p_encoder_layer_22_output_dense_bias = aten_view_copy_default_918 = aten_permute_copy_default_459 = None
2025-03-21T20:24:13.4074325Z             aten_view_copy_default_919: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_344, [1, 8, 128]);  aten_addmm_default_344 = None
2025-03-21T20:24:13.4074425Z             
2025-03-21T20:24:13.4075258Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:420 in forward, code: layer_output = self.LayerNorm(layer_output + residual_tensor_1)
2025-03-21T20:24:13.4075900Z             aten_add_tensor_344: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_919, aten_add_tensor_343);  aten_view_copy_default_919 = aten_add_tensor_343 = None
2025-03-21T20:24:13.4075995Z             
2025-03-21T20:24:13.4076733Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.4077525Z             aten_mul_tensor_184: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_344, p_encoder_layer_22_output_layernorm_weight);  aten_add_tensor_344 = p_encoder_layer_22_output_layernorm_weight = None
2025-03-21T20:24:13.4078273Z             aten_add_tensor_345: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_184, p_encoder_layer_22_output_layernorm_bias);  aten_mul_tensor_184 = p_encoder_layer_22_output_layernorm_bias = None
2025-03-21T20:24:13.4078365Z             
2025-03-21T20:24:13.4079104Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:395 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.4079624Z             aten_view_copy_default_920: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_345, [8, 128]);  aten_add_tensor_345 = None
2025-03-21T20:24:13.4080402Z             aten_permute_copy_default_460: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_22_output_bottleneck_dense_weight, [1, 0]);  p_encoder_layer_22_output_bottleneck_dense_weight = None
2025-03-21T20:24:13.4081529Z             aten_addmm_default_345: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_22_output_bottleneck_dense_bias, aten_view_copy_default_920, aten_permute_copy_default_460);  p_encoder_layer_22_output_bottleneck_dense_bias = aten_view_copy_default_920 = aten_permute_copy_default_460 = None
2025-03-21T20:24:13.4082130Z             aten_view_copy_default_921: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_345, [1, 8, 512]);  aten_addmm_default_345 = None
2025-03-21T20:24:13.4082219Z             
2025-03-21T20:24:13.4082963Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:396 in forward, code: layer_outputs = self.dropout(layer_outputs)
2025-03-21T20:24:13.4083507Z             aten_clone_default_69: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_921);  aten_view_copy_default_921 = None
2025-03-21T20:24:13.4083598Z             
2025-03-21T20:24:13.4084441Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:397 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.4085076Z             aten_add_tensor_346: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_69, aten_add_tensor_332);  aten_clone_default_69 = aten_add_tensor_332 = None
2025-03-21T20:24:13.4085167Z             
2025-03-21T20:24:13.4085914Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.4086776Z             aten_mul_tensor_185: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_346, p_encoder_layer_22_output_bottleneck_layernorm_weight);  aten_add_tensor_346 = p_encoder_layer_22_output_bottleneck_layernorm_weight = None
2025-03-21T20:24:13.4087618Z             aten_add_tensor_347: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_185, p_encoder_layer_22_output_bottleneck_layernorm_bias);  aten_mul_tensor_185 = p_encoder_layer_22_output_bottleneck_layernorm_bias = None
2025-03-21T20:24:13.4087713Z             
2025-03-21T20:24:13.4088440Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:432 in forward, code: layer_input = self.dense(hidden_states)
2025-03-21T20:24:13.4088862Z             aten_view_copy_default_922: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_347, [8, 512])
2025-03-21T20:24:13.4089646Z             aten_permute_copy_default_461: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_23_bottleneck_input_dense_weight, [1, 0]);  p_encoder_layer_23_bottleneck_input_dense_weight = None
2025-03-21T20:24:13.4090766Z             aten_addmm_default_346: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_23_bottleneck_input_dense_bias, aten_view_copy_default_922, aten_permute_copy_default_461);  p_encoder_layer_23_bottleneck_input_dense_bias = aten_view_copy_default_922 = aten_permute_copy_default_461 = None
2025-03-21T20:24:13.4091334Z             aten_view_copy_default_923: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_346, [1, 8, 128]);  aten_addmm_default_346 = None
2025-03-21T20:24:13.4091423Z             
2025-03-21T20:24:13.4092170Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.4093092Z             aten_mul_tensor_186: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_923, p_encoder_layer_23_bottleneck_input_layernorm_weight);  aten_view_copy_default_923 = p_encoder_layer_23_bottleneck_input_layernorm_weight = None
2025-03-21T20:24:13.4093927Z             aten_add_tensor_348: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_186, p_encoder_layer_23_bottleneck_input_layernorm_bias);  aten_mul_tensor_186 = p_encoder_layer_23_bottleneck_input_layernorm_bias = None
2025-03-21T20:24:13.4094046Z             
2025-03-21T20:24:13.4094773Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:432 in forward, code: layer_input = self.dense(hidden_states)
2025-03-21T20:24:13.4095199Z             aten_view_copy_default_924: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_347, [8, 512])
2025-03-21T20:24:13.4096049Z             aten_permute_copy_default_462: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_23_bottleneck_attention_dense_weight, [1, 0]);  p_encoder_layer_23_bottleneck_attention_dense_weight = None
2025-03-21T20:24:13.4097233Z             aten_addmm_default_347: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_23_bottleneck_attention_dense_bias, aten_view_copy_default_924, aten_permute_copy_default_462);  p_encoder_layer_23_bottleneck_attention_dense_bias = aten_view_copy_default_924 = aten_permute_copy_default_462 = None
2025-03-21T20:24:13.4097794Z             aten_view_copy_default_925: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_347, [1, 8, 128]);  aten_addmm_default_347 = None
2025-03-21T20:24:13.4097892Z             
2025-03-21T20:24:13.4098635Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.4099592Z             aten_mul_tensor_187: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_view_copy_default_925, p_encoder_layer_23_bottleneck_attention_layernorm_weight);  aten_view_copy_default_925 = p_encoder_layer_23_bottleneck_attention_layernorm_weight = None
2025-03-21T20:24:13.4100462Z             aten_add_tensor_349: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_187, p_encoder_layer_23_bottleneck_attention_layernorm_bias);  aten_mul_tensor_187 = p_encoder_layer_23_bottleneck_attention_layernorm_bias = None
2025-03-21T20:24:13.4100556Z             
2025-03-21T20:24:13.4101304Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:275 in forward, code: mixed_query_layer = self.query(query_tensor)
2025-03-21T20:24:13.4101731Z             aten_view_copy_default_926: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_349, [8, 128])
2025-03-21T20:24:13.4102678Z             aten_permute_copy_default_463: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_23_attention_self_query_weight, [1, 0]);  p_encoder_layer_23_attention_self_query_weight = None
2025-03-21T20:24:13.4103787Z             aten_addmm_default_348: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_23_attention_self_query_bias, aten_view_copy_default_926, aten_permute_copy_default_463);  p_encoder_layer_23_attention_self_query_bias = aten_view_copy_default_926 = aten_permute_copy_default_463 = None
2025-03-21T20:24:13.4104354Z             aten_view_copy_default_927: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_348, [1, 8, 128]);  aten_addmm_default_348 = None
2025-03-21T20:24:13.4104459Z             
2025-03-21T20:24:13.4105186Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:276 in forward, code: mixed_key_layer = self.key(key_tensor)
2025-03-21T20:24:13.4105725Z             aten_view_copy_default_928: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_349, [8, 128]);  aten_add_tensor_349 = None
2025-03-21T20:24:13.4106516Z             aten_permute_copy_default_464: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_23_attention_self_key_weight, [1, 0]);  p_encoder_layer_23_attention_self_key_weight = None
2025-03-21T20:24:13.4107603Z             aten_addmm_default_349: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_23_attention_self_key_bias, aten_view_copy_default_928, aten_permute_copy_default_464);  p_encoder_layer_23_attention_self_key_bias = aten_view_copy_default_928 = aten_permute_copy_default_464 = None
2025-03-21T20:24:13.4108213Z             aten_view_copy_default_929: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_349, [1, 8, 128]);  aten_addmm_default_349 = None
2025-03-21T20:24:13.4108349Z             
2025-03-21T20:24:13.4109099Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:277 in forward, code: mixed_value_layer = self.value(value_tensor)
2025-03-21T20:24:13.4109565Z             aten_view_copy_default_930: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_347, [8, 512])
2025-03-21T20:24:13.4110322Z             aten_permute_copy_default_465: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_23_attention_self_value_weight, [1, 0]);  p_encoder_layer_23_attention_self_value_weight = None
2025-03-21T20:24:13.4111428Z             aten_addmm_default_350: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_23_attention_self_value_bias, aten_view_copy_default_930, aten_permute_copy_default_465);  p_encoder_layer_23_attention_self_value_bias = aten_view_copy_default_930 = aten_permute_copy_default_465 = None
2025-03-21T20:24:13.4111988Z             aten_view_copy_default_931: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_350, [1, 8, 128]);  aten_addmm_default_350 = None
2025-03-21T20:24:13.4112084Z             
2025-03-21T20:24:13.4112799Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.4113506Z             aten_view_copy_default_932: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_927, [1, 8, 4, 32]);  aten_view_copy_default_927 = None
2025-03-21T20:24:13.4113600Z             
2025-03-21T20:24:13.4114326Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.4114956Z             aten_permute_copy_default_466: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_932, [0, 2, 1, 3]);  aten_view_copy_default_932 = None
2025-03-21T20:24:13.4115047Z             
2025-03-21T20:24:13.4115766Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.4116345Z             aten_view_copy_default_933: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_929, [1, 8, 4, 32]);  aten_view_copy_default_929 = None
2025-03-21T20:24:13.4116445Z             
2025-03-21T20:24:13.4117179Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.4117803Z             aten_permute_copy_default_467: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_933, [0, 2, 1, 3]);  aten_view_copy_default_933 = None
2025-03-21T20:24:13.4117922Z             
2025-03-21T20:24:13.4118639Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:263 in transpose_for_scores, code: x = x.view(new_x_shape)
2025-03-21T20:24:13.4119226Z             aten_view_copy_default_934: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_931, [1, 8, 4, 32]);  aten_view_copy_default_931 = None
2025-03-21T20:24:13.4119321Z             
2025-03-21T20:24:13.4120049Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:264 in transpose_for_scores, code: return x.permute(0, 2, 1, 3)
2025-03-21T20:24:13.4120710Z             aten_permute_copy_default_468: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_934, [0, 2, 1, 3]);  aten_view_copy_default_934 = None
2025-03-21T20:24:13.4120804Z             
2025-03-21T20:24:13.4121692Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:284 in forward, code: attention_scores = torch.matmul(query_layer, key_layer.transpose(-1, -2))
2025-03-21T20:24:13.4122336Z             aten_permute_copy_default_469: "f32[1, 4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_permute_copy_default_467, [0, 1, 3, 2]);  aten_permute_copy_default_467 = None
2025-03-21T20:24:13.4122959Z             aten_expand_copy_default_92: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_466, [1, 4, 8, 32]);  aten_permute_copy_default_466 = None
2025-03-21T20:24:13.4123554Z             aten_view_copy_default_935: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_92, [4, 8, 32]);  aten_expand_copy_default_92 = None
2025-03-21T20:24:13.4124173Z             aten_expand_copy_default_93: "f32[1, 4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_469, [1, 4, 32, 8]);  aten_permute_copy_default_469 = None
2025-03-21T20:24:13.4124772Z             aten_view_copy_default_936: "f32[4, 32, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_93, [4, 32, 8]);  aten_expand_copy_default_93 = None
2025-03-21T20:24:13.4125467Z             aten_bmm_default_46: "f32[4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_935, aten_view_copy_default_936);  aten_view_copy_default_935 = aten_view_copy_default_936 = None
2025-03-21T20:24:13.4126017Z             aten_view_copy_default_937: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_46, [1, 4, 8, 8]);  aten_bmm_default_46 = None
2025-03-21T20:24:13.4126106Z             
2025-03-21T20:24:13.4126971Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:285 in forward, code: attention_scores = attention_scores / math.sqrt(self.attention_head_size)
2025-03-21T20:24:13.4127667Z             aten_div_tensor_23: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_div_Tensor(aten_view_copy_default_937, _lifted_tensor_constant26);  aten_view_copy_default_937 = _lifted_tensor_constant26 = None
2025-03-21T20:24:13.4127758Z             
2025-03-21T20:24:13.4128527Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:288 in forward, code: attention_scores = attention_scores + attention_mask
2025-03-21T20:24:13.4129091Z             aten_add_tensor_350: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_div_tensor_23, aten_mul_tensor);  aten_div_tensor_23 = aten_mul_tensor = None
2025-03-21T20:24:13.4129179Z             
2025-03-21T20:24:13.4130021Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:290 in forward, code: attention_probs = nn.functional.softmax(attention_scores, dim=-1)
2025-03-21T20:24:13.4130576Z             aten__softmax_default_23: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten__softmax_default(aten_add_tensor_350, -1, False);  aten_add_tensor_350 = None
2025-03-21T20:24:13.4130661Z             
2025-03-21T20:24:13.4131429Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:293 in forward, code: attention_probs = self.dropout(attention_probs)
2025-03-21T20:24:13.4131955Z             aten_clone_default_70: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten__softmax_default_23);  aten__softmax_default_23 = None
2025-03-21T20:24:13.4132052Z             
2025-03-21T20:24:13.4132866Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:297 in forward, code: context_layer = torch.matmul(attention_probs, value_layer)
2025-03-21T20:24:13.4133463Z             aten_expand_copy_default_94: "f32[1, 4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_clone_default_70, [1, 4, 8, 8]);  aten_clone_default_70 = None
2025-03-21T20:24:13.4134048Z             aten_view_copy_default_938: "f32[4, 8, 8]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_94, [4, 8, 8]);  aten_expand_copy_default_94 = None
2025-03-21T20:24:13.4134678Z             aten_expand_copy_default_95: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(aten_permute_copy_default_468, [1, 4, 8, 32]);  aten_permute_copy_default_468 = None
2025-03-21T20:24:13.4135270Z             aten_view_copy_default_939: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_expand_copy_default_95, [4, 8, 32]);  aten_expand_copy_default_95 = None
2025-03-21T20:24:13.4135969Z             aten_bmm_default_47: "f32[4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_bmm_default(aten_view_copy_default_938, aten_view_copy_default_939);  aten_view_copy_default_938 = aten_view_copy_default_939 = None
2025-03-21T20:24:13.4136508Z             aten_view_copy_default_940: "f32[1, 4, 8, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_bmm_default_47, [1, 4, 8, 32]);  aten_bmm_default_47 = None
2025-03-21T20:24:13.4136604Z             
2025-03-21T20:24:13.4137422Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:298 in forward, code: context_layer = context_layer.permute(0, 2, 1, 3).contiguous()
2025-03-21T20:24:13.4138041Z             aten_permute_copy_default_470: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(aten_view_copy_default_940, [0, 2, 1, 3]);  aten_view_copy_default_940 = None
2025-03-21T20:24:13.4138745Z             aten_clone_default_71: "f32[1, 8, 4, 32]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_permute_copy_default_470, memory_format = torch.contiguous_format);  aten_permute_copy_default_470 = None
2025-03-21T20:24:13.4138839Z             
2025-03-21T20:24:13.4139632Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:300 in forward, code: context_layer = context_layer.view(new_context_layer_shape)
2025-03-21T20:24:13.4140192Z             aten_view_copy_default_941: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_clone_default_71, [1, 8, 128]);  aten_clone_default_71 = None
2025-03-21T20:24:13.4140282Z             
2025-03-21T20:24:13.4141004Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:315 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.4141594Z             aten_view_copy_default_942: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_view_copy_default_941, [8, 128]);  aten_view_copy_default_941 = None
2025-03-21T20:24:13.4142392Z             aten_permute_copy_default_471: "f32[128, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_23_attention_output_dense_weight, [1, 0]);  p_encoder_layer_23_attention_output_dense_weight = None
2025-03-21T20:24:13.4143505Z             aten_addmm_default_351: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_23_attention_output_dense_bias, aten_view_copy_default_942, aten_permute_copy_default_471);  p_encoder_layer_23_attention_output_dense_bias = aten_view_copy_default_942 = aten_permute_copy_default_471 = None
2025-03-21T20:24:13.4144123Z             aten_view_copy_default_943: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_351, [1, 8, 128]);  aten_addmm_default_351 = None
2025-03-21T20:24:13.4144211Z             
2025-03-21T20:24:13.4145029Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:318 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.4145696Z             aten_add_tensor_351: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_943, aten_add_tensor_348);  aten_view_copy_default_943 = aten_add_tensor_348 = None
2025-03-21T20:24:13.4145784Z             
2025-03-21T20:24:13.4146538Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.4147399Z             aten_mul_tensor_188: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_351, p_encoder_layer_23_attention_output_layernorm_weight);  aten_add_tensor_351 = p_encoder_layer_23_attention_output_layernorm_weight = None
2025-03-21T20:24:13.4148241Z             aten_add_tensor_352: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_188, p_encoder_layer_23_attention_output_layernorm_bias);  aten_mul_tensor_188 = p_encoder_layer_23_attention_output_layernorm_bias = None
2025-03-21T20:24:13.4148332Z             
2025-03-21T20:24:13.4149066Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.4149488Z             aten_view_copy_default_944: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_352, [8, 128])
2025-03-21T20:24:13.4150285Z             aten_permute_copy_default_472: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_23_ffn_0_intermediate_dense_weight, [1, 0]);  p_encoder_layer_23_ffn_0_intermediate_dense_weight = None
2025-03-21T20:24:13.4151402Z             aten_addmm_default_352: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_23_ffn_0_intermediate_dense_bias, aten_view_copy_default_944, aten_permute_copy_default_472);  p_encoder_layer_23_ffn_0_intermediate_dense_bias = aten_view_copy_default_944 = aten_permute_copy_default_472 = None
2025-03-21T20:24:13.4151970Z             aten_view_copy_default_945: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_352, [1, 8, 512]);  aten_addmm_default_352 = None
2025-03-21T20:24:13.4152060Z             
2025-03-21T20:24:13.4152859Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.4153462Z             aten_relu_default_92: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_945);  aten_view_copy_default_945 = None
2025-03-21T20:24:13.4153598Z             
2025-03-21T20:24:13.4154324Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.4154862Z             aten_view_copy_default_946: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_92, [8, 512]);  aten_relu_default_92 = None
2025-03-21T20:24:13.4155595Z             aten_permute_copy_default_473: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_23_ffn_0_output_dense_weight, [1, 0]);  p_encoder_layer_23_ffn_0_output_dense_weight = None
2025-03-21T20:24:13.4156715Z             aten_addmm_default_353: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_23_ffn_0_output_dense_bias, aten_view_copy_default_946, aten_permute_copy_default_473);  p_encoder_layer_23_ffn_0_output_dense_bias = aten_view_copy_default_946 = aten_permute_copy_default_473 = None
2025-03-21T20:24:13.4157276Z             aten_view_copy_default_947: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_353, [1, 8, 128]);  aten_addmm_default_353 = None
2025-03-21T20:24:13.4157547Z             
2025-03-21T20:24:13.4158375Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.4159009Z             aten_add_tensor_353: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_947, aten_add_tensor_352);  aten_view_copy_default_947 = aten_add_tensor_352 = None
2025-03-21T20:24:13.4159113Z             
2025-03-21T20:24:13.4159862Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.4160680Z             aten_mul_tensor_189: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_353, p_encoder_layer_23_ffn_0_output_layernorm_weight);  aten_add_tensor_353 = p_encoder_layer_23_ffn_0_output_layernorm_weight = None
2025-03-21T20:24:13.4161461Z             aten_add_tensor_354: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_189, p_encoder_layer_23_ffn_0_output_layernorm_bias);  aten_mul_tensor_189 = p_encoder_layer_23_ffn_0_output_layernorm_bias = None
2025-03-21T20:24:13.4161561Z             
2025-03-21T20:24:13.4162286Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.4162720Z             aten_view_copy_default_948: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_354, [8, 128])
2025-03-21T20:24:13.4163503Z             aten_permute_copy_default_474: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_23_ffn_1_intermediate_dense_weight, [1, 0]);  p_encoder_layer_23_ffn_1_intermediate_dense_weight = None
2025-03-21T20:24:13.4164633Z             aten_addmm_default_354: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_23_ffn_1_intermediate_dense_bias, aten_view_copy_default_948, aten_permute_copy_default_474);  p_encoder_layer_23_ffn_1_intermediate_dense_bias = aten_view_copy_default_948 = aten_permute_copy_default_474 = None
2025-03-21T20:24:13.4165192Z             aten_view_copy_default_949: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_354, [1, 8, 512]);  aten_addmm_default_354 = None
2025-03-21T20:24:13.4165289Z             
2025-03-21T20:24:13.4166082Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.4166632Z             aten_relu_default_93: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_949);  aten_view_copy_default_949 = None
2025-03-21T20:24:13.4166719Z             
2025-03-21T20:24:13.4167449Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.4167990Z             aten_view_copy_default_950: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_93, [8, 512]);  aten_relu_default_93 = None
2025-03-21T20:24:13.4168773Z             aten_permute_copy_default_475: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_23_ffn_1_output_dense_weight, [1, 0]);  p_encoder_layer_23_ffn_1_output_dense_weight = None
2025-03-21T20:24:13.4169858Z             aten_addmm_default_355: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_23_ffn_1_output_dense_bias, aten_view_copy_default_950, aten_permute_copy_default_475);  p_encoder_layer_23_ffn_1_output_dense_bias = aten_view_copy_default_950 = aten_permute_copy_default_475 = None
2025-03-21T20:24:13.4170420Z             aten_view_copy_default_951: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_355, [1, 8, 128]);  aten_addmm_default_355 = None
2025-03-21T20:24:13.4170509Z             
2025-03-21T20:24:13.4171336Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.4171973Z             aten_add_tensor_355: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_951, aten_add_tensor_354);  aten_view_copy_default_951 = aten_add_tensor_354 = None
2025-03-21T20:24:13.4172064Z             
2025-03-21T20:24:13.4172817Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.4173621Z             aten_mul_tensor_190: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_355, p_encoder_layer_23_ffn_1_output_layernorm_weight);  aten_add_tensor_355 = p_encoder_layer_23_ffn_1_output_layernorm_weight = None
2025-03-21T20:24:13.4174410Z             aten_add_tensor_356: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_190, p_encoder_layer_23_ffn_1_output_layernorm_bias);  aten_mul_tensor_190 = p_encoder_layer_23_ffn_1_output_layernorm_bias = None
2025-03-21T20:24:13.4174500Z             
2025-03-21T20:24:13.4175235Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.4175659Z             aten_view_copy_default_952: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_356, [8, 128])
2025-03-21T20:24:13.4176450Z             aten_permute_copy_default_476: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_23_ffn_2_intermediate_dense_weight, [1, 0]);  p_encoder_layer_23_ffn_2_intermediate_dense_weight = None
2025-03-21T20:24:13.4177570Z             aten_addmm_default_356: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_23_ffn_2_intermediate_dense_bias, aten_view_copy_default_952, aten_permute_copy_default_476);  p_encoder_layer_23_ffn_2_intermediate_dense_bias = aten_view_copy_default_952 = aten_permute_copy_default_476 = None
2025-03-21T20:24:13.4178127Z             aten_view_copy_default_953: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_356, [1, 8, 512]);  aten_addmm_default_356 = None
2025-03-21T20:24:13.4178242Z             
2025-03-21T20:24:13.4179037Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.4179553Z             aten_relu_default_94: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_953);  aten_view_copy_default_953 = None
2025-03-21T20:24:13.4179669Z             
2025-03-21T20:24:13.4180394Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:480 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.4180963Z             aten_view_copy_default_954: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_94, [8, 512]);  aten_relu_default_94 = None
2025-03-21T20:24:13.4181719Z             aten_permute_copy_default_477: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_23_ffn_2_output_dense_weight, [1, 0]);  p_encoder_layer_23_ffn_2_output_dense_weight = None
2025-03-21T20:24:13.4182784Z             aten_addmm_default_357: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_23_ffn_2_output_dense_bias, aten_view_copy_default_954, aten_permute_copy_default_477);  p_encoder_layer_23_ffn_2_output_dense_bias = aten_view_copy_default_954 = aten_permute_copy_default_477 = None
2025-03-21T20:24:13.4183349Z             aten_view_copy_default_955: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_357, [1, 8, 128]);  aten_addmm_default_357 = None
2025-03-21T20:24:13.4183443Z             
2025-03-21T20:24:13.4184262Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:481 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.4184903Z             aten_add_tensor_357: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_955, aten_add_tensor_356);  aten_view_copy_default_955 = aten_add_tensor_356 = None
2025-03-21T20:24:13.4184993Z             
2025-03-21T20:24:13.4185732Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.4186542Z             aten_mul_tensor_191: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_357, p_encoder_layer_23_ffn_2_output_layernorm_weight);  aten_add_tensor_357 = p_encoder_layer_23_ffn_2_output_layernorm_weight = None
2025-03-21T20:24:13.4187330Z             aten_add_tensor_358: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_191, p_encoder_layer_23_ffn_2_output_layernorm_bias);  aten_mul_tensor_191 = p_encoder_layer_23_ffn_2_output_layernorm_bias = None
2025-03-21T20:24:13.4187419Z             
2025-03-21T20:24:13.4188149Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:382 in forward, code: hidden_states = self.dense(hidden_states)
2025-03-21T20:24:13.4188572Z             aten_view_copy_default_956: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_358, [8, 128])
2025-03-21T20:24:13.4189319Z             aten_permute_copy_default_478: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_23_intermediate_dense_weight, [1, 0]);  p_encoder_layer_23_intermediate_dense_weight = None
2025-03-21T20:24:13.4190416Z             aten_addmm_default_358: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_23_intermediate_dense_bias, aten_view_copy_default_956, aten_permute_copy_default_478);  p_encoder_layer_23_intermediate_dense_bias = aten_view_copy_default_956 = aten_permute_copy_default_478 = None
2025-03-21T20:24:13.4191002Z             aten_view_copy_default_957: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_358, [1, 8, 512]);  aten_addmm_default_358 = None
2025-03-21T20:24:13.4191095Z             
2025-03-21T20:24:13.4191888Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:383 in forward, code: hidden_states = self.intermediate_act_fn(hidden_states)
2025-03-21T20:24:13.4192427Z             aten_relu_default_95: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_relu_default(aten_view_copy_default_957);  aten_view_copy_default_957 = None
2025-03-21T20:24:13.4192540Z             
2025-03-21T20:24:13.4193377Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:415 in forward, code: layer_output = self.dense(intermediate_states)
2025-03-21T20:24:13.4193955Z             aten_view_copy_default_958: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_relu_default_95, [8, 512]);  aten_relu_default_95 = None
2025-03-21T20:24:13.4194662Z             aten_permute_copy_default_479: "f32[512, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_23_output_dense_weight, [1, 0]);  p_encoder_layer_23_output_dense_weight = None
2025-03-21T20:24:13.4195687Z             aten_addmm_default_359: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_23_output_dense_bias, aten_view_copy_default_958, aten_permute_copy_default_479);  p_encoder_layer_23_output_dense_bias = aten_view_copy_default_958 = aten_permute_copy_default_479 = None
2025-03-21T20:24:13.4196251Z             aten_view_copy_default_959: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_359, [1, 8, 128]);  aten_addmm_default_359 = None
2025-03-21T20:24:13.4196343Z             
2025-03-21T20:24:13.4197170Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:420 in forward, code: layer_output = self.LayerNorm(layer_output + residual_tensor_1)
2025-03-21T20:24:13.4197809Z             aten_add_tensor_359: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_view_copy_default_959, aten_add_tensor_358);  aten_view_copy_default_959 = aten_add_tensor_358 = None
2025-03-21T20:24:13.4197907Z             
2025-03-21T20:24:13.4198647Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.4199430Z             aten_mul_tensor_192: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_359, p_encoder_layer_23_output_layernorm_weight);  aten_add_tensor_359 = p_encoder_layer_23_output_layernorm_weight = None
2025-03-21T20:24:13.4200178Z             aten_add_tensor_360: "f32[1, 8, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_192, p_encoder_layer_23_output_layernorm_bias);  aten_mul_tensor_192 = p_encoder_layer_23_output_layernorm_bias = None
2025-03-21T20:24:13.4200274Z             
2025-03-21T20:24:13.4201009Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:395 in forward, code: layer_outputs = self.dense(hidden_states)
2025-03-21T20:24:13.4201535Z             aten_view_copy_default_960: "f32[8, 128]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_add_tensor_360, [8, 128]);  aten_add_tensor_360 = None
2025-03-21T20:24:13.4202554Z             aten_permute_copy_default_480: "f32[128, 512]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(p_encoder_layer_23_output_bottleneck_dense_weight, [1, 0]);  p_encoder_layer_23_output_bottleneck_dense_weight = None
2025-03-21T20:24:13.4203739Z             aten_addmm_default_360: "f32[8, 512]" = executorch_exir_dialects_edge__ops_aten_addmm_default(p_encoder_layer_23_output_bottleneck_dense_bias, aten_view_copy_default_960, aten_permute_copy_default_480);  p_encoder_layer_23_output_bottleneck_dense_bias = aten_view_copy_default_960 = aten_permute_copy_default_480 = None
2025-03-21T20:24:13.4204303Z             aten_view_copy_default_961: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(aten_addmm_default_360, [1, 8, 512]);  aten_addmm_default_360 = None
2025-03-21T20:24:13.4204431Z             
2025-03-21T20:24:13.4205208Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:396 in forward, code: layer_outputs = self.dropout(layer_outputs)
2025-03-21T20:24:13.4205731Z             aten_clone_default_72: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_clone_default(aten_view_copy_default_961);  aten_view_copy_default_961 = None
2025-03-21T20:24:13.4205833Z             
2025-03-21T20:24:13.4206683Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:397 in forward, code: layer_outputs = self.LayerNorm(layer_outputs + residual_tensor)
2025-03-21T20:24:13.4207298Z             aten_add_tensor_361: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_clone_default_72, aten_add_tensor_347);  aten_clone_default_72 = aten_add_tensor_347 = None
2025-03-21T20:24:13.4207396Z             
2025-03-21T20:24:13.4208153Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:165 in forward, code: return input_tensor * self.weight + self.bias
2025-03-21T20:24:13.4209011Z             aten_mul_tensor_193: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_add_tensor_361, p_encoder_layer_23_output_bottleneck_layernorm_weight);  aten_add_tensor_361 = p_encoder_layer_23_output_bottleneck_layernorm_weight = None
2025-03-21T20:24:13.4209865Z             aten_add_tensor_362: "f32[1, 8, 512]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(aten_mul_tensor_193, p_encoder_layer_23_output_bottleneck_layernorm_bias);  aten_mul_tensor_193 = p_encoder_layer_23_output_bottleneck_layernorm_bias = None
2025-03-21T20:24:13.4209960Z             
2025-03-21T20:24:13.4210702Z              # File: /opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/mobilebert/modeling_mobilebert.py:612 in forward, code: first_token_tensor = hidden_states[:, 0]
2025-03-21T20:24:13.4211096Z             aten_select_copy_int: "f32[1, 512]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(aten_add_tensor_362, 1, 0)
2025-03-21T20:24:13.4211271Z             return (aten_add_tensor_362, aten_select_copy_int)
2025-03-21T20:24:13.4211370Z             
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persistent=None), InputSpec(kind=<InputKind.CONSTANT_TENSOR: 4>, arg=TensorArgument(name='c_encoder_layer_8_lifted_tensor_8'), target='encoder.layer.8.lifted_tensor_8', persistent=None), InputSpec(kind=<InputKind.CONSTANT_TENSOR: 4>, arg=TensorArgument(name='c_encoder_layer_9_lifted_tensor_9'), target='encoder.layer.9.lifted_tensor_9', persistent=None), InputSpec(kind=<InputKind.CONSTANT_TENSOR: 4>, arg=TensorArgument(name='c_encoder_layer_10_lifted_tensor_10'), target='encoder.layer.10.lifted_tensor_10', persistent=None), InputSpec(kind=<InputKind.CONSTANT_TENSOR: 4>, arg=TensorArgument(name='c_encoder_layer_11_lifted_tensor_11'), target='encoder.layer.11.lifted_tensor_11', persistent=None), InputSpec(kind=<InputKind.CONSTANT_TENSOR: 4>, arg=TensorArgument(name='c_encoder_layer_12_lifted_tensor_12'), target='encoder.layer.12.lifted_tensor_12', persistent=None), InputSpec(kind=<InputKind.CONSTANT_TENSOR: 4>, arg=TensorArgument(name='c_encoder_layer_13_lifted_tensor_13'), target='encoder.layer.13.lifted_tensor_13', persistent=None), InputSpec(kind=<InputKind.CONSTANT_TENSOR: 4>, arg=TensorArgument(name='c_encoder_layer_14_lifted_tensor_14'), target='encoder.layer.14.lifted_tensor_14', persistent=None), InputSpec(kind=<InputKind.CONSTANT_TENSOR: 4>, arg=TensorArgument(name='c_encoder_layer_15_lifted_tensor_15'), target='encoder.layer.15.lifted_tensor_15', persistent=None), InputSpec(kind=<InputKind.CONSTANT_TENSOR: 4>, arg=TensorArgument(name='c_encoder_layer_16_lifted_tensor_16'), target='encoder.layer.16.lifted_tensor_16', persistent=None), InputSpec(kind=<InputKind.CONSTANT_TENSOR: 4>, arg=TensorArgument(name='c_encoder_layer_17_lifted_tensor_17'), target='encoder.layer.17.lifted_tensor_17', persistent=None), InputSpec(kind=<InputKind.CONSTANT_TENSOR: 4>, arg=TensorArgument(name='c_encoder_layer_18_lifted_tensor_18'), target='encoder.layer.18.lifted_tensor_18', persistent=None), InputSpec(kind=<InputKind.CONSTANT_TENSOR: 4>, arg=TensorArgument(name='c_encoder_layer_19_lifted_tensor_19'), target='encoder.layer.19.lifted_tensor_19', persistent=None), InputSpec(kind=<InputKind.CONSTANT_TENSOR: 4>, arg=TensorArgument(name='c_encoder_layer_20_lifted_tensor_20'), target='encoder.layer.20.lifted_tensor_20', persistent=None), InputSpec(kind=<InputKind.CONSTANT_TENSOR: 4>, arg=TensorArgument(name='c_encoder_layer_21_lifted_tensor_21'), target='encoder.layer.21.lifted_tensor_21', persistent=None), InputSpec(kind=<InputKind.CONSTANT_TENSOR: 4>, arg=TensorArgument(name='c_encoder_layer_22_lifted_tensor_22'), target='encoder.layer.22.lifted_tensor_22', persistent=None), InputSpec(kind=<InputKind.CONSTANT_TENSOR: 4>, arg=TensorArgument(name='c_encoder_layer_23_lifted_tensor_23'), target='encoder.layer.23.lifted_tensor_23', persistent=None), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='_lifted_tensor_constant1'), target='_lifted_tensor_constant1', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='_lifted_tensor_constant2'), target='_lifted_tensor_constant2', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='_lifted_tensor_constant3'), target='_lifted_tensor_constant3', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='_lifted_tensor_constant4'), target='_lifted_tensor_constant4', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='_lifted_tensor_constant5'), target='_lifted_tensor_constant5', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='_lifted_tensor_constant6'), target='_lifted_tensor_constant6', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='_lifted_tensor_constant7'), target='_lifted_tensor_constant7', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='_lifted_tensor_constant8'), target='_lifted_tensor_constant8', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='_lifted_tensor_constant9'), target='_lifted_tensor_constant9', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='_lifted_tensor_constant10'), target='_lifted_tensor_constant10', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='_lifted_tensor_constant11'), target='_lifted_tensor_constant11', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='_lifted_tensor_constant12'), target='_lifted_tensor_constant12', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='_lifted_tensor_constant13'), target='_lifted_tensor_constant13', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='_lifted_tensor_constant14'), target='_lifted_tensor_constant14', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='_lifted_tensor_constant15'), target='_lifted_tensor_constant15', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='_lifted_tensor_constant16'), target='_lifted_tensor_constant16', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='_lifted_tensor_constant17'), target='_lifted_tensor_constant17', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='_lifted_tensor_constant18'), target='_lifted_tensor_constant18', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='_lifted_tensor_constant19'), target='_lifted_tensor_constant19', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='_lifted_tensor_constant20'), target='_lifted_tensor_constant20', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='_lifted_tensor_constant21'), target='_lifted_tensor_constant21', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='_lifted_tensor_constant22'), target='_lifted_tensor_constant22', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='_lifted_tensor_constant23'), target='_lifted_tensor_constant23', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='_lifted_tensor_constant24'), target='_lifted_tensor_constant24', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='_lifted_tensor_constant25'), target='_lifted_tensor_constant25', persistent=True), InputSpec(kind=<InputKind.BUFFER: 3>, arg=TensorArgument(name='_lifted_tensor_constant26'), target='_lifted_tensor_constant26', persistent=True), InputSpec(kind=<InputKind.USER_INPUT: 1>, arg=TensorArgument(name='input_ids'), target=None, persistent=None)], output_specs=[OutputSpec(kind=<OutputKind.USER_OUTPUT: 1>, arg=TensorArgument(name='aten_add_tensor_362'), target=None), OutputSpec(kind=<OutputKind.USER_OUTPUT: 1>, arg=TensorArgument(name='aten_select_copy_int'), target=None)])
2025-03-21T20:24:56.3950330Z Range constraints: {}
2025-03-21T20:24:56.3950740Z 
2025-03-21T20:24:56.3951981Z [INFO 2025-03-21 20:24:48,362 utils.py:141] Saved exported program to ./mobilebert.pte
2025-03-21T20:24:56.3953040Z + run_portable_executor_runner
2025-03-21T20:24:56.3953615Z + [[ cmake == \b\u\c\k\2 ]]
2025-03-21T20:24:56.3954127Z + [[ cmake == \c\m\a\k\e ]]
2025-03-21T20:24:56.3954661Z + build_cmake_executor_runner
2025-03-21T20:24:56.3955220Z + echo 'Building executor_runner'
2025-03-21T20:24:56.3955864Z Building executor_runner
2025-03-21T20:24:56.3956512Z + rm -rf cmake-out
2025-03-21T20:24:56.3957574Z + cmake -DCMAKE_BUILD_TYPE=Debug -DEXECUTORCH_BUILD_KERNELS_OPTIMIZED=ON -DPYTHON_EXECUTABLE=python -Bcmake-out .
2025-03-21T20:24:56.3958863Z -- The C compiler identification is Clang 12.0.1
2025-03-21T20:24:56.3959625Z -- The CXX compiler identification is Clang 12.0.1
2025-03-21T20:24:56.3960351Z -- Detecting C compiler ABI info
2025-03-21T20:24:56.3960961Z -- Detecting C compiler ABI info - done
2025-03-21T20:24:56.3961617Z -- Check for working C compiler: /opt/cache/bin/cc - skipped
2025-03-21T20:24:56.3962283Z -- Detecting C compile features
2025-03-21T20:24:56.3962828Z -- Detecting C compile features - done
2025-03-21T20:24:56.3963400Z -- Detecting CXX compiler ABI info
2025-03-21T20:24:56.3963981Z -- Detecting CXX compiler ABI info - done
2025-03-21T20:24:56.3964710Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped
2025-03-21T20:24:56.3965461Z -- Detecting CXX compile features
2025-03-21T20:24:56.3966082Z -- Detecting CXX compile features - done
2025-03-21T20:24:56.3967608Z CMake Deprecation Warning at backends/xnnpack/third-party/FXdiv/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2025-03-21T20:24:56.3968997Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:24:56.3969812Z   CMake.
2025-03-21T20:24:56.3970024Z 
2025-03-21T20:24:56.3970451Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:24:56.3971534Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:24:56.3972477Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:24:56.3972999Z 
2025-03-21T20:24:56.3973266Z 
2025-03-21T20:24:56.3974472Z CMake Deprecation Warning at backends/xnnpack/third-party/cpuinfo/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2025-03-21T20:24:56.3975922Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:24:56.3976747Z   CMake.
2025-03-21T20:24:56.3976948Z 
2025-03-21T20:24:56.3977391Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:24:56.3978494Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:24:56.3979439Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:24:56.3979934Z 
2025-03-21T20:24:56.3980167Z 
2025-03-21T20:24:56.3980617Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD
2025-03-21T20:24:56.3981354Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success
2025-03-21T20:24:56.3982063Z -- Found Threads: TRUE
2025-03-21T20:24:56.3983468Z CMake Deprecation Warning at backends/xnnpack/third-party/pthreadpool/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2025-03-21T20:24:56.3985002Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:24:56.3985995Z   CMake.
2025-03-21T20:24:56.3986207Z 
2025-03-21T20:24:56.3986661Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:24:56.3987788Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:24:56.3988748Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:24:56.3989277Z 
2025-03-21T20:24:56.3989491Z 
2025-03-21T20:24:56.3989884Z -- Using python executable 'python'
2025-03-21T20:24:56.3990483Z -- Resolved buck2 as buck2.
2025-03-21T20:24:56.3991072Z -- Killing buck2 daemon
2025-03-21T20:24:56.3991538Z 'buck2 killall'
2025-03-21T20:24:56.3992007Z -- executorch: Generating source lists
2025-03-21T20:24:56.3993111Z -- executorch: Generating source file list /pytorch/executorch/cmake-out/executorch_srcs.cmake
2025-03-21T20:24:56.3994534Z -- executorch: Using sources file /pytorch/executorch/cmake-out/executorch_srcs.cmake
2025-03-21T20:24:56.3995457Z -- executorch: Using PAL default 'posix'
2025-03-21T20:24:56.3996037Z -- Generating operator lib:
2025-03-21T20:24:56.3996545Z --   LIB_NAME: portable_ops_lib
2025-03-21T20:24:56.3997319Z --   OPS_SCHEMA_YAML: /pytorch/executorch/kernels/portable/functions.yaml
2025-03-21T20:24:56.3998068Z --   ROOT_OPS: 
2025-03-21T20:24:56.3998458Z --   INCLUDE_ALL_OPS: 
2025-03-21T20:24:56.4000942Z 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"
2025-03-21T20:24:56.4003560Z -- Generating kernel bindings:
2025-03-21T20:24:56.4004130Z --   LIB_NAME: portable_ops_lib
2025-03-21T20:24:56.4004849Z --   FUNCTIONS_YAML: /pytorch/executorch/kernels/portable/functions.yaml
2025-03-21T20:24:56.4005661Z --   CUSTOM_OPS_YAML: 
2025-03-21T20:24:56.4006154Z --   ADD_EXCEPTION_BOUNDARY: FALSE
2025-03-21T20:24:56.4009581Z 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
2025-03-21T20:24:56.4012753Z -- Generating operator lib:
2025-03-21T20:24:56.4013332Z --   LIB_NAME: portable_ops_lib
2025-03-21T20:24:56.4013912Z --   KERNEL_LIBS: portable_kernels
2025-03-21T20:24:56.4014493Z --   DEPS: executorch
2025-03-21T20:24:56.4015496Z 'python' '-c' 'import importlib.util; print(importlib.util.find_spec('torch').submodule_search_locations[0])'
2025-03-21T20:24:56.4016654Z -- Generating operator lib:
2025-03-21T20:24:56.4017209Z --   LIB_NAME: optimized_ops_lib
2025-03-21T20:24:56.4018027Z --   OPS_SCHEMA_YAML: /pytorch/executorch/kernels/optimized/optimized.yaml
2025-03-21T20:24:56.4018867Z --   ROOT_OPS: 
2025-03-21T20:24:56.4019320Z --   INCLUDE_ALL_OPS: 
2025-03-21T20:24:56.4021931Z 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"
2025-03-21T20:24:56.4024298Z -- Generating kernel bindings:
2025-03-21T20:24:56.4024879Z --   LIB_NAME: optimized_ops_lib
2025-03-21T20:24:56.4025698Z --   FUNCTIONS_YAML: /pytorch/executorch/kernels/optimized/optimized.yaml
2025-03-21T20:24:56.4026572Z --   CUSTOM_OPS_YAML: 
2025-03-21T20:24:56.4027089Z --   ADD_EXCEPTION_BOUNDARY: TRUE
2025-03-21T20:24:56.4030738Z 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
2025-03-21T20:24:56.4033982Z -- Generating operator lib:
2025-03-21T20:24:56.4034555Z --   LIB_NAME: optimized_ops_lib
2025-03-21T20:24:56.4035137Z --   KERNEL_LIBS: optimized_kernels
2025-03-21T20:24:56.4035860Z --   DEPS: executorch
2025-03-21T20:24:56.4036365Z -- Merging kernel yaml files:
2025-03-21T20:24:56.4037377Z --   FUNCTIONS_YAML: /pytorch/executorch/configurations/../kernels/optimized/optimized.yaml
2025-03-21T20:24:56.4038870Z --   FALLBACK_YAML: /pytorch/executorch/configurations/../kernels/portable/functions.yaml
2025-03-21T20:24:56.4040057Z --   OUTPUT_DIR: /pytorch/executorch/cmake-out/configurations
2025-03-21T20:24:56.4040778Z -- Generating operator lib:
2025-03-21T20:24:56.4041376Z --   LIB_NAME: optimized_native_cpu_ops_lib
2025-03-21T20:24:56.4042409Z --   OPS_SCHEMA_YAML: /pytorch/executorch/cmake-out/configurations/merged.yaml
2025-03-21T20:24:56.4043318Z --   ROOT_OPS: 
2025-03-21T20:24:56.4043753Z --   INCLUDE_ALL_OPS: 
2025-03-21T20:24:56.4046594Z 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"
2025-03-21T20:24:56.4049091Z -- Generating kernel bindings:
2025-03-21T20:24:56.4049710Z --   LIB_NAME: optimized_native_cpu_ops_lib
2025-03-21T20:24:56.4050729Z --   FUNCTIONS_YAML: /pytorch/executorch/cmake-out/configurations/merged.yaml
2025-03-21T20:24:56.4051654Z --   CUSTOM_OPS_YAML: 
2025-03-21T20:24:56.4052155Z --   ADD_EXCEPTION_BOUNDARY: TRUE
2025-03-21T20:24:56.4055998Z 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
2025-03-21T20:24:56.4059373Z -- Generating operator lib:
2025-03-21T20:24:56.4059963Z --   LIB_NAME: optimized_native_cpu_ops_lib
2025-03-21T20:24:56.4060757Z --   KERNEL_LIBS: optimized_kernels;optimized_portable_kernels
2025-03-21T20:24:56.4061498Z --   DEPS: executorch
2025-03-21T20:24:56.4062658Z CMake Deprecation Warning at third-party/gflags/CMakeLists.txt:73 (cmake_minimum_required):
2025-03-21T20:24:56.4063992Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:24:56.4064849Z   CMake.
2025-03-21T20:24:56.4065077Z 
2025-03-21T20:24:56.4065545Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:24:56.4066654Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:24:56.4067599Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:24:56.4068131Z 
2025-03-21T20:24:56.4068346Z 
2025-03-21T20:24:56.4068769Z -- Looking for C++ include unistd.h
2025-03-21T20:24:56.4069420Z -- Looking for C++ include unistd.h - found
2025-03-21T20:24:56.4070082Z -- Looking for C++ include stdint.h
2025-03-21T20:24:56.4070724Z -- Looking for C++ include stdint.h - found
2025-03-21T20:24:56.4071407Z -- Looking for C++ include inttypes.h
2025-03-21T20:24:56.4072083Z -- Looking for C++ include inttypes.h - found
2025-03-21T20:24:56.4072745Z -- Looking for C++ include sys/types.h
2025-03-21T20:24:56.4073509Z -- Looking for C++ include sys/types.h - found
2025-03-21T20:24:56.4074185Z -- Looking for C++ include sys/stat.h
2025-03-21T20:24:56.4074835Z -- Looking for C++ include sys/stat.h - found
2025-03-21T20:24:56.4075519Z -- Looking for C++ include fnmatch.h
2025-03-21T20:24:56.4076176Z -- Looking for C++ include fnmatch.h - found
2025-03-21T20:24:56.4076856Z -- Looking for C++ include stddef.h
2025-03-21T20:24:56.4077484Z -- Looking for C++ include stddef.h - found
2025-03-21T20:24:56.4078142Z -- Check size of uint32_t
2025-03-21T20:24:56.4078671Z -- Check size of uint32_t - done
2025-03-21T20:24:56.4079241Z -- Looking for strtoll
2025-03-21T20:24:56.4079746Z -- Looking for strtoll - found
2025-03-21T20:24:56.4080255Z -- 
2025-03-21T20:24:56.4080655Z -- ******** Summary ********
2025-03-21T20:24:56.4081213Z --   CMAKE_BUILD_TYPE              : Debug
2025-03-21T20:24:56.4081950Z --   CMAKE_CXX_STANDARD            : 17
2025-03-21T20:24:56.4082581Z --   CMAKE_CXX_COMPILER_ID         : Clang
2025-03-21T20:24:56.4083203Z --   CMAKE_TOOLCHAIN_FILE          : 
2025-03-21T20:24:56.4083804Z --   BUCK2                         : buck2
2025-03-21T20:24:56.4084439Z --   PYTHON_EXECUTABLE             : python
2025-03-21T20:24:56.4085415Z --   FLATC_EXECUTABLE              : /pytorch/executorch/cmake-out/third-party/flatbuffers/flatc
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2025-03-21T20:24:58.2426771Z 
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2025-03-21T20:25:40.2344270Z [ 97%] Building CXX object kernels/portable/CMakeFiles/optimized_portable_kernels.dir/cpu/util/upsample_util.cpp.o
2025-03-21T20:25:40.2345360Z [ 97%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/util/slice_util.cpp.o
2025-03-21T20:25:40.2346402Z [ 97%] Building CXX object kernels/portable/CMakeFiles/portable_kernels.dir/cpu/util/upsample_util.cpp.o
2025-03-21T20:25:40.2347255Z [ 97%] Linking CXX static library liboptimized_portable_kernels.a
2025-03-21T20:25:40.2347886Z [ 97%] Linking CXX static library libportable_kernels.a
2025-03-21T20:25:40.2348318Z [ 97%] Built target portable_kernels
2025-03-21T20:25:40.2348851Z [ 97%] Generating selected_operators.yaml for portable_ops_lib
2025-03-21T20:25:40.2349355Z [ 97%] Built target optimized_portable_kernels
2025-03-21T20:25:40.2349790Z [ 97%] Merging kernel yaml files
2025-03-21T20:25:40.2350398Z [ 97%] Generating selected_operators.yaml for optimized_native_cpu_ops_lib
2025-03-21T20:25:40.2351034Z [ 98%] Generating code for kernel registration
2025-03-21T20:25:40.2351532Z [ 98%] Generating code for kernel registration
2025-03-21T20:25:40.2352552Z [ 98%] Building CXX object kernels/portable/CMakeFiles/portable_ops_lib.dir/portable_ops_lib/RegisterCodegenUnboxedKernelsEverything.cpp.o
2025-03-21T20:25:40.2353648Z [ 98%] Linking CXX static library libportable_ops_lib.a
2025-03-21T20:25:40.2354088Z [ 98%] Built target portable_ops_lib
2025-03-21T20:25:40.2355146Z [ 99%] Building CXX object configurations/CMakeFiles/optimized_native_cpu_ops_lib.dir/optimized_native_cpu_ops_lib/RegisterCodegenUnboxedKernelsEverything.cpp.o
2025-03-21T20:25:40.2356280Z [ 99%] Linking CXX static library liboptimized_native_cpu_ops_lib.a
2025-03-21T20:25:40.2356951Z [ 99%] Built target optimized_native_cpu_ops_lib
2025-03-21T20:25:40.2357880Z [ 99%] Building CXX object CMakeFiles/executor_runner.dir/examples/portable/executor_runner/executor_runner.cpp.o
2025-03-21T20:25:40.2358951Z [ 99%] Building CXX object CMakeFiles/executor_runner.dir/extension/data_loader/file_data_loader.cpp.o
2025-03-21T20:25:40.2360021Z [100%] Building CXX object CMakeFiles/executor_runner.dir/extension/evalue_util/print_evalue.cpp.o
2025-03-21T20:25:40.2360982Z [100%] Building CXX object CMakeFiles/executor_runner.dir/extension/runner_util/inputs.cpp.o
2025-03-21T20:25:40.2361954Z [100%] Building CXX object CMakeFiles/executor_runner.dir/extension/runner_util/inputs_portable.cpp.o
2025-03-21T20:25:40.2363010Z [100%] Building CXX object CMakeFiles/executor_runner.dir/runtime/executor/test/test_backend_compiler_lib.cpp.o
2025-03-21T20:25:40.2363843Z [100%] Linking CXX executable executor_runner
2025-03-21T20:25:40.2364365Z [100%] Built target executor_runner
2025-03-21T20:25:40.2364983Z + ./cmake-out/executor_runner --model_path ./mobilebert.pte
2025-03-21T20:25:40.2366019Z I 00:00:00.000582 executorch:cpuinfo_utils.cpp:62] Reading file /sys/devices/soc0/image_version
2025-03-21T20:25:40.2367108Z I 00:00:00.000617 executorch:cpuinfo_utils.cpp:78] Failed to open midr file /sys/devices/soc0/image_version
2025-03-21T20:25:40.2367999Z I 00:00:00.000636 executorch:cpuinfo_utils.cpp:91] Reading file /sys/devices/system/cpu/cpu0/regs/identification/midr_el1
2025-03-21T20:25:40.2369051Z I 00:00:00.000657 executorch:cpuinfo_utils.cpp:100] Failed to open midr file /sys/devices/system/cpu/cpu0/regs/identification/midr_el1
2025-03-21T20:25:40.2370273Z I 00:00:00.000664 executorch:cpuinfo_utils.cpp:116] CPU info and manual query on # of cpus dont match.
2025-03-21T20:25:40.2371080Z I 00:00:00.000669 executorch:executor_runner.cpp:143] Resetting threadpool with num threads = 0
2025-03-21T20:25:40.2371825Z I 00:00:00.049730 executorch:executor_runner.cpp:166] Model file ./mobilebert.pte is loaded.
2025-03-21T20:25:40.2372476Z I 00:00:00.049754 executorch:executor_runner.cpp:175] Using method forward
2025-03-21T20:25:40.2373189Z I 00:00:00.049768 executorch:executor_runner.cpp:226] Setting up planned buffer 0, size 819360.
2025-03-21T20:25:40.2373944Z I 00:00:00.058234 executorch:executor_runner.cpp:251] Method loaded.
2025-03-21T20:25:40.2374800Z I 00:00:03.445983 executorch:executor_runner.cpp:289] Model executed successfully 1 time(s) in 3387.721894 ms.
2025-03-21T20:25:40.2375491Z I 00:00:03.446009 executorch:executor_runner.cpp:293] 2 outputs: 
2025-03-21T20:25:40.2375952Z Output 0: tensor(sizes=[1, 8, 512], [
2025-03-21T20:25:40.2376706Z   -8.04061e+06, 73817.4, 39579.7, 8.44718e+06, 1.16934e+07, 31046.1, 1.40879e+06, 2.62794e+06, -6687.71, 13327.1, 
2025-03-21T20:25:40.2377607Z   -18269.9, -21104.4, 1.07667e+07, 1.1471e+07, 9.62155e+06, -4.05891e+06, -1.32446e+07, -3.60583e+06, -3.90555e+06, -5.01416e+06, 
2025-03-21T20:25:40.2378547Z   -3.44065e+06, 5.40371e+06, -4.37348e+06, -859938., 3.6902e+06, -6.16704e+06, -8961.45, 8.34351e+06, 329266, 34204.6, 
2025-03-21T20:25:40.2379762Z   3.3481e+06, 1.03225e+07, -23531.5, -2.13456e+06, 3.6047e+06, -82340.8, -104909, 5.15883e+06, -1.00987e+07, 103798., 
2025-03-21T20:25:40.2380985Z   -16014.1, 7.35189e+06, -228709., 653.029, -1.2329e+07, -7.83825e+06, 1.4845e+07, -14879., -1.21568e+07, 5.81312e+06, 
2025-03-21T20:25:40.2381863Z   -1.19825e+07, 4.11036e+06, 9443.02, 1.95942e+06, -1.1759e+07, -3.00249e+06, 419985, -1.6687e+07, 3.57004e+06, 6610.57, 
2025-03-21T20:25:40.2399416Z   7.24053e+06, -1.48429e+06, -2.93925e+06, -3.77938e+06, 3.76985e+06, -27536.8, 71809.5, -30207.3, 319731, 28409.5, 
2025-03-21T20:25:40.2400899Z   -98149.7, 8.0864e+06, -9453.04, -2.07851e+06, 862146., -96926.2, 31066., 1.04072e+07, 38882.4, 1892.38, 
2025-03-21T20:25:40.2402628Z   607997., -5.1317e+06, 1.09675e+07, -61438.6, -6.43968e+06, 1.13118e+07, -1.16546e+07, 2.25241e+07, -3.69442e+06, 25833.2, 
2025-03-21T20:25:40.2404225Z   82340.9, -2.13427e+06, 7.05562e+06, -1.23217e+06, -6.49279e+06, -30374.1, 18571.9, 38820.5, 7.24479e+06, 2.70737e+06, 
2025-03-21T20:25:40.2405275Z   ...,
2025-03-21T20:25:40.2406049Z   -2.04092, -0.0269719, -3.50279, 4.56629, -12.4158, 0.841217, 1.56635, 1.88018, 2.63148, -0.731197, 
2025-03-21T20:25:40.2407406Z   1.35166, -3.29165, 1.35304, -0.371246, 0.123443, -0.0766684, 0.68789, 0.271097, -0.318354, -2.0679, 
2025-03-21T20:25:40.2408402Z   0.719027, -1.43868, 1.39588, -3.63191, 1.55582, -1.07426, 2.68573, -1.24465, 2.62912, 1.30281, 
2025-03-21T20:25:40.2409420Z   0.688316, -2.90323, -1.80346, -0.0139044, -0.427371, -0.626448, -0.204636, 2.60152, -0.151334, -0.489227, 
2025-03-21T20:25:40.2410475Z   -0.156969, 3.47602, -0.194447, -3.69195, 1.54671, -0.578659, -1.38772, -0.98289, -5.51836, 0.0396601, 
2025-03-21T20:25:40.2411507Z   -2.57695, -0.248999, 1.26029, -0.345592, 1.07489, 0.0731778, 0.941988, 0.51935, -3.89253, -0.739487, 
2025-03-21T20:25:40.2412629Z   -1.30039, -3.43775, 2.90029, -0.739311, 2.56891, -2.29798, 1.8846, 1.98492, 1.79543, 3.0327, 
2025-03-21T20:25:40.2413591Z   -1.94264, -0.26647, -1.62218, 1.1076, -1.36499, 2.67001, 1.57253, 1.98985, 2.75614, 2.54758, 
2025-03-21T20:25:40.2414783Z   0.467577, 1.54398, -1.20353, -3.06108, -2.84359, -0.563491, 3.49944, 0.194824, -2.59768, 0.0629147, 
2025-03-21T20:25:40.2415881Z   -1.45234, 0.295451, 1.04722, -3.62878, 2.33652, 1.70569, 6.59786, 0.399125, -1.70395, 2.57921, 
2025-03-21T20:25:40.2416699Z ])
2025-03-21T20:25:40.2417088Z Output 1: tensor(sizes=[1, 512], [
2025-03-21T20:25:40.2418168Z   -8.04061e+06, 73817.4, 39579.7, 8.44718e+06, 1.16934e+07, 31046.1, 1.40879e+06, 2.62794e+06, -6687.71, 13327.1, 
2025-03-21T20:25:40.2419706Z   -18269.9, -21104.4, 1.07667e+07, 1.1471e+07, 9.62155e+06, -4.05891e+06, -1.32446e+07, -3.60583e+06, -3.90555e+06, -5.01416e+06, 
2025-03-21T20:25:40.2421205Z   -3.44065e+06, 5.40371e+06, -4.37348e+06, -859938., 3.6902e+06, -6.16704e+06, -8961.45, 8.34351e+06, 329266, 34204.6, 
2025-03-21T20:25:40.2422654Z   3.3481e+06, 1.03225e+07, -23531.5, -2.13456e+06, 3.6047e+06, -82340.8, -104909, 5.15883e+06, -1.00987e+07, 103798., 
2025-03-21T20:25:40.2424116Z   -16014.1, 7.35189e+06, -228709., 653.029, -1.2329e+07, -7.83825e+06, 1.4845e+07, -14879., -1.21568e+07, 5.81312e+06, 
2025-03-21T20:25:40.2425563Z   -1.19825e+07, 4.11036e+06, 9443.02, 1.95942e+06, -1.1759e+07, -3.00249e+06, 419985, -1.6687e+07, 3.57004e+06, 6610.57, 
2025-03-21T20:25:40.2426965Z   7.24053e+06, -1.48429e+06, -2.93925e+06, -3.77938e+06, 3.76985e+06, -27536.8, 71809.5, -30207.3, 319731, 28409.5, 
2025-03-21T20:25:40.2428252Z   -98149.7, 8.0864e+06, -9453.04, -2.07851e+06, 862146., -96926.2, 31066., 1.04072e+07, 38882.4, 1892.38, 
2025-03-21T20:25:40.2429692Z   607997., -5.1317e+06, 1.09675e+07, -61438.6, -6.43968e+06, 1.13118e+07, -1.16546e+07, 2.25241e+07, -3.69442e+06, 25833.2, 
2025-03-21T20:25:40.2431141Z   82340.9, -2.13427e+06, 7.05562e+06, -1.23217e+06, -6.49279e+06, -30374.1, 18571.9, 38820.5, 7.24479e+06, 2.70737e+06, 
2025-03-21T20:25:40.2432175Z   ...,
2025-03-21T20:25:40.2433127Z   -1.17079e+07, 3.56634e+06, 512016, -12416.7, 2.59336e+06, -3.50712e+06, 4.91881e+06, 1.0917e+07, -5.25691e+06, -8.24128e+06, 
2025-03-21T20:25:40.2434564Z   -1.21154e+07, 791904., -7.65073e+06, -5.69418e+06, -2.30923e+06, 5253.13, -6.93645e+06, 51503.7, -1.73419e+06, 6.76875e+06, 
2025-03-21T20:25:40.2435874Z   -492361., 3.90895e+06, 211520, -5.03693e+06, 53830.5, 46086.5, -16586.9, 4.04012e+06, 3.2256e+06, 662420, 
2025-03-21T20:25:40.2437020Z   27974.7, 78358.2, 45528.9, -5984.48, 20865.7, -13112.6, 858635., -71000, 144630, 640.348, 
2025-03-21T20:25:40.2438184Z   -106838., 184200., -1.05728e+07, 20963.3, 47561.4, -6.13584e+06, 1.20768e+06, 30881.8, 5.71328e+06, -6.77473e+06, 
2025-03-21T20:25:40.2439426Z   -21284.7, -185623, -6883.13, 126160, -5.21635e+06, 855189, 47514.5, -113007, -3.79478e+06, -71066.4, 
2025-03-21T20:25:40.2440637Z   56920.3, -1198.23, -8.28054e+06, -1.07964e+07, 384573., -241523., 20206.1, 598119., -16450.3, 2.26074e+07, 
2025-03-21T20:25:40.2441874Z   -4.0932e+06, 4779.93, 3791.85, 241857., 4.4052e+06, 5.03533e+06, 15445.2, 2.68566e+06, -60963.3, 6.69099e+06, 
2025-03-21T20:25:40.2443172Z   -2.13933e+06, -12090, 1.23757e+07, 4.77718e+06, -3.44858e+06, 2.52403e+06, -8.40954e+06, -44315, 213042., 39743.5, 
2025-03-21T20:25:40.2444472Z   1.17133e+07, 2.50065e+06, -35694.3, -230147., -764585, 5055.23, -3.69489e+06, -642406, 449102, 8554.75, 
2025-03-21T20:25:40.2445367Z ])
2025-03-21T20:25:40.2506899Z ##[group]Run pmeier/pytest-results-action@v0.3.0
2025-03-21T20:25:40.2507301Z with:
2025-03-21T20:25:40.2507634Z   path: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:25:40.2508065Z   fail-on-empty: false
2025-03-21T20:25:40.2508336Z env:
2025-03-21T20:25:40.2508635Z   DOCKER_IMAGE: executorch-ubuntu-22.04-clang12
2025-03-21T20:25:40.2509022Z   REPOSITORY: pytorch/executorch
2025-03-21T20:25:40.2509410Z   PR_NUMBER: 
2025-03-21T20:25:40.2511216Z   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=mobilebert
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}"

2025-03-21T20:25:40.2513453Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:25:40.2514104Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:25:40.2514685Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:25:40.2515111Z ##[endgroup]
2025-03-21T20:25:40.3145253Z Prepare all required actions
2025-03-21T20:25:40.3180175Z ##[group]Run ./test-infra/.github/actions/chown-directory
2025-03-21T20:25:40.3180682Z with:
2025-03-21T20:25:40.3181142Z   directory: /home/ec2-user/actions-runner/_work/executorch/executorch/
2025-03-21T20:25:40.3181845Z   ALPINE_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine
2025-03-21T20:25:40.3182348Z env:
2025-03-21T20:25:40.3182717Z   DOCKER_IMAGE: executorch-ubuntu-22.04-clang12
2025-03-21T20:25:40.3183134Z   REPOSITORY: pytorch/executorch
2025-03-21T20:25:40.3183523Z   PR_NUMBER: 
2025-03-21T20:25:40.3185437Z   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=mobilebert
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}"

2025-03-21T20:25:40.3187426Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:25:40.3188070Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:25:40.3188654Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:25:40.3189076Z ##[endgroup]
2025-03-21T20:25:40.3211480Z ##[group]Run docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
2025-03-21T20:25:40.3212233Z docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
2025-03-21T20:25:40.3221454Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:25:40.3221871Z env:
2025-03-21T20:25:40.3222149Z   DOCKER_IMAGE: executorch-ubuntu-22.04-clang12
2025-03-21T20:25:40.3222546Z   REPOSITORY: pytorch/executorch
2025-03-21T20:25:40.3222865Z   PR_NUMBER: 
2025-03-21T20:25:40.3224646Z   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=mobilebert
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}"

2025-03-21T20:25:40.3226632Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:25:40.3227264Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:25:40.3227950Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:25:40.3228529Z   ALPINE_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine
2025-03-21T20:25:40.3229123Z   DIRECTORY: /home/ec2-user/actions-runner/_work/executorch/executorch/
2025-03-21T20:25:40.3229588Z ##[endgroup]
2025-03-21T20:25:40.3397967Z Unable to find image '308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine:latest' locally
2025-03-21T20:25:40.5507627Z latest: Pulling from tool/alpine
2025-03-21T20:25:40.5511318Z 540db60ca938: Pulling fs layer
2025-03-21T20:25:40.6569990Z 540db60ca938: Verifying Checksum
2025-03-21T20:25:40.6570477Z 540db60ca938: Download complete
2025-03-21T20:25:40.7429735Z 540db60ca938: Pull complete
2025-03-21T20:25:40.7539330Z Digest: sha256:def822f9851ca422481ec6fee59a9966f12b351c62ccb9aca841526ffaa9f748
2025-03-21T20:25:40.7579706Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine:latest
2025-03-21T20:25:44.6086842Z Prepare all required actions
2025-03-21T20:25:44.6115755Z ##[group]Run ./test-infra/.github/actions/chown-directory
2025-03-21T20:25:44.6116172Z with:
2025-03-21T20:25:44.6116482Z   directory: /home/ec2-user/actions-runner/_work/_temp
2025-03-21T20:25:44.6117019Z   ALPINE_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine
2025-03-21T20:25:44.6117482Z env:
2025-03-21T20:25:44.6117752Z   DOCKER_IMAGE: executorch-ubuntu-22.04-clang12
2025-03-21T20:25:44.6118147Z   REPOSITORY: pytorch/executorch
2025-03-21T20:25:44.6118470Z   PR_NUMBER: 
2025-03-21T20:25:44.6120291Z   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=mobilebert
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}"

2025-03-21T20:25:44.6122289Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:25:44.6122919Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:25:44.6123513Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:25:44.6123926Z ##[endgroup]
2025-03-21T20:25:44.6146623Z ##[group]Run docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
2025-03-21T20:25:44.6147380Z docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
2025-03-21T20:25:44.6154851Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:25:44.6155267Z env:
2025-03-21T20:25:44.6155559Z   DOCKER_IMAGE: executorch-ubuntu-22.04-clang12
2025-03-21T20:25:44.6155957Z   REPOSITORY: pytorch/executorch
2025-03-21T20:25:44.6156277Z   PR_NUMBER: 
2025-03-21T20:25:44.6158065Z   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=mobilebert
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}"

2025-03-21T20:25:44.6160049Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:25:44.6160685Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:25:44.6161268Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:25:44.6161833Z   ALPINE_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine
2025-03-21T20:25:44.6162370Z   DIRECTORY: /home/ec2-user/actions-runner/_work/_temp
2025-03-21T20:25:44.6162758Z ##[endgroup]
2025-03-21T20:25:45.5533597Z ##[group]Run # Only do these steps if we actually want to upload an artifact
2025-03-21T20:25:45.5534270Z # Only do these steps if we actually want to upload an artifact
2025-03-21T20:25:45.5534775Z if [[ -n "${UPLOAD_ARTIFACT_NAME}" ]]; then
2025-03-21T20:25:45.5535355Z   # If the default execution path is followed then we should get a wheel in the dist/ folder
2025-03-21T20:25:45.5536024Z   # attempt to just grab whatever is in there and scoop it all up
2025-03-21T20:25:45.5536622Z   if find "dist/" -name "*.whl" >/dev/null 2>/dev/null; then
2025-03-21T20:25:45.5537203Z     mv -v dist/*.whl "${RUNNER_ARTIFACT_DIR}/"
2025-03-21T20:25:45.5537578Z   fi
2025-03-21T20:25:45.5537889Z   if [[ -d "artifacts-to-be-uploaded" ]]; then
2025-03-21T20:25:45.5538369Z     mv -v artifacts-to-be-uploaded/* "${RUNNER_ARTIFACT_DIR}/"
2025-03-21T20:25:45.5538811Z   fi
2025-03-21T20:25:45.5539103Z fi
2025-03-21T20:25:45.5539344Z 
2025-03-21T20:25:45.5539572Z upload_docs=0
2025-03-21T20:25:45.5540004Z # Check if there are files in the documentation folder to upload, note that
2025-03-21T20:25:45.5540516Z # empty folders do not count
2025-03-21T20:25:45.5541011Z if find "${RUNNER_DOCS_DIR}" -mindepth 1 -maxdepth 1 -type f | read -r; then
2025-03-21T20:25:45.5541659Z   # TODO: Add a check here to test if on ec2 because if we're not on ec2 then this
2025-03-21T20:25:45.5542196Z   # upload will probably not work correctly
2025-03-21T20:25:45.5542567Z   upload_docs=1
2025-03-21T20:25:45.5542848Z fi
2025-03-21T20:25:45.5543194Z echo "upload-docs=${upload_docs}" >> "${GITHUB_OUTPUT}"
2025-03-21T20:25:45.5549255Z shell: /usr/bin/bash -e {0}
2025-03-21T20:25:45.5549563Z env:
2025-03-21T20:25:45.5549861Z   DOCKER_IMAGE: executorch-ubuntu-22.04-clang12
2025-03-21T20:25:45.5550268Z   REPOSITORY: pytorch/executorch
2025-03-21T20:25:45.5550587Z   PR_NUMBER: 
2025-03-21T20:25:45.5552363Z   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=mobilebert
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}"

2025-03-21T20:25:45.5554496Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:25:45.5555141Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:25:45.5555723Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:25:45.5556162Z   UPLOAD_ARTIFACT_NAME: 
2025-03-21T20:25:45.5556449Z ##[endgroup]
2025-03-21T20:25:45.5661110Z Prepare all required actions
2025-03-21T20:25:45.5694852Z ##[group]Run ./test-infra/.github/actions/teardown-linux
2025-03-21T20:25:45.5695303Z with:
2025-03-21T20:25:45.5695542Z env:
2025-03-21T20:25:45.5695815Z   DOCKER_IMAGE: executorch-ubuntu-22.04-clang12
2025-03-21T20:25:45.5696214Z   REPOSITORY: pytorch/executorch
2025-03-21T20:25:45.5696541Z   PR_NUMBER: 
2025-03-21T20:25:45.5698320Z   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=mobilebert
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}"

2025-03-21T20:25:45.5700319Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:25:45.5701003Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:25:45.5701683Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:25:45.5702420Z ##[endgroup]
2025-03-21T20:25:45.5723380Z ##[group]Run set -eou pipefail
2025-03-21T20:25:45.5723742Z set -eou pipefail
2025-03-21T20:25:45.5724046Z 
2025-03-21T20:25:45.5724440Z echo "Holding runner for 2 hours until all ssh sessions have logged out"
2025-03-21T20:25:45.5724946Z for _ in $(seq 1440); do
2025-03-21T20:25:45.5725315Z     # Break if no ssh session exists anymore
2025-03-21T20:25:45.5725698Z     if [ "$(who)" = "" ]; then
2025-03-21T20:25:45.5726110Z       break
2025-03-21T20:25:45.5726365Z     fi
2025-03-21T20:25:45.5726617Z     echo "."
2025-03-21T20:25:45.5726887Z     sleep 5
2025-03-21T20:25:45.5727155Z done
2025-03-21T20:25:45.5733009Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:25:45.5733427Z env:
2025-03-21T20:25:45.5733706Z   DOCKER_IMAGE: executorch-ubuntu-22.04-clang12
2025-03-21T20:25:45.5734117Z   REPOSITORY: pytorch/executorch
2025-03-21T20:25:45.5734443Z   PR_NUMBER: 
2025-03-21T20:25:45.5736225Z   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=mobilebert
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}"

2025-03-21T20:25:45.5738208Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:25:45.5738839Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:25:45.5739437Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:25:45.5739858Z ##[endgroup]
2025-03-21T20:25:45.5764153Z Holding runner for 2 hours until all ssh sessions have logged out
2025-03-21T20:25:45.5829661Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-03-21T20:25:45.5830305Z # ignore expansion of "docker ps -q" since it could be empty
2025-03-21T20:25:45.5830782Z # shellcheck disable=SC2046
2025-03-21T20:25:45.5831141Z docker stop $(docker ps -q) || true
2025-03-21T20:25:45.5831531Z # Prune all of the docker images
2025-03-21T20:25:45.5831907Z docker system prune -af
2025-03-21T20:25:45.5838420Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:25:45.5838858Z env:
2025-03-21T20:25:45.5839162Z   DOCKER_IMAGE: executorch-ubuntu-22.04-clang12
2025-03-21T20:25:45.5839560Z   REPOSITORY: pytorch/executorch
2025-03-21T20:25:45.5839907Z   PR_NUMBER: 
2025-03-21T20:25:45.5841973Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

MODEL_NAME=mobilebert
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}"

2025-03-21T20:25:45.5843995Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:25:45.5844639Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:25:45.5845246Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:25:45.5845692Z ##[endgroup]
2025-03-21T20:25:56.1258734Z b8fc89abde0c
2025-03-21T20:25:56.3479817Z Deleted Containers:
2025-03-21T20:25:56.3480378Z b8fc89abde0c10fabe6c734ea2fabd0e52cdcf70be528e55809dfb5696d2dbd4
2025-03-21T20:25:56.3480780Z 
2025-03-21T20:25:59.2258817Z Deleted Images:
2025-03-21T20:25:59.2259482Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine:latest
2025-03-21T20:25:59.2260634Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine@sha256:def822f9851ca422481ec6fee59a9966f12b351c62ccb9aca841526ffaa9f748
2025-03-21T20:25:59.2261588Z deleted: sha256:6dbb9cc54074106d46d4ccb330f2a40a682d49dda5f4844962b7dce9fe44aaec
2025-03-21T20:25:59.2262310Z deleted: sha256:b2d5eeeaba3a22b9b8aa97261957974a6bd65274ebd43e1d81d0a7b8b752b116
2025-03-21T20:25:59.2263475Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-clang12:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:25:59.2264848Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-clang12@sha256:39442b9b9f46a866e8b0b75f41b9b461fd673725abcfb700696cc8ad9cfdf0a7
2025-03-21T20:25:59.2266053Z deleted: sha256:22ce6c68b3236926f49a39bba2b81e911ed9b33f86ae61acb3f7d199e5465e40
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2025-03-21T20:25:59.2275946Z deleted: sha256:20ad2f7003b52ddd9cb6c6d2cc46f8ce1a8a0ae83fc9210c579998240c08e5c6
2025-03-21T20:25:59.2276625Z deleted: sha256:3b2613f9318c52d4987e4ff73716e74e324f519e8f8f3ab83c51d7423199e8c5
2025-03-21T20:25:59.2277301Z deleted: sha256:3439299846f50a2e5a17366d604c7463f7fea8f945321d3819d1e8f38c0923fd
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2025-03-21T20:25:59.2288617Z deleted: sha256:26b1377e85176a642c5b782619b486a09b5789b8d68502d8232eff37ced8fed6
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2025-03-21T20:25:59.2291773Z 
2025-03-21T20:25:59.2347563Z Total reclaimed space: 14.11GB
2025-03-21T20:25:59.2393251Z ##[group]Run set +e
2025-03-21T20:25:59.2393595Z set +e
2025-03-21T20:25:59.2393892Z if [[ "${NO_SUDO}" == "false" ]]; then
2025-03-21T20:25:59.2394340Z   sudo rm -rf "${GITHUB_WORKSPACE:?}/${REPOSITORY:?}"
2025-03-21T20:25:59.2394757Z else
2025-03-21T20:25:59.2395066Z   rm -rf "${GITHUB_WORKSPACE:?}/${REPOSITORY:?}"
2025-03-21T20:25:59.2395433Z fi
2025-03-21T20:25:59.2395682Z set -e
2025-03-21T20:25:59.2402297Z shell: /usr/bin/bash -e {0}
2025-03-21T20:25:59.2402623Z env:
2025-03-21T20:25:59.2402922Z   DOCKER_IMAGE: executorch-ubuntu-22.04-clang12
2025-03-21T20:25:59.2403328Z   REPOSITORY: pytorch/executorch
2025-03-21T20:25:59.2403742Z   PR_NUMBER: 
2025-03-21T20:25:59.2405571Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

MODEL_NAME=mobilebert
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}"

2025-03-21T20:25:59.2407580Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:25:59.2408207Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:25:59.2408808Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:25:59.2409241Z   NO_SUDO: false
2025-03-21T20:25:59.2409502Z ##[endgroup]
2025-03-21T20:26:00.2688388Z Post job cleanup.
2025-03-21T20:26:00.3735401Z Post job cleanup.
2025-03-21T20:26:00.4709937Z [command]/usr/bin/git version
2025-03-21T20:26:00.4764355Z git version 2.47.1
2025-03-21T20:26:00.4799201Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/9ae3987f-1dcd-4691-bb53-6d7a12549a03/.gitconfig'
2025-03-21T20:26:00.4809150Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/9ae3987f-1dcd-4691-bb53-6d7a12549a03' before making global git config changes
2025-03-21T20:26:00.4811396Z Adding repository directory to the temporary git global config as a safe directory
2025-03-21T20:26:00.4816184Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/executorch/executorch/test-infra
2025-03-21T20:26:00.4851907Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-03-21T20:26:00.4888658Z [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' || :"
2025-03-21T20:26:00.5168115Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-03-21T20:26:00.5187745Z http.https://github.com/.extraheader
2025-03-21T20:26:00.5199615Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader
2025-03-21T20:26:00.5228539Z [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' || :"
2025-03-21T20:26:00.5549853Z A job completed hook has been configured by the self-hosted runner administrator
2025-03-21T20:26:00.5579709Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh'
2025-03-21T20:26:00.5585481Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:26:00.5586046Z ##[endgroup]
2025-03-21T20:26:00.5690837Z [!ALERT!] Swap in detected! [!ALERT!]
2025-03-21T20:26:11.5390951Z [!ALERT!] Swap out detected [!ALERT!]
2025-03-21T20:26:28.8301117Z Cleaning up orphan processes